diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 00000000..63b64124 --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1,41 @@ +include README.rst +include CHANGES.rst + +include ez_setup.py +include ah_bootstrap.py +include setup.cfg +include packagename/tests/coveragerc + +recursive-include packagename *.pyx *.c *.pxd +recursive-include docs * +recursive-include licenses * +recursive-include cextern * +recursive-include scripts * + +prune build +prune docs/_build +prune docs/api + + +# the next few stanzas are for astropy_helpers. It's derived from the +# astropy_helpers/MANIFEST.in, but requires additional includes for the actual +# package directory and egg-info. + +include astropy_helpers/README.rst +include astropy_helpers/CHANGES.rst +include astropy_helpers/LICENSE.rst +recursive-include astropy_helpers/licenses * + +include astropy_helpers/ez_setup.py +include astropy_helpers/ah_bootstrap.py + +recursive-include astropy_helpers/astropy_helpers *.py *.pyx *.c *.h *.rst +recursive-include astropy_helpers/astropy_helpers.egg-info * +# include the sphinx stuff with "*" because there are css/html/rst/etc. +recursive-include astropy_helpers/astropy_helpers/sphinx * + +prune astropy_helpers/build +prune astropy_helpers/astropy_helpers/tests + + +global-exclude *.pyc *.o diff --git a/README.md b/README.md index e370dab8..a39aa6a2 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ pyNRC - A JWST NIRCam ETC *Authors:* Jarron Leisenring (University of Arizona) -*Contributors:* Everett Schlawin (University of Arizona) +*Contributors:* Everett Schlawin (University of Arizona), Jonathan Fraine (STScI) **!!Under Development!!** @@ -13,12 +13,13 @@ simulator. pyNRC works for a vareity NIRCam observing modes including direct imaging, coronagraphic imaging, slitless grism spectroscopy, ~~DHS observations~~ (TBI), and weak lens imaging. -All PSFs are generated via WebbPSF (https://pythonhosted.org/webbpsf/) to reproduce +All PSFs are generated via WebbPSF (https://webbpsf.readthedocs.io/en/stable/) to reproduce realistic JWST images and spectra. **Note**: pyNRC allows for more modes than are officially allowed by the Observatory, (ie., filter + coronagraphic combinations, subarray sizes, etc.). Just because you can do something with pyNRC does not mean it will be supported. +Check out https://jwst-docs.stsci.edu/display/JTI/NIRCam+Observing+Modes for more information. ## Installation diff --git a/ah_bootstrap.py b/ah_bootstrap.py new file mode 100644 index 00000000..786b8b14 --- /dev/null +++ b/ah_bootstrap.py @@ -0,0 +1,958 @@ +""" +This bootstrap module contains code for ensuring that the astropy_helpers +package will be importable by the time the setup.py script runs. It also +includes some workarounds to ensure that a recent-enough version of setuptools +is being used for the installation. + +This module should be the first thing imported in the setup.py of distributions +that make use of the utilities in astropy_helpers. If the distribution ships +with its own copy of astropy_helpers, this module will first attempt to import +from the shipped copy. However, it will also check PyPI to see if there are +any bug-fix releases on top of the current version that may be useful to get +past platform-specific bugs that have been fixed. When running setup.py, use +the ``--offline`` command-line option to disable the auto-upgrade checks. + +When this module is imported or otherwise executed it automatically calls a +main function that attempts to read the project's setup.cfg file, which it +checks for a configuration section called ``[ah_bootstrap]`` the presences of +that section, and options therein, determine the next step taken: If it +contains an option called ``auto_use`` with a value of ``True``, it will +automatically call the main function of this module called +`use_astropy_helpers` (see that function's docstring for full details). +Otherwise no further action is taken (however, +``ah_bootstrap.use_astropy_helpers`` may be called manually from within the +setup.py script). + +Additional options in the ``[ah_boostrap]`` section of setup.cfg have the same +names as the arguments to `use_astropy_helpers`, and can be used to configure +the bootstrap script when ``auto_use = True``. + +See https://github.com/astropy/astropy-helpers for more details, and for the +latest version of this module. +""" + +import contextlib +import errno +import imp +import io +import locale +import os +import re +import subprocess as sp +import sys + +try: + from ConfigParser import ConfigParser, RawConfigParser +except ImportError: + from configparser import ConfigParser, RawConfigParser + + +if sys.version_info[0] < 3: + _str_types = (str, unicode) + _text_type = unicode + PY3 = False +else: + _str_types = (str, bytes) + _text_type = str + PY3 = True + + +# What follows are several import statements meant to deal with install-time +# issues with either missing or misbehaving pacakges (including making sure +# setuptools itself is installed): + + +# Some pre-setuptools checks to ensure that either distribute or setuptools >= +# 0.7 is used (over pre-distribute setuptools) if it is available on the path; +# otherwise the latest setuptools will be downloaded and bootstrapped with +# ``ez_setup.py``. This used to be included in a separate file called +# setuptools_bootstrap.py; but it was combined into ah_bootstrap.py +try: + import pkg_resources + _setuptools_req = pkg_resources.Requirement.parse('setuptools>=0.7') + # This may raise a DistributionNotFound in which case no version of + # setuptools or distribute is properly installed + _setuptools = pkg_resources.get_distribution('setuptools') + if _setuptools not in _setuptools_req: + # Older version of setuptools; check if we have distribute; again if + # this results in DistributionNotFound we want to give up + _distribute = pkg_resources.get_distribution('distribute') + if _setuptools != _distribute: + # It's possible on some pathological systems to have an old version + # of setuptools and distribute on sys.path simultaneously; make + # sure distribute is the one that's used + sys.path.insert(1, _distribute.location) + _distribute.activate() + imp.reload(pkg_resources) +except: + # There are several types of exceptions that can occur here; if all else + # fails bootstrap and use the bootstrapped version + from ez_setup import use_setuptools + use_setuptools() + + +# typing as a dependency for 1.6.1+ Sphinx causes issues when imported after +# initializing submodule with ah_boostrap.py +# See discussion and references in +# https://github.com/astropy/astropy-helpers/issues/302 + +try: + import typing # noqa +except ImportError: + pass + + +# Note: The following import is required as a workaround to +# https://github.com/astropy/astropy-helpers/issues/89; if we don't import this +# module now, it will get cleaned up after `run_setup` is called, but that will +# later cause the TemporaryDirectory class defined in it to stop working when +# used later on by setuptools +try: + import setuptools.py31compat # noqa +except ImportError: + pass + + +# matplotlib can cause problems if it is imported from within a call of +# run_setup(), because in some circumstances it will try to write to the user's +# home directory, resulting in a SandboxViolation. See +# https://github.com/matplotlib/matplotlib/pull/4165 +# Making sure matplotlib, if it is available, is imported early in the setup +# process can mitigate this (note importing matplotlib.pyplot has the same +# issue) +try: + import matplotlib + matplotlib.use('Agg') + import matplotlib.pyplot +except: + # Ignore if this fails for *any* reason* + pass + + +# End compatibility imports... + + +# In case it didn't successfully import before the ez_setup checks +import pkg_resources + +from setuptools import Distribution +from setuptools.package_index import PackageIndex +from setuptools.sandbox import run_setup + +from distutils import log +from distutils.debug import DEBUG + + +# TODO: Maybe enable checking for a specific version of astropy_helpers? +DIST_NAME = 'astropy-helpers' +PACKAGE_NAME = 'astropy_helpers' + +# Defaults for other options +DOWNLOAD_IF_NEEDED = True +INDEX_URL = 'https://pypi.python.org/simple' +USE_GIT = True +OFFLINE = False +AUTO_UPGRADE = True + +# A list of all the configuration options and their required types +CFG_OPTIONS = [ + ('auto_use', bool), ('path', str), ('download_if_needed', bool), + ('index_url', str), ('use_git', bool), ('offline', bool), + ('auto_upgrade', bool) +] + + +class _Bootstrapper(object): + """ + Bootstrapper implementation. See ``use_astropy_helpers`` for parameter + documentation. + """ + + def __init__(self, path=None, index_url=None, use_git=None, offline=None, + download_if_needed=None, auto_upgrade=None): + + if path is None: + path = PACKAGE_NAME + + if not (isinstance(path, _str_types) or path is False): + raise TypeError('path must be a string or False') + + if PY3 and not isinstance(path, _text_type): + fs_encoding = sys.getfilesystemencoding() + path = path.decode(fs_encoding) # path to unicode + + self.path = path + + # Set other option attributes, using defaults where necessary + self.index_url = index_url if index_url is not None else INDEX_URL + self.offline = offline if offline is not None else OFFLINE + + # If offline=True, override download and auto-upgrade + if self.offline: + download_if_needed = False + auto_upgrade = False + + self.download = (download_if_needed + if download_if_needed is not None + else DOWNLOAD_IF_NEEDED) + self.auto_upgrade = (auto_upgrade + if auto_upgrade is not None else AUTO_UPGRADE) + + # If this is a release then the .git directory will not exist so we + # should not use git. + git_dir_exists = os.path.exists(os.path.join(os.path.dirname(__file__), '.git')) + if use_git is None and not git_dir_exists: + use_git = False + + self.use_git = use_git if use_git is not None else USE_GIT + # Declared as False by default--later we check if astropy-helpers can be + # upgraded from PyPI, but only if not using a source distribution (as in + # the case of import from a git submodule) + self.is_submodule = False + + @classmethod + def main(cls, argv=None): + if argv is None: + argv = sys.argv + + config = cls.parse_config() + config.update(cls.parse_command_line(argv)) + + auto_use = config.pop('auto_use', False) + bootstrapper = cls(**config) + + if auto_use: + # Run the bootstrapper, otherwise the setup.py is using the old + # use_astropy_helpers() interface, in which case it will run the + # bootstrapper manually after reconfiguring it. + bootstrapper.run() + + return bootstrapper + + @classmethod + def parse_config(cls): + if not os.path.exists('setup.cfg'): + return {} + + cfg = ConfigParser() + + try: + cfg.read('setup.cfg') + except Exception as e: + if DEBUG: + raise + + log.error( + "Error reading setup.cfg: {0!r}\n{1} will not be " + "automatically bootstrapped and package installation may fail." + "\n{2}".format(e, PACKAGE_NAME, _err_help_msg)) + return {} + + if not cfg.has_section('ah_bootstrap'): + return {} + + config = {} + + for option, type_ in CFG_OPTIONS: + if not cfg.has_option('ah_bootstrap', option): + continue + + if type_ is bool: + value = cfg.getboolean('ah_bootstrap', option) + else: + value = cfg.get('ah_bootstrap', option) + + config[option] = value + + return config + + @classmethod + def parse_command_line(cls, argv=None): + if argv is None: + argv = sys.argv + + config = {} + + # For now we just pop recognized ah_bootstrap options out of the + # arg list. This is imperfect; in the unlikely case that a setup.py + # custom command or even custom Distribution class defines an argument + # of the same name then we will break that. However there's a catch22 + # here that we can't just do full argument parsing right here, because + # we don't yet know *how* to parse all possible command-line arguments. + if '--no-git' in argv: + config['use_git'] = False + argv.remove('--no-git') + + if '--offline' in argv: + config['offline'] = True + argv.remove('--offline') + + return config + + def run(self): + strategies = ['local_directory', 'local_file', 'index'] + dist = None + + # First, remove any previously imported versions of astropy_helpers; + # this is necessary for nested installs where one package's installer + # is installing another package via setuptools.sandbox.run_setup, as in + # the case of setup_requires + for key in list(sys.modules): + try: + if key == PACKAGE_NAME or key.startswith(PACKAGE_NAME + '.'): + del sys.modules[key] + except AttributeError: + # Sometimes mysterious non-string things can turn up in + # sys.modules + continue + + # Check to see if the path is a submodule + self.is_submodule = self._check_submodule() + + for strategy in strategies: + method = getattr(self, 'get_{0}_dist'.format(strategy)) + dist = method() + if dist is not None: + break + else: + raise _AHBootstrapSystemExit( + "No source found for the {0!r} package; {0} must be " + "available and importable as a prerequisite to building " + "or installing this package.".format(PACKAGE_NAME)) + + # This is a bit hacky, but if astropy_helpers was loaded from a + # directory/submodule its Distribution object gets a "precedence" of + # "DEVELOP_DIST". However, in other cases it gets a precedence of + # "EGG_DIST". However, when activing the distribution it will only be + # placed early on sys.path if it is treated as an EGG_DIST, so always + # do that + dist = dist.clone(precedence=pkg_resources.EGG_DIST) + + # Otherwise we found a version of astropy-helpers, so we're done + # Just active the found distribution on sys.path--if we did a + # download this usually happens automatically but it doesn't hurt to + # do it again + # Note: Adding the dist to the global working set also activates it + # (makes it importable on sys.path) by default. + + try: + pkg_resources.working_set.add(dist, replace=True) + except TypeError: + # Some (much) older versions of setuptools do not have the + # replace=True option here. These versions are old enough that all + # bets may be off anyways, but it's easy enough to work around just + # in case... + if dist.key in pkg_resources.working_set.by_key: + del pkg_resources.working_set.by_key[dist.key] + pkg_resources.working_set.add(dist) + + @property + def config(self): + """ + A `dict` containing the options this `_Bootstrapper` was configured + with. + """ + + return dict((optname, getattr(self, optname)) + for optname, _ in CFG_OPTIONS if hasattr(self, optname)) + + def get_local_directory_dist(self): + """ + Handle importing a vendored package from a subdirectory of the source + distribution. + """ + + if not os.path.isdir(self.path): + return + + log.info('Attempting to import astropy_helpers from {0} {1!r}'.format( + 'submodule' if self.is_submodule else 'directory', + self.path)) + + dist = self._directory_import() + + if dist is None: + log.warn( + 'The requested path {0!r} for importing {1} does not ' + 'exist, or does not contain a copy of the {1} ' + 'package.'.format(self.path, PACKAGE_NAME)) + elif self.auto_upgrade and not self.is_submodule: + # A version of astropy-helpers was found on the available path, but + # check to see if a bugfix release is available on PyPI + upgrade = self._do_upgrade(dist) + if upgrade is not None: + dist = upgrade + + return dist + + def get_local_file_dist(self): + """ + Handle importing from a source archive; this also uses setup_requires + but points easy_install directly to the source archive. + """ + + if not os.path.isfile(self.path): + return + + log.info('Attempting to unpack and import astropy_helpers from ' + '{0!r}'.format(self.path)) + + try: + dist = self._do_download(find_links=[self.path]) + except Exception as e: + if DEBUG: + raise + + log.warn( + 'Failed to import {0} from the specified archive {1!r}: ' + '{2}'.format(PACKAGE_NAME, self.path, str(e))) + dist = None + + if dist is not None and self.auto_upgrade: + # A version of astropy-helpers was found on the available path, but + # check to see if a bugfix release is available on PyPI + upgrade = self._do_upgrade(dist) + if upgrade is not None: + dist = upgrade + + return dist + + def get_index_dist(self): + if not self.download: + log.warn('Downloading {0!r} disabled.'.format(DIST_NAME)) + return None + + log.warn( + "Downloading {0!r}; run setup.py with the --offline option to " + "force offline installation.".format(DIST_NAME)) + + try: + dist = self._do_download() + except Exception as e: + if DEBUG: + raise + log.warn( + 'Failed to download and/or install {0!r} from {1!r}:\n' + '{2}'.format(DIST_NAME, self.index_url, str(e))) + dist = None + + # No need to run auto-upgrade here since we've already presumably + # gotten the most up-to-date version from the package index + return dist + + def _directory_import(self): + """ + Import astropy_helpers from the given path, which will be added to + sys.path. + + Must return True if the import succeeded, and False otherwise. + """ + + # Return True on success, False on failure but download is allowed, and + # otherwise raise SystemExit + path = os.path.abspath(self.path) + + # Use an empty WorkingSet rather than the man + # pkg_resources.working_set, since on older versions of setuptools this + # will invoke a VersionConflict when trying to install an upgrade + ws = pkg_resources.WorkingSet([]) + ws.add_entry(path) + dist = ws.by_key.get(DIST_NAME) + + if dist is None: + # We didn't find an egg-info/dist-info in the given path, but if a + # setup.py exists we can generate it + setup_py = os.path.join(path, 'setup.py') + if os.path.isfile(setup_py): + with _silence(): + run_setup(os.path.join(path, 'setup.py'), + ['egg_info']) + + for dist in pkg_resources.find_distributions(path, True): + # There should be only one... + return dist + + return dist + + def _do_download(self, version='', find_links=None): + if find_links: + allow_hosts = '' + index_url = None + else: + allow_hosts = None + index_url = self.index_url + + # Annoyingly, setuptools will not handle other arguments to + # Distribution (such as options) before handling setup_requires, so it + # is not straightforward to programmatically augment the arguments which + # are passed to easy_install + class _Distribution(Distribution): + def get_option_dict(self, command_name): + opts = Distribution.get_option_dict(self, command_name) + if command_name == 'easy_install': + if find_links is not None: + opts['find_links'] = ('setup script', find_links) + if index_url is not None: + opts['index_url'] = ('setup script', index_url) + if allow_hosts is not None: + opts['allow_hosts'] = ('setup script', allow_hosts) + return opts + + if version: + req = '{0}=={1}'.format(DIST_NAME, version) + else: + req = DIST_NAME + + attrs = {'setup_requires': [req]} + + try: + if DEBUG: + _Distribution(attrs=attrs) + else: + with _silence(): + _Distribution(attrs=attrs) + + # If the setup_requires succeeded it will have added the new dist to + # the main working_set + return pkg_resources.working_set.by_key.get(DIST_NAME) + except Exception as e: + if DEBUG: + raise + + msg = 'Error retrieving {0} from {1}:\n{2}' + if find_links: + source = find_links[0] + elif index_url != INDEX_URL: + source = index_url + else: + source = 'PyPI' + + raise Exception(msg.format(DIST_NAME, source, repr(e))) + + def _do_upgrade(self, dist): + # Build up a requirement for a higher bugfix release but a lower minor + # release (so API compatibility is guaranteed) + next_version = _next_version(dist.parsed_version) + + req = pkg_resources.Requirement.parse( + '{0}>{1},<{2}'.format(DIST_NAME, dist.version, next_version)) + + package_index = PackageIndex(index_url=self.index_url) + + upgrade = package_index.obtain(req) + + if upgrade is not None: + return self._do_download(version=upgrade.version) + + def _check_submodule(self): + """ + Check if the given path is a git submodule. + + See the docstrings for ``_check_submodule_using_git`` and + ``_check_submodule_no_git`` for further details. + """ + + if (self.path is None or + (os.path.exists(self.path) and not os.path.isdir(self.path))): + return False + + if self.use_git: + return self._check_submodule_using_git() + else: + return self._check_submodule_no_git() + + def _check_submodule_using_git(self): + """ + Check if the given path is a git submodule. If so, attempt to initialize + and/or update the submodule if needed. + + This function makes calls to the ``git`` command in subprocesses. The + ``_check_submodule_no_git`` option uses pure Python to check if the given + path looks like a git submodule, but it cannot perform updates. + """ + + cmd = ['git', 'submodule', 'status', '--', self.path] + + try: + log.info('Running `{0}`; use the --no-git option to disable git ' + 'commands'.format(' '.join(cmd))) + returncode, stdout, stderr = run_cmd(cmd) + except _CommandNotFound: + # The git command simply wasn't found; this is most likely the + # case on user systems that don't have git and are simply + # trying to install the package from PyPI or a source + # distribution. Silently ignore this case and simply don't try + # to use submodules + return False + + stderr = stderr.strip() + + if returncode != 0 and stderr: + # Unfortunately the return code alone cannot be relied on, as + # earlier versions of git returned 0 even if the requested submodule + # does not exist + + # This is a warning that occurs in perl (from running git submodule) + # which only occurs with a malformatted locale setting which can + # happen sometimes on OSX. See again + # https://github.com/astropy/astropy/issues/2749 + perl_warning = ('perl: warning: Falling back to the standard locale ' + '("C").') + if not stderr.strip().endswith(perl_warning): + # Some other unknown error condition occurred + log.warn('git submodule command failed ' + 'unexpectedly:\n{0}'.format(stderr)) + return False + + # Output of `git submodule status` is as follows: + # + # 1: Status indicator: '-' for submodule is uninitialized, '+' if + # submodule is initialized but is not at the commit currently indicated + # in .gitmodules (and thus needs to be updated), or 'U' if the + # submodule is in an unstable state (i.e. has merge conflicts) + # + # 2. SHA-1 hash of the current commit of the submodule (we don't really + # need this information but it's useful for checking that the output is + # correct) + # + # 3. The output of `git describe` for the submodule's current commit + # hash (this includes for example what branches the commit is on) but + # only if the submodule is initialized. We ignore this information for + # now + _git_submodule_status_re = re.compile( + '^(?P[+-U ])(?P[0-9a-f]{40}) ' + '(?P\S+)( .*)?$') + + # The stdout should only contain one line--the status of the + # requested submodule + m = _git_submodule_status_re.match(stdout) + if m: + # Yes, the path *is* a git submodule + self._update_submodule(m.group('submodule'), m.group('status')) + return True + else: + log.warn( + 'Unexpected output from `git submodule status`:\n{0}\n' + 'Will attempt import from {1!r} regardless.'.format( + stdout, self.path)) + return False + + def _check_submodule_no_git(self): + """ + Like ``_check_submodule_using_git``, but simply parses the .gitmodules file + to determine if the supplied path is a git submodule, and does not exec any + subprocesses. + + This can only determine if a path is a submodule--it does not perform + updates, etc. This function may need to be updated if the format of the + .gitmodules file is changed between git versions. + """ + + gitmodules_path = os.path.abspath('.gitmodules') + + if not os.path.isfile(gitmodules_path): + return False + + # This is a minimal reader for gitconfig-style files. It handles a few of + # the quirks that make gitconfig files incompatible with ConfigParser-style + # files, but does not support the full gitconfig syntax (just enough + # needed to read a .gitmodules file). + gitmodules_fileobj = io.StringIO() + + # Must use io.open for cross-Python-compatible behavior wrt unicode + with io.open(gitmodules_path) as f: + for line in f: + # gitconfig files are more flexible with leading whitespace; just + # go ahead and remove it + line = line.lstrip() + + # comments can start with either # or ; + if line and line[0] in (':', ';'): + continue + + gitmodules_fileobj.write(line) + + gitmodules_fileobj.seek(0) + + cfg = RawConfigParser() + + try: + cfg.readfp(gitmodules_fileobj) + except Exception as exc: + log.warn('Malformatted .gitmodules file: {0}\n' + '{1} cannot be assumed to be a git submodule.'.format( + exc, self.path)) + return False + + for section in cfg.sections(): + if not cfg.has_option(section, 'path'): + continue + + submodule_path = cfg.get(section, 'path').rstrip(os.sep) + + if submodule_path == self.path.rstrip(os.sep): + return True + + return False + + def _update_submodule(self, submodule, status): + if status == ' ': + # The submodule is up to date; no action necessary + return + elif status == '-': + if self.offline: + raise _AHBootstrapSystemExit( + "Cannot initialize the {0} submodule in --offline mode; " + "this requires being able to clone the submodule from an " + "online repository.".format(submodule)) + cmd = ['update', '--init'] + action = 'Initializing' + elif status == '+': + cmd = ['update'] + action = 'Updating' + if self.offline: + cmd.append('--no-fetch') + elif status == 'U': + raise _AHBootstrapSystemExit( + 'Error: Submodule {0} contains unresolved merge conflicts. ' + 'Please complete or abandon any changes in the submodule so that ' + 'it is in a usable state, then try again.'.format(submodule)) + else: + log.warn('Unknown status {0!r} for git submodule {1!r}. Will ' + 'attempt to use the submodule as-is, but try to ensure ' + 'that the submodule is in a clean state and contains no ' + 'conflicts or errors.\n{2}'.format(status, submodule, + _err_help_msg)) + return + + err_msg = None + cmd = ['git', 'submodule'] + cmd + ['--', submodule] + log.warn('{0} {1} submodule with: `{2}`'.format( + action, submodule, ' '.join(cmd))) + + try: + log.info('Running `{0}`; use the --no-git option to disable git ' + 'commands'.format(' '.join(cmd))) + returncode, stdout, stderr = run_cmd(cmd) + except OSError as e: + err_msg = str(e) + else: + if returncode != 0: + err_msg = stderr + + if err_msg is not None: + log.warn('An unexpected error occurred updating the git submodule ' + '{0!r}:\n{1}\n{2}'.format(submodule, err_msg, + _err_help_msg)) + +class _CommandNotFound(OSError): + """ + An exception raised when a command run with run_cmd is not found on the + system. + """ + + +def run_cmd(cmd): + """ + Run a command in a subprocess, given as a list of command-line + arguments. + + Returns a ``(returncode, stdout, stderr)`` tuple. + """ + + try: + p = sp.Popen(cmd, stdout=sp.PIPE, stderr=sp.PIPE) + # XXX: May block if either stdout or stderr fill their buffers; + # however for the commands this is currently used for that is + # unlikely (they should have very brief output) + stdout, stderr = p.communicate() + except OSError as e: + if DEBUG: + raise + + if e.errno == errno.ENOENT: + msg = 'Command not found: `{0}`'.format(' '.join(cmd)) + raise _CommandNotFound(msg, cmd) + else: + raise _AHBootstrapSystemExit( + 'An unexpected error occurred when running the ' + '`{0}` command:\n{1}'.format(' '.join(cmd), str(e))) + + + # Can fail of the default locale is not configured properly. See + # https://github.com/astropy/astropy/issues/2749. For the purposes under + # consideration 'latin1' is an acceptable fallback. + try: + stdio_encoding = locale.getdefaultlocale()[1] or 'latin1' + except ValueError: + # Due to an OSX oddity locale.getdefaultlocale() can also crash + # depending on the user's locale/language settings. See: + # http://bugs.python.org/issue18378 + stdio_encoding = 'latin1' + + # Unlikely to fail at this point but even then let's be flexible + if not isinstance(stdout, _text_type): + stdout = stdout.decode(stdio_encoding, 'replace') + if not isinstance(stderr, _text_type): + stderr = stderr.decode(stdio_encoding, 'replace') + + return (p.returncode, stdout, stderr) + + +def _next_version(version): + """ + Given a parsed version from pkg_resources.parse_version, returns a new + version string with the next minor version. + + Examples + ======== + >>> _next_version(pkg_resources.parse_version('1.2.3')) + '1.3.0' + """ + + if hasattr(version, 'base_version'): + # New version parsing from setuptools >= 8.0 + if version.base_version: + parts = version.base_version.split('.') + else: + parts = [] + else: + parts = [] + for part in version: + if part.startswith('*'): + break + parts.append(part) + + parts = [int(p) for p in parts] + + if len(parts) < 3: + parts += [0] * (3 - len(parts)) + + major, minor, micro = parts[:3] + + return '{0}.{1}.{2}'.format(major, minor + 1, 0) + + +class _DummyFile(object): + """A noop writeable object.""" + + errors = '' # Required for Python 3.x + encoding = 'utf-8' + + def write(self, s): + pass + + def flush(self): + pass + + +@contextlib.contextmanager +def _silence(): + """A context manager that silences sys.stdout and sys.stderr.""" + + old_stdout = sys.stdout + old_stderr = sys.stderr + sys.stdout = _DummyFile() + sys.stderr = _DummyFile() + exception_occurred = False + try: + yield + except: + exception_occurred = True + # Go ahead and clean up so that exception handling can work normally + sys.stdout = old_stdout + sys.stderr = old_stderr + raise + + if not exception_occurred: + sys.stdout = old_stdout + sys.stderr = old_stderr + + +_err_help_msg = """ +If the problem persists consider installing astropy_helpers manually using pip +(`pip install astropy_helpers`) or by manually downloading the source archive, +extracting it, and installing by running `python setup.py install` from the +root of the extracted source code. +""" + + +class _AHBootstrapSystemExit(SystemExit): + def __init__(self, *args): + if not args: + msg = 'An unknown problem occurred bootstrapping astropy_helpers.' + else: + msg = args[0] + + msg += '\n' + _err_help_msg + + super(_AHBootstrapSystemExit, self).__init__(msg, *args[1:]) + + +BOOTSTRAPPER = _Bootstrapper.main() + + +def use_astropy_helpers(**kwargs): + """ + Ensure that the `astropy_helpers` module is available and is importable. + This supports automatic submodule initialization if astropy_helpers is + included in a project as a git submodule, or will download it from PyPI if + necessary. + + Parameters + ---------- + + path : str or None, optional + A filesystem path relative to the root of the project's source code + that should be added to `sys.path` so that `astropy_helpers` can be + imported from that path. + + If the path is a git submodule it will automatically be initialized + and/or updated. + + The path may also be to a ``.tar.gz`` archive of the astropy_helpers + source distribution. In this case the archive is automatically + unpacked and made temporarily available on `sys.path` as a ``.egg`` + archive. + + If `None` skip straight to downloading. + + download_if_needed : bool, optional + If the provided filesystem path is not found an attempt will be made to + download astropy_helpers from PyPI. It will then be made temporarily + available on `sys.path` as a ``.egg`` archive (using the + ``setup_requires`` feature of setuptools. If the ``--offline`` option + is given at the command line the value of this argument is overridden + to `False`. + + index_url : str, optional + If provided, use a different URL for the Python package index than the + main PyPI server. + + use_git : bool, optional + If `False` no git commands will be used--this effectively disables + support for git submodules. If the ``--no-git`` option is given at the + command line the value of this argument is overridden to `False`. + + auto_upgrade : bool, optional + By default, when installing a package from a non-development source + distribution ah_boostrap will try to automatically check for patch + releases to astropy-helpers on PyPI and use the patched version over + any bundled versions. Setting this to `False` will disable that + functionality. If the ``--offline`` option is given at the command line + the value of this argument is overridden to `False`. + + offline : bool, optional + If `False` disable all actions that require an internet connection, + including downloading packages from the package index and fetching + updates to any git submodule. Defaults to `True`. + """ + + global BOOTSTRAPPER + + config = BOOTSTRAPPER.config + config.update(**kwargs) + + # Create a new bootstrapper with the updated configuration and run it + BOOTSTRAPPER = _Bootstrapper(**config) + BOOTSTRAPPER.run() diff --git a/astropy_helpers/.gitignore b/astropy_helpers/.gitignore new file mode 100644 index 00000000..984fb3bc --- /dev/null +++ b/astropy_helpers/.gitignore @@ -0,0 +1,54 @@ +# Compiled files +*.py[cod] +*.a +*.o +*.so +*.pyd +__pycache__ + +# Ignore .c files by default to avoid including generated code. If you want to +# add a non-generated .c extension, use `git add -f filename.c`. +*.c + +# Other generated files +MANIFEST +astropy_helpers/version.py +astropy_helpers/cython_version.py + +# Sphinx +_build +_generated + + +# Packages/installer info +*.egg +*.egg-info +dist +build +eggs +parts +bin +var +sdist +develop-eggs +.installed.cfg +distribute-*.tar.gz + +# Other +.cache +.tox +.*.swp +*~ +.project +.pydevproject +.settings +.coverage +cover +htmlcov + +# Mac OSX +.DS_Store + +# PyCharm +.idea + diff --git a/astropy_helpers/.travis.yml b/astropy_helpers/.travis.yml new file mode 100644 index 00000000..6e91223c --- /dev/null +++ b/astropy_helpers/.travis.yml @@ -0,0 +1,64 @@ +# We set the language to c because python isn't supported on the MacOS X nodes +# on Travis. However, the language ends up being irrelevant anyway, since we +# install Python ourselves using conda. +language: c + +os: + - osx + - linux + +# Setting sudo to false opts in to Travis-CI container-based builds. +sudo: false + +env: + matrix: + - PYTHON_VERSION=2.7 EVENT_TYPE='push pull_request cron' + - PYTHON_VERSION=3.4 SETUPTOOLS_VERSION=20 + - PYTHON_VERSION=3.5 + - PYTHON_VERSION=3.6 SETUPTOOLS_VERSION=dev DEBUG=True + CONDA_DEPENDENCIES='sphinx cython numpy packaging six appdirs' + EVENT_TYPE='push pull_request cron' + + global: + - CONDA_DEPENDENCIES="setuptools sphinx cython numpy" + - PIP_DEPENDENCIES="coveralls pytest-cov" + - EVENT_TYPE='push pull_request' + +matrix: + include: + - os: linux + env: PYTHON_VERSION=3.6 SPHINX_VERSION='>1.6' + + - os: linux + env: PYTHON_VERSION=3.6 PIP_DEPENDENCIES='git+https://github.com/sphinx-doc/sphinx.git#egg=sphinx coveralls pytest-cov' + CONDA_DEPENDENCIES="setuptools cython numpy" + + - os: linux + env: PYTHON_VERSION=3.5 SPHINX_VERSION='<1.4' + - os: linux + env: PYTHON_VERSION=3.5 SPHINX_VERSION='<1.5' + - os: linux + env: PYTHON_VERSION=3.6 SPHINX_VERSION='<1.6' + +install: + + - git clone git://github.com/astropy/ci-helpers.git + - source ci-helpers/travis/setup_conda.sh + + # We cannot install the developer version of setuptools using pip because + # pip tries to remove the previous version of setuptools before the + # installation is complete, which causes issues. Instead, we just install + # setuptools manually. + - if [[ $SETUPTOOLS_VERSION == dev ]]; then git clone http://github.com/pypa/setuptools.git; cd setuptools; python bootstrap.py; python setup.py install; cd ..; fi + +before_script: + # Some of the tests use git commands that require a user to be configured + - git config --global user.name "A U Thor" + - git config --global user.email "author@example.com" + +script: + # Use full path for coveragerc; see issue #193 + - py.test --cov astropy_helpers --cov-config $(pwd)/astropy_helpers/tests/coveragerc astropy_helpers + +after_success: + - coveralls --rcfile=astropy_helpers/tests/coveragerc diff --git a/astropy_helpers/CHANGES.rst b/astropy_helpers/CHANGES.rst new file mode 100644 index 00000000..b8888881 --- /dev/null +++ b/astropy_helpers/CHANGES.rst @@ -0,0 +1,449 @@ +astropy-helpers Changelog +************************* + +3.0 (unreleased) +---------------- + +- Removing deprecated _test_compat making astropy a hard dependency for + packages wishing to use the astropy tests machinery. [#314] + +- Removing unused 'register' command since packages should be uploaded + with twine and get registered automatically. [#332] + +2.0.2 (unreleased) +------------------ + +- Added new helper function add_openmp_flags_if_available that can add + OpenMP compilation flags to a C/Cython extension if needed. [#346] + +- Update numpydoc to v0.7. [#343] + +- The function ``get_git_devstr`` now returns ``'0'`` instead of ``None`` when + no git repository is present. This allows generation of development version + strings that are in a format that ``setuptools`` expects (e.g. "1.1.3.dev0" + instead of "1.1.3.dev"). [#330] + +- It is now possible to override generated timestamps to make builds + reproducible by setting the ``SOURCE_DATE_EPOCH`` environment variable [#341] + +- Mark Sphinx extensions as parallel-safe. [#344] + +- Switch to using mathjax instead of imgmath for local builds. [#342] + +- Deprecate ``exclude`` parameter of various functions in setup_helpers since + it could not work as intended. Add new function ``add_exclude_packages`` to + provide intended behavior. [#331] + +- Allow custom Sphinx doctest extension to recognize and process standard + doctest directives ``testsetup`` and ``doctest``. [#335] + +2.0.1 (2017-07-28) +------------------ + +- Fix compatibility with Sphinx <1.5. [#326] + + +2.0 (2017-07-06) +---------------- + +- Add support for package that lies in a subdirectory. [#249] + +- Removing ``compat.subprocess``. [#298] + +- Python 3.3 is no longer supported. [#300] + +- The 'automodapi' Sphinx extension (and associated dependencies) has now + been moved to a standalone package which can be found at + https://github.com/astropy/sphinx-automodapi - this is now bundled in + astropy-helpers under astropy_helpers.extern.automodapi for + convenience. Version shipped with astropy-helpers is v0.6. + [#278, #303, #309, #323] + +- The ``numpydoc`` Sphinx extension has now been moved to + ``astropy_helpers.extern``. [#278] + +- Fix ``build_docs`` error catching, so it doesn't hide Sphinx errors. [#292] + +- Fix compatibility with Sphinx 1.6. [#318] + +- Updating ez_setup.py to the last version before it's removal. [#321] + + +1.3.1 (2017-03-18) +------------------ + +- Fixed the missing button to hide output in documentation code + blocks. [#287] + +- Fixed bug when ``build_docs`` when running with the clean (-l) option. [#289] + +- Add alternative location for various intersphinx inventories to fall back + to. [#293] + + +1.3 (2016-12-16) +---------------- + +- ``build_sphinx`` has been deprecated in favor of the ``build_docs`` command. + [#246] + +- Force the use of Cython's old ``build_ext`` command. A new ``build_ext`` + command was added in Cython 0.25, but it does not work with astropy-helpers + currently. [#261] + + +1.2 (2016-06-18) +---------------- + +- Added sphinx configuration value ``automodsumm_inherited_members``. + If ``True`` this will include members that are inherited from a base + class in the generated API docs. Defaults to ``False`` which matches + the previous behavior. [#215] + +- Fixed ``build_sphinx`` to recognize builds that succeeded but have output + *after* the "build succeeded." statement. This only applies when + ``--warnings-returncode`` is given (which is primarily relevant for Travis + documentation builds). [#223] + +- Fixed ``build_sphinx`` the sphinx extensions to not output a spurious warning + for sphinx versions > 1.4. [#229] + +- Add Python version dependent local sphinx inventories that contain + otherwise missing references. [#216] + +- ``astropy_helpers`` now require Sphinx 1.3 or later. [#226] + + +1.1.2 (2016-03-9) +----------------- + +- The CSS for the sphinx documentation was altered to prevent some text overflow + problems. [#217] + + +1.1.1 (2015-12-23) +------------------ + +- Fixed crash in build with ``AttributeError: cython_create_listing`` with + older versions of setuptools. [#209, #210] + + +1.1 (2015-12-10) +---------------- + +- The original ``AstropyTest`` class in ``astropy_helpers``, which implements + the ``setup.py test`` command, is deprecated in favor of moving the + implementation of that command closer to the actual Astropy test runner in + ``astropy.tests``. Now a dummy ``test`` command is provided solely for + informing users that they need ``astropy`` installed to run the tests + (however, the previous, now deprecated implementation is still provided and + continues to work with older versions of Astropy). See the related issue for + more details. [#184] + +- Added a useful new utility function to ``astropy_helpers.utils`` called + ``find_data_files``. This is similar to the ``find_packages`` function in + setuptools in that it can be used to search a package for data files + (matching a pattern) that can be passed to the ``package_data`` argument for + ``setup()``. See the docstring to ``astropy_helpers.utils.find_data_files`` + for more details. [#42] + +- The ``astropy_helpers`` module now sets the global ``_ASTROPY_SETUP_`` + flag upon import (from within a ``setup.py``) script, so it's not necessary + to have this in the ``setup.py`` script explicitly. If in doubt though, + there's no harm in setting it twice. Putting it in ``astropy_helpers`` + just ensures that any other imports that occur during build will have this + flag set. [#191] + +- It is now possible to use Cython as a ``setup_requires`` build requirement, + and still build Cython extensions even if Cython wasn't available at the + beginning of the build processes (that is, is automatically downloaded via + setuptools' processing of ``setup_requires``). [#185] + +- Moves the ``adjust_compiler`` check into the ``build_ext`` command itself, + so it's only used when actually building extension modules. This also + deprecates the stand-alone ``adjust_compiler`` function. [#76] + +- When running the ``build_sphinx`` / ``build_docs`` command with the ``-w`` + option, the output from Sphinx is streamed as it runs instead of silently + buffering until the doc build is complete. [#197] + +1.0.7 (unreleased) +------------------ + +- Fix missing import in ``astropy_helpers/utils.py``. [#196] + +1.0.6 (2015-12-04) +------------------ + +- Fixed bug where running ``./setup.py build_sphinx`` could return successfully + even when the build was not successful (and should have returned a non-zero + error code). [#199] + + +1.0.5 (2015-10-02) +------------------ + +- Fixed a regression in the ``./setup.py test`` command that was introduced in + v1.0.4. + + +1.0.4 (2015-10-02) +------------------ + +- Fixed issue with the sphinx documentation css where the line numbers for code + blocks were not aligned with the code. [#179, #180] + +- Fixed crash that could occur when trying to build Cython extension modules + when Cython isn't installed. Normally this still results in a failed build, + but was supposed to provide a useful error message rather than crash + outright (this was a regression introduced in v1.0.3). [#181] + +- Fixed a crash that could occur on Python 3 when a working C compiler isn't + found. [#182] + +- Quieted warnings about deprecated Numpy API in Cython extensions, when + building Cython extensions against Numpy >= 1.7. [#183, #186] + +- Improved support for py.test >= 2.7--running the ``./setup.py test`` command + now copies all doc pages into the temporary test directory as well, so that + all test files have a "common root directory". [#189, #190] + + +1.0.3 (2015-07-22) +------------------ + +- Added workaround for sphinx-doc/sphinx#1843, a but in Sphinx which + prevented descriptor classes with a custom metaclass from being documented + correctly. [#158] + +- Added an alias for the ``./setup.py build_sphinx`` command as + ``./setup.py build_docs`` which, to a new contributor, should hopefully be + less cryptic. [#161] + +- The fonts in graphviz diagrams now match the font of the HTML content. [#169] + +- When the documentation is built on readthedocs.org, MathJax will be + used for math rendering. When built elsewhere, the "pngmath" + extension is still used for math rendering. [#170] + +- Fix crash when importing astropy_helpers when running with ``python -OO`` + [#171] + +- The ``build`` and ``build_ext`` stages now correctly recognize the presence + of C++ files in Cython extensions (previously only vanilla C worked). [#173] + + +1.0.2 (2015-04-02) +------------------ + +- Various fixes enabling the astropy-helpers Sphinx build command and + Sphinx extensions to work with Sphinx 1.3. [#148] + +- More improvement to the ability to handle multiple versions of + astropy-helpers being imported in the same Python interpreter session + in the (somewhat rare) case of nested installs. [#147] + +- To better support high resolution displays, use SVG for the astropy + logo and linkout image, falling back to PNGs for browsers that + support it. [#150, #151] + +- Improve ``setup_helpers.get_compiler_version`` to work with more compilers, + and to return more info. This will help fix builds of Astropy on less + common compilers, like Sun C. [#153] + +1.0.1 (2015-03-04) +------------------ + +- Released in concert with v0.4.8 to address the same issues. + +0.4.8 (2015-03-04) +------------------ + +- Improved the ``ah_bootstrap`` script's ability to override existing + installations of astropy-helpers with new versions in the context of + installing multiple packages simultaneously within the same Python + interpreter (e.g. when one package has in its ``setup_requires`` another + package that uses a different version of astropy-helpers. [#144] + +- Added a workaround to an issue in matplotlib that can, in rare cases, lead + to a crash when installing packages that import matplotlib at build time. + [#144] + +1.0 (2015-02-17) +---------------- + +- Added new pre-/post-command hook points for ``setup.py`` commands. Now any + package can define code to run before and/or after any ``setup.py`` command + without having to manually subclass that command by adding + ``pre__hook`` and ``post__hook`` callables to + the package's ``setup_package.py`` module. See the PR for more details. + [#112] + +- The following objects in the ``astropy_helpers.setup_helpers`` module have + been relocated: + + - ``get_dummy_distribution``, ``get_distutils_*``, ``get_compiler_option``, + ``add_command_option``, ``is_distutils_display_option`` -> + ``astropy_helpers.distutils_helpers`` + + - ``should_build_with_cython``, ``generate_build_ext_command`` -> + ``astropy_helpers.commands.build_ext`` + + - ``AstropyBuildPy`` -> ``astropy_helpers.commands.build_py`` + + - ``AstropyBuildSphinx`` -> ``astropy_helpers.commands.build_sphinx`` + + - ``AstropyInstall`` -> ``astropy_helpers.commands.install`` + + - ``AstropyInstallLib`` -> ``astropy_helpers.commands.install_lib`` + + - ``AstropyRegister`` -> ``astropy_helpers.commands.register`` + + - ``get_pkg_version_module`` -> ``astropy_helpers.version_helpers`` + + - ``write_if_different``, ``import_file``, ``get_numpy_include_path`` -> + ``astropy_helpers.utils`` + + All of these are "soft" deprecations in the sense that they are still + importable from ``astropy_helpers.setup_helpers`` for now, and there is + no (easy) way to produce deprecation warnings when importing these objects + from ``setup_helpers`` rather than directly from the modules they are + defined in. But please consider updating any imports to these objects. + [#110] + +- Use of the ``astropy.sphinx.ext.astropyautosummary`` extension is deprecated + for use with Sphinx < 1.2. Instead it should suffice to remove this + extension for the ``extensions`` list in your ``conf.py`` and add the stock + ``sphinx.ext.autosummary`` instead. [#131] + + +0.4.7 (2015-02-17) +------------------ + +- Fixed incorrect/missing git hash being added to the generated ``version.py`` + when creating a release. [#141] + + +0.4.6 (2015-02-16) +------------------ + +- Fixed problems related to the automatically generated _compiler + module not being created properly. [#139] + + +0.4.5 (2015-02-11) +------------------ + +- Fixed an issue where ah_bootstrap.py could blow up when astropy_helper's + version number is 1.0. + +- Added a workaround for documentation of properties in the rare case + where the class's metaclass has a property of the same name. [#130] + +- Fixed an issue on Python 3 where importing a package using astropy-helper's + generated version.py module would crash when the current working directory + is an empty git repository. [#114, #137] + +- Fixed an issue where the "revision count" appended to .dev versions by + the generated version.py did not accurately reflect the revision count for + the package it belongs to, and could be invalid if the current working + directory is an unrelated git repository. [#107, #137] + +- Likewise, fixed a confusing warning message that could occur in the same + circumstances as the above issue. [#121, #137] + + +0.4.4 (2014-12-31) +------------------ + +- More improvements for building the documentation using Python 3.x. [#100] + +- Additional minor fixes to Python 3 support. [#115] + +- Updates to support new test features in Astropy [#92, #106] + + +0.4.3 (2014-10-22) +------------------ + +- The generated ``version.py`` file now preserves the git hash of installed + copies of the package as well as when building a source distribution. That + is, the git hash of the changeset that was installed/released is preserved. + [#87] + +- In smart resolver add resolution for class links when they exist in the + intersphinx inventory, but not the mapping of the current package + (e.g. when an affiliated package uses an astropy core class of which + "actual" and "documented" location differs) [#88] + +- Fixed a bug that could occur when running ``setup.py`` for the first time + in a repository that uses astropy-helpers as a submodule: + ``AttributeError: 'NoneType' object has no attribute 'mkdtemp'`` [#89] + +- Fixed a bug where optional arguments to the ``doctest-skip`` Sphinx + directive were sometimes being left in the generated documentation output. + [#90] + +- Improved support for building the documentation using Python 3.x. [#96] + +- Avoid error message if .git directory is not present. [#91] + + +0.4.2 (2014-08-09) +------------------ + +- Fixed some CSS issues in generated API docs. [#69] + +- Fixed the warning message that could be displayed when generating a + version number with some older versions of git. [#77] + +- Fixed automodsumm to work with new versions of Sphinx (>= 1.2.2). [#80] + + +0.4.1 (2014-08-08) +------------------ + +- Fixed git revision count on systems with git versions older than v1.7.2. + [#70] + +- Fixed display of warning text when running a git command fails (previously + the output of stderr was not being decoded properly). [#70] + +- The ``--offline`` flag to ``setup.py`` understood by ``ah_bootstrap.py`` + now also prevents git from going online to fetch submodule updates. [#67] + +- The Sphinx extension for converting issue numbers to links in the changelog + now supports working on arbitrary pages via a new ``conf.py`` setting: + ``changelog_links_docpattern``. By default it affects the ``changelog`` + and ``whatsnew`` pages in one's Sphinx docs. [#61] + +- Fixed crash that could result from users with missing/misconfigured + locale settings. [#58] + +- The font used for code examples in the docs is now the + system-defined ``monospace`` font, rather than ``Minaco``, which is + not available on all platforms. [#50] + + +0.4 (2014-07-15) +---------------- + +- Initial release of astropy-helpers. See `APE4 + `_ for + details of the motivation and design of this package. + +- The ``astropy_helpers`` package replaces the following modules in the + ``astropy`` package: + + - ``astropy.setup_helpers`` -> ``astropy_helpers.setup_helpers`` + + - ``astropy.version_helpers`` -> ``astropy_helpers.version_helpers`` + + - ``astropy.sphinx`` - > ``astropy_helpers.sphinx`` + + These modules should be considered deprecated in ``astropy``, and any new, + non-critical changes to those modules will be made in ``astropy_helpers`` + instead. Affiliated packages wishing to make use those modules (as in the + Astropy package-template) should use the versions from ``astropy_helpers`` + instead, and include the ``ah_bootstrap.py`` script in their project, for + bootstrapping the ``astropy_helpers`` package in their setup.py script. diff --git a/astropy_helpers/CONTRIBUTING.md b/astropy_helpers/CONTRIBUTING.md new file mode 100644 index 00000000..de6973cf --- /dev/null +++ b/astropy_helpers/CONTRIBUTING.md @@ -0,0 +1,20 @@ +Contributing to astropy-helpers +=============================== + +The guidelines for contributing to ``astropy-helpers`` are generally the same +as the [contributing guidelines for the astropy core +package](http://github.com/astropy/astropy/blob/master/CONTRIBUTING.md). +Basically, report relevant issues in the ``astropy-helpers`` issue tracker, and +we welcome pull requests that broadly follow the [Astropy coding +guidelines](http://docs.astropy.org/en/latest/development/codeguide.html). + +The key subtlety lies in understanding the relationship between ``astropy`` and +``astropy-helpers``. This package contains the build, installation, and +documentation tools used by astropy. It also includes support for the +``setup.py test`` command, though Astropy is still required for this to +function (it does not currently include the full Astropy test runner). So +issues or improvements to that functionality should be addressed in this +package. Any other aspect of the [astropy core +package](http://github.com/astropy/astropy) (or any other package that uses +``astropy-helpers``) should be addressed in the github repository for that +package. diff --git a/astropy_helpers/LICENSE.rst b/astropy_helpers/LICENSE.rst new file mode 100644 index 00000000..b618744b --- /dev/null +++ b/astropy_helpers/LICENSE.rst @@ -0,0 +1,26 @@ +Copyright (c) 2014, Astropy Developers + +All rights reserved. + +Redistribution and use in source and binary forms, with or without modification, +are permitted provided that the following conditions are met: + +* Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. +* Redistributions in binary form must reproduce the above copyright notice, this + list of conditions and the following disclaimer in the documentation and/or + other materials provided with the distribution. +* Neither the name of the Astropy Team nor the names of its contributors may be + used to endorse or promote products derived from this software without + specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR +ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON +ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/astropy_helpers/MANIFEST.in b/astropy_helpers/MANIFEST.in new file mode 100644 index 00000000..11c2cf88 --- /dev/null +++ b/astropy_helpers/MANIFEST.in @@ -0,0 +1,11 @@ +include README.rst +include CHANGES.rst +include LICENSE.rst +recursive-include licenses * + +include ez_setup.py +include ah_bootstrap.py + +exclude *.pyc *.o +prune build +prune astropy_helpers/tests diff --git a/astropy_helpers/README.rst b/astropy_helpers/README.rst new file mode 100644 index 00000000..00f53152 --- /dev/null +++ b/astropy_helpers/README.rst @@ -0,0 +1,51 @@ +astropy-helpers +=============== + +* Stable versions: https://pypi.org/project/astropy-helpers/ +* Development version, issue tracker: https://github.com/astropy/astropy-helpers + +This project provides a Python package, ``astropy_helpers``, which includes +many build, installation, and documentation-related tools used by the Astropy +project, but packaged separately for use by other projects that wish to +leverage this work. The motivation behind this package and details of its +implementation are in the accepted +`Astropy Proposal for Enhancement (APE) 4 `_. + +The ``astropy_helpers.extern`` sub-module includes modules developed elsewhere +that are bundled here for convenience. At the moment, this consists of the +following two sphinx extensions: + +* `numpydoc `_, a Sphinx extension + developed as part of the Numpy project. This is used to parse docstrings + in Numpy format + +* `sphinx-automodapi `_, a Sphinx + developed as part of the Astropy project. This used to be developed directly + in ``astropy-helpers`` but is now a standalone package. + +Issues with these sub-modules should be reported in their respective repositories, +and we will regularly update the bundled versions to reflect the latest released +versions. + +``astropy_helpers`` includes a special "bootstrap" module called +``ah_bootstrap.py`` which is intended to be used by a project's setup.py in +order to ensure that the ``astropy_helpers`` package is available for +build/installation. This is similar to the ``ez_setup.py`` module that is +shipped with some projects to bootstrap `setuptools +`_. + +As described in APE4, the version numbers for ``astropy_helpers`` follow the +corresponding major/minor version of the `astropy core package +`_, but with an independent sequence of micro (bugfix) +version numbers. Hence, the initial release is 0.4, in parallel with Astropy +v0.4, which will be the first version of Astropy to use ``astropy-helpers``. + +For examples of how to implement ``astropy-helpers`` in a project, +see the ``setup.py`` and ``setup.cfg`` files of the +`Affiliated package template `_. + +.. image:: https://travis-ci.org/astropy/astropy-helpers.svg + :target: https://travis-ci.org/astropy/astropy-helpers + +.. image:: https://coveralls.io/repos/astropy/astropy-helpers/badge.svg + :target: https://coveralls.io/r/astropy/astropy-helpers diff --git a/astropy_helpers/ah_bootstrap.py b/astropy_helpers/ah_bootstrap.py new file mode 100644 index 00000000..786b8b14 --- /dev/null +++ b/astropy_helpers/ah_bootstrap.py @@ -0,0 +1,958 @@ +""" +This bootstrap module contains code for ensuring that the astropy_helpers +package will be importable by the time the setup.py script runs. It also +includes some workarounds to ensure that a recent-enough version of setuptools +is being used for the installation. + +This module should be the first thing imported in the setup.py of distributions +that make use of the utilities in astropy_helpers. If the distribution ships +with its own copy of astropy_helpers, this module will first attempt to import +from the shipped copy. However, it will also check PyPI to see if there are +any bug-fix releases on top of the current version that may be useful to get +past platform-specific bugs that have been fixed. When running setup.py, use +the ``--offline`` command-line option to disable the auto-upgrade checks. + +When this module is imported or otherwise executed it automatically calls a +main function that attempts to read the project's setup.cfg file, which it +checks for a configuration section called ``[ah_bootstrap]`` the presences of +that section, and options therein, determine the next step taken: If it +contains an option called ``auto_use`` with a value of ``True``, it will +automatically call the main function of this module called +`use_astropy_helpers` (see that function's docstring for full details). +Otherwise no further action is taken (however, +``ah_bootstrap.use_astropy_helpers`` may be called manually from within the +setup.py script). + +Additional options in the ``[ah_boostrap]`` section of setup.cfg have the same +names as the arguments to `use_astropy_helpers`, and can be used to configure +the bootstrap script when ``auto_use = True``. + +See https://github.com/astropy/astropy-helpers for more details, and for the +latest version of this module. +""" + +import contextlib +import errno +import imp +import io +import locale +import os +import re +import subprocess as sp +import sys + +try: + from ConfigParser import ConfigParser, RawConfigParser +except ImportError: + from configparser import ConfigParser, RawConfigParser + + +if sys.version_info[0] < 3: + _str_types = (str, unicode) + _text_type = unicode + PY3 = False +else: + _str_types = (str, bytes) + _text_type = str + PY3 = True + + +# What follows are several import statements meant to deal with install-time +# issues with either missing or misbehaving pacakges (including making sure +# setuptools itself is installed): + + +# Some pre-setuptools checks to ensure that either distribute or setuptools >= +# 0.7 is used (over pre-distribute setuptools) if it is available on the path; +# otherwise the latest setuptools will be downloaded and bootstrapped with +# ``ez_setup.py``. This used to be included in a separate file called +# setuptools_bootstrap.py; but it was combined into ah_bootstrap.py +try: + import pkg_resources + _setuptools_req = pkg_resources.Requirement.parse('setuptools>=0.7') + # This may raise a DistributionNotFound in which case no version of + # setuptools or distribute is properly installed + _setuptools = pkg_resources.get_distribution('setuptools') + if _setuptools not in _setuptools_req: + # Older version of setuptools; check if we have distribute; again if + # this results in DistributionNotFound we want to give up + _distribute = pkg_resources.get_distribution('distribute') + if _setuptools != _distribute: + # It's possible on some pathological systems to have an old version + # of setuptools and distribute on sys.path simultaneously; make + # sure distribute is the one that's used + sys.path.insert(1, _distribute.location) + _distribute.activate() + imp.reload(pkg_resources) +except: + # There are several types of exceptions that can occur here; if all else + # fails bootstrap and use the bootstrapped version + from ez_setup import use_setuptools + use_setuptools() + + +# typing as a dependency for 1.6.1+ Sphinx causes issues when imported after +# initializing submodule with ah_boostrap.py +# See discussion and references in +# https://github.com/astropy/astropy-helpers/issues/302 + +try: + import typing # noqa +except ImportError: + pass + + +# Note: The following import is required as a workaround to +# https://github.com/astropy/astropy-helpers/issues/89; if we don't import this +# module now, it will get cleaned up after `run_setup` is called, but that will +# later cause the TemporaryDirectory class defined in it to stop working when +# used later on by setuptools +try: + import setuptools.py31compat # noqa +except ImportError: + pass + + +# matplotlib can cause problems if it is imported from within a call of +# run_setup(), because in some circumstances it will try to write to the user's +# home directory, resulting in a SandboxViolation. See +# https://github.com/matplotlib/matplotlib/pull/4165 +# Making sure matplotlib, if it is available, is imported early in the setup +# process can mitigate this (note importing matplotlib.pyplot has the same +# issue) +try: + import matplotlib + matplotlib.use('Agg') + import matplotlib.pyplot +except: + # Ignore if this fails for *any* reason* + pass + + +# End compatibility imports... + + +# In case it didn't successfully import before the ez_setup checks +import pkg_resources + +from setuptools import Distribution +from setuptools.package_index import PackageIndex +from setuptools.sandbox import run_setup + +from distutils import log +from distutils.debug import DEBUG + + +# TODO: Maybe enable checking for a specific version of astropy_helpers? +DIST_NAME = 'astropy-helpers' +PACKAGE_NAME = 'astropy_helpers' + +# Defaults for other options +DOWNLOAD_IF_NEEDED = True +INDEX_URL = 'https://pypi.python.org/simple' +USE_GIT = True +OFFLINE = False +AUTO_UPGRADE = True + +# A list of all the configuration options and their required types +CFG_OPTIONS = [ + ('auto_use', bool), ('path', str), ('download_if_needed', bool), + ('index_url', str), ('use_git', bool), ('offline', bool), + ('auto_upgrade', bool) +] + + +class _Bootstrapper(object): + """ + Bootstrapper implementation. See ``use_astropy_helpers`` for parameter + documentation. + """ + + def __init__(self, path=None, index_url=None, use_git=None, offline=None, + download_if_needed=None, auto_upgrade=None): + + if path is None: + path = PACKAGE_NAME + + if not (isinstance(path, _str_types) or path is False): + raise TypeError('path must be a string or False') + + if PY3 and not isinstance(path, _text_type): + fs_encoding = sys.getfilesystemencoding() + path = path.decode(fs_encoding) # path to unicode + + self.path = path + + # Set other option attributes, using defaults where necessary + self.index_url = index_url if index_url is not None else INDEX_URL + self.offline = offline if offline is not None else OFFLINE + + # If offline=True, override download and auto-upgrade + if self.offline: + download_if_needed = False + auto_upgrade = False + + self.download = (download_if_needed + if download_if_needed is not None + else DOWNLOAD_IF_NEEDED) + self.auto_upgrade = (auto_upgrade + if auto_upgrade is not None else AUTO_UPGRADE) + + # If this is a release then the .git directory will not exist so we + # should not use git. + git_dir_exists = os.path.exists(os.path.join(os.path.dirname(__file__), '.git')) + if use_git is None and not git_dir_exists: + use_git = False + + self.use_git = use_git if use_git is not None else USE_GIT + # Declared as False by default--later we check if astropy-helpers can be + # upgraded from PyPI, but only if not using a source distribution (as in + # the case of import from a git submodule) + self.is_submodule = False + + @classmethod + def main(cls, argv=None): + if argv is None: + argv = sys.argv + + config = cls.parse_config() + config.update(cls.parse_command_line(argv)) + + auto_use = config.pop('auto_use', False) + bootstrapper = cls(**config) + + if auto_use: + # Run the bootstrapper, otherwise the setup.py is using the old + # use_astropy_helpers() interface, in which case it will run the + # bootstrapper manually after reconfiguring it. + bootstrapper.run() + + return bootstrapper + + @classmethod + def parse_config(cls): + if not os.path.exists('setup.cfg'): + return {} + + cfg = ConfigParser() + + try: + cfg.read('setup.cfg') + except Exception as e: + if DEBUG: + raise + + log.error( + "Error reading setup.cfg: {0!r}\n{1} will not be " + "automatically bootstrapped and package installation may fail." + "\n{2}".format(e, PACKAGE_NAME, _err_help_msg)) + return {} + + if not cfg.has_section('ah_bootstrap'): + return {} + + config = {} + + for option, type_ in CFG_OPTIONS: + if not cfg.has_option('ah_bootstrap', option): + continue + + if type_ is bool: + value = cfg.getboolean('ah_bootstrap', option) + else: + value = cfg.get('ah_bootstrap', option) + + config[option] = value + + return config + + @classmethod + def parse_command_line(cls, argv=None): + if argv is None: + argv = sys.argv + + config = {} + + # For now we just pop recognized ah_bootstrap options out of the + # arg list. This is imperfect; in the unlikely case that a setup.py + # custom command or even custom Distribution class defines an argument + # of the same name then we will break that. However there's a catch22 + # here that we can't just do full argument parsing right here, because + # we don't yet know *how* to parse all possible command-line arguments. + if '--no-git' in argv: + config['use_git'] = False + argv.remove('--no-git') + + if '--offline' in argv: + config['offline'] = True + argv.remove('--offline') + + return config + + def run(self): + strategies = ['local_directory', 'local_file', 'index'] + dist = None + + # First, remove any previously imported versions of astropy_helpers; + # this is necessary for nested installs where one package's installer + # is installing another package via setuptools.sandbox.run_setup, as in + # the case of setup_requires + for key in list(sys.modules): + try: + if key == PACKAGE_NAME or key.startswith(PACKAGE_NAME + '.'): + del sys.modules[key] + except AttributeError: + # Sometimes mysterious non-string things can turn up in + # sys.modules + continue + + # Check to see if the path is a submodule + self.is_submodule = self._check_submodule() + + for strategy in strategies: + method = getattr(self, 'get_{0}_dist'.format(strategy)) + dist = method() + if dist is not None: + break + else: + raise _AHBootstrapSystemExit( + "No source found for the {0!r} package; {0} must be " + "available and importable as a prerequisite to building " + "or installing this package.".format(PACKAGE_NAME)) + + # This is a bit hacky, but if astropy_helpers was loaded from a + # directory/submodule its Distribution object gets a "precedence" of + # "DEVELOP_DIST". However, in other cases it gets a precedence of + # "EGG_DIST". However, when activing the distribution it will only be + # placed early on sys.path if it is treated as an EGG_DIST, so always + # do that + dist = dist.clone(precedence=pkg_resources.EGG_DIST) + + # Otherwise we found a version of astropy-helpers, so we're done + # Just active the found distribution on sys.path--if we did a + # download this usually happens automatically but it doesn't hurt to + # do it again + # Note: Adding the dist to the global working set also activates it + # (makes it importable on sys.path) by default. + + try: + pkg_resources.working_set.add(dist, replace=True) + except TypeError: + # Some (much) older versions of setuptools do not have the + # replace=True option here. These versions are old enough that all + # bets may be off anyways, but it's easy enough to work around just + # in case... + if dist.key in pkg_resources.working_set.by_key: + del pkg_resources.working_set.by_key[dist.key] + pkg_resources.working_set.add(dist) + + @property + def config(self): + """ + A `dict` containing the options this `_Bootstrapper` was configured + with. + """ + + return dict((optname, getattr(self, optname)) + for optname, _ in CFG_OPTIONS if hasattr(self, optname)) + + def get_local_directory_dist(self): + """ + Handle importing a vendored package from a subdirectory of the source + distribution. + """ + + if not os.path.isdir(self.path): + return + + log.info('Attempting to import astropy_helpers from {0} {1!r}'.format( + 'submodule' if self.is_submodule else 'directory', + self.path)) + + dist = self._directory_import() + + if dist is None: + log.warn( + 'The requested path {0!r} for importing {1} does not ' + 'exist, or does not contain a copy of the {1} ' + 'package.'.format(self.path, PACKAGE_NAME)) + elif self.auto_upgrade and not self.is_submodule: + # A version of astropy-helpers was found on the available path, but + # check to see if a bugfix release is available on PyPI + upgrade = self._do_upgrade(dist) + if upgrade is not None: + dist = upgrade + + return dist + + def get_local_file_dist(self): + """ + Handle importing from a source archive; this also uses setup_requires + but points easy_install directly to the source archive. + """ + + if not os.path.isfile(self.path): + return + + log.info('Attempting to unpack and import astropy_helpers from ' + '{0!r}'.format(self.path)) + + try: + dist = self._do_download(find_links=[self.path]) + except Exception as e: + if DEBUG: + raise + + log.warn( + 'Failed to import {0} from the specified archive {1!r}: ' + '{2}'.format(PACKAGE_NAME, self.path, str(e))) + dist = None + + if dist is not None and self.auto_upgrade: + # A version of astropy-helpers was found on the available path, but + # check to see if a bugfix release is available on PyPI + upgrade = self._do_upgrade(dist) + if upgrade is not None: + dist = upgrade + + return dist + + def get_index_dist(self): + if not self.download: + log.warn('Downloading {0!r} disabled.'.format(DIST_NAME)) + return None + + log.warn( + "Downloading {0!r}; run setup.py with the --offline option to " + "force offline installation.".format(DIST_NAME)) + + try: + dist = self._do_download() + except Exception as e: + if DEBUG: + raise + log.warn( + 'Failed to download and/or install {0!r} from {1!r}:\n' + '{2}'.format(DIST_NAME, self.index_url, str(e))) + dist = None + + # No need to run auto-upgrade here since we've already presumably + # gotten the most up-to-date version from the package index + return dist + + def _directory_import(self): + """ + Import astropy_helpers from the given path, which will be added to + sys.path. + + Must return True if the import succeeded, and False otherwise. + """ + + # Return True on success, False on failure but download is allowed, and + # otherwise raise SystemExit + path = os.path.abspath(self.path) + + # Use an empty WorkingSet rather than the man + # pkg_resources.working_set, since on older versions of setuptools this + # will invoke a VersionConflict when trying to install an upgrade + ws = pkg_resources.WorkingSet([]) + ws.add_entry(path) + dist = ws.by_key.get(DIST_NAME) + + if dist is None: + # We didn't find an egg-info/dist-info in the given path, but if a + # setup.py exists we can generate it + setup_py = os.path.join(path, 'setup.py') + if os.path.isfile(setup_py): + with _silence(): + run_setup(os.path.join(path, 'setup.py'), + ['egg_info']) + + for dist in pkg_resources.find_distributions(path, True): + # There should be only one... + return dist + + return dist + + def _do_download(self, version='', find_links=None): + if find_links: + allow_hosts = '' + index_url = None + else: + allow_hosts = None + index_url = self.index_url + + # Annoyingly, setuptools will not handle other arguments to + # Distribution (such as options) before handling setup_requires, so it + # is not straightforward to programmatically augment the arguments which + # are passed to easy_install + class _Distribution(Distribution): + def get_option_dict(self, command_name): + opts = Distribution.get_option_dict(self, command_name) + if command_name == 'easy_install': + if find_links is not None: + opts['find_links'] = ('setup script', find_links) + if index_url is not None: + opts['index_url'] = ('setup script', index_url) + if allow_hosts is not None: + opts['allow_hosts'] = ('setup script', allow_hosts) + return opts + + if version: + req = '{0}=={1}'.format(DIST_NAME, version) + else: + req = DIST_NAME + + attrs = {'setup_requires': [req]} + + try: + if DEBUG: + _Distribution(attrs=attrs) + else: + with _silence(): + _Distribution(attrs=attrs) + + # If the setup_requires succeeded it will have added the new dist to + # the main working_set + return pkg_resources.working_set.by_key.get(DIST_NAME) + except Exception as e: + if DEBUG: + raise + + msg = 'Error retrieving {0} from {1}:\n{2}' + if find_links: + source = find_links[0] + elif index_url != INDEX_URL: + source = index_url + else: + source = 'PyPI' + + raise Exception(msg.format(DIST_NAME, source, repr(e))) + + def _do_upgrade(self, dist): + # Build up a requirement for a higher bugfix release but a lower minor + # release (so API compatibility is guaranteed) + next_version = _next_version(dist.parsed_version) + + req = pkg_resources.Requirement.parse( + '{0}>{1},<{2}'.format(DIST_NAME, dist.version, next_version)) + + package_index = PackageIndex(index_url=self.index_url) + + upgrade = package_index.obtain(req) + + if upgrade is not None: + return self._do_download(version=upgrade.version) + + def _check_submodule(self): + """ + Check if the given path is a git submodule. + + See the docstrings for ``_check_submodule_using_git`` and + ``_check_submodule_no_git`` for further details. + """ + + if (self.path is None or + (os.path.exists(self.path) and not os.path.isdir(self.path))): + return False + + if self.use_git: + return self._check_submodule_using_git() + else: + return self._check_submodule_no_git() + + def _check_submodule_using_git(self): + """ + Check if the given path is a git submodule. If so, attempt to initialize + and/or update the submodule if needed. + + This function makes calls to the ``git`` command in subprocesses. The + ``_check_submodule_no_git`` option uses pure Python to check if the given + path looks like a git submodule, but it cannot perform updates. + """ + + cmd = ['git', 'submodule', 'status', '--', self.path] + + try: + log.info('Running `{0}`; use the --no-git option to disable git ' + 'commands'.format(' '.join(cmd))) + returncode, stdout, stderr = run_cmd(cmd) + except _CommandNotFound: + # The git command simply wasn't found; this is most likely the + # case on user systems that don't have git and are simply + # trying to install the package from PyPI or a source + # distribution. Silently ignore this case and simply don't try + # to use submodules + return False + + stderr = stderr.strip() + + if returncode != 0 and stderr: + # Unfortunately the return code alone cannot be relied on, as + # earlier versions of git returned 0 even if the requested submodule + # does not exist + + # This is a warning that occurs in perl (from running git submodule) + # which only occurs with a malformatted locale setting which can + # happen sometimes on OSX. See again + # https://github.com/astropy/astropy/issues/2749 + perl_warning = ('perl: warning: Falling back to the standard locale ' + '("C").') + if not stderr.strip().endswith(perl_warning): + # Some other unknown error condition occurred + log.warn('git submodule command failed ' + 'unexpectedly:\n{0}'.format(stderr)) + return False + + # Output of `git submodule status` is as follows: + # + # 1: Status indicator: '-' for submodule is uninitialized, '+' if + # submodule is initialized but is not at the commit currently indicated + # in .gitmodules (and thus needs to be updated), or 'U' if the + # submodule is in an unstable state (i.e. has merge conflicts) + # + # 2. SHA-1 hash of the current commit of the submodule (we don't really + # need this information but it's useful for checking that the output is + # correct) + # + # 3. The output of `git describe` for the submodule's current commit + # hash (this includes for example what branches the commit is on) but + # only if the submodule is initialized. We ignore this information for + # now + _git_submodule_status_re = re.compile( + '^(?P[+-U ])(?P[0-9a-f]{40}) ' + '(?P\S+)( .*)?$') + + # The stdout should only contain one line--the status of the + # requested submodule + m = _git_submodule_status_re.match(stdout) + if m: + # Yes, the path *is* a git submodule + self._update_submodule(m.group('submodule'), m.group('status')) + return True + else: + log.warn( + 'Unexpected output from `git submodule status`:\n{0}\n' + 'Will attempt import from {1!r} regardless.'.format( + stdout, self.path)) + return False + + def _check_submodule_no_git(self): + """ + Like ``_check_submodule_using_git``, but simply parses the .gitmodules file + to determine if the supplied path is a git submodule, and does not exec any + subprocesses. + + This can only determine if a path is a submodule--it does not perform + updates, etc. This function may need to be updated if the format of the + .gitmodules file is changed between git versions. + """ + + gitmodules_path = os.path.abspath('.gitmodules') + + if not os.path.isfile(gitmodules_path): + return False + + # This is a minimal reader for gitconfig-style files. It handles a few of + # the quirks that make gitconfig files incompatible with ConfigParser-style + # files, but does not support the full gitconfig syntax (just enough + # needed to read a .gitmodules file). + gitmodules_fileobj = io.StringIO() + + # Must use io.open for cross-Python-compatible behavior wrt unicode + with io.open(gitmodules_path) as f: + for line in f: + # gitconfig files are more flexible with leading whitespace; just + # go ahead and remove it + line = line.lstrip() + + # comments can start with either # or ; + if line and line[0] in (':', ';'): + continue + + gitmodules_fileobj.write(line) + + gitmodules_fileobj.seek(0) + + cfg = RawConfigParser() + + try: + cfg.readfp(gitmodules_fileobj) + except Exception as exc: + log.warn('Malformatted .gitmodules file: {0}\n' + '{1} cannot be assumed to be a git submodule.'.format( + exc, self.path)) + return False + + for section in cfg.sections(): + if not cfg.has_option(section, 'path'): + continue + + submodule_path = cfg.get(section, 'path').rstrip(os.sep) + + if submodule_path == self.path.rstrip(os.sep): + return True + + return False + + def _update_submodule(self, submodule, status): + if status == ' ': + # The submodule is up to date; no action necessary + return + elif status == '-': + if self.offline: + raise _AHBootstrapSystemExit( + "Cannot initialize the {0} submodule in --offline mode; " + "this requires being able to clone the submodule from an " + "online repository.".format(submodule)) + cmd = ['update', '--init'] + action = 'Initializing' + elif status == '+': + cmd = ['update'] + action = 'Updating' + if self.offline: + cmd.append('--no-fetch') + elif status == 'U': + raise _AHBootstrapSystemExit( + 'Error: Submodule {0} contains unresolved merge conflicts. ' + 'Please complete or abandon any changes in the submodule so that ' + 'it is in a usable state, then try again.'.format(submodule)) + else: + log.warn('Unknown status {0!r} for git submodule {1!r}. Will ' + 'attempt to use the submodule as-is, but try to ensure ' + 'that the submodule is in a clean state and contains no ' + 'conflicts or errors.\n{2}'.format(status, submodule, + _err_help_msg)) + return + + err_msg = None + cmd = ['git', 'submodule'] + cmd + ['--', submodule] + log.warn('{0} {1} submodule with: `{2}`'.format( + action, submodule, ' '.join(cmd))) + + try: + log.info('Running `{0}`; use the --no-git option to disable git ' + 'commands'.format(' '.join(cmd))) + returncode, stdout, stderr = run_cmd(cmd) + except OSError as e: + err_msg = str(e) + else: + if returncode != 0: + err_msg = stderr + + if err_msg is not None: + log.warn('An unexpected error occurred updating the git submodule ' + '{0!r}:\n{1}\n{2}'.format(submodule, err_msg, + _err_help_msg)) + +class _CommandNotFound(OSError): + """ + An exception raised when a command run with run_cmd is not found on the + system. + """ + + +def run_cmd(cmd): + """ + Run a command in a subprocess, given as a list of command-line + arguments. + + Returns a ``(returncode, stdout, stderr)`` tuple. + """ + + try: + p = sp.Popen(cmd, stdout=sp.PIPE, stderr=sp.PIPE) + # XXX: May block if either stdout or stderr fill their buffers; + # however for the commands this is currently used for that is + # unlikely (they should have very brief output) + stdout, stderr = p.communicate() + except OSError as e: + if DEBUG: + raise + + if e.errno == errno.ENOENT: + msg = 'Command not found: `{0}`'.format(' '.join(cmd)) + raise _CommandNotFound(msg, cmd) + else: + raise _AHBootstrapSystemExit( + 'An unexpected error occurred when running the ' + '`{0}` command:\n{1}'.format(' '.join(cmd), str(e))) + + + # Can fail of the default locale is not configured properly. See + # https://github.com/astropy/astropy/issues/2749. For the purposes under + # consideration 'latin1' is an acceptable fallback. + try: + stdio_encoding = locale.getdefaultlocale()[1] or 'latin1' + except ValueError: + # Due to an OSX oddity locale.getdefaultlocale() can also crash + # depending on the user's locale/language settings. See: + # http://bugs.python.org/issue18378 + stdio_encoding = 'latin1' + + # Unlikely to fail at this point but even then let's be flexible + if not isinstance(stdout, _text_type): + stdout = stdout.decode(stdio_encoding, 'replace') + if not isinstance(stderr, _text_type): + stderr = stderr.decode(stdio_encoding, 'replace') + + return (p.returncode, stdout, stderr) + + +def _next_version(version): + """ + Given a parsed version from pkg_resources.parse_version, returns a new + version string with the next minor version. + + Examples + ======== + >>> _next_version(pkg_resources.parse_version('1.2.3')) + '1.3.0' + """ + + if hasattr(version, 'base_version'): + # New version parsing from setuptools >= 8.0 + if version.base_version: + parts = version.base_version.split('.') + else: + parts = [] + else: + parts = [] + for part in version: + if part.startswith('*'): + break + parts.append(part) + + parts = [int(p) for p in parts] + + if len(parts) < 3: + parts += [0] * (3 - len(parts)) + + major, minor, micro = parts[:3] + + return '{0}.{1}.{2}'.format(major, minor + 1, 0) + + +class _DummyFile(object): + """A noop writeable object.""" + + errors = '' # Required for Python 3.x + encoding = 'utf-8' + + def write(self, s): + pass + + def flush(self): + pass + + +@contextlib.contextmanager +def _silence(): + """A context manager that silences sys.stdout and sys.stderr.""" + + old_stdout = sys.stdout + old_stderr = sys.stderr + sys.stdout = _DummyFile() + sys.stderr = _DummyFile() + exception_occurred = False + try: + yield + except: + exception_occurred = True + # Go ahead and clean up so that exception handling can work normally + sys.stdout = old_stdout + sys.stderr = old_stderr + raise + + if not exception_occurred: + sys.stdout = old_stdout + sys.stderr = old_stderr + + +_err_help_msg = """ +If the problem persists consider installing astropy_helpers manually using pip +(`pip install astropy_helpers`) or by manually downloading the source archive, +extracting it, and installing by running `python setup.py install` from the +root of the extracted source code. +""" + + +class _AHBootstrapSystemExit(SystemExit): + def __init__(self, *args): + if not args: + msg = 'An unknown problem occurred bootstrapping astropy_helpers.' + else: + msg = args[0] + + msg += '\n' + _err_help_msg + + super(_AHBootstrapSystemExit, self).__init__(msg, *args[1:]) + + +BOOTSTRAPPER = _Bootstrapper.main() + + +def use_astropy_helpers(**kwargs): + """ + Ensure that the `astropy_helpers` module is available and is importable. + This supports automatic submodule initialization if astropy_helpers is + included in a project as a git submodule, or will download it from PyPI if + necessary. + + Parameters + ---------- + + path : str or None, optional + A filesystem path relative to the root of the project's source code + that should be added to `sys.path` so that `astropy_helpers` can be + imported from that path. + + If the path is a git submodule it will automatically be initialized + and/or updated. + + The path may also be to a ``.tar.gz`` archive of the astropy_helpers + source distribution. In this case the archive is automatically + unpacked and made temporarily available on `sys.path` as a ``.egg`` + archive. + + If `None` skip straight to downloading. + + download_if_needed : bool, optional + If the provided filesystem path is not found an attempt will be made to + download astropy_helpers from PyPI. It will then be made temporarily + available on `sys.path` as a ``.egg`` archive (using the + ``setup_requires`` feature of setuptools. If the ``--offline`` option + is given at the command line the value of this argument is overridden + to `False`. + + index_url : str, optional + If provided, use a different URL for the Python package index than the + main PyPI server. + + use_git : bool, optional + If `False` no git commands will be used--this effectively disables + support for git submodules. If the ``--no-git`` option is given at the + command line the value of this argument is overridden to `False`. + + auto_upgrade : bool, optional + By default, when installing a package from a non-development source + distribution ah_boostrap will try to automatically check for patch + releases to astropy-helpers on PyPI and use the patched version over + any bundled versions. Setting this to `False` will disable that + functionality. If the ``--offline`` option is given at the command line + the value of this argument is overridden to `False`. + + offline : bool, optional + If `False` disable all actions that require an internet connection, + including downloading packages from the package index and fetching + updates to any git submodule. Defaults to `True`. + """ + + global BOOTSTRAPPER + + config = BOOTSTRAPPER.config + config.update(**kwargs) + + # Create a new bootstrapper with the updated configuration and run it + BOOTSTRAPPER = _Bootstrapper(**config) + BOOTSTRAPPER.run() diff --git a/astropy_helpers/appveyor.yml b/astropy_helpers/appveyor.yml new file mode 100644 index 00000000..c5474ee8 --- /dev/null +++ b/astropy_helpers/appveyor.yml @@ -0,0 +1,44 @@ +# AppVeyor.com is a Continuous Integration service to build and run tests under +# Windows + +environment: + + global: + PYTHON: "C:\\conda" + MINICONDA_VERSION: "latest" + CMD_IN_ENV: "cmd /E:ON /V:ON /C .\\ci-helpers\\appveyor\\windows_sdk.cmd" + PYTHON_ARCH: "64" # needs to be set for CMD_IN_ENV to succeed. If a mix + # of 32 bit and 64 bit builds are needed, move this + # to the matrix section. + + # babel 2.0 is known to break on Windows: + # https://github.com/python-babel/babel/issues/174 + CONDA_DEPENDENCIES: "numpy Cython sphinx pytest babel!=2.0" + + matrix: + - PYTHON_VERSION: "2.7" + - PYTHON_VERSION: "3.4" + - PYTHON_VERSION: "3.5" + - PYTHON_VERSION: "3.6" + +platform: + -x64 + +install: + + # Set up ci-helpers + - "git clone git://github.com/astropy/ci-helpers.git" + - "powershell ci-helpers/appveyor/install-miniconda.ps1" + - "SET PATH=%PYTHON%;%PYTHON%\\Scripts;%PATH%" + - "activate test" + + # Some of the tests use git commands that require a user to be configured + - git config --global user.name "A U Thor" + - git config --global user.email "author@example.com" + +# Not a .NET project, we build the package in the install step instead +build: false + +test_script: + - "%CMD_IN_ENV% py.test astropy_helpers" + diff --git a/astropy_helpers/astropy_helpers/__init__.py b/astropy_helpers/astropy_helpers/__init__.py new file mode 100644 index 00000000..5437deb4 --- /dev/null +++ b/astropy_helpers/astropy_helpers/__init__.py @@ -0,0 +1,52 @@ +try: + from .version import version as __version__ + from .version import githash as __githash__ +except ImportError: + __version__ = '' + __githash__ = '' + + +# If we've made it as far as importing astropy_helpers, we don't need +# ah_bootstrap in sys.modules anymore. Getting rid of it is actually necessary +# if the package we're installing has a setup_requires of another package that +# uses astropy_helpers (and possibly a different version at that) +# See https://github.com/astropy/astropy/issues/3541 +import sys +if 'ah_bootstrap' in sys.modules: + del sys.modules['ah_bootstrap'] + + +# Note, this is repeated from ah_bootstrap.py, but is here too in case this +# astropy-helpers was upgraded to from an older version that did not have this +# check in its ah_bootstrap. +# matplotlib can cause problems if it is imported from within a call of +# run_setup(), because in some circumstances it will try to write to the user's +# home directory, resulting in a SandboxViolation. See +# https://github.com/matplotlib/matplotlib/pull/4165 +# Making sure matplotlib, if it is available, is imported early in the setup +# process can mitigate this (note importing matplotlib.pyplot has the same +# issue) +try: + import matplotlib + matplotlib.use('Agg') + import matplotlib.pyplot +except: + # Ignore if this fails for *any* reason* + pass + + +import os +# Ensure that all module-level code in astropy or other packages know that +# we're in setup mode: +if ('__main__' in sys.modules and + hasattr(sys.modules['__main__'], '__file__')): + filename = os.path.basename(sys.modules['__main__'].__file__) + + if filename.rstrip('co') == 'setup.py': + if sys.version_info[0] >= 3: + import builtins + else: + import __builtin__ as builtins + builtins._ASTROPY_SETUP_ = True + + del filename diff --git a/astropy_helpers/astropy_helpers/commands/__init__.py b/astropy_helpers/astropy_helpers/commands/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/astropy_helpers/astropy_helpers/commands/_dummy.py b/astropy_helpers/astropy_helpers/commands/_dummy.py new file mode 100644 index 00000000..3764b704 --- /dev/null +++ b/astropy_helpers/astropy_helpers/commands/_dummy.py @@ -0,0 +1,81 @@ +""" +Provides a base class for a 'dummy' setup.py command that has no functionality +(probably due to a missing requirement). This dummy command can raise an +exception when it is run, explaining to the user what dependencies must be met +to use this command. + +The reason this is at all tricky is that we want the command to be able to +provide this message even when the user passes arguments to the command. If we +don't know ahead of time what arguments the command can take, this is +difficult, because distutils does not allow unknown arguments to be passed to a +setup.py command. This hacks around that restriction to provide a useful error +message even when a user passes arguments to the dummy implementation of a +command. + +Use this like: + + try: + from some_dependency import SetupCommand + except ImportError: + from ._dummy import _DummyCommand + + class SetupCommand(_DummyCommand): + description = \ + 'Implementation of SetupCommand from some_dependency; ' + 'some_dependency must be installed to run this command' + + # This is the message that will be raised when a user tries to + # run this command--define it as a class attribute. + error_msg = \ + "The 'setup_command' command requires the some_dependency " + "package to be installed and importable." +""" + +import sys +from setuptools import Command +from distutils.errors import DistutilsArgError +from textwrap import dedent + + +class _DummyCommandMeta(type): + """ + Causes an exception to be raised on accessing attributes of a command class + so that if ``./setup.py command_name`` is run with additional command-line + options we can provide a useful error message instead of the default that + tells users the options are unrecognized. + """ + + def __init__(cls, name, bases, members): + if bases == (Command, object): + # This is the _DummyCommand base class, presumably + return + + if not hasattr(cls, 'description'): + raise TypeError( + "_DummyCommand subclass must have a 'description' " + "attribute.") + + if not hasattr(cls, 'error_msg'): + raise TypeError( + "_DummyCommand subclass must have an 'error_msg' " + "attribute.") + + def __getattribute__(cls, attr): + if attr in ('description', 'error_msg'): + # Allow cls.description to work so that `./setup.py + # --help-commands` still works + return super(_DummyCommandMeta, cls).__getattribute__(attr) + + raise DistutilsArgError(cls.error_msg) + + +if sys.version_info[0] < 3: + exec(dedent(""" + class _DummyCommand(Command, object): + __metaclass__ = _DummyCommandMeta + """)) +else: + exec(dedent(""" + class _DummyCommand(Command, object, metaclass=_DummyCommandMeta): + pass + """)) diff --git a/astropy_helpers/astropy_helpers/commands/build_ext.py b/astropy_helpers/astropy_helpers/commands/build_ext.py new file mode 100644 index 00000000..f8f38f54 --- /dev/null +++ b/astropy_helpers/astropy_helpers/commands/build_ext.py @@ -0,0 +1,474 @@ +import errno +import os +import re +import shlex +import shutil +import subprocess +import sys +import textwrap + +from distutils import log, ccompiler, sysconfig +from distutils.core import Extension +from distutils.ccompiler import get_default_compiler +from setuptools.command.build_ext import build_ext as SetuptoolsBuildExt + +from ..utils import get_numpy_include_path, invalidate_caches, classproperty +from ..version_helpers import get_pkg_version_module + + +def should_build_with_cython(package, release=None): + """Returns the previously used Cython version (or 'unknown' if not + previously built) if Cython should be used to build extension modules from + pyx files. If the ``release`` parameter is not specified an attempt is + made to determine the release flag from `astropy.version`. + """ + + try: + version_module = __import__(package + '.cython_version', + fromlist=['release', 'cython_version']) + except ImportError: + version_module = None + + if release is None and version_module is not None: + try: + release = version_module.release + except AttributeError: + pass + + try: + cython_version = version_module.cython_version + except AttributeError: + cython_version = 'unknown' + + # Only build with Cython if, of course, Cython is installed, we're in a + # development version (i.e. not release) or the Cython-generated source + # files haven't been created yet (cython_version == 'unknown'). The latter + # case can happen even when release is True if checking out a release tag + # from the repository + have_cython = False + try: + import Cython # noqa + have_cython = True + except ImportError: + pass + + if have_cython and (not release or cython_version == 'unknown'): + return cython_version + else: + return False + + +_compiler_versions = {} + + +def get_compiler_version(compiler): + if compiler in _compiler_versions: + return _compiler_versions[compiler] + + # Different flags to try to get the compiler version + # TODO: It might be worth making this configurable to support + # arbitrary odd compilers; though all bets may be off in such + # cases anyway + flags = ['--version', '--Version', '-version', '-Version', + '-v', '-V'] + + def try_get_version(flag): + process = subprocess.Popen( + shlex.split(compiler, posix=('win' not in sys.platform)) + [flag], + stdout=subprocess.PIPE, stderr=subprocess.PIPE) + + stdout, stderr = process.communicate() + + if process.returncode != 0: + return 'unknown' + + output = stdout.strip().decode('latin-1') # Safest bet + if not output: + # Some compilers return their version info on stderr + output = stderr.strip().decode('latin-1') + + if not output: + output = 'unknown' + + return output + + for flag in flags: + version = try_get_version(flag) + if version != 'unknown': + break + + # Cache results to speed up future calls + _compiler_versions[compiler] = version + + return version + + +# TODO: I think this can be reworked without having to create the class +# programmatically. +def generate_build_ext_command(packagename, release): + """ + Creates a custom 'build_ext' command that allows for manipulating some of + the C extension options at build time. We use a function to build the + class since the base class for build_ext may be different depending on + certain build-time parameters (for example, we may use Cython's build_ext + instead of the default version in distutils). + + Uses the default distutils.command.build_ext by default. + """ + + class build_ext(SetuptoolsBuildExt, object): + package_name = packagename + is_release = release + _user_options = SetuptoolsBuildExt.user_options[:] + _boolean_options = SetuptoolsBuildExt.boolean_options[:] + _help_options = SetuptoolsBuildExt.help_options[:] + + force_rebuild = False + + _broken_compiler_mapping = [ + ('i686-apple-darwin[0-9]*-llvm-gcc-4.2', 'clang') + ] + + # Warning: Spaghetti code ahead. + # During setup.py, the setup_helpers module needs the ability to add + # items to a command's user_options list. At this stage we don't know + # whether or not we can build with Cython, and so don't know for sure + # what base class will be used for build_ext; nevertheless we want to + # be able to provide a list to add options into. + # + # Later, once setup() has been called we should have all build + # dependencies included via setup_requires available. distutils needs + # to be able to access the user_options as a *class* attribute before + # the class has been initialized, but we do need to be able to + # enumerate the options for the correct base class at that point + + @classproperty + def user_options(cls): + from distutils import core + + if core._setup_distribution is None: + # We haven't gotten into setup() yet, and the Distribution has + # not yet been initialized + return cls._user_options + + return cls._final_class.user_options + + @classproperty + def boolean_options(cls): + # Similar to user_options above + from distutils import core + + if core._setup_distribution is None: + # We haven't gotten into setup() yet, and the Distribution has + # not yet been initialized + return cls._boolean_options + + return cls._final_class.boolean_options + + @classproperty + def help_options(cls): + # Similar to user_options above + from distutils import core + + if core._setup_distribution is None: + # We haven't gotten into setup() yet, and the Distribution has + # not yet been initialized + return cls._help_options + + return cls._final_class.help_options + + @classproperty(lazy=True) + def _final_class(cls): + """ + Late determination of what the build_ext base class should be, + depending on whether or not Cython is available. + """ + + uses_cython = should_build_with_cython(cls.package_name, + cls.is_release) + + if uses_cython: + # We need to decide late on whether or not to use Cython's + # build_ext (since Cython may not be available earlier in the + # setup.py if it was brought in via setup_requires) + try: + from Cython.Distutils.old_build_ext import old_build_ext as base_cls + except ImportError: + from Cython.Distutils import build_ext as base_cls + else: + base_cls = SetuptoolsBuildExt + + # Create and return an instance of a new class based on this class + # using one of the above possible base classes + def merge_options(attr): + base = getattr(base_cls, attr) + ours = getattr(cls, '_' + attr) + + all_base = set(opt[0] for opt in base) + + return base + [opt for opt in ours if opt[0] not in all_base] + + boolean_options = (base_cls.boolean_options + + [opt for opt in cls._boolean_options + if opt not in base_cls.boolean_options]) + + members = dict(cls.__dict__) + members.update({ + 'user_options': merge_options('user_options'), + 'help_options': merge_options('help_options'), + 'boolean_options': boolean_options, + 'uses_cython': uses_cython, + }) + + # Update the base class for the original build_ext command + build_ext.__bases__ = (base_cls, object) + + # Create a new class for the existing class, but now with the + # appropriate base class depending on whether or not to use Cython. + # Ensure that object is one of the bases to make a new-style class. + return type(cls.__name__, (build_ext,), members) + + def __new__(cls, *args, **kwargs): + # By the time the command is actually instantialized, the + # Distribution instance for the build has been instantiated, which + # means setup_requires has been processed--now we can determine + # what base class we can use for the actual build, and return an + # instance of a build_ext command that uses that base class (right + # now the options being Cython.Distutils.build_ext, or the stock + # setuptools build_ext) + new_cls = super(build_ext, cls._final_class).__new__( + cls._final_class) + + # Since the new cls is not a subclass of the original cls, we must + # manually call its __init__ + new_cls.__init__(*args, **kwargs) + return new_cls + + def finalize_options(self): + # Add a copy of the _compiler.so module as well, but only if there + # are in fact C modules to compile (otherwise there's no reason to + # include a record of the compiler used) + # Note, self.extensions may not be set yet, but + # self.distribution.ext_modules is where any extension modules + # passed to setup() can be found + self._adjust_compiler() + + extensions = self.distribution.ext_modules + if extensions: + build_py = self.get_finalized_command('build_py') + package_dir = build_py.get_package_dir(packagename) + src_path = os.path.relpath( + os.path.join(os.path.dirname(__file__), 'src')) + shutil.copy(os.path.join(src_path, 'compiler.c'), + os.path.join(package_dir, '_compiler.c')) + ext = Extension(self.package_name + '._compiler', + [os.path.join(package_dir, '_compiler.c')]) + extensions.insert(0, ext) + + super(build_ext, self).finalize_options() + + # Generate + if self.uses_cython: + try: + from Cython import __version__ as cython_version + except ImportError: + # This shouldn't happen if we made it this far + cython_version = None + + if (cython_version is not None and + cython_version != self.uses_cython): + self.force_rebuild = True + # Update the used cython version + self.uses_cython = cython_version + + # Regardless of the value of the '--force' option, force a rebuild + # if the debug flag changed from the last build + if self.force_rebuild: + self.force = True + + def run(self): + # For extensions that require 'numpy' in their include dirs, + # replace 'numpy' with the actual paths + np_include = get_numpy_include_path() + for extension in self.extensions: + if 'numpy' in extension.include_dirs: + idx = extension.include_dirs.index('numpy') + extension.include_dirs.insert(idx, np_include) + extension.include_dirs.remove('numpy') + + self._check_cython_sources(extension) + + super(build_ext, self).run() + + # Update cython_version.py if building with Cython + try: + cython_version = get_pkg_version_module( + packagename, fromlist=['cython_version'])[0] + except (AttributeError, ImportError): + cython_version = 'unknown' + if self.uses_cython and self.uses_cython != cython_version: + build_py = self.get_finalized_command('build_py') + package_dir = build_py.get_package_dir(packagename) + cython_py = os.path.join(package_dir, 'cython_version.py') + with open(cython_py, 'w') as f: + f.write('# Generated file; do not modify\n') + f.write('cython_version = {0!r}\n'.format(self.uses_cython)) + + if os.path.isdir(self.build_lib): + # The build/lib directory may not exist if the build_py + # command was not previously run, which may sometimes be + # the case + self.copy_file(cython_py, + os.path.join(self.build_lib, cython_py), + preserve_mode=False) + + invalidate_caches() + + def _adjust_compiler(self): + """ + This function detects broken compilers and switches to another. If + the environment variable CC is explicitly set, or a compiler is + specified on the commandline, no override is performed -- the + purpose here is to only override a default compiler. + + The specific compilers with problems are: + + * The default compiler in XCode-4.2, llvm-gcc-4.2, + segfaults when compiling wcslib. + + The set of broken compilers can be updated by changing the + compiler_mapping variable. It is a list of 2-tuples where the + first in the pair is a regular expression matching the version of + the broken compiler, and the second is the compiler to change to. + """ + if 'CC' in os.environ: + # Check that CC is not set to llvm-gcc-4.2 + c_compiler = os.environ['CC'] + + try: + version = get_compiler_version(c_compiler) + except OSError: + msg = textwrap.dedent( + """ + The C compiler set by the CC environment variable: + + {compiler:s} + + cannot be found or executed. + """.format(compiler=c_compiler)) + log.warn(msg) + sys.exit(1) + + for broken, fixed in self._broken_compiler_mapping: + if re.match(broken, version): + msg = textwrap.dedent( + """Compiler specified by CC environment variable + ({compiler:s}:{version:s}) will fail to compile + {pkg:s}. + + Please set CC={fixed:s} and try again. + You can do this, for example, by running: + + CC={fixed:s} python setup.py + + where is the command you ran. + """.format(compiler=c_compiler, version=version, + pkg=self.package_name, fixed=fixed)) + log.warn(msg) + sys.exit(1) + + # If C compiler is set via CC, and isn't broken, we are good to go. We + # should definitely not try accessing the compiler specified by + # ``sysconfig.get_config_var('CC')`` lower down, because this may fail + # if the compiler used to compile Python is missing (and maybe this is + # why the user is setting CC). For example, the official Python 2.7.3 + # MacOS X binary was compiled with gcc-4.2, which is no longer available + # in XCode 4. + return + + if self.compiler is not None: + # At this point, self.compiler will be set only if a compiler + # was specified in the command-line or via setup.cfg, in which + # case we don't do anything + return + + compiler_type = ccompiler.get_default_compiler() + + if compiler_type == 'unix': + # We have to get the compiler this way, as this is the one that is + # used if os.environ['CC'] is not set. It is actually read in from + # the Python Makefile. Note that this is not necessarily the same + # compiler as returned by ccompiler.new_compiler() + c_compiler = sysconfig.get_config_var('CC') + + try: + version = get_compiler_version(c_compiler) + except OSError: + msg = textwrap.dedent( + """ + The C compiler used to compile Python {compiler:s}, and + which is normally used to compile C extensions, is not + available. You can explicitly specify which compiler to + use by setting the CC environment variable, for example: + + CC=gcc python setup.py + + or if you are using MacOS X, you can try: + + CC=clang python setup.py + """.format(compiler=c_compiler)) + log.warn(msg) + sys.exit(1) + + for broken, fixed in self._broken_compiler_mapping: + if re.match(broken, version): + os.environ['CC'] = fixed + break + + def _check_cython_sources(self, extension): + """ + Where relevant, make sure that the .c files associated with .pyx + modules are present (if building without Cython installed). + """ + + # Determine the compiler we'll be using + if self.compiler is None: + compiler = get_default_compiler() + else: + compiler = self.compiler + + # Replace .pyx with C-equivalents, unless c files are missing + for jdx, src in enumerate(extension.sources): + base, ext = os.path.splitext(src) + pyxfn = base + '.pyx' + cfn = base + '.c' + cppfn = base + '.cpp' + + if not os.path.isfile(pyxfn): + continue + + if self.uses_cython: + extension.sources[jdx] = pyxfn + else: + if os.path.isfile(cfn): + extension.sources[jdx] = cfn + elif os.path.isfile(cppfn): + extension.sources[jdx] = cppfn + else: + msg = ( + 'Could not find C/C++ file {0}.(c/cpp) for Cython ' + 'file {1} when building extension {2}. Cython ' + 'must be installed to build from a git ' + 'checkout.'.format(base, pyxfn, extension.name)) + raise IOError(errno.ENOENT, msg, cfn) + + # Current versions of Cython use deprecated Numpy API features + # the use of which produces a few warnings when compiling. + # These additional flags should squelch those warnings. + # TODO: Feel free to remove this if/when a Cython update + # removes use of the deprecated Numpy API + if compiler == 'unix': + extension.extra_compile_args.extend([ + '-Wp,-w', '-Wno-unused-function']) + + return build_ext diff --git a/astropy_helpers/astropy_helpers/commands/build_py.py b/astropy_helpers/astropy_helpers/commands/build_py.py new file mode 100644 index 00000000..7ec9351f --- /dev/null +++ b/astropy_helpers/astropy_helpers/commands/build_py.py @@ -0,0 +1,39 @@ +from setuptools.command.build_py import build_py as SetuptoolsBuildPy + +from ..utils import _get_platlib_dir + + +class AstropyBuildPy(SetuptoolsBuildPy): + user_options = SetuptoolsBuildPy.user_options[:] + boolean_options = SetuptoolsBuildPy.boolean_options[:] + + def finalize_options(self): + # Update build_lib settings from the build command to always put + # build files in platform-specific subdirectories of build/, even + # for projects with only pure-Python source (this is desirable + # specifically for support of multiple Python version). + build_cmd = self.get_finalized_command('build') + platlib_dir = _get_platlib_dir(build_cmd) + + build_cmd.build_purelib = platlib_dir + build_cmd.build_lib = platlib_dir + self.build_lib = platlib_dir + + SetuptoolsBuildPy.finalize_options(self) + + def run_2to3(self, files, doctests=False): + # Filter the files to exclude things that shouldn't be 2to3'd + skip_2to3 = self.distribution.skip_2to3 + filtered_files = [] + for filename in files: + for package in skip_2to3: + if filename[len(self.build_lib) + 1:].startswith(package): + break + else: + filtered_files.append(filename) + + SetuptoolsBuildPy.run_2to3(self, filtered_files, doctests) + + def run(self): + # first run the normal build_py + SetuptoolsBuildPy.run(self) diff --git a/astropy_helpers/astropy_helpers/commands/build_sphinx.py b/astropy_helpers/astropy_helpers/commands/build_sphinx.py new file mode 100644 index 00000000..c63d6fcb --- /dev/null +++ b/astropy_helpers/astropy_helpers/commands/build_sphinx.py @@ -0,0 +1,261 @@ +from __future__ import print_function + +import inspect +import os +import pkgutil +import re +import shutil +import subprocess +import sys +import textwrap +import warnings + +from distutils import log +from distutils.cmd import DistutilsOptionError + +import sphinx +from sphinx.setup_command import BuildDoc as SphinxBuildDoc + +from ..utils import minversion, AstropyDeprecationWarning + + +PY3 = sys.version_info[0] >= 3 + + +class AstropyBuildDocs(SphinxBuildDoc): + """ + A version of the ``build_docs`` command that uses the version of Astropy + that is built by the setup ``build`` command, rather than whatever is + installed on the system. To build docs against the installed version, run + ``make html`` in the ``astropy/docs`` directory. + + This also automatically creates the docs/_static directories--this is + needed because GitHub won't create the _static dir because it has no + tracked files. + """ + + description = 'Build Sphinx documentation for Astropy environment' + user_options = SphinxBuildDoc.user_options[:] + user_options.append( + ('warnings-returncode', 'w', + 'Parses the sphinx output and sets the return code to 1 if there ' + 'are any warnings. Note that this will cause the sphinx log to ' + 'only update when it completes, rather than continuously as is ' + 'normally the case.')) + user_options.append( + ('clean-docs', 'l', + 'Completely clean previous builds, including ' + 'automodapi-generated files before building new ones')) + user_options.append( + ('no-intersphinx', 'n', + 'Skip intersphinx, even if conf.py says to use it')) + user_options.append( + ('open-docs-in-browser', 'o', + 'Open the docs in a browser (using the webbrowser module) if the ' + 'build finishes successfully.')) + + boolean_options = SphinxBuildDoc.boolean_options[:] + boolean_options.append('warnings-returncode') + boolean_options.append('clean-docs') + boolean_options.append('no-intersphinx') + boolean_options.append('open-docs-in-browser') + + _self_iden_rex = re.compile(r"self\.([^\d\W][\w]+)", re.UNICODE) + + def initialize_options(self): + SphinxBuildDoc.initialize_options(self) + self.clean_docs = False + self.no_intersphinx = False + self.open_docs_in_browser = False + self.warnings_returncode = False + + def finalize_options(self): + + SphinxBuildDoc.finalize_options(self) + + # Clear out previous sphinx builds, if requested + if self.clean_docs: + dirstorm = [os.path.join(self.source_dir, 'api'), + os.path.join(self.source_dir, 'generated')] + if self.build_dir is None: + dirstorm.append('docs/_build') + else: + dirstorm.append(self.build_dir) + + for d in dirstorm: + if os.path.isdir(d): + log.info('Cleaning directory ' + d) + shutil.rmtree(d) + else: + log.info('Not cleaning directory ' + d + ' because ' + 'not present or not a directory') + + + def run(self): + # TODO: Break this method up into a few more subroutines and + # document them better + import webbrowser + + if PY3: + from urllib.request import pathname2url + else: + from urllib import pathname2url + + # This is used at the very end of `run` to decide if sys.exit should + # be called. If it's None, it won't be. + retcode = None + + # If possible, create the _static dir + if self.build_dir is not None: + # the _static dir should be in the same place as the _build dir + # for Astropy + basedir, subdir = os.path.split(self.build_dir) + if subdir == '': # the path has a trailing /... + basedir, subdir = os.path.split(basedir) + staticdir = os.path.join(basedir, '_static') + if os.path.isfile(staticdir): + raise DistutilsOptionError( + 'Attempted to build_docs in a location where' + + staticdir + 'is a file. Must be a directory.') + self.mkpath(staticdir) + + # Now make sure Astropy is built and determine where it was built + build_cmd = self.reinitialize_command('build') + build_cmd.inplace = 0 + self.run_command('build') + build_cmd = self.get_finalized_command('build') + build_cmd_path = os.path.abspath(build_cmd.build_lib) + + ah_importer = pkgutil.get_importer('astropy_helpers') + ah_path = os.path.abspath(ah_importer.path) + + # Now generate the source for and spawn a new process that runs the + # command. This is needed to get the correct imports for the built + # version + runlines, runlineno = inspect.getsourcelines(SphinxBuildDoc.run) + subproccode = textwrap.dedent(""" + from sphinx.setup_command import * + + os.chdir({srcdir!r}) + sys.path.insert(0, {build_cmd_path!r}) + sys.path.insert(0, {ah_path!r}) + + """).format(build_cmd_path=build_cmd_path, ah_path=ah_path, + srcdir=self.source_dir) + # runlines[1:] removes 'def run(self)' on the first line + subproccode += textwrap.dedent(''.join(runlines[1:])) + + # All "self.foo" in the subprocess code needs to be replaced by the + # values taken from the current self in *this* process + subproccode = self._self_iden_rex.split(subproccode) + for i in range(1, len(subproccode), 2): + iden = subproccode[i] + val = getattr(self, iden) + if iden.endswith('_dir'): + # Directories should be absolute, because the `chdir` call + # in the new process moves to a different directory + subproccode[i] = repr(os.path.abspath(val)) + else: + subproccode[i] = repr(val) + subproccode = ''.join(subproccode) + + optcode = textwrap.dedent(""" + + class Namespace(object): pass + self = Namespace() + self.pdb = {pdb!r} + self.verbosity = {verbosity!r} + self.traceback = {traceback!r} + + """).format(pdb=getattr(self, 'pdb', False), + verbosity=getattr(self, 'verbosity', 0), + traceback=getattr(self, 'traceback', False)) + + subproccode = optcode + subproccode + + # This is a quick gross hack, but it ensures that the code grabbed from + # SphinxBuildDoc.run will work in Python 2 if it uses the print + # function + if minversion(sphinx, '1.3'): + subproccode = 'from __future__ import print_function' + subproccode + + if self.no_intersphinx: + # the confoverrides variable in sphinx.setup_command.BuildDoc can + # be used to override the conf.py ... but this could well break + # if future versions of sphinx change the internals of BuildDoc, + # so remain vigilant! + subproccode = subproccode.replace( + 'confoverrides = {}', + 'confoverrides = {\'intersphinx_mapping\':{}}') + + log.debug('Starting subprocess of {0} with python code:\n{1}\n' + '[CODE END])'.format(sys.executable, subproccode)) + + # To return the number of warnings, we need to capture stdout. This + # prevents a continuous updating at the terminal, but there's no + # apparent way around this. + if self.warnings_returncode: + proc = subprocess.Popen([sys.executable, '-c', subproccode], + stdin=subprocess.PIPE, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT) + + retcode = 1 + with proc.stdout: + for line in iter(proc.stdout.readline, b''): + line = line.strip(b'\r\n') + print(line.decode('utf-8')) + if 'build succeeded.' == line.decode('utf-8'): + retcode = 0 + + # Poll to set proc.retcode + proc.wait() + + if retcode != 0: + if os.environ.get('TRAVIS', None) == 'true': + # this means we are in the travis build, so customize + # the message appropriately. + msg = ('The build_docs travis build FAILED ' + 'because sphinx issued documentation ' + 'warnings (scroll up to see the warnings).') + else: # standard failure message + msg = ('build_docs returning a non-zero exit ' + 'code because sphinx issued documentation ' + 'warnings.') + log.warn(msg) + + else: + proc = subprocess.Popen([sys.executable], stdin=subprocess.PIPE) + proc.communicate(subproccode.encode('utf-8')) + + if proc.returncode == 0: + if self.open_docs_in_browser: + if self.builder == 'html': + absdir = os.path.abspath(self.builder_target_dir) + index_path = os.path.join(absdir, 'index.html') + fileurl = 'file://' + pathname2url(index_path) + webbrowser.open(fileurl) + else: + log.warn('open-docs-in-browser option was given, but ' + 'the builder is not html! Ignoring.') + else: + log.warn('Sphinx Documentation subprocess failed with return ' + 'code ' + str(proc.returncode)) + retcode = proc.returncode + + if retcode is not None: + # this is potentially dangerous in that there might be something + # after the call to `setup` in `setup.py`, and exiting here will + # prevent that from running. But there's no other apparent way + # to signal what the return code should be. + sys.exit(retcode) + + +class AstropyBuildSphinx(AstropyBuildDocs): # pragma: no cover + description = 'deprecated alias to the build_docs command' + + def run(self): + warnings.warn( + 'The "build_sphinx" command is now deprecated. Use' + '"build_docs" instead.', AstropyDeprecationWarning) + AstropyBuildDocs.run(self) diff --git a/astropy_helpers/astropy_helpers/commands/install.py b/astropy_helpers/astropy_helpers/commands/install.py new file mode 100644 index 00000000..c3d57275 --- /dev/null +++ b/astropy_helpers/astropy_helpers/commands/install.py @@ -0,0 +1,14 @@ +from setuptools.command.install import install as SetuptoolsInstall + +from ..utils import _get_platlib_dir + + +class AstropyInstall(SetuptoolsInstall): + user_options = SetuptoolsInstall.user_options[:] + boolean_options = SetuptoolsInstall.boolean_options[:] + + def finalize_options(self): + build_cmd = self.get_finalized_command('build') + platlib_dir = _get_platlib_dir(build_cmd) + self.build_lib = platlib_dir + SetuptoolsInstall.finalize_options(self) diff --git a/astropy_helpers/astropy_helpers/commands/install_lib.py b/astropy_helpers/astropy_helpers/commands/install_lib.py new file mode 100644 index 00000000..20815669 --- /dev/null +++ b/astropy_helpers/astropy_helpers/commands/install_lib.py @@ -0,0 +1,14 @@ +from setuptools.command.install_lib import install_lib as SetuptoolsInstallLib + +from ..utils import _get_platlib_dir + + +class AstropyInstallLib(SetuptoolsInstallLib): + user_options = SetuptoolsInstallLib.user_options[:] + boolean_options = SetuptoolsInstallLib.boolean_options[:] + + def finalize_options(self): + build_cmd = self.get_finalized_command('build') + platlib_dir = _get_platlib_dir(build_cmd) + self.build_dir = platlib_dir + SetuptoolsInstallLib.finalize_options(self) diff --git a/astropy_helpers/astropy_helpers/commands/setup_package.py b/astropy_helpers/astropy_helpers/commands/setup_package.py new file mode 100644 index 00000000..6e3aab5a --- /dev/null +++ b/astropy_helpers/astropy_helpers/commands/setup_package.py @@ -0,0 +1,5 @@ +from os.path import join + + +def get_package_data(): + return {'astropy_helpers.commands': [join('src', 'compiler.c')]} diff --git a/astropy_helpers/astropy_helpers/commands/test.py b/astropy_helpers/astropy_helpers/commands/test.py new file mode 100644 index 00000000..4e722875 --- /dev/null +++ b/astropy_helpers/astropy_helpers/commands/test.py @@ -0,0 +1,32 @@ +""" +Different implementations of the ``./setup.py test`` command depending on +what's locally available. + +If Astropy v1.1.0.dev or later is available it should be possible to import +AstropyTest from ``astropy.tests.command``. If ``astropy`` can be imported +but not ``astropy.tests.command`` (i.e. an older version of Astropy), we can +use the backwards-compat implementation of the command. + +If Astropy can't be imported at all then there is a skeleton implementation +that allows users to at least discover the ``./setup.py test`` command and +learn that they need Astropy to run it. +""" + + +# Previously these except statements caught only ImportErrors, but there are +# some other obscure exceptional conditions that can occur when importing +# astropy.tests (at least on older versions) that can cause these imports to +# fail +try: + import astropy # noqa + from astropy.tests.command import AstropyTest +except Exception: + # No astropy at all--provide the dummy implementation + from ._dummy import _DummyCommand + + class AstropyTest(_DummyCommand): + command_name = 'test' + description = 'Run the tests for this package' + error_msg = ( + "The 'test' command requires the astropy package to be " + "installed and importable.") diff --git a/astropy_helpers/astropy_helpers/compat/__init__.py b/astropy_helpers/astropy_helpers/compat/__init__.py new file mode 100644 index 00000000..818e7600 --- /dev/null +++ b/astropy_helpers/astropy_helpers/compat/__init__.py @@ -0,0 +1,12 @@ +def _fix_user_options(options): + """ + This is for Python 2.x and 3.x compatibility. distutils expects Command + options to all be byte strings on Python 2 and Unicode strings on Python 3. + """ + + def to_str_or_none(x): + if x is None: + return None + return str(x) + + return [tuple(to_str_or_none(x) for x in y) for y in options] diff --git a/astropy_helpers/astropy_helpers/distutils_helpers.py b/astropy_helpers/astropy_helpers/distutils_helpers.py new file mode 100644 index 00000000..15a32dd5 --- /dev/null +++ b/astropy_helpers/astropy_helpers/distutils_helpers.py @@ -0,0 +1,257 @@ +""" +This module contains various utilities for introspecting the distutils +module and the setup process. + +Some of these utilities require the +`astropy_helpers.setup_helpers.register_commands` function to be called first, +as it will affect introspection of setuptools command-line arguments. Other +utilities in this module do not have that restriction. +""" + +import os +import sys + +from distutils import ccompiler, log +from distutils.dist import Distribution +from distutils.errors import DistutilsError + +from .utils import silence + + +# This function, and any functions that call it, require the setup in +# `astropy_helpers.setup_helpers.register_commands` to be run first. +def get_dummy_distribution(): + """ + Returns a distutils Distribution object used to instrument the setup + environment before calling the actual setup() function. + """ + + from .setup_helpers import _module_state + + if _module_state['registered_commands'] is None: + raise RuntimeError( + 'astropy_helpers.setup_helpers.register_commands() must be ' + 'called before using ' + 'astropy_helpers.setup_helpers.get_dummy_distribution()') + + # Pre-parse the Distutils command-line options and config files to if + # the option is set. + dist = Distribution({'script_name': os.path.basename(sys.argv[0]), + 'script_args': sys.argv[1:]}) + dist.cmdclass.update(_module_state['registered_commands']) + + with silence(): + try: + dist.parse_config_files() + dist.parse_command_line() + except (DistutilsError, AttributeError, SystemExit): + # Let distutils handle DistutilsErrors itself AttributeErrors can + # get raise for ./setup.py --help SystemExit can be raised if a + # display option was used, for example + pass + + return dist + + +def get_distutils_option(option, commands): + """ Returns the value of the given distutils option. + + Parameters + ---------- + option : str + The name of the option + + commands : list of str + The list of commands on which this option is available + + Returns + ------- + val : str or None + the value of the given distutils option. If the option is not set, + returns None. + """ + + dist = get_dummy_distribution() + + for cmd in commands: + cmd_opts = dist.command_options.get(cmd) + if cmd_opts is not None and option in cmd_opts: + return cmd_opts[option][1] + else: + return None + + +def get_distutils_build_option(option): + """ Returns the value of the given distutils build option. + + Parameters + ---------- + option : str + The name of the option + + Returns + ------- + val : str or None + The value of the given distutils build option. If the option + is not set, returns None. + """ + return get_distutils_option(option, ['build', 'build_ext', 'build_clib']) + + +def get_distutils_install_option(option): + """ Returns the value of the given distutils install option. + + Parameters + ---------- + option : str + The name of the option + + Returns + ------- + val : str or None + The value of the given distutils build option. If the option + is not set, returns None. + """ + return get_distutils_option(option, ['install']) + + +def get_distutils_build_or_install_option(option): + """ Returns the value of the given distutils build or install option. + + Parameters + ---------- + option : str + The name of the option + + Returns + ------- + val : str or None + The value of the given distutils build or install option. If the + option is not set, returns None. + """ + return get_distutils_option(option, ['build', 'build_ext', 'build_clib', + 'install']) + + +def get_compiler_option(): + """ Determines the compiler that will be used to build extension modules. + + Returns + ------- + compiler : str + The compiler option specified for the build, build_ext, or build_clib + command; or the default compiler for the platform if none was + specified. + + """ + + compiler = get_distutils_build_option('compiler') + if compiler is None: + return ccompiler.get_default_compiler() + + return compiler + + +def add_command_option(command, name, doc, is_bool=False): + """ + Add a custom option to a setup command. + + Issues a warning if the option already exists on that command. + + Parameters + ---------- + command : str + The name of the command as given on the command line + + name : str + The name of the build option + + doc : str + A short description of the option, for the `--help` message + + is_bool : bool, optional + When `True`, the option is a boolean option and doesn't + require an associated value. + """ + + dist = get_dummy_distribution() + cmdcls = dist.get_command_class(command) + + if (hasattr(cmdcls, '_astropy_helpers_options') and + name in cmdcls._astropy_helpers_options): + return + + attr = name.replace('-', '_') + + if hasattr(cmdcls, attr): + raise RuntimeError( + '{0!r} already has a {1!r} class attribute, barring {2!r} from ' + 'being usable as a custom option name.'.format(cmdcls, attr, name)) + + for idx, cmd in enumerate(cmdcls.user_options): + if cmd[0] == name: + log.warn('Overriding existing {0!r} option ' + '{1!r}'.format(command, name)) + del cmdcls.user_options[idx] + if name in cmdcls.boolean_options: + cmdcls.boolean_options.remove(name) + break + + cmdcls.user_options.append((name, None, doc)) + + if is_bool: + cmdcls.boolean_options.append(name) + + # Distutils' command parsing requires that a command object have an + # attribute with the same name as the option (with '-' replaced with '_') + # in order for that option to be recognized as valid + setattr(cmdcls, attr, None) + + # This caches the options added through add_command_option so that if it is + # run multiple times in the same interpreter repeated adds are ignored + # (this way we can still raise a RuntimeError if a custom option overrides + # a built-in option) + if not hasattr(cmdcls, '_astropy_helpers_options'): + cmdcls._astropy_helpers_options = set([name]) + else: + cmdcls._astropy_helpers_options.add(name) + + +def get_distutils_display_options(): + """ Returns a set of all the distutils display options in their long and + short forms. These are the setup.py arguments such as --name or --version + which print the project's metadata and then exit. + + Returns + ------- + opts : set + The long and short form display option arguments, including the - or -- + """ + + short_display_opts = set('-' + o[1] for o in Distribution.display_options + if o[1]) + long_display_opts = set('--' + o[0] for o in Distribution.display_options) + + # Include -h and --help which are not explicitly listed in + # Distribution.display_options (as they are handled by optparse) + short_display_opts.add('-h') + long_display_opts.add('--help') + + # This isn't the greatest approach to hardcode these commands. + # However, there doesn't seem to be a good way to determine + # whether build *will be* run as part of the command at this + # phase. + display_commands = set([ + 'clean', 'register', 'setopt', 'saveopts', 'egg_info', + 'alias']) + + return short_display_opts.union(long_display_opts.union(display_commands)) + + +def is_distutils_display_option(): + """ Returns True if sys.argv contains any of the distutils display options + such as --version or --name. + """ + + display_options = get_distutils_display_options() + return bool(set(sys.argv[1:]).intersection(display_options)) diff --git a/astropy_helpers/astropy_helpers/extern/__init__.py b/astropy_helpers/astropy_helpers/extern/__init__.py new file mode 100644 index 00000000..f6604f19 --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/__init__.py @@ -0,0 +1,11 @@ +# The ``astropy_helpers.extern`` sub-module includes modules developed elsewhere +# that are bundled here for convenience. At the moment, this consists of the +# following two sphinx extensions: +# +# * `numpydoc `_, a Sphinx extension +# developed as part of the Numpy project. This is used to parse docstrings +# in Numpy format +# +# * `sphinx-automodapi `_, a Sphinx +# developed as part of the Astropy project. This used to be developed directly +# in ``astropy-helpers`` but is now a standalone package. diff --git a/astropy_helpers/astropy_helpers/extern/automodapi/__init__.py b/astropy_helpers/astropy_helpers/extern/automodapi/__init__.py new file mode 100644 index 00000000..27fda16b --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/automodapi/__init__.py @@ -0,0 +1 @@ +__version__ = '0.6' diff --git a/astropy_helpers/astropy_helpers/extern/automodapi/autodoc_enhancements.py b/astropy_helpers/astropy_helpers/extern/automodapi/autodoc_enhancements.py new file mode 100644 index 00000000..426c3c9d --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/automodapi/autodoc_enhancements.py @@ -0,0 +1,135 @@ +""" +Miscellaneous enhancements to help autodoc along. +""" + +import inspect +import sys +import types +import sphinx +from distutils.version import LooseVersion + +from sphinx.ext.autodoc import AttributeDocumenter, ModuleDocumenter +from sphinx.util.inspect import isdescriptor + +if sys.version_info[0] == 3: + class_types = (type,) +else: + class_types = (type, types.ClassType) + +SPHINX_LT_15 = (LooseVersion(sphinx.__version__) < LooseVersion('1.5')) + +MethodDescriptorType = type(type.__subclasses__) + + +# See +# https://github.com/astropy/astropy-helpers/issues/116#issuecomment-71254836 +# for further background on this. +def type_object_attrgetter(obj, attr, *defargs): + """ + This implements an improved attrgetter for type objects (i.e. classes) + that can handle class attributes that are implemented as properties on + a metaclass. + + Normally `getattr` on a class with a `property` (say, "foo"), would return + the `property` object itself. However, if the class has a metaclass which + *also* defines a `property` named "foo", ``getattr(cls, 'foo')`` will find + the "foo" property on the metaclass and resolve it. For the purposes of + autodoc we just want to document the "foo" property defined on the class, + not on the metaclass. + + For example:: + + >>> class Meta(type): + ... @property + ... def foo(cls): + ... return 'foo' + ... + >>> class MyClass(metaclass=Meta): + ... @property + ... def foo(self): + ... \"\"\"Docstring for MyClass.foo property.\"\"\" + ... return 'myfoo' + ... + >>> getattr(MyClass, 'foo') + 'foo' + >>> type_object_attrgetter(MyClass, 'foo') + + >>> type_object_attrgetter(MyClass, 'foo').__doc__ + 'Docstring for MyClass.foo property.' + + The last line of the example shows the desired behavior for the purposes + of autodoc. + """ + + for base in obj.__mro__: + if attr in base.__dict__: + if isinstance(base.__dict__[attr], property): + # Note, this should only be used for properties--for any other + # type of descriptor (classmethod, for example) this can mess + # up existing expectations of what getattr(cls, ...) returns + return base.__dict__[attr] + break + + return getattr(obj, attr, *defargs) + + +if SPHINX_LT_15: + # Provided to work around a bug in Sphinx + # See https://github.com/sphinx-doc/sphinx/pull/1843 + class AttributeDocumenter(AttributeDocumenter): + @classmethod + def can_document_member(cls, member, membername, isattr, parent): + non_attr_types = cls.method_types + class_types + \ + (MethodDescriptorType,) + isdatadesc = isdescriptor(member) and not \ + isinstance(member, non_attr_types) and not \ + type(member).__name__ == "instancemethod" + # That last condition addresses an obscure case of C-defined + # methods using a deprecated type in Python 3, that is not + # otherwise exported anywhere by Python + return isdatadesc or (not isinstance(parent, ModuleDocumenter) and + not inspect.isroutine(member) and + not isinstance(member, class_types)) + + +def setup(app): + # Must have the autodoc extension set up first so we can override it + app.setup_extension('sphinx.ext.autodoc') + # Need to import this too since it re-registers all the documenter types + # =_= + import sphinx.ext.autosummary.generate + + app.add_autodoc_attrgetter(type, type_object_attrgetter) + + if sphinx.version_info < (1, 4, 2): + # this is a really ugly hack to supress a warning that sphinx 1.4 + # generates when overriding an existing directive (which is *desired* + # behavior here). As of sphinx v1.4.2, this has been fixed: + # https://github.com/sphinx-doc/sphinx/issues/2451 + # But we leave it in for 1.4.0/1.4.1 . But if the "needs_sphinx" is + # eventually updated to >= 1.4.2, this should be removed entirely (in + # favor of the line in the "else" clause) + _oldwarn = app._warning + _oldwarncount = app._warncount + try: + try: + # *this* is in a try/finally because we don't want to force six as + # a real dependency. In sphinx 1.4, six is a prerequisite, so + # there's no issue. But in older sphinxes this may not be true... + # but the inderlying warning is absent anyway so we let it slide. + from six import StringIO + app._warning = StringIO() + except ImportError: + pass + app.add_autodocumenter(AttributeDocumenter) + finally: + app._warning = _oldwarn + app._warncount = _oldwarncount + else: + suppress_warnigns_orig = app.config.suppress_warnings[:] + if 'app.add_directive' not in app.config.suppress_warnings: + app.config.suppress_warnings.append('app.add_directive') + try: + app.add_autodocumenter(AttributeDocumenter) + finally: + app.config.suppress_warnings = suppress_warnigns_orig diff --git a/astropy_helpers/astropy_helpers/extern/automodapi/automodapi.py b/astropy_helpers/astropy_helpers/extern/automodapi/automodapi.py new file mode 100644 index 00000000..fdf8b960 --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/automodapi/automodapi.py @@ -0,0 +1,423 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst +""" +This directive takes a single argument that must be a module or package. It +will produce a block of documentation that includes the docstring for the +package, an :ref:`automodsumm` directive, and an :ref:`automod-diagram` if +there are any classes in the module. If only the main docstring of the +module/package is desired in the documentation, use `automodule`_ instead of +`automodapi`_. + +It accepts the following options: + + * ``:include-all-objects:`` + If present, include not just functions and classes, but all objects. + This includes variables, for which a possible docstring after the + variable definition will be shown. + + * ``:no-inheritance-diagram:`` + If present, the inheritance diagram will not be shown even if + the module/package has classes. + + * ``:skip: str`` + This option results in the + specified object being skipped, that is the object will *not* be + included in the generated documentation. This option may appear + any number of times to skip multiple objects. + + * ``:no-main-docstr:`` + If present, the docstring for the module/package will not be generated. + The function and class tables will still be used, however. + + * ``:headings: str`` + Specifies the characters (in one string) used as the heading + levels used for the generated section. This must have at least 2 + characters (any after 2 will be ignored). This also *must* match + the rest of the documentation on this page for sphinx to be + happy. Defaults to "-^", which matches the convention used for + Python's documentation, assuming the automodapi call is inside a + top-level section (which usually uses '='). + + * ``:no-heading:`` + If specified do not create a top level heading for the section. + That is, do not create a title heading with text like "packagename + Package". The actual docstring for the package/module will still be + shown, though, unless ``:no-main-docstr:`` is given. + + * ``:allowed-package-names: str`` + Specifies the packages that functions/classes documented here are + allowed to be from, as comma-separated list of package names. If not + given, only objects that are actually in a subpackage of the package + currently being documented are included. + + * ``:inherited-members:`` / ``:no-inherited-members:`` + The global sphinx configuration option + ``automodsumm_inherited_members`` decides if members that a class + inherits from a base class are included in the generated + documentation. The option ``:inherited-members:`` or ``:no-inherited-members:`` + allows the user to overrride the global setting. + + +This extension also adds three sphinx configuration options: + +* ``automodapi_toctreedirnm`` + This must be a string that specifies the name of the directory the + automodsumm generated documentation ends up in. This directory path should + be relative to the documentation root (e.g., same place as ``index.rst``). + Defaults to ``'api'``. + +* ``automodapi_writereprocessed`` + Should be a bool, and if `True`, will cause `automodapi`_ to write files + with any `automodapi`_ sections replaced with the content Sphinx + processes after `automodapi`_ has run. The output files are not + actually used by sphinx, so this option is only for figuring out the + cause of sphinx warnings or other debugging. Defaults to `False`. + +* ``automodsumm_inherited_members`` + Should be a bool and if ``True`` members that a class inherits from a base + class are included in the generated documentation. Defaults to ``False``. + +.. _automodule: http://sphinx-doc.org/latest/ext/autodoc.html?highlight=automodule#directive-automodule +""" + +# Implementation note: +# The 'automodapi' directive is not actually implemented as a docutils +# directive. Instead, this extension searches for the 'automodapi' text in +# all sphinx documents, and replaces it where necessary from a template built +# into this extension. This is necessary because automodsumm (and autosummary) +# use the "builder-inited" event, which comes before the directives are +# actually built. + +import inspect +import io +import os +import re +import sys + +from .utils import find_mod_objs + +if sys.version_info[0] == 3: + text_type = str +else: + text_type = unicode + + +automod_templ_modheader = """ +{modname} {pkgormod} +{modhds}{pkgormodhds} + +{automoduleline} +""" + +automod_templ_classes = """ +Classes +{clshds} + +.. automodsumm:: {modname} + :classes-only: + {clsfuncoptions} +""" + +automod_templ_funcs = """ +Functions +{funchds} + +.. automodsumm:: {modname} + :functions-only: + {clsfuncoptions} +""" + +automod_templ_vars = """ +Variables +{otherhds} + +.. automodsumm:: {modname} + :variables-only: + {clsfuncoptions} +""" + +automod_templ_inh = """ +Class Inheritance Diagram +{clsinhsechds} + +.. automod-diagram:: {modname} + :private-bases: + :parts: 1 + {allowedpkgnms} + {skip} +""" + +_automodapirex = re.compile(r'^(?:\.\.\s+automodapi::\s*)([A-Za-z0-9_.]+)' + r'\s*$((?:\n\s+:[a-zA-Z_\-]+:.*$)*)', + flags=re.MULTILINE) +# the last group of the above regex is intended to go into finall with the below +_automodapiargsrex = re.compile(r':([a-zA-Z_\-]+):(.*)$', flags=re.MULTILINE) + + +def automodapi_replace(sourcestr, app, dotoctree=True, docname=None, + warnings=True): + """ + Replaces `sourcestr`'s entries of ".. automdapi::" with the + automodapi template form based on provided options. + + This is used with the sphinx event 'source-read' to replace + `automodapi`_ entries before sphinx actually processes them, as + automodsumm needs the code to be present to generate stub + documentation. + + Parameters + ---------- + sourcestr : str + The string with sphinx source to be checked for automodapi + replacement. + app : `sphinx.application.Application` + The sphinx application. + dotoctree : bool + If `True`, a ":toctree:" option will be added in the ".. + automodsumm::" sections of the template, pointing to the + appropriate "generated" directory based on the Astropy convention + (e.g. in ``docs/api``) + docname : str + The name of the file for this `sourcestr` (if known - if not, it + can be `None`). If not provided and `dotoctree` is `True`, the + generated files may end up in the wrong place. + warnings : bool + If `False`, all warnings that would normally be issued are + silenced. + + Returns + ------- + newstr :str + The string with automodapi entries replaced with the correct + sphinx markup. + """ + + spl = _automodapirex.split(sourcestr) + if len(spl) > 1: # automodsumm is in this document + + # Use app.srcdir because api folder should be inside source folder not + # at folder where sphinx is run. + + if dotoctree: + toctreestr = ':toctree: ' + api_dir = os.path.join(app.srcdir, app.config.automodapi_toctreedirnm) + if docname is None: + doc_path = '.' + else: + doc_path = os.path.join(app.srcdir, docname) + toctreestr += os.path.relpath(api_dir, os.path.dirname(doc_path)) + else: + toctreestr = '' + + newstrs = [spl[0]] + for grp in range(len(spl) // 3): + modnm = spl[grp * 3 + 1] + + # find where this is in the document for warnings + if docname is None: + location = None + else: + location = (docname, spl[0].count('\n')) + + # initialize default options + toskip = [] + inhdiag = maindocstr = top_head = True + hds = '-^' + allowedpkgnms = [] + allowothers = False + + # look for actual options + unknownops = [] + inherited_members = None + for opname, args in _automodapiargsrex.findall(spl[grp * 3 + 2]): + if opname == 'skip': + toskip.append(args.strip()) + elif opname == 'no-inheritance-diagram': + inhdiag = False + elif opname == 'no-main-docstr': + maindocstr = False + elif opname == 'headings': + hds = args + elif opname == 'no-heading': + top_head = False + elif opname == 'allowed-package-names': + allowedpkgnms.append(args.strip()) + elif opname == 'inherited-members': + inherited_members = True + elif opname == 'no-inherited-members': + inherited_members = False + elif opname == 'include-all-objects': + allowothers = True + else: + unknownops.append(opname) + + # join all the allowedpkgnms + if len(allowedpkgnms) == 0: + allowedpkgnms = '' + onlylocals = True + else: + allowedpkgnms = ':allowed-package-names: ' + ','.join(allowedpkgnms) + onlylocals = allowedpkgnms + + # get the two heading chars + if len(hds) < 2: + msg = 'Not enough headings (got {0}, need 2), using default -^' + if warnings: + app.warn(msg.format(len(hds)), location) + hds = '-^' + h1, h2 = hds.lstrip()[:2] + + # tell sphinx that the remaining args are invalid. + if len(unknownops) > 0 and app is not None: + opsstrs = ','.join(unknownops) + msg = 'Found additional options ' + opsstrs + ' in automodapi.' + if warnings: + app.warn(msg, location) + + ispkg, hascls, hasfuncs, hasother = _mod_info( + modnm, toskip, onlylocals=onlylocals) + + # add automodule directive only if no-main-docstr isn't present + if maindocstr: + automodline = '.. automodule:: {modname}'.format(modname=modnm) + else: + automodline = '' + if top_head: + newstrs.append(automod_templ_modheader.format( + modname=modnm, + modhds=h1 * len(modnm), + pkgormod='Package' if ispkg else 'Module', + pkgormodhds=h1 * (8 if ispkg else 7), + automoduleline=automodline)) # noqa + else: + newstrs.append(automod_templ_modheader.format( + modname='', + modhds='', + pkgormod='', + pkgormodhds='', + automoduleline=automodline)) + + # construct the options for the class/function sections + # start out indented at 4 spaces, but need to keep the indentation. + clsfuncoptions = [] + if toctreestr: + clsfuncoptions.append(toctreestr) + if toskip: + clsfuncoptions.append(':skip: ' + ','.join(toskip)) + if allowedpkgnms: + clsfuncoptions.append(allowedpkgnms) + if hascls: # This makes no sense unless there are classes. + if inherited_members is True: + clsfuncoptions.append(':inherited-members:') + if inherited_members is False: + clsfuncoptions.append(':no-inherited-members:') + clsfuncoptionstr = '\n '.join(clsfuncoptions) + + if hasfuncs: + newstrs.append(automod_templ_funcs.format( + modname=modnm, + funchds=h2 * 9, + clsfuncoptions=clsfuncoptionstr)) + + if hascls: + newstrs.append(automod_templ_classes.format( + modname=modnm, + clshds=h2 * 7, + clsfuncoptions=clsfuncoptionstr)) + + if allowothers and hasother: + newstrs.append(automod_templ_vars.format( + modname=modnm, + otherhds=h2 * 9, + clsfuncoptions=clsfuncoptionstr)) + + if inhdiag and hascls: + # add inheritance diagram if any classes are in the module + if toskip: + clsskip = ':skip: ' + ','.join(toskip) + else: + clsskip = '' + diagram_entry = automod_templ_inh.format( + modname=modnm, + clsinhsechds=h2 * 25, + allowedpkgnms=allowedpkgnms, + skip=clsskip) + diagram_entry = diagram_entry.replace(' \n', '') + newstrs.append(diagram_entry) + + newstrs.append(spl[grp * 3 + 3]) + + newsourcestr = ''.join(newstrs) + + if app.config.automodapi_writereprocessed: + # sometimes they are unicode, sometimes not, depending on how + # sphinx has processed things + if isinstance(newsourcestr, text_type): + ustr = newsourcestr + else: + ustr = newsourcestr.decode(app.config.source_encoding) + + if docname is None: + with io.open(os.path.join(app.srcdir, 'unknown.automodapi'), + 'a', encoding='utf8') as f: + f.write(u'\n**NEW DOC**\n\n') + f.write(ustr) + else: + env = app.builder.env + # Determine the filename associated with this doc (specifically + # the extension) + filename = docname + os.path.splitext(env.doc2path(docname))[1] + filename += '.automodapi' + + with io.open(os.path.join(app.srcdir, filename), 'w', + encoding='utf8') as f: + f.write(ustr) + + return newsourcestr + else: + return sourcestr + + +def _mod_info(modname, toskip=[], onlylocals=True): + """ + Determines if a module is a module or a package and whether or not + it has classes or functions. + """ + + hascls = hasfunc = hasother = False + + for localnm, fqnm, obj in zip(*find_mod_objs(modname, onlylocals=onlylocals)): + if localnm not in toskip: + hascls = hascls or inspect.isclass(obj) + hasfunc = hasfunc or inspect.isroutine(obj) + hasother = hasother or (not inspect.isclass(obj) and + not inspect.isroutine(obj)) + if hascls and hasfunc and hasother: + break + + # find_mod_objs has already imported modname + # TODO: There is probably a cleaner way to do this, though this is pretty + # reliable for all Python versions for most cases that we care about. + pkg = sys.modules[modname] + ispkg = (hasattr(pkg, '__file__') and isinstance(pkg.__file__, str) and + os.path.split(pkg.__file__)[1].startswith('__init__.py')) + + return ispkg, hascls, hasfunc, hasother + + +def process_automodapi(app, docname, source): + source[0] = automodapi_replace(source[0], app, True, docname) + + +def setup(app): + + app.setup_extension('sphinx.ext.autosummary') + + # Note: we use __name__ here instead of just writing the module name in + # case this extension is bundled into another package + from . import automodsumm + app.setup_extension(automodsumm.__name__) + + app.connect('source-read', process_automodapi) + + app.add_config_value('automodapi_toctreedirnm', 'api', True) + app.add_config_value('automodapi_writereprocessed', False, True) diff --git a/astropy_helpers/astropy_helpers/extern/automodapi/automodsumm.py b/astropy_helpers/astropy_helpers/extern/automodapi/automodsumm.py new file mode 100644 index 00000000..3b627644 --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/automodapi/automodsumm.py @@ -0,0 +1,652 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst +""" +This directive will produce an "autosummary"-style table for public +attributes of a specified module. See the `sphinx.ext.autosummary`_ extension +for details on this process. The main difference from the `autosummary`_ +directive is that `autosummary`_ requires manually inputting all attributes +that appear in the table, while this captures the entries automatically. + +This directive requires a single argument that must be a module or +package. + +It also accepts any options supported by the `autosummary`_ directive- +see `sphinx.ext.autosummary`_ for details. It also accepts some additional +options: + + * ``:classes-only:`` + If present, the autosummary table will only contain entries for + classes. This cannot be used at the same time with + ``:functions-only:`` or ``:variables-only:``. + + * ``:functions-only:`` + If present, the autosummary table will only contain entries for + functions. This cannot be used at the same time with + ``:classes-only:`` or ``:variables-only:``. + + * ``:variables-only:`` + If present, the autosummary table will only contain entries for + variables (everything except functions and classes). This cannot + be used at the same time with ``:classes-only:`` or + ``:functions-only:``. + + * ``:skip: obj1, [obj2, obj3, ...]`` + If present, specifies that the listed objects should be skipped + and not have their documentation generated, nor be included in + the summary table. + + * ``:allowed-package-names: pkgormod1, [pkgormod2, pkgormod3, ...]`` + Specifies the packages that functions/classes documented here are + allowed to be from, as comma-separated list of package names. If not + given, only objects that are actually in a subpackage of the package + currently being documented are included. + + * ``:inherited-members:`` or ``:no-inherited-members:`` + The global sphinx configuration option ``automodsumm_inherited_members`` + decides if members that a class inherits from a base class are included + in the generated documentation. The flags ``:inherited-members:`` or + ``:no-inherited-members:`` allows overrriding this global setting. + +This extension also adds two sphinx configuration options: + +* ``automodsumm_writereprocessed`` + Should be a bool, and if ``True``, will cause `automodsumm`_ to write files + with any ``automodsumm`` sections replaced with the content Sphinx + processes after ``automodsumm`` has run. The output files are not + actually used by sphinx, so this option is only for figuring out the + cause of sphinx warnings or other debugging. Defaults to ``False``. + +* ``automodsumm_inherited_members`` + Should be a bool and if ``True``, will cause `automodsumm`_ to document + class members that are inherited from a base class. This value can be + overriden for any particular automodsumm directive by including the + ``:inherited-members:`` or ``:no-inherited-members:`` options. Defaults to + ``False``. + +.. _sphinx.ext.autosummary: http://sphinx-doc.org/latest/ext/autosummary.html +.. _autosummary: http://sphinx-doc.org/latest/ext/autosummary.html#directive-autosummary + +.. _automod-diagram: + +automod-diagram directive +========================= + +This directive will produce an inheritance diagram like that of the +`sphinx.ext.inheritance_diagram`_ extension. + +This directive requires a single argument that must be a module or +package. It accepts no options. + +.. note:: + Like 'inheritance-diagram', 'automod-diagram' requires + `graphviz `_ to generate the inheritance diagram. + +.. _sphinx.ext.inheritance_diagram: http://sphinx-doc.org/latest/ext/inheritance.html +""" + +import inspect +import os +import re +import io + +from sphinx.ext.autosummary import Autosummary +from sphinx.ext.inheritance_diagram import InheritanceDiagram +from docutils.parsers.rst.directives import flag + +from .utils import find_mod_objs, cleanup_whitespace + + +def _str_list_converter(argument): + """ + A directive option conversion function that converts the option into a list + of strings. Used for 'skip' option. + """ + if argument is None: + return [] + else: + return [s.strip() for s in argument.split(',')] + + +class Automodsumm(Autosummary): + required_arguments = 1 + optional_arguments = 0 + final_argument_whitespace = False + has_content = False + option_spec = dict(Autosummary.option_spec) + option_spec['functions-only'] = flag + option_spec['classes-only'] = flag + option_spec['variables-only'] = flag + option_spec['skip'] = _str_list_converter + option_spec['allowed-package-names'] = _str_list_converter + option_spec['inherited-members'] = flag + option_spec['no-inherited-members'] = flag + + def run(self): + env = self.state.document.settings.env + modname = self.arguments[0] + + self.warnings = [] + nodelist = [] + + try: + localnames, fqns, objs = find_mod_objs(modname) + except ImportError: + self.warnings = [] + self.warn("Couldn't import module " + modname) + return self.warnings + + try: + # set self.content to trick the autosummary internals. + # Be sure to respect functions-only and classes-only. + funconly = 'functions-only' in self.options + clsonly = 'classes-only' in self.options + varonly = 'variables-only' in self.options + if [clsonly, funconly, varonly].count(True) > 1: + self.warning('more than one of functions-only, classes-only, ' + 'or variables-only defined. Ignoring.') + clsonly = funconly = varonly = False + + skipnames = [] + if 'skip' in self.options: + option_skipnames = set(self.options['skip']) + for lnm in localnames: + if lnm in option_skipnames: + option_skipnames.remove(lnm) + skipnames.append(lnm) + if len(option_skipnames) > 0: + self.warn('Tried to skip objects {objs} in module {mod}, ' + 'but they were not present. Ignoring.' + .format(objs=option_skipnames, mod=modname)) + + if funconly: + cont = [] + for nm, obj in zip(localnames, objs): + if nm not in skipnames and inspect.isroutine(obj): + cont.append(nm) + elif clsonly: + cont = [] + for nm, obj in zip(localnames, objs): + if nm not in skipnames and inspect.isclass(obj): + cont.append(nm) + elif varonly: + cont = [] + for nm, obj in zip(localnames, objs): + if nm not in skipnames and not (inspect.isclass(obj) or + inspect.isroutine(obj)): + cont.append(nm) + else: + cont = [nm for nm in localnames if nm not in skipnames] + + self.content = cont + + # for some reason, even though ``currentmodule`` is substituted in, + # sphinx doesn't necessarily recognize this fact. So we just force + # it internally, and that seems to fix things + env.temp_data['py:module'] = modname + env.ref_context['py:module'] = modname + + # can't use super because Sphinx/docutils has trouble return + # super(Autosummary,self).run() + nodelist.extend(Autosummary.run(self)) + + return self.warnings + nodelist + finally: # has_content = False for the Automodsumm + self.content = [] + + def get_items(self, names): + self.genopt['imported-members'] = True + return Autosummary.get_items(self, names) + + +# <-------------------automod-diagram stuff-----------------------------------> +class Automoddiagram(InheritanceDiagram): + + option_spec = dict(InheritanceDiagram.option_spec) + option_spec['allowed-package-names'] = _str_list_converter + option_spec['skip'] = _str_list_converter + + def run(self): + try: + ols = self.options.get('allowed-package-names', []) + ols = True if len(ols) == 0 else ols # if none are given, assume only local + + nms, objs = find_mod_objs(self.arguments[0], onlylocals=ols)[1:] + except ImportError: + self.warnings = [] + self.warn("Couldn't import module " + self.arguments[0]) + return self.warnings + + # Check if some classes should be skipped + skip = self.options.get('skip', []) + + clsnms = [] + for n, o in zip(nms, objs): + + if n.split('.')[-1] in skip: + continue + + if inspect.isclass(o): + clsnms.append(n) + + oldargs = self.arguments + try: + if len(clsnms) > 0: + self.arguments = [' '.join(clsnms)] + return InheritanceDiagram.run(self) + finally: + self.arguments = oldargs + + +# <---------------------automodsumm generation stuff--------------------------> +def process_automodsumm_generation(app): + env = app.builder.env + + filestosearch = [] + for docname in env.found_docs: + filename = env.doc2path(docname) + if os.path.isfile(filename): + filestosearch.append(docname + os.path.splitext(filename)[1]) + + liness = [] + for sfn in filestosearch: + lines = automodsumm_to_autosummary_lines(sfn, app) + liness.append(lines) + if app.config.automodsumm_writereprocessed: + if lines: # empty list means no automodsumm entry is in the file + outfn = os.path.join(app.srcdir, sfn) + '.automodsumm' + with open(outfn, 'w') as f: + for l in lines: + f.write(l) + f.write('\n') + + for sfn, lines in zip(filestosearch, liness): + suffix = os.path.splitext(sfn)[1] + if len(lines) > 0: + generate_automodsumm_docs( + lines, sfn, builder=app.builder, warn=app.warn, info=app.info, + suffix=suffix, base_path=app.srcdir, + inherited_members=app.config.automodsumm_inherited_members) + +# _automodsummrex = re.compile(r'^(\s*)\.\. automodsumm::\s*([A-Za-z0-9_.]+)\s*' +# r'\n\1(\s*)(\S|$)', re.MULTILINE) +_lineendrex = r'(?:\n|$)' +_hdrex = r'^\n?(\s*)\.\. automodsumm::\s*(\S+)\s*' + _lineendrex +_oprex1 = r'(?:\1(\s+)\S.*' + _lineendrex + ')' +_oprex2 = r'(?:\1\4\S.*' + _lineendrex + ')' +_automodsummrex = re.compile(_hdrex + '(' + _oprex1 + '?' + _oprex2 + '*)', + re.MULTILINE) + + +def automodsumm_to_autosummary_lines(fn, app): + """ + Generates lines from a file with an "automodsumm" entry suitable for + feeding into "autosummary". + + Searches the provided file for `automodsumm` directives and returns + a list of lines specifying the `autosummary` commands for the modules + requested. This does *not* return the whole file contents - just an + autosummary section in place of any :automodsumm: entries. Note that + any options given for `automodsumm` are also included in the + generated `autosummary` section. + + Parameters + ---------- + fn : str + The name of the file to search for `automodsumm` entries. + app : sphinx.application.Application + The sphinx Application object + + Return + ------ + lines : list of str + Lines for all `automodsumm` entries with the entries replaced by + `autosummary` and the module's members added. + + + """ + + fullfn = os.path.join(app.builder.env.srcdir, fn) + + with io.open(fullfn, encoding='utf8') as fr: + # Note: we use __name__ here instead of just writing the module name in + # case this extension is bundled into another package + from . import automodapi + + try: + extensions = app.extensions + except AttributeError: # Sphinx <1.6 + extensions = app._extensions + + if automodapi.__name__ in extensions: + # Must do the automodapi on the source to get the automodsumm + # that might be in there + docname = os.path.splitext(fn)[0] + filestr = automodapi.automodapi_replace(fr.read(), app, True, docname, False) + else: + filestr = fr.read() + + spl = _automodsummrex.split(filestr) + # 0th entry is the stuff before the first automodsumm line + indent1s = spl[1::5] + mods = spl[2::5] + opssecs = spl[3::5] + indent2s = spl[4::5] + remainders = spl[5::5] + + # only grab automodsumm sections and convert them to autosummary with the + # entries for all the public objects + newlines = [] + + # loop over all automodsumms in this document + for i, (i1, i2, modnm, ops, rem) in enumerate(zip(indent1s, indent2s, mods, + opssecs, remainders)): + allindent = i1 + (' ' if i2 is None else i2) + + # filter out functions-only, classes-only, and ariables-only + # options if present. + oplines = ops.split('\n') + toskip = [] + allowedpkgnms = [] + funcsonly = clssonly = varsonly = False + for i, ln in reversed(list(enumerate(oplines))): + if ':functions-only:' in ln: + funcsonly = True + del oplines[i] + if ':classes-only:' in ln: + clssonly = True + del oplines[i] + if ':variables-only:' in ln: + varsonly = True + del oplines[i] + if ':skip:' in ln: + toskip.extend(_str_list_converter(ln.replace(':skip:', ''))) + del oplines[i] + if ':allowed-package-names:' in ln: + allowedpkgnms.extend(_str_list_converter(ln.replace(':allowed-package-names:', ''))) + del oplines[i] + if [funcsonly, clssonly, varsonly].count(True) > 1: + msg = ('Defined more than one of functions-only, classes-only, ' + 'and variables-only. Skipping this directive.') + lnnum = sum([spl[j].count('\n') for j in range(i * 5 + 1)]) + app.warn('[automodsumm]' + msg, (fn, lnnum)) + continue + + # Use the currentmodule directive so we can just put the local names + # in the autosummary table. Note that this doesn't always seem to + # actually "take" in Sphinx's eyes, so in `Automodsumm.run`, we have to + # force it internally, as well. + newlines.extend([i1 + '.. currentmodule:: ' + modnm, + '', + '.. autosummary::']) + newlines.extend(oplines) + + ols = True if len(allowedpkgnms) == 0 else allowedpkgnms + for nm, fqn, obj in zip(*find_mod_objs(modnm, onlylocals=ols)): + if nm in toskip: + continue + if funcsonly and not inspect.isroutine(obj): + continue + if clssonly and not inspect.isclass(obj): + continue + if varsonly and (inspect.isclass(obj) or inspect.isroutine(obj)): + continue + newlines.append(allindent + nm) + + # add one newline at the end of the autosummary block + newlines.append('') + + return newlines + + +def generate_automodsumm_docs(lines, srcfn, suffix='.rst', warn=None, + info=None, base_path=None, builder=None, + template_dir=None, + inherited_members=False): + """ + This function is adapted from + `sphinx.ext.autosummary.generate.generate_autosummmary_docs` to + generate source for the automodsumm directives that should be + autosummarized. Unlike generate_autosummary_docs, this function is + called one file at a time. + """ + + from sphinx.jinja2glue import BuiltinTemplateLoader + from sphinx.ext.autosummary import import_by_name, get_documenter + from sphinx.ext.autosummary.generate import (_simple_info, _simple_warn) + from sphinx.util.osutil import ensuredir + from sphinx.util.inspect import safe_getattr + from jinja2 import FileSystemLoader, TemplateNotFound + from jinja2.sandbox import SandboxedEnvironment + + from .utils import find_autosummary_in_lines_for_automodsumm as find_autosummary_in_lines + + if info is None: + info = _simple_info + if warn is None: + warn = _simple_warn + + # info('[automodsumm] generating automodsumm for: ' + srcfn) + + # Create our own templating environment - here we use Astropy's + # templates rather than the default autosummary templates, in order to + # allow docstrings to be shown for methods. + template_dirs = [os.path.join(os.path.dirname(__file__), 'templates'), + os.path.join(base_path, '_templates')] + if builder is not None: + # allow the user to override the templates + template_loader = BuiltinTemplateLoader() + template_loader.init(builder, dirs=template_dirs) + else: + if template_dir: + template_dirs.insert(0, template_dir) + template_loader = FileSystemLoader(template_dirs) + template_env = SandboxedEnvironment(loader=template_loader) + + # read + # items = find_autosummary_in_files(sources) + items = find_autosummary_in_lines(lines, filename=srcfn) + if len(items) > 0: + msg = '[automodsumm] {1}: found {0} automodsumm entries to generate' + info(msg.format(len(items), srcfn)) + +# gennms = [item[0] for item in items] +# if len(gennms) > 20: +# gennms = gennms[:10] + ['...'] + gennms[-10:] +# info('[automodsumm] generating autosummary for: ' + ', '.join(gennms)) + + # remove possible duplicates + items = list(set(items)) + + # keep track of new files + new_files = [] + + # write + for name, path, template_name, inherited_mem in sorted(items): + + if path is None: + # The corresponding autosummary:: directive did not have + # a :toctree: option + continue + + path = os.path.abspath(os.path.join(base_path, path)) + ensuredir(path) + + try: + import_by_name_values = import_by_name(name) + except ImportError as e: + warn('[automodsumm] failed to import %r: %s' % (name, e)) + continue + + # if block to accommodate Sphinx's v1.2.2 and v1.2.3 respectively + if len(import_by_name_values) == 3: + name, obj, parent = import_by_name_values + elif len(import_by_name_values) == 4: + name, obj, parent, module_name = import_by_name_values + + fn = os.path.join(path, name + suffix) + + # skip it if it exists + if os.path.isfile(fn): + continue + + new_files.append(fn) + + f = open(fn, 'w') + + try: + doc = get_documenter(obj, parent) + + if template_name is not None: + template = template_env.get_template(template_name) + else: + tmplstr = 'autosummary_core/%s.rst' + try: + template = template_env.get_template(tmplstr % doc.objtype) + except TemplateNotFound: + template = template_env.get_template(tmplstr % 'base') + + def get_members_mod(obj, typ, include_public=[]): + """ + typ = None -> all + """ + items = [] + for name in dir(obj): + try: + documenter = get_documenter(safe_getattr(obj, name), + obj) + except AttributeError: + continue + if typ is None or documenter.objtype == typ: + items.append(name) + public = [x for x in items + if x in include_public or not x.startswith('_')] + return public, items + + def get_members_class(obj, typ, include_public=[], + include_base=False): + """ + typ = None -> all + include_base -> include attrs that are from a base class + """ + items = [] + + # using dir gets all of the attributes, including the elements + # from the base class, otherwise use __slots__ or __dict__ + if include_base: + names = dir(obj) + else: + if hasattr(obj, '__slots__'): + names = tuple(getattr(obj, '__slots__')) + else: + names = getattr(obj, '__dict__').keys() + + for name in names: + try: + documenter = get_documenter(safe_getattr(obj, name), + obj) + except AttributeError: + continue + if typ is None or documenter.objtype == typ: + items.append(name) + public = [x for x in items + if x in include_public or not x.startswith('_')] + return public, items + + ns = {} + + if doc.objtype == 'module': + ns['members'] = get_members_mod(obj, None) + ns['functions'], ns['all_functions'] = \ + get_members_mod(obj, 'function') + ns['classes'], ns['all_classes'] = \ + get_members_mod(obj, 'class') + ns['exceptions'], ns['all_exceptions'] = \ + get_members_mod(obj, 'exception') + elif doc.objtype == 'class': + if inherited_mem is not None: + # option set in this specifc directive + include_base = inherited_mem + else: + # use default value + include_base = inherited_members + + api_class_methods = ['__init__', '__call__'] + ns['members'] = get_members_class(obj, None, + include_base=include_base) + ns['methods'], ns['all_methods'] = \ + get_members_class(obj, 'method', api_class_methods, + include_base=include_base) + ns['attributes'], ns['all_attributes'] = \ + get_members_class(obj, 'attribute', + include_base=include_base) + ns['methods'].sort() + ns['attributes'].sort() + + parts = name.split('.') + if doc.objtype in ('method', 'attribute'): + mod_name = '.'.join(parts[:-2]) + cls_name = parts[-2] + obj_name = '.'.join(parts[-2:]) + ns['class'] = cls_name + else: + mod_name, obj_name = '.'.join(parts[:-1]), parts[-1] + + ns['fullname'] = name + ns['module'] = mod_name + ns['objname'] = obj_name + ns['name'] = parts[-1] + + ns['objtype'] = doc.objtype + ns['underline'] = len(obj_name) * '=' + + # We now check whether a file for reference footnotes exists for + # the module being documented. We first check if the + # current module is a file or a directory, as this will give a + # different path for the reference file. For example, if + # documenting astropy.wcs then the reference file is at + # ../wcs/references.txt, while if we are documenting + # astropy.config.logging_helper (which is at + # astropy/config/logging_helper.py) then the reference file is set + # to ../config/references.txt + if '.' in mod_name: + mod_name_dir = mod_name.replace('.', '/').split('/', 1)[1] + else: + mod_name_dir = mod_name + if not os.path.isdir(os.path.join(base_path, mod_name_dir)) \ + and os.path.isdir(os.path.join(base_path, mod_name_dir.rsplit('/', 1)[0])): + mod_name_dir = mod_name_dir.rsplit('/', 1)[0] + + # We then have to check whether it exists, and if so, we pass it + # to the template. + if os.path.exists(os.path.join(base_path, mod_name_dir, 'references.txt')): + # An important subtlety here is that the path we pass in has + # to be relative to the file being generated, so we have to + # figure out the right number of '..'s + ndirsback = path.replace(base_path, '').count('/') + ref_file_rel_segments = ['..'] * ndirsback + ref_file_rel_segments.append(mod_name_dir) + ref_file_rel_segments.append('references.txt') + ns['referencefile'] = os.path.join(*ref_file_rel_segments) + + rendered = template.render(**ns) + f.write(cleanup_whitespace(rendered)) + finally: + f.close() + + +def setup(app): + + # need autodoc fixes + # Note: we use __name__ here instead of just writing the module name in + # case this extension is bundled into another package + from . import autodoc_enhancements + app.setup_extension(autodoc_enhancements.__name__) + + # need inheritance-diagram for automod-diagram + app.setup_extension('sphinx.ext.inheritance_diagram') + + app.add_directive('automod-diagram', Automoddiagram) + app.add_directive('automodsumm', Automodsumm) + app.connect('builder-inited', process_automodsumm_generation) + + app.add_config_value('automodsumm_writereprocessed', False, True) + app.add_config_value('automodsumm_inherited_members', False, 'env') diff --git a/astropy_helpers/astropy_helpers/extern/automodapi/smart_resolver.py b/astropy_helpers/astropy_helpers/extern/automodapi/smart_resolver.py new file mode 100644 index 00000000..97df9da1 --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/automodapi/smart_resolver.py @@ -0,0 +1,92 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst +""" +The classes in the astropy docs are documented by their API location, +which is not necessarily where they are defined in the source. This +causes a problem when certain automated features of the doc build, +such as the inheritance diagrams or the `Bases` list of a class +reference a class by its canonical location rather than its "user" +location. + +In the `autodoc-process-docstring` event, a mapping from the actual +name to the API name is maintained. Later, in the `missing-reference` +event, unresolved references are looked up in this dictionary and +corrected if possible. +""" + +from docutils.nodes import literal, reference + + +def process_docstring(app, what, name, obj, options, lines): + if isinstance(obj, type): + env = app.env + if not hasattr(env, 'class_name_mapping'): + env.class_name_mapping = {} + mapping = env.class_name_mapping + mapping[obj.__module__ + '.' + obj.__name__] = name + + +def missing_reference_handler(app, env, node, contnode): + if not hasattr(env, 'class_name_mapping'): + env.class_name_mapping = {} + mapping = env.class_name_mapping + reftype = node['reftype'] + reftarget = node['reftarget'] + if reftype in ('obj', 'class', 'exc', 'meth'): + reftarget = node['reftarget'] + suffix = '' + if reftarget not in mapping: + if '.' in reftarget: + front, suffix = reftarget.rsplit('.', 1) + else: + suffix = reftarget + + if suffix.startswith('_') and not suffix.startswith('__'): + # If this is a reference to a hidden class or method, + # we can't link to it, but we don't want to have a + # nitpick warning. + return node[0].deepcopy() + + if reftype in ('obj', 'meth') and '.' in reftarget: + if front in mapping: + reftarget = front + suffix = '.' + suffix + + if (reftype in ('class', ) and '.' in reftarget and + reftarget not in mapping): + + if '.' in front: + reftarget, _ = front.rsplit('.', 1) + suffix = '.' + suffix + reftarget = reftarget + suffix + prefix = reftarget.rsplit('.')[0] + inventory = env.intersphinx_named_inventory + if (reftarget not in mapping and + prefix in inventory): + + if reftarget in inventory[prefix]['py:class']: + newtarget = inventory[prefix]['py:class'][reftarget][2] + if not node['refexplicit'] and \ + '~' not in node.rawsource: + contnode = literal(text=reftarget) + newnode = reference('', '', internal=True) + newnode['reftitle'] = reftarget + newnode['refuri'] = newtarget + newnode.append(contnode) + + return newnode + + if reftarget in mapping: + newtarget = mapping[reftarget] + suffix + if not node['refexplicit'] and '~' not in node.rawsource: + contnode = literal(text=newtarget) + newnode = env.domains['py'].resolve_xref( + env, node['refdoc'], app.builder, 'class', newtarget, + node, contnode) + if newnode is not None: + newnode['reftitle'] = reftarget + return newnode + + +def setup(app): + app.connect('autodoc-process-docstring', process_docstring) + app.connect('missing-reference', missing_reference_handler) diff --git a/astropy_helpers/astropy_helpers/extern/automodapi/templates/autosummary_core/base.rst b/astropy_helpers/astropy_helpers/extern/automodapi/templates/autosummary_core/base.rst new file mode 100644 index 00000000..a58aa35f --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/automodapi/templates/autosummary_core/base.rst @@ -0,0 +1,10 @@ +{% if referencefile %} +.. include:: {{ referencefile }} +{% endif %} + +{{ objname }} +{{ underline }} + +.. currentmodule:: {{ module }} + +.. auto{{ objtype }}:: {{ objname }} diff --git a/astropy_helpers/astropy_helpers/extern/automodapi/templates/autosummary_core/class.rst b/astropy_helpers/astropy_helpers/extern/automodapi/templates/autosummary_core/class.rst new file mode 100644 index 00000000..85105fa8 --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/automodapi/templates/autosummary_core/class.rst @@ -0,0 +1,65 @@ +{% if referencefile %} +.. include:: {{ referencefile }} +{% endif %} + +{{ objname }} +{{ underline }} + +.. currentmodule:: {{ module }} + +.. autoclass:: {{ objname }} + :show-inheritance: + + {% if '__init__' in methods %} + {% set caught_result = methods.remove('__init__') %} + {% endif %} + + {% block attributes_summary %} + {% if attributes %} + + .. rubric:: Attributes Summary + + .. autosummary:: + {% for item in attributes %} + ~{{ name }}.{{ item }} + {%- endfor %} + + {% endif %} + {% endblock %} + + {% block methods_summary %} + {% if methods %} + + .. rubric:: Methods Summary + + .. autosummary:: + {% for item in methods %} + ~{{ name }}.{{ item }} + {%- endfor %} + + {% endif %} + {% endblock %} + + {% block attributes_documentation %} + {% if attributes %} + + .. rubric:: Attributes Documentation + + {% for item in attributes %} + .. autoattribute:: {{ item }} + {%- endfor %} + + {% endif %} + {% endblock %} + + {% block methods_documentation %} + {% if methods %} + + .. rubric:: Methods Documentation + + {% for item in methods %} + .. automethod:: {{ item }} + {%- endfor %} + + {% endif %} + {% endblock %} diff --git a/astropy_helpers/astropy_helpers/extern/automodapi/templates/autosummary_core/module.rst b/astropy_helpers/astropy_helpers/extern/automodapi/templates/autosummary_core/module.rst new file mode 100644 index 00000000..11208a25 --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/automodapi/templates/autosummary_core/module.rst @@ -0,0 +1,41 @@ +{% if referencefile %} +.. include:: {{ referencefile }} +{% endif %} + +{{ objname }} +{{ underline }} + +.. automodule:: {{ fullname }} + + {% block functions %} + {% if functions %} + .. rubric:: Functions + + .. autosummary:: + {% for item in functions %} + {{ item }} + {%- endfor %} + {% endif %} + {% endblock %} + + {% block classes %} + {% if classes %} + .. rubric:: Classes + + .. autosummary:: + {% for item in classes %} + {{ item }} + {%- endfor %} + {% endif %} + {% endblock %} + + {% block exceptions %} + {% if exceptions %} + .. rubric:: Exceptions + + .. autosummary:: + {% for item in exceptions %} + {{ item }} + {%- endfor %} + {% endif %} + {% endblock %} diff --git a/astropy_helpers/astropy_helpers/extern/automodapi/utils.py b/astropy_helpers/astropy_helpers/extern/automodapi/utils.py new file mode 100644 index 00000000..7c091766 --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/automodapi/utils.py @@ -0,0 +1,214 @@ +import inspect +import sys +import re +import os +from warnings import warn + +from sphinx.ext.autosummary.generate import find_autosummary_in_docstring + + +if sys.version_info[0] >= 3: + def iteritems(dictionary): + return dictionary.items() +else: + def iteritems(dictionary): + return dictionary.iteritems() + +# We use \n instead of os.linesep because even on Windows, the generated files +# use \n as the newline character. +SPACE_NEWLINE = ' \n' +SINGLE_NEWLINE = '\n' +DOUBLE_NEWLINE = '\n\n' +TRIPLE_NEWLINE = '\n\n\n' + + +def cleanup_whitespace(text): + """ + Make sure there are never more than two consecutive newlines, and that + there are no trailing whitespaces. + """ + + # Get rid of overall leading/trailing whitespace + text = text.strip() + '\n' + + # Get rid of trailing whitespace on each line + while SPACE_NEWLINE in text: + text = text.replace(SPACE_NEWLINE, SINGLE_NEWLINE) + + # Avoid too many consecutive newlines + while TRIPLE_NEWLINE in text: + text = text.replace(TRIPLE_NEWLINE, DOUBLE_NEWLINE) + + return text + + +def find_mod_objs(modname, onlylocals=False): + """ Returns all the public attributes of a module referenced by name. + + .. note:: + The returned list *not* include subpackages or modules of + `modname`,nor does it include private attributes (those that + beginwith '_' or are not in `__all__`). + + Parameters + ---------- + modname : str + The name of the module to search. + onlylocals : bool + If True, only attributes that are either members of `modname` OR one of + its modules or subpackages will be included. + + Returns + ------- + localnames : list of str + A list of the names of the attributes as they are named in the + module `modname` . + fqnames : list of str + A list of the full qualified names of the attributes (e.g., + ``astropy.utils.misc.find_mod_objs``). For attributes that are + simple variables, this is based on the local name, but for + functions or classes it can be different if they are actually + defined elsewhere and just referenced in `modname`. + objs : list of objects + A list of the actual attributes themselves (in the same order as + the other arguments) + + """ + + __import__(modname) + mod = sys.modules[modname] + + if hasattr(mod, '__all__'): + pkgitems = [(k, mod.__dict__[k]) for k in mod.__all__] + else: + pkgitems = [(k, mod.__dict__[k]) for k in dir(mod) if k[0] != '_'] + + # filter out modules and pull the names and objs out + ismodule = inspect.ismodule + localnames = [k for k, v in pkgitems if not ismodule(v)] + objs = [v for k, v in pkgitems if not ismodule(v)] + + # fully qualified names can be determined from the object's module + fqnames = [] + for obj, lnm in zip(objs, localnames): + if hasattr(obj, '__module__') and hasattr(obj, '__name__'): + fqnames.append(obj.__module__ + '.' + obj.__name__) + else: + fqnames.append(modname + '.' + lnm) + + if onlylocals: + valids = [fqn.startswith(modname) for fqn in fqnames] + localnames = [e for i, e in enumerate(localnames) if valids[i]] + fqnames = [e for i, e in enumerate(fqnames) if valids[i]] + objs = [e for i, e in enumerate(objs) if valids[i]] + + return localnames, fqnames, objs + + +def find_autosummary_in_lines_for_automodsumm(lines, module=None, filename=None): + """Find out what items appear in autosummary:: directives in the + given lines. + Returns a list of (name, toctree, template, inherited_members) + where *name* is a name + of an object and *toctree* the :toctree: path of the corresponding + autosummary directive (relative to the root of the file name), + *template* the value of the :template: option, and *inherited_members* + is the value of the :inherited-members: option. + *toctree*, *template*, and *inherited_members* are ``None`` if the + directive does not have the corresponding options set. + + .. note:: + + This is a slightly modified version of + ``sphinx.ext.autosummary.generate.find_autosummary_in_lines`` + which recognizes the ``inherited-members`` option. + """ + autosummary_re = re.compile(r'^(\s*)\.\.\s+autosummary::\s*') + automodule_re = re.compile( + r'^\s*\.\.\s+automodule::\s*([A-Za-z0-9_.]+)\s*$') + module_re = re.compile( + r'^\s*\.\.\s+(current)?module::\s*([a-zA-Z0-9_.]+)\s*$') + autosummary_item_re = re.compile(r'^\s+(~?[_a-zA-Z][a-zA-Z0-9_.]*)\s*.*?') + toctree_arg_re = re.compile(r'^\s+:toctree:\s*(.*?)\s*$') + template_arg_re = re.compile(r'^\s+:template:\s*(.*?)\s*$') + inherited_members_arg_re = re.compile(r'^\s+:inherited-members:\s*$') + no_inherited_members_arg_re = re.compile(r'^\s+:no-inherited-members:\s*$') + + documented = [] + + toctree = None + template = None + inherited_members = None + current_module = module + in_autosummary = False + base_indent = "" + + for line in lines: + if in_autosummary: + m = toctree_arg_re.match(line) + if m: + toctree = m.group(1) + if filename: + toctree = os.path.join(os.path.dirname(filename), + toctree) + continue + + m = template_arg_re.match(line) + if m: + template = m.group(1).strip() + continue + + m = inherited_members_arg_re.match(line) + if m: + inherited_members = True + continue + + m = no_inherited_members_arg_re.match(line) + if m: + inherited_members = False + continue + + if line.strip().startswith(':'): + warn(line) + continue # skip options + + m = autosummary_item_re.match(line) + if m: + name = m.group(1).strip() + if name.startswith('~'): + name = name[1:] + if current_module and \ + not name.startswith(current_module + '.'): + name = "%s.%s" % (current_module, name) + documented.append((name, toctree, template, + inherited_members)) + continue + + if not line.strip() or line.startswith(base_indent + " "): + continue + + in_autosummary = False + + m = autosummary_re.match(line) + if m: + in_autosummary = True + base_indent = m.group(1) + toctree = None + template = None + inherited_members = None + continue + + m = automodule_re.search(line) + if m: + current_module = m.group(1).strip() + # recurse into the automodule docstring + documented.extend(find_autosummary_in_docstring( + current_module, filename=filename)) + continue + + m = module_re.match(line) + if m: + current_module = m.group(2) + continue + + return documented diff --git a/astropy_helpers/astropy_helpers/extern/numpydoc/__init__.py b/astropy_helpers/astropy_helpers/extern/numpydoc/__init__.py new file mode 100644 index 00000000..0506cf5d --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/numpydoc/__init__.py @@ -0,0 +1,5 @@ +from __future__ import division, absolute_import, print_function + +__version__ = '0.7.0' + +from .numpydoc import setup diff --git a/astropy_helpers/astropy_helpers/extern/numpydoc/docscrape.py b/astropy_helpers/astropy_helpers/extern/numpydoc/docscrape.py new file mode 100644 index 00000000..074a7f73 --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/numpydoc/docscrape.py @@ -0,0 +1,603 @@ +"""Extract reference documentation from the NumPy source tree. + +""" +from __future__ import division, absolute_import, print_function + +import inspect +import textwrap +import re +import pydoc +from warnings import warn +import collections +import copy +import sys + + +class Reader(object): + """A line-based string reader. + + """ + def __init__(self, data): + """ + Parameters + ---------- + data : str + String with lines separated by '\n'. + + """ + if isinstance(data, list): + self._str = data + else: + self._str = data.split('\n') # store string as list of lines + + self.reset() + + def __getitem__(self, n): + return self._str[n] + + def reset(self): + self._l = 0 # current line nr + + def read(self): + if not self.eof(): + out = self[self._l] + self._l += 1 + return out + else: + return '' + + def seek_next_non_empty_line(self): + for l in self[self._l:]: + if l.strip(): + break + else: + self._l += 1 + + def eof(self): + return self._l >= len(self._str) + + def read_to_condition(self, condition_func): + start = self._l + for line in self[start:]: + if condition_func(line): + return self[start:self._l] + self._l += 1 + if self.eof(): + return self[start:self._l+1] + return [] + + def read_to_next_empty_line(self): + self.seek_next_non_empty_line() + + def is_empty(line): + return not line.strip() + + return self.read_to_condition(is_empty) + + def read_to_next_unindented_line(self): + def is_unindented(line): + return (line.strip() and (len(line.lstrip()) == len(line))) + return self.read_to_condition(is_unindented) + + def peek(self, n=0): + if self._l + n < len(self._str): + return self[self._l + n] + else: + return '' + + def is_empty(self): + return not ''.join(self._str).strip() + + +class ParseError(Exception): + def __str__(self): + message = self.args[0] + if hasattr(self, 'docstring'): + message = "%s in %r" % (message, self.docstring) + return message + + +class NumpyDocString(collections.Mapping): + sections = { + 'Signature': '', + 'Summary': [''], + 'Extended Summary': [], + 'Parameters': [], + 'Returns': [], + 'Yields': [], + 'Raises': [], + 'Warns': [], + 'Other Parameters': [], + 'Attributes': [], + 'Methods': [], + 'See Also': [], + 'Notes': [], + 'Warnings': [], + 'References': '', + 'Examples': '', + 'index': {} + } + + def __init__(self, docstring, config={}): + orig_docstring = docstring + docstring = textwrap.dedent(docstring).split('\n') + + self._doc = Reader(docstring) + self._parsed_data = copy.deepcopy(self.sections) + + try: + self._parse() + except ParseError as e: + e.docstring = orig_docstring + raise + + def __getitem__(self, key): + return self._parsed_data[key] + + def __setitem__(self, key, val): + if key not in self._parsed_data: + warn("Unknown section %s" % key) + else: + self._parsed_data[key] = val + + def __iter__(self): + return iter(self._parsed_data) + + def __len__(self): + return len(self._parsed_data) + + def _is_at_section(self): + self._doc.seek_next_non_empty_line() + + if self._doc.eof(): + return False + + l1 = self._doc.peek().strip() # e.g. Parameters + + if l1.startswith('.. index::'): + return True + + l2 = self._doc.peek(1).strip() # ---------- or ========== + return l2.startswith('-'*len(l1)) or l2.startswith('='*len(l1)) + + def _strip(self, doc): + i = 0 + j = 0 + for i, line in enumerate(doc): + if line.strip(): + break + + for j, line in enumerate(doc[::-1]): + if line.strip(): + break + + return doc[i:len(doc)-j] + + def _read_to_next_section(self): + section = self._doc.read_to_next_empty_line() + + while not self._is_at_section() and not self._doc.eof(): + if not self._doc.peek(-1).strip(): # previous line was empty + section += [''] + + section += self._doc.read_to_next_empty_line() + + return section + + def _read_sections(self): + while not self._doc.eof(): + data = self._read_to_next_section() + name = data[0].strip() + + if name.startswith('..'): # index section + yield name, data[1:] + elif len(data) < 2: + yield StopIteration + else: + yield name, self._strip(data[2:]) + + def _parse_param_list(self, content): + r = Reader(content) + params = [] + while not r.eof(): + header = r.read().strip() + if ' : ' in header: + arg_name, arg_type = header.split(' : ')[:2] + else: + arg_name, arg_type = header, '' + + desc = r.read_to_next_unindented_line() + desc = dedent_lines(desc) + + params.append((arg_name, arg_type, desc)) + + return params + + _name_rgx = re.compile(r"^\s*(:(?P\w+):`(?P[a-zA-Z0-9_.-]+)`|" + r" (?P[a-zA-Z0-9_.-]+))\s*", re.X) + + def _parse_see_also(self, content): + """ + func_name : Descriptive text + continued text + another_func_name : Descriptive text + func_name1, func_name2, :meth:`func_name`, func_name3 + + """ + items = [] + + def parse_item_name(text): + """Match ':role:`name`' or 'name'""" + m = self._name_rgx.match(text) + if m: + g = m.groups() + if g[1] is None: + return g[3], None + else: + return g[2], g[1] + raise ParseError("%s is not a item name" % text) + + def push_item(name, rest): + if not name: + return + name, role = parse_item_name(name) + items.append((name, list(rest), role)) + del rest[:] + + current_func = None + rest = [] + + for line in content: + if not line.strip(): + continue + + m = self._name_rgx.match(line) + if m and line[m.end():].strip().startswith(':'): + push_item(current_func, rest) + current_func, line = line[:m.end()], line[m.end():] + rest = [line.split(':', 1)[1].strip()] + if not rest[0]: + rest = [] + elif not line.startswith(' '): + push_item(current_func, rest) + current_func = None + if ',' in line: + for func in line.split(','): + if func.strip(): + push_item(func, []) + elif line.strip(): + current_func = line + elif current_func is not None: + rest.append(line.strip()) + push_item(current_func, rest) + return items + + def _parse_index(self, section, content): + """ + .. index: default + :refguide: something, else, and more + + """ + def strip_each_in(lst): + return [s.strip() for s in lst] + + out = {} + section = section.split('::') + if len(section) > 1: + out['default'] = strip_each_in(section[1].split(','))[0] + for line in content: + line = line.split(':') + if len(line) > 2: + out[line[1]] = strip_each_in(line[2].split(',')) + return out + + def _parse_summary(self): + """Grab signature (if given) and summary""" + if self._is_at_section(): + return + + # If several signatures present, take the last one + while True: + summary = self._doc.read_to_next_empty_line() + summary_str = " ".join([s.strip() for s in summary]).strip() + if re.compile('^([\w., ]+=)?\s*[\w\.]+\(.*\)$').match(summary_str): + self['Signature'] = summary_str + if not self._is_at_section(): + continue + break + + if summary is not None: + self['Summary'] = summary + + if not self._is_at_section(): + self['Extended Summary'] = self._read_to_next_section() + + def _parse(self): + self._doc.reset() + self._parse_summary() + + sections = list(self._read_sections()) + section_names = set([section for section, content in sections]) + + has_returns = 'Returns' in section_names + has_yields = 'Yields' in section_names + # We could do more tests, but we are not. Arbitrarily. + if has_returns and has_yields: + msg = 'Docstring contains both a Returns and Yields section.' + raise ValueError(msg) + + for (section, content) in sections: + if not section.startswith('..'): + section = (s.capitalize() for s in section.split(' ')) + section = ' '.join(section) + if self.get(section): + if hasattr(self, '_obj'): + # we know where the docs came from: + try: + filename = inspect.getsourcefile(self._obj) + except TypeError: + filename = None + msg = ("The section %s appears twice in " + "the docstring of %s in %s." % + (section, self._obj, filename)) + raise ValueError(msg) + else: + msg = ("The section %s appears twice" % section) + raise ValueError(msg) + + if section in ('Parameters', 'Returns', 'Yields', 'Raises', + 'Warns', 'Other Parameters', 'Attributes', + 'Methods'): + self[section] = self._parse_param_list(content) + elif section.startswith('.. index::'): + self['index'] = self._parse_index(section, content) + elif section == 'See Also': + self['See Also'] = self._parse_see_also(content) + else: + self[section] = content + + # string conversion routines + + def _str_header(self, name, symbol='-'): + return [name, len(name)*symbol] + + def _str_indent(self, doc, indent=4): + out = [] + for line in doc: + out += [' '*indent + line] + return out + + def _str_signature(self): + if self['Signature']: + return [self['Signature'].replace('*', '\*')] + [''] + else: + return [''] + + def _str_summary(self): + if self['Summary']: + return self['Summary'] + [''] + else: + return [] + + def _str_extended_summary(self): + if self['Extended Summary']: + return self['Extended Summary'] + [''] + else: + return [] + + def _str_param_list(self, name): + out = [] + if self[name]: + out += self._str_header(name) + for param, param_type, desc in self[name]: + if param_type: + out += ['%s : %s' % (param, param_type)] + else: + out += [param] + out += self._str_indent(desc) + out += [''] + return out + + def _str_section(self, name): + out = [] + if self[name]: + out += self._str_header(name) + out += self[name] + out += [''] + return out + + def _str_see_also(self, func_role): + if not self['See Also']: + return [] + out = [] + out += self._str_header("See Also") + last_had_desc = True + for func, desc, role in self['See Also']: + if role: + link = ':%s:`%s`' % (role, func) + elif func_role: + link = ':%s:`%s`' % (func_role, func) + else: + link = "`%s`_" % func + if desc or last_had_desc: + out += [''] + out += [link] + else: + out[-1] += ", %s" % link + if desc: + out += self._str_indent([' '.join(desc)]) + last_had_desc = True + else: + last_had_desc = False + out += [''] + return out + + def _str_index(self): + idx = self['index'] + out = [] + out += ['.. index:: %s' % idx.get('default', '')] + for section, references in idx.items(): + if section == 'default': + continue + out += [' :%s: %s' % (section, ', '.join(references))] + return out + + def __str__(self, func_role=''): + out = [] + out += self._str_signature() + out += self._str_summary() + out += self._str_extended_summary() + for param_list in ('Parameters', 'Returns', 'Yields', + 'Other Parameters', 'Raises', 'Warns'): + out += self._str_param_list(param_list) + out += self._str_section('Warnings') + out += self._str_see_also(func_role) + for s in ('Notes', 'References', 'Examples'): + out += self._str_section(s) + for param_list in ('Attributes', 'Methods'): + out += self._str_param_list(param_list) + out += self._str_index() + return '\n'.join(out) + + +def indent(str, indent=4): + indent_str = ' '*indent + if str is None: + return indent_str + lines = str.split('\n') + return '\n'.join(indent_str + l for l in lines) + + +def dedent_lines(lines): + """Deindent a list of lines maximally""" + return textwrap.dedent("\n".join(lines)).split("\n") + + +def header(text, style='-'): + return text + '\n' + style*len(text) + '\n' + + +class FunctionDoc(NumpyDocString): + def __init__(self, func, role='func', doc=None, config={}): + self._f = func + self._role = role # e.g. "func" or "meth" + + if doc is None: + if func is None: + raise ValueError("No function or docstring given") + doc = inspect.getdoc(func) or '' + NumpyDocString.__init__(self, doc) + + if not self['Signature'] and func is not None: + func, func_name = self.get_func() + try: + try: + signature = str(inspect.signature(func)) + except (AttributeError, ValueError): + # try to read signature, backward compat for older Python + if sys.version_info[0] >= 3: + argspec = inspect.getfullargspec(func) + else: + argspec = inspect.getargspec(func) + signature = inspect.formatargspec(*argspec) + signature = '%s%s' % (func_name, signature.replace('*', '\*')) + except TypeError: + signature = '%s()' % func_name + self['Signature'] = signature + + def get_func(self): + func_name = getattr(self._f, '__name__', self.__class__.__name__) + if inspect.isclass(self._f): + func = getattr(self._f, '__call__', self._f.__init__) + else: + func = self._f + return func, func_name + + def __str__(self): + out = '' + + func, func_name = self.get_func() + signature = self['Signature'].replace('*', '\*') + + roles = {'func': 'function', + 'meth': 'method'} + + if self._role: + if self._role not in roles: + print("Warning: invalid role %s" % self._role) + out += '.. %s:: %s\n \n\n' % (roles.get(self._role, ''), + func_name) + + out += super(FunctionDoc, self).__str__(func_role=self._role) + return out + + +class ClassDoc(NumpyDocString): + + extra_public_methods = ['__call__'] + + def __init__(self, cls, doc=None, modulename='', func_doc=FunctionDoc, + config={}): + if not inspect.isclass(cls) and cls is not None: + raise ValueError("Expected a class or None, but got %r" % cls) + self._cls = cls + + self.show_inherited_members = config.get( + 'show_inherited_class_members', True) + + if modulename and not modulename.endswith('.'): + modulename += '.' + self._mod = modulename + + if doc is None: + if cls is None: + raise ValueError("No class or documentation string given") + doc = pydoc.getdoc(cls) + + NumpyDocString.__init__(self, doc) + + if config.get('show_class_members', True): + def splitlines_x(s): + if not s: + return [] + else: + return s.splitlines() + + for field, items in [('Methods', self.methods), + ('Attributes', self.properties)]: + if not self[field]: + doc_list = [] + for name in sorted(items): + try: + doc_item = pydoc.getdoc(getattr(self._cls, name)) + doc_list.append((name, '', splitlines_x(doc_item))) + except AttributeError: + pass # method doesn't exist + self[field] = doc_list + + @property + def methods(self): + if self._cls is None: + return [] + return [name for name, func in inspect.getmembers(self._cls) + if ((not name.startswith('_') + or name in self.extra_public_methods) + and isinstance(func, collections.Callable) + and self._is_show_member(name))] + + @property + def properties(self): + if self._cls is None: + return [] + return [name for name, func in inspect.getmembers(self._cls) + if (not name.startswith('_') and + (func is None or isinstance(func, property) or + inspect.isgetsetdescriptor(func)) + and self._is_show_member(name))] + + def _is_show_member(self, name): + if self.show_inherited_members: + return True # show all class members + if name not in self._cls.__dict__: + return False # class member is inherited, we do not show it + return True diff --git a/astropy_helpers/astropy_helpers/extern/numpydoc/docscrape_sphinx.py b/astropy_helpers/astropy_helpers/extern/numpydoc/docscrape_sphinx.py new file mode 100644 index 00000000..d8a495e0 --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/numpydoc/docscrape_sphinx.py @@ -0,0 +1,309 @@ +from __future__ import division, absolute_import, print_function + +import sys +import re +import inspect +import textwrap +import pydoc +import collections +import os + +from jinja2 import FileSystemLoader +from jinja2.sandbox import SandboxedEnvironment +import sphinx +from sphinx.jinja2glue import BuiltinTemplateLoader + +from .docscrape import NumpyDocString, FunctionDoc, ClassDoc + +if sys.version_info[0] >= 3: + sixu = lambda s: s +else: + sixu = lambda s: unicode(s, 'unicode_escape') + + +class SphinxDocString(NumpyDocString): + def __init__(self, docstring, config={}): + NumpyDocString.__init__(self, docstring, config=config) + self.load_config(config) + + def load_config(self, config): + self.use_plots = config.get('use_plots', False) + self.class_members_toctree = config.get('class_members_toctree', True) + self.template = config.get('template', None) + if self.template is None: + template_dirs = [os.path.join(os.path.dirname(__file__), 'templates')] + template_loader = FileSystemLoader(template_dirs) + template_env = SandboxedEnvironment(loader=template_loader) + self.template = template_env.get_template('numpydoc_docstring.rst') + + # string conversion routines + def _str_header(self, name, symbol='`'): + return ['.. rubric:: ' + name, ''] + + def _str_field_list(self, name): + return [':' + name + ':'] + + def _str_indent(self, doc, indent=4): + out = [] + for line in doc: + out += [' '*indent + line] + return out + + def _str_signature(self): + return [''] + if self['Signature']: + return ['``%s``' % self['Signature']] + [''] + else: + return [''] + + def _str_summary(self): + return self['Summary'] + [''] + + def _str_extended_summary(self): + return self['Extended Summary'] + [''] + + def _str_returns(self, name='Returns'): + out = [] + if self[name]: + out += self._str_field_list(name) + out += [''] + for param, param_type, desc in self[name]: + if param_type: + out += self._str_indent(['**%s** : %s' % (param.strip(), + param_type)]) + else: + out += self._str_indent([param.strip()]) + if desc: + out += [''] + out += self._str_indent(desc, 8) + out += [''] + return out + + def _str_param_list(self, name): + out = [] + if self[name]: + out += self._str_field_list(name) + out += [''] + for param, param_type, desc in self[name]: + if param_type: + out += self._str_indent(['**%s** : %s' % (param.strip(), + param_type)]) + else: + out += self._str_indent(['**%s**' % param.strip()]) + if desc: + out += [''] + out += self._str_indent(desc, 8) + out += [''] + return out + + @property + def _obj(self): + if hasattr(self, '_cls'): + return self._cls + elif hasattr(self, '_f'): + return self._f + return None + + def _str_member_list(self, name): + """ + Generate a member listing, autosummary:: table where possible, + and a table where not. + + """ + out = [] + if self[name]: + out += ['.. rubric:: %s' % name, ''] + prefix = getattr(self, '_name', '') + + if prefix: + prefix = '~%s.' % prefix + + autosum = [] + others = [] + for param, param_type, desc in self[name]: + param = param.strip() + + # Check if the referenced member can have a docstring or not + param_obj = getattr(self._obj, param, None) + if not (callable(param_obj) + or isinstance(param_obj, property) + or inspect.isgetsetdescriptor(param_obj)): + param_obj = None + + if param_obj and (pydoc.getdoc(param_obj) or not desc): + # Referenced object has a docstring + autosum += [" %s%s" % (prefix, param)] + else: + others.append((param, param_type, desc)) + + if autosum: + out += ['.. autosummary::'] + if self.class_members_toctree: + out += [' :toctree:'] + out += [''] + autosum + + if others: + maxlen_0 = max(3, max([len(x[0]) + 4 for x in others])) + hdr = sixu("=") * maxlen_0 + sixu(" ") + sixu("=") * 10 + fmt = sixu('%%%ds %%s ') % (maxlen_0,) + out += ['', '', hdr] + for param, param_type, desc in others: + desc = sixu(" ").join(x.strip() for x in desc).strip() + if param_type: + desc = "(%s) %s" % (param_type, desc) + out += [fmt % ("**" + param.strip() + "**", desc)] + out += [hdr] + out += [''] + return out + + def _str_section(self, name): + out = [] + if self[name]: + out += self._str_header(name) + out += [''] + content = textwrap.dedent("\n".join(self[name])).split("\n") + out += content + out += [''] + return out + + def _str_see_also(self, func_role): + out = [] + if self['See Also']: + see_also = super(SphinxDocString, self)._str_see_also(func_role) + out = ['.. seealso::', ''] + out += self._str_indent(see_also[2:]) + return out + + def _str_warnings(self): + out = [] + if self['Warnings']: + out = ['.. warning::', ''] + out += self._str_indent(self['Warnings']) + return out + + def _str_index(self): + idx = self['index'] + out = [] + if len(idx) == 0: + return out + + out += ['.. index:: %s' % idx.get('default', '')] + for section, references in idx.items(): + if section == 'default': + continue + elif section == 'refguide': + out += [' single: %s' % (', '.join(references))] + else: + out += [' %s: %s' % (section, ','.join(references))] + return out + + def _str_references(self): + out = [] + if self['References']: + out += self._str_header('References') + if isinstance(self['References'], str): + self['References'] = [self['References']] + out.extend(self['References']) + out += [''] + # Latex collects all references to a separate bibliography, + # so we need to insert links to it + if sphinx.__version__ >= "0.6": + out += ['.. only:: latex', ''] + else: + out += ['.. latexonly::', ''] + items = [] + for line in self['References']: + m = re.match(r'.. \[([a-z0-9._-]+)\]', line, re.I) + if m: + items.append(m.group(1)) + out += [' ' + ", ".join(["[%s]_" % item for item in items]), ''] + return out + + def _str_examples(self): + examples_str = "\n".join(self['Examples']) + + if (self.use_plots and 'import matplotlib' in examples_str + and 'plot::' not in examples_str): + out = [] + out += self._str_header('Examples') + out += ['.. plot::', ''] + out += self._str_indent(self['Examples']) + out += [''] + return out + else: + return self._str_section('Examples') + + def __str__(self, indent=0, func_role="obj"): + ns = { + 'signature': self._str_signature(), + 'index': self._str_index(), + 'summary': self._str_summary(), + 'extended_summary': self._str_extended_summary(), + 'parameters': self._str_param_list('Parameters'), + 'returns': self._str_returns('Returns'), + 'yields': self._str_returns('Yields'), + 'other_parameters': self._str_param_list('Other Parameters'), + 'raises': self._str_param_list('Raises'), + 'warns': self._str_param_list('Warns'), + 'warnings': self._str_warnings(), + 'see_also': self._str_see_also(func_role), + 'notes': self._str_section('Notes'), + 'references': self._str_references(), + 'examples': self._str_examples(), + 'attributes': self._str_member_list('Attributes'), + 'methods': self._str_member_list('Methods'), + } + ns = dict((k, '\n'.join(v)) for k, v in ns.items()) + + rendered = self.template.render(**ns) + return '\n'.join(self._str_indent(rendered.split('\n'), indent)) + + +class SphinxFunctionDoc(SphinxDocString, FunctionDoc): + def __init__(self, obj, doc=None, config={}): + self.load_config(config) + FunctionDoc.__init__(self, obj, doc=doc, config=config) + + +class SphinxClassDoc(SphinxDocString, ClassDoc): + def __init__(self, obj, doc=None, func_doc=None, config={}): + self.load_config(config) + ClassDoc.__init__(self, obj, doc=doc, func_doc=None, config=config) + + +class SphinxObjDoc(SphinxDocString): + def __init__(self, obj, doc=None, config={}): + self._f = obj + self.load_config(config) + SphinxDocString.__init__(self, doc, config=config) + + +def get_doc_object(obj, what=None, doc=None, config={}, builder=None): + if what is None: + if inspect.isclass(obj): + what = 'class' + elif inspect.ismodule(obj): + what = 'module' + elif isinstance(obj, collections.Callable): + what = 'function' + else: + what = 'object' + + template_dirs = [os.path.join(os.path.dirname(__file__), 'templates')] + if builder is not None: + template_loader = BuiltinTemplateLoader() + template_loader.init(builder, dirs=template_dirs) + else: + template_loader = FileSystemLoader(template_dirs) + template_env = SandboxedEnvironment(loader=template_loader) + config['template'] = template_env.get_template('numpydoc_docstring.rst') + + if what == 'class': + return SphinxClassDoc(obj, func_doc=SphinxFunctionDoc, doc=doc, + config=config) + elif what in ('function', 'method'): + return SphinxFunctionDoc(obj, doc=doc, config=config) + else: + if doc is None: + doc = pydoc.getdoc(obj) + return SphinxObjDoc(obj, doc, config=config) diff --git a/astropy_helpers/astropy_helpers/extern/numpydoc/numpydoc.py b/astropy_helpers/astropy_helpers/extern/numpydoc/numpydoc.py new file mode 100644 index 00000000..7deecc55 --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/numpydoc/numpydoc.py @@ -0,0 +1,271 @@ +""" +======== +numpydoc +======== + +Sphinx extension that handles docstrings in the Numpy standard format. [1] + +It will: + +- Convert Parameters etc. sections to field lists. +- Convert See Also section to a See also entry. +- Renumber references. +- Extract the signature from the docstring, if it can't be determined + otherwise. + +.. [1] https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt + +""" +from __future__ import division, absolute_import, print_function + +import sys +import re +import pydoc +import sphinx +import inspect +import collections + +if sphinx.__version__ < '1.0.1': + raise RuntimeError("Sphinx 1.0.1 or newer is required") + +from .docscrape_sphinx import get_doc_object, SphinxDocString + +if sys.version_info[0] >= 3: + sixu = lambda s: s +else: + sixu = lambda s: unicode(s, 'unicode_escape') + + +def rename_references(app, what, name, obj, options, lines, + reference_offset=[0]): + # replace reference numbers so that there are no duplicates + references = [] + for line in lines: + line = line.strip() + m = re.match(sixu('^.. \\[(%s)\\]') % app.config.numpydoc_citation_re, + line, re.I) + if m: + references.append(m.group(1)) + + if references: + for i, line in enumerate(lines): + for r in references: + if re.match(sixu('^\\d+$'), r): + new_r = sixu("R%d") % (reference_offset[0] + int(r)) + else: + new_r = sixu("%s%d") % (r, reference_offset[0]) + lines[i] = lines[i].replace(sixu('[%s]_') % r, + sixu('[%s]_') % new_r) + lines[i] = lines[i].replace(sixu('.. [%s]') % r, + sixu('.. [%s]') % new_r) + + reference_offset[0] += len(references) + + +def mangle_docstrings(app, what, name, obj, options, lines): + + cfg = {'use_plots': app.config.numpydoc_use_plots, + 'show_class_members': app.config.numpydoc_show_class_members, + 'show_inherited_class_members': + app.config.numpydoc_show_inherited_class_members, + 'class_members_toctree': app.config.numpydoc_class_members_toctree} + + u_NL = sixu('\n') + if what == 'module': + # Strip top title + pattern = '^\\s*[#*=]{4,}\\n[a-z0-9 -]+\\n[#*=]{4,}\\s*' + title_re = re.compile(sixu(pattern), re.I | re.S) + lines[:] = title_re.sub(sixu(''), u_NL.join(lines)).split(u_NL) + else: + doc = get_doc_object(obj, what, u_NL.join(lines), config=cfg, + builder=app.builder) + if sys.version_info[0] >= 3: + doc = str(doc) + else: + doc = unicode(doc) + lines[:] = doc.split(u_NL) + + if (app.config.numpydoc_edit_link and hasattr(obj, '__name__') and + obj.__name__): + if hasattr(obj, '__module__'): + v = dict(full_name=sixu("%s.%s") % (obj.__module__, obj.__name__)) + else: + v = dict(full_name=obj.__name__) + lines += [sixu(''), sixu('.. htmlonly::'), sixu('')] + lines += [sixu(' %s') % x for x in + (app.config.numpydoc_edit_link % v).split("\n")] + + # call function to replace reference numbers so that there are no + # duplicates + rename_references(app, what, name, obj, options, lines) + + +def mangle_signature(app, what, name, obj, options, sig, retann): + # Do not try to inspect classes that don't define `__init__` + if (inspect.isclass(obj) and + (not hasattr(obj, '__init__') or + 'initializes x; see ' in pydoc.getdoc(obj.__init__))): + return '', '' + + if not (isinstance(obj, collections.Callable) or + hasattr(obj, '__argspec_is_invalid_')): + return + + if not hasattr(obj, '__doc__'): + return + doc = SphinxDocString(pydoc.getdoc(obj)) + sig = doc['Signature'] or getattr(obj, '__text_signature__', None) + if sig: + sig = re.sub(sixu("^[^(]*"), sixu(""), sig) + return sig, sixu('') + + +def setup(app, get_doc_object_=get_doc_object): + if not hasattr(app, 'add_config_value'): + return # probably called by nose, better bail out + + global get_doc_object + get_doc_object = get_doc_object_ + + app.connect('autodoc-process-docstring', mangle_docstrings) + app.connect('autodoc-process-signature', mangle_signature) + app.add_config_value('numpydoc_edit_link', None, False) + app.add_config_value('numpydoc_use_plots', None, False) + app.add_config_value('numpydoc_show_class_members', True, True) + app.add_config_value('numpydoc_show_inherited_class_members', True, True) + app.add_config_value('numpydoc_class_members_toctree', True, True) + app.add_config_value('numpydoc_citation_re', '[a-z0-9_.-]+', True) + + # Extra mangling domains + app.add_domain(NumpyPythonDomain) + app.add_domain(NumpyCDomain) + + metadata = {'parallel_read_safe': True} + return metadata + +# ------------------------------------------------------------------------------ +# Docstring-mangling domains +# ------------------------------------------------------------------------------ + +from docutils.statemachine import ViewList +from sphinx.domains.c import CDomain +from sphinx.domains.python import PythonDomain + + +class ManglingDomainBase(object): + directive_mangling_map = {} + + def __init__(self, *a, **kw): + super(ManglingDomainBase, self).__init__(*a, **kw) + self.wrap_mangling_directives() + + def wrap_mangling_directives(self): + for name, objtype in list(self.directive_mangling_map.items()): + self.directives[name] = wrap_mangling_directive( + self.directives[name], objtype) + + +class NumpyPythonDomain(ManglingDomainBase, PythonDomain): + name = 'np' + directive_mangling_map = { + 'function': 'function', + 'class': 'class', + 'exception': 'class', + 'method': 'function', + 'classmethod': 'function', + 'staticmethod': 'function', + 'attribute': 'attribute', + } + indices = [] + + +class NumpyCDomain(ManglingDomainBase, CDomain): + name = 'np-c' + directive_mangling_map = { + 'function': 'function', + 'member': 'attribute', + 'macro': 'function', + 'type': 'class', + 'var': 'object', + } + + +def match_items(lines, content_old): + """Create items for mangled lines. + + This function tries to match the lines in ``lines`` with the items (source + file references and line numbers) in ``content_old``. The + ``mangle_docstrings`` function changes the actual docstrings, but doesn't + keep track of where each line came from. The manging does many operations + on the original lines, which are hard to track afterwards. + + Many of the line changes come from deleting or inserting blank lines. This + function tries to match lines by ignoring blank lines. All other changes + (such as inserting figures or changes in the references) are completely + ignored, so the generated line numbers will be off if ``mangle_docstrings`` + does anything non-trivial. + + This is a best-effort function and the real fix would be to make + ``mangle_docstrings`` actually keep track of the ``items`` together with + the ``lines``. + + Examples + -------- + >>> lines = ['', 'A', '', 'B', ' ', '', 'C', 'D'] + >>> lines_old = ['a', '', '', 'b', '', 'c'] + >>> items_old = [('file1.py', 0), ('file1.py', 1), ('file1.py', 2), + ... ('file2.py', 0), ('file2.py', 1), ('file2.py', 2)] + >>> content_old = ViewList(lines_old, items=items_old) + >>> match_items(lines, content_old) # doctest: +NORMALIZE_WHITESPACE + [('file1.py', 0), ('file1.py', 0), ('file2.py', 0), ('file2.py', 0), + ('file2.py', 2), ('file2.py', 2), ('file2.py', 2), ('file2.py', 2)] + >>> # first 2 ``lines`` are matched to 'a', second 2 to 'b', rest to 'c' + >>> # actual content is completely ignored. + + Notes + ----- + The algorithm tries to match any line in ``lines`` with one in + ``lines_old``. It skips over all empty lines in ``lines_old`` and assigns + this line number to all lines in ``lines``, unless a non-empty line is + found in ``lines`` in which case it goes to the next line in ``lines_old``. + + """ + items_new = [] + lines_old = content_old.data + items_old = content_old.items + j = 0 + for i, line in enumerate(lines): + # go to next non-empty line in old: + # line.strip() checks whether the string is all whitespace + while j < len(lines_old) - 1 and not lines_old[j].strip(): + j += 1 + items_new.append(items_old[j]) + if line.strip() and j < len(lines_old) - 1: + j += 1 + assert(len(items_new) == len(lines)) + return items_new + + +def wrap_mangling_directive(base_directive, objtype): + class directive(base_directive): + def run(self): + env = self.state.document.settings.env + + name = None + if self.arguments: + m = re.match(r'^(.*\s+)?(.*?)(\(.*)?', self.arguments[0]) + name = m.group(2).strip() + + if not name: + name = self.arguments[0] + + lines = list(self.content) + mangle_docstrings(env.app, objtype, name, None, None, lines) + if self.content: + items = match_items(lines, self.content) + self.content = ViewList(lines, items=items, + parent=self.content.parent) + + return base_directive.run(self) + + return directive diff --git a/astropy_helpers/astropy_helpers/extern/numpydoc/templates/numpydoc_docstring.rst b/astropy_helpers/astropy_helpers/extern/numpydoc/templates/numpydoc_docstring.rst new file mode 100644 index 00000000..1900db53 --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/numpydoc/templates/numpydoc_docstring.rst @@ -0,0 +1,16 @@ +{{index}} +{{summary}} +{{extended_summary}} +{{parameters}} +{{returns}} +{{yields}} +{{other_parameters}} +{{raises}} +{{warns}} +{{warnings}} +{{see_also}} +{{notes}} +{{references}} +{{examples}} +{{attributes}} +{{methods}} diff --git a/astropy_helpers/astropy_helpers/extern/setup_package.py b/astropy_helpers/astropy_helpers/extern/setup_package.py new file mode 100644 index 00000000..decdf7fa --- /dev/null +++ b/astropy_helpers/astropy_helpers/extern/setup_package.py @@ -0,0 +1,4 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst + +def get_package_data(): + return {'astropy_helpers.extern': ['automodapi/templates/*/*.rst', 'numpydoc/templates/*.rst']} diff --git a/astropy_helpers/astropy_helpers/git_helpers.py b/astropy_helpers/astropy_helpers/git_helpers.py new file mode 100644 index 00000000..08194da2 --- /dev/null +++ b/astropy_helpers/astropy_helpers/git_helpers.py @@ -0,0 +1,193 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst + +""" +Utilities for retrieving revision information from a project's git repository. +""" + +# Do not remove the following comment; it is used by +# astropy_helpers.version_helpers to determine the beginning of the code in +# this module + +# BEGIN + +import locale +import os +import subprocess +import warnings + + +def _decode_stdio(stream): + try: + stdio_encoding = locale.getdefaultlocale()[1] or 'utf-8' + except ValueError: + stdio_encoding = 'utf-8' + + try: + text = stream.decode(stdio_encoding) + except UnicodeDecodeError: + # Final fallback + text = stream.decode('latin1') + + return text + + +def update_git_devstr(version, path=None): + """ + Updates the git revision string if and only if the path is being imported + directly from a git working copy. This ensures that the revision number in + the version string is accurate. + """ + + try: + # Quick way to determine if we're in git or not - returns '' if not + devstr = get_git_devstr(sha=True, show_warning=False, path=path) + except OSError: + return version + + if not devstr: + # Probably not in git so just pass silently + return version + + if 'dev' in version: # update to the current git revision + version_base = version.split('.dev', 1)[0] + devstr = get_git_devstr(sha=False, show_warning=False, path=path) + + return version_base + '.dev' + devstr + else: + # otherwise it's already the true/release version + return version + + +def get_git_devstr(sha=False, show_warning=True, path=None): + """ + Determines the number of revisions in this repository. + + Parameters + ---------- + sha : bool + If True, the full SHA1 hash will be returned. Otherwise, the total + count of commits in the repository will be used as a "revision + number". + + show_warning : bool + If True, issue a warning if git returns an error code, otherwise errors + pass silently. + + path : str or None + If a string, specifies the directory to look in to find the git + repository. If `None`, the current working directory is used, and must + be the root of the git repository. + If given a filename it uses the directory containing that file. + + Returns + ------- + devversion : str + Either a string with the revision number (if `sha` is False), the + SHA1 hash of the current commit (if `sha` is True), or an empty string + if git version info could not be identified. + + """ + + if path is None: + path = os.getcwd() + + if not os.path.isdir(path): + path = os.path.abspath(os.path.dirname(path)) + + if sha: + # Faster for getting just the hash of HEAD + cmd = ['rev-parse', 'HEAD'] + else: + cmd = ['rev-list', '--count', 'HEAD'] + + def run_git(cmd): + try: + p = subprocess.Popen(['git'] + cmd, cwd=path, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + stdin=subprocess.PIPE) + stdout, stderr = p.communicate() + except OSError as e: + if show_warning: + warnings.warn('Error running git: ' + str(e)) + return (None, b'', b'') + + if p.returncode == 128: + if show_warning: + warnings.warn('No git repository present at {0!r}! Using ' + 'default dev version.'.format(path)) + return (p.returncode, b'', b'') + if p.returncode == 129: + if show_warning: + warnings.warn('Your git looks old (does it support {0}?); ' + 'consider upgrading to v1.7.2 or ' + 'later.'.format(cmd[0])) + return (p.returncode, stdout, stderr) + elif p.returncode != 0: + if show_warning: + warnings.warn('Git failed while determining revision ' + 'count: {0}'.format(_decode_stdio(stderr))) + return (p.returncode, stdout, stderr) + + return p.returncode, stdout, stderr + + returncode, stdout, stderr = run_git(cmd) + + if not sha and returncode == 128: + # git returns 128 if the command is not run from within a git + # repository tree. In this case, a warning is produced above but we + # return the default dev version of '0'. + return '0' + elif not sha and returncode == 129: + # git returns 129 if a command option failed to parse; in + # particular this could happen in git versions older than 1.7.2 + # where the --count option is not supported + # Also use --abbrev-commit and --abbrev=0 to display the minimum + # number of characters needed per-commit (rather than the full hash) + cmd = ['rev-list', '--abbrev-commit', '--abbrev=0', 'HEAD'] + returncode, stdout, stderr = run_git(cmd) + # Fall back on the old method of getting all revisions and counting + # the lines + if returncode == 0: + return str(stdout.count(b'\n')) + else: + return '' + elif sha: + return _decode_stdio(stdout)[:40] + else: + return _decode_stdio(stdout).strip() + + +# This function is tested but it is only ever executed within a subprocess when +# creating a fake package, so it doesn't get picked up by coverage metrics. +def _get_repo_path(pathname, levels=None): # pragma: no cover + """ + Given a file or directory name, determine the root of the git repository + this path is under. If given, this won't look any higher than ``levels`` + (that is, if ``levels=0`` then the given path must be the root of the git + repository and is returned if so. + + Returns `None` if the given path could not be determined to belong to a git + repo. + """ + + if os.path.isfile(pathname): + current_dir = os.path.abspath(os.path.dirname(pathname)) + elif os.path.isdir(pathname): + current_dir = os.path.abspath(pathname) + else: + return None + + current_level = 0 + + while levels is None or current_level <= levels: + if os.path.exists(os.path.join(current_dir, '.git')): + return current_dir + + current_level += 1 + if current_dir == os.path.dirname(current_dir): + break + + current_dir = os.path.dirname(current_dir) + + return None diff --git a/astropy_helpers/astropy_helpers/openmp_helpers.py b/astropy_helpers/astropy_helpers/openmp_helpers.py new file mode 100644 index 00000000..b3544381 --- /dev/null +++ b/astropy_helpers/astropy_helpers/openmp_helpers.py @@ -0,0 +1,107 @@ +# This module defines functions that can be used to check whether OpenMP is +# available and if so what flags to use. To use this, import the +# add_openmp_flags_if_available function in a setup_package.py file where you +# are defining your extensions: +# +# from astropy_helpers.openmp_helpers import add_openmp_flags_if_available +# +# then call it with a single extension as the only argument: +# +# add_openmp_flags_if_available(extension) +# +# this will add the OpenMP flags if available. + +from __future__ import absolute_import, print_function + +import os +import sys +import glob +import tempfile +import subprocess + +from distutils import log +from distutils.ccompiler import new_compiler +from distutils.sysconfig import customize_compiler +from distutils.errors import CompileError, LinkError + +from .setup_helpers import get_compiler_option + +__all__ = ['add_openmp_flags_if_available'] + + +CCODE = """ +#include +#include +int main(void) { + #pragma omp parallel + printf("nthreads=%d\\n", omp_get_num_threads()); + return 0; +} +""" + + +def add_openmp_flags_if_available(extension): + """ + Add OpenMP compilation flags, if available (if not a warning will be + printed to the console and no flags will be added) + + Returns `True` if the flags were added, `False` otherwise. + """ + + ccompiler = new_compiler() + customize_compiler(ccompiler) + + tmp_dir = tempfile.mkdtemp() + + start_dir = os.path.abspath('.') + + if get_compiler_option() == 'msvc': + compile_flag = '-openmp' + link_flag = '' + else: + compile_flag = '-fopenmp' + link_flag = '-fopenmp' + + try: + + os.chdir(tmp_dir) + + with open('test_openmp.c', 'w') as f: + f.write(CCODE) + + os.mkdir('objects') + + # Compile, link, and run test program + ccompiler.compile(['test_openmp.c'], output_dir='objects', extra_postargs=[compile_flag]) + ccompiler.link_executable(glob.glob(os.path.join('objects', '*')), 'test_openmp', extra_postargs=[link_flag]) + output = subprocess.check_output('./test_openmp').decode(sys.stdout.encoding or 'utf-8').splitlines() + + if 'nthreads=' in output[0]: + nthreads = int(output[0].strip().split('=')[1]) + if len(output) == nthreads: + using_openmp = True + else: + log.warn("Unexpected number of lines from output of test OpenMP " + "program (output was {0})".format(output)) + using_openmp = False + else: + log.warn("Unexpected output from test OpenMP " + "program (output was {0})".format(output)) + using_openmp = False + + except (CompileError, LinkError): + + using_openmp = False + + finally: + + os.chdir(start_dir) + + if using_openmp: + log.info("Compiling Cython extension with OpenMP support") + extension.extra_compile_args.append(compile_flag) + extension.extra_link_args.append(link_flag) + else: + log.warn("Cannot compile Cython extension with OpenMP, reverting to non-parallel code") + + return using_openmp diff --git a/astropy_helpers/astropy_helpers/setup_helpers.py b/astropy_helpers/astropy_helpers/setup_helpers.py new file mode 100644 index 00000000..8abe4aec --- /dev/null +++ b/astropy_helpers/astropy_helpers/setup_helpers.py @@ -0,0 +1,769 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst +""" +This module contains a number of utilities for use during +setup/build/packaging that are useful to astropy as a whole. +""" + +from __future__ import absolute_import, print_function + +import collections +import os +import re +import subprocess +import sys +import traceback +import warnings + +from distutils import log +from distutils.dist import Distribution +from distutils.errors import DistutilsOptionError, DistutilsModuleError +from distutils.core import Extension +from distutils.core import Command +from distutils.command.sdist import sdist as DistutilsSdist + +from setuptools import find_packages as _find_packages + +from .distutils_helpers import (add_command_option, get_compiler_option, + get_dummy_distribution, get_distutils_build_option, + get_distutils_build_or_install_option) +from .version_helpers import get_pkg_version_module +from .utils import (walk_skip_hidden, import_file, extends_doc, + resolve_name, AstropyDeprecationWarning) + +from .commands.build_ext import generate_build_ext_command +from .commands.build_py import AstropyBuildPy +from .commands.install import AstropyInstall +from .commands.install_lib import AstropyInstallLib +from .commands.test import AstropyTest + +# These imports are not used in this module, but are included for backwards +# compat with older versions of this module +from .utils import get_numpy_include_path, write_if_different # noqa +from .commands.build_ext import should_build_with_cython, get_compiler_version # noqa + +_module_state = {'registered_commands': None, + 'have_sphinx': False, + 'package_cache': None, + 'exclude_packages': set(), + 'excludes_too_late': False} + +try: + import sphinx # noqa + _module_state['have_sphinx'] = True +except ValueError as e: + # This can occur deep in the bowels of Sphinx's imports by way of docutils + # and an occurrence of this bug: http://bugs.python.org/issue18378 + # In this case sphinx is effectively unusable + if 'unknown locale' in e.args[0]: + log.warn( + "Possible misconfiguration of one of the environment variables " + "LC_ALL, LC_CTYPES, LANG, or LANGUAGE. For an example of how to " + "configure your system's language environment on OSX see " + "http://blog.remibergsma.com/2012/07/10/" + "setting-locales-correctly-on-mac-osx-terminal-application/") +except ImportError: + pass +except SyntaxError: + # occurs if markupsafe is recent version, which doesn't support Python 3.2 + pass + + +PY3 = sys.version_info[0] >= 3 + + +# This adds a new keyword to the setup() function +Distribution.skip_2to3 = [] + + +def adjust_compiler(package): + """ + This function detects broken compilers and switches to another. If + the environment variable CC is explicitly set, or a compiler is + specified on the commandline, no override is performed -- the purpose + here is to only override a default compiler. + + The specific compilers with problems are: + + * The default compiler in XCode-4.2, llvm-gcc-4.2, + segfaults when compiling wcslib. + + The set of broken compilers can be updated by changing the + compiler_mapping variable. It is a list of 2-tuples where the + first in the pair is a regular expression matching the version + of the broken compiler, and the second is the compiler to change + to. + """ + + warnings.warn( + 'Direct use of the adjust_compiler function in setup.py is ' + 'deprecated and can be removed from your setup.py. This ' + 'functionality is now incorporated directly into the build_ext ' + 'command.', AstropyDeprecationWarning) + + +def get_debug_option(packagename): + """ Determines if the build is in debug mode. + + Returns + ------- + debug : bool + True if the current build was started with the debug option, False + otherwise. + + """ + + try: + current_debug = get_pkg_version_module(packagename, + fromlist=['debug'])[0] + except (ImportError, AttributeError): + current_debug = None + + # Only modify the debug flag if one of the build commands was explicitly + # run (i.e. not as a sub-command of something else) + dist = get_dummy_distribution() + if any(cmd in dist.commands for cmd in ['build', 'build_ext']): + debug = bool(get_distutils_build_option('debug')) + else: + debug = bool(current_debug) + + if current_debug is not None and current_debug != debug: + build_ext_cmd = dist.get_command_class('build_ext') + build_ext_cmd.force_rebuild = True + + return debug + + +def add_exclude_packages(excludes): + + if _module_state['excludes_too_late']: + raise RuntimeError( + "add_package_excludes must be called before all other setup helper " + "functions in order to properly handle excluded packages") + + _module_state['exclude_packages'].add(set(excludes)) + + +def register_commands(package, version, release, srcdir='.'): + + if _module_state['registered_commands'] is not None: + return _module_state['registered_commands'] + + if _module_state['have_sphinx']: + try: + from .commands.build_sphinx import (AstropyBuildSphinx, + AstropyBuildDocs) + except ImportError: + AstropyBuildSphinx = AstropyBuildDocs = FakeBuildSphinx + else: + AstropyBuildSphinx = AstropyBuildDocs = FakeBuildSphinx + + _module_state['registered_commands'] = registered_commands = { + 'test': generate_test_command(package), + + # Use distutils' sdist because it respects package_data. + # setuptools/distributes sdist requires duplication of information in + # MANIFEST.in + 'sdist': DistutilsSdist, + + # The exact form of the build_ext command depends on whether or not + # we're building a release version + 'build_ext': generate_build_ext_command(package, release), + + # We have a custom build_py to generate the default configuration file + 'build_py': AstropyBuildPy, + + # Since install can (in some circumstances) be run without + # first building, we also need to override install and + # install_lib. See #2223 + 'install': AstropyInstall, + 'install_lib': AstropyInstallLib, + + 'build_sphinx': AstropyBuildSphinx, + 'build_docs': AstropyBuildDocs + } + + # Need to override the __name__ here so that the commandline options are + # presented as being related to the "build" command, for example; normally + # this wouldn't be necessary since commands also have a command_name + # attribute, but there is a bug in distutils' help display code that it + # uses __name__ instead of command_name. Yay distutils! + for name, cls in registered_commands.items(): + cls.__name__ = name + + # Add a few custom options; more of these can be added by specific packages + # later + for option in [ + ('use-system-libraries', + "Use system libraries whenever possible", True)]: + add_command_option('build', *option) + add_command_option('install', *option) + + add_command_hooks(registered_commands, srcdir=srcdir) + + return registered_commands + + +def add_command_hooks(commands, srcdir='.'): + """ + Look through setup_package.py modules for functions with names like + ``pre__hook`` and ``post__hook`` where + ```` is the name of a ``setup.py`` command (e.g. build_ext). + + If either hook is present this adds a wrapped version of that command to + the passed in ``commands`` `dict`. ``commands`` may be pre-populated with + other custom distutils command classes that should be wrapped if there are + hooks for them (e.g. `AstropyBuildPy`). + """ + + hook_re = re.compile(r'^(pre|post)_(.+)_hook$') + + # Distutils commands have a method of the same name, but it is not a + # *classmethod* (which probably didn't exist when distutils was first + # written) + def get_command_name(cmdcls): + if hasattr(cmdcls, 'command_name'): + return cmdcls.command_name + else: + return cmdcls.__name__ + + packages = filter_packages(find_packages(srcdir)) + dist = get_dummy_distribution() + + hooks = collections.defaultdict(dict) + + for setuppkg in iter_setup_packages(srcdir, packages): + for name, obj in vars(setuppkg).items(): + match = hook_re.match(name) + if not match: + continue + + hook_type = match.group(1) + cmd_name = match.group(2) + + if hook_type not in hooks[cmd_name]: + hooks[cmd_name][hook_type] = [] + + hooks[cmd_name][hook_type].append((setuppkg.__name__, obj)) + + for cmd_name, cmd_hooks in hooks.items(): + commands[cmd_name] = generate_hooked_command( + cmd_name, dist.get_command_class(cmd_name), cmd_hooks) + + +def generate_hooked_command(cmd_name, cmd_cls, hooks): + """ + Returns a generated subclass of ``cmd_cls`` that runs the pre- and + post-command hooks for that command before and after the ``cmd_cls.run`` + method. + """ + + def run(self, orig_run=cmd_cls.run): + self.run_command_hooks('pre_hooks') + orig_run(self) + self.run_command_hooks('post_hooks') + + return type(cmd_name, (cmd_cls, object), + {'run': run, 'run_command_hooks': run_command_hooks, + 'pre_hooks': hooks.get('pre', []), + 'post_hooks': hooks.get('post', [])}) + + +def run_command_hooks(cmd_obj, hook_kind): + """Run hooks registered for that command and phase. + + *cmd_obj* is a finalized command object; *hook_kind* is either + 'pre_hook' or 'post_hook'. + """ + + hooks = getattr(cmd_obj, hook_kind, None) + + if not hooks: + return + + for modname, hook in hooks: + if isinstance(hook, str): + try: + hook_obj = resolve_name(hook) + except ImportError as exc: + raise DistutilsModuleError( + 'cannot find hook {0}: {1}'.format(hook, exc)) + else: + hook_obj = hook + + if not callable(hook_obj): + raise DistutilsOptionError('hook {0!r} is not callable' % hook) + + log.info('running {0} from {1} for {2} command'.format( + hook_kind.rstrip('s'), modname, cmd_obj.get_command_name())) + + try: + hook_obj(cmd_obj) + except Exception: + log.error('{0} command hook {1} raised an exception: %s\n'.format( + hook_obj.__name__, cmd_obj.get_command_name())) + log.error(traceback.format_exc()) + sys.exit(1) + + +def generate_test_command(package_name): + """ + Creates a custom 'test' command for the given package which sets the + command's ``package_name`` class attribute to the name of the package being + tested. + """ + + return type(package_name.title() + 'Test', (AstropyTest,), + {'package_name': package_name}) + + +def update_package_files(srcdir, extensions, package_data, packagenames, + package_dirs): + """ + This function is deprecated and maintained for backward compatibility + with affiliated packages. Affiliated packages should update their + setup.py to use `get_package_info` instead. + """ + + info = get_package_info(srcdir) + extensions.extend(info['ext_modules']) + package_data.update(info['package_data']) + packagenames = list(set(packagenames + info['packages'])) + package_dirs.update(info['package_dir']) + + +def get_package_info(srcdir='.', exclude=()): + """ + Collates all of the information for building all subpackages + and returns a dictionary of keyword arguments that can + be passed directly to `distutils.setup`. + + The purpose of this function is to allow subpackages to update the + arguments to the package's ``setup()`` function in its setup.py + script, rather than having to specify all extensions/package data + directly in the ``setup.py``. See Astropy's own + ``setup.py`` for example usage and the Astropy development docs + for more details. + + This function obtains that information by iterating through all + packages in ``srcdir`` and locating a ``setup_package.py`` module. + This module can contain the following functions: + ``get_extensions()``, ``get_package_data()``, + ``get_build_options()``, ``get_external_libraries()``, + and ``requires_2to3()``. + + Each of those functions take no arguments. + + - ``get_extensions`` returns a list of + `distutils.extension.Extension` objects. + + - ``get_package_data()`` returns a dict formatted as required by + the ``package_data`` argument to ``setup()``. + + - ``get_build_options()`` returns a list of tuples describing the + extra build options to add. + + - ``get_external_libraries()`` returns + a list of libraries that can optionally be built using external + dependencies. + + - ``get_entry_points()`` returns a dict formatted as required by + the ``entry_points`` argument to ``setup()``. + + - ``requires_2to3()`` should return `True` when the source code + requires `2to3` processing to run on Python 3.x. If + ``requires_2to3()`` is missing, it is assumed to return `True`. + + """ + ext_modules = [] + packages = [] + package_data = {} + package_dir = {} + skip_2to3 = [] + + if exclude: + warnings.warn( + "Use of the exclude parameter is no longer supported since it does " + "not work as expected. Use add_exclude_packages instead. Note that " + "it must be called prior to any other calls from setup helpers.", + AstropyDeprecationWarning) + + # Use the find_packages tool to locate all packages and modules + packages = filter_packages(find_packages(srcdir, exclude=exclude)) + + # Update package_dir if the package lies in a subdirectory + if srcdir != '.': + package_dir[''] = srcdir + + # For each of the setup_package.py modules, extract any + # information that is needed to install them. The build options + # are extracted first, so that their values will be available in + # subsequent calls to `get_extensions`, etc. + for setuppkg in iter_setup_packages(srcdir, packages): + if hasattr(setuppkg, 'get_build_options'): + options = setuppkg.get_build_options() + for option in options: + add_command_option('build', *option) + if hasattr(setuppkg, 'get_external_libraries'): + libraries = setuppkg.get_external_libraries() + for library in libraries: + add_external_library(library) + if hasattr(setuppkg, 'requires_2to3'): + requires_2to3 = setuppkg.requires_2to3() + else: + requires_2to3 = True + if not requires_2to3: + skip_2to3.append( + os.path.dirname(setuppkg.__file__)) + + for setuppkg in iter_setup_packages(srcdir, packages): + # get_extensions must include any Cython extensions by their .pyx + # filename. + if hasattr(setuppkg, 'get_extensions'): + ext_modules.extend(setuppkg.get_extensions()) + if hasattr(setuppkg, 'get_package_data'): + package_data.update(setuppkg.get_package_data()) + + # Locate any .pyx files not already specified, and add their extensions in. + # The default include dirs include numpy to facilitate numerical work. + ext_modules.extend(get_cython_extensions(srcdir, packages, ext_modules, + ['numpy'])) + + # Now remove extensions that have the special name 'skip_cython', as they + # exist Only to indicate that the cython extensions shouldn't be built + for i, ext in reversed(list(enumerate(ext_modules))): + if ext.name == 'skip_cython': + del ext_modules[i] + + # On Microsoft compilers, we need to pass the '/MANIFEST' + # commandline argument. This was the default on MSVC 9.0, but is + # now required on MSVC 10.0, but it doesn't seem to hurt to add + # it unconditionally. + if get_compiler_option() == 'msvc': + for ext in ext_modules: + ext.extra_link_args.append('/MANIFEST') + + return { + 'ext_modules': ext_modules, + 'packages': packages, + 'package_dir': package_dir, + 'package_data': package_data, + 'skip_2to3': skip_2to3 + } + + +def iter_setup_packages(srcdir, packages): + """ A generator that finds and imports all of the ``setup_package.py`` + modules in the source packages. + + Returns + ------- + modgen : generator + A generator that yields (modname, mod), where `mod` is the module and + `modname` is the module name for the ``setup_package.py`` modules. + + """ + + for packagename in packages: + package_parts = packagename.split('.') + package_path = os.path.join(srcdir, *package_parts) + setup_package = os.path.relpath( + os.path.join(package_path, 'setup_package.py')) + + if os.path.isfile(setup_package): + module = import_file(setup_package, + name=packagename + '.setup_package') + yield module + + +def iter_pyx_files(package_dir, package_name): + """ + A generator that yields Cython source files (ending in '.pyx') in the + source packages. + + Returns + ------- + pyxgen : generator + A generator that yields (extmod, fullfn) where `extmod` is the + full name of the module that the .pyx file would live in based + on the source directory structure, and `fullfn` is the path to + the .pyx file. + """ + for dirpath, dirnames, filenames in walk_skip_hidden(package_dir): + for fn in filenames: + if fn.endswith('.pyx'): + fullfn = os.path.relpath(os.path.join(dirpath, fn)) + # Package must match file name + extmod = '.'.join([package_name, fn[:-4]]) + yield (extmod, fullfn) + + break # Don't recurse into subdirectories + + +def get_cython_extensions(srcdir, packages, prevextensions=tuple(), + extincludedirs=None): + """ + Looks for Cython files and generates Extensions if needed. + + Parameters + ---------- + srcdir : str + Path to the root of the source directory to search. + prevextensions : list of `~distutils.core.Extension` objects + The extensions that are already defined. Any .pyx files already here + will be ignored. + extincludedirs : list of str or None + Directories to include as the `include_dirs` argument to the generated + `~distutils.core.Extension` objects. + + Returns + ------- + exts : list of `~distutils.core.Extension` objects + The new extensions that are needed to compile all .pyx files (does not + include any already in `prevextensions`). + """ + + # Vanilla setuptools and old versions of distribute include Cython files + # as .c files in the sources, not .pyx, so we cannot simply look for + # existing .pyx sources in the previous sources, but we should also check + # for .c files with the same remaining filename. So we look for .pyx and + # .c files, and we strip the extension. + prevsourcepaths = [] + ext_modules = [] + + for ext in prevextensions: + for s in ext.sources: + if s.endswith(('.pyx', '.c', '.cpp')): + sourcepath = os.path.realpath(os.path.splitext(s)[0]) + prevsourcepaths.append(sourcepath) + + for package_name in packages: + package_parts = package_name.split('.') + package_path = os.path.join(srcdir, *package_parts) + + for extmod, pyxfn in iter_pyx_files(package_path, package_name): + sourcepath = os.path.realpath(os.path.splitext(pyxfn)[0]) + if sourcepath not in prevsourcepaths: + ext_modules.append(Extension(extmod, [pyxfn], + include_dirs=extincludedirs)) + + return ext_modules + + +class DistutilsExtensionArgs(collections.defaultdict): + """ + A special dictionary whose default values are the empty list. + + This is useful for building up a set of arguments for + `distutils.Extension` without worrying whether the entry is + already present. + """ + def __init__(self, *args, **kwargs): + def default_factory(): + return [] + + super(DistutilsExtensionArgs, self).__init__( + default_factory, *args, **kwargs) + + def update(self, other): + for key, val in other.items(): + self[key].extend(val) + + +def pkg_config(packages, default_libraries, executable='pkg-config'): + """ + Uses pkg-config to update a set of distutils Extension arguments + to include the flags necessary to link against the given packages. + + If the pkg-config lookup fails, default_libraries is applied to + libraries. + + Parameters + ---------- + packages : list of str + A list of pkg-config packages to look up. + + default_libraries : list of str + A list of library names to use if the pkg-config lookup fails. + + Returns + ------- + config : dict + A dictionary containing keyword arguments to + `distutils.Extension`. These entries include: + + - ``include_dirs``: A list of include directories + - ``library_dirs``: A list of library directories + - ``libraries``: A list of libraries + - ``define_macros``: A list of macro defines + - ``undef_macros``: A list of macros to undefine + - ``extra_compile_args``: A list of extra arguments to pass to + the compiler + """ + + flag_map = {'-I': 'include_dirs', '-L': 'library_dirs', '-l': 'libraries', + '-D': 'define_macros', '-U': 'undef_macros'} + command = "{0} --libs --cflags {1}".format(executable, ' '.join(packages)), + + result = DistutilsExtensionArgs() + + try: + pipe = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE) + output = pipe.communicate()[0].strip() + except subprocess.CalledProcessError as e: + lines = [ + ("{0} failed. This may cause the build to fail below." + .format(executable)), + " command: {0}".format(e.cmd), + " returncode: {0}".format(e.returncode), + " output: {0}".format(e.output) + ] + log.warn('\n'.join(lines)) + result['libraries'].extend(default_libraries) + else: + if pipe.returncode != 0: + lines = [ + "pkg-config could not lookup up package(s) {0}.".format( + ", ".join(packages)), + "This may cause the build to fail below." + ] + log.warn('\n'.join(lines)) + result['libraries'].extend(default_libraries) + else: + for token in output.split(): + # It's not clear what encoding the output of + # pkg-config will come to us in. It will probably be + # some combination of pure ASCII (for the compiler + # flags) and the filesystem encoding (for any argument + # that includes directories or filenames), but this is + # just conjecture, as the pkg-config documentation + # doesn't seem to address it. + arg = token[:2].decode('ascii') + value = token[2:].decode(sys.getfilesystemencoding()) + if arg in flag_map: + if arg == '-D': + value = tuple(value.split('=', 1)) + result[flag_map[arg]].append(value) + else: + result['extra_compile_args'].append(value) + + return result + + +def add_external_library(library): + """ + Add a build option for selecting the internal or system copy of a library. + + Parameters + ---------- + library : str + The name of the library. If the library is `foo`, the build + option will be called `--use-system-foo`. + """ + + for command in ['build', 'build_ext', 'install']: + add_command_option(command, str('use-system-' + library), + 'Use the system {0} library'.format(library), + is_bool=True) + + +def use_system_library(library): + """ + Returns `True` if the build configuration indicates that the given + library should use the system copy of the library rather than the + internal one. + + For the given library `foo`, this will be `True` if + `--use-system-foo` or `--use-system-libraries` was provided at the + commandline or in `setup.cfg`. + + Parameters + ---------- + library : str + The name of the library + + Returns + ------- + use_system : bool + `True` if the build should use the system copy of the library. + """ + return ( + get_distutils_build_or_install_option('use_system_{0}'.format(library)) or + get_distutils_build_or_install_option('use_system_libraries')) + + +@extends_doc(_find_packages) +def find_packages(where='.', exclude=(), invalidate_cache=False): + """ + This version of ``find_packages`` caches previous results to speed up + subsequent calls. Use ``invalide_cache=True`` to ignore cached results + from previous ``find_packages`` calls, and repeat the package search. + """ + + if exclude: + warnings.warn( + "Use of the exclude parameter is no longer supported since it does " + "not work as expected. Use add_exclude_packages instead. Note that " + "it must be called prior to any other calls from setup helpers.", + AstropyDeprecationWarning) + + # Calling add_exclude_packages after this point will have no effect + _module_state['excludes_too_late'] = True + + if not invalidate_cache and _module_state['package_cache'] is not None: + return _module_state['package_cache'] + + packages = _find_packages( + where=where, exclude=list(_module_state['exclude_packages'])) + _module_state['package_cache'] = packages + + return packages + + +def filter_packages(packagenames): + """ + Removes some packages from the package list that shouldn't be + installed on the current version of Python. + """ + + if PY3: + exclude = '_py2' + else: + exclude = '_py3' + + return [x for x in packagenames if not x.endswith(exclude)] + + +class FakeBuildSphinx(Command): + """ + A dummy build_sphinx command that is called if Sphinx is not + installed and displays a relevant error message + """ + + # user options inherited from sphinx.setup_command.BuildDoc + user_options = [ + ('fresh-env', 'E', ''), + ('all-files', 'a', ''), + ('source-dir=', 's', ''), + ('build-dir=', None, ''), + ('config-dir=', 'c', ''), + ('builder=', 'b', ''), + ('project=', None, ''), + ('version=', None, ''), + ('release=', None, ''), + ('today=', None, ''), + ('link-index', 'i', '')] + + # user options appended in astropy.setup_helpers.AstropyBuildSphinx + user_options.append(('warnings-returncode', 'w', '')) + user_options.append(('clean-docs', 'l', '')) + user_options.append(('no-intersphinx', 'n', '')) + user_options.append(('open-docs-in-browser', 'o', '')) + + def initialize_options(self): + try: + raise RuntimeError("Sphinx and its dependencies must be installed " + "for build_docs.") + except: + log.error('error: Sphinx and its dependencies must be installed ' + 'for build_docs.') + sys.exit(1) diff --git a/astropy_helpers/astropy_helpers/sphinx/__init__.py b/astropy_helpers/astropy_helpers/sphinx/__init__.py new file mode 100644 index 00000000..d30b739f --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/__init__.py @@ -0,0 +1,8 @@ +""" +This package contains utilities and extensions for the Astropy sphinx +documentation. In particular, the `astropy.sphinx.conf` should be imported by +the sphinx ``conf.py`` file for affiliated packages that wish to make use of +the Astropy documentation format. Note that some sphinx extensions which are +bundled as-is (numpydoc and sphinx-automodapi) are included in +astropy_helpers.extern rather than astropy_helpers.sphinx.ext. +""" diff --git a/astropy_helpers/astropy_helpers/sphinx/conf.py b/astropy_helpers/astropy_helpers/sphinx/conf.py new file mode 100644 index 00000000..0e772343 --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/conf.py @@ -0,0 +1,344 @@ +# -*- coding: utf-8 -*- +# Licensed under a 3-clause BSD style license - see LICENSE.rst +# +# Astropy shared Sphinx settings. These settings are shared between +# astropy itself and affiliated packages. +# +# Note that not all possible configuration values are present in this file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import os +import sys +import warnings + +from os import path + +import sphinx +from distutils.version import LooseVersion + + +# -- General configuration ---------------------------------------------------- + +# The version check in Sphinx itself can only compare the major and +# minor parts of the version number, not the micro. To do a more +# specific version check, call check_sphinx_version("x.y.z.") from +# your project's conf.py +needs_sphinx = '1.3' + + +on_rtd = os.environ.get('READTHEDOCS', None) == 'True' + + +def check_sphinx_version(expected_version): + sphinx_version = LooseVersion(sphinx.__version__) + expected_version = LooseVersion(expected_version) + if sphinx_version < expected_version: + raise RuntimeError( + "At least Sphinx version {0} is required to build this " + "documentation. Found {1}.".format( + expected_version, sphinx_version)) + + +# Configuration for intersphinx: refer to the Python standard library. +intersphinx_mapping = { + 'python': ('https://docs.python.org/3/', + (None, 'http://data.astropy.org/intersphinx/python3.inv')), + 'pythonloc': ('http://docs.python.org/', + path.abspath(path.join(path.dirname(__file__), + 'local/python3_local_links.inv'))), + 'numpy': ('https://docs.scipy.org/doc/numpy/', + (None, 'http://data.astropy.org/intersphinx/numpy.inv')), + 'scipy': ('https://docs.scipy.org/doc/scipy/reference/', + (None, 'http://data.astropy.org/intersphinx/scipy.inv')), + 'matplotlib': ('http://matplotlib.org/', + (None, 'http://data.astropy.org/intersphinx/matplotlib.inv')), + 'astropy': ('http://docs.astropy.org/en/stable/', None), + 'h5py': ('http://docs.h5py.org/en/latest/', None)} + +if sys.version_info[0] == 2: + intersphinx_mapping['python'] = ( + 'https://docs.python.org/2/', + (None, 'http://data.astropy.org/intersphinx/python2.inv')) + intersphinx_mapping['pythonloc'] = ( + 'http://docs.python.org/', + path.abspath(path.join(path.dirname(__file__), + 'local/python2_local_links.inv'))) + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = ['_build'] + +# Add any paths that contain templates here, relative to this directory. +# templates_path = ['_templates'] + +# The suffix of source filenames. +source_suffix = '.rst' + +# The encoding of source files. +#source_encoding = 'utf-8-sig' + +# The master toctree document. +master_doc = 'index' + +# The reST default role (used for this markup: `text`) to use for all +# documents. Set to the "smart" one. +default_role = 'obj' + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +#language = None + +# This is added to the end of RST files - a good place to put substitutions to +# be used globally. +rst_epilog = """ +.. _Astropy: http://astropy.org +""" + +# A list of warning types to suppress arbitrary warning messages. We mean to +# override directives in astropy_helpers.sphinx.ext.autodoc_enhancements, +# thus need to ignore those warning. This can be removed once the patch gets +# released in upstream Sphinx (https://github.com/sphinx-doc/sphinx/pull/1843). +# Suppress the warnings requires Sphinx v1.4.2 +suppress_warnings = ['app.add_directive', ] + +# -- Project information ------------------------------------------------------ + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +#today = '' +# Else, today_fmt is used as the format for a strftime call. +#today_fmt = '%B %d, %Y' + +# If true, '()' will be appended to :func: etc. cross-reference text. +#add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +#add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +#show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +#pygments_style = 'sphinx' + +# A list of ignored prefixes for module index sorting. +#modindex_common_prefix = [] + + +# -- Settings for extensions and extension options ---------------------------- + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + 'sphinx.ext.autodoc', + 'sphinx.ext.intersphinx', + 'sphinx.ext.todo', + 'sphinx.ext.coverage', + 'sphinx.ext.inheritance_diagram', + 'sphinx.ext.viewcode', + 'astropy_helpers.extern.numpydoc', + 'astropy_helpers.extern.automodapi.automodapi', + 'astropy_helpers.extern.automodapi.smart_resolver', + 'astropy_helpers.sphinx.ext.tocdepthfix', + 'astropy_helpers.sphinx.ext.doctest', + 'astropy_helpers.sphinx.ext.changelog_links'] + + +if not on_rtd and LooseVersion(sphinx.__version__) < LooseVersion('1.4'): + extensions.append('sphinx.ext.pngmath') +else: + extensions.append('sphinx.ext.mathjax') + +try: + import matplotlib.sphinxext.plot_directive + extensions += [matplotlib.sphinxext.plot_directive.__name__] +# AttributeError is checked here in case matplotlib is installed but +# Sphinx isn't. Note that this module is imported by the config file +# generator, even if we're not building the docs. +except (ImportError, AttributeError): + warnings.warn( + "matplotlib's plot_directive could not be imported. " + + "Inline plots will not be included in the output") + +# Don't show summaries of the members in each class along with the +# class' docstring +numpydoc_show_class_members = False + +autosummary_generate = True + +automodapi_toctreedirnm = 'api' + +# Class documentation should contain *both* the class docstring and +# the __init__ docstring +autoclass_content = "both" + +# Render inheritance diagrams in SVG +graphviz_output_format = "svg" + +graphviz_dot_args = [ + '-Nfontsize=10', + '-Nfontname=Helvetica Neue, Helvetica, Arial, sans-serif', + '-Efontsize=10', + '-Efontname=Helvetica Neue, Helvetica, Arial, sans-serif', + '-Gfontsize=10', + '-Gfontname=Helvetica Neue, Helvetica, Arial, sans-serif' +] + +# -- Options for HTML output ------------------------------------------------- + +# Add any paths that contain custom themes here, relative to this directory. +html_theme_path = [path.abspath(path.join(path.dirname(__file__), 'themes'))] + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = 'bootstrap-astropy' + +# Custom sidebar templates, maps document names to template names. +html_sidebars = { + '**': ['localtoc.html'], + 'search': [], + 'genindex': [], + 'py-modindex': [], +} + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. + +# included in the bootstrap-astropy theme +html_favicon = path.join(html_theme_path[0], html_theme, 'static', + 'astropy_logo.ico') + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +html_last_updated_fmt = '%d %b %Y' + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +#html_theme_options = {} + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +#html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +#html_short_title = None + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +#html_use_smartypants = True + +# Additional templates that should be rendered to pages, maps page names to +# template names. +#html_additional_pages = {} + +# If false, no module index is generated. +#html_domain_indices = True + +# If false, no index is generated. +#html_use_index = True + +# If true, the index is split into individual pages for each letter. +#html_split_index = False + +# If true, links to the reST sources are added to the pages. +#html_show_sourcelink = True + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +#html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +#html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +#html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +#html_file_suffix = None + +# -- Options for LaTeX output ------------------------------------------------ + +# The paper size ('letter' or 'a4'). +#latex_paper_size = 'letter' + +# The font size ('10pt', '11pt' or '12pt'). +#latex_font_size = '10pt' + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +latex_toplevel_sectioning = 'part' + +# If true, show page references after internal links. +#latex_show_pagerefs = False + +# If true, show URL addresses after external links. +#latex_show_urls = False + +latex_elements = {} + +# Additional stuff for the LaTeX preamble. +latex_elements['preamble'] = r""" +% Use a more modern-looking monospace font +\usepackage{inconsolata} + +% The enumitem package provides unlimited nesting of lists and enums. +% Sphinx may use this in the future, in which case this can be removed. +% See https://bitbucket.org/birkenfeld/sphinx/issue/777/latex-output-too-deeply-nested +\usepackage{enumitem} +\setlistdepth{15} + +% In the parameters section, place a newline after the Parameters +% header. (This is stolen directly from Numpy's conf.py, since it +% affects Numpy-style docstrings). +\usepackage{expdlist} +\let\latexdescription=\description +\def\description{\latexdescription{}{} \breaklabel} + +% Support the superscript Unicode numbers used by the "unicode" units +% formatter +\DeclareUnicodeCharacter{2070}{\ensuremath{^0}} +\DeclareUnicodeCharacter{00B9}{\ensuremath{^1}} +\DeclareUnicodeCharacter{00B2}{\ensuremath{^2}} +\DeclareUnicodeCharacter{00B3}{\ensuremath{^3}} +\DeclareUnicodeCharacter{2074}{\ensuremath{^4}} +\DeclareUnicodeCharacter{2075}{\ensuremath{^5}} +\DeclareUnicodeCharacter{2076}{\ensuremath{^6}} +\DeclareUnicodeCharacter{2077}{\ensuremath{^7}} +\DeclareUnicodeCharacter{2078}{\ensuremath{^8}} +\DeclareUnicodeCharacter{2079}{\ensuremath{^9}} +\DeclareUnicodeCharacter{207B}{\ensuremath{^-}} +\DeclareUnicodeCharacter{00B0}{\ensuremath{^{\circ}}} +\DeclareUnicodeCharacter{2032}{\ensuremath{^{\prime}}} +\DeclareUnicodeCharacter{2033}{\ensuremath{^{\prime\prime}}} + +% Make the "warning" and "notes" sections use a sans-serif font to +% make them stand out more. +\renewenvironment{notice}[2]{ + \def\py@noticetype{#1} + \csname py@noticestart@#1\endcsname + \textsf{\textbf{#2}} +}{\csname py@noticeend@\py@noticetype\endcsname} +""" + +# Documents to append as an appendix to all manuals. +#latex_appendices = [] + +# If false, no module index is generated. +#latex_domain_indices = True + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +#latex_logo = None + +# -- Options for the linkcheck builder ---------------------------------------- + +# A timeout value, in seconds, for the linkcheck builder +linkcheck_timeout = 60 diff --git a/astropy_helpers/astropy_helpers/sphinx/ext/__init__.py b/astropy_helpers/astropy_helpers/sphinx/ext/__init__.py new file mode 100644 index 00000000..289cb838 --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/ext/__init__.py @@ -0,0 +1,2 @@ +from __future__ import division, absolute_import, print_function + diff --git a/astropy_helpers/astropy_helpers/sphinx/ext/changelog_links.py b/astropy_helpers/astropy_helpers/sphinx/ext/changelog_links.py new file mode 100644 index 00000000..6d896dc5 --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/ext/changelog_links.py @@ -0,0 +1,82 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst +""" +This sphinx extension makes the issue numbers in the changelog into links to +GitHub issues. +""" + +from __future__ import print_function + +import re + +from docutils.nodes import Text, reference + +BLOCK_PATTERN = re.compile('\[#.+\]', flags=re.DOTALL) +ISSUE_PATTERN = re.compile('#[0-9]+') + + +def process_changelog_links(app, doctree, docname): + for rex in app.changelog_links_rexes: + if rex.match(docname): + break + else: + # if the doc doesn't match any of the changelog regexes, don't process + return + + app.info('[changelog_links] Adding changelog links to "{0}"'.format(docname)) + + for item in doctree.traverse(): + + if not isinstance(item, Text): + continue + + # We build a new list of items to replace the current item. If + # a link is found, we need to use a 'reference' item. + children = [] + + # First cycle through blocks of issues (delimited by []) then + # iterate inside each one to find the individual issues. + prev_block_end = 0 + for block in BLOCK_PATTERN.finditer(item): + block_start, block_end = block.start(), block.end() + children.append(Text(item[prev_block_end:block_start])) + block = item[block_start:block_end] + prev_end = 0 + for m in ISSUE_PATTERN.finditer(block): + start, end = m.start(), m.end() + children.append(Text(block[prev_end:start])) + issue_number = block[start:end] + refuri = app.config.github_issues_url + issue_number[1:] + children.append(reference(text=issue_number, + name=issue_number, + refuri=refuri)) + prev_end = end + + prev_block_end = block_end + + # If no issues were found, this adds the whole item, + # otherwise it adds the remaining text. + children.append(Text(block[prev_end:block_end])) + + # If no blocks were found, this adds the whole item, otherwise + # it adds the remaining text. + children.append(Text(item[prev_block_end:])) + + # Replace item by the new list of items we have generated, + # which may contain links. + item.parent.replace(item, children) + + +def setup_patterns_rexes(app): + app.changelog_links_rexes = [re.compile(pat) for pat in + app.config.changelog_links_docpattern] + + +def setup(app): + + app.connect('doctree-resolved', process_changelog_links) + app.connect('builder-inited', setup_patterns_rexes) + app.add_config_value('github_issues_url', None, True) + app.add_config_value('changelog_links_docpattern', ['.*changelog.*', 'whatsnew/.*'], True) + + return {'parallel_read_safe': True, + 'parallel_write_safe': True} diff --git a/astropy_helpers/astropy_helpers/sphinx/ext/doctest.py b/astropy_helpers/astropy_helpers/sphinx/ext/doctest.py new file mode 100644 index 00000000..2e51c0af --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/ext/doctest.py @@ -0,0 +1,56 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst +""" +This is a set of three directives that allow us to insert metadata +about doctests into the .rst files so the testing framework knows +which tests to skip. + +This is quite different from the doctest extension in Sphinx itself, +which actually does something. For astropy, all of the testing is +centrally managed from py.test and Sphinx is not used for running +tests. +""" +import re +from docutils.nodes import literal_block +from docutils.parsers.rst import Directive + + +class DoctestSkipDirective(Directive): + has_content = True + + def run(self): + # Check if there is any valid argument, and skip it. Currently only + # 'win32' is supported in astropy.tests.pytest_plugins. + if re.match('win32', self.content[0]): + self.content = self.content[2:] + code = '\n'.join(self.content) + return [literal_block(code, code)] + + +class DoctestOmitDirective(Directive): + has_content = True + + def run(self): + # Simply do not add any content when this directive is encountered + return [] + + +class DoctestRequiresDirective(DoctestSkipDirective): + # This is silly, but we really support an unbounded number of + # optional arguments + optional_arguments = 64 + + +def setup(app): + + app.add_directive('doctest-requires', DoctestRequiresDirective) + app.add_directive('doctest-skip', DoctestSkipDirective) + app.add_directive('doctest-skip-all', DoctestSkipDirective) + app.add_directive('doctest', DoctestSkipDirective) + # Code blocks that use this directive will not appear in the generated + # documentation. This is intended to hide boilerplate code that is only + # useful for testing documentation using doctest, but does not actually + # belong in the documentation itself. + app.add_directive('testsetup', DoctestOmitDirective) + + return {'parallel_read_safe': True, + 'parallel_write_safe': True} diff --git a/astropy_helpers/astropy_helpers/sphinx/ext/edit_on_github.py b/astropy_helpers/astropy_helpers/sphinx/ext/edit_on_github.py new file mode 100644 index 00000000..0141e529 --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/ext/edit_on_github.py @@ -0,0 +1,168 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst +""" +This extension makes it easy to edit documentation on github. + +It adds links associated with each docstring that go to the +corresponding view source page on Github. From there, the user can +push the "Edit" button, edit the docstring, and submit a pull request. + +It has the following configuration options (to be set in the project's +``conf.py``): + +* ``edit_on_github_project`` + The name of the github project, in the form + "username/projectname". + +* ``edit_on_github_branch`` + The name of the branch to edit. If this is a released version, + this should be a git tag referring to that version. For a + dev version, it often makes sense for it to be "master". It + may also be a git hash. + +* ``edit_on_github_source_root`` + The location within the source tree of the root of the + Python package. Defaults to "lib". + +* ``edit_on_github_doc_root`` + The location within the source tree of the root of the + documentation source. Defaults to "doc", but it may make sense to + set it to "doc/source" if the project uses a separate source + directory. + +* ``edit_on_github_docstring_message`` + The phrase displayed in the links to edit a docstring. Defaults + to "[edit on github]". + +* ``edit_on_github_page_message`` + The phrase displayed in the links to edit a RST page. Defaults + to "[edit this page on github]". + +* ``edit_on_github_help_message`` + The phrase displayed as a tooltip on the edit links. Defaults to + "Push the Edit button on the next page" + +* ``edit_on_github_skip_regex`` + When the path to the .rst file matches this regular expression, + no "edit this page on github" link will be added. Defaults to + ``"_.*"``. +""" +import inspect +import os +import re +import sys + +from docutils import nodes + +from sphinx import addnodes + + +def import_object(modname, name): + """ + Import the object given by *modname* and *name* and return it. + If not found, or the import fails, returns None. + """ + try: + __import__(modname) + mod = sys.modules[modname] + obj = mod + for part in name.split('.'): + obj = getattr(obj, part) + return obj + except: + return None + + +def get_url_base(app): + return 'http://github.com/%s/tree/%s/' % ( + app.config.edit_on_github_project, + app.config.edit_on_github_branch) + + +def doctree_read(app, doctree): + # Get the configuration parameters + if app.config.edit_on_github_project == 'REQUIRED': + raise ValueError( + "The edit_on_github_project configuration variable must be " + "provided in the conf.py") + + source_root = app.config.edit_on_github_source_root + url = get_url_base(app) + + docstring_message = app.config.edit_on_github_docstring_message + + # Handle the docstring-editing links + for objnode in doctree.traverse(addnodes.desc): + if objnode.get('domain') != 'py': + continue + names = set() + for signode in objnode: + if not isinstance(signode, addnodes.desc_signature): + continue + modname = signode.get('module') + if not modname: + continue + fullname = signode.get('fullname') + if fullname in names: + # only one link per name, please + continue + names.add(fullname) + obj = import_object(modname, fullname) + anchor = None + if obj is not None: + try: + lines, lineno = inspect.getsourcelines(obj) + except: + pass + else: + anchor = '#L%d' % lineno + if anchor: + real_modname = inspect.getmodule(obj).__name__ + path = '%s%s%s.py%s' % ( + url, source_root, real_modname.replace('.', '/'), anchor) + onlynode = addnodes.only(expr='html') + onlynode += nodes.reference( + reftitle=app.config.edit_on_github_help_message, + refuri=path) + onlynode[0] += nodes.inline( + '', '', nodes.raw('', ' ', format='html'), + nodes.Text(docstring_message), + classes=['edit-on-github', 'viewcode-link']) + signode += onlynode + + +def html_page_context(app, pagename, templatename, context, doctree): + if (templatename == 'page.html' and + not re.match(app.config.edit_on_github_skip_regex, pagename)): + + doc_root = app.config.edit_on_github_doc_root + if doc_root != '' and not doc_root.endswith('/'): + doc_root += '/' + doc_path = os.path.relpath(doctree.get('source'), app.builder.srcdir) + url = get_url_base(app) + + page_message = app.config.edit_on_github_page_message + + context['edit_on_github'] = url + doc_root + doc_path + context['edit_on_github_page_message'] = page_message + + +def setup(app): + + app.add_config_value('edit_on_github_project', 'REQUIRED', True) + app.add_config_value('edit_on_github_branch', 'master', True) + app.add_config_value('edit_on_github_source_root', 'lib', True) + app.add_config_value('edit_on_github_doc_root', 'doc', True) + app.add_config_value('edit_on_github_docstring_message', + '[edit on github]', True) + app.add_config_value('edit_on_github_page_message', + 'Edit This Page on Github', True) + app.add_config_value('edit_on_github_help_message', + 'Push the Edit button on the next page', True) + app.add_config_value('edit_on_github_skip_regex', + '_.*', True) + + app.connect('doctree-read', doctree_read) + app.connect('html-page-context', html_page_context) + + return {'parallel_read_safe': True, + 'parallel_write_safe': True} diff --git a/astropy_helpers/astropy_helpers/sphinx/ext/tests/__init__.py b/astropy_helpers/astropy_helpers/sphinx/ext/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/astropy_helpers/astropy_helpers/sphinx/ext/tocdepthfix.py b/astropy_helpers/astropy_helpers/sphinx/ext/tocdepthfix.py new file mode 100644 index 00000000..92f9bfa3 --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/ext/tocdepthfix.py @@ -0,0 +1,22 @@ +from sphinx import addnodes + + +def fix_toc_entries(app, doctree): + # Get the docname; I don't know why this isn't just passed in to the + # callback + # This seems a bit unreliable as it's undocumented, but it's not "private" + # either: + docname = app.builder.env.temp_data['docname'] + if app.builder.env.metadata[docname].get('tocdepth', 0) != 0: + # We need to reprocess any TOC nodes in the doctree and make sure all + # the files listed in any TOCs are noted + for treenode in doctree.traverse(addnodes.toctree): + app.builder.env.note_toctree(docname, treenode) + + +def setup(app): + + app.connect('doctree-read', fix_toc_entries) + + return {'parallel_read_safe': True, + 'parallel_write_safe': True} diff --git a/astropy_helpers/astropy_helpers/sphinx/local/python2_local_links.inv b/astropy_helpers/astropy_helpers/sphinx/local/python2_local_links.inv new file mode 100644 index 00000000..8a50de23 Binary files /dev/null and b/astropy_helpers/astropy_helpers/sphinx/local/python2_local_links.inv differ diff --git a/astropy_helpers/astropy_helpers/sphinx/local/python2_local_links.txt b/astropy_helpers/astropy_helpers/sphinx/local/python2_local_links.txt new file mode 100644 index 00000000..2365fa6f --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/local/python2_local_links.txt @@ -0,0 +1,25 @@ +# Sphinx inventory version 2 +# Project: Python +# Version: 2.7 and 3.5 +# The remainder of this file should be compressed using zlib. +# python2 +IndexError py:exception -1 2/library/exceptions.html#IndexError - +IOError py:exception -1 2/library/exceptions.html#IOError - +KeyError py:exception -1 2/library/exceptions.html#KeyError - +ValueError py:exception -1 2/library/exceptions.html#ValueError - +TypeError py:exception -1 2/library/exceptions.html#TypeError - +# python3 only +TimeoutError py:exception -1 3/library/exceptions.html#TimeoutError - +bytes py:function -1 3/library/functions.html#bytes - +urllib.request.urlopen py:function -1 3/library/urllib.request.html#urllib.request.urlopen - +concurrent.futures.Future py:class -1 3/library/concurrent.futures.html#concurrent.futures.Future - +concurrent.futures.ThreadPoolExecutor py:class -1 3/library/concurrent.futures.html#concurrent.futures.ThreadPoolExecutor - +queue.Queue py:class -1 3/library/queue.html#queue.Queue - +print() py:function -1 3/library/functions.html#print - +# python3 only collections.abc +collections.Generator py:class -1 3/library/collections.abc.html#collections.abc.Generator - +collections.ByteString py:class -1 3/library/collections.abc.html#collections.abc.ByteString - +collections.Awaitable py:class -1 3/library/collections.abc.html#collections.abc.Awaitable - +collections.Coroutine py:class -1 3/library/collections.abc.html#collections.abc.Coroutine - +collections.AsyncIterable py:class -1 3/library/collections.abc.html#collections.abc.AsyncIterable - +collections.AsyncIterator py:class -1 3/library/collections.abc.html#collections.abc.AsyncIterator - diff --git a/astropy_helpers/astropy_helpers/sphinx/local/python3_local_links.inv b/astropy_helpers/astropy_helpers/sphinx/local/python3_local_links.inv new file mode 100644 index 00000000..b48802ae Binary files /dev/null and b/astropy_helpers/astropy_helpers/sphinx/local/python3_local_links.inv differ diff --git a/astropy_helpers/astropy_helpers/sphinx/local/python3_local_links.txt b/astropy_helpers/astropy_helpers/sphinx/local/python3_local_links.txt new file mode 100644 index 00000000..a72e1a17 --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/local/python3_local_links.txt @@ -0,0 +1,38 @@ +# Sphinx inventory version 2 +# Project: Python +# Version: 2.7 and 3.5 +# The remainder of this file should be compressed using zlib. +# python2 only links +cPickle py:module -1 2/library/pickle.html#module-cPickle - +unicode py:function -1 2/library/functions.html#unicode - +bsddb py:module -1 2/library/bsddb.html#module-bsddb - +dict.has_key py:method -1 2/library/stdtypes.html#dict.has_key - +dict.iteritems py:method -1 2/library/stdtypes.html#dict.iteritems - +dict.iterkeys py:method -1 2/library/stdtypes.html#dict.iterkeys - +dict.itervalues py:method -1 2/library/stdtypes.html#dict.itervalues - +urllib2.urlopen py:function -1 2/library/urllib2.html#urllib2.urlopen - +# python3 +print() py:function -1 3/library/functions.html#print - +# python3 collections.abc +collections.Container py:class -1 3/library/collections.abc.html#collections.abc.Container - +collections.Hashable py:class -1 3/library/collections.abc.html#collections.abc.Hashable - +collections.Sized py:class -1 3/library/collections.abc.html#collections.abc.Sized - +collections.Callable py:class -1 3/library/collections.abc.html#collections.abc.Callable - +collections.Iterable py:class -1 3/library/collections.abc.html#collections.abc.Iterable - +collections.Iterator py:class -1 3/library/collections.abc.html#collections.abc.Iterator - +collections.Generator py:class -1 3/library/collections.abc.html#collections.abc.Generator - +collections.Sequence py:class -1 3/library/collections.abc.html#collections.abc.Sequence - +collections.MutableSequence py:class -1 3/library/collections.abc.html#collections.abc.MutableSequence - +collections.ByteString py:class -1 3/library/collections.abc.html#collections.abc.ByteString - +collections.Set py:class -1 3/library/collections.abc.html#collections.abc.Set - +collections.MutableSet py:class -1 3/library/collections.abc.html#collections.abc.MutableSet - +collections.Mapping py:class -1 3/library/collections.abc.html#collections.abc.Mapping - +collections.MutableMapping py:class -1 3/library/collections.abc.html#collections.abc.MutableMapping - +collections.MappingView py:class -1 3/library/collections.abc.html#collections.abc.MappingView - +collections.ItemsView py:class -1 3/library/collections.abc.html#collections.abc.ItemsView - +collections.KeysView py:class -1 3/library/collections.abc.html#collections.abc.KeysView - +collections.ValuesView py:class -1 3/library/collections.abc.html#collections.abc.ValuesView - +collections.Awaitable py:class -1 3/library/collections.abc.html#collections.abc.Awaitable - +collections.Coroutine py:class -1 3/library/collections.abc.html#collections.abc.Coroutine - +collections.AsyncIterable py:class -1 3/library/collections.abc.html#collections.abc.AsyncIterable - +collections.AsyncIterator py:class -1 3/library/collections.abc.html#collections.abc.AsyncIterator - diff --git a/astropy_helpers/astropy_helpers/sphinx/setup_package.py b/astropy_helpers/astropy_helpers/sphinx/setup_package.py new file mode 100644 index 00000000..24e28e22 --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/setup_package.py @@ -0,0 +1,10 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst + + +def get_package_data(): + # Install the theme files + return { + 'astropy_helpers.sphinx': [ + 'local/*.inv', + 'themes/bootstrap-astropy/*.*', + 'themes/bootstrap-astropy/static/*.*']} diff --git a/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/globaltoc.html b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/globaltoc.html new file mode 100644 index 00000000..3bd8404a --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/globaltoc.html @@ -0,0 +1,3 @@ +

Table of Contents

+{{ toctree(maxdepth=-1, titles_only=true) }} + diff --git a/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/layout.html b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/layout.html new file mode 100644 index 00000000..8e82f05c --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/layout.html @@ -0,0 +1,96 @@ +{% extends "basic/layout.html" %} + +{# Collapsible sidebar script from default/layout.html in Sphinx #} +{% set script_files = script_files + ['_static/sidebar.js'] %} + +{# Add the google webfonts needed for the logo #} +{% block extrahead %} + +{% if not embedded %}{% endif %} + +{% endblock %} + + +{% block header %} +
+ {{ theme_logotext1 }}{{ theme_logotext2 }}{{ theme_logotext3 }} +
    +
    • +
  • Index
    • +
  • Modules
    • +
  • + {% block sidebarsearch %} + {% include "searchbox.html" %} + {% endblock %} +
    • +
+
+{% endblock %} + +{% block relbar1 %} +
+

{{ _('Navigation') }}

+
    + {%- if next %} +
  • + + next {{ "»"|safe }} + +
    • + {%- endif %} + {%- if prev %} +
  • + + {{ "«"|safe }} previous + + {% if next %}{{ reldelim2 }}{% endif %} +
    • + {%- endif %} + {%- block rootrellink %} +
  • + {{ shorttitle|e }} + {{ reldelim1 }} +
    • + {%- endblock %} + {%- for parent in parents %} +
  • {{ parent.title }}{{ reldelim1 }}
    • + {%- endfor %} + {# Don't put the title in the relbar for the first (index) page. #} + {% if prev %}
  • {{ title }}
    • {% endif %} + {%- block relbaritems %} {% endblock %} +
+
+{% endblock %} + +{# Silence the bottom relbar. #} +{% block relbar2 %}{% endblock %} + + +{%- block footer %} +
+

+ {%- if edit_on_github %} + {{ edit_on_github_page_message }}   + {%- endif %} + {%- if show_source and has_source and sourcename %} + {{ _('Page Source') }} + {%- endif %}   + Back to Top

+

+ {%- if show_copyright %} + {%- if hasdoc('copyright') %} + {% trans path=pathto('copyright'), copyright=copyright|e %}© Copyright {{ copyright }}.{% endtrans %}
+ {%- else %} + {% trans copyright=copyright|e %}© Copyright {{ copyright }}.{% endtrans %}
+ {%- endif %} + {%- endif %} + {%- if show_sphinx %} + {% trans sphinx_version=sphinx_version|e %}Created using Sphinx {{ sphinx_version }}.{% endtrans %}   + {%- endif %} + {%- if last_updated %} + {% trans last_updated=last_updated|e %}Last built {{ last_updated }}.{% endtrans %}
+ {%- endif %} +

+
+{%- endblock %} diff --git a/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/localtoc.html b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/localtoc.html new file mode 100644 index 00000000..0a21ad00 --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/localtoc.html @@ -0,0 +1,3 @@ +

Page Contents

+{{ toc }} + diff --git a/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/searchbox.html b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/searchbox.html new file mode 100644 index 00000000..0d17cc14 --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/searchbox.html @@ -0,0 +1,7 @@ +{%- if pagename != "search" %} +
+ + + +
+{%- endif %} diff --git a/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_linkout.svg b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_linkout.svg new file mode 100644 index 00000000..48324963 --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_linkout.svg @@ -0,0 +1,75 @@ + + + + + + + + + + + + + + + + + + + + + + + diff --git a/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_linkout_20.png b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_linkout_20.png new file mode 100644 index 00000000..43226797 Binary files /dev/null and b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_linkout_20.png differ diff --git a/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_logo.ico b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_logo.ico new file mode 100644 index 00000000..16d5af74 Binary files /dev/null and b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_logo.ico differ diff --git a/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_logo.svg b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_logo.svg new file mode 100644 index 00000000..1d7e1014 --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_logo.svg @@ -0,0 +1,87 @@ + + + + + + + + + + + + + + + + + + + + + + + diff --git a/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_logo_32.png b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_logo_32.png new file mode 100644 index 00000000..fc3d9309 Binary files /dev/null and b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/astropy_logo_32.png differ diff --git a/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/bootstrap-astropy.css b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/bootstrap-astropy.css new file mode 100644 index 00000000..aa8825ef --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/bootstrap-astropy.css @@ -0,0 +1,601 @@ +/*! + * Bootstrap v1.4.0 + * + * Copyright 2011 Twitter, Inc + * Licensed under the Apache License v2.0 + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Heavily modified by Kyle Barbary for the AstroPy Project for use with Sphinx. + */ + +@import url("basic.css"); + +body { + background-color: #ffffff; + margin: 0; + font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; + font-size: 13px; + font-weight: normal; + line-height: 18px; + color: #404040; +} + +/* Hyperlinks ----------------------------------------------------------------*/ + +a { + color: #0069d6; + text-decoration: none; + line-height: inherit; + font-weight: inherit; +} + +a:hover { + color: #00438a; + text-decoration: underline; +} + +/* Typography ----------------------------------------------------------------*/ + +h1,h2,h3,h4,h5,h6 { + color: #404040; + margin: 0.7em 0 0 0; + line-height: 1.5em; +} +h1 { + font-size: 24px; + margin: 0; +} +h2 { + font-size: 21px; + line-height: 1.2em; + margin: 1em 0 0.5em 0; + border-bottom: 1px solid #404040; +} +h3 { + font-size: 18px; +} +h4 { + font-size: 16px; +} +h5 { + font-size: 14px; +} +h6 { + font-size: 13px; + text-transform: uppercase; +} + +p { + font-size: 13px; + font-weight: normal; + line-height: 18px; + margin-top: 0px; + margin-bottom: 9px; +} + +ul, ol { + margin-left: 0; + padding: 0 0 0 25px; +} +ul ul, ul ol, ol ol, ol ul { + margin-bottom: 0; +} +ul { + list-style: disc; +} +ol { + list-style: decimal; +} +li { + line-height: 18px; + color: #404040; +} +ul.unstyled { + list-style: none; + margin-left: 0; +} +dl { + margin-bottom: 18px; +} +dl dt, dl dd { + line-height: 18px; +} +dl dd { + margin-left: 9px; +} +hr { + margin: 20px 0 19px; + border: 0; + border-bottom: 1px solid #eee; +} +strong { + font-style: inherit; + font-weight: bold; +} +em { + font-style: italic; + font-weight: inherit; + line-height: inherit; +} +.muted { + color: #bfbfbf; +} + +address { + display: block; + line-height: 18px; + margin-bottom: 18px; +} +code, pre { + padding: 0 3px 2px; + font-family: monospace; + -webkit-border-radius: 3px; + -moz-border-radius: 3px; + border-radius: 3px; +} +tt { + font-family: monospace; +} +code { + padding: 1px 3px; +} +pre { + display: block; + padding: 8.5px; + margin: 0 0 18px; + line-height: 18px; + border: 1px solid #ddd; + border: 1px solid rgba(0, 0, 0, 0.12); + -webkit-border-radius: 3px; + -moz-border-radius: 3px; + border-radius: 3px; + white-space: pre; + word-wrap: break-word; +} + +img { + margin: 9px 0; +} + +/* format inline code with a rounded box */ +tt, code { + margin: 0 2px; + padding: 0 5px; + border: 1px solid #ddd; + border: 1px solid rgba(0, 0, 0, 0.12); + border-radius: 3px; +} + +code.xref, a code { + margin: 0; + padding: 0 1px 0 1px; + background-color: none; + border: none; +} + +/* all code has same box background color, even in headers */ +h1 tt, h2 tt, h3 tt, h4 tt, h5 tt, h6 tt, +h1 code, h2 code, h3 code, h4 code, h5 code, h6 code, +pre, code, tt { + background-color: #f8f8f8; +} + +/* override box for links & other sphinx-specifc stuff */ +tt.xref, a tt, tt.descname, tt.descclassname { + padding: 0 1px 0 1px; + border: none; +} + +/* override box for related bar at the top of the page */ +.related tt { + border: none; + padding: 0 1px 0 1px; + background-color: transparent; + font-weight: bold; +} + +th { + background-color: #dddddd; +} + +.viewcode-back { + font-family: sans-serif; +} + +div.viewcode-block:target { + background-color: #f4debf; + border-top: 1px solid #ac9; + border-bottom: 1px solid #ac9; +} + +table.docutils { + border-spacing: 5px; + border-collapse: separate; +} + +/* Topbar --------------------------------------------------------------------*/ + +div.topbar { + height: 40px; + position: absolute; + top: 0; + left: 0; + right: 0; + z-index: 10000; + padding: 0px 10px; + background-color: #222; + background-color: #222222; + background-repeat: repeat-x; + background-image: -khtml-gradient(linear, left top, left bottom, from(#333333), to(#222222)); + background-image: -moz-linear-gradient(top, #333333, #222222); + background-image: -ms-linear-gradient(top, #333333, #222222); + background-image: -webkit-gradient(linear, left top, left bottom, color-stop(0%, #333333), color-stop(100%, #222222)); + background-image: -webkit-linear-gradient(top, #333333, #222222); + background-image: -o-linear-gradient(top, #333333, #222222); + background-image: linear-gradient(top, #333333, #222222); + filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#333333', endColorstr='#222222', GradientType=0); + overflow: auto; +} + +div.topbar a.brand { + font-family: 'Source Sans Pro', sans-serif; + font-size: 26px; + color: #ffffff; + font-weight: 600; + text-decoration: none; + float: left; + display: block; + height: 32px; + padding: 8px 12px 0px 45px; + margin-left: -10px; + background: transparent url("astropy_logo_32.png") no-repeat 10px 4px; + background-image: url("astropy_logo.svg"), none; + background-size: 32px 32px; +} + +#logotext1 { +} + +#logotext2 { + font-weight:200; + color: #ff5000; +} +#logotext3 { + font-weight:200; +} + +div.topbar .brand:hover, div.topbar ul li a.homelink:hover { + background-color: #333; + background-color: rgba(255, 255, 255, 0.05); +} + +div.topbar ul { + font-size: 110%; + list-style: none; + margin: 0; + padding: 0 0 0 10px; + float: right; + color: #bfbfbf; + text-align: center; + text-decoration: none; + height: 100%; +} +div.topbar ul li { + float: left; + display: inline; + height: 30px; + margin: 5px; + padding: 0px; +} + +div.topbar ul li a { + color: #bfbfbf; + text-decoration: none; + padding: 5px; + display: block; + height: auto; + text-align: center; + vertical-align: middle; + border-radius: 4px; +} + +div.topbar ul li a:hover { + color: #ffffff; + text-decoration: none; +} + +div.topbar ul li a.homelink { + width: 112px; + display: block; + height: 20px; + padding: 5px 0px; + background: transparent url("astropy_linkout_20.png") no-repeat 10px 5px; + background-image: url("astropy_linkout.svg"), none; + background-size: 91px 20px; +} + +div.topbar form { + text-align: left; + margin: 0 0 0 5px; + position: relative; + filter: alpha(opacity=100); + -khtml-opacity: 1; + -moz-opacity: 1; + opacity: 1; +} + +div.topbar input { + background-color: #444; + background-color: rgba(255, 255, 255, 0.3); + font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; + font-size: normal; + font-weight: 13px; + line-height: 1; + padding: 4px 9px; + color: #ffffff; + color: rgba(255, 255, 255, 0.75); + border: 1px solid #111; + -webkit-border-radius: 4px; + -moz-border-radius: 4px; + border-radius: 4px; + -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1), 0 1px 0px rgba(255, 255, 255, 0.25); + -moz-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1), 0 1px 0px rgba(255, 255, 255, 0.25); + box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1), 0 1px 0px rgba(255, 255, 255, 0.25); + -webkit-transition: none; + -moz-transition: none; + -ms-transition: none; + -o-transition: none; + transition: none; +} +div.topbar input:-moz-placeholder { + color: #e6e6e6; +} +div.topbar input::-webkit-input-placeholder { + color: #e6e6e6; +} +div.topbar input:hover { + background-color: #bfbfbf; + background-color: rgba(255, 255, 255, 0.5); + color: #ffffff; +} +div.topbar input:focus, div.topbar input.focused { + outline: 0; + background-color: #ffffff; + color: #404040; + text-shadow: 0 1px 0 #ffffff; + border: 0; + padding: 5px 10px; + -webkit-box-shadow: 0 0 3px rgba(0, 0, 0, 0.15); + -moz-box-shadow: 0 0 3px rgba(0, 0, 0, 0.15); + box-shadow: 0 0 3px rgba(0, 0, 0, 0.15); +} + + +/* Relation bar (breadcrumbs, prev, next) ------------------------------------*/ + +div.related { + height: 21px; + width: auto; + margin: 0 10px; + position: absolute; + top: 42px; + clear: both; + left: 0; + right: 0; + z-index: 10000; + font-size: 100%; + vertical-align: middle; + background-color: #fff; + border-bottom: 1px solid #bbb; +} +div.related ul { + padding: 0; + margin: 0; +} + + +/* Footer --------------------------------------------------------------------*/ + +footer { + display: block; + margin: 10px 10px 0px; + padding: 10px 0 0 0; + border-top: 1px solid #bbb; +} +.pull-right { + float: right; + width: 30em; + text-align: right; +} + + +/* Sphinx sidebar ------------------------------------------------------------*/ + +div.sphinxsidebar { + font-size: inherit; + border-radius: 3px; + background-color: #eee; + border: 1px solid #bbb; + word-wrap: break-word; + /* overflow-wrap is the canonical name for word-wrap in the CSS3 text draft. + We include it here mainly for future-proofing. */ + overflow-wrap: break-word; +} + +div.sphinxsidebarwrapper { + padding: 0px 0px 0px 5px; +} + +div.sphinxsidebar h3 { + font-family: 'Trebuchet MS', sans-serif; + font-size: 1.4em; + font-weight: normal; + margin: 5px 0px 0px 5px; + padding: 0; + line-height: 1.6em; +} +div.sphinxsidebar h4 { + font-family: 'Trebuchet MS', sans-serif; + font-size: 1.3em; + font-weight: normal; + margin: 5px 0 0 0; + padding: 0; +} +div.sphinxsidebar p { +} +div.sphinxsidebar p.topless { + margin: 5px 10px 10px 10px; +} +div.sphinxsidebar ul { + margin: 0px 0px 0px 5px; + padding: 0; +} + +div.sphinxsidebar ul ul { + margin-left: 15px; + list-style-type: disc; +} + +/* If showing the global TOC (toctree), + color the current page differently */ +div.sphinxsidebar a.current { + color: #404040; +} +div.sphinxsidebar a.current:hover { + color: #404040; +} + + +/* document, documentwrapper, body, bodywrapper ----------------------------- */ + +div.document { + margin-top: 72px; + margin-left: 10px; + margin-right: 10px; +} + +div.documentwrapper { + float: left; + width: 100%; +} + +div.body { + background-color: #ffffff; + padding: 0 0 0px 20px; +} + +div.bodywrapper { + margin: 0 0 0 230px; + max-width: 55em; +} + + +/* Header links ------------------------------------------------------------- */ + +a.headerlink { + font-size: 0.8em; + padding: 0 4px 0 4px; + text-decoration: none; +} + +a.headerlink:hover { + background-color: #0069d6; + color: white; + text-docoration: none; +} + + +/* Admonitions and warnings ------------------------------------------------- */ + +/* Shared by admonitions and warnings */ +div.admonition, +div.warning { + padding: 0px; + border-radius: 3px; + -moz-border-radius: 3px; + -webkit-border-radius: 3px; +} +div.admonition p, +div.warning p { + margin: 0.5em 1em 0.5em 1em; + padding: 0; +} +div.admonition pre, +div.warning pre { + margin: 0.4em 1em 0.4em 1em; +} +div.admonition p.admonition-title, +div.warning p.admonition-title { + margin: 0; + padding: 0.1em 0 0.1em 0.5em; + color: white; + font-weight: bold; + font-size: 1.1em; +} +div.admonition ul, div.admonition ol, +div.warning ul, div.warning ol { + margin: 0.1em 0.5em 0.5em 3em; + padding: 0; +} + +/* Admonitions only */ +div.admonition { + border: 1px solid #609060; + background-color: #e9ffe9; +} +div.admonition p.admonition-title { + background-color: #70A070; +} + +/* Warnings only */ +div.warning { + border: 1px solid #900000; + background-color: #ffe9e9; +} +div.warning p.admonition-title { + background-color: #b04040; +} + + +/* Figures ------------------------------------------------------------------ */ + +.figure.align-center { + clear: none; +} + +/* This is a div for containing multiple figures side-by-side, for use with + * .. container:: figures */ +div.figures { + border: 1px solid #CCCCCC; + background-color: #F8F8F8; + margin: 1em; + text-align: center; +} + +div.figures .figure { + clear: none; + float: none; + display: inline-block; + border: none; + margin-left: 0.5em; + margin-right: 0.5em; +} + +.field-list th { + white-space: nowrap; +} + +table.field-list { + border-spacing: 0px; + margin-left: 1px; + border-left: 5px solid rgb(238, 238, 238) !important; +} + +table.field-list th.field-name { + display: inline-block; + padding: 1px 8px 1px 5px; + white-space: nowrap; + background-color: rgb(238, 238, 238); + border-radius: 0 3px 3px 0; + -webkit-border-radius: 0 3px 3px 0; +} diff --git a/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/copybutton.js b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/copybutton.js new file mode 100644 index 00000000..52a9baad --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/copybutton.js @@ -0,0 +1,63 @@ +$(document).ready(function() { + /* Add a [>>>] button on the top-right corner of code samples to hide + * the >>> and ... prompts and the output and thus make the code + * copyable. */ + var div = $('.highlight-python .highlight,' + + '.highlight-python3 .highlight,' + + '.highlight-default .highlight') + var pre = div.find('pre'); + + // get the styles from the current theme + pre.parent().parent().css('position', 'relative'); + var hide_text = 'Hide the prompts and output'; + var show_text = 'Show the prompts and output'; + var border_width = pre.css('border-top-width'); + var border_style = pre.css('border-top-style'); + var border_color = pre.css('border-top-color'); + var button_styles = { + 'cursor':'pointer', 'position': 'absolute', 'top': '0', 'right': '0', + 'border-color': border_color, 'border-style': border_style, + 'border-width': border_width, 'color': border_color, 'text-size': '75%', + 'font-family': 'monospace', 'padding-left': '0.2em', 'padding-right': '0.2em', + 'border-radius': '0 3px 0 0' + } + + // create and add the button to all the code blocks that contain >>> + div.each(function(index) { + var jthis = $(this); + if (jthis.find('.gp').length > 0) { + var button = $('>>>'); + button.css(button_styles) + button.attr('title', hide_text); + button.data('hidden', 'false'); + jthis.prepend(button); + } + // tracebacks (.gt) contain bare text elements that need to be + // wrapped in a span to work with .nextUntil() (see later) + jthis.find('pre:has(.gt)').contents().filter(function() { + return ((this.nodeType == 3) && (this.data.trim().length > 0)); + }).wrap(''); + }); + + // define the behavior of the button when it's clicked + $('.copybutton').click(function(e){ + e.preventDefault(); + var button = $(this); + if (button.data('hidden') === 'false') { + // hide the code output + button.parent().find('.go, .gp, .gt').hide(); + button.next('pre').find('.gt').nextUntil('.gp, .go').css('visibility', 'hidden'); + button.css('text-decoration', 'line-through'); + button.attr('title', show_text); + button.data('hidden', 'true'); + } else { + // show the code output + button.parent().find('.go, .gp, .gt').show(); + button.next('pre').find('.gt').nextUntil('.gp, .go').css('visibility', 'visible'); + button.css('text-decoration', 'none'); + button.attr('title', hide_text); + button.data('hidden', 'false'); + } + }); +}); + diff --git a/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/sidebar.js b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/sidebar.js new file mode 100644 index 00000000..15d87f3a --- /dev/null +++ b/astropy_helpers/astropy_helpers/sphinx/themes/bootstrap-astropy/static/sidebar.js @@ -0,0 +1,160 @@ +/* + * sidebar.js + * ~~~~~~~~~~ + * + * This script makes the Sphinx sidebar collapsible. + * + * .sphinxsidebar contains .sphinxsidebarwrapper. This script adds + * in .sphixsidebar, after .sphinxsidebarwrapper, the #sidebarbutton + * used to collapse and expand the sidebar. + * + * When the sidebar is collapsed the .sphinxsidebarwrapper is hidden + * and the width of the sidebar and the margin-left of the document + * are decreased. When the sidebar is expanded the opposite happens. + * This script saves a per-browser/per-session cookie used to + * remember the position of the sidebar among the pages. + * Once the browser is closed the cookie is deleted and the position + * reset to the default (expanded). + * + * :copyright: Copyright 2007-2011 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +$(function() { + // global elements used by the functions. + // the 'sidebarbutton' element is defined as global after its + // creation, in the add_sidebar_button function + var bodywrapper = $('.bodywrapper'); + var sidebar = $('.sphinxsidebar'); + var sidebarwrapper = $('.sphinxsidebarwrapper'); + + // for some reason, the document has no sidebar; do not run into errors + if (!sidebar.length) return; + + // original margin-left of the bodywrapper and width of the sidebar + // with the sidebar expanded + var bw_margin_expanded = bodywrapper.css('margin-left'); + var ssb_width_expanded = sidebar.width(); + + // margin-left of the bodywrapper and width of the sidebar + // with the sidebar collapsed + var bw_margin_collapsed = 12; + var ssb_width_collapsed = 12; + + // custom colors + var dark_color = '#404040'; + var light_color = '#505050'; + + function sidebar_is_collapsed() { + return sidebarwrapper.is(':not(:visible)'); + } + + function toggle_sidebar() { + if (sidebar_is_collapsed()) + expand_sidebar(); + else + collapse_sidebar(); + } + + function collapse_sidebar() { + sidebarwrapper.hide(); + sidebar.css('width', ssb_width_collapsed); + bodywrapper.css('margin-left', bw_margin_collapsed); + sidebarbutton.css({ + 'margin-left': '-1px', + 'height': bodywrapper.height(), + 'border-radius': '3px' + }); + sidebarbutton.find('span').text('»'); + sidebarbutton.attr('title', _('Expand sidebar')); + document.cookie = 'sidebar=collapsed'; + } + + function expand_sidebar() { + bodywrapper.css('margin-left', bw_margin_expanded); + sidebar.css('width', ssb_width_expanded); + sidebarwrapper.show(); + sidebarbutton.css({ + 'margin-left': ssb_width_expanded - 12, + 'height': bodywrapper.height(), + 'border-radius': '0px 3px 3px 0px' + }); + sidebarbutton.find('span').text('«'); + sidebarbutton.attr('title', _('Collapse sidebar')); + document.cookie = 'sidebar=expanded'; + } + + function add_sidebar_button() { + sidebarwrapper.css({ + 'float': 'left', + 'margin-right': '0', + 'width': ssb_width_expanded - 18 + }); + // create the button + sidebar.append('
«
'); + var sidebarbutton = $('#sidebarbutton'); + + // find the height of the viewport to center the '<<' in the page + var viewport_height; + if (window.innerHeight) + viewport_height = window.innerHeight; + else + viewport_height = $(window).height(); + var sidebar_offset = sidebar.offset().top; + var sidebar_height = Math.max(bodywrapper.height(), sidebar.height()); + sidebarbutton.find('span').css({ + 'font-family': '"Lucida Grande",Arial,sans-serif', + 'display': 'block', + 'top': Math.min(viewport_height/2, sidebar_height/2 + sidebar_offset) - 10, + 'width': 12, + 'position': 'fixed', + 'text-align': 'center' + }); + + sidebarbutton.click(toggle_sidebar); + sidebarbutton.attr('title', _('Collapse sidebar')); + sidebarbutton.css({ + 'color': '#FFFFFF', + 'background-color': light_color, + 'border': '1px solid ' + light_color, + 'border-radius': '0px 3px 3px 0px', + 'font-size': '1.2em', + 'cursor': 'pointer', + 'height': sidebar_height, + 'padding-top': '1px', + 'margin': '-1px', + 'margin-left': ssb_width_expanded - 12 + }); + + sidebarbutton.hover( + function () { + $(this).css('background-color', dark_color); + }, + function () { + $(this).css('background-color', light_color); + } + ); + } + + function set_position_from_cookie() { + if (!document.cookie) + return; + var items = document.cookie.split(';'); + for(var k=0; k= (3, 3): + import importlib + importlib.invalidate_caches() + + +@pytest.fixture(scope='function', autouse=True) +def reset_setup_helpers(request): + """ + Saves and restores the global state of the astropy_helpers.setup_helpers + module between tests. + """ + + mod = __import__('astropy_helpers.setup_helpers', fromlist=['']) + + old_state = mod._module_state.copy() + + def finalizer(old_state=old_state): + mod = sys.modules.get('astropy_helpers.setup_helpers') + if mod is not None: + mod._module_state.update(old_state) + + request.addfinalizer(finalizer) + + +@pytest.fixture(scope='function', autouse=True) +def reset_distutils_log(): + """ + This is a setup/teardown fixture that ensures the log-level of the + distutils log is always set to a default of WARN, since different + settings could affect tests that check the contents of stdout. + """ + + from distutils import log + log.set_threshold(log.WARN) + + +@pytest.fixture(scope='module', autouse=True) +def fix_hide_setuptools(): + """ + Workaround for https://github.com/astropy/astropy-helpers/issues/124 + + In setuptools 10.0 run_setup was changed in such a way that it sweeps + away the existing setuptools import before running the setup script. In + principle this is nice, but in the practice of testing astropy_helpers + this is problematic since we're trying to test code that has already been + imported during the testing process, and which relies on the setuptools + module that was already in use. + """ + + if hasattr(sandbox, 'hide_setuptools'): + sandbox.hide_setuptools = lambda: None + + +TEST_PACKAGE_SETUP_PY = """\ +#!/usr/bin/env python + +from setuptools import setup + +NAME = 'astropy-helpers-test' +VERSION = {version!r} + +setup(name=NAME, version=VERSION, + packages=['_astropy_helpers_test_'], + zip_safe=False) +""" + + +@pytest.fixture +def testpackage(tmpdir, version='0.1'): + """ + This fixture creates a simplified package called _astropy_helpers_test_ + used primarily for testing ah_boostrap, but without using the + astropy_helpers package directly and getting it confused with the + astropy_helpers package already under test. + """ + + source = tmpdir.mkdir('testpkg') + + with source.as_cwd(): + source.mkdir('_astropy_helpers_test_') + init = source.join('_astropy_helpers_test_', '__init__.py') + init.write('__version__ = {0!r}'.format(version)) + setup_py = TEST_PACKAGE_SETUP_PY.format(version=version) + source.join('setup.py').write(setup_py) + + # Make the new test package into a git repo + run_cmd('git', ['init']) + run_cmd('git', ['add', '--all']) + run_cmd('git', ['commit', '-m', 'test package']) + + return source + + +def cleanup_import(package_name): + """Remove all references to package_name from sys.modules""" + + for k in list(sys.modules): + if not isinstance(k, str): + # Some things will actually do this =_= + continue + elif k.startswith('astropy_helpers.tests'): + # Don't delete imported test modules or else the tests will break, + # badly + continue + if k == package_name or k.startswith(package_name + '.'): + del sys.modules[k] diff --git a/astropy_helpers/astropy_helpers/tests/coveragerc b/astropy_helpers/astropy_helpers/tests/coveragerc new file mode 100644 index 00000000..d51c230c --- /dev/null +++ b/astropy_helpers/astropy_helpers/tests/coveragerc @@ -0,0 +1,28 @@ +[run] +source = astropy_helpers +omit = + astropy_helpers/commands/_test_compat.py + astropy_helpers/compat/* + astropy_helpers/*/setup_package.py + astropy_helpers/extern/* + astropy_helpers/extern/*/* + astropy_helpers/tests/* + */test_pkg/* + +[report] +exclude_lines = + # Have to re-enable the standard pragma + pragma: no cover + + # Don't complain about packages we have installed + except ImportError + + # Don't complain if tests don't hit assertions + raise AssertionError + raise NotImplementedError + + # Don't complain about script hooks + def main\(.*\): + + # Ignore branches that don't pertain to this version of Python + pragma: py{ignore_python_version} diff --git a/astropy_helpers/astropy_helpers/tests/test_ah_bootstrap.py b/astropy_helpers/astropy_helpers/tests/test_ah_bootstrap.py new file mode 100644 index 00000000..cb396563 --- /dev/null +++ b/astropy_helpers/astropy_helpers/tests/test_ah_bootstrap.py @@ -0,0 +1,422 @@ +# -*- coding: utf-8 -*- + +import glob +import os +import textwrap + +from distutils.version import LooseVersion + +import setuptools +from setuptools.package_index import PackageIndex + +import pytest + +from . import reset_setup_helpers, reset_distutils_log, fix_hide_setuptools # noqa +from . import run_cmd, run_setup, testpackage +from ..utils import silence + + +TEST_SETUP_PY = """\ +#!/usr/bin/env python +from __future__ import print_function + +import os +import sys + +import ah_bootstrap +# reset the name of the package installed by ah_boostrap to +# _astropy_helpers_test_--this will prevent any confusion by pkg_resources with +# any already installed packages named astropy_helpers +# We also disable auto-upgrade by default +ah_bootstrap.DIST_NAME = 'astropy-helpers-test' +ah_bootstrap.PACKAGE_NAME = '_astropy_helpers_test_' +ah_bootstrap.AUTO_UPGRADE = False +ah_bootstrap.DOWNLOAD_IF_NEEDED = False +try: + ah_bootstrap.BOOTSTRAPPER = ah_bootstrap._Bootstrapper.main() + ah_bootstrap.use_astropy_helpers({args}) +finally: + ah_bootstrap.DIST_NAME = 'astropy-helpers' + ah_bootstrap.PACKAGE_NAME = 'astropy_helpers' + ah_bootstrap.AUTO_UPGRADE = True + ah_bootstrap.DOWNLOAD_IF_NEEDED = True + +# Kind of a hacky way to do this, but this assertion is specifically +# for test_check_submodule_no_git +# TODO: Rework the tests in this module so that it's easier to test specific +# behaviors of ah_bootstrap for each test +assert '--no-git' not in sys.argv + +import _astropy_helpers_test_ +filename = os.path.abspath(_astropy_helpers_test_.__file__) +filename = filename.replace('.pyc', '.py') # More consistent this way +print(filename) +""" + + +# The behavior checked in some of the tests depends on the version of +# setuptools +try: + # We need to use LooseVersion here instead of StrictVersion since developer + # versions of setuptools ('35.0.2.post20170530') don't satisfy the + # StrictVersion criteria even though they satisfy PEP440 + SETUPTOOLS_VERSION = LooseVersion(setuptools.__version__).version +except: + # Broken setuptools? ¯\_(ツ)_/¯ + SETUPTOOLS_VERSION = (0, 0, 0) + + +def test_bootstrap_from_submodule(tmpdir, testpackage, capsys): + """ + Tests importing _astropy_helpers_test_ from a submodule in a git + repository. This tests actually performing a fresh clone of the repository + without the submodule initialized, and that importing astropy_helpers in + that context works transparently after calling + `ah_boostrap.use_astropy_helpers`. + """ + + orig_repo = tmpdir.mkdir('orig') + + # Ensure ah_bootstrap is imported from the local directory + import ah_bootstrap # noqa + + with orig_repo.as_cwd(): + run_cmd('git', ['init']) + + # Write a test setup.py that uses ah_bootstrap; it also ensures that + # any previous reference to astropy_helpers is first wiped from + # sys.modules + orig_repo.join('setup.py').write(TEST_SETUP_PY.format(args='')) + run_cmd('git', ['add', 'setup.py']) + + # Add our own clone of the astropy_helpers repo as a submodule named + # astropy_helpers + run_cmd('git', ['submodule', 'add', str(testpackage), + '_astropy_helpers_test_']) + + run_cmd('git', ['commit', '-m', 'test repository']) + + os.chdir(str(tmpdir)) + + # Creates a clone of our test repo in the directory 'clone' + run_cmd('git', ['clone', 'orig', 'clone']) + + os.chdir('clone') + + run_setup('setup.py', []) + + stdout, stderr = capsys.readouterr() + path = stdout.strip() + + # Ensure that the astropy_helpers used by the setup.py is the one that + # was imported from git submodule + a = os.path.normcase(path) + b = os.path.normcase(str(tmpdir.join('clone', '_astropy_helpers_test_', + '_astropy_helpers_test_', + '__init__.py'))) + assert a == b + + +def test_bootstrap_from_submodule_no_locale(tmpdir, testpackage, capsys, + monkeypatch): + """ + Regression test for https://github.com/astropy/astropy/issues/2749 + + Runs test_bootstrap_from_submodule but with missing locale/language + settings. + """ + + for varname in ('LC_ALL', 'LC_CTYPE', 'LANG', 'LANGUAGE'): + monkeypatch.delenv(varname, raising=False) + + test_bootstrap_from_submodule(tmpdir, testpackage, capsys) + + +def test_bootstrap_from_submodule_bad_locale(tmpdir, testpackage, capsys, + monkeypatch): + """ + Additional regression test for + https://github.com/astropy/astropy/issues/2749 + """ + + for varname in ('LC_ALL', 'LC_CTYPE', 'LANG', 'LANGUAGE'): + monkeypatch.delenv(varname, raising=False) + + # Test also with bad LC_CTYPE a la http://bugs.python.org/issue18378 + monkeypatch.setenv('LC_CTYPE', 'UTF-8') + + test_bootstrap_from_submodule(tmpdir, testpackage, capsys) + + +def test_check_submodule_no_git(tmpdir, testpackage): + """ + Tests that when importing astropy_helpers from a submodule, it is still + recognized as a submodule even when using the --no-git option. + + In particular this ensures that the auto-upgrade feature is not activated. + """ + + orig_repo = tmpdir.mkdir('orig') + + # Ensure ah_bootstrap is imported from the local directory + import ah_bootstrap # noqa + + with orig_repo.as_cwd(): + run_cmd('git', ['init']) + + # Write a test setup.py that uses ah_bootstrap; it also ensures that + # any previous reference to astropy_helpers is first wiped from + # sys.modules + args = 'auto_upgrade=True' + orig_repo.join('setup.py').write(TEST_SETUP_PY.format(args=args)) + run_cmd('git', ['add', 'setup.py']) + + # Add our own clone of the astropy_helpers repo as a submodule named + # astropy_helpers + run_cmd('git', ['submodule', 'add', str(testpackage), + '_astropy_helpers_test_']) + + run_cmd('git', ['commit', '-m', 'test repository']) + + # Temporarily patch _do_upgrade to fail if called + class UpgradeError(Exception): + pass + + def _do_upgrade(*args, **kwargs): + raise UpgradeError() + + orig_do_upgrade = ah_bootstrap._Bootstrapper._do_upgrade + ah_bootstrap._Bootstrapper._do_upgrade = _do_upgrade + try: + run_setup('setup.py', ['--no-git']) + except UpgradeError: + pytest.fail('Attempted to run auto-upgrade despite importing ' + '_astropy_helpers_test_ from a git submodule') + finally: + ah_bootstrap._Bootstrapper._do_upgrade = orig_do_upgrade + + # Ensure that the no-git option was in fact set + assert not ah_bootstrap.BOOTSTRAPPER.use_git + + +def test_bootstrap_from_directory(tmpdir, testpackage, capsys): + """ + Tests simply bundling a copy of the astropy_helpers source code in its + entirety bundled directly in the source package and not in an archive. + """ + + import ah_bootstrap # noqa + + source = tmpdir.mkdir('source') + testpackage.copy(source.join('_astropy_helpers_test_')) + + with source.as_cwd(): + source.join('setup.py').write(TEST_SETUP_PY.format(args='')) + run_setup('setup.py', []) + stdout, stderr = capsys.readouterr() + + stdout = stdout.splitlines() + if stdout: + path = stdout[-1].strip() + else: + path = '' + + # Ensure that the astropy_helpers used by the setup.py is the one that + # was imported from git submodule + a = os.path.normcase(path) + b = os.path.normcase(str(source.join('_astropy_helpers_test_', + '_astropy_helpers_test_', + '__init__.py'))) + assert a == b + + +def test_bootstrap_from_archive(tmpdir, testpackage, capsys): + """ + Tests importing _astropy_helpers_test_ from a .tar.gz source archive + shipped alongside the package that uses it. + """ + + orig_repo = tmpdir.mkdir('orig') + + # Ensure ah_bootstrap is imported from the local directory + import ah_bootstrap # noqa + + # Make a source distribution of the test package + with silence(): + run_setup(str(testpackage.join('setup.py')), + ['sdist', '--dist-dir=dist', '--formats=gztar']) + + dist_dir = testpackage.join('dist') + for dist_file in dist_dir.visit('*.tar.gz'): + dist_file.copy(orig_repo) + + with orig_repo.as_cwd(): + # Write a test setup.py that uses ah_bootstrap; it also ensures that + # any previous reference to astropy_helpers is first wiped from + # sys.modules + args = 'path={0!r}'.format(os.path.basename(str(dist_file))) + orig_repo.join('setup.py').write(TEST_SETUP_PY.format(args=args)) + + run_setup('setup.py', []) + + stdout, stderr = capsys.readouterr() + path = stdout.splitlines()[-1].strip() + + # Installation from the .tar.gz should have resulted in a .egg + # directory that the _astropy_helpers_test_ package was imported from + eggs = _get_local_eggs() + assert eggs + egg = orig_repo.join(eggs[0]) + assert os.path.isdir(str(egg)) + + a = os.path.normcase(path) + b = os.path.normcase(str(egg.join('_astropy_helpers_test_', + '__init__.py'))) + + assert a == b + + +def test_download_if_needed(tmpdir, testpackage, capsys): + """ + Tests the case where astropy_helpers was not actually included in a + package, or is otherwise missing, and we need to "download" it. + + This does not test actually downloading from the internet--this is normally + done through setuptools' easy_install command which can also install from a + source archive. From the point of view of ah_boostrap the two actions are + equivalent, so we can just as easily simulate this by providing a setup.cfg + giving the path to a source archive to "download" (as though it were a + URL). + """ + + source = tmpdir.mkdir('source') + + # Ensure ah_bootstrap is imported from the local directory + import ah_bootstrap # noqa + + # Make a source distribution of the test package + with silence(): + run_setup(str(testpackage.join('setup.py')), + ['sdist', '--dist-dir=dist', '--formats=gztar']) + + dist_dir = testpackage.join('dist') + + with source.as_cwd(): + source.join('setup.py').write(TEST_SETUP_PY.format( + args='download_if_needed=True')) + source.join('setup.cfg').write(textwrap.dedent("""\ + [easy_install] + find_links = {find_links} + """.format(find_links=str(dist_dir)))) + + run_setup('setup.py', []) + + stdout, stderr = capsys.readouterr() + + # Just take the last line--on Python 2.6 distutils logs warning + # messages to stdout instead of stderr, causing them to be mixed up + # with our expected output + path = stdout.splitlines()[-1].strip() + + # easy_install should have worked by 'installing' astropy_helpers as a + # .egg in the current directory + eggs = _get_local_eggs() + assert eggs + egg = source.join(eggs[0]) + assert os.path.isdir(str(egg)) + + a = os.path.normcase(path) + b = os.path.normcase(str(egg.join('_astropy_helpers_test_', + '__init__.py'))) + assert a == b + + +def test_upgrade(tmpdir, capsys): + # Run the testpackage fixture manually, since we use it multiple times in + # this test to make different versions of _astropy_helpers_test_ + orig_dir = testpackage(tmpdir.mkdir('orig')) + + # Make a test package that uses _astropy_helpers_test_ + source = tmpdir.mkdir('source') + dist_dir = source.mkdir('dists') + orig_dir.copy(source.join('_astropy_helpers_test_')) + + with source.as_cwd(): + setup_py = TEST_SETUP_PY.format(args='auto_upgrade=True') + source.join('setup.py').write(setup_py) + + # This will be used to later to fake downloading the upgrade package + source.join('setup.cfg').write(textwrap.dedent("""\ + [easy_install] + find_links = {find_links} + """.format(find_links=str(dist_dir)))) + + # Make additional "upgrade" versions of the _astropy_helpers_test_ + # package--one of them is version 0.2 and the other is version 0.1.1. The + # auto-upgrade should ignore version 0.2 but use version 0.1.1. + upgrade_dir_1 = testpackage(tmpdir.mkdir('upgrade_1'), version='0.2') + upgrade_dir_2 = testpackage(tmpdir.mkdir('upgrade_2'), version='0.1.1') + + dists = [] + # For each upgrade package go ahead and build a source distribution of it + # and copy that source distribution to a dist directory we'll use later to + # simulate a 'download' + for upgrade_dir in [upgrade_dir_1, upgrade_dir_2]: + with silence(): + run_setup(str(upgrade_dir.join('setup.py')), + ['sdist', '--dist-dir=dist', '--formats=gztar']) + dists.append(str(upgrade_dir.join('dist'))) + for dist_file in upgrade_dir.visit('*.tar.gz'): + dist_file.copy(source.join('dists')) + + # Monkey with the PackageIndex in ah_bootstrap so that it is initialized + # with the test upgrade packages, and so that it does not actually go out + # to the internet to look for anything + import ah_bootstrap # noqa + + class FakePackageIndex(PackageIndex): + def __init__(self, *args, **kwargs): + PackageIndex.__init__(self, *args, **kwargs) + self.to_scan = dists + + def find_packages(self, requirement): + # no-op + pass + + ah_bootstrap.PackageIndex = FakePackageIndex + + try: + with source.as_cwd(): + # Now run the source setup.py; this test is similar to + # test_download_if_needed, but we explicitly check that the correct + # *version* of _astropy_helpers_test_ was used + run_setup('setup.py', []) + + stdout, stderr = capsys.readouterr() + path = stdout.splitlines()[-1].strip() + eggs = _get_local_eggs() + assert eggs + + egg = source.join(eggs[0]) + assert os.path.isdir(str(egg)) + a = os.path.normcase(path) + b = os.path.normcase(str(egg.join('_astropy_helpers_test_', + '__init__.py'))) + assert a == b + assert 'astropy_helpers_test-0.1.1-' in str(egg) + finally: + ah_bootstrap.PackageIndex = PackageIndex + + +def _get_local_eggs(path='.'): + """ + Helper utility used by some tests to get the list of egg archive files + in a local directory. + """ + + if SETUPTOOLS_VERSION[0] >= 7: + eggs = glob.glob(os.path.join(path, '.eggs', '*.egg')) + else: + eggs = glob.glob('*.egg') + + return eggs diff --git a/astropy_helpers/astropy_helpers/tests/test_git_helpers.py b/astropy_helpers/astropy_helpers/tests/test_git_helpers.py new file mode 100644 index 00000000..e581c1ae --- /dev/null +++ b/astropy_helpers/astropy_helpers/tests/test_git_helpers.py @@ -0,0 +1,254 @@ +import glob +import imp +import os +import pkgutil +import re +import sys +import tarfile + +import pytest +from warnings import catch_warnings + +from . import reset_setup_helpers, reset_distutils_log, fix_hide_setuptools # noqa +from . import run_cmd, run_setup, cleanup_import +from astropy_helpers.git_helpers import get_git_devstr + + +PY3 = sys.version_info[0] == 3 + +if PY3: + _text_type = str +else: + _text_type = unicode # noqa + + +_DEV_VERSION_RE = re.compile(r'\d+\.\d+(?:\.\d+)?\.dev(\d+)') + + +TEST_VERSION_SETUP_PY = """\ +#!/usr/bin/env python + +from setuptools import setup + +NAME = 'apyhtest_eva' +VERSION = {version!r} +RELEASE = 'dev' not in VERSION + +from astropy_helpers.git_helpers import get_git_devstr +from astropy_helpers.version_helpers import generate_version_py + +if not RELEASE: + VERSION += get_git_devstr(False) + +generate_version_py(NAME, VERSION, RELEASE, False, uses_git=not RELEASE) + +setup(name=NAME, version=VERSION, packages=['apyhtest_eva']) +""" + + +TEST_VERSION_INIT = """\ +try: + from .version import version as __version__ + from .version import githash as __githash__ +except ImportError: + __version__ = __githash__ = '' +""" + + +@pytest.fixture +def version_test_package(tmpdir, request): + def make_test_package(version='42.42.dev'): + test_package = tmpdir.mkdir('test_package') + test_package.join('setup.py').write( + TEST_VERSION_SETUP_PY.format(version=version)) + test_package.mkdir('apyhtest_eva').join('__init__.py').write(TEST_VERSION_INIT) + with test_package.as_cwd(): + run_cmd('git', ['init']) + run_cmd('git', ['add', '--all']) + run_cmd('git', ['commit', '-m', 'test package']) + + if '' in sys.path: + sys.path.remove('') + + sys.path.insert(0, '') + + def finalize(): + cleanup_import('apyhtest_eva') + + request.addfinalizer(finalize) + + return test_package + + return make_test_package + + +def test_update_git_devstr(version_test_package, capsys): + """Tests that the commit number in the package's version string updates + after git commits even without re-running setup.py. + """ + + # We have to call version_test_package to actually create the package + test_pkg = version_test_package() + + with test_pkg.as_cwd(): + run_setup('setup.py', ['--version']) + + stdout, stderr = capsys.readouterr() + version = stdout.strip() + + m = _DEV_VERSION_RE.match(version) + assert m, ( + "Stdout did not match the version string pattern:" + "\n\n{0}\n\nStderr:\n\n{1}".format(stdout, stderr)) + revcount = int(m.group(1)) + + import apyhtest_eva + assert apyhtest_eva.__version__ == version + + # Make a silly git commit + with open('.test', 'w'): + pass + + run_cmd('git', ['add', '.test']) + run_cmd('git', ['commit', '-m', 'test']) + + import apyhtest_eva.version + imp.reload(apyhtest_eva.version) + + # Previously this checked packagename.__version__, but in order for that to + # be updated we also have to re-import _astropy_init which could be tricky. + # Checking directly that the packagename.version module was updated is + # sufficient: + m = _DEV_VERSION_RE.match(apyhtest_eva.version.version) + assert m + assert int(m.group(1)) == revcount + 1 + + # This doesn't test astropy_helpers.get_helpers.update_git_devstr directly + # since a copy of that function is made in packagename.version (so that it + # can work without astropy_helpers installed). In order to get test + # coverage on the actual astropy_helpers copy of that function just call it + # directly and compare to the value in packagename + from astropy_helpers.git_helpers import update_git_devstr + + newversion = update_git_devstr(version, path=str(test_pkg)) + assert newversion == apyhtest_eva.version.version + + +def test_version_update_in_other_repos(version_test_package, tmpdir): + """ + Regression test for https://github.com/astropy/astropy-helpers/issues/114 + and for https://github.com/astropy/astropy-helpers/issues/107 + """ + + test_pkg = version_test_package() + + with test_pkg.as_cwd(): + run_setup('setup.py', ['build']) + + # Add the path to the test package to sys.path for now + sys.path.insert(0, str(test_pkg)) + try: + import apyhtest_eva + m = _DEV_VERSION_RE.match(apyhtest_eva.__version__) + assert m + correct_revcount = int(m.group(1)) + + with tmpdir.as_cwd(): + testrepo = tmpdir.mkdir('testrepo') + testrepo.chdir() + # Create an empty git repo + run_cmd('git', ['init']) + + import apyhtest_eva.version + imp.reload(apyhtest_eva.version) + m = _DEV_VERSION_RE.match(apyhtest_eva.version.version) + assert m + assert int(m.group(1)) == correct_revcount + correct_revcount = int(m.group(1)) + + # Add several commits--more than the revcount for the apyhtest_eva package + for idx in range(correct_revcount + 5): + test_filename = '.test' + str(idx) + testrepo.ensure(test_filename) + run_cmd('git', ['add', test_filename]) + run_cmd('git', ['commit', '-m', 'A message']) + + import apyhtest_eva.version + imp.reload(apyhtest_eva.version) + m = _DEV_VERSION_RE.match(apyhtest_eva.version.version) + assert m + assert int(m.group(1)) == correct_revcount + correct_revcount = int(m.group(1)) + finally: + sys.path.remove(str(test_pkg)) + + +@pytest.mark.parametrize('version', ['1.0.dev', '1.0']) +def test_installed_git_version(version_test_package, version, tmpdir, capsys): + """ + Test for https://github.com/astropy/astropy-helpers/issues/87 + + Ensures that packages installed with astropy_helpers have a correct copy + of the git hash of the installed commit. + """ + + # To test this, it should suffice to build a source dist, unpack it + # somewhere outside the git repository, and then do a build and import + # from the build directory--no need to "install" as such + + test_pkg = version_test_package(version) + + with test_pkg.as_cwd(): + run_setup('setup.py', ['build']) + + try: + import apyhtest_eva + githash = apyhtest_eva.__githash__ + assert githash and isinstance(githash, _text_type) + # Ensure that it does in fact look like a git hash and not some + # other arbitrary string + assert re.match(r'[0-9a-f]{40}', githash) + finally: + cleanup_import('apyhtest_eva') + + run_setup('setup.py', ['sdist', '--dist-dir=dist', '--formats=gztar']) + + tgzs = glob.glob(os.path.join('dist', '*.tar.gz')) + assert len(tgzs) == 1 + + tgz = test_pkg.join(tgzs[0]) + + build_dir = tmpdir.mkdir('build_dir') + tf = tarfile.open(str(tgz), mode='r:gz') + tf.extractall(str(build_dir)) + + with build_dir.as_cwd(): + pkg_dir = glob.glob('apyhtest_eva-*')[0] + os.chdir(pkg_dir) + + with catch_warnings(record=True) as w: + run_setup('setup.py', ['build']) + + try: + import apyhtest_eva + loader = pkgutil.get_loader('apyhtest_eva') + # Ensure we are importing the 'packagename' that was just unpacked + # into the build_dir + assert loader.get_filename().startswith(str(build_dir)) + assert apyhtest_eva.__githash__ == githash + finally: + cleanup_import('apyhtest_eva') + + +def test_get_git_devstr(tmpdir): + dirpath = str(tmpdir) + warn_msg = "No git repository present at" + # Verify as much as possible, but avoid dealing with paths on windows + if not sys.platform.startswith('win'): + warn_msg += " '{}'".format(dirpath) + + with catch_warnings(record=True) as w: + devstr = get_git_devstr(path=dirpath) + assert devstr == '0' + assert len(w) == 1 + assert str(w[0].message).startswith(warn_msg) diff --git a/astropy_helpers/astropy_helpers/tests/test_openmp_helpers.py b/astropy_helpers/astropy_helpers/tests/test_openmp_helpers.py new file mode 100644 index 00000000..04d8a39d --- /dev/null +++ b/astropy_helpers/astropy_helpers/tests/test_openmp_helpers.py @@ -0,0 +1,38 @@ +import os +import sys +from copy import deepcopy +from distutils.core import Extension + +from ..openmp_helpers import add_openmp_flags_if_available +from ..setup_helpers import _module_state, register_commands + +IS_TRAVIS_LINUX = os.environ.get('TRAVIS_OS_NAME', None) == 'linux' +IS_APPVEYOR = os.environ.get('APPVEYOR', None) == 'True' +PY3_LT_35 = sys.version_info[0] == 3 and sys.version_info[1] < 5 + +_state = None + + +def setup_function(function): + global state + state = deepcopy(_module_state) + + +def teardown_function(function): + _module_state.clear() + _module_state.update(state) + + +def test_add_openmp_flags_if_available(): + + register_commands('openmp_testing', '0.0', False) + + using_openmp = add_openmp_flags_if_available(Extension('test', [])) + + # Make sure that on Travis (Linux) and AppVeyor OpenMP does get used (for + # MacOS X usually it will not work but this will depend on the compiler). + # Having this is useful because we'll find out if OpenMP no longer works + # for any reason on platforms on which it does work at the time of writing. + # OpenMP doesn't work on Python 3.x where x<5 on AppVeyor though. + if IS_TRAVIS_LINUX or (IS_APPVEYOR and not PY3_LT_35): + assert using_openmp diff --git a/astropy_helpers/astropy_helpers/tests/test_setup_helpers.py b/astropy_helpers/astropy_helpers/tests/test_setup_helpers.py new file mode 100644 index 00000000..8af1e9af --- /dev/null +++ b/astropy_helpers/astropy_helpers/tests/test_setup_helpers.py @@ -0,0 +1,607 @@ +import os +import sys +import stat +import shutil +import warnings +import contextlib + +import pytest + +from textwrap import dedent + +from setuptools import Distribution + +from ..setup_helpers import get_package_info, register_commands +from ..commands import build_ext +from ..utils import AstropyDeprecationWarning + +from . import reset_setup_helpers, reset_distutils_log, fix_hide_setuptools # noqa +from . import run_setup, cleanup_import + + +# Determine whether we're in a PY2 environment without using six +USING_PY2 = sys.version_info < (3,0,0) + + +def _extension_test_package(tmpdir, request, extension_type='c'): + """Creates a simple test package with an extension module.""" + + test_pkg = tmpdir.mkdir('test_pkg') + test_pkg.mkdir('apyhtest_eva').ensure('__init__.py') + + # TODO: It might be later worth making this particular test package into a + # reusable fixture for other build_ext tests + + if extension_type in ('c', 'both'): + # A minimal C extension for testing + test_pkg.join('apyhtest_eva', 'unit01.c').write(dedent("""\ + #include + #ifndef PY3K + #if PY_MAJOR_VERSION >= 3 + #define PY3K 1 + #else + #define PY3K 0 + #endif + #endif + + #if PY3K + static struct PyModuleDef moduledef = { + PyModuleDef_HEAD_INIT, + "unit01", + NULL, + -1, + NULL + }; + PyMODINIT_FUNC + PyInit_unit01(void) { + return PyModule_Create(&moduledef); + } + #else + PyMODINIT_FUNC + initunit01(void) { + Py_InitModule3("unit01", NULL, NULL); + } + #endif + """)) + + if extension_type in ('pyx', 'both'): + # A minimal Cython extension for testing + test_pkg.join('apyhtest_eva', 'unit02.pyx').write(dedent("""\ + print("Hello cruel angel.") + """)) + + if extension_type == 'c': + extensions = ['unit01.c'] + elif extension_type == 'pyx': + extensions = ['unit02.pyx'] + elif extension_type == 'both': + extensions = ['unit01.c', 'unit02.pyx'] + + extensions_list = [ + "Extension('apyhtest_eva.{0}', [join('apyhtest_eva', '{1}')])".format( + os.path.splitext(extension)[0], extension) + for extension in extensions] + + test_pkg.join('apyhtest_eva', 'setup_package.py').write(dedent("""\ + from setuptools import Extension + from os.path import join + def get_extensions(): + return [{0}] + """.format(', '.join(extensions_list)))) + + test_pkg.join('setup.py').write(dedent("""\ + from os.path import join + from setuptools import setup + from astropy_helpers.setup_helpers import register_commands + from astropy_helpers.setup_helpers import get_package_info + from astropy_helpers.version_helpers import generate_version_py + + NAME = 'apyhtest_eva' + VERSION = '0.1' + RELEASE = True + + cmdclassd = register_commands(NAME, VERSION, RELEASE) + generate_version_py(NAME, VERSION, RELEASE, False, False) + package_info = get_package_info() + + setup( + name=NAME, + version=VERSION, + cmdclass=cmdclassd, + **package_info + ) + """)) + + if '' in sys.path: + sys.path.remove('') + + sys.path.insert(0, '') + + def finalize(): + cleanup_import('apyhtest_eva') + + request.addfinalizer(finalize) + + return test_pkg + + +@pytest.fixture +def extension_test_package(tmpdir, request): + return _extension_test_package(tmpdir, request, extension_type='both') + + +@pytest.fixture +def c_extension_test_package(tmpdir, request): + return _extension_test_package(tmpdir, request, extension_type='c') + + +@pytest.fixture +def pyx_extension_test_package(tmpdir, request): + return _extension_test_package(tmpdir, request, extension_type='pyx') + + +def test_cython_autoextensions(tmpdir): + """ + Regression test for https://github.com/astropy/astropy-helpers/pull/19 + + Ensures that Cython extensions in sub-packages are discovered and built + only once. + """ + + # Make a simple test package + test_pkg = tmpdir.mkdir('test_pkg') + test_pkg.mkdir('yoda').mkdir('luke') + test_pkg.ensure('yoda', '__init__.py') + test_pkg.ensure('yoda', 'luke', '__init__.py') + test_pkg.join('yoda', 'luke', 'dagobah.pyx').write( + """def testfunc(): pass""") + + # Required, currently, for get_package_info to work + register_commands('yoda', '0.0', False, srcdir=str(test_pkg)) + package_info = get_package_info(str(test_pkg)) + + assert len(package_info['ext_modules']) == 1 + assert package_info['ext_modules'][0].name == 'yoda.luke.dagobah' + + +def test_compiler_module(c_extension_test_package): + """ + Test ensuring that the compiler module is built and installed for packages + that have extension modules. + """ + + test_pkg = c_extension_test_package + install_temp = test_pkg.mkdir('install_temp') + + with test_pkg.as_cwd(): + # This is one of the simplest ways to install just a package into a + # test directory + with warnings.catch_warnings(record=True) as w: + run_setup('setup.py', + ['install', + '--single-version-externally-managed', + '--install-lib={0}'.format(install_temp), + '--record={0}'.format(install_temp.join('record.txt'))]) + # Skip this portion of the test on windows systems with Py 2.7 since + # it is known to produce additional warnings. + if not (USING_PY2 or sys.platform.startswith('win')): + # Warning expected from get_git_devstr, called by generate_version_py + assert len(w) == 1 + assert str(w[0].message).startswith("No git repository present at") + + with install_temp.as_cwd(): + import apyhtest_eva + # Make sure we imported the apyhtest_eva package from the correct place + dirname = os.path.abspath(os.path.dirname(apyhtest_eva.__file__)) + assert dirname == str(install_temp.join('apyhtest_eva')) + + import apyhtest_eva._compiler + import apyhtest_eva.version + assert apyhtest_eva.version.compiler == apyhtest_eva._compiler.compiler + assert apyhtest_eva.version.compiler != 'unknown' + + +def test_no_cython_buildext(c_extension_test_package, monkeypatch): + """ + Regression test for https://github.com/astropy/astropy-helpers/pull/35 + + This tests the custom build_ext command installed by astropy_helpers when + used with a project that has no Cython extensions (but does have one or + more normal C extensions). + """ + + test_pkg = c_extension_test_package + + # In order for this test to test the correct code path we need to fool + # build_ext into thinking we don't have Cython installed + monkeypatch.setattr(build_ext, 'should_build_with_cython', + lambda *args: False) + + with test_pkg.as_cwd(): + with warnings.catch_warnings(record=True) as w: + run_setup('setup.py', ['build_ext', '--inplace']) + # Warning expected from get_git_devstr, called by generate_version_py + if not USING_PY2: + assert len(w) == 1 + assert str(w[0].message).startswith("No git repository present at") + + sys.path.insert(0, str(test_pkg)) + + try: + import apyhtest_eva.unit01 + dirname = os.path.abspath(os.path.dirname(apyhtest_eva.unit01.__file__)) + assert dirname == str(test_pkg.join('apyhtest_eva')) + finally: + sys.path.remove(str(test_pkg)) + + +def test_missing_cython_c_files(pyx_extension_test_package, monkeypatch): + """ + Regression test for https://github.com/astropy/astropy-helpers/pull/181 + + Test failure mode when building a package that has Cython modules, but + where Cython is not installed and the generated C files are missing. + """ + + test_pkg = pyx_extension_test_package + + # In order for this test to test the correct code path we need to fool + # build_ext into thinking we don't have Cython installed + monkeypatch.setattr(build_ext, 'should_build_with_cython', + lambda *args: False) + + with test_pkg.as_cwd(): + with pytest.raises(SystemExit) as exc_info: + with warnings.catch_warnings(record=True) as w: + run_setup('setup.py', ['build_ext', '--inplace']) + # Warning expected from get_git_devstr, called by generate_version_py + if not USING_PY2: + assert len(w) == 1 + assert str(w[0].message).startswith( + "No git repository present at") + + msg = ('Could not find C/C++ file ' + '{0}.(c/cpp)'.format('apyhtest_eva/unit02'.replace('/', os.sep))) + + assert msg in str(exc_info.value) + + +@pytest.mark.parametrize('mode', ['cli', 'cli-w', 'direct', 'deprecated', 'cli-l', 'cli-error']) +def test_build_docs(tmpdir, mode): + """ + Test for build_docs + """ + + import astropy_helpers + ah_path = os.path.dirname(astropy_helpers.__file__) + + test_pkg = tmpdir.mkdir('test_pkg') + + test_pkg.mkdir('mypackage') + + test_pkg.join('mypackage').join('__init__.py').write(dedent("""\ + def test_function(): + pass + + class A(): + pass + + class B(A): + pass + """)) + + docs = test_pkg.mkdir('docs') + + autosummary = docs.mkdir('_templates').mkdir('autosummary') + + autosummary.join('base.rst').write('{% extends "autosummary_core/base.rst" %}') + autosummary.join('class.rst').write('{% extends "autosummary_core/class.rst" %}') + autosummary.join('module.rst').write('{% extends "autosummary_core/module.rst" %}') + + docs_dir = test_pkg.join('docs') + docs_dir.join('conf.py').write(dedent("""\ + import sys + sys.path.append("../") + import warnings + with warnings.catch_warnings(): # ignore matplotlib warning + warnings.simplefilter("ignore") + from astropy_helpers.sphinx.conf import * + exclude_patterns.append('_templates') + """)) + + if mode == 'cli-error': + docs_dir.join('conf.py').write(dedent(""" + raise ValueError("TestException") + """)) + + docs_dir.join('index.rst').write(dedent("""\ + .. automodapi:: mypackage + :no-inheritance-diagram: + """)) + + test_pkg.join('setup.py').write(dedent("""\ + from os.path import join + from setuptools import setup, Extension + from astropy_helpers.setup_helpers import register_commands, get_package_info + + NAME = 'mypackage' + VERSION = 0.1 + RELEASE = True + + cmdclassd = register_commands(NAME, VERSION, RELEASE) + + setup( + name=NAME, + version=VERSION, + cmdclass=cmdclassd, + **get_package_info() + ) + """)) + + with test_pkg.as_cwd(): + shutil.copytree(ah_path, 'astropy_helpers') + + if mode == 'cli': + run_setup('setup.py', ['build_docs']) + elif mode == 'cli-w': + run_setup('setup.py', ['build_docs', '-w']) + elif mode == 'cli-l': + run_setup('setup.py', ['build_docs', '-l']) + elif mode == 'deprecated': + with pytest.warns(AstropyDeprecationWarning): + run_setup('setup.py', ['build_sphinx']) + elif mode == 'direct': # to check coverage + with docs_dir.as_cwd(): + from sphinx import main + try: + main(['-b html', '-d _build/doctrees', '.', '_build/html']) + except SystemExit as exc: + assert exc.code == 0 + + +def test_command_hooks(tmpdir, capsys): + """A basic test for pre- and post-command hooks.""" + + test_pkg = tmpdir.mkdir('test_pkg') + test_pkg.mkdir('_welltall_') + test_pkg.join('_welltall_', '__init__.py').ensure() + + # Create a setup_package module with a couple of command hooks in it + test_pkg.join('_welltall_', 'setup_package.py').write(dedent("""\ + def pre_build_hook(cmd_obj): + print('Hello build!') + + def post_build_hook(cmd_obj): + print('Goodbye build!') + + """)) + + # A simple setup.py for the test package--running register_commands should + # discover and enable the command hooks + test_pkg.join('setup.py').write(dedent("""\ + from os.path import join + from setuptools import setup, Extension + from astropy_helpers.setup_helpers import register_commands, get_package_info + + NAME = '_welltall_' + VERSION = 0.1 + RELEASE = True + + cmdclassd = register_commands(NAME, VERSION, RELEASE) + + setup( + name=NAME, + version=VERSION, + cmdclass=cmdclassd + ) + """)) + + with test_pkg.as_cwd(): + try: + run_setup('setup.py', ['build']) + finally: + cleanup_import('_welltall_') + + stdout, stderr = capsys.readouterr() + want = dedent("""\ + running build + running pre_hook from _welltall_.setup_package for build command + Hello build! + running post_hook from _welltall_.setup_package for build command + Goodbye build! + """).strip() + + assert want in stdout + + +def test_adjust_compiler(monkeypatch, tmpdir): + """ + Regression test for https://github.com/astropy/astropy-helpers/issues/182 + """ + + from distutils import ccompiler, sysconfig + + class MockLog(object): + def __init__(self): + self.messages = [] + + def warn(self, message): + self.messages.append(message) + + good = tmpdir.join('gcc-good') + good.write(dedent("""\ + #!{python} + import sys + print('gcc 4.10') + sys.exit(0) + """.format(python=sys.executable))) + good.chmod(stat.S_IRUSR | stat.S_IEXEC) + + # A "compiler" that reports itself to be a version of Apple's llvm-gcc + # which is broken + bad = tmpdir.join('gcc-bad') + bad.write(dedent("""\ + #!{python} + import sys + print('i686-apple-darwin-llvm-gcc-4.2') + sys.exit(0) + """.format(python=sys.executable))) + bad.chmod(stat.S_IRUSR | stat.S_IEXEC) + + # A "compiler" that doesn't even know its identity (this reproduces the bug + # in #182) + ugly = tmpdir.join('gcc-ugly') + ugly.write(dedent("""\ + #!{python} + import sys + sys.exit(1) + """.format(python=sys.executable))) + ugly.chmod(stat.S_IRUSR | stat.S_IEXEC) + + # Scripts with shebang lines don't work implicitly in Windows when passed + # to subprocess.Popen, so... + if 'win' in sys.platform: + good = ' '.join((sys.executable, str(good))) + bad = ' '.join((sys.executable, str(bad))) + ugly = ' '.join((sys.executable, str(ugly))) + + dist = Distribution({}) + cmd_cls = build_ext.generate_build_ext_command('astropy', False) + cmd = cmd_cls(dist) + adjust_compiler = cmd._adjust_compiler + + @contextlib.contextmanager + def test_setup(): + log = MockLog() + monkeypatch.setattr(build_ext, 'log', log) + yield log + monkeypatch.undo() + + @contextlib.contextmanager + def compiler_setter_with_environ(compiler): + monkeypatch.setenv('CC', compiler) + with test_setup() as log: + yield log + monkeypatch.undo() + + @contextlib.contextmanager + def compiler_setter_with_sysconfig(compiler): + monkeypatch.setattr(ccompiler, 'get_default_compiler', lambda: 'unix') + monkeypatch.setattr(sysconfig, 'get_config_var', lambda v: compiler) + old_cc = os.environ.get('CC') + if old_cc is not None: + del os.environ['CC'] + + with test_setup() as log: + yield log + + monkeypatch.undo() + monkeypatch.undo() + monkeypatch.undo() + + if old_cc is not None: + os.environ['CC'] = old_cc + + compiler_setters = (compiler_setter_with_environ, + compiler_setter_with_sysconfig) + + for compiler_setter in compiler_setters: + with compiler_setter(str(good)): + # Should have no side-effects + adjust_compiler() + + with compiler_setter(str(ugly)): + # Should just pass without complaint, since we can't determine + # anything about the compiler anyways + adjust_compiler() + + # In the following tests we check the log messages just to ensure that the + # failures occur on the correct code paths for these cases + with compiler_setter_with_environ(str(bad)) as log: + with pytest.raises(SystemExit): + adjust_compiler() + + assert len(log.messages) == 1 + assert 'will fail to compile' in log.messages[0] + + with compiler_setter_with_sysconfig(str(bad)): + adjust_compiler() + assert 'CC' in os.environ and os.environ['CC'] == 'clang' + + with compiler_setter_with_environ('bogus') as log: + with pytest.raises(SystemExit): + # Missing compiler? + adjust_compiler() + + assert len(log.messages) == 1 + assert 'cannot be found or executed' in log.messages[0] + + with compiler_setter_with_sysconfig('bogus') as log: + with pytest.raises(SystemExit): + # Missing compiler? + adjust_compiler() + + assert len(log.messages) == 1 + assert 'The C compiler used to compile Python' in log.messages[0] + + +def test_invalid_package_exclusion(tmpdir, capsys): + + module_name = 'foobar' + setup_header = dedent("""\ + from os.path import join + from setuptools import setup, Extension + from astropy_helpers.setup_helpers import register_commands, \\ + get_package_info, add_exclude_packages + + NAME = {module_name!r} + VERSION = 0.1 + RELEASE = True + + """.format(module_name=module_name)) + + setup_footer = dedent("""\ + setup( + name=NAME, + version=VERSION, + cmdclass=cmdclassd, + **package_info + ) + """) + + # Test error when using add_package_excludes out of order + error_commands = dedent("""\ + cmdclassd = register_commands(NAME, VERSION, RELEASE) + package_info = get_package_info() + add_exclude_packages(['tests*']) + + """) + + error_pkg = tmpdir.mkdir('error_pkg') + error_pkg.join('setup.py').write( + setup_header + error_commands + setup_footer) + + with error_pkg.as_cwd(): + try: + with pytest.raises(RuntimeError): + run_setup('setup.py', ['build']) + finally: + cleanup_import(module_name) + + # Test warning when using deprecated exclude parameter + warn_commands = dedent("""\ + cmdclassd = register_commands(NAME, VERSION, RELEASE) + package_info = get_package_info(exclude=['test*']) + + """) + + warn_pkg = tmpdir.mkdir('warn_pkg') + warn_pkg.join('setup.py').write( + setup_header + warn_commands + setup_footer) + + with warn_pkg.as_cwd(): + try: + with pytest.warns(AstropyDeprecationWarning): + run_setup('setup.py', ['build']) + finally: + cleanup_import(module_name) diff --git a/astropy_helpers/astropy_helpers/tests/test_utils.py b/astropy_helpers/astropy_helpers/tests/test_utils.py new file mode 100644 index 00000000..ad76e4f5 --- /dev/null +++ b/astropy_helpers/astropy_helpers/tests/test_utils.py @@ -0,0 +1,24 @@ +import os +from ..utils import find_data_files + + +def test_find_data_files(tmpdir): + + data = tmpdir.mkdir('data') + sub1 = data.mkdir('sub1') + sub2 = data.mkdir('sub2') + sub3 = sub1.mkdir('sub3') + + for directory in (data, sub1, sub2, sub3): + filename = directory.join('data.dat').strpath + with open(filename, 'w') as f: + f.write('test') + + filenames = find_data_files(data.strpath, '**/*.dat') + + filenames = sorted(os.path.relpath(x, data.strpath) for x in filenames) + + assert filenames[0] == os.path.join('data.dat') + assert filenames[1] == os.path.join('sub1', 'data.dat') + assert filenames[2] == os.path.join('sub1', 'sub3', 'data.dat') + assert filenames[3] == os.path.join('sub2', 'data.dat') diff --git a/astropy_helpers/astropy_helpers/utils.py b/astropy_helpers/astropy_helpers/utils.py new file mode 100644 index 00000000..16e207a1 --- /dev/null +++ b/astropy_helpers/astropy_helpers/utils.py @@ -0,0 +1,862 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst +from __future__ import absolute_import, unicode_literals + +import contextlib +import functools +import imp +import inspect +import os +import sys +import glob +import textwrap +import types +import warnings + +try: + from importlib import machinery as import_machinery + # Python 3.2 does not have SourceLoader + if not hasattr(import_machinery, 'SourceLoader'): + import_machinery = None +except ImportError: + import_machinery = None + + +# Python 3.3's importlib caches filesystem reads for faster imports in the +# general case. But sometimes it's necessary to manually invalidate those +# caches so that the import system can pick up new generated files. See +# https://github.com/astropy/astropy/issues/820 +if sys.version_info[:2] >= (3, 3): + from importlib import invalidate_caches +else: + def invalidate_caches(): + return None + + +# Python 2/3 compatibility +if sys.version_info[0] < 3: + string_types = (str, unicode) # noqa +else: + string_types = (str,) + + +# Note: The following Warning subclasses are simply copies of the Warnings in +# Astropy of the same names. +class AstropyWarning(Warning): + """ + The base warning class from which all Astropy warnings should inherit. + + Any warning inheriting from this class is handled by the Astropy logger. + """ + + +class AstropyDeprecationWarning(AstropyWarning): + """ + A warning class to indicate a deprecated feature. + """ + + +class AstropyPendingDeprecationWarning(PendingDeprecationWarning, + AstropyWarning): + """ + A warning class to indicate a soon-to-be deprecated feature. + """ + + +def _get_platlib_dir(cmd): + """ + Given a build command, return the name of the appropriate platform-specific + build subdirectory directory (e.g. build/lib.linux-x86_64-2.7) + """ + + plat_specifier = '.{0}-{1}'.format(cmd.plat_name, sys.version[0:3]) + return os.path.join(cmd.build_base, 'lib' + plat_specifier) + + +def get_numpy_include_path(): + """ + Gets the path to the numpy headers. + """ + # We need to go through this nonsense in case setuptools + # downloaded and installed Numpy for us as part of the build or + # install, since Numpy may still think it's in "setup mode", when + # in fact we're ready to use it to build astropy now. + + if sys.version_info[0] >= 3: + import builtins + if hasattr(builtins, '__NUMPY_SETUP__'): + del builtins.__NUMPY_SETUP__ + import imp + import numpy + imp.reload(numpy) + else: + import __builtin__ + if hasattr(__builtin__, '__NUMPY_SETUP__'): + del __builtin__.__NUMPY_SETUP__ + import numpy + reload(numpy) + + try: + numpy_include = numpy.get_include() + except AttributeError: + numpy_include = numpy.get_numpy_include() + return numpy_include + + +class _DummyFile(object): + """A noop writeable object.""" + + errors = '' # Required for Python 3.x + + def write(self, s): + pass + + def flush(self): + pass + + +@contextlib.contextmanager +def silence(): + """A context manager that silences sys.stdout and sys.stderr.""" + + old_stdout = sys.stdout + old_stderr = sys.stderr + sys.stdout = _DummyFile() + sys.stderr = _DummyFile() + exception_occurred = False + try: + yield + except: + exception_occurred = True + # Go ahead and clean up so that exception handling can work normally + sys.stdout = old_stdout + sys.stderr = old_stderr + raise + + if not exception_occurred: + sys.stdout = old_stdout + sys.stderr = old_stderr + + +if sys.platform == 'win32': + import ctypes + + def _has_hidden_attribute(filepath): + """ + Returns True if the given filepath has the hidden attribute on + MS-Windows. Based on a post here: + http://stackoverflow.com/questions/284115/cross-platform-hidden-file-detection + """ + if isinstance(filepath, bytes): + filepath = filepath.decode(sys.getfilesystemencoding()) + try: + attrs = ctypes.windll.kernel32.GetFileAttributesW(filepath) + assert attrs != -1 + result = bool(attrs & 2) + except (AttributeError, AssertionError): + result = False + return result +else: + def _has_hidden_attribute(filepath): + return False + + +def is_path_hidden(filepath): + """ + Determines if a given file or directory is hidden. + + Parameters + ---------- + filepath : str + The path to a file or directory + + Returns + ------- + hidden : bool + Returns `True` if the file is hidden + """ + + name = os.path.basename(os.path.abspath(filepath)) + if isinstance(name, bytes): + is_dotted = name.startswith(b'.') + else: + is_dotted = name.startswith('.') + return is_dotted or _has_hidden_attribute(filepath) + + +def walk_skip_hidden(top, onerror=None, followlinks=False): + """ + A wrapper for `os.walk` that skips hidden files and directories. + + This function does not have the parameter `topdown` from + `os.walk`: the directories must always be recursed top-down when + using this function. + + See also + -------- + os.walk : For a description of the parameters + """ + + for root, dirs, files in os.walk( + top, topdown=True, onerror=onerror, + followlinks=followlinks): + # These lists must be updated in-place so os.walk will skip + # hidden directories + dirs[:] = [d for d in dirs if not is_path_hidden(d)] + files[:] = [f for f in files if not is_path_hidden(f)] + yield root, dirs, files + + +def write_if_different(filename, data): + """Write `data` to `filename`, if the content of the file is different. + + Parameters + ---------- + filename : str + The file name to be written to. + data : bytes + The data to be written to `filename`. + """ + + assert isinstance(data, bytes) + + if os.path.exists(filename): + with open(filename, 'rb') as fd: + original_data = fd.read() + else: + original_data = None + + if original_data != data: + with open(filename, 'wb') as fd: + fd.write(data) + + +def import_file(filename, name=None): + """ + Imports a module from a single file as if it doesn't belong to a + particular package. + + The returned module will have the optional ``name`` if given, or else + a name generated from the filename. + """ + # Specifying a traditional dot-separated fully qualified name here + # results in a number of "Parent module 'astropy' not found while + # handling absolute import" warnings. Using the same name, the + # namespaces of the modules get merged together. So, this + # generates an underscore-separated name which is more likely to + # be unique, and it doesn't really matter because the name isn't + # used directly here anyway. + mode = 'U' if sys.version_info[0] < 3 else 'r' + + if name is None: + basename = os.path.splitext(filename)[0] + name = '_'.join(os.path.relpath(basename).split(os.sep)[1:]) + + if import_machinery: + loader = import_machinery.SourceFileLoader(name, filename) + mod = loader.load_module() + else: + with open(filename, mode) as fd: + mod = imp.load_module(name, fd, filename, ('.py', mode, 1)) + + return mod + + +def resolve_name(name): + """Resolve a name like ``module.object`` to an object and return it. + + Raise `ImportError` if the module or name is not found. + """ + + parts = name.split('.') + cursor = len(parts) - 1 + module_name = parts[:cursor] + attr_name = parts[-1] + + while cursor > 0: + try: + ret = __import__('.'.join(module_name), fromlist=[attr_name]) + break + except ImportError: + if cursor == 0: + raise + cursor -= 1 + module_name = parts[:cursor] + attr_name = parts[cursor] + ret = '' + + for part in parts[cursor:]: + try: + ret = getattr(ret, part) + except AttributeError: + raise ImportError(name) + + return ret + + +if sys.version_info[0] >= 3: + def iteritems(dictionary): + return dictionary.items() +else: + def iteritems(dictionary): + return dictionary.iteritems() + + +def extends_doc(extended_func): + """ + A function decorator for use when wrapping an existing function but adding + additional functionality. This copies the docstring from the original + function, and appends to it (along with a newline) the docstring of the + wrapper function. + + Example + ------- + + >>> def foo(): + ... '''Hello.''' + ... + >>> @extends_doc(foo) + ... def bar(): + ... '''Goodbye.''' + ... + >>> print(bar.__doc__) + Hello. + + Goodbye. + + """ + + def decorator(func): + if not (extended_func.__doc__ is None or func.__doc__ is None): + func.__doc__ = '\n\n'.join([extended_func.__doc__.rstrip('\n'), + func.__doc__.lstrip('\n')]) + return func + + return decorator + + +# Duplicated from astropy.utils.decorators.deprecated +# When fixing issues in this function fix them in astropy first, then +# port the fixes over to astropy-helpers +def deprecated(since, message='', name='', alternative='', pending=False, + obj_type=None): + """ + Used to mark a function or class as deprecated. + + To mark an attribute as deprecated, use `deprecated_attribute`. + + Parameters + ------------ + since : str + The release at which this API became deprecated. This is + required. + + message : str, optional + Override the default deprecation message. The format + specifier ``func`` may be used for the name of the function, + and ``alternative`` may be used in the deprecation message + to insert the name of an alternative to the deprecated + function. ``obj_type`` may be used to insert a friendly name + for the type of object being deprecated. + + name : str, optional + The name of the deprecated function or class; if not provided + the name is automatically determined from the passed in + function or class, though this is useful in the case of + renamed functions, where the new function is just assigned to + the name of the deprecated function. For example:: + + def new_function(): + ... + oldFunction = new_function + + alternative : str, optional + An alternative function or class name that the user may use in + place of the deprecated object. The deprecation warning will + tell the user about this alternative if provided. + + pending : bool, optional + If True, uses a AstropyPendingDeprecationWarning instead of a + AstropyDeprecationWarning. + + obj_type : str, optional + The type of this object, if the automatically determined one + needs to be overridden. + """ + + method_types = (classmethod, staticmethod, types.MethodType) + + def deprecate_doc(old_doc, message): + """ + Returns a given docstring with a deprecation message prepended + to it. + """ + if not old_doc: + old_doc = '' + old_doc = textwrap.dedent(old_doc).strip('\n') + new_doc = (('\n.. deprecated:: %(since)s' + '\n %(message)s\n\n' % + {'since': since, 'message': message.strip()}) + old_doc) + if not old_doc: + # This is to prevent a spurious 'unexpected unindent' warning from + # docutils when the original docstring was blank. + new_doc += r'\ ' + return new_doc + + def get_function(func): + """ + Given a function or classmethod (or other function wrapper type), get + the function object. + """ + if isinstance(func, method_types): + func = func.__func__ + return func + + def deprecate_function(func, message): + """ + Returns a wrapped function that displays an + ``AstropyDeprecationWarning`` when it is called. + """ + + if isinstance(func, method_types): + func_wrapper = type(func) + else: + func_wrapper = lambda f: f + + func = get_function(func) + + def deprecated_func(*args, **kwargs): + if pending: + category = AstropyPendingDeprecationWarning + else: + category = AstropyDeprecationWarning + + warnings.warn(message, category, stacklevel=2) + + return func(*args, **kwargs) + + # If this is an extension function, we can't call + # functools.wraps on it, but we normally don't care. + # This crazy way to get the type of a wrapper descriptor is + # straight out of the Python 3.3 inspect module docs. + if type(func) != type(str.__dict__['__add__']): + deprecated_func = functools.wraps(func)(deprecated_func) + + deprecated_func.__doc__ = deprecate_doc( + deprecated_func.__doc__, message) + + return func_wrapper(deprecated_func) + + def deprecate_class(cls, message): + """ + Returns a wrapper class with the docstrings updated and an + __init__ function that will raise an + ``AstropyDeprectationWarning`` warning when called. + """ + # Creates a new class with the same name and bases as the + # original class, but updates the dictionary with a new + # docstring and a wrapped __init__ method. __module__ needs + # to be manually copied over, since otherwise it will be set + # to *this* module (astropy.utils.misc). + + # This approach seems to make Sphinx happy (the new class + # looks enough like the original class), and works with + # extension classes (which functools.wraps does not, since + # it tries to modify the original class). + + # We need to add a custom pickler or you'll get + # Can't pickle : it's not found as ... + # errors. Picklability is required for any class that is + # documented by Sphinx. + + members = cls.__dict__.copy() + + members.update({ + '__doc__': deprecate_doc(cls.__doc__, message), + '__init__': deprecate_function(get_function(cls.__init__), + message), + }) + + return type(cls.__name__, cls.__bases__, members) + + def deprecate(obj, message=message, name=name, alternative=alternative, + pending=pending): + if obj_type is None: + if isinstance(obj, type): + obj_type_name = 'class' + elif inspect.isfunction(obj): + obj_type_name = 'function' + elif inspect.ismethod(obj) or isinstance(obj, method_types): + obj_type_name = 'method' + else: + obj_type_name = 'object' + else: + obj_type_name = obj_type + + if not name: + name = get_function(obj).__name__ + + altmessage = '' + if not message or type(message) == type(deprecate): + if pending: + message = ('The %(func)s %(obj_type)s will be deprecated in a ' + 'future version.') + else: + message = ('The %(func)s %(obj_type)s is deprecated and may ' + 'be removed in a future version.') + if alternative: + altmessage = '\n Use %s instead.' % alternative + + message = ((message % { + 'func': name, + 'name': name, + 'alternative': alternative, + 'obj_type': obj_type_name}) + + altmessage) + + if isinstance(obj, type): + return deprecate_class(obj, message) + else: + return deprecate_function(obj, message) + + if type(message) == type(deprecate): + return deprecate(message) + + return deprecate + + +def deprecated_attribute(name, since, message=None, alternative=None, + pending=False): + """ + Used to mark a public attribute as deprecated. This creates a + property that will warn when the given attribute name is accessed. + To prevent the warning (i.e. for internal code), use the private + name for the attribute by prepending an underscore + (i.e. ``self._name``). + + Parameters + ---------- + name : str + The name of the deprecated attribute. + + since : str + The release at which this API became deprecated. This is + required. + + message : str, optional + Override the default deprecation message. The format + specifier ``name`` may be used for the name of the attribute, + and ``alternative`` may be used in the deprecation message + to insert the name of an alternative to the deprecated + function. + + alternative : str, optional + An alternative attribute that the user may use in place of the + deprecated attribute. The deprecation warning will tell the + user about this alternative if provided. + + pending : bool, optional + If True, uses a AstropyPendingDeprecationWarning instead of a + AstropyDeprecationWarning. + + Examples + -------- + + :: + + class MyClass: + # Mark the old_name as deprecated + old_name = misc.deprecated_attribute('old_name', '0.1') + + def method(self): + self._old_name = 42 + """ + private_name = '_' + name + + @deprecated(since, name=name, obj_type='attribute') + def get(self): + return getattr(self, private_name) + + @deprecated(since, name=name, obj_type='attribute') + def set(self, val): + setattr(self, private_name, val) + + @deprecated(since, name=name, obj_type='attribute') + def delete(self): + delattr(self, private_name) + + return property(get, set, delete) + + +def minversion(module, version, inclusive=True, version_path='__version__'): + """ + Returns `True` if the specified Python module satisfies a minimum version + requirement, and `False` if not. + + By default this uses `pkg_resources.parse_version` to do the version + comparison if available. Otherwise it falls back on + `distutils.version.LooseVersion`. + + Parameters + ---------- + + module : module or `str` + An imported module of which to check the version, or the name of + that module (in which case an import of that module is attempted-- + if this fails `False` is returned). + + version : `str` + The version as a string that this module must have at a minimum (e.g. + ``'0.12'``). + + inclusive : `bool` + The specified version meets the requirement inclusively (i.e. ``>=``) + as opposed to strictly greater than (default: `True`). + + version_path : `str` + A dotted attribute path to follow in the module for the version. + Defaults to just ``'__version__'``, which should work for most Python + modules. + + Examples + -------- + + >>> import astropy + >>> minversion(astropy, '0.4.4') + True + """ + + if isinstance(module, types.ModuleType): + module_name = module.__name__ + elif isinstance(module, string_types): + module_name = module + try: + module = resolve_name(module_name) + except ImportError: + return False + else: + raise ValueError('module argument must be an actual imported ' + 'module, or the import name of the module; ' + 'got {0!r}'.format(module)) + + if '.' not in version_path: + have_version = getattr(module, version_path) + else: + have_version = resolve_name('.'.join([module.__name__, version_path])) + + try: + from pkg_resources import parse_version + except ImportError: + from distutils.version import LooseVersion as parse_version + + if inclusive: + return parse_version(have_version) >= parse_version(version) + else: + return parse_version(have_version) > parse_version(version) + + +# Copy of the classproperty decorator from astropy.utils.decorators +class classproperty(property): + """ + Similar to `property`, but allows class-level properties. That is, + a property whose getter is like a `classmethod`. + + The wrapped method may explicitly use the `classmethod` decorator (which + must become before this decorator), or the `classmethod` may be omitted + (it is implicit through use of this decorator). + + .. note:: + + classproperty only works for *read-only* properties. It does not + currently allow writeable/deleteable properties, due to subtleties of how + Python descriptors work. In order to implement such properties on a class + a metaclass for that class must be implemented. + + Parameters + ---------- + fget : callable + The function that computes the value of this property (in particular, + the function when this is used as a decorator) a la `property`. + + doc : str, optional + The docstring for the property--by default inherited from the getter + function. + + lazy : bool, optional + If True, caches the value returned by the first call to the getter + function, so that it is only called once (used for lazy evaluation + of an attribute). This is analogous to `lazyproperty`. The ``lazy`` + argument can also be used when `classproperty` is used as a decorator + (see the third example below). When used in the decorator syntax this + *must* be passed in as a keyword argument. + + Examples + -------- + + :: + + >>> class Foo(object): + ... _bar_internal = 1 + ... @classproperty + ... def bar(cls): + ... return cls._bar_internal + 1 + ... + >>> Foo.bar + 2 + >>> foo_instance = Foo() + >>> foo_instance.bar + 2 + >>> foo_instance._bar_internal = 2 + >>> foo_instance.bar # Ignores instance attributes + 2 + + As previously noted, a `classproperty` is limited to implementing + read-only attributes:: + + >>> class Foo(object): + ... _bar_internal = 1 + ... @classproperty + ... def bar(cls): + ... return cls._bar_internal + ... @bar.setter + ... def bar(cls, value): + ... cls._bar_internal = value + ... + Traceback (most recent call last): + ... + NotImplementedError: classproperty can only be read-only; use a + metaclass to implement modifiable class-level properties + + When the ``lazy`` option is used, the getter is only called once:: + + >>> class Foo(object): + ... @classproperty(lazy=True) + ... def bar(cls): + ... print("Performing complicated calculation") + ... return 1 + ... + >>> Foo.bar + Performing complicated calculation + 1 + >>> Foo.bar + 1 + + If a subclass inherits a lazy `classproperty` the property is still + re-evaluated for the subclass:: + + >>> class FooSub(Foo): + ... pass + ... + >>> FooSub.bar + Performing complicated calculation + 1 + >>> FooSub.bar + 1 + """ + + def __new__(cls, fget=None, doc=None, lazy=False): + if fget is None: + # Being used as a decorator--return a wrapper that implements + # decorator syntax + def wrapper(func): + return cls(func, lazy=lazy) + + return wrapper + + return super(classproperty, cls).__new__(cls) + + def __init__(self, fget, doc=None, lazy=False): + self._lazy = lazy + if lazy: + self._cache = {} + fget = self._wrap_fget(fget) + + super(classproperty, self).__init__(fget=fget, doc=doc) + + # There is a buglet in Python where self.__doc__ doesn't + # get set properly on instances of property subclasses if + # the doc argument was used rather than taking the docstring + # from fget + if doc is not None: + self.__doc__ = doc + + def __get__(self, obj, objtype=None): + if self._lazy and objtype in self._cache: + return self._cache[objtype] + + if objtype is not None: + # The base property.__get__ will just return self here; + # instead we pass objtype through to the original wrapped + # function (which takes the class as its sole argument) + val = self.fget.__wrapped__(objtype) + else: + val = super(classproperty, self).__get__(obj, objtype=objtype) + + if self._lazy: + if objtype is None: + objtype = obj.__class__ + + self._cache[objtype] = val + + return val + + def getter(self, fget): + return super(classproperty, self).getter(self._wrap_fget(fget)) + + def setter(self, fset): + raise NotImplementedError( + "classproperty can only be read-only; use a metaclass to " + "implement modifiable class-level properties") + + def deleter(self, fdel): + raise NotImplementedError( + "classproperty can only be read-only; use a metaclass to " + "implement modifiable class-level properties") + + @staticmethod + def _wrap_fget(orig_fget): + if isinstance(orig_fget, classmethod): + orig_fget = orig_fget.__func__ + + # Using stock functools.wraps instead of the fancier version + # found later in this module, which is overkill for this purpose + + @functools.wraps(orig_fget) + def fget(obj): + return orig_fget(obj.__class__) + + # Set the __wrapped__ attribute manually for support on Python 2 + fget.__wrapped__ = orig_fget + + return fget + + +def find_data_files(package, pattern): + """ + Include files matching ``pattern`` inside ``package``. + + Parameters + ---------- + package : str + The package inside which to look for data files + pattern : str + Pattern (glob-style) to match for the data files (e.g. ``*.dat``). + This supports the Python 3.5 ``**``recursive syntax. For example, + ``**/*.fits`` matches all files ending with ``.fits`` + recursively. Only one instance of ``**`` can be included in the + pattern. + """ + + if sys.version_info[:2] >= (3, 5): + return glob.glob(os.path.join(package, pattern), recursive=True) + else: + if '**' in pattern: + start, end = pattern.split('**') + if end.startswith(('/', os.sep)): + end = end[1:] + matches = glob.glob(os.path.join(package, start, end)) + for root, dirs, files in os.walk(os.path.join(package, start)): + for dirname in dirs: + matches += glob.glob(os.path.join(root, dirname, end)) + return matches + else: + return glob.glob(os.path.join(package, pattern)) diff --git a/astropy_helpers/astropy_helpers/version_helpers.py b/astropy_helpers/astropy_helpers/version_helpers.py new file mode 100644 index 00000000..3f8bd1c4 --- /dev/null +++ b/astropy_helpers/astropy_helpers/version_helpers.py @@ -0,0 +1,300 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst + +""" +Utilities for generating the version string for Astropy (or an affiliated +package) and the version.py module, which contains version info for the +package. + +Within the generated astropy.version module, the `major`, `minor`, and `bugfix` +variables hold the respective parts of the version number (bugfix is '0' if +absent). The `release` variable is True if this is a release, and False if this +is a development version of astropy. For the actual version string, use:: + + from astropy.version import version + +or:: + + from astropy import __version__ + +""" + +from __future__ import division + +import datetime +import imp +import os +import pkgutil +import sys +import time + +from distutils import log + +import pkg_resources + +from . import git_helpers +from .distutils_helpers import is_distutils_display_option +from .utils import invalidate_caches + +PY3 = sys.version_info[0] == 3 + + +def _version_split(version): + """ + Split a version string into major, minor, and bugfix numbers. If any of + those numbers are missing the default is zero. Any pre/post release + modifiers are ignored. + + Examples + ======== + >>> _version_split('1.2.3') + (1, 2, 3) + >>> _version_split('1.2') + (1, 2, 0) + >>> _version_split('1.2rc1') + (1, 2, 0) + >>> _version_split('1') + (1, 0, 0) + >>> _version_split('') + (0, 0, 0) + """ + + parsed_version = pkg_resources.parse_version(version) + + if hasattr(parsed_version, 'base_version'): + # New version parsing for setuptools >= 8.0 + if parsed_version.base_version: + parts = [int(part) + for part in parsed_version.base_version.split('.')] + else: + parts = [] + else: + parts = [] + for part in parsed_version: + if part.startswith('*'): + # Ignore any .dev, a, b, rc, etc. + break + parts.append(int(part)) + + if len(parts) < 3: + parts += [0] * (3 - len(parts)) + + # In principle a version could have more parts (like 1.2.3.4) but we only + # support .. + return tuple(parts[:3]) + + +# This is used by setup.py to create a new version.py - see that file for +# details. Note that the imports have to be absolute, since this is also used +# by affiliated packages. +_FROZEN_VERSION_PY_TEMPLATE = """ +# Autogenerated by {packagetitle}'s setup.py on {timestamp!s} +from __future__ import unicode_literals +import datetime + +{header} + +major = {major} +minor = {minor} +bugfix = {bugfix} + +release = {rel} +timestamp = {timestamp!r} +debug = {debug} + +try: + from ._compiler import compiler +except ImportError: + compiler = "unknown" + +try: + from .cython_version import cython_version +except ImportError: + cython_version = "unknown" +"""[1:] + + +_FROZEN_VERSION_PY_WITH_GIT_HEADER = """ +{git_helpers} + +_packagename = "{packagename}" +_last_generated_version = "{verstr}" +_last_githash = "{githash}" + +# Determine where the source code for this module +# lives. If __file__ is not a filesystem path then +# it is assumed not to live in a git repo at all. +if _get_repo_path(__file__, levels=len(_packagename.split('.'))): + version = update_git_devstr(_last_generated_version, path=__file__) + githash = get_git_devstr(sha=True, show_warning=False, + path=__file__) or _last_githash +else: + # The file does not appear to live in a git repo so don't bother + # invoking git + version = _last_generated_version + githash = _last_githash +"""[1:] + + +_FROZEN_VERSION_PY_STATIC_HEADER = """ +version = "{verstr}" +githash = "{githash}" +"""[1:] + + +def _get_version_py_str(packagename, version, githash, release, debug, + uses_git=True): + epoch = int(os.environ.get('SOURCE_DATE_EPOCH', time.time())) + timestamp = datetime.datetime.utcfromtimestamp(epoch) + major, minor, bugfix = _version_split(version) + + if packagename.lower() == 'astropy': + packagetitle = 'Astropy' + else: + packagetitle = 'Astropy-affiliated package ' + packagename + + header = '' + + if uses_git: + header = _generate_git_header(packagename, version, githash) + elif not githash: + # _generate_git_header will already generate a new git has for us, but + # for creating a new version.py for a release (even if uses_git=False) + # we still need to get the githash to include in the version.py + # See https://github.com/astropy/astropy-helpers/issues/141 + githash = git_helpers.get_git_devstr(sha=True, show_warning=True) + + if not header: # If _generate_git_header fails it returns an empty string + header = _FROZEN_VERSION_PY_STATIC_HEADER.format(verstr=version, + githash=githash) + + return _FROZEN_VERSION_PY_TEMPLATE.format(packagetitle=packagetitle, + timestamp=timestamp, + header=header, + major=major, + minor=minor, + bugfix=bugfix, + rel=release, debug=debug) + + +def _generate_git_header(packagename, version, githash): + """ + Generates a header to the version.py module that includes utilities for + probing the git repository for updates (to the current git hash, etc.) + These utilities should only be available in development versions, and not + in release builds. + + If this fails for any reason an empty string is returned. + """ + + loader = pkgutil.get_loader(git_helpers) + source = loader.get_source(git_helpers.__name__) or '' + source_lines = source.splitlines() + if not source_lines: + log.warn('Cannot get source code for astropy_helpers.git_helpers; ' + 'git support disabled.') + return '' + + idx = 0 + for idx, line in enumerate(source_lines): + if line.startswith('# BEGIN'): + break + git_helpers_py = '\n'.join(source_lines[idx + 1:]) + + if PY3: + verstr = version + else: + # In Python 2 don't pass in a unicode string; otherwise verstr will + # be represented with u'' syntax which breaks on Python 3.x with x + # < 3. This is only an issue when developing on multiple Python + # versions at once + verstr = version.encode('utf8') + + new_githash = git_helpers.get_git_devstr(sha=True, show_warning=False) + + if new_githash: + githash = new_githash + + return _FROZEN_VERSION_PY_WITH_GIT_HEADER.format( + git_helpers=git_helpers_py, packagename=packagename, + verstr=verstr, githash=githash) + + +def generate_version_py(packagename, version, release=None, debug=None, + uses_git=True, srcdir='.'): + """Regenerate the version.py module if necessary.""" + + try: + version_module = get_pkg_version_module(packagename) + + try: + last_generated_version = version_module._last_generated_version + except AttributeError: + last_generated_version = version_module.version + + try: + last_githash = version_module._last_githash + except AttributeError: + last_githash = version_module.githash + + current_release = version_module.release + current_debug = version_module.debug + except ImportError: + version_module = None + last_generated_version = None + last_githash = None + current_release = None + current_debug = None + + if release is None: + # Keep whatever the current value is, if it exists + release = bool(current_release) + + if debug is None: + # Likewise, keep whatever the current value is, if it exists + debug = bool(current_debug) + + version_py = os.path.join(srcdir, packagename, 'version.py') + + if (last_generated_version != version or current_release != release or + current_debug != debug): + if '-q' not in sys.argv and '--quiet' not in sys.argv: + log.set_threshold(log.INFO) + + if is_distutils_display_option(): + # Always silence unnecessary log messages when display options are + # being used + log.set_threshold(log.WARN) + + log.info('Freezing version number to {0}'.format(version_py)) + + with open(version_py, 'w') as f: + # This overwrites the actual version.py + f.write(_get_version_py_str(packagename, version, last_githash, + release, debug, uses_git=uses_git)) + + invalidate_caches() + + if version_module: + imp.reload(version_module) + + +def get_pkg_version_module(packagename, fromlist=None): + """Returns the package's .version module generated by + `astropy_helpers.version_helpers.generate_version_py`. Raises an + ImportError if the version module is not found. + + If ``fromlist`` is an iterable, return a tuple of the members of the + version module corresponding to the member names given in ``fromlist``. + Raises an `AttributeError` if any of these module members are not found. + """ + + if not fromlist: + # Due to a historical quirk of Python's import implementation, + # __import__ will not return submodules of a package if 'fromlist' is + # empty. + # TODO: For Python 3.1 and up it may be preferable to use importlib + # instead of the __import__ builtin + return __import__(packagename + '.version', fromlist=['']) + else: + mod = __import__(packagename + '.version', fromlist=fromlist) + return tuple(getattr(mod, member) for member in fromlist) diff --git a/astropy_helpers/ez_setup.py b/astropy_helpers/ez_setup.py new file mode 100644 index 00000000..800c31ef --- /dev/null +++ b/astropy_helpers/ez_setup.py @@ -0,0 +1,414 @@ +#!/usr/bin/env python + +""" +Setuptools bootstrapping installer. + +Maintained at https://github.com/pypa/setuptools/tree/bootstrap. + +Run this script to install or upgrade setuptools. + +This method is DEPRECATED. Check https://github.com/pypa/setuptools/issues/581 for more details. +""" + +import os +import shutil +import sys +import tempfile +import zipfile +import optparse +import subprocess +import platform +import textwrap +import contextlib + +from distutils import log + +try: + from urllib.request import urlopen +except ImportError: + from urllib2 import urlopen + +try: + from site import USER_SITE +except ImportError: + USER_SITE = None + +# 33.1.1 is the last version that supports setuptools self upgrade/installation. +DEFAULT_VERSION = "33.1.1" +DEFAULT_URL = "https://pypi.io/packages/source/s/setuptools/" +DEFAULT_SAVE_DIR = os.curdir +DEFAULT_DEPRECATION_MESSAGE = "ez_setup.py is deprecated and when using it setuptools will be pinned to {0} since it's the last version that supports setuptools self upgrade/installation, check https://github.com/pypa/setuptools/issues/581 for more info; use pip to install setuptools" + +MEANINGFUL_INVALID_ZIP_ERR_MSG = 'Maybe {0} is corrupted, delete it and try again.' + +log.warn(DEFAULT_DEPRECATION_MESSAGE.format(DEFAULT_VERSION)) + + +def _python_cmd(*args): + """ + Execute a command. + + Return True if the command succeeded. + """ + args = (sys.executable,) + args + return subprocess.call(args) == 0 + + +def _install(archive_filename, install_args=()): + """Install Setuptools.""" + with archive_context(archive_filename): + # installing + log.warn('Installing Setuptools') + if not _python_cmd('setup.py', 'install', *install_args): + log.warn('Something went wrong during the installation.') + log.warn('See the error message above.') + # exitcode will be 2 + return 2 + + +def _build_egg(egg, archive_filename, to_dir): + """Build Setuptools egg.""" + with archive_context(archive_filename): + # building an egg + log.warn('Building a Setuptools egg in %s', to_dir) + _python_cmd('setup.py', '-q', 'bdist_egg', '--dist-dir', to_dir) + # returning the result + log.warn(egg) + if not os.path.exists(egg): + raise IOError('Could not build the egg.') + + +class ContextualZipFile(zipfile.ZipFile): + + """Supplement ZipFile class to support context manager for Python 2.6.""" + + def __enter__(self): + return self + + def __exit__(self, type, value, traceback): + self.close() + + def __new__(cls, *args, **kwargs): + """Construct a ZipFile or ContextualZipFile as appropriate.""" + if hasattr(zipfile.ZipFile, '__exit__'): + return zipfile.ZipFile(*args, **kwargs) + return super(ContextualZipFile, cls).__new__(cls) + + +@contextlib.contextmanager +def archive_context(filename): + """ + Unzip filename to a temporary directory, set to the cwd. + + The unzipped target is cleaned up after. + """ + tmpdir = tempfile.mkdtemp() + log.warn('Extracting in %s', tmpdir) + old_wd = os.getcwd() + try: + os.chdir(tmpdir) + try: + with ContextualZipFile(filename) as archive: + archive.extractall() + except zipfile.BadZipfile as err: + if not err.args: + err.args = ('', ) + err.args = err.args + ( + MEANINGFUL_INVALID_ZIP_ERR_MSG.format(filename), + ) + raise + + # going in the directory + subdir = os.path.join(tmpdir, os.listdir(tmpdir)[0]) + os.chdir(subdir) + log.warn('Now working in %s', subdir) + yield + + finally: + os.chdir(old_wd) + shutil.rmtree(tmpdir) + + +def _do_download(version, download_base, to_dir, download_delay): + """Download Setuptools.""" + py_desig = 'py{sys.version_info[0]}.{sys.version_info[1]}'.format(sys=sys) + tp = 'setuptools-{version}-{py_desig}.egg' + egg = os.path.join(to_dir, tp.format(**locals())) + if not os.path.exists(egg): + archive = download_setuptools(version, download_base, + to_dir, download_delay) + _build_egg(egg, archive, to_dir) + sys.path.insert(0, egg) + + # Remove previously-imported pkg_resources if present (see + # https://bitbucket.org/pypa/setuptools/pull-request/7/ for details). + if 'pkg_resources' in sys.modules: + _unload_pkg_resources() + + import setuptools + setuptools.bootstrap_install_from = egg + + +def use_setuptools( + version=DEFAULT_VERSION, download_base=DEFAULT_URL, + to_dir=DEFAULT_SAVE_DIR, download_delay=15): + """ + Ensure that a setuptools version is installed. + + Return None. Raise SystemExit if the requested version + or later cannot be installed. + """ + to_dir = os.path.abspath(to_dir) + + # prior to importing, capture the module state for + # representative modules. + rep_modules = 'pkg_resources', 'setuptools' + imported = set(sys.modules).intersection(rep_modules) + + try: + import pkg_resources + pkg_resources.require("setuptools>=" + version) + # a suitable version is already installed + return + except ImportError: + # pkg_resources not available; setuptools is not installed; download + pass + except pkg_resources.DistributionNotFound: + # no version of setuptools was found; allow download + pass + except pkg_resources.VersionConflict as VC_err: + if imported: + _conflict_bail(VC_err, version) + + # otherwise, unload pkg_resources to allow the downloaded version to + # take precedence. + del pkg_resources + _unload_pkg_resources() + + return _do_download(version, download_base, to_dir, download_delay) + + +def _conflict_bail(VC_err, version): + """ + Setuptools was imported prior to invocation, so it is + unsafe to unload it. Bail out. + """ + conflict_tmpl = textwrap.dedent(""" + The required version of setuptools (>={version}) is not available, + and can't be installed while this script is running. Please + install a more recent version first, using + 'easy_install -U setuptools'. + + (Currently using {VC_err.args[0]!r}) + """) + msg = conflict_tmpl.format(**locals()) + sys.stderr.write(msg) + sys.exit(2) + + +def _unload_pkg_resources(): + sys.meta_path = [ + importer + for importer in sys.meta_path + if importer.__class__.__module__ != 'pkg_resources.extern' + ] + del_modules = [ + name for name in sys.modules + if name.startswith('pkg_resources') + ] + for mod_name in del_modules: + del sys.modules[mod_name] + + +def _clean_check(cmd, target): + """ + Run the command to download target. + + If the command fails, clean up before re-raising the error. + """ + try: + subprocess.check_call(cmd) + except subprocess.CalledProcessError: + if os.access(target, os.F_OK): + os.unlink(target) + raise + + +def download_file_powershell(url, target): + """ + Download the file at url to target using Powershell. + + Powershell will validate trust. + Raise an exception if the command cannot complete. + """ + target = os.path.abspath(target) + ps_cmd = ( + "[System.Net.WebRequest]::DefaultWebProxy.Credentials = " + "[System.Net.CredentialCache]::DefaultCredentials; " + '(new-object System.Net.WebClient).DownloadFile("%(url)s", "%(target)s")' + % locals() + ) + cmd = [ + 'powershell', + '-Command', + ps_cmd, + ] + _clean_check(cmd, target) + + +def has_powershell(): + """Determine if Powershell is available.""" + if platform.system() != 'Windows': + return False + cmd = ['powershell', '-Command', 'echo test'] + with open(os.path.devnull, 'wb') as devnull: + try: + subprocess.check_call(cmd, stdout=devnull, stderr=devnull) + except Exception: + return False + return True +download_file_powershell.viable = has_powershell + + +def download_file_curl(url, target): + cmd = ['curl', url, '--location', '--silent', '--output', target] + _clean_check(cmd, target) + + +def has_curl(): + cmd = ['curl', '--version'] + with open(os.path.devnull, 'wb') as devnull: + try: + subprocess.check_call(cmd, stdout=devnull, stderr=devnull) + except Exception: + return False + return True +download_file_curl.viable = has_curl + + +def download_file_wget(url, target): + cmd = ['wget', url, '--quiet', '--output-document', target] + _clean_check(cmd, target) + + +def has_wget(): + cmd = ['wget', '--version'] + with open(os.path.devnull, 'wb') as devnull: + try: + subprocess.check_call(cmd, stdout=devnull, stderr=devnull) + except Exception: + return False + return True +download_file_wget.viable = has_wget + + +def download_file_insecure(url, target): + """Use Python to download the file, without connection authentication.""" + src = urlopen(url) + try: + # Read all the data in one block. + data = src.read() + finally: + src.close() + + # Write all the data in one block to avoid creating a partial file. + with open(target, "wb") as dst: + dst.write(data) +download_file_insecure.viable = lambda: True + + +def get_best_downloader(): + downloaders = ( + download_file_powershell, + download_file_curl, + download_file_wget, + download_file_insecure, + ) + viable_downloaders = (dl for dl in downloaders if dl.viable()) + return next(viable_downloaders, None) + + +def download_setuptools( + version=DEFAULT_VERSION, download_base=DEFAULT_URL, + to_dir=DEFAULT_SAVE_DIR, delay=15, + downloader_factory=get_best_downloader): + """ + Download setuptools from a specified location and return its filename. + + `version` should be a valid setuptools version number that is available + as an sdist for download under the `download_base` URL (which should end + with a '/'). `to_dir` is the directory where the egg will be downloaded. + `delay` is the number of seconds to pause before an actual download + attempt. + + ``downloader_factory`` should be a function taking no arguments and + returning a function for downloading a URL to a target. + """ + # making sure we use the absolute path + to_dir = os.path.abspath(to_dir) + zip_name = "setuptools-%s.zip" % version + url = download_base + zip_name + saveto = os.path.join(to_dir, zip_name) + if not os.path.exists(saveto): # Avoid repeated downloads + log.warn("Downloading %s", url) + downloader = downloader_factory() + downloader(url, saveto) + return os.path.realpath(saveto) + + +def _build_install_args(options): + """ + Build the arguments to 'python setup.py install' on the setuptools package. + + Returns list of command line arguments. + """ + return ['--user'] if options.user_install else [] + + +def _parse_args(): + """Parse the command line for options.""" + parser = optparse.OptionParser() + parser.add_option( + '--user', dest='user_install', action='store_true', default=False, + help='install in user site package') + parser.add_option( + '--download-base', dest='download_base', metavar="URL", + default=DEFAULT_URL, + help='alternative URL from where to download the setuptools package') + parser.add_option( + '--insecure', dest='downloader_factory', action='store_const', + const=lambda: download_file_insecure, default=get_best_downloader, + help='Use internal, non-validating downloader' + ) + parser.add_option( + '--version', help="Specify which version to download", + default=DEFAULT_VERSION, + ) + parser.add_option( + '--to-dir', + help="Directory to save (and re-use) package", + default=DEFAULT_SAVE_DIR, + ) + options, args = parser.parse_args() + # positional arguments are ignored + return options + + +def _download_args(options): + """Return args for download_setuptools function from cmdline args.""" + return dict( + version=options.version, + download_base=options.download_base, + downloader_factory=options.downloader_factory, + to_dir=options.to_dir, + ) + + +def main(): + """Install or upgrade setuptools and EasyInstall.""" + options = _parse_args() + archive = download_setuptools(**_download_args(options)) + return _install(archive, _build_install_args(options)) + +if __name__ == '__main__': + sys.exit(main()) diff --git a/astropy_helpers/licenses/LICENSE_ASTROSCRAPPY.rst b/astropy_helpers/licenses/LICENSE_ASTROSCRAPPY.rst new file mode 100644 index 00000000..9781722e --- /dev/null +++ b/astropy_helpers/licenses/LICENSE_ASTROSCRAPPY.rst @@ -0,0 +1,28 @@ +# The OpenMP helpers include code heavily adapted from astroscrappy, released +# under the following license: +# +# Copyright (c) 2015, Curtis McCully +# All rights reserved. +# +# Redistribution and use in source and binary forms, with or without modification, +# are permitted provided that the following conditions are met: +# +# * Redistributions of source code must retain the above copyright notice, this +# list of conditions and the following disclaimer. +# * Redistributions in binary form must reproduce the above copyright notice, this +# list of conditions and the following disclaimer in the documentation and/or +# other materials provided with the distribution. +# * Neither the name of the Astropy Team nor the names of its contributors may be +# used to endorse or promote products derived from this software without +# specific prior written permission. +# +# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR +# ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON +# ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/astropy_helpers/licenses/LICENSE_COPYBUTTON.rst b/astropy_helpers/licenses/LICENSE_COPYBUTTON.rst new file mode 100644 index 00000000..7b52bf4b --- /dev/null +++ b/astropy_helpers/licenses/LICENSE_COPYBUTTON.rst @@ -0,0 +1,50 @@ +Copyright 2014 Python Software Foundation +License: PSF + PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2 + -------------------------------------------- + . + 1. This LICENSE AGREEMENT is between the Python Software Foundation + ("PSF"), and the Individual or Organization ("Licensee") accessing and + otherwise using this software ("Python") in source or binary form and + its associated documentation. + . + 2. Subject to the terms and conditions of this License Agreement, PSF + hereby grants Licensee a nonexclusive, royalty-free, world-wide + license to reproduce, analyze, test, perform and/or display publicly, + prepare derivative works, distribute, and otherwise use Python + alone or in any derivative version, provided, however, that PSF's + License Agreement and PSF's notice of copyright, i.e., "Copyright (c) + 2001, 2002, 2003, 2004, 2005, 2006 Python Software Foundation; All Rights + Reserved" are retained in Python alone or in any derivative version + prepared by Licensee. + . + 3. In the event Licensee prepares a derivative work that is based on + or incorporates Python or any part thereof, and wants to make + the derivative work available to others as provided herein, then + Licensee hereby agrees to include in any such work a brief summary of + the changes made to Python. + . + 4. PSF is making Python available to Licensee on an "AS IS" + basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR + IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND + DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS + FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT + INFRINGE ANY THIRD PARTY RIGHTS. + . + 5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON + FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS + A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON, + OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. + . + 6. This License Agreement will automatically terminate upon a material + breach of its terms and conditions. + . + 7. Nothing in this License Agreement shall be deemed to create any + relationship of agency, partnership, or joint venture between PSF and + Licensee. This License Agreement does not grant permission to use PSF + trademarks or trade name in a trademark sense to endorse or promote + products or services of Licensee, or any third party. + . + 8. By copying, installing or otherwise using Python, Licensee + agrees to be bound by the terms and conditions of this License + Agreement. diff --git a/astropy_helpers/licenses/LICENSE_NUMPYDOC.rst b/astropy_helpers/licenses/LICENSE_NUMPYDOC.rst new file mode 100644 index 00000000..b15c699d --- /dev/null +++ b/astropy_helpers/licenses/LICENSE_NUMPYDOC.rst @@ -0,0 +1,94 @@ +------------------------------------------------------------------------------- + The files + - numpydoc.py + - docscrape.py + - docscrape_sphinx.py + - phantom_import.py + have the following license: + +Copyright (C) 2008 Stefan van der Walt , Pauli Virtanen + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + + 1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + 2. 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IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR +ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON +ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + +------------------------------------------------------------------------------- + The file + - plot_directive.py + originates from Matplotlib (http://matplotlib.sf.net/) which has + the following license: + +Copyright (c) 2002-2008 John D. Hunter; All Rights Reserved. + +1. This LICENSE AGREEMENT is between John D. Hunter (“JDHâ€), and the Individual or Organization (“Licenseeâ€) accessing and otherwise using matplotlib software in source or binary form and its associated documentation. + +2. Subject to the terms and conditions of this License Agreement, JDH hereby grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, analyze, test, perform and/or display publicly, prepare derivative works, distribute, and otherwise use matplotlib 0.98.3 alone or in any derivative version, provided, however, that JDH’s License Agreement and JDH’s notice of copyright, i.e., “Copyright (c) 2002-2008 John D. Hunter; All Rights Reserved†are retained in matplotlib 0.98.3 alone or in any derivative version prepared by Licensee. + +3. 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By copying, installing or otherwise using matplotlib 0.98.3, Licensee agrees to be bound by the terms and conditions of this License Agreement. + diff --git a/astropy_helpers/setup.cfg b/astropy_helpers/setup.cfg new file mode 100644 index 00000000..9a054d59 --- /dev/null +++ b/astropy_helpers/setup.cfg @@ -0,0 +1,5 @@ +[tool:pytest] +norecursedirs = + .tox + astropy_helpers/tests/package_template +python_functions = test_ diff --git a/astropy_helpers/setup.py b/astropy_helpers/setup.py new file mode 100755 index 00000000..1e666680 --- /dev/null +++ b/astropy_helpers/setup.py @@ -0,0 +1,50 @@ +#!/usr/bin/env python +# Licensed under a 3-clause BSD style license - see LICENSE.rst + +import ah_bootstrap +import pkg_resources +from setuptools import setup +from astropy_helpers.setup_helpers import register_commands, get_package_info +from astropy_helpers.version_helpers import generate_version_py + +NAME = 'astropy_helpers' +VERSION = '3.0.dev' +RELEASE = 'dev' not in VERSION + +generate_version_py(NAME, VERSION, RELEASE, False, uses_git=not RELEASE) + +# Use the updated version including the git rev count +from astropy_helpers.version import version as VERSION + +cmdclass = register_commands(NAME, VERSION, RELEASE) +# This package actually doesn't use the Astropy test command +del cmdclass['test'] + +setup( + name=pkg_resources.safe_name(NAME), # astropy_helpers -> astropy-helpers + version=VERSION, + description='Utilities for building and installing Astropy, Astropy ' + 'affiliated packages, and their respective documentation.', + author='The Astropy Developers', + author_email='astropy.team@gmail.com', + license='BSD', + url=' https://github.com/astropy/astropy-helpers', + long_description=open('README.rst').read(), + classifiers=[ + 'Development Status :: 5 - Production/Stable', + 'Intended Audience :: Developers', + 'Framework :: Setuptools Plugin', + 'Framework :: Sphinx :: Extension', + 'Framework :: Sphinx :: Theme', + 'License :: OSI Approved :: BSD License', + 'Operating System :: OS Independent', + 'Programming Language :: Python', + 'Programming Language :: Python :: 3', + 'Topic :: Software Development :: Build Tools', + 'Topic :: Software Development :: Libraries :: Python Modules', + 'Topic :: System :: Archiving :: Packaging' + ], + cmdclass=cmdclass, + zip_safe=False, + **get_package_info(exclude=['astropy_helpers.tests']) +) diff --git a/astropy_helpers/tox.ini b/astropy_helpers/tox.ini new file mode 100644 index 00000000..fb811aab --- /dev/null +++ b/astropy_helpers/tox.ini @@ -0,0 +1,19 @@ +[tox] +envlist = py26,py27,py32,py33,py34 + +[testenv] +deps = + pytest + numpy + Cython + Sphinx==1.2.3 +# Note: Sphinx is required to run the sphinx.ext tests +commands = + py.test {posargs} +sitepackages = False + +[testenv:py32] +deps = + pygments<=1.9 + Jinja2<2.7 + {[testenv]deps} diff --git a/docs/Makefile b/docs/Makefile new file mode 100644 index 00000000..fb03f26e --- /dev/null +++ b/docs/Makefile @@ -0,0 +1,133 @@ +# Makefile for Sphinx documentation +# + +# You can set these variables from the command line. +SPHINXOPTS = +SPHINXBUILD = sphinx-build +PAPER = +BUILDDIR = _build + +# Internal variables. +PAPEROPT_a4 = -D latex_paper_size=a4 +PAPEROPT_letter = -D latex_paper_size=letter +ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . + +.PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest + +#This is needed with git because git doesn't create a dir if it's empty +$(shell [ -d "_static" ] || mkdir -p _static) + +help: + @echo "Please use \`make ' where is one of" + @echo " html to make standalone HTML files" + @echo " dirhtml to make HTML files named index.html in directories" + @echo " singlehtml to make a single large HTML file" + @echo " pickle to make pickle files" + @echo " json to make JSON files" + @echo " htmlhelp to make HTML files and a HTML help project" + @echo " qthelp to make HTML files and a qthelp project" + @echo " devhelp to make HTML files and a Devhelp project" + @echo " epub to make an epub" + @echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter" + @echo " latexpdf to make LaTeX files and run them through pdflatex" + @echo " text to make text files" + @echo " man to make manual pages" + @echo " changes to make an overview of all changed/added/deprecated items" + @echo " linkcheck to check all external links for integrity" + +clean: + -rm -rf $(BUILDDIR) + -rm -rf api + -rm -rf generated + +html: + $(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html + @echo + @echo "Build finished. The HTML pages are in $(BUILDDIR)/html." + +dirhtml: + $(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml + @echo + @echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml." + +singlehtml: + $(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml + @echo + @echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml." + +pickle: + $(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle + @echo + @echo "Build finished; now you can process the pickle files." + +json: + $(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json + @echo + @echo "Build finished; now you can process the JSON files." + +htmlhelp: + $(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp + @echo + @echo "Build finished; now you can run HTML Help Workshop with the" \ + ".hhp project file in $(BUILDDIR)/htmlhelp." + +qthelp: + $(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp + @echo + @echo "Build finished; now you can run "qcollectiongenerator" with the" \ + ".qhcp project file in $(BUILDDIR)/qthelp, like this:" + @echo "# qcollectiongenerator $(BUILDDIR)/qthelp/Astropy.qhcp" + @echo "To view the help file:" + @echo "# assistant -collectionFile $(BUILDDIR)/qthelp/Astropy.qhc" + +devhelp: + $(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp + @echo + @echo "Build finished." + @echo "To view the help file:" + @echo "# mkdir -p $$HOME/.local/share/devhelp/Astropy" + @echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/Astropy" + @echo "# devhelp" + +epub: + $(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub + @echo + @echo "Build finished. The epub file is in $(BUILDDIR)/epub." + +latex: + $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex + @echo + @echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex." + @echo "Run \`make' in that directory to run these through (pdf)latex" \ + "(use \`make latexpdf' here to do that automatically)." + +latexpdf: + $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex + @echo "Running LaTeX files through pdflatex..." + make -C $(BUILDDIR)/latex all-pdf + @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." + +text: + $(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text + @echo + @echo "Build finished. The text files are in $(BUILDDIR)/text." + +man: + $(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man + @echo + @echo "Build finished. The manual pages are in $(BUILDDIR)/man." + +changes: + $(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes + @echo + @echo "The overview file is in $(BUILDDIR)/changes." + +linkcheck: + $(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck + @echo + @echo "Link check complete; look for any errors in the above output " \ + "or in $(BUILDDIR)/linkcheck/output.txt." + +doctest: + @echo "Run 'python setup.py test' in the root directory to run doctests " \ + @echo "in the documentation." diff --git a/docs/_templates/autosummary/base.rst b/docs/_templates/autosummary/base.rst new file mode 100644 index 00000000..9cabaf52 --- /dev/null +++ b/docs/_templates/autosummary/base.rst @@ -0,0 +1,2 @@ +{% extends "autosummary_core/base.rst" %} +{# The template this is inherited from is in astropy/sphinx/ext/templates/autosummary_core. If you want to modify this template, it is strongly recommended that you still inherit from the astropy template. #} \ No newline at end of file diff --git a/docs/_templates/autosummary/class.rst b/docs/_templates/autosummary/class.rst new file mode 100644 index 00000000..6b214a5c --- /dev/null +++ b/docs/_templates/autosummary/class.rst @@ -0,0 +1,2 @@ +{% extends "autosummary_core/class.rst" %} +{# The template this is inherited from is in astropy/sphinx/ext/templates/autosummary_core. If you want to modify this template, it is strongly recommended that you still inherit from the astropy template. #} \ No newline at end of file diff --git a/docs/_templates/autosummary/module.rst b/docs/_templates/autosummary/module.rst new file mode 100644 index 00000000..f38315b2 --- /dev/null +++ b/docs/_templates/autosummary/module.rst @@ -0,0 +1,2 @@ +{% extends "autosummary_core/module.rst" %} +{# The template this is inherited from is in astropy/sphinx/ext/templates/autosummary_core. If you want to modify this template, it is strongly recommended that you still inherit from the astropy template. #} \ No newline at end of file diff --git a/docs/conf.py b/docs/conf.py new file mode 100644 index 00000000..1cd6ce0c --- /dev/null +++ b/docs/conf.py @@ -0,0 +1,181 @@ +# -*- coding: utf-8 -*- +# Licensed under a 3-clause BSD style license - see LICENSE.rst +# +# Astropy documentation build configuration file. +# +# This file is execfile()d with the current directory set to its containing dir. +# +# Note that not all possible configuration values are present in this file. +# +# All configuration values have a default. Some values are defined in +# the global Astropy configuration which is loaded here before anything else. +# See astropy.sphinx.conf for which values are set there. + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +# sys.path.insert(0, os.path.abspath('..')) +# IMPORTANT: the above commented section was generated by sphinx-quickstart, but +# is *NOT* appropriate for astropy or Astropy affiliated packages. It is left +# commented out with this explanation to make it clear why this should not be +# done. If the sys.path entry above is added, when the astropy.sphinx.conf +# import occurs, it will import the *source* version of astropy instead of the +# version installed (if invoked as "make html" or directly with sphinx), or the +# version in the build directory (if "python setup.py build_sphinx" is used). +# Thus, any C-extensions that are needed to build the documentation will *not* +# be accessible, and the documentation will not build correctly. + +import datetime +import os +import sys + +try: + import astropy_helpers +except ImportError: + # Building from inside the docs/ directory? + if os.path.basename(os.getcwd()) == 'docs': + a_h_path = os.path.abspath(os.path.join('..', 'astropy_helpers')) + if os.path.isdir(a_h_path): + sys.path.insert(1, a_h_path) + +# Load all of the global Astropy configuration +from astropy_helpers.sphinx.conf import * + +# Get configuration information from setup.cfg +try: + from ConfigParser import ConfigParser +except ImportError: + from configparser import ConfigParser +conf = ConfigParser() + +conf.read([os.path.join(os.path.dirname(__file__), '..', 'setup.cfg')]) +setup_cfg = dict(conf.items('metadata')) + +# -- General configuration ---------------------------------------------------- + +# By default, highlight as Python 3. +highlight_language = 'python3' + +# If your documentation needs a minimal Sphinx version, state it here. +#needs_sphinx = '1.2' + +# To perform a Sphinx version check that needs to be more specific than +# major.minor, call `check_sphinx_version("x.y.z")` here. +# check_sphinx_version("1.2.1") + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns.append('_templates') + +# This is added to the end of RST files - a good place to put substitutions to +# be used globally. +rst_epilog += """ +""" + +# -- Project information ------------------------------------------------------ + +# This does not *have* to match the package name, but typically does +project = setup_cfg['package_name'] +author = setup_cfg['author'] +copyright = '{0}, {1}'.format( + datetime.datetime.now().year, setup_cfg['author']) + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. + +__import__(setup_cfg['package_name']) +package = sys.modules[setup_cfg['package_name']] + +# The short X.Y version. +version = package.__version__.split('-', 1)[0] +# The full version, including alpha/beta/rc tags. +release = package.__version__ + + +# -- Options for HTML output -------------------------------------------------- + +# A NOTE ON HTML THEMES +# The global astropy configuration uses a custom theme, 'bootstrap-astropy', +# which is installed along with astropy. A different theme can be used or +# the options for this theme can be modified by overriding some of the +# variables set in the global configuration. The variables set in the +# global configuration are listed below, commented out. + + +# Add any paths that contain custom themes here, relative to this directory. +# To use a different custom theme, add the directory containing the theme. +#html_theme_path = [] + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. To override the custom theme, set this to the +# name of a builtin theme or the name of a custom theme in html_theme_path. +#html_theme = None + +# Please update these texts to match the name of your package. +html_theme_options = { + 'logotext1': 'package', # white, semi-bold + 'logotext2': '-template', # orange, light + 'logotext3': ':docs' # white, light + } + + + +# Custom sidebar templates, maps document names to template names. +#html_sidebars = {} + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +#html_logo = '' + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +#html_favicon = '' + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +#html_last_updated_fmt = '' + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +html_title = '{0} v{1}'.format(project, release) + +# Output file base name for HTML help builder. +htmlhelp_basename = project + 'doc' + + +# -- Options for LaTeX output ------------------------------------------------- + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, author, documentclass [howto/manual]). +latex_documents = [('index', project + '.tex', project + u' Documentation', + author, 'manual')] + + +# -- Options for manual page output ------------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [('index', project.lower(), project + u' Documentation', + [author], 1)] + + +# -- Options for the edit_on_github extension --------------------------------- + +if eval(setup_cfg.get('edit_on_github')): + extensions += ['astropy_helpers.sphinx.ext.edit_on_github'] + + versionmod = __import__(setup_cfg['package_name'] + '.version') + edit_on_github_project = setup_cfg['github_project'] + if versionmod.version.release: + edit_on_github_branch = "v" + versionmod.version.version + else: + edit_on_github_branch = "master" + + edit_on_github_source_root = "" + edit_on_github_doc_root = "docs" + +# -- Resolving issue number to links in changelog ----------------------------- +github_issues_url = 'https://github.com/{0}/issues/'.format(setup_cfg['github_project']) + diff --git a/docs/index.rst b/docs/index.rst new file mode 100644 index 00000000..e69de29b diff --git a/docs/make.bat b/docs/make.bat new file mode 100644 index 00000000..93dfe92b --- /dev/null +++ b/docs/make.bat @@ -0,0 +1,170 @@ +@ECHO OFF + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set BUILDDIR=_build +set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% . +if NOT "%PAPER%" == "" ( + set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS% +) + +if "%1" == "" goto help + +if "%1" == "help" ( + :help + echo.Please use `make ^` where ^ is one of + echo. html to make standalone HTML files + echo. dirhtml to make HTML files named index.html in directories + echo. singlehtml to make a single large HTML file + echo. pickle to make pickle files + echo. json to make JSON files + echo. htmlhelp to make HTML files and a HTML help project + echo. qthelp to make HTML files and a qthelp project + echo. devhelp to make HTML files and a Devhelp project + echo. epub to make an epub + echo. latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter + echo. text to make text files + echo. man to make manual pages + echo. changes to make an overview over all changed/added/deprecated items + echo. linkcheck to check all external links for integrity + echo. doctest to run all doctests embedded in the documentation if enabled + goto end +) + +if "%1" == "clean" ( + for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i + del /q /s %BUILDDIR%\* + goto end +) + +if "%1" == "html" ( + %SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html + if errorlevel 1 exit /b 1 + echo. + echo.Build finished. The HTML pages are in %BUILDDIR%/html. + goto end +) + +if "%1" == "dirhtml" ( + %SPHINXBUILD% -b dirhtml %ALLSPHINXOPTS% %BUILDDIR%/dirhtml + if errorlevel 1 exit /b 1 + echo. + echo.Build finished. The HTML pages are in %BUILDDIR%/dirhtml. + goto end +) + +if "%1" == "singlehtml" ( + %SPHINXBUILD% -b singlehtml %ALLSPHINXOPTS% %BUILDDIR%/singlehtml + if errorlevel 1 exit /b 1 + echo. + echo.Build finished. The HTML pages are in %BUILDDIR%/singlehtml. + goto end +) + +if "%1" == "pickle" ( + %SPHINXBUILD% -b pickle %ALLSPHINXOPTS% %BUILDDIR%/pickle + if errorlevel 1 exit /b 1 + echo. + echo.Build finished; now you can process the pickle files. + goto end +) + +if "%1" == "json" ( + %SPHINXBUILD% -b json %ALLSPHINXOPTS% %BUILDDIR%/json + if errorlevel 1 exit /b 1 + echo. + echo.Build finished; now you can process the JSON files. + goto end +) + +if "%1" == "htmlhelp" ( + %SPHINXBUILD% -b htmlhelp %ALLSPHINXOPTS% %BUILDDIR%/htmlhelp + if errorlevel 1 exit /b 1 + echo. + echo.Build finished; now you can run HTML Help Workshop with the ^ +.hhp project file in %BUILDDIR%/htmlhelp. + goto end +) + +if "%1" == "qthelp" ( + %SPHINXBUILD% -b qthelp %ALLSPHINXOPTS% %BUILDDIR%/qthelp + if errorlevel 1 exit /b 1 + echo. + echo.Build finished; now you can run "qcollectiongenerator" with the ^ +.qhcp project file in %BUILDDIR%/qthelp, like this: + echo.^> qcollectiongenerator %BUILDDIR%\qthelp\Astropy.qhcp + echo.To view the help file: + echo.^> assistant -collectionFile %BUILDDIR%\qthelp\Astropy.ghc + goto end +) + +if "%1" == "devhelp" ( + %SPHINXBUILD% -b devhelp %ALLSPHINXOPTS% %BUILDDIR%/devhelp + if errorlevel 1 exit /b 1 + echo. + echo.Build finished. + goto end +) + +if "%1" == "epub" ( + %SPHINXBUILD% -b epub %ALLSPHINXOPTS% %BUILDDIR%/epub + if errorlevel 1 exit /b 1 + echo. + echo.Build finished. The epub file is in %BUILDDIR%/epub. + goto end +) + +if "%1" == "latex" ( + %SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex + if errorlevel 1 exit /b 1 + echo. + echo.Build finished; the LaTeX files are in %BUILDDIR%/latex. + goto end +) + +if "%1" == "text" ( + %SPHINXBUILD% -b text %ALLSPHINXOPTS% %BUILDDIR%/text + if errorlevel 1 exit /b 1 + echo. + echo.Build finished. The text files are in %BUILDDIR%/text. + goto end +) + +if "%1" == "man" ( + %SPHINXBUILD% -b man %ALLSPHINXOPTS% %BUILDDIR%/man + if errorlevel 1 exit /b 1 + echo. + echo.Build finished. The manual pages are in %BUILDDIR%/man. + goto end +) + +if "%1" == "changes" ( + %SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes + if errorlevel 1 exit /b 1 + echo. + echo.The overview file is in %BUILDDIR%/changes. + goto end +) + +if "%1" == "linkcheck" ( + %SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck + if errorlevel 1 exit /b 1 + echo. + echo.Link check complete; look for any errors in the above output ^ +or in %BUILDDIR%/linkcheck/output.txt. + goto end +) + +if "%1" == "doctest" ( + %SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest + if errorlevel 1 exit /b 1 + echo. + echo.Testing of doctests in the sources finished, look at the ^ +results in %BUILDDIR%/doctest/output.txt. + goto end +) + +:end diff --git a/ez_setup.py b/ez_setup.py new file mode 100644 index 00000000..800c31ef --- /dev/null +++ b/ez_setup.py @@ -0,0 +1,414 @@ +#!/usr/bin/env python + +""" +Setuptools bootstrapping installer. + +Maintained at https://github.com/pypa/setuptools/tree/bootstrap. + +Run this script to install or upgrade setuptools. + +This method is DEPRECATED. Check https://github.com/pypa/setuptools/issues/581 for more details. +""" + +import os +import shutil +import sys +import tempfile +import zipfile +import optparse +import subprocess +import platform +import textwrap +import contextlib + +from distutils import log + +try: + from urllib.request import urlopen +except ImportError: + from urllib2 import urlopen + +try: + from site import USER_SITE +except ImportError: + USER_SITE = None + +# 33.1.1 is the last version that supports setuptools self upgrade/installation. +DEFAULT_VERSION = "33.1.1" +DEFAULT_URL = "https://pypi.io/packages/source/s/setuptools/" +DEFAULT_SAVE_DIR = os.curdir +DEFAULT_DEPRECATION_MESSAGE = "ez_setup.py is deprecated and when using it setuptools will be pinned to {0} since it's the last version that supports setuptools self upgrade/installation, check https://github.com/pypa/setuptools/issues/581 for more info; use pip to install setuptools" + +MEANINGFUL_INVALID_ZIP_ERR_MSG = 'Maybe {0} is corrupted, delete it and try again.' + +log.warn(DEFAULT_DEPRECATION_MESSAGE.format(DEFAULT_VERSION)) + + +def _python_cmd(*args): + """ + Execute a command. + + Return True if the command succeeded. + """ + args = (sys.executable,) + args + return subprocess.call(args) == 0 + + +def _install(archive_filename, install_args=()): + """Install Setuptools.""" + with archive_context(archive_filename): + # installing + log.warn('Installing Setuptools') + if not _python_cmd('setup.py', 'install', *install_args): + log.warn('Something went wrong during the installation.') + log.warn('See the error message above.') + # exitcode will be 2 + return 2 + + +def _build_egg(egg, archive_filename, to_dir): + """Build Setuptools egg.""" + with archive_context(archive_filename): + # building an egg + log.warn('Building a Setuptools egg in %s', to_dir) + _python_cmd('setup.py', '-q', 'bdist_egg', '--dist-dir', to_dir) + # returning the result + log.warn(egg) + if not os.path.exists(egg): + raise IOError('Could not build the egg.') + + +class ContextualZipFile(zipfile.ZipFile): + + """Supplement ZipFile class to support context manager for Python 2.6.""" + + def __enter__(self): + return self + + def __exit__(self, type, value, traceback): + self.close() + + def __new__(cls, *args, **kwargs): + """Construct a ZipFile or ContextualZipFile as appropriate.""" + if hasattr(zipfile.ZipFile, '__exit__'): + return zipfile.ZipFile(*args, **kwargs) + return super(ContextualZipFile, cls).__new__(cls) + + +@contextlib.contextmanager +def archive_context(filename): + """ + Unzip filename to a temporary directory, set to the cwd. + + The unzipped target is cleaned up after. + """ + tmpdir = tempfile.mkdtemp() + log.warn('Extracting in %s', tmpdir) + old_wd = os.getcwd() + try: + os.chdir(tmpdir) + try: + with ContextualZipFile(filename) as archive: + archive.extractall() + except zipfile.BadZipfile as err: + if not err.args: + err.args = ('', ) + err.args = err.args + ( + MEANINGFUL_INVALID_ZIP_ERR_MSG.format(filename), + ) + raise + + # going in the directory + subdir = os.path.join(tmpdir, os.listdir(tmpdir)[0]) + os.chdir(subdir) + log.warn('Now working in %s', subdir) + yield + + finally: + os.chdir(old_wd) + shutil.rmtree(tmpdir) + + +def _do_download(version, download_base, to_dir, download_delay): + """Download Setuptools.""" + py_desig = 'py{sys.version_info[0]}.{sys.version_info[1]}'.format(sys=sys) + tp = 'setuptools-{version}-{py_desig}.egg' + egg = os.path.join(to_dir, tp.format(**locals())) + if not os.path.exists(egg): + archive = download_setuptools(version, download_base, + to_dir, download_delay) + _build_egg(egg, archive, to_dir) + sys.path.insert(0, egg) + + # Remove previously-imported pkg_resources if present (see + # https://bitbucket.org/pypa/setuptools/pull-request/7/ for details). + if 'pkg_resources' in sys.modules: + _unload_pkg_resources() + + import setuptools + setuptools.bootstrap_install_from = egg + + +def use_setuptools( + version=DEFAULT_VERSION, download_base=DEFAULT_URL, + to_dir=DEFAULT_SAVE_DIR, download_delay=15): + """ + Ensure that a setuptools version is installed. + + Return None. Raise SystemExit if the requested version + or later cannot be installed. + """ + to_dir = os.path.abspath(to_dir) + + # prior to importing, capture the module state for + # representative modules. + rep_modules = 'pkg_resources', 'setuptools' + imported = set(sys.modules).intersection(rep_modules) + + try: + import pkg_resources + pkg_resources.require("setuptools>=" + version) + # a suitable version is already installed + return + except ImportError: + # pkg_resources not available; setuptools is not installed; download + pass + except pkg_resources.DistributionNotFound: + # no version of setuptools was found; allow download + pass + except pkg_resources.VersionConflict as VC_err: + if imported: + _conflict_bail(VC_err, version) + + # otherwise, unload pkg_resources to allow the downloaded version to + # take precedence. + del pkg_resources + _unload_pkg_resources() + + return _do_download(version, download_base, to_dir, download_delay) + + +def _conflict_bail(VC_err, version): + """ + Setuptools was imported prior to invocation, so it is + unsafe to unload it. Bail out. + """ + conflict_tmpl = textwrap.dedent(""" + The required version of setuptools (>={version}) is not available, + and can't be installed while this script is running. Please + install a more recent version first, using + 'easy_install -U setuptools'. + + (Currently using {VC_err.args[0]!r}) + """) + msg = conflict_tmpl.format(**locals()) + sys.stderr.write(msg) + sys.exit(2) + + +def _unload_pkg_resources(): + sys.meta_path = [ + importer + for importer in sys.meta_path + if importer.__class__.__module__ != 'pkg_resources.extern' + ] + del_modules = [ + name for name in sys.modules + if name.startswith('pkg_resources') + ] + for mod_name in del_modules: + del sys.modules[mod_name] + + +def _clean_check(cmd, target): + """ + Run the command to download target. + + If the command fails, clean up before re-raising the error. + """ + try: + subprocess.check_call(cmd) + except subprocess.CalledProcessError: + if os.access(target, os.F_OK): + os.unlink(target) + raise + + +def download_file_powershell(url, target): + """ + Download the file at url to target using Powershell. + + Powershell will validate trust. + Raise an exception if the command cannot complete. + """ + target = os.path.abspath(target) + ps_cmd = ( + "[System.Net.WebRequest]::DefaultWebProxy.Credentials = " + "[System.Net.CredentialCache]::DefaultCredentials; " + '(new-object System.Net.WebClient).DownloadFile("%(url)s", "%(target)s")' + % locals() + ) + cmd = [ + 'powershell', + '-Command', + ps_cmd, + ] + _clean_check(cmd, target) + + +def has_powershell(): + """Determine if Powershell is available.""" + if platform.system() != 'Windows': + return False + cmd = ['powershell', '-Command', 'echo test'] + with open(os.path.devnull, 'wb') as devnull: + try: + subprocess.check_call(cmd, stdout=devnull, stderr=devnull) + except Exception: + return False + return True +download_file_powershell.viable = has_powershell + + +def download_file_curl(url, target): + cmd = ['curl', url, '--location', '--silent', '--output', target] + _clean_check(cmd, target) + + +def has_curl(): + cmd = ['curl', '--version'] + with open(os.path.devnull, 'wb') as devnull: + try: + subprocess.check_call(cmd, stdout=devnull, stderr=devnull) + except Exception: + return False + return True +download_file_curl.viable = has_curl + + +def download_file_wget(url, target): + cmd = ['wget', url, '--quiet', '--output-document', target] + _clean_check(cmd, target) + + +def has_wget(): + cmd = ['wget', '--version'] + with open(os.path.devnull, 'wb') as devnull: + try: + subprocess.check_call(cmd, stdout=devnull, stderr=devnull) + except Exception: + return False + return True +download_file_wget.viable = has_wget + + +def download_file_insecure(url, target): + """Use Python to download the file, without connection authentication.""" + src = urlopen(url) + try: + # Read all the data in one block. + data = src.read() + finally: + src.close() + + # Write all the data in one block to avoid creating a partial file. + with open(target, "wb") as dst: + dst.write(data) +download_file_insecure.viable = lambda: True + + +def get_best_downloader(): + downloaders = ( + download_file_powershell, + download_file_curl, + download_file_wget, + download_file_insecure, + ) + viable_downloaders = (dl for dl in downloaders if dl.viable()) + return next(viable_downloaders, None) + + +def download_setuptools( + version=DEFAULT_VERSION, download_base=DEFAULT_URL, + to_dir=DEFAULT_SAVE_DIR, delay=15, + downloader_factory=get_best_downloader): + """ + Download setuptools from a specified location and return its filename. + + `version` should be a valid setuptools version number that is available + as an sdist for download under the `download_base` URL (which should end + with a '/'). `to_dir` is the directory where the egg will be downloaded. + `delay` is the number of seconds to pause before an actual download + attempt. + + ``downloader_factory`` should be a function taking no arguments and + returning a function for downloading a URL to a target. + """ + # making sure we use the absolute path + to_dir = os.path.abspath(to_dir) + zip_name = "setuptools-%s.zip" % version + url = download_base + zip_name + saveto = os.path.join(to_dir, zip_name) + if not os.path.exists(saveto): # Avoid repeated downloads + log.warn("Downloading %s", url) + downloader = downloader_factory() + downloader(url, saveto) + return os.path.realpath(saveto) + + +def _build_install_args(options): + """ + Build the arguments to 'python setup.py install' on the setuptools package. + + Returns list of command line arguments. + """ + return ['--user'] if options.user_install else [] + + +def _parse_args(): + """Parse the command line for options.""" + parser = optparse.OptionParser() + parser.add_option( + '--user', dest='user_install', action='store_true', default=False, + help='install in user site package') + parser.add_option( + '--download-base', dest='download_base', metavar="URL", + default=DEFAULT_URL, + help='alternative URL from where to download the setuptools package') + parser.add_option( + '--insecure', dest='downloader_factory', action='store_const', + const=lambda: download_file_insecure, default=get_best_downloader, + help='Use internal, non-validating downloader' + ) + parser.add_option( + '--version', help="Specify which version to download", + default=DEFAULT_VERSION, + ) + parser.add_option( + '--to-dir', + help="Directory to save (and re-use) package", + default=DEFAULT_SAVE_DIR, + ) + options, args = parser.parse_args() + # positional arguments are ignored + return options + + +def _download_args(options): + """Return args for download_setuptools function from cmdline args.""" + return dict( + version=options.version, + download_base=options.download_base, + downloader_factory=options.downloader_factory, + to_dir=options.to_dir, + ) + + +def main(): + """Install or upgrade setuptools and EasyInstall.""" + options = _parse_args() + archive = download_setuptools(**_download_args(options)) + return _install(archive, _build_install_args(options)) + +if __name__ == '__main__': + sys.exit(main()) diff --git a/notebooks/Example_Grism_Simulation.ipynb b/notebooks/Example_Grism_Simulation.ipynb new file mode 100644 index 00000000..fbf559fe --- /dev/null +++ b/notebooks/Example_Grism_Simulation.ipynb @@ -0,0 +1,395 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false, + "nbpresent": { + "id": "07af7110-9c07-40cd-9a72-6ebc1b5a181d" + } + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + " \n", + "# Enable inline plotting\n", + "%matplotlib inline\n", + "\n", + "from IPython.display import display, Latex, clear_output" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false, + "nbpresent": { + "id": "6a8d72ac-a184-4812-9f55-0b34a2ce4995" + } + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import S # Pysynphot\n", + "pynrc.setup_logging('WARN', verbose=False)\n", + " \n", + "import astropy.io.fits as fits" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false, + "nbpresent": { + "id": "c0793f96-fd0e-4065-8c3f-7de89ea00d09" + } + }, + "outputs": [], + "source": [ + "# Initialize a NIRCam Grism observation in Stripe mode \n", + "nrc = pynrc.NIRCam('F444W', pupil='GRISM0', module='A', \n", + " wind_mode='STRIPE', xpix=2048, ypix=64, fov_pix=64)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false, + "nbpresent": { + "id": "891ac4c3-fd8f-4eac-917b-9ba4411bece4" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "New Ramp Settings:\n", + " read_mode : RAPID\n", + " nf : 1\n", + " nd2 : 0\n", + " ngroup : 70\n", + " nint : 1\n", + "New Detector Settings\n", + " wind_mode : STRIPE\n", + " xpix : 2048\n", + " ypix : 64\n", + " x0 : 0\n", + " y0 : 0\n", + "New Ramp Times\n", + " t_group : 0.341\n", + " t_frame : 0.341\n", + " t_int : 23.843\n", + " t_int_tot : 24.189\n", + " t_exp : 23.843\n", + " t_acq : 24.194\n" + ] + } + ], + "source": [ + "# Update ramp settings\n", + "nrc.update_detectors(read_mode='RAPID', nint=1, ngroup=70, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": false, + "nbpresent": { + "id": "0d9c2372-0bea-4029-8695-9367c3d7d8d0" + } + }, + "outputs": [], + "source": [ + "# Setup Pysynphot spectrum of the source\n", + "# G2V star normalized to K=8 mag\n", + "bpk = S.ObsBandpass('johnson,k')\n", + "sp = pynrc.stellar_spectrum('G2V', 8, 'vegamag', bpk)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false, + "nbpresent": { + "id": "6203e0a2-730b-4719-a01c-63ed09f8614f" + } + }, + "outputs": [], + "source": [ + "# Plot the ideal grism spectrum and slope image\n", + "# Create slope image\n", + "w, im_slope = nrc.gen_psf(sp)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": false, + "nbpresent": { + "id": "90857adf-f690-4045-8e15-72524e93285e" + }, + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1444.09009555\n" + ] + }, + { + "data": { + "image/png": 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oXx77uIg/vrhQ/a9FRKRNmrGWDqFpxjpLpSASJGOyk7j11JG8u2QrlxwxgIN6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\n9dAAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the collapsed spectral image w.r.t. wavelength\n", + "import matplotlib.gridspec as gridspec\n", + "\n", + "fig = plt.figure(figsize=(12,8))\n", + "gs = gridspec.GridSpec(7,1)\n", + "ax1 = fig.add_subplot(gs[:-2, :])\n", + "ax2 = fig.add_subplot(gs[-1, :])\n", + "\n", + "# Collapsed spectrum\n", + "ax1.plot(w, im_slope.sum(axis=0))\n", + "ax1.set_ylabel('Total Counts / sec')\n", + "ax1.set_xlabel('Wavelength ($\\mu m$)')\n", + "ax1.set_title('Callapsed Spectrum')\n", + "ax1.set_ylim([0,ax1.get_ylim()[1]])\n", + "ax1.set_xlim([w.min(),w.max()])\n", + "ax1.minorticks_on()\n", + "\n", + "# Show the 2D spectral image as well\n", + "vmin = 1e-2\n", + "vmax = im_slope.max()\n", + "print(vmax)\n", + "norm = matplotlib.colors.LogNorm(vmin=vmin, vmax=vmax)\n", + "ax2.imshow(im_slope, norm=norm)\n", + "ax2.set_title('Idealized Spectral Slope Image')\n", + "ax2.set_yticklabels('');" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false, + "nbpresent": { + "id": "2b3480c5-c03d-4a55-ba15-102576f86540" + } + }, + "outputs": [], + "source": [ + "# The current image size is only as large as the dispersed spectrum\n", + "# Expand image to the larger detector size\n", + "xpix = nrc.det_info['xpix']\n", + "ypix = nrc.det_info['ypix']\n", + "im_slope = nrc_utils.pad_or_cut_to_size(im_slope, (ypix,xpix))\n", + "im_slope[im_slope==0] = im_slope[im_slope>0].min()\n", + "\n", + "# Create wavelength solution for each pixel\n", + "wave = nrc_utils.pad_or_cut_to_size(w, (xpix))\n", + "xvals = np.arange(len(wave))\n", + "cf = np.polyfit(xvals[wave>0], wave[wave>0], 1)\n", + "wave = xvals*cf[0] + cf[1]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true, + "nbpresent": { + "id": "5e63d65e-59b0-42b2-b709-b0f4b533697f" + } + }, + "source": [ + "## Quick and dirty slope image of simulated data" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Specify name of output file.\n", + "# Time stamps will be automatically inserted for unique file names.\n", + "#file_out = '/Volumes/NIRData/grism_sim/grism_sim.fits'\n", + "# Create a simulated integration based on observation settings\n", + "res_sp = nrc.gen_exposures(sp=sp, file_out=None)\n", + "\n", + "# Result is a list of HDULists, each with a number of extensions:\n", + "# 1. 'PRIMARY'\n", + "# 2. 'SCI'\n", + "# 3. 'ZEROFRAME'" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false, + "nbpresent": { + "id": "faebcbd2-c63b-4c55-b86c-5e7d94f9041a" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Converting data from uint16 to float64\n" + ] + } + ], + "source": [ + "header = res_sp[0]['PRIMARY'].header\n", + "data = res_sp[0]['SCI'].data\n", + "ng,ny,nx = data.shape\n", + "\n", + "# Reference pixel correction\n", + "ref = pynrc.ref_pixels.NRC_refs(data, header, DMS=True, do_all=True)\n", + "\n", + "# Integration values of each group in ramp\n", + "tvals = (np.arange(ng)+1) * nrc.multiaccum_times['t_group']\n", + "\n", + "# Linear fit each pixel and return coefficiencts\n", + "coeffs = nrc_utils.jl_poly_fit(tvals, ref.data, deg=1)\n", + "im_slope_sim = coeffs[1,:,:] * nrc.Detectors[0].gain" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false, + "nbpresent": { + "id": "56c56d2f-a1a1-4dd4-a4b2-be835d76c8c9" + } + }, + "outputs": [ + { + "data": { + "image/png": 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ZeF7FGxlCCFGTPD09+fDDDy/ZxmA203rmi4SeOkVUiRPr535AwFHrDKTh+34i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i9fzsMPP0x0dDTR0dFce+21XHXVVbjdbv70pz+16YImLc397rvvcs011zBixAjeeecdiouLefTR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\nNB+Wp932Houi3/ubBENPb5W88rEH4K2pJpDy88DAa5TJfHDaJzXbtL0mr3l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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from mpl_toolkits.axes_grid.inset_locator import inset_axes\n", + "colors = ['C0', 'C1', 'C2', 'C3']\n", + "\n", + "fig = plt.figure(figsize=(13,9))\n", + "gs = gridspec.GridSpec(9,1)\n", + "ax1 = fig.add_subplot(gs[:-3, :])\n", + "ax2 = fig.add_subplot(gs[-2, :])\n", + "ax3 = fig.add_subplot(gs[-1, :])\n", + "\n", + "# Collapsed spectra\n", + "# Remove background\n", + "c1 = im_slope.sum(axis=0)\n", + "c1 -= np.median(c1[1900:])\n", + "c2 = im_slope_sim.sum(axis=0)\n", + "c2 -= np.median(c2[1900:])\n", + "\n", + "xvals = np.arange(len(c1))\n", + "xvals = wave\n", + "ax1.plot(xvals, c1, label='Noiseless Slope Image')\n", + "ax1.plot(xvals, c2, color='C3', alpha=0.7, label='Noise Included')\n", + "ax1.set_ylabel('Counts / sec')\n", + "ax1.set_xlabel('Pixel Position')\n", + "ax1.set_title('Collapsed Spectra')\n", + "ax1.minorticks_on()\n", + "ax1.legend(loc=2)\n", + "ax1.set_xlim([3.6, 5.2])\n", + "ax1.set_ylim([0,5000])\n", + "\n", + "#xvals = np.arange(len(c1))\n", + "inset_axes = inset_axes(ax1, width=\"40%\",height=\"40%\",loc=1)\n", + "inset_axes.plot(xvals, c1, lw=3)\n", + "inset_axes.plot(xvals, c2, color='C3', lw=3, alpha=0.7)\n", + "inset_axes.set_xlim([4.3,4.45])\n", + "inset_axes.set_ylim([2800,3600])\n", + "inset_axes.minorticks_on()\n", + "\n", + "# Show the 2D spectral image as well\n", + "vmin = 1e-2\n", + "vmax = im_slope.max()\n", + "#print(vmax)\n", + "norm = matplotlib.colors.LogNorm(vmin=vmin, vmax=vmax)\n", + "ax2.imshow(im_slope, norm=norm)\n", + "ax2.set_yticklabels('')\n", + "ax2.set_title('Idealized Spectral Slope Image')\n", + "\n", + "ax3.imshow(im_slope_sim, norm=norm)\n", + "ax3.set_yticklabels('')\n", + "ax3.set_title('Slope Image with Noise')\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + }, + "nbpresent": { + "slides": {}, + "themes": {} + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/Example_HR8799.ipynb b/notebooks/Example_HR8799.ipynb index 628f8831..2a243740 100644 --- a/notebooks/Example_HR8799.ipynb +++ b/notebooks/Example_HR8799.ipynb @@ -19,17 +19,17 @@ "\n", "# Enable inline plotting at lower left\n", "%matplotlib inline\n", - "matplotlib.rcParams['image.origin'] = 'lower'\n", - "matplotlib.rcParams['image.interpolation'] = 'none'\n", - "\n", - "# seaborn package for making pretty plots, but not necessary\n", - "try:\n", - " import seaborn as sns\n", - " params = {'xtick.direction': 'in', 'ytick.direction': 'in', 'font.family': ['serif'],\n", - " 'text.usetex': True, 'text.latex.preamble': ['\\usepackage{gensymb}']}\n", - " sns.set_style(\"ticks\", params)\n", - "except ImportError:\n", - " print('Seaborn module is not installed.')\n", + "#matplotlib.rcParams['image.origin'] = 'lower'\n", + "#matplotlib.rcParams['image.interpolation'] = 'none'\n", + "#\n", + "## seaborn package for making pretty plots, but not necessary\n", + "#try:\n", + "# import seaborn as sns\n", + "# params = {'xtick.direction': 'in', 'ytick.direction': 'in', 'font.family': ['serif'],\n", + "# 'text.usetex': True, 'text.latex.preamble': ['\\usepackage{gensymb}']}\n", + "# sns.set_style(\"ticks\", params)\n", + "#except ImportError:\n", + "# print('Seaborn module is not installed.')\n", " \n", "from IPython.display import display, Latex, clear_output\n", "from matplotlib.backends.backend_pdf import PdfPages" @@ -96,9 +96,9 @@ " # Initialize and store the observation\n", " # A reference obseration is stored inside the parent obs_coronagraphy class.\n", " obs_dict[key] = pynrc.obs_coronagraphy(sp_sci, sp_ref, dist, wfe_drift=wfe_drift,\n", - " filter=filt, mask=mask, pupil=pupil, \n", - " oversample=oversample, fov_pix=fov_pix,\n", - " wind_mode='WINDOW', xpix=subsize, ypix=subsize)\n", + " filter=filt, mask=mask, pupil=pupil, \n", + " oversample=oversample, fov_pix=fov_pix,\n", + " wind_mode='WINDOW', xpix=subsize, ypix=subsize)\n", " return obs_dict" ] }, @@ -144,11 +144,11 @@ " ref = sci.nrc_ref\n", " \n", " # Ramp optimization for both science and reference targets\n", - " for obs, sp in zip([sci, ref], [sp_sci, sp_ref]):\n", + " for obs2, sp in zip([sci, ref], [sp_sci, sp_ref]):\n", " i = nrow = 0\n", " while nrow==0:\n", " well_max = well_levels[i]\n", - " tbl = obs.ramp_optimize(sp_opt, sp, tacq_max=tacq_max, tacq_frac=0.01, \n", + " tbl = obs2.ramp_optimize(sp_opt, sp, tacq_max=tacq_max, tacq_frac=0.01, \n", " nint_min=nint_min, ng_max=ng_max, \n", " well_frac_max=well_max, ideal_Poisson=True,\n", " **kwargs)\n", @@ -158,7 +158,7 @@ " # Grab the highest ranked MULTIACCUM settings and update the detector readout\n", " v1, v2, v3 = tbl['Pattern', 'NGRP', 'NINT'][0]\n", " print(tbl[0].as_void())\n", - " obs.update_detectors(read_mode=v1, ngroup=v2, nint=v3)\n", + " obs2.update_detectors(read_mode=v1, ngroup=v2, nint=v3)\n", " " ] }, @@ -191,11 +191,11 @@ "# Reference Star\n", "# Argument tuple: (Name, distance, sptype model params, age, kmag)\n", "args_ref = ('HD 220657', 52.2, (5888, -0.01, 3.22), 1000, 3.04)\n", - "name, dist, sp_args, age, kmag = args_ref\n", + "name_ref, dist_ref, sp_args, age_ref, kmag_ref = args_ref\n", "\n", "sp = S.Icat('ck04models', *sp_args)\n", - "sp_ref = sp.renorm(kmag, 'vegamag', bp_k)\n", - "sp_ref.name = name" + "sp_ref = sp.renorm(kmag_ref, 'vegamag', bp_k)\n", + "sp_ref.name = name_ref" ] }, { @@ -208,11 +208,11 @@ "source": [ "# HR8799 planet magnitudes\n", "# [b, c, d, e]\n", - "planet_mags = {'F210M': np.array([14.2, 13.2, 13.2, 13.1]),\n", - " 'F200W': np.array([14.2, 13.2, 13.2, 13.1]),\n", - " 'F335M': np.array([15.6, 14.7, 14.5, 14.5]),\n", - " 'F356W': np.array([15.6, 14.7, 14.5, 14.5]),\n", - " 'F430M': np.array([15.6, 14.7, 14.5, 14.5]),\n", + "planet_mags = {'F210M': np.array([17.0, 16.1, 16.1, 15.9]),\n", + " 'F200W': np.array([17.0, 16.1, 16.1, 15.9]),\n", + " 'F335M': np.array([16.2, 15.2, 15.0, 15.1]),\n", + " 'F356W': np.array([15.6, 14.7, 14.5, 14.6]),\n", + " 'F430M': np.array([15.8, 14.9, 14.5, 14.6]),\n", " 'F444W': np.array([16.0, 15.0, 14.6, 14.7])}\n", "\n", "# Locations\n", @@ -224,7 +224,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Compare MASK335R vs. MASK430R\n", + "## 1. Compare MASK335R vs. MASK430R\n", "\n", "It might be worthwhile to always use the 335R circular mask instead of the 430R and 210R masks.\n", " 1. Avoids overheads associated with switching between 430R and 335R\n", @@ -303,7 +303,7 @@ "['Pattern', 'NGRP', 'NINT', 't_int', 't_exp', 't_acq', 'SNR', 'Well', 'eff']\n", "\n", "F200W_MASK210R_CIRCLYOT\n", - "(u'BRIGHT2', 6, 25, 50.23008, 1255.752, 1360.398, 22.939839621576777, 0.7396083489695662, 0.621)\n" + "(u'BRIGHT2', 6, 25, 50.23008, 1255.752, 1360.887, 22.939839621576777, 0.7398963584512521, 0.621)\n" ] }, { @@ -317,23 +317,25 @@ "name": "stdout", "output_type": "stream", "text": [ - "(u'RAPID', 3, 82, 12.55752, 1029.71664, 1372.95552, 5.458843757272186, 1.4032276485473971, 0.147)\n", + "(u'RAPID', 3, 82, 12.55752, 1029.71664, 1374.5594399999998, 5.458843757272186, 1.4054133613956015, 0.147)\n", "\n", "F200W_MASK335R_CIRCLYOT\n", - "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 51.71227840896199, 0.4956403171656694, 1.368)\n", - "(u'BRIGHT2', 9, 68, 19.24272, 1308.50496, 1381.19968, 18.260098279143456, 0.7593486866501596, 0.491)\n", + "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 51.71227840896199, 0.49574526641408106, 1.368)\n", + "(u'BRIGHT2', 9, 68, 19.24272, 1308.50496, 1382.55424, 18.260098279143456, 0.758868367274469, 0.491)\n", "\n", "F444W_MASK335R_CIRCLYOT\n", - "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 94.82952161799926, 0.2960546306719452, 2.51)\n", - "(u'SHALLOW4', 6, 43, 31.00216, 1333.09288, 1379.0616, 63.93333861559663, 0.7677518902711711, 1.721)\n", + "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 94.82993126016308, 0.296122708792447, 2.509)\n", + "(u'SHALLOW4', 6, 43, 31.00216, 1333.09288, 1379.91816, 63.93378967609667, 0.7471090091068583, 1.721)\n", "\n", "F444W_MASK430R_CIRCLYOT\n", - "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 94.82952161799926, 0.12668061972211953, 2.51)\n", - "(u'MEDIUM8', 7, 18, 72.69472, 1308.50496, 1327.7476800000002, 86.07891773271889, 0.7435311627096726, 2.362)\n" + "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 94.82993126016308, 0.12670657830845308, 2.509)\n", + "(u'MEDIUM8', 7, 18, 72.69472, 1308.50496, 1328.10624, 86.07933254806422, 0.743730419039155, 2.362)\n" ] } ], "source": [ + "# Find best ramp settings and update\n", + "# Settings are for a single roll angle\n", "obs_optimize(obs_dict)" ] }, @@ -357,18 +359,19 @@ ], "source": [ "# Generate and store contrast curves for each science and reference observation\n", - "rr_list = []\n", - "contrast_list = []\n", - "magsens_list = []\n", + "rr_list = [] # Radial distances\n", + "contrast_list = [] # Contrasts w.r.t. radial distance\n", + "magsens_list = [] # Sensitivities w.r.t. radial distance\n", "\n", - "filt_keys = obs_dict.keys()\n", - "filt_keys.sort()\n", + "#filt_keys = obs_dict.keys()\n", + "#filt_keys.sort()\n", "nsig = 5\n", + "roll_angle = 10\n", "for key in filt_keys:\n", " print(key)\n", " obs = obs_dict[key]\n", " \n", - " rr, contrast, magsens = obs.calc_contrast(nsig=nsig)\n", + " rr, contrast, magsens = obs.calc_contrast(roll_angle=roll_angle, nsig=nsig)\n", " rr_list.append(rr)\n", " contrast_list.append(contrast)\n", " magsens_list.append(magsens)" @@ -376,7 +379,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": { "collapsed": false, "scrolled": true @@ -384,9 +387,9 @@ "outputs": [ { "data": { - "image/png": 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CrkqVKvoOIVMlSpSgRIkS+g6jUJB2l3tyu93Jo9lCCCGEKNQkmRFCCCFEoSbJ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\nh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7ApCZmcmoUaN46qmniqXXuueusqWhqlqAT4BGHuujgMHO5weBt4Ehzn5nlzze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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -394,32 +397,30 @@ } ], "source": [ - "pal = sns.cubehelix_palette(light=0.8, dark=0.2, reverse=True, start=1, rot=-2)\n", + "# Plot sensitivity curves along with location of companions\n", "fig, ax = plt.subplots(figsize=(8,5))\n", + "colors = ['C2', 'C0', 'C1', 'C3']\n", "\n", - "nsig = 5\n", "for i, mag_sens in enumerate(magsens_list):\n", " rr = rr_list[i]\n", " filt, mask, pupil = args_list[i]\n", - " \n", + " \n", + " # Plot contrast curves\n", + " label=\"{} {}\".format(filt,mask)\n", + " ax.plot(rr, mag_sens, lw=2, label=label, color=colors[i])\n", + "\n", " # Plot observed companion magnitudes\n", " pmag = planet_mags.get(filt)\n", - " if i==0 or i==2:\n", + " if i==1 or i==3:\n", " label = 'Companions ({})'.format(filt)\n", - " ax.plot(planet_dist, pmag, marker='o', ls='None', label=label, color=pal[i], zorder=10)\n", - " \n", - " # Plot contrast curves\n", - " #bp = pynrc.read_filter(filt, pupil, mask)\n", - " #obs = S.Observation(sp_sci, bp, binset=bp.wave)\n", - " #mag_sens = obs.effstim('vegamag')-2.5*np.log10(nsig*contrast)\n", - " label=\"{} {}\".format(filt,mask)\n", - " ax.plot(rr, mag_sens, lw=2, label=label, color=pal[i])\n", + " ax.plot(planet_dist, pmag, marker='o', ls='None', label=label, \n", + " color=colors[i], alpha=0.5, zorder=10)\n", " \n", "ax.legend(ncol=2)\n", "ax.set_title('Contrast Comparisons - {} nm WFE Drift'.format(wfe_drift))\n", "ax.set_xlabel('Distance (arcsec)')\n", "ax.set_ylabel('{}-sigma Sensitivites (mag)'.format(nsig))\n", - "ax.set_xlim([0,5.1])\n", + "ax.set_xlim([0,10])\n", "ax.set_ylim([25,5])\n", "#ax.set_ylim([2e-9,2e-5])\n", "ax.minorticks_on()\n", @@ -431,7 +432,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Create images" + "It appears that there isn't much of a trade-off between MASK335R and MASK430R with regards to F444W.\n", + "\n", + "However, for F200W, you can get high sensitivity with MASK335R, because the mask blocks out more light so we don't saturate as quickly. Therefore, we are able to use more favorable MULTIACCUM ramps to reduce the read noise." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Create images\n", + "\n", + "For a series of filters, generate some slope images." ] }, { @@ -516,32 +528,33 @@ "['Pattern', 'NGRP', 'NINT', 't_int', 't_exp', 't_acq', 'SNR', 'Well', 'eff']\n", "\n", "F200W_MASK335R_CIRCLYOT\n", - "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 51.7122783309851, 0.4970555101362139, 1.368)\n", - "('BRIGHT2', 9, 68, 19.24272, 1308.50496, 1381.19968, 18.16916347029247, 0.7752731229062201, 0.488)\n", + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 51.71227840896199, 0.49574526641408106, 1.368)\n", + "('BRIGHT2', 9, 68, 19.24272, 1308.50496, 1382.55424, 18.260098279143456, 0.758868367274469, 0.491)\n", "\n", "F210M_MASK335R_CIRCLYOT\n", - "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 29.63981649446732, 0.26838264520452876, 0.784)\n", - "('SHALLOW4', 7, 37, 36.34736, 1344.85232, 1384.4068000000002, 14.99688034388487, 0.7849285666933115, 0.403)\n", + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 29.63981651453916, 0.26647081056941524, 0.784)\n", + "('SHALLOW4', 7, 37, 36.34736, 1344.85232, 1385.1438400000002, 15.023355091556319, 0.7956207087427796, 0.403)\n", "\n", "F335M_MASK335R_CIRCLYOT\n", - "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 53.77134631849709, 0.26490182347821917, 1.423)\n", - "('SHALLOW4', 7, 37, 36.34736, 1344.85232, 1384.4068000000002, 33.95432827491985, 0.7926876114735429, 0.912)\n", + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 53.77472957479904, 0.2597073725198328, 1.423)\n", + "('SHALLOW4', 7, 37, 36.34736, 1344.85232, 1385.1438400000002, 33.93564482635513, 0.7758483713951982, 0.911)\n", "\n", "F356W_MASK335R_CIRCLYOT\n", - "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 97.69049449185184, 0.42000787047408883, 2.585)\n", - "('BRIGHT2', 10, 61, 21.3808, 1304.2288, 1369.44024, 53.186859577254914, 0.7230592687636325, 1.437)\n", + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 97.6906378514116, 0.41585452634922915, 2.585)\n", + "('BRIGHT2', 10, 61, 21.3808, 1304.2288, 1370.6553599999997, 53.22631022735703, 0.7275659706729771, 1.437)\n", "\n", "F430M_MASK335R_CIRCLYOT\n", - "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 33.54314038072114, 0.07905733280054018, 0.887)\n", - "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 33.50441701260432, 0.602768886480645, 0.886)\n", + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 33.54588968972459, 0.07865038039188246, 0.887)\n", + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 33.547248444327394, 0.6029657212396716, 0.887)\n", "\n", "F444W_MASK335R_CIRCLYOT\n", - "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 94.82952161172092, 0.29589633782447805, 2.51)\n", - "('SHALLOW4', 6, 43, 31.00216, 1333.09288, 1379.0616, 63.94317722478581, 0.7425965031577462, 1.721)\n" + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 94.82993126468895, 0.296122708792447, 2.509)\n", + "('SHALLOW4', 6, 43, 31.00216, 1333.09288, 1379.91816, 63.93378967609667, 0.7471090091068583, 1.721)\n" ] } ], "source": [ + "# Optimize MULTIACCUM settings\n", "obs_optimize(obs_dict, patterns=['BRIGHT2', 'MEDIUM8', 'SHALLOW4'])" ] }, @@ -553,7 +566,7 @@ }, "outputs": [], "source": [ - "# For each filter observation, add planet information\n", + "# For each obs configuration, add planet information\n", "for k in filt_keys:\n", " obs = obs_dict[k]\n", " mags = planet_mags[obs.filter]\n", @@ -571,7 +584,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 11, "metadata": { "collapsed": false }, @@ -591,26 +604,49 @@ ], "source": [ "# Generate a list of roll-subtracted slope images, one for each filter\n", + "# PA rolls of 210 to 220 deg\n", "final_hdus = []\n", "for k in filt_keys:\n", " print(k)\n", " obs = obs_dict[k]\n", - " res = obs.gen_final(PA1=210, PA2=220, oversample=2)\n", + " res = obs.gen_roll_image(PA1=210, PA2=220, oversample=2)\n", " final_hdus.append(res)" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[(-1.57, 0.71), (0.52, 0.79), (0.39, -0.53), (0.38, 0.01)]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "loc_list" + ] + }, + { + "cell_type": "code", + "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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S0lJL+dtvv40zzjgD8+bNw86dO3HJJZfE2mtBjPCbpZiQiv1248h4xSbT70RZ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whwkKPHlvHXDoka+3kNevUZBfVz9pIwaGbBHO6tW7di6tSpmDZtGjo6OtDa2opZs2YVyhxC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\n+uMghJCUUDMJI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olvIe8+2IydbdhBj5FRXqk6FGEW+jt9euXw8dIYbq7zvG12cfud3mxGuag+/b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\nUeKlyv5VMQmtWbC1lqmnT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FCyGGKsI2ccdo2yTFIfAfea89fDoaFMirUVYCADgdQfAGpR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\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y3UzMPHwvM5bfYu13ntrnt5giWmvjYLr3r1IRo3gUoFSxMy7C35PKcIDYsfTcC1jbrCx4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+vBgcoqmXB5YgYmUxWXHbnJ83gM73AC3lArmnztWvLeMuN1fBHfwNHswYcBGH7snlV0vl08O7bb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\nBVlKZVb/YZCdaTzrXF0reFXjel19kf5/i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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -621,7 +657,8 @@ "fig, axes = plt.subplots(2,3, figsize=(14,8))\n", "axes = axes.flatten()\n", "\n", - "cmap = sns.cubehelix_palette(start=0, rot=0.5, light=1, as_cmap=True)\n", + "#cmap = sns.cubehelix_palette(start=0, rot=0.5, light=1, as_cmap=True)\n", + "cmap = matplotlib.rcParams['image.cmap']\n", "for i, ax in enumerate(axes):\n", " hdulist = final_hdus[i]\n", " data = hdulist[0].data\n", @@ -629,9 +666,14 @@ " vmax = data.max() * 0.75\n", " #vmax = np.ceil(vmax)\n", " vmin = 0#np.min([0,data.min()])\n", - " ax, cb = webbpsf.display_psf(hdulist, ax=ax, title=filt_keys[i], colorbar=True,\n", + " ax, cb = webbpsf.display_psf(hdulist, ax=ax, title=filt_keys[i], colorbar=True, cmap=cmap,\n", " scale='linear', vmin=vmin, vmax=vmax, imagecrop=5, return_ax=True)\n", " cb.set_label('')\n", + " \n", + " for loc in loc_list:\n", + " circle = matplotlib.patches.Circle(loc, 0.25, alpha=0.7, lw=1, \\\n", + " edgecolor='red', facecolor='none')\n", + " ax.add_artist(circle)\n", "\n", " ax.set_xlabel('Arcsec')\n", " ax.set_ylabel('Arcsec')\n", @@ -651,7 +693,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 14, "metadata": { "collapsed": false }, @@ -671,26 +713,27 @@ ], "source": [ "# Generate a list of roll-subtracted slope images, one for each filter\n", + "# PA rolls of 240 to 220 deg\n", "final_hdus = []\n", "for k in filt_keys:\n", " print(k)\n", " obs = obs_dict[k]\n", - " res = obs.gen_final(PA1=240, PA2=250, oversample=2)\n", + " res = obs.gen_roll_image(PA1=240, PA2=250, oversample=2)\n", " final_hdus.append(res)" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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OnIlOnTqhqKgIRUVFmDlzJubNm4ctW7bg17/+NTIyMmJwIK0LXElzU6ZjabGM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\n0Gl8aq4IrmDpLPNO64SHgxe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oXjZ8bGTh0blcqueF3EHJXZIyhAPmOe0Me6Zx7uJYA7u7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2gFVrkF1XJkgyoXpZabKcjlZY4cOcpFVlnJZWcCclmZI0eOStDIumVJo/u5557DmjVr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\nOxL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k2zY8hTSwbJkp3QY58yGSQpSTrJ/VKOx18fKfI5DoKSS2wRNPO7ywSOKiZbhFtrOW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\nhBBCIoJGNyGEEEIIIYQQEhH/H+rvSIMXHC80AAAAAElFTkSuQmCC\n", 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FvMmhYrsHCwejdHKLuJKaEvCJ83UlG5Z2iH0VQBgm5Eln/9bXxtbpjvURy4au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Sq4sVmNBtEBW9TrdgsfUQ1451B0gDKK5LJaLbptSiHrNfKwe+zHD+kiWY/joovc7ZGIPv1cISaS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\nktfOo1MqUnD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aSnboNtnTd80c8yoK3TaiFHnCaTpX/uTeZ76SeRjl97tTwVM3KO3OIftu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\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z9+Ou4jx+7OJX8Hp8AA8fvQsvHzkGJoHeoQiFVs0IMmA67+L9p1/E3zv9PJ4/chS/8KEf\nwEA0kKxq6PilHCLV9zWJgGHqWpikBBvli6JQBRvzufF3Pjlm6HTD5XrXvpsIsNV5HgzKjPnGisLN\nJ38t52uwm/vjtRn4n9VDyn0fvLMOabf4SmZ+BYp9fEdt1wbbW7a6wNpU/vye7zHkaf7EMr25r4l5\nPCP34UfwAv49vxtFSVoEtjfRwBRt5dOb/DwcQhQ5fohewku0D6/wLACvIlmFcep+SQo0RK/EK2b6\n1SpB94Qmh0NbySUNp/QlHUSSgDVck4dqQSsHAwVhKQqI6WnITmf8CYoCYnZasQtruQHOclA7AIVs\nkwdyMBgbzJV0uoda2iKJgVT1cGeDIf6seTdOYID3FqfxU3gakoGzaKMbNEHdNzBHKQ5nK+iLGI/T\nIfwp7lP9pL5xeeEGcjJf5jsAdMDA7BGiSVe83qhK7TOuW6K6ywiO9dy1xGvmOLLAhjIN27GrBUnH\nXrVmx6y2pWYMW7P/e1U+CQY+yN62NXO1dD6JP6Wb8C/4SbwX53AiuE59LDxJkyQBktjKgiEIrARU\n0YogE7XYO7i2hI+f/hp+b/+DyKSTj4JJcsEE0g6yXWL/9q/ZY672oZRmTJQkpeeSgkDxTeygceax\n0RYFMNDnimMPZl0o37zDdnEo8Dm6G7dgBd/WPYMPr38TS9EUzq3sw6AZI+ACR5cXsT9bw6nGfnzt\nyJ14MT4M2Q/QWulalnIALtCVCjZrExbDodeWVEn2WCRQ6PWne1JrRIrTw57DD1CMHBsc/HRkjnsS\nn5MERrsA3ng5tpmv7J54Ht3HLWnu9tBG7xTz/V1QSZx73BCluVT3zt4MfWb209sNSOA/0634AX4R\n/ze+BYtCKRIYnhh1Wp1sMs9AIwFPq+1kuwHZVM/l+88/h+P9i/jM4Q8BkhwXQsCgplZfSFPHyp2m\nAHsBr13PUn3BZgf4CEzAbUhzR0w4lCMEOT+xw/6w0OvWYHraJYA9/pJvNq/DS8euwz3dk/jw0pOY\nvfS3ONNewNLZaeSJQDNLcV13EbFI8eSRm/CZ938Ii3IBWAbmllKQyStmEuG6VoxY66t2RXutwvlR\nX0UjzUqJiTI03FvzG6m2QoK7o++pUlDtqf+wF2Azc+n977PVV+esXeeW+rTfGj50N64r3z7B9kaV\nRVMBtp975D8iRHUxqhxfADDhT3ELfphfwI/xc/jd4E70KbJkWz5tPvwHxPwgBBqc4Qfzb0KC8AW6\nGSSEW5ywg4RbaLo3RkeMZhaKZvFoYNB6gRElahEZhar6M67SbWHwigyN4tiynlMcKXKydgtIMxQX\nL9lxmoq2EFoTPAzHZh15vWtZyTlLARFAGobyzUjDKiamVeBOt9wAWutCzM6Amimo2cQKM760GOFP\n+BDmMMRR0UdLMBCEeEaGONN4N7pSyXUxedlCv2fTBNYsnT6xIUPTLygIoeS+8nyUOKo0WK8/vkoa\nUd12s0ZCw2buZxdRCRr8Mew02c9lIES2am8R371nm1hKIX4Ld+PH5dNISOJv6diWj3F99yJ+9ORf\n48/n7sFrjYOWKG3PLsOI8ArmcXLuLmC2hUPpCvaJHqhBKITA49HNONeYRy5C5O2o1Ju9Z7vLNvOV\nrfvvQOv+OwAAa395Yvtooz27ovYKzeMvcQN+nJ/G7/BdOL1VxQVm/IPFZ/D+5Rfwmwe/HZkId1TG\n9Z1qQxHhselb8XcH7kXQLHBddwlz6TpkQhiEMb449QBOHZ2166FkZW/xslttN64r3z7B9jgzfbRV\nOSbzZ01QVq1sAwDnEhwE+N3idnw3v4qfKR7HF6Pb8Sz2q4A7z1WwXjodq4xZUeD23ml8FK/gWXEA\nf4rjkF4/sz23ly012UY7lo2qn4b4jSKV0YoCQEqrbThRhcYw4poKdBSDkxgUBBBzsyguLZY2l70e\nhIaviHYbYnoK+bnz7nDNJsBSQV4izT4pC3CqiXC2+EKQ3R7CQweQt2MEaQbqZKDZGf1HqZMRhBU0\nsMINiLABajRVVpQIzDkg2Y7ZSKlZsgxD8mMIfwKvlz1zWrZWg7hOY9AmD+pl5rZsRCMBSPC13AAA\nIABJREFUdumYl0OgZtAdY7Pxuoo5QvRyZTwXY4JqzePPo/f48+bXvWrNDluJr2IDWO4ktkRN/Lq4\nFz+CF3AbL+OP+N1YjlRFRskaCnBbw9+iAIWunMZZhn/0ygnct/Yq/rh9D17gA6BOT7WD+HrOPoOw\nTUwGpc85K0Ph9IdKgQIqiVbS5i6kg+fFEbCzhW11DuNnSFiCIgJcJQpAoKsWstNR/ninKjvan8mL\nixCFxHmEOE+zkELpyMrpGMFqHwI5kjcvOoLLJIYY6kpKKEBDfQ2DIXgwdFq3HuMwS0e+5/tLzvLS\nPbeVG5PsrIy1hMqomD0XUGKNJjHG3/oooqvEHH4lbBJfuWfbN0eOOwbhM7LDNjlX9Dv4CTqEAQL8\nGD+DE3wYf0PHUUSaPDIMFVxck0lyI4ZsqGdx33AV3/fmowiY8Rv7vwOraKiWHM2yDQAYpm4N653a\ncv6oi3PPxdUg/wsCCE2W5ld4mdmp4EShQ8xMqmU+qfnX4uuNG+QVkYV4h8t95EUDb2A/Xp07jHRW\nK0OEQPs8A2A0Lg4R9B0BpzHRGVi9brW2FuBs1DdxmjrouE9mVkF8Wq1yoloUqyKcrEFf+P7T0+4m\nKcHerLCKRSMDdOtZFTeNbjKRXQOfu1t95ds72Obyi9x+Af6ENqzgHqutld0yCz0Af0K34lk+gI/l\nr+Af4VU8Jo7gFW7jUt6GJLJM1gfQwy3Ds3ggPwUUEr8X3obXeFY5FVLn4zzT1fYKnNgyp3uQ9M30\ntVmCc2lhiRSF4DRDMDcLzlTfc20fS64r83FsGXDF3Cywtg7o6nUwP4+iIj0jBwNQkkC0WgCROk+a\nQfZ6Vs5AQJGdURTbx3oz+YY6E3EEnplCeH4FHEdAswFuxKDVda1r7kFvotj2/ZHXAwmhII8UhYoJ\nvdUERRHkelf1YOcZILSsBhHY71c31exxRHR1wWlVMmESq1SOa1/wdd//ZscvyTF44xonpTfJonQn\nnScD2MQptu97N9r3vRsA0PmrvWrNlqyOnVnLAtaZr8Yw7jiluV3TCrLMCX4t/Fb8PfkmPpGewBud\nBTwVXoc3G9dhnSO7oIkHAxxdWsSd/dO4d/UVvCYW8Jn2g+jGM66/bpjaOVmC1nntM6RbXOw4a+Gh\ngYNoEjnfEOlEpXe9oqWIWXYaTq4OThAGNk0CFOrAkSVYSwDVBdr2PbQNH2pMDoYgjUaiJIHoaLTS\n4grkspYYEkLxawBKNrFnYKmBC8KzTLHlmt+LwvXSaylHN3C/XUF/L1Hkvq8CUIJlKMvgCG9fP5gf\nw/Mxsb1FA20AE/nKPZvQKnwUJUh19e9+QOqj1zazuver/zcAz2If3gzm8F/KV/Dz/BieLK7Dc8FB\nXJg6gkxE4EhJkk0P13FsfQnv6Z7E9cNFfGX6Nnyt/S5wlCgfCSgpKMOXU3iBkt/yobmI1I/keoav\noNlAOnStJL6JMLStJBRFyr8ASuZvDEn8tsaRqKCV09T5OCktdwhlOcjIb8URglj73EggWVIDCQYF\nomUnq2bkE0WnD+6su2vwi3lZBml8e6mdySNI1oVAoHyf1M8ep4qxwEswiwAgw0HizUvpybzV3Hd3\nY1yislzYMbEIysG4zxs0SfFsI5+7gaToZdku9ZVv72C7arWZRrNo0wFzFGndRWkfDhKKBOYNnsMv\nFe/BjVjFfcU5vA+nMMMZeojAQ4E2p+ggwilM4/N8A17DLIgiNYkNZF0HbkZqi6VaIJayjqhkVY28\nRLUyyTyaHSOC0P06FMcIptrqQZUFiuXV8gPCDB4ObS9IcWnRkQbFMcTMNAJBI/vxcAjkOVgQcGAf\nRG8AcWAfOInBcQRqJqBuH2CpYOlZBi6CUcKMJIFIEhRra+XvRASOkO2FlxEeuw6UZurYS6vK2WS5\nqlgLt4imIFAVFyGsTEywMK8kEfLcOQohFAGJlkcylRcuFOkOM5Xu7YZmgtgt9LVY1naWI8G8kjXa\n5LwjsmN1/boa8s7eAnicXMk4+Hid7fCC9a28/t2zepMk8NXgOB4NbsA9YhEPZKfwvYsvAETor7YQ\nsESrGOBCOINXG4fw2YV/iNUi2vzAe7Zn72Db85VvP+tQgv8U3ImFIMP9OI8PZy/i0NI30KMY+VqM\nhswAMM7E83imeQy/O/deBRvfsz3bs7G2G33lO/OpHVedMzqegYJWI4ALPokU0zYxXucZvC7mAJZI\nOEebFES6RzEGMPrYHsQt0L+ZyosX/CgCmPEZojLspxgNuEd2YFVlLhJbpVFwPUC0Wwq+kuWl4Fl2\nOuqYpnJgerVXViHmZhHMFKDpaeSn3rTnLlZWEMzNKXZaHbhJDRGlISDmZsGDAcTMNORaBySKkUq0\nSBJXZdIW3nA9UEjkb552HwYCyAsQdEW+24PRI4epzhuYjRDqmIYQQjPFU6updbxJ/a+r3xRGLrNX\nJYvw77EhOfPuc+lnK1BYrQpWUBTm/zHZ8ZFAuyb7R3Fc0mYcMaObTkL194/TVa72z18LmOUudIpv\nSavLBvstKlKMfLYRVK+WbKrKTD7GDO9BFrfwuDyIx8ODENNTmKIcMWcoINARDRRpBqTQ81WjOnp9\nwKvyWhi5P/89Msrqc2Tg4qVng4RjZvXYrSkQSnfb+MIstxUQ7FBl25dDFK0WKNHQ7CwD+2Q5ppoR\nxyOV7ZJPMO+OrSpQCLKEntzrl7gpTLIVANhUqZkdeVkhUWWtl+vrbjvf5KgfpCBw978o3CNv2pgA\nUAn2CFvJqbLC+0R35fldrR7ugDpDCRm0SYLzatier9w5q/oNvxXF9y28if+7HASYhwJZjmfwF1K1\ndgTNBqZ5gFAQUgqwHk+5fSSBCu0PBqkjykpiB48eeP4jCJxyQAmuLMokuVupVm7Fat4xRARoiDwl\niVpDAqq4dXif+hxwetM7MCazzqRm01NJgPuO4kixhwOgYQbRVfcwyiWQ6+89FJC64i06PYiuq3Jb\n81uU1jplffHqdXgwbX9/yxcUBGW/U9TMP1mUSU7N/Taxi7/tJlZuX4Q3f2W9HywRql2GcxpROdkB\nR7cLfeU7M9iug1UXBXgwhGgkCnZTSCVVo+n3eV1L0Bj4jQ6uhggw5EB5B79CqFkWKQpdTzCgoCvM\n+gEs3N8NlIk1jLzKEuwH6RM4Hx4OURhZielpUBJDLMypB3iYWk1t25ddXdQMh6rqbRa20y2Ie+5Q\n1/jyG+r4q2sIigKYnQFHIWQrAoeEYiZGmMSgwRAYpKBjhwHJCC4sgtMUsttVkHXABvbq5pKCUa66\nSjeFIeTSCsTsDHh51S2+isIuuLjf95g4A1CrBe73IdNMJQym2goqSQTwALLfB0ioYN9n/fT7V8z9\nLhGeVQIW/3sosctLHUAEZakJ6HlmnPckEBu9nd/nr1hFubytn4SRhRqiYeL3jrNh803VoV7xBSXt\nyt6at6WNCbIvq097k746P5Em1zroNBtABqjMX9/tX2SQPrTb9BumqfMPRTEi/aT+88cwfm67PmGP\nIR3QUod++9Dl9/fagB1wsHHo6zFJjDRzveKNBrhQweum8HXtcyhJSuyzY2VyPL/kWL2lDbCp3XbX\nnOeKORxQ70ADq8wH7rskUUYojbtPPuwWcMGz9x2Z1it1Pp/4UTrEktcmwIW3sARG35GT2Fahi7VJ\nrGuxktvzlTtmI9wror51ayMlBvtcbTHgqDwv9rypUy0o+gOsxrFeD0JJf5kWszSD1AF2MDNlgzvZ\n7ZXZqC3M2KkyIAgg4grzuhqEG4evouKP1f98QhPttgscAffsJknJD2JWJRM4DsGRToTunwetqK4x\n0ZxCsbJDHWT+PdJITACqoONJQlLfvQesXFdWgAxsf+D5QCEUfBxQMl/S+Svl42p8ule8YSlsbzZF\nYbmlJndtNuy9C/22qpK0os86Ps58rgxBIPJ8vvf+c1wcDlK+6Rqyzib1oTu27tydvnLXBtvt2RY+\n9dlPAtD6a3984sqflCXkYKgWSELAVnklj07e6iLDz+TrnmdD/sCs5GY4y9Vx09TBxG0W1U3ikd6J\nqnTUFk12OqB+CBEEinRDS2mhkAj2LYD7g7GLPAPxDrt9IAoh59oIDuxDcfY8kA8hh0MEWQY0E4i0\ngGRhiY8QR2AiUG8AOd0GhSFEEkNMTyknNhja81IYIjh2FOnROcRSQpg+8GYTFIaKHT1NIaamVBU7\niiBiUv0wQstzGfbuOFKkQzpxwllunUehkyYK1p/Y78fKfXHmAmUA8HQpN+zf9s2Q3LEsaVyqH/ze\nr2LUwdRVwuHBzW3AfxnZ3rpzbjGz+OBH78eDH3vA/Lp94rJdmIF8q1l7toVP/eonAJS1Kvdsz/bs\n2prvJ9uzrcs72J6vvGxrz7X3fOWe7dkutAc/ej8e/Oj9AN6evnLXBtvd1R4+/cnPjkK5NiKe8G2S\nbTeoXhCRE6Ovmh8sGfPHaPqCpVSwEJN5yvJydQaoz6i6P7r/q9nULWZ/OM9VhbgoVBYuiUFBQ1W5\nsxzBzAxkX5GOiUZjpFJSnD4LMT0NzLUhZ9sIBnPIz1/QJGM5KC9AaQ7ECVgouCB1egqyPT2lfm81\nwK0GZCOGeOWUY+mNYgSHDkDOthG/ueRQBEliCXi4KCCaTQXDnJtRiIDlNVCeK/IfQQoiFCmINTUS\ncJaBkAMaWWC0v8EeyYOnRwioyrjNLHrZP1sVqlolA2iQACPBcXU3QRWojve3Sv++PrhLyFTnQd3c\n2LSvW1xWwO4vVD7yUx/cXtqZsSszkG8166728Omf/txkG4+rRo9h0i9DyzZniKVqll0fl4uKL/X8\nYAkiXhSuyq3lDO12RU0VtNraUZr39YRGrOGJjjTNEJA5Rh6RJOOrxWPMVBvEzAyQuUqwrWAMh2WN\naUNolGbjW0Kqpt89otko6U+XFS7Yjcf3ZYaEJ246rfFAuGfQRxllGWQNd4R/j8y5a833i0VhW3VM\nFQWAQleZ/X2+kqhc8abayogchazXJQ/HvSsnJeG5zCqL7yd/+dFf3P6B9nzljlh3pat8ZYmNuwKT\n3cxHUtUv1sBtN0JO6GeYjKINoBRbquZr0/soDuNPBqrYYc5nEDUUBM6/arUZAKUWGt//UugUGigK\nIQ082l+/CFKEZZNUt8Vo9ZwL6aDcRWFJyihJLDSbiSDWlc+VjRjBwry7/sutetZ9L4VUxHLQsZnx\nOUnsmN2ZLXFa6f0SBu5Y/preIz6jIBjlI/K2MzB+0W6WGdJNhT3w0EgD9+5QQ/EQnv69qdHxVi2H\nk5D6Sfceqj4DO4Xm2aCoY30l8xX3lb0nn0P/yefMr1dF5WbXBtsA6gOGas+AD3MByix/fuDhaRfX\nSh5YGK5Uk1MIUAWSwXmmHr4oVhPTn78lGLG2INDQQVEL77B9kdWF1oguM5eOX93PQr3NC2TMg8FZ\namHjhkVcHNinHu48BzUStfjSZGIURhYyyHmuGLyfeh50y43gPEd443Hweg/UagBSgs4tIhICURwh\nP3XGXkcYReDpJoa3HETeDhCvZBDXH4F85gU7Lrm6BgEAgUCxuAQAqoodhq76nSRI774B4XoKsdIF\n9/qgMER4cFqzk+vgfaqt2H1N4KxfSBZ6Eyh2YvZ7mwTpRZ3q71TM5NC93S5oKAXCvsyNucd6jig0\nghcc+9+JgXn7pl/yiiBNBwPe/a+Fq21Ujd7MOY7rP6+zK9nLvQszkO8UIzFmYbmRhJ2FmVWg6OP2\n8Z4RHgxLElA2+CO36JRZ7hayJBzTNZy/HPFxdZBOuOeSBI0G2AAQaLi3H1Rqnyq3KL0lGg23wBGk\nkn7mZ7+NxFxPI/F4JTw5wk3Oa+9fGEIYGcRCQmq/bpE65lo8CKmFjvvM7oNBeWFmLIoUMajeV3Y6\nG47LDdBb+OnvXsRl8ru6ALsk3+aP25NLK7H5AqOLej95OGkw7Qa1/X2vlu35yitnpfer5+PGKjpg\n5OcN+7f9X3UCkahMguu33XCWu+fGn/NBANJjqiYDje8ojUJ4PcCSVQEIsGsc+7P3TJZ6ho1pVYCJ\nVBrYC/TN9UknscjDoUI36uOKVVVc4VbDbi+GmZXlkhcvle6taGs5yeNHIdsJONSSXaeXIPXasTpO\ny4oeRy4RGmvGdwCchKXviTSPkg8X57Dib7ztOXNJSMuNkY4p1unxkJH1CoIShN36R++1pMh7TeK6\nKM8JOxwqqUTU+tmqFQXkmHac0tyuS3ZsgO51B+HJ1447ucbc5FCtb303Wt+qVG7WH3rsqqjc7LCY\n3RW2ui+T/AWYHN2mkmFXwbjppw3Kx4AKcMyihFnDx6XnfEVZ15Wi2Avq3cNgHwhmzcZduAylCQLH\n9QrVWXXS6heB1Y8NAohGoljE222IRkNVjOdmazONxcqqqhgvr0IuL1tnL4dDWx0Rs9NqY71/sG9e\nVYfX1kEz00qGy5DJDYaKeEfKUqANQJF4EIGYsXpTiLwVgNYrTlsqUrT85CmV0AgjNR7tNINDB8HH\nDyO+2EWw2AENM1C7BZqdURXsZhPUaqnzDoYgIew/eL2B1Gqql1yW22yf38+JIHCawFler23ooxUA\n2CqLHwRUWN9rTQRlJyY1iZz+rku9kbUw8y0sCuuC9atU3dnYaAv/9mzP9mzP3qm25yv3bM/2bM82\nt93nKzetbBPR/wTgNDP/JhF9AsCLzPzQFR8ZsPEif5JMtK4IjzJ6S5UErx6DBCAIcjgEESlmWB14\nqt8jG4QBsIE3xbEmrZKuqilZMV97pDTm+CU23a2a1gunALYvmE2vMin5Mmq1gCyFaLfB3S6C2RnI\nXm+0aiILFGtrqid6bd3ppOpA0VbBZ2fA/T4Krccql1cgxIKC1wQB0OuDC6mIO2oqIMXaGig6jsFC\nhGSF0T0coflqhGBu1hJfyK7KbgYzqlrDaaqCYR3UFhcXEQqhtLZbDVBvAO71VGC8bx4MgDpdcD8F\ni0B9VyYJYhgegwBIM1u5h3CZQAtV1OzzcjB036dBPKgR6q+zJmO3WVtDdZtJ+r9HjjMG/l2XZayr\nfPuf22urBN9XNLiu2NuoWnNNfeU2TPmNUXiZ9SdAqbIjYlEPR9sOn4RFkuikpl/hGaP/aqFh26lC\nmgo7e+ctpKq4eNBK2TcQyi1OTMPxAagEX0NXqlfXXGVBywwCAPp91fYCuCoPgCCOUSwvjz1NcP1R\nAECxMAXR0brZaQaxb0Gdr9cHdEWFJSuIoj63vVd5bmGrRASE5LbRRkkCaUiJjMwiAFlhCPbJ4Hg4\nLPmSUhLTbFMhOSuR+/jmwVd9CG0doZ9r2Rl3rAnmyG6tZvu2yZTsPfks+k89b369KtDI7diu8JMT\nqDL4iB3bGqY/ryXnG9e6VUVkGkSLj1KUwiXodTXa18d2LPx57TMw1mQBHnqFj9xBnE2bCIUhpPZL\nIpZA5FpMHHSexkOiPaMwhJift/uzrr7zMHckiUVhSd4oiQFTeAkDkPYv8uIiCr86bQo+774VS9+q\n4eWCEKQM0re5HQhEpip//mKJUMwNUIDm1BqzWJhy7OJZAdLEtdQdlP2/KdSkFR/jy+5OAtMu3SgP\n7Tpw60DWCAL/vMZ8kko777RSkvl5IoK0cUOqIJzGFgJLKF6fOG2LRZwrabtwXTkJjHwfM/9rAGDm\nzxHR/w7goSs6KmMbBQwb/s0RS6n/KlDecRORpRdIE2Saqd5gcgRcBh5nXvCqn8Rz1pqFHNDQDwNb\nFKGVq1K6zgLszwi/+rxZEMajGtDMBO4PdACunXu3C2o0ACLFXEkEXu+C+wO1MNLMsqVjVSDsYnoa\nxfIywhuuR37ylArgh0Pkp8/Y3u5gRgXz4/p5gjtvA51fgbiuhfln1gAhIN84XQuFKdbWQEmC4OAB\nBSl/84wdV7G0rCBIjQZw/Dp0vuNdiNYLNF++BO50wSwVW+faurreKAaFCkZu2XWF0IG2RjcY5IOB\n/ENDkPwXpBeUTqS9PeY72/Sz6vmq25igv+rsjKPbbI5X4bZVhtHqouBKGwOQG5+v99Sz6D91dXtr\nLsOuna+c9Lur8AjUvVCNigKA8ssccAsMH/Lo99vW9jJWFqiA86lAOfiaNMFaZ5VFc2lR6reBmPab\nuoSn35a0BfZd1hKEAMB54QJe7x2gmGk1THKqDeybUzvHEainF6VQAayfGLW94HOzFvYIIuT7VZAu\nBpmDPaaZvW4xM63g6gCQ5VYmaCRhUlpYuu/EKEaQx6iOcxdA09OOMT7LVMuON3YAZRhjNcA2Vgmk\n3XckgMCbR+ZrLcYsAKvcGDVs07Wf19mki9SrnZicwFe27r0LrXvvAgCsf/nRqwKN3KZdOz8JlIOV\n2j+PQsrHBbilAMXnZxhXTGHXCkEBvDmPsiShEGDpccn40POtBnaV8wMorWP8n2UKCylnjAZgY830\noTebXhAK275T8mdego6iyMLFeXkVuVHH8Q/daqF4z20AgN5MhCBV41s/JjCcIwg9/PWjLUy/qY49\n840AYk0pPHCWqXUwALl/FkWi7yWrIBuA4hsyFgaA6eUWAPVNK2VRUrKw3wNzqce7ti0HKMlAKt9X\n01cvZVl5xvIaOZg7+czkQPm978HIx5rPPl8aYMWHbiR1C6CWqb/OJvGVdcjL7doEvvJa2CTB9rnK\n7ytXYiBbNr/CN1Jh3MIkqGZkrLPU2xQFOAhKi5ASszQAhUbwNPO8KrbVFyVyZFyCLM0+CXLnqmZJ\nqwHURqb7g1kq50lJonqyIwX15kYC6g0U3NpIXklGcfHihoc1vXr5yVPqNLmDVpueoc0ynsWzL4KS\nBNPfCMArayqbuTCvpBe6fRSXKj05SaIqQkkCajbBa2uYRYqjg0XsiwuEc3PoNgQunuzh/LCFtNtT\n90479mCqre6/LMBSsZ6bIFv9rBEAvgRFf2ATIbUZ6e04gM0W7HXBLuASRiP9stuo6I3blhkTO8sr\naJvd1ua9d6J5750AgPW/2dULSGC3+so9e8eYYImDxRqOFGuYKiSQR+iKGGdpGuc5gNxErm3Pdq9d\nTcDRFbY9P7ln19waRYojg0UcSleRpEPkJLAStnFGzGGV491Rod2zbdlu9JWTBNu3ENHPA3gZwC0A\nbriyQ6pYFeZqguNxTMrjILGTVBZr9uU8V6h+DdGorWyayrnpwWapMpXSy2Lp41kIo65ql+BIk4xx\nQrOZxDwHZzpbVhRAs6HILoRKBojpacU8OyHz7mYEPhvtl7920v4eHDgAEooYKFiYB4rCQsqLtTWI\nRgNJbx33NVbwAF5GAzlOYwrLU0dR5Clm3zyN9xTP4XC6glOYwaPyIJ4vZkHT01afl+LI9cibcRQF\niAnUbCjG8sHQwcpNT3+NWS10oBwI1823cSR+tQem+uNtljCqewbqzrMRMeAOzrdt2y50ipdh19ZX\nTmo+27h5Nki46ol5boCS9jQXHqrChxwTW1I/luOqRoFLRAJOa75qdf5+w2vxM+6O4RUsvUpRudJg\nmXfDUCGYdGVWJEmZaHMLRkS2eoI8t5UF63ehqhOmWsythht7XoA13JvyAsHCvCVSk51OidCM9OfZ\nsVl0D6sqy9QZgSOXLuD9qy/hnuw1rMsIZ6M5dCgBsj4OymV82/A5TBd9PB0cxmPJDbggFMmQ7A9A\npnrSbgOkv5eFWZeIzAvF0AtAHDmktGmNUsdgoOQkAQgPHcSSgbxCTAmUqye+TwJqIeWc5+V35Faq\n1JPallt5tuDfd9LePr5yd/nJCSDl1b9RpKuMPkIHcGs+YpBBZ/gVb7+iXBSq/AuUEZGsiMzIQ7GU\n2t1M5XiD9cq2zYedC1dk4jzbcK4bMrcSCsr3wbroA0ARg/ntJ6YCXV1beu+a8JLapnvdflx8j/78\nxi4WZru4cFHBwsNvNMDah+T7pxDoMeXzTbD+LqL1Ie689Bret/Yyjg8v4Vw0h3PxLIYUokXATb0L\n+Ei6hDQHHmvchCd5PwZs2mEIPNRIB69Qg4qqjFV6qBLckXCM7P6a1HtfsCYrNuewJGr+vddStiPH\n8arZ1Xk5grTw14K2rcr7u080Pc7Goen8zyf1lTuNqtyFvnKSYPt/APA/AvhJAE8B+PkrOiLf6npQ\nJ3m5jYPgUrkvpu5n0jJRysF5xGqTwIcrTtswe3M2CpcssVbXVTF36CVu+/9WXFFQtNtqkaXlsiiO\nQcyTBdJbhFeOtYVZ1T/diMErq7ZnGwDAjDv7p/ARcRKvZQfwh/MP4GSHwEWBIDwAmmpBXlqC7HQQ\n8PW4C4v4BzMX8O3hJfxBfDcuxG1F1pZmro9FCAVPb7VsYiM/e07B4vO8/trNC1AzChsmcgUp8/ru\n61oa/D7v6nz0ddOrDPLmb/5c9W2r82Ic8/luSf29veRsrp2vvEyjQJR7xMxLPBAwPJoUuBciFRKs\n+5tZYHwQ5PWilfzciLTIGIUIK7O4BfZ8PX6XSKgP4LkoQAjKwayV8duaFJeSP/TeEZ5kGcyhfPhk\nmqmgVW8rWzqY5TZorQuaURBxGg4dSeRN12NwRC0s81YADghxkeGD3SfwwIWX8ej+2/Hp638Ag/Oa\nlfj8JUCz5FLzdkzLAe7PT+Of9U/gWXEQfx7fiqEh8wQUXNyw9mY5ZEsnD+IQw0MqOI8vBhCDVCUL\noJIDpi8TRbHpO0Qt2j0UmDEPPcbs+mMtj4g9QM08Mb7W/8yfN+MC80nWEeMSkuOIKq+kX337+Mrd\n4Sc3aj3YaLdAVH73emxNgO23SKAS7NTOKemhKaH8V+nv+tnwZb2A+uQgeaTA221708e0KglZecx+\nb3bp8zhygeMwBQpPBcKTIbQ+Nwpty824nncxN4u1O/cBAC48QGi8S61l+/0YKycOoN1R+8UrjEK7\n1LWbmoh6ykdF3QJhN8eB4Qp+6I2/BbICj0zfit9Z+DYUmmAYRBYZSXmB67vn8b7B6/hA/1l8cepb\n8Ex0BEjTktyiH0QbGLkPi0euSZLj2O1j/+baeuRg4GTbotD9POO4PHgwLCdZ7C1qTttCAAAgAElE\nQVRiNx/0Otea1yM/0fuz6kMn8Y9+y+4kvu8d7Cs3DbaZeZ2I/mcA+wAsMu9kSnlCq+s1BcYHI7XH\nUGQUhmTH/9nfz2XRGSCMTkB/+3ETkwicZzZpqcbqZfH1QnAk2zTu5b7DwZEJbFkC3OlYKbPNAmnR\naoGaDSvNtZmJVmusVASt91Q1hwg01Qb0mAQzvg8v43p08NvydpyduVlV4CMG93rAcIjcg77LKMbX\n3/dBPEXAg6efxX974e/wJ+JWfF3uU45RB8mUJEAYatIOp1tZCvJLAySt98qll2aZHKXyfzWoriZR\n7N+9OWVbEPRn5v5vhtwwx9vOfNktgTZgyU3eDrYrfOWevWNsX38Nn3jqS3hj6gA+fcf3ox8moIIR\noz7g7YgGHopvwSPxDfhw/zn8d4NH8O/4DixT8yqPfM+2Y28XX7nnJ/fsatu9K6/iI+dP4C/n78Hj\nwTG1RtqAAOxUtIBT0QKu49P4/v7zeFd2EX8U3IYdKDPt2VWw3egrJ2Ej/xCAzwH4BoD/SETTzPzZ\nKz2w9mwLn/rsJwEAD//xCSV2rgZUX502ZrLO41ibzWa60qJ6pgsvAPH8/jgoxVaDGUtspbNAhtXS\nyH+ZKve4Y1R7eSvXbKvx/mdRrBgtU02AtkEgXZKYIoJoNt1+vt18HIPDbTTOHgC/dkqx9w4GqlJe\nCVopSUa1DpMEdPtN4CAADzNwFGD1jlmIYh7J0vVofPMNfPz8V9FEjs/gXmQUABcvqv1IEdYFU20E\nhw6C4hjpjQcAATARgl6Gh2+4G28MmvinF78M5EfxpDgM0Wp5QbEEggjUaFim9bGm+7cpCsfDm2rm\ngdXhNhWVOjSGCNzcnKSCNq5vfFzgvZ0AfIvw3Qc/ej8e/NgD5tftEZex/vc2sV3hKz//uPOVm5kn\nPWhbZQCVlDIkLexVIaR0eqIsS2QsrpKyUTuMn10fn8S0lSJPGxpFYf0JRXGlUuSqnbZKi8ARDHnM\n5yVWbiGAKHSMwGk2nh17ExPT044kJ1CkjABUwk/fJ2FaVfT1QEOzISWCC/Vtq2LfAuiG69RmUw0U\nTXWs2WwdP/3NL+Ivj9+Lh+64E9NvqmttnuwAHeWLfQg6IbFVmV5R4PfoNjyA0/hxfhq/Tt+KFWpo\nAkn9PYYBsv0tNYZM2kJBPpsg7g7ALV19yXMUS3rsNe8lez+sIgiXYf3sqjIjXCjGNvOR49631b9X\n3+Vb5b3YSkuDNt9Ptmdbk59v5Nh42/jKa+UnAaA918KnPvOTAICHv/AEHv78EyPb1JJG+n7BJ7Ty\n5lAJxsts/U95fTnG/LYwInBWOObwMLL7kybZBeBg5gBQUKlybMcRxbbFx55nC2bVBzTiLphWcrDU\nboGntd517l2fj5D0n2kAQkOiaaptfSJHoW2/MZVeY0aZJju2D4M5tX3rLCF6QS035i8VGM4AqVao\njfpsyRSTFYmwr859T+c1fOj8k/i14x/CYjAN0dXtLatrjoBsqm0ZxbkRg+fVuU8Lgc92ZvEj/afw\ng9nT+N3gTnC1lUqyI30TwjGTJ7F6Z0YOLWQQpsXqGoRRo2i1HGLMIC/1cV2rUa78M1AiSDMcRHb7\nGvK8Mi/UuHczJveHtTHRGGbyLRzjwY/c97b2lZPAyD8G4A4A/4qZf4eI/rcrPCYAQHe1h09/chP/\nOyn0Wr98RyRlCKMSThsFNP5nmwUnPux9B0lpKAjALG2gbh+0qkPX90bMzarPs3wi6QYwQ2pJLVOZ\nFo0GaKoNmQRovroIOaUYzhFFCBoJEAQQej97GC9ADQ8fUr0o++eQt5VT4khAJiGyFoEDQjAM8OC+\nFcyeH+I3cTdyvz8qDFVfpVl0pRnQagICoEwim4sRdoaIXz6Pcxe6+HfN+/ET3UdwLtmPc2kG0XS9\nlJznjnhtfd1ec/29kPWwSP9792DfI+zHFWiX3Ve6l+rEUB2fhXzSdorScWqST+MC9AmO6wd1H/mp\nD26TuIywG+E+l2G701eOgeeBvEWkcD3bYIbPFF6SUPHkaOwCo98vKyuMs3HzisgF1UCtZBQlCYQH\n1yTdRycHQ+df2fUwsgc/JgQO3qml/Urn8c5rYZNxbMkhNzKzgEQgHMxvmDr4dtstpHgwsDBt5Lnt\ne+bh0N49sTCv4PkGrpgkgIZsi+4QYTeCYIkfPfMQvnL0Lnzt8LvRvCQRremF2MUlxccBINByYOrc\nQ5sQpSQBJOMxHEEoCvxI9g18Dveoha/2lZRmEJlefBIQ9jQpZizAcaTkcfS12h54n7Xc/66lBCK9\njQczBQCZbiHpOKlN0ks4qdXBxbfgK30/+cuP/uLWzl0eyGX7SiK6HcA/AdAH8B0A/ldmfvSyDro9\nuyZ+EgC6K9pXjvOJfkLQX7cFrt3EqJcAKPsT4Um9Sl+JhlQwDIyySG8U/HhFAk6dXJjpjzYku2oT\nBvnlPO3XSwjK7Txj3j4Uhg4GLYQKsqEC5tKaaN0VXoxfpzC0vo+j0O5LvUF5jWV8dhSCZlQUHS6u\nY14r2olBDtlQxxkcSrDviSXwG0qxRnY6CI8cBgCktx1BNhXicG8JHzn9KP6v274bFxtzaLx4DnJV\nrYMLL7gXRw9gcETBtsNBgaCnfTm3ka6s4j9Ed+Ofp0/iA3gTX41uUuoOJulBZFnXaaplg2tuJaBh\nBurrxGu3bxMhwcK8U68YDEscS8a41yvNU2kSuMNhpU2mJjkUhuVWnEmsLobZdPsttHdtAiF/+AtP\n4OEvPAEwX3NfeSVskijwTWYewOUKtseQtVM2yYvOBDREzqFVq4Am+z1uIlYnmggqvWMTZCp1oFQi\nqNL/2O+n2My86+A8U5lOL6umNL7L47Gs4bq3RA6HmhBIX8cmDxLnOThNEczNArfeCD56AJSrLF22\nrwVOM7U4nZ8Dd3slKaD/n733jrEtu847f3ufcHOll0O/juxMsslmaCYrUbZEUpDEgWwPLHqgbGtk\nWWMMbBnwYABBwGgwgEeQQcuK1tgUoGAFmpIsipIl0U2yM5tNdk6v++VQ8dZNJ+w9f+xz9tn31rlV\nt9J79Zr1AQ+v6ta5++yT1tlrrW99K4d36BDiXfdBEJDccZyFdx9g5bYa8VRgxCZ8QaWtWLoLpsMV\nPrj4PP+FOwtHWwiToa9VC0cg8BGVkOjkHP5SH1XxaLxwBf3ksyTnzuNNT7EwdZgv1O/mk+mL+NUQ\nrTW61zNGLVXo1U6xkF4vqreh8TDXtkyAKe97XjjLE0T7RpHX85d9bnfm3OPrIXfWd1KEYiegN/Fv\n72Nv2cp9vCXxkSvP0vdD/vbE/dse6yvyJD0CPsy5HZjZPnYV27CVQggP+LfAz2mt/2/gR4DXr8W0\nS7BvJ/ex6/BUyt9/7WH+7Ob3cKU6s62xEuHxB9W386HoNIfU6g7NcB+7hj24rpwks32nEOJngbuF\nED8FnNjlOW0NZQ7Hes74JGNZISvHeYdhSnYZpXgoY6iMQi9Yca3cwdZJSYYc1mZF87/n87GfZ8qI\nfoDw5BpFcT0YoJRG1qpGabdWRUiJVspE1ZIEtdoxUdgwLMTUMshmA9FooKo+SStEeYLas+cIzl4w\nWQytoNdHHj9K8trp4nutFvqOU6yeanD1HT7q7ZLoUpWjD4M/UCZy+NxpvMMHUN4ch54K+Oi5r/I/\nZu9l1T+Eb7NqhrYqggA5NWXFcnS3h//0K+gowgd0vY5/yyl0exUOH0AnKU9X7uOBi5e4r3eGr4kj\nhXKne47c87oJQSRLO83bwGX3SqH4nTrZNoceVobRaN/Q704W0Qo36eKeHL3nHTbFEJ3dxbjyhOtV\nx73N3QohJPA54FEgxKjb/rDWurftuW0e199Wjis5KNsG7H2q0xTi7PM4QXhZhD3wIWMEiUoIlew+\njOLhKHxOVZxEUyD/sz/m9ZMr77rCZfVaQc3u9YeUxscKFdrxCmVWUxqSHU/ggwwLUTDfR3cz0bfe\nGC2HoXEd9e0xSrAC7Jx0qhA5I7/Ts+U7eckPQHLuPDjUfb2yAplGhXfn7bQuLvAt557m//nI3yds\nm2e7sjiw1EZ9aA6VZZFlP0K98ob5eW7GiENCplvRt/P4LLfzkzzNY93jxA1DDWXg6FrUfGTGaBB5\n2UGewWvUbaaNrH3iKETWASNH8f5Ldl5N2e7EsW3jMiqbDTxukv2z49jeLt+LuR3/mRCiDswDv7YD\ns9oKrr+dnPD6DQXSc+qz1oj8ver0P0b4lvljhVUB+gVzZSvB7qFsuE5RbtWfw6bLnysZBsV3XKHI\nbWa5Ra02JGymqyYzq+ohsp2tq5ZWCoZPFBV20JNWgIylFed8OLTrIEAGRR9rS62OE/yrbbtf8aKJ\nEdW63TU11DoTFVu8o8qD519hZbrC07Xb8PNMdadrOz14t52if4th/8RTvrVtaU0SZKwEL5D4xw4D\nsLy4wt/2T/Gt3Zf4Xe/ego2VJYAAdK1S3FtuH21ANGpWLZ0otrR5nTr9u30f8rLOWBdCm3EynNDa\n4PptSxgPxt+na8ohSwQr1/t+2TZbYRxthA0e7+4zz9H7+nP5r1srg9wkJnG2fwb418BB4Cjwr3Z1\nRlvFTr787MMyprVSmSNctp11iArnyLTG0cUiYM1NOkaF2tmvrbG2N3sKBKVfEWGAzlRiZaWCTiJE\nEKArAXS7yGbDPOCeRA4GqF7PzildXsGfm0UFHoPZgOYry1CrGsr4ShuRKXlTDfGmpkzLrlYLOTPN\n/L0trr4b1KE+jSdazJ5RCKWpXezjvX7RUNpXVqh6Hq0k5B2vneGXqrcZ45IZQ8LALKaroVHWBVR7\nAW921hj9OEYeOWR6cmuNmGqRNiqQarzlDg/35/gIZ3maEdXM3LnO/9/Ei8d9uRnGQlarMhp82WjM\n3CF2VJqF72Nr+IudDIuyuYyNkfHWUMVdtXMov1dtmcOEapI7jZ3Z5Ve01j8PIIT4LPBJ4Ld3ZOTN\n4cawlQ5sjbMW9lK4DqwIfFuLrLVG5Iu1OLKLFq312mBQjnWcf7c2MqdA2kUHGMpitkDLaXqAoTDm\n4wb+MDvIYX0MPatujWW+oAtCs0jKnWGnBQtgafJjFbZVCkHF+T0bh+Ic6Cg2NhaMUq0N2IqCMukc\nc16PV7pYurLAO2sLvBoeJjmbUqmaBa6IlW0zpAMPkS3ykpk68Xe8E4BoyqOyZMasnl50nIIBy0GT\nV9IDPMAVHpfHzL5qVWSULVBDaWmVKsipsTnjJrUBCpEJUOY/u6UIVqE4iovAR5que3/sCEYXclvd\n3/UKRg7NYe1H7YcfYfVLj5ZtfXDk95uBDwD/s9Z6WQjxGSACfmtnJzkR9p6dLA3IFArhAq+wDZ7D\nOBOicBY9hto9aad+1tq60Y4M6wXiy+AE+xGy1HnWaUFzz3VnzOcpxFsLbolKxRxbHgSsFyUj3pVl\ndDcrK+n3h2yonVOcFE6/+35wghJCCNOalizQ6hdlQ/rMJfPjOi1q9QfeSZQFg/2B5kPnn+e/3/Z2\nEu0TLps1c3LvzciBsWWdY3Vb4618wepx8920AuGy+bl50aOxktV4a8VT3nG+NTnNlBex6mXnwNXi\niGJ0VlqkqgEi9BGhOWdypYvKuwKlaUGxbzVt6Y9OnERNWLAadZoaRisMayztNMbWY9uJOD87OlTu\n+nFsicY62Gn7usFw9bffS/3t9wKw+qVHt1gGuTlMokbexrRpQAjxADBZQ+Z9GIzLVo7+LacZbybA\n4wrFbdDeRLZa6HYbnSTImWnU6TPoNMW/5RTq6gJybsa0xqpU0L2e7YWo6lVEqqif7SJ6kan9nl80\nhjeOTOS0N0AfPYTneTZTPpiVVK+Ad6ZK62yK8gTT//1l0vmFoWikPnOed75xnpf8FoOKh7pwCaRE\nzs4UwjpLK6jVVYTn4U1NoW45jnd5EW69CQYxHDpAcqCJSBQiShC9CHVlnpf0LN/LK0wzYFm4i+LU\nKrBvWgfV1k87wnau4Nk4h7aMdSEkiBHnJK/HhyIbLx0RJ12wLoQUI1FvRyjKfj5Bv+7r6Whvs7Ym\nU7LNHW0fOAm8uO25bW0u+7ZyH7uK+3tn+WLr7h0f9yl5lG9N3+DxHR95HzuCMbay9aEP0PrQB9Z8\n/sZP/e9XRz5aAV7QWucLy4eBb+U6ONv7dnIfu43pfocjq8t84/Ap6pd2bm0zED4veAe5V13hMaZ2\nbNx97CB2YF25G5hEjfx3gF8Evgv4TuDrwD/Z7o6FEB/FZKAuA1prfc1EMnYUG0XKNxKhGv3eVug9\n0mQnZauFEMLUZ2eCHqbPdzIkXuYqcSevG5qhWl01VOwwQHZ6JqqoNWKpjYiqJAebpK+abW2kNE4Q\nB+eITszQPxAy9fgAvbhIcu48x/8I1KEZ0kaIf2mZ9LU3ufBP3s+xv7gA7Q7ppctmv90ux/UV3qBF\nsnp26Lh0nCBrVcTcjKGcNyrEFY+V22p0jk9z8JmYYCUmfOMq4skXTABAa6OmLASpEJzTTY6zyjLG\n2ZaNhsk2ZRFUrTVqdRVZqZRHTUeur46jLCMeFRnmzarlZuOORijHUX/s50Ig/MB8z+2fvR5dt4ze\nM2m5xTVAWYuG9pceof2lR8o2H83WFOMI8feA/w34E631Ezs1v81gT9jKcTTZss+dyLQrsKNJbeZY\n9wcm8AYwGBRaE1oXVG5dyKMJUls2s2EkSzuUyxyu0KOTUdb9vqGSk9Gg80y3Uk7GRNjjcVXFhRDl\nomhJAp4sMlBaFZmVNB3fFtA9hFwhdjTwle87TU2LQzLqdSaKJpuN4T68GUVQzkyP7ZSgFhY41lzk\njD+DXOmCNJRJHRTnT9V9Vm41x7B4j0BmpQH185pgtWAD5LRH4gq6pzmnZziWPGv6pwsBgwhvIQvU\n9h3hs3po9pdfozBATmeLTs+hhCZJQSftOXZVqYKVkJe6wPgM31ZKXMpKs3Ksp9GR/32v6Vpk2GY7\nm0eBA0IIT2udYjLdL+3EvDaL3bKT2djbX1c619/allyDBUymNXteh+jiUSGWlm8HmIREVrpC6thH\nGBK6mrQ3dsHkKVc512mK9LIsqE6LUpdtUIv1YACtpu1GITq9ghauNaKZlaiEgbVfwvcLUcuh+SnL\nigKQ05mceK0KGQ1ca10IsK121s1o5/BfOsPV77kLgDvSi7x69BC9Ax6dY3B0kNngRKFmzLmJWpKV\nW8y16N05AGnOpXexQphpCXt9h31VrUKqOCMOcrJ/xR6DqFIIXwoBfvZO9SQiTZDLneI85dnsMEBk\nauR6EKF72fo8DApKutZF56IwLLLn2h9aE27LPo6idK1asMSGXul5osYdF8azKUfXI5soOdssbsjW\nX8ATWutHhBC/BHwQ+Jfb3WlWM/QfgPu01gMhxB8IIb5Da/1X2x17mxObzGl2cb1fzrkImydNjUxO\nSxbKqBcqPRntRGv0/CKi1UTPtEwdTmeADn2S6QrBxbYxhEojpqfA99BLK4gkpXukQvukpPVssShL\nzl9ALi0jBwOS997Hy//y3fybj/wh/+/UJzn1Gy+bjTIa91E6PM7R4ek4bSN0GKDqIXEr5LV/JCBO\nqZ3xCZci5CBBzS8gp1vobg9x/Ai6WkGcu4Ss17nYbXJUd3ieAwCoXt/UGIaBUQ0GZLNZSn0Svl/e\ntsNSxh2V8GtBS9RjruVmxppUr+BaoWRXrQ8+ROuDD635/PRPr8nWFMNo/Xng80KI/ySE+Emt9b/f\nyWlOiL1lKyeibzlUx8TRCHDpkLnSque0vNEKnS0mDQPDWZQ4zu+G9dRkjr7M5yGtPXXbZhHH6NWC\nml3oVRTU5XWlEXJl4JG2PjpJHLFJic6UdEfbFo6FVT8f93dlF43I4tiQHsTZYq1esyq/olGH+YXS\nczVHn27qEXUTklNzaD8PakA8bRZo7RM+3aPZ+RMaL1MukDGkFbN9MlUlWMmOc7WD8H0GIqDjVZnt\nLTAvM9p7bn8bRR9uMYhN68Zq3rZM2zID0e0XLWm6vcLZUKqg7gtR0PI9D5HxnDTl9H8XQyUK693b\nkywk1zDOSgLhew3bmJbWekEI8a+AXxRCXAEOAT+3QzPbLHbcTsImbOV6AWdbVpXdh25NdN4mygne\n6SQpbOVINxKblOgPihIT9x52tFjAYSeu9w6eRNBXFXXdIvDX2LytQGaOpm2PRWarwKiL5zTyKB4K\nng5pOMRuCzLHfufjhIGtUdZS2jFFq2ls4hj4N50E4Nz3n6L7AWPXbv/qaU73DhBPaaZeg7SSnZ+K\nR+eImd/ifZrgqBE7k4mHvmKCypV5gcx0SpKatJ0sdL+PjiLOqxrvUe3i3VSpFO/FOEGsZC0qu545\npny7QWQDxgwGpBcNNR7PGy41yiD8ooSL1AnwBAEiO5c6SYbLsXKneJJ2c5NCpYZRWYbSfYw44JOw\nPa8xjfx6YBI18hNCiE8BT2utE6C20RcmwAeAN7TWeXjrS8DHd2Dc8ZBrI2xrPnNrqcswiWiAu630\ndu4mGrPvvL5SDUz7AJPJjqya+KbqOwIfPdUgbYR4823QmrQRoqVAVwPit99Gct+txKcOmpodrdC+\nx9Ltkv4hDRcuF2Npjep0ELUaL3+qwuuf+DUeXn4bH/2Bx+i8/1a8Q4fsiyMkpZfFfUSlgjc1ZRba\nKjU9cpOUeKrChQ9WIBWIVOD3YTBXwbu8jKhUTAuaMEBN181dffQg4sRR+pU6tWD4RYTnmdqaKDKL\nYd83teoMZ750kmywqBuzwt5s8GWPZlJuBAgh7hVCuLbjdeC26zSdt4at3MeeRIWUnijX5tgJ9PCp\n6G0K6+xjz0Jr/Uda63+mtf45rfWPXicRSdgdOwn7tnIfGaqDmG4l3HjDLaCPT2WNNNs+9rE+Jsls\nfxH4x8C/EEJ8AjZVVTwOhwG3ielK9lmxwamD/P6l3wCgs9Shs2yiRX/6a3/Jn/3aX268h7Ko9ajq\ntFYlnzkRznGRl0nbRJX1Wd7oOy4cVXThjdRl55HVXKFwZKxRypCsViEIDBUmE+DRUYRw+smm8wsw\nv2Dqu6tV9MUOwcoM6dFZ+seaeP0UFfpEUz5yLqTZ7aPOXuDoo3MMZp0ejJger+n8Aqrd5uATHj/2\n4If41Zv+hrv+8Ce5Y3FAeuWKPfcKgYfCu+sOEyVtd0zteL8PQUh6oEXQjjj8pOSyDohmTMamdiGj\n54SBiQwGPmKQoqs+2vPwljt4h+bQqyv4taOolTaq00FHMSrpIvzAZLAcuuimqVbrCeRtBOG0DRvp\nmW6V60fnU6ZAnu9zI2bGevOfwOH/2I99lI//2EcBaEzXacw08j+d2vDLY7ADdJ8B8CNCiHdhVALv\nAX5626NuDTeGrRx3zd2MTg4pC9aHEOjcGXOzFOBkdbwikyIk4LBARkVUnP3l0XnhzM9ktnPqph4W\nKsvp79HwPOzcVfE86VRZ0UWdKptxEnl/WGeMSajjZTBZCCejk9HLVb+PaJvsiajVLA1TLS3brL9/\nYBaRC8EtLiObzdIe3wqB9CXUayStEJkxEbQURC1zPmQC1Xlz/tJVYcPpg1lBmHWsCS4to7JMkc5s\nDYBMY5JOFyUkfrNhMzKy0zMZGhjO3oEJVqZFBttSxF2hO1cgbc2Jy+8BV2yngNXFgKF7BsH4LPe4\njPV62EGhtrF2cptj70Vq5BaxG3YSJrWVF38dGGMrHd0crTSoLJvt0sVh6FrmZShD4o6OerT7Di9E\nVTNbpR120ATISwOB4c4oSVIILvpeIbKq9NpndgsQYWhEdmezFlqOsKTo9GzvauK4UN/2PJvZFp5E\n5yK+SiFzJW8nKww4yuQexM67Jk+MjWb2H3oHz/0vhlE5c3yBeN7Q0Ntnp5m6qpgJoH4pQfvmHHQP\nevQPmJ+9HsQXTVbd7wlktpROa1hD1TjbRV42XXrS5TZohdR9tPSG2V95qUzg2+x0Lr6p2xmLaHFx\neD2XHZPXrBY0dCgy4XlZJBhGabNRbJNm56/XL8TVomisPzCELbIqt7ztOmvLbyZbOYmz/RfAX2mt\nV4QQba31n+zAfi8DLef3qeyzYoM3r/K/vu9niw9KlbtHHI1cydsqM08g/FSWnZwk0zhJ7dfo75td\nBNi6bmUpnsLzCuEwmdXwpinjRK5EEBrxs1yFN/DRUiD7kWn9tbQ8dG69I4fRyyuk2WJPzs0iezF+\nJyGe8unPeCRVweEvXyU9c84IrkUpU8+tWEMpGw04chDZ66O6XfoHBY/+3jt53+Cd3PU3C4goJv7w\nA/grfdQzL7BEhQP0mb88b6iL01PGUM20QAi8s1dQR+aoXu5SnZ/iyJMJfi9BhT5iuolcahuDHMfI\nOIGrMQQBulbhwMoSF7ymPZ+yZW47QSVTDE3Ny2kzDAD3XtsOtLZONVoZv6TEAbH7LNt/rlY+Shsa\ny85wnpGybd37dOR++rMxztsX1O+/OcnhlmL7AmmvYmr09gL2hq1cD+vcF0P1iS5yurjbykWIYlHl\nqrECeQW3LWkZN5WSRaCK4iG13WLQEWFJXR7ILOohU8fPF0MU+SH4PmQLJZ2mJigJQ/Vy69kGWS9q\nFW2rrEwzA8yaragv19aJdhdd6Zmix7VOEquCbveRzal95DizV18DKahcLHq9qlpAUDf7C9uKaMr8\n3D1U0CGnX42oPWv2ky4sFgGR7FwKrZmjzxJmX2p5BTmV3XZ9BTltPM2c67wlDWlBF3doj8L3bWCB\nJLHPucCDrFaROLZqwKiizm9duvjofeBiMw7zuKDlRt+ZYPxxdvLTj/0CM4e30WVmD4r+bBG7YSdh\nUlv5/n+9dj0GzvUtY6w5gTSHTi1Gg0r5PZwkhRaE5wQgwSmZGRPcd0tN7Nh5uYrTFjBN7bxEEBal\nMtKxcdKxzZtpcTqCtN02a82cSu976MVlOw9bi9yo27aCKF0E32AoaGsd7KTQsTDnMi22zQOT7VVk\nTjXv9fCOHgFg9YETrJzymfm6+Ur/whxzF8157q00uXXlCt5AE7RjZGTG9fm0EW8AACAASURBVHoh\n2jNzlakgqZn5qUAjB+bng88mtJ4xt41eXil0ObI2bwfSFRZ1owiyqLg4L2BLZvTKKmq1M/b9YQMl\n/UERZAizhFh+DmwXGlW0GnO6VbgBjWzQ7PNyDZE9g2zO30y2chJn+zPAfwb+EPg7Qoh78zY728BX\ngJuFEJWM8vMhYP0ay40yiO4CbHQxBuVGZlyGcEMHfcJagzGZo2xCk0dvsux28VXtZG1SI4YWVs2D\nF0W2t6LWjrHzPPNQ9wemHVh71TjUwrQiy+uT1fwC3tEjiIFxxnW9ilhcwauHyEFCsOwRTwUkcw2C\nI4dJzp1HPvw0ulqFO29BnjhC2qoQnLlqsxgnP/01uP0mRHeAOnMeeeIYb35XjeRmgX/6A5z/N29w\nnFWez/t8r6zg3XGrqQHs9qBaQZy5iDh8gOnXY9KqBHyCJKZ3Uwt1+xTVKwOCC0umbjsMSc6cxZud\n5XjnEo/GVTjhmXqZ/CWbUcm97GWpemJ8ix/3ejoBkB2pb3brYfJMYN6WrGxhafeZ7T8TSrP15fk4\n+Rj5XPPP83m7x5SPLz1svU0Zw2MHsz9mHEpSXTc09oat3Cry+0RJ6zDj2hApixSUe1+kafHCH5eh\nKbG/Q9kc1za6P7vblN13o70+S5xw4VeKhYojTEMcm2x9LormBre63cmy3LZuXRVOp9s+LPDtojEt\nyVbD2gW3a4dEENrFW+/qMiurEbMvP8sVUTelOIDnSeo9k3FKpqr4PXP+6pcgfMXUBepOB7JFnAhD\ndG+YQXyQHquE9LNG4KrbLZztagXRz7J0gW8Wfr1sjt1ekZXxpGMfi2AF0huyOXkmXCtVtHbLOy+s\nh828l+3O1glwl73zJxFXux54a9nK3bCTMKmtdO9RWD/QktsirUxACIaDkU4bQtM33hFFy22Ddpxw\nNwDpvovXWVOa2vHMwR7RxhgKzOXskTS17B2E2zZ0Gy2jtEZ4kvRKJt7orC+8uRl7TLrfR3V6a+Zh\n7a8zTwCkKDRBfK9gGeX6QzmycylnZ0mPGFtXP72CjJt2k+5qQDRlzufVeJaPvvYUs50r6DfPWRsa\n3nGK2lQ2JyXR2RKpuqhovWCCB3J+yWTuITtGt2e55ITqcMGfLUoOfb8433GCyvpnk2ZlkEE2llZD\ntt7qWyhd9Bd3Atem/l3afefvEVM77jC6VFH/XgRR1bDPMInWxW5hkprtHd0fe9JWTlKz/ajW+g8B\nsv+3fRha6y7wT4FfEkL8PPDMdRdHm8TJ3g7cBaRKhw29+6/0u0XE1RqgvA+uFIjAR3geqte30Tat\ndbGgSlN0exW1Yqg+amkZ1TU0ahsxTRK8mRm8QwdN3faVK8ZQRDF6bhpSTdIM6R6rEDc9grPzJOfO\n2ylqrZHtHkjw2gNjdDORIdXpoL7+IukrryObDa5++Bif+O5Hueemi1SvCl5jmrsZFgUSShtHvxKS\nXLhIuriM6Pbxuyl+T+GvxnROVImmPUQKOpDEx2bMQrLdRgQhUytXaA1WuKiqJOcvGpq8EMagK21o\nOr5v+u0KsSajVHYNhtSMhSN4tN712wj5vaedft3uPTK6bcnPwy+mPOikinGcF74JOEgbaBkKINi/\njXHId/oZ0Zv4t/fxzWEr93Hd8HpuK3cYd7PA6/utbPY23jq2csftZDbWvq3cBwAX6nO00j5zyerG\nG28GWnN3eoXX/AM7O+4+dhZ70FZOktkevat25C7TWn8B+MJOjHXNsdmojEtpLxNl2wh5xsZGULNI\nYO4wCWFUtmtVVLdbKOkKiep20e3CcUuvXCk9HhGGcPQgyfMvw4WLyGoV3R+Y1j+dOl6zTnSgilBQ\nnY8K2ks+xcGA6NQc/nwPkaZF+5qcuqQ13sw08T2nWD0p+K8vvgP/hTo3P7zM60zjozlFmzeZwj+W\nKZMvLJG4KpSDiODCEt5Mg3iqghYQtlO0EMRNn2A1ixoeOoAM2rz38kt8lcOkDnU6XVhCBD5Siqwl\nR2AihVqPz8q51yHvjU1O9c5qUUezxrsdQSwrU8jhllG4GGrJoAqnerTe26qt7z4VR2y2z/next61\nlRtdS62wVEmnJRhKF1TftGgJZqiRTlbX7mfkHnP3P66URhS1iwg5FDhyKeWWPql0kUlQmpwyNlS3\n6NRYijA0tYFQZAry/VZC0+YQEL2ByQAzee123pJGBoHN3uTtFs0GyXBN4iahkxh6BTX1cY7yD3mB\nh/WJYVueKdsGN51E5xl0pSFvlzY9VbSq8X10TjesVKDf571c5He5yw4nfN92axDViq15F1TR3V6R\nWfGkbfE1VFrjqMSb7Fp2HZNkYzu7m5iklGucvsq1su1j8BaylbtiJ2GLtnLULrmZZ1vaIBHOY2xL\nbtIUXfZ8K+V0Ukgcei+F3k6crH1H58h1esDYsVzTQqpC+Xr0Xs7LetxDS5KifnubWNN+K5t7urA0\nXDueQVQq9hiEELat4hCNXGnb4lH1+wVLwF2POedSLS0PZQirQP+EyW5PvdYjuJzpD738Gk+pGu9u\nP8rn5a34B7NuNEpRP2+SUOFSgN8158a72i6uy1QTLpv1q8sAEtUKp6oxQSJ5/fBtRZeJbs/6bFrH\nxXWpVIy9yzPSI2ZPNjIF8majONYkGfL/bPlTHA+ryrusiRzJ8P00pEy+k9gJO7gZRvAWsBdt5STO\n9ktCiGeA14BbgX+3u1PaIUziEI9SxialO0x6o9iMYUnWcSs0ipHtbc/ngaGnpFltiKzXUf2BpRiP\nm6fI+5yqFNKU9PmXi2m6hrXTgStQXe1Sq1ZQcy3T9zYI0XGEfOc96MCjdyjEb/o0nrmAvP9uRJyg\nXnsTnR1zurSM9+hz3Hz5JhbePMSBL58nee00CMGX9TH+Lqf5dfGAqQ3NxMzc85ZcuowvjuANYkTU\nxF8NUKFHeHbB0BsBXQ0RqWJqJuDB5SV+Nb3PlgHlQQs9SEkHA/NCy2lO+bkYd12c7O+QWJ1WRd18\nXj+ttHnjldEiy8Z3AhJFpnyEdDLpWPlnZX2Q1ggBOqUM4455tx3uvZ+F2QxuTFuZYUgjwFVbzU1W\n4NuXuxihAtr65jSFMsqaEGtLI8bc69bBdhaxpkY8p/8Viy/tOLPSd+bn1JTrNEVYGiegMyfS9yEx\n9coAanFp8pZf2fy9VlEiagWR8k4K+ef55pm9nAhZ0ECGAcqhDJ4XTZZ0hfdzgUc4vuZryZmzNigh\nZ2eh6rB18uvrFW2JVLfL+7jIMhXOieJYhO+jsjZo0g2+pMrUa7o1+m4rr5z5kyToPLDsONhD2hIZ\nLRPYMYegFJt5z46jmm92nN3AW8dW7i07Oek7zhFr3HA17zDdhCcLx1up4eCkHXuk9d2oA++2C3PK\netxnyUIVdGUdJxP37940nPVtPr1cXyKfn3Yd5iHbnM0vVajVVXtseW228IaDrrYNbByhsnJDrTRi\ncZHwG47+Rb7rep0nZ97Njy9+kcfuvJmlvJ2h1si+2T6IiwRWOtfEv5KJvPX6pm0umLZcmSicbtb4\njqtf5MsH7i8EI/PzkAd2K+FQIkqEASoqgpY2SAyIXO/D98sfbfd6OWtO1ekV9tINcLqCea7uhYut\n+B158sYMvLnv5t/PMWlycbvYg7ZyEmf7dzG1MHcDX9dav7i7UyrBVl5460Wtt/PynWSMa3VD4SxM\n3QctM7B6xEEzLbKMEfFmZtCDAUIpVH99ISP7fU+irlyFhUXSTscsNmemUVLSPVknDQRaSKKbD6JC\nDy2hqm8ifenV4rDjCPX6GQ6srJLkfQaBxznKO7nCh6fbfPnYnegXXxtanPo3nUT3eug46+OoQA4S\nvMUOaI1od0zU89BB8CTft/wEX67cxnLzJuTySvkiWhnHG4C8rkbIckc1n3+aDkW414o4ZUZxo/vG\njQ6uk0m215QScZONaObufsv+dg3v0zIIzZ5UjdwGrr+t3MdbHp/lDn6cZ3hJz7Igttc1aVb3+Q7e\n5Nd4+w7Nbh+7gUlsZee5Z+k891z+6zbUhXYd+3ZyH7uOJa/Bl+p38H2XHuW3jn7bthMHD62+gtCa\nJ1q379AM97Eb2Kvryoky28BHtdb/ZbcnMxY7mWEbrXm1mcBtOuDXCTmlUvrC1GlHEbKStaGRwmRb\ntDZqlUKgpYesVkiXV5BhgGg2EKmaKOPiOsf+iePoepX4yBQIgRxoGssR/sqA/uE6QmlWTwQMZg/S\ndJxtMA6r6nRNBt5S3gV/qN/Gj/deZvHqNM8mqcka1arE77wdXr9sggX1qmkPlqYQGdp28sYZO7ZY\nWeHj/eeRXp8vn/iQucSd7nDLjLLzGEdOtj8frJzVYNty5ZFXXTiz61J2yhztUYyokQ+JnskJHXkX\n632nDNtQLN0SNlCN7Dz3LJ3nn81/3csLSNgLtnI7KI2ES6edVnEPaenQGJ32UaWZayiYFM6446dh\nxpL+sBCRO559LqTTPg8gzy67+5AC4VCdrR3wfdDKUqJVtzsRRS7P3oowLLLZ42yow56RtSqqlwXP\nNhBjLIKoEm96ys43vXKFeVHjr/QpPsXz/Ia+n1Ux3E/WCsBNN22WRXvS/A5wdQHRaNBUA/5x5zn+\nilNcFfWhMVxmk+47mblMgDPP/AivED8zGavs+KIYVHaMjoCe8P3iHMfxSAnCNuiJbvalrJXnVrGH\n3vUb2crGPffTuOd+ANqPPbJ8Laa0RewNOzluTanH2CnnXWyVqDPBwHXhqIPr1NHdGRJAddgjQpry\nHXc7h4ZunyWlhpk8efY3cWjro11NdgFu20MRhqi8u4NrQ8AyiAhDSIt5Cz9T705iS7kWjemC1t0f\nWCaVzo8vH3fk1HsH5gBI7ryJxJf8rT7Aba9/gU8sPcXnjrzX5DbCvN2qQA6yDLsnbbZaaI2YzWxu\nkqLDgDu75/g78y/w6wc+AlGMTJVlU4owtCU67qR0nCCqFduxAq1stwadFiUKKFUwgqREJ86aLx+y\n17elSUPtEEdYszovBRttO7xtyvc2BNYmKdfZcS2gvbeunMTZ/gOt9TfyX4QQ79ZaP7WLcyrHVi/G\nRi/w7Vzk3DlznbitZMK3A62MYdam/YKo1QyNaDAwbWSCsHj4s3mqrA5F9fswGJjvVSqGOphTt8c5\nXUKYxZ8QiG6f8JUO/ftOktSlqZlWUH9lnuV3Hc7aKkjkA/einn6uGEOl6F7P7hPPQwjBQuTxGXkf\nP7jyNFNTt/HIHfeiPUla80iPziL6CaI/QEuJiGLEIEJdLWq6qzrhE0uPM8uA/8y9JG+eN4YuDKBn\nnFWZG9QwRA0GyHodPRig+gOzwHVrQ8c55yP0fPNyc+6znEK22XvOoX9rN0M+Wk9Wlnkfd9+NXsON\n7sVr6WjDhnSfxj330bjnPmDPLyBhr9jKMpSVy5QxLXKUOcNDdOIUVbaIG2V6jAY37XYUiw3HoXcX\nhjpVQ73nh+r53GlZh3dEeDInFWpNmtdQ52UgAL6PimJkrkY+Cc3bOU+ucy7CsLQXbC5emUNmteNp\nFgQdh3yhLWvVor9qkto6v8c6x6jqhB/l6/yevovzolDltQu3Skhaz5VwNdo318bvRxw68yL/gBf5\nKod5TBxb95BHazVHe4qL6jrCkjCsYp8FhIsvOz15ndZAlvqalzlthHGlM2Xb7RZ28z0PG9rKGwh7\n106OIrNRYpTWnf85Hh/AtyUSaVquUzCkb+G8+107m0MVwcVcFV1LivIdN3jnOmkunXiHA+m25jjw\nrQJ52m6P2Pm1mhvC920tdOraFukVAr9ujXKarq0XH4NcN0P2E1Q9QCP4zK3fxqfO/jWfXHyEz554\nCN0vSqF0do3iqYBobhaAcCGy7x1vpcf7Lz7Lt3Re4Ldb72NR1xBxtt7LgyxJYuvOh95NUg53Duo7\n9eyBPyS2a1t5SWnbyWmVFr3GVfEuXONzuNio69JWcS2DjjuRWN2D68pJnO2KEOIXgOcxh/A9wA/s\n6qx2Elpn2b1dcCK0Lm76detnN3GjbvKFLSsVEw2LjSiPyGv8rMq4EwWzwlnF+LJpFmnC6Y9qopPD\nrWEstEY0mxAG6GqIqgRUzi5TOQtcuoJoNNDNOkEnRR+RDGYzo3XkMOmly3YfJlMrrQK4CEPo9zkv\np/jN2vv4fl7irst/w2fveIj5gY/sRojFFdThWUg1uhbC4gpojdSae5jnu3mdl5jlt7iPWHgwGJja\n7PzYwWbIbG9I34ckQVYrWfsZnc0tixRvNZK3nsFY717JUVZfDQwphbvMjI32tZV7cdK5b2e4t84C\nEm50W7mPGwpfFDexqKt8iud4Sh/mS5ygK4J1v1NP+nyk8zwP8AL/jVt4Rhy+RrPdx3bxFrKV+3Zy\nH9cMAy/kN+/4Tj527gn++Qv/lc/PvYvnWjdtGLs61l/gYxcfJez3+I+zH2F+hP2zj72LvWgrJ3G2\nHwT+GLgl+31212bjoDFd52d+5ScAeORzT/DInzy59cF2I1s36nTYjKYjWDBJlns02riR4+SOT5Z1\ncJyvNZmZfLzRrEtGLxZhgI5iE6FNU9OPO4qMI6qGx5PvvMfsoztAJCn6jXMIrVH33mYc4KVlWDJB\nokb/JuqPdEjuvAlePUO6umprxkUYIvJ+t7Uq6tIVCAO8qSl0FDGfVPjNmQ/yvug0P/r0n7O8mvK8\nf5gzXY/F/jFSJJVqwOH505xIl3iAyyxT4Y/Enbwq59aN7o3Wbov+ANmoYRUy0zQTONKGHpQLjLh9\nMsuu0yT10CWZr7Hbj9K/R2lDZdnz9QT/tiKKsU5N+EOfeJCHvuc9+adbp+HsQaO4Dex9W1kW5Cnd\nTjk/utlqR8hqXPZ7Egw9A2poH5ZC7fa21coqaNtAGCPsk/Voaa7dy7NUQYCUhViYCVpukNl2A6xm\nstmuHQq1y3oZDAqBtDg0tmYS5PZqtYPMFdarFWQrD456pCsrfF0c4rSe5qO8wc/wJC/XT/K6l3Le\nn2GxJejPCaaiLrdevMTbLp7mzv4FXkhn+Pc8QHuEfj4pdJoi8mvhUWSgRhTILZLE0iyHMj+ZvQXW\nUF2L3sCFiNGaTOBeQ8mcXDvZmN7mYn0PHvIWcV3sJEBjZgNbOcYejhWPdL8qxZBNdPsobyhc5e57\nVIzKua8sWxHMs2OfQ+dZykri8rGsIrjvo7WTTd2glGW9OcpazRF9K7K3IgyHx3XWLZY1Oa7Tg0oL\nMd35BWQmPqk2Mc88Yy4HMWnTnKeoFRB0Ej539P281J3j29/8Kh9TX+apU/fy+twRLtTn6IVAqDnU\nXea2ziUeOPcKU0mXr1Rv49HaUVQiETK1nSvo9YsSHZUW7wRXJDJNh3uvu+wGzyto9p5nM9g6DIoW\ntNIDmbX4DUN0tnbdcXXx3cQmGJ5vdVs5ibP9T7XWj4Ch+wAf2d0pGXSWu/ziT/zKtdjVxpg0m7cR\nlc1mltNizE0EAoaodqP7XW+fusTA562wFpdBpcYQOy8UIYYdbW9mGjp91HQdGlXoDtD33Eo0V0V5\ngsbTZ3CJLerKvKGJf+VrtlIzN8Kq18M/fNBuKw/OQapMXQ+QLq8gGg0e9U7xeP0Ety18g9ujJb6T\nVeYWXsRDEeFxiTrnafIZ7uGiQ6PcDHQcoVaVpbJrp7aT/CXpULdycbSJ6Y0wfA3crPdO07m341yv\nN1YJHvmTJ+1C5eM/9tGt0XD03oxAbgM3hq0c55ROUsM4FMzZhjLpmuBUsbC0dWdAQQVXuLTw8nmO\nv5ncOmtbX+hJU0OXt9Xx/WKhA+UOvQNZr9vjUb3+hs+sjiPS5XjDuQ59ZzCw6rveoYOGiQMmOHno\nEACdToc/Tlt8Xsc80Bhwc63HB/tnqb/2FOq0oBNUuRDOci6u8ee1D9PppyjRnmj/5ZPShRquFJZC\nKTwJlYySLwRaOWycrC5eOE4BygmgkA5Tx3MM3avr6FVk89prcO3kpx/7ha0P9NayldfFTgJ0ljaw\nleux0sbVcts/a3IbZQOG2c9DwaNJsN527jycMpsyOyUCn6EWYTntfCSouGHpnN2wCKZZp9KTppUq\nGK2GCcaaZH+qvUkbJQQio7arwMNvG7sUXFqBeWNDT9em+M2D38rReIk74yXed/UljnYXqcYRqfCY\nr7a4KGf5UngrL7WOohAwiExzmeWVIYakZYNWq0OUd3tMaWoc7Ty463nWRpmSp7Wt2kiSopVcViJq\n4bRLE37xjpy4w8VewDq2+q1uKydxtp8RQvwo8BOYCOT87k7pGmEzdNicij5qAMvEp8aNa2+yrTeA\n21LrBjczOvoSyYMDrpNJZghtPWUWIKhUjKOdfU/NNOgfNgurypU+6dUFZLVqopBamwxyiQK4qFRM\nxtz3EPn/YETPPInu9U0rrX6fNOux/YI4wAscAK2ZJqJKgkLQljX6I0IIxjk2NYWTRm51khT9De01\nTYYilJZajlksisAvlMzXu5fcAEvZ37aacd6Iqn6jYA8axW3grWkr93FDoCcCHqufID4+h9Qp07KP\nDDSx9FjWdYLV8/mW13We+9gi3jq2ct9O7uO64mIww5lDt9A7WqWWDJhbWQWh6foVev2Q8Jxxzvdi\nAG8fE2APXraxzrYQ4l0YY/hJ4PPA01rrHxNC3HWtJrerGEenHKFpF9uXOMmT0IHLamV3W0gl343v\nF4JpSTLe+RwVHBqhSXoH5hCNOiJRiDhFtLvMf8tJkpogbgpmAf/D9xN+4wxeGJKurIydk6xUELPT\naCFIZ+vIvnFydb1C56YmQfsQ4dlFyITPfK24n6u8kyscZxUVVuhEGul7TCcd2oScZoonOMpZmsXc\nk8RmqawgzyTn3O2POxqAUJnDnUV3856SOkkMVczzhmvk8326TAZ3HjkVPKdH5v+vV35QVrqwnqO/\n118We3x6k+CGs5XjRNHGZbnHlRNslFEsCwaV7MP2uAfzrJS1wtvGfewK0QAFrc/3rWYDYDI0mVia\n6WVaHtzM7YrqDyijeq6LLRyHpaP2eiaLks8jy26IA3MgBVNpj3ep17jt4uMc7i2x4tdJ8AhVQivu\ncTWu8mL1GI+3JausX9s96XHoKCrsbK9fZL5UastmhO+ByxjI2QCDQZEd8qSlmAvS4XKdSUVOpZMR\nKrvHx73zJ70m1zuDfoPbyhvSTo5LkoxLmuTPxRA7ZxP7g/LAvLtZ9my4LBFXpNV0CCgo3tq5ccZl\nQSdN5OTsEznVKpgrUSFmVtpiFWMzc9uK0qSrY6jk24DXaqGyMkYJ6K4JKuokKdg0aYqYanEqnufB\nZx/lxOk+jWTAUlhHpNBI+shEcU43eaZ6E1+fl6Sj60BATk8VXR8c5qjWuthXRikfYqOW2BCjtZSV\nBjhMIR0nlqovhLDimlqIoXKcITZWPuZWSgR2EmPZIWPKHHdamXwP2sr1MttfxNTV3Ku1viqE+D8B\n3lI9Eddc8NzpKRGg2ugGmNTpuRYOUKbmKny/oLKk6ebbQAFes4GoGEMgLs4jqhXUXIuoJfAG0DqT\nUn9lETGISG49yuBAlcYLl0lef6N8wEoFkhQxiJCAatZIZ2v0jlQYTEmmuim92w9QW1jiPfoi38Gb\nXKDB4xzhTd5Gb+YEut02mevVVQ7KiLvUVX6Al+jg81l9B5dEppIphDFWoWl7Jqomq75eMGAcrFpk\nTrdPFPiBdb6FdFo5ZNdgbODF/u7UZrltP9jENVpvu73uaLM36T5bwI1pK7d772y0zXr14Y5N1eOE\nCCeuL18nOMXahWReC2gEEJVVFHbLdNaj5rkLmbx+UoSBbXmz4xohmROpen274BKVCrppmEaVEP7e\n0tPc0znL16Zu4b/NPciF6hz9RoVgycw1TGNuOvM6b++d46f1KzzDIf6CW4jEFpwCF1oXCsL9PjJ3\nBGo1dJSdj/w9BMZe5vWdvl9cO+VQJoVkXF2sRZl9Hdd2br3PJsUeYBG9BWzljWEnN1OOta7T4JRR\nuEzBSccesz+33KJoEVgwL409dYR7t7M/F/n6EaMlYdXW+4PSFn7e9NRwkC23raud8cGKLczJng+t\nkVPDth2MnUk7JghwonOJ7+ueIdCKx5u38zczDzIftEibFfwrRkm9NX+Jmxbf4D08w9+ly+e5ha9x\nyFDHbYsuzwZph1qthR4ox61y320OpdzUzzsOd76+dBxpkbXvNd/VxfZOdwcRBsW5jws9FX09Ey2j\ntrIsSLnGdu/sXPeirVzP2T4O/CPgZ4UQ/wMTLHpro6xN0jiM3Bx2oZZTzsfRy69FRnu0TUUQILNW\nV5uNeOk0hZV2Vm9i6qqTmYPUryjQELZTkgMN2rccJA0ErTMR9NfZR5IYw3JgBl2vEB2okjQ8/J4i\nqQnaJ0NmFrt8qvskVVb4Le6zzjMYPR6CwEQoGw2uxhXmwzkeXj3Ou+VVfkh9g4f1CR7mhFVll40G\nol5HVCvodtvUn3uepalv6ny4PR7TFKGNs22FT3LK+LjsYQ635jVrfWT7dyvjcK9p8XAjZKq/OfHN\nZyv3sSdwS/8yn7z8JM9P3cS/vfV76fshqrL2tR7LgDfCg7wRHuTzS9N8F6f5Kb7K7+m7OCta12Hm\n+/gmxL6d3Mf1gdZ8u36D93KBzwf383X/KKJaR4VTw9sJQVtW+bo4xNc5xAnd5vt5hfuY5w/0ncRs\n0OZwH/sYg7HOtta6DfwHACHE+4CmEOL/AG7VWv/wNZrf7qIs2zxpJHCkhlvnLaMEw1HMa+gc2ZZa\nYFVvdZxAHKO0HhZb2GBuIggLdd0siCCbDeLbjpIGkvqFAd5yH3l1kfjWowQdRXzYI5rxqayjuJsu\nLhpK0aE5VC1AJhqvr+geDgh6iqru8ZPP/BmvHznJFw4+AKsRvPhKMYBWyOkpdL0Ky23TK3G1gzc9\nzdeCA7yyMMsPqm/QIObz6S0ghFHB7HSQ1SpydsZmY/wTx1ErbXN+MmVI4fuT18ZrhU5G7ps1dLOR\nc55TK6VpP5Zfr5wGplOy+0iO79/uBnMmpfJeS2bFZrCHprJVfFPY5ysD4QAAIABJREFUyq1ikozg\nxDTeEZXeHNIJLm5A69ZJgsoojDqOhmym1oNN6WLIRgORUyOFxMtUzdOlcr1AUalYsaJJ+8aCEzxV\nuhAWmm5yR/8in1x8jN8/+kFeCw9DBF6nh5eL58zWkP1MmKwfo1smE94PG/xR/Dbu1vP8IM/xO/pu\nTotNNBRwbIgIwqHrYY/LaT8pKhXnGFRBmcx+h4x+6QYf82yVq7iMc93XY0JsNgs9iU3cCzZzgyms\nvvgsnRefzX/deoeIXcINbSfHrQtH3++ucJprr7b7/i2hiAup1qj4r53TmLLIrUAryFsLKmXEJQGC\nAIGxM3Jqrih1Ge1IkGVgRauFPzNtt9FZ1ln1+psX+9IK2cjEcd1z79r1OOZ7xascocun9QN05QFj\nS7VGvGF0LIJGw9p+tdqx75RzqsUvi3fzMf0qPySf5/9L3kFf+Ig4wiq7a21Yk9m+VLegyAshisyz\ncx+IMETkmX4osv7uefO8QtDOoaKLSmUo4y2yNK4OgqJESkiEl63ft6L1tB2MLdG9hmvPPWCuRzGJ\nQBpa68eAx4QQU8Av7+6UrjPWoyS6jksZZW0zatPbwehNKz3TviZvwaC0ofZobanU0vdtPU2+wFzP\nsIkwME5pFBcZ24NzyCjF8wXB2XmIYvR0i97RKiunPFpnU6a+epH0/MV1p68HA8TKKsw18NsDZBzQ\njDWqJvih1/+S51un+OvW/chegp6u2TnrJCnO7+KKqfNLlclYpwqimNX6NP9x8C5+OH6KZS7wCMft\nflW/D4tL2fGFaK3Mi8GTiFTZczexw71Zupl9STr6AGWBGcHGL8jcaPtBFgxxW4KNvGBdavpeWDTm\n0HuT7rMdfFPZSheTBik3G9QsGx+GnqWi3nuy8os1ds8qBxeLG6u/UDY/x7nXg2wspYytHEVumzHq\n5TmzSFarhnkDE6mY2+9nbXMOhxH/06Uv89szD3Fu0EDGWX2iJ+3xeP0EXTGLY9GPi/q/MEDHES+I\nA/yu9vgHvMiv6newKKqju94YUiCE004ot5tuINppfwYUyuSOYjNunekGqs+l2KyD7b6nbwRMYCtb\nd95H6877AFh+8pGtdYi4Rrjh7OSk9aUudXyjcTaCG5jPna4xiudryh9d/YKdgig0LXQUFbRmzzNs\nQxhO6LjHWq9BK2MoBn5RuhPFkPmmstlAdTMHcVIGpta2raCo1dBJZncaNUu1/sjlpznq9fmtynuI\n+rEpQ8wgDx0w065XzVwAr1E3rb0wjrdOU/5U38fH1av8Q17mP9UeRDQbTqu1GJ1RuFV71c5d+L7R\nI8odZSFBJcXxlfkJqrheOk2HKeWOSrmOinZittOGEOjcxgeFTRauWPD1SLa47/xroXuxzXWlEOJ2\n4OeBp4CTwLzW+ue2O62JnO0cWusVIcQPbXenm8Zu3yCbiWrnjksWObIPkivqs5Mv8rKb01W3dmpW\nbCY6jtBJJqggJSiF6naLRamQyEYN1ROlRk3k34tjdJoia1XkzDTpTBMRJQg/e5FUQnQ1wBsopk9r\nmi8tDtdqlym4Z9D9Pt78KvgeaS0gWO7z/sVX0LHHXx1+hzEaGrxuhLz1ZvT8IoQBarmN6PWzXq8C\n1e9boTJRraCBqN7i99R7+dH2l3hZzzIviky76vfNOdNZZLNes98ljtESu3gcW0u6Vdhe3fmJlsP/\n60L4RMP4soYhEbcSQTZU4XTrkVrycbheGe8JsjWrL+3dbM04XDdbuY+3PKRWfN/iE/xl817OhXPb\nem5fFzM8rE/w/bzMb+r7bywH9JsNb7HAJOzbyX3sLo4ky3wgfZNfrj5ELHygJCA6CYTgz8M7+ZHo\nSd4Tn+VJ9qam3z4ybM9WzgG/o7X+LIAQ4jkhxJ9qrZ/czqCbcrYBtNbXpKlbY7rOz/zKTwDwyOee\nsP3Xrgty2m5Gb8udpVJnLP99XIYcNqb2uNnJknGEFOBlVLzcmUpZQzu2lL4su+LNNBGtJsQJutdD\nViqkJc62jiJLf5HVinFim3W8hRV04OOfvYQ+fIBk1vSZrSwMkP0E0Y/wZqYLGuW4YxQC1ekhoouI\nRoMgTmjqiG9f/Bq/dO/3okKP2kuXUTNNRHdA/7aDVHwPsdpFeNJm6PMzowYDc776fRMo8DwW/Dpf\nrN7Bx9Q5PqPvzk6VNnNSKXqQmkBDuz1E77RZbSERoWfPw7Z7GY7SwM2EilOSXVOdOkq8buBmNCvt\nOtPj9jWqgj6q/rwe5XYD5/uhTzzIQ9/znvzXrTvBGxjF5p330cyzNU/t7WzNKN7ytnIjx2wjkaqt\nZLRhSL18w/t4vaFz8R6bzZYwkhGAEhpeZtdUp1PQuscE5lzF4HRpyQbWZLWCbBhat2q3J4r46yhC\nxwkPqnMMgpSnpk6Z7ZMURHYOvBDyrFESEM3Vsv35iMRs4588hnj1tD22L3Oc+7nKO7jKMxxa54zl\nE3GCyUpDNROJk3IkizPG/udCTopinHSYiTOUtXM+H1uitdkA906r346BaycbeevMreIt6GzDtbOT\nMGIr876+m73+4+61oXG2n1EWTiZzyMbZfXvOc1IwQywjJxtjSNnf/qH8/S6rVZtBVb3+8DOs0kJc\n1mHqec2GFUJzbaiuV+1ctRC2Ql/0Y1gwDENaTUQmaqYHkS0x2Yy2UL7O9aanrGiZ6EfoQcR3r36N\nL+hTLA80ectD/+gRANKTh4iqea9wgZbm+RRJcV6C+Q6ik7OGPP649z5+eOlhvqFuo5+V6IwqsOei\nmcjRZFbBvHK7OAyJeWptbaHw/eL9MhgMlwzkJTpBWGS8Xaq5c93XdONwe4GvkxAbi61mpzfY/qHv\neQ8PfeJB4PraSq314yMfSSz/YuvYtLN9rdBZ7vKLP/Er128C7k3otDGxmcTNZgJlieEcxZCTPcED\n4LSLKq3dyYf1vKLWJ1MmF9UqKmqPbChMLUleU5f0jCPabKB9z/y9H6Glh6qG9I5UCVcSqi9dJTl3\nATHVRNRqiIyCs16rMeFJVK+HFwaIJOXdg9N8Y+pmFhotRGoWkGK1Z5z58yuIbh/d6ZbXOmptz1dO\nb5LVKk/I43yLepM5P2VRGlpRWWsKPRiYGh/PKEwaOk72slMZvXwrRmkcVDr0srY0MZ3RK3NnYlRs\nbfSYJ1EtLwsGZerpRYa9hI2xwbh2oQJ8/Mc+uiUnWLA9us8+DHbdVm64sHR+d6liG31nU3MoaJl6\nxDHb9Li5LY8Ts1h1xrY11U7N8dgpVSrF4nB1tXSbNUG63E7FCTI01EtZrxf0QSnHts/Jy2jezxn+\nVN5tW9ugtXWwiauok8ZhXr2lSfdQtiCOwBuY89So+1QuGUpnurSMFoIv6pN8mHOTOduA8J3WYRmF\nUoShWfACOlWo/Jy4tNbRc1pGz1UpWjsLOjdIXTqZbWbjd5HV49rJTz/2C1seZ99W7gwmspWTOBNl\nOgKjfy8LArrvfbfl4VDZl6OVk6NkLm6gUXiFUviQrVROkF56Q0Est8OKddiCoFC1Xsf+Scf2EQa2\nY41u1YtgX29gAoEAUWTbcompKZP0AXTgQy1zOjtda3+3AjW/YB1LtdrhqOgyG6/wVXmXbdMlD8yS\nzhrnXoUevSNm351jHlGmleZ3IOiac1a/HFB/M7PT/YgrKz6vihnecflZHvFO2n3bZE21YmntlkXp\ndF/I1686TW3Nthk8b4HombUoGKc4bwM2pqxRx1HxjsnW7/k4YuRey/eL5+GeZbdNXT7Xdcsod0n/\n55HPPcEjn3sChODTj/5fWx5nnK1ceuorLD31lbKvHBw7lhDfD3xea/3ClieUYc8629ccayLlarh2\nd71FQv793FF2nBfhBzbSaG7kLOJUdqM6TmPZ/PK6DZttdVs8jDuszCiKMEDUq8YQRDHp4mKxMM5e\nDCIMiyhYmpr2Mr0eol5DLCxbIQtxcI7uzQ2qCxEiUiRnzpoo3OyMMbRu5MxBXqcoPK9YmPX66F6f\nd7df4XdOfAsi1YRLAyM0cekKIvCHFp/ewQOIICC9crXcIGTnVEUxkefx1fQA7/Iu89f+7ebcxUkR\nnBjtqZ23csivZxiaY8kzX5PWck/ysnb+NsmYtuVY2Qtw0kBAHj11HYCyDJH0sEJ/k9aqbRX7C8h9\n7GNinGQViaF/76SU84vM8XFe45DuckVsM6uwj93Bvq3cxz4mxrvTCzzpHUdpyTbDcUN4IryJ7+p/\nfcjZ3sceQ4mtnHnXB5h51wfWfP7Cz/+Lq2VDCCG+Dfg24Gd2Ykr7znaOEsd3Uyp+o45yiTr1limP\nIyqXajCY6PsiMP2lreLrasdQyKMIEYRGjTdXkxWBEb8QEnwftbRsnDLpIZIEEQTGWW020FIgY40c\npPhnrpJgHEbtezC/WHreRBAawTYpkNMtSE1fVdFq0uitUPE056cO4cUK0c+yy2m6JjMkGnXUbAt1\n6xH8pR7pcy+VH7xK0SrlNTnNB5KLaO8WE/GqVtBRhAw9dBSZft1RVBI8keZz23s9a+81gSM9RN3a\nAnIFXpPxdj4bF1HcMbVRJ8peQj/fcaELjWW/7uMGwUaigDudIbTjjblRJr33x4lbOlF9nTqso3XG\ntQFJpVFZAHLi486zVnGEjjPxsjAYEhbKbTOwJpB2E21eZRodRaRX5+32MlP3VScPsXS3ydx0TkgG\nc1mgMIXq1YzCngZUrM6HGV8JwWk9zUnaXGFjZ9u1y8LLhNU8zyoUCxK8A3Pm81QVGZo4GV+SU3Zv\njQpHjlOknwRlAfIbBfu28tpg0ntiXPmW+32ryTJuCMcWle3X1QEa3U8+rqv74tou9zuuoGMZpRys\nYNmG9O08gxuGVu8GIdArGUsyjtHLhmqeOixE2Wjgzc2afbQaxAdNZtuf75gMOKClQA+yrHilsvk2\ntUkydHwnxSJ/Lm9DqxjpZXONE0tnX7ivzvLbzM/JVIKoZ/ueD2m+aTbqao/GG5kN7fZRg4g3dIMD\nqkuQRMTCGxYyc/qNy1YLUQnRGdOTNLUU87HrQ5dSnqpC/CwMUXlL3bHlmdmaFQrdpWy/VszO0W0C\nEF4RiFjTK32zrMmdwnbH3QFbKYT4OPAR4J8Dx4QQN2utS9Pik2LvO9vXQr1up+EsFAo68EjNzWaP\nSyvTfzktcQzLIES2T9NCSiinRUtGl87HdTPaejBAd7vFgkilkNWL6F4PwgDqVfxOikg16WUTFBKV\nCrpeQRw5CHldD4D0kNUKKqsRp1ZDDyLkgVlDMfIkR/vzXPCayF6MGBh6jY7LaZzp4Rnat9QZTEkO\nPbqxMT6v6hxLl6Bm6gmF5xWtE5QytCml1y4A831r53/pTXTuty2spnXxgi6r184/H4dRQ7me4Zzk\n81IqehYA2u569QZ6rN/S2Mo9ci2xk3NwWSVKIzz7y7rlODlySiJxvIVWNQWl01IHm82hTWStWlDE\nYYiOfZxVXi+TSDhkFrLRbJW0Yh7KtAJpmC3cQm0XkDLRcCRjzs0v2CHO0eQEq3yVI5s7pHyR1usV\n1NJKBZG3IPN1UU/oBiI3wcYxP4+0/hpl2ox7p1oa+hZoj+6Y13stsgcew28KjLu+bjlDmbO9xiku\nUSbfClts7OdqWBxXZftxqMtjEzyuU7eJpJK7P507006bUnXpcun35FQL3cxqonsDgnPGbur+oLCD\nrWahnyEFKtflcEVgN3qGs79JrTmsVzmvqiAKxXJ98hjLd5pgZPewIJnKa5c1uputgVsJWmZ0bAVp\nLQuKns1alAnJJV3laLLMm2KkT7dWyFbLniOSpCg1ShKEl12LgSocdN8fuhb59tL3nU4ZQH+D9e4o\nU9P52daRZ++4opxg5N4UBZ299L5wE38b6U7BJnyVnQ7Sb/2rQogHgd8FngD+GmgAnwbe4s72ZjPA\nO3nRNhgvzwpbem/ZDTYuAj/pPKVTi+NGOtcRoBFBaIQqpIl0Cd9H93pDGXHZahV+Uhwb4Qu3X22+\n+0bDRNgCkAcPGCd4YZlwftG0Ocgo8rLZQFxaILl4aXgAlaK63aJeZTAw9X453bwT0RQJK30Nl+eR\n1Sp6EBnKevbS0ElienNXKgxaIZXFhMqyQK52x8uQZNeurX1qJLC6ig5D87KQwiwGlYZaFREGqJXV\njRfOk2bRyl5qZffSeveXSotbp4zqvRHcXtw7+Uzkmbb1Sh42gf06xH3sY3I0iWkTbrzhFtAm4BQr\nG2+4j+uCfVu5j31MhgoJKYJYrF3T7gTahDS2qmy+j13Hdmxlpjre3HDDTWLvO9s5yhzZMqrr6Ofb\nwYY0ClVEDl2nePT7owJU6wpvZNtap6ZEBEtrLK2y7FilMFGzKFqjUI70jDBPJoIhZ6azbZ1MsvSG\n/hfVqulpvdK2LcS8vM+g1sh6HVGvWwph6amymXRtaDedDmJ6CgYRqtNBEZPOL+CfMnUwajCwAiLC\n95FTU4hmnWCxj6r6+Ct9ktNvjj+P2bEKKU23B2WojIqMAtXrGwVNpW1/clGplFPKt4uymmpbKz+m\nfj/fZqvO8lap5RvVf+8UZT3H/gJyH9cC62ZDsjIbNws0AtkwgmKiXrdiQAAsGlVdkZejAHheoTMx\nZr/eVNMq+AJF5lcbe1dkfxUyy6TrKIJYF5oSufpwHFnFXL9bMywmTFbbipSvSlRg3j9BOzWdJMiE\njnLxnM6ENBX3XacLVpCOizyJCAN0lB2D71uFYhEnyKo5btXrbc62bfTe3Or3J82+XG/s28qdRWly\nZAwrYuIykZIyh7I13Lj9bTj+8H1oFaeHpiAKwTOVDO1jqHvCJiGC0LRIBUM7z/tMJ8mG2fHkwkW8\n2dlsSolhQALJ8Tm8bpHkkBlLRvd6yLkZ83O3Z8W+rI3NoLVeh27uCIQ1jf3WnjDMHqB5VkPW5rV3\nIrHPl2z7iOxwpl8b4HXM+HnZTjG6c15derhNjklzP2RCmEIKdFSISbo9tYfo+Y56uD2vcWx7nK9R\niS/B6PVYk0jywjXbmYy38y4sHXjCJMtO2fWtYg/ayhvH2V5TD7PLjvZ6yBYbli6cU7bXc5hgfKCg\nbPwc48YsGyNbgA0JqOE8UNk8c5Ey2agZQzmIhrLmMgxQfWM0DO06hCQhbbczhe6UtN22+xaZMVnj\n/I5z3FRKuryChzHaHe0zxcDYxkGE7mQq+56HrPimTrzbMxSdxSWk55E69MdxEJ5HXUf08VBSZgtD\nUw9OGGZtwBwqT8YE2FHl8UlQWp+4DerjejS4CQJI1wyaPWkUvymxF6jim4FL6dzOszpO+Tprlwhm\nAZS36cLzCvqkO0yvb+0gWpuSGVjTPcGt986p4jpeKajpaWoEKfN6yFQNOfe9+QbTUsBAI8K89CeF\nQebwSmGVdP2upH4hc7C7Gr9nnu3qxQ5yyVDTdbNh1YNn6j6dbmCPv/S8CmGFPmFkUSdE8ftqp6CH\n1mv2vOosmJCfVxtkEHJIVXei+7Hs/b/edpN+vtltrgX2beXOY6NrO65WOg+Ql46ztTaEG87DdeJL\nxs5L5Mwm+v9v791jJbnu+87vr/pxZ+7lzB0NZzikRJEmadkSaYmCSNmjjWxLMWMbIglEkVdxNlYQ\nGKEngbNrJl54tbHX2FUUWAhghDDAdWjF2Yc3hgNJu5b5iGnRSWQ70YicoSxZpEhJpESKzxmS87z3\nzr3dVb/9o+qcOnX61PvR1X1/H2Awt7urTp2qrvr1+b3DdEPHPErVIbIxK5lvb5cay9u3Dzgc1nCY\nvGVdt9caXJpqWYTtHSBSKGltNZYfnocgygNXdYMAgM+dD89ZKbqGQrmNAYYIMGI/zKuO5CM99xL2\nR9/dxev3Yfp6eAx/7wCXRcvXPW8E2PtaKLdXnnpxRskGgMuwg03EHRl0EeTxWKfVUNQSUcs4tfYE\nwGY6zTR+H14ckk8DL/5NMep60HQaynwgKadLrFtniuQCoQxOyelvpThuW/RUVi6Osg2kWyDb/vLT\nbrSEousBCGYXf/aCwFa8XQJdCfMioceqSjkMq6UqFDGzr6etnry9Df+s8cB5g1hYR95q1UYLRs6g\nKWCVNc8/ew44O9v9ySzwNQMzgothn9qXcRmuwkUgCELBplqVBYxgYwNQyvcF91A0CvtT24KGfR9v\noYt4ebAO8uLFYXApzEP3VlfDBbVqjzGZwNu7N/zhopG7zVhRzO/VJQBVdIISkMrAouSeEsYcNKf8\nl11clsn9roiERgpCcV6ifbgquAjgQONjvzk4j2ex1vi4QjPkycoL334CF555Qr10JPYLwu4gIA+n\neC+uwgaex/78HUrgMeMINvGyyMre0sd1ZW+V7bX1Vdx93zEAUf+1qFdlabKqKru2UVihcnGf7Fml\nLoFdyTmtv6g+tlVsIyt0OEvZIU/3SEz0VjQ3Ub0YU0KIaOBpRTeuajgGjUa6wISGw17ZGI1mQ1S8\ngQ55mVHOOdDvqWIQF2iMKXs4gk28Ol2Li7flQKMxvL17wrAaF4GP6/AaXhgdAODB7lvJ29vgnUl4\nHoi8Luo6AUaod4F+1mr7aOyZSAwXzAnlOnwvMI4ZF6woPZeWOXrHLTh6563qZfWFXd4C8hlZQObR\nmKzsI2nPkFl0yFFrotRzYshqXTiGvPiZ9P246nhgyE/P0+Gag0MHwfuixdcbZ8NuCwBgGeyU7PPN\nIpJE8EZRqOFwCN7eicM1B0FcLG00xAt7DuE9l54MI46Uh3gwgP/6mXBK11yB/U+Goe17T63CXwmv\n0+jiFIONUE57Zy+G/W0B4NBB0KVtEDOuPbOJvxh/HwaDfaEB1fztMr4HDlh7/e3fkjiKyuh/vnUp\n9lIZ49B4HPf0BcC+8T2qzaoYGbuIbiuIKSfX1mu2VMs5pX033IR9N9wEADjzteOz1m+hnKzMTD1p\nKCy8KHnPAZfsnlP0GTHWNLy9XbpCuCoWRm+9SkfQjF+5ALwY1/bhKAqIr7oc0/WoH/bEx/C5sNga\nTyZxZMx0qvtT07594VpxEMsNcy36Avbh+3AOz2M/gguhp8bbswf0vVcAAMMr13Dkz89FcxiAR5Es\nf2MDpCKFNrdmruvVuIAz2IPtKAQdRBio8zx4IOz6g3A9zZtbcai/MU8zhJyIkvJRbTfwjMLFO2GB\n4mgcUmlNo6EOTeednbhndhm5aUZszJEuZeU86K2yvXFuE/ccu6/+QK4QXdc2aWHp6r3A8Dbb40J5\ncb34hrVDf9KIxo09meUEvK7+CmiBkrr7ZCfVsECDQdgW69I2AiNEKLhwMVxQmYtbAIP9+8Pc8J1k\nkQgaDsNwlJ1JGFoTXYfBZWvh9n4AbEUCzIsXjI/jCN6LV/AAfT+8lZVsr7LKOx+NAI/C6r2+P5PL\nMuQA78Yp/Judd4JpZ2bhztNpFPqIcHE9Goa5SInqnUr5rZCnUuTHLJqv/m7IA2AYdAhQ4fzaWNDV\nYjLjfI4/cFIvVG6/67bKC7s8C+T+62/C/utlAZlFY7KyDxTJjVUROkDSgGZ3fSh7TA6gW4FxkFwk\nqZQc43jeeKQXPRiPEsf0z5wpfnzmeDG4tjYbQRSFkdPKCl5Yuxre60/jun0enkOU8x2wzhEfPPtS\nGIIJYLwzwfTyqMXOuS1tAOCVMSha+Ib1Kjy87dIr2KAVnF49DALgrcXHDzY2ZgwSSmmmlZWZvL94\nx/Bv3pnExoPpNF5oeh50RV4ipwKfmdVSNo96Dkq4KSfvffRTtcbqo7dm0VgqWVkAtR4DkKzqXdYQ\nWengpOXa4NQY/huhEdDbswJvf6ic8sF1bF0T2tCHG1OM3oiMmjsTBJHSyltbOs2GiLTxkfZdFgqI\nSJ7QaKgFBk+neBxH8LN4Cn/OV4MNZT2IUhDHf/yGVvS91VXgUJhTjrMXMD192nlK3uoqfnjyXTw+\nOYLBkSvC467uDWseAYDnhd1ugDjdKLqGbF1LtXYPlW1Dlqm/dyYIVPg7UbzWV0V+gWhtHud7K4MG\nN15bp2Hh45DFyy4r0ytaLQNl8gzs8PBE5W/LY2mOzQyd6zBTIC0o5mFhLtRyRhPNiYbDqG3V1G1x\ndHp8HIr2aBha4ZT32lCsvZWV5MNtT0XlFuo3Zm8pGg21oAkuXowXZ9E19vbtw2M4gnfiNewLLoVV\n083rbo8XhcIHG5vgnbCSuvZuG/u8B6/iFazhdVL9IB23u3E9eDKNDARW7optaFHzGA4TxSxSUfsW\n8XQHVuSEqvztmrs9XldFfJo8Dpf4Jwi7HSI8tnodfvTSt5tbADHj/RvfxGOr1zczntAOIisFoTAv\n0WW4iBHeBbfiXIWDwSZ+wH8NX8EVjY0ptEAPZWVvPduVsJXrsqG/LlzvK0+4bq8UxO9VtZ6XtUTZ\nXnPXcc0xU/J+vfEo8Zr9IBGKw8y64FqC8QjwA114Ip5DECrnhrLqrayE1WiVlTXyEg8uPxi+d3ED\nF2gFx/kq/E08g//HeycwjLzMmDVW8HSq263pqr9m3rM3wAF/A38dz+N38c7k9Uj7fozvMGEBji9E\n8jVRcQOJvjc85/kUGsKek5nWYM+xbQ+OHQlSeRzIwlBIym27J61rc8949hJG0orWfNPgporTjMYJ\nb7arcEwQMAZ7onSZ80YkjuFtKPuMBBsbuvI5gLATxB7lwQ4AP8Bj42vxno3v4F3Tl/G18VsAD3E1\n3E3DC7SxhaHy+vgBWMn60VB7QPyDl+HoS38F8ghf9a6MwxlHQ218pdHYKqjj6e0AI7qKKJkCpDzb\nvh+2cgSM/q5IRCKwGWJppwikFGqbfc/4TTQL6FWJdugbIit3DxVlRyqe+Sx0Fyps9mr23zgbRjcC\nwHgE/62RV3hnir3PRAXIiECboRzl7R14hy8P933xZe0hTzg4trd1RCIQrl3NukUA8CCux8/hG3iG\nD+AijWdCwlW6I3wfwXdfCPe10iIH+6OcbwL+Fv8V/mz/zdhZ/wHdYYGnPmgad4/QMnQ8BhNpRxgF\nQRiNqa+PIeeMtSRPtvWcdEi5qi0EhPJsEstWd3j62OhoMd8fD2f+AAAgAElEQVTw8ASJ3/qG73NF\nT2XlcinbZZRrez+lDLmKmzn2jys/evHir0hF8rT5lL3hOABPS+yT8sDp/Om0EPbJJC64piAK8wqH\nw2TuyWAQhtBw1J4mWnQyM7zxOKwoGc1DeeVpOIQfFUD7Iq7GP8TX8GP0Iv58eAPIbKFT5Hyi98bB\nDv42nsZf4GqcJiv3gzzQwPi+inznLvIK2aVtD1RTVGeU/wbbiVShgWNQ9E/YhaRV+oUdHWRFEgHl\nchMrMlOHwrWN78f51INB3PrQzFeuy/Y22DA60HCIAMAfrt6Mnzt/HKcG+/DK8EBCIWclM72BrmbL\ne1d0TiKPhzqk7Zqzr+ADF76B3z38QQRnLumQdfbj2how8sPDcSkOsTdyDJPh9sb3aMhXhqE8G6lW\nBLs1oqpETNDV4tNIu3eAbDm5QIisXEAqr+2au19Dp0RkQPQI8IbG++0qYQk5bTpGNgF6MlSqvUMH\nwatRS6u1FfhXhYrt+HtnELwaeqTNqE0OWHeGoNEozOdWiufOjlFPI5QzL9I+nOQj+Ciexv/NN2Fq\nRm3u2RMbBKdTrbQPjhzW7br4wgZobS/AjNu2nkIwGeBL6z8YKr8qV3rPijZk0vYOKKoEz8rQadYA\nUvi+Ux+kgVGo2Pf1+QQqLRNRtKlS2j3TMEn6fRoBiOou8Y7Zhm7xZWEeRWTl+WeewPlnu60FtNxh\n5Gkor7fp/eYU4ZOyKOSAZ3sVukJ9jX2c41Uh7Thl8AaAF+YB83QaGxzMz4liL/JMmH1UKMh42Nn3\nw5D08SjsF6gWYUSh4DGL46ges76v/w7Iw+/hRryHX8UHtr8dCsAiYdoGqzzB38fX8RIuw1/gzbMb\nqN7oAHTup4pSqELRCIo8yh6/yj3QVZh5GXoY7iMIfefl4Tru33sTPrZxAm+dlsgPN7h+6xX8ndN/\ngf/34A/j9dG+hmcoNI7ISkEozZ/iGpzHCj6GJ7GXJ/k7WHgc4CcvPoG3XXoFf3D50X6uo4QkOfJx\n//U34erbPoqrb/soAHRSC2i5PNtFqGNlTFgqVeN6P4xSK6osucKTXYXXXOhK5Q1Y641K1zOtsyjs\npcp+ugWU9qyEyrZvXp9IARwMQEHk3TbnaRa+mU7DgmzTKbzL1uBH1ssLNManp+/Az+JpXOedwR+O\n3o7Xi9iEmPFDeA234zt4DFfiP+Kt6VEMHBelA3lopJpCVDgot8idmoNNmpU5o1d5acwwdrsg4Jws\nnn0sZCF0QF6xSnubJu9PM8S4wnOkq4AP41oUxAGCs2Go40x6SUkPV7C5qft0M5DoVMDGM/sNOoTp\n+B342Ysn8DiO4D8Pvw9TMn6HOAAPw9fB3hEo6s062tnBT54+gRu3XsRnRjfhObwJdGkbjKggpjpm\ndJ6BUQRTtWTUIZCDQWyAZo7DHqP0IwBhlXGOfy/j+cXRPrO/oSpsP6NCmjY4Bs0ZPXtME7KSiPYC\n+DKAP2Hm/7H+iLuQIr+XWQpZWY932fuaKBFarOQRBxyncWRWHmwHnaKzsgJvX1i4cXrVm+DvDeXM\n8MIOxt98OXz/1dOJ/tFmCLou+OaHDh9dr8czImW8IM4eIcLn+G34aXwX/xh/ifvpbXgKB8P0F+UQ\nuvIwgrXIwz6JZdQV22fx4deOY9sb4t9ecxsuBYbKFEUBYeiBtqM+21vbcSpNwKFDR3nJ/ZROQFYa\nk+oEZHZ9MNeV7AcAx4XTdAoOG+tkI7ycVlb07wZPpsnuEl3LTEekWhv0cV25GMp2E8pAIzmmKQtB\nIN0rXuSYjnzgmc9MpavoeeQdP8pz1vnAkZBOLCb9YKayofZKB/GCCojyX1ZWwlDHS+diIc8MbG4l\nWzRsbyMIGLRnZaaK+kUa43fxThzll3Bs5wSexTpO8hV4HvvidgvRdThAO/gBnMF78TIIwL/DO/AC\n5Xhp1HUhD/AIxHFYZGUhpIwutuGk7n1n31d1xksLl5/nIrWHQlGoQJM/3m3fjzqaqV4YJTPrXOTE\ns0UUV6Td2QEN4zy9IuHpYE6EYbOZSqPCt8dj8M4OnsYq7h2/F7f738IvT47jpHclvh5cg9PeZQgQ\n50AOB4Qrz5/COy+9gHdf+h6+NboCv73/x7C57es2NxiP4tBD34+VbLMFYfS3np/xXVF07kCklEd/\ne2Pkpyupsa0xYYyZur2LtPuxTNHUvtHMdD8J4CuNjLQbqGr468m9lTD8FUk97MDwPnjTAQRXhJW/\nBxe2MXw5jMzxXzmFaeR08fbsAaBqTIyMdliDWJlVslAppJNpap4yE+E/4Dp8gw7hb3rfwQfxIk6M\n345vvvn7cX64N4zijNJs9l7awrWT07jlwrO4Zvt1PHLkXXhs//fD29oBRa0KeTQERfKRdiY6nYgB\nnYoDDoCdSWwgNWt5jEZJ55P6W0WaAuG2VvpmeJ5GTSWi+PfF6BIRvvb0/6RC2veshC3CovuCBknZ\nmjh2E/dBao2ktn/j2x2+CouhbC/CAs5G5aNlLei00teggDO9NsDM8e0CEqH1K/Q8cMCR9dMDgiCs\nCu5YrGirqUe6PUOCqEgEDQahou5omwOEQkO3e7FgAF/Cm3ESV+LddBo/jhdxFW3iQjDAJoYgAAdp\nGz4TnqN1PITr8B2sl7KYse+D2Lxe1mKvam613aO9S8rOeY5ebQC1hSIR3YBwAfk4gKsBvM7Mn6g/\nMUFYDDZojM+svAsHg028d+c5/LebX8V6sIU3BmuYbo0wYh8Hz23jLFbw9MqV+J3LP4CziAoDYWuu\ncxdKUF9WfgzAfwHwLgCXNTAjQVgovksH8FvjH8H3B2/g1p1X8RPf+zYA4OxoDYHn4TL/EtYubeGl\nPW/CVy/7PnzmyF/DzmCUM6rQO0TZ7og2FYgi4yplKy9EkTnuS53m8VCeAlUopkiIctQ3WxVUSHxs\neRacXm2i0CrmLPYWKuKqv3bScsqhYj0ahWGGoyF4OgFPpqDxyNmeLLhkvWd9dzvw8CiuxKPemzEY\neji4fQ57MYUPwnlewQUahx54wyJHw1G2B0l7toLQFqEME5aBolDvc+f4Do+Ly0Jep1BaU9EeeZ+3\nqYhzI+E+BwH8ATN/HgCI6EkiepCZT9YeeTdR10jTE0+Oxq5wXtb4lXE9tNEwrVCbWU/BaCNIo2HS\n2JmW5oJ8D3iiCm1UtfYNbxV/7N2Ah/fuxZinuNy/iMH2JUzh4fUDRzBRUUEXtkFrcc/WWHYalX13\nJkb4OmGmRoQOC/fiasdGJV5YlXfVeZFZgdxOUcpKLVDYUUP2+zbz8qy45lGHFFn5+te/hNef+JJr\nj0PJw9ONAN7BzP+MiN5VbzK7kCYjIvL2111uShzHSjdzdkpJG890oJjPZ0uFKIOz53RiYLCxmSi2\nyFEqCTPr4mU0iIs1EpBYX7Ef6P15smM4m5IyS8k1b3UVdNkansXleGbPGMHaHuz3t3Bg4xwwGmDL\nG+PU+kHQJPIETwN4O9GxN7bi9fjOBMGZsG84fF93gIDvJzr0qG4+AICVlUR/7GAnDgXXRGk6iM4z\n19PMRu0oH3EEgBd7xUmt59X4gwFUthFFdZn0dTJqJLk6cJSmyr4tycp501tle219FXffdwwAcPz+\nE7rZeSGKfMFNe5OVkuvRrJDK+Dy8oS2l3Nw2WpCUEnwcgCfWmEoYz+TretCl+8gLH8TREP5Zq2aA\nIbyCnUnYSsZcEHphJXIaDsMKkYMBgq3zsTDYDuDt2YPg0qXksB4Bg6gC7nSiwyP1dVD/sw9/x8dr\no/0Og8FUn5PKdaQ9+xBcvJgcZ+Y6GeGk0fmpip3sl7zmrnH1SRqF4RKGgejaV8m/LrIwrTpGgc+P\n3nELjt55q3pZvZqjawH5RLEFJAAw82PWWx4AR7jF8lJLVirKKKGu9/qmvCQMAQ0+X1mfWdVmgShy\nyKwmrtpkwVgQmwvrEqlHbEQMqWUl+wGCs2exBeDF8Rg8DT/xtiagoVLkp+DzceqODnv0jMriK57u\nNDFz+cywciCu6AuO5x4wyDNqgKgKu/D1zx15FFYnB4rLQJeBp4jR0LV/B3mLppxcW1/N2ToHxzQv\nv+l9uPym9828/9V7/+lr1lsfBnCJiD4O4P0AxkR0NzPfU29Si0VCVj5wMpaVrvvCrOlQVgHoOl3B\nzMNV6xjMOldcmGkuoQOi5VZRqoo4EOYz+6EsMdecvO3Hip/nxTIKAHaMlow7k1iBjdbMABJKK42G\niTBtZSSlLYZHhIvwcHHvYWDqAwFA2wEG5zb09qpaOkZD8OthyLu9NlSOJOVYCs9tHDmdjLnr+8mL\nDRxBoBXuYGeSyFV3dliwSRhZHPfreKxbPWIyhW7PC8Qh7tGcEobQjmlbVs6b3irbG+c2cc+x+5of\nWBcZa8AraCqDQCioAkcxL8MKP3MT580jbRHiWpTp0PUg/XP7mKaQ9kJFMNG3z5gnjaPbxVWJHQgF\nk8rli4pDgMMK5crjDSs0PeGRHgxCS1tKCDwwGwZvzg/eIDyGEuTDkdO774QZgPH9NfkDaZ5vYHlk\n5lCopAnMhcrtd91WuZqjywJ56Mb34dCNswvIv/zfZxaQybGIPgzgYWZ+qup8FpHWZKWLPniwWy6u\noo9RNeoEQdzlz6xXNkl6EHSkj+mlLdML15ifbcQEEHpc1KJ7ayv0rCgiGQnPiz30O5asVN4Qs41X\nlG5EnuldiuebKMxkeqzMa2lso1p+aaU7OkZhg3nPMeXkvY9+qtZYdbw1zPwv9DhEewBcttsUbcCS\nlXnGFvO3uUnHjFrfpK3tXApTmeOr+jF581BD+34752rjqRaBnlaE/TPpnRQ8VRTN7EgznSbrPyCW\nq2QUSAOg137s+/BUkbLpNF4fDga6PzYTgc6Hzhnv9TOxrPR9nZvNUx++SpvkIDacBqxlZCIt0pU/\n7srBNuteDAZaTwwjK40LUsZobK45zYjSaJ2duGZ6wyBpADbnmXfPVsF6/voiK9ti97X+quPBcY2j\nCmLpGycp5Wg4jKus2jewq4K5GsvlzTaPY76O2nSBOfZe22F2qr+13TPVOBdVadY387CjY9BwmGjn\nNfPQcRD2X93YALa3w6JnkSLP29uhp3sjqrLrOm+O8sX37g0rT2b1BSfP2RKMogIRtHcvaOBF/waz\nx0u79sxIDf8vsrArso3x/ZCnKqLT7HfbBFnj9WWhyiX+ZUBEHwTwQQD/pL3JCoIgzIkGZCURfQTA\njwE4SkR/p90JC4IgzIGG1pVN0lvP9gxdhyqqY6W1XsqyOhoeZh3Goz3qZh5Eigc6DdPjm9gnxYyZ\nlnOt5mico2mR0+F9KlwwCjuhgRfen1vuojp8aRschTdqD24UKs2TadQaK4A3HiG45PBae4RgczPO\nWXEdI/KqpIW5zLRIIA8weytauTyzAzQQnl0Q9v3o+lhWwzbu9So5tl3kbDfg2Cei2wH8KIBfAnAV\nEV3LzM44dKEF2rxHioT6NlnHwB6zDMpzY6QKpeZme3EYYSJKqEHPAU+nCaMiqeN4hvfHqOCra1TA\n8kYbYYcIvFn5a3pRdFcHD/CjdKDBIK5+6/L8RMfWIYw+in3v9vHTDIi2Ydwx797TkKxk5s8B+Fz9\nkZaAGmlUCfLuVfu+tJ0uaftWjqwpuG3RdrVNEcm2mRRFA281DB+mlRVgEEcZ6hpBW1uza79oXGaK\nXZoT3+3kAhI51VB/m20VJ1Otg/HmVkI+6nZao5U4FHtnx8h5j3+D9HhRXSIaDeOUGyu8X+dtG9XB\naeAl567SLc02vWXhZFRqIhI3LRwiUYOkw9oFlcdtRlY2zeIo22VoctHluqlzqk2r/s3sI3O7VCXd\nVrpMr7UL24ttKdKmV1uHipg9l9UwUUsA8igKLxlohVCFnijPsiukhf0gzI+JFGuo0MCoABxjAPIC\nBDvpXmuzgI6TwI+EaorCzBwu4nS+YXTuw+FMGwxNmkGlCmXuPWbofPk2wsmL5jRWpYnnrObuRHQL\ngH8P4ASA/wRgDcC9AETZXnTSZBqQfP4TBsw5YYdlmqjIoeEw0ZnBaTC0zpNG4/x2YVnPoZL9Zgg5\nxbnZ8AMdUqhrZSD5WJKR/+iSUzq1J+D4c7tYk1KkJ+46GGZYeqKgXda5Zb1fJqdfHSdrzD7Q46kt\nFHm/W2WMd/Z95rrvenpP6RBi8mZr/MwBGo3j9Rqg01rYT+loowwG5rNrrksNGWSm2VCUQz1TmCyS\nOcHmJvhiJLPNQsPjcZwfbkWI6r85Lh6MqHaRnu7OJJE7nixGFsk7I6xbr7UVurga6pFWzyTVWGnJ\n/Iw0z97Qw0ducZRtU+kssm0eiSJh5qLOy1e8VE5ZInzcUFoDBnhSzjKqQr/ZEibW2DP7qc8zfiDC\nftnG4s7MifMGOp8liLwwegrMcfj4cBha6myrWnQ85RVR4ds8NSpamiH2gzEQpBceo4EHwMssTkaR\npyRRbCw6Fk+nM4o1qQqMZFkV1byyvu+yynNZ7P68qjrwvL10efs1MD8CaufWRFXHpY2NIAhLSxOy\nUhAEYdnpq6zsPGebiDwiOkZEp4joh0rtXLZoSp5127SKKYp6OM3Kj2YIiaqIWDakJ+84ReZij6UK\nMCjlUuUjG4p5qCQHUci18qRHoc0UhkOy74OZwzYNQaykhx7+OFxcj6VCVVRutWE0ICJ4eywvixda\nCbVC72Xflsr7DvKcoVAcsNG2JvLkp/T6biyUrCFig0gB70zXFLHil4VL/Ntl1JKVy0CW55KD+F8f\nUN7YjOJe7Pvxv+k0lMVB2MLLW1mJ/62uhp0dVlZC4+UwbhnmrO2QlRajCDiUy8zaKKlku5rHTORA\n9E97po0COiqkkkbDuJ2Ml/Lba9YRCYzjmdcmq/pt0ZoWptHZfC9v3LR9+4bIylQalZXmfeF83sh9\n78yEixe4p+Z438WyqGAR2ZZRbWJ5Mg2jbDyK/mXItxoRiaYcDC5cgH/uPPxz55PyTrXGZQ4jNims\nCwR7HanGjFqRse+H8/Zj2cc7O+FrvRaN1t3G8aCK1SlZq/5W+2VViq+7HtMOvxQ5qv85fnf7tlbt\noaych2f7ZgBfBrBZeQQzvBpI3hhFw8OYYYdRZ2L2PtRhFFYoshq6wf6E2tOZukFOyF0BL71Wxs1W\nA2b7gYDj6rXRe3FIejgH1bYLAetK5IlesIBWphOPpdWmwhuPdYhO6nkHvm7PlXZO8IYgJp2TEi7m\nIkEWGRJ6t7hKi2wA0g0qWbR5jg2NS337DvpFfVnZN4rkN7rkuWsh2+RxmyAvvM78zbJDGM2e2RS3\nygoubcd5ztNp8nqov82OEmmK/mQnEe6d6DiRq8TGXRrCgpO2gZr1uPGYBaqqB37yd9NZCddKKyr6\nPRZJ21ow2SOyMpPisrKMcyPtN9j1eZ3vp4v1SJW6LR2j61iYsi4w+k275qyNjQVaKBLptJyEkUGv\nf5GRrhnE4d6+WccimG1XC0SGg524lkeUYqn+TvTTdqU4MieLxMOoCcKxsy++DFSvN3bR+6Pufd7E\nOHmHyRn77PNP4NzzT6qX1VvXlqBzZZuZvwIgmS9RfpDk/1nbpR2n7PHN0HHzYWSrzULDFp5UhdMl\nGExBowuhGdukeb3NXttqzMi4EFbM9sJ8bFVAJ/DDfn6RV1ptz9vbiSJBGAz04lEZKfQiT+2n2lR4\ncbEgMuefdV1c2xkL1Xhju61F4DZiNJm73TRVBFMbYeCNhrejU8viotGIrBQEYfERWZmJyEpBEAAU\nkpUH3noTDrz1JgDAa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DzNs5y5BHyUqx21d+GJca6UXByGm3N4HnY1dFVgzbUA65nyVwtt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\n8/4j//V/Se0dS0QfBvAwMz/V6PwEQRD6Q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EXHqrRNylpvZi3o2K7QfR8b18vNq8o2zDh6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\nBEEQBKFhRNkWBEEQBEEQBEEQhIb5/wGgecsrjY0IGgAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -701,17 +744,22 @@ "fig, axes = plt.subplots(2,3, figsize=(14,8))\n", "axes = axes.flatten()\n", "\n", - "cmap = sns.cubehelix_palette(start=0, rot=0.5, light=1, as_cmap=True)\n", + "#cmap = sns.cubehelix_palette(start=0, rot=0.5, light=1, as_cmap=True)\n", + "cmap = matplotlib.rcParams['image.cmap']\n", "for i, ax in enumerate(axes):\n", " hdulist = final_hdus[i]\n", " data = hdulist[0].data\n", " \n", " vmax = data.max() * 0.75\n", - " #vmax = np.ceil(vmax)\n", - " vmin = 0#np.min([0,data.min()])\n", - " ax, cb = webbpsf.display_psf(hdulist, ax=ax, title=filt_keys[i], colorbar=True,\n", + " vmin = 0\n", + " ax, cb = webbpsf.display_psf(hdulist, ax=ax, title=filt_keys[i], colorbar=True, cmap=cmap,\n", " scale='linear', vmin=vmin, vmax=vmax, imagecrop=5, return_ax=True)\n", " cb.set_label('')\n", + " \n", + " for loc in loc_list:\n", + " circle = matplotlib.patches.Circle(loc, 0.25, alpha=0.7, lw=1, \\\n", + " edgecolor='red', facecolor='none')\n", + " ax.add_artist(circle)\n", "\n", " ax.set_xlabel('Arcsec')\n", " ax.set_ylabel('Arcsec')\n", @@ -740,7 +788,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 9, "metadata": { "collapsed": true }, @@ -762,7 +810,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 10, "metadata": { "collapsed": false }, @@ -794,47 +842,62 @@ "F444W MASK335R CIRCLYOT\n", "Generating list of PSFs...\n", "Creating NIRCam reference class...\n", - "Finished.\n", + "Finished.\n" + ] + } + ], + "source": [ + "# Generate initial observations (no WFE drift)\n", + "obs_dict = obs_wfe(0, args_list, sp_sci, dist, sp_ref)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ "['Pattern', 'NGRP', 'NINT', 't_int', 't_exp', 't_acq', 'SNR', 'Well', 'eff']\n", "\n", "F200W_MASK335R_CIRCLYOT\n", - "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 51.71227840896199, 0.4956403171656694, 1.368)\n", - "(u'BRIGHT2', 9, 68, 19.24272, 1308.50496, 1381.19968, 18.246866276376803, 0.767479083320053, 0.49)\n", + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 51.71227840896199, 0.49574526641408106, 1.368)\n", + "('BRIGHT2', 9, 68, 19.24272, 1308.50496, 1382.55424, 18.246866276376803, 0.7682735751247322, 0.49)\n", "\n", "F210M_MASK335R_CIRCLYOT\n", - "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 29.63981651453916, 0.26641439871198047, 0.784)\n", - "(u'SHALLOW4', 7, 37, 36.34736, 1344.85232, 1384.4068000000002, 15.028409002100844, 0.779207892180607, 0.403)\n", + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 29.63981651453916, 0.26647081056941524, 0.784)\n", + "('SHALLOW4', 7, 37, 36.34736, 1344.85232, 1385.1438400000002, 15.028409002100844, 0.7796349334075967, 0.403)\n", "\n", "F335M_MASK335R_CIRCLYOT\n", - "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 53.77134630045492, 0.25963622517062734, 1.423)\n", - "(u'SHALLOW4', 7, 37, 36.34736, 1344.85232, 1384.4068000000002, 33.910034557317736, 0.7719926735692665, 0.911)\n", + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 53.77472957479904, 0.2597073725198328, 1.423)\n", + "('SHALLOW4', 7, 37, 36.34736, 1344.85232, 1385.1438400000002, 33.91257496504579, 0.7724658481860112, 0.911)\n", "\n", "F356W_MASK335R_CIRCLYOT\n", - "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 97.69049446180759, 0.4157611933241496, 2.585)\n", - "(u'BRIGHT2', 10, 61, 21.3808, 1304.2288, 1369.44024, 53.20216425494254, 0.7271605492862241, 1.437)\n", + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 97.6906378514116, 0.41585452634922915, 2.585)\n", + "('BRIGHT2', 10, 61, 21.3808, 1304.2288, 1370.6553599999997, 53.202267268502425, 0.7278484261657775, 1.437)\n", "\n", "F430M_MASK335R_CIRCLYOT\n", - "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 33.543140362787916, 0.07862551531090242, 0.887)\n", - "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 33.543140362787916, 0.6010781546963715, 0.887)\n", + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 33.54588968972797, 0.07865038039188246, 0.887)\n", + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 33.54588968972797, 0.6012680805039586, 0.887)\n", "\n", "F444W_MASK335R_CIRCLYOT\n", - "(u'MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.1684, 94.82952161799926, 0.2960546306719452, 2.51)\n", - "(u'SHALLOW4', 6, 43, 31.00216, 1333.09288, 1379.0616, 63.92474535198865, 0.7406426209497253, 1.721)\n" + "('MEDIUM8', 9, 15, 94.07552, 1411.1327999999999, 1427.4672, 94.82993126016308, 0.296122708792447, 2.509)\n", + "('SHALLOW4', 6, 43, 31.00216, 1333.09288, 1379.91816, 63.92519628177154, 0.7411320132696166, 1.72)\n" ] } ], "source": [ - "# Generate initial observations (no WFE drift)\n", - "obs_dict = obs_wfe(0, args_list, sp_sci, dist, sp_ref)\n", - "print('')\n", - "\n", "# Optimize each observation only once\n", "obs_optimize(obs_dict, patterns=['BRIGHT2', 'MEDIUM8', 'SHALLOW4'])" ] }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 12, "metadata": { "collapsed": false }, @@ -852,8 +915,10 @@ } ], "source": [ + "#Cycle through varying levels of WFE drift and calculate contrasts\n", "wfe_list = [0,1,2,5,10]\n", - "nsig=5\n", + "nsig = 5\n", + "roll_angle = 10\n", "\n", "contrast_all = []\n", "for i, wfe_drift in enumerate(wfe_list):\n", @@ -867,23 +932,23 @@ " for key in filt_keys:\n", " obs = obs_dict[key]\n", " # result is a tuple (distance, contrast)\n", - " result = obs.calc_contrast(roll_angle=0, nsig=nsig)\n", + " result = obs.calc_contrast(roll_angle=roll_angle, nsig=nsig)\n", " curves.append(result)\n", " contrast_all.append(curves)" ] }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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lcY4SNUR0dLTo2LGjiI6OrupQJEmqAnl5ecLGxkYkJiYKIYTYvn27GDx4sAgN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kozSJkOSTNA2gqSMoOkzTBxFaaxOkVddRtbskdtA6VAaabJe36KPqUu+QVJIuEolplC13x83yWV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\nxo0bJ63btGnTGV3oD3/4A9deey11dXWEw2Hc7vwwJI/HQ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C7Hasl97S2v3J6bWp7XW57n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\nlIap7uUAAAAASUVORK5CYII=\n", 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LJTkdL2fPnuX555/n2muvZdeuXYwYMcKr3vuakpJCYmIiDz74oGtS9ZKoDxRJ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/Z9/2gFAjoTEBhMZYCI6yEBRpITjSgjXYIG+jkyRJ8qPTPonPyMgQ5513HgALFixgwYIFI9yi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\nChUYN26c6dGxY0ciIyOzXfbSSy9l2d+8efNwdHTk9ddf5+OPP2bQoEH88ss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Y0/WJMTEx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4bf6M9bF89ijWL6vunZtlVKUf7jsfR5qS/jy5ShonMZQOFsV47PJn+Zr53sPn36cO7cOYxG\nI+fOncv3DjzI8D0hhBD/yUveL+4538KguN7gDRx0DKF/z0cpRf/a/Tl9/TTbLmzLdh3rGjWo+NkM\nhpUti7Uh89clGxsbBvZ6hwO/h7Lko10c23oRY0rua9YUxsl7OXEvhBAPjxwL2yml/LTW65RSY+9Y\n9KTW+mmzNq5Ua2BG+sX5SqnHgHNa6wSl1OtAI631gDvWGQ2U01oPS5ueCKC1/jBjO09PT+3i4pJl\nnxkq+5ktKdmI3+xtvBn3BVft9vGZsyNz287lSfcns22vk5O5OGIkcX/+id3749h4yp3kW0aeeac+\nZd3t7mvfRUkK6QghRPEwb9485s2bl2X+gQMHQrXWXoURQ17zfkHmfMh73k+8dZtTk5tSwTIel9HH\nuK00XVZ1wa2UG4s7Lc5xvZsnTvDVc88xIziYiNu3qeThwaeffkqfPn24fC6WnStPc+nUdZzK29Ks\nRxW86pS9ZyxFQYrmCiFE8ZHXvG95l2WNgXVAA2B1hvnX7zNGE611UIbJv4F3s2kWCVTJMG0PnL6z\nkYuLC3mtTp+uhKWBKT3q8tLXL7LR8l9WpsD0vVNp6tYUKwurLO2VpSUVp0/jwq1bxE0dR5uPprDx\naFnWzDrEM+80oKx76XyJq6BNmjSJQYMGZTozXxDX3gshhLi7nDqiSqnoQgwjX/N+fuZ8yHvety1p\nxZlqA6l38j2i9v6CS9M+9HusH1P2TuFQ5CHqu9bPdj3rGjV4e8cOnhv9AfEbN2LXsSNuz3QDoJyX\nPd2GN+Ds4Wh2/XqGwLlHqNWyAk8+Xw0LK3NqBxceDw+PbE/cF0TRXCGEEHeX17x/t+H0H6c9Haq1\nXpz+AIblKtLUoDKOU68KnEmbb1BKpWeRP4FGSqn06+qaAlkrz+Szhh5OPNesJq/HDeTd6GjOxYXx\n04mfcmyvSpSg4hefU6pZM+InfcDTDWOxsDKwZtY/RF+IL+hw80VhXXsvhBCi+MvvvF8cc36LLn05\noyuQsuUzMKbwbJVncSzpyHfHvrvrehb29rjPmY3ryBHE/fUX5557jlunU881KKXwqe/CC2Ob0LCD\nJ8e3XWLVZweJu3qzoA4jVwqraK4QQoiCZ85p4q5KqSeUUm2UUocAc4fStwL6Am5KqQ+VUjZAslLq\nC6XUGKAP8Hpa87pAIIDW+gIwA5illPoMWKC1PnV/h5U7I9tX57Jjfc4nd6Zl4g1mH/icrRe25tje\nULIk7nPnYNuwIXHj36VNtUupHfnPH6yOfEFfey+EEOKBct95/0HJ+a4OtuzyGEL5m2e4uH42tla2\n9K7Rm83nN3Pm+pm7rquUosyrr+KxaBEpcXGce6E38Tt2mJZbWBho+mxlOg2uw7WIBJZ9uo8LJ64W\n1KHcNzlxL4QQD48cr4k3NVDqU631B0qpv4E3gZfTKsgWKV9fX51fw+kz2noyigELd7KuzCeMdUwg\nuEQJxjefwDNVnslxnZT4BC6OGE7Clq1YvTiQ7YlNSEnWdHunAWUqPhhD68V/li5dypgxYwgLC8PD\nw4NJkybJlxwhRJFQSh1Iv8a8EPf5UOf96wm3ODGjPbX1SQxv7edWKVvar2hPB68OTGwx0axt3A4P\n5/yQ17h1+jTlx47FqVfmAv7XIhL4/dtjXI9I4IlulWnQ3oP/BhsIIYQQ2TM375vzS3yMUsoNuKm1\nPg4U5vV5he7Jai50bejFoGtv8dUNexrfSOTDHR+y6OjCHNexKF2KSl99hXO/l7j903wev7YagwFW\nz/qHKxcfjF/kRSq5BY8QQjzced+xVElKdv0MK53EiR/exsnaie5VuxN4NpCIhAiztmHl5obn0qWU\nat6MiI8/5vLUaeiUFNNyp/Kl6Pl+I3wauLLr1zP8/s1RbibcLqhDEkII8YgxpxPvTuotX75VSjUn\ntfBNkYuJiTEVBAgICMjXbX/kV5ME2woMME5kpmMLOsYnMPPgLGbsnpTt/WQBlIUF5UaPpvy4j2H7\nH/ienI9BaVbNOMj548VnOJ24O7kFjxCiqAUEBGQseONQBCE89Hm/QQNfDrr3o2HMenZtXE2/x/qB\nho92fMTtFPM62+kn8J369OHqokVcGPo2xgz5o4S1JR0GPkbznlUIPXaFnz/Zy8Xga3mKW+S/pUuX\n4uXlhcFgwMvLS07aCyEKXW7y/j2H0wMopRy11teVUg5ASa11ZN5CzbuCGk6fblNwJIN/PEAF+5Is\nb3iU+f9+zv/Zl8a/QkvGt/0CK0PWqvXpEnbu5MLbw7hZyoWgZu9x/bqRJ3tVpXYr9wKLV+QPuQWP\nEKI4KYrh9Gn7fejz/u2bCVyZ1pAEowUl39zJ/uub+WjHR3T27szklpMxKPOry1/9cQmXJ0/GukYN\nKn23AEsnp0zLI0NjWb/wONcjE2nYwZMm/t5YWBSv6vWPovTRd3fepUdqBQghikq+DadPqxjrrZR6\nEqgHPBJlTJ+q7sr/DXyc2FsptNtZk26Nv+bNhGQCLm2j/4ounL9+Nsd1SzVrhtcvP1OqRDJ1Akfg\nZhfPlv87ybZfTmJMkY5gcZbTrXbkFjxCiEfFo5L3raxLYeg8jcpcZPP34/D3eYa3G77Nb2d/Y9aB\nWfe1Lee+/8P9q7ncOnOG8wNeJSUuLtNyV097nv+gMbWauXHwj1BWTTvA9cjEHLYmCouMvhNCPKjM\nOQ0cAHwCvJL2aFCgERUjjTyd+fX1ZjjblqBbgMarwU9M02U5E3+RHqu7snLrOHQOv86W9PHBe8Vy\nnFo1p/qa9/ExnuDIpgsEfnWUpBvJhXwkwlxyCx4hhHh08r6r7zNcKt+G7nE/sfj37QyoPYDeNXrz\nfdD3LA5afF/bsmvdGvfZX3Lz1CnODx6SaWg9gFVJC57qW5OOg2oTE3WDZZP2sX35KaIvxOWwRVHQ\nwsLC7mu+EEIUF2YVttNa+2mtX9FavwIMLOigihPPMqVY9Xoz6ns4MnjNJUI85rGy4WjqpijGnV3J\n0B8eJzrk72zXtbC3p+IXn+M2bizeu7+l5qW1nD9+hZXTD3D6QCTJSSnZrieKjtyCRwghHq28X+GF\nL7A0QMU949kcHMX7jd+nnWc7ZuyfwW8hv93Xtko/+SQVp0/jxqFDXHhrKMakpCxtKjd0pdeHTfB4\nrAxHN1/gl4n7+GXSXg5vPE9ibNb2ouDI6DshxIPKnFvMvQMEaK1Pp02/rLX+vhBiu6uqVavqp556\nCgB/f3/8/f0LdH+3klN4f8URVh+6RKfa5ZngV5U/d49mVsQWShuNfGxbnTZPT4eyVbJd/2ZwMBff\nGU7ENSuCGw3hRnIJrKwt8KnvQrXG5XCv4YRBro8TQohHXkBAgKlw2/z5809rrasW5v4fxbx/a9MM\nSm75hA9uD8Cp5UBeb+PFm3+/zqGoQ3zV9iuaVmh6X9u7vnIV4WPGYNfuaSrOmoWytMy23Y34JE7t\niyR4dziRoXEYDAr3mk5UrO5EhaqOuHjYybXzBUiuiRdCFAe5yfvmdOLjgKj0ScBea10mj7HmWUEX\ntsuO1ppvt4Yw86+T2FlbMunZ2lR1jWL0hjf49/Z1nk5I5D3Xlri1/jDbzrwxMZGISZO4vvJXrjlW\nJbp6Oy6Xqs5towU2pa0o5+OAMUWTkmwk5baRlGQjxhQjBgsDliUMWJWwwLKEBZYlDNiULkGFqo5U\nqOaIdamci+wJIYR4cBXRfeIfvbyfnETKj92xCN1GQMoTLC8/gg+fr8/7OwdzIe4Cg+sNpl+tflhZ\nmJ9vr/64hMuTJuHwTFfcJk9GGe7eGb9yKZ7gXRGcPRLN9cupnUrLkha4VXagQhVHPB5zxsXDTu43\nn8+WLl3KmDFjCAsLw8PDg0mTJkkHXghRZMzN++Z04kdqrWdkmO6ptV6RDzHmSVF04tMFR8QxYvkh\njl2MpWu9CnzoV421JxcwL2gRpCQzKCaWfh4dsWr1PpSpnGX9G8eCSNi2lfgdO0g4fIwrDtW57PY4\nNxwrYVBgYaGxMIDBQmFhaUCVtkeXdiBFG0hOSuF2kpHEmFskJxlRClw87KhY3Qn3Gk64VXbEqqRF\nEbwqQggh8lsRdeIfzbxvTIHtszBumkyE0ZEPDW/h160DW69+y8awjXjZe/HB4x/c16/y0d98S9Tn\nn+PwzDOU/3gshjtqruQkIeYW4adjuHTyGpdOX+fKxQQASjmWxLtuWbzrlaVidScsLOVXeiGEeJjk\nWyc+bWNlgfLAOa11fD7El2dF2YkHuJ1i5JvNZ/jy71M42JTg02drU8dTM3XXBDZe2o7X7WTGXLnO\nE4/1hnbjoaRdtttJiY8nce9eErZv59bZs+jEGxgTEzHeuJH6iItDJyWBUljXrk2pFs0p3aIFJR6r\nQ+SFRC6cuMbF4GtEhMRgTNEYLBTlfRxMnfpyXvaS5IUQ4gFVhLeYe3Tz/oUD3F4+AENMKF8ldyWm\nyQia1bvGjANTOR93ng5eHRjpO5Lypcrfc1Naa6LnfkX03LmU8PCgwrSp2NSrd98h3YhPIvTYFc4e\njiYs6ArJSUasrC3wfKwM3vXK4lm7DCVtZVSeEEI86PLzl/j/AWOAo8BPwGNa6yIv1V3Unfh0xy/F\nMmL5Yf4Nj6VtDVc+9KvFhZsHmbx7IucTLtEpPoFRt0vh3HU2+LS+7+3rlBRuHj1K/PYdJGzfzo0j\nR8BoxMLBAYcePXB6odf/s3fncXbdd2H3P7+z3f3OqhlptIx2S5YteYsTL4ljgpsEcCkklCYUGtoi\nHtqnD3l4IAVKIZR0Ye1CaV9V4HlCaQuhhJCYQAjYCbbjNTaWJS/aNaPRjGafufs92/f541yNxlqs\nkTSjGcnft1+/17n33LP87pmRv/P7nd/5/vA2bCBoRowcm2HozWmG3pxm/FQZ5NxQvFUbCnSvy9O9\nLk9bTxbL0uF4Sim10i3TnXiN+80K0Z99Cnv//+RAvJE/zn+cj3z8Ezw9+UV++8BvYxmLH77th/mB\nnT9A0Ste9nDV519g+Gd+mnB0jO4f3Uv3j/0Yxr26RnfoRwy9Oc2J/eOcODBJveRjWYa+7e1s2tPN\npj2rKHSmr+rYSimlltdiNuJ/VUR+yhjzz0Xkl40xPycin1m0ml6lldKIB/DDmM89c4L/9PhRmmHE\nP3xgEz/y0Hr+95HfY9+r/418FPHTExN8x47vx/ytX7rkXfmFiGZnqT77HKU/+zPKjz8OcUzuvQ/S\n8bGPkX/f+zB2MpS+UQ0YPjzD0KFpho/MMD1SJY6Tn7XjWnSuzdPbX6Bve5I8J1v0FuVaKKWUWjzL\n1IjXuH/Wa39C/Ss/S6Z2mgHpZWTHD9P3yPfyGwf+K48PPk7OzfGxHR/jB2/9QTrTnW97qKhcZvQz\n/5rZL32J9K5d9P3KL5PacuEjd1dCYmH0ZClp0O+fYPpM8ix9W0+GVesLSQf++jyr1hfIFDTOK6XU\nSreYjfifE5HPGGM+JSK/Yoz5BRH5xUWr6VW63tnpF2Ks3OBXv3qI//3SEN35FJ/60C3csbnBLz7z\n87w6eZD31er8Sz/D6kf/M2x+6JrPF4yOMvO//4iZP/xDwrEx3L4+Co88QmbPbtK7d+OuXTuXACcK\nYqbOVJkcqjAxVGFiqMzoyTJhM5nmrmN1lr7tHazd3s6GXV2kMhfPpKuUUmpprYDs9Br354tCZv/m\ni4z/5a+ztfkGVZOHez7B0O0f4rMnvsTXTn6NlJ3io9s/yid2fYLeXO/bHq70F1/jzC/8AnGtRvbd\n7ya961Yyt91G+rbbcHp7rylx3cxojRP7JzhzfJbxU2XKk425z/IdKXr6i/RsLNC7qY2e/gJeWmO9\nUkott6XKTv+bgAusAY4AIiI/de3VvTYr6U78+fafmuEXH3uNlwdn2NVX5Cc/uI1T4df4zZf/I3bk\n8xOTU3xkzfuwH/5pWHPlz8adT4KA8hNfZ+bzf0DtpZeRZhMAu7OTzO23k961C2d1L05XF3ZnJ053\nN05nJ5LOMD5YZvjwDKcPzzBybIagEWE5hv5dXWy9p4eNt3drkFdKqWWyTHfiNe5fhIjw1a8+hnnu\nP/OIeQFjbKzbvpfju7+H3xn9Jl85/hUsY/H9t3w/P7L7R972znw4Ps74f/kv1F/+G5pHj0KUdKjb\n3d2kd+zA27Aed9163PXr8NYnr+187orr3KgGTJwqM36qwvhgmdGTJUrj9eRDA51rcqze0kb/ri7W\n7ejQeK+UUstsMe/E28A/AnYD+4HfEZF4ARVYDXwG2CMi72qt+wowPwrdDqwVkcZ5+54ETrbenhaR\nC+b6WO5gfjkiwpdeGebXvnaIoek679ncySceKvJHJ36N50e/xfow4h/MzPLdax4k/f6fgb47Fue8\nQUDj8GEar75Kff+r1A8cwD927KLb2u3tpG65hfSOW0jdsgNv+3ZmnF6OvzrN0ZdGqc76OK5F/+3d\nbHtXD/27unA8zXyvlFLXyzI14q847i91zIeVE/ePjlX4d//rq9w38Uf8gPsN0lKH/gcZuvNj7Ksc\n4kvHv0zaTvOJXZ/gh3b9EDn37RvfcaNB8803qR98jcbBgzQPH8Y/fZp4dvYt29mdnUmjfl7j3uvv\nJ71zJ1Zu4Q38RiVgdKDE6ImkzHXg24a+be3039bFhl1ddKzO6nR2Sil1nS1qdvrWATsARGR6gdt/\nFGgCv3C2IsaY7xeRz7debwb+uYj86EX2/bSIfPrtjr9Sgvnl+GHM778wyG8+cYSJis8jO3t47x0j\n/Png/+Dg1Bt0RjEfK5X4e6vupf2+fwZr74FUflHrEPs+0eQk4eQU0VRrOTmBPzBI49AhmocPI43W\n31SOQ/rWW8ncdTeVjXdzqrGKE6/NUi8HuCmbTXu62XZPL+tv7dSs90optcSWKzt969wLjvtLHfNh\nZcX9IIrZ9+Rxfuev9vMD3jf4sfTXyNbPQOcWjr/rh/jN+gn+6tQTdKY72bt7L9+3/fvw7Ct7Jj2a\nncU/NUQwdAr/1CmCuddDBMPDc3fvsSxS27aR2b2bzJ7dZPbswduy5bLz0s+dJ4w5c2yWgYOTDLw2\nydRwMp1d19ocO2cIB3cAACAASURBVO/vY/u9vfo8vVJKXSfX3Ig3xvxboE1E/okx5oPAHwN1kiD8\nOwusxPuBX7tYRYwx/56kd//gRT57HPgLoAD8uYg8c/42KymYL0S1GfL/Pn2CfU8ep9wMubWvwPb+\ncUblMQ7OvkQmFh6s1+mIYgrpTvLFtRQ7NpPrvgWKawkRwjgkkoggDnAtl/5iPxuLG+nJ9lxTb7lE\nEf7AIM1Db9J4/XVqL/8NjVdfRYIAAGfrVmp7HmG08w4GT0OzFpLKOmy+YxUbd3ez7pYOPH2GXiml\nFt31bMRfa9xfypgPKzPuHx0r81N/9CoHBif4yfWH+Efmy7hjB6C9nwN3f5z/UD3EC6Pfoj3VzkPr\nHuIDGz7AfX33kXauLXu8hCHBmTP4x44lo+5eTUpcKgFgd3WRf/j9FL7tA+Tuvw8rvfDzlSbrnHx1\nkkPPjTA2UMayDRtv72bn/WvYsKsTy9YOfKWUWiqL0Yj/XeCHRSQ2xjwJ/CfgT4DfFpFPLLAS7+ci\nAd0YUwQ+JyLfe4n97hWRF4wxWeBl4LtE5Oj8bVZiMF+IqarP778wyJOHx3l5cJogElLZMfrWPU3s\nHCaQGnXxCa+gTZ51skmDvm0ju7p28a7V7+KWjluwrasf+h43mzQOHKD2rZeovfQStRdfRBoNTHcP\ntQc/wljnHgaHSYbgWYbezUU23NrJ+lu7WLWhoFPYKaXUIrjOjfhrivtLGfNh5cb9KBb+v2+e4Ne+\ndgjHMvz89lP8ndnfwxvbj7Rt4Lk7v5cvmTpPnn6aclAm42R4cO2DPLz+YbZ1bKM320t7qv2ah65L\nHOOfHKD+yitUn36KypNPEVcqmEyG3AP3U/i2D5B/+P04HR0LPubk6QpvPjvCoefPUC8HZNs8bn2w\nj10PriXfkbqm+iqllLrQYjTif0FEftEY0wW8AfSKiFxJltq3CeifBI6KyJ8u4Bh/QNIz/7vz1/f3\n98uqVasu2H7v3r3s3bt3IdVbdtVmyAsnp3j6yARPH5ngyFiZZBY4AROw1j7FDvsY26zT7HJG2C5D\ndEoJR6BpDEfzqxhs72Uwm+eEBSeiCiPNZNRjwS1wV+9dvGv1u7in9x62d2zHta9uTlqAuFaj8uRT\nlP7iq1S+8ddIvY7p7MZ/+PuY7b+XkXGL8VMVAFI5h/U7Oll/ayfrd3bqfLVKKXUZ+/btY9++fRes\nf+mllwZEZOP1qMO1xv2ljPmw8uP+yYkqv/q1Q3z14BlEYn5i4yCfCD5PfuIVcHMEa+/kxVX9PG4F\nfL10hPHG5Ny+nuXRk+2hN9dLX66Pze2b2dy2mS3tW1iXX3dVnfLi+1RfeJHKE49TfuLrhGfOgGWR\nuetOCt/2AQof+Da8/v4FHSuKYgYPTvLa08MMHJzEGMPmPd3c9v51rN1+7R0QSin1TnOtcf/tGvG/\nJSL/1BjzfwN3isgPtdb/uoj8Pwup3MUCujHGAr4CfIe0Tt5at05EBo0xHwBcEflq67NvAZ8Ukafn\nH3ul9shfizgWZuoBU1W/VZpMVHzGSg3OlBqMzNQJZkfoLL9Jf3CSzWaYLdYw26xhCiRzw47aNi+2\ndfGttlW8ZMecjJJn2zzLY0fnDnZ17+K27tu4res2NrZtxDJXPiwurtepPPUU5a9+lfLjTyDNJqlt\n20h910cob72f06cCBt+YojbrA8n0dRtu7aJvezu9G4vk2rX3XimlFuI634m/pri/lDEfbpy4PzxT\n578/O8DvvzDIbN3n7686zvflD7C2epDO8iEsiYiBAx39nM4UGXNsxmzDmCWMmZDT4jMWn8v951ku\nGwsb6G/fzIbCBjYUN7C+sJ4NhQ2syq5aUBwXERqvvZ406B9/guahQ8mxt26Za9Cnb799Qc/Rz47X\nee3J07z+zDDNakjH6iy73ruW7e/uJZPXZ+eVUupaLMad+B8Ffqn19iERecMY89tA56WGxJ23/0PA\nDwEfAv4r8OsiUjfG/B2S4P2f5217B/B7InK7MeZ24NPAS0AfMCwi/+b8498owXypTFV9Xhue5eDp\nEgeHZjg9PEh65ii3mFPcbg9wV+o0G8IBpqyIl9MpXktnOJgr8pot1EmSDLd7Re7re4D7+u7j/r77\nLzu37cVEpRKlP/szZr74RRr7XwXbJv/e95L/9kcIbn03w8MRp16f4vSRGaIgOW+uzaNnYzEpGwrk\nO9Nkix6prKO9+UopNc91bsRfddxf6pgPN17cr/sRX/yb03zumRMcHk1GqqVpstsc5y7rCLut4xSp\nkjE+GXwyNMgYnyI1YsvnuOdy3E3KMc9l0HUYchzCeXHSxZDHJWelyFkZMnaOrFNkQ9etPLLj29m9\navdFn7/3h4aoPPEE5cefoPatb0EU4axaRf7hhyl84NvIvuc9WKm373AP/YijL41x4BtDybPzjmHT\n7lXsfGAN63d26mN1Sil1FRYlO70xpgA0RcRvve8HZkVkZtFqepVutGB+PczWAl48OcWzxyd55tgk\nh0em2WxGuMM9xYOFM9xmD7K6eYyReJaDKY8X0ymeyWaZaCWp2ep1cH/Xbdy19gH29H+A7vzqKzp/\n8+hRZv/kT5j9069cMGwv89D7KZlORk+WGDtZYmygzMxo7S37W44hW/TIFlPJss1LloWzr1PkO1Lk\n2jxNrKOUeke43tnpNe4vjWYYUW6ElBshlUZIuRFQboY0wxh/rkT4UUypFjA2OUFt8jTB7Aip+jir\nzDSdpkwbZcSdxXcrVLwGJdenaYXUbChZ1lwZdmzEGGwxbMhs4f7+9/K+9e/h3jX34lhvTUQbzcxQ\nefJJyo8/QfWpp4hrNaxslsIjj9D+0Y+Queeey3awTwxVePOZ5Nn5RjUg35Fix31r2Hp3D519Oe2g\nV0qpBVr0KeZWmhs5mF8vU1Wf549P8vyJKfYPzfD6cIlmGNPNLHenh7i/MM4t7gihGeQNGeV5L+bl\ndIqgFWzXxobdThu7Cxu5tWcPfesfYNWae7Cdt3+2/pLD9jZtIvfgg+QffIDsvfcSiMPEUIXqbJPa\nrE+tdGGpl30471fUGMi1pyh0psl3pMh3pi94rXf1lVI3g+WcYm6leafG/UYQMTRdp+5HRCJEsRCL\nEMdCLGAZsGMfL5jFbU7jNqeZPPoNhkb/kgF7ipfSKQ6mUsQG2uxOPr7rY/zdHR+lO9N9wbniZpPa\n889T/su/pPRnf05creL199P2kY/Q9t3fjdvb87Z1jYKYE69O8MYzI5x6fRIRKK7KsOWOVWy+cxW9\nG4sYvUOvlFKXpI14dYEgijk8WubVoVleHZrh8GiFkxNVJqvJs+tFKmyyT7G5/ThedpApd5zjTo2x\nefl0HBF6cVjjtdNXWMeWnj3sWPcAO7t20pG+eMbbs8P2Kk8+lWS5bzYxrkvmnrvJP/ggmTvvIr3r\n1osO3YujmHolSBr1sz6V6QaV6SblqQaVqQbl6SaV6QZx+NbfYydlUzjbqG8t8x1pCp0p2nqy5NtT\n+oeEUmrF00b8ORr3r1w0eYKR5/+I5ptf5kR4lM8X8jyXTWNh80j/B/nBXR9nd/fui3Z6x7Uapb/4\nGrNf+EIy5L71uFz7Rz9C/qGHMO7bd+jXSj4n9o9z/JVxht6cJo6EXJtH/+3drL2lnbXbOjRHjlJK\nneemb8Rv27ZNHn74YQAeffRRHn300WWu0Y1rth5wcqLKyckqx8eT5YmJpJQbIY4zydr066xJnaQr\nPQrONCWrzrBjMeacG5a32s6wM9/PrjX38J7NH+K2rtsuyKgbNxrUvvUS1aefpvrNp2keac0i5Lqk\nd+wgs3s3mTv2kN65E3ftWqxM5rL1l1iolX0q082kYT/VoDKVNO7LrYZ+veS/ZR/btWhblaG9N0t7\nT4bOvjw9/QXae7LauFdKLavHHnuMxx57DIDPfvazR0Vk2zJXaUXQuH9tZPI4w1/9Vaonv8gXCmm+\nUCjStITNbdv4rs0f5oMbP8iG4oaL7uufPMnMF/6Y2T/5E8LxceyuLtq++7tp/+hHSG3efNlzN2sB\nJw9MzjXo/XoIQHtvlr7t7azd3k5Pf5G27ozGYKXUO87VxP0rbsQbYx4Wka9fXRUXj/bILz0RYarq\nzzXoT0ycbeDXGJqYZX04wC3OIbrTh3GyI0x6Fd70XE66DmIMReNwX8etPLD1u3ig/wP0ZC8chheO\nj1Pfv5/6/leT5cGDSO3cs/J2VxfuurV4a9fhrl2L3d6Glc1i5XJJOfv6vHXGOe+ZvyCmMtOgNNlg\ndqzOzFiN2bE6s2M1ZsfrxFHy78DLOPT0F+jZWKR3Y5HVm9vIFjXbrlJqeayEO/Ea928ylXHO/NV/\nxDrwOb6eFX4/38WxdBIDt7fv4MObP8gH+z/I+uL6C3aVMKTy1FPMfOELVL7x1xCGZO68k+KHP0Tu\nvvvwtm697KNscSxMDlUYOjTN8OFpho/M4DciALy0Tff6AqvWF+jekKdrbZ627gxexnnbYyql1M1i\n0e7EG2N2Az8HdAMG2CAiWxalltdAg/nyEhHOlBocHq1w6EyJQ2cqHDsziTX2BreYA3Tm9zOZG+f5\njMeEk9yN7zN5drXv4N7N38adffeytX3rBXfqJQxpHj1K88hRgtNDBKdP4w8NEQydJhgZgTBcUP1M\nKnXRRr5dLOJt3UJ6x07SO27BWbMGiYXpM7Uk6d5AmbGTJSaHKsRx8m+jY3WWNVvb6duWFJ33Xil1\nvSxHI17j/jtEs8LEU58levn3iZtH+Vouy5dz7RxOJ43w1dk13NV7J3tW7WFPzx62d2zHtc4NoQ8n\nJpj90peZ+eIf4x89BoC9qpvcffeRu+9+cu++F2fNmgU36scHy0k5VWZyqELYmtEGIJVzaOvOUOjK\nUOxOHo/LtXvk2lPk2lJk2zxsTXirlLoJLGYj/neB/wB8P/A7wI+IyKcWpZbXQIP5yhTFwsBklUNn\nyhwZniQYeA575q+oOa8znK7xatpj2k4a7imxWGevoSfVS092FX2FNfR3rGdj5wY6cz24loNnOXjG\nwTU2lgjSaBBVKkitRlStzi3jao241irVKnG9TtwIiJsRcb2RrKvViKamCIaG5uprtbWR3r6d9O7b\nyd17L5m778HO5wj9iPFTFUaOzjB8dIaRo7Nzw//ynamkQd9q2Lf3ZjWJnlJqSSxTI17j/juMTJ9k\n+Lk/Jnzty1iNg3wjm+a5VI5X0mlKTtKYdk2K7R072dNzKzs6d7Cjcwdb2rfg2R7B6dNUn3uO6jPP\nUn32WaKpKQCsbBZ3Yz9e/9myMVlu7Mfu6Lhk7IyjmJnROlMjVUoT9aRMNihN1ClPNuZGz80xkC14\ntPWcfUwuKW29Gdp7stiONvCVUjeGxWzE/6SI/Jox5mdE5N8aY35JRP7lotX0Kmkwv7E0gojjp04z\n+cbTTJx+nPHaq4zYkxzyHM44NpO2TXyZhrAtwtkt5pYCppW+/vzP3rrOYIzBYGjzLTZN2vSPW6wb\ngzWjIT3DTexIEMvC7NxK8T330/aeB8jedSdWLkccC1PDFYaPzDB8ZJbhozNzz9lnCi5rtrazenMb\nvRuLrNpQwE29dYSBUkpdjWVqxGvcfweLKxMMPPdFwmN/TefEizRlnP2pFM+n8ryYKnDai4ispGFv\nsFmd6WdX9w7u7N3Fjs4dbG/fRnpglNpLL+GfHMAfOIk/MEAwdBqiaO48VqEwr3GfNOzPvrbb2y9Z\nP4mFeiWgOtOkOttMljNNytNNZsdqzIzV35IHx3IM3Wvz9G4s0rOxSE9/kfbVWZ3HXim1Ii1mI/6L\nwC8CHwPKwCMi8tCi1PIaaIKbm0DQoDL0KqXpSWZmpxkunWGkNsp4Y5JKVCOQGB8hJMYXISAiEghF\niOLkrn8oQth6HcNcc14AhwiPAM/4pAjwTIiHj235GOMTWTENY6hbhunYJj9qc+ugsGtA2DoCTgyR\nZahvW0v+3e9h3UMfInfXXViZDCLC7Fg9uUt/JLlbX5poJGc30NmXp3dj8mx9z8YiXX05ndteKbUg\ny53YTuO+eovpAfzjT1F+8xt4p58lWxvilOPwWirNN91uDnhZRlIBTac5t8uqdC+7uneys2snOzuT\nZY/bSTg8jD8wkJSTA3Ovg+FhiM8Nn7fb2pI7+Bv6cdf24a1L8uK469bhrl592cz4fj1kZqzGzGiN\niVMVxgaSx+WCZtKJ4KZtVm9uo29rG2u2ttO7sYjjaee7Ump5LEliO2PMJsAHAuCngS+IyDevvbrX\nRnvk1fn8MKbuR1T9kJofUTt/2UxeV/2Iuh/h18u4tTHc+jj5ygnaq4dw5Ri4Zxg1QnXCwzrjsfEU\nbBkBWyC0DJPrV+Fs3U7/Xe+hc9dtpG7ZjtPRQa3kMzZQSp6tP5ksm9VkCL7jWqzacC5hXu+mIoWu\ntA7DV0q9rWW6E69xX11aZRyGXoBTLxANvoAZfhkrajBpWRzyPF73Urzi5TmccjnjxkgrzHV6RXZ2\n7mBz5y2szq5mdW41vbleVmdX02kXiYdH5jXsW3fvBwYJRkffcgcfy8Lt68PbtAlv00ZSmzYlrzdv\nxu259Dz2cSzMnKklcfpEieGjM0wNV5NDOobe/iJrtrazptWwT2kyPaXUMliyKeaMMR8QkcevumaL\nRIO5WipBGDI7fJTKyZcITzxDdeJ5BprDDE9liEddes8Y1o9DoXFun2o+R9Ddi9vVS2Z1D8U1PWR7\ne2hkuphq5JgsO0xMCBOjPlFrTvtM0WP1piQDfu+mZIifDsNXSs23QrLTa9xXlxaFUBqC6QHiqZNM\nnz5MaeQITJ0k5Q8zlmryhufxRsrjdc9jwHVpnDeU3cIkuW8sG9vY2JaD3XrvxIauMnTPxEmZjlg7\nY7F6MqIwWsFuBHPHcVavJrNnT1Lu2EP61lux0pdORtuoBowcm50bUTc+UE6S2hroXpdPktpubWfd\nLR2k829/918ppRbDYg6n/zDwY0AezVKr3qkas8ldhxNPc2bwBQ6UT3C4UWe0nEJmHNZNQEcZOipC\nexUKdbAu8k8rNhbVXB/T3dspdd9CJbeBmim2PhVyeYdib45id5ZCd5piV4Z8R4ps0SNT8EjnHB2W\nr9Q7yDLdide4rxZFI4h47o2T7D+wn6Hjb9DeGGKNmaA3NUUmNU1ozTJjGozZNr4xRAZiIDSGCEPs\npIm9DJGblNhJEzoeI+Jzsj5OJajSUYG+SWHLlMud43k2DvnkxspJBRyH9I4dc436zJ49uOvXX3IU\nXNCMGD0xy/DRWUaOznDm+CyhH2MM9G5qo/+2Lvpv66J7fV5H0imllsRiNuKfBP4vYJokmP8DEfnF\nRanlNdBgrpZdowQTR6iNHuTVkec5URriVGOS4bDCqPiUfYibNtkG5BpCtgm5JuQaSWO/exZWlYT2\nag4/vZFSsZ9Guot6upt6thvfbUsesD9POueQKXpkC0nDPikumcLZdcnrTNHDS9v6h4ZSN7BlasRr\n3FeLLo6F/UMzvDw4wxsjJd4YKXFktIKJGvSYaTop02EqdLSW7aZMtynRZ03Ta6bpYZouZueOJ8CI\nk+VQ2zoGit2cyqZ5kzpvNsZIl322DQu3j6a4fTTFmsEqTuuOvd3RQWb3blLbt+Ft2UJqy1ZSmzdh\n5XIX1DmKYsYHygy+NsnAwUnGBpLOgWybN9egX7+jU+exV0otmsVsxP+GiPzEvPd3iMgri1DHa6LB\nXK14oU9QHiEonaZZHqZRHqE8PUx5doRSbZzp5jSlsEw5rlELIvyqg19ySM1arJmCNZMWnbUOYrud\nwCvgu3l8r0DgFmh6BZrptrn3sXXx4YKWY+Ya+9k2j2zxbEmRa/ModKUpdmdIZR1t7Cu1Ai1TI17j\nvrougijmxESVw6Nlas2IZhTjh0kJzr5uLZthTBQ0STfGsGdOkCmdoLt5is1mhE1mhHVmHNsIAXDE\nc3kp28mr2TYOeTAodfomYPuwsGfEYfsZi/ZxHys6l0zP6VtDauNG3LXrcNf2JYn0WsXp6cEYQ63k\nzzXoB1+fwq+HWJZhzbY2+nd10397Fx2rddpZpdTVW8xG/PcB/ydwjKRH/vblfj4PNEutusmETaiO\nQ3Wc0tRpXh95g8NTRzlZPU25PEVYrRHXA6QuZOuGtqrQVoO2KhSrQrFuk/XziF3Adwv4XoFSvsBs\noZ1qtp3Ia8PYbRjyEKV460R84HhCoWgodlgUOzyyHVkyxRyZQppMxpBOGVLtWbxiHjulDX6lltIK\nyE6vcV/dEBpBxNB0jcGpGkPjM5RHjsDEEVKlE7TXBuhnmB5m8Kwqp1Mhr6U8Xkt5HEh5jFgOPTOw\nfly4bTxi+5jQM2ORrVhYtfgt5zGZDKnNm/G2bE6Wmzfjbt7KVNwx16ifPJ0kySt0pefu0q+9pQNX\ns94rpS5jqbLTPwv8O2CmteoHReQfX2Ndr5n2yKt3IhGhVDnDmck3KM0OUi4PU6mOUa5PUK5NUp+e\nxYxUyYwGtI0LqyagdzLJrD93DAyzuRylYhux20XkduG7XTRT3TRS3TS9diIn8zaViLHiAFsCrNjH\nkxouDVKmSdoJyHgRuayQb7cpdGcprOkgvXo19uoN2D1rsVKpa7sGsdCshzSqAY1qQLMWYtkG17Nx\nPBs3ZeF4Nl7awfEs7XBQN7RluhOvcV/d8ESE8XKT0VKTiWqTiVKd8uwU9dkJmuVJKtVhJsLjTHKa\nKWeSqXSZmpPMKJP1Y+6ZDLhjImTrVEzflODOZgjKDnHlXKZ8u61I5s67yNx1F/G23YzGvQweKjH0\n5hShH2O7Fmu3d7BhVydrtrTRtS6PrXltlFJvY6FxfyEP8bwgIl+ad+DTCzj5FuAzwMvAOmBSRP6V\nMaaT5A+D48A24GdFZPQi+/994E4gAo6JyH9bQD2VuukZY2grrKGtsGZhO4Q+4cwIkyffZHzwMNPD\ng1RGhmmOjiMzZepMU7HeoGGFhDaEQBhBgIfYBWK7CKaAMQXcKIUXurixgxt5ELsgaXxy+FaOstVO\nJDniMAMlkjKYVMMJSqSa38QNqjhRFUtqGOoYqwm2IMZGLAexHcRyiS2PmBSxSROTImq9Dq0UkUmD\nWdgfQUZCLGlgSz0pNLAIsCXCkhBbQqw4xJYo2TYOsCTExGGyNBHGAcs1WCmDnbIxKRsr62IVMphi\nBrs9j+lsh2IBslkklwHPnctnkHbS5N08WTc7t7QuV38RiPxWCZJjGatV7HOvrbOvL+yoiGMhCmLC\nICKOBGMMlmVauxqMZXBc7eRQF6VxX93wjDH0FNP0FOc/btZ/0W3jWJit+7w+dooXRl7h9cnXOJo9\nyLOrjxMYHwAvNmxqwt3lJu8er7NxVEiN1ai//HUq3/gGAI5tcevOHdx517sorbuL0biXU8drPP2H\nkwDYrsWq9QV6NyVTza5aX6DYndaEtUqpK7aQO/H/nSR/yLHWqveJyLdfZp93AX1n/wgwxrwO/CDw\nI8ATIvKHxphHgb8rIj943r7rgD8F7hQRMca8CHxcRI7M30575JVaPLWgxpnqGYarw8w2Z/Ejn0bU\noBk2aUZJsYyFYzlJMckyiGJKzSalWo1yo0alWadaq+PM+GRmYjIVl0wtTdrP4YV5nDiDLTkssmBy\nYC7dj2hiHyesYkVV7ChZmqiKiZOCVCCuATUMFkY8DB4WHuCBSSNWltjOEVs5YjtL5OSILA+xHGLj\nJEvLQYyz4I6BS7Eiv9UBEGEkAglJ2iOCtBrKgmk9yTCv4TyvEW2IMRK2SgASYiRCEMAgra3EgGCD\ncRDjzS3FOIhxEct922s7R2LsuIYT1bHjOk5Uw4nr2NRxTBPLbmI7AY4bYGcs7KyLU8jgFrM4hSxO\ne5FsrkAuUySXbcdL57BSOexsDjuVOtdBcDbOiHCxmGNcD8tzwXW1U+E8y3QnXuO+UkAsMSdLJzk4\nfpAXRvazf+wAg5UjxCR37K3Yoiuw2VVq8p7TdTYOCx0jNmbSTf73DzhrViN7HqCy+lZmvNVM1dLJ\ndLNBMmTfsg1tqzK092bnSkdvlvbVWTJ5b7m+ulJqmSzmnfhNwG/Pez9zqQ3PEpEXz1tlAVXgO4F/\n3Vr3TeB3L7L7B4GX5Nxfes8CHwaOXGRbpdQiyLpZNrdvZnP75utyvlhiqn6VUrVMtTJD05+m0Zim\n0ZxJSlBCTEAkIVEcEsURYZz80eQ5KTyrC8/uw7M9XNvDtVN4dgrXSePZKTwnDcYlMIZAhACDLzG+\nCKFAEyGIIwKEIPYJpI5EBhPZSAREFkSGwDfUGxHNRkRQ8wnqPlKtY1Xr2LUmTj3E8SPc1s1ySww2\nBlssTKsgtBrf0mrLylsata0XSQPXWEkj3DjzylsfPzBni8SYOMBIDUOIiQMgaDX+A4SzSx8kTjoS\nxCDGah3BIrZSYDKIlSW0sgR2BnHbk84PK5N0BpxVb5XJS/1Uq61yjhX5WLGPHSWPXpjLdBonX1B4\nu60MMRBhJCaZjCrGECMman3WKiZOrosJwIQYK8RYEVhx0l9jW+AYjG1hbAO2hdgW4liIZRDbIrYt\nIsskvw4WhBZExhDZhsi1iFyHwHXwHRffS2Ol86TcFBnXI22nSLsexVSWVbk8vYUiPfk8HTkPd+Xf\nddO4rxRgGYvNbZvZ3LaZv731bwMQRAGHZw5zaOoQh6eOc3DsKK/kTvLXq0aQO5KGuRcKDwyF3Hsq\nZPPpU+Sf+gKZ6hfIAGsAP5OjtOkemn07kPa11KWN6cEmAwcniaNz/wdM5ZykQT/XuM/R3pulbVUG\n213x/x9RSi2hhTTi/6mIvHr2jTHmz6/kBMaY7wH+QkTeNMb0AK3JOykBHcYYR0TCebvM3+bsdj1X\nck6l1MpmGYtCqkAhVYDOvuWuzjtWEAc0wgY1v041rFP1a1SCOrVmQDUIqNV8quWIxkyTqFRFZspY\nlSpWpYZda2A3fCSOiEWIRVrjDkCwkg4Iy04ekXBdBHfeiATmlkmHBFgybxmfn3oxYTBJ5witThJs\nLLEAC4NLNkK88QAAGrpJREFU0m60Ma3l2VEJseURW+650RZC69mRK79mdqtclMRYcRMTlzEySYzP\nNE2mxOcN0yQ2/lwxCJYYDAYLC6v13SANJtNaXnzWietA475Sl+DaLru6drGra9db1gdxwFB5iNcn\n3uSlkYO83nWQ39r0JhWpAVCoxzwwEnDXmYh1YxHp8WfIH3+GdGvqO4DYWNSKa6iv3UnUs5m6WU11\nop2B4RRvNs6dyxgodGfOa+And++zRU9HNCn1DrCQRvwnjTGfm/dejDGeiAxdbkdjzMPAw8AnW6vG\ngAJJr34RmD4vkJ/dZuu890Xg6PnHHh8f5557LhxpsHfvXvbu3Xu5qiml1Duea7m4nkvBK1z3c4sI\nkUREEmFaTfazy3OLt64/+4fp+e/PHk+QuWUYx9T9iKofUPdDqs2QSt2nWm1Sr1YJKhXCWoWgViWq\n13GCBm7k48QBTuTjRAFOGGCJwYnBEsEWMHEMsRCFEEVm3tIiDCCMLKLIJo4dYnGI8JLcDqaN2PKI\nLI/Ibs0QYaQ1OuHsgxIRdtTACRvYUR07mgToXtIfxMVp3FfqCrmWy6a2TWxq28R3bvkwkPx/abQ2\nymuTr3FgbD/7h5/lN2aO0pAQEDJxzJqGsHU6on9K6J0RijNDpMrDpF99nK6S4Lb+tYR2mlq2h1LX\nWmod62lEfUxMreLUa0ViOXdX3kvbtPVkKXSmyXekyHekyXemKHSmyRY9UjkXL21rQ1+pZbZv3z72\n7dt3sY8WFPcX8kz80yTjE08Am4GzfYFfFpHffJv9vhN4L/AzJKOH+oF/wEWejTPGWMA6ERnUZ+OU\nUkrdzCRuTV9lzGX/kF6mZ+I17iu1RMI45OjMUfaP7Wdg9gTjpUHGKsNMNCYZC8o05Fz2e0Rorwpr\npqG7JHTPGHpnhJ4Z6JkVuktgxNBIdVDL9lDJ91JpX0Oz0EeQ6qJpCoTxhWOHjGVI5xxSWZd0ziWd\nc0jnXFK5c+8zRY9iV4ZCZ5pUTqeWVep6Wcxn4v9cRM4+z4Yx5lMi8ivGmM+8zcnvBj4PfAv4OpAD\nfgv4WeCXjTHbgS3AT7Z22Q38HslctEPGmF8D/r0xJgJ++/xArpRSSt2ojLXin2XVuK/UEnEshx2d\nO9jRueOCz0SEWljDYOYSyVrGwg9jBiYqDIyeZnB8gCPTp3m+NEa5MoI7fYJCZZxc7Ri50iG6ZqH3\nTNLQTwUQOhmaqQ4aqQ7KxSKNYjtBvo3I7gTTTiMsUpvJEgYuQRMCP76gXm7KptCVptiVptCZptCV\nodCVnluXzmtSUqWut4U04s9/YHVLa1m61A4i8hKQv8THP3KR7V8Bbp/3/n8A/2MBdVNKKaXU4tK4\nr9QyMMaQc3MXrPcci22ri2xbXQR2XvB5tRkyNF3n1FSVQxOneWXsNcozb2BPHSY/M0qxPEGxPEKx\nJHROwoaj0F67eB1i49B0s9SybdRynTQy3TQyX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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -891,16 +956,11 @@ } ], "source": [ - "fig,axes = plt.subplots(3,2, figsize=(12,10))\n", + "fig,axes = plt.subplots(3,2, figsize=(14,10))\n", + "# Plot contrast curves\n", "for j, contrasts in enumerate(contrast_all):\n", " for i,ax in enumerate(axes.flatten()):\n", " rr, contrast, mag_sens = contrasts[i]\n", - " #filt, mask, pupil = args_list[i]\n", - "\n", - " # Plot contrast curves\n", - " #bp = pynrc.read_filter(filt, pupil, mask)\n", - " #obs = S.Observation(sp_sci, bp, binset=bp.wave)\n", - " #mag_sens = obs.effstim('vegamag')-2.5*np.log10(nsig*cc)\n", " label=\"WFE Drift = {} nm\".format(wfe_list[j])\n", " ax.plot(rr, mag_sens, label=label)\n", "\n", @@ -911,65 +971,17 @@ " ax.plot(planet_dist, pmag, marker='o', ls='None', label=label, color='k', zorder=10)\n", "\n", " \n", - " ax.set_xlim([0,5.1])\n", + " ax.set_xlim([0,5])\n", " ax.set_ylim([25,5])\n", " ax.minorticks_on()\n", " ax.set_title(filt_keys[i])\n", - " ax.legend()\n", + " ax.legend(ncol=2)\n", " \n", " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", " ax.set_xlabel('Separation (arcsec)')\n", " \n", - "fig.tight_layout()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# Argument tuple: (Name, distance, sptype model params, age, kmag)\n", - "args_source = ('eps Eri', 10.5, (5084, -0.13, 4.3), 500, 1.67)\n", - "name, dist, sp_args, age, kmag = args_source\n", - "\n", - "bp_k = S.ObsBandpass('k')\n", - "sp = S.Icat('ck04models', *sp_args)\n", - "sp_sci = sp.renorm(kmag, 'vegamag', bp_k)\n", - "sp_sci.name = name\n", - "\n", - "sp = S.Icat('ck04models', 5055, 0.13, 3.9)\n", - "sp_ref = sp.renorm(1.43, 'vegamag', bp_k)\n", - "sp_ref.name = 'del Eri'" + "fig.tight_layout()\n", + "fig.subplots_adjust(wspace=0.15)" ] }, { diff --git a/notebooks/Example_Ramp_Optimize.ipynb b/notebooks/Example_Ramp_Optimize.ipynb index deeb5e4d..e3dda439 100644 --- a/notebooks/Example_Ramp_Optimize.ipynb +++ b/notebooks/Example_Ramp_Optimize.ipynb @@ -31,19 +31,8 @@ "import matplotlib\n", "import matplotlib.pyplot as plt\n", "\n", - "# Enable inline plotting at lower left\n", + "# Enable inline plotting\n", "%matplotlib inline\n", - "matplotlib.rcParams['image.origin'] = 'lower'\n", - "matplotlib.rcParams['image.interpolation'] = 'none'\n", - "\n", - "# seaborn package for making pretty plots, but not necessary\n", - "try:\n", - " import seaborn as sns\n", - " params = {'xtick.direction': 'in', 'ytick.direction': 'in', 'font.family': ['serif'],\n", - " 'text.usetex': True, 'text.latex.preamble': ['\\usepackage{gensymb}']}\n", - " sns.set_style(\"ticks\", params)\n", - "except ImportError:\n", - " print('Seaborn module is not installed. Not strictly required, but is a useful package!')\n", " \n", "from IPython.display import display, Latex, clear_output" ] @@ -58,7 +47,7 @@ "source": [ "import pynrc\n", "from pynrc import nrc_utils\n", - "from pynrc.nrc_utils import (webbpsf, poppy, pix_noise, S)\n", + "from pynrc.nrc_utils import S\n", "from pynrc.pynrc_core import table_filter\n", "\n", "pynrc.setup_logging('WARNING', verbose=False)\n", @@ -70,7 +59,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Example 1: M-Dwarf companion\n", + "## Example 1: M-Dwarf companion (imaging vs coronagraphy)\n", "\n", "We want to observe an M-Dwarf companion (K=18 mag) orbiting an F0V primary (K=10 mag) in the F430M filter. Assume the M-Dwarf flux is not significantly impacted by the primary's PSF (ie., in the background limited regime). In this scenario, the F0V star will saturate much more quickly compared to the fainter companion, so it limits which ramp settings we can use.\n", "\n", @@ -88,8 +77,8 @@ "# Get stellar spectra and normalize at K-Band\n", "# The stellar_spectrum convenience function creates a Pysynphot spectrum\n", "bp_k = S.ObsBandpass('k')\n", - "sp_M2V = pynrc.stellar_spectrum('M2V', 18, 'vegamag', bp_k)\n", - "sp_F0V = pynrc.stellar_spectrum('F0V', 10, 'vegamag', bp_k)" + "sp_M2V = pynrc.stellar_spectrum('M2V', 18, 'vegamag', bp_k, catname='ck04models')\n", + "sp_F0V = pynrc.stellar_spectrum('F0V', 10, 'vegamag', bp_k, catname='ck04models')" ] }, { @@ -126,29 +115,29 @@ "SHALLOW4\n", " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", - "RAPID 9 510 2.51 1278.96 1421.06 99.9 0.707 2.650\n", - "RAPID 9 511 2.51 1281.47 1423.85 100.0 0.707 2.650\n", - "RAPID 9 512 2.51 1283.97 1426.64 100.1 0.707 2.650\n", - "RAPID 9 513 2.51 1286.48 1429.42 100.2 0.707 2.650\n", - "RAPID 9 514 2.51 1288.99 1432.21 100.3 0.707 2.650\n", - "RAPID 9 515 2.51 1291.50 1435.00 100.4 0.707 2.650\n", - "RAPID 9 516 2.51 1294.00 1437.78 100.5 0.707 2.650\n", - "RAPID 9 517 2.51 1296.51 1440.57 100.6 0.707 2.650\n", - "RAPID 9 518 2.51 1299.02 1443.36 100.7 0.707 2.650\n", - "RAPID 9 519 2.51 1301.53 1446.14 100.8 0.707 2.650\n", + "RAPID 9 428 2.51 1073.32 1194.79 100.0 0.705 2.891\n", + "RAPID 9 429 2.51 1075.83 1197.58 100.1 0.705 2.891\n", + "RAPID 9 430 2.51 1078.34 1200.37 100.2 0.705 2.891\n", + "RAPID 9 431 2.51 1080.84 1203.16 100.3 0.705 2.891\n", + "RAPID 9 432 2.51 1083.35 1205.95 100.4 0.705 2.891\n", + "RAPID 9 433 2.51 1085.86 1208.75 100.5 0.705 2.891\n", + "RAPID 9 434 2.51 1088.37 1211.54 100.7 0.705 2.891\n", + "RAPID 9 435 2.51 1090.88 1214.33 100.8 0.705 2.891\n", + "RAPID 9 436 2.51 1093.38 1217.12 100.9 0.705 2.891\n", + "RAPID 9 437 2.51 1095.89 1219.91 101.0 0.705 2.891\n", "... ... ... ... ... ... ... ... ...\n", - "BRIGHT1 5 720 2.51 1805.59 2006.21 101.3 0.707 2.261\n", - "BRIGHT1 5 721 2.51 1808.09 2008.99 101.4 0.707 2.261\n", - "BRIGHT1 5 722 2.51 1810.60 2011.78 101.5 0.707 2.261\n", - "BRIGHT1 5 723 2.51 1813.11 2014.57 101.5 0.707 2.261\n", - "BRIGHT1 5 724 2.51 1815.62 2017.35 101.6 0.707 2.261\n", - "BRIGHT1 5 725 2.51 1818.13 2020.14 101.7 0.707 2.261\n", - "BRIGHT1 5 726 2.51 1820.63 2022.93 101.7 0.707 2.261\n", - "BRIGHT1 5 727 2.51 1823.14 2025.71 101.8 0.707 2.261\n", - "BRIGHT1 5 728 2.51 1825.65 2028.50 101.9 0.707 2.261\n", - "BRIGHT1 5 729 2.51 1828.16 2031.29 101.9 0.707 2.261\n", - "BRIGHT1 5 730 2.51 1830.66 2034.07 102.0 0.707 2.261\n", - "Length = 113 rows\n" + "SHALLOW2 2 941 1.95 1835.40 2102.46 101.5 0.549 2.213\n", + "SHALLOW2 2 942 1.95 1837.35 2104.69 101.6 0.549 2.213\n", + "SHALLOW2 2 943 1.95 1839.30 2106.93 101.6 0.549 2.213\n", + "SHALLOW2 2 944 1.95 1841.25 2109.16 101.7 0.549 2.213\n", + "SHALLOW2 2 945 1.95 1843.20 2111.39 101.7 0.549 2.213\n", + "SHALLOW2 2 946 1.95 1845.15 2113.63 101.8 0.549 2.213\n", + "SHALLOW2 2 947 1.95 1847.10 2115.86 101.8 0.549 2.213\n", + "SHALLOW2 2 948 1.95 1849.06 2118.10 101.9 0.549 2.213\n", + "SHALLOW2 2 949 1.95 1851.01 2120.33 101.9 0.549 2.213\n", + "SHALLOW2 2 950 1.95 1852.96 2122.57 102.0 0.549 2.213\n", + "SHALLOW2 2 951 1.95 1854.91 2124.80 102.0 0.549 2.213\n", + "Length = 134 rows\n" ] } ], @@ -174,14 +163,16 @@ "text": [ " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", - "RAPID 9 510 2.51 1278.96 1421.06 99.9 0.707 2.650\n", - "RAPID 9 511 2.51 1281.47 1423.85 100.0 0.707 2.650\n", - "BRIGHT1 5 701 2.51 1757.94 1953.27 100.0 0.707 2.261\n", - "BRIGHT1 5 702 2.51 1760.45 1956.05 100.0 0.707 2.261\n", - "BRIGHT2 4 752 2.23 1676.30 1885.84 100.0 0.628 2.302\n", - "BRIGHT2 4 753 2.23 1678.53 1888.34 100.0 0.628 2.302\n", - "SHALLOW4 2 622 2.51 1559.83 1733.14 100.0 0.707 2.401\n", - "SHALLOW4 2 623 2.51 1562.33 1735.93 100.1 0.707 2.401\n" + "RAPID 9 428 2.51 1073.32 1194.79 100.0 0.705 2.891\n", + "RAPID 9 429 2.51 1075.83 1197.58 100.1 0.705 2.891\n", + "BRIGHT1 5 586 2.51 1469.55 1635.85 100.0 0.705 2.471\n", + "BRIGHT1 5 587 2.51 1472.06 1638.65 100.0 0.705 2.471\n", + "BRIGHT2 4 630 2.23 1404.35 1583.14 100.0 0.627 2.513\n", + "BRIGHT2 4 631 2.23 1406.57 1585.65 100.1 0.627 2.513\n", + "SHALLOW2 2 913 1.95 1780.79 2039.90 100.0 0.549 2.213\n", + "SHALLOW2 2 914 1.95 1782.74 2042.13 100.0 0.549 2.213\n", + "SHALLOW4 2 523 2.51 1311.56 1459.99 100.0 0.705 2.616\n", + "SHALLOW4 2 524 2.51 1314.07 1462.78 100.1 0.705 2.616\n" ] } ], @@ -193,7 +184,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 12, "metadata": { "collapsed": false }, @@ -204,17 +195,17 @@ "text": [ " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", - "MEDIUM8 10 84 104.77 8800.34 8890.14 99.7 0.001 1.057\n", - "MEDIUM8 10 85 104.77 8905.10 8995.97 100.3 0.001 1.057\n", - "DEEP8 20 13 414.79 5392.24 5406.14 101.5 0.003 1.380\n", - "DEEP8 20 14 414.79 5807.03 5821.99 105.3 0.003 1.380\n" + "MEDIUM8 10 72 104.77 7543.15 7621.55 99.8 0.001 1.143\n", + "MEDIUM8 10 73 104.77 7647.91 7727.41 100.5 0.001 1.143\n", + "DEEP8 20 11 414.79 4562.66 4574.64 99.9 0.003 1.476\n", + "DEEP8 20 12 414.79 4977.45 4990.52 104.3 0.003 1.476\n" ] } ], "source": [ "# Do the same thing, but for coronagraphic mask instead\n", "#pynrc.setup_logging('DEBUG', verbose=False)\n", - "nrc = pynrc.NIRCam('F430M', mask='MASK430R', pupil='CIRCLYOT', wind_mode='WINDOW', xpix=320, ypix=320)\n", + "nrc = pynrc.NIRCam('F430M', mask='MASK430R', pupil='CIRCLYOT', wind_mode='WINDOW', xpix=320, ypix=320, force=True)\n", "\n", "# We assume that longer ramps will give us the best SNR for time\n", "patterns = ['MEDIUM8', 'DEEP8']\n", @@ -261,7 +252,7 @@ "sp_G0V = pynrc.stellar_spectrum('G0V', 4, 'vegamag', bp_k)\n", "\n", "# Choose a representative planet spectrum\n", - "planet = pynrc.planets_sb11(atmo='hy3s', mass=8, age=200, entropy=8, distance=17.5)\n", + "planet = pynrc.planets_sb12(atmo='hy3s', mass=8, age=200, entropy=8, distance=17.5)\n", "sp_pl = planet.export_pysynphot()\n", "\n", "# Renormalize to F360M = 18.8\n", @@ -271,7 +262,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": { "collapsed": true }, @@ -283,7 +274,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": { "collapsed": false }, @@ -303,39 +294,39 @@ "SHALLOW4\n", " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", - "DEEP2 9 19 173.18 3290.51 3310.82 621.7 0.717 10.803\n", - "DEEP2 9 20 173.18 3463.69 3485.07 637.8 0.717 10.803\n", - "DEEP2 9 21 173.18 3636.87 3659.32 653.6 0.717 10.803\n", - "DEEP2 9 22 173.18 3810.06 3833.58 668.9 0.717 10.803\n", - "DEEP2 9 23 173.18 3983.24 4007.83 684.0 0.717 10.803\n", - "DEEP8 9 18 179.60 3232.78 3252.02 613.3 0.744 10.754\n", - "DEEP8 9 19 179.60 3412.38 3432.69 630.1 0.744 10.754\n", - "DEEP8 9 20 179.60 3591.97 3613.36 646.5 0.744 10.754\n", - "DEEP8 9 21 179.60 3771.57 3794.02 662.4 0.744 10.754\n", - "DEEP8 9 22 179.60 3951.17 3974.69 678.0 0.744 10.754\n", + "DEEP2 10 17 194.57 3307.61 3326.12 626.1 0.799 10.855\n", + "DEEP2 10 18 194.57 3502.18 3521.78 644.2 0.799 10.855\n", + "DEEP2 10 19 194.57 3696.74 3717.43 661.9 0.799 10.855\n", + "DEEP2 9 19 173.18 3290.51 3311.20 622.4 0.711 10.816\n", + "DEEP2 9 20 173.18 3463.69 3485.47 638.6 0.711 10.816\n", + "DEEP2 9 21 173.18 3636.87 3659.74 654.3 0.711 10.816\n", + "DEEP2 9 22 173.18 3810.06 3834.02 669.7 0.711 10.816\n", + "DEEP8 9 18 179.60 3232.78 3252.38 614.0 0.738 10.766\n", + "DEEP8 9 19 179.60 3412.38 3433.07 630.8 0.738 10.766\n", + "DEEP8 9 20 179.60 3591.97 3613.75 647.2 0.738 10.766\n", "... ... ... ... ... ... ... ... ...\n", - "BRIGHT2 10 162 21.38 3463.69 3636.87 525.3 0.089 8.710\n", - "BRIGHT1 10 166 20.31 3371.75 3549.21 482.0 0.084 8.090\n", - "BRIGHT1 10 167 20.31 3392.06 3570.59 483.4 0.084 8.090\n", - "BRIGHT1 10 168 20.31 3412.38 3591.97 484.9 0.084 8.090\n", - "BRIGHT1 10 169 20.31 3432.69 3613.36 486.3 0.084 8.090\n", - "BRIGHT1 10 170 20.31 3453.00 3634.74 487.8 0.084 8.090\n", - "RAPID 10 304 10.69 3249.88 3574.87 387.2 0.044 6.475\n", - "RAPID 10 305 10.69 3260.57 3586.63 387.8 0.044 6.475\n", - "RAPID 10 306 10.69 3271.26 3598.39 388.5 0.044 6.475\n", - "RAPID 10 307 10.69 3281.95 3610.15 389.1 0.044 6.475\n", - "RAPID 10 308 10.69 3292.64 3621.91 389.7 0.044 6.475\n", - "Length = 59 rows\n" + "BRIGHT1 10 167 20.31 3392.06 3573.92 484.2 0.083 8.100\n", + "BRIGHT1 10 168 20.31 3412.38 3595.32 485.7 0.083 8.100\n", + "BRIGHT1 10 169 20.31 3432.69 3616.72 487.1 0.083 8.100\n", + "BRIGHT1 10 170 20.31 3453.00 3638.12 488.6 0.083 8.100\n", + "RAPID 10 304 10.69 3249.88 3580.93 387.9 0.044 6.482\n", + "RAPID 10 305 10.69 3260.57 3592.70 388.6 0.044 6.482\n", + "RAPID 10 306 10.69 3271.26 3604.48 389.2 0.044 6.482\n", + "RAPID 10 307 10.69 3281.95 3616.26 389.8 0.044 6.482\n", + "RAPID 10 308 10.69 3292.64 3628.04 390.5 0.044 6.482\n", + "RAPID 9 334 9.62 3213.53 3577.25 362.1 0.040 6.053\n", + "RAPID 8 371 8.55 3172.91 3576.91 333.3 0.035 5.572\n", + "Length = 57 rows\n" ] } ], "source": [ - "res = nrc.ramp_optimize(sp_pl, sp_bright=sp_G0V, tacq_max=3600, verbose=True)" + "res = nrc.ramp_optimize(sp_pl, sp_bright=sp_G0V, tacq_max=3600, tacq_frac=0.05, verbose=True)" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": { "collapsed": false }, @@ -346,24 +337,24 @@ "text": [ " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", - "RAPID 10 304 10.69 3249.88 3574.87 387.2 0.044 6.475\n", - "RAPID 10 305 10.69 3260.57 3586.63 387.8 0.044 6.475\n", - "BRIGHT1 10 166 20.31 3371.75 3549.21 482.0 0.084 8.090\n", - "BRIGHT1 10 167 20.31 3392.06 3570.59 483.4 0.084 8.090\n", - "BRIGHT2 10 158 21.38 3378.17 3547.07 518.8 0.089 8.710\n", - "BRIGHT2 10 159 21.38 3399.55 3569.52 520.4 0.089 8.710\n", - "SHALLOW2 10 68 50.24 3416.65 3489.35 594.4 0.208 10.062\n", - "SHALLOW2 10 69 50.24 3466.90 3540.66 598.8 0.208 10.062\n", - "SHALLOW4 10 65 52.38 3404.89 3474.38 597.2 0.217 10.131\n", - "SHALLOW4 10 66 52.38 3457.28 3527.83 601.7 0.217 10.131\n", - "MEDIUM2 10 34 98.35 3343.96 3380.30 616.3 0.407 10.600\n", - "MEDIUM2 10 35 98.35 3442.31 3479.73 625.3 0.407 10.600\n", - "MEDIUM8 10 32 104.77 3352.51 3386.72 610.9 0.434 10.497\n", - "MEDIUM8 10 33 104.77 3457.28 3492.55 620.4 0.434 10.497\n", - "DEEP2 9 19 173.18 3290.51 3310.82 621.7 0.717 10.803\n", - "DEEP2 9 20 173.18 3463.69 3485.07 637.8 0.717 10.803\n", - "DEEP8 9 18 179.60 3232.78 3252.02 613.3 0.744 10.754\n", - "DEEP8 9 19 179.60 3412.38 3432.69 630.1 0.744 10.754\n" + "RAPID 10 304 10.69 3249.88 3580.93 387.9 0.044 6.482\n", + "RAPID 10 305 10.69 3260.57 3592.70 388.6 0.044 6.482\n", + "BRIGHT1 10 166 20.31 3371.75 3552.52 482.8 0.083 8.100\n", + "BRIGHT1 10 167 20.31 3392.06 3573.92 484.2 0.083 8.100\n", + "BRIGHT2 10 158 21.38 3378.17 3550.22 519.6 0.088 8.719\n", + "BRIGHT2 10 159 21.38 3399.55 3572.69 521.2 0.088 8.719\n", + "SHALLOW2 10 68 50.24 3416.65 3490.70 595.2 0.206 10.074\n", + "SHALLOW2 10 69 50.24 3466.90 3542.03 599.6 0.206 10.074\n", + "SHALLOW4 10 65 52.38 3404.89 3475.67 597.9 0.215 10.141\n", + "SHALLOW4 10 66 52.38 3457.28 3529.15 602.5 0.215 10.141\n", + "MEDIUM2 10 34 98.35 3343.96 3380.98 617.1 0.404 10.612\n", + "MEDIUM2 10 35 98.35 3442.31 3480.42 626.1 0.404 10.612\n", + "MEDIUM8 10 32 104.77 3352.51 3387.36 611.6 0.430 10.509\n", + "MEDIUM8 10 33 104.77 3457.28 3493.21 621.1 0.430 10.509\n", + "DEEP2 10 17 194.57 3307.61 3326.12 626.1 0.799 10.855\n", + "DEEP2 10 18 194.57 3502.18 3521.78 644.2 0.799 10.855\n", + "DEEP8 9 18 179.60 3232.78 3252.38 614.0 0.738 10.766\n", + "DEEP8 9 19 179.60 3412.38 3433.07 630.8 0.738 10.766\n" ] } ], @@ -375,7 +366,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 16, "metadata": { "collapsed": false }, @@ -384,12 +375,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "t_acq : 3579.14592\n", + "t_acq : 3579.86304\n", "t_exp : 3540.66048\n", "t_frame : 1.06904\n", "t_group : 10.69040\n", "t_int : 98.35168\n", - "t_int_tot : 99.42072\n" + "t_int_tot : 99.44064\n" ] } ], @@ -406,7 +397,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "metadata": { "collapsed": false }, @@ -436,7 +427,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 5, "metadata": { "collapsed": true }, @@ -449,7 +440,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 6, "metadata": { "collapsed": true }, @@ -460,7 +451,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 7, "metadata": { "collapsed": false }, @@ -480,29 +471,29 @@ "SHALLOW4\n", " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", - "SHALLOW4 8 11 13.28 146.12 149.87 99.8 0.010 8.149\n", - "SHALLOW4 8 12 13.28 159.41 163.49 104.2 0.010 8.149\n", - "SHALLOW2 9 10 14.31 143.06 146.46 98.1 0.011 8.107\n", - "SHALLOW2 9 11 14.31 157.36 161.11 102.9 0.011 8.107\n", - "SHALLOW4 7 15 11.58 173.71 178.82 105.1 0.009 7.861\n", - "SHALLOW2 8 14 12.60 176.44 181.20 105.4 0.009 7.826\n", - "MEDIUM2 5 11 14.31 157.36 161.11 98.2 0.011 7.737\n", - "MEDIUM2 5 12 14.31 171.67 175.75 102.6 0.011 7.737\n", - "MEDIUM8 4 13 12.94 168.26 172.69 101.5 0.010 7.725\n", - "MEDIUM8 4 14 12.94 181.20 185.97 105.3 0.010 7.725\n", + "SHALLOW4 8 11 13.28 146.12 149.93 99.8 0.010 8.150\n", + "SHALLOW4 8 12 13.28 159.41 163.56 104.2 0.010 8.150\n", + "SHALLOW2 9 10 14.31 143.06 146.52 98.2 0.011 8.108\n", + "SHALLOW2 9 11 14.31 157.36 161.17 102.9 0.011 8.108\n", + "SHALLOW4 7 15 11.58 173.71 178.90 105.2 0.009 7.863\n", + "SHALLOW2 8 14 12.60 176.44 181.28 105.4 0.009 7.828\n", + "MEDIUM2 5 11 14.31 157.36 161.17 98.2 0.011 7.738\n", + "MEDIUM2 5 12 14.31 171.67 175.82 102.6 0.011 7.738\n", + "MEDIUM8 4 13 12.94 168.26 172.76 101.6 0.010 7.726\n", + "MEDIUM8 4 14 12.94 181.20 186.05 105.4 0.010 7.726\n", "... ... ... ... ... ... ... ... ...\n", - "BRIGHT1 10 43 6.47 278.28 292.92 103.2 0.005 6.028\n", - "BRIGHT2 7 66 4.77 314.72 337.20 102.8 0.004 5.595\n", - "RAPID 10 128 3.41 435.98 479.58 99.8 0.003 4.555\n", - "RAPID 10 129 3.41 439.39 483.33 100.1 0.003 4.555\n", - "RAPID 10 130 3.41 442.79 487.07 100.5 0.003 4.555\n", - "RAPID 10 131 3.41 446.20 490.82 100.9 0.003 4.555\n", - "RAPID 10 132 3.41 449.61 494.57 101.3 0.003 4.555\n", - "RAPID 10 133 3.41 453.01 498.31 101.7 0.003 4.555\n", - "RAPID 10 134 3.41 456.42 502.06 102.1 0.003 4.555\n", - "RAPID 9 174 3.07 533.40 592.66 102.1 0.002 4.193\n", - "RAPID 7 334 2.38 796.35 910.11 102.1 0.002 3.384\n", - "Length = 32 rows\n" + "BRIGHT1 10 41 6.47 265.34 279.52 100.8 0.005 6.028\n", + "BRIGHT1 10 42 6.47 271.81 286.34 102.0 0.005 6.028\n", + "BRIGHT1 9 54 5.79 312.68 331.36 102.9 0.004 5.655\n", + "RAPID 10 128 3.41 435.98 480.25 99.8 0.003 4.554\n", + "RAPID 10 129 3.41 439.39 484.01 100.2 0.003 4.554\n", + "RAPID 10 130 3.41 442.79 487.76 100.6 0.003 4.554\n", + "RAPID 10 131 3.41 446.20 491.51 101.0 0.003 4.554\n", + "RAPID 10 132 3.41 449.61 495.26 101.4 0.003 4.554\n", + "RAPID 10 133 3.41 453.01 499.01 101.7 0.003 4.554\n", + "RAPID 10 134 3.41 456.42 502.77 102.1 0.003 4.554\n", + "RAPID 9 174 3.07 533.40 593.58 102.1 0.002 4.192\n", + "Length = 30 rows\n" ] } ], @@ -513,7 +504,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 8, "metadata": { "collapsed": false }, @@ -524,24 +515,24 @@ "text": [ " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", - "RAPID 10 128 3.41 435.98 479.58 99.8 0.003 4.555\n", - "RAPID 10 129 3.41 439.39 483.33 100.1 0.003 4.555\n", - "BRIGHT1 10 40 6.47 258.86 272.49 99.5 0.005 6.028\n", - "BRIGHT1 10 41 6.47 265.34 279.30 100.7 0.005 6.028\n", - "BRIGHT2 10 30 6.81 204.37 214.58 99.4 0.005 6.785\n", - "BRIGHT2 10 31 6.81 211.18 221.74 101.0 0.005 6.785\n", - "SHALLOW2 9 10 14.31 143.06 146.46 98.1 0.011 8.107\n", - "SHALLOW2 9 11 14.31 157.36 161.11 102.9 0.011 8.107\n", - "SHALLOW4 8 11 13.28 146.12 149.87 99.8 0.010 8.149\n", - "SHALLOW4 8 12 13.28 159.41 163.49 104.2 0.010 8.149\n", - "MEDIUM2 5 11 14.31 157.36 161.11 98.2 0.011 7.737\n", - "MEDIUM2 5 12 14.31 171.67 175.75 102.6 0.011 7.737\n", - "MEDIUM8 4 13 12.94 168.26 172.69 101.5 0.010 7.725\n", - "MEDIUM8 4 14 12.94 181.20 185.97 105.3 0.010 7.725\n", - "DEEP2 3 12 14.31 171.67 175.75 99.6 0.011 7.515\n", - "DEEP2 3 13 14.31 185.97 190.40 103.7 0.011 7.515\n", - "DEEP8 2 20 9.54 190.74 197.55 99.6 0.007 7.087\n", - "DEEP8 2 21 9.54 200.28 207.43 102.1 0.007 7.087\n" + "RAPID 10 128 3.41 435.98 480.25 99.8 0.003 4.554\n", + "RAPID 10 129 3.41 439.39 484.01 100.2 0.003 4.554\n", + "BRIGHT1 10 40 6.47 258.86 272.70 99.6 0.005 6.028\n", + "BRIGHT1 10 41 6.47 265.34 279.52 100.8 0.005 6.028\n", + "BRIGHT2 10 30 6.81 204.37 214.75 99.4 0.005 6.785\n", + "BRIGHT2 10 31 6.81 211.18 221.90 101.1 0.005 6.785\n", + "SHALLOW2 9 10 14.31 143.06 146.52 98.2 0.011 8.108\n", + "SHALLOW2 9 11 14.31 157.36 161.17 102.9 0.011 8.108\n", + "SHALLOW4 8 11 13.28 146.12 149.93 99.8 0.010 8.150\n", + "SHALLOW4 8 12 13.28 159.41 163.56 104.2 0.010 8.150\n", + "MEDIUM2 5 11 14.31 157.36 161.17 98.2 0.011 7.738\n", + "MEDIUM2 5 12 14.31 171.67 175.82 102.6 0.011 7.738\n", + "MEDIUM8 4 13 12.94 168.26 172.76 101.6 0.010 7.726\n", + "MEDIUM8 4 14 12.94 181.20 186.05 105.4 0.010 7.726\n", + "DEEP2 3 12 14.31 171.67 175.82 99.7 0.011 7.516\n", + "DEEP2 3 13 14.31 185.97 190.47 103.7 0.011 7.516\n", + "DEEP8 2 20 9.54 190.74 197.66 99.7 0.007 7.088\n", + "DEEP8 2 21 9.54 200.28 207.55 102.1 0.007 7.088\n" ] } ], @@ -553,7 +544,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 9, "metadata": { "collapsed": false }, @@ -562,12 +553,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "t_acq : 170.30500\n", + "t_acq : 170.36264\n", "t_exp : 166.89890\n", "t_frame : 0.34061\n", "t_group : 1.70305\n", "t_int : 16.68989\n", - "t_int_tot : 17.03050\n" + "t_int_tot : 17.03574\n" ] } ], @@ -584,7 +575,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 10, "metadata": { "collapsed": false }, @@ -596,19 +587,19 @@ "F444W SNR for M9V source\n", " Wave SNR Flux (mJy)\n", "--------- --------- ----------\n", - " 3.80 6.60 5.52\n", - " 3.90 178.56 5.48\n", - " 4.00 181.54 4.81\n", - " 4.10 159.99 3.74\n", - " 4.20 164.95 4.38\n", - " 4.30 153.02 4.14\n", - " 4.40 131.75 3.48\n", - " 4.50 118.40 3.11\n", - " 4.60 104.84 2.89\n", - " 4.70 81.86 2.22\n", - " 4.80 78.34 2.29\n", - " 4.90 86.57 3.36\n", - " 5.00 30.39 1.77\n", + " 3.80 6.61 5.52\n", + " 3.90 178.64 5.48\n", + " 4.00 181.62 4.81\n", + " 4.10 160.05 3.74\n", + " 4.20 165.01 4.38\n", + " 4.30 153.08 4.14\n", + " 4.40 131.80 3.48\n", + " 4.50 118.44 3.11\n", + " 4.60 104.88 2.89\n", + " 4.70 81.89 2.22\n", + " 4.80 78.37 2.29\n", + " 4.90 86.60 3.36\n", + " 5.00 30.41 1.77\n", " 5.10 0.61 2.17\n" ] } @@ -619,74 +610,134 @@ "snr_dict = nrc.sensitivity(sp=sp_M9V, forwardSNR=True, units='mJy', verbose=True)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Mock observed spectrum\n", + "\n", + "Create a series of ramp integrations based on the current NIRCam settings. The gen_exposures() function creates a series of mock observations in raw DMS format by default. By default, it's point source objects centered in the observing window." + ] + }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 30, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "# Make a mock observed spectral image and extract\n", + "# Ideal spectrum and wavelength solution\n", "wspec, imspec = nrc.gen_psf(sp=sp_M9V)\n", "\n", - "# Extract 2 spectral x 5 spatial pixels\n", - "# First, cut out the central 5 pixels\n", - "imspec_sub = nrc_utils.pad_or_cut_to_size(imspec, (5,imspec.shape[1]))\n", + "# Resize to detector window\n", + "nx = nrc.det_info['xpix']\n", + "ny = nrc.det_info['ypix']" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Create a series of ramp integrations based on the current NIRCam settings\n", + "# Output is 10 HDULists\n", + "res = nrc.gen_exposures(sp=sp_M9V, return_results=True, targ_name='sp_M9V')" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "header = res[0]['PRIMARY'].header\n", + "tvals = (np.arange(header['NGROUPS'])+1) * header['TGROUP']\n", + "slope_list = []\n", "\n", - "# Sum along the spatial axis\n", - "spec = imspec_sub.sum(axis=0)\n", + "for hdul in res:\n", + " header = hdul['PRIMARY'].header\n", + " data = hdul['SCI'].data\n", + " ref = pynrc.ref_pixels.NRC_refs(data, header, DMS=True, do_all=True)\n", "\n", - "# Rebin along spectral direction\n", - "wspec_rebin = nrc_utils.frebin(wspec, scale=0.5, total=False)\n", - "spec_rebin = nrc_utils.frebin(spec, scale=0.5)\n", + " # Linear fit to determine slope image\n", + " cf = nrc_utils.jl_poly_fit(tvals, ref.data, deg=1)\n", + " slope_list.append(cf[1])\n", + " \n", + "# Create a master averaged slope image\n", + "slopes_all = np.array(slope_list)\n", + "slope_sim = slopes_all.mean(axis=0) * nrc.Detectors[0].gain\n", "\n", - "# Estimate noise per extraction element\n", - "snr_interp = np.interp(wspec_rebin, snr_dict['wave'], snr_dict['snr'])\n", - "_spec_rebin = spec_rebin / snr_interp" + "# Estimate background emissin and subtract from slope_sim\n", + "bg = np.median([slope_sim[:,0:150],slope_sim[:,-150:]])\n", + "slope_sim -= bg\n", + "\n", + "# Shrink to a size without wspec=0\n", + "wspec = nrc_utils.pad_or_cut_to_size(wspec, nx)\n", + "ind = wspec>0\n", + "slope_sim = slope_sim[:,ind]\n", + "wspec = wspec[ind]" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 68, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "# Build a quick RSRF\n", + "# Extract 2 spectral x 5 spatial pixels\n", + "\n", + "# First, cut out the central 5 pixels\n", + "slope_sub = nrc_utils.pad_or_cut_to_size(slope_sim, (5,slope_sim.shape[1]))\n", + "slope_sub_ideal = nrc_utils.pad_or_cut_to_size(imspec, (5,slope_sim.shape[1]))\n", + "\n", + "# Sum along the spatial axis\n", + "spec = slope_sub.sum(axis=0)\n", + "spec_ideal = slope_sub_ideal.sum(axis=0)\n", + "spec_ideal_rebin = nrc_utils.frebin(spec_ideal, scale=0.5, total=False)\n", + "\n", + "# Build a quick RSRF from extracted ideal spectral slope\n", "sp_M9V.convert('mjy')\n", - "rsrf = spec / sp_M9V.sample(wspec*1e4)\n", - "rsrf = nrc_utils.frebin(rsrf, scale=0.5, total=True)\n", + "rsrf = spec_ideal / sp_M9V.sample(wspec*1e4)\n", "\n", - "spec_rebin_cal = spec_rebin / rsrf\n", - "_spec_rebin_cal = _spec_rebin / rsrf" + "# Rebin along spectral direction\n", + "wspec_rebin = nrc_utils.frebin(wspec, scale=0.5, total=False)\n", + "spec_rebin_cal = nrc_utils.frebin(spec/rsrf, scale=0.5, total=False)" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 70, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ - "# Add some random Gaussian noise to the spectrum\n", - "spec_rebin_cal += np.random.normal(scale=_spec_rebin_cal)" + "# Expected noise per extraction element\n", + "snr_interp = np.interp(wspec_rebin, snr_dict['wave'], snr_dict['snr'])\n", + "_spec_rebin = spec_ideal_rebin / snr_interp\n", + "_spec_rebin_cal = _spec_rebin / nrc_utils.frebin(rsrf, scale=0.5, total=False)" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 75, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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dysvLU3Z2tmw2W1eXE/D555/rjTfe0P79+1VcXKz169dr3bp1OnjwoEzT1AMPPKCrrrpK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\n/1hzfMYg1Z40QK9+P1n/vHCYPH36Bo5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riZ7oVkx8A7eMpsgoAjnFhdgUtoawvKP1xrfA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\nmEjDs4iIiIiIif4PYvl+xNQ1+FMAAAAASUVORK5CYII=\n", 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u2rUrGzZsoHfv3nTo0CF0TScFBQXs3LmTefP8ixSffPLJ7Nq1i08++YSvfOUr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daJLI+/U+BBk0kgpYNo7cU55Bfl5nL+gPuwXHKPL0bHQIJ09sjnSmezWe7afi9J9MxMCkQHjlwU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\n0zP2Ij2JQ1CxiOoWMDPNIv0zWfhK8uq9cG+GAq/em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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -694,34 +745,20 @@ } ], "source": [ - "# Overplot the spectrum \n", "fig, ax = plt.subplots(1,1, figsize=(12,8))\n", - "\n", "ax.plot(sp_M9V.wave/1e4, sp_M9V.flux, label='Input Spectrum')\n", - "ax.plot(wspec_rebin, spec_rebin_cal, label='Extracted Observation')\n", - "plt.errorbar(wspec_rebin,spec_rebin_cal, yerr=_spec_rebin_cal, zorder=3,\n", - " fmt='.', label='Error Bars')\n", - "ax.legend(loc='best')\n", + "ax.plot(wspec_rebin, spec_rebin_cal, alpha=0.7, label='Extracted Observation')\n", + "ax.errorbar(wspec_rebin, spec_rebin_cal, yerr=_spec_rebin_cal, zorder=3,\n", + " fmt='none', label='Expected Error Bars', alpha=0.7)\n", "\n", - "xr = np.array([wspec_rebin.min(), wspec_rebin.max()])\n", - "dx = 0.025*(xr[1]-xr[0])\n", - "xr[0] -= dx; xr[1] += dx\n", + "ax.set_ylim([0,15])\n", + "ax.set_xlim([3.7,5.1])\n", "\n", - "yr = np.array([np.min(spec_rebin_cal-_spec_rebin_cal), np.max(spec_rebin_cal+_spec_rebin_cal)])\n", - "dy = 0.05*(yr[1]-yr[0])\n", - "yr[0] -= dy; yr[1] += dy\n", - "yr[0] = np.max([0,yr[0]])\n", - "\n", - "ax.set_xlim(xr)\n", - "ax.set_ylim(yr)\n", "ax.set_xlabel('Wavelength ($\\mu m$)')\n", "ax.set_ylabel('Flux (mJy)')\n", + "ax.set_title('Simulated Spectrum')\n", "\n", - "ax.minorticks_on()\n", - "\n", - "\n", - "#ax.set_xlim([3.6,3.8])\n", - "#ax.set_ylim([5,10])\n" + "ax.legend(loc='upper right');" ] }, { @@ -737,7 +774,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 76, "metadata": { "collapsed": true }, @@ -748,7 +785,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 77, "metadata": { "collapsed": true }, @@ -761,7 +798,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 78, "metadata": { "collapsed": true }, @@ -781,7 +818,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 79, "metadata": { "collapsed": false }, @@ -801,29 +838,29 @@ "SHALLOW4\n", " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", - "BRIGHT1 24 461 16.01 7380.00 7537.02 30730.8 0.499 353.975\n", - "BRIGHT1 24 462 16.01 7396.01 7553.37 30764.1 0.499 353.975\n", - "BRIGHT1 24 463 16.01 7412.01 7569.72 30797.3 0.499 353.975\n", - "BRIGHT1 24 464 16.01 7428.02 7586.07 30830.6 0.499 353.975\n", - "BRIGHT1 24 465 16.01 7444.03 7602.42 30863.8 0.499 353.975\n", - "BRIGHT1 23 481 15.33 7372.50 7536.34 30696.2 0.478 353.593\n", - "BRIGHT1 22 502 14.65 7352.41 7523.39 30633.3 0.457 353.172\n", - "BRIGHT2 23 470 15.67 7363.99 7524.07 30368.7 0.489 350.106\n", - "BRIGHT2 23 471 15.67 7379.66 7540.08 30401.0 0.489 350.106\n", - "BRIGHT2 23 472 15.67 7395.32 7556.09 30433.3 0.489 350.106\n", + "BRIGHT1 23 480 15.33 7357.18 7523.19 30676.7 0.479 353.677\n", + "BRIGHT1 23 481 15.33 7372.50 7538.86 30708.6 0.479 353.677\n", + "BRIGHT1 23 482 15.33 7387.83 7554.54 30740.5 0.479 353.677\n", + "BRIGHT1 23 483 15.33 7403.16 7570.21 30772.4 0.479 353.677\n", + "BRIGHT1 23 484 15.33 7418.49 7585.88 30804.2 0.479 353.677\n", + "BRIGHT2 23 470 15.67 7363.99 7526.54 30381.0 0.490 350.190\n", + "BRIGHT2 23 471 15.67 7379.66 7542.56 30413.3 0.490 350.190\n", + "BRIGHT2 23 472 15.67 7395.32 7558.57 30445.5 0.490 350.190\n", + "BRIGHT2 23 473 15.67 7410.99 7574.58 30477.8 0.490 350.190\n", + "BRIGHT2 23 474 15.67 7426.66 7590.60 30510.0 0.490 350.190\n", "... ... ... ... ... ... ... ... ...\n", - "SHALLOW4 9 495 14.99 7418.49 7587.09 29709.6 0.467 341.081\n", - "MEDIUM8 4 567 12.94 7338.78 7531.91 27536.2 0.404 317.286\n", - "MEDIUM8 4 568 12.94 7351.73 7545.19 27560.5 0.404 317.286\n", - "MEDIUM8 4 569 12.94 7364.67 7558.48 27584.8 0.404 317.286\n", - "MEDIUM8 4 570 12.94 7377.61 7571.76 27609.0 0.404 317.286\n", - "MEDIUM8 4 571 12.94 7390.56 7585.04 27633.2 0.404 317.286\n", - "DEEP8 2 763 9.54 7276.79 7536.68 26070.8 0.297 300.306\n", - "DEEP8 2 764 9.54 7286.33 7546.56 26087.9 0.297 300.306\n", - "DEEP8 2 765 9.54 7295.87 7556.43 26104.9 0.297 300.306\n", - "DEEP8 2 766 9.54 7305.40 7566.31 26122.0 0.297 300.306\n", - "DEEP8 2 767 9.54 7314.94 7576.19 26139.0 0.297 300.306\n", - "Length = 49 rows\n" + "DEEP8 2 766 9.54 7305.40 7570.33 26132.6 0.298 300.347\n", + "DEEP8 2 767 9.54 7314.94 7580.21 26149.6 0.298 300.347\n", + "RAPID 3 5504 1.02 5624.15 7527.72 18987.6 0.032 218.846\n", + "RAPID 3 5505 1.02 5625.17 7529.08 18989.4 0.032 218.846\n", + "RAPID 3 5506 1.02 5626.20 7530.45 18991.1 0.032 218.846\n", + "RAPID 3 5507 1.02 5627.22 7531.82 18992.8 0.032 218.846\n", + "RAPID 2 7322 0.68 4987.89 7520.21 13806.0 0.021 159.203\n", + "RAPID 2 7323 0.68 4988.57 7521.24 13806.9 0.021 159.203\n", + "RAPID 2 7324 0.68 4989.26 7522.27 13807.9 0.021 159.203\n", + "RAPID 2 7325 0.68 4989.94 7523.29 13808.8 0.021 159.203\n", + "RAPID 2 7326 0.68 4990.62 7524.32 13809.7 0.021 159.203\n", + "Length = 54 rows\n" ] } ], @@ -834,7 +871,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 80, "metadata": { "collapsed": false }, @@ -845,24 +882,24 @@ "text": [ " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", - "RAPID 30 714 10.22 7295.87 7539.06 30351.1 0.319 349.555\n", - "RAPID 30 715 10.22 7306.08 7549.62 30372.3 0.319 349.555\n", - "BRIGHT1 24 461 16.01 7380.00 7537.02 30730.8 0.499 353.975\n", - "BRIGHT1 24 462 16.01 7396.01 7553.37 30764.1 0.499 353.975\n", - "BRIGHT2 23 470 15.67 7363.99 7524.07 30368.7 0.489 350.106\n", - "BRIGHT2 23 471 15.67 7379.66 7540.08 30401.0 0.489 350.106\n", - "SHALLOW2 10 461 16.01 7380.00 7537.02 30389.3 0.499 350.042\n", - "SHALLOW2 10 462 16.01 7396.01 7553.37 30422.2 0.499 350.042\n", - "SHALLOW4 9 491 14.99 7358.54 7525.78 29589.3 0.467 341.081\n", - "SHALLOW4 9 492 14.99 7373.53 7541.11 29619.4 0.467 341.081\n", - "MEDIUM2 5 514 14.31 7353.09 7528.16 30210.6 0.446 348.188\n", - "MEDIUM2 5 515 14.31 7367.39 7542.81 30239.9 0.446 348.188\n", - "MEDIUM8 4 567 12.94 7338.78 7531.91 27536.2 0.404 317.286\n", - "MEDIUM8 4 568 12.94 7351.73 7545.19 27560.5 0.404 317.286\n", - "DEEP2 3 514 14.31 7353.09 7528.16 30189.5 0.446 347.945\n", - "DEEP2 3 515 14.31 7367.39 7542.81 30218.8 0.446 347.945\n", - "DEEP8 2 763 9.54 7276.79 7536.68 26070.8 0.297 300.306\n", - "DEEP8 2 764 9.54 7286.33 7546.56 26087.9 0.297 300.306\n" + "RAPID 30 713 10.22 7285.65 7532.24 30342.1 0.319 349.609\n", + "RAPID 30 714 10.22 7295.87 7542.81 30363.4 0.319 349.609\n", + "BRIGHT1 23 480 15.33 7357.18 7523.19 30676.7 0.479 353.677\n", + "BRIGHT1 23 481 15.33 7372.50 7538.86 30708.6 0.479 353.677\n", + "BRIGHT2 23 470 15.67 7363.99 7526.54 30381.0 0.490 350.190\n", + "BRIGHT2 23 471 15.67 7379.66 7542.56 30413.3 0.490 350.190\n", + "SHALLOW2 9 514 14.31 7353.09 7530.86 30254.3 0.447 348.630\n", + "SHALLOW2 9 515 14.31 7367.39 7545.51 30283.7 0.447 348.630\n", + "SHALLOW4 9 491 14.99 7358.54 7528.36 29601.2 0.468 341.161\n", + "SHALLOW4 9 492 14.99 7373.53 7543.69 29631.4 0.468 341.161\n", + "MEDIUM2 5 514 14.31 7353.09 7530.86 30222.8 0.447 348.267\n", + "MEDIUM2 5 515 14.31 7367.39 7545.51 30252.2 0.447 348.267\n", + "MEDIUM8 4 567 12.94 7338.78 7534.89 27547.4 0.405 317.352\n", + "MEDIUM8 4 568 12.94 7351.73 7548.17 27571.7 0.405 317.352\n", + "DEEP2 3 514 14.31 7353.09 7530.86 30201.7 0.447 348.024\n", + "DEEP2 3 515 14.31 7367.39 7545.51 30231.1 0.447 348.024\n", + "DEEP8 2 763 9.54 7276.79 7540.68 26081.3 0.298 300.347\n", + "DEEP8 2 764 9.54 7286.33 7550.56 26098.4 0.298 300.347\n" ] } ], @@ -874,16 +911,16 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 90, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": 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ul6OhoQEqlWWmolqtRktLCwRBgFTa/98g6enpfY5lZmYiKyvLpXb22gSGGTsR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\nF0IIITSIBHYhhBBCg/wvWG6fodBgHKUAAAAASUVORK5CYII=\n", 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OHt6XLx4/OKtt6aj2NjP5X2vt1caYTwDbdBin1OvP6W7ckdK5Hzjn303g+X/F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\nm3Meg4tzb0y3PdZa1lYc4MVVFby0egc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ZNTJjjJfl5+cHch2wT5OhGpm/HnhY66fAkV3h\nHz/0EVw4W7WtohzeHQc7lodep/VtMOilqMd4/vx5SktLQ14utLS0lLS0NBo2bAg4RT6+/fZbFi9e\nzNixY/n6668RkTot9DFy5Ei2bdvGmDFjeOONNy55fNq0aVRUVKCqpKSkkJOTQ35+PhMmTGDr1q20\natWKcePGkZ6eTklJCX379mXIkCG88847bNiwgQ4dOlBcXMzs2bNJTU2NOJZx48Yxf/78S9o/++wz\nXn75ZW6++Wb27NnD5MmT6dy5c8j21q1b8+CDD6KqpKens2XLFqZPn859991XZ8+ZMcbEk/9CZQCv\nv/562HrgnkrgtVY9edfUfhm2b9+Oz+ejrKyMZ555hp49ewYeW7FiBYWFhZSVlbF+/XpSUlICj+Xm\n5jJo0CBGjhzJggULGD9+PFu2bKn1eIK99tpr9OvXj0WLFjF69OhA+8aNGyksLGTdunUA3H333Wza\ntIl77703cOnUvXv38sknnzBr1iyaNGlCUVERx48fZ8yYMXzxxRekpaXh8/lYtGgREydOvKTv06dP\nByqT7dixI+T4RowYwauvvkpmZiaFhYWMHDmS7du3h22fMmUKTz/9NPPmzePIkSO12tVvjDFelVwJ\nvKZvynNuhZMll7Y3bwcPF9Sqa/9v4KFkZ2czePDgkI917dqVPn368Pzzz5OWlhax0EdpaSkPPfQQ\nQKB4yttvvw3AW2+9FXbdlJQU1qxZQ58+fcjIyAi0FxUVVak+1rFjR3bu3MnAgQMDbRkZGTz++OMM\nGTKElJQUZsyYwf79+xER5s2bB8CxY8dCVigDaNy4MXPnzgWcDwOhBI/DP4ZI7UDgSmuhSrkaY8x3\nQXIl8JrclQNrJzi7zf0apDntcZSbm0tWVlaVqmChtGzZkg0bNgAEDgAbPnx4VH20adOGFStWMHTo\nULKysgCnCtrWrVsDy+zbty9QRc3vwIED9OrVi0ceeYSCggJ8Ph/Lly8nNTWVp556iiuvvJLPP/+c\nr776qsYx3HJL6Kpv/mpsLVq0YN++fYEPGeHaAUQkqriNMSZZfbcSeLd/cv7dPA1OHoLmbZ3k7W+P\ngb/i1rlz5wJVwPxWr15NcXExK1eupHXr1mRmVl7Odvbs2RQVFbF582buuusuysrKLlmne/futGvX\nLqZxlZSU8Oabb3LixAl69uxJly5d6N27N1OnTmXbtm0ADBw4kA8//JCpU6eiqvTu3ZsBAwZQUFBA\ncXExCxcu5OGHHyYvL4/bb7+dgwcPMnr0aK6++mrmzJnDxIkTadeuHcXFxeTm5lbpv6Kigvnz51Ne\nXk5eXh6TJ08O/Pa/e/duPvjgA3bt2sWAAQNYsmQJM2fOpFOnTuzdu5fFixcDhGw/e/ZsoJJb9efb\nGGO+S6yYiUk69p4wxiQLK2ZijDHGJBlP7UI/efIkjz76KFD1MHtjjDEmWQTXAweah1suKXahp6en\n20FNBnAuTLRnzx7bhW6MSQpJswv96NGjl7SlpqZSVlaGlz6I+IWKx+viGZOqUlZWVuMFZS5HxAsH\neVSyxZRs8UDyxZRs8UBixOSpb+CNGzfW06dPV2mrqKjg0KFDnDlzJk6jit3hw4dp06ZNvIdRp+Id\nU2pqKm3btqVBgwZ1sr3MzEyq7/XxumSLKdnigeSLKdnigfqLKdI3cE/9Bh5KgwYNaN++fbyHEZNh\nw4Yl3Zs6GWMyxphEVK+70EWko4j8m4hMFpF5IpLjtrcQkX8RkSkiskREWtVVn0EHAiTcOrGItZ9k\niymR44m1r0SOKdniibWvRI4p2eKJta9EjinGfsIexFbfv4G3AN5W1VmqOhH4iYj0AGYA76nqS8B/\nAL+qqw7tDRD7eokcUyLHE2tfiRxTssUTa1+JHFOyxRNrX4kcU4z9XBXugXpN4Kr6kaq+W63/08A9\nwB/ctt+7940xxhgTRtwOYhOR+4H+qjpRRM4CrVT1hIhcCVQADVT1fLV1zgChSk8dBUrDdNUcCFuO\nLc7rtCT8uOuyn1jXS+SYEjmeWPtK5JiSLZ5Y+0rkmJItnlj7SuSYIvXTEghVS/oKVU0LtUJcDmIT\nkR8APwAmuU1fA02BE0Az4Hj15A2gqnV3fpAxxhjjYfWewEXkHuDvgIlAGxG5ASgAegMlwN+6940x\nxhgTRr3uQncPWPtPwH+eUWNgAZAP/BIoBjoCU1T1z/U2MGOMMcZjEu5CLiLSEcgDPgbaAmWqOi3M\nskOBt4Cmqvp/9TfK6EUTjzjXgR3v3r0RuEpVR9TnOC9HlDG1xzmb4CMgA1ihqvn1PdZoiMgVwFrg\nv4AUnA+RI1S1PGiZVJx4vgQ6AS+pauQC7nEUZUw/B1oDh4FMIEdV98RhuDWKJp6gZRN+XoCoXyPP\nzA1RxuOZecFPRNJwYtqkqk9Veyy+84KqJtQfcAfwo6D7nwI9QizXGXgBUKBJvMddm3iAYcA/B93v\nFu9x10FMvwZ+5t6+HdgX73FHiOcK4Nmg++8CQ6stMwV42r19G/C7eI+7DmKaTuWH+B8Da+M97trE\n47Z7Yl64jNfIM3NDlPF4Zl4IGvPLwHLgVyEei+u8kHDXQtfwp5oFiEgj4Gng+focWyyiiQcYCrQQ\nkQkiMgNI2G8NEHVMf6byiMprgR31MbZYqOpFVc0DcM+CaAvsrbZY4FRHVd0FdBeRZvU60MsQTUyq\n+py6Mw/Oa5iw77to4vHSvABRv+88MzdEGY9n5gUAERmGc2rzgTCLxHVeSLgEHsw91WyjXrpb7wVg\nmqqei8OwYhYhnhuAZqr6CrAM2CAi36vv8cUiQkyzgb8RkdlADrC03gd3mUTkH4B1wDpVrX492L8C\nvgm6f8ptS2g1xORfJgX4KfBsfY4tFjXE49V5IVJMnpsbaojHM/OCiHQBOqvqmgiLxXVeSNgEHnSq\n2c+qtbcDrgZ+LCJT3OYnRCTkxd4TRbh4XKdwfmNBnd9PmgHt6m90sakhpmXAYlV9ArgfWCkiLepx\neJdNVTeq6j8C7UVkTLWH/ac6+jVz2xJaDTH5k/evgWdU9fN6H+BlChePV+cFqPE18tzcUEM8y/DO\nvHA/cMZ9P2UBPUVkUrVl4jovJGQxkzCnmu0FzqtqCTA8aNkXgdma2AerRIrnFLAZ6OAu2wz4HnAk\nTsONShQxtcM5OArgOHCRBP3A6H7Sbq+q/tMXDwAd3InFH4//VMffichtwE63PSFFE5O7y3kBzm97\nfxSRB1R1dbzGHEkU8XhxXojmfeeZuSHKeDwzL6jqC/7b7sFqTVR1biLNC4l4FHq4U826AMfUuV46\nInItMBrnQJzpwCJV/bL+RxxZNPGISHNgJpWn0a1W1d/GY7zRiDKmLJwL9XwMtAd2qOrCeIy3Ju5R\n9bNwxtoA50CoCcATVMaThnO06WHgJmCGJvZR6NHEtAa4FfjKXa2xqt4Rj/HWJJp43OU8MS9A1K+R\nZ+aGKOPxzLzgJyIPAGNxjqxfgHPwXULMCwmXwI0xxhhTs4TcdWGMMcaYyCyBG2OMMR5kCdwYY4zx\nIEvgxhhjjAdZAjfGGGM8yBK4McYY40GWwI0xxhgPsgRujImruri2d6JfH9yYvwRL4MbEiYjMFpHj\nIvKQe7+ziBxxa0AjIj8XkU0icmMd9DVURI7Xdjthtj0p6PY9InIgmjGLSCMRmQvUxbWw24rITLcK\nljHfCZbAjYmfycAF4D33/t04ZVn9lzPdg1Nd60+17UhV/xU4WdvthBFI4O51sIujXO8VYI2qHgUQ\nka0iku7evkZEdru3/11E5ovINhEpFpEsEXlTRP5XRJa4/RYDHwK+ugvLmMRmn1aNiRNVvSAiG3Fq\nCi8BrgN+AwwGCoFewLMi0gRYCXwA3AKsALa6/94CDAPOA8txSmp+H+f/9gXgG1WdGap/EZkWvBxw\nFHgRWIRTxrIDMNhfnEFEXsG5xvWXwCBgH7AFuEpEfMAeVX3b3fxw91t4e+CH1Qs8uDHdA4wKar4J\n8F9Huhuwy719G/AHVR0nIr9wn6v+7ngPiUhDVT0LrAcWiEiOql4MFbMxycS+gRsTX+uAwW7RihM4\n1Y0Gu4+Jql7Aqdg0R1V/CTwFvKiq53GSX3OcpPcnnARfDvRS1V+o6nPA3SKSUb1Tt2ZzleWA/8H5\n1r9dVYfjJNAB7vL3AJ1U9XFVzQMUWKaqvwFOqKovKHkD/L76NqrpiFMQQt3t3wB8GZR4uwFFbhWo\nq4C5brsCS1T1sPscXADOAahqOU61rlYRnm9jkoZ9Azcmvjbg1OP+IbAR2AG0dhOs/xuoAP1FpDdQ\nAVwLoKonRWQ98BOgIfAW8PdAo6Ca2CX+5avpFmE5/7fgo1TWOu6K843b74sa4trv/ltK1XrJfg1x\n9hr4dQeKgu73wNnr0BX4OCixd8d5vhCRtsBX/g8BrgogrYaxGZMULIEbE0eqelxEioBxQB9VVTcp\nvwz0cxd7BPhrVR0hIinAY0GbmA8sA/5bVRe55TR7B5XXvJPKZBpsZ4TlQpUo/BS4M+h+h6DbF9wD\n77qp6s4I2whWQtWD1zKAVHcsnYAfAc+6fe4MWq4blYm+StJ3x9CEyvKoxiQ1S+DGxN86oGvQt8wC\nIF1Vy9z7G4EhIjILOAY0F5EHVHW1qv5RRL4B3gdQ1U0i0lNEXsT5XftqYIqIDHXXe0xVF4ZZ7j2c\n375HiMgyoC9wm4gUuGMaJCKv4yT6s1Qm6QKcmsiIyIZw2/AfrOaO87CIfCki17n1ursDZ0RkJ05S\n/hT4Kc7u80J326lAmqr6j6YPTua429iqqmcu/yUwxnusHrgxJioicoeqfuTe3gw8rKoHa7G97jh7\nHh7D+e39+6r6TYzbSgVeB56ri6P2jfECS+DGmKiIyG9xDpR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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -935,7 +972,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 91, "metadata": { "collapsed": true }, @@ -950,59 +987,7 @@ }, { "cell_type": "code", - "execution_count": 30, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "BRIGHT1\n", - "BRIGHT2\n", - "DEEP2\n", - "DEEP8\n", - "MEDIUM2\n", - "MEDIUM8\n", - "RAPID\n", - "SHALLOW2\n", - "SHALLOW4\n", - " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", - "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", - "MEDIUM8 10 8 1052.20 8417.63 8503.52 9.8 0.000 0.106\n", - "MEDIUM8 9 9 944.84 8503.52 8600.15 9.8 0.000 0.106\n", - "MEDIUM8 9 10 944.84 9448.36 9555.73 10.4 0.000 0.106\n", - "MEDIUM8 10 9 1052.20 9469.83 9566.46 10.4 0.000 0.106\n", - "MEDIUM8 9 11 944.84 10393.19 10511.30 10.9 0.000 0.106\n", - "MEDIUM8 10 10 1052.20 10522.03 10629.40 11.0 0.000 0.106\n", - "DEEP8 8 5 1589.04 7945.21 7998.89 9.4 0.000 0.105\n", - "DEEP8 7 6 1374.31 8245.84 8310.26 9.6 0.000 0.105\n", - "MEDIUM8 8 11 837.47 9212.15 9330.25 10.2 0.000 0.105\n", - "DEEP8 6 8 1159.57 9276.57 9362.46 10.2 0.000 0.105\n", - "... ... ... ... ... ... ... ... ...\n", - "BRIGHT1 10 46 204.00 9383.94 9877.83 6.4 0.000 0.063\n", - "BRIGHT1 10 47 204.00 9587.94 10092.56 6.4 0.000 0.063\n", - "BRIGHT1 10 48 204.00 9791.93 10307.30 6.5 0.000 0.063\n", - "BRIGHT1 10 49 204.00 9995.93 10522.03 6.6 0.000 0.063\n", - "BRIGHT1 8 56 161.05 9018.89 9620.15 5.3 0.000 0.054\n", - "RAPID 10 83 107.37 8911.52 9802.67 4.7 0.000 0.046\n", - "RAPID 10 84 107.37 9018.89 9920.78 4.7 0.000 0.046\n", - "RAPID 10 85 107.37 9126.25 10038.88 4.7 0.000 0.046\n", - "RAPID 10 86 107.37 9233.62 10156.98 4.7 0.000 0.046\n", - "RAPID 10 87 107.37 9340.99 10275.09 4.8 0.000 0.046\n", - "RAPID 9 91 96.63 8793.41 9770.46 4.2 0.000 0.042\n", - "Length = 71 rows\n" - ] - } - ], - "source": [ - "res = nrc.ramp_optimize(sp, is_extended=True, tacq_max=10000, tacq_frac=0.05, verbose=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 47, + "execution_count": 92, "metadata": { "collapsed": false }, @@ -1022,28 +1007,28 @@ "SHALLOW4\n", " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", - "MEDIUM8 10 8 1052.20 8417.63 8503.52 9.8 0.000 0.106\n", - "MEDIUM8 9 9 944.84 8503.52 8600.15 9.8 0.000 0.106\n", + "MEDIUM8 10 8 1052.20 8417.63 8503.53 9.8 0.000 0.106\n", + "MEDIUM8 9 9 944.84 8503.52 8600.16 9.8 0.000 0.106\n", "MEDIUM8 9 10 944.84 9448.36 9555.73 10.4 0.000 0.106\n", - "MEDIUM8 10 9 1052.20 9469.83 9566.46 10.4 0.000 0.106\n", + "MEDIUM8 10 9 1052.20 9469.83 9566.47 10.4 0.000 0.106\n", "MEDIUM8 9 11 944.84 10393.19 10511.30 10.9 0.000 0.106\n", - "MEDIUM8 10 10 1052.20 10522.03 10629.40 11.0 0.000 0.106\n", - "DEEP8 8 5 1589.04 7945.21 7998.89 9.4 0.000 0.105\n", - "DEEP8 7 6 1374.31 8245.84 8310.26 9.6 0.000 0.105\n", - "MEDIUM8 8 11 837.47 9212.15 9330.25 10.2 0.000 0.105\n", - "DEEP8 6 8 1159.57 9276.57 9362.46 10.2 0.000 0.105\n", + "MEDIUM8 10 10 1052.20 10522.03 10629.41 11.0 0.000 0.106\n", + "DEEP8 8 5 1589.04 7945.21 7998.90 9.4 0.000 0.105\n", + "DEEP8 7 6 1374.31 8245.84 8310.27 9.6 0.000 0.105\n", + "MEDIUM8 8 11 837.47 9212.15 9330.26 10.2 0.000 0.105\n", + "DEEP8 6 8 1159.57 9276.57 9362.47 10.2 0.000 0.105\n", "... ... ... ... ... ... ... ... ...\n", "BRIGHT1 10 46 204.00 9383.94 9877.83 6.4 0.000 0.063\n", - "BRIGHT1 10 47 204.00 9587.94 10092.56 6.4 0.000 0.063\n", + "BRIGHT1 10 47 204.00 9587.94 10092.57 6.4 0.000 0.063\n", "BRIGHT1 10 48 204.00 9791.93 10307.30 6.5 0.000 0.063\n", - "BRIGHT1 10 49 204.00 9995.93 10522.03 6.6 0.000 0.063\n", + "BRIGHT1 10 49 204.00 9995.93 10522.04 6.6 0.000 0.063\n", "BRIGHT1 8 56 161.05 9018.89 9620.15 5.3 0.000 0.054\n", - "RAPID 10 83 107.37 8911.52 9802.67 4.7 0.000 0.046\n", + "RAPID 10 83 107.37 8911.52 9802.68 4.7 0.000 0.046\n", "RAPID 10 84 107.37 9018.89 9920.78 4.7 0.000 0.046\n", - "RAPID 10 85 107.37 9126.25 10038.88 4.7 0.000 0.046\n", - "RAPID 10 86 107.37 9233.62 10156.98 4.7 0.000 0.046\n", + "RAPID 10 85 107.37 9126.25 10038.89 4.7 0.000 0.046\n", + "RAPID 10 86 107.37 9233.62 10156.99 4.7 0.000 0.046\n", "RAPID 10 87 107.37 9340.99 10275.09 4.8 0.000 0.046\n", - "RAPID 9 91 96.63 8793.41 9770.46 4.2 0.000 0.042\n", + "RAPID 9 91 96.63 8793.41 9770.47 4.2 0.000 0.042\n", "Length = 71 rows\n" ] } @@ -1054,7 +1039,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 93, "metadata": { "collapsed": false, "scrolled": true @@ -1082,7 +1067,7 @@ " t_int : 1052.203\n", " t_int_tot : 1062.940\n", " t_exp : 10522.035\n", - " t_acq : 10629.402\n" + " t_acq : 10629.408\n" ] } ], @@ -1093,15 +1078,15 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 94, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# Calculate flux/mag for various nsigma detection limits\n", - "tbl = Table(names=('Sigma', 'Source (nJy)', 'Extended (nJy/asec^2)', \n", - " 'Source (AB Mag)', 'Extended (AB Mag/asec^2)'))\n", + "tbl = Table(names=('Sigma', 'Point (nJy)', 'Extended (nJy/asec^2)', \n", + " 'Point (AB Mag)', 'Extended (AB Mag/asec^2)'))\n", "tbl['Sigma'].format = '.0f'\n", "for k in tbl.keys()[1:]:\n", " tbl[k].format = '.2f'\n", @@ -1115,7 +1100,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 96, "metadata": { "collapsed": false }, @@ -1124,13 +1109,13 @@ "data": { "text/html": [ "<Table length=4>\n", - "\n", + "
\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", "
SigmaSource (nJy)Extended (nJy/asec^2)Source (AB Mag)Extended (AB Mag/asec^2)
float64float64float64float64float64
10.9232.3131.5027.63
32.7697.3630.3026.43
54.63163.0029.7425.87
109.40329.7128.9725.10
10.9132.3131.5027.63
32.7597.3630.3026.43
54.61163.0029.7425.87
109.37329.7128.9725.10
" ], "text/plain": [ @@ -1138,13 +1123,13 @@ " Sigma Source (nJy) ... Source (AB Mag) Extended (AB Mag/asec^2)\n", "float64 float64 ... float64 float64 \n", "------- ------------ ... --------------- ------------------------\n", - " 1 0.92 ... 31.50 27.63\n", - " 3 2.76 ... 30.30 26.43\n", - " 5 4.63 ... 29.74 25.87\n", - " 10 9.40 ... 28.97 25.10" + " 1 0.91 ... 31.50 27.63\n", + " 3 2.75 ... 30.30 26.43\n", + " 5 4.61 ... 29.74 25.87\n", + " 10 9.37 ... 28.97 25.10" ] }, - "execution_count": 63, + "execution_count": 96, "metadata": {}, "output_type": "execute_result" } diff --git a/notebooks/Example_SatLimits_Coronagraph.ipynb b/notebooks/Example_SatLimits_Coronagraph.ipynb index 6012e99e..97c3999e 100644 --- a/notebooks/Example_SatLimits_Coronagraph.ipynb +++ b/notebooks/Example_SatLimits_Coronagraph.ipynb @@ -157,6 +157,58 @@ "## MASK210R Saturation Limits" ] }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SUB640\n", + "K-Band saturation magnitudes\n", + "\n", + "Filter M5V G2V A0V\n", + "F140M 1.77 2.28 2.48\n", + "F182M 2.72 2.68 2.69\n", + "F210M 2.38 2.33 2.34\n", + "F070W 0.08 2.59 3.59\n", + "F090W 2.00 3.35 4.00\n", + "F115W 2.70 3.65 4.13\n", + "F150W 3.01 3.33 3.43\n", + "F150W2 3.67 4.07 4.36\n", + "F200W 3.26 3.21 3.22\n", + "\n", + "Full Frame\n", + "K-Band saturation magnitudes\n", + "\n", + "Filter M5V G2V A0V\n", + "F140M 2.80 3.30 3.50\n", + "F182M 3.74 3.70 3.72\n", + "F210M 3.40 3.35 3.36\n", + "F070W 1.10 3.61 4.61\n", + "F090W 3.03 4.37 5.02\n", + "F115W 3.73 4.68 5.16\n", + "F150W 4.03 4.36 4.45\n", + "F150W2 4.70 5.10 5.39\n", + "F200W 4.28 4.24 4.25\n", + "\n" + ] + } + ], + "source": [ + "nrc = pynrc.NIRCam('F210M', mask='MASK210R', pupil='CIRCLYOT', oversample=2,\n", + " wind_mode='WINDOW', xpix=640, ypix=640, read_mode='RAPID', ngroup=2)\n", + "filt_all = filt_med_sw + filt_wide_sw\n", + "code_block()\n", + "\n", + "nrc.update_detectors(wind_mode='FULL', xpix=2048, ypix=2048)\n", + "code_block()" + ] + }, { "cell_type": "code", "execution_count": 7, diff --git a/notebooks/Example_SatLimits_Imaging.ipynb b/notebooks/Example_SatLimits_Imaging.ipynb index aa3d922f..4dde627d 100644 --- a/notebooks/Example_SatLimits_Imaging.ipynb +++ b/notebooks/Example_SatLimits_Imaging.ipynb @@ -34,8 +34,6 @@ }, "outputs": [], "source": [ - "## Standard imports\n", - "\n", "# Makes print and division act like Python 3\n", "from __future__ import print_function, division\n", "\n", @@ -46,24 +44,15 @@ "\n", "# Enable inline plotting at lower left\n", "%matplotlib inline\n", - "matplotlib.rcParams['image.origin'] = 'lower'\n", - "matplotlib.rcParams['image.interpolation'] = 'none'\n", "\n", - "# seaborn package for making pretty plots, but not necessary\n", - "try:\n", - " import seaborn as sns\n", - " params = {'xtick.direction': 'in', 'ytick.direction': 'in', 'font.family': ['serif'],\n", - " 'text.usetex': True, 'text.latex.preamble': ['\\usepackage{gensymb}']}\n", - " sns.set_style(\"ticks\", params)\n", - "except ImportError:\n", - " print('Seaborn module is not installed. Not strictly required, but is a useful package!')\n", - " \n", - "from IPython.display import display, Latex, clear_output" + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages\n", + "import matplotlib.patches as patches" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 2, "metadata": { "collapsed": true }, @@ -72,7 +61,7 @@ "# pyNRC and associates\n", "import pynrc\n", "from pynrc import nrc_utils\n", - "from pynrc.nrc_utils import (webbpsf, poppy, pix_noise, S)\n", + "from pynrc.nrc_utils import S\n", "from astropy.table import Table\n", "\n", "pynrc.setup_logging('WARNING', verbose=False)" @@ -80,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "metadata": { "collapsed": true }, @@ -103,7 +92,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 4, "metadata": { "collapsed": true }, @@ -112,17 +101,21 @@ "# NIRCam readout modes\n", "full = {'wind_mode':'FULL', 'xpix':2048, 'ypix':2048}\n", "# Window subarrays\n", + "sub32 = {'wind_mode':'WINDOW', 'xpix':32, 'ypix':32}\n", "sub64 = {'wind_mode':'WINDOW', 'xpix':64, 'ypix':64}\n", "sub160 = {'wind_mode':'WINDOW', 'xpix':160, 'ypix':160}\n", "sub320 = {'wind_mode':'WINDOW', 'xpix':320, 'ypix':320}\n", "sub400 = {'wind_mode':'WINDOW', 'xpix':400, 'ypix':400}\n", "sub640 = {'wind_mode':'WINDOW', 'xpix':640, 'ypix':640}\n", "# Stripe subarrays\n", + "stp16 = {'wind_mode':'STRIPE', 'xpix':2048, 'ypix':16}\n", + "stp32 = {'wind_mode':'STRIPE', 'xpix':2048, 'ypix':32}\n", "stp64 = {'wind_mode':'STRIPE', 'xpix':2048, 'ypix':64}\n", "stp128 = {'wind_mode':'STRIPE', 'xpix':2048, 'ypix':128}\n", "stp256 = {'wind_mode':'STRIPE', 'xpix':2048, 'ypix':256}\n", "\n", - "subarray_settings = [full, sub64, sub160, sub320, sub400, sub640, stp64, stp128, stp256]\n", + "subarray_settings = [full, sub32, sub64, sub160, sub320, sub400, sub640, \n", + " stp16, stp32, stp64, stp128, stp256]\n", "\n", "# Header names for each readout mode\n", "head = []\n", @@ -143,7 +136,28 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 11, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [], + "source": [ + "nfilt = len(filt_all)\n", + "nsub = len(subarray_settings)\n", + "sat_lims = np.zeros([nfilt,nsub])\n", + "\n", + "# We want the K-Band limiting magnitude for a G2V star\n", + "sp = nrc_utils.stellar_spectrum('G2V')\n", + "bp_lim = S.ObsBandpass('johnson,k')\n", + "bp_lim.name = 'K-Band'\n", + "\n", + "tbls_dict = {}" + ] + }, + { + "cell_type": "code", + "execution_count": 13, "metadata": { "collapsed": false }, @@ -155,118 +169,145 @@ "Module A \n", "K-Band saturation magnitudes assuming G2V star\n", "\n", - "Filter FULL SUB64 SUB160 SUB320 SUB400 SUB640 STRP64 STRP128 STRP256\n", - "F070W 14.92 9.09 10.95 12.41 12.89 13.89 11.17 11.91 12.66\n", - "F090W 15.64 9.81 11.68 13.14 13.61 14.62 11.89 12.64 13.39\n", - "F115W 15.71 9.89 11.75 13.21 13.69 14.69 11.97 12.71 13.46\n", - "F150W 15.62 9.79 11.65 13.11 13.59 14.59 11.87 12.61 13.36\n", - "F150W2 16.86 11.03 12.90 14.36 14.83 15.84 13.11 13.86 14.61\n", - "F200W 15.06 9.23 11.09 12.55 13.03 14.04 11.31 12.06 12.80\n", - "F140M 14.86 9.03 10.89 12.35 12.83 13.83 11.11 11.85 12.60\n", - "F162M 14.64 8.81 10.67 12.13 12.61 13.62 10.89 11.64 12.38\n", - "F182M 14.60 8.78 10.64 12.10 12.57 13.58 10.86 11.60 12.35\n", - "F210M 13.93 8.10 9.97 11.43 11.90 12.91 10.18 10.93 11.68\n", - "F164N 12.24 6.41 8.28 9.74 10.21 11.22 8.49 9.24 9.99\n", - "F187N 11.94 6.11 7.97 9.43 9.91 10.92 8.19 8.94 9.68\n", - "F212N 11.66 5.84 7.70 9.16 9.63 10.64 7.92 8.66 9.41\n", - "F277W 15.49 9.67 11.53 12.99 13.46 14.47 11.75 12.49 13.24\n", - "F322W2 15.87 10.04 11.90 13.36 13.84 14.84 12.12 12.86 13.61\n", - "F356W 14.62 8.80 10.66 12.12 12.59 13.60 10.88 11.62 12.37\n", - "F444W 13.82 8.00 9.86 11.32 11.79 12.80 10.08 10.82 11.57\n", - "F250M 14.37 8.54 10.40 11.86 12.34 13.34 10.62 11.36 12.11\n", - "F300M 14.17 8.34 10.20 11.66 12.14 13.15 10.42 11.17 11.91\n", - "F335M 13.91 8.09 9.95 11.41 11.89 12.89 10.17 10.91 11.66\n", - "F360M 13.67 7.84 9.71 11.17 11.64 12.65 9.92 10.67 11.42\n", - "F410M 13.26 7.44 9.30 10.76 11.23 12.24 9.52 10.26 11.01\n", - "F430M 12.23 6.41 8.27 9.73 10.21 11.21 8.49 9.23 9.98\n", - "F460M 11.67 5.84 7.70 9.16 9.64 10.65 7.92 8.67 9.41\n", - "F480M 11.55 5.73 7.59 9.05 9.52 10.53 7.81 8.55 9.30\n", - "F323N 11.24 5.42 7.28 8.74 9.21 10.22 7.50 8.24 8.99\n", - "F405N 10.57 4.74 6.60 8.06 8.54 9.54 6.82 7.56 8.31\n", - "F466N 9.78 3.95 5.82 7.28 7.75 8.76 6.03 6.78 7.53\n", - "F470N 9.57 3.75 5.61 7.07 7.54 8.55 5.83 6.57 7.32\n", - "\n", + "Filter FULL SUB32 SUB64 SUB160 SUB320 SUB400 SUB640 STRP16 STRP32 STRP64 STRP128 STRP256\n", + "F070W 14.95 7.81 9.13 10.99 12.45 12.92 13.93 9.75 10.47 11.21 11.95 12.70\n", + "F090W 15.66 8.52 9.84 11.70 13.16 13.63 14.64 10.46 11.18 11.92 12.66 13.41\n", + "F115W 15.73 8.59 9.90 11.76 13.22 13.70 14.71 10.53 11.25 11.98 12.73 13.48\n", + "F150W 15.63 8.49 9.80 11.66 13.12 13.60 14.60 10.42 11.14 11.88 12.62 13.37\n", + "F150W2 16.87 9.73 11.04 12.91 14.37 14.84 15.85 11.67 12.39 13.12 13.87 14.62\n", + "F200W 15.06 7.92 9.24 11.10 12.56 13.03 14.04 9.86 10.58 11.32 12.06 12.81\n", + "F140M 14.87 7.73 9.04 10.90 12.36 12.84 13.84 9.66 10.38 11.12 11.86 12.61\n", + "F162M 14.65 7.51 8.82 10.68 12.14 12.62 13.62 9.44 10.16 10.90 11.64 12.39\n", + "F182M 14.61 7.47 8.78 10.65 12.11 12.58 13.59 9.41 10.13 10.86 11.61 12.36\n", + "F210M 13.93 6.79 8.11 9.97 11.43 11.91 12.91 8.73 9.45 10.19 10.93 11.68\n", + "F164N 12.25 5.11 6.42 8.28 9.74 10.22 11.22 7.04 7.76 8.50 9.24 9.99\n", + "F187N 11.94 4.80 6.12 7.98 9.44 9.91 10.92 6.74 7.46 8.20 8.94 9.69\n", + "F212N 11.67 4.53 5.84 7.70 9.16 9.64 10.64 6.46 7.18 7.92 8.66 9.41\n", + "F277W 15.50 8.36 9.67 11.53 12.99 13.47 14.47 10.29 11.01 11.75 12.49 13.24\n", + "F322W2 15.87 8.73 10.04 11.90 13.36 13.84 14.85 10.67 11.39 12.12 12.87 13.62\n", + "F356W 14.63 7.49 8.80 10.66 12.12 12.60 13.60 9.42 10.14 10.88 11.62 12.37\n", + "F444W 13.82 6.68 8.00 9.86 11.32 11.80 12.80 8.62 9.34 10.08 10.82 11.57\n", + "F250M 14.37 7.23 8.54 10.40 11.86 12.34 13.35 9.17 9.89 10.62 11.37 12.12\n", + "F300M 14.17 7.03 8.34 10.21 11.67 12.14 13.15 8.97 9.69 10.42 11.17 11.92\n", + "F335M 13.92 6.78 8.09 9.95 11.41 11.89 12.89 8.71 9.43 10.17 10.91 11.66\n", + "F360M 13.67 6.53 7.85 9.71 11.17 11.64 12.65 8.47 9.19 9.93 10.67 11.42\n", + "F410M 13.26 6.12 7.44 9.30 10.76 11.23 12.24 8.06 8.78 9.52 10.26 11.01\n", + "F430M 12.24 5.10 6.41 8.27 9.73 10.21 11.21 7.03 7.75 8.49 9.23 9.98\n", + "F460M 11.67 4.53 5.84 7.71 9.17 9.64 10.65 6.47 7.19 7.92 8.67 9.42\n", + "F480M 11.55 4.41 5.73 7.59 9.05 9.52 10.53 6.35 7.07 7.81 8.55 9.30\n", + "F323N 11.25 4.11 5.42 7.28 8.74 9.22 10.22 6.04 6.76 7.50 8.24 8.99\n", + "F405N 10.57 3.43 4.74 6.60 8.06 8.54 9.55 5.37 6.09 6.82 7.57 8.31\n", + "F466N 9.78 2.64 3.95 5.82 7.28 7.75 8.76 4.58 5.30 6.03 6.78 7.53\n", + "F470N 9.57 2.43 3.75 5.61 7.07 7.54 8.55 4.37 5.09 5.83 6.57 7.32\n", + "\n" + ] + } + ], + "source": [ + "# Module A\n", + "mod = 'A'\n", + "\n", + "print('Module {} \\n{} saturation magnitudes assuming {} star\\n'.format(mod,bp_lim.name, sp.name))\n", + "print('{:<6}'.format('Filter') + ' '.join('{:>7}'.format(t) for t in head2))\n", + "for i,filt in enumerate(filt_all):\n", + " for j,subset in enumerate(subarray_settings):\n", + " nrc = pynrc.NIRCam(filt, read_mode='RAPID', ngroup=2, module=mod, **subset)\n", + " lim = nrc.sat_limits(sp=sp, bp_lim=bp_lim, units='vegamag')\n", + " sat_lims[i,j] = lim['satmag']\n", + " print('{:<6}'.format(filt) + ' '.join('{: 7.2f}'.format(s) for s in sat_lims[i,:]))\n", + "\n", + "print(\"\")\n", + "# Create astropy Table to hold data\n", + "tbl = Table(sat_lims, names=head)\n", + "for k in tbl.keys():\n", + " tbl[k].format = '6.2f'\n", + "\n", + "# Add filter column and reorder to front\n", + "tbl['Filter'] = filt_all\n", + "col_order = ['Filter'] + head\n", + "tbl = tbl[col_order]\n", + "\n", + "tbls_dict[mod] = tbl" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ "Module B \n", "K-Band saturation magnitudes assuming G2V star\n", "\n", - "Filter FULL SUB64 SUB160 SUB320 SUB400 SUB640 STRP64 STRP128 STRP256\n", - "F070W 14.89 9.07 10.93 12.39 12.86 13.87 11.15 11.89 12.64\n", - "F090W 15.67 9.84 11.70 13.16 13.64 14.64 11.92 12.66 13.41\n", - "F115W 15.70 9.87 11.73 13.19 13.67 14.68 11.95 12.70 13.44\n", - "F150W 15.61 9.79 11.65 13.11 13.58 14.59 11.87 12.61 13.36\n", - "F150W2 16.86 11.03 12.89 14.35 14.83 15.84 13.11 13.86 14.60\n", - "F200W 15.05 9.22 11.09 12.55 13.02 14.03 11.30 12.05 12.80\n", - "F140M 14.86 9.04 10.90 12.36 12.83 13.84 11.12 11.86 12.61\n", - "F162M 14.64 8.81 10.68 12.14 12.61 13.62 10.89 11.64 12.39\n", - "F182M 14.60 8.78 10.64 12.10 12.57 13.58 10.86 11.60 12.35\n", - "F210M 13.91 8.09 9.95 11.41 11.88 12.89 10.17 10.91 11.66\n", - "F164N 12.24 6.42 8.28 9.74 10.22 11.22 8.50 9.24 9.99\n", - "F187N 11.93 6.11 7.97 9.43 9.90 10.91 8.19 8.93 9.68\n", - "F212N 11.64 5.81 7.67 9.13 9.61 10.62 7.89 8.64 9.39\n", - "F277W 15.33 9.50 11.36 12.82 13.30 14.31 11.58 12.33 13.08\n", - "F322W2 15.84 10.02 11.88 13.34 13.81 14.82 12.10 12.84 13.59\n", - "F356W 14.63 8.80 10.66 12.12 12.60 13.60 10.88 11.62 12.37\n", - "F444W 13.92 8.10 9.96 11.42 11.90 12.90 10.18 10.92 11.67\n", - "F250M 14.27 8.44 10.30 11.76 12.24 13.24 10.52 11.26 12.01\n", - "F300M 14.09 8.27 10.13 11.59 12.07 13.07 10.35 11.09 11.84\n", - "F335M 13.80 7.98 9.84 11.30 11.78 12.78 10.06 10.80 11.55\n", - "F360M 13.64 7.82 9.68 11.14 11.61 12.62 9.90 10.64 11.39\n", - "F410M 13.25 7.42 9.28 10.74 11.22 12.22 9.50 10.25 10.99\n", - "F430M 12.34 6.51 8.38 9.84 10.31 11.32 8.59 9.34 10.09\n", - "F460M 11.76 5.93 7.80 9.26 9.73 10.74 8.01 8.76 9.51\n", - "F480M 11.95 6.13 7.99 9.45 9.92 10.93 8.21 8.95 9.70\n", - "F323N 11.24 5.41 7.28 8.74 9.21 10.22 7.49 8.24 8.99\n", - "F405N 10.71 4.88 6.74 8.20 8.68 9.68 6.96 7.70 8.45\n", - "F466N 9.87 4.05 5.91 7.37 7.84 8.85 6.13 6.87 7.62\n", - "F470N 9.70 3.87 5.74 7.19 7.67 8.68 5.95 6.70 7.45\n", + "Filter FULL SUB32 SUB64 SUB160 SUB320 SUB400 SUB640 STRP16 STRP32 STRP64 STRP128 STRP256\n", + "F070W 14.93 7.79 9.10 10.96 12.42 12.90 13.90 9.72 10.44 11.18 11.92 12.67\n", + "F090W 15.69 8.55 9.86 11.72 13.18 13.66 14.67 10.49 11.21 11.94 12.69 13.43\n", + "F115W 15.71 8.57 9.89 11.75 13.21 13.68 14.69 10.51 11.23 11.97 12.71 13.46\n", + "F150W 15.62 8.48 9.79 11.66 13.12 13.59 14.60 10.42 11.14 11.87 12.62 13.37\n", + "F150W2 16.87 9.73 11.04 12.90 14.36 14.84 15.85 11.67 12.39 13.12 13.87 14.61\n", + "F200W 15.06 7.92 9.23 11.09 12.55 13.03 14.03 9.85 10.57 11.31 12.05 12.80\n", + "F140M 14.87 7.73 9.05 10.91 12.37 12.84 13.85 9.67 10.39 11.13 11.87 12.62\n", + "F162M 14.65 7.51 8.82 10.68 12.14 12.62 13.62 9.44 10.17 10.90 11.65 12.39\n", + "F182M 14.61 7.47 8.78 10.64 12.10 12.58 13.59 9.41 10.13 10.86 11.61 12.36\n", + "F210M 13.92 6.78 8.09 9.95 11.41 11.89 12.89 8.71 9.43 10.17 10.91 11.66\n", + "F164N 12.25 5.11 6.43 8.29 9.75 10.22 11.23 7.05 7.77 8.51 9.25 10.00\n", + "F187N 11.94 4.80 6.11 7.97 9.43 9.91 10.92 6.74 7.46 8.19 8.94 9.69\n", + "F212N 11.64 4.50 5.82 7.68 9.14 9.61 10.62 6.44 7.16 7.90 8.64 9.39\n", + "F277W 15.33 8.19 9.51 11.37 12.83 13.30 14.31 10.13 10.85 11.59 12.33 13.08\n", + "F322W2 15.85 8.71 10.02 11.88 13.34 13.82 14.82 10.64 11.36 12.10 12.84 13.59\n", + "F356W 14.63 7.49 8.80 10.66 12.12 12.60 13.61 9.43 10.15 10.88 11.63 12.37\n", + "F444W 13.93 6.79 8.10 9.96 11.42 11.90 12.90 8.72 9.44 10.18 10.92 11.67\n", + "F250M 14.27 7.13 8.44 10.30 11.76 12.24 13.25 9.07 9.79 10.52 11.27 12.01\n", + "F300M 14.10 6.96 8.27 10.13 11.59 12.07 13.07 8.89 9.61 10.35 11.09 11.84\n", + "F335M 13.81 6.67 7.98 9.84 11.30 11.78 12.78 8.60 9.32 10.06 10.80 11.55\n", + "F360M 13.65 6.51 7.82 9.68 11.14 11.62 12.62 8.44 9.16 9.90 10.64 11.39\n", + "F410M 13.25 6.11 7.42 9.28 10.74 11.22 12.23 8.05 8.77 9.50 10.25 10.99\n", + "F430M 12.34 5.20 6.51 8.38 9.84 10.31 11.32 7.14 7.86 8.59 9.34 10.09\n", + "F460M 11.76 4.62 5.93 7.80 9.26 9.73 10.74 6.56 7.28 8.01 8.76 9.51\n", + "F480M 11.95 4.81 6.13 7.99 9.45 9.92 10.93 6.75 7.47 8.21 8.95 9.70\n", + "F323N 11.24 4.10 5.42 7.28 8.74 9.21 10.22 6.04 6.76 7.50 8.24 8.99\n", + "F405N 10.71 3.57 4.88 6.74 8.20 8.68 9.68 5.50 6.22 6.96 7.70 8.45\n", + "F466N 9.87 2.73 4.05 5.91 7.37 7.85 8.85 4.67 5.39 6.13 6.87 7.62\n", + "F470N 9.70 2.56 3.87 5.74 7.20 7.67 8.68 4.50 5.22 5.95 6.70 7.45\n", "\n" ] } ], "source": [ - "nfilt = len(filt_all)\n", - "nsub = len(subarray_settings)\n", - "sat_lims = np.zeros([nfilt,nsub])\n", + "# Module B\n", + "mod = 'B'\n", "\n", - "# Module A\n", - "module = 'A'\n", - "\n", - "# We want the K-Band limiting magnitude for a G2V star\n", - "sp = nrc_utils.stellar_spectrum('G2V')\n", - "bp_lim = S.ObsBandpass('johnson,k')\n", - "bp_lim.name = 'K-Band'\n", + "print('Module {} \\n{} saturation magnitudes assuming {} star\\n'.format(mod,bp_lim.name, sp.name))\n", + "print('{:<6}'.format('Filter') + ' '.join('{:>7}'.format(t) for t in head2))\n", + "for i,filt in enumerate(filt_all):\n", + " for j,subset in enumerate(subarray_settings):\n", + " nrc = pynrc.NIRCam(filt, read_mode='RAPID', ngroup=2, module=mod, **subset)\n", + " lim = nrc.sat_limits(sp=sp, bp_lim=bp_lim, units='vegamag')\n", + " sat_lims[i,j] = lim['satmag']\n", + " print('{:<6}'.format(filt) + ' '.join('{: 7.2f}'.format(s) for s in sat_lims[i,:]))\n", "\n", + "print(\"\")\n", + "# Create astropy Table to hold data\n", + "tbl = Table(sat_lims, names=head)\n", + "for k in tbl.keys():\n", + " tbl[k].format = '6.2f'\n", "\n", - "# Loop through each subrray mode for a given filter and print the CDS saturation limit\n", - "modules = ['A','B']\n", - "tbls_dict = {}\n", - "for mod in modules:\n", - " print('Module {} \\n{} saturation magnitudes assuming {} star\\n'.format(mod,bp_lim.name, sp.name))\n", - " print('{:<6}'.format('Filter') + ' '.join('{:>7}'.format(t) for t in head2))\n", - " for i,filt in enumerate(filt_all):\n", - " for j,subset in enumerate(subarray_settings):\n", - " nrc = pynrc.NIRCam(filt, read_mode='RAPID', ngroup=2, module=mod, **subset)\n", - " lim = nrc.sat_limits(sp=sp, bp_lim=bp_lim, units='vegamag')\n", - " sat_lims[i,j] = lim['satmag']\n", - " print('{:<6}'.format(filt) + ' '.join('{: 7.2f}'.format(s) for s in sat_lims[i,:]))\n", - " \n", - " print(\"\")\n", - " # Create astropy Table to hold data\n", - " tbl = Table(sat_lims, names=head)\n", - " for k in tbl.keys():\n", - " tbl[k].format = '6.2f'\n", + "# Add filter column and reorder to front\n", + "tbl['Filter'] = filt_all\n", + "col_order = ['Filter'] + head\n", + "tbl = tbl[col_order]\n", "\n", - " # Add filter column and reorder to front\n", - " tbl['Filter'] = filt_all\n", - " col_order = ['Filter'] + head\n", - " tbl = tbl[col_order]\n", - " \n", - " tbls_dict[mod] = tbl" + "tbls_dict[mod] = tbl" ] }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 15, "metadata": { "collapsed": false }, @@ -275,30 +316,30 @@ "name": "stdout", "output_type": "stream", "text": [ - "Filter FULL SUB64 SUB160 SUB320 SUB400 SUB640 STRIPE64 STRIPE128 STRIPE256\n", - "------ ------ ------ ------ ------ ------ ------ -------- --------- ---------\n", - " F070W 14.89 9.07 10.93 12.39 12.86 13.87 11.15 11.89 12.64\n", - " F090W 15.67 9.84 11.70 13.16 13.64 14.64 11.92 12.66 13.41\n", - " F115W 15.70 9.87 11.73 13.19 13.67 14.68 11.95 12.70 13.44\n", - " F150W 15.61 9.79 11.65 13.11 13.58 14.59 11.87 12.61 13.36\n", - "F150W2 16.86 11.03 12.89 14.35 14.83 15.84 13.11 13.86 14.60\n", - " F200W 15.05 9.22 11.09 12.55 13.02 14.03 11.30 12.05 12.80\n", - " F140M 14.86 9.04 10.90 12.36 12.83 13.84 11.12 11.86 12.61\n", - " F162M 14.64 8.81 10.68 12.14 12.61 13.62 10.89 11.64 12.39\n", - " F182M 14.60 8.78 10.64 12.10 12.57 13.58 10.86 11.60 12.35\n", - " F210M 13.91 8.09 9.95 11.41 11.88 12.89 10.17 10.91 11.66\n", - " ... ... ... ... ... ... ... ... ... ...\n", - " F300M 14.09 8.27 10.13 11.59 12.07 13.07 10.35 11.09 11.84\n", - " F335M 13.80 7.98 9.84 11.30 11.78 12.78 10.06 10.80 11.55\n", - " F360M 13.64 7.82 9.68 11.14 11.61 12.62 9.90 10.64 11.39\n", - " F410M 13.25 7.42 9.28 10.74 11.22 12.22 9.50 10.25 10.99\n", - " F430M 12.34 6.51 8.38 9.84 10.31 11.32 8.59 9.34 10.09\n", - " F460M 11.76 5.93 7.80 9.26 9.73 10.74 8.01 8.76 9.51\n", - " F480M 11.95 6.13 7.99 9.45 9.92 10.93 8.21 8.95 9.70\n", - " F323N 11.24 5.41 7.28 8.74 9.21 10.22 7.49 8.24 8.99\n", - " F405N 10.71 4.88 6.74 8.20 8.68 9.68 6.96 7.70 8.45\n", - " F466N 9.87 4.05 5.91 7.37 7.84 8.85 6.13 6.87 7.62\n", - " F470N 9.70 3.87 5.74 7.19 7.67 8.68 5.95 6.70 7.45\n", + "Filter FULL SUB32 SUB64 SUB160 ... STRIPE32 STRIPE64 STRIPE128 STRIPE256\n", + "------ ------ ------ ------ ------ ... -------- -------- --------- ---------\n", + " F070W 14.95 7.81 9.13 10.99 ... 10.47 11.21 11.95 12.70\n", + " F090W 15.66 8.52 9.84 11.70 ... 11.18 11.92 12.66 13.41\n", + " F115W 15.73 8.59 9.90 11.76 ... 11.25 11.98 12.73 13.48\n", + " F150W 15.63 8.49 9.80 11.66 ... 11.14 11.88 12.62 13.37\n", + "F150W2 16.87 9.73 11.04 12.91 ... 12.39 13.12 13.87 14.62\n", + " F200W 15.06 7.92 9.24 11.10 ... 10.58 11.32 12.06 12.81\n", + " F140M 14.87 7.73 9.04 10.90 ... 10.38 11.12 11.86 12.61\n", + " F162M 14.65 7.51 8.82 10.68 ... 10.16 10.90 11.64 12.39\n", + " F182M 14.61 7.47 8.78 10.65 ... 10.13 10.86 11.61 12.36\n", + " F210M 13.93 6.79 8.11 9.97 ... 9.45 10.19 10.93 11.68\n", + " ... ... ... ... ... ... ... ... ... ...\n", + " F300M 14.17 7.03 8.34 10.21 ... 9.69 10.42 11.17 11.92\n", + " F335M 13.92 6.78 8.09 9.95 ... 9.43 10.17 10.91 11.66\n", + " F360M 13.67 6.53 7.85 9.71 ... 9.19 9.93 10.67 11.42\n", + " F410M 13.26 6.12 7.44 9.30 ... 8.78 9.52 10.26 11.01\n", + " F430M 12.24 5.10 6.41 8.27 ... 7.75 8.49 9.23 9.98\n", + " F460M 11.67 4.53 5.84 7.71 ... 7.19 7.92 8.67 9.42\n", + " F480M 11.55 4.41 5.73 7.59 ... 7.07 7.81 8.55 9.30\n", + " F323N 11.25 4.11 5.42 7.28 ... 6.76 7.50 8.24 8.99\n", + " F405N 10.57 3.43 4.74 6.60 ... 6.09 6.82 7.57 8.31\n", + " F466N 9.78 2.64 3.95 5.82 ... 5.30 6.03 6.78 7.53\n", + " F470N 9.57 2.43 3.75 5.61 ... 5.09 5.83 6.57 7.32\n", "Length = 29 rows\n" ] } @@ -309,7 +350,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 16, "metadata": { "collapsed": false }, @@ -318,30 +359,30 @@ "name": "stdout", "output_type": "stream", "text": [ - "Filter FULL SUB64 SUB160 SUB320 SUB400 SUB640 STRIPE64 STRIPE128 STRIPE256\n", - "------ ------ ------ ------ ------ ------ ------ -------- --------- ---------\n", - " F070W 14.89 9.07 10.93 12.39 12.86 13.87 11.15 11.89 12.64\n", - " F090W 15.67 9.84 11.70 13.16 13.64 14.64 11.92 12.66 13.41\n", - " F115W 15.70 9.87 11.73 13.19 13.67 14.68 11.95 12.70 13.44\n", - " F150W 15.61 9.79 11.65 13.11 13.58 14.59 11.87 12.61 13.36\n", - "F150W2 16.86 11.03 12.89 14.35 14.83 15.84 13.11 13.86 14.60\n", - " F200W 15.05 9.22 11.09 12.55 13.02 14.03 11.30 12.05 12.80\n", - " F140M 14.86 9.04 10.90 12.36 12.83 13.84 11.12 11.86 12.61\n", - " F162M 14.64 8.81 10.68 12.14 12.61 13.62 10.89 11.64 12.39\n", - " F182M 14.60 8.78 10.64 12.10 12.57 13.58 10.86 11.60 12.35\n", - " F210M 13.91 8.09 9.95 11.41 11.88 12.89 10.17 10.91 11.66\n", - " ... ... ... ... ... ... ... ... ... ...\n", - " F300M 14.09 8.27 10.13 11.59 12.07 13.07 10.35 11.09 11.84\n", - " F335M 13.80 7.98 9.84 11.30 11.78 12.78 10.06 10.80 11.55\n", - " F360M 13.64 7.82 9.68 11.14 11.61 12.62 9.90 10.64 11.39\n", - " F410M 13.25 7.42 9.28 10.74 11.22 12.22 9.50 10.25 10.99\n", - " F430M 12.34 6.51 8.38 9.84 10.31 11.32 8.59 9.34 10.09\n", - " F460M 11.76 5.93 7.80 9.26 9.73 10.74 8.01 8.76 9.51\n", - " F480M 11.95 6.13 7.99 9.45 9.92 10.93 8.21 8.95 9.70\n", - " F323N 11.24 5.41 7.28 8.74 9.21 10.22 7.49 8.24 8.99\n", - " F405N 10.71 4.88 6.74 8.20 8.68 9.68 6.96 7.70 8.45\n", - " F466N 9.87 4.05 5.91 7.37 7.84 8.85 6.13 6.87 7.62\n", - " F470N 9.70 3.87 5.74 7.19 7.67 8.68 5.95 6.70 7.45\n", + "Filter FULL SUB32 SUB64 SUB160 ... STRIPE32 STRIPE64 STRIPE128 STRIPE256\n", + "------ ------ ------ ------ ------ ... -------- -------- --------- ---------\n", + " F070W 14.93 7.79 9.10 10.96 ... 10.44 11.18 11.92 12.67\n", + " F090W 15.69 8.55 9.86 11.72 ... 11.21 11.94 12.69 13.43\n", + " F115W 15.71 8.57 9.89 11.75 ... 11.23 11.97 12.71 13.46\n", + " F150W 15.62 8.48 9.79 11.66 ... 11.14 11.87 12.62 13.37\n", + "F150W2 16.87 9.73 11.04 12.90 ... 12.39 13.12 13.87 14.61\n", + " F200W 15.06 7.92 9.23 11.09 ... 10.57 11.31 12.05 12.80\n", + " F140M 14.87 7.73 9.05 10.91 ... 10.39 11.13 11.87 12.62\n", + " F162M 14.65 7.51 8.82 10.68 ... 10.17 10.90 11.65 12.39\n", + " F182M 14.61 7.47 8.78 10.64 ... 10.13 10.86 11.61 12.36\n", + " F210M 13.92 6.78 8.09 9.95 ... 9.43 10.17 10.91 11.66\n", + " ... ... ... ... ... ... ... ... ... ...\n", + " F300M 14.10 6.96 8.27 10.13 ... 9.61 10.35 11.09 11.84\n", + " F335M 13.81 6.67 7.98 9.84 ... 9.32 10.06 10.80 11.55\n", + " F360M 13.65 6.51 7.82 9.68 ... 9.16 9.90 10.64 11.39\n", + " F410M 13.25 6.11 7.42 9.28 ... 8.77 9.50 10.25 10.99\n", + " F430M 12.34 5.20 6.51 8.38 ... 7.86 8.59 9.34 10.09\n", + " F460M 11.76 4.62 5.93 7.80 ... 7.28 8.01 8.76 9.51\n", + " F480M 11.95 4.81 6.13 7.99 ... 7.47 8.21 8.95 9.70\n", + " F323N 11.24 4.10 5.42 7.28 ... 6.76 7.50 8.24 8.99\n", + " F405N 10.71 3.57 4.88 6.74 ... 6.22 6.96 7.70 8.45\n", + " F466N 9.87 2.73 4.05 5.91 ... 5.39 6.13 6.87 7.62\n", + " F470N 9.70 2.56 3.87 5.74 ... 5.22 5.95 6.70 7.45\n", "Length = 29 rows\n" ] } diff --git a/notebooks/NRC_ERS_HD142527.ipynb b/notebooks/NRC_ERS_HD142527.ipynb new file mode 100644 index 00000000..f5a19351 --- /dev/null +++ b/notebooks/NRC_ERS_HD142527.ipynb @@ -0,0 +1,1562 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "\n", + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages\n", + "import matplotlib.patches as patches" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import S\n", + "from pynrc.obs_nircam import model_to_hdulist\n", + "pynrc.setup_logging('WARNING', verbose=False)\n", + "\n", + "from astropy.io import fits\n", + "from astropy.io import ascii\n", + "from copy import deepcopy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Observations Definitions\n", + "\n", + "Functions to create at optimize a series of observation objects stored as a dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def make_key(filter, pupil=None, mask=None):\n", + " \"\"\"Create identification key (string) based on filter, pupil, and mask\"\"\"\n", + " mask_key = 'none' if mask is None else mask\n", + " pupil_key = 'none' if pupil is None else pupil\n", + " key = '{}_{}_{}'.format(filter,mask_key,pupil_key)\n", + " return key" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def model_info(source, filt, dist):\n", + " \n", + " model_dir = '/Volumes/NIRData/RDong/'\n", + " fname = 'hd142527_hband.fits'\n", + " \n", + " # Model wavelength\n", + " bp = S.ObsBandpass('h')\n", + " w0 = bp.avgwave() / 1e4\n", + "\n", + " # Model pixels scale\n", + " model_scale = 0.0091\n", + " \n", + " units = 'mJy/arcsec^2'\n", + " \n", + " # File name, arcsec/pix, dist (pc), wavelength (um), flux units\n", + " args_model = (model_dir+fname, model_scale, dist, w0, units)\n", + "\n", + " return args_model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def obs_wfe(wfe_drift, filt_list, sp_sci, dist, sp_ref=None, disk_mod=True, fov_pix=None, verbose=False):\n", + " \"\"\"\n", + " For a given WFE drift and series of filters, create a list of \n", + " NIRCam observations. This function will calculate PSFs out to 320 pixels. \n", + " For the case of SW+MASK335R, we also assume that the subarray size matches \n", + " that of a simultaneous LW observation (320x320).\n", + " \"\"\"\n", + " if sp_ref is None:\n", + " sp_ref = sp_sci\n", + " \n", + " fov_pix_orig = fov_pix\n", + "\n", + " obs_dict = {}\n", + " for filt, mask, pupil in filt_list:\n", + " if verbose: print(filt, mask, pupil)\n", + "\n", + " # Disk Model\n", + " if disk_mod:\n", + " # Convert to photons/sec in specified filter\n", + " args_disk = model_info(sp_sci.name, filt, dist)\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt, pupil=pupil, mask=mask)\n", + " data = hdu_disk[0].data\n", + " data -= np.median(data)\n", + " data[data<0] = 0\n", + " data *= 3 # Input model is from a polarized intensity image\n", + " \n", + " # Mask out some regions\n", + " rho = nrc_utils.dist_image(data, center=(258,244))\n", + " data[rho>163] = 0\n", + " rho = nrc_utils.dist_image(data, center=(260,234))\n", + " data[rho<60] = 0\n", + " else:\n", + " hdu_disk = None\n", + " \n", + " # Create identification keys\n", + " key = make_key(filt, mask=mask, pupil=pupil)\n", + " \n", + " # Define the subarray readout size\n", + " # Set the PSF size and oversampling amount\n", + " if fov_pix is None:\n", + " if mask is None:\n", + " fov_pix = subsize = 400\n", + " elif ('MASK210R' in mask) or ('MASKSWB' in mask):\n", + " fov_pix = subsize = 640\n", + " else:\n", + " fov_pix = subsize = 320\n", + " else:\n", + " subsize = fov_pix\n", + " \n", + " module = 'B' if mask is None else 'A'\n", + " \n", + " #fov_pix = subsize = 320 if fov_pix is None else fov_pix\n", + " oversample = 2\n", + " \n", + " # Offset for bar mask\n", + " if (mask is not None) and ('WB' in mask):\n", + " from pynrc.speckle_noise import offset_bar\n", + " offset_r, offset_theta = offset_bar(filt, mask)\n", + " else:\n", + " offset_r = None\n", + " offset_theta = None\n", + " \n", + "\n", + " # Initialize and store the observation\n", + " # A reference obseration is stored inside each parent obs_coronagraphy class.\n", + " obs_dict[key] = pynrc.obs_coronagraphy(sp_sci, sp_ref, dist, module=module,\n", + " disk_hdu=hdu_disk, wfe_drift=wfe_drift,\n", + " filter=filt, mask=mask, pupil=pupil, \n", + " oversample=oversample, fov_pix=fov_pix,\n", + " wind_mode='WINDOW', xpix=subsize, ypix=subsize,\n", + " offset_r=offset_r, offset_theta=offset_theta,\n", + " verbose=verbose)\n", + " fov_pix = fov_pix_orig\n", + " \n", + " return obs_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Functions to init, optimize, and plot" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Generate initial observations for each filter(no WFE drift)\n", + "def do_init(disk_mod=True, fov_pix=None, verbose=True):\n", + " wfe_drift = 0\n", + " obs_dict = obs_wfe(wfe_drift, args_list, sp_sci, dist_sci, sp_ref=sp_ref, \n", + " disk_mod=disk_mod, fov_pix=fov_pix, verbose=verbose)\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Optimize observations\n", + "def do_opt(tacq_max, **kwargs):\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + " obs_optimize(obs_dict, sp_opt=sp_opt, tacq_max=tacq_max, **kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# For each filter setting, generate a series of contrast curves at different WFE values\n", + "def do_contrast(wfe_list, filt_keys, nsig=5, roll_angle=None, exclude_disk=True, exclude_planets=True):\n", + " contrast_all = {}\n", + " for i, key in enumerate(filt_keys):\n", + " print(key)\n", + " obs = obs_dict[key]\n", + "\n", + " filt, mask, pupil = args_list[i]\n", + " if roll_angle is None:\n", + " roll_angle = 0 if mask is None else 10\n", + "\n", + " # Stores tuple of (Radial Distances, Contrast, and Sensitivity) for each WFE drift\n", + " curves = []\n", + " for wfe_drift in wfe_list:\n", + " obs.wfe_drift = wfe_drift\n", + " result = obs.calc_contrast(roll_angle=roll_angle, nsig=nsig, \n", + " exclude_disk=exclude_disk, exclude_planets=exclude_planets)\n", + " curves.append(result)\n", + "\n", + " contrast_all[key] = curves\n", + " return contrast_all" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_plot_contrast(obs, curves, wfe_list, nsig, age, xlim=[0,10], ylim=[24,8], save_fig=False):\n", + "\n", + " fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + " entropy_vals = [13,8]\n", + "\n", + " for j, ax in enumerate(axes.flatten()):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " plot_contrasts(curves, wfe_list, ax=ax)\n", + " plot_planet_patches(ax, obs, age=age, entropy=entropy_vals[j])\n", + "\n", + " for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " ax.legend(ncol=2)\n", + "\n", + " fig.tight_layout()\n", + " \n", + " t_exp = obs.multiaccum_times['t_exp']\n", + " t_exp = round(2*t_exp/100)*100\n", + " fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + " #fig.subplots_adjust(top=0.85)\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n", + "\n", + " fname = \"{}_contrast.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_gen_hdus(obs_dict, wfe_drift, verbose=False, **kwargs):\n", + " \n", + " \"\"\"\n", + " kwargs to pass to gen_roll_image() and their defaults:\n", + " \n", + " PA1 = 0\n", + " PA2 = 10\n", + " zfact = None\n", + " oversample = None\n", + " exclude_disk = False\n", + " exclude_noise = False\n", + " opt_diff = True\n", + " \"\"\"\n", + " \n", + " hdulist_dict = {}\n", + " for key in filt_keys:\n", + " if verbose: print(key)\n", + " obs = obs_dict[key]\n", + " obs.wfe_drift = wfe_drift\n", + " hdulist = obs.gen_roll_image(**kwargs)\n", + " \n", + " hdulist_dict[key] = hdulist\n", + " \n", + " return hdulist_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Define Sources and their Reference Counterparts" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# K-Band Filter\n", + "# 2MASS Bandpass\n", + "tbl = ascii.read(\"2mass_ks.txt\", names=['Wave', 'Throughput'])\n", + "bp_k = S.ArrayBandpass(tbl['Wave']*1e4, tbl['Throughput'], name='Ks')\n", + "\n", + "outdir = '/Volumes/NIRData/'" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# source, dist, age, sptype, kmag\n", + "args_sources = [('HD142527', 156, 1.0, 'F6III', 5.2)]\n", + "\n", + "# Corresponding reference stars\n", + "ref_sources = [('HD145158', 'F6V', 5.47),\n", + " ('HD142695', 'K1III', 4.987)]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "i=0\n", + "\n", + "name_sci, dist_sci, age, spt_sci, kmag_sci = args_sources[i]\n", + "name_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='bosz')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='bosz')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "i=1\n", + "\n", + "name_ref2, spt_ref2, kmag_ref2 = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "#sp_sci = pynrc.stellar_spectrum(spt_sci2, kmag_sci, 'vegamag', bp_k, catname='bosz')\n", + "sp_ref2 = pynrc.stellar_spectrum(spt_ref2, kmag_ref2, 'vegamag', bp_k, catname='bosz')\n", + "#sp_sci.name = name_sci\n", + "sp_ref2.name = name_ref2" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5.1915267714 5.18878812186\n", + "5.46417464006 5.46490880078\n", + "4.94077298193 5.00495871355\n" + ] + } + ], + "source": [ + "bp1 = nrc_utils.read_filter('F356W')\n", + "bp2 = nrc_utils.read_filter('F444W')\n", + "\n", + "obs_test1 = S.Observation(sp_sci, bp1, binset=bp1.wave)\n", + "obs_test2 = S.Observation(sp_sci, bp2, binset=bp1.wave)\n", + "print(obs_test1.effstim('vegamag'), obs_test2.effstim('vegamag'))\n", + "\n", + "obs_test1 = S.Observation(sp_ref, bp1, binset=bp1.wave)\n", + "obs_test2 = S.Observation(sp_ref, bp2, binset=bp1.wave)\n", + "print(obs_test1.effstim('vegamag'), obs_test2.effstim('vegamag'))\n", + "# 5.64, 5.3\n", + "\n", + "obs_test1 = S.Observation(sp_ref2, bp1, binset=bp1.wave)\n", + "obs_test2 = S.Observation(sp_ref2, bp2, binset=bp1.wave)\n", + "print(obs_test1.effstim('vegamag'), obs_test2.effstim('vegamag'))\n", + "# 4.94, 4.78" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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a2LEF8FO9ZNdmj79gjIGh6z2Xu7Z1qmE0e5HhG7DV2WnXvGLwW3zNVycd9IUQ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\nArkQQghRjEkgF0IIIYoxCeRCCCFEMfb/O6gsS51Z1ukAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.semilogy(sp_sci.wave/1e4, sp_sci.flux, label=name_sci)\n", + "plt.semilogy(sp_ref.wave/1e4, sp_ref.flux, label=name_ref)\n", + "plt.plot(sp_ref2.wave/1e4, sp_ref2.flux, label=name_ref2)\n", + "plt.xlim([2,5.5])\n", + "plt.ylim([1e-14,6e-13])\n", + "\n", + "plt.legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Direct Imaging" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# List of filters\n", + "args_list = [('F187N', None, None),\n", + " ('F210M', None, None),\n", + " ('F356W', None, None),\n", + " ('F444W', None, None)]\n", + "\n", + "filt_keys = []\n", + "for filt,mask,pupil in args_list:\n", + " filt_keys.append(make_key(filt, mask=mask, pupil=pupil)) " + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F187N None None\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F210M None None\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F356W None None\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F444W None None\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n" + ] + } + ], + "source": [ + "# Create the four individual observations\n", + "obs_dict = do_init(disk_mod=True, fov_pix=None, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{u't_exp': 2898.42, u't_acq': 3485.3139999999994, u't_int_tot': 9.958039999999999, u't_frame': 1.65624, u't_group': 1.65624, u't_int': 8.2812}\n", + "{u't_exp': 2898.42, u't_acq': 3485.3139999999994, u't_int_tot': 9.958039999999999, u't_frame': 1.65624, u't_group': 1.65624, u't_int': 8.2812}\n", + "{u't_exp': 2898.42, u't_acq': 3485.3139999999994, u't_int_tot': 9.958039999999999, u't_frame': 1.65624, u't_group': 1.65624, u't_int': 8.2812}\n", + "{u't_exp': 2898.42, u't_acq': 3485.3139999999994, u't_int_tot': 9.958039999999999, u't_frame': 1.65624, u't_group': 1.65624, u't_int': 8.2812}\n" + ] + } + ], + "source": [ + "# Update detector readout\n", + "for key in filt_keys:\n", + " obs = obs_dict[key]\n", + "\n", + " if 'none' in key:\n", + " pattern, ng, nint_sci, nint_ref = ('RAPID',5,350,350)\n", + " elif ('MASK210R' in key) or ('MASKSWB' in key):\n", + " pattern, ng, nint_sci, nint_ref = ('BRIGHT2',10,18,20)\n", + " else:\n", + " pattern, ng, nint_sci, nint_ref = ('MEDIUM8',10,15,15)\n", + "\n", + " obs.update_detectors(read_mode=pattern, ngroup=ng, nint=nint_sci)\n", + " obs.nrc_ref.update_detectors(read_mode=pattern, ngroup=ng, nint=nint_ref)\n", + " \n", + " print(obs.multiaccum_times)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Add planets and M-Dwarf companion\n", + "for key in filt_keys:\n", + " obs = obs_dict[key]\n", + " obs.kill_planets()\n", + " obs.add_planet(mass=2, age=age, entropy=13, rtheta=(1.48, -80), runits='arcsec', \n", + " accr=True, mdot=1e-6, Av=25)\n", + " obs.add_planet(mass=2, age=age, entropy=13, rtheta=(1.29, -36), runits='arcsec', \n", + " accr=True, mdot=1e-6, Av=25)\n", + " obs.add_planet(mass=5, age=age, entropy=13, rtheta=(0.62,-125), runits='arcsec', \n", + " accr=True, mdot=1e-6, Av=5)\n", + " obs.add_planet(mass=4, age=age, entropy=13, rtheta=(0.50, 180), runits='arcsec', \n", + " accr=True, mdot=1e-6, Av=5)\n", + " obs.add_planet(sptype='M9V', rtheta=(0.09,90), runits='arcsec', renorm_args=(9.9, 'vegamag', bp_k))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "obs_direct = obs_dict\n", + "filt_keys_direct = filt_keys" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F187N_none_none\n", + "F210M_none_none\n", + "F356W_none_none\n", + "F444W_none_none\n" + ] + } + ], + "source": [ + "# Create HDU images for each observation\n", + "wfe_drift = 5\n", + "hdu_direct = do_gen_hdus(obs_direct, wfe_drift, verbose=True, opt_diff=False, PA1=290, PA2=None)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F444W_none_none\n" + ] + } + ], + "source": [ + "# Determine contrast curves for various WFE drift values\n", + "wfe_list = [5,10]\n", + "nsig = 5\n", + "roll = 0\n", + "curves_dict = do_contrast(wfe_list, filt_keys[-1:], nsig=nsig, roll_angle=roll)\n", + "\n", + "# Only want F444W\n", + "curves_direct = curves_dict[filt_keys[-1]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Circular Lyot" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# List of filters\n", + "args_list = [('F187N', 'MASK210R', 'CIRCLYOT'),\n", + " ('F210M', 'MASK210R', 'CIRCLYOT'),\n", + " ('F356W', 'MASK430R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK430R', 'CIRCLYOT')]\n", + "\n", + "filt_keys = []\n", + "for filt,mask,pupil in args_list:\n", + " filt_keys.append(make_key(filt, mask=mask, pupil=pupil)) " + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F187N MASK210R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F210M MASK210R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F356W MASK430R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F444W MASK430R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n" + ] + } + ], + "source": [ + "# Create the four individual observations\n", + "obs_dict = do_init(disk_mod=True, fov_pix=None, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{u't_exp': 1506.9024, u't_acq': 1582.5995999999998, u't_int_tot': 87.92219999999999, u't_frame': 4.18584, u't_group': 8.37168, u't_int': 83.71679999999999}\n", + "{u't_exp': 1506.9024, u't_acq': 1582.5995999999998, u't_int_tot': 87.92219999999999, u't_frame': 4.18584, u't_group': 8.37168, u't_int': 83.71679999999999}\n", + "{u't_exp': 1571.4887999999999, u't_acq': 1587.8231999999998, u't_int_tot': 105.85488, u't_frame': 1.06904, u't_group': 10.6904, u't_int': 104.76592}\n", + "{u't_exp': 1571.4887999999999, u't_acq': 1587.8231999999998, u't_int_tot': 105.85488, u't_frame': 1.06904, u't_group': 10.6904, u't_int': 104.76592}\n" + ] + } + ], + "source": [ + "# Update detector readout\n", + "for key in filt_keys:\n", + " obs = obs_dict[key]\n", + "\n", + " if 'none' in key:\n", + " pattern, ng, nint_sci, nint_ref = ('RAPID',5,250,250)\n", + " elif ('MASK210R' in key) or ('MASKSWB' in key):\n", + " pattern, ng, nint_sci, nint_ref = ('BRIGHT2',10,18,20)\n", + " else:\n", + " pattern, ng, nint_sci, nint_ref = ('MEDIUM8',10,15,15)\n", + "\n", + " obs.update_detectors(read_mode=pattern, ngroup=ng, nint=nint_sci)\n", + " obs.nrc_ref.update_detectors(read_mode=pattern, ngroup=ng, nint=nint_ref)\n", + " \n", + " print(obs.multiaccum_times)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Add planets and M-Dwarf companion\n", + "for key in filt_keys:\n", + " obs = obs_dict[key]\n", + " obs.kill_planets()\n", + " obs.add_planet(mass=2, age=age, entropy=13, rtheta=(1.48, -80), runits='arcsec', \n", + " accr=True, mdot=1e-6, Av=25)\n", + " obs.add_planet(mass=2, age=age, entropy=13, rtheta=(1.29, -36), runits='arcsec', \n", + " accr=True, mdot=1e-6, Av=25)\n", + " obs.add_planet(mass=5, age=age, entropy=13, rtheta=(0.62,-125), runits='arcsec', \n", + " accr=True, mdot=1e-6, Av=5)\n", + " obs.add_planet(mass=4, age=age, entropy=13, rtheta=(0.50, 180), runits='arcsec', \n", + " accr=True, mdot=1e-6, Av=5)\n", + " obs.add_planet(sptype='M9V', rtheta=(0.09,90), runits='arcsec', renorm_args=(9.9, 'vegamag', bp_k))" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Save observations to separate variable name\n", + "obs_circ = obs_dict\n", + "filt_keys_circ = filt_keys" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F187N_MASK210R_CIRCLYOT\n", + "F210M_MASK210R_CIRCLYOT\n", + "F356W_MASK430R_CIRCLYOT\n", + "F444W_MASK430R_CIRCLYOT\n" + ] + } + ], + "source": [ + "# Create HDU images for each observation\n", + "wfe_drift = 5\n", + "hdu_circ = do_gen_hdus(obs_circ, wfe_drift, verbose=True, opt_diff=False, PA1=290, PA2=300)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F444W_MASK430R_CIRCLYOT\n" + ] + } + ], + "source": [ + "# Determine contrast curves for various WFE drift values\n", + "wfe_list = [5,10]\n", + "nsig = 5\n", + "roll = 10\n", + "curves_dict = do_contrast(wfe_list, filt_keys[-1:], nsig=nsig, roll_angle=roll)\n", + "\n", + "# Only want F444W\n", + "curves_circ = curves_dict[filt_keys[-1]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Wedge Lyot" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# List of filters\n", + "args_list = [('F187N', 'MASKSWB', 'WEDGELYOT'),\n", + " ('F210M', 'MASKSWB', 'WEDGELYOT'),\n", + " ('F356W', 'MASKLWB', 'WEDGELYOT'),\n", + " ('F444W', 'MASKLWB', 'WEDGELYOT')]\n", + "\n", + "filt_keys = []\n", + "for filt,mask,pupil in args_list:\n", + " filt_keys.append(make_key(filt, mask=mask, pupil=pupil)) " + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F187N MASKSWB WEDGELYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F210M MASKSWB WEDGELYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F356W MASKLWB WEDGELYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F444W MASKLWB WEDGELYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n" + ] + } + ], + "source": [ + "# Create the four individual observations\n", + "obs_dict = do_init(disk_mod=True, fov_pix=None, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{u't_exp': 1506.9024, u't_acq': 1582.5995999999998, u't_int_tot': 87.92219999999999, u't_frame': 4.18584, u't_group': 8.37168, u't_int': 83.71679999999999}\n", + "{u't_exp': 1506.9024, u't_acq': 1582.5995999999998, u't_int_tot': 87.92219999999999, u't_frame': 4.18584, u't_group': 8.37168, u't_int': 83.71679999999999}\n", + "{u't_exp': 1571.4887999999999, u't_acq': 1587.8231999999998, u't_int_tot': 105.85488, u't_frame': 1.06904, u't_group': 10.6904, u't_int': 104.76592}\n", + "{u't_exp': 1571.4887999999999, u't_acq': 1587.8231999999998, u't_int_tot': 105.85488, u't_frame': 1.06904, u't_group': 10.6904, u't_int': 104.76592}\n" + ] + } + ], + "source": [ + "# Update detector readout\n", + "for key in filt_keys:\n", + " obs = obs_dict[key]\n", + "\n", + " if 'none' in key:\n", + " pattern, ng, nint_sci, nint_ref = ('RAPID',5,250,250)\n", + " elif ('MASK210R' in key) or ('MASKSWB' in key):\n", + " pattern, ng, nint_sci, nint_ref = ('BRIGHT2',10,18,20)\n", + " else:\n", + " pattern, ng, nint_sci, nint_ref = ('MEDIUM8',10,15,15)\n", + "\n", + " obs.update_detectors(read_mode=pattern, ngroup=ng, nint=nint_sci)\n", + " obs.nrc_ref.update_detectors(read_mode=pattern, ngroup=ng, nint=nint_ref)\n", + " \n", + " print(obs.multiaccum_times)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Add planets and M-Dwarf companion\n", + "for key in filt_keys:\n", + " obs = obs_dict[key]\n", + " obs.kill_planets()\n", + " obs.add_planet(mass=2, age=age, entropy=13, rtheta=(1.48, -80), runits='arcsec', \n", + " accr=True, mdot=1e-6, Av=25)\n", + " obs.add_planet(mass=2, age=age, entropy=13, rtheta=(1.29, -36), runits='arcsec', \n", + " accr=True, mdot=1e-6, Av=25)\n", + " obs.add_planet(mass=5, age=age, entropy=13, rtheta=(0.62,-125), runits='arcsec', \n", + " accr=True, mdot=1e-6, Av=5)\n", + " obs.add_planet(mass=4, age=age, entropy=13, rtheta=(0.50, 180), runits='arcsec', \n", + " accr=True, mdot=1e-6, Av=5)\n", + " obs.add_planet(sptype='M9V', rtheta=(0.09,90), runits='arcsec', renorm_args=(9.9, 'vegamag', bp_k))" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Save observations to separate variable name\n", + "obs_bar = obs_dict\n", + "filt_keys_bar = filt_keys" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F187N_MASKSWB_WEDGELYOT\n", + "F210M_MASKSWB_WEDGELYOT\n", + "F356W_MASKLWB_WEDGELYOT\n", + "F444W_MASKLWB_WEDGELYOT\n" + ] + } + ], + "source": [ + "# Create HDU images for each observation\n", + "wfe_drift = 5\n", + "hdu_bar = do_gen_hdus(obs_bar, wfe_drift, verbose=True, opt_diff=False, PA1=290, PA2=300)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F444W_MASKLWB_WEDGELYOT\n" + ] + } + ], + "source": [ + "# Determine contrast curves for various WFE drift values\n", + "wfe_list = [5,10]\n", + "nsig = 5\n", + "roll = 10\n", + "curves_dict = do_contrast(wfe_list, filt_keys[-1:], nsig=nsig, roll_angle=roll)\n", + "\n", + "# Only want F444W\n", + "curves_bar = curves_dict[filt_keys[-1]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Contrast Curves" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def plot_contrasts(curves, wfe_list, ax=None, colors=None, return_ax=False):\n", + " \"\"\"Plot a series of contrast curves for corresponding WFE drifts.\"\"\"\n", + " if ax is None:\n", + " fig, ax = plt.subplots()\n", + " if colors is None:\n", + " lin_vals = np.linspace(0.2,0.7,len(wfe_list))\n", + " colors = plt.cm.Blues_r(lin_vals)[::-1]\n", + " for j, wfe_drift in enumerate(wfe_list):\n", + " rr, contrast, mag_sens = curves[j]\n", + " label='$\\Delta$' + \"WFE = {} nm\".format(wfe_list[j])\n", + " ax.plot(rr, mag_sens, label=label, color=colors[j], zorder=1, lw=2)\n", + " \n", + " if return_ax: return ax\n", + "\n", + "\n", + "def planet_mags(obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25], **kwargs):\n", + " \"\"\"Determine series of exoplanet magnitudes for given observation.\"\"\"\n", + "\n", + " pmag = {}\n", + " for i,m in enumerate(mass_list):\n", + " flux_list = []\n", + " for j,av in enumerate(av_vals):\n", + " sp = obs.planet_spec(mass=m, age=age, Av=av, entropy=entropy, atmo='hy3s', **kwargs)\n", + " sp_obs = S.Observation(sp, obs.bandpass, binset=obs.bandpass.wave)\n", + " flux = sp_obs.effstim('vegamag')\n", + " flux_list.append(flux)\n", + " pmag[m] = tuple(flux_list)\n", + " \n", + " return pmag\n", + "\n", + " \n", + "def plot_planet_patches(ax, obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25], **kwargs):\n", + " \"\"\"Plot exoplanet magnitudes in region corresponding to extinction values.\"\"\"\n", + " \n", + " xlim = ax.get_xlim()\n", + " cols = plt.cm.tab10(np.linspace(0,1,10))\n", + " \n", + " #lin_vals = np.linspace(0,0.5,4)\n", + " #cols = plt.cm.Purples_r(lin_vals)[::-1]\n", + " \n", + " dist = obs.distance\n", + " \n", + " if entropy<8: entropy=8\n", + " if entropy>13: entropy=13\n", + "\n", + " pmag = planet_mags(obs, age, entropy, mass_list, av_vals, **kwargs)\n", + " for i,m in enumerate(mass_list):\n", + " pm_min, pm_max = pmag[m]\n", + " label = 'Mass = {} '.format(m) + '$M_{\\mathrm{Jup}}$'\n", + " rect = patches.Rectangle((xlim[0], pm_min), xlim[1], pm_max-pm_min, alpha=0.2,\n", + " color=cols[i], label=label, zorder=2)\n", + " ax.add_patch(rect)\n", + " ax.plot(xlim, [pm_min]*2, color=cols[i], lw=1, alpha=0.3)\n", + " ax.plot(xlim, [pm_max]*2, color=cols[i], lw=1, alpha=0.3)\n", + " \n", + "\n", + " entropy_switch = {13:'Hot', 8:'Cold'}\n", + " entropy_string = entropy_switch.get(entropy, \"Warm\")\n", + " ent_str = entropy_string + ' Start'\n", + " #ent_str = '{} Start'.format(entropy_string)\n", + "\n", + " av_str = '$A_V = [{:.0f},{:.0f}]$'.format(av_vals[0],av_vals[1])\n", + " age_str = 'Age = {:.0f} Myr; '.format(age)\n", + " dist_str = 'Dist = {:.1f} pc; '.format(dist) if dist is not None else ''\n", + " #dist_str=\"\"\n", + "\n", + " ax.set_title('{} -- {} ({}{}{})'.format(obs.filter,ent_str,age_str,dist_str,av_str))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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Nd2L3uvpIMsYcxCp4oyR9T6nrgMqevPNwSrn+BWe95EyHb8SaEadSvo0xvxpj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eLf1f/mhkv6MBpVlnzQxPceW0tHMD6KVyVJknRak1k4RGrpBJTxczCYjEy67VIMTgcdS/49cIMV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\n/wG15SKWxN4tEgAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the contrast curves along with saturation regions\n", + "xlim=[0,10]\n", + "ylim=[24,8]\n", + "\n", + "fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + "ax1, ax2 = axes\n", + "entropy_vals = [13,8]\n", + "\n", + "for j, ax in enumerate(axes):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + "#label = 'Saturation'\n", + "#if rmax1>0:\n", + "# rect1 = patches.Rectangle((0,ylim[0]), rmax1, ylim[1]-ylim[0], alpha=0.5,\n", + "# color='grey', label=label, zorder=2)\n", + "# ax1.add_patch(rect1)\n", + "#if rmax2>0:\n", + "# rect2 = patches.Rectangle((0,ylim[0]), rmax2, ylim[1]-ylim[0], alpha=0.5,\n", + "# color='grey', label=label, zorder=2)\n", + "# ax2.add_patch(rect2)\n", + "\n", + "nwfe = len(wfe_list)\n", + "lin_vals = np.linspace(0.2,0.7,nwfe)\n", + "\n", + "for ax in [ax1, ax2]:\n", + " plot_contrasts(curves_direct, wfe_list, ax=ax)\n", + " plot_contrasts(curves_circ, wfe_list, ax=ax, colors=plt.cm.Reds_r(lin_vals)[::-1])\n", + " plot_contrasts(curves_bar, wfe_list, ax=ax, colors=plt.cm.Greens_r(lin_vals)[::-1])\n", + "\n", + "obs = obs_direct['F444W_none_none']\n", + "plot_planet_patches(ax1, obs, age=age, entropy=13, av_vals=[0,25], accr=False, mdot=1e-6)\n", + "plot_planet_patches(ax2, obs, age=age, entropy=13, av_vals=[0,25], accr=True, mdot=1e-6)\n", + "\n", + "#plot_planet_patches(ax2, obs_circ[obs_circ.keys()[-1]], age=age, entropy=13, av_vals=[0,25])\n", + "\n", + "import matplotlib.patches as mpatches\n", + "handles, labels = ax2.get_legend_handles_labels()\n", + "h1 = handles[0:nwfe]\n", + "h2 = handles[nwfe:2*nwfe]\n", + "h3 = handles[2*nwfe:3*nwfe]\n", + "h1_t = [mpatches.Patch(color='none', label='Direct Imaging')]\n", + "h2_t = [mpatches.Patch(color='none', label='MASK430R')]\n", + "h3_t = [mpatches.Patch(color='none', label='MASKLWB')]\n", + "handles_new = h1_t + h1 + h2_t + h2 + h3_t + h3\n", + "\n", + "ax1.legend(ncol=3, handles=handles_new)\n", + "\n", + "handles, labels = ax1.get_legend_handles_labels()\n", + "h3 = handles[3*nwfe:]\n", + "ax2.legend(ncol=2, handles=h3, loc=1, title='Exoplanet Magnitudes ($A_V = 0-25$)')\n", + "\n", + "\n", + "for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}$\\sigma$ Sensitivities (mag)'.format(nsig))\n", + " \n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + "\n", + "ax1.set_title('No Circumplanetary Accretion')\n", + "ax2.set_title('Accreting Circumplanetary Disk ($\\.M = 10^{-6} \\/ M_{\\mathrm{Jup}}/\\mathrm{yr}$)')\n", + "#ax1.set_title('')\n", + "\n", + "fig.tight_layout()\n", + "\n", + "#roll_val = 0 if 'none' in filt_keys[0] else 10\n", + "#rstr = '{:.0f}'.format(roll_val)\n", + "#roll_str = \"$\"+rstr+\"^{\\circ}$\"\n", + "#fig.suptitle('{} (Roll Angle = {})'.format(name_sci,roll_str), fontsize=16);\n", + "fig.suptitle('HD 142527 Sensitivity Curves at F444W', fontsize=16)\n", + "fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n", + "\n", + "\n", + "fname = \"{}_contrast.pdf\".format(name_sci.replace(\" \", \"\"))\n", + "fig.savefig(outdir+fname)\n", + "\n", + "fname = \"{}_contrast.png\".format(name_sci.replace(\" \", \"\"))\n", + "fig.savefig(outdir+fname)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Images" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def plot_images(obs_dict, hdu_dict, filt_keys, wfe_drift, fov=10, \n", + " show_sat=False, save_fig=False, well_frac=0.8, \n", + " return_fig_ax=False, **kwargs):\n", + " \n", + " nfilt = len(filt_keys)\n", + " ext_name = ['Disk Model', 'Sim Image (linear scale)', 'Sim Image ($r^2$ scale)']\n", + " nim = len(ext_name)\n", + "\n", + " fig, axes = plt.subplots(nim, nfilt, figsize=(10,8))\n", + " axes = axes.transpose()\n", + " for j, k in enumerate(filt_keys):\n", + " obs = obs_dict[k]\n", + " hdu_mod = obs.disk_hdulist\n", + " hdu_sim = hdu_dict[k]\n", + "\n", + " # Make r^2 scaled version of data\n", + " hdu_sim_r2 = deepcopy(hdu_sim)\n", + " data = hdu_sim_r2[0].data\n", + " header = hdu_sim_r2[0].header\n", + " rho = nrc_utils.dist_image(data, pixscale=header['PIXELSCL'])\n", + " data *= rho**2\n", + "\n", + " # Max value for model\n", + " data_mod = hdu_mod[0].data\n", + " header_mod = hdu_mod[0].header\n", + " rho_mod = nrc_utils.dist_image(data_mod, pixscale=header_mod['PIXELSCL'])\n", + " data_mod_r2 = data_mod*rho_mod**2\n", + " vmax = np.max(data_mod)\n", + " vmax2 = np.max(data_mod_r2)\n", + " \n", + " # Scale value for data\n", + " mask_good = data_mod>(0.5*vmax)\n", + " scl1 = np.median(hdu_sim[0].data[mask_good] / data_mod[mask_good])\n", + " \n", + " # Scale value for r^2 version\n", + " mask_good = data_mod_r2>(0.5*vmax2)\n", + " scl2 = np.median(hdu_sim_r2[0].data[mask_good] / data_mod_r2[mask_good])\n", + " \n", + " #Saturation mask\n", + " if show_sat:\n", + " well_level = obs.saturation_levels(**kwargs)\n", + " sat_mask = well_level < well_frac\n", + " # Expand the saturation mask by 1 pixel in \n", + " for dx in [-1,1]: sat_mask = sat_mask & nrc_utils.fshift(sat_mask, dx, 0)\n", + " for dy in [-1,1]: sat_mask = sat_mask & nrc_utils.fshift(sat_mask, 0, dy)\n", + " im_sat = np.ma.masked_where(sat_mask==1, sat_mask)\n", + "\n", + " vmax_vals = [vmax,vmax*scl1,vmax2*scl2]\n", + " hdus = [hdu_mod, hdu_sim, hdu_sim_r2]\n", + " for i, ax in enumerate(axes[j]):\n", + " hdulist = hdus[i]\n", + " data = hdulist[0].data\n", + " header = hdulist[0].header\n", + "\n", + " pixscale = header['PIXELSCL']\n", + " rho = nrc_utils.dist_image(data, pixscale=pixscale)\n", + "\n", + " rad = data.shape[0] * pixscale / 2\n", + " extent = [-rad, rad, -rad, rad]\n", + "\n", + " ax.imshow(data, vmin=0, vmax=0.9*vmax_vals[i], extent=extent)\n", + " if (i>0) and show_sat: \n", + " ax.imshow(im_sat, cmap='autumn', alpha=0.75, extent=extent)\n", + "\n", + " ax.set_aspect('equal')\n", + " if j > 0: ax.set_yticklabels([])\n", + " if i < nim-1: ax.set_xticklabels([])\n", + " if i==nim-1: ax.set_xlabel('Arcsec')\n", + " if j==0: ax.set_ylabel(ext_name[i])\n", + "\n", + " if i==0: ax.set_title(obs.filter)\n", + "\n", + " if fov>2*rad:\n", + " xlim = [-rad,rad]\n", + " ylim = [-rad,rad]\n", + " else:\n", + " xlim = [-fov/2,fov/2]\n", + " ylim = [-fov/2,fov/2]\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + " ax.tick_params(axis='both', color='white', which='both')\n", + " for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + " \n", + " texp = obs_dict[filt_keys[-1]].multiaccum_times['t_exp']\n", + " if obs.mask is not None:\n", + " texp = round(2*texp/100)*100\n", + " else:\n", + " texp = round(texp/100)*100\n", + " exp_text = \"t_exp = {:.0f} sec\".format(texp)\n", + " wfe_text = \"WFE Drift = {} nm\".format(wfe_drift)\n", + " fig.suptitle('{} ({}; {})'.format(name_sci, exp_text, wfe_text), fontsize=16);\n", + " fig.tight_layout()\n", + "\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.9, bottom=0.07 , left=0.05, right=0.97)\n", + " \n", + " fname = \"{}_images.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)\n", + " \n", + " if return_fig_ax:\n", + " return (fig,axes)" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def axes_update(axes, loc, obs_dict, hdu_dict, filt_keys, wfe_drift, fov=10, \n", + " show_sat=False, well_frac=0.8, **kwargs):\n", + "\n", + " nfilt = len(filt_keys)\n", + " ext_name = ['Disk Model', 'Sim Image (linear scale)', 'Sim Image ($r^2$ scale)']\n", + " nim = len(ext_name)\n", + "\n", + " #fig, axes = plt.subplots(nim, nfilt, figsize=(10,8))\n", + " #axes = axes.transpose()\n", + " for j, k in enumerate(filt_keys):\n", + " \n", + " obs = obs_dict[k]\n", + " hdu_mod = obs.disk_hdulist\n", + " hdu_sim = hdu_dict[k]\n", + "\n", + " # Max value for model\n", + " data_mod = hdu_mod[0].data\n", + " header_mod = hdu_mod[0].header\n", + " rho_mod = nrc_utils.dist_image(data_mod, pixscale=header_mod['PIXELSCL'])\n", + " vmax = np.max(data_mod)\n", + " \n", + " # Scale value for data\n", + " mask_good = data_mod>(0.5*vmax)\n", + " scl1 = np.median(hdu_sim[0].data[mask_good] / data_mod[mask_good])\n", + " vmax_mod = vmax * scl1\n", + " \n", + " #Saturation mask\n", + " if show_sat:\n", + " well_level = obs.saturation_levels(**kwargs)\n", + " sat_mask = well_level < well_frac\n", + " # Expand the saturation mask by 1 pixel in \n", + " for dx in [-1,1]: sat_mask = sat_mask & nrc_utils.fshift(sat_mask, dx, 0)\n", + " for dy in [-1,1]: sat_mask = sat_mask & nrc_utils.fshift(sat_mask, 0, dy)\n", + " im_sat = np.ma.masked_where(sat_mask==1, sat_mask)\n", + " \n", + " ax = axes[loc[j]]\n", + " \n", + " data = hdu_sim[0].data\n", + " header = hdu_sim[0].header\n", + "\n", + " pixscale = header['PIXELSCL']\n", + " rho = nrc_utils.dist_image(data, pixscale=pixscale)\n", + "\n", + " rad = data.shape[0] * pixscale / 2\n", + " extent = [-rad, rad, -rad, rad]\n", + "\n", + " ax.imshow(data, vmin=0, vmax=0.8*vmax_mod, extent=extent)\n", + " if show_sat: \n", + " ax.imshow(im_sat, cmap='autumn', alpha=0.75, extent=extent)\n", + "\n", + " if fov>2*rad:\n", + " xlim = [-rad,rad]\n", + " ylim = [-rad,rad]\n", + " else:\n", + " xlim = [-fov/2,fov/2]\n", + " ylim = [-fov/2,fov/2]\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + " ax.tick_params(axis='both', color='white', which='both')\n", + " for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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bBld+HcdxHMdxnE2DK7+O4ziO4zjOpsGzPTinPR6h7Iw6nu3B2Qj4vdQZdTzb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FAAAg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e3/GLP6UBn7KfRTutbZw/P//H/NXmDY0217PD0O16MX9bvZENhWf5WPg53ha+i53BwE9+sD8l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\nZNXjTBZcX1B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/cw+ccRpHL5pg9QOrRHsVcGXHztXnMzHb5e0X3Mzv3v0CUmfI6yWymqFU\nr2ObTdixhbykqBzu8Mb8S5xb2s2btv9cIbaO8mBM12BTTRQaCCRQWpCAIupY0feNNESgFkQPzgXF\nhywToevAU42i4ryGTm9BgSOg8b3rrhkgbAZkOMt8UMJiTuazNRge1pId5gIHJFz5NHsxqetNBFSa\no4wWf00Rvq31CHCusImhk8QY7bCxYrLSZjzuoJUlykp058pMzgJKkYwZ0noFnUP1YJf4wCxuepW0\n/j42S9xNcGWFVo7j54+z/voZmo9uZvUEmOlVzF15JuX4GHqqySPfN8WGr1ZpXPcgW/Y1SM5YS3xs\nFltx/En8Bn4vfR+/dfwN3Lu/h564dpuxR9vk1Yj4aBPV7nJ6PMMf2ffye5vfQDsq47Snd2SCSljj\nUW4/FOi0N1kzXcneOGOEk554qoPrTSCKyUSfCXIkE67CN0epkhRNB0bQIYbHquJHLvH+M9GW4FYu\nWq2o+O5DfotmF0H1QZZRJ/Ag/Tab8mg6MifIaznKWFOVavgwFtarQpuaWSsIVntWtlGa98s5WS9U\npmcViGY0jZZj+5/Icex8iXAqP/rjZwFwZvkAANXrxgBYdYu8dseOo6cT7lrYyrb6QX5e/yt/vfUK\nLJrs4Z0ArPHjXL5aVChsucx/Tz5Fw3T4WP1ycj+W2rIrmnkMI2oF19c3VQhc3wL57aeTBTBm2BdP\nZMvKpK0Q+X+6xtYn4x4JXGn6ziVAbnrNWPy1VEGarxuQX1k1tDlO58VP58fk4s7VKoxFg3S+alnS\nGjMTso3OtOeu+yEuFlC3UJKYXx+jDjma6zXWK1F0jlcYZZ9qSjhW3SfbrBxbwNbgT9XrpQNm/uPs\nvU4UIrbcINzj/DJpqtGdlh2eXtnPbzY/yNs3vQmrdKF0AUhjKwAv7RaafEQCHvepYQxy+nu+aYt7\nvxgzh1DhRRzfYTuZdtwn4ZcrCX4fUkrdBewEtgF/vuKtP1k2XNm+nPWfhH5uaLEtXSA7odBtQArF\nWZxTMkjnVoI1rwKhcgtJFiREJaWcSNGb6YKbM+SZwtUzamNdtNdMLZmcuknYn5bZvuMAO0triQ/F\ngAQkybihVvXOfWyG7PgsulrBbtmA2X+EQyriinMV5vA4+W33gHPUyhez7qYKU7ccJnt0N9Y5uPM+\npu4caM7KWXse4aZsB++Y+0/88tS/8MfP/TLv23kBd399L9H0FGxYS5TlNDc2OF0d5M3R5zgr2stb\nNv0Us5UqedUVqThnPMqdS9tYnQk5P+o4orbFdKw4v5ZmIS6OoFJCZZkPLrQEw6FqPknk/cCr7A8A\nQrFbeN/1Ku2Laxusv8nFt0rh0RLyL/2av84jnRQTN9V7KBqDsj16jvbqHKajcNqQ54oOiH9GGSWd\noZVlIS3TyWNMNWd+m6O9ThO1oXzcMbErJX70kEw8alWhBSQJbu0UC6uqtFSJC266lz07F6jcCaXv\nuJjmFTtIxjR8ZDXNsyE+c57jR8cZu2uKbOej6Mf3snHtHo60yny9s57/3Xo1vzX9YT5y+tl8et9W\n5tMy+dwC0eE5TKVMZX6GKyv38EPVO3iP+S4+ry/BtCEdh6zmCvqDShQmwXd4k0Iq5f01FGZiFMSR\nTMRyC0nSm2T5LFAoiA0WCjOLQg4XNChHoMVhorIUJ3jRNX8WBcDPUjsQTbItOXjS31M4NldmOeim\neHv9h/mD5vv4nxs+zj8efyF3E/hvPTvL7OUHOjcw6Rb475t+gkSvrCnGKTtlR02DyazJeNZiJj45\n/v8Wc5Qj+Rhf1edSs13+1LyL928+iy/s30Kb8sC6DdfmNdlt/FD7i/zh+PdyU/3sJ/NnPOPthMGv\nc+5dSqmvABcAdzvnHnzqD8vbcmjJqCYHiwKgwaB2IEUeZND69To94ggIougcqlrxjQSk4E1mMtZ3\n0NJFSlXlAQnVMO5Y3WhitCXNJTCZz8oc71SZKHcw5ZysYaRiVCnykiLdtIo4/J6jx1CVMnkthk2r\nufnw8/hv+n1MnfEqjtwh1cnx40eZejQn27uPaOsWktOm0V8ZrOY8Y+w40+U2d9wFTDp+f8+redXE\nPfy3M79GSd/ODce2sFAep1rLOK97hM3pUT6tnstftl7LYTPpUW1FVg8lyOCMQych8O1VZ4uWrMNF\nGtX2nF/nJBCuCJdZZRGu2cJlmSDt1ko1faA0eAm6cD1CUaIyqkiz96P5A/HhsC88U+1EAc5Aq+bF\nXKcBzd9ik77ErCgutKKs0d/IIROkQTk/gbE2I9y/AAAgAElEQVSaLDJ04xLzxlKLq3TymMxqalHC\nuulZZioJreNV3MGYeF72aafHsbUSZq6DSlJcVa5t6e7H+NzUJl6lb+Tvpl4Cq6eIHjlA/pzNlGcV\nY/ccZmz3FMmtdWr7Fmhvn6YyN09+5ChXb97JtXt3wNEHuW16A79y5Cq+d/p23nfFZ7j5yAYeb49D\n43HW1Fq8eO393NvexG9nb+TWibOkY1tXykKyusOVrKiQtLT4aQqmI9ScMEnTiS2yOAUKoRVKy4TL\nWR/4WjcwNsh6XioRP0ZYyVjIST5B4Dp8PUehbM9k312pjdL7LdC1QYRIe+Q3bvl6CY+CJfPy3WRM\ngsZuFpHkQe1BvrN+TFae9UUtaUMQ4LTmi0Tzwcfb2G7H9ceew7t5Jx88eikdV2LjF2W/f3vsP8nh\neQxiw5dFuSEggJeWvs5sErP7zqO4y9bx6/xXXte4lV+qf47uGs2tzW001WFqOuHS2mNM6Bb/kl3O\nx7iCOV0D55sCAa4cCkZAN72agL+/otYQkhY4v0mgGQVpi3zR2LBUm9jFDQJG+OCwraSW5llmS+r+\nhgZBfRmKAW41FK3ig5+WZuX35xU5p51x4eYeq9eoGHmeBY56IyC/Y7LtrDaYmagell0FYaPafTm3\ncAY/8pUv8aGpV8h37pfvnNn4UQA2TAvd2r5rLQBrmik4x2trd/DOztWYJOMLlYt5XE3zxu1f5sfO\n+jdubJ3J/nQS1dnNxug4L2g9ws3R2fzUprfwYHlz0R48LIl75yk09QiId/DToBSh05DRGUbT+/zU\nv3dCPepvkirJSkklZwJlIFJK1ZxzrafwmABf+bmc2sNyMPeoAELpXlrco4ZLwuwBng+tjyPVQ9fy\nHKUVOrGYjsNUJN1qI4ctCS9WOejmhnGToSNHJ4vZPTvJ8aMNutML2FzJek2ppLeRwix0QWvy1eOY\nShmMJpmIYTJGz41z3Z4NXF26nn+YvpT86DGyx/b0jjfLKT1+DDc+Tj4nwbE56wxet/ULXPPImeTd\nFL3QhFKJTx8+m2v3b+f8xkEumj7KeD5L1zT41OylfKVyEUmlhJuAvKTIKpA1XK95mHGioZr2Br6i\ntXNgiLSzoruLanU8pcF/mGVFIxGX54NateGyBlTYykSk4AAPo/grGbT99i+/6tJnRoVymLCtRK6n\n+M4yqWU9GDRJcab8uVwC4NCRMOp4VoRv9auQCZvNFNZqulmEUZbJcpuqSTnSblAppbRLZbKqIx1T\ndFZFZLVxTMdRnW3jxutkq+pEB2fJjxzlU80zeMcLvsx7tm5G7RY1CHvpaSQNDZEh+uJ/FANOdfMm\n7Ka1bJ/qcHpjgesPbsC5hOzAQR6bXMWfHr2K8UOzvHjiEdaMpSjVZW93ip/pvIWDZprOqgo2lt9i\nSyIn5cpWVB66GqfEN01XBmjTRTSLuzmmkwktZFjmLIrER/vUSnoTMD9m5LmgvwOTrSWyS6Mkpkb5\nrXOn1B6+SXaYSb7GNl4+dj/XzF204u9996aH+eTent5qRsRH9Iv5qHsRLzpyG2dX9jNhWrRcife3\nvpPb0h10putP0a94+qy/kp5Tag9PmX1q4VJ+adW1fISXkve1UF/OLnWP4IC78tOLPMSD7jR+u/UD\nTKs5vtN+jSkjodvDyXre2Xg9x/Q4zfKzVDN/CVvpWLqS9sZ/BKwBEuA+4PeBn39SjnIZG1n5OUrO\nKqg52D70ZUADdjBtLt9fzFlTxkiAG3R/Q2BhtCBCIGgRIQi0mMSiUy3apB0lgaIDOx9z2Iwxvq7L\nuuo8e5sTLLTKKCWtj6emFmhWymTzDd8NDfJaCXKHjTSqWkIlGfFcKqnZ47N8tHkW77jsOu5ubuQ/\njsos00xNQZ73pNGAaPMmms/ZyEujr/G89sP8zO7vlENvNqHdwYw3wDnuT0/n/sOeXzw1gR2vkZZi\n8rKWvwqkY468ZnElKWATnWOv7dvtob3STKGviCh3qHZXioigCCpcqy2zPq19Vb0USakoWozsYuWS\nDV/rfl9YIUp207V3FpX0T2uF8ihe6CgbxfEtPuqjhVgvOedbbxf78NxVlRl0Nydqa5zRZFZhS0IP\nsHGYPCqsla5u1ikibZnpVsmdohTlmMiSl9xANz/TEVQ0n6qRTMbABHFzPQebLW5pbuN/1D7EH6Sv\nRm1YT97MmTrUQS20B35i9vheGgd28WuXX88HDz2vqOAHcJ0uulplvrKWa+16mFeQpFCKsbUKdlxL\n4GsgqyrfvMKJZqqj4DarzEubJT7wTeRz0UJ2gz5lDOg+JLjvWihDUQcgmYqsJ93XX0MwSv1hqU6F\nQ7bSfvRPxE7KR59MRK9/cjas8ekRVd2W+74055ce8e163d+sJX59eLZRIGlrax4eDliG5yWm47Ls\neF3f2Ffo1w6Hlsqiz/4BruQPVr+X+0pnsHNWtr/mBiFgqq6gdC6MXbUq3zPxH6yrd/j3/RcBLeID\nMoS400TP+tbac7iV50AQtNGAgbwkxxFk+PJyKPTNcV5VICBpsfSLIeoEJM0vh7m+3lxucWlW/C//\njEbMluVUjmogNMr8+zd98jappFfq6RlLT4RIw8jn+7JWION2kSZtoUvdFDS35K9pWpOMRBI6E87K\n62OVeg/xLYkPpT4DYkqyrcyrPhStrD1vNvI+EO87xt2Ptdl3ccwvdN7DOx+4hOqGDQDU9viSKytB\nnX7kfgBWbW3wa9P/xF93XoNyCj3TBB/42XLEYVbxL4dk0qI64uPNDQ0MFufBwMTfP/mEv19KOdar\nWZiA/HqecvDToEaySOVhlB/1635DcZ2e7DbcKx1LV+IdM865HwN2Oufu4JvZ5GLUjTkK8R0uKOkP\nmIYDjiFxemVMX4ML5x92psfty+3AdpyR4jeVSxetqGMlrZpB1FSUjhlqeyLU41UOzI9xsD3GsWaN\njavmOGvLAaxVrKk3Ga93CpQ4r0BnXZlsuiqoqUdLo4WEaLaLGh9jf7vB79z1An5182d4xaY9mHJM\nfvy46KCuWYOue5Rh7x7+y73/yM/Nfpzf2nU1C5Ob0fU60dYtmDO3oVZNoacmUWMNVKMO05PYRgVb\nMuAgq2k6k1qQtAhReIhC6k1huoqopaSrWybBvkkspptLUYZSOKVwWkEUyUMklZSMy3NssyVc30JZ\nI+kFvkvxdvuXxfX1aHD4G/abfom74aKxp9OW6/DW3zQh/A3ZyIHCWq9J7XzqLpd0bZoVaSinVUFL\nVLkSSkBX4dqG9kyF2ZkaxxZqHGo2OLTQEF3qLNwXMujpvkIIVy1hI01e0jQ3lkm3rcO2Wvyf286m\n6hJ+ffunqZ47TnzTfbhb78bNzxNtWI+u1zGrp9k6nfBnl32Z25IdfNK8GBWXiutou13s7Bx0k965\niiPhkGsIdSp5WZE2fDo5tN/OlcSeIbNshZoTdS069drIWuFMb3JLZGTbRZc31TeID12DguvbU4eR\n9frHI7fk9TtlT789xGbe0bya3xt/Py+ofh2WEDAqqYwfmrqB7564nd949Gq67hRv95R9s0zxu3df\nzo6x47ztvNto6KU7r51VP8yfTr+PTzSfz/XZyelXfzvbSmgPq/0yjBBrnqJjWWxLzUL7Ub++FHLR\npng4AA6BUD8K3L9+oQbhKzy1wmWhqChHZRmqXELlkUd+PU9rtoPpxti4jHKapla0tqZU9sWM7YRW\nZ5LHSpPkZUd7Q4zWjjSJ+HpnLXnXoIHuKgdO0Wkb8lhRPp5RyoSvqVtdODZLdvgwZnKCe5ngf+xZ\nx89u/Bw/vPVurnl8O7fPbaZ59mbYFPOqB+7nVeN3sbs5xi/e+hL2t7vw/PVER+ah1UZ1upIOH6tj\nx6rYcoSL+zooVQ3taU1zE2RVV/BDXaTASsBUmlGUj0sa2aQO05W0usoksFCdtBc4GI2q13DdBNds\nShFWHPWaW2gzhMj3kDgVyYPGZenia5xlvWvmEX8VRRIY2r40dj+3bbhJwTfDRnE5l0N/T9DVbbjR\nBVCgv0Gb2tnId9ST4gaVW0wnp+QcOjWoXLiwybgiq0PUNDhtSMccbavotEpEcU4nzul2Ypn5lxyt\n9Y60ZijPQq2ksJEiamY0ds2LXFg3xZbLZOeczW/t2syb193I+8b/lNt2rOGzB7dzmBzdTTltfIar\nT9vJ6fVZ/rH1Yq45cj4qb2NO2whJip2dEzrMutVFQGqrMbYcYUuavGxIxjTdcU1WV7TXWWzNgnGQ\nK1RXE7U0UcsrP+TOZyU88peGVuUBIZcxQXmNX7IM0qyn8RsmvZlCRfESKg8jrtsohOpbgc8LJ55I\nhg5a/f4d6EzZIHdVexTK+M6Vse86FTiV1m8rsRWOlvq0woF5r8GqPFkynRZ0rt2W98szcpylcH2c\nonxIgoibZk6jWbman17zBX588jo+tXAJ93Q2k3QyxkyHF619mFeseogH2uv5pUfewPFoFSoCE8cF\nchUtyP7yhuzPRh4VbMgxt1b7Yx/zuzfBlzTKq1pEzSEOZaGXeoKMQX+mYRhB8zZcG9BDgIcyS8vt\nZyl7NvjyEAK8pA51WN25QoWEVK6tCiokPvsblb3+b+L9dcGfU/95u1zmiNefni/JGJzlg7rUybjs\nI/FZjeDr47tln/bYDACtPOZXHngNP73tFt5z1j9wY/NMvpBcxDFbJ1aW7fFBrr7wNqbNAu+ZuZLr\nWuej4jT8mKJLXV4VYCzxmQrlfcsFf/BRYECkVTlQDxV0R/upGfLTgJAXyyxswxaZCXcCf/2G7AkU\nuq9U7eE+wCqlvg946lSoV2qjUuGFaoAb/aDpp0WEzYRiFm8FAtx304TCLJSGOJZ0XZ6DVuTlElk9\nAgeleUtW1eQHYhq7RVt1IRYUSieKdMEP1JHDphos2IoFJIWbVUGn0kY2r8dSCDKfY2cks6SmJkEp\nHknH+IWH38CZtcNcvWUXV269g5q6mebhCvdMn87bkrewf6ZEnu0DnWOaoqhApSyKFb6hhItkP1nF\nYH0wk9Y0ybgirzjy8UBDUJBpzIIpWpCG7m4ql5vAtHOPhPtOeAGFDNcqy1DVigQV1kl7UOsWa/fq\n0HbSoIzGJulgEAxeCk31OJhh7M4GH4wDfhKu+zd7wF5u8vZENhfoOIuCZH8uQuEbQG5R3QTdLQnS\nqUUfN25ZdC6TwdD8Iq+IXF8eRbjYYiNLZ6GM6wQVCaG/qFxjUkVa15jUoHOHaXblupZj9Lo1uPkO\n6bE53hW/lA8svJhX6Nt40/YHmNBNcqc5nNT59IEzubF9FmknxyUH0JMT0lK8FKOnp3DVMunqBs4o\nTCfDRpqsEZNVNWldkTQUWV3oDq7sPF0BVFdjOhrd9YVuvpubBL4yQUN5VDfLfdGbhTQjdHJ0WU6h\n8d3vU877a5DhK4q5lmmCMXDxBseqJX3g2RBUfIvY3Z3T+Kk9P8IFlb28dvIuXt24i/J0QtOWuHNu\nIz//0PdwyPk088lLrp6yU/YNW9fG/NkjL+K9rRrfNXY3PzZ+HWO6TeYMB/JJ/unY87m1tY28PFoK\n7ZQtbSu5pf8RuB44h2+22sOwLfWACfJESxXBLVcUpzRBI9YBKo4IwYQyBlWKizQn1uK6XZTWEuhp\nhVMQtSyl2YSoU6I0Z6gcy+lOGpktOSnIyVsGV/LyaqlGdYVC4AzkZUdWE9WItK5RNiLOHK5RxWze\ngJuZgywXukCWoSoVHlp9Ib8/foUU8MwmgqBoLQ/yuRnMaRux4zVodnCtNiqOcVWRHqMkAaU1IrOW\n1hRZTZHVhOfrFP6cyPHrti6oDqYjslnKSoBvvEZqKBJyWhUVyjgnKG+eQw623UEZjfOBRKHs4KXK\nesVtShBqrXq8wYA22bygpAhneCmfGPH+012h/EQD8D6kLeggy9seJe+nUuQ5ThuvThL5CUmOTjRR\nWxE1HTaWbn1JQyY9znjuodPkVUUOqLbBZDLRseWAFAi1OKtAWtWoLEInFYwF3WyLn4bj1IrWguNf\n0gv5l0PnY+cX0JMTMD0JYwqVzGAXDsm6rbaoqmgF2uDKcbENWzaktYhkouenaV0C9rzier3mM41p\niwSf6Yifmq7rNflIhO+pUk/PyUP3wRD0ZsIr9vJmSokk3EDGwKO8RQvu/vGm0AQ3g5/123Ch4zC3\n+5luJ+iUuSQibG2B+qgwofCc2lBPoRM5z6U5Wdb8k0n5TmjKGRZ0A4BWw0s2Dd/evjo9qNN0J/22\n/S7Lx1N0Mlhb4GbnuZtx7j5ypbyfBvkav19fme98xy+qZVwp8vvxShRTsuz4/SWTyu/fb9Lru7qS\nPwdtQzwXEDVZJ6gImI5H0rJA4/HLACYEfm9/98Hw+4e4vb3uhHrkerLukALEs2XytdKaCU6M+Bbq\nGCrqnbOA/Ab6Y9D99Rnh8qx/HWrjvU5zXjUkno/bLfnter/UQT3BZwDyil96UKloQtR3XZX3u1lb\n5yOzl/NP+ZWDvy1NoI+N48reX6uNogg9qEsk4/4zfz6SMVl2Chpx0Oj156+rieZ8llsktombPkPh\n+fR6uANhoenfp+1f6PsOx2VPwZh3Es/4FSG/wCuccx99wgf0BGxR5acvWCpsAEmxiwOLYXWAIQ6w\nMqpQFCgkUIyRQMLLGRVt+LSSwSZJiyItPd8RvV//Xb2QUPJc17yiyaqK8gxgIR0DZ7yyQ1nazZqO\nSKNlVSdFSFUwXUVita9S1wLHuRoqjrB7D/SQ6UoFlTsqj82A0eTjFUg07D2A63RRpRIuMiI7NjNP\nfvgwZs0a3OQYyjlsKSKvxmR1QzKuSOuCPGc1R151ogaQ+sE/VURtCSiitg8oOr6AqGMLTqlyyPmK\nI3H8bHBgdl7pwTknhRqF/mnea1kcrmVOD8XPMuGDwoCe70iu5cAOe4HJ09aPfpQc3xO1pQYKpQvE\ndyDNbIxI80GR5jetDJ1ZbCxoP2iystcAzpQUijmgFaEycT8ih+5Kx7QQRORlCUCV0+g0wjQ1bm4e\nu9BE16uoagXVSXCdjiClcYwea8B4g3RVDRdpSs5hcs+LzS2uXEKlGU4rXKRxRknb7HJE2tB0JxRp\nQ5GXIS+DLTlshDSyyISSY7oh6AXTEYUL03XSgTDc96FNdlB0CBz7PO9x0V1vPHD9574YP5YIbgeC\n2iUUHpYo0BnoRz95Su3hlD0z7WkbS0/ZKVuhrXQsXUnw+8/OuXvCC6XUpc6527/hIzyBLar8HK70\nh0EkZbnAov/zvv+VMVK8ZsB1RY/O5UjKuBSDtdgkKZoxqHJZAowsExkvwOR5TwYtzLiNb4CRgo9K\n5CGtIZmAUDWvMojaSgr1nQTANlIyi3R9FZTOoceFOOayHOIIW4rQaYZqttGlqDcznRiHVRO4ciyz\nMa2Itm4hXzNBd7qCTi02UnSnIjqTimRCkVchq3ipNi/XpltaCqNyCl1fFRolpB5R61p0Zgt9wkWB\nnu3xpouiLCi6t7l8GIVYrGEL4AIaEyTqCkRjhB/0K394e9r60S+HSI9SsBhYbwSKNuo9Lx2H81Jn\nagh5zHKINMo5zEKKanXR1RJo0EmEqWuyivKtrSWIVM6zXWqA17DWKeKzwtQhLyuyDKKKlkmWNoLs\n+mPCOVQci9KH0ahSjFMK0/ZUl9yiKmXRCQbSNQ1MJxM6TiUiqxvSuiGPIatI4BuK26wBlFe6SBQ6\nk6yJ6UhjC5MEDWrn70M7iBIG6kMf5xfP+XUhIB9A14P2dH7CsWYRr3LUxLzvWsq9MFhF/xc3//6S\n238itqIq+iczKzLcQUurgkvp/K1cUJzC7j0iW5rxiHAmcJbyLa6U0+gkIK6+MDIInIRiRxMmOLLV\n0J0yC2oLscZUPGez3QdsAKosE2wXUMCQXZqUcTddVfP7koJegO6UrNNa4/me6/z7q/y4Vx1CZhOP\n9i7ogitaIGmher47WD1fcFBDHUU4j6GlOT2kd5GNktqDXpnFyDFmee7k0zaWDh/fyM9WhvgONAwa\n/l743eG8h2eW56hHc/LcDyocOpXxy3qEtnxME7XEP4MGcNoISK/3Ld/dT4ckgwcVuhPyveq204gW\nvJpsAOD8/lWrO/h+AIMqcp/kNfHjrGbIq16D2G839Uhv5uPBZEKOKx0fqofxfPR4zlCa8X66MOin\nBeIbdLuLToTePz1yXlDKRtmw/z0Vag/LjKUrCX7LSqk/AO5HHiGvA77/STjGE9vwQ2OUggMsTic6\nNyJdOfSVPEdFWlDIYWkU15MzGii4sg410fCySEpeZ7kUwEUG5RzxQkbUUsSxJq8o0qouOk05LYVj\nLpIgwvjWyDaiFygDzijyskfVgoLCWF3kw7xygu6m2PEqeg546FHyTpfotI04T2lQaY6LNMl5m8FB\n2ohY2GiwsUKnTlC0ijQGyKoS9KKQNLKTgNckfcsUXyTkj1FTpFXCOVaJtDMON6bLcly7U3TIC+e3\nCGZV75xLzOaWJcEPFDQuEYQorXBudBD8jLFhVYtFn48YFPoL3sI6WvUplfj0vbVSVOizGAogzzGt\nrvC9rYPIoNsZkZIJmY2MSNflUuTofHCrPCKsMwTI1HitYPmzEWRVTTZWorR2lXBoZ+blWkcGTEko\nDGkmDw/n0AtdVLONm5uHqQnsWIW8VqK5qSypNCX3SVZWJGNK+OixDNh51ZGXZXImxyBZCd1VPcQ3\n8dkJ76868x3d+seN4D++9aZLU1/g1qfQ0FeU0XtIDk2iw7ZGXru8xw0e1dnNX9MntejjidiTGfQu\no1EdJqxqeH+hnax/qJuOTzd7pf2gyqFsVMiC5Z71kJfktY19ABCoEv4wdMi8hiC4YYgXQlrYb8QI\nN8HWK/44ZGlrvhWsl7TqrvLLCSOTLyAZ92nj1XINE98uVjX8Mvz2BV8cNeuDinlVNPMITQKKoDcE\nFcMFRL4wsAgqRtnJaISPWv/ZbKPkIL2daHIQZAwHLEwsAv0hfMX7q/ZBXlQKLbX9tizk8WCQmY55\nyTsvkxboDaFFcAiCw2QuXV0j8oXoqp0M7BcfZNuKn6x5mkOg4KRjnuJQ16QNT2+Y8EsvZZbVZWmr\ng9e/mJw1faHojKI0I+uGSVpR6JYFGtMydAdYRM1Z1paYrD0hW0GWdSXB73OBTwBb/etVT/yIQCml\ngZ8Efht4WT+qvMiWShmfiM85jK71v+fcIIIYTnSgSSgtqgRKYdPBHt1oeWCqOO4dUwj0jEJ1c6I0\nxxkpJnPGEAVOogVnHHlLUrch+M1LghSrXAJh5eShnVc1TseU0xydxRK4REbkyZxDdRLsRBU73SCa\nbWDKZdKNq0BBNNNGHZtFVcosPGdCth0JemZL4JQEvnnZYcsOW8+RlrAalQpKHXWE46sT+TOpINk6\nDXq+FFJSMgnwVfQ+yHFZhut0eoVo6YibweY4m6Pi0uD74dr1BxjaLC6QW8pfwk00avL0dNuo4OlE\nxzVK6SEgjEMteJWRyYfyfOhAPQDAaNxYHVuOpeVxNydS4hsCo8pq1ggaEbXEL4NsmNODf8rKMqsY\n9EQF3c6kQYv/XU4rCcK1FrQs8CbjCKoV8lXjpJMV8pKmM6XQDZHbQ8sDJGvI/YHqaRM7I5M05SXN\nCo5vu5eV0EUA7FVIcifcSQf0Kz0Erm+aFRy/4jINZSEKBHiRHnXftRzRkW+AMrGcuscTqFY+Zafs\nlJ2yU/bEbCXB7085524KL5RSZ36D+7wIuBlYWZe4UYHuKOSvX8ps+CEzXPFfSJv5t0slQXnzHKUt\nWA2laFBKq1wWLm2WQTNHuWpxLEE7FItIhxkfWDgJFk1bFYiWLSnyWPl0rCOrCk9YeSRNdHND4AC2\nZAppEpQSRK0IoMDFGrtlHbZk6E6VcAb0RIl4VQ3TTIsAJW30UGYXCdk+r9oeimYVKlXojlAdQkAR\n6BvSzjjQHRymkwvlwTpJAWW+aj7rSxcFLqV1BcWEpSaCo4KJgcmPlesUmmMsESQUCJMxoOLBgPmZ\nFFgsVYRJD7noRyyKcxhep9liZDtM4KykRF3qC7jikqR1IwNao7spdEHFBlSJeEGhE4/8e66t6Y8F\nnRM0TUmRpI3El3XmBF1T4IzGViLUeE3QqiQFrXGxkQK7aozqZBLYrhnHllfR2lAmKytMKgWfTkmQ\nbWMJevOaK5BmF4WGHgoyj0inoLvip1Hb9YLfIggOMnzWo8C2h6AEC00r+q+Bb63dfy2Gr8eSl7VP\nh9kN+/rwxCe893QEvk9kIniyyGIw63qFq+E3+uyPa4fz7Lfl6Qbao3Flf5xRJ6c06+kOoXlEOdAZ\n/P0ydDh2xPvWI2pusupfiwxUoFKAvA4tkoN1J+R1c6MqaBZ52S9D+3ffOMZ5BE35RhahuK10XI6n\nPOsKyajSgnw3FLrppRBfXyDofBOOoDgEoFyYCA/+/m8pZPck7ET36aj28MVnQ+8V6kghvR/e935p\nmnI9gtZCaU6TVTztwdMOstlBPw2oaaihcCF5ZwJCG2NNKAT1Da264q95OVAYBIDL6rJe16PLIRuR\n1cB6HCILhXWhvXYovAuspCBn5ltsl/wynnOUPN2hKMhs5/473j+H2m67xPtnXxvu4XbGJ53tGgkc\njBhL+20F49uSwa9SSjk56n1KqS19H/0Y8PYTbnkJ840yFqe/TsaG08bOLQ58lwqOiwDBB8DODXR1\nU6USQUpLVyu4LENFkbzvLLbdkSA53ASVCioyMkj1UQ4AdGywlagXpEYa14FYq6JQTKfKF/kEHpDF\nGR8QW0fubySdGbAxLtLghHPktEJljmSqTDJuMF2HjRQLGwyoiHihSme16J2GFrA2lqK7EPiqXEEa\niux8Crkr1Z2m7YTykDt0Js0sVCYdvkxq5QawDjLbSyv787l4wmKLwHegoxsIDWLgWi6B6oemAktw\ne4vvh4mN94lCA3jR0+EZYKMq//ttFCVn+PwG6TdPhSi+Z3URTMh7DhU6VxkDlNDdTJQ72oK021hj\nI+UVIfoeCs4HviVpEKFsj0ercifpaflmUCEAACAASURBVK3JTFkanpREQzovG2zJ4CJFPJdgY0My\nGdOd0LRXa2wsfpdV/ENA+8LLsutxODNF4BsrL8+m0z4/TfraF4eA14rCgw66vkVhmxucoAUVl1H0\nhaVaFI+6fmGdkejviMn7ou+eYDA/ZafslJ2yU/akmVo06IcPlLrFOfd8pdQuYBe9SdEW59wZy25U\nqX8D1o346Dedc//q13kUuHop2sPMoVkXHgTNmSbNWQGKr3nX57n2XZ/v31nv/74HSCGjBb2HUj/i\na/uCqLApY1CVshS75TkuFYUHVYqlmCfPyY8el+35znB6fAyqld4DNY4k5RtLoU9oiOGqMXnZFEEr\nUFS2gyBuISBOxyRgUZkI9AfkJAQZNpaiC5NYovmU1sYK7dWaeEEQ4/ZakS1zWtQkQC6eNYgmqpNA\nQ5A04fUWwW8iXKR4XgJfQdJ8M4tMggrTzVGJFdkgpVBJhupmMkvudGX2FxoFeE51kOgaUNfwhW/h\n3BeyZ4sdanFwsBRK5j9/7U++kqt+4mWAVBHXJwXRmVwzfhhYO/rLJ28r9tMljrP3uu/c9AdPYZLV\n38Sj/2tR1GsqEJBh1ccFjn0GYyCFr6FcEn541IcmxwZXikSs33cxBHx3OJmgWa/EgBVfdEZhupIB\ncLoXNDutyKpCpXCKgmueVRXdCe3VRSj0orO68xO0wOntFd6pXBBf0ZVWRSbCdKA0FyZm0m1Rd6XA\nTeee8pCJlq9yMilV3VQ4yO2u0HI63cXtioFFRTHhHA3rSZ8ogF2Gn/7an3wFV/3kK4BBH8U5JtdO\nPGlR8JI++u7Pc+27vjD6S8vRhZZoGrBsk4Uhuk7hn8F3wyQtAAhVwdKcL0STLnwB+R29DABCGF8D\n8hsQYlH+kOsbZJ+ShkfnfKvZgML1GlMMLpOpPChh9gQ9wvzVt4ANeuhFYwDP7SzNyfkpzzriptzH\nxktGGd/m2fjGBIEDrXzhk2vK0nb7qHgnahO7HDXwRNb33aX89Js6lr57CT8Ntpxs4FJNLoYBh/4a\nimELfhr8s+Kx3lAo6SldrhwVUnjh2Z5X5XXg/Batq/PB4wySeVlFF7zyUEweeOyheDOt9xBe/n/2\nrjvciuJ8v7N7zr2Xe+lFjD2KBRsqqNgNAhpBE2MsUbEioFiIojGxxIpdQUVB1ERQk4hdQKWYoKAo\nYEFsRH+2WLDQbzvn7M7vjyk7Mzu7Z88t3Ivs9zw83LM7OzM7++3sN++83/eB7ewCQL4dK+hX+NKx\nDj7R6xIgFNfXLNdTEc4sw/m9ZWtpsDPBOemZaq6nHPEm1TwtOA8AQGuYsotEVlSN+S+kKdIaG7rd\nkLk00viVBQg5ilL6vPL7SErpjNJ7G6r3c8QYv8sWfUpH7nNZ1MXBR0UYtVFe2GrIM3FePaYgOyST\nhdO2CijLgtbUsg9jPgdSXs5CNXk+/HXV0jiG48Dp3IlN2Lk8I3mLpBhlWcB1WTpkQkDLsqDlrkSF\n5ZYw98QHAEoIClUZeBUu+4Dn2Vav14Y7quUovAqCuk7s5ShbR5Gtoajt4qCuC0N4vTaM0uBzaoNA\nz0CZAcGiSBD4HPXN1DLjF5Q5DGU41SFTw5yGnALbPnZzPouV6tEgoYXng9R7zCM5XwCpz4PW1LAt\nOsppJHw8qOcHFASLVy4LhebajV/1uYvro4xk2zml3ln+1MUA+oQvbpjE6mmUxDm6hXYwlKgAqvFL\n2C6FCM2ncqZluD4oxjE3YME5uCIKg/re0GyGpRHOOGApgn1mEGe4DovFGmEUBZpxGP3B8+G7LFlL\nrr3Lwv2ViXBobOL2ygnXScHfZQaFU8+R3yoWZo+6FCKboJiknQI0tNfJg+1A1LNtOafA9NSt81kE\nkhxPXkHBdNQTfHRGxyC5PGh1DWhtXWD4KhOwtgAxHGmsyVRsC7KobboEMv7Nm7BDn+2azPi16mgx\nQyg1frXfG7PxGyXrdS5N4BchJTV+NzrjV4qhJ+PfuDFyLo3l/HLntHpCyFAAXwKY3RSGb0kSxfkV\n/9u2sm0fHkIC9Eypg8X7pZLmgEyGpzhliC8cAlpfD19wTQmB07YKfk0NnPJy0IoyhiaJhAuc40Lq\ncyzJACEs1FO+AFrnMKNEOMoVMnDKXelJD9dhlIJ6H07eg59xkOtYhnyVg0I54UguQb49Q22FF2e+\nLQXNshBQXocCm4zzBMhSuKsyDDkDJH+SeEBZtYNMLWSYFeIx3qRbzwyJTD1De4nHQpoRj6NoPuVb\n0Px3jqUzJiKkCd+Sl1E0CIvtS1wH1BMLFejGhgjormbhi3MokoaJRTdsC6HWFPUhjruk3hcA09GN\nuGCTsLodD0iOr5xUiMNDePEdCs8DI6KD6SfAHOJUO85l0UpQ8CQliToiWgTl+ukGVAhC4Ps0MIqz\njIuZr3RYUpcy5lQpIoJ45cyA8LMUNAt4ZUxnQR1uHLOEFcRj3HO3jgWOJx7Ygs0LnC+dQsDrFTQH\nhyeycHLBwgxAsFDLMcc2UuB8ZJHQgnP92RCTkAGnGsHUVxYlNmdcVe8a6mi5vmgPSXdSVImg5kQZ\nXVQJB0Okwch3unzdERYiIYDYFavlH1Vx3nGkVz7huxUuN0SEsREYwbyNLDdsOXWMukRye2u6cS95\nYTRwoMjniSjyHUWYSfafCI1GfAIiIi9y40HMoZlaYfSy35InKZhG3FM+W+0hI4zfGgYIOPWcOymM\niWpuRNTy/wWXshSDwXy2pRjDjVi8rVcpIVFM1G6OVsZMHGJSLAW3Few5ISeSYSjGsZg/uUFM2jK+\nbkb4YRfEjpqupy7X0wLPEwAAHjd2RcQSj7saSb455/P6/H8Z9s+hADd+3Vqx+BOLM1bE5Srl8sVZ\n1khdXLbWR7ZapCHnVM46PeRayOjleirHUXXGLpZsxJQ4KljUvFUCfSyO89sBwMsA6sEM360B3EQI\n6UcpXVW05uh6OwEYCRYgexgh5DHVoS4kcVEeoj422m9fIoJRYTe0h5LPgebygMvilvqrVoPW1weI\nDzfAaC7HPNlXrmYP1/OA8nKeDCPHtpszjAJBslluOPg64ub7IB5zQqIZR6Kq8AGS9+B3rJD0BK+C\nrfoKlYy3CwDIshWh4PH6bXxUdKpDNlvAulWVICuzzKit4VvILjjyy8NC1SohS3wRKopTG+r49nGB\nO7SJZBY+lSgayTNDl+RZdiyZx9tnhhflHF2SyYIicHrTDIwkk6p8xp79eKhchI60JJ/S1rZJ5Lfw\nRSUX3XWCyCJ5xWoVjkKUBs6E1A+iFXgei7RAKUeE2d/imHg3COWTpUjwAjahU0LkAg4+WBuEocgO\nFRMwQ4v9DIsm4pUTiVz4WYBmuNFLmA5SQKJlNENZ6D8KwCc8egNhiHAOWhptUuCOlzzaiHC+ZMZw\nsCshHDAJ5/jKnQnukClDmxkOlUG2K+VZqPNIEolz0FV/p5JKKqmk0mISh/xeBuBySumL4gAhZCCA\nPwP4U0MbpJSuBHA9/xcvNsMlzuANGok/TogW7QEASDl3jSQO+9vz4P34k4TvtWr4as+vqwdqa+G0\nacOM2/p63RlJOF8Rvl3qeeyb72QZwkZ5GHjig+QoM5izLlsRugRwCXdio6DtWfQHmoF0VCMFZjQ4\nBebZSTyC+uoyeBUEtM5FxY+Mcym8SpEHD1cWIL3ZGsoQOZcgU0+RqeFexwVGdWApYX2eKIAyI0rd\nQvZ8mSiA1tQGKz8FYaf5nO6EljS4etJjcWJD6NaXFN2qM9EVS5gskQnP5c6Zvh8YwoLbboQ7U0P2\niW0nIvjnVHdkg0OATIahdCKKBt+CJlREMnFAfYc96wzXZ0LYORJwcwW/lzpMLykgUyKLXQenwMoQ\nEPiF4P7dGqbfbp2g4jC0lxQ49zxHZcQREXnCybOoI8RnW4iC48sWlSKNMduNkAu0fJ7/XwjGCtB0\nUk9U4dv1Jm5HqjGyvnW0WHsxOpzYazsJOif6oXiJA8FcywADgzoh9FRSJdgcLpBfuTAEj9lb7iIv\nt5NF382tcP5fXswz7H9HoGbcLwJQ4rSKLvIEAFkeuzdICMD/51F7MnUe3BqOoPGkL8IRVdIc6uq0\n+xfRBqzxp00xnTSLoWRqmZaWUvuRBAEPAQqCBmG8+2pUElFWjFFB10v5W9AkBG1HCZlI2jCYVmgh\nkc+Qo7QiZm97Xq4QIK8Op+rwcNcS8PJFRBFZKfvPEVSbGmUe8wXyy7so/jcSq4h42G5OtC+oOD7c\nanY/guYgkW4ZhUToKf8txsUyN5SajCW4sAF6mmAejTN+iWr4svroTELIIclabwKJ2lqM4vda6Q7B\nVjkpL5cfPacsyx6USGnsefBq61g5V4nnqTrIiWpzOahcY7+unqGa3CghmQw/TwF4oLU5UM8HEUZw\nLhdsU2fLmDFT2QaUeCAFD04uD1pZAbemwA3PDLzyrOTkUodn5HIBEDYhl61haBvxXRC/HO3WMIcf\nP8uRXiXjlXhxGE+SbRdr6V99tjVDVEO34MsYvqTg8bBmBZZxzvcCxyHVgc0DgqxYCpdVRdQkAqlw\ndVWkzCwXtV0bpRMtKQl5SZFCHOaEmQ2/pjRfCHYyVLoIvwbEASEEfl1doMM8NTdcB8hmmT56PuDl\nILPwOA5DSn3KjGWX6TND7R3p0AmXGcO0ogxO1kW2hgDIIFvDHNJoBvB85khJ6yCzYtEMN5D5Lbn1\nzNDNrqUyxrWbV+JIU+7QVu8jU+sxZzpC5KTv1jLOrqDhSD31OfXB95nzZS4P8B0cNb635nwpAttz\n50zxDEyajny2DUFz5TvQivU2lVRSSeVnLnHGb1Qc3urm6IgpWp7vaYtZ6k8g/NFR/pYRA2TIIZZl\nCSQr0TFWh88cByhl3zVAM74EtxeUbdXLjGSKyLi14lolCxSllBkaSkxRks1o29q0UACtrQUpL4B0\n7ADqOoFRCTBUNeOAkCyIT5GpozzZAIGT9+GVEWlAiGxrIhuSU6AoX82c3kgNApQsx7aIqUPA4gn7\nLHJDgSO6PB0yi+HKDVSPo42cz8uMYx/I50Hrg9TPAmFUEQniEFCozoWW52bjoalGbpTE0WGMY60+\nH72p00Bg+HKeo3DMIq4DKtB0Q7RwZ54HP6cmDlGRI4c5Iaptc1QZQJAJuFAAQQYUfNFTVhak2ZTp\nVrnBmfPhZnxkah04eYZUEA98V4H3j7IdBsb9BUBY2kzG72X6LeLzSmTOZwsyN+eD5PlOhAC4XcLo\nN0JHeRizgH/OjF+ayzM6k/pOChqUkmlN4/wWQ5RKNVolxcS+8FF1tKpDdD76hkiDdNSk4yQRuWDg\nv00nQtslYmEndE9wW430rQGKC/2dAGQKYNGsylkHADcrAAwgy+dI4Qwns8HV68fLOIdT0JYzgidZ\nRyVnUiC8woHJzem/hXOdQHwF19PJFeAIxLeW7yxyjrNE0kRcX6rroxn7u8mkGB+Y/+47uDf6Du4t\njjbtXNqxEqMmDAOgp6hNJEnQQUOPg4WvggAXGVOZsluguGb6aQF+ARIFlnOlEWNc8Nkd/g645ez/\nMgDUEbtvHKXm/F0vx3XbiA0sdneFU6WTB3MeBgJOutyZ4MhunQJ4AUH4VR7D16334AgHTM5Bh9BL\nfm9yZ0aOQ7S+NsixzZQEFMakc2mc8Xs4IaStrW4AY4r3snFizfPNkS2rN6eZzpiw8uyj5jN0UrlM\neMHTXI4ZDUa2JadNGx1dAzSqBEuIIZA2h0UzAJUvBXH1rWoKw2D2fYaoVZQzD+eMy7YUfJ+9QAWP\n8xVZPN1MjQsnT+DkSUB1yDBEV24tE0gno0ytj4ofcyhUZVBo4wSezsLaJ2xyduoLnG/pS+WnWZeF\nLzNSF5KCx/4WKWFVwxdg3rIy4LrHuaouaEGhOqhh5+SHTYnyYCJj6jONEm1XgNetlF8w/S02kRLS\nMvnoTYlZwLHf3NHN4Qsp4TFLfWbQ2iYROZaMo+uLyBDCEJAZ4FxQyniwVPKAnWBiFu2JOqnPFEos\nesTxej7pZTMgeQ+OS0DrCTI1TpAoQ0nbSQlklkORKAMQEUuEAwjb8nPrPUmrkAszmUWQceLhElCP\nBNzzAuefez77WyRYKXC6A0+6QimVYynTD7MBCv5W5xjbZNtQpDamLi0f/Zs3Naz+CGmQjqaSikWk\nnlLa9HPpqhqMHXF/U1aZykYoSefSOOM3BzvKWyTHbBOK6pQj0UDLljnfWldDFMkPm8XopQUWg9bJ\nZBgvUTqzcTTAdRmf19cNX4EMSV6vk5EGCi3k9QxcHlgqZMHP5OGoCFwA/PpsloVMoRRkTTUzOsSq\n0fOBXJ45FflAxnVAMwSuiK2qJMKQ2eMyBHlKkGtLuHHroWJFNfzKMvhlGfjlbmBQ+FQLA4WCz3jG\nHgXxfZB6jpJRGnhcez5DJnj8Xrnq4wYXLRR0z07isPBm4rlFcX15VIiiXG7btWp5oQum2JDV9Slx\nTndq39SdAZ+CEH0cYuMgC24wj+agKb32NwF8RyIYLE2xHxjCKjrhusxQFPHK/ODdoyKaScED6nOA\nA7iEyPBn1AH/O9iRkPGlXU7RoUCmxpfRRESIP5L34VDISA3yNvPKooYHDSH13JHN8wLueSH4LdFe\nSoOFhClqcgpiMYDFc0oqxVDh1kxzsCzEil5SJOQZP6jVZ4aUkpxWeUCvQw3fR7mOCsSKqmWAICwV\n/+2s41BtoUznuwNweXYrgfiKXQqBGosdCMnr5TsTANs5A8IIr+h7gPRy8ECEuczlQ5nbIEJDSW/5\nMMc3JA3NuJdEiiFsLc0RLoZUa+eMcQmBB27MuWJ18Gs9A7xBgI5KHrD8tvOyPHyd2P1weNQSorwL\nGR5lJFsjIpfouxqyexy4EuiuSW8ElB0KkZ3N2JGQCLDI2laXDzLc8Z0JuUMhub1cP6nlWxX80M4V\n5fjKchG7w1HHSpQ44/dSSunCcH9Ib1vhZhPzQ2L+rQ5QsO8VGKgqGgiwvzmC6+fy/EH48Q/EQM+Y\n4evKbRJaYPWoD5xk2dYz3GyQmUyIB4a0imQaypY2Mi7fSi6A5AgoAIcQYB0ABzI2MBXJBgCAsjBT\nzBmIgBKXo2sOHMLQMZdnuZKIWt4DqfcCg9fzgmgBeSr5vfCZEa5ye+Uz4Nvr8AAq7p8nEpGIu/bc\nVCODSITTmjigMcZG6Jm3MK8yiruu/g9oukccsSjgH3zP0wxfM0uelhJZIL6OuaNhcTwShrA6mapI\nMCBTqVKRyMXnFCKXhVQjKPBrwBZlhKPW/Pn7PJSP0D+aCRZuKu1GlBGpiFFgjmtyUSqoOGIcfSpD\n7aHgBe9SoaBEHeHlRcpnC8dXGw8zS1upDpallk0llVRSSWW9S6TxazN8+fEGkBobKHEOQzaUUN1K\nF0UzWc6TzDDOakU5Q7rU8GXs4qBZyRtWjSidFiG2g1lZyuL8KSGmCCHMYUjw0YQBncuzlR4Pf8bo\nA3mQ8jJGD1idC7ztXZfFBwYYAkyZExKpyMgc9QAzGArIclSXSF6vX+ECawhIXZ45KpW5QNYBEckq\nfL6FTGmQoY5vMUPkkPd9toIVaK9A1SQqGBgKzKBAwJ0Wq2Ibcs/HsFEZh2MpEqbR569/o8Tm2GRD\nKAyDWKDmIlxcqNqM5bUNxUB29P+19gxUOAYxonwBRLIZ9lxFWD+HBAldAPZuUQqnht0HdRwZ2JJ4\nYmHJDWAnMH5FFBGaceDW5HUKjq8gvwKV5uiuREc46ktFjGmRVZAnobGGNzTDmpnjGCUtvYhqDknI\nj9RP2ZHeyOgDcQhPFMfajGooQkWqx0R/jN/yngQCzNEzx/MlP7ic6092nZ4gQyQiEMBCkIaeyjpk\n2Ed5js/xIgaq+W0SPHmxU1afC3MmxW8D8Y0U2/nGIGmR7ZSAsDaFlLrrV1LdRZByK/CVoAwC5JP4\nwZwd2UMRK5ij/JL7K3YDPBdZPu9l+ByarWZ66pVzfTXfNarvRghUl/VJ34mQiK/op9iREJRNqZOF\nINqVQIC5zaSF2wSidU/9vtCEur2eJDbJRauQuBdWQ31VQ8MJDAiHMHpBPs+C/+fzIGVlzDBVjV9K\nWYgzgeTK9nQjSk1Bq6FshohIEtTzg0xnqnAvdGQzDPGllGWcyhfgVLHQadLpLpdnL5fj8FStNJiA\nKUszm1lHmdNcxoGb52GfuFLTNmWgjgOnLg+yujaIM8xDlVHXCRzZuCEslV6hOEhHE5+CwNMNNEK5\ngUTDaKOp7ILjq6KfUYZsMYkqr6GtLfCyRe1YhCYCxfC1GawiMobjatQbLdObGyy8ZF2qqAiyEQ5N\nGiw+5bGYjcleLHQ8T0YskeIzigHJZhn9gQQLG5JxWVITAG7eCUKjUSpD+VGHhOPxyroh4/MCkGi0\njOAgtrzz+YDywHnMIYpD1JZx1MIgLhRfKqmkkkoqG7y0WuM31kPZXFmrxpP4oLsuM3JzOfnhpoU8\naJ6hRhIRUo0UEecvarUrECOL05Z0gON/g/JIEsIYpKrRwDmWrispGDSXD0KoESdAugTwJfrhOAwJ\n5g4+cB2Ac4WcnAe/ghmghCPSoBSkuo615XksHaPvM86ZiAGrruIEiiZWeHV6nGNhxLO+GosN0/DV\nOJQK+ivDn0UsaEo5nkD6DtqrZaI92OgY2kpYvx9piIYQigARDvF+VaNW6KOxSAtJ1DEZ7zJAcwGG\nNAs0lfKQZ0Qg/JQE9ykcNV2H7STwRR0cBzLBhuOwlNs+AbIuo93kmeErozQoi1oi9Fy0wZ3ZBO9T\nZGrTorkIsaCK0hcgbkHUAoul9R7toQRjXs0yqIklIYvtuLWuCIlEkT2PgRdAEOdXxAKWF/NrXeP9\n4rtYpOBJVIvU8cxqPEYwONKbMVIom6iZAB2AAOGVHEkRuUHsool+CKRPQdFCnMkIxLdJIzo0gbTY\nXCqEGLrYgDi/UVEf2Cl7/ZGpu43j1FH00tzRE2WMeUrsAohsachmmM+NIkFECA6icf67n9HvRe5C\n5MJp2K0O7EAwb0p0l//O5wK9FDsTVH/HE+nnep5Pk86lxCQqtxZZtuhTOnLfP+sGriohvi8ByWSD\n8w4BKSuDX10Dks3AqayEv3ZtmF/Kjc9QmCPJa3WD3yaXVD0PBAkHRH+U3yRbFhgY/MVx2lQA2TLQ\n6mqJDpMMd6LzfJCKimAiz2YDo4QnGgAAmnEZMuc6THmzGbZFmC+A1NSBtm3DJl+BItfWcwOEGSi0\nri540YUB63uM4G6S2cXiQDr9Kfdt8ifjnps4bkN7o5zDklBgEsh6zUcvxHYftgWbKGKOpZbKWDV8\nA3qEqq9W/q+8RuWz6u2qukmISEvNdJLmcux3GctlT9SkA1xn5TWOE+xcAIHRSwgL7J4RBkYGyDhw\nanJs4heGrqLfGp+X83zlOPhURhyByC4o2osy/M3xFWMsnk0ULSVql6kZZPybN0Xmo2+IyLm0FBGO\naYLeoor4uEdkzLSCB2p9atGExl1IT4HwLoURHk2GURP9d4LQgdL5yNWvEYkHaDnXczWknynC+BXg\ngXAGEpQx0WcxXkoCj7CDX0KjN5GxFzH3RpVroKzXudQ0em2S1FktRsKOmIIOqNPJooxkrYzQLUMv\nTRvEacNzF/NEWySb1ec/QM6Z1NBpysOjiTYCZ7Vc4LQpdEkm6NCN3sDA5bQLmQCIht/xuFBmqjSl\nwdsIPY2bS1st8gtAv2nTaAgd5w8/mwlQIO4kRHM+0KYiFNWBfTS9wHkNXti4MP82H6qvoGMCbVW2\np9XYwyzVrwOaLwQxWQsFliQjm5Hh1+B53PPeA6U+oydUMiNUJOQA4ei254NWKBw3z4dTUwfatjIw\nfFevYy9ieRnj/oqXcN06+Ouq4VRWBh8I15FhrbStY2E0cdRMJLHQ0EpbYoCoFbqNsx31zFUplbfW\nGniaqvGkOqEphioAHanVjFpfN1oBu+Gr7EJYy6miosNA4GAnuLAuCXjq3IGMuAzBpcLZTQhHgMUo\nU64/hHBU2HHAgvgGxjXrmoLmih0GrsNyl0BwzoXhqzikSQ46oE/KHrQPXlEDS3XCNKWldSeVVFJJ\nJZUml9Zt/Kqibpurf6vGBOV8QJ6hiaGojF/qrTJCEhqcUJaNLGaL2LrCCwwrzUkOwQdX+18N8yOi\nHOTz3IDOMGOzvl6ixuI+gnI8QJVAtlyWipnU5XQHJM8H6nPScc2vqwMq24AIpNdwWrJtGas7AiJy\ng/m/hjAKI02MlUTLjTGPM0ZtqK95TZyxbKunlRkvbMyEI6CJSAQ8amtIs9DYWLbzbFxiU4e1Opkx\nqQV8F1QKSrkDh+CtO0EqZccBkSCJiA8lEAa+zQvItLSM1+4ydfCZ0xujyviBg4V4p/luiUwWky9A\nON5pz1Ph/ga3QwNDHorhayLokZzfYovsVrCYWt+SGO2xIL5AsoVInI5Cea5ac0ZdpnOxOO/yHaoM\nBRXxn8Q5I3AnyRvhpgTyVlDeR7kTJsZDoeAAAb3BdNBT0d5S6Q2lIL5RvzckaQzHPsk8qR637EqE\nEN+opmwOyXI65HOqsYMqkFX5/RS/Tb8MQI9YBI4KA4FTfE44bPIdbMWpUqLYAuGVKZp1Whs19DmE\nCLNOWe8/JK3EmS2JtH7jV4sUII45UMMEkEyW8Xl9Rz5YoZROWRZ+nek6bGyzy5BbMZOFwqcMcVZN\nA8P4sIb4aw5hhnk+zzLNAcwgqKsHKE/DTFnGKzi+RIPZffnB9jJ1GMUhm2VJB7JZZiRnMoFjkMLn\noT5l3sWex8KsASzJB2EUEY2HpqZ4FffBHatY4op8cL9yDChDwNUwc9oEYxgvynXyuZjPe0N3NDIp\nB5FIuLKAs+inOQmyskY5Lc1xhJFmc36LEu4EB8oTQnh+4BHscG6447BJ24FEZsWkScTzd11Q6gfr\nII//LSZXHj5P1i9C6AlHT56gAkAiakOsgZXEAI6TDdmgSCWVVFJJBcCGYPxaPjaEf0wD2gIJVjki\n+gCl8GvrgjSwgopgcn4pBagX6H5j1AAAIABJREFUhOXiZUM8QJmFzA8MEnVrXxjHol/cQJYOYjLD\nVtAuFdu73BlIrgAFuua6bAvX8wBSpnRZGRPh7FMogK5aDVJWBtKuLQ9TkmNIbz7P2vA8lpbY8xmH\nUxi42WwQXJ1vL9NCgRnohCN81NcMNC2VtPKc7MHYOSocxZsG7MZaMYqDypsNtdfCYhq9UBZB6ta9\ndIiMQLCTGGdRC4TQuMQY3Eo/AehRSizxgamg5vDx1xaOwlB1HBCQYAeDBAYwpZRFXnEc0ILHQgWK\nUGo8frBcRAkKjtoHXzfgJc1IdQpUo2OUKq1Bh1pCrM5AJnjQBOhOU9QRwd2WjnFiEaYgtPI74Rjf\nAbFDJ8KjmehXQXcKBizIsx+8G2q5OGkSxFdIqZSw1ijmnFXK4jTpfceMaSSPPcZJTqtTo5iZEZ4E\nwiocNfl5wyYR2TetIvTR1bcsRPhLad/waFPsGkOXff2bHdqhkGCU37C5s6mkmfW41Rq/VR0Vz89p\ni7Hg+UXS2Al5S6qhxAR31xTfA6URRgI/r4nJAzQ5gcKAUctJFNSojzgA5YkwPA9Otpxv4YrtuKx8\nMUT6WcYL9gNHIuFwRDgC53B0zy1wnrPPM8nxrZS6OtD6HIsfDEWhs1nQXA2IEzgICvQXAI/2QK2J\nKtRxVx0DNENYTgKKYWoatqFU1BE0hWLKn5ACsV49lKe/ZbSvGL4aLUExfIuJjQIh64/hqdrOJfGS\nFud8T3d2okEcaxkaDZC6yZoMHOVEWm+Zspv6oDQDSW0gLBscS04h6B7U6IPhyOYQyTtPIkH4NyfQ\nz8aiv80gzRrtoWMlRk0YBkBP/ZlKKqWKqqdojrk01dNUGik/j2gP+1wWjeqFaAcR9yERW0NsUQZE\n/VHcU7VOdaVnbkmr1xIniPoAHlonmwWtrWWrNI4OU8X4ZQUZEkyymZDTmXCkk4i3QMZ8FqeVVLB4\nxSgvB+rr4dfUcGc7buxa4g6rCLlAIgXyq3H9lAgP8hg48iaQumLjKf5WI2kUkybiWjabh7INhSaO\nZvRGRsQwxebMpp4D7Ii3OK6WC9Wt8rEj0Gm+SJPxg8UOATcUbZ7OIU6maVAKXVUXWdxIJmVZPYGK\n4AiDoxWiD0CARCdBJTQaSHKDuaWRsxaN9hDFCwfi9VU9nwS9a4BnfqyHPfS5yFqnEzhxSnHs7Ukk\nTXKD80F5P6LvIv2ygfyWhJ41BBFvIX1tlrlU6GmUHsTxd0ulyjVGL2PKSf0LfWMFrZDrhxJpSi2v\n6ajQT6FzIqqDoZ/afAkETvGskLUOqacxNLHEutuYnZxm1N+4ubTlIY84KWLwyExXUYYAEI+aqUIp\nR3Itji6aMUv0F8320EU5KEYh+IfbcRj1QEaeUNIC0wDhCjLCMXoC9SloPqcbGSLkmKMYIR73gheU\nEPCtEEoDA5fymMee2qYbjJdKYeAvgO0lUNFe1aFPN6oiHIfE2CXeqipSLm7CWx+8YRtfWZziz48h\npl6y+w5N8gSxhm9SnrTN8NVOs2dKOMqqL2iiPxYhg8OgyUhdVepjyVNy7KPAF28Q4dYch+mwOgGb\nRk+xCdfcqUkirRQMSCWVVFJJpemk1dIeAISNJsIcxYQxxz6UFmS3GEoYdT4iW5vVCctELUUZYUQq\n3Eh2XkFQueErkFVayEt0iv3tsDBmPCB/EFWB99EtC+KxivGQHp08YHY2A5qDxeNYGSvfY3VqSDaj\nQ9B8jp2Hvu0tDRf1vnwP0glQjpmF12sTGyqcNCKEdmMxz7u5DRrbToFoWg3PVWp/Sr3PhtZpM2pF\n+mqu0yanVkRUsC2K1CggkjbDebrMgY7vUgg+rlgICgSZJ84QKcIJoTIaC/UQ2rXQEnqY97KhO0w2\nl5j6GoVsRXHRbRJ1vBRUKAnyVswD30SAJYWG6x8QzJ9RfMeoSA1ikWZt2H5ci4pj9r8VUG42KImi\nbQmHapsUAwWS6GdJ3OuEqLXcUeVoLqdrUtu3QuqOfSeQ2iI1RCSUCem8QSO1JqJpEp5/6wIWWv+b\nJ2PwctGccrxgK9VQcIkKK8dCf9uOmfQGs4xoy/f0NrkhroZZUvssg8X7vob6avQJ5RiLXqEYmgKV\nBjdwebgyWl/P0LNCEJhahj3zvCB3vOiK6+rGA9H7SzJZvf/mRG1upVCfPyMLr1dFK7VOKDxgFYW0\n8X5NKbaoUf9fX6L2O8K4VHcA2DHL2Jjjoh6PQ3ZL5UYnGB8ZzxfQqAayyojdAPW8+j//ESoTinPs\nMwdOkc5bXmeg5bHbcSrqrB2n0b+LbemnkkoqqaTys5HWjfwCuhFl8vZ8L0htaWZiA3SUWJUkjlKi\nbbNMBBpHMpwfyXm8WlnCP/QqYMWNzsAQVs8F/EvVAJYZ7BSDWd2WlgaBiOOrOtWVlwdbzybVQdRJ\nSGgVGOKIGmHmWNtFuKmW8QotOKJ41knQYK0vRv0tvdrkY0dNz99S+pX0/pMYxUmMObEQk9w0Yg19\nZ780HF1BQ+LMWK2eB0Icxm33KahYVCqctYD2QEKoL0OLE6KCpl4lWXS1tP40tUTOfSYqVaJ+Aq1u\noRCJAANBtBBTpcV8ax5X0GPzmNRPsRlm6qi1cxHjnlR+bnpZTKLe60ZxTRvBr47QdQ01NRfocv4s\n0q5FT806KfSY1pLHq4JS5rWieiTTndaWWruppdUav1Udq/RoD9MWswfqlsHJZFjiBkAxUFW0kgZo\nqZAoYyjKqFDLJ7nGtgWs8H7ZTwJfCeivGZqWLVuV6yiQQ+3lor6V8kF5AgunvFxu14nA6ySTAcmU\ns36EjFpfq0e2Iegc0lu+iJGlGp9JjNBYXnACNNhWl1K+2T2UzWgPNiOxGAUkKdUjapdCFdW4SzJu\niu7JLVo1wLmC8oay0BnXxzbjeWyNJ3RNjInCdY90UOXXCbRYxuVuZQZXQ2W9RXt4flHqRZ9Kg6VZ\n51JVT6e/hQXT3ipyRSqphOXnEe1B9fxUPCSdinL4dfVKbF2DqpDUyS1Oogw8m2dzxGpQRnngyBZx\nXfg1NUE/Ad1wiFmJCjqCrE+NZ2ry9iiLZ0nKywHPCxYKan8VFE3QR2xxe+V4GlxmtY5QlIe4xUKp\nRp5t+78R0qz56G2GWNLFVlKJW8Spx6N+x9btaDohdEs845CO2PTWTIwijemAI25ydBkVx9EjO4i+\nUD/UZqTuNxQFamVzYLNGeyhG70hCK1qfFBEzRrYiSZGpEOdWrS+K6xx3PCLKhNxli0B+tXINRctb\nka6u12gPTREFozH6WawuM6SleqmZLS6Cb6/7ShTRT6NduaOm7hRH1WFIqH+lRMFIIi2osxtutAcg\n+Agq0Qj82loFNUowWZfUnsG7NHmpxdpUzmvbbj6L3Sud5dToDqwwb8cJlI84IRRTMwjMMVAnX34t\nKSsz6A0Bmiz7GOeMZdBMQrcaZfjaxitmoSDLxSHupaC/6t/NjQ7a2ki6Y1CqRNUrzqm/k9Sj6paY\nLBXeOslkde65qqdA0Ukxlhss322D90uV9kJ9VnZYTNpOqWNrG8tUUkkllVR+9rLeaQ+EkDsB1ABY\nB6AXgFGU0u8iL6A+AFdPUxz3wdIMyiJ0BmsHIxCkuLrUFZwfIFzWvmmJDgzeFyEKKkYBAmkwaasz\ncc52TzxbHXE4guZypFwgzqK8GsmBe9HL6BkqtUH0sRj/WUWB1XbituZtZZLwWoshxw01mptSrNSY\nZuhHnKFrLtri+qEuutQykupSxNiNQ17jwquJKBCO8psExjcVCS1UnSNK2agxTrpzI4793I3g5kR8\nzTaaebFpcnm1yDMx5SNOlnY8SXuqo2jR9tfPmG2wEoqQUOT9tklTIr7FJA5lLfKsVT0JZYSNLMt1\nDcbObII6gi6L90heGH/Bz0RaAvmtppReTim9EcDbAC6PLMnRSxaTVolIkC2LvCRWoowjzfmlCIJk\nGmraP0soExHHFwi2M0yahjQsFJSMG6jSaFCNEHHO7IcQ7jEfhD0JO7GRbFkQmUJcb8agtY2D+gIb\nL7EWcSLJllPUpBRX1jRaiiHyLWXUrM+tYVt7SRYdikhnNDURADGc16hvvVY7V6yPNm48oLTpBDsX\ncSGD4vqitpdEfu6GbyqppJJKKpqsd+SXUnqF8tMBQ4Dtomzri/i1AIJkDfYGknVEGMJGjNtIRCiK\ny6q2SQ1DQeUtFvLsPlSvf6IYn44LEIRDYsmyBmJs6ytRYwKzrWmRuphUVmoh0fSMbgmjWqhtJkV0\noxYcSepoyDFbX9eH2J6J2R9Rrqkkqk5zgRbipxl6bRiacqFpQ3OjEFxb97RdDHWREiDJIhYw9aBE\nInHDqF5sQxG0D5P+kkogSfWxqd6jJkA4Q4ivuYiK4kNay9hRWWuM06g24jiStv5p/TJ2/4qNz8a2\nQIvcYSoB8S3aRgN0MqJsbGzcJoxIYY3GVKQNuRMRlflwI5VmcXgjhLwEoLvl1FWU0ud4mY4AngZw\nLKV0hVlw+Rc/0NU/rAlVMH3SbMyYNLuhHdM/xMLotDnOCaMgLjWyeq2oTy0DSINUJggQ6KiQULgx\nR/+f12F1khD3op53XJjEefV/cGc4uC7PrOXb+13MmDPHw7z/JOdKkWJ9Mc4feXZ/DDq7f6jYDn22\n+wLANo3rTCBF9bQ5jN5SJQ4dF4umbLAOlnphGr+mwRzjBKRGKIn8yJiOHiJMYNSE3hADwfaxbCU0\nhygd7dCtPbpv3a3JrPUGzaUN0duGPJdiO0SWD3Rs0oi4axNGJbG1pVdjtJuQ/671K0q3W6G0+Fz6\nwGzMuJ/raVPoZRKjN+nOXRKHzChHN6MOa3PFdN3UPUuY1GJ1y/56FlppqYvVFtLjhsylLRLtgRDS\nAcC9AK6glH5mK6N50bOL2P+2ybIhCKCK+Eadl/zdCAQ4yqhQjQNFsYnrBoirhkoZsSNNAz0OkRbZ\ntwzDQXidSjTNiJhBXDdA06PGLyp7nu2eoyTpfZRikCTlbVrKNWu0hyhZX8ZWknYsqK9MwAKwxChm\nrGobslrM+FWP294Ns6jCF9eiQQhJQqNpSJlWKM0S7aGYjpqSGr9aW3o1G5fxGyXNGu3BFBvwk1RS\n4ze2btnfDdj4jZJWFe2BENIVwHgAl1JKPyOEHJv44jiFtHBQI68pZvgKOoJZp/m3bTtfMy7Ex9+y\n/RFyMPJ1Y1tGfDDaNO/R9zjFgRsyPIMb9RlVhDjMEY1kM8G1vseMcErZNZkI9osN9Rb3rBpFhARZ\n3sw+R1EexDlRPonhok58cVv9ceXWp6xv1DeKkqC+H3F9sUVmiDJ8G9VPi5HgELuDkKlr1vqK6Jh6\nPqU/xIuqJ6XqrXlNkufSAJERRNS5Nf4CfQ62OjQnrCuKSmEu1OLubSNxKGqUqO+t3OFs5LvbmLpK\nuCYU4SaJPpSycAqBZUWujShTLEtnfJ0t/G1tAmmJJBczebuPcieXtQCetJYsZsSUgvqqf5sUgriV\njg2FtRnBavkIkZSHEKJqQbiohYqhnjfvR+X7ihit6mV5g26h0DooJVqfSCYTJAmJWrWGPnQRjnJa\nPyMWCrYxizpWjJbRSra0AbRMP+IWEXEIrOfZ0VbrgtLi2GntS8ykbONLmgtAs/9J3wfzXNTvVFJJ\nJZVUNkppCYe3vUooHKCKUSgkkCyxRZSBmuSDqBkN6nYvsRthygdbJgbQojNYQokJJwjbNnNcX0kQ\nYowWqI5qAyBlZUFCkFBdimFLA6Mj4GlatqzVBYCJcBcTc7waYozYnp3NwG5NRnBrE6lfuuNZtBEb\ngZrajGPzWNJnYMab1vqrGsjK1lwp7aT6EC9NuUvRkDpK2Aouuo1slouTqIWc+l5A3yIOhYaKrDvB\nblYqyaQxellUTxped4g6EDePJhXt+iJxykJ9V0JECimW5KIxaYw34Dm19bv7URrPOwWiDd+oB2ND\nlcTvYoaxGhosrs9QXgyN7mAYfgoVQTPgkmzPEAXppYrhq1xLczkexsoNFhJx9ZmxXpNs9xQLD6fW\n1xyibcmvZ6rBz0CCLWRD96O4ckKiKBYJ3g2lcfafF/DRI6kV6qKxVEn1IZVUUkklFS4tQXtIJFUd\nKzFq4nAAlnz0jf2Q2VBC23lxLgqNjdt6R8yKKolRYTOwoygHpoFqUBjgukB9PUOGTdvBvD/zvuL6\nYPbfFjkjKaWhmCRB7iLON2s++g4xetoaJJYWZEu4EiNWCkRCiktUHQbtgTlqxKzJiZMActvwJGk+\n+oZIIh1tpYsDFVlrFEJlSrFIIkXCmDW5bCCL9mafSycMA6DoabFvZSlio+41VMwUxjbdLLX+CF5u\nSVKK81zktSV8E1qhJJ1LWyTaQxKRnp9RH9ekEqXoDX0BFK5sZD0iAoMa5sm8PsrosFEoNGTT0rZN\nuAFLyspACAEcR4vzK/oZy+m13btZtjETSgtwdlsk2kNrk2J6Y5YrtkiMov8kbd+MT62GD+TngzYT\n7jJswNIqoj2sb4lYFFmN36S0h1Ikqi6zH8rcHRmDOunCr5RrW6Gsl7m0KY1fs85Sv1XabyNMoy0Z\nUGP0wGgnJFFtxOzsFjV+bXU3A1VkfUrcXNpqkV8Ali3SBhhKcdcUuzYKyVT4sXbeqQ+QLECUsmp/\nhDObQLFiqQ1KGWrUJ2kJlnAnvBzNF4BsJgT4AojnUcv2Y8YrapvcpF8054uScjkbL+YkV6oxkXT8\nowxasAk5MDCUjxP/OzL5SyobhYS857WTCeg4zSElI3sxgEIqdmnKub0xiG/E4qhoopWmllCos2j9\niTJ2IxMIWalmTYiWtzJp/ZzfOIl4EEeqwY6jVo7FHiIh8eiseZxSrV2azzHj0nH1MGBRfaKUG61G\nW77h4GOp58ihh+kvhUSGHQ05geuG27atFFVOdMw4HXl2/6BPGm2iCDonxqOBlAjt+W7AL+ORlqDc\nzS6E4MizDwsd08RGd4k73pB2LY5GkVuH6jkbMh0jLTLGLdhuU0uLjd/Qw4oXao52zXfjZ99uqqeN\nancj0tOfm462fuM3icOVIYOijKNS0K2kH3qlHtmuep3v2Y1BSi0RGPx4hzSzbt7HQUP72ftMfba6\n8zz5f5hSEZGcQIhpuIvrCGH3K9pU27Ztl6i/fQsdJInwOmyZXDZEaan7GDQ04v0othgp9i4WeaZa\nuwD0+KtUW7Sxf0FbImmLtjBLIC02xqmOJpMInRJzmhaLtJR4qA2UkI7GSQO+TSGRc3iqp42RRPfR\nmMV7VLvy22vMZc0MykTqi+0d4ccotwMi4/sWeb9+bjra+o3fUiXO6Cr2oY+rp9jxuHKN2e5Sjc9S\n+mwiqyJurypJUDQ1rJvtWtt1NqpEY/hVZpulSLqtGEjUswIS6gK1P89Y2k4SnqNFx4y40U3q7JRK\nKqmkkspGLa3W+BUeyqMmDMNpVx9vLdN3cG/2R0I0SpaPqketi1J23GL09R20l/Zb7bPNmAjVz40I\nrf/iuO/p7SrosOJlq9Vn9WiklJUnDjMc3ABR1tt1ZNvyuEq1EPerorn83qo6VFqNYG18lHNFx9+o\n33q/iPbgtNZPKU675gSmS8zjvVmiPYyaOBynXXNC8n7FSCI9bcRxbfxsemoYuEXrNxYlWnmlrtBz\n4whv38G9ZcptlaajPX8Fkeg7uLcVXbH1syRdacLjpbar6mhzRXvYIHSU60RoDPhiKDS3NLZdQ4/s\n7frY98g9ZUhAFTlrUn2xLO5bs55iY5pLj+qjfC8Ds4k9Nz90vMnaHbRngMgqc6DtuZWq68I+iCxv\nAHg/t7m01Rq/1atrMHb4RIwdPhGdNu1oLSM/jgkRXanAUfUY1/c9qo9u3AkjTpQ3tmCrOlbpx836\nDTQ2UbviHCGBUWxrN4kx4LBr+x7Vhzul8a1m4gCOi/2O3jvgKNv6rxrAhLB2bca+Os4kwpgRIvpj\n1GHtPxc5zoZEGcudNu0odQnAamuhBkpJeppQoso31XFt/BSdXG/tSoOYTebMmA14vcIAthrRZv1F\n9KtUXWmWMU5QXtXR6tU11jINlVato030jpdaf8ntDmqAsVTC8Q1RT9Ecc+mI+zF2xP2pnjag3dIN\n6yZ6N1qxjsbNpa072oMqDfXqN69rDBcnir7QmDqjIkaIVaaKwpp9iGpXNV7FqlQYFpksO66GS+Oo\nCpXGMIm+LxufN8m9RUkSKscG7NTWqiVuXOPGvSmeh9AjzanUR2RGo6akwqTy85b1rRM/Q0/4FpMN\ndQybO8pDAySSKpa0r3F0zQ31OSnSauP8AvgBwBf87w6wrzKjjncF8GMJ5Zvq+FYAvkzbbdXtbg2g\nm6VMQyXV09bd7oZ4r6mObpjPbWNrN9XT1vXcNqZ7TVpPpI62ZuM3lVRSSSWVVFJJJZVUmlRaLec3\nlVRSSSWVVFJJJZVUmlpS4zeVVFJJJZVUUkkllY1GUuM3lVRSSSWVVFJJJZWNRlLjN5VUUkkllVRS\nSSWVjUZS4zeVVFJJJZVUUkkllY1GUuM3lVRSSSWVVFJJJZWNRlLjN5VUUkkllVRSSSWVjUZS4zeV\nVFJJJZVUUkkllY1GUuM3lVRSSSWVVFJJJZWNRlLjN5VUUkkllVRSSSWVjUZS4zeVVFJJJZVUUkkl\nlY1GUuM3lVRSSSWVVFJJJZWNRlLjN5VUUkkllVRSSSWVjUYyLd2BKFn94xq6/PMfAABVHSpRvbom\nVCbqeIdu7bH6hzWJyzfV8U226orvv/yx+drtWInqVSW027EK1auqm+B4qe3ayzfV8ZLHWalnhz7b\n/QigW6hQA2X1D2vo8i8aoKeEoEPXdoGeEgJQmrwetXzU+BXTU6WOhtQTdV9VHSp1PeLtlP7cqthx\npY9a/aH+h/W3yXQ0yTup9Kcxc0H3bbqhQ9f2JFSogdJgHUUD5tKS33H7nNOgOa0p5vAtu+D7r34K\nDhCjPA2OyePy+fODtAnabWD/Ex0X7wwhrN2SxrmF59IIPYrU0yT6ooxHq35uRdptiTabpV11vkdD\n5oJAR+LmUkKNhlqLLFv0KR25758BSjFq4nCMHT6RnVA+MKMmDsfYEfeHBmv8mzdh5D6XherU6mmG\n41OXP4jjup9lL6/2k7BnMWrCMFaPuCf1+Ij7w/XYjhMHU7+9H8dtOlT+luXvOxtjz5kUrue+szF2\nxMQSyg9l7RIHoL78f+p3DwTtmv1Un1dc/0s5zscvdpyLPK9Z/tTFAPqECjVQIvVUCCHBfRAH8D15\nStNTRQdGTRiGsec8wMaaUsBxAd8L1U8yGVDPC48Tf6aj7jsbY4dPAMmwNS4tFADw8fvFMFY/oLxP\nIzBu5AOsHCEgrgvq0+D5K3WL+sed9xCvO89Ouy4uHH+Wrte8r49/PZHpi1IHqI9RE4YzvfM9wHFB\nHCLrv3PYhODd4P//ceJwdlwZY5LJYtS9Z+HOYRNYv9V73XSo1g8ArI/inSREPptRE0dg7HClbnGv\nxjtMsmWs7/cOxZ3DJ2pzkLxXoaPmOxCno4Rg/Bs3Yoc+2zWZ8bts0adU6Fmpc1rsXNqYd1nV0XMm\nBbrIj0/99n6mo2Y9MXPauJEPhI/fOxRjz1WOi3bvPQtjz30wOM517vEv78XxW50bFOfP7sJ7zsS4\n8x4CpVQeE8fHjnxQK0spxah7zsRY/m5o/RHHff2b9fj/7sPxW5xj6b/RzyTHxfiI94zrqRgHytsm\nDmF6WtI4B3PBLO/xpp9Lk+ipRb/Gv3EjRu77Z/0gcRLpizoeIX0R5SOOP/71RBy/+fDE5a3HiWN/\nblCes6NPB49/eW9IX0rWlfFnsr4Qp3h56jfNvSY4To13Q5sLlHlCs2PUepS5Jm4ubbXIL4CQUZtI\nlIlJ/m2rx0CN1rsYhrDW76QijFHxN9gLbCpP0WtDffONF4Lohm+SegiJbwPQDP6iYo6X+Nt2fH2L\n1CMS1ivxN6UAlLEw+6uVg2Yka3+rl3iW4+L5+B4ANr7U80AyWWlEs4tVvRH9otLwBaXBdYBiUPo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Ymz8dzEgCt/zLkDcOTph2Do3pdr7W7RoztOvfwYqZ+bbt0NLzw8F3OfWoiBJx+I4/94JOpr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\nWHj22WffLcu89OzSs688/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tn7XN731AoDI+uFjVdS2Ts3JlhnVBZ4TUBw13RyL1Zl3PDE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\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sw9S216IYo0qpR+1Q/rxidHXAj/zKtwOd2kM7Hov7q9V5Ed5zxhLWEL8XJ8Tyf3lsdUND\nF3lE1PyK7O+1sVyNjg2Fj3hFusOqFmRKR/ezgErshknayUqQtBNTwWh2dkPD6ETuFWauOlWFZcQ3\norjLgGbEX5ZcCoGenrFslM1kvaq5bNxeJXDhaCjI76GhoISztYzZPHKPA5LVImoB/Qvb+KLZHTyY\nHuL/XRWeqA38VJN50rjusoswYWX/sPpSfq/4VY5lWxy3B3pd9PExggdaZCfDt2XsjwDHA/f8r32W\ndNJfMrWHRYWn8zq6qaVHY7r3oq141Pdt9ajVwvMlKeUWKILusaVPB66rDXHKWNDRgyuL7n7X5psU\nAbY9FSDXj5SC9H7wjOj4PnxCKhLmTFD/CFq+0aXNVF28xeW3usNx/eLT+DzOqWOlooJkWWEl/kaM\n6VL212xPTsJhLus9LCReq3FGXcdzXy98t11Oo9De8c3z9/BvV7+TOqaUcVleYcJ2qal8SVvPKdZ4\n0/w5vELfzm/6rw0/tv+xVqp/DVqq6rdV/kjOtjz/627ilpc8G7g4ag+vBu733u8opd4L3HWB3/u8\nx2R7yq/94H/pXjgf+ht5oVqD9YtqDkDUWgUW0cR9fsuFJNilWsjvhhZRW6A8pIh6QuJJEkuWiEva\nejZlPZ21BgF1r8NG46m9pkIz8RlbzYi7dw5zz4NHYDfBDyzjQxNuuOYEZ2ZDNk+NYTvFN4q0Uozv\nB1M56qGiPBSsYWfiopVuGZoioVipKDcMyV5CviXv2VykymzenQT9ZjlpEhJahW801TylHCSs5SWp\ncWSZpakcPlVCf7AK6pj40kuC5TddoviG+W38mb4FlyToSEeImsp9JYeo0RaMLm499TRefsUnJfnt\nDRXk53wr3ROa6/rI/n6NjeGzt73pg6L2oNQlUnt4TYf+9jV+AV3kuNksrGJsNLFdExQsGCGoLA1u\nYpJAYwxUDWoc1NQj6hve80pspu1AYzNNk6u2kSwmwCQerb3w0Y1lLStDM+aMoa6oXcKOLVg1JSM9\nZ6xLPjU/xiPzNe7ZO8zp2ZCqSrCNxk8SfALzA0JTcKk0q7kM7EZN3aTkD0BxxpOdnsHdnwHAbp7G\n33g11VqGmTvM3JGsa3QjnNx6nDJ6cILNVth6ig60GgkRXUHiFc2KJ9nW1CaltIqm0Vy7tsWB0RQP\n7DUab2SSpkVcgdiU2YQki6nE6ZOy4xxsdrnd3oA3oCvR2fV5iorHInKse5Ottz10Jd99ywc4nE/Y\ntGuta5syZvH4W0KlQq4/C4lvdAVUtGjvbbd+gNve/GEAfvO2n784wRnGZPuy2sM/1PFPdt/Nf1v5\n3LiRNSl/Ud3MywYf5P/a++qLuj63v+XD3P6WD4O1vPSVX3kJ1B4WFZ4uj7//4wXzT7KlV/hkeg3m\nPJJn+403z5/Da8b/idepr2Dq88f+wgWO29/y4Vbd6QtWewD+DPgqYMd7/9EveO0+x9FqavYNLpZK\n2eelRQB4h4pQfCy7x+Fcm4QpL61VUTasnW2oDvn1GqEgpB5lHEniyIxlmFRt4rtiSgols6epyzE4\nRmE2WPqU0mUMdcV1K2c4fWDIzukNBp/JqIcZdz1hxOqhCemgpp4ZTKmJnhCmgmTm0I1mvi7Ibbrr\nKU5DdSKnPJyRmHC/9R5dC4/IJ7ItLvVyP64E0caHbtFgOOEUuEwxrVKKpMFoh9GCGta1xmUOZcW+\nVtmOA+yMoL8yYfDc7O7ht81LAuITXLUi0psYQcZ6MnMK8EnCe7afyD+54iPdcQHOkT4D+tbHkUYg\ndId9eGj78X8v8lBJgkoSKYP3Gpd8XXWubVnQj8V0iWswZXGVxIbOUpEzMxqKrHUYU0kSyvCqm0Ak\nBl+k+FwSYMJkxiVy/JsioL+5RxmPUjBMa9azGSNTMUrmrAQC5NDMKX3GEbXLQT1lrGvmLmXP5jwy\nGbO1O6SaplBpzJ7BlKLIgIL5kQazVmGnCXonYf2TMDzVMLxnC/upT7cIhXnqDUzXBAnziUI1ntHD\nDS5XNIWhHhuSMmN834TpkTHVemjozOScq8dCf3CZTNTw4Kxhuxq0ltJJ1lAPE5hpXN3rQNS+fAAA\nIABJREFU3lYSp8p1tJ2b1H28m6dhwwTN10pis/YSX0kC0dI4zeQaolPKquAj20d5+tpp3v7IEJUm\nggArhZvP2yTYW4suEpTRuLLsBUuM4VAJCMYX+yLDj8d4LI6cUh057hwliPD60pxTB71Z20PYlnV9\nY4e9DVxKVwSu71Bi/sBAELVjueRXV6RnGevefgTOBtj4tJWJ4SSIkU4C4mrnHeILLMjgRd3SllMZ\nd3sLqS1uU2SkKNd9JhjKYSKKHdBcW8lyJ3NZjzIPRjCJTKpWhyXlirzXTAMCXEXkt1uO8o6b5vfx\ng8e+r12tyD21ucJFjmvb+R++3Dje3TyVH85vlWMV1Q+Wnd96Nt9tU/EywhZ3R0Tx4wv7VVwv5Ygq\nHEv6vn3ub8vtPZ/z4BLnt/3pdp/7cysD4djaEJ92JB8ejYOb30AYoUdDnB42O7iwgHtqAXE+tnsV\nAA9vBR3fnUXE18wC8hs1c6tu+RGw6utMQ4e8xhGRYd17v61QRHWdWF2JIFhEl0O8Rv3fcVAnmY0q\nyhjTAQGO51JE0W3q+eK9T/OOwTOD02tYZgRiU4UexNgi/Ias/Gk35kF3mCcnD/PR+rp2W1qnt316\ntlq5i+XKhN0/Xh9tXGjye6v3/r7eD3+l9/7tF/jdL3h4u4i+tAoPvfI5EKgOIRGydHbGwV62fS4b\nId8Lfz6W97xf4PpG9Ck+dyYEYuIwqSNLBE0rjJSQQZrY1s2UTFlS1WDwVGgKZTlebXDH7GoemG3Q\nOMOTD2zy2afXPHJkjfTeAWsfzXBJRjKAJNy0m6Fnco3CnYBsF5KZx8x9L5g8+TYMNhVNIYmoDhf6\ndE8ctqLkldNATJCtlC3ECCMkxXPDTOeo0ZRhWmOdpm4MTWrwte5Q3rRLJrozTgJ3RMmOHorurwuG\nAs7LMXGSECvC8fOqRTJ3Vc7I1JJw9MoYcmwDDWJB9k4DNkif6Q79XU4gLmWzm1JtaVwSGNtdqGMn\nf1B7kBd1aHjzLZ1BF3kX0/EGFlHfSHOwtuX7eq3EylhrcL613raZTHRsLpq3MjnxaOMYFvPWMns9\nnVJ707oMHkj2GOsZharRyvNgs8rV2RmmNuPAYEptNTtW08xNqziiGpEmq8cG1j0WWL1Xc/idD1Ef\n28CtDjBPu1GOvfXYcU66W6M82MKg68DxVZp8R7Syd67NUS7HzL1cZB1kJW3znnJQj0FNDbWC5MAM\n5xVFUmN0Tppa7EqNbzJQQg2Kya6p6CgPBlZcyS4DaW51HpVoSXwBX2SC/vZpN71jvGtzVnKLHhQL\n8aWSVCbq1rXmFr6OqvCqoz+E32q56y1qvNS1cjFHyzVeLGO349HOkaUGt65BaOkGs/w0bp/rvtsl\nb+ExJBWuCA1EheyDjUKS3yOZ1PSPmF3WQ7YZ7WFbukMtScXmXBp45nXUwY7bFs5HT+/mHJa7dAdU\nS7th2TxAuU6GKn42UhZiM10TmoTmgf6wPZc4WcslG0m0I8kkBpoiDfslrE9re6wY2ZpKJVQmaRPt\nfqNzW5qPE4kg5aUSzbYaibRm/xjtR384B1iIyWT4TnsK2MXv/l1Jn8WxnyTf0vb55Ula/OrShMeH\nA6mtagWDmhjrMfmMcZLLB9aGUs27ciDxeSwV2kOmLKWXY/qZuUjvPbAryhvzQC9IJ7J+bdK71NyG\n7iXdcXKYxcANH4n3mL6ZD91praxc86CLmTok9s2o1zMDEGJuXslGboRtGxZzqpG8ZmMSHGI7mnzg\n5H7/YHJY/ADiudGGS3dCdcYhcQKj2fUDRrraH5zqU15iknsRw+6C1R6UUn8A3BmefxnwuCW//dGi\nv63k09JFPCYNPUe3c6gQ3Y/JQ2h0k+54ExIJjc26hMIlUk72qZwIZigKD2uDko18ympaspbMOJTs\ncjjZ5aDZ40ozpVAw9fCIHXK82eBD02u5e/cwD+2us3lqleR4xuo9sJ7A7BBMrvSkE8XwYc/afRXK\neupxQrkhChGmgnTPCk3BCMezWtGisTr1jE5YdOWkaSjTVKuGpoBsW4wG6pHcgFQjJ5huJC8zVri/\njVc02uO9EsvjtKbKjJS9jW8b73wT+L5Z3JcKkEalUmVkac1M5QEh1uHE8ODoXK+6llrwnkJ7SieO\nV8raFhltEwcVkLwe3UH1ZonnTYAvZbNbjKGmEYQ3mB0sWNdaKxqwWSax612rFeuch7rp9onRqNGQ\nKInmrWsb3tobVJoImhEc3eIuBNqLg9BzPGSOlbFQWAZJjVaOuUs4ku1wRdqhFXEcb9YofcoH967l\nA5vXsD0dMLt/jK4VWQVoqMYel4MtHKMHDasfGrB61w7q3rtgOCA9sY0vMtwopx5n2FzTDDXJ1JGf\nLnErCdMjOenUUWxW5G9+H/6Fz2Z2RUG5IXJtKw86UIJg1yvCYZ9vhEqG8ehSU50csjOYM8o0w6xG\nKc90p4DC0jSCfGdbiqQURYlkGm8gipnJWFMTcX3zGpUafKLRjUVVtUxCYkIYFTZmJSpLKXRD2ZiF\niZmbzVBJ2qG/8a3hUExLvJNqQHBgbJvcvA+SeIEbnFzoJfny+P/7mOuUzDeoKK/zOYyBqih99tgf\nvDwujy9wlDpj4KvP67uFqtvJwuM9LvRKewx4be/5JbM1XhgxkemhvucQ4CNiBpwjiRaE5GNZdPF1\nejOLfRYdEN+oZ+tSSRJtJgmgAlJjybSgvgNdkes6NLjNGKmaXZ+w7cQYoPYJ1ms25ytULmGUVczX\np+x4mFQ563c51u6pqFcTyjUdEF8jSWyqRK4pFWTXa0O+1ZCUFpdFVwuZOZq5I92p0NMKnyV4M0A3\nui1JuES1Kg066KCaSokWbObxA4vJHLXTuDqjDhrAWvku+Q2ybz4ia6aXfCm4xxzlJncf7+SZrb2h\nsoj0jAt/aukPeObKce4rO31KpZQkwJH6EOyPW9CqlwTva3scn1/iUnJMeCXJbXpoRJfgRK6l90LT\n8FW9sF6R8wuIZXFAA1Us2VknjYVpnPFb3CAVfnqqgzmLfD3yu5UDZWQZmbGspHNybRka4fmO9JxU\nNRQBerjK7FF5zYPNGqmy7JU5kzMDEUlJxSbba8h3FeaMNOuYmQ961ynJkYO4YLNM49A7M/LtKX6Q\nUR5bEUR6lJLuNTQjgyll3czGBtz5AMnqkzEjQa3rFbFJNpWHXZmkNUNppvOJwswU9apne2eEH085\nOJpKnKYON0+JRjA+VGqUDfQcK/SJeznKP/N/hcifeVyipSGzSCExqGkp15K50FZoGpm8zCY8ffUk\nf/jgF3UIU+D8KhNOhnDN8vN5OymCbiIkT1RXuWpj1nXvP17jQqoiLZXnAn9yn8r5OeXQJeRXjyQG\n1waCjh7KxBI42sFfYfY4EPb3bjhv4k1zsxbaw9ZcmlvqZpEOEN0tvVHnoMGxjLosf8U+2wABfIkA\nYzSoaBHg8BgoDPVcbq/TQH8oku4cN2Gd6iSU00OeGlFA68FieCA7xLPsZ/iofiIgVT/5nG8RvXge\n6V7p91n6fu6zR/BqqdG7/6hVJx21TH+Io72fLkpMXbJa2rKpxXJjeyv9uIxi65bO2Da07WOyIi+E\nn4h20OGg2358RyA8Ir8BeTUB+Y3HcjURlPRgIvSHQtWcdRKHp2upRJyZCkwaGy8j3SGJxhThmLfN\noEkXh8vNanF9bNiIWG2IKLKJ1ImGznI4zuFjw1+yGNw6oLpVKedTGcwvxnnFNBj4lAN5raljrtHt\nrE+uHuPFpz/O7xZf0cZkGjSok7KTOotxqsLzwpdcrx/mASsI+aM137a0m2VazmNJoD7KuNDk9wf7\nXF+l1Fs+7yVe4FhQe4jNIOd0+fvFExn2T36Wh17iB4VuwmhsIYoILHB/24RLgU88RnkSI5zY2DVv\n8JQ+pcaw43N2bYENXzxjVzjTrLBdF5wtB2zujJjv5uAU5dGGsySUGznpnqfYdujKo5ynWjXUQ7lo\nT48qZlcIIpafzhic9OJmFRLZpPSYuUXPavReCc6RFgmspqhUkF2QbazHISnwctH2Wnh3KnMkaUPV\nJG1cNY3wJJT2ouubeJxVKBMoIrEUpyXB+JPBC/iW6Xt4Z/JMQSht19W+nPD2j+HLD97BG088LaBk\n6ryB3SbF5xt99Nc7bnn5c7jl5c+J717cDuX1Ef/yN4Mf/Zs+INafC414Eelz7eSsTZaSRNQedGd+\n4S2SaKUJ1I3cbPNM+KjB7KLdf7GBLqqSJGI1HHmJLgEVbu6DpCZRIVbDXfr+6hBXplsUSpozJ7rk\njB3ySCO7aG1QspsMW9thl0K2rUgmotCw8lmLqWSyNT+Q04wO4HJNdqYifeAUaE117SF8oike3sMO\nM+wwQdWW8cdOYe++l+SqK3HXXIH/1H3kp6bM18Yt4jvYdIyOV5SHMsp13ZUHK7k5VBserR1ZYpnV\nKdMqFcnAQYO3qWhTJwLcah8qHoHu897ii/ixyZ/x5PQ4n/ZXoucWVYfm2SDNp2LlwftAOVF8yfgk\nZ+oh9zfHQNnQnKhwTZfYxB4FXRTSq1A3C/F4TsObghe84rnc8tKb8d5fGrWH/xjVHj62qPZwefy9\nHn+08UK+devdfHTjiRf8HYXjFenf8iu7r7jo6/P8lzyb57/k2XFCdPHVHl79SgBue8uHub2n8HR5\n/P0db1m/mZ946FaO1lucYf2Cv/fi7GN8rLmO0271oq7P87/uJlEk4eKoPfyoUup3es+9Uirz3j/0\nea/hY4xzfL736/7szxSWUd/e+6qfcPU/E1+LJWWFoJomPkrplF7TTMv/DcM6Te01c5dQBqJO7eX/\nhaoxyjPxGaVLmbqMvTqnskYWPTMUJwzpriQW5WGYHoN011BsetKZb0Xgi7NS+vJGMz/omF3ZUF4h\nLltmphg+oii2Aeuxo0xKuNMKXVlMaXCZoMhJ6UkmtEhwU/R4QpXCGUNFxkSLkoX3nVOZ93RTfuUX\ndVN73Oh3Fs/gx/bewFP1A9zpntAZhcgubtGIVvbMWZ46PMFV+Tbv2X1ib0LjBL2L6K+1MnFpy81K\nOGredVJTsQEuxg2hkz50f150tYezE37t+38rrI+Rkrevu8YnZztrYwiOYCFpDRxQZQzCmpWEWMrm\nFtJEeJNVDaOhlMXrBm8yoTuEmI0NRcLrlkTYp0hTpkbsqgNnqvYaoxzH0i3O2BVWdclYl0xdzoPN\nOo/U60xdzqd2r2B7VuBrTbanyLYFkVUW6hVwlZwnyaRB1ZZ0p6YZJWRna3TZSENelrL1lAHKw6H3\nT0m2Z/hkhKod/sHjADSfPY6ZzrBf/EXteZVOoNyA6RHN4KQn224o10MTU7TBHQXda6+Y1wlzpBIz\ndZrWyluB156kVIsNIwrq3PDn81v4p807+TnzT/GZFu6bA9X0GjJBJKFsjXbwLcc+xq2P3NgeOzGt\nCJ/vHVusxfftjCHoAJvWCCU2vCljeO8b3s973/B+lFa8+j2vuogRCpOdGb/+40HtIU76I0/5fF9q\nm4V7E7llVayWFhInsks/EZvcjGqRrGUpsXhcslzOj0MDQXwPZ2INu26E+zvWjjQ0LeuA/FYBFpsE\nKY/tUoIjSo1RBw6s7a5TJIsr2SK9S8jv+cwE+rzh/mtAABe65rXIj6wCalbZgJ4CSRKUXgp5tIPQ\n+BbDJazInx5+Hv/8zr/g6vVTPJAdxgekT9sOSYtOb3Hy9o/0nVQ+4ePNNeGnYhyH/RCNIbzv4jUi\nqu0xjTtksRJx+1s/InKO3vPS7/6Ki6/28EOi8HTehqVWDis+9prZlpHtOJafRi56i4iGn7Jg6cUK\nHeLqA/JbBDmwjVziciOVeB1rQYDTnn7/2VoSr8j9jlJmcRKv22O5VH0ISlMALpf3mtg0thy/y7Jt\n4Vx0DT05MhaXWy9+N6LH9Xyx8a1IGoah+a0ZBa5vrHa0CLBij5xbDzyH79x9O78y/qbwmwHdnjmS\nWZA4q0KcWkdGzTcWt/Oa6ddyzmiprL0qWXtslxrfYnj2OOi3v+XD3P6mDwLwG3/zs+f+flzMed9Z\nHDcCrwK+B/h54H8HXqeU+uEL/P45Qyn11Uqp/6SU+hml1L/f/0O629j9UMD2RO1dURe4no/R1KFD\nY1Xc2bEc0usKBzqlh8S3TURZ3pBFPVzl0MrjUFivsV6zbqZcaXa5MtnlKrPN0XSbNTNjbpO2ISM9\nPKO8oWRylZSO9Vwu1PMNz+yIYr6mIpWWaqSZHpVSb7al2fiYYfxpI01AhxtmRzzVSINR2EFCeXTI\n9Lp1mhXhXOpKdGOVk5PBlKArSPfkZFBWAlZPNepMSjnJKGcZ1mq0dsKntUr+2v3XJb2igiEIeW0S\nfnn0zbyqfD3XcEpOMqNaXjVa9n08HlflW/zUE97Kq4+/CIvp1DjOQfFVWwI538WxzwHe5819v3NR\nRotkL3Xua0mI4vp0/M9FZFupYGgRy4rWCTXCaDFemFfgPD4xXfeyEr1afChxxYTPgDNiSqKNJU0s\ntTOk2rKeykV66nIOGCnVGTxDPSfFcjjZIdc1O/OCqk5QM41qFLMjjmbkyXYkOc12PMnEoqc19VqB\nTzXpbk3ysXvRDz6C3xYe8cZdJaOHG6E9rBbCU1/PReotDLu1JUorWpHtWEzlybc9zVCxc13BfCMh\nnQkFIt0NDXdOuL+u1szmKdMyY3dvgIoVisxhhw6XyQTPZt1NLlZ0/mj4pVzFab7LvC1oIgdU3TlU\n5PyGxlrtLT909buoneEdWze06g7yvhNKRJLQagPHxNfZdoKDs50sGrTx6OuqjZu2OffyuDyA3WTA\nrx57Gb/x8Gs50jx2rvkU9RA/kr+RX5+/nEeZ2lwel8dFHb995Kv58p07+Zad9zzmZ1Ma/m3x37jX\nXsEH6usfh7Xbf1wo8vsW730rPqmU+tfe+19SSn1eEIVSagj8FvB07/1cKfXHSqmv8t6/beGDrUzV\nPsjvkuKDD4ld2+wWvx9vNN3Cw3tx9hdYTr3EuOXZROpDTPK0JMAYKbdq5cm0JdGWVFnyMKUqdEUW\nYIFCeUrl0Th0SJLLeUq1VUDqWDkwpTiwx6TMKMsUVxmSzZSklCTcVGBqz851mhd/y/v49SvfB8D3\nP/QC/uZPb+bghxXlwTQgKMJd9AqagCSk0wa9a3GZwaWKdNdiU4PNVFcGDoiuzT0uF1qF8oqmMmgT\n7HOVRyUiN+c1ouLQyEQApVqnt+jy9s78Gaw2U369/C3+i/rHvJ1nUqmkZ4uoyI3lK1c+zneuv4vX\nnfxSbtu9npZDEY+fVqLfrFR3nPryZ+1xXeT27isbdam4v5G36R2+6XicvmlaYwtBhN05rnTeeXwp\ns2s96HjBvqrQK6MuLo0RLmpjYa5w46KT9DHS8e37oR4Q4TxvsE6aFzWeuRPuuUVzMNlrBdkNXhze\nvOVeJ1zv8mxBOtXBKEImLTaP7oKKYitBB9RtvpGSnwG7I0mvvulpnHjBGtmuZ/3OXVTjUJMSPcwp\nj60s0FaSq6/CTSuRgwOakWawKYRdU3nSPYvLNOW6aVFHodgZytQzrzXpSoVJHNU8aakeXnts5lGj\nYHDgY2e8qEtMKPhX2ffwy/PXcrXa5Pf5Mh7yG/hMKCcqKJE8KT/BdzzhfRSq4mc//dU0TtFqXxkj\niXysIBmDrxt0FuIBI82Oga4S46AdTqy+hfIS7KsvhTpJu8zzTABbsfiIAJw/cWr5u+e8Hq+pi2iU\nNwqbBzQ0VUvfCYsNyx0m0jhzIBFELU7QRr1zZjsQH081Ui7dqoRTWQZQobVkDSL+setd2X0Qvfiz\nS5zkuB9a5as+v7enHiEfCl9pparCRDdwKZs6Imqy0EFakwXOaJlJHDW5fCbKpEX+sKngj468kPXZ\njN956Df4zZWX8teDZ+GMju69sn+Y8XXm/fwvyTv5lfIb+bi7FhVh5PjBdmM6BFgtIfzREKM1v/g7\nFnWIYxnsWJY8k3vQeZDfFtRqy5bycvyJwI11Se97bez6hUcTeihinEb5vfho8EyCpMl2LZWIyP1O\nopxd5Ib31FD6y3dJx4lvhoGKFZDn1gylXjzHbECIOwk01cWp63ji0JMri9sYKwMzOfbTUtZ/mNUU\naYjTgHjHOHWFfNaGbdkcjPneG76P377rt7m+eYTfz17E8eQgLlO4uN3K80x1P9+T/iXbfsSv7H0D\nXZmuN/ZD8JfR4Pb1pVLNcs/Eo1xKLzT5vXLp+ZPC487yBy9wvAD4jPexiMO7gZcBi8nvgn7rUhIL\nCztH9ZA33D7JcrTMjclTPwnuJ75agqEfGLFk36LB8VriFU3Y6UNTsWZm0kSEpUJTec2uhUeaNe6t\njnDv7DCJcqytzNicpbCTMJmNma5VHD64y9rGWbbnBSf3DpJMNNmep9zQYgG7BzPboWWvufq98MPv\n5Smv+wGOfMBKA0Tt0U0ohZXSKKcqh5lWYt6RJSEpykDB7KBuzSkil1kNLUlR46zwfLX2KOVxWmEy\niwW8EzMBUX3otFRbakhAzt+cPY/PukP8r9Xb+b7kLbxDPYtH9DpYx5XqNC8qPsEn5lfxqkdewZ17\nV8iZ22v+6Se0j8rxjce9DRu1qP/bj6VLMeI699ZR1oGO1+tVz/Wti02dpVI2966ldSijISKjUeIs\noN6+yAKP2kvzVqQ+xCJInIAYcLkLlAeP9ZrtumCUzDHhartrB4xTuWjX3rDrhKN+slqVJp2QPJpc\nke7KOtcrUooTnrkn3Zyi96YUSlEfW0cPh6jxCie+ZI0nfNu93HPmIOP/mKPf1fH3BrPrUatj3O4u\nejgUHVInyGuzklJuaPKzDm09o+NzvIL5IBPVhsKjPVTjcI46wKuwewT9NsbBqMFOEwic+D41xxsx\nvUjwbOar/JD9Ab69/Gt+afg7PJgd4oP19cwzw8hN+ZLi02wkM9609Qz+9MEbqRoFdd2qzvhyLvzs\nvmFJVbWNjcrQVY4jGtzTH0ebVunjsr3x5XG+8TsHXsyn8iv57s138OM7b+Av05s4ZdcwOK5TJ/ky\n7uB9+gb+dfXPuN9e8Xe9upfH/4DjgeIw33nNv+SVW2/jdzd/jTuya7nDX0eFYZUpL8ruQON5w/x5\n3Fo/79I1TV7guNDkt1FKvQm4G6FA3KOUei7wIuCXPo/lHgF2e893wmvdiFJAcUSepKZteGpnrfH5\n8mwwcpqMWlSFCN9pv9vnC/UnhzGhC+iv/AlUalTXF9s4w9RmzE0KekYWpl+xGzk6vc1dwgNnNgAY\nrc1Q656qSmjqhDM7Q2ZFSt0YkolmdNJiZo7yQMbuF9WkZxLe8fZn8cff/DH+p5VuzvEVX/Nh3vfQ\nTRz45BxdWnTjcJkhmVnUxJPc/ZA4VY2HuDzBFgleK8zcU2x56pE4deEFsbBOhWQicI1qI2XkUFVH\ne0HCTUQ4e2gJXYIRJ54f09fx78x3cWV1mhf7j3BIb6PwnKzX+OFT382JciWUmHsap60TVpQL00Hr\nOSC+YQKjnJPu5P1Q3/7vXEq6QxyRwxkpDkqLzq91LQoMSALsVfc5nYisljGCIvZ5o873uptDOb6s\n8OOBVCwymRh51RmOxOOhbIcOpMa2ih27TcGmXuFQssuV6Rarao5FoZXD4HmkWeVUNWZvt0DnFp8b\nmoHHKIUpCaoJ0v28fV1CujciP3Ea6ookTVCrY/zamNUHGj760evwxtMMHX3RJVVWuENr6I1V/CDF\nf+ozqP+PvTOPl6Wq7v13711VPZxz7jl34A7MCCiKICIRiA8xajBANGoSjXEiakxi8pwymuG9l2ie\n7yV50TglDjE4xClxRMAhGk0ELiCCooIICjLe+Yw9VO3h/bH2rq7ucy9e4N4kfmR9PudTp7uru6ZV\nu9b+rd/6rW4b0ysp1xay/0GQtIVjO+Qrwv0Wao68nw2gikInquWwlWGqM0TrQFUZ8V8VhBqRU/u3\nGVDr/koTlkBftbgw/DTvHz6Bx5fXc5y+mw1mQE+1+ODCT/LVhSPwQRHCMkoFQp6jlSKUgv4kiboQ\nAiqi/GE4XC1bVqO8UgBaZyecO3gTs0kLDd8CxprJjH0e3zd6xG1NiHr6rX0gbJOvgxqpGdjptIxo\nWytWhUcOrE6aq3GCljJoWqm6wj01t7i7lOKaXQOpqu/3IlxWRk6rTShFPMSqAWrE40+c41Wc5FTn\nkI0jf74x00zjXlJ9GKkIxGW8/2zkUg4jl7KVWfKkwjKJqEW0eKQcNTrHV0ydwFfDCRxlt3HO4tfZ\nEvbg0Hw/bOJdnMNC5Jjq+oKpvS9N41rv7T1GKH6oOwK6sfOyqg30AbJVak7J9D6OZV883+ZvpmNJ\np4XxZY0AN9QyJvWdE8yf3jbxdT7RbaKlXP38tzFDERL3fCL5kmpm6gYNDRAz6VCvkk5JGQg77p91\nu/B4nyk38qFVxzJ+SI32zuMrdvKqBkqqyFevohZw4gf7uEz3wryZ4q83PI13tH6GJ/e/znH9e+gy\nZIU2b7Hnc51/CDpy01XdOjseS2pn7Cb8N3WDPcC2X8FvCOEVSqnzgBOBz4cQLo4fnX8/t7sdmGm8\nXhPfq23jkRv4yJ1vB4QIv7IgBPNL/v6LXHrhl2WlyYE7WSp+2xtsXmtsThDHY8C2qs+3AmmRmri/\nQnsAyLUni87h0Cy4Dlr5WjoKIFeWKT3kkGyJ7fkaqsrgd7YYZIF87ZCp7pB8akBu5IbZMT+NcpD1\nPO07l3CdWXqbMtadtp0d39zI6970PH7/GM85j7+OQ1vzfOHmhzFXCZnc9Epct5CWsMM0WIURtzkd\nWtQtbna00ZWCPgSVYXuG0HaoLKBzjwoBkzlcephkHpwR1DgD5aS7m26cR28UKgNtA8EptrGWD9vH\no0uHqhyqtHHwbSBhWouChCOW56dRojHSpsK3H2LnveRJnP+SJwJS8Tk1N5U+OvKHfvk+2MYjN/BP\nd78DkOK3pp9e/M4vjHOP04NEaUmLay0oobWCgDp5vAdrRw0U4vp1G+9M1AeSvm+tGyXKAAAgAElE\nQVQzlSvaz4i/FhBaHus0Pg4cA5eztuixsVjEoSVtnMlEqgqGrh5SBcPQGxnUrMb0NGYIdtrjCwmy\n7bSDLNDfpKhuM+RHbyZcfT3Z2jn8/AJqWFJ852YeuuNEhod0yZct4UzptW6nMtT8EFU5iK3EdatF\nyA1uqkB56Oz0sZOhoNuupSlnjAT8RlFOKZQVjrweym9kU9KQxTX1ijSEwhOsqbMS9UMialwHhXSZ\nCxm+1HypPJl/W364aP0qJUs7lO5YcVxRqPi/HqWJE1c7Ir5oUyP99SDfaC2sspxzL3g85/+qtJ8d\n89EDTHvYePg6PnTTGwApfltZFN73pe//Cp/54NYDuq0H7eDbbdkmLmw/mSyOiyZm+/RkSvgA2bnP\nfxznPu+/ATA1025W0B/YsfSI9Xz4B28F0jNf/PSSC7/EZ95/2YHc1IN2kG2oCi7u/gSF9+RW/NJ4\n+0O+df/t3AvO5rwLzoYQmJrtjHz0XqTQ9ltRPYRwCXAJgFLqGSGEjz+Afb0COEop1YrUh8cBb2uu\nsP0HO/nNM/5oFUdylQ7gXnc2UR9oTpzloeK8zHIbla4SBK5SOBxx22JQLH+CdioV6qAChAKRK1fP\nBLXyTKkSh6IMBoNn2gw5fMM8tw02kG3PYb7LUquDbwf0XEmWW5w1MB1YPCInW+lQLFg2Xqu4c3YD\ntDzVlGH9dYpvXPEovmkDh5eBrDdE9ypCkeG6cknNwKGHok0a2i3cTIuQa3TpyJeg6miGMwrTtiif\noSsliKQWKoM1gYBHFYE8diNSWgLZ5ixslEqOAUUZO8bVyIEgJZNUErSuNSNrGkqSRNNqxDWbRH+9\nH62b/MGN6BLBSce3S9/9RS551ziLBuDz9kM/2Lfj3Hfb/oOd/Obpr4kB6l4ePjqqN+RCf9Dtdh30\nYgyq1UK1WhLQBtGPrguitGoEzEroAUmX03rwcXKRgTe6pj/UyFOpCVENwaiAjh7eVhaDr7u6VcFw\nl11LrhwOzabWEq01Q8pBTujLTVTMa/Jl4aJly0Kfae2B1i6Z6GVHHE7ottFbNuHuuods8yYGs21a\n23rw7Zvl2KemqM56BAsPnWbN93pkd+xCGw1THYYbuhKI5kq4b2kCpSC0A37aU2VmrDpfWzleKo33\nmjJyPpUKZLnDVVoKNRNYp2T/TRm1kBUoFzvBmYAunUwUW9JkBedFaSPLUJUoboR+XzSXjUYVOWEw\nHGu7nlBgAFW0CdYSypF/qlSTEDyXXvhvXPoPX6qzAnJchrdu/XPmNh44Fantd+zm5U+K5RlpLE37\nmNDpfQXcPqxWd5hEj2tUjrH3E9fQVAE9gcKmSYjqiLOmlqprIg0nr7NnUSvX9+tdShm1VE2/OBDE\n1/aiGsQk19ePtl2DTTWCFl8nhDc9aupjGUfY0COVG1IXrkzAlMJZSp01dGbjb9RqOaNxM+nEVoWs\nVLUnELV+XNb1J+MIoEj2RZQ8ImXKT1wXJr7bVD+Kr8eUHxrrNIGjS993GZe+99/jwY6ycp/Z/a4D\nO5bevov/ftb/lBdNsAqEWtS0ic/3ivzW/hpXSaclqStMuG1qm958s/aHCHh1ChnvOkaWeXSglKEo\nlK+zFn6VzMT4b9Y1GknC0TWuwUQmosbkkjpIMZltkNc++p7KwkjXN73nA1lw4BVOjcZSH48tHWM6\nlbkWbXiAKjpiryXQchVbdvvYVbCuP0nxmW/45MR4MNlFcZVNqpI063vqToTjX7n0wi8LKJrigvid\nN//7n+5zLN2v4Fcp9STg9cAG5LKsAe538BtC6CmlfgN4k1JqB/CNVcVuMELNkm7rpE0gvnXRG4xR\nhOV9PwqylKCeoVncMXFBmsUMqSAs/UkMrRspukDXlEybAWtiQFHgqIJhJRSioepb7LFdelVOd7bP\noHD45Zx8j6Fzj8YMO6K7OyMDsutAf1ML21Zkg8ChX4blQw29LYHheujebZi+w9HaVWH6FSoI+lpz\nPwuNcpqwZhq7YZrBIQU+U+R9x09W3+bndm/l1B23yOkIge9ObeYDh5/JJw4/leUiNb6XQEL+oNWq\nqLTBlhkhPcxUaDg+DX5lijiaJ1XVbWrHrptWdfAwVshm9IjfHvy4vm9cVylFaPhGU/JsTP7sYFvw\no6wC1EGrFLuB9JSOA1QscFMGUXTQStQC4nEppSTQr+xIFaHdoqY+WI9vGQmAQ0pRxN2IWQpBgUP9\nwJ1r92lnFbnyVMEwpYdM6SEFnnnfpa0rXND0fMG24QzOGkJfJPlEYSQqeUSJsXXfDKz91iJ65wLl\nMRspH74Z07OYIsP4jfSP38jSEQVTbU331i5uOMSvrJAvlvTXd+SBnBn8rj3o6SlMz6Ktp/IFPlds\nDnt4qrqS89xXmVtcJiwqeqrF52ZO4YPrH8dN5lApCO0rQnwQaO1F5zfK82Uti1UZIRcfDQpCHikP\n4viiflIKXx4j7biVUqOHfJHHibKRa+Uj1zd25SPPYYL+QJ4TBkukIra6uUUqiqz90Y1PmB5UefiR\nstxbztl+Pc+943JOWbgNAEXg+jVH8IHDfpKLjjqZ0vzndK960B60ZMcMt/Hs+cv4mcWvMeNlcrlg\nuly04TF8aONPckt3w3/yHv7n2P4iv88BngK8FPhr4Lcf6IZDCJ8HPn+v6zQCmNpi++I6oIWxIFj0\nN/UI/VUNFHi00uoHTY1Kpllw4/MGFYJAjQYk5LdjSrq6ZEoPmTM95rSkvgchr1EKh6ZrSpZ6bQa7\n25AFVNtRrQWfGdq7FK09gWJBEC2fwXBGy8M5cmQ6O2US0NsSGKwL6KEh72XoKrZGtZ58z0C4sJlo\nAtv1U5JqtvAI9wP+rHw/u/UMH2udyR90X0gva+FmPCfl3+OXdl7Gb3/vEl578lP552NOA6/wkXqg\n9Wge673GZRqyQPBK0sux49vYKQ0jREE1kaUU37qJKDhdG9hnIJDUE8aQqr00xJgMfOsiuINp6Vhb\nLQmQrI3IowYfJL0fghS5xcxDjWgjwZPOMtH3rawEvCABsNEyochiEB2zGspJAGeqgHMKbanl7HSp\ncRERWKkKMuXpm5wqGHLlRI+awOZsid1xxjxvuqwrerg9LUxPi1ZwJR0Ay7mAX2NRPcNwrcG3M1hY\nxAzWMVyX09o2RC9IlX5CBKppQzhiE+zZA0C2MGD95fP4bTtgdg16/VoIAdOPCLKyvLL6OGeX3+Tz\n9tG8MvtV7mA9ysHc1Ao/rb7G225/Jze1t/AHRz6PgepAADc06G5gqiWB6LDK8F7hvZfOhHFipq3w\nT81QJgquECUCbYU7rUCQoTwbofGDUsadRqA6akct18OXlQTDWkNVjWgPSfZO6UYWSzi+ggJnI+5v\nCKtvogNltZ7r+Nth8v5MKGJSBFCqHmfDBC+4zu7U9+I40tTUAU8T3smOVDbxIeMvFFEyoa3kOibd\n1XmvqeIgfo8Vru9iVBoZlOO6vqma3QwiClVPoMdBjbENpyr6CXRO153P0vmQ33jcru/wl9/6IDd3\nN/HeQ8/iRY98KcMsp/CWM5e+w/Nuv5w/uOVT/P6pv8AXNzyUpjVHoVRNP4w6x1Uux1LLGdbo3cT+\nNnc2USQnkbVV0p7p/b2gpZMIat05Lf74f1At5ir96RrhvQ91GxPHrSau4ej9uHpDNmOkwLD3+GBf\nlvx0JWT0Iic96To3ue/QQJOZfH/kY6s6DKZlykDkCeWKH1fJX+KxZoqOGvD6Wz7Io5du5WNzZ/Dc\nw1/FPdkc3igOq3bz9N5W3n/Dm7li3fG85qHPppwAE53XNa1zKpf7sZXLON3TcoyrOtDVKirNczpx\nDPUHkwf5w211p7f7b/sb/H4nhLBHKZWFECql1NoHvOX9sBSwqJgmBMaE5FPxG1AjhnXB0N66wdU/\nPFnkNkqPKD+OpNUp0+b1CTEGDorSm7rBhQuaQchZ9G0K5Vj0baqQsctNs71aQ+WNFHZ4Rb49Q1fC\nzXSFFJ4pr9ClbNO2wXUC+aK0M27POynUGQQ62yTI6ez25ItWmgrEgF5VDqwjdFuEtmFwSEFQikcN\nvsf/Lt/DX+ln8sWZR7Gy0eA6kPUCBMPXeChbj3koRx1zD+/8xrtYMxzw7hP+G8FLh7eEpkmjC4Uy\nnpBQSj1xyvz4+VIhorsJaU/Fg0aDa2iqNh06NXqI68hlGr+GY0hxCoAnit+SDx3UwHcsEDd1gwP5\nzBOqqASQd2Viko7HVkDeSJPndWCvjPBGsZbgPaqy0hCs3SK0jKSElBobWNJ5V06uR8jEl53XVM7Q\nzio6RmgOt5UbMC0f03YrrDM9drgpBiFn2gxRsyXeF+ihtBRWTklQsacgZIFqGoZrW0ytmYEdC4TD\nu1RrO7SW+oSVHu2dA1BtCGBnOxRHHyl+Gfn2amaaMN1FLa0QnMcdvh4TLH/u3sOwX/DL9vfoFW18\npqimNLaj2bWmw/ern+bv1z2RV+7+NP9wy1t59vrfZI9voQuHc5qlfpvp9nCUYg4KPLFAE/CqzuQo\nJ7SR1OIYRsu6JbfWUY0i6Tf3habggizTwzqXLn0Bh1IKXeT4gaAsKnb1C466XXWitowm+A1t6Aft\nv7Q9acc3+fMb/olXPOIFXLX22LEUbKkzvrjxRL648UROKr/PO654D3+en8tFD3nUf94OP2g/dta1\nQ/7hhr/lxu6hPOX4P8GqDDNMdA/FHcUG3jj3s7xt81P403s+xLuvfwfPe8KLpWj/x8T2N/g9Wyl1\nDdBWSr0LOP4g7pOY2gdSN8kzg5GSw95UH0JYPWtrctfGAqqJZYMrVP+5Uccz2USg73KWXYvdbgqH\nZo3u09VDdrvYc95Osb2coe8K2rllZcoSFgxZT6GWgRA1WtNkLlbul+s81YzCdTR5T9VV7lk/UCx7\nWvMVpldKwOs9ITeS3m238EWGLzRmEJg1S7zWvo/XmV/iGne8FBM5TW8dLD/Eo4YiZaUc3Ko389xH\nv4yPfO3N3LTuEC476li8S+jvKI0enK4nBSqijSoGYM2ZbRN1wTPqNd/8i9e7DuCZCHS1AseI9rA3\nnd+mrxxMWbN7MZVliLJDJSn1ugtR1HGNqfLae0Lkf0a0sOaSJs6vd5J296FGfJX3glJ56qK3pPHb\nRAyUp64MDoALil2DKWbzfuT2qtiJqCUqDy7n2/3D6PmCRdum1a7oT2u8ztBWJmXaIt0BC+kmt3RE\nRsgOZ+qWedq7S1yuCZ0WLK1g7thBd2GK0ClQpSX0B6g8R/UGss5UB9UfyjFNdVCV4yVzn8dVhtff\n/rO4lqXI+xH5aQsX2ChsW6Ftxv+dejq/e88n+Osb388FZ7+IMDDYzJHnjqW+oBLeK1wpnN/QCoRe\nbHccJ7QhG50vb5QEqVqhjAIvNAldVqNiQ2uFExzlzVRRyEQnyZ6lybgxsdFFQ94uRLUPWwmijKmR\n5OBp3Af3AeHaX4sINoCa1PudVH2YBAQm/4cRN1GnrEr6jfH1EirkcjVChOKyrjSP6gaJt7sUtVET\nepYyZ0vB1e/tjpIRi1Hft4o6unXXqcShTLq7iVIdRoe9Ckndx2kfdYeTHT662saf3/ARfuWMF3P9\n+iMAGT8BTNIzjWPe1+eO4vmPeykfuOzvuGXuEO6YWVtvUk0QH+uEV60rG9/X+16u7k6XfGgCPa0P\npoEsErNjkwjnqq+k79RQuCz9QfDTxvZWWS3VMBGyTPLQ783GExQja+jt1n5Zd0eLK0dktRezDIsT\nfrrk5bVWnjI6edvEWpkiFSvHzaVlUmZImeSkPNJ8fqbDrtJYHj8sEhiYMjZpx2Xx+hs+zHe6h/I/\njnkWJn03nttUj58NwJPz+0c/l7+65R957bWf4PdPeVZ9Km3QlJHr26xvgtE9H1Rapg8YX88znvVt\n2r4yExN61BLb3fvzvPbTe11r3PY3+H02Mr/dCrwE+Mv7sI37ZVOzXV75t78KwNaLr9lnn++xNEkI\nEgRqHc9VKjRx8lBzLg7yWeSKKnEaLQVvygaUCSIT5UE70JXwBVUsrlEOcArnNKUz+KAwKtDSdoz6\noPEcmu1h3nfZkC2hlWdPNcUhU8v0hjm9uYyQafJlLVXr1YjukAa+1k6DHsLU3YFiyYtkUFtjBp6N\n87s531/Jsd1ttGcsPdPmm+pIPqMew5LukK1Y8h09irLimeu2srX1ML6mj2O4PmMwK+dn7jvgM81g\nvaKcDXUAvk2t4y+OP59fu+Hf+Mqmh+IUmMyhVCDPvQTDKtSpd9H7HRHs5fyFhqh4vEDNAsTGQzZo\nNbp+6ZrubeKj1Xi74zjpUd6PBoz0vUYAfOZTH8MZ55+afv7A9qOfm+KVb/81ALZe9FWu/Oz1qCyX\nrl2mkKBHCdIngY8X6kby2xTo5rmI0jebsjiHynNCcCO+uo0tnltStBkyRdbzgI5NWCQ4FboMVIMM\nk3kGKjBdlFhvWHJtjmzt4oh8F/NOioZyZTm82MVNgy3MVx3aRUXftdEDhRmoyJMV38yXA2aI+KSB\n+ZPXYcog7VZDQLVboBXaW07t3M5Zs99mdnMPm2Xck8/xr/MnccvOOXAOe/c9AHSPOYGfqb7KS67/\nedyhBdW6LsWd8/iogBCUHI8Kco+YEt605me56I7/zYnb7uFbh4lSYhH9tHJCjdKZx2sNpcZ1JGWj\nYgtzFQN6bSNvXaISyQppje4PCHkmfjYYwnBYZ5WCc3J9lKqvoQIpZLRWGpzk8ekW+eB1B7fU0CKZ\nNrWPik/tux/9/fLR2S6v+JsXAnDlZ7/BlZ/9+gH9/R912zLcwy/s2MpxvXvo+IpF0+HKueP41MZT\n6ZvW2LoX3PYV/vHoM7l+7oj9+u2b1mzmHY88ixd963L+7Kj7K470X8dOP+dkTn/KyWmsPrBj6WyX\nV7zlRQBsvfQ6rrz0ugP58z/SlnnHOfd8kydv/zZzZY/KaG6fXseHj3sMN81tHlv3yJWdnLnnZn7q\nlD8Zz6buw4LS/I+jf5EvfOO1/L8TnsI8P9ro7+nnnsIZ554C0FQmWWX7K3W20nj5JqXUM4DvPJAd\n/GG2Mr/CG3/jnfXrVcVve0OAJ61ZqeyF91cHG3uRO4PGzC/SH1SDBaGtoGwEakkl5zVDl9F3OT1f\nMBUbdid9PENgEHK2l2vq6mRjZIqpS0W+BPlSkIe6AVUoqmko5zz68B7r55bZsTANl0zR3W45dHEX\nvx4u4bHdm/h3eyL/5k9ixXRot0vOdDfwAvtFvhRO4j3DJ7BSKjSe86au4w95AfmuAWalojphmuXD\nFHY6YPqyD+2dCp8LH1IFuHTLyfzhTZ/imOUd3NYVxELrgNGeolURgsI5RciUxKDNHuPxb2yyOHmq\nJ2kODS0/6ebWmNHvTdqsgfyuQoknAuCtF3+NrRd/jeAD5//qkw5sP/r5Fd746++oi5oE5fN1FX3N\nUTYFOsuEB+y8cEZ9nKxZi+p0RgijUqhCkIQwSQkJAVVWqFyoD8qFugGLyNchVe1VTNtbTTnIyHNL\nHjs+VcGw7NrcVa1lxbeYMz12uWnWm2WOae1g23AN1mtU4aMCg/hJsSiBogSMgFIUCxXKZdi2wk8b\nsA5751087ejb+IVDb2DRzPAZTo2yappjd97On3Q+yMLajPfe/HCuYgtm7Vqewte4cucWdu8sYeeN\nFJs2orod7FQuEmt1FbEE+IM1Eth/iDN47g8u54+PfSp57nBBkalApj1lmcUMxTjihQo01AjxmSIr\nPaIF7CBKR4UiR3mPGsRGI3lO6PdR1o4mXvH6JsUGee1rzq9sQPR9BTmOWs64+pqqPOOKi67hik9e\nBcBbr/o/B9BDRTbqb17xHtlW8qPEt6+VHMb5vDWdw/lRB6gk61ZzR/eOsyi3+v0aBU6dq9pxopsn\nSpNsYyUKAi/ESdmumD1b8S2WvCC9OyPyO3Cx4ryWREw+Mkl5i/sVqLmrOsAxg228+u5Pc+rS9/nU\nhsdwydpTGZicWdvjnN3f4NW3XswnNv4EbzzyXHpZzpQd8NS7r+UpT3s5dCs2bZShZLoQPuQ9i6Le\nubw9StZF1Pgjx5zGl7/xV7yh90TmO120GmXQfD3mjZ/SRLWtkb9V4yfj4AI06ivYP0vUseaG6ufs\n3p+rV37+eq78/PXgPOe98PEHdixd6PE3v/XuuB/7QJYTAjyZ+YNVCgCT79cZirRIfh1XE8CGsXXq\n30zU5/jcT4hoQn4XI/I7pYc1X31tS2p/irYMNlWcDCcE2LbjuDSJ8pvR6Tcu8NLv/ysvuP0rfH9q\nA5889FS2t9aQGcsjFu7i/V94N9+f2cBfnnguX91wNKpSPPf7W/nopscyiMXSVZyD+9glLnHipUum\ngHx91eaiLafwnO9fxVuPOAuAoc1YjtxeF3fOukTXGveTScS8ppG5EQhWc69rYHciExFP9f5oN9eW\nVJ7CSDHnykuv48qLvwaI2sO+bH/VHl4CvByYjvv4gNQe7o/ttfgNRvzeZrtj5wjG1FxK4YJ6wIwF\nUqllrgpBEOAsIkMuBr4xANYuBr5WycV0Cp9SFUiXt6HP6bkWAz1g3kn1/MBLwVvPF6y4Fku2xY6V\nacoyq4vEfAa2I0GLGQayFUHVsr5mOesydchufvqEr3Lh0k9yylV7eOv3/o7PuFN5/uBVrNDBZxqb\nZXit+QKnsFYv8cLqC7xh+t384Z5nsqmzwoLvcos+lBCLOjs7LcuH5dgjB1A4hnd1ae3SdXrQ51Bm\nGZ884hTOv/MbvHXDE3DW1K0dQ639JulAhRql3P3EgB3Y+0Oy4di1HEqakNRyZzr+4F5oDE0x/kmO\ndwqAJ76zV/85EBYipziESHlIfleiMpE6C1VMmfv4BNaKYCuC01IA1++L9FlCCJP8VZbJ37CUIiyj\nwQjaPeKqKnQVMGXUW67AdqkHcG2k1KNXFSxkbWbyAbvtFAOfsyFf4vZqHcuuzd3lHLlydKJGlM48\nbs7ifEamhTLgjKSwTRUR+3U5+bIjd4reIRm949fy+/nHeNjaeV5/609z48aTqGZbZFWFuXuJa6oN\nfGTboZw2cxuvOvFaPjTf5tP9h/DE4ad49+5TyI4+Envb7eADbt005VzGykaD7Ubaz0oQNZRCshUf\ny36Ci675K/7IPY3hMKfTKamcwVqDrYwUgmi5t1WlJPvgiJmgUBcMioOAa2eYyKFXPSuFh1WkMFSV\njC1J6SHRcFJhW2XxtkQVBdrkI253bGsdSG2MG5NwIloctYEPWpe3umlFetKmSpn4AEqFbmn9ZlCU\nnsrpN1Iq2Oz9fgpm/GmmUsYMRq1dJ1LQiQZQa1LHHHC9JGfBSVC5YCUITgHk6KEZxpeM70fdrh44\nuXcrb/nuu3nnoU/it497HgPVqg8X4KJ1p7FluIdX3XUx7/3m2/iVR/8qj9vzXa6dPZp78rVQjYLe\nczZ9W/Z9o/z4F9c8DIBb7jkEgHnb5d+2HM/jb76Zj55wKlVLk8fo1sXA3dp0jtXYcvK8aSvHpqPv\nyo9M0E7qsTGdjn2kl4MayUrVk8vJvHVCftKkifHX/9nWmKxNFmDW/H094Q81QyD6XCoujNSl5qoj\nMCyep+hzPZsmaeKLKYM2CHk9SUvFm60iFTXKBfGDiUK4pGaZdjNm+TPveMP172PO9njBaS/luzOb\nx+g6n9t4Mm8+/smcd9c3ePvl7+F/PuKZfHbdKZx/99d5ycNfWvtOan1czSXwQ94vMvmxFAx/9LCf\n4C+u/zBv9mc3dw8AG/3U1+NFpEImH6uD3olj2YupST+tP9hHMLw3q6/7/ac37i/t4bnAE0MIOwGU\nUi+831u8L7YvibPmZz8M+dWN30job/0b0pFJHN6M1AlirJz+UkCXeL94CF5TWUO/ypktFB5FFQw9\n30KrQBkMVchY8m2WXZtCWzqmoozFY6pw0s51Sh4WifYgAY2gwbPfUdy+60guPGozGwZLvO3Od/D2\n7lP48s6TMIMKlYnUV9ZzhNKTLVf0yfk7fw7PMS3+bMvH+cjSGezodWjtmWdw5Bx2ylB1oyMv54S1\nDt91uJ6Cnqq7hCkPd3bXcsRgFzoTrV9RgNLSqz4osAoVC4jSA64+fy6dvyDNCkKQwTimlZuzvMnX\nsogDkdeCTrl4zRP1oSkrlq71pH/8R1na56SZGtvYJg4wEOXOkIA4qkFQFKQubqrRcjtYK+9l2XgQ\nDCP6Q4gz6uZhp2DXRTmvDKxTdXGm0Z5CO0qfMVMs0PMFy67NgutwWLGHQll22BnW5j2Zx1iN6htC\nBtVMQFeKrAemFIpM3hOqSzmbka84Zm8d8Nw1/8oxmwb8zj0vYLCyhLl7N1y3nWBt/dxUWcZXW6fx\n27tP5q82vI89O7rMqiW2DWfwh0yjZ08ghIBv59iWpppWuNaIcxyMojUvfLx7urNM2yFZcNgywxUa\nYzzeK0zmCC0lAXA8H6EE7ZU0ASlpNHuJg7JmdVYoZR+shSyTBiQpaCil1TGVHamQxGYlKiL9dTZA\nKxFziO3am2hx3fr4Qbmzg25HDnbw5u/+A390zC/x5XWPAEYP7abd3VrL7zz0ufzR9z/O315/IZ89\n5JHc2b5/td53Tq9lXX/lh6/4oD1o0f70pn+mCJYLHv1SysLsdR2rDZ86/NHc3NnMe69+O7tPnGFD\ntcSdrfvup3d21rJ+uPxAd/tHxvY3+P16CnyjXX8wdmaVrWpbq0fKDxNB8b6kz+oA2CFBlNeRj5eP\nPvdEBHH8N0cBcESCXQzqrMI7hYtTlNJnLNuCKSOtYqtg8EGQBEOgFZsKZMoz25EKcFsZfMdLetlJ\nUKG8FN6EghoJnr3ZM3tzxkurK7jCPJzPhdModAneo5dKVCuT/deg90THtZaPZI/iYUfcyUlr7kSp\nHJSidc8K2UwLd0SHYgn83Rl2cYrcgYkFdSEI8quswriAR6F10k4N6Nje2Vda0AmnpILeIWljK8FX\nrfgQ2QwqIsCqqe4gF65xwkcP/tCUQQsR2a1GhTvN615bLYC9v3m/A2MqBbor3v8AACAASURBVLHQ\n0PWd+D+lfrKkCiAosSoKfK+H7nRI3euSRBYQVS+8FLxpHSXP9FhqOU08tA1kw4gkBBWpD4rgFMNh\nxk41hVZyTQ8plnBB09VDaciih8yZFVzQzOiBaFgH0EkuKohMVXve01pwuJbGDKXpSjklkNrmPQv8\n4spXeAG/zc7jZ+msmcXs6WHUJuwddwKgZ2ZQRuP3zLOdOf7PwhP4naP+lZDl0jL0xu+hZmYIW9aL\nRJ8PtHcHqq6inAXblQmaK4gTWZlYOWvQXRczMnqUPjYBZwX90S5O1CrqAr50j+vKSxBceoJWdYfE\nYLTI0a30RsojeSZB72AoBYpKEUJEfxllqerg1uhR0JsyGw10X7IG1eheOOAB8MhXRqhYw3kab9Ro\nakNFJbUbrduPTrY5ngRwwt7fBxkbYIQ22VjwlloT7xkKgranI8sNuaBoU3pYy0kl9CmJL+qYkXIT\n6ePRDo32Jxj4tW3/wvuPeBxfOOLh2JnEg4j7tSL/ZCt1MpzXH/N0/vFbb+b4lW0EDXpJHpu33CHI\n7mfCiQAct2aH7GtsDLBmRtLevUFBbizoAq29ACARHbcRQUtFxbXk2iSSVqeRR8eyCujeX2sG+n7C\n5+5Lyvkg2Cqps32vKMu9oIhpbAyT1NVJADg+L1JjiNCIhtJvpDbCqeCsHMqP7uqLf94RJ0PTRp7r\n68wKPjpgaoSRGrgstiVz4VdijYCf2KHGtX3Y4t2cvftGnnzmH2DJ8KlorpP4F9H3e7Kt7xaH8WfH\nP5PfvfkSPIrcBnydLUhnM1IWEtKcGCQ1ZhObUcXdKm2Gi9JmYZIGM4n4poyOmxhfoKaXhIkswmid\nyXFv4po2wIjJ5/8Dedbvb/D7cKXUZcBN8fVJwGn3e6v7az8M+QVWCVemwNc54U4203wh5uXTd5pB\nGIJaKh/QLhCqIO17nRpDgZUTlNZ5KXqzXjO0GTYz9F1B5TNy06etSowKLLk2M2ZAzxf0fVEHzCZz\n+Ex4mz4LQn1wSuRInNyQPoeqq+gMKp4xfxUvV79Gbi0h09i1HVTp0ZVDWS/6qt4T5makKxXw8d5j\nefW6S6i0pnfsHGYggYIZejo7IF9S2C6xq5bc/F5DMAHfCjykt53vrd2A0kF0fpVwnpRCUsmJ/dC4\nh4OiHphVCLGbm6pXUi5ONibRNa1G6btJ82FV5xb5sagckQavsUC64TcHGQVOaeuRJJ+ptxmslQ5u\n3o6k+3KhZehWS/y1KOTaxSYJItcXucDttjheWUFLiUJCu8C3Je2mrIeIXmqnsLqRugvyF4KKtXKa\n5bJgJh9wz3ANm1uLLLguWnlWfAuDZ1slNSzdVombVSwv52AVJkA1DaAZrNXoKpD3FMM1mmAgGyqe\nMn0tX779MAZ75pmeqQjdFtXmGbyZpZ0ZoQ/kmcjbhUDotvmWP4EldTU5gcMPV9x99yxhuoubadcP\nJ1MGfA6teTkeXyjstAS0x/R2sqs1jUejXcCGDG0cWSbor4+TskRpqhk7KSPh5T5PusSm8iIjlyTZ\nnI9FhjFgLSvAxMxEbEYS/Eiaz0fEP0kuBl+vI3q/qpZjVHkhNJnICa41fvencv1Bu182Vy3zpD3X\n86QTXrPf3/FK854jzuLXb/0CC/n9K0Y8Zn4nNxzyyPv13Qftx89++a7L+fDmM1cVXN6bfW7DSfzB\nzRexO5/i6MF2vpPtX1Fmsocsb+ee9gGtYfwvbfsb/HrgDxuvn38Q9mXMpua6vPLvXgogBUuf/tre\nV0ydk2rUz48C4JBaxk7OWmIwlYmQvQpBily0FsWHLKo/eBW5VYKK+sT99cJ5qSpDVYgciA26pj5U\nwRC57MyZHndVa6mCYegy0Vy1Bu8MOIVve3xp8A580lMtA6YRCP636tvcYrZwW76JzDspQmoZbFtH\nioSlBah+iZsq8Ou6hExxtZlj6D9Hi4qHT9/GVUccFxFCao6uLqPChB695wvoZj3Ou/N6fuaxL0fr\nUFfRD2MLWZ15XJI6ipMCoT1IYCF8SkEjlYtKGkH4VToEaemYAowYFNSWkN6JZha1ykN9HX2t+hAm\nkYBG4dsZ559aV9JzMNQe/u6lgGLrRVez9dPXjCZtqetbY3Za67vaSoQgYkq8yVEPlUW1IzWiKsVP\ni1xS6504GBqFsl78RCl8roXTGCkrZhBn+E4RBgaXeVqxUNEGw1LVZi7vM20G5Mqxs5rBZwqjPHcO\n55htCZKx1HFQalg2aNdoD2wUxXLAVAEiino+V/O/Zn4JFg3uu9+Ll0FRHH4Y9vY7yI4+kjDVkWve\nH4L3uHUzXLx4Ck9tX8V5nevYesTz8bnGtQ268th2xnAuZhbixMq2Bb31bfjFnVfw0SNOE55c5Dbr\n6JcS/EaUodRoK1rF2hILWWWikA08uvJo62MR4UTWIc/ACmJPnhH6A1BKmpaUpaAikwhabMZTZ5OU\nRmlPsGGE9Cot7xvFGeefyunnPVp86l4qlO+PTc1O8Yo3XQCMquhrFLd5nDA6jjTZbMoRpolnnF3V\nKE9CZdJv7QWlXIUCJ2A5IcB9GVdS0dhUFkX1I2/y8GLP6KthnH+Y+MKJ27kK+U3bcvC03V/jX9c8\nkvl8WubjawQoWLtOsmb9oUwqB9sEpcvn5cc+d8hJ/MlNn2DjcJHj9mzne1ObCNvlXvz+0hZZzkhR\nRVakcyf7s2VlgUdvu53fPefnZXe8Th1tqSJc7SLnN0m/1Y06YlOQVI9RI8H3hRq+LzmwvcnZreIH\nj/O9T3/Kozj9nJPSegdc7eGVb30x0FB7uDcJvsZr5VdnBWs/TIeW3LhGepN8W/pc1X6q7fgyXY8q\nttBemRI/2TUUP9nZEr/NGxcm+e6aOJZua8trV8Ri6ITe1oWK8rpVVZy/41qeevLv1fJ5qZzLTDUq\ndQFfRq661XgyPnLImfzUnm/xrO1X8LrNEvzmS7Juvqzi9uPxRgzQxvrM59y+lY8e+Zg6s+O8qv1z\nGJdJVpDorzru3+T5GkOA0yAzWUyZLlfiZNe3zV6u8eT4NGkNUOz0c0/hjJ8RXe0HrPYAPCeEMJ9e\nKKWu2M/v3W9bme/xxt941yr0d1XhW/Oz+kYYpz8k/VThV0YkMp3QKI8mkUMQRMaFEXrpZdD0MQhO\n1AesdD+zzlA5Q9lQfFiwXbzRdZpuwXXYOZxmxRUY7dE6yEM5KFQVkeX0cNcSjOqKWGgXOKrcwbfz\nI/CFNCzQpQcPrqUoZxR6rsBOG1p7KnymcS0ter8GbuwfgfKBZy9dxrXFsYDobtqOIMvoqPAQ61pS\ne+Kf/8E1XL7lWHbOTNUqAZnxWO+l6UWkO+Al5aFLCYqS5u8o1ZgCYT9e2BYLj1aXOevGgzcWvGnk\nXKVn76T6Q/M7Keht3CRJ7QHgvJccYLWHheinIL6qRxqvdYo7iLrDCL0O6E6HUFlCVY4ksYxQG1RK\n1xkzQhyHEgQr6+T7WuPbGT5PqSzJGhTK029J8aJy0knLKY1v6bpSeWgzprOhSJrpqh6wr10+kmkz\npKUtc0WfuxfXoAtH6Jt6cqRicJ0vBbJ+qP220ytZ75f4+lHH0p62tAYD3K7dEAJ+x050u03YPY/d\nslZ8oZUTck25tsV3dh3NM8yVPKJ9Bxs6y9xl1ot2sVJkA48baNG+1kombFbuj1Y25Jl3fZWnPenl\nKOPRKqBje2NbabzXBKuFm24VPjJHlI0+GwdoVygyI/QQFaR9dJ2dUEoQ68mgMOr71r6nFcoUsm70\nhTAcCu/Xh7ECN7wbob6R63vFJ6/iik9ehcoy3nL56w6ki0oV/X//B3nxY84pPnK4k291D7/P36t0\nxo3TW9hdTPG82y/nz054xn5/9zk3XM1Fx51ML93nP8J25eeu58rPXQ/ecd4LzvqPV3v4MbAN1RIr\npsX24r7PLb45dThnLtzEz+z+Om/acD6L2dT+bbNc5Anbv8OfPOqZ93mb/9XsykuvExAKeMtX/myf\n6+1v8LtJKXUxcDJwHaL1e1ClzmqrEbTVAbA8VOKbjYr/utHFZIUzjXWNqtOaQXuU1gQXUV8n1Afv\nkubvKEBNKCdW4SvNsMwoMscgBr9LViRPll2rboDh0Ky4Ak2gtJlU9qbYLFAjE0FH1CLSBOS1ovAW\n57XMbrXwFrOBQ+2GoAy2oyinNT4rhNqQkFYrHYdubm3hFwdf4emLV3KxeSy5ClSVopxWuKg0UdNu\nHDxyzx284tv/wguedAHGCM/XB8WwyqiqDO803moJfCMtRLtxHmV9bM1uet6jKj+a2cUAUSrv07Xx\n4zP4el0t3G3fQH+9r9HfWjYloca+sWz60oG2EBiv0JcAWLYXV7F2pPEa98n3eqIEkWUSHKtGa9xm\ndzsfecDWoqanJbjSWtBInwlKqcCUvg4YxUcDphSlEmcgWE1VZlRFRekNpTfsGIhk1CHFMm1dMZf3\naeuKjfki81WXuW4fgPnFHJ/BYEOgWFC0dgeyQcC1EjoVKGyFDYb2bosKAX/MoejDNqL3LBOWlmDD\nOihyfNugvEZjsdMF+bKlMjmmZfiwezz/I/8ArwovZVl3GM5KS2dlwVgoVjyDtbEVcdvxl9/5IJ/f\nfCK3z86R5RaTeYzxKBWEklSB11oQHU9UUYnIeARQdLzH60yI9SJ3BoK2r/RlnChycA4/aNQgxKLG\nmqbiXE1v0O1Wrd6BlUmOqJikhieCbCqjCDbUE6BVE7sDYvdCo0jbm2h5mxgYSjUk2XTi/qYBq0Fl\nghGXdKIIWbtQC+271ICi5rTGdWMTgX5fzsO2nvhmERsFWK9rDmXi+qbWq3U8XyNME6+TBWhZi8sy\nWrsT31OQs/mIPrU6kePYiZzvpcgBXlZYn3PZ9Am8+geXcPnc8Xz+UKExJF58KGXfbWw9G1qex237\nLs+68Rqeed6vj8ubxYxAWUa5toEss37cXj8eSmoHXcZl1Tjnk5e1RtbS6wnIs0YY78Uf9jE5GjUR\n+A+i5OytfgdGtRV7O5Z9oNf7UG1rfD5aYZKvXiOa8fyrCY76zsjjXdtAfrtp5WjdmMVod2S53Ikt\nrO24bFjaz5azVCqTbcf7JI9+WEb5stTkIt1XaT8rpInSJzecxl/c8X5+89gX42KxdJJ3TL4UQxXy\nUPHGG9/Lex9yJgvtNq3ofK3c1ioPKzEjUg5k33X009RCXK+6rxsnYMINR7zyeA1rAGx8XBlb1lmn\nxHl+4OPk/kYDvwe8EjgK+F3gDx7wlvfH6q4uq6Wu6u5vwY8+uzfyc6I6WOEvBOdHaXUvvD7lfa1L\nJ2nQUAcSyo4QJ21BWakit1XG0BoWhm32DLrsHE6xczjNtqHo+i67FtYbZjIZxTp5RVFYSS2kQ9BA\nEMTXFUgKNxXXucAiXdb5JZRFKvi7hqAVZujo7HJ0dzrylVBTDLKBk7++Y51bYref4dWzL+HFw8/x\nLP0lfNdjY+BSH1dEmR+/59v8/XXv5DWPeSbfWnd4nY4LQFllVGWGHRoYGkxfY4aCLgriK5MGoT1Q\nN7oIWjiVwWjIJBiRwTusGqhIE5fm9Z/UszQNt90bQlB3rZr87YPE/a2J/FHDNXhB94y8Vq1WlMgq\nhR8M6G63npSFlLJryvWByKMZXafHMXokdxbpOnWK3oc68C2WA9kAicNLJUURXuGsZmmlTb/KWSrb\ntI3FB00VDHuiBvWucpqd1YxM2rymtAYKP8br1m7ks+WU8MV7qkWGY+77d9G6eTu6V2JnO4Rum3Dk\nFty6aQgB049FYJUnX5B04NpygeXQ4YP6bG7yh/EG3sEhxR58pmqOrmvDYK10eZsNy7zp5gvpVCV/\nfMozwWrs0EgTFiP0HFtJA5q047pUsaCUOijyRn7fDP2qYEI5JxONyhKGQyk4bF7yopCJSyxQHPss\nNcHwAT8cylilDSrLpTNcUvJQoy6WoSoPUuD7oDVtwXRZb5fu13fXV0vc3t7Ay076Ff78xn/iWXds\nRe9jTFHB8/TbruVNWz/Ib579HG6fWfdAdvtB+zGy+azLWru8T9+6N9tQLbNoOvzFEU+jpwvedsu7\n2FAt7nP9zeUe3nP933FXa47/94hzHshu/8jZ/iK/N4YQro7/b1VK/dTB2qFVllDfyQKmJG6ceD2G\nMcRvrM1xLH5Da+H/Rt3fEKSSWYpXtBRcWY8yIuGFj8iQV40gWAI9PZRUrM8CZZmRaU9fe0xERaay\nEq08He0wERIZRkTQqIDJPD73qH5WI6/Kx0C0DBGdCugqcKV5GBe4L/Cm7OcoyXAthc/TbC6gyyjh\nFovZzEpFyA3d6ZKT/a28rng2i2GKl6z9Lf545SP88vK/8fG1p/OF6ZNZ9F1aZcmjq1t4zo7LyPC8\n/OTnc9lRR6EzF0+frnmUwSMoTV38p0ZNDyK3L/F+k2kXJJUMgv42ubxai5ZqWt8YQizYw/kGmuH3\nHdQmtwijNrO1+TDynYMR/MYCpuCcNK5Iae/U5CB46fgWAyCZeLnRvhgDdhijMhqob1w6DzqgWoUU\nXiklATCg+iW0cyikUAutsB0jnHDDSMnAgqtUrWe5PGjV0meLVZsl22ImG9IxJUOfcddwlvmyQ+W1\noFWxyFNXKmrsUhdk6krabVczGVfufiiP33wrl/ZPRf/gbvK7tqFm1+BmO+iB+KRMQgOhZTC7V3DT\nBU+YvYGt4WEErXmDejrPMl/h3Yt/w/WDo/nnuTO4zWzEDRRb7B6etnw1Z/W+zSc3nMbrT3gqZQFk\nHlPI/dwbFGTJb4dG+MqpaNXKMuuJ/2QDL/z3lDEycVLmvRTlWQd57AbZG0iHNyI6GykqaC1yiZUd\nH5cqu1pXOnhCFUZFcXuZ1Cf94ANqgdVIWmqokri/aTf21vxiEomJ3033dEKC02uV+KsJAdV6hPqk\n3dgHouYi93ehEJUH05AymM2jUk68wdNYm643dctVxpb1aTDw7zMP53/e9U+8fe05oBTTd8hK5UJs\nlTwjcFjsB1CrPhw7v51Dh3u4MRxJ32RccMLLeO1tH+K3bvkXPnDMGXxx0wksdVpM2SGPv+MmnnfL\nVpbzFi94/Iv59sbNQlNrtIlP0xwX0T9VJq4vE8s4eWsiviDgTLpW96J88ENtX+vWNTT7eP+Hwan3\n02pEd+IeWNWee/IZEO/ZuLKsO8n5vQ+nZbJpQ0I4TVRXsG3x0/m2+M0d+RwAlTfM5YKcVtFPs+in\n7VycvteJKi89M7aNdE/M62luax3C4+dv4N+nREkkqU6YmCFI2r2Ji5yQ15/d+TX+dfZEKA2/fdQL\nefk9l/CJW/4vV0w/jI+tP53bi3Wghf7z89u38tiFm3nPUWfx5of8dGw4E2o9f6NGOH/KUIReylCM\nc9JrP631LGWRsteNt1abm7hAq8abvYBkkzYxNu2P7W/w+1Cl1KnA94BjgeP2ewsH0vYSvIw9YJqp\n7h8mwj0po+G9cIW9UBrINLryhMzUTS6CQR74MdjzVhGswlYZZeYpM0ffjvRVXFDkSriINmisFzSq\niUhB/FeNApWRRq44zu36EG7WWzg7fIN/caeiCbhc4XOFylUs2AlIq2ElQUYInOev5kudR7JjdgZT\nBu4x6/iNqV/nSLbzrKXLeN1dH2DaD+ibgpu6W3jt8U/nig3HYadAF0PywlIUNqoFBJQKlCqTYKwh\nC6cS77dixJO2ew9Ux7o/TUqeOTeO5JrGg9cY8Hac0pL4lulhnJoOrLrW47SZA2oh1JJW1HQcPUL/\n6uI90EWOjw970X+NQWxeCJqdJM6yTL4TecKhdKh2u6ELa1DWERIaqUapu6wfcC1pnJL1AtW0QpcK\n09c4DarlsFbTVzl7dIduXuGDIlMeHxRTkQt899IMU0VFK7f0Cy9+PyQWvSmyfiDvxUEvoqcf7TyO\n31CX8Kn2mbTKQ/BtkeGzMwV+XbsuhMxWKlw7I6yfZrrscXb3m/yKeyXKB3qbCt7DE/mn8nE8ubqO\nC3Z9iQ0soFRgdzbNZ9ecwv8+8unsmpuiagdQFpUL1aGMrZzlsiioNKrS6L6u761sQC3LVze1skFU\nHhJPO2kpN4u+7Mj3VKcNShOGQ+nuFic8afKjtBplAJo+yKiJRe0zSgkf2nkpgkyTpwftoNg13Ydg\nleax/Zu5qnv8fn/vWbsv52NrT6fSUeass5lfeOwreOTi7fzyPZfxN9d8gGk7ZCVvcf3cYbzysb/E\ntRuOkMkxDyL6D9p9sw9teBzP3nl5Hfzujx063M0pK7fyu0c9DwCvNG/c8rO8a+OTeNrur/Kyez7L\nertEAHbma/jkxsfwmuOew/xsUpQ4SJnR/6K2v8Hv/wPezYjz++KDtkfRxtQePn1NTWCetDHkd/Kz\nELV/UyrZe3mQNXnCUVheOL9xXT3q/KScoK/aEJtRBFmWCp2BzwzOBKrM0NcS+DqvJWWcZWTa1VXJ\nS1Wb0kkAbEygMoFQBMIwcWCo0bTgYgxvwWeKD7fO4tX9T3BV92EshClMFepA0wyDFMGlyXqu2Wz2\n8IvhK7y6eDGoqI8a479b9Ub+Yv0z0LOCEIZMUU1JI4OQAcajjMwAcyMDt/eafplJoZuLhXqx2Cno\nSHlo8H2DUmjrR+oPgVr6THlGgW8qKkrap7F4aFLpYfT+vpAKvfcgWCvOOPcxovZwMCqU57q88u2/\nBsDWi77KlZ/5ev1ZQoRpIL2p8C21L/ZlhS5yyHOoKvxwWBdHqVaLEET5IQyHoDQqBrw1jzqEmqMa\njEiemRJai55yWtfqJHqoCEbj8gzaIn1WRtTJec10PqT0hiUrqPBUUbFS5livWbO2x+LQoKwh6yny\n5TjRUoLqBwPZsuPr4RhyLOeHq/nEcWeSrTiyno062cLtzpYr1NChMg0q8Kvms2wtH8qOqbWYgat5\n7z1afHTuDD6qzpB9bEE1Iwh0WieYIJ3bTGi03Ba0OiHWCbVO3HQCdZYEwAykwC1oJXx061GlHSEI\nzsskLMugLAUprRy+Pxhd33StE/prCpm0xONWRiZETW3f1AADwA8GnPHU0zjjZx8jPrWmcyBdlKnZ\nLq9486+Ij156HVdecu2+EeCaUyeLoLzwfmEV9aO+39IyIm+6kqUvEqocam7vSK82IUeRBxufRC5m\nx/pK7o+d8Xv9KmMuaqSnAtxBBBqS2gMmwXVxkSY3dT0BoBTvW/94XrXzIn7l6N9kENvTtvbId4vF\nmAVozJVPGNzBU3dfw3OOehVmEGrU02eKG7Mjec2JUkDnphNBMx6jllSYztO4JO87p2s6mevHbGBE\nFE1E1FZxfcuIrNnG+LevWKXOeE4iaIy/vh+Seqc/+ZEHV+3hLS8CGn66L5vkfjZ984ccZ40ET/6m\nGgHaqzrrpesQr49bEYftt4QLu10LR90HxXI+Lk/Wn/DTNEG3OqGlMSOQeLMeLp07hZfffQlnL32T\nL80+svblWrlhSY3tpw6e19zxCT4x+1iqsiW3QjyWlaLDB9efxfsOO0v2PXJ9E3rspuJ9GxHpLOlm\nBzV6RtQZivH7NvnnSI1k/KymIuV4AtK78nLyAkxkn9RkZmPyf1gFdoUQOOO8R3PGfijn7G/wew7w\nwhDCd/dz/QdsK/M93vjr7xh/cwK9a6K+wTl5nRDJJv2hIX8WQpAB3ie5AbMa/Q0aFUJEfpUI5Gcy\n2GkLoRK4P8SAOGQamxvKJLGUC7pbelOnPAB6VV6jqN5LABKM6Iy6VqipFj6T9GvQCheR5st4BCf5\n23jD4J28evrF7Alrxu/eRjByODt5vbqQC1tP4sbicEwpTQLqFEQaGzVxO9QczlSAJ4VD0stbq4CL\nAUWwGjXUEvyXCl1SqzvU1BCf+KhBEDYbBBUdOpRzsQtcDAxSSsPoqKeqRdHKh8YMQI16MgJohcKM\ncyQb6Y7JG2Lrxdey9dLrwIcDr/Yw3+ONv/b2eA1Uncqui5hUqFFeX1YjvqcRv1N5JmokSKGbapD7\ng7VR7sxCq4XKDME6VOZlsI8cdQaCNurS4wqNz1TtG2YoNAWtFd4G1MDIM1EFln2bqc6Q0hoqP0s7\ns7SMlQ6FzuC9xke5G9WWjoSuDXZKJoE6iFJCUKDahmA1f+yfz5vC23GLms/ZU/GxM5Gu5D7UkfOb\nL/Z50YYvcwJ38LLpl+GUkkI4G6i6Gp9BNgxUU6qWbwtxchg0uHacUGWeLHd1wOucxjs9KheI8nsp\nPZe6DwrdAdDxHo4Up7G0mY1ZhRSwFoUoOHTa6Eh9UC42zUnNMKwd5wGr2OxCm9WUGEYTpK0XfbWe\n4L/1ytcfSBcVRZJYRT+ZTv5xtI/Pnc4pvVt58w/exau3vIgls+/JxsP7t/PmO/6e1236Be7O1917\nsdiPgR1stYcH/VRsqAtefsyL+Ntb3smfoPjymn0jwFmw/OndH2HGD3jLhnP/A/fyv6ZtveTaWhr3\nLZe/dp/r7W/w+2zg7x/4bj1AmyiAC446IFZNbiiMBcpjAbD3UYQgAIbg/WhigiCWilgJGAu2hI9p\n5OFtBfH0RYw2AziX4a1mUGQMW45e5skLizGeTPtGhzQJJKwV2SmVeUKh8G2Fclp0hCvZEVekxgUS\npAateGtxLv3lnPct/jWf7v4EH+3+JHerdbhC9u8h9m6eUV7BOf1reVv7fC4qTqeaUkKRKBjj4Sgv\naIvPFL4FrgjYqUBoeWg5sqjr67ym8opymOOWcnRfYwaKrKcwA8iXQ+QpS/CgrXCQzdDXXbMEnbRS\nUGi9BBUJ8fXxfyuKBiJT5hr8NU8oRwGJUkqCiCg1da+DZHMWerC7viklmr0RtQ6xwYHSihBTDanY\nCaiRQ5VnkKnYMWxQUyBUUYyoO0pDVRIqBIG0FgZDVKsQxK6d1wh7sVhR6pyqq8n6AduGYklRroGs\np/CVKHy4UuMKj60MSkG/VaGUKHsoFbDWkGUOrQO9PS1UP3YktBqfK1q7Fa2BTJxcofCZorXouK29\nid8Kv8Ffrfw9T8y+wSfD6VyhHo4PCtvNmOqt8FPF9TytfTXLtPm9rPsLfwAAIABJREFU5QsYdFqQ\nwXA2tt6O2YSqEHmyYBTVjPirnZLiU9f1hJanaMt9ZisTi0gVzinCcka2bAS5iYhvtgLZINT89Gwg\nPpENnDSMKS2qikGp8zFwjah9orcYQ1jpyQQrFrOpPKK4StDdUElLY+ns5utlqLNMsc3xpMxfuif+\nI2wfHOBR8WZCXfwIBrXx3CQgYbLYVI8fT0KBdBUwWQQGInLk42QkaY1mUXtVxW3ZiPgOI0JclVmt\nwVtzfKMNYgV66no1iYjW6FhjAv3ajc/id7Z/ko/d9n/56NwZ/PO6M9geeZsAJ/Vu49m7L+fspW/x\nv7Y8my91Hzlq2pNuywQ0p+0mTelW5CK3ZLJTxKWO59Q5zTAei4q8z6TuUHMoJ5DeJMtXd9ba23CW\nuOsJXU+XZ18I8f5wKf+TbJVs6WTnuVQU3PA1ZcdR4ODHO6mliYuvO47Fn0p9sBpsxDqZEH0mJL8d\nxE30ol8W4nsrqawEGEQ+cLqTk2LCIGrkp0xwrS+c9PJdoq7JvtxgjuRlx7yEN936D1w/dSUfOuRx\nbO0eT1AaM4AZ1+Pn5q/mWQuX8b1iEy/f/GIsGXVn1XhcPjWzjUIRk4hv0rqemhnE0yfnsbSG5Z7A\nxHYlj/sWUerE1U8srRptH53LdBLq//fBPFST13ov3N99dnZL37kPXN9k+xv8Xg4M6p1V6oIQwoX3\neWsPxFJxSIjQZHoPRrJnkzzfSfmzZgCstSDAzomvRCROiPOqLnxDK7TV/H/23jbYluwsD3vW6u69\nz7l3pLki+iI/YidO4UpVQNKM4B7JSQDxpbl3hiS4QKk4KRlrJAEixbgSEttgOyS4QsVVzjiFQB8D\nocohHy4bx0gaIoxMKnHBCGuE7Th/SACDC4PF10gz956zd3evNz/ej/Wu1d377HN1zp1rsd+qU/vs\n3v3dq7uf9aznfV7qRTcqL+a4CSxJ1eplITDjNAYMay6zGiOhaUc04j2qoIIIAAW2OCEI+wSzW6LI\nn1EtmEw+GPAjr/w6fPzam/BNd34e/8Pv/lW8GI5xGlZ4iM7Q0YD/7foJ3vHF343PdA+74T9mlXUb\n6uerxS1SxxW00BLQEJpVHqZLKWDoG4zbiNAL29vDWGIKAWFQp4k81MhMMiH0o5TflYdIjAgteGgj\nOc1vksRDT2dLdawJwBUZS/C6TEwZ38Lq7IqrvIFIJA7SljBmXa8wwRgGkHeEQIN0tkFcdVzUomu5\nbYokJCSwDKJtBSSrNZocU9twsqB8j0RIXYO4SWgDd3ja04DU89Owf0hGMc6kOhnYsi4cjdiiQ2wY\n7KYUsF4P6Ps2m5oHmL1NSAC1wPaVXJZbnUIoMCP866vX4lvpT+Mr0/+Nd8T/C/8ZfgK/E1+J5izh\nNa/4HP7h+IfxAbwdf7/7Egxf3DLQvRZdtTVgPA4YjmQ4LUhHbUXcMbxGoIYQtOQnBbTdyA4PfQRt\nuWQ4BbZIi31gD2pij+u4JbQbtoaLPQz4WkESNzKBGAAZubDoOuBsYzp07ewEKaNucggtn7rZsDtE\nZE0waRImpYIhnnU/OcSVRAoR/+3r/n38zS86wbf8/s/hJ375L+P3modwFle4Md7BiIi//qq34q+8\n5gm80D5U5ioc4hD3Kf7xtT+E23/0z+L2i5/Gf/obH8Gr+xfxu+1D6NKIVw+fw9+79m/gL772HfgH\nR//q/es4f4HEvuD3KwH8kxDC/yff/xUAP3Yle7QUVPUAi5/IPjMQFrAqADiI20OxvHcC0GFICKAb\nR65CFiNX0gq87dSG/LLvA093GbAJCYQGaQyglotZDFJ5SmU4RIGT5frIlVJSZidSC4Q2a2myjldA\n9wj80+bV+O+7J/CBV74dr0sv4KHhDC81R/hnzRdhjA27UHTMTqu9k/VuI3Ip41aA75r/qE0IqxFN\nqyAoZn2aAIqQMpjgQhwMSLTMcdb3yvbaiLAVdnckPq+AAxexTF7TazwO+bqhBLYhBJCVrXbTgWW7\nqKtKeANgvr7KEEqCnSW0KRhStmLojSUOaFgOMQws3VE/4L4HdR0zwH0PSJIVANGmB2gBhgAAQwKt\nWpbrjMSVxFQGF2HWec2GRxQQIzMADYGGgHHbYuwiQAFBrn3aNqAhAEMErROoDwibYAVRUiftauRO\n4HgUrLLc2XqFj4dH8dPDI7hx/BJu4CWkMeL30ivwuXhdiqkEcUwR54ghgFqARLbB8gbe7/GIgTFJ\ne8U6IXYJlAL6MXJS6aYFaZKbVHKLW96nuIV4YMMkPs1Zylp5rxl/8U7WnwNAIraoI2KpQyP+w+Lx\nm842/NxxSYxII2gzctsIMY8GeE9ocf/Icplx9vl2P8OYNNNGJZD56er5UEpJdZfKXGmnTFbmKr0p\ng6nPNdX4Uk1YVDnhSTpfYx9w2ivZUQJRUncJcUyYrNESG/NzVtm2X+lejx949Tfhr7z+cby+fwFH\n6PFiPMJvrL8IKcTMsHbBDn0UlUT/EP84qNZXvIHbI2bSVlLpbdWWSYzbLbdTAGjPSq2vVXRTH+oh\nn0PAMb6E5Y6SOTXIs1P13PWz8UHsaPkKnfvM5xlAbY86QiEFgDDqO17O5QLq0RwaILflKD66jTqJ\naHU4/QyaN8HfXxqCOSOYQ5JQn0okJLUP1dEQYWa9ztzcPShgizX+xo234G88fILXpxfw8HAHA7X4\nTPcw7hA3Rt1vY3mb/P9E4/sKmfkVJeP7iiNufMpM392s0J+Kr+9LOkJRt1MdmUCxH4XX/5JzSO3Q\nUGt97XMsnsW8aMUO30PsC35/BcA3y/8B9yHhDcA9DwMWEggPehRkBQXDMuyOBoRk7G8YUx5SjyPk\n/Y4Yme0Fogi+RacbAIBZtUARKRGoCwJAOLGnoPwTLBknSPUp3nGykqv8fhFWdVSgytpEnXaWOvwa\nXsMVwUJ+qTNQZgCRWljVNv1MnYDeFgx6VwRaJYQuoemSGC9EZnxHBkGhz8xvs+HyuVrNzYpkEIE1\nvimD4CHZdQz6ovd6X8BYYCLK12zVSeOXB5kDweaJq+1DXSLmhj7qQheXHWp11qvyX4ba/MPbJzp1\nLWi7zZZWyi4mQmijWKaJVl0ttZoG2LImmFIQ0KTjcnLcw4h4ZwNacdW3GBKAiNVLCcORtgWpUDiw\nVhuvkKEwATM0BqDlTt24idxmpY0S5Yezjh40G5hzAoRVBYBhHTB2Dbq7zNr/fv8K/PbRw2hGkk5X\nMOmNAmkAGI7ZSWJccVuNI98qJtE5IqSjBHQJ7fHAnclIaEOyhAxeEbfT9i4zu81WXCmkUxZ7kvuD\n0JyNIm1KsKpuTQPqez7n4uUbjo+kWMVgxS1MeqMdMQGx3Llpp6NRWu46sBsIQuSOkh/NehAByR+A\nOI1r/Or6dXko+kCiHeJBixDwm6tX4TdXr5rYox3i4rEX+CWi/wAAQgj/EhH9LoA/f6V7hSqLfofb\nw2L5Y+/tmqK9YFX6oPq9EOQtDAEoYwDWAWhkeHlgTXBsAleFk2g3olEAodEkssRDzSEJbusAbANI\ns39V5pDy/1HKG0MSekhZ2hFc0FsoY03Q0QpwlEgxt4Fa6HcpDgD5U3kDVTIHagX4dglhPSK2CSFy\nott20zF7vWk4we00Mtu7hTHVzVb0vj2ZHZxVitMkN32vE7HkQb1rXWIXX6aUHR5Gd0dbr7GWNMQM\ngJ32sHB6kGVObufsT1x2hvIrj/FdP/inEGLAcx99Hj//ked5ODvFzPKpx694FYfVCulsA/UADl2L\n1G8kYXNECF0+JgFaltDZE4h6rjh2esbgTK3fiEDHnRVpYUY+ot0QUhvQ3eGqbGNi0Mu9d24kFAFs\nCWklEpkojP4QEDehYJxYxsK2ahrthhy7x+AydQERBIzBfCDVnSQkQn89YlwFDEcsyRmOSxnQeESg\nAPQr0fh2BLQJcc169LZNGAcuMZ76CGwaIDGL1myy/7TeU4GAIEVq2tNUaPziGTs8hDunmWloRJpA\nhLDNlffStkc8WnM70xGjtgWNkdl8devQ8tQqi3BV/qgfEDrpOCXCya034uSJN3Ob2pGhfE9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IFzp/gBHuT31gEIvzH1yBwDg2hh0diiTHST4o8aNzLMLbpOZXtjn3W+cSv/D4kbugJfrebmCgdY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\nvbWvioihccRXfP2XOnZV2s044ubX/Zv5ejnWtpju/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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plot_images(obs_direct, hdu_direct, filt_keys_direct, \n", + " wfe_drift, fov=5, save_fig=False, show_sat=False, well_frac=1, return_fig_ax=True)\n", + "\n", + "fk = [filt_keys_circ[i] for i in [0,-1]]\n", + "loc = [(1,2),(3,2)]\n", + "axes_update(axes, loc, obs_circ, hdu_circ, fk, \n", + " wfe_drift, fov=5, show_sat=False, well_frac=1)\n", + "\n", + "fk = [filt_keys_bar[i] for i in [1,-1]]\n", + "loc = [(0,2),(2,2)]\n", + "axes_update(axes, loc, obs_bar, hdu_bar, fk, \n", + " wfe_drift, fov=5, show_sat=False, well_frac=1)\n", + "\n", + "\n", + "axes[0,1].set_ylabel('Direct Imaging')\n", + "axes[0,2].set_ylabel('Coronagraphy')\n", + "\n", + "axes[0,1].text(0.5, 0.9, 'F187N Direct',\n", + " verticalalignment='center', horizontalalignment='center',\n", + " transform=axes[0,1].transAxes,\n", + " color='white', fontsize=11)\n", + "axes[1,1].text(0.5, 0.9, 'F210M Direct',\n", + " verticalalignment='center', horizontalalignment='center',\n", + " transform=axes[1,1].transAxes,\n", + " color='white', fontsize=11)\n", + "axes[2,1].text(0.5, 0.9, 'F356W Direct',\n", + " verticalalignment='center', horizontalalignment='center',\n", + " transform=axes[2,1].transAxes,\n", + " color='white', fontsize=11)\n", + "axes[3,1].text(0.5, 0.9, 'F444W Direct',\n", + " verticalalignment='center', horizontalalignment='center',\n", + " transform=axes[3,1].transAxes,\n", + " color='white', fontsize=11)\n", + "\n", + "axes[0,2].text(0.5, 0.9, 'F187N + MASKSWB',\n", + " verticalalignment='center', horizontalalignment='center',\n", + " transform=axes[0,2].transAxes,\n", + " color='white', fontsize=11)\n", + "axes[1,2].text(0.5, 0.9, 'F187N + MASK210R',\n", + " verticalalignment='center', horizontalalignment='center',\n", + " transform=axes[1,2].transAxes,\n", + " color='white', fontsize=11)\n", + "axes[2,2].text(0.5, 0.9, 'F444W + MASKLWB',\n", + " verticalalignment='center', horizontalalignment='center',\n", + " transform=axes[2,2].transAxes,\n", + " color='white', fontsize=11)\n", + "axes[3,2].text(0.5, 0.9, 'F444W + MASK430R',\n", + " verticalalignment='center', horizontalalignment='center',\n", + " transform=axes[3,2].transAxes,\n", + " color='white', fontsize=11)\n", + "\n", + "\n", + "rt_vals = [(1.48, -80), (1.29, -36), (0.62,-125), (0.50, 180)]\n", + "axsub = axes[:,1:]\n", + "for r,t in rt_vals:\n", + " x,y = nrc_utils.rtheta_to_xy(r,t)\n", + " x+=0.01\n", + " y+=0.01\n", + " for ax in axsub.flatten():\n", + " circle = matplotlib.patches.Circle((x,y), radius=0.25, lw=1, edgecolor='orangered', facecolor='none')\n", + " ax.add_artist(circle);\n", + "\n", + "exp_text = \"t_exp = {:.0f} sec\".format(3000)\n", + "wfe_text = \"WFE Drift = {} nm\".format(wfe_drift)\n", + "fig.suptitle('{} ({}; {})'.format(name_sci, exp_text, wfe_text), fontsize=16);\n", + "\n", + "fname = \"{}_images.pdf\".format(name_sci.replace(\" \", \"\"))\n", + "fig.savefig(outdir+fname)\n", + "\n", + "fname = \"{}_images.png\".format(name_sci.replace(\" \", \"\"))\n", + "fig.savefig(outdir+fname)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F187N_none_none\n", + "({u'units': 'vegamag', u'sensitivity': 21.41326451425987, u'nsig': 5, u'Spectrum': u'Flat spectrum in photlam'}, {u'units': u'vegamag/arcsec^2', u'sensitivity': 17.769601269173997, u'nsig': 5, u'Spectrum': u'Flat spectrum in photlam'})\n", + "F210M_none_none\n", + "({u'units': 'vegamag', u'sensitivity': 23.524163450241005, u'nsig': 5, u'Spectrum': u'Flat spectrum in photlam'}, {u'units': u'vegamag/arcsec^2', u'sensitivity': 19.938362717663495, u'nsig': 5, u'Spectrum': u'Flat spectrum in photlam'})\n", + "F356W_none_none\n", + "({u'units': 'vegamag', u'sensitivity': 23.73947671713732, u'nsig': 5, u'Spectrum': u'Flat spectrum in photlam'}, {u'units': u'vegamag/arcsec^2', u'sensitivity': 21.51400804251388, u'nsig': 5, u'Spectrum': u'Flat spectrum in photlam'})\n", + "F444W_none_none\n", + "({u'units': 'vegamag', u'sensitivity': 23.31045834017815, u'nsig': 5, u'Spectrum': u'Flat spectrum in photlam'}, {u'units': u'vegamag/arcsec^2', u'sensitivity': 21.248654309515825, u'nsig': 5, u'Spectrum': u'Flat spectrum in photlam'})\n" + ] + } + ], + "source": [ + "# Background Sensitivities\n", + "for k in filt_keys_direct:\n", + " print(k)\n", + " obs = obs_direct[k]\n", + " print(obs.sensitivity(nsig=5, units='vegamag'))" + ] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/NRC_GTO_DebrisDisks.ipynb b/notebooks/NRC_GTO_DebrisDisks.ipynb new file mode 100644 index 00000000..0a146e3b --- /dev/null +++ b/notebooks/NRC_GTO_DebrisDisks.ipynb @@ -0,0 +1,1382 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "\n", + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import S\n", + "from pynrc.obs_nircam import model_to_hdulist\n", + "pynrc.setup_logging('WARNING', verbose=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Observation Definitions\n", + "\n", + "Functions to create at optimize a series of observation objects stored as a dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def make_key(filter, pupil=None, mask=None):\n", + " \"\"\"Create identification key (string) based on filter, pupil, and mask\"\"\"\n", + " mask_key = 'none' if mask is None else mask\n", + " pupil_key = 'none' if pupil is None else pupil\n", + " key = '{}_{}_{}'.format(filter,mask_key,pupil_key)\n", + " return key" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def model_info(source, filt, dist):\n", + " \n", + " base_dir = '/Volumes/NIRData/Andras_models_v2/'\n", + " model_dir = base_dir + source + '/'\n", + " \n", + " # Match filters with model\n", + " filt_switch = {'F182M':'F210M', 'F210M':'F210M', 'F250M':'F250M',\n", + " 'F300M':'F300M', 'F335M':'F335M', 'F444W':'F444W'}\n", + " filt_model = filt_switch.get(filt, filt)\n", + " fname = source + '_' + filt_model +'sc.fits'\n", + "\n", + " bp = nrc_utils.read_filter(filt_model)\n", + " w0 = bp.avgwave() / 1e4\n", + "\n", + " # Model pixels are 4x oversampled\n", + " detscale = (nrc_utils.channel_select(bp))[0]\n", + " model_scale = detscale / 4.\n", + " \n", + " # File name, arcsec/pix, dist (pc), wavelength (um), flux units\n", + " args_model = (model_dir+fname, model_scale, dist, w0, 'Jy/pixel')\n", + "\n", + " return args_model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def obs_wfe(wfe_drift, filt_list, sp_sci, dist, sp_ref=None, disk_mod=True, fov_pix=None, verbose=False):\n", + " \"\"\"\n", + " For a given WFE drift and series of filters, create a list of \n", + " NIRCam observations. This function will calculate PSFs out to 320 pixels. \n", + " For the case of SW+MASK335R, we also assume that the subarray size matches \n", + " that of a simultaneous LW observation (320x320).\n", + " \"\"\"\n", + " if sp_ref is None:\n", + " sp_ref = sp_sci\n", + " \n", + " fov_pix_orig = fov_pix\n", + "\n", + " obs_dict = {}\n", + " for filt, mask, pupil in filt_list:\n", + " if verbose: print(filt, mask, pupil)\n", + "\n", + " # Disk Model\n", + " if disk_mod:\n", + " # Convert to photons/sec in specified filter\n", + " args_disk = model_info(sp_sci.name, filt, dist)\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt, pupil=pupil, mask=mask)\n", + " else:\n", + " hdu_disk = None\n", + " \n", + " # Create identification keys\n", + " key = make_key(filt, mask=mask, pupil=pupil)\n", + " \n", + " # Define the subarray readout size\n", + " # Set the PSF size and oversampling amount\n", + " fov_pix = subsize = 320 if fov_pix is None else fov_pix\n", + " oversample = 2\n", + "\n", + " # Initialize and store the observation\n", + " # A reference obseration is stored inside each parent obs_coronagraphy class.\n", + " obs_dict[key] = pynrc.obs_coronagraphy(sp_sci, sp_ref, dist, \n", + " disk_hdu=hdu_disk, wfe_drift=wfe_drift,\n", + " filter=filt, mask=mask, pupil=pupil, \n", + " oversample=oversample, fov_pix=fov_pix,\n", + " wind_mode='WINDOW', xpix=subsize, ypix=subsize,\n", + " verbose=verbose)\n", + " fov_pix = fov_pix_orig\n", + " \n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def obs_optimize(obs_dict, sp_opt=None, well_levels=None, tacq_max=1800, **kwargs):\n", + " \"\"\"\n", + " Perform ramp optimization on each science and reference observation\n", + " in a list of filter observations. Updates the detector MULTIACCUM\n", + " settings for each observation in the dictionary.\n", + " \n", + " snr_goal = 5\n", + " snr_frac = 0.02\n", + " tacq_max = 1400\n", + " tacq_frac = 0.01\n", + " nint_min = 15\n", + " ng_max = 10\n", + " \"\"\"\n", + "\n", + " # A very faint bg object on which to maximize S/N\n", + " # If sp_opt is not set, then default to a 20th magnitude flat source\n", + " if sp_opt is None:\n", + " bp_k = S.ObsBandpass('k')\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + "\n", + " \n", + " # Some observations may saturate, so define a list of maximum well level\n", + " # values that we will incrementally check until a ramp setting is found\n", + " # that meets the contraints.\n", + " if well_levels is None:\n", + " well_levels = [0.8, 1.5, 3.0, 5.0, 10.0, 20.0, 100.0, 150.0, 300.0, 500.0]\n", + " \n", + " filt_keys = obs_dict.keys()\n", + " filt_keys.sort()\n", + " print(['Pattern', 'NGRP', 'NINT', 't_int', 't_exp', 't_acq', 'SNR', 'Well', 'eff'])\n", + " for j, key in enumerate(filt_keys):\n", + " print('')\n", + " print(key)\n", + "\n", + " obs = obs_dict[key]\n", + " sp_sci, sp_ref = (obs.sp_sci, obs.sp_ref)\n", + " \n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + "\n", + " sci = obs\n", + " ref = sci.nrc_ref\n", + "\n", + " # Ramp optimization for both science and reference targets\n", + " for obs2, sp in zip([sci, ref], [sp_sci, sp_ref]):\n", + " i = nrow = 0\n", + " while nrow==0:\n", + " well_max = well_levels[i]\n", + " tbl = obs2.ramp_optimize(sp_opt, sp, well_frac_max=well_max, tacq_max=tacq_max, **kwargs)\n", + " nrow = len(tbl)\n", + " i+=1\n", + " \n", + " # Grab the highest ranked MULTIACCUM settings and update the detector readout\n", + " v1, v2, v3 = tbl['Pattern', 'NGRP', 'NINT'][0]\n", + " \n", + " vals = tbl[0].as_void()\n", + " strout = ', '.join(map(str, vals))\n", + " print(strout)\n", + "\n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + " if is_SW: v3 *= 2\n", + " \n", + " # Coronagraphic observations have two roll positions, so cut NINT by 2\n", + " if obs.mask is not None: v3 = int(v3/2) \n", + " obs2.update_detectors(read_mode=v1, ngroup=v2, nint=v3)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting contrasts and planet magnitudes\n", + "\n", + "Functions to plot simulated images and contrast curves" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def plot_contrasts(curves, wfe_list, ax=None, colors=None, return_ax=False):\n", + " \"\"\"Plot a series of contrast curves for corresponding WFE drifts.\"\"\"\n", + " if ax is None:\n", + " fig, ax = plt.subplots()\n", + " if colors is None:\n", + " lin_vals = np.linspace(0.2,0.7,len(wfe_list))\n", + " colors = plt.cm.Blues_r(lin_vals)[::-1]\n", + " for j, wfe_drift in enumerate(wfe_list):\n", + " rr, contrast, mag_sens = curves[j]\n", + " label=\"WFE Drift = {} nm\".format(wfe_list[j])\n", + " ax.plot(rr, mag_sens, label=label, color=colors[j], zorder=1, lw=2)\n", + " \n", + " if return_ax: return ax\n", + "\n", + "\n", + "def planet_mags(obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Determine series of exoplanet magnitudes for given observation.\"\"\"\n", + "\n", + " pmag = {}\n", + " for i,m in enumerate(mass_list):\n", + " flux_list = []\n", + " for j,av in enumerate(av_vals):\n", + " sp = obs.planet_spec(mass=m, age=age, Av=av, entropy=entropy, atmo='hy3s')\n", + " sp_obs = S.Observation(sp, obs.bandpass, binset=obs.bandpass.wave)\n", + " flux = sp_obs.effstim('vegamag')\n", + " flux_list.append(flux)\n", + " pmag[m] = tuple(flux_list)\n", + " \n", + " return pmag\n", + "\n", + " \n", + "def plot_planet_patches(ax, obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Plot exoplanet magnitudes in region corresponding to extinction values.\"\"\"\n", + " import matplotlib.patches as patches\n", + " \n", + " xlim = ax.get_xlim()\n", + " cols = plt.cm.tab10(np.linspace(0,1,10))\n", + " \n", + " dist = obs.distance\n", + " \n", + " pmag = planet_mags(obs, age, entropy, mass_list, av_vals)\n", + " for i,m in enumerate(mass_list):\n", + " pm_min, pm_max = pmag[m]\n", + " label = 'Mass = {} '.format(m) + '$M_{\\mathrm{Jup}}$'\n", + " rect = patches.Rectangle((xlim[0], pm_min), xlim[1], pm_max-pm_min, alpha=0.2,\n", + " color=cols[i], label=label, zorder=2)\n", + " ax.add_patch(rect)\n", + " ax.plot(xlim, [pm_min]*2, color=cols[i], lw=1, alpha=0.3)\n", + " ax.plot(xlim, [pm_max]*2, color=cols[i], lw=1, alpha=0.3)\n", + " \n", + "\n", + " entropy_switch = {13:'Hot', 8:'Cold'}\n", + " entropy_string = entropy_switch.get(entropy, lambda: \"Warm\")\n", + " ent_str = entropy_string + ' Start'\n", + " #ent_str = '{} Start'.format(entropy_string)\n", + "\n", + " av_str = '$A_V = [{:.0f},{:.0f}]$'.format(av_vals[0],av_vals[1])\n", + " age_str = 'Age = {:.0f} Myr; '.format(age)\n", + " dist_str = 'Dist = {:.1f} pc; '.format(dist) if dist is not None else ''\n", + " #dist_str=\"\"\n", + "\n", + " ax.set_title('{} -- {} ({}{}{})'.format(obs.filter,ent_str,age_str,dist_str,av_str))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from copy import deepcopy\n", + "\n", + "def plot_images(obs_dict, hdu_dict, filt_keys, wfe_drift, fov=10, save_fig=False):\n", + " nfilt = len(filt_keys)\n", + " ext_name = ['Model', 'Sim Image (linear scale)', 'Sim Image ($r^2$ scale)']\n", + " nim = len(ext_name)\n", + "\n", + " fig, axes = plt.subplots(nim, nfilt, figsize=(14,7.5))\n", + " axes = axes.transpose()\n", + " for j, k in enumerate(filt_keys):\n", + " obs = obs_dict[k]\n", + " hdu_mod = obs.disk_hdulist\n", + " hdu_sim = hdu_dict[k]\n", + "\n", + " # Make r^2 scaled version of data\n", + " hdu_sim_r2 = deepcopy(hdu_sim)\n", + " data = hdu_sim_r2[0].data\n", + " header = hdu_sim_r2[0].header\n", + " rho = nrc_utils.dist_image(data, pixscale=header['PIXELSCL'])\n", + " data *= rho**2\n", + "\n", + " # Max value for model\n", + " data_mod = hdu_mod[0].data\n", + " header_mod = hdu_mod[0].header\n", + " rho_mod = nrc_utils.dist_image(data_mod, pixscale=header_mod['PIXELSCL'])\n", + " data_mod_r2 = data_mod*rho_mod**2\n", + " vmax = np.max(data_mod)\n", + " vmax2 = np.max(data_mod_r2)\n", + " \n", + " # Scale value for data\n", + " mask_good = data_mod>(0.1*vmax)\n", + " scl1 = np.median(hdu_sim[0].data[mask_good] / data_mod[mask_good])\n", + " \n", + " # Scale value for r^2 version\n", + " mask_good = data_mod_r2>(0.1*vmax2)\n", + " scl2 = np.median(hdu_sim_r2[0].data[mask_good] / data_mod_r2[mask_good])\n", + "\n", + " vmax_vals = [vmax,vmax*scl1,vmax2*scl2]\n", + " hdus = [hdu_mod, hdu_sim, hdu_sim_r2]\n", + " for i, ax in enumerate(axes[j]):\n", + " hdulist = hdus[i]\n", + " data = hdulist[0].data\n", + " header = hdulist[0].header\n", + "\n", + " pixscale = header['PIXELSCL']\n", + " rho = nrc_utils.dist_image(data, pixscale=pixscale)\n", + "\n", + " rad = data.shape[0] * pixscale / 2\n", + " extent = [-rad, rad, -rad, rad]\n", + "\n", + " ax.imshow(data, vmin=0, vmax=0.9*vmax_vals[i], extent=extent)\n", + "\n", + " ax.set_aspect('equal')\n", + " if j > 0: ax.set_yticklabels([])\n", + " if i < nim-1: ax.set_xticklabels([])\n", + " if i==nim-1: ax.set_xlabel('Arcsec')\n", + " if j==0: ax.set_ylabel(ext_name[i])\n", + "\n", + " if i==0: ax.set_title(obs.filter)\n", + "\n", + " if fov>2*rad:\n", + " xlim = [-rad,rad]\n", + " ylim = [-rad,rad]\n", + " else:\n", + " xlim = [-fov/2,fov/2]\n", + " ylim = [-fov/2,fov/2]\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + " ax.tick_params(axis='both', color='white', which='both')\n", + " for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + " \n", + " texp = obs_dict[filt_keys[-1]].multiaccum_times['t_exp']\n", + " texp = round(2*texp/100)*100\n", + " exp_text = \"t_exp = {:.0f} sec\".format(texp)\n", + " wfe_text = \"WFE Drift = {} nm\".format(wfe_drift)\n", + " fig.suptitle('{} ({}; {})'.format(name_sci, exp_text, wfe_text), fontsize=16);\n", + " fig.tight_layout()\n", + "\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.9, bottom=0.07 , left=0.05, right=0.97)\n", + " \n", + " fname = \"{}_images.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Functions to init, optimize, and plot" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Generate initial observations for each filter(no WFE drift)\n", + "def do_init(disk_mod=True, verbose=True):\n", + " wfe_drift = 0\n", + " obs_dict = obs_wfe(wfe_drift, args_list, sp_sci, dist_sci, sp_ref=sp_ref, \n", + " disk_mod=disk_mod, verbose=verbose)\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Optimize observations\n", + "def do_opt(tacq_max, **kwargs):\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + " obs_optimize(obs_dict, sp_opt=sp_opt, tacq_max=tacq_max, **kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# For each filter setting, generate a series of contrast curves at different WFE values\n", + "def do_contrast(wfe_list, filt_keys, nsig=5):\n", + " contrast_all = {}\n", + " for i, key in enumerate(filt_keys):\n", + " print(key)\n", + " obs = obs_dict[key]\n", + "\n", + " filt, mask, pupil = args_list[i]\n", + " roll_angle = 0 if mask is None else 10\n", + "\n", + " # Stores tuple of (Radial Distances, Contrast, and Sensitivity) for each WFE drift\n", + " curves = []\n", + " for wfe_drift in wfe_list:\n", + " obs.wfe_drift = wfe_drift\n", + " result = obs.calc_contrast(roll_angle=roll_angle, nsig=nsig)\n", + " curves.append(result)\n", + "\n", + " contrast_all[key] = curves\n", + " return contrast_all" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_plot_contrast(curves, wfe_list, nsig, age, dist, xlim=[0,10], ylim=[24,8], save_fig=False):\n", + "\n", + " fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + " entropy_vals = [13,8]\n", + "\n", + " for j, ax in enumerate(axes):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " plot_contrasts(curves, wfe_list, ax=ax)\n", + " plot_planet_patches(ax, obs_dict[key], age=age, entropy=entropy_vals[j], dist=dist)\n", + "\n", + " import matplotlib.patches as mpatches\n", + " for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.set_xlim([0,10])\n", + " ax.set_ylim(ylim)\n", + " ax.legend(ncol=2)\n", + "\n", + " fig.tight_layout()\n", + " \n", + " t_exp = obs_dict[filt_keys[-1]].multiaccum_times['t_exp']\n", + " t_exp = round(2*t_exp/100)*100\n", + " fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + " #fig.subplots_adjust(top=0.85)\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n", + "\n", + " fname = \"{}_contrast.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)\n", + " \n", + "def do_plot_contrast(obs, curves, wfe_list, nsig, age, xlim=[0,10], ylim=[24,8], save_fig=False):\n", + "\n", + " fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + " entropy_vals = [13,8]\n", + "\n", + " for j, ax in enumerate(axes):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " plot_contrasts(curves, wfe_list, ax=ax)\n", + " plot_planet_patches(ax, obs, age=age, entropy=entropy_vals[j])\n", + "\n", + " for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " ax.legend(ncol=2)\n", + "\n", + " fig.tight_layout()\n", + " \n", + " t_exp = obs.multiaccum_times['t_exp']\n", + " t_exp = round(2*t_exp/100)*100\n", + " fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + " #fig.subplots_adjust(top=0.85)\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n", + "\n", + " fname = \"{}_contrast.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_gen_hdus(obs_dict, wfe_drift, **kwargs):\n", + " \n", + " hdulist_dict = {}\n", + " for key in filt_keys:\n", + " obs = obs_dict[key]\n", + " obs.wfe_drift = wfe_drift\n", + " hdulist = obs.gen_roll_image(PA1=0, PA2=10, **kwargs)\n", + " \n", + " hdulist_dict[key] = hdulist\n", + " \n", + " return hdulist_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define Source and their Reference Counterparts" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# source, dist, fov, age, sptype, kmag\n", + "args_sources = [('HD10647', 17.43, 14, 1000, 'F9V', 4.3),\n", + " ('HD107146', 27.50, 14, 150, 'G2V', 5.5),\n", + " ('HD181327', 51.80, 7, 12, 'F6V', 5.9),\n", + " ('HD61005', 34.50, 7, 100, 'G8V', 6.5),\n", + " ('HD32297', 113.0, 7, 30, 'A0V', 7.6)]\n", + "\n", + "ref_sources = [('iotHor', 'F8V', 4.1),\n", + " ('HD111398', 'G5V', 5.5),\n", + " ('HR7297', 'F7V', 5.1),\n", + " ('HD56161', 'G5IV', 4.9),\n", + " ('HD31411', 'A0V', 6.4)]" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# List of filters\n", + "args_list = [('F182M', 'MASK335R', 'CIRCLYOT'),\n", + " ('F210M', 'MASK335R', 'CIRCLYOT'),\n", + " ('F250M', 'MASK335R', 'CIRCLYOT'),\n", + " ('F300M', 'MASK335R', 'CIRCLYOT'),\n", + " ('F335M', 'MASK335R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK335R', 'CIRCLYOT')]\n", + "\n", + "filt_keys = []\n", + "for filt,mask,pupil in args_list:\n", + " filt_keys.append(make_key(filt, mask=mask, pupil=pupil)) " + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# K-Band Filter\n", + "bp_k = S.ObsBandpass('k')" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "outdir = '/Volumes/NIRData/Andras_obs_v3/'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## HD 10647" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "i=0\n", + "\n", + "name_sci, dist_sci, fov, age, spt_sci, kmag_sci = args_sources[i]\n", + "name_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "obs_dict = do_init(verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "obs = obs_dict[filt_keys[0]]" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [], + "source": [ + "# Optimize readout parameters\n", + "tacq = 4200\n", + "#do_opt(tacq, patterns='MEDIUM8', ng_min=8, ng_max=8, tacq_frac=0.1, well_levels=[2], even_nints=True)\n", + "for key in filt_keys:\n", + " obs = obs_dict[key]\n", + "\n", + " ng, nint_sci, nint_ref = (8,23,25)\n", + " if obs.bandpass.avgwave()/1e4 < 2.5: \n", + " nint_sci *= 2\n", + " nint_ref *= 2\n", + "\n", + " obs.update_detectors(read_mode='MEDIUM8', ngroup=ng, nint=nint_sci)\n", + " obs.nrc_ref.update_detectors(read_mode='MEDIUM8', ngroup=ng, nint=nint_ref)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "wfe_drift = 5\n", + "hdu_dict = do_gen_hdus(obs_dict, wfe_drift)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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Eac4YN6Y5Y9wMq7l9ZUS/+9WX2Pmm+Hy7dc7tsNc/k71+vt06J/jZz0EFzwpG\nfX3W3/T0d9m7ruo8AF5wxfnbPpdpzvrbqD/TnPU37v5Mc9bfuPsbVnOiqiO9qHFwzVe+r0cuvRqw\nWSSjmngW6b5n3Ivb3fXUbS2JYJozNmLUmvvylV/TflXBDaPMBVecz90ecGfTnDE2THPGuDHNGeNm\nkOam0hM97CySsX/ZrZlLY/8yas0ZhmEYhmEYk8meKyxmGIZhGIZhGIZhGDvFVHqiDcMw9jqHDh+s\n9Gi/+9WXcNGU1QYwRsdjzj6Tx5595rrthw4f3HbfpjmjCtOcMW5Mc8a42YrmJtaIFpFZ4HLgYlX9\nnd2+HsMwjHFy9IZjWN6WUeaiPg96F1xxPqecdnhbfZvmjCpMc8a4Mc0Z42YrmpvkcO4/Bj692xdh\nGIZhGIZhGIZhGAUTaUSLyJOBjwHf2O1rMQzDMAzDMAzDMIyCiQvnFpF7Aj+sqr8rIveuatM3n+E1\nl3DRqz/Qu3EKl/Aytsau5NCY5vY1O6k5wzAMwzAMYzKZuHWiReT3gARoAmcCdeDtqvryos2Xr/ya\nnvug5w/RmQPNe7dN2N9r7DwjW1fQNGcMySg0Z2uTGxsx6rXJTXPGRpjmjHFjmjPGzbCamzhPtKr+\nSfG7iMwAC7EBXYlURKUXhkzZqJGK/4MZOcZmMc0ZO4ytTW5sxKjXJjfNGRthmjPGjWnOGDfDam4i\nc6IBROQJwMOAB4vIL1U3cuuMGXGCOAFx/mfcrqJ9OFnvyzD6YZozDMMwDMMwjH3NxHmiC1T1bcDb\n+jaIDZbwPvYEisv9z4TOds2127bypMXx5jk0KjDNGYZhGIZhGMa+Z2KN6IGI9Hr8AJxA7vxPABIo\nGTDiSrmqREaO5t2+yjmt4Zxm1OxjTHOGYRiGYRiGYTCtRjT0evacICJo2dlXGDexYVMyViQygCq9\nhuXcVlUzbvYrpjljjMwfmuO8C88BrPiJUU1c/GT+0Ny2+zPNGRthmjPGjWnOGDfDam7iqnMPwzVf\nvVY/8+EvAHDZe45w+UWf9jtcZIjkuX+f53T+xrz0t1Z5/yrQ+LiqY6bwf7jXGXk1R9OcsQGj1tyX\nr/yanvvA543k2oy9z8hWITDNGUNimjPGjWnOGDeDNDeVnuilo8u8/Jn/gCSJ31D8jEmSjqEhIqgq\nkrhe42ZdFeX1XkMtG0FV4bdxPqsZNxPBjlRzNM0ZAxi15gzDMAzDMIzJZGKrc2+EiHjPX2xMFF5B\nV/qzwvs8aKPKAAAgAElEQVRKr3thoMQ/o1dReblTgbl8XPXFbfKvMaYB05xhGIZhGIZhGFPpiQZ6\njZbwu89RrTA08siDVxVeW+UdLPbF2zRHnKC5hp8VeaxmzOxdTHOGYRiGYRiGse+ZTiNa8EZKkoBz\nSOK8oZIkSJYBoOCNi5CjCvQaM7GxUs45jasmF8ZO1KbwDsZewo5xU2XYWLjt9GOaM8aMFT8xNsIK\n7hjjxjRnjBvTnDFuhtXcdBrRBEOl7AHUPCw7pEiS+FDaVsu3yzK/L8vWhcUWOag9obOFYRKtAzxU\nUah++atm1Ew5pjljvCwdXebl51y425dhTDA7UvvBNGcMwDRnjBvTnDFuhtXclBrRXaTwvsWFnlze\n9QAmCdpur/MIlos39RgzVWxQDGr9hZmXcK9imjMMwzAMwzCM/ctUGtHzh+b4zb95Gohw+Xs/w+Uf\nuLq7M4TWeg+gdo2H4C2EiurHgFZ4CwvWGTsVnsJym3Xr/8Z5sGbc7Dg7Ef5jmjMGMWrNGYZhGIZh\nGJPJVBrRS7cs8Ypnvc7npoqEPFXpGgpFQSYRtNiWa9cb2M+jV94e+ukp5kRkvFR5CqNiUL1dl/Jd\nO8eZcbMTjDz8xzRnbIAtcWUYhmEYhrE/mEojGiFaWqhkEKQpZL2Gia+gDGR9+lPtGhaFUSHSm6Ma\neQxjr+I642arOaydc5pRM5GY5owxc+jwwUpj/N2vvoSLXn3J9jrfqKK7aWJieczZZ/LYs89ct/3Q\n4YPb7ntHNWdMLVOluc2uVmFj3UQyVZqD4XVneptYtqK56TSiFR9C25OTGn7XHBIH7WAsFAWeIBgS\nJaumEPRGwi6H0wajpLJAVEzhJUySjleyWLKo7En07UuGlTEZmOaMMXP0hmOc+8Dnja7D+CY/aM1x\nAMrV400bk8JFfR70LrjifE457fC2+h655gqGecA0jU0sU6O5ODKs2NQv7anTgIrVMkyLu800a86/\nlco0PtPb5LIVzU2nER0QCTmnCeuXCEoSIENyUOeCbtvd/TDYg9dX1BXeP3EdQ2V9P72eRXHlfNak\na9zEx5hhM5GY5oypo2zADPOAaUXqjFExrIfGNGZsh5Ix0zO2xWNece9miPHOdGgMYpDmKt6b3vYe\n02tE5znabiNp+BNU/QwPdIWZJGjW6jmsMzuk+dYEWz4mCsGN81iL81QuYeQbdLb1rv0beQuL/qvO\na4wf05wxzYjzn3s8eVLooIhuKAItOrpJemfTrUidMSybinwIVE3agOnMGExkzHTGuDC2ScUkjmqx\nrzS2xeOdjXXGIIbUnEa66eit4vnNEz2vmd6mguk1ogFEUFVEc5Dwp8TViFWRxPl27TaSODSDTnjt\nqPNBo/DbOIR24FJG/ZYuqpqpsi/V7mOaM6aR4kZf4KT3Rr/uXh5PzkReG9OIsVkGRD5AKbx2UO0G\nMK0Z/YmjwuLxzbl1+pE8jGnxuJcX3sSSgWNjndGPQZormuTdsayjt3VaizzUprepYiqN6M5yQ85x\n2XuOcMXFnwtiy0NIbQLtdu9B0QOjOAmGzQiIRd4ZqPOOUePfloyaUo5rVajRui+VOGyWanh2bIkr\n05zRh53Q3HkXngPAZe+8slP5e1OIrJspF5HuTb6Y+CnaD/FwCeUZdMvv2i0mUnNQHebYdzm/WFel\ncEe/cX2/prFdY1I1V2hMkqCdJOmuphGWm+x4BeNxrzzmFeNd575oY91uM/Way/MevfUzpsHurZPC\nsJoTncIP5ctXfV2f+dA/8A+ESeLDa2uFVzAKqyiKO7XbXTG3Wmhk7GjZ8NkO8Q2+Tx5ix7DZKLxN\nKx4sSts75zIGcsEV53O3B9x5kyU7ezHNxe1McxsxEs1d+TXddvGTKiM6SbpaKYzpPEo1KB4qO+/7\na6GvTkwjY2diNAfVoY7Qu7JBH+1UFuMpteluM53tJhOhuaA1P64Fg8a5btpVEhUABTTLO2PchmPe\nMPdE0+BYmVjNJYl/D2H50+CMKBnSgDekN7i/aoUG/XvT27gZpLmp9ESjGuXy5WiW+Rt1LOA49LBW\nh7U1v+wQ9IaMjTJkIu6nbNREnkJx0vvFqDJuekLgKmapYk+hfal2HtOcaW7KKR4uEene7APqXO9N\nvm8nvSGOxQTNulBvyyU0BuQKajGelgzmvgZ06C80iraZzvY98X2vuCe7UOjTSTTR7Ce5JXH+nlwY\n0lG4rYR0re69vl9Bsj7eQtPg/qBCc5IkXnNJpA0VOsVmwR+TZT150j3jYBTO3b23DsibLq7F2DWm\n04gG7/ETB0kQWpYj4sBF+2Jx1mvQbPkZSufQLOuuPLRTuQdx6BD0DMCb8g5W5bDGx1nuxHgwzUW/\nm+amip7w/aQ7Uw7+c860Z2k2P3Ne8fn2qS7fW6jOqr4bvfQUd3IOKTwx0Xg50IAe7iTd301r+4ci\nEqx8X0tczwROZzzLQxoW9HoEY/ppsYjuMoN6f7MZzXVWc9FupGKxL2aoe6v2ntPur7vOxBnRInJn\n4I+BTwE/BPxAVV9cbqe5IgmhyFMQT5YBCaRJ0RdKJKwk8UJrtfy+JPHLEGWjSlbtQ9mwKa4/9g6W\nv4xlz2YnNLdPIQL7Iu04pjnT3DQysMicb4CIdjTZMaAHLcc2/MkjvdnEy76gX1Vu1/u79DNgYLD2\nhlku0Ng/xKtkQDcnFXqLPSWCak6nOEmsva1M4FTdH6uicWzM23tUaK5jODtBnPNtEkHV9dTL6Zmg\n3uQY1hP5tW6n3V93g4kzooGTgH9R1X8HEJEviMi7VbU3819zNAPRbriOJomvmqx5WGqoJNDEIepQ\naj6sJ8+jUNsxhKgWISCd3By6IW+DQm178siGHLiL8xmjwzTn+zDNjYVRFT/xkyc5PmSiRBw54Ry0\nWsVBQ3sGB62NuW7m3Dw1I2UiC+6U00p6ChxuYFgM81A5TBsbk3aMydRcjnf3BYqCTyLrNRcVzNTI\nO1g13q2bgByQBlXpnTZjeiRMnOYqlk3z233UYU+tkbC9G/2gQ99f+02Ad7fbkmw7xbCamzgjWlU/\nWdrkgKXqxn7g1Cz3wg0GilCukhyKTIT8VKENiUObrSD6HKSGtlvjM2qiv0E7Rop0H3jjEKE8Cnsr\neQsHLj9jjB7TnGluTCwdXebl51w42k7zTX5OQ3gEBy2p1lkjPT7G1iMfGZe966rOA+AFV5y/7f5G\nrjkN40otWb+vSB8o9LBRsaZ+D64bYR6akTKxmisM6bxrTKiqT18ptokDp1E+tK4vGBatTlHs64xv\n8QoXVYRjO+PeTtVC2WdMnObKnujyvpiy5oC+RcPiYxh8b+02LeVOW+TXSBhWcxNnRMeIyOOB96nq\nf8XbDx0+yAWXvyRuCMBFr72U977hY/6BP8shTXvCebQQcZL4m3ccWtsZ8EpVG3eCqrzVaMBeR7mi\naY9xUxq0Y/bZl+gxZ5/JY88+c932Q4cPbrtv05xproqd1NyoUdVO4RxBup9xEj7PHF9grEg10AG6\njKIbfNP1D5bFzd1yugzyPIQ8hok4EbTdRpLgSRmm2vG6h9NNGNWmsf1BySAW8RPZhErdoj7ZSpKk\nd5WMWH95kWoVjW+dWiYOyAbXF+nnmdYcXDJ4XDWmB81Bw/NQNHEDdD3RadKruTiNT/tEIm5wb92U\nd9oiv3aciTWiReQRwCOA88r7jt5wjHMf9Pxu26LSbLH0kHPdENsQ4qOqnTALzXPI1ecBJkkIsS3l\ne46DnjULu2Ef3fDLQPkBNTZqwjHF8d6w2Z+hRBe9+hIuevUl67ZfcMX5nHLa4W31bZozzVWxk5ob\nCaqAjzwQUdSFCfSi2EknXzABMhDpVpTfsN/4fdb7EFGaoKkyqKH8gGA3/D1FOcS2TOEhLCbmZJN5\n+FsxqvfR2LTf6NzDVMNEIZ2fHdIUoY0WVbzjYp/rxrQqjfSmRVUa1HFRqSTx9/0Eb3ARj3lmTO8J\nNNKcRmlTRWX4Wg2RNtoO9XGcdDVX2d/ge2t8z1ynveAc6UYL7s/nsnGyQZne3UFEHgv8FPCbwG1E\n5CHrGql2xNCZ3cky/yq8f+12p5y8FDNDSeK9hPUaNBpIveZFXktx9VrXOOqsc7nFELLNEP0tBENM\nQ5hRZ5a+Y6CViL5E6x5U4+qB4/g79jqmOY9pbu9QfF4i0XJtrvdzHJaypuJd5bDJzul7DW/Tzt7H\nL7UWonWKIlAbFb8bhs08HMa5ssb001MkLO8u11eMOYkLlZPDOJckSOK117OO+WbO02/Cp1NjQnp/\nhvFtneFjOpxaOve0OFS70EhYTrKz7FritqY532l80qoL8T+jVAT/NjqX6W1HmDhPtIjcH3gzcCXw\nIWAeuAD4REVjinzPIndAs9zPQAJSS4s+fbsk6QyiIgLttm+XanfdQNddQ3XHKyiXGegljMJwoesp\nLDyEIVS4KFpQuX6reXq2j2nONDcmRlVYDOgNPcuyEA2hfhrVCSKp13G97tvmYWJlK3LsGNLRDPqA\nHK/+3mnz1GzExBXcKegZI3NUBcnz7kSNOEhANEep+X25Br1to+BifJx5pneEydVcqPUR7sfdtJTI\nqAl1TCSv++iwLLxCFM5QOuhpE42REo1txRhWNqTDvbEI9baxbjgmUnNRlBeqSKvVSRvoOFvSBEiQ\ndoZoA1J/n/UTPO3Npb+VdAdxRATdSMKSId37bGZ6G5ZpLix2FbAwZOPo9xCyWCxBlGWoc0ii/uEw\ncd28rDTxA2cIxVUnSOJDbiXLoF5Hm00vwnwTg+soKVdVjgpBrWNdBVzGGyK8nzDNeUxzO87oCu5E\nBk1CN3/LSe8SME68tyaj442WhN7cwS2eu+8ETQU9RXmsIM9AJq7gTsyg4jsFxfJq4LWoITVkS7M3\nFeeH4Y1p09hQTLbmohSCXH2KAPjxr4iawvmw7lar66EGtL2FsSYu2tlTsDMYMcWEc0HZmHa5jXVD\nMPGayxUS6U5WQ28IdpqEicLcp/+1WlBLwzPfFj7zku567qvl4nclY3qd3or+jB72RGGxTRHnBOTO\n5/61Wt7rVw9ewjTxg1g766zrS+7DbhVwBxbQ1VW01UbS1HsX2+K9g5EHcizVlOOf4B9GyoN0xd/d\nyS8rDusp6mP5ESPFNGeamxYKg0aDV1DVe2pc4m/+aeq3OYcmuc/tyn3bzprR2/UODpqgKRUbs5nz\nPUIx0UjWqQXhI3PoGC89kTiR59pvGMHnPax32sanvUERQZOFfOUsAw2PukmCBu1J6nNUJVefhlUs\nO7TZCZwqD2Ee5UsX98iYqAiUdGoBFAWhbKybOsJ9lVa7GwWhqf8M6zVQRcWPc517b3htSXOwwX21\n9KwW/b4uCsKezbbFROZEbxqNcjihOzNU5FvlJQOhXvM/sxxt1KBeQ2Yaflua+ht6seavOCStbS5/\nYScoKkZG+avx+871xZVOS9dseasjxDRnmps24s8whM92SEKoY1EoL0l83n6SDPQab+786/O61mkK\nerSyTj+mnemjkw6idArrQO9n6kJ+dLLFfPyhr8UeEvcsRQhtdO/VLPf31ILU56aSJt47GMa6zpgH\n2xtjSjUhOvVFBq0JXM6Ptfvk9BBrrnNvVTqrsoigqUOTpKM5ajWodZ/5inbbuoYq3UXvq6h8NjM2\nzVR6oivzGUp5qn42MlSbLQ5M6j6k1vm8GZ2boZO3qgqNujeAGg1Y8ktTa7MFhBBD3eVBrRSe5v++\nUviQf9M9pq+HZ2+HdIwlh8Y0Z5qLGLXmdoTwQKdo8MJkPmIiC59J6nP4fbGnBFrNEP7tRrOmeV+v\nDetD0cq5Xp22lmc/NZTDDvM8pLrQ/ayLehES0glabWgCGiJyRv0Zb+SZjreZvqaP4ImWItIhzzoe\nQq35cU5riV+7XMRHha2uIVmGiJA3W4wmLz/OW1VEI6OlyjOdV+RKh+gh0+GEU2guc53UPpot/xzY\nrtAcoM0mojoazcF63Q3jlbZ767YRncJ/1Jev/Jqe+8Dnrd8RFbGRJOmEiUmaQlHwqV6Heg2thfUD\na9E8QrOFtNp+QBVB15o+ZyFUW9Zm07ebhP9ZaTkZ/6O0rXhIiX9GVM5WTcLfNmIuuOJ87vaAO2/L\nGjXNYZrbBKPQ3HXfukGP3nBs3fZ391lWayjEez3EiU8fmPHFTqTR8DPlIWJCshzWmj4futlC2210\nZaXrWRnlZ1YqPjZwDdZyRATsSf0MYtDa5KecdnjyNAdd3SUJUqxIUEvB+feAN7BbLT/Z2G5DqxUe\nLtl5Q2KQJ2if6auKqdJc+CwLT5/U68jcLFKrobMNqKXkc3U/idjOkeU1pNWG1TV0rUm+vOzvv6Oc\nwImfE/otiVVQGt961lHfR1qcds25+Tmo1bzjJE16Nbe0irQzWFndec3B1u+tYJpjsOam0hPdl6iI\njWYgJChemMWMj4ZZIMnVJ/bXQ75plof3NcQ5n8Oa5f4Gv7bmZ8ehm8OQj6DwyXbYKM+wHMZRqta3\nrqhFZ/ve8xDuKKY5v8k0N3KO3nCMyomb7RAVe9KgQZHSDdM5NHHe2HEObbe9V6deh1bbe1ZGUfhp\n3bWVCqKU3wd68qX3oX52cm3yHdFcjOZ+PAO/koETH+lQPHyqouKLLWqSIDUND5c7d0n+unojbnqw\nYk/Tq7lcvb7aoRIyDe8JbOdoLfGp0o26TyVYa/oJxTQNK2dsMVe1ivg5oewhLOdMO1kf/r0PC49N\nu+a03e6u0gLQztGag9TBbB1aGdJs+dS+digsuxOag03dW3siBsE0x2DN7S0jGtYbNRryTeLlNeIc\ngrwItUjBgay1yQ/MIqst/+DYzkJ15RYsLvkbewJksr2qtaOibNiEKn1QMmz65Dz0hNoaW8M0Z5qb\nJgqdiusYNDRbSJ4jSYJKmOyppT4MstDk4qL/zJuEh8wR3uw75P2X7Yh/dtIEkkhHFvY4sajSsxyM\naneScGbG/0x93qAURRjzHBaXOg+COxLaXXWdg0K8TV+TT5GnmmUgCm1BWomfzG6GSIfaHOQ5eT1F\nagnSSnBp4sc7zZFmCxUhbzK6KIhB4baVS2L55SNtOawpoEpz7TYqfnJG8xzqKZIreSOFWoJrtnHO\np69I3nW47IzmYNh7a7Fdc9dzrOmtmr2ZTR4n2RcCyTI/09Nuo7Ex02qHnNVwSC0NBXacD20MeTVS\nqyEL891TFJVtoftzEogL9PTbXpXHWt5e5KgZw2GaG7zdNDdxaJZ5PYI3iMNEj8SFeGppKIaSQq3u\nQyM7VZWT0X9ewxZIiXTUm1Jg+ploiiJLed47JhbGa5HuElJipO41N9bCcvGEZxkbo6aPkBpFlkOR\nHpDnSDsHAQ35qpo6X/BpZgZmZ7wGi6Jfo/zMC33FBTvj4nvx5HIUfrsuFNd0OLlkmS9ol2fQzryR\nXGguRIPl9TTkSadIo96juWK1gpEy6N4a31+rUvXA9NaHveeJLigLRqVbNbnd9uG2jUYoN5+jjRRy\nyOdquNUWWgvFTtoJesIMsrgCzSZubs4PfKEYgKSpfxgt2K3Qh3KxlJ6woQF5ENHsU0+YbdxXuX+j\nGtOcaW4aiLxt2m73/J8lSXwl+Sz3OdKJIFL3xVJEYM3n6Dvn0FZ7a2urDnN9wIYFUtatf2memomm\nKMQYxi5xGbRCukuaQp506kYUa5eLCLq6igO06XP0O2PfOLzS/iLW79tHIY5TSxz9EOqM4EJqlRNf\n1DOEdeci6Fwd8A/FsrTi+3D+2C2v57vh9UHXQ6jd+2Yc4h1tW+8lNA/hRFGlOfAGdKg5IrmSp/7z\ny+Z9nnQigqyueW0miR/rdqL+SN976+CinnZv7c/eNaID3SVd2n6GOwhbaqkvNR8q0kk7R1OHW/Mh\nZvlcHbfcRA/MIq2M/MQFH+7TbPnBNElwzq/v6xpp9+bek4ewS0KLwouh4iG0oN9yRMRfGthvuTjb\nxTRnmhsFlRXhR0W42Rchg0WEhLqWN2BC8Tutp766aO6NalwD2m1ffTTP0awwZHciRzrSVEgZqFxu\nK+Rvrcvn2gf6GcsqBKMkeGE0GDQQHhol79SN0Jka6rzmJE2Q2dngSQxjXbFCwI4nSsfXbIZ0wVRp\nrhjnckXJfBFPEWQt9T9na6j6EFvXypEshHin87jCc51lPizX7VA6VSlfumtIB23FxnReMdbtA8Nm\nWjWHhBoQrZbPuQeknSKJI2skXmMZ6EwKqcO1M6+xLENcO6S/7PC9Fbq6G7BUqd1bqxl5dW4RebCq\nXjbSTktc85Xv65FLrwaG+AIUM9ppzc9CBmME55CZGV/EKVQH1dkG+XyjG27jigdEhUxxiys+p6bw\nLC4to5kXvaQp2myFEMldLgAVU6rQtz5Eo+QFjMI6enJWp6xaX/wFuO8Z9+J2dz11W7EoprlNYJob\nieb6VoQfJXHV5FrqtVmrIwtz6EwdbdTIZ1IkU2jnSMs/iMqxRbSdocvLfjKn2dzZz2jYCt79wsCn\nQD/bZUdXIRglUYX4TvXkNEXmZv0qBjN1H+aY4ydr2hnSztDjiz6CZ20tREGMYMm1rVx7FftAX1VM\nhebKKxLUfeis1OvkhxbQmZRsvkbWSJBMcWsZrp3jVlq4m45377vNpq8Wv5P32n5VvAdU8N5vY93U\naq7RQGYaXnOzNbK5lPZsCqqkqxlkSrrYxN18HMJ4N1bNwfrntXIxMuzeWmbLnmgR+YeqzcDpwAO2\n2u8wLB1d5uXnXDhc4yKErN0KM97OV0LOQz5KsZabCMzUkWabbK6OJkKy0qJ9oEF6fM1X1KvX0HqN\nvJ6SfP9G5MRD6I034RoN8rW1Tq6gTtK6fv1m0Tv7S1X61hXuYX21vingsndd1TF0L7ji/G33Z5rb\nBKa5kWhuLBThZxmd/7XkiobJH617jw2i5AfrSCtH8joJIM0WUq+hq6voSkK+ujb68LOe64Q4DG1d\nCBoMDkOblO/HfifWXFFQJ8/9hKNzwYMj4JR8dgZp+poSTsR7BtMUaTXRVecfMMc59vUL8d7tSCCj\nP7HeAM1ynx7QbuOckLt5pJFCA1SgdbCGa+a42ZSaCLLS9CsVrDXh+KKfxNmp1TLiEO84mqsoCNUn\nxHu/eQknnrLmVHFO0DzDJY6cOaSedD6n1ryfqM5mEhqANNuIc0i7DceOk6+s+o52UnNRcdzK4mNR\nxBfYvbVgO+HcOfBPFdufvI0+d4aicl6ufsAJFWfz44u42Rm/3Ea9FsrLK261DQ4/Gy6QLdQhU7LG\nLIiQrLbJTzkJd2wZd+IJ/pia9wpKDXQp89MJk+IdjMOFoi8IRB6dPiXviza9uatRIZh9/OUZiGnO\nNDcthBBbCGG2SeKXY1NFVpokqmjDR07k9QTXzHzI7UwNd2wZCaHgkoQc6R2/1nL+fUUIWtUEjBk6\nk0Ocl5/lXeNZ1Rsrqr6oHaD1FGllvsBdmiDgq8O32j7kcTeGPAvxnko0VLvWLPP1H9oZ0s5Jlvzy\nQnkjIZsRspkEmrmPwqklOPzkotTrPtw2b+/sZ12EBJfTWHKtWA6rlCtthvREobkiov4ZUIpq3Dlu\nuUUqkDcSmnN+eT/XVLL5OlJPSLIcWWsiMw1f6bs1Bs31jbTp/6wG7Ot763aM6PNUdbG8UURGnEQ1\nInpyTsISL0WV2bU1v1bb0eNwYB5RJT9h3ntgirFMIa85RJVsJiVtZWQnLOCWVv1N3yVIquTLy7j5\nOXRlpfsMNwkDWmm2yf/uOkbeOtblRERhQ3EeziT8bZOKaS66FtPcRJNnoRCeQ1fXOptlbsZXjU8S\npJX7ELS5OmkjQdpKUktwyw0kTf1Me6u28ykGgwqPlQzpdR5pe8CcHApDQcWnA4D3Rtfr3judOF8b\nYiYla9Rx9QTJclwthbUmLuiyU3Bsp7yDg67flsOaDspFvJrBEw0+3Wq2QQJoIqQrGa2FhObBhKw+\nQ7KakTQSkpUGSeK87lZWxzPO+bUIw/iVeWO6ajmsaAy0IlATQoXmOoXGRHCzDd8sdaTLXnOtQ46s\n4d8nczWS5RYp4ES85oooiDFGfAG9+dKBdR7pfXpv3bIRXRjQInI/4DXAdcAbgUXgHSO5up1AQzEd\nzb3XpOmQ2Rl0dRVZmEeyHJ1thHAKwa1B+0ANyRTJlPaMr1jbWkhJ1nLSRkJyPIX5WeToIq5eg2bL\nh/CmoTjPJKztG9OvYE9FmfuYdaG2/s2+/OJsCtOcaW4L7HiRpwo6HpqQekCzBTOhonxEXnPks+Kj\nJ5yQNFtIPg/LK96bmDjytTGFeQ2aJa+qBL+H9DNVBXf60BkL8lAAqp316E2deEMicWRzNVIRJBGk\n5SvLixNYBVTR5phDCwd5b/aIxspMteaiiRtIvFGTZX5d6Nm6T2WRoDkFTWD1VjUaRx0kgluZ6S4B\nOM5xrue+mfsaKwO80j21RfaADqdacxCMXvET1ZHmJG/g1jKymQRRcG1FHayelNI45g1utzDnC5CB\nPw7I19b6n2sk19snfQpKz2F7N51gWM2Nojr3rwKPB35JVd8gIi9jEo3o+KZcPCgC5Dn54pJP/F9a\n9kZILUXUIbnSOsHnx7QWUpLVjNpim+OnzTBzk7/RtxZqZDMptVtWYW4GWVz2M+iJg6SGJAl5KL6D\nS3ZuBmlYyueOBmcIRkv8QOok5KhFX5zSsXvpizNSTHPhjzfNbYVN5eGPgjiPqxnepz6vX1pttHaA\npJWT1x3NAwl5TWjPOVy7RqOekN6yiszNIDfd4nNds1ADoKiqvCPXW1B4YLL1eoJqr/Qe8NTsau2H\nUVDKHWRlxacTJA5pZ+AWcK2ErOZoHayhiZDNzCLtnHqjhltcRVabcMsxRHPy4KXZMc31/RvYN+Hd\ne0Fz3oOs5ICoIvUaLkl82oCbJ685WguO1RMSNIH2TEq6ltCYSajf3CBZmkduvDmsVDCucS4yaAhf\nmD5eaT/WJV2v5ZTrcKo1V9TIKTSXq9dco47Ua6StjLyRoALZoYTmAUEF8jQlWUhoNByN2Rpued6H\ng48I3f8AACAASURBVOfZzmuudO0bpU9V5kkXx08pw2puFEb0V1X1WyJSPOn+YAR97izFIKrqKxy3\n2t7AyXJI8WsEpgnM1Wlcv4wmgmtmLN1uhtaBFMlg9cSExi0+TyZLHXrSLPXQt6ylyMwM2vJVlaXd\nhiQJOQ0hLHW3xbVRqG3xBSlmO6OwWknoeFfXzXjGfRtdTHOmuWkgMmokcaiqnzlvgqy1SFsZ7dmU\nvCZIcOi0Zh3uUA3XzHCAW5hHl5Z9zn+WhQe5HQ6zXZdDWL1Uh98ke85TM9UUD5lFTjT4PGna0Grj\nFnOyxrxfs7xwyMwktLROvZVBliML8+jyMlJLOw+rY0+Wtjzp6aGoAxGW6iNXn6sKJGsZkivtuRk0\noaO55rwgeUq6miGtHHdwAY4tjm+cKxk0lcv9FfQs+7c/Jp0nms6zD/6zyHM/bjVbkOUkyy0fdTjn\nAPGpfClkdUHyhKRZI1XFHVpAFv04Rx4mVXY66nBQtA10nRrsz3vrKIzo00XkF4FTReRxwF1G0OdA\nRhaKIULebHUWN0fELz20uIjMz5PctEg+NwM1v0B6/XiOOlDnyGvC8ikp6iBpKsmao3VwgdlrU9QJ\n6Q3H/eLqxxdxJ55A+/vX+VMmCZCgreaI/hvbJP6ClEOGYqMGeg2bQGeQLo6HifjiTGz4j2nONDfp\ndAzpHLI1n6dfS3GLNbSWki41yBpCngqrJzpcG5YPp7Tm56ktZTR+UEfah0iuuRFtZ7jl5Z2tLlq6\nbqB61rxn5jxnv+dyTRTFZ5dl3ggG75FOU0gTkpU6ed1HPzQP+WVh2rMp7bkFkpVZ6jevIu0DuOtu\nQrMcXVra2WrxA/+OQM/SMTbZN3GEOhC02538aNIUV0uRWkp9LiWv1cjqwtoJPrw7mxFaczPUlurM\nXV/H3WqB9JqbIK6ivJOaK+fZSpEKUYrkgp486e7k8/R7CKeaKs3VaySNGm4tpT6bkNWF9qzQnvce\n6fZcQnPB0ThWY+ZAnfT4PMkPZmBllfzY8Z3NkS6I8/NDodieujalFVb20711FEb084E/B+4NHAae\nPYI+BzLqUAzNQgigKrq4hMw0wjq8iZ8pAvJDMz7EouZniVqzfqBqz/ifknvDJq8laCrgHPnCnJ8x\nWlkjWZjvFE9RVR9mm2eTIbBBRg0MDrWlIt8Qdv3vmvTwH9OcaW6iUfXr8IrzS6k1QyG7Rp3aTQno\nLK1DNWrLwtoh/4CZJ0JrNmXtYEL9eE6jdgrp0RXczX6NdLKMfGXFTyDt1Oz5ZoqOheiGHk9NTx/G\nWCmidcDXeHBt3FIC9RruaEJNhPaBOulKztpBhzohayhu3tE8IaW2mNOoJbilNVziOuPBjmtuM5jG\nJgvVMJnt0JBK4BKHzDSo/8DXIlk7ISVdhuZB8aHds0JrPmHt4AyN48pc6vz6vs7tyjjXY0yX75sA\n+PxpKzo2IUSay5eXkWaKE0FmZ6jXU/JEEE3Ia/5Zrz0H7Xkhm3GsHWxQX6ozN1sjWW6SpCncfEtn\nnCOEe+/ktZdXXalaV7rn3grsZb1t24hW1e8BTyrei8g9ge9vt98dp/SwhdR8iG2xbBCgiz7fRdpe\nlHVVstmUrO6op8LqCcLcjTnHb+/QY9CaTWgecLgWJCtz5KmjdkMbainc7hT47rVos4kkCW52huyW\noz58rVbffS9hOdQ2fBk2DLUN9CxJNEVr+44V01wvprmB7EaRp0pyhcTPnpM4Xxm5WSdZTag7QZ2j\nNS/kdWgdFGrHIa8luHYdrTtqqn4ZrJVVv0RMMMjHdbMvF0IpM80z5xMbcbNdimKMWQZ5iqy1kNU2\nrpaQ1BzpqnjNJULzANQW/e+Sz5A2UtIipaXZ8pprtX0azTgN6Y3CIKeUvaq5Yqk1bbeRdopbWiVd\nqqGpkNeCh3DBt129FTRuERBwrQb1RkKj5YtF0Wri8txPPo5Rc537ZjlPukAqio5NCXtVc0CYPPSh\n3e6WJWpzKXldyGoJeeqdJZLB6klC/bg/xJ1cp3Gz4FbmkVare28dxzhXcoBoHnml162wUnpG24P3\n1i0b0SLygj67HgacudV+x074QLXdCu9zL8Is86FkcwIrq+ihebTmfFFHB+2GkDWExdsJMzcqS7cV\nZm5SVhYctSXl5rvPU1/MaS/USNYy6t87htzmMK7ZQo8tomtrJCeeSHb0mDdmdvqhcljiGc68ZNTk\nkVET05N/E3sM9+7s07YwzfVimqtk7AV3yoQQLtUcqKHLy7iQ159mOW55Fjk8h7qU9mxCa0FIVqF5\nyP/MGin1YwkzNUejUUMWV0gWl8mXlqHVIm8y5tBHV+mR9j8iz/UU3ewnPeJm0xRjY1GFdmXV5+Tn\nGU41ROks+DDHWaF50OGaytqJQrIG7dka9eMJM3VHrZHiFldxS8vo4lJY33cMoY8Vf886Y3qKPdJ7\nU3N5d437xSVfMEyV2vWQrM5CPovksNxwrJ2ouKawclhJV4T2XELjZkdWP8jMTIo7voo7vgSLS37C\ncMxLEnUMmtz1FhwL2/w62fQcN+k63LOaazZDpfXcr4IB1K5PSJZnkHwWyZ0v5HnQH7Z6stI8JLTn\nE9YOOubmE2YaNVyzTfKDW9DlFT9mhufJnb+3Qvzc1nN/3Sf31u14ou8NvBN4KHA98HXgTvilrraF\niJwJ/FzoV1X1Rdvtc0Oi2RVtt33lZCfo8eOQpiRHl3DLa6SNlNXbHmDu+haSp7TmhdYBobbob+qS\nw8qtBdcCcCA+X/DExVlkzRtNsjDv+15dIzm4QHb02GQYM2UGeQcLyvk3Cd2QvIIp+dKMHdPcekxz\nE4m2W0ha81ENTvwNv9nCrWW4dkKyFgqhHALXguZBSEOot7oaAPVESHLFpSm6uIhzzuet7nTRu/h7\n1k9TMVM4a74X8SsahLGxlUA9Q1ptXDvHtTWMd9A6IEgbmgeEmlOaBxMQUDdP3Tm/FnCthh47joaa\nFFZ0zOghrqDsxC/tl6wi9ZqPgMiUpOk1J7nQOqC4JrQOqH+/4AtAwRwzIjgN49zx42jSCvn5u1B0\nrLwMVqBTTXkCHwH2DaWCirTasLoKsw1kpYVrNkhXfaqU5NCeUySD1oIibaE9JyStBJV5Zq9bwTXn\nfcXvIlx8N4orQt+IL2BP3lu3Y0Sfp6rfFZHDqvrnxUYR+YPtXJCIzAF/B9xLVddE5G0i8khV/cB2\n+h0K1U6oi66u4cIHLYAeOw4nHiJbaFC/ZY0sVKh1bUhXlMUfElwG6TKsnJJTW/Rhja0DCbXjytLt\n50iXc9KlNslKi+Q6kNlZn4cjzheECjPuE+EhXBd6XFH8KQ6xjX63Rdg3gWmu53/hMc1NFJF3EM3R\nFfUFUWp10sThWjkwQ56kZA1YPdnnqmoirJ6akdcT1g7VqS3XOfAdvy5m7doastaEW46ia2veS7iT\nn9e6omPRknMw9bPme45Cc7lC3ibPg+aaTVziqLdmAcjTGllDWLm1kNdAU2H15JyskdA4wZGeWmPh\nuzMkyy3SWoqsrsGx42iz5SOBxl10rJ8hXew3do/CO9hqd6t2i+BW12gkQrLcQPIG6hLSurB6ayVr\n+M+sdbhFntZZO8GxeNuUQ99skKy0qX0/1Dg5dhxtNtGdXN93UNGxCo80hAloKzi2e5Q1p4qI4GZm\nmEmE9EAD0QaLpyaky8LqyUpeU1qHoL3gx7naMcfSbRY4+M06tcUWqXPQbJHffAuaZZ26OOO7t+4t\nj/RGbNmIVtXvhl8fKCKpqrZFpA78921e00OAb6lqMdp8DHgssPNGtEi38JI4tNnyg05LEHHIapP0\n+mPkB+ZgNqVxLKc571AHjZt9mMXx05S57zvyGjRPgNa8Up8VNHHMZoq0HZKncOtD/P/svWmQZWla\n3/d7l7PdPbeqyuraep3paWamTc8+MAwaGNCAZIwsOTBy2KFgjGTsCMwHgyVZhC1bRlJIGDlGwTBI\nhEDGyGAHYhkQMyzDALMwW09P093V1V1V3V1rVmbe/Z71ff3hPffmzays6urKpbKq7v/LzbyZefKc\nc//ned9n+z9ymCLyHBkGCN/1x9o8xyYJMgwxcbznl3xbGEeapp2ZMaSAG/li98hDs6uYce7WMOPc\nncc4y0Hheq+ERIwSpJR4XY1XUwgjEIXL1iQLBpEIkjmL0YJsCCr1CdZz5KiK7AlEWnF6AOMe/b0M\n5mx1YqbGrG2LezBqftdhai68zXOEFG4utJSoyMMbamQBaSywEtKmy9KkLcc5lQj0yMP3pcvUaIXI\nMsc57e1/W8s92id9T2EsiFQYSJwAlBjEKCnRA43fkRQh5DWBlZZsroBcks4ZrBaokcDve/hdiRzV\nkP0RIkmwceLsXCnYuB92zhrrRJ62ZqS3aozco7oidwXGjrRxonRjzsneaMK5cF2QNASq6uxcXjNY\nbUlbhiJwlRB+36MIFVFSIIcJIs2w7c7+2Llb0SCZfF3cU2vrbqhz/xbwqhDiCnAIp9a9ExwCelPf\nd8v3JmguNbatUf/tT3yaT37i0zv89xsYlzAyjuYMBULVUJdXgQUAvL6kv+xhpesDjFacLH1WtSAg\nb+UYT5PMw+ABTfMliR5p9MjDygreYg3/TKnD5hXY9XWE1pgkOZDZwUmp0PgB2S4zuF3kyX2xpw/N\nRz76HXzPR69vx28uNXZ87Bnn9hEzzk2OsR+ce0MwBRblyh3LzLRIUrwsJ/JbWCUw2iNrCIpQkLdy\nkGCWDElPkyxIvK5P45zGG1apngtRSmLjGBs7UR9rxd5tMm8UNXdfTF4PctT8vuLcpC9fuHLHcjaq\nyHO0MQSBU1AufJ/EOM2ItGUolCVdsKiBJG0qvJ6i/qpGJzWqZ3xUEGCHI+yo5BxlVcJ+2L67MCN9\n33Buq/pwmoIxbn50XhClOcZvYrSg8BVYidVgWxk2LEgXLLavSZsKv+PROF9HxzVqpzc4Z4ZDt76j\n2Nte6dKGFVyfkYZy7dwypeAAZaTvG86NYU0ZnBZYY0AKVLHBOT0SWKWIpaCIAM9gD2dkuSRNJXld\nE6xqqs063qhG7bRG+V7JObdPsnYPP98tLQWwJSNdYlPV4D2wtgq7CycvhJgHHgZestau7fBYHwL+\nrrX2Q+X3PwYcs9b+2Ph3Tn/pJfsj7/qJnfybWzkR96KU21SVYw/QGlGtYMMAG2iKWkDvVEThu96F\n4RFBEUCyVCAygcwFRltUIjCeyxjqgbvn1SuGPBTMfXkFMYyd+q0Q2CzDjmJX6pvlGyrKd5Jsm2Ze\njh8QsfH9NurJwKbo5nV9q/t0LR/74k/x2Dse3lH4f8a5O4AZ5/aec7eLsnJCeBqhFKJahcUWNvAY\nPVAlq0g6DyuSOUuxnFBvjLBAHHsEQc7o5QbBNUnlimXuuSHCWvSldScAlWZOeCxJ9vbzEhtc2jSm\no3xvzKOJmu1ebkB2AfcV54RwOg/zLazvER+rk9Uk3ROKZMGSLuZ4jRSlDcnIQ2oDFyKiFUF01dJ6\nYYgoDHqli+0PIUmwabr3nNt6PTfCAeXYVtzznJPKVT9o7cZf1WuYQ3PYwKN/okJal/ROCJKlArmQ\n0KiNCLycdr+CUobRuTrRVUl0xTL3fMm5qx3sYISN4/23c+MWlq32rhQ/m8wchgPLwfuWc75mcKLK\naF4yOCrIGgZ5bEgQ5MxVRrRHIXHskV+LCC8pahcsrdND5ChHXetgh0PIckxp6/Z9bZ12pu+htXXH\nmWghRBX4MeDtwNeEED9lrR3s4JCfA04KIYKypPv9wL/c6XneFqx1vXrS9Y6KwiBbTewwdsZIOiem\nfm7E8GhIWpN4A1w541VFsmDI5zNUVJC3fWxQ0FuwRGcCvAHEc5KwbTCNCBF6WE+5cts4xSbp5CFy\n51LO0p0aS7SvIzu2GUfk+lWnBCzG2Oa9TQrKs7KhG2PGuU33wv3TGecOJKwpx1+5r8UogSzH6wdg\nXdmjTAX9moepxxxtdKnOJzx7aRl7KGFY04BHVq3SOpMhh1XX99ofYNLUlaGNFexh9xfYG4nxjK9t\nhoOHCecEFI5zIi/weuEG53KnmGzrgmZ1RHN+nbMr82SLKf2awgpNVqnSejlDJjkSXIamFHec9BDC\n3m7qbqTcPX7vgG4o7yuMM9JKOZ2SwiD7MTY3+B0fYTVpWyEzxTD0sNWYpcqAR1srPHP1KPHhhEFV\ng/XIx3YuzpDWuqqeotiwcxN7tEd2rryeSVvUdlnp8SzpA5YhvK8wzuSOtXHyHDFMwIDfzjFKk1cU\nMpOMFj3q1ZhjtTZvmx/y9bWjXBEw8gOE8bCiQuN8ikwyhJKuvFsIRBDsbevedmvrdHn31ukqdzF2\no5z7nwNngF8AHgV+Gvivb/dg1tqhEOLvAP9CCLECfH1fRMWuP5Gpr8sSMi/AdLvIIIBaBdEf4cUp\nplHBb2u8vmS0oJBVwSgSmKiAVGK0xXoG4RtsJhk9khAPNLorSa4pkkYdgLBdUD1nsZ5CDJ1wCnmO\njEJXAgR3vtx2S+/DRPgJNh6Qrb02MFUyZDf3Q4yPOcOMczfCjHMHD2Nl0TwrN5oFMs8hCPAuCnQl\nwKo6WUWSzEkG1HklV/xHR1/j7Q9c4G2NCzzfP8LXDy8zfK5FvKRpnpmjcqVG9EoHVam4rHSSbBZH\n2YvrADaP6djs1Bzk8rP7Cps4p7D9gRu5FgR4gKqFWFUnjyRpXZGIkDVhOXK0x5uXr3Ks0ubisMn5\no3P0XmwxOqKpvtai/mqNyishIkkR6x1s7AKFe8a5G1zXdZjZqjuPMecyNx7N5l2kKRBJSGgtficE\nKmSRIK9p2raOlIZTy6u848irHA66XIhbfOOBZdafW2C05FF7ZY76azWic203fnK9jU11qU+Sve4p\n3fZ1TGxccfPy7pkjfWcxbmFJTcm53Km9ex5B4QKGMq+Q1iRF5LNOndf8jIcOX+PJhdeQi5aLoyZn\njy6wen6O/omA6IpP6+WM8LyPjBNst48YizfuVVb6Vhxp2OAbcJDaCW4Vu+FEv2yt/afjb4QQf2+n\nB7TWfgr41E6Ps2uw1mUGsxzhaUe6dhekQNRriGFCcNVSVAOs8BFGkbYE4QWPZLGAvoZKgdQG6ecY\nIzHSknkKEyislAgDg2WNlXXSmmThyxasRQqBbdTg/GsbPYilCM++ZQS3ux9jpwY2PyBwXQ/EdFZn\n28jTzFBfjxnnrr8fM84dLEyN6BAUTqwJEH0JWuG3M8AjWtFk85DGGoPgUNBHYjkRrbF4vM9vDb8J\nA3SLCmndR+YN1KiC94p1/FPuOdjzcR1TQRq43pku35xlqe8kpkYRTcZfAWiF0Aq/4zgXrCuypiCL\nNYPcp+7FRDLlRHWNU7VVfi97M0JYerpBXvEQpo4eFvils4R0Ij/7WnVzo/Luma26s7BOa8QWBcIK\n125iLEIrpJT4bR/QBGuSrCkZxgHtLKKmU+oq5uHKCieOr/H/pk9ijKBPg7ziI/MmapjjpRmY/oTX\ne2bnpvqkGfdjb3WkYaIJMXOk7zwmnItdlZeoREjA7/oYz8PvSNKe5lqtysu1RVr+iGP+OnN6yNGo\nw2eKRzAPCAbPtgCP+azhpmPkBbJwlRB7audez5Eucd0e7S7i3G440ceEEMpaWwghNHBsF4558GAK\nbJlxwRqEtW6u71obUa8BIEIPr+/IOFqUGAXBmkImMDxl8OoFoe8ijU8sXebpK0dJ1poMThYEqwqR\nQ+dBhd+1DE81MFpQfUkiV9uopUXsYIgdjbDWOiXlNLtzGcItJUKbyiFvpMo3vfmcfu8ueVj2HTPO\nbcZ9xrlqs8KPfvyHAfj8b36Jz//Wl+/wGW2DKeEnGyeINEUaC6MRXmHw1jTQJI80VkZ8IXmINz10\niSW/RzePOBld42fe9Su8nBzm/1t6knOvLhEvBoTXAmpHQurPrTl1W99zXMzzjQV/NxfabcarbcVk\noRcHR4DnPd/7FO/5K+8AHF92iruGc7gNpo0ThEydbRwM0dai1xTCtChCD7sScCY9wuHj6xyNumhZ\ncCJY458/+au8lB7iN1pv5+zKPBcOVwnWfGrHHqB5uoda62P7w1LwLtnU0rKn13UXONL3JefKNc9a\ngR0MEUohrYFun8Ba/GsSmTUoAo29XOdP44d59IGrHPa7eKLgwWCFjz/5SzybHOPftd7B+avzJAsV\nvG5AczmkdqaDXOshwpHj23js325jKgg1EVAcZwGnnelpR9rdgDvKv/uSc9Nr6yhGeBp5bQ2UIgD8\nVQ+V1DBak681+IoRHF9oc3SpzcngGo+EBR954mm+OjrF71Se4NUTc4wOR4SrEB2PaD7XRq73XcXX\naLR5bd3t6wA2Rq9tCHdOr7NufT04Qepb5dxuONGfBs4JIVaBeeBHduGYBxPWIpRwRCgKyDKoVrC9\nviN4kiMsCGMJ2pqgA+1HIXnAEFzRPPjYKmeuLPK2By5S1QlHGj2yp4acf/kQ6m0dBp0Q0deEVxVZ\nxaP1Uo71FNmpw6hhisgyRFFgRzHWFnc+SrilZ3VTOeR2A9en+iCAjcjT1o3DAdksHAjMOHfd/QDu\nC84NOkP+jx/++J0+jVvDVLmgGcUgBXKtDUA1L1BJi6ymAJ8z7eMM3+rzzsXzfGvlNE8F4FXO82hw\nme7JkP9t/iMME4/kmRoqaaEHdfwrPWQ3xLQ77t9tFYzb1euAzQv+Blc2OdJ3+lkAPv9bX55sALdT\nm32juFs5R5xgpUCud8BaosKwlLVImxorPVbbS/zxmzzeeeRVvrl1jveGCd9dSXhzcJHV4zV+8cj7\nuNSrs/b1BVRWI2iF+NeGyHYfs9aetCxs/N89vKYD7kjPOOdsgxm5nlK52kYUBdWsQOQt0qZiXUac\nXj9G+5GIb1s+w3cFz/Ckr3l/eJFD+g9oH6vwS4few5VundVqE1E0COYivJUBcr2L6di9E/m6roXl\nBuXdk9Lu6TX3zvBvxjmn3G3A9TRfayOkoJYVyLxBPKdoU+fM4YheEvCXH/gL/uPGV3kyCPhw5UXe\nW32RF48f4VeOvpNXV1skX6+jkwbBtRBvrYLs9N1c6b0Ultu2dWqzM32QSrtvlXO37UQLIf6WtfZf\nW2v/vRDiM8AjuN7ov3y7x7xV3Mkokisjc8JLJs0QRR9ZjbD9AaI/QLQayMCn+ZJlcCxi7gVIa5J4\nQfDiF04SvbnNNy4tszzXZaVX41irTeNID2MFrfkBweGclWKRrCoYPqBYeLqOSi3e0KeSFVgtUVfX\nMb0+JG6UtjV2c3Zwv3tYt2RxrntA3DfX/dleRp7upcjljHPb3ZR7n3N3HcblglYACjscOXXRNMNf\nixFFQLQiEUby6sV5GkHMb6knOTr/OQZG8p2RQYmE5x58GoPgF3vvpbPuU70iEbaG9jXSGMx6sXmx\n3+vL2lLefdAc6fsa05wzEjscIbRGpBneWgw2JLoqkZmg16rxSn2O/0u8l5NH/gMZKR+KqkCHi0vP\nkS0qPtH/FrqrVaq+wOgqgZaovMBk2Qbn9vrzvgsc6fsaY86NW036A6cYn2SE12KEDalcFshMcbXR\n5GxjgV8y7+OhQ39MgeX7qgB9Ti+cI5tX/Frnm+mtBRS+INQS31NIa12lRZbvHefG1zG9To4Fx6ZK\naydrpvuFGf/uBKY4Z5WCwQARhZDlBCsxEBJdkahYczVq8ELzMD+ffoCfWv4MaybnA2GND4SXOR2/\nykP1a3wqfpzeeohRAqslnpSI1CVMGJd57+n1bOHdAck+3w52kon+h0KIv73N+8vA/72D474u7mgU\naUo9eazcaEYxQgjk4gIM3CgX3bZ4TZ8oLhgs++gY2m+C4ZkmxXzOZdGgWR1xqdvg7Ycv8J8vfYF2\nUeFXLr+L+bcPee7sUfyLHr2TktprzmiNTjSJzq67jeniPLbTdeVsSmEGg4lysvA0NrmTQlDbKClv\no8w3wR48TPdU5HLGuVu4R/ce5+5KjLma51Aqvdv1NsoYZNdnLm8Qr/lkdZ+Xzj7I6AMeH6g9T2w9\nHvedkN1PLv0FQ5Py4Les8M8WvoPLw4DmH4eEaz51X6OsRWQZptsHKbBlYGe3r8NhI1K+iVtjzATr\n7jzGnINJxli2O6jCIAcxraJB0vIoQo+L546TfFDz9PwRAB7z+gD86Nw5AN76ztf4Hyv/Ce3UI/xM\nnXBBU/c1HiDiGNMfIITYW2Xb8ppu6kiPf2eGO4NpOzcWf1rvoIwh6sfItEGypinCgGfOvYn+t53j\nKy0n5vmhyK2T/+jw1wF4qnqOn6z8FTqJpvVnAeGiR8NTKOFaZMxwuHecm8qsI+xGRhomQmPAgclI\n39eY5pzngxkiAJ3lyGGGzGokLY2VIV996XEe/PZz/MFonkOqx4nS0/vHh7/G0KT8Qu01flp9B+2B\nZuHPA/zDPo3IQ70qsXE8qbLY67X1OjHPqVLvg5KRfj3sxIn+t8A7gY8B18r3BPA3d3pSBx5CuKxb\n+WozEGFAcWUFOd+CTh8RBvidCISgejFltOQRrijyimD5yaucu7zA+x96mW4ecTjoklpFbD3eNXeO\n3730Fv6rp/6MXwreTbbqk1ck1QuSpCnBttBxHb06cjOEL15BaI0siomRtUmyv6OIxthmZMdk4znZ\nbG5+va7Mdvz3B/SBuWOYcW57zDh3YGGLAiGkE0UJ3Cgi3fYJhKD6WkARwdlnj/Lz4Qd4vH6ZE/or\n1GXGw16NjIK/VHmZ31hY4UWW6DwWkF5S+L2QqFNDZLkTRokT7F5+dluU4cfYJIQyExs7MNjEOc9H\n5Dna9xC5pXJJkVcFF585zL8Ov4XHG5c5or5MUyY87lfomBHvCAZ86wMv8cz6Uc6/qVJyLkCvVaAS\nIo11G8v9qLy5mSM9w4GBLQqE1I4XIw+R5fi+RpiI6gVJXhU8/8xx/pX/AR6tXaUlv0pLpjzs1eiY\nEe8M+7zz+CucXl9i7VGfdEXi9yMq3SoiCt0ItjTdO85N8cwa66ZawOaJF2yp4pqtl3cUtihcep1M\n0AAAIABJREFUkGMUg9bILMf3FGrkk9ZC4kXB839xnF8L38G7m2epyBdpyZwTukbfZrw/OsPXHz3G\n09ceYLW9RHRF4vdCKu0q1KvIK9ew1paq9Hto5+6BjPRtO9HW2h8XQiwB/w1QAP/SWrsmhPjGrp3d\nQcXWxc0UGyrK/QE2z1H+At75FcxiE6kluqapXDUMliWvfeEBGt+0zu+ee5y56gg5b2iHFc4mSzzb\nXebbj5wG4Hvf/AxX4zpfOHuKdssnuqDwhhq/J1H9lHwuwlPSOTX1OsJabJo68akbzV7br8X/ugyO\n2TDQN8oOTmNmpDdjxrnXvz/3GOfuCvGTm8FaJ8hktZtP6fvIoiBo+ywNW+Q1H6/r82X7KF+aP0n8\nVo+nqmd52OvQlBFNCT/34K9z/rjH3218P2cfmOdSo8pidRFhoHa2ilxpQ7vjRFHGC/5uf45bFEbB\nbSivc6SB/S53vJfaVnYF1mLzDFtIRLeL8H2EMXgdn4W4SVHz8fohf2Ef5Nkjy5gnBE9ULvC4f5Wm\ndCP+fnr5Czy7mPK/hN/LC8cOcbHRZKm6iI4N1XMh8soaqIEL4BTF3nBu6noOWkZ6xrktMOU4IqWg\n08V6HtIYgs6AxWGTvO7j9Xy+ULyJLx05QfBEzluiCzzs9Sd27t+c/AOePZryj1of4emLD3CxUWOp\nuoRKDNXzFeTlVYC9s3PT66fdyApOsLVndZ8d6RnntqDknBUSaQz4PirPUWHAwqhB1ghY6wf8afYW\nvnbqAfoPhxzz1/jB+iqHVJVDCv7J0T/g063D/Gzwbby62uLSfI351iGCdkEU+Mj1LsDe2bkbrKtj\nbBot6S76QK6tOxIWs9auAP+zEOIQ8ONCiNRa+z/t5Jh3DezmLJbbLDpDKrR2/YDWIKXENqpEl4cI\nExGuFrQf9Uj785gArskGL7zH8NWVY/yXD34er1kgsfxA88v8r5e+m7+6+DWksPzQ4T/mo7/6w1x9\nF0SXNcU3N1l4tmB0yKcWeMhXLiFrVTAVN993MvpnC+n3q291uhxyamzMppFEW7KDm/oMx+e+6Vj3\nOWacu8X7c29w7q4SP7kJbFEgKBdjJRGA6sXIYUYtlCQLHmk/4AtHTjEqPC5mK/yn9W9wTNdYVFUW\nFfz3Jz/Fv5Af4vmrEYNlReVKgQk1LDQQeY4YxRRZvvfZmm0y0nDnqhruqbaV3cJ0/2CcIJTEArIX\nI+OcSkUTz3tkvYg/mnuU7qGQlbzO99ef5mGvhhKSJzyfH1r+LL+s381nr9QYHtJUL0NR8RDzTURe\nIJSk6Pb3Pkh4wDLSM85tg7KHGYDCYLV2dq6fIOOMakWRzGuyXoXfnnuCy4sNXk5W+YHG11nWjnOP\nex7/xeE/Q/JePrf6KP1lTe0SGF8hFlpOgT7NKDrdSWvXnlzKRANiG6FO7kxGesa5bTAuxc9zbGGQ\nUiAAOUjwCkv9oiJtarK1Of6d/GY+cuIv+HWZ8O7gMsu6RlNG/LVal8EDn+OLjYf57e5bGV71Ual1\nyZKicGvrtJ3bbc5tWVe3bZmaxgFcW3eszi2E8IC/AfwA8JmdHu+uxNTIDaEUWOv6WJSC/gCR5yit\n0TUfmRQ0zgvaj2j8HgyOwcUvLVMcj0lOenTyiIfDq3SMx1vrr/HXa6t8ddjm19vfzM/+9Z/j75/+\nPq7MN2l+PiSek4TrhqLhIw8tINa72CRF1qqYTvdgZNa2zRBOzffd7qGcdmru9PkfVMw49zr3Zsa5\nA4NxL5cQmAGIOHGq71pTsRZR1Bktala7R/m92jKH3n2ZL9Ye5PuWvsLfqHW4VgwIheT/fOj/4Wfq\n385v1t5Ot6upv1SjdqmgFnioq21UEGC6XTAKm2e7/zneJHK+KWo+K3e885g4NQVmAIxiZNmnXzEG\nlTQYHvboDxf5bLTI0++9yjNzD/C+5kv87dYF+jZhXhX85NFP8s90yu9430TvQU3jTJXK1ZB6qFGr\nPZTnO84V4xm/d+Azn3HtYGCac8MhYjRCZBlSa6p5yblDmvboCL8XHmH5fRc4MzrE+xsv8oP1VQyG\nI6rLPzz2m/wT7zv5VPgW+g96NJbqRNcMjZd9xznfc1MKxgJQu5qNhmmxzusc6U0B6Fkbyx3HNOdG\nYmLnlNbU0hw1qjNa0nTNAr/6zLfwh089yvccfZZ53edvNl6iJkO+NTrHd1fPo2XBvxdP0j+laZyJ\nCNcCms/7yP5oYudslrPrGeHXcaQP+tq6E3VuDXwU+Angz4DvstY+N54ZvVsneLfBJglWqkmWS9Rr\nbq7gXBN/ZYCp+MjU0jhXkEeCeFGS1QwmU/zOlSd4vHkZTxT83LVv439f/kP+PPH5cOMZ/u3K+3g+\nOYoUFqkNnXfHeK8EiEJSeAGtTgJ110Njrq0ha1WX+dmr2W+3g9eJNm3bZ3iAMoMHFTPO3QQzzh0o\nTEpt7WCiohzlBeEVn3C9Sl6RXIyO8FpwiPZbIz5V6fCtzRdoqSGSLg9FK5w6vsJypcvnKo+QzHuk\n1RrV+YDw8gCllZt5GUtsYXZ/vu/rZAVnfYMHDGV5N0I6UTClEGlGkBf4qwHhWpW8qrgSLfGn0SKn\n33SIP2is857WWQ57HXz/Io9XLnHuoXkORz3+KHqc+JImqzSoXQgJL/Ud5wZDbJruDefK67hpNnpm\nsw4OyhYnKySi13d2LssIrcVf8QnXKmRVyWvRUc5HR3juzYf5nWqHb597npYa8s7wIu+qn2XloRpH\noy6/XX8rw4seWbVG7UJQck5je/1Jefeucm6L8NPrOtIHXPjpvkDJOYTE9PrOzllLlGaEV0LCtSpp\nQ3GNw3zi5UXmj7f5+pHjPFa5zEP+Vd7qX+V99RfpPREy7w/4tco78FY1WbVB/bUK4UUfFfguUVIU\npa3bxZF/21QRbpuRPoATMXaSiT4DXAb+DvAsYIUQJ4D/FvgfduHcbogD288w/lBNAVJj82wy11R2\nuog0Q3U1UVIjn4uIF3xq5y1FKEhWfc5dPcbZEwt8rvEgTy5d4J9eexc/uvB5Pjk4zC+c+Cxnsz7m\nuOQz1UfxZcEXr76Z0ZLAeIK03iRardN4bt2pKLe7iKgcg+T5ZfbE7l9p7Xb3ZYv4E3Ddg7KpPHJr\nme0beGjumx6aGedufl/uYs7dc5heKMdZFCkR7S4yDghCjddTzD0XkjYVz9WOcmWpxsu9Bb5v+Wku\nZnPMqz4/cOzP+ZP2I4RzMTEQrnh0HvKQWYUgK6BRg9cuuRLyogwu7XaW8PXKzw7gYn/fYXzfx2WP\nWT4ZSyS6feQoIfA1eqhpvRCS1SRXKnOky4pXey0+tHyai1mLeTXg25de4KudE6hGSpILwhVF95SP\nMDWCLIdqBJeuTjgH7L7d2+pIzwTtDh5uxDkpketdVODjhxo9UjRfCMhqinO1ReIjmguDd/OR5W+w\nktc56q3zVw89zRd7DxE2EuJckK56dHwPqBFlBVRCuLyCMAas28rvRTXEWF9kO0d6hgOA7ThnLAxH\nSCEQaYZf8VCxpnHGJ6tr1qI652rznOvP8+FD0DMRR3Sbx6pXOB8vEM7HxCYiaWkQGivqVEYpUs9h\ny/0laer2TLudM71JRvogjpYU9jZPQgjxh8Afld9aYHy132qt/Y6dn9qNcfpLL9kfeddP7OW/2DGE\n55eqje6Dl76HCANEGILW2EYVE3gMT1bpHtf4XUsyL0gbEJ9KIFZ89P2f4ZfPvIPffcfHeSFr8qGo\n4DcGFVbyBv/mlfcyyjyurdTxLvl4fUHrjMHrF6jYEFzoINIM8gKztj6RrAdKh2uf5/pObsz1ohXb\nbUI39Ri6N8rXN87Xj33xp3jsHQ/vqKlsxrkZ594IdoNzF168ZL/2R88CByxwsxsoPxOhFCII3Caz\nUQcpyY4tYH1J51RI/7gga1gqj7WJ/IzvPfYNYuNRVzG/d+Vxklxz8YVDBKuSaMXSPJvj9TL0tT60\nu9j+AACbZrtb4r2FUzfk0x63CEwHbp784BM88OjyjHM3wtRnJsPAje2rVUEp8qPzmEDTeShkcFSQ\n1S3ykT71SsIHj75IYjSRyviTKw8RZ5rO8wv4bUG0Ymmcz/A7KWq1j+gNMIOhCxJl+d60FWzNSG91\naPZ4Yznj3BvAtJ3zfZeVrtcmds6EivYjAcMjgrRlqD/SplUZ8f1Hv0avCGnqIZ9aeQuD3Oel547i\nr0miq4Lm2Qy/naHXBojuYHNWerftnJCbRhBtgp0afbWHtm7GuTeALXZOaI1oNkBJsuU58qqm+6Bf\n2jlD9ZEOJ+fW+eDCaTxR4ImcT68+znpS4eWXDuOtaaLLgrkXM7xuhrc6QPRH2F7PratlZnq/1tb9\n4BvcOud2kon+B9baz259Uwjx1A6OeXdjKjJi88y9lr1ztjDYUewGmtdriPUu4tActRfWCdZrxPM+\nVkpkJsjfVHDi+Aq/e+ktPLZ4lZ9e+QD/2fwX+P1RSCgyPlg5Q/3BEb986T3khaSYG5J9bY7RvEAl\nAuMpzINzRK92Ee0ewtMoVcUkCRQFwg/3fs7l62Fa7Gkryllx1zk1cGCiTwcGM87dOu4yzt0T4ic3\nQplVs8ZiRzHS9yZj0vRqH4QgWPCxFyVDI+herjNopPxJ+DDzwRCD4FRtjStxncuLCXFVgfDxu4oi\nEFTSCFkUiKKAouzxy7PdK3u9UXntdvPI9zBqPhPceQOYVKfgJgpo7UZh+R5qfYCSkkpdA5rhsmB4\ntcJq3ePP/ZM0gpi0UMyFI7oiZP1wQlzxEEYRtjXGk0RZgbQWMZ7lyi5z7mbYQQXNG8WMc28A47XZ\nWEjLkus4Rnies3OeptLQYBVWSNpX6wzqPr/vv5mjlQ4vDg8xFwzxVU603GdYiRDGx+9oikBSKQzK\nWEgzp4cihOPcWARqV0ptx2Xd29u7G66bu4gZ594Apu1cloMxMByC1uhrPXTXw/gNrNQMraS7WuWs\nFfjyIY5GHRKjmfNHAMwf7bDmNdB9n6SlyCsSmRZIpZy2CUDsVMIR7E6S5AYinmPsV0Z6z4XFtnOg\ny/fvoZDOG8T0BzkmwjgDBwghMHGC8j2Xur9sEL6PqvhUhzlWVVCpQHw24uW3HQFtUacMS2Gff7Xy\nAT5+7HP8bPsIv3j1/Xx4/hscrXTQsuDF1SXiYylGeSRzGr8LzXMZRT1A+Bq1IrD9PkIIRK3qlPbg\nzmQGtymzvf533GbghrNYZ470Bmacu/V7NOPcwcKUAJxJM0Snh1ASBkNktULttKYaauqvhQxe84jn\nKrx46jimkYO0LC71WKgMCKOUWHjERyRWalQiSWtVKld89KCBd7kN/SFKKRfUMaUYy043mVPnP9lk\n3kz9fcahgwFTYG2pH5Hnrrx7OEJUIipnBeEVn/qrIaNzHqP5kAunljnfcpyrLw6o+Bnaz8lrkCwK\n1qVEjyRZtU7lSoBuVVGrPej2kEo5R303W1tuZM9m9urgYsy5OEFkTvF4zLmatUSXAuqvBgzPesSL\nHl9/KOKZVorShqMLHWp+Quhn2IZgdFhiPIXuK5J6leplH2+xhl7pITo9lKfLsURm53Zui5iikNsE\noieO9J0ZRTTDDWAKrDVOg6ToO84lCSIMqRiDv16hWfcYvqyJ51t85ZE6zx9z+7RjrTZaGhphAktd\n1odz5FWJ15NkUY1oLcevB+j2ELHWQfYHZYuW2uAc7CLvrm/BOyhr647VuWd4HZROjTWF61uxBhsn\nmDRDzSlsmqGsxSw2iVZSRGroPFqh9azGaLiwcpTztSPQynjs5UdZaA5Yqgz4yuAUP7jwZ3zs0oew\nwIff9iy/H72ZrBCYMyFF6BGtaHRsqdR8dKfuzufKGrJq3NiPLC9HE1lXCrwXpWc3wk2Ubqc3A9eN\nkDkAD82Bx4xz22PGuYOHqcCPBed8KoWNY+RqG9uoEeQGo6r4PYmOJZ3H3LK17lfJC4mnCghh0PMo\nQouVkFUF/Qd8Wi/mFIsNFGCNy0zbPEfYKVGcXfpMN/Vw3WyM2gwHA6bAohAULlszimENpGngFxar\nBXokUami+7DGCujJKkk1xfOcM5wHHkXF/W5WFQyWfRovZRQLdZS10OmB50q7hTTY8QzePejPvw4z\ne3XwMGXnUMplpddAiRaBsVgl8IYSmSi6jwTk2nJRWOrVmKqfIQXEUUBelRSBxetLjPaYO12QHarj\nAaxbyHK3xu6GnbuZQyOF67/dp4z0DLeBac4VnuPcOihPIQpDqAQyA1B0RQ0EnC8kUZBytNFllHno\nxRGZDClCid9zwWo9LMjnq2hjnRbEcIQg27S/2q1+6YO8ts6c6L3EtNGSZYRGSEwcI4IAm2Yu85Ln\nyO4Q/1oHW69QvajxBpqsKjG+QOYS2wtoPtnjZGOdl9YXCVXGz4y+k6ear3C8ss6LvSWKnodqpMTH\nMswVjR6AHlmML7GBh1x3USZZrWB6fZDSGT+t9kZR9Fbuz3bS9jd6IMYbhdmG9MaYce7178+McwcL\nU+J4kwB2mrlxHWmKACrDOWzo4Xeq6JFPHsFoPaI3F2AlIECo0oFuWEaHJcE6tB+rEHQNYaDQ9QjZ\nG2H7Q0iSiZoy1ty+mvwWVVH3Xvn11sUeZo7NQcE056xwfBASkgSZ5whjCfstbBgQtCP8fkBaE8Rt\nn7ThkZYftdQWKyCvWkZLAr8LnUerBF1D4Cl0JUT2htjRCNJs0t6yZ4KL0xyEGd8OErbj3NjO5TnS\nWiqdFrYaEqxH+D2ftCGJV2u05yqs67I03DPgWUzFMFwWeD2B8UP8rqVS0fjNCrI9QA5jbBxjR7Er\n67Xm9oXHptpXrLEINfWz6xzpmWL3gcFEdKz8XEYjrFIbo7CAynqTsBERXQvxOz5pQ5Cs1OnWDevV\npivTDpytMrWC/gmB1xUYP8DvWcJI4ddDZGeI6JdTCsac24mo53Zr6xiTfmlzx9fWmRO9XxgvmLYo\nMy/WldxIgQTXQ6UUIskIVoZ4XY1VkjysEKzC4AHB2vMLXPPnoZlxuNajolN+/bW38eGjz3Np0OCp\nJ17mxdUlul2fdKlAxRqVSqz0SBuasKJR3QoyzZFauzFIUrgyDxVi0myjFHi3+mluFRMHRZVGWm28\nLzbKiDZFOmdjPW6OGedujgPOueZSY9tenN/+xKf55Cc+vef//05hPFNaaA/TLcvQjEUoSdgZoPst\nAEbLEVlFktYFaUtQ+JAsGryewCpI64AVZDVFHobUz0NRC9DtABGnsN5BWOMc6XHJ7U7UbbfL1Gxa\n7HenouEjH/0Ovuej12t3Npcat33M6WPcd5yz4/L+HKE1ptsHKZDWILTG70SofhOEID4UkdUUaU2Q\nNgVFIEhbFj1wnMsrAixkVYXxQjcHveIjOz4izZDrHay1CGPcaMKx+NxONpm30pu/Q8w4t8uY5pzn\nYzo9xzljEW1N2I7QQ2fnhssRaV2S1iXJPOSRJJsvECOFCSwZYJUgaQmKwKMmQNU8vPUYMUoRax2E\nKSDLN9pZbqcCbKp9BSs2OzZjm2fkZlu3A8w4t4uwFmwZvCkKhFIuqQHIwiC7fcLVED1oYZVkdDgg\nrUqSlmZ0yGIChfEt1lqMtuQ1GFpBPC9Iqz7VUKEbAf5qgEhz5HoXm2UuSJSmt8+5yfnfoC9fyDu+\ntt62OvedxF2rrDfdD1p+LbRG+L57z7h+VQ4tUCzWsUIwOhKiYkP3pMb4giKA/sM5px6+wmsrc2iv\n4OTCGq+utzg5v04/DXj1pSVUK4VLoVNzvGapXSgQhUWPCnQvQQ5Tt5E0BtvpUnTdbLmxOBVCunPd\nj+jO1rEdcP1G1G7j0Nyk72Km5lhixrntcRdw7m5QhN9TiI2NmvQ9F/CpVaFexYYB+VxEESniOQ0C\nkoZgdMg5MUVkUSOBygAL4TVL0DP43QKvnSAyg1rrQmGw/b5Tkt9Jr/SUoqiQWzaYsJlLexQsul+m\nEOwpptWIlXKqytUqol7FBh55q0Je1aRNjZWQ1iWjQwJRQBGCikGmIAxEq4agU6CHhXNo0hzR6UNR\nYAbDzb3SO+HENtMHgM1OzB7Z0xnndogtdkNovWHnmnVs6JHPRaR1j6QlMUqQzAmGRyzCQF4zqKFE\nFiByQbgK4ZpBJZbK1RQ5ylHrA0ReYNtd7GiEtXajGuKN8m76fJXacJ7HKI+5l5MJZpzbIbZ8hkJJ\ntweMwg3ONSOSeY+koTAa4kVBMmcRFrK6wes6W6MSgd+GoG2RhaV6MUUNM1R76DjX6WJHsdvz5fnO\nOTe9to4rIOCOcu6uzETftcp60+Vb5de2zAaOjY+IIuyVa6j1Dsw1qXdjiqrPfOwye8NFRbCmeGW4\njN+WxMs5L2VLRJWE0xcPc2xpnafe+jJffuEUzGeMIgVCkzY0wbolbEvEnEft5S7W14isgGGMrFac\nQxUGG4u73afyiG0i6tfNX50qjRz/fONn12cHZ2qOJWac2x53Aefue2wVHlMGOl0njhIE+P0Q62mC\nqyFF1ceb8wk6kjwUZDVBXsX1ellIG8JVWQQC1VT4PUOgJSLJkFohtXYOdZ6XojzjKo5bXPC3qnWP\nS7onfFJuXiyUm4BZueOBxJaMjbOTBhKn4u31R3haETQqmECTzoeEbUkWCQrf8U7mFlFAWhdgFYUv\nySOF183QWiLizAmOKVlmaHJXAjk9umU3eLGpvWBW1n0gMVWyaovxGlT2M6cZwvfw+xU8JQkXaphA\nMer7BOuSrC4ofEXadEEbkUMyD1ZIvKElj0KCbkEQaNQwRSqJ7Puu8iZJJq0FwK1X4Gy1c8aCFIjx\ne0q4wrddzA7OsMuY5lzmxMBEniOKYmptreBdlkRzVUygGXV9kqYkqwnCFcc5rOPc6LDFSoE3hN6J\nAL/vEUYa1S85N4zdnnM4clnpcQAHbs3WbTcJY7yuTlVAQHFH9GvuSif6nkNJKiEFdjRys319H0au\n9EalGaqvgRpWCURh8b8oiVuWoqIQ1yL6cwEn33SZV1fmqB1NeO/jL/G5bzyCbqUkscT6lmRekl1V\niBxUXEMWlvB8m+LBI6i1Pqy23egPT7t+BjZnMPcF24mkvF6/6qxX9Y1jxrkNzDh3cDG94OcG8Fzp\ndZo55fdSQEf3R0ATmWl8JRgoTdCxGC3II7BCYDTkkVt0i1CQNXxUrBC5KUd1lJtKT0+i3E4X5RYd\n3onTr7b/+Ux85+7BeARbMWWD8rzM3kikEIiBwFMSkWv0QDBa0nhXrSvrDgTCgtGukkfmgqKiESZA\negqVF06MJ44nzroQZRav4PY2gTcSGJvh4GOLM01WajSkqbNzWqM6CiUERkuE1XhDGB5WVC5bCl+Q\nV0DGYALIyvattCoRhYcKJEHunAtROjXC9yHLXGbaTJdq3yLvxm1P2zk447LufR7EMcMbwLRgXAGk\nZbl1ljvOKYXyPeQwww9Kzg1cCXd4zdm1IsD15AeQKoEnLMIIZOahAoVvQAJiGIPvIYSYzJS2Y47f\npsMrhGC6knqT9sg+YuZE3ymMiTNeqEuRI6zF9geI1JW4inrNkaVWwVsdItOwVAINUAlgQMWCzMC5\ns4dQtYxnTx8DI4gWhyhl6Fc9kCA6Eish6Fp6JzRzpxOSY038lQEEPqLVQIxKMYqs3DD4ejK/ddyr\nCOxtlGdS+rh9D8RNs4OziOeNMePcjTHj3MFGeY9tnrmRHVJQrLdda8LQB63x8gKtFbYS4A0iAJI5\nj2IoMcqSh65v1UrhnOuKIq8oikDhdTzkKHTBpMJgh0PIygzheObvtEO13Wd+sxFqsHlzuQs9gzPs\nMcacmw44ZjnC9xBx7DiX5XhKYaMArxdipSCvaiesqKDwJVY4Z1qmlL2FCuspVGeECHyEHzsbPBw5\njuV5aQu57az0Jls1my5w92CTnXO9q8V6GxkEk/nSQZYTeJqiFuD3QowWZDVXDTHuy7cCjA82E2RV\nV51jghr+mo+MI+QgQhgDPbfujytwAG46ouhmNk6WbVHGOLFHI0FMiUPNuHfwMPWZbMu5JEFqTTSM\nCUMfU/Hxu1G5H5SkVQHSVd0IQ2nzBElDojKJ0RX8tkamFWTPBQxlfzjpl7bjfumbVX7dhHM3rYDY\nJxwoJ1oI8dPAEOgDbwd+1Fp7+c6e1R5hopo3fi3LapLCjf5JS+XiXt/J0w+GyMV5xCjFRj713JLV\nPaI1QdxSHPqq4co7PIT18HoweOeIUS9Ar/iIQyk2cc4MFlbeWyASicwC8lAQLXo0TvcgqiPSCLnW\nQ4Uhptd3as5B4M5lvJEYOza7bRRfr8R2shnY8pDMsoO3hhnnbnxPDiDnqs0KP/rxHwbusj78vcZ4\nNJFwpbBY67KE1kCrgRgmaCHI6wHBtZSs4VEErm/QKJAFFJ5b9FXsNnzWUxhc1Jw0Q+Q+Vmu2W77t\ndlmbqb6tCX9KDo0X+m31R3bI6ek+/GqzctvHGWPGuRtgzDnFBucKt+ETjTpiGKOBourjpwV53cd4\nEpkVWCkQucV4EmFBJQVWCKynQErHsSwHP0dYDfH4f5aVEGNnGm7OlW20HfZinuqMc/uEMkMoUJPs\nHXmOsBY710D1E3wgr/uo1CBa2lVAFK4aQhRQ+K4KxxuB8QQmUFjlHB8Z566Sx/dhOHT/0xjIxYZj\nM829m0GOp1gI93XpFO3WZIIZ5/YBZSXVtpwTArRCjjLCq5a8ESAzBVaRhwK/a0E4zo0daWEseUWi\nEo31JAiBHCQQha73f4xNnOPWOQcbvDPT88uLjZapfVhbD5QTDQystX8fQAjx48DfA/67O3tKe4xt\nDIvNUld2U/Zj2TxHNhvYXh9Rr8GVNXRcR69J+o/NEa0WDJc01YuWvCIYHbaocyFSQN4wiLaHreVk\nrYK8JtBthUoEWQ300JJVBHkrQI1yEB62UUX0hoijhxFrbUyn65ya6YiRkOx5rc4tjCG6roRjptj9\n+phx7sY4QJy7a/vw9xKbxmE5ETo7FhwpCldNoRQyruCvCWyjirc+Im+GLgOoBHmkEOWS7al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GGY5Rr15hRmWkFZC6tc5cbJoRqDy1NAAbbW0GODZqUG/F2D0BpYGQCjqcuTaXzuFhAqiU6mvriE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\nTwHA+kCdKz2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ZVKM5OKT+4WGbanu7CJMGAPONr5F/V9evAoiwm1zdmzO0AHFQV9/+MFW+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SQeOYW9aX2A6vBa5lPT47z5eURMJUtFOgWxBu/Z6EHE1WtaBFTHct7MrJlTHUA3c5+hCXIf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F4pYBPDD/xCH6dxdYfugA6ayE7SbIAGDYhX5wSmiOs3OC7Ny+KZUov16TUN/pOUEZI04k\nO5h6NCLojrNRAKwBX4mDHrfeAEOVOZHGvWrHY9pAV6sGpPmrv/G7+No/+f0mHC1Aa28+d/hEa46C\n8nBP47UWV4PsZmKqDccEWg5i5JyI4rMxtIE3kgpN3q4cZ1vVEZu2OIY78nmqLBOVWxFs6fepHUpM\nYYkqisyz5cSQGY+BqoK5eYO4eL0e/HJFm2lZAr0ucHZJlZM0JXv+6ptQH3kB6UXo1JAmgNaodnrI\nTleAA3zHwCuF5DInbYq8hNcguON0JTYQKwqgldYihqIyQu3Au3BsA+Us8Vx7XaK1xIInSkPpUOni\nioyt4WMbVZeAbtm4x1wpua4OBK111ID78j2PaBE8NgKT+BirFV1vcEB5b1C9XqN1Hf2G23BO3Wqz\nvVYDtRSQE9R/FjDjYd1ustOhtc3HWiyAiFfIgWfy/HNwR8dw6xx6QMGLHo1gHx3TbywWSJ57Bu7o\nWC7NPjyidVyUUGeXqE5OYD70AswyJEI6GfSqhHrriAKPLIV5ZOG7GbqXS7hRHyokQpKjC/idEXDv\nIXDjAHo8hFoX8KcXFKRUFX3/gII6pUz9LA0G1AKLe0cXFLyx/YJS5DhGvX4FSss0oi2Qdr4vMrct\niCtVeK4B/bAlOIrXkvQUZuRFeFYQUe22cfY3oPvx+o1fa+3hQI2csadnghJpQEJ3d6kbwbaqY0hK\nCvqGE4VawTtIFTpG8ElC+GAPnm2cVlBFAtXtonrrHu1VqzVUv4fsO3dpTqyFe/5pJNNQKT+dwt7e\nQ/+1KfJbA5jcIbssUQ0SZJcFfEqq3encorgxQDrN4ToJ9LKkIMk5+J0BVF5C5RV8h/o9+0EPKgmJ\nOuuokrlYQI9Di7nxiNYG2yHuY1y44PPlUctT99h1t7EuWv7VtYyQBJdCm7XNvZSTlK29VSgN8flx\nVdN7grEDiDUG+N56QODUlKyqkzdsP+M4geMHpgbEGgfymWAH4/Ufz6dKM9qzgtAxACAUZ+LnIBmN\n4E5OoXd36fPzFfnzRQk3nUE9dRN6ukTx7B6yV49hb0ygXAq9LmGHGRDWlVeAKRxGry1QjjMki4o6\nZpznsAPSjQCA/KCDzkkOtSqAhNYdlKJkjlXwaQK9t0sdM5yHPzsnpMPOhHjRStPzsTOBv7gk6gvv\nR2UliEXeexjqfiX1KNxHlSZo9yl/uzX3pJXooff+U3JCSv3YkxxMKXUA4FcB/B3v/T2l1M947/+X\nx31HoKyBqC8TEAyZL+k9FEVo1aShO6k4ctu4zvKgsMBOGO1s0FWVRb4xDUhPtLDdRQ3tEc4NZ9gj\nKIa0Guh0pIJov/d9mI+9iOToEu7ufZj7R0ju3ILvphi+ZXD6I2OY3OPWN3PJCOVjhc7UY3mgkaw9\n9R98tcRqL4HNAOUUlPc4/mSCZ796ifNPjDG8X6B/lGP6wgCD+zl0ZqCXJeyki+Qv7tKGlqVwD46g\nhwO4xRJmMq65BsFQCs/b0AbSgFaHJILukpqqbFiRcxY3rpdqRah0a5MK34F50rEA0vsxxKHgQMsG\nY6hNw8GQyhzzWKKHmAWItgnsqDTZqMyb3V3Yv3hF4I/cXsnnxNGM4eHxiNcdzWsQpYmEs8zuboCQ\nh1Y80xlxUd54iOrFp6FeAXr/2zfBR3ZnF1DdDk5/5hPY+84MeraGWq5x7288i8M/WeHoL/UwuO+Q\nTxTSKbDzaomLH0qRTT2KkQK0wuDI4uzDCQYPiJ+1uGHQOc+Q7ybwiUKysCj2e+i+fAT73E3oRQ51\ndgl/egaEPuF+NoOvKtiigJ6M5LmRCj6LYRXR5hKeXV+GfpedTnPT6vcpa86blVJ15Ws2o7YdWSaZ\nSZVmG3x0QQhcA7R2MO7hF//rnwXQFHlqjCtg/wxhamwA7c2fgy/vyeGJnQUOoLdVm66qCMQBkPek\nYh2q+9TLEpQ9BmoVTKVlriXgQpN7qIYDcUQBCO9Jvs9Cjof7sPce0D04egRz8wawWtG9Ho+hLubw\ngx5VUdaUUE2cgxt0oPMCmC3hJiGw0aDPaQ1oHzZ6ciDR7VC1xjJSIaPnUnibjuDdvbr9iA4pjAAA\nIABJREFUE2361AIGhmyeW6wk663SJKzVCLHT5oNuqfK+9FOfxks/9WngbcRP3ukY7Azwi1/+BShj\n8If/6zdkzTUEWGK6EiBV361JlKJsrkFdB29uNms8r/w51rIQ59RZ2jsimLFoHXQ7wHotNpP9AEmO\n5bkgU8xoQGgwrjxNxrKuGsKLgbahspScsdCOrbp7n87l3sO6ghbmRAMwoxHsyz9A8sIHgKIkPl+/\nC3/nBmw3hf7e66g++UNIv/cmcOsQ+v4xVR4HPRJ2yqky5L0n9INz5H8kSS2yU5EaPKwV0SdlDMzu\nRIRPSYE8kaShShOpPMVtHzlxKroG0RprVOVC1wJ+/bM/+cla5Gm0vbXPuxlbxezi9R7rOPDf/M+Q\nQGnDazeSOrHNaicjeZ2xvawqeKAWhmJ0YlhjADb0a9oBedvnawsc6X4fendHumRwNdvfDV0zeF/S\nhpLFt29RRXy1hjvcg797D/jUR6Bfuw9zQaxHuzOkzgVFBTvponNCkH6fJUitIwGxQJNSHkiOZ3Dj\nUNEzCqq0RDNA+Gw3pWrkZAC1WBPSqxPaFWYZJSh5DpMEWK+hxiNSiw4QW9ULPbF1oFiFgJGfSXn2\nbY0maN/PjTV3HWJ24x5+8ct/GyoJdu43vxV+LOztjCSIE9KMPGV+9Da/K02J7uUsVEbJL96v7HTa\n5NTHSIkrEpAARHR3owMI0FhTKs1gbh5Kkgagfdyenm2sP2UMPEI7xk6nrtKWBYAuJd2qCuh2CdZv\nNFBWSE+WcHsj6HkOOMBcsu+TwSxKmLM58uf24DKDdF5ClRadM4dylEGXDkgAs6gLDutnJsgucrjM\nwCwK4u9PV/DdFEgGUPMl+ZxP3wIenhCV0XuoYa9OrgyH8Os14KJE18rT2lvnougNgJKI0X7kokSC\n0IrCZz/3N17CZ3/yk7ReHrPmnlRY7D8E8D97718Pf/873vv//gmO93+CAnuuQM+2CZW9/K0f+H//\ns3+34eQ1FtfjhHauqFzHlSdvbQ3ZuGLEznKjuopmBaYtMMaiUPLZLSJbV/K4BwPonQmq+w9gdnZg\nP/wMzOUK5f4A2b1zuFEP5V4furBIvvs6Tn76Y0hWHjZTKAdAOVbYecXi9OMGh9+u4A1Q9jXyicL6\ngKTp9/68RNnXoaeqQvdohWKvi97dKZAXsHtDJA9oA7EHE5jzGW3wZUliEzsT6U2cPHUL9uiYAo3Q\n8gDO1k5S61rbsNtYQIGHLwtqk7VaQ4+HZLCjgJS/p7JUfuO6hSgaEJBYaIKd6ihjrkwNReV76ItS\nNmRZd1EVoS1sEg/5Ha6scrUgQHS2qdoC2Jowuqp6ZA5IeVOqf2fnEpTpT3wI7k8JHZHcvgU/7GP6\nw4co+xrj11Yw6wpHnx3j5jemWN/oId8xqLoK2cxhcduQqEnu0X9ksd410KVHNie+zOTbx1i8uI9k\nRdCz7qMVVWiyFG7cE6EnfXJJ0J8AhfOzGdSgL5uFMhr2cio9H6UVjCL13ZhzFGeM2w5RXIHh61fG\niBJkLELTFi770rd+BS/+6AvXK37yGK78torKBo2lTaUIiT9p3cKvx9+9KvuvDVWIAwxP1hfPJ1eP\neA23ObzhGLGQUaxHsU3PomErY0RRpK4ZC5eZnQnZiV5XemeqbpccQefgEwNVWfjEwHc7xAfLUqjp\nghSTnSOoow5QbqUo+HYOyAuCmC1WFOg4qkYTVNs2r50RMwLZc4J44KTC1sTfOxAGjOfrOu1cQ5ci\nWl+y18UiT4z64uRiO9t/VZUa2Ng/t3EKGxDK1hCod/s9baR3raCawnWYnQnBY0P1VjQ+QkJR9iNG\nobRsZ/y3rMlgW5Bm8MslBbJ9Qkj4qoLKUgrayxCkVZZgulVFcPSDXVpvIbkDa6kCE6gLAGDvPYSe\njGg+1mtK2pcV9GhIgb5WVBUPXFLFLWMCB5oRXJy0bognhXvBwU0DkRK3xovXo7pGAcXP/t3Ne8hJ\nJO+2JvRUp9NIrgPb7VWz2rRpQ9/OJ9w2VJIQFLYstxZiWGCVKSisFSNJV6WQPHUb1b37DbvW4O6H\n5ya5fQt+ncNeXFDwPR7BHp9AT8bUGm13R4Jbn6XwD4+hD/bIhvH5zpZw+2NC13RSEk/MEth+Sv2p\nEwM7yOA6CdERvKfPaA3fTaDWFfX3rUL1NKXqvJrOCY2TF3Sfgo31IRHlpnPoQU9Qg0KvCoguOliN\niroS2RTdt/dLWCxOmly51wIbfpcUz9pJxMckUpgrL2uabdOWjiLbT8JsCus+5jy3HVdeC4UsKAW3\nWBBd03taWwf7tI4uZhSMdjtw4z7UuiSdEO+BytK+N+jWiRgTqDaJhuumxNtfFqjGXaTHZI/dqAvX\nTWEWBapRB8n5CtAQKpWerwh+HrRphKYZ9k93/yElUZOERBpDccNbB9Ec4S4i1tV2BGgkxHg+N2hJ\n0b73ODv3pIpLOwC+pZR6VSn1GoD/8kkO5r3/Ue/9D3vvfyz8d6XSt+736x7PQC1WA2ADCqeorxj1\npytqBT7+vKp7rLL4VeyMxgIbDD9kcSd439xgBwPJGOl+X/hLAILoU6sdQlQp0wPKdhju+auN9B8F\nQM7h6RkFNhcXMKdz+NQgfXgJ382g7h9jdZgi+e7rWL30IvqPKky+d4HBgwL731ujc07V6HQKmNxh\nfssgWXvYrsLkFYd05jF9lrgMuvQwKwuX0Ry5LCFH0wMwGr6bUYuZXgd+PISfLwiCNuhB9/swwwH8\ndEYbe8je8VzYy+hhlt6hmcA4uUcqz41KE2mRYA72yWAZHYSfdM3zVNSv1S2X9F64t9c9mtypWhxD\naarQSACdJhuwMtnw/abz7ALvW6WZ9N5tiLvIB5scLq66bAugzf5eODY5vnH/0Lhvb/LM0/Xry1Ut\nLtXvw4Sercmd21BvPoD50AvBMbHAdI7JN+9hcFTCdagn4OitCsVOB+WAkjHj1wvkEw2Te0x+UIbe\nlQT/9lqhGGmkM4vpDx9Qr8KMoN8+NRK4mEeX0POC1LuthT+7CFzUHjmnjpxjN5tR8sR7SkpYCoJ1\ntxsqr64pPhTEeFTaFKShiVXkKIUKl/S5ZSRBCLx1t0t96vt9mKBYimuibzXsz5UV4Cbsrc3Narec\nI56+kSRA3LscStWwNmyBMvHzFAkmAoha6fQDEsjJ53gtS7IoOoYypj6fllBaG6LMjhgp5Jv6d2OR\nyeh5c/OFBBp+Npfr8eeX9PdsAX85A84voS/n5CTOA3IjLwKcW0E5D7XKa2chTUj0abGC6pPSrkoM\n/GLRFDuMryNNKMg2htZgURL0r6KEWjz/NWIg2scY2h+9f6Ww3BMO3sME6t9ALtT3taEBYnRduYyS\ngNx2CQh7dqd27Pm7LvDkAUhFVHe78tlG/2KgYRPdYiGBsR4MGsd3iwXZxNbz4a2jxCCa65s5gnwv\n3Lqp2p+88IGNuWKkSnLrJtRoJMGtPT+nYMhouu/Wwk9n8Msl3OWUWlmtVnUw/IM3gOMzCroXSwqg\nZzOq+HlPCJxuBz4vUN27TxXrsiJtgPOL5p4HQE/GJEAWemYz8klpRftMWbd0qidW18KK4f41gpiW\nNoK00bmOscW2qSSFcLQ5KRXt5z7PG3xkYIu9AmrhO0CcaPp3gPJGIk6N7wVKnrwnx6Dg3s1momHA\nnyNUCQmFSjsyUe/XAs+F91SFVkqSMLrfh7u4hDkkGpC5cxtQCtXDI6p8e0/V6wcPZe5dnsNNZ/AX\nl/D9LvzDYwpiL6aUkGHET2Kgjy+g5iuoZUBZdRMkl0HbIS+gSof00Qx6XUCtCrgOBUl6kVOCMU0o\noQiQrSwrCt5je9/pkI0Na1gFxA3fJ9XpQIV5pwBFy/3f0O8IIqz8/vs5aoRhWScFebSEpeKkDfu2\nfL6NzzEijv+OWy0tl027HRA2EujGaw2t9QfQflpsT/Dw9zhZo9IMllGNguAijR6zv0d+uXNiewUN\nqzXc+QX8vYfw63VIlHjo8zlwfAb14BHti85BlRX00RnUYiVtA/VsBddNofMK5mwBtS6Rnq/gexnx\nnmcBfaEU0hPan1XloBdrCqA5Kd3JCKmzXFFwHBLb+vCAkuKmvj8sOusFycPxRaC1hfaTjTkO8ylT\np3mvrdfm48aTBtGfAnDovX/Be/88gL/1hMd7x8MtFiLMUr8YZbbCBk7VDuJCNVTu4goxt5Lg/ydJ\nZBQJ5sobq56MG1wYlWYbG7cY0TWpNMqxsPmgMSc7uX1L4IH2uG5VEWfGEbjBzHe1338V6s0HsK+8\nBvu978OenGL06hxqbxfdB3MM/uQe1JsPkKwskos19r6zRPfcoXfqsDpIMLpnMfrOCXa+X8FmCsoD\n3XOPcqhgOxrr/RTFbgZvgGrSQbUTguDDCdyEuIGuT1Udffsm/GIJf3EZ1I4tVYFGQ+gQuDGvI3bm\n637dJTlBvKkxZCi6bngHdzlrZKUEBuR8Q7FbAszh8H0JpONAoM4mNqHqss5ao5HZ54+v17XTXRYi\nCKMn41o85vBQAnRKCFWblZtgNHlNxmJjzCsD0HRQAVR336LfuHmjof5Y3X1LAiTfDbBVrYPgUEXQ\npm6G3ncfoHN/Cv2919E7WiNZVBi9Mkf3uIAuLPa+u8T49RIuU0jnHqvDBDuvFKTqfemgrUfVVXAd\ng3RZoXNGa2D6o7fhdoewBxPoxQrlzQncrX0KSrpdErg7PQOyFG6xEkE+aIKS8ebuvYe5eSNUtJx8\njsRfguPIInmjUR3UOCdcaP68iG4F2L73vjbkrhXQPuGIhefe+ZdaGdYwVJrVdi9O0HhfB3LtgByQ\nNUX/1s3nif9mIbf5nBI1MTQ8Ski6glqhNIJ0ZzcSn+Jk8d+RjSXKQy2KJtehTeNzPrRlcYsF2ePL\nKQUpcV9XTaKFKCNF9bIk2Lb34iRAa6rChEoMKkscwfA5eFJNFrHDlAInEuIJ1YoIoqvSBEhT2nvi\nuQ52TyVJnbSJ5yJ2PMO9uW77JrSZGBHDp9dqRcNz30AysP1pccvg3JWwRVeUTXi4dQ3OYnxsKC3J\nQJUkoaIyp6RZSAgps2l36QuqUdWOz88tFrQ2dG3bvSVHTA8GcPcfEjUsDD0YwEzGSJ5/DtWDh6QY\nG9ofJk/fkWPb0zP4soK7nJFI4nhEarlM7RkNad3s75KqbBp6jLMg23INt1hC7+1IMtnPWexpLdoP\najggO9TpkLbIfCGCdmIH2T4FJFOMOGmIiqXZhpMPRPtGVT3eiX83o7V+a7vUsglBPC9GpsUw8/Ze\nK8cJ18XJPPnNVuC2NQAPlX1KOKSBY073QAROIyQco23axzIH+7U+RFkr/oqP44P6fBBMVGmG6tXX\nKUEUrbnqPgngqVEQGN3bJQHQi0vg7BL6YI/sUpYSHSUvqXVRWDeEmnHwRsFchjZrZUUUk2VQ087J\nTilroVY5VQa1JpuXB1VnownerYhuwPQppRSt6eFA7KzKUkEH0bWrqCNBK1HI/+SqcIu/et0jrj7H\nmgsMKwfQXDOt7wFooqMec/4bo71eo6RUO4EZnxsQCm5xoa/ToQoyHzdOTkSw9DpI1wERQD66/DYn\nvcsKekIBN6nVO0LOAMRTzlLStDg+JepJWcEPeiQ0dzmnjgPeIwnBse+mUCW1UVM5wbyRJtB5Bb3M\naZ8FgMpShXuVU2LHOrhRKEQaQwH1sEd6ET2qnqMoye4lhLQx47FU6XUvBNnOCTrOR1Qy8Ylk4lVN\nX+HE3duocz9pEP37ACLi13XVX97BeFuoWzB8XOmIHD2VJNDdThCqCgEZEAV0VS32UhZweS7OA2ew\neWyD+whPe9BviAKolJwjcfSBOnBaLGsj22rHw8OenUN/8qMwL/4Qkps36LWLSwrAAUApmEeXqF59\nHXq2orYDnQ7MPIf70z9H+voRkpXH3u+8CmcUzMqiuDOB7Spkc4fuuUP3pESy9HCJQueignIeVVfD\nGwpwbDeB7QfH6WCXFl2PnGK9M6kDkZuHdcanKOELkuOPYe4qTQL8MiM10TyXe0Gqlys6/pr78lGP\nS0lg9HvQWQqVpdDht3yei/I0z/e1ZTE5MQNsPSYH9I2Hrs3nQmtzB+Q8NzLhVUUOGDtjx8fi7Diu\nKsSwIgAs0x9zsmPEhT0924BXivEFpG2MXPKIhEPMzgR+QO1g/N370If7UJ0M1d234AckfIKHJ/Af\nfBZ6WSA5mUG/+QAu1cj3iQ+jPNA7WqN3ajG4X6KYJDC5R9XTKIcGo7s51nsJ8p0U64MM8MDgjTnK\n/T7sIIVPDMwqBCJ7O/CjAUHTkgRg2G6SILl9C8nNQ3EOeM7tIxIFUllGcO9+Xxx+lWYw4yFVnmYz\nEooqCqkYEo9LB8EXqkLrTqdWn15T6zaG7V37uMpB3DbiwCpaY5ww4ME2joNngbEp3fy98B71MLdN\nRzauFIXPCtKEA+XIripjyNFC5IjoTefYB9EgSWwaQw6gNhuCQXpnUguoxcIvbfhngF+qbgd+tYa/\nnAbkS0KZ9otLeGkbV9J/RUnO4nIFfx6eDf5/J6PEYVlSosD7KIlnKUhS1GLGzRe0FjkB5VyANAYe\nOWe/I4QABzwi5saJjwakljsRXGMgHVdB4lZkSSIJZx5t+CUAUYltVyobsNcQmAIQZ5ptuFRAt0A8\nOYnl5nWgb6ckHMiVnrp/a9L4PXqzvkeq02kgc+Q34jXEIqMLordw9VElpLju17nwqRkFowcDSYTb\nk1OynVUF1WUuqApqy4+oTeFyBbW/Czw6peTz2TnZ8bJOWKgkIVGzgHzhYESPhuIw+tWaKkrTqaC3\nVJeE1WI0G1dlRN8FAAu/xfPcQOzFz7JuOvhPPFrHYQRKI8Dn17WRREJ8fxvc1Nj+hX8zZUV3u1JF\nV53O1iRUmz7mgwaJMtSSjrVyhEoRn2v8fITj6sGgqXUT7DDT15q/R4KJMQrHTqeEpBwMajRfgHzb\nM0I80B6Wwp9f0LoJSAb74CHZqKMTsnHLNdQqh3r9PtR0AbUmxI1a58DpOQXJJYnY6emSxGHnS2l/\n5IsCvpPR57wnKsx6HfYSJW3YJLBxThIRhFgxtD9oI4UPqbLGiddQhWZhPKGxvU1A866GUo0gXny3\nUISLKQ10UhFVquX3x0g1+qzbCKp1v986XjNJxGKyQL2ezM5kq21vVMMDp1rWWFzYARpFPLluZ+FX\nq5DYKBtQb7dekxBaWZLIb0DzVEePqIvLKQkFu5NTEvPkFmjzpVAMfDejdZQYmKMLQj94T7Qo66Bm\nS6jlGuZ0RusqTaBnoXKeB9sf1p1+4yFUEfbi03M6rlL07yShhBELDe7t0F7MlKmc/DJXlHWFWStB\nufgq0vngexwh+uDs26pzPykn+g0ABwCOACgAY+/9/uO/9eTj3isP/Z/83p/Be+Drv/lH+Ppv/XF4\nAFQjONgqUb+NK3jF+/K3841FuY37wPwnlaWRE9lUcNajEXFi5guY2zdRvf5m87cD1MV7Tz3RnJcK\nYZvnq/t9ykYen0pWWaUJcOcWXD+DOZ3B9zqwf/YXJLAT+Hdqd4LqYITl032YNfGe+2/NAeeQ3xhA\nVx7VwEivwd5Rjnwvgy5pcWWXBfSygB12AA8o62DOF/RwsGCP0VShcQ7Vvfswh4dQw744G9KDdkGQ\nlja3j//P2TaGxbCaKwtTEDQjk+OI4m+W4TM//lERovjUj30cdz50+4m8zHvff+C//Xt/BuBqkae2\n+IiIQWypFktm3JhGIOzLSrLZ2zigjX+zgxtVlZl3Jdk2oLHZMwfV7O7WLchaoxb2od9JnnsG9t6D\n2rAfHsIeH5PYyeVU+rcWn/sosm++DPXUTbr3N8aUaZytocoK+bN7MMtSeFfrW324jsJq16B74WAK\nB5cqlH2N7mlFvXv7Gp3TEjqvUO500L17SYHzMqd1dnIB1ckIFllV9GwdHhAMyXuw4rQ5PCQo5XIp\njjlvLr4opYLUHrrfJ0fA172RBb5VFPK8AsBL/8Zfwmd/4hMAFD71r38cdz546/rX3NskD7eOaIMQ\n+9Y+zjs8bnuNbx1RRVE4/7GwyTv4LT0YEFQ17nkZ+NZ6MiZIbK/XUPEHsJ1/y/Yk4rjy/eSWZL4k\n3iqLf6l+X2y3CgI67JwiScA86Po3lPQ9RUAnqH6v7hkdfs8tl6KEziMWbto+6Vfz8176qU+/b3bu\nm//Hd/EH/+O/kvUjYjstzthjOaexWFWk58DvXcnrC3x5bmUU83dFtTbw4Te49tHvNvjL0X4iNjgc\ny+xMRBRT9/tQgwHclBJt9vx8q6ZEQwcgOgexn+EcRMQxcPR5zzJ7OwSRLEtJ9unxaKP6pIYD+Msp\nqXKHRJCvKnFYAXJ8zc5E0A5q0KdODr0uQWlb+gSxTsuG3WtzAtH0ed7PNdfeW0XFOWqhubHGlAqw\ndbe5PoHtzw7vndInO2nqYqDej8UOcJDEnPEr5ifWfHmcrdvKf+Vn6iq9kp2JJOQYUSFr+PCQRK24\nHZUmFKXjilzwkTEeAsen5J9yxwEdKsu9riTl/Pkl1ISqldgZAxcBls7JsYDe8VXkGwcFb58XVHHm\nZFcQ9WUBxXZy7Mq5CnvJS1/4FD73b/5leO/f3zWnovZkrbEtFpDTjNtKheOwj6a7HVm7W3nXVwj6\nvd3YFr/EGg0N+lZsc1kDJqm7uzSOF77L2jis1cMChLxu9WBA6JfQt1nv7dD6C/o8KEtUj05gXngW\nuJxTQq8s4UcDqiR3M6o4p4msOTfoQZ9PySfrd+t9UiuqUuc51HgErNbwztHvMSefEWNG03wXZaDy\ndUTnSmWZPNMbti+2j97hc//WZ/DSF36E1tyPfwJ3fmi7P/ekQfQve+//o+jvv+W9/0fv+YDvcLAQ\nxcaDGC2QxnmygXyMUERsvADUE97qEQ1AxASgNPRw0FBq1MNBXVXmjTwWFOgSh86t6rYMcRBp9vek\n4siBoz0/R/L8c/CzOfxqvSG8In1+UfcHNoeH9P+P/BBwfN5o5eHTBG7UhZ6uUB2MoNcVYBRcJ4FL\nNXRusb7RoV7AI+otaAoHXThUgwTKemRHC1T7PepT6ACdlwR19J7EepYrqvhM59S6685t+Mtp7VCG\nFgi0wXvhSzLHSCWpOOuxyA3PiV+tCIIUFPjawjQsEqOyDL/2e790PUIUL/09wDtSIW9VbKHUlesl\nHsL92/bwbhuqFt7Z6sixQxmLXaSZKFY3xFe0kfYvG2qNoWrWUDZVitqxhR6qIrqX50g+8CywzmFP\nz2GeukkG8PQczK0xH3sR/tU3Cebf66Ca9Ehc4s9exfLHP47u8Zp4LSHIrg5HcJkmPjQA29XonhTw\niYIzGun5Gr5joPKw2ThX9zE8nxFnBoCaL0N2P6XkCgB1+wbsK6/D7JIDwv0rfVE0hGniDUj3emBe\nkVx3SHAoo+G9D8/+ZZ1RDvZDKYVf+/3/5P0R3Gknmq7oMEAXvrlJb/1YHNzwd1qO6obYWCS21oZI\nxtWttjPbON92pTHOuMe/zY5u27GM5kIP+nK/da/bFJuK9gVJbIU+9Ly5aubyWUvic6GNhqBp2LEM\nCARfVaL+KZBtYyhL3ukAZUG2LerlG1eXWeREpQm43yV/Ztt9Bq5IEET3+tpEnlpidno4DKiMx4ht\nPibQ3/q+UqRmHXMAo4CEemuvxPaZ8ZgQYdsc8Cv2fQCbCUxscT6j9dkQdgp7sPTuvkKtPu7Y0Hj9\nCpErcVxDEkGqi8EuA6AuAZ0OWBhM9/uwQc3cBxEdX4QWVlqLUBOrqHNVn4PruHLfDtQawcHb2YxY\nUA7vn8hTPWHNQHgj2I2QEu01sXH+alMEVt6KAuZ4fTS6ccS/0ZqH9u9xspGRiHIt0RrXvS4FI0H4\nqBFYBR+o0f3hMXac9y6zuytFHDMcAFlKkP9eVwopLHiW3HmKkGdakwLzckkJQ4ZvM8VFa1lzYEjs\nOiBNtCIO9pK0SpAmATlI/oS9uCA/OUtF3IltYJx4krmN5yjeZ6LX39c1twX90jiP9sdjmxyCr3Zi\nMRYfa1zrVaNVMHnH9o590Kj39VWD/VAWOmah5Lhww/9Obt2kvZW7Fgz6QFlJdxcAlIxJSMhQOmOE\nGAneERrVWqhelxKBWhEqotuhIDqobgviZdgHzi6gxiPSkihKqH5PYgo1GcHP5iRc1+tC9Xuw5xeE\nGuz1gCwlOx4VrOQZ43sFNJ/Z1n2Kx5f+6Ffw4qe3C8W+Jzi3UuppAIgD6DB++70c7z2NwGdpQCTc\n5gTEC3YDntFy2uSBCFxrydC0YbYMtysL2PPzWggr9OsVIx1uUByseOsChKIQqK3Av7sd4bD6qiJY\nRQjQ/XQGe3K6tS8hB9DJnadqvvTpGeAd7Hdfpmz4x16E/sRHYO8/hFrl0G8dA2cXMKsSer6Cvlwi\nOabzTB9ewOQeZllRFbDyqLoG1SBB97UzKG6JUFArBMVZpEmfmqUnhqowAHCwC3Owj+qNu4FfFmBj\nZUWQ2uEAKkuR3HlKKnq6R98VuKz3pHwKUPZ9HRrK58T7gtahEp/VVcLVSvjr1zWYk2UvLsUI0Rsq\nBKDVxlppQMABEgIJwnON414FKfNe4INxwosFrRiSF2/UvizIILLgGL/nKGmRPPcMJRjCb7CSqMAg\nI1iSPaH1pEej2vlTCtXrb6J6eAT93B1Ub9wlVIWjQMDs78F+92WqoMzmUOsC6ZvHMGdzqH4fw2/f\nhyotzDQnwboshZmtYTsGynpK2JQePlGUoCldrfbYMdB5CX0xhxv1oFYF7OEEar6EKiu4/R3pq6oH\nhN7A+RTJM08RZ5UhPoslQVNDtp7vp+73RYwnDu58WQVHwEqFu753BNHV3W5Q3Vxv3M/3PLzfXFPh\nXgLY6BtZw1BNnXRKN9ckf1agabGeRPx/OW6gWTCPkt+PN6GI3wfv61ZgQXRt6/mG8yHBMb3VUWH7\n2NYY4PY8SiuysQHG5osSZmen/ly0nqVNyGIpgku63xfIq8oycgI7Hdrgva+hn1pT+AUNAAAgAElE\nQVQ3kAfUUpG40N66mj6Q5+JkqmDLPB9HK+gsrZXj87pHOSd6G+ccwQK37kfXCW9sj3BsN5uJuNcG\nXYVHXPXYNtqJIESCS6FyIQlshnLyvIbPEsett+nkhCAnhi0yRUYSizGvOkvJfrINjiB89vi0/n5Y\nz7rfp3Uy6KMtbqUHg1ojIRosgLkBjUd4TqLgz15cEkospeoNyrIWLsyIA+6LgvQ9wvz4PA90lEQE\nxWpfKOKpayPvS/WJ129ZB4bb9iA57/j1hgbI9VIIGtSjiGYSUwiuCpQZci2HC9DNtnBao2tKNLh/\nMf0R2kAF2yjBT6/XRNnwnMWwXU6YlZTs4facbdqALwtZ/w3nnhMY4R41/L2ApmHaB4uGAlzpVeT3\n9LrQgz7sdEp+oLWE6HGhLSvb/bC+lNHwSxIC40Shny/g84KqzFqLAB5coKlE690vFoTE5HkKNpT9\ncxU40L4MPeK9g7TybMPhk7R+LdY84gDrfbB3DfpViCsEfRNohFclCHneAUCoTboV9HLBjX1G5ivz\n2mlfE/vBATkjCEC+3xznhPsodo/9kpAIkkA5wOVZeNHs78EVpCrPiEMXhDclgA7fNeMx3MWlaDO5\n9RpuOhdRMl9VFKMoTfFJ0ETCipCBPnTlUXs7oVNNSomW+YKSMmVJQbJozpQkVncxo331Ylpz7q2l\n72UpCYJqAz0ehsJO6KzkiTplHx1LwRKAtNRk/jj58k04fdxtBYDQ/OJ7sm28V070LyulvtD+D8B/\n/h6P9+4HP2jCQw2LPjbE4f32EFhFVHkGIHBY7nHMY5vhbYiFhSxV29ll/k18XrFRjg13Ww6/7Sg1\nBKK2nAMAVPcf0OujEWUhRQAjBe4fwX3nz6kF1YOHBINQCvpijuLODnByDrVcIzuaYfnhG9CFQ/rg\nHGZVIjtewBQOXgHlzTGSixx2kFEF23pSsVWKVByLCm7YA9Y53GQAXNDDl9x5CnpnQmIF1hK3q9+n\nByPP4ddrqNjRSJNGsIKwEbkQeCPw2cRJ5ew8Z/izTPpmxup9TzLitdTIZntP3OwoYyg8n1ZihzlA\nMUy73Y9QXgtDDwaSNADqQI8VtBvfjbK4cQbb7ExCe4yxJF3qrJyS4yS3bgrkVXc68hk3m4V+0pTt\nNDdvULX/9bui+OjzHJr7RAIE6VcavtchePWgS5txWUJVDkg0cZwBFAcDdO/PYNYWZlWhe7xGcpkT\nXWBFEHC9rmBmOdygQ2tLKRKsKCrYW/vw/S7U8Vm9qaVpyORquDPi8ajREKrfI/V4DjIDrFeqRMFx\nV4GLpbodggTxfQ4cTntOQkIMSVW9Hqnmb+FZPslobMgbnQdqoa+mAFWobIbnK1yQrEl6M3IY2g5x\nywGVQC+iCWw4opHQkDgf4fw3RAXja3NWhPXafPKGYFBcnQUFAY2Nj4PNqqzRQQJRq7c6VlTmSrRb\nrUMfaxKzcuu19GOHC0nP1aoWdSqKwEkl6LcviiAcVtRCkFzJCdBbQttUIpLYsBPaNBTR+b7xPWo7\n64310E5+XNdQiiqk7NTzeZUFtUMBGsmYjfNRkcBh20l0tnE/pJ8z20xQ0MzJZjml6P1tmhdxld6X\nRcPuMyIHoDXsQ1V7Y907asHIKu9uvRa6igQR7ORyEhNoVI50v0/OHgAzGYst5b3AzWYwkzFYgFQl\nQZU3qi6JLktZSnJzAzkECCJK1nEIdjjxqtIkaLrUx23oDHDLF96D+L60RMWawn7RM3pdgXTosiHX\n5mqV8G1JSfLVmp0LYvtDgY+rr3fLfW5fAyfv47mSYB6gJDH7ayF5wol1CeZj/n6kaeAWq3oe29fS\nRkdyNTxW7ee3lkvpAsIt2iixExKQaUrXHOyFYlFWbQR5BdDzIGhB5ptaC+8c7ZVJQnSpPCfhTkcV\nVu54oIYDWq+LJdxiher+A2rZFGwy0hRuPqdjR+rojBCSexXrwrC/4Zj7viVJcVWy592O+JhZuvk+\nI4/a96Yd9HICLn6NER1RgoDFYvmYbLd0SAJvG+2C2UYM4GtUQWP+gObvhSSAWyyk0Cd0Dg7U42o6\nIHYv7m3NSTg9pLjDnp1DKUWaOmGPpSq4J55yWJNuOoU7PiXfap3Tv60lFAQjbodDCuSNgb33EO78\nnAJrbhs7HsKeXZC/vwoiwyH56HNq/yaJxSylhIPW9TV5J7GXJK5beybvxRxoxwnux433Knf3VwHc\n2fL6s+/xeO96KGMoo8E9eouoWtF66BpQjFDeF/GKCFYlvIWYFxMca84mea4AxRAdNgS9HrWlCFk+\nl+dIbt2EPT6h4ImzImEz3OBWR9CzGDZEbXhqSB+sFS6twHmjIFxlKUG5g2BU9fAIyXPPABeXVDHb\n3xMeAy4ukQUn0kxG8Mag9+YliZwYA68n8N0U6bSAXuRwnRR6toQdUqVHlRXcuAc4B322QnU4hjmb\nw++Oibe6MwLOLuicNXFwkKXEnemSiiiJE9QZXh8gkFQh0nCXM2kpxg+BYihmaNPEXBskCVWtg1Oq\nA2z8OgY3qJf7FSBKvmr1ioz6bAIQOFADasMBAQe9ER++XXESThtAWcPQe1IgaHw+gwElD87Pt/L+\n3XIJbKnMC88+VmsdjWBPTuT12Fk0B/vUngOkKs9wbx84yeKErKhVlqkq6MN9uFfehL5xABQl1MNT\nYG8CtVzD7QyRnS6hSov0bAmfGviEApTkcg1vFFSi4TIDDZCyIz/j1kOtc6hO4NcEiJm/cwP+1bfA\nAhN6OACqCvb4tIZQliQQo7KMEja9LnSSkALkckXGlCfJOVpHLJASWrb5ooSfz8P9yKSqee1BDVBf\ns2rxtnztrMnYVlFu2cD49Q2ooncANpNPjU1lC3yR13VbxRloJp7k80AD4t2muDQC5IjX3P59AEKn\niCGTGzBwgYc6QKW1AjRnpqO5ZYg7JeJUQyeAFduZmiOiWKFqyP9WRgdnOpwrx7xhT/IODfrExryp\nJmzvcdDC6xxcRQOwMc+OWynFAXwbaup9817GkPSiKXDH9sUxpO+KwYFlDT+uBcKYjygVtmA7mYcc\nJxTjyv+2YS8uNyCXviikmiFzlGXUT5ft9GJByc2QhKTXVkLVio9pz89JWGpGwb5OEul1z3ufWxO3\nniHBnHxlfrBbrWt7UxBaJn4OSZyzNacBVUPXXzbuHT+H8RwKDS5OUMT9fa9rHfL62NZLvsUX3aZ/\nI+eD6LkP7Qvlc/4KPyDMwQaXlJPg7PNFFJHYT5PkK8PBBdFYQ70baJp3MrRqzoWq6WK635cqttjN\nGPWoDSz/TtBfUCl1RtAhaJb5i8TrkEQVQld3E1BZKlVqPRxQctzauvd1SkllQuRQMtE72iMpcE/h\nyxbnVyrunHwor5z3+D69rR7HOx3RnretLz1QxwYbCSWjAB09G9s0LbwHVPOY27oCXKVHsBXy3aID\n+Kqs96pYCLB1HhtQ5vhtLszwHnwFDLxBWUnq5BX5lKCAWSugpPvmZvM6weU8rSVOnhgDNR5DWQc/\npwo4QsJP9XvQ1tZdeLKUUBHLFYnSHR3Ts6GUdL0QKmJRSEIBWtdtj8Me3ta94XvCxS/xWx3Q0Dvh\nub9ivNcg+u947/+njYlW6m++x+O96+GtFYdkozrDow2riA2yVoCpF4bPo02eA/OQzW4oHbccUDMa\nUQ827zf69Op+H9XDI1rIOxOBOvAm2VDEYy5mS4xK9yjbLf31Akca4QHmCk+jShqy4PbkFPqTHwVO\nTkmJFoA7PYOejFEdH8Mc7gNFCXv0iIJsS/3e1HwJvzOGPzqhNgiG2hu4SR/mrWP43THS774Bf+cG\nBdDew2UJTFkhuXsMPxpQsA3QMSdjmrOyAiriR2A0DIJQuQheqF4PJgRB9OAV0iLLz2ZQ3U6oEpB6\nJObU15P5eubGIdzpmTgc8P5a4dwbfQDXrWw2Q3licRPUjm8s4ACAAnLOOrNAQuS8tJ1lPRoRTCpA\nwVSobvDvu8UCWC4b/C496MFeFA0O9zZuJYtIcLLCnZ8TJyv0tgQiIZQkqkw5JyJlKkmpuf1gAL0z\nQXXvPpKn78CdX5BoCQB3QuvPX06hVmtgPAKsh16uKav91CGUczAnU/hhH+r0Av7mHvS6gusmUMsc\nqqxg94aAA3QQk0BZwY169NpsAfXwlLg73E/44hJ6d6cW8wFq6G6/D6zXcGcXtNZWa/per0tr1dqQ\nAV3RMdnAhp6D/Cyr5ZJ40qdnjTl6r2NyOMaXvvnLG69/5Td+F1/7x79Hf8Sb3jZ+clskqM05i6su\n/D1AstyNEUMZW04B90QXRzUOzEOSMuYbxc9SrB/B5xAHk3EiiAMAsZNBJExoONFoO66xDoAEowC4\nP67u9aCcawQS7IDIOQKAr0VKmLdbQ2Vd5Cg6uMLW/NQ8D8nUcM7hGW04a+xYRjz7xjVZiy/83E/g\niz/742iPyeF447V3OyaHY3zpj35lI/D6yq//Dr72j39vE9kVkrzkoNRVpbpNVGifFsOpkxTCjfSu\n7vV7Bb+0PeJ12dYE0KMRJREDVL9t9+A8vCPRShEZdDX1gPf7q34jFo1yy6UkdQUlYJ38X6gSIShQ\n3X4TgRChD9x6DazXoT2kC5V5SvIwtF/OyRggtOpz67x2EnVdOTM747BG01o4S3jP0a3lBG+aSZLA\nO7+R2PrCz/+193fNbbNz/+0/x1d//Z/ViS22CRwAtm0cEHy+sjFfcu1BqG5r8iRObPNxQwIDzm1w\nluNA3lcV8Y35t9h/DEEOrXVamyjLzcApjEbg1OZmRsl18Ru3CEa1r5v3I5/bRtLd5zlVIZmeZG1T\nwHU6F+0PZQzRcPKcEBVZaMEW1rdKExE6U0rR+unVVDOVpY2Aj05ONfcqpQFQtVv3enDLJb7w85/H\nF3/281vXy5OOyeEY//AP/kE0+XRfv/Ibv4uv/sbvkt0HNvdTQFTFAYRnJwFsi6OsVECoRcU6tO4x\nf5TtElfhA7WhDS0GIHvuRpGmZYeEDpIk29cbFxOvCuZbg/zI2pbqyVgq47rbJaHg+aIhlsfFPT0c\n1BpT1kKPx0QBiPZNnxfU+u/8gpKDO5Maneo9If56LBycihYJGFkRtAMkWF4shc7oHfsC3H4yJOiL\nzWTqF37u8/jiz31+w1+aHNRt5jam8kmExf6/GttEAXjC2otmq5hYZAiveq9x7EiMhoMYAA0RkvrD\ndSbJ3LpJrX+2iMTIx4ORFmGsIOnPgTNnHrcFg/GC3SpYFV9WLHQgvLs6M2MO9gHvYU/PkDz/HLDO\nyVDu7cJPSRHb9zoCYRSoXGJIit4YuH4Xqqwo6FYKakHCTwCoQbtWFMzfPAROzghmDgC9Lvx0JplQ\n1Qv8yLIgp8Q5eoBYqGcyJnW+opCgRiBMaYBHrqn9iLcWX/r6f3Z9QhSReERdGWwKzsRCQo17cJUI\nRVDUpj6Rve33OiQP4qyp2ZlQf1R2CqP3NtZMcESAqNqXJI3nJbl1E9XDo1pRud+H6nRgz89FeMLs\n7gpUlo9rdnYoeI4Ma3LrJnxZUks474l3HYyW3t+DPXoE/eILULMlOSnDPtRyTZDs5ZoUuK2DZz6v\nUigPh0imQXhusSbujPfwiabq9MkFsEc9itViRcdaBapAeD78mpRG1Xwpzo+3jgw9i0Tt78LP5pJx\nh1bS0xXOk8MUnBxvLSW3hgO4y5k8U48ToninoyEstqUis3VEQfA2W3bliINrztBG4n5v950N28aO\nURwY8XOzDfoWn2+7GhQF5G2b3RZ1ehy6Jz4vPehvJD3bmWmgdsB1lm6pDFCl2RVlDUHUqiHS1DhW\nS/10o/rfnr9oLrYiBVr35doEdyIxO6YMcbX9cSJ21LorqkDz/tUKdOOgZtva2iby1Ni/4uQMd2kI\nLdAa3TmCc6qHA9jLaY1Ka+/BrQqstFfkOdiWfInW9lWCpbL2tqzrhn1mJFyc2IwDREDWk+71JHCW\n8wSgh8Pmeo4RE1dVP7cl3baN9nuaFIfdcnl9a+6lv7e5/gFswMsf40u1g8ptz5MksNuVT+CxtpJ6\n6q6uVGd+R5XDtphdjAJo+ZZXHbO9Z/Mw4zFB+pdL2ecbgmhBnM7nef28hHaDkiBsJRlYI0IQjvws\ncgeQoATOFWfeE+PnXaqEjMaI1/kW/4kV99vrMp6/61pz/8Ff+fsb89t4ZoG6+h+SbletkbZ/3UgW\nbLNxsV2L6KC8vrZVTq8aDD8WgdRIoHfDhrUTRVccj7WHJDDtUq9opim1j988gGruH9YStY4HdxcI\nHOa6n3igt7C6dxBz1eMhdePIsrr7kffE7Z4vtgqpbYiEtffMxyVqW/6HMgb/8A/+wZVr7vq7l/+/\nMAa7Q/zil38BAPD13/pjfP0r/1eo5AYBhDAkE9webLy0amZo4/dCtYX5RQAoqOz15JhxAC0Z6ogb\nU711DwCC8xFVF6LzawdM8d9sbARmpHRDla/d2w0IyYSiJMGufg/VvfvCE/DrnGC6x8cC3VVJQv2d\nqwp2OkfywgfgZwu6DmPgZwsJdtWC2ib48QA4uwTGQ6h5Tkp6eQEkGmqWU/AyW5LaY69DgVJCXBY1\nGgWVvh5gNAVJ55fA7gT+wSPKRjFnMUmgB8TdgTHEwylKCmI6HUqoKwXVzYA1xJC7xQIv/dSn8bmf\n/iy8tRjsDh+zmt7ZGEz6+MUv/20AHl//zW/hG7/znfoh9c2Ne9tGy9XmGOrFjhRt6E6ggEDtgHKi\nxBdlDaMMDzlnBrcZUNXpNKDbDAk04zFsBGdkzpjPc1QPj4jPa4iD75Yk1kUfJqPCAbSsKesoyB6P\nG5wde0IcGBZu8uE5MoeHMg94cAwM+nDTGVSPMq32+69Rj+cAzYfRFAjvjJAez6lfIFd5WSzieAaV\nGPi9CdR0Tt9LDJR1hNgYDuDThK5FaeByDu+pDQyKwFstCkJG5AWJWWhFf5cl/GIJvUNZUBQlJX1m\nOeDCPctz+NkcL33xR6T1y3WsuXjem1XaZsa7WTXUzSpm5MBvrcLI+1rWsfR1fjs+UPy7V8HZpKrj\nmtfC1aV2YO1bUOUW/C2GjAN1BjqGacdBllRDQhWEtQTaAXR83ULfEUegv8FH5YC+4fA5K/BsWCVV\nWw4KfVU27of0PXW2dmzYoeQ5aF3/VcHD2/WyfFcjQirECQhXPCYYABrIBCDav7jjAsPmYsXdbSPA\nT33hNgJoaKJm2IvLRuXVbwsGAzLBzWYS9JF9jKDkwbnkJCGADTpGQxg0nIfu0J4ulUoGToTfbzvj\nNJ91JY5hh+1nbMMfiYILH5BV0p7QOTmunGNURaU/VU1B4qRDXJmWC9sCX2wlh2PIJzu71zbi57Zx\nPqSrIdclaA23GWTGz0UUKDRaaHq3gfCS5Mq2IDz8383n5NhX29vn+Tb8k69BRbDs2Abz/dGKTGMr\ngG4EohFkWGCn4dq4rZnLc6GtScU+th3agDmisg6rCmowqAPGJAW36uN764LIoghpMnw7CLm55VIS\nZd4YKEVJRQ4CYyQnvGugLxp2P9iwjWRbuC8bduAahsxLtFYExRjeZwX8dgAdf2aD+tGwj7Svxh1m\n+DPtdpFyPkoFiDZkbliHIk68xbFG/Psyh/EzbZv25O2C39iXY7g4UAenfAzV6UCPx9L9J95rWWfH\n5TlUQFKIfxr0IHS/DxeSkso5Kr5UFaF2ez0K5KPWfgDE53LTuXShaSdq+bdUUtMYXEBPMPIsvpdb\nqXCAIJUeN/5/GUQvzuf41V/4cuO1xkQwtKrNJeNMkWS6PW2YkWFs8IHiqiEbMMbwtypDDR5Vy9Gp\nW7rUjupj2221jk8X46H73Q3+Rvva+H17UQIh4HHLJbAKhmu9bsrZ53WTdpVm1A+4rGAO96EG1NvZ\n7O1C9UOw08mgzi3ccgWdJFT5dQ5qsaIgRWuo86CoNx4B64IqgWla91e9mMLvTkjMrJORGMbFFPpw\nH34Rqt8LUov0i0VIXJRUGfSuhvGHtg1+tQoZqxH9fr+Pr//WH+Ob//JlqCTBf/VPnwdw8+q5fgdj\ncbnEr/7Cf/P4jD0b43amT0XOXlQVEIMYQ2cj7hNAFaBa2ITXGxkps7tLmbj4mCGw3EjOhHXh8lza\noAFo6AlAqY3+liQktMkrFy5MGDbuAcxQzSoXtAaLArnzc+jdXejDfVRv3oMx1CbOGwO4HOZwn/r/\nOd/4TTVfUpuE3THUdEE9Bgtqq+YPdoAVBbV+NICaLShhtDuhBM/JGXCwB9/vAqs1lNbwFV0vtKY2\nCueXdQuOdQ59sE/rdjSUwFUlCXF7ipL4h90OoBXMHt2Hb/7Ll/GN3/4TQGv82r/6T7evkfc6rgo4\nYmj2tipJFEjHzpccMw5sH5edveq9x1R8pOraPs84IG4nCdrnFcHTpDdqNGr15bTJoQ7H5M2VN82m\ndkHk1LKgYahmirBIVQGRII+vQpuqiOcYnyfDLhtoFLvFcZEgOeK/ceKhPQeNC262zOLXrmI0vacR\n7XdSgZHfqc+34bi011Q8ty3HShwyhhy2qs2MgvGRcxlXtOzFpSAQ4nNut32J1xeLxrA6uyQ1QjAg\nTqM2IqDYCIajdS6oGubRxlPHSZpVvedz9Y2viyvJ8Xz43DaqUo251LU4FBASmboOxvi4UBG8OMw5\nJzD4vDzPmdJgTnl8zxu/65s2of3sXOvw/upA1LdsQxQ8yMtbq7bb+/3Kcfh3w3yZ4UBoUkIBYVhy\nqxIPQJJfG+gsRP5dOL7cZ+l7Wz9jdC1Nvj0HGr4q6wRAGGZnQkJlQLN1GVDTbKLBKEW/WkVro8UH\n9jYgOWo9AQmOeV/k6yhqNXpOzjeSiQCQbkGEVuWmnkP0He/QSN5Igr+IAs7rGkrRPIQkxlWIAZWk\nNfIkWocNWgaPqNIeJ5wkpoj3mvD8Q6mNOd4YIWkFNBNZ7cG2auNZUEqg+tv0NBrrPSrCbLRr1aaB\nIuAWhfb4mIoocyq+6UEPbqUCyiHQUVhkj226tSR+rIOdHfaJPpAXtSioc9LjmRKhXbL9nU6wi4qC\n7TTDBqKabSZf/zrfbG8X0cy23vttWipbxntV5946lFIfvM7jXTl0dNqRAp6cRxKU4aLBmz6AmotW\nFhttU9jIbGQ425Cf+OG3LaPOVexwXGmlEZw6qUJEgyEZIku/pbKwLYCGUtuVM9tGP8pO27MLcQBi\n9Udz46BWvdSaAlnv4VdrEUxT3S58HrhWoW81Ti7gzi/gdobEfU0S+G5GkNjKAns78APKKvnzSwpM\njk+hJiMKoG2Ah1cWajQgyDdnPrtdCqCBuu+cMdT7sN8jnrXSgNZw05kofZvxGMrojc3tiUcECQPQ\nVNuMHd+WI8TGNm5tFa87HdoycQsmWdchCxgLiHELE3t+vgltZb5qC8Inv9/pEMSaLydWKfQEu44d\nFQS410Zf7BiSi+YaJ+eT/rZHj5oOX1WRWuOjE5jdCfxyBTedAafnqB4c0ZqaLwiO7z3UOiQflmsS\npDurz8NP53Sd1sEdn5Kw2CXpE8AQT1qtQ0VbKfmurywlXxYrCrwXS+lBiIM96F3iTavhAP5yRlBw\nRQZeugBkKWVGnQ/Z0jmJ4BUlbXjXJGbH90CeXw5Qkmb+swFT5fUo1d0rKk5c4Ymdwvbv8mjRFbit\nn2Jl9/iYiLLxrc2tUWniAJ//40PECqyhSi6cL65qA83OCiHZ01YOdkXZePYa7Q2VloBYrlFpcRZk\nvwiiVVBaeM+NPaE9t9F6b1cGG/OqDX02XitSadsSUHCVos2XvM6hI5gyI1ziewWIkrgEdvE9bCdt\ngPDvwFON7JUEEJxgtJHNYUROCH5jBBh/hzszAGgEJHyfGQWjR6NQHYvEcEDK2aKuvi2Zg2jPjV4X\nxdot1Czm6fMQex7vEdFzyufE9lPH19T+fEAv0QQ0syZcEdw25/8Pe28ebltS1Qn+IvY+87333Pty\nBMQkFRRFTMjp3YefFlDJ9F4y2VVqW6UUQuYDEjJfWthSopRNSZF8tJJJ8pTHpDRtdatYJUKmWICo\nXZJJSsrgR1MUCCSQ4xvvcM49097Rf0SsFStix7lvuBdtvt7r+/LLd885e++I2CtWrPG3YIw1cshA\nARhpnpT42GGfkgmVVkBnCpJ1hsRt3cihFSFT89hS1+YCuZ1aYxKooIgys/HTbAbnMoxhR7AMnkid\ni51jZRGsS6X8Smd+ffniks9nexFl4/jny24rut3ms5mwTzg6vDXyekFpuLe4/dLuVZKhMe4Fp8oq\nHeioQTeFouDzixyQpjScMu7Tjxs265H4x8kzGzSY8f09VkTDp5rLd5c4P+y/Fcv8FJryjsjJtFiO\nSjBE/mzscQeC1qaAz+ajMgGRfUMtkowL1umFXnKvUfuvJEVnOTkByY6Qv6mAEgNBRwzSL4Pb5zmU\nOGs565aALkkPd+C9fOYaU8V0Kn3LPkr15+CjKCG042pZOUpOoInD7SkK5mcCtiPdl9ogqty29VJK\nuawhG3ThllRSZrqxAvAykAcdOuc4ek5UFMH+nEc7ikQrpR4L4F8AoF38EwCqSAC7TWXpgR0ir9t2\nEV4z56CUEeW5qZLGM5M8POI0AgCVelSqW8qW+zY1gVIL5bVK21RkIfDkOGR0kj+OvYkIlZQgBUqO\nvSyQf89jbLq56Ik4u/8BTjs2ro8qp7t1z0Nx4hTylmgn1u3YWofZDOgvAQ8cg9EK6HWsQUNp4EO3\nMfsLwIay0cBeDxhPYMoSaqELc/yk3bAO1l51OnYMRtsItLbI1XrBGtl6aRHFt+6HPm+PRe5rNhgB\nENMpTKOBcn1QUdB3QjJSAsADgsUOFknyoCbniaqm1gaoqBHwGAAGCNPtdtgKLcHvEsDMTCe+dhrw\nqYpzxpzymAII0x3duPTiok15Hm5VHDyUXph/3+NQHj0OvdDzKN7jMQyArNmwe7nXtTxUugPagRFl\n7TaKo8fYoaJNaXlhOrUgX8tLtpb+kWPWAAbsfRYXoNCyRnJ/waY0ntqw61HeNt4AACAASURBVEnK\nd7dt+WtqU75Naew9jp+CyXOrBDEIizeezcjVgbVbTgm2ZRLZnhVgMrXAZcMtBrzYCfWWu75s5cOf\nwd0fuZffWWB4paLL8yLHcfQZCDzsAW1zcMxNr5OGfJQOykOIrgtkm06knEujQ+ybWB5WWuG41HZT\n2LnItnLzolSylq2kzg2E4F4UMFNT6fgwN61U1EhbIEsBUpnInKpcT9OgPZ5Yy9Vrr/AlBP1u5fuz\npd5iG4eOHITSGnd96B7cfcff2S+kI2BOJInPFxOl0JJzYh6fEZlqDS8p/nG6smo0qynMpEwSuKKL\nqnE5FA9U2XMvz1GO16sODse3MuKfOucDoqi0zjgqJ2tIKeoUdPUwxgLTtds2Ou2yYOR6AKGMV60W\nlHDqkG5A7dri9ZTEfAuxV5RmPpclFxyhAzgVlcaw74VXY/XA5TDG7A7PzZFzZ4JXQ5/zepiwpV8Q\nJGGHdsMq5jKYEcvL6G/bSkonEbwl8KyZzmAB30Je4SwgiL0fZQcFpXxGoCpTeU3CaaEaeRAokA4p\nroEuDZc5xiUXXFImnfHEJ+wA9L3a+RqRfm4KATjZaMJMC1teReMu4WRhWc2Gkhk9FBmupPSTnLsK\nwG7xXA83v+dVgDFWzt35uWpgTIyNorxmltYl2WEl51b40j4zLixiug5R+lne6cxjrkh7RKRhk14Y\nO23kWcb3Jp6S7XnLqvNVotcHuiSVtGau3MA5kKwzs1qDbGazhN0TpeaTrSKcpHpxkbMpdbuNYmPD\ndj5ZXLQt0grNzsNya2SzGRxwn8q0raPe3ASUAaaFwwwQWU+UjeScOGZaVN9RnIrv5r73uZd5nlsO\n2wlL2qmm938C+CCA+9zfp3Z4v7OiAETEMVwcmYuNVarpSKI2kxcspSwkngkgSH3gz+IUr04H5daW\naJEy43QDeW1Q99Xrohw4RosBXSJPfwV0JzpsqF5bLy5w6wOq1/aKnGZvDADX0NynQZqxRWEsNzat\n13Rl2aIuZ5mvtyZk7UeO2xrn4dSmQjYaKI6fhO4vWk9WnnlloShs9Noh2JrRGPrC860hYkqohUVr\nDAHQC01br9Pt2Chlq8V1sSgK6IWe7VGsNcqNjaCWZ8dEXjnhoSfBWTE649Q4Wmel7DjjtBJ6RNOD\nnuhuF5gAVDNaELp61GZFHkBBTRUJNB0i1JLnD8b4dPCiYAWKsxOEV99EKf8ssJXizyltm1LbuG3N\nAw/ZuU6nzKe2h19m62iUgjLGorA7cBXVyKH3LMNsbFpU++MnrLJ3ag1QGnrPMjCZonTGsylKG3Vu\nNFCcXEPu6u0BWIAx6u+ZZVD9JZjhyGbNzmb2UKD2DHCOoaKw9yy8gW/5rcl8avnOoByuW/4fWKeR\nWdvg9d0pDU4NK2UrTFF0WaYP2s/CVFeZVuZeXlXJ3g7oSj5aRCyCg0oa8BStjSg45CltT8rUeJwI\njbPTRmBjAy8aU9ASJFI4gvXisWSVNPFgaSUoVQyWZUqYmfHXzESqpFw7MjCFcR9EkEQ9p1Q+URYW\nE8QZHSmE47OlwdoQt93w3gAcbS4vRwZnYLwI5U93u67tDSplB5VattgpTvclfuT5C2XWmCCVUTor\nysnUOvtyYWw4PmKnIEd0tH/nLrVS4jlwbap8D259shXrIA/a2JDuweti33MIPKQrim6sjOpOG4Xb\nY4xJIcCDKsZVlNrO+kHTd/Hwz3BzMWFmBafSjsf2zBHR6bvv+Dvc9ad/awF37npTzBVnTdvKOUmx\nc1BkefBcI8cFAyq5vcUYCvJ6wPM6Of6iCLxx+Bo8DvpO7ldC5Z6GhrkvV5iTXi71TQ58GJTTdKRf\n7oeKDiwi7Vzq0mrBTCK0f9IhC2+wUblEZS1lWUaWeTA7mVrM+7MM9z/RvJITMhhFNxxIGU88t9ty\n7tQAb3v5b/sPIicbtbzlYUqAQCQcp4435b6L15Hmy04F6VRNtGyrGLyE9h6Raov+0JSN02qFKfZc\nxqFCEELpOKDMjemMyxjC8piZhTnRCqpjsZcCp3NsUwm+iGURkXQAsYyd+vIdLt2IbDvLl22eB2FU\n2M4CudWhex0U6wUY6yWRHcdlejLN3T3z0x/9PO7+yL1Qeb6tnNtpOvcXjDG3GmPeb4x5P4DXnfaK\n3SAyGGQ6g9KcqsCKCoF4iMPGTCdJAzoFQsZpi+JvAEFKoOzxWSFKwRBIn0GqFLxAZI9Xt+u94E6Y\nM4L2yopNdTAmTAuOU7RiJ4BLQ2SD5/zznKHeQ7ayYp/b6wSpHmZrBL1kwZFsWp+tUeaai9HIMrtS\nNqVbazuXqTU4zObAKo1NewCRAW1GI2A8gdLaft9us2Gn8sym0mbae73WNqzy227BTKf2v9kMqtO2\nQGOZtmMYjX1a7uICsvP2ILvg/N1LA6KIvjxgSVmilBdu65IwoGEPNlOaqkPEEbVM0Z2OFWBi7Pxu\nojRSTv9v2lQj4gtWRmUKIODTB9ttnw4ulFO9uMjP1YTACXAaj+7ZdMNsZQXFxgbzD8jr6MD6yi1n\nWBQUztAujUyhXN+0dTQXXegVhrUN61jRtn6lPLWGcjhkw5lb0c2mNvNgwbbRKtc3bS18UcBMp7Zt\nW57BUOS92bB9qRsN+xvnvDFUdjCZQC10rTNnOrUlCLC8qDJte11vbFo0+JmrbyVjidbF8SqKAnpp\nwfag3q3UsyhlK06jJ4rr5oJsA8czQdQldY9UCQul6yYviIxG/jyNuiyfoaP2bPT/uLUH4B2XcQq7\nTOGcS6TcuAyMVDpxeFMV7XGv+fHz5J6lCA+l00fODQmcQ8+UtawyU4g/kyne8h3K+81xcOwGmdnM\n970+HR+TkhOXU0XpruyMJSOUvosNQOLbSHZWNHDhHKVWj3yLyCljRmMLxAUgSKGl67MsVNiE3KU2\nWHxGS1kpUiVtG6Exv6NsuW+vH43YOUqyl96xarX8Oou1jLsqFDGKfJ6LVPpIhYuieZymqzNXd+nO\nLAkORHzt1p5SJuUZIo0kLlWIANh2RJQKLP9OUSJNk0jWzbLut+GdmmY6CfiE3su2mWSAzYJzxmWc\nzqsyHcisII2bnEvsFIv6jDeaPp2adEvSYd19iI8qJWRxOji84wNAoJOyY8dFt2W5iAzgEH+yrIrL\nFJV2Z7EJnT9wuo9YR5VllX3G904Fp5w+TzwXXCszkXYhwytJ4ryk1nIVmeP2Cu8pEWigcabOFBkl\n9unB6b7NzA/untLmIIC6mAdLKrWk3+Y5B1uIxwLjuxRnWlQKqjttF8AbeJ6T9oqrq+exUAmCcC5w\n9x/Xdo/vHzvHk+UapZVfDgyMP57OPO/SNJzzmrN/SEaVLiC0NQrO1liXCt6l+J5LbqmOm76fQzs1\noj+ulPpflVI/r5T6eQBv3uH9zoxc5EUaGFwn5lJ7Ki/I1bplKyt+EQWTBBEYcU0Q6ZM1I24cHnnQ\ne/hUo4n84osq6UHMYGWRPDwBf4CaycTeg4biPOl0KJQi7YsPDNo4VDPgGKxYW/fKa69no7zOi0me\noOA37bZFfNwcWMFKPRbbLeheD8XmwPYRbFigML1kUy90f8ktgQL1eTaDoY3gTabWgC6NRUCm/rwU\nnXGgQWY0AjYG1su1tWXrYPPcRjKp7+9s5uqtZ96B0Otag2k2czW11qj+jpHckCmFNqpDt4sslHOu\nJQy3oFWQxuF9IIyPbpevoRo8wAoZM5uxgJTvu9za4vESf8UACwCQP+bR3rMnIyjwhy0B6BUnT7pU\nGteKTSqTM5/uIw9Hm+rma/WKR456wBX3H1yPSU2HSGb7fpICQ+00zNo6iocfgZlOUBw7bh0qAMzG\nJsqHHgGjazseMIOhb1k1tUjcnKkwK4CitPui4wToLG1wknPIlg74esri5EnLm9NZUCu0I4oNxESG\nQ0AxH0qDxPEiO+fkoRI/Nq4Dig+QOGIlfz/PqJXGuM5C40k8J4hERgomf0yOIoHyLGvEAtkvQVyi\n8STHLedKZ4lI663s6XgOkqRsEBGXeC3YWUHfx5E2San3/x1QLmOU3OB58xwrAscBQOjolUTntgOI\niZVCVtTpngnFW7VbFWc5kHCMkMNdRPlIPyClzL5XcvZl1lEd8XhMKpFNRAYPyiIAaJTpuAGiNUW4\nRblPPHbet+REFXqIdPawshy3Z5MRMHov7XYwFlN6niYDoqI4RlkJQebBblBQBqLCeSEyQFJETg5j\n0sq5+B0blyLSKOV8hR9FVJVT392YON2aAiYREFFggDoeZOOUnDKqGr0k3uKaUZFmK3XOisNRyk+p\nJ0s9gpwibpy63Xb87O7La58LPUV5wy/xfoIyMDfewGlLsjkT9xPrROOtOHmCulV9+kyksyFhTAWy\nKs7ikkakc+TzeBHyEWPkkEwW82QHKuw+k/dmm4X0JgqukSEnMgQ4MCHmIXEyTFE4vIeC25nJKKwZ\nj60dpDNfu+6eUZxaYx2Q5ymj1c4hJ3tBS5KylB1PTp4aV7cMnfma/1i/osyITFt+pLPdlHZviQym\nwCgvbb9u3ev5bE0qA2QcCZHpQe9SZkyQ43Q0Aju35znzBO305L0JwN8BuNT9vWeH9zsj6vW7uOkd\nLwUQ1QoKkgc5Fb0DSNaPBBtV1iNMQ4EU/yZQcty/qb5P9tuldClK4wAQpuW6NBBkma83KArMHno4\nmBM3D5/NGEkScLXWWyPezLRZVaNpW0RtbUGvWETmJDgZbGTIuA3GXm6uMchhpoYR8pSmTTuFms5g\nHGJeubYOSvmx/XW1Na5GI9uSKs+sMaMV0GiiPH4C2iFxl2vr0O2WTafdGvkm9lsj2wZrOrNttLQC\nWi1gPLaGeH/JflYUNvrZbEJ1u7hq7/di3wuuArJs23qGMyXb4srXbd3z8S+6DAfRGihuWeNSMKn3\nc+CFyzJbO9TMYcb2t4wEKvgpVC40R7wo7YXfn+vjR8AThMYYeN7jtBXiWVf/NnvgQV/7Y6h2bBL0\nIwfAjgyVZSjHQ4/MCCB/1MUo19Z99IlSFKktTZRmx6l3RcFzMJMp0HbAJ5lQDLWGGQ65PZtedBHo\nyYTT+gkESmttDXy3pwiFsRwObV9rcu5kNk2cU7WLwjpwxmPuDa06bdu/PMugel3rQGo2HODYBOXa\nOrKVFVz1Y9+HfS+8GqYsd6VuKzDYjOH6JP5OUCW9TBrcwiBJpaBV6puoHk62y+IHVY2nID0b8Jk0\n0gk5T8bG6dRKA5xiGjqEOKI2nVWu9b1OvbEQ8K2yPXYlsmxlP8qxEN/O63mqlE+ZoznJNaN3J9Y3\nle3k31GUcpboPS+dt8G9E8r0bhA7uNy6c01z5ByWSreZ+GhnGFEV79Vdl6zxpP6ezOclG9pSCZX1\n0ATGFWBFiBIAfi/CELROO/FgGldZcPovv/tINjMWBkRrSyAom+EUalFbDMDPWaS3qk4HcD2IdafF\n6bIwokZc6WT/V9YdonvKHtL8nhyxoVcUIV8BPqUz1See0tFTWAi7QQm5IKO3EuSII63ivQVzSJWm\nkPEnszsA1s+4blO0QAtT7yNMhqKAyjWfX/zOE3gHwb62Fwf7d175jAxsSDA71mtj55/xPeWpdNHM\nppYP4TNcrL7p9jc5L2kcbs8xOvdsxiUSvqSh8A4q0k1ITtDa8phKP67pJOTNyLDhlOjSeHkT8ceu\nkThDg3r0OCNr3nVCf4L2iOaB0zVyPupmw++/yI4InFyBwZ376HLKIWzCfaHyhke4li3txDlarK1z\nxooZb+O0jfhS7r3AYScwqmLZwN0OaH0EiJ0sd+B1KHy/cWNMcP4SvoiMQnPquWtxG2eABK1haR4S\nZ0QJjJRtytjmkapAg5/NxUq92xhznfj7CcaYr5zzDc+Q/sdn/sHccHU6c7wCzR57T6Xi5NKWYsOS\nGYLuE/cVTKAfM817CbThpIDLtPVkxsi6FF3pdNgwonGoZpMNbQaOEi0W4nkTomJljvEclHK1a1M/\nHvZsTwNQEjrc7WXKAog5Y4aenS0vc22sardsyjcA3V/C7OGjXEMGwNYybw6sAayUbZsFwEymFp17\nNGIAK4paW8CgMujjpzIL7qIXF21D+MkU+UUX4LYP/yJ+4PJLT5P3uT3N5bnoAOBDTtRizQNYSr6H\n6J5xfRzzUdSWQApdbssCBAK9ovyIewGogCwQT6hGbhGoRyNbz0zRVjoUSMi5ehriGTqUqe2D9EaT\nUR2Qztg5RPXRtA+lMZNddCHKE6dAdZG6ZVtNFWvrds9kGfd0Lzc2kF10IczmwPIGzbXRQDkYIn/M\no2wa93RqSxj2rACzGcqNTYcG2bT/zjL7vCyzRj4s7xNSKq01IQbf/onX4weu/P4d8dz9X3nQfO4v\nvwggchbGMiY+/FKHYbTOFX7c5vBgvjnNAVMBk6LPhHw7LUCTlJOJdhyVMZuyur/o+VKh04m68OiZ\nleuFLGZeplTZ6LugTRN5/08z/uC3Uunebs6R43b1wOUMLPaUpz8Jj3nCo3bMc5//6y/BlGXFQX06\n40mC5ATRD/jMlm3bDu2UEmuXGrNs44LS+LM+BgIT96UMmIpjxKUQ87xO9/7icVDdYuxE3W5e81L6\nY4dNis+BYA5nZBBHz5dgdk95xpPwmMfvkOe++pD53Ce/CMBUgyKRU+uMSJwzwf7a7t3QeszpbMHG\nArWQSuz91D1ZDginupRXVQA+f0+bRj4LdUMgCTLLjxSOH5jSBkdms+S5P48HUvOJzwD5NxtqkQys\nGMjRWs/L/km9I89zyvHcxTvkuQcdzyUCcTqsbU6ug/x3NObY2TV37RIkdbfwi6zKM8Dc9Trdvo5b\nWQGhLlrRO4Obz5ezrG9GmBrB8yaizj7a16nnMsBevMe2cXhLTKC5es02INTAmcu5nUaiH1RKvRTA\nP7i/fw7Addv8flfJpqqUgQLCaRCUHiG+DyKFgE2BnYaMFghJRNEKd+gGvcOkwgdUoweRNypIzyiE\n0UWbR2kXnRwHXp1g404mAVNydF2mejnmokiMrJWhtDOTe+8ZAFvT2WkHNVgUNTSTCadHSARMA0C7\nlmMqz7mFQnHypK9Voz6bpoTqdqyysLbOBrFqt6HIW0Re9aKwTgbXLsgANko5m9nPlLb3mc6soXT+\neZg99DCy8/bYyLbbTLMHH4KsAdkJBR4zqbjLqLE7VGQtlu5UU6XoupQAk4JXIgoH6U4CXCROvTQi\ny0HyX0Wo0r1ixE7iRRfhKgcDUfdjPOpiWQRee7qPEZ5nHqvzXNr9NbX3IJ4gpaAsRJrQkJUalec2\no0HZ3oRmbR26v2jrqKcTBsvj/q2ldUwZegczW5uP4RBoNKyjRivodsvWXLvot8o0yhMnbTaE88RT\nKp+Z+JY6KrNRbrRaVlEh9Fr5zF0g25v8SPVA3C7dF6h+FisrqUOlLKoHDqVCy/TROYdSLAO5z3KU\nsrWtAS3GWFFUaDxRvTWBNoaRd1evrkOAq0A+Jp5pLxIp2CK6Q/cwRqXlOtViUrQ8fk4q4h9F2GX0\nphLNkmMRv737I/fi03/+9zDTya4Bi73t4Lu2jYqlMrAAcY6Urp+0cKD4spMzNKDPwhgFkFxfOv8B\nhNFL9x3L0KloZUJjlJEWY6wcmBP1tP8owyjddlPjiCcpsTbrSmYh6VaL0zYrwHIxsJnDg+Eo8ngc\n7J9K2znB45XoYYqi93D3HX9nUduN2TWQp1tfcSRpbM0zZralSIbMNaATDulAtyPgQ1F/nzIyZMcN\nuCw84ntDayqNoEzBGDIAElFxIHDM8m8BBqPiYBGlUwv8nwDsMcsYmVuih8cpyqFeXHUkBWcAvB4r\n5xjIwOhdsAGZ0qHivZYgBhZTCoc/vfOqUQlmly0thV+KjI6YgrkRCJrIRpRlHkmHYXQ2SD6izKmk\nASxlzsy2aiLEavnsAKQ4cpop11XEtuN0JQlKgVY8AFJzWQ70XoLMh8Q7MkXkgOKSh4bNAhSRaPuF\n9uOTgc5mAxgicMhInYFSs0tnA0CB9RKZ3ct68zaONwb3nJNpcqZgdjutif6fYdtavdT999Qd3u+s\nSNYJxHVTNtQfCeA4YkFpt/KezltO95C9+0gplP31oCj1xPBhxb+XBq0QgpSGkPXF5nXfZ/0l782X\nNUA648b2oBQHpYDShDn/ktzcsuW+HbtTIopTa9bQ0jpA4Csn0xDExAm4cmPDGhHaHr4MRtZuc8sl\nMvjLwYCNetrs2UUX2r7BxtZDk1FWTqZAUdia1oZLGx+NbVq4NAazzLY1atiWSL6P3MTWz/aXUBw/\naQWUM6CpV+RukqwroRS6Sl/PRLpNORza3zvJzGBgEsgthcwoU4GEUWovVkkBYWaz8PnC0ZMi3e2C\nPcYAZ2bEfQ9JwJabg0rNI/ctFDzOc6DntFqAsvymO202mqm1m2o0uU6H1jFbWmKFkFIay6F9v8Wx\n43zY09iL9XUbfZ5Mfc2RUihOrlmnTm6jz+WW7XtN/ZxVI7et06jWqCitMAeARm6xAJb71jEynaEc\nbDkkes09ILPz9iAA75DvbocUyLjgi8jIo+fGz55njNDvEko0105H6WiVz+QY5UEfgTvx9STX1Jw6\nXvm5jnooR+jUiiI1LoVa9rCEUtUMIufEgVKeb+Tz5hlusi7OmLRcp3ef2pfzIv/x91GN3NwxxY7a\n3Y7siohHQEpVztnQmAv5gtPl5L1inoN38AbPM4naVp1VPpOgPsH9EeoHXCtqfF9W5nFU5WaQeQXM\nB+Vza2INgNI7UkUtL5/PTh5JuZhqX6TyBo+RDfpGDhjjsE6knNHBmSPTSWXaZHgm+B7R9k9/NgXv\nh/aJnDMZ7QmU4B1Rat/R+UD/jmhunXTEi8wjkufyvOr8oXs2mgHwIZ/13S7fl5V0Sqd3ciGoJ2dD\nImcMHDaQ5jxbd7usHwKo6Lf8PvlcnniDW9S2siN+Mg3PcnLUOd2XvmOMHjJ2aH+k1pbWROgMsZ5R\nqfMXBrr9h5ObjSa3D0zJhu8o0bvcOo1jN3WpxASYc+5VnApkb9C+gjBWWy0OIASyP5Kp7BQzFuRX\nvkMzmVTXkHS7sgBM6TGVBgNbBsotdlVVVjt+U7noZhTLZSfrKtkRYk1s+z7Dv9W9nnvfOnAcA74k\nhgDUKqnhW1uhgSz3aFlUgficvhHzMq9ZUTA2hi1fEUFT4uXT2BE7NaJvNsa8lP4D8Mod3g8AoJR6\nvVLq2Gl/SIwSpe/ZDa6Dl0qo1+4B6YV1wkAyP7fNEBQII/IMA2wIyvvpXs8Lm1bLH+xlYdOdIxAL\njiqXBfdZpr/j/sAwDnFStsOQAAnaAqkF0XbHsOVw6KOlbq50ULMwJG8hEHhoaIzlaBS0/uB0Ymfk\nqqZFFCweOQpMbdumcmODa1l129ZhqzxnQAND3tPxBOVozM81M4vkTXXbdP9yOLQgYtOJRRUcjZCt\nrLCQ070ee912RJExQUaujBQzmFuC5MFZ6SvuQJFihSUG5pFRA0KMnTdGegd6YYGvzc4/r+KYYY8k\nIcg6I4Nql/zDqdhOKqnOsB4OgzkFB79y6KUuHUf3emF9tYt0WlCLU9CdNkefi/X1EOmR9pfYT6rZ\ngO507F4jwJxG7hV4Y5At9Hg97LhtdgX1uyxOrVn+ajZA2QFmakEnipNrKNfWYYh/xzbFHKUztEtb\ni1+eWoNqNqpe7V0kiXTJFCm4Km+E+5cnPScKIwyJMLI6q15nSq98nqmTQP7OHXpxdg1QPbj9wR9F\nPIVSZuXClH8nDQg7N6EYuj3L2RKMVWF8hpIcR0ynSSWNlcPwy9Ib7c44Ce4nwx7SSbFdNFZml+y2\n0kmODnJMkHEvzjp2QLAzQlfGWonuAl551l6RZCwPAZ6k8tyi3NOzOCtiGijolbRWEcmvOCEdmFhQ\nsxjNOzBeyBCiveIi26w7yAwkeT9p1MpsIjEOIG3ckeyN50S8zV0b6OdZFiiMchwcmZ5bh+8MOQEs\nRgCsKIsgHZoVSnKQfqdS8oGKIySgKILKNb6NZni2CV7k2vggmjcnuu0wDyhIIaOC3GVFvq/S9+eW\nOmXsoAlQ/N08pO5HCN+MnSIdZc2md864/UjGviQZRadxSyM7Xj/AGyselNbLzGCNpFEGBPqMoWis\n0BcDXI3UWeFkoJlO/Ps5k8yTs8lOOZN7yf02z4h3n8v3Feo4kdOG5UMEGkv7XWKFwK55Mj1fronY\n20pbo5sBNmVwhxDng/PFvyeV57yHCSSWryW5SMGJeK70d+xsnLpaZFqL+LdlYQ1p2ituLwb6jLzW\nrWc5GoWAoaR7aB+IDM5BVI1w3eva7yJ9mfVDypISMpvRuSOH1TzakRFtjPlI9NGOI9FKqafjDAHK\n+AAhb0zkVWYPd6tVOcgqdSLuOntgNCqfE8lDmMeRNzg9TG4uPkBJsEQvI1tZ8QI6UX9QxqmhLoUD\n2OYQkxveKZoBWBX9jFoWCSYNvWhWSNKGY4MqYahJz6dqWSAzOwHfh7Acj7kHcbm5aQ3w4RCKxtu1\nyNvSw0dGthmPbWuokyedh7gEgRjY6OLAruXWlm/dNLPAU/ZA2oV0blLgnfAPvFNO2AV99aRgVR4B\nM8hgoE1KyryI3CRrUij92UUY2JCm54gDnt6B5KHi2HFAaWvoKWXrmQmJkeqOXaYDAK4vzy64gJ8v\n2w1J0BdGpZR/O8GkXA073ZOjgWJ/0vitkjjjdlhSEWTQO+HFl/VD5WTqecop3rT3y8HQrp2TGUrZ\nVlq617UR79HYZVRMQS0SAOsYM6VBub5pPdZF4QzsEsWJk7ZG3PFDuTVCsTkIOgfsJiUVv+iwpMhV\noNhIkrwChBGAWEGU15KMKEIFfN7vZYZAYDzyf7p6qAXP8yUigTEZR92jdQ6ifFJGCsMhUD6lISTW\nL/g+TnGXeztWHCJliubCRntZVKN4NAcyoOO5qihqr1SQxXI6A/+sidvJzbzDWBpebFCL1GLpiElF\n01OPkaBzsWEym4NyH2cCSJJKVQyg6JzjrFA5CtY1ykzjVkKshE7ZyVjkmAAAIABJREFUoAyM7O2c\nGLGjH15J5fTysgh4hcccGzxlNF+Sj5mP1gb7DrBOo4RyG5CMjoloOt9jmi4r+47RNtkN2jk6mZwc\nseVxEY9u816Cs5ieBfeOnROXI3HOQNcLC25/lsl7V/hdKvvx3ESJg+52t1XUK72EaX/GvZjdvXiP\npOYfZxIpFfQTptIBklFBW6GUbONBuvpr6SxLRBoBVM7H1L3mfrdbFJ2DqtXyWYUyc0r8ppxMkzoO\ny0KSeyLVXRIHs8rCBnfo99vo8qyfSxnhOtmgLKNWtw4/RmSmVhxsZQRCKQz9ytkZZ24kiEsZyGnk\nnlnJmhQlVh7oK2wHF5x7tObOwSLLxUgG2zRx7WWXmCfg9MHB0NsU8ozaRh5KHfNMggXnxKFKqU8a\nY56hlDoJgOCuFYAlAO86l3u6+14E4KcBvAXAS073e05jofx5qmdG6N2JAbTiDSxrZkIGq/62EkXk\nWmYVfkYpIk6QpGrcirV1UHP6rL9ka0VH46RSxEipCcEpx0tGBbdIEEaUdvUaEl2U08LlnCQirUN3\nLIfDimFHwFmZq5kuRyNbI4IQtdTeNLMcAgRrKlt8GFeTTaBcqtUCJi6tiJQX1xaE1l01mvb3w6EV\nLkXJ6SVU471rBo0wpFOHHtepizoL+jd9XlFGy8KnGhK/6SzsLQ74GigJBNFswAxE7dTMo8FKZYc8\nkBzxpShJ3CohRdMpyi2bvqyXllAcP2EPgeU+9x0H/B7LzttjDVLhuOGan5UV20otAgqz4D4epIwB\ndnQGmAKybofWTPIX7xkymidTJ3htfZrdgxMYZEBpPZTF+rorjxhaVPgGCWVroFSwBFyNme52ba/E\nqRvD8RN2DIOBzUTotIN12QnFiPCf/ujnzwxsi3gsNv7okJOyKL5XwoNN/07W6UrDj/eH9gAzs1ka\nTVfWjZJRLQ+5OLpH05B8I2rRkveQhzJFE2XttshgolZ+bOzy2Nwz6LexbGaDo/TgU+75Qa2hGE+l\n3EKOOzq8qa6O70XIuW5dVl9wFVYPXA4Au4II31vu4tA7rwcQAu7Id2/3afR+SHkpC+iW/Z7PC7H+\n8b347BYo1rrX89cBQWp1ql7Qd8EoOXNpHtCXmc3sGUWyNzJMpeyO6/tkFkXc9YN/l+IPuHPUoeAG\nwEOA5RVZUxifx70et8MKB6uhMhVlAU39evOHIY6ArEtVWcYgQLTGPL6sCZTVNVy99nLPc8u7wXO9\nQM4FIE/stHG9X2X6aRRdDuWVb1kW/Ib0vDkZDAB8rTz9TfzgdKkKD8b85f7vo3yllzsJ2R04yxPy\nQt5bnudQ2tdcy3upsLazQpFcJ6Rt3jsCS6LSCpO6CMQOnVh3Bqp6L/1U1kTTvcQ7Jj0VyvfqJZAn\nlee7021lqYOb3/UKGOPA7O78HBjzJ8Vbbj7BPCaT9PdlWFPNayCcU7HNUPktwPzOupssTZF7wY2Z\nUqqJn2SXFt3tWp0mnsNsatOrJ9O5GSuBfRXbUqXnE4rAB2373DzIKSgBxwJbJsHvfK3OgnWx2RXR\nz6RDNnp/BllwfwZQJocRRdMpSOXOcQ/aqbY9W88JnVsptWiM2VBK/Zwx5gPi8581xvyn01z75wAu\nSnz1BgAvBPBaAH0AnzHGnJ+6x8P3HTVrRyMvtVK4490fw53v+rj14Li2QlJR0r1u0BojVlj4mpjE\nBgfAyNoxCmLQXkgY9EnmSB248muBuMyCk9oDbYNwy6jQ8yjBrBQRp6btseKbXXgBiocf8YI7ATzB\noBVlwWh6hHqarazYVO25KVRekbQe3x4K14eaPGumKPhwCxCh85zTuvdfdw0OvOI5QV9HAOhfsISL\nLrng9C6lbejh+46atWMblbW7832fxJ2/+5dVI2GeUJDvXSr2s7Btj8obSdR2djhE6IcxP6k859+E\nhkdameXhkQMj+i6ZAunuRbViqpFzitC8d81pTlTPSlR6kIftUBOtAKy2UaD5p/hfKq18QEfrRIJU\nL9qe50wi4mrTxJ0S3evCjMbYf/012P8Lz/DZDu73u8Fz23UhCCc4R5ZIHiQZJud0pvedo4jO473K\n9/PGlPo7mk+MPJ/aP/TvWHEM+Ci+bhvE/Mp4U+2mUvwHhHtyu3VIzHc7RXvu8MQ1h++5ZceI8BWe\nkzwgQQAxJ1tGXpOa/3Z8KGWcTHmkVPt5IFNy/WaJLgR0+5RcOdN3tN29SPZ0u6BuGsH9xVxpzbjN\nz9nqX9ucMYFxnnIoyfeSqDW2zudGupOHRNQV99wVnrv3a+aGq3557vcBn23znlKo6oHjjNZE7tV5\n94w/i3XA3HdLqXS12Altx4dyLwKBHhT/TjcbkKVvlXvEj43aDMW/r+wpeR/6zbxzOzGnCsI0UP1N\nrIO4a76jcm7e38JI3Y5iYGK6V1AGsZ3unzqbTmMrxMZt3JZRBglTDsyY5tkXgW5F95uz52LKlvs2\naAiEDj2hp1bG4HBwYidgMPd5Z7HkzWjfAth2DYI1cvv88KffPJfnzikSbYzZcP//AAAopVbc39sa\n0O43z0l9rpS6EsAUwEEAKwA6SqnXAfjjuG3W2rENbKtcGuMNWOkdEn0TA/Aj8ohFniWOMvPBQ9Hq\nKczUeDS9RtPXvPBzTfXFS+VQePPj7wBwtDXwQJFH1JigrZUk6uVcjsfp/plNSmX1iI1B7+y4DsAY\nFA8/ItZK8Vik4JUe9HIytcjH7rnFqVOsqARGDAvoRnA/X9cAHj+liJjZDCXJXhGdV40m/uz3/hp3\nvvvj7ktv4N3+l2/ARZdcUFmrs6G1o+u44erXhaiYLqU8iHi5NbXvv+T+ijHFzgreuBQhERubapZU\nHqb/BBFv14KJPIFSsJTSwJde88JHizhiTundiVIHO5iqQGdlkHjDzUMqvSSMrDJjLCJujABK/O28\nnqrZtAa9+B2nAiES6uQRdRkM0qkR9GQXa8qR+HICrvWe+tZcuu1Q1alf8WQSONrMdII7Dt+JOw7f\nWXlXh+9+0455bi5FytRpDWggbbhI5YVT18SBFd83VnYSB1twAJ9OMZW/kd9FcjD8vWy6awK+rkRr\nZWq2NBYospkySIhvuUWL5j6gJP/OJK2+Mj6gcqDzc8ljnujhXnlH0qmhT99Ga8ckzk/KYGI5LPvU\nBn2YBa9tM/8gq0ZGGmQUD/Dv0yh/3USAJ7n3Lh3N/DxhAAT8IMZGmB4qU2xscT/XBIKwyvPgXrrd\nCgFvAHvWUcRjNuWxlFtbrvRjq6qEkvNUAEXFCnlgyEbvPdh3JsGPMtuB+iLL7TSdBCU6tIbJlqG7\nyXPkYEi0BgKiSO02Tup5jlduDSp1QhcZqzhmUvsNQBxEqWQr0OVkXMc9tucZo4m1iJ1T/LzIocn6\nY7wWZWF1pNTzUrDTOksbd1FGUGCASHlK2W8i+4h4GUDA3zRO5vE4si4igrHDJq7V3TFJgzVeK4rC\nitKN07YVAxihPVjzskAF5FiOAeBaZpuuH9kFQVjbnwuMFyQzJ0wZ7CHSMSmleZ7xKJ1CFSege2dl\nIhODMCqkTEoZ4ZyV6rIZ6DfeEaUCXdnLsjAaHiydKz8JM2ddRyakHWXShuHxVxwBHhfiTJxj51QT\nrZR6s1Lqt92/nwPg2wC+opT6hXO5HwAYYz5jjHmFMeYWAL8DYMsYc0uy73RKOYv+5sWSaTliUwbR\nDbeJ5DVU48hgAuLgIORf6pUbGAKzmU1pFYYOU1kw2jf3qUwoeZWUj2h+ZjxOGtAM/06p3MNhCHzl\nam+CFOrpNkyiff0fg6E0/XxUw9X70LpQja4pOY0kOBCNcb13bYpstuRAr8hoanhUUVLGuMifGrD3\neqHSCThlJPeKsfuM1mC3SNZrU41upS4ZYBR3q7hVU5ykIi5bEkgwEnoeC4iycM4bX+sfKFvOmcB1\nVhKwzhjfH1mSMTy+oLZl7gIoBrWg65P/h1f2dK8XoCxq1xaKn+lI93q+Tt/xKaFNBnupdIAUOguE\nur2QnAyhkkl8pV2qt61T0748QrwPL7xLnyauNCyC9wJKV3fPPcCj9aF3tWuUeIY0bJJRBQLgkNek\nlF6pDNO9pNJXubEOvrd1Sc1gDKVwplXGLhVguqUAFAseFaMCJ+4RgzImIxo0R7qXjowQcUYQeB0p\nTXZCDsAsrgWPn0n/pv9YqQmV27gWPKhbj8edun5eun681jugSj0bDYkMhzidOm94wyQec+zIEfxT\nSYcMlJuobEB+JwxLi5IvnNMERkaRcwfYJMfDZ5hU6Elpd2dJORoFCM1QOjDy+Xqlw77B4jkMAmYM\nK+kA+NwISgtIKRYOACv/QiTtbZW61H5J7mN3L5dCLpHE5fdyXTl9V0R04vrrcya3Z4IyDfjzgcaV\nTBEl2k5WkAEU82UZpvNzrS5fV1buFbwzMX5aCza4CCcmQo83pZA5c9auFMEeYL5zoDJPiDWSmS2p\n3857fsTD8rNAZ5a3FJ/xeiptdTZO3U5H+6VjMmhHGDjehOP/dGtxNmRM8I4DmUO6hDA647Fz0EiW\nU8zLSiAA10jHs/JfpzMGAJaZvjTA8JpUnCO0bjrzMs4FuCReDzsB5VLQmbddijUZ/E4vpfEEhqnO\nAK2Da2IbiIKO3NHFYSdxK9QYeJHmB6sbZktLHsxYlrk4W4ydPC4Lc67+48avO+2I78sQ9Ow0Mu5c\ngcUeDeDV7t+vh61fvhi23dWOSCn1eHfvjlLqV5VS1QII16rEG1tCWOnMtdNRLCgrZBLtM9y1tLGo\nEJ1Ttml8AjyBGDsGGyuOn6gYOnRtAPIVRxFSBrXbZPw8pdizVGn3IQ5BCTxj08+zQDiT8aDbrdB4\nSim+xrCHOgAucEYV/9QxrybPV+FBdGhTFxsbFjiq1WLvFHvJJq7ugq4zxkYLSQkRtdzsoSNh51oV\nES8wcMMuKpdBapHY4PxcwQN88McIhIJYEEUCW0Z3UlFUTqd0DhnGARDv3BuLziEzJ/1f1oXEArHC\nE8bYw6AUEXeaS7fLrc/ovsTvhMAOYxgowg7KK94yhZCNYME/9iECLTXaI3w4ibRuuV6EEK6yDNQq\niw1AaWSREy2LohBwnljj65S0k0G63fYK2C7ym322CQ7s5GEgDzCl0orTvHHNU+ikB1cabUJGcXSP\njNBWy+4DdqYlxhrtgTilzyM2z0flpTlV6vXidM14PnIu8Xek+M5rZSTnInklZbALhbtCCeCmGMW1\neo1B+mwQz9/FyKCRtYExwqyUCeyYUMn3zeeVcJTIOlG57wLHBRCtT3WdgyilWE9ybOtmwxmlYToo\ngDByEzs7dMY8UM6JPMVKYSqSSeezynMPwDmbWd1E+44Tck8F+9bxpO9IoLc1WmPlXLZjqhDxkzMu\nKYJI36m8UdkrdI5ZR5PYo7vBd84ZYR+g/Ps0IQAsZRowT1UcVNWAQ4r4/UVzDAw+wK9DfL1ARCeZ\nl1wLHQJx8jjFnk3qoYk1DfZN5cuE8wl+T8kOF9bIycJxSPkudWk5nthBmFrnOHJP0dwsC/eXGzPr\nKwl9wD97F0Bh55GUK1LnSZwjVEYZyrIGO5NZjsWYBjrzemssc4DAER60OxMyVXe71ch2THJ9yyLI\nJK2cubSP5DkmvoPOrG4ZvzP3dzmZhiVxjSavBUrbRYhtIifDyG4BwECInL0r9o7EskjhQ1BgkDIz\nmIdSWRTuGdzaUq6VWJPC6XW0JiRzWIafprvPuULffc0YUyqlzgPwRNiUa6OU+vo53o/JGPNV2Lro\n1879UVlW6lDMdMbp1+U4ql2JvdrwSloIAuXAP2IhJl9O0GTe3rMCzkUMICn+LPIkVUCpdBZ4piXY\nChlNuuNqpF36T+HaR5UbG4GHlQ/JSBHR7TZ7uzlS2OkAWWbrQmNj3qVWUHQ3rp3iJRKpFbQh2IA3\nBjAFg6wACA5JAn1ho10otWY2tcY4KR+Ucjsccj02Oy+kENlNIuVj4qMyOs8BqVyKdxukjXKKUCNc\nJ62ATKSURDzqn23fAfEKr39CUGZLC6GTYjYLwNio3jpb7qMcbAUphzBhqQLzINUL0/gmgjcHA8Dx\nBafZu4MjOByyKAXVzUmmdhJPm6lIwXQKHylR3DM9WidbC5ZzpFh3OkDp0Yb5Oc5rKY1ySgVSec7O\nC1/SEcoT4kvjwKgCT/EuUf+CJRy+55bK53e85y/wZ+/7i2papzR8Y9rGEwt1mu9Pdx/KrqD3N8eb\nHZQsEFgXGVMpng/k7pzofjx3+W/iZxqDEemzKeNTOiDKqNwgYZjL1Ntgfk45p/TjUFlzcnQ7o167\n+nsZiRS/23/dNThw3TUV47J/wc7bq/UvWMLhu9/k7+146Y53fQx3vvvjIc8Zr/xxarC4JpCBjsxs\nFoEKpt+ryjKYOSm0HMEC/H6O3r+ZVVv0BLxFYE9xVF10EggU7CgtvFI3FzkBrIxz8xcYDYETUfAl\njREKnvcEDojVN+ak78Irv3Qu+r6u0fpy1kUe3jvQpao8v//gs7H/JT9Ref6u8lxEd7z74748y42H\n116mH9N+OQ2ALKWLxrW/ARaBfIecWuzX3bYDE+BtgreD/U8YL5ReGvMZA4CKc3ceRdkzAe/FYE8R\nMeK6ilqnyflLHTjP0/dL7cN43BTUiFNoE0COyVRZ+c50hv0ve4aVcxHtGs99+s2Vz+9498dx53s/\naYcjwACDTAlHnJlTIjwfhJMq2Ldlsa1PgPFeIgRt48B1U7XDnA4vwRUjbBnd6wZ6G4Cw1EDuE1em\nKHV7Cz4YOtBZLwJA2Ed8BugsCD5yuaAziuNyTvlsCr7E+nsAejiZhjw0x4D2c50x4LF8Do2BdFIz\nnfizle5zBnLuXI3oC93/fx7AR41HJ/vONUmNSBrGKm9YoC9pVLjvKqlcsVFNHh/nveF6FJVGOJTp\nV3RP3W6zgKaaVABhrr4Aikod3lQDbVvogDcf16oOh76e2G1SNmZFI3SUZVI5YyNZGEKp6CTXuZFx\nIw8BFdZsBRtJ2XpnNHzbJGjlAQJo7aleSAr0eBOwF9B7M/n/YjOZovTeUXcfSq3LlpZQbo3Czb+b\nJJ0KAsQhpSDF75sUATY25QYngzcGVBKUipAQyAhdTwa0rDMrB4MQ+G5c2B7bVBvt3iWhV9NY+bnu\nvWYXXAAzsu2ebPuoQfAOgxRFrawxQcIwrsmh1O4o7Z1BAbVA7XaHDIzhZwYpkPQuxN5kQxxwYzRs\noKt22PqOlCbjDoDAUHd191wz6BwlXJ7BB0rmU0p3SFSHz2NPAWykPo8Mw8rf8nfbGHJnBegx9/l+\nnyQVSWKVOPXwLJ0RlZpNQERFhLK8HZiN3KtKIagPlYY582yolFbSxMm5FUX0WJFSGkB6jQMvfKR5\n3fnuj+PO93wifA6Aw/fcsivYD6/+sTewYhTIfDkXUhpL8W7nZUtETg0pA1Smw/OBDO843TCqZ5ap\n0fEaJwHPYh6n/RuBVtlU7jRycyXKFzkLUtcACGtJyZEjldh4jCosYaEoGMt9iUov505O2tgpm/gN\n4Y2E/CgcJ5Hz5s73fAJ3HL6zsu93i+duWH19oBsFWRw0fpeeGZThuf9LYyc2hlmHEd0tKqjk8vdS\niRdGn/2N2K9RIMQ7VYR+Iw1oIVMDWSXR/2kM0rCXjkBEfDiZJPVJ/j5lOAsZJh0SVt8VRr2qgmnF\nDoh4zVUWnve0TjHmS0pWxGCqd77nE6ETxY33HZ/6jV3DuAEwdz/GQS+mlNMjIV/mUSAP5C0If0XI\ndcLXqQZU3PfNps8IAwJ9iM6vcmOjKhOj8cn0aEzTDh29sMA6YJA5SEGJwvMxZ6uwvBEBIsoW7LRR\nbo0Yg4TPmMLtc2OSwbAKjkEZBmFSdhs7IUxZkYsS4f6jv/8pz3PC6bMdxs25pnN/QSn1CIB/B+DN\nAKCUeg+AS8/xfmdPnIpgay9KilJJEodtcODpjPPxzXhsDx0K/8uUZ6kYuGdyaF/UB3JUUAnEbvLG\nwBqbZjrhHofzBF45GPhaaUoPEcwXGL3CYycPnLj2Jz6MzCj8Plvuc9pZcG/J/HHajRgv37rbtesg\nvO5mPPbp2LSepioQdFukBfdE9n5C+acIuwXPmtq+vjTesuDDv9i09WjZcv+sFfJtyaXVZQs9rs8A\n7MGrHJAbpwTJVEW6nFLdZzPEIC6yfi8GB7MfeqOAUiUpJZxTYypOnzLgYTOd+b6USrn3U/qWbHQN\nIt7hQSoUx46h3Njwde9ybPRvGZGPFBQ7juhQkC1JALc/S+tF5bSfWdhaoywCAyOuG2IFwUWu6YCh\nw4oOFZXnXKJA9dOAkwWU5kWHkzDIAAR9tQHY8c7J0NgRyfQ7KZOk1/9MI9CRkhmk6gGh0jjHATW3\nNnPeONznlHbKvB7JBjk2Kc8rMkrel64nxUJeJ2VjbPSzwSD2B9dhNtJrVxbVtaP7SYoN+dQYhLxK\nvlNjMNeRIaMIu+wkDNLa6W85LiAod5CpewD8+SXXVjhryEgy0wm3o6PPt00VJUW90fQOxoRCGyA5\nx6SUiMY2K4plpW1VfDnhfLjfV9Y/8czAGaqot3MmdJg4hTWKhoKcgzo4m+0X1ewTjpbTPiB5LObN\ne7A0VR52z5BpjMksk10kkruc4TOLMGtIPxPnokyjjecQ7HtyVItsGUL9tZlNYW/uZOsi5uM5KnOU\n+sv/jpX9ZjMoQ5SOsoqsmueYJJJnbDTn4Df0T3qfToaxYQFnmND5JjMx6LyNIq0qz8N0bCmHyVCi\n50ojn5wS8Rkk1oj/TzqUXNu4tdZOSYl5J7KNmOIU7Dn3Cv4v95vYf8ngCMlHY5At9xkUmAFjaS/H\nqdWyfp5sC7dmXEqZ575fvPs7xr1QGfX0drXHTg+n8lXGgUmtB62JMVAucGamE6imKMUjPUrgTBBo\nc8Dr9N1kGu5Dsf8ruCLwhjytL82TPyPnjNShhM5Jcj3WaSs17Ak6JyPaGHMEwPcD+B5jzJfcx/8B\nwDkDi53lADjaozttm/PebCL22ANzlL2yCKKH/BKlh80YC4pEefx08EjGECRrpZkZta2HCHo3zxOG\nsIzLaQ+cphTVPcf1KmXhjVyarw7/5trbsggMN+q1y4dMpMBwXW9ghE2QUhTmGQ5U/wAgrdy61DP6\njsDUdLzOsu6VNmSzGd6fFHRRH2sSNcU7IlOC+maXw6GP2I7HAbK17rS5jozWnww5CcxVcYDQXATg\nS4WEIOXUFvGdvI4BTppNFm5eyXTtypqhgA5q/qODQeUNZP0l/iy1v3S7Db2w4Meiq8oYzzPzDi0A\nXoi6vSIBvKgORh4G0stPnlDdbrPCwrU9IrpTSV+czTziNjnj6BAnZSOOjBUF191LYzxoj7ULNBer\nIPiRDg8HIskXKWNPRm3k57TG/M7zijIzl2LDQipkQuGr9OBN3UqkyVcAW3RVgZPXBbTd2sm5y2iP\nqPWuUBzNn/d9pEyln59u91QpDxBKWOW+u+kkpGGJqBqfA5Fhwul6zrChOlUzmXiligB1svBs8VH7\nRH5jwvkdAADJbLBYwYnWusK7kRGaNDwS9wnGHe21ALdB6QCfJSaqHeTUTDIoEhSPLVmbF/NAYOyU\nIR9FUSHSM4Lxy7nGUUz5nPjzHVLcIrLyXkxYq1vBxoijiIlzSc6TzsVKZso8ZyVHBaN02hRgJ1GC\nFzkzSjos3P/ZEUj8GvPPdmuts+AslOPmf8YO9tnMOy/kd+Qo0L6sjiPX5ASPgwDxuSLWSaZzx0CU\n4XgiXY0CI8IJdLr61LMidz+uGc8i+epItVohtg19XgEb06ENIfcbycLYmSWvdc8uTq2xTl8Oh85A\nVA5/pVXly/iscGvmI9LWaUk6NRnxrJuJck6W97JvvQgIMlG0mfQtGo4D+lJ5HgbZOh1fKhCfj7wG\nwhEjspcC/dA9QwY77LhzsFPM3YsN59hhJdfKzUU6fzhrV2a9bEPnGomGMWbDGDMRf99njDl1rvc7\nG+otd3Hjb/1r3PzeG3D1M55oN59QsrLlfvK6AwefXfksSB2KBbjWoEx19gjPMRYrdSTGYP/LnlFV\n6JIXG753oLzRRpDKB4FKScZ1Hpv9110TCimh5BBJsIxizda8MlCYXAPn7VeUQh4ZRLrbxX5XO6Db\n7bkRBI6sA+wdD4wfidQson5BirRbC5Xn9plkFDmk8WDzuf/v+8l9OPQ7L8eNb/s59Jar2HRnS71+\nF4eOHMShd16PfS/aG3jkg8PdRZoJDfHAq/dzfS0Z3pz+LMbM1wvwGzOdIFtZ8QiDRDJFjNLcnOcw\nxXOUEsSZEQQ6Q46G6QyESEhRWdVq2ewOoQRzacGWL1EgHpDv38xmKDc3vXdbHpp0gMjDuBCKtHTi\nRMjNutvFgVc9zx9OERCPalrep7RHM51xDbg0dAMvuQQGo+V1NdnEc8/7hafb50eI59z+ztHe516G\nQ++8HoeOvGJXeA6Ad27JqGmksOx/2TN4TIEyLdddZgOwgRJFQd3f+6+7xiuTnE0QZgoElFIKhFNy\nf6KujUmOMXG4ViIYSvnxxXNLKL+B0SMPfOGI4fHFBsI8D7T8XbweOsP+l//z8HfxHBNKbuCwQigX\n9l9/jb9PrKTtchQ6JlluIqOp9A4kWFGM6UDX0FkSZAlEBii/A7G3pSEVdEFwv5EItAACnqdzghWy\nlIN9OvGZBw0RIRTj4Ple/2z+nb8BRdDDtP+4vWbF+QDwniWZG8xDnmfCcRKkIUZ8xOMT97OyNc3D\nQZTG6RhybpU9m9hbQfnSbpJzzsp1UXmO5/38jwffB5fERndCTsXn4v7rhb7kjJzU+/X6mFgDdux6\n+RSche4zljlyzBQ06Xarjk5ydpSFl+siaDDPQCZZQOdWsBQuU4TliFwTLtkQPOjOPaWrZ400gva/\n/J+n5Y+T/UFnGzfGpGPG0YHrnyUGHb0/FyE/I336TKkU4JhAUn7tv/7ZLqOyCPYnlQjQHDlwI3km\njpZOJ/5sQMSP5PAiW0BGfeH1QcJFoujpgYPPDmVlyvnijOAEfcepAAAgAElEQVQYpJaNzLJgOfG8\nf/MTVn8bjfy7LguRqeeR/Em3C2qcCVnfyf39111jdcnhkL8LsnBoiNIGcURdH8rJlOUdnTtUmkHP\nNa6lcLimJnS8xDJM6CYc6KLgnc78c09D52xE/1PS4NQQtx48gtte87u4+yP3uk3rp8I9yaRwMAb7\nX/bMIHQPgD0PsVdINWyP2gpCXEpQJZQ/3W5boUACl8aS8k47RZ7Gw0JMthKKDi/Z55mY48B114RM\nlDBe2CvmNmwQmYx/p5RP64sEYDkccgE+t/Ux4SFDaX1BL9CoBjhIj0ocyOSdpfRPeiZ5tnS3m7zu\nrv98F249eAS3HjyCwUYamfpsaLA2xG2v/l3cdsN7cdd/udsfFJQaDSdgJCiEzrD/538i7cWMIjP8\neeRhK06eZITB7aKBFM0/8ArRhp3uX/h3p/Lc93UGWMEkBEiKytr6/ob3UFKmhfIpcWY6wYHrrrFO\nK/H+faRIez52486WFgKeoPvQegVpVZHiW47G2P/Sp7MTgFKemGcjREp5OAYe7AjVvRyNKhGJcmQj\n0qY0OHDds/ggio0dqbzdfefnHM+9E4O1nbdW6y33rOPmd16O1WuvCI1kGqvSAfgKjy+K2Evyqc9R\nFNTJiwBYg/7vlDtGDZXkFLhqir6XS5X7yf9Hv6/sZ6mUGpMEmwnuFxm53hlTBi3MyLg7cP2zvHOQ\n5PC8McafxcZZWaTHF0dCyQiSBlPK0QHgwMuvQSWN1MnY1QOXWx45chC9flUROVtinjty0PIcDZ+U\nHKeUHLjuGnD2B0WL4rnGZ4nOfOaQyPBQjSavGTkhYQwrRrw+7jpaH8IgSYGvMfAaLVezWg7AEQ7H\nu0GEUM7DGBx4+TN5LvNSK+dFtWm/cccAwSPUlzpwjkhnAxnistsGnSdyvjS+UkQ0aWwJHg6iPfSZ\nkMMVHqbz3BisXnsFDh05iJsOv2x3eE46qF+86t+JBEcVZ7909AfzkfqezFiTqNRufoDdV6FjQiez\nWGjtOcAhM3/E/j8QOYJIDnMKKn1HhtJwGKCeMwK7kwuVd5AAlqKxUxYIZ/UJ+UWZIgeue1ZwFvvF\nM5X9VUk5lsahlOvyXUSZMpV+w+IdsN4qHUEve6aYazjPfS/a6xzUuyTniOeOHMTqC64K9X8xJtpX\nfPa6fUpljvPK6AKZKN7FgeuuqeqDdE/hZJHdRZLkDN/9L3smX8sgcsK4D875mHdkRo7jcZLrlcdR\nph4B/oqxyjZuzM9Oth+47ppAXwTAWTgyMyTQSR2FDhfNcjPAw6B5kJwUZV+UOcIlC8Sj7j2qVovP\nCQrklJMpZzKuHnjqGfHcuQKL/X+CzHTm60sl4AH9XzAmR/NKgZAnPNd0OPJhOvehJgQeiZ/piFO3\n56XTiN/bw1sov+4AUSi4fkE1mxYtOQ9BJCrpsQIRO1A4KjUY1sAh8AqV5wyOxuBTrkCfa2ciZuX/\nU2SUHQAWWCMemymNX3P6f8rQdwJBZdofQMLbpvKcDwuqYQhqIqO/sRt1XFohiAADyBYXLTw+zU8a\nYsY4gBe/hip3qM8Jj6oEkCOExKCVVVHAjEbIVlZsj3BaP8nrUS1jRQF1/86WlqxQ5Bopw1kHZjxm\nMDI5H66ZTvCURAEHvJA00xBp0Rrwvo9yzJeMAplIHbPjLFhRgFJBxCdAt59NgwNMAr14ZaGaBhqA\nlJUCcIIMH5ky5wzYIIVO7o1diNAMTg1w68EjFdkSPE8gx8IYD0YjZQl50al1B82JHXyaHXdJxUk4\nxwKEUKmok9dX+yhSDNjDShNfryvjr/w7jqjTmKPPK3ue90UJEwOluGuDyEMpygiAJDhJZV3kOtJ8\nYkVFOiDi9ZWfRXNOKmVyzdxv7/7IvdaRDCSR3M+WmOdo7PR47q5QwswSEfbUWONsAVOgHIVZUswn\n9LM5gGoBoirAitG26XaRwU3PJSRniswE4EnyPcTzi/kmygxgh6O7X+Wsjvr/0hgrAGAyqq8dsKJ0\nOqZkJpHc39E6xPNI8h7fOGF4u6jr3Xd+Dnd/5F6oRhPv+Js3Vud0ljRYG+LWV76nwi8qj+YWj0dm\nACQMkUC/kpTao1LeS9niZEhc12udylVHRDjAKFIsn+e+91keDhtAK1Qcc8xfCSTvaOwxin0gY0kX\nKgVIZuKcSiJwszz1zll+huDh4L7EZwwiKvZ5nK0RBLGqZ8Fdf/Jp3PWhewBjdkfOrQ1x242/F8gb\nBmFNvSseuDCkhRPvdDYDg/DGoFhA+I7c7+NINDlz4r0fjM9lDqhGswKwynNJ7XPSG6SzWuiV8W8r\nYxK1y5WsJcCD+Tk7htG6YyPZeD2FwGR5PHI5Z7O0TQMEPM3jMgIXSDjX/PcmOINo7e7+8Gdw94c/\nAyiVRHIn+q6MRBPJmjnAHl77fnKf+0MFIFWpemTdbNj6zV4Pq9dewUJZtVo2pTW3CMqrBy4PmVW8\n1NXnX8lK82lrWOENjdUDlwdpwJIhVq+9wqeauDRcMtZkdEDOnSIFnIrq5kEK2eoLrqqsHa3Z6rVX\ngBu+K2UPBzfffS/au63XWmU69HwDUI0cq9deUQEGoqinynOsXivWVBrUZWHfxXTCkT8SHryppGeY\njAS3plTHQCn9QQruTkhEmGlexfo6yDPPPfBcFMWihxfeqHVeS06RUsq/S6UAmYZXFNj7rB9hviHA\nOcCm4O978Sp0r8tCjJ8rKRCu9jf7XrTX9udeX7e8NR5zlHrvs36EFUmOuDqyUdAQbCyOyEJ5hwGl\n/6xee0UQpbffGR4LGe6UTk08tXrgcnsQbI2Cev9geg6Vkl/PaMR8Exwu7oDf96K9wbjp/9lCz3qi\ns8xnAZChJudGRqmksvD7382Z6s53lcQhuHrtFT51LJWV4H67euBy/7f7b3X/U8LfKu1/p1RlH0vi\nSLj7LWBlX6wo7n3uZfaxcfpufL/nX1mZw+rzr/RjJp59/hXhhTQfqfAqxc/liI/bl7Exwc+YM0/6\nfO9zL6v8ZvXaKyoKJD2DgbbmKF32fAkdFJXPACun5ynmggcD2eFoNyI0AUk5FTtUaEgkDxrN6vog\nPK9ovDTHeenGJNPkuUt7ivaxfD49Q44lmEYh1qwUgFllgX0vXq2g8Mp5BPqFTL2msUTrIWUeOZb3\nvfDqiqIWRElpP9H+FE6q1QNPrfRDl+8+qA8XvKDbbc/rco+5NQDAoGKrz78yPL+pry872ZRbl8vD\n8Zlyd8pWpGx1YyVZvu01gNdrhMNk9dorGMuGqKI36cgAkTJN/A0Ae5/3FJ9e7s7Bvc9+cujkSWQh\nqDyvrG3wDCKdsRz2TlCX+hqll1dkuFwDRLzuwNPCQWnvpFG6uj915p+hM6+v0TkBhMEPktUkN5/z\nZM87Th7ufd5l1THL+8HrcqzTKJsOzucdjR3YvVKpaN9ffc2Twh9EgSj6jOQDZaqZ6STkL8d7qy+4\nKtDh7D+qmS6pd7rvhVdX6u35TCKZGGUv0Xz4fsIIXn3BVb78xdHqC67y70+eqdG8973wan8/MT52\nAjmeYjkcjZtR8WczlKMxVl9wVeikAbDvhZaHbUvSgvU5GkNFJ3OfqzwPzwSaL53LpI93u5Y36Tcy\nmwRgZw/ZHyrzgM0qy7blue9qIxoQkQMHyLX6vKfwZiu3PFK2/ZEKa4mdYVZujawynDeQraxYL/Vw\nyLWAq8+/ErrTSRpkqwcuD2sqpBKhNbKlpTBF141t9flXJuuoAWD1WitkJZAFpa7ufZ7fcBIcwLYE\nUj5KSwABpTcw7Y18ShMZUvtevOq/I6+a2yCr+5/qU4ASBw+jkRtjU3VhUz+Cw0iFqZ5mNrPjcUzO\nKSBu8/Gmdb9lZwkpHgIAQqLorj7/Sp9e41DIU228zpl0hmy5nxAAV3tPW6fDSOUVAaeEF9Ip9Jy6\nOB6z0qW0VWx0s8FpPTJNbe9zL0O5scHpMHE9iY3iZ8E1gDNOI6OUD10aC30u6r+kEk2/l/OTcwDA\nNTCkQKhWi+t2aO32Pu8p9n3KdGpy3LzwajaGGVWS/1N+PeWcncLCHkoy4Nw7on1D6ZM0v2J9nfdw\nORrzXAKwHeMBkuIUThqrVRrKiqNnV8nxjOxlLL+TJPcQUUV5c06AAAFaKm9CbvK1Ih1RGuBeCb3K\nywgZURPPBIRSK5SxikIHYO/+p1Y+q9xP6XB8pJy4z6Qiyg6hOD06eq+Wd8Vv5BoQkVEe7evKfecY\n75X7oapcBiQAfwKHg6PdUi4DOo3jgWSWKQrvGBHERoTOeG8Fc4yi94GyGjtppAEpDEEaHxmF88oK\nVp9/pT8rHVWcJe65dCYFkWRqAUMGw/OEsSHnK+6Fsqjy8JwoKfOrc97bPRG9Z+m4c1FSf1/Ne7Ec\nj9m5K9NHWSYTUGreqOoG8p5SERf7nZyiu+K4SURs6V3NdXaRYzA2xhwfVhwP4r1wNo10DEnlW34H\nYB/x12xm9SpyGAmnYsoBaWazqvNRZ9hHxgs5c0kOy7UQGZKSkjIoNnDpd2IejLUynfj3K58rn0F7\nTLTjqvxOOl0oAprnVv7bD4PxxU53yeuB7BXrzo7xwoPFqlbrO+MsFGOqRHAjovWx2as58xefM0FQ\nRxiUiTIolede/6Zn6wx7918eIE7rVsvLw1T2gCj/JHkj7RWr40QO2wOXz3XEqzy3AYHSBPKL3iN/\nJgJgpHMwOKu8pUi9DoKSbg3ICS5lc3C2Sh0M4ACjmc0Cm4jGxLog6avOxuN5JEosOYgj93vDtv7a\njue+O43obRbAlA6i3Xk0Yq9ZIFwpikcH5nRiU2WBwNujlIU+D1IkHCnt0TgtOIkwmMuSUwZkpDg5\npcVFYTAlahLi3pVy3pw+573dZjpJgqAFbQ7oHjOHtOjqKYL5k3FE6xhFduS9OOWXri0K6xGWh0ik\nmMraG9+wvQwEQLa05L1uyvfHpiijpGxpyRv3SHuIz5nKInDMBALSPYtaPyXJmMp4grQXp9iQ17sc\njWBcbS7xKmdXCGXRFAUgjOYAlbHR5DZcRvBHtrLCSm0wh4ZDtCbPnBNeenHReyyDCyLAFJ2FoA8A\nt5GjyLN9TqKFECmWJYFYUXoSgXaUoScX/v3GET1qkcXpYtoZh3nDRvEDXvZ7mpUhXVWI7LjF+3Pr\nodtt6E4n5LnvUCsYQKQrp77llPo4AqH896loKcCRByCSK/I9pZ4bHOzpQ/6sabs0yXgskcyK33kI\nzqgqhtvc58mendv+LozQzx0u7bf4d6l9laJUmvR3mLYFWnL7nTOMMo83UslAKCN09dghSo9wAKH2\n82idyqICOGZvJe41Zx3pGt1sVBGVyaDhsyqsx638NpaZ1HEhjmxGDoCgPWZqjMSvM4l8bHxJV9x1\nQSrAZFDT+EiWknNWrIEsW+FuI8Z4PYjmnuJrx6u7mm0Tr1uQVqqr652KJG9H2+2XqE6a7y/IkENW\nidp5eb2J1iu+tzTKSg/ixJG801Cyln/uj6sROwDbtyaT4ywLe3bI2tE8Z970N/SygPW3ogAQRqH5\n5yJiaT9X/loZAaXfRs+SOuKukuA3Jd9T7BAROC8AvJODdGNEe5Ii0FIXTKSu2/mLLD+OCBuuzYXO\ngmAh31+c6ZxZKObl+8q79Zb7QOwxAtOiMkIaV5zarns9b9BqXV0jqXMI3JnKMyOSAZvg/4DnGST4\ngtZzGzmQsncq95J7JuJBytjYjpTZDYXnH5+OArhvznd9AGtzvjsfwLFzuO5cv6ufN5/+MZ95CYB0\np/Qzp5rn/v/5vHN95neK51LPS40v9bsz/ay+33fn/Z7gPt8J1TxX3+9s7lfzXH2/f+z71TxX3+8f\n+35zee671YiuqaaaaqqppppqqqmmmmqqqaZ/dPruTOeuqaaaaqqppppqqqmmmmqqqaZ/AqqN6Jpq\nqqmmmmqqqaaaaqqppppqOkOqjeiaaqqppppqqqmmmmqqqaaaajpDqo3ommqqqaaaaqqppppqqqmm\nmmo6Q6qN6JpqqqmmmmqqqaaaaqqppppqOkOqjeiaaqqppppqqqmmmmqqqaaaajpDqo3ommqqqaaa\naqqppppqqqmmmmo6Q6qN6JpqqqmmmmqqqaaaaqqppppqOkOqjeiaaqqppppqqqmmmmqqqaaaajpD\nqo3ommqqqaaaaqqppppqqqmmmmo6Q6qN6JpqqqmmmmqqqaaaaqqppppqOkOqjeiaaqqppppqqqmm\nmmqqqaaaajpDyv+pB3AutHZqYB7+6kMYP7aH1rcGQKsJjCcAgF6/i8HaEABgFjpQm1t8Xf+iZaw9\nfApoNoHJBFAKMAbTCxewPC4xGM3sfbodYDQC2i2gKNFr5xhsTYHJFOVyD9rdH8agt2cRgxMb4QCV\nAjot9HtNrB1dB7IMKIrgJ71+1z9PjB/tFnqtjOfA5O4h58fUbgGjMfoXLNnnic+gFNBooNfJ7XV5\nDmgFTKZArwMMttDrd7GeKWQnBjALXajNIV/f63cxGBcwjQxqMgOmM6As7XrS8xo5MJ3BLHahNuzY\nFs5fwuax9cr4Z+f3kB8bhPNw7wEAyuUeOsttjL9xHGg27DjzHJjN+JknpwWKBtDYLDDek6ExBPRJ\nf09+790OMNzCRZdeiP55i+r0nDWfTm5smaNffsDfu9mEaedQ60M0n7AHk6+vAbPCvsuiRLHUQnZi\nYNfoxMCuWbcNDBw/5jm6Fy5h+MAJAMDk4gU0NksUbWXXZ2UBg1MDuy55DtNpQg22gCxDr9u0a9ds\n2u+nUx5n/8I+1h5ZC8Ze9nvQawN0H7WC4UOn7DWNRnBd8D6IX5WCWehgQQODwYTfAQA7z8kU/Qv7\nODWcQI3t/oBSPM/eBX0MjoqxOH6j520ohbIB5EcHPEYAdpwnhsBsBtNruUkAalqgv9yxe7jXQdHS\nyE7Ya6AUeksdDNa3MLmoh7Jdov2NIa/timlg8PDJgJfK5R70qQEWzu9j89gaij09vt/k4gU0T03t\nvnrUHqw9eIKnYRa6mC5qNNcK9BZaGDxyir8bPbaH5jpw0cV9rCx2dsRzm8OxKUYzmExh8MgaBmtD\nfk+TixfQPD5G2WtipZEF+5Df5+bYvsc8A/I8kCvFnh5UCSwag8HWzMpDAMhz9Fe6WDs5DN5378Jl\nbIynUIWxfGgMehcu27nnOVAWQLNpnyF5pd1Cf7Flx9duweQZ1HiK7oWLGN5/AuVKD3pjBMwKL0sF\nby6ct4TNwRgoSv5Myrmy34PemqDXaWCwNgz4qLfSw2Bty+69RsPKz+UeBic27LsezAAY9JfaWBtO\nLW86/qCxSJnWu3gFg4dOAlo7uerWdFoC08KOr9dBv9vAqfEMan1orx9N0es2MNiawTRzK18BP1+l\n7J6bzdB57B5sbI2RHxvY/V2W9n0cXWd+RbeD7koHw/tPoLfcQ6/fhdIKrXYT7V5rRzw3GIzNdDiG\n6WcY3rfOPLeeKZjzZsgf0MBgC/3HnIdHzAit4zPAlMBkauXgV04E9+tdvILBiYHnLznvPAOaDRit\n0V/uYv3bxwAAZrGL6YLGUrOF0bdPWR52Z+TC+X1sntwEtMJ0TxuNtak9204Ogucyj3Q7lhej8ZXL\nPej1LfQW2xisDTE7r4f8xBDINHp7FrExmdq1BoBmA/1+B8dRID864POKZWarCSiFspVjEQaD9S0+\nz9Bpo9fUXra2W8Bshv5KD2ubE2BrZD/XGp1HL+OkGqP9LT8XfobWfO4unN/H5vF1wBiUS10oAMut\n3J/9AMvDtYY9T+T7OLWwhfxhzXzdfMIeTO7bAEqDS3/4FL7+hQX0L17G2okBiks0sq+M7bWPWsHg\nwZPo9bvoPLqPbFSi1Wuh3W7sjOfWhmY6mdG/MVgbovvoFWwM7XMz926XHns+1r91DGapC7U+tGfh\nQov3/XQBaN3v9YDZeT3kxwe8jpsloCYzFN0GspODqlxf6mJB2THMLugh35gBWqPXUPYd9DpWDhWl\nfe7JTaDdQtnOobemVo6sj6wu53SX7mP2YPjAScsPWYZyoY1FrSyPFAWgNcqlDpbyHJvDCTAU+uqj\n9uDkcMzyDI0GFvqdUK+COy8fPBl81ut3rc6aZZbHtLZ74uTQ7kWnA/dWFngeGLn3fNFK5azsXbyC\nwSNrML02883S95zPexbtFkwjw0JDY3Bi0+oAQ8vbrAcIPbiixzYa9mwXcq7s97AIg7WGQl83sNBp\nwABod1s7l3NrQzM1BpgWGIxmWCsm6E8NNkugzBXKhkJjY4bFCxewcf8pYDbD9KIFNB7e9Hom8SG8\nPqMnJb9D1qvXx5j1WzCZwp5OG2vrW9DjAtNehsbRAXoX9HGiNYOeKDSOWp2vt9zDYDi1MlLcj9fM\nvT/aEwBQrLgzHQaDtSGmFy5AlaaqbwNWH+g1vU3QyIGtUWhDSF6alvw+AaD76D1YH4+RHx9g8ugF\nNB/YDJ+hNdBuot/vYE3wplnsYqHTxGBj5GWfs3nWteK9bhY66PU7WB+NkU0Nr3P/giWcGs8AA8wu\nKtH46siuPRSMBkwG5CdH6C20ovt1sZDZvc32Rqtp96ycb6uFXr+Dwakhep0cveWeHeI2PPddaUR/\na7CJm69+Hf+dPf5SoNVE8cUv49CRg7j14BH+bvjivVj6zP3YvOzReO8bfhI3vuS9MFkGvTHA7L5v\n8e9uvONX8esf/AQu/Ng3Mfv2/dC9HtYPPBkLf3g3bvrQr+AdLzuCB3/6B3Hh4U8hf9z3YvaNbwIA\nDh15Bd72v98N9TefQ37xRZg99DDf8/A9t+CGq18H1Wgie8zFgNaYfe0b7jo/Tt1uA40GVLeD4uFH\ncPN7XoW3/NE96H75Ecy+8U2oq54M/c2HofIcr3nzv8Tb3/JRFF/8sn2IzqwCC+Bt33wHr0u23Edx\nyhswh/7kV3Dri/5jsI40j0NHDuL2/+1jKL7yNQDAiV/Yhz3vuwsAcPO7XoG3Xf9OfOXte/HE24/y\nbx5+zdPwwet/Cje45+WPeTRm9z8AfdkPofz8l3DTn/4KbnvBf4T+kSdi8wl9dP/LpwNj+eb3vRq/\n+f6/gf6rzwIAxgeuQuuOv+W1ueXDn8Wsq7Hwh3fzeM3TLsNvv+Pn8JrLX5vki0NHDuJV5Wfxw2/8\nJmYPPsSf3/7l29E/bzF5zZnS/evruPGX/xDZJ/8OAFA843Lkn/oiTvzM5Xjtrz4d7738zcG6AcDX\nb9mHO5/5Qtxw9euQnX8eimPHoXs9lIMBj1fyKpFut3HjbS/BLR/+LNofuaeyPr/4gZvxWz/3Noye\nfzXaH74H2eMvRdnvwtz7RRz+3G/ihqtfB/2UH4ZeH2L2tW9A5Tl0t4sbf+tf4/Zf/xBm374/eJ55\n2mW4+SWrePvhv8Lm4/tY/PIpqM0h7w96Hr3j7Ek/iOKLX4budnH7X74BN173fpSf/1JlHnJ+Zt9l\nmPab6Nz7DRRHj1qe+61PoPjyV4NrsuU+XvOWn8GtB48gv/QSzL5+HwDgG2/ah8e9/i4cvucW/Ozh\nD2Hl/X6dJ8+9Cs2P/m3wvPveuA+XvOEuHvPN73s13nDRn2Py5xfgMX/0NcwefAjZ4y9F8dWvJ/lt\n9swrkP/FvXjopqfhg6/4GbzmlR9Adv+xYH+v3fl4/NLKz+Jd+95Ymfvhe27BypXfX/n8bOi+46dw\n6JJXI/uhJ6D86n3YePHl+LX/6cfxtp9+K0bXXo32R+5B/rjvxW0fuhmv/Ld/AP1/fxa4+snAPX+P\nm3/3Nbjt1o/DaA3z2S/y+3jrH9+Lxn/9DAAgv+SxePWv7MetB4+g/PGnYnxeA50/uQeH730rrnv9\nHyIbFWh99WEMn/Qo/C8/eQVuPXgEk+dehc5XjwHHT+E1t/wUbj14BKrVghlbh93N770Bb/39u5B/\n4t5gLV518/+Fxv0nYAZb/P5j3j905CBuf/0HURw7bnnh8Zfixjf9S9z+uj9gPlBXPRnvOPyvcNML\nbw32+KEjB3Hbez6F7FuPoDy1BlOUuOkdL00+49aDR6B/9Ikov/Df7fjufStuuOKXkF10IYqHHwl+\nl110IbC8BDWZ4jWvP4C3/NE9aP75Z/h+N3349bjt+W+CedplUJ/6PM/3pgO/ieLoUZh9l0Hd9Xnc\n8LFfwzve8KdQd9nf6Kf8MG56zTPw9jffieKrX4f+kScCGrjxhn+Gt//2Xwf76dZvvAOv/Pd/jM79\nG/j2c/bg0W/9FA4dOYhfvfcLOP9dfh/80cPvRZucTudI3/7Wcbz6h2+qvpdb/wLFl74CADj5kn14\n/xv/FV5x6P/Awsf/H5QbG9DtNn7xH16Bt730z1B88cv41q8+DY/9jU/hlX/1a/idf/Yfku9AnlGH\n//5WPksAIHvC9+HVv/kz+Pd/8knsed9d2PjpVSz+wd2Wr2/8PaztfxLyUYnBxRl+4/IfxW3v+m/4\n8vVd/NDrv4bi2HG840tvx6uvfh1O/pt9WPm9uzD4F3vx+mc9hd9pcclFyI+u4zX/7nl42/XvBADk\nl16C0aXn47U/fRVuf/snMT2/i8bRAU4+ZQ8+cOhF+MXnvAXFyZMYvngvFv5hDYd+eT9+5a/uCt7B\nL3z+1/B7T/8tFD/6eKi7Po/iGZfj0C/tx+37fwMA8M03PA3f+8ZP4fBnfxM3PPXf8nXj/VfhF29+\nLt75qt/H4AfPt3JfZzj0Oy/HrQePVM7HgK9XfxS3/afrcOjH3gD9X89H8YwHsPlTq/i1/Vfj1sOf\nhPnbvw/O+jd97HPoffDTfPnN770Bt/zne9C642/x7T9+Esov9PHhAy/g96HbbZSjUfDc//GeK/ED\nL/8M/ujk+9FuN86B0zzd/5UHccPVr0N+yWNR9nsov/DfcejIQfz6f/sClj/g1/bwPbfgZ971IXSP\nFuh8+F488Nq9eOvlP4bbrnsnyh96HHDP39v5vPuV+H+5e+/4uK7r3vd7yhQMehk0AkQhCZBgLyAB\nSLKqbTXLRS5yiRO3yLEtWy5JnJs4oVNcEsdKZOfasjW8U0kAACAASURBVOMmV1mOJZmkRFWqEYUA\n2AGi10HHoAwwg2nnnPfHmjkDWNfv3hf68z7Pb/9DYsqZc/Zee631+62yH/jIt7Ca9qJfHobyEu77\n5A3882NncZ6UOZz4fBOPv+0u3vfvj5P9U9H5isvF/f/zw/zT8Q4yX+5HcTiIT8/Ic3/0O7bvom2r\n5uMPvJtvvvMBzFAIvbqS+NCI7e/RsAdaL6I4nHzqmx/gm0efsHWVef1+PvOewxvsm7atmvs+93oe\n/NSPiDXWoS9FUINhHvzJR7hv3Z5IrtWDX39O/L+Errf3U34ehn8BNT2dT379fXzzKycJ1RaiB+M4\nZgI8+NM/5b7rv4gZCtk2/CNtf8v37v2VEDIXrhC5rZ7PfPZWvvl3x1BOn7d/974n/4ZvHH0CzlxC\nqd+N1X6J/7jwAB9v+GswDbS6GozuPu5/6F4+33OJ0hcWWarLJq9lkvv+9i4e+OA3Ma/bz2KNm/zv\ntfDp73yUrzzeievJdkJvO4Ln122iN+/+JvFxn6zHoV3c98W38OAdsnd8/6OJsi81/1703GA4wP3v\n+YHtzwF86OwX+N6BlK5a+GAjP//omzfoJYD7nvob/v4XzxO/ewHvXeKH3//QvTz4Hy/ZNgVEDh/8\n/CMYfiFqlt7fyPe/fg+f+tMfoZ06i3n9ftSXztk+trazlpG35lNxbJFPfux1fPPvHt/gb9z/0L18\n8++PEZ+YBEDbWcsDT3yCTx7+vG1n9OIiPvHFt/Dgp36E6i3AWg5gBAJ85mef5W+ea97gn/7ZqS/w\nrRv/gdgbDuEeXoA5Pw8+81eved5Pf+ejPPjA87b+T97LNz7/S4zFxQ2vffMfTxCt9OKYCWD0Dab2\nBBB7wyFMXeEv33yABz/3M8yVFXuvrPdNlIM7USIG937zHXz3fd8HwyB4oBzPiMjwJ/Z9lun7myj+\nt2a5v0f+nG985qf2vKgeD5/6wcd54F3/gl5VQaw0F+X0eT79g/t44APfsO93+v4m/us9d73mee9/\n6F7+5dEOHM+JD6NmZvLLoQd/p8z9QaZzO6dWUfbvBEQpGQPDKVC5bqy8qwHPY20Ys3NilFxOjCv9\nKHMLxEfH8X+4EQC9pBjVN0feD1ow87MElASDtkOtTPsxqkspeXoKwAbQMizWilxoWVmg62heL3p1\npbzlEOMSuPsA5pzfBtDJYV67T/4NhzFXVrCK8uQNRcHTPY3/mlLUzEys9kuEDlQQn5jEWgtjOtdx\nH2Yqwq1FLPv/xtIykTvq5fWiQpjxv2Z+DN9k6o+lFVA19KoKCh69jLqvDmX/TizLQvV42PbJNpRw\nFL28DICibzTbTJJWu1XurWnvRjClapiXe/A81sbyexvAslAzBcxasRjqS+dYen8jKAquE+3o1ZXo\nxUXEqgtJP92PZyrCxF822ZdTmi9API5Wu/U1czj9+A4A7rvuOczCXPvZ4zcfTDG5VzGcU6u4elLz\npZ06y/Ld+8n9UQtZLcKSeX/Vheb1ErmjHs3rZevX+ogXCJM1+Kkaud9g6l6sovzX/I66rw4zHCa4\nt8gG0IDtQBk3HsDMTAPAfUzeNwaGMTxOuaZTRy8vwzzfTXxoBK0gHyseh6ICFKdTCKK9MldaVhZa\nVhb6oty/ebEHLWJidPViBeU1xeHEDMn/4xOTGDccsCNpqlfuP7nmyqFdG54lXulFKypEy8lGabmA\n82Q7xtyc/b7RO4Dm9drPBWwgfuLDoyguFzTsofKvU8o/t1fmUNtaJWuTcIwUpwOlfjcAFX/bQvTW\nelbqy9CrKuR7d/RT8r0LhPaWo6any7wlfjeaqZLTLvvbvHYfrrMDrL3lMCUvL6OshLA6uzYYtNV3\nNpB9+wCeizP23wCDX5N/4/npXO1QjNR+tmJRsi/5WapzMf3pJtJbhHyIj4yBrqK+co7hrzSiT8g+\nt6JRzAtX6P2YJ3WN0gJcp1P708zNRMnLQfN6UV85R9rjCXkzDNyne9BePIs57xfQ6M1Fy88jrbUP\nZTW0wXhakQh62Sb0sk1YsRjuoXn7PW1btTzL6fPER8Yw5uaI3FGPmpkh7yfWUPV4UFQVY96PcjCh\n28cnsZaWbQCtl5dhtYujbAPow7vRS4pRFAWr/RJWOIwZDqM4Nzr2WsHGvabOLaEc3Im2Y5sdHVEc\nDrErqmZ/zpiZBf+i3IOi4PKHUd1u1L070IuLUNdiLP5xI0rzhZTeB4z5xBwoQuQ6R/2YbrmuXlKM\neb4bKx5n9sZitNqtrFVkooxMYmz2wkDKvujVlThmV/EMLmBe7KGoXXSuuamAgu+02PoGQNFT9/3f\nHeszt/TiotTzJByogR/vp+DMPI6ZVYLFKhMf2c3sx5oww2Hix9dsO1z+j81EbqvH1TNL5PZ6tJot\n9n1GagvlmkvL+P5K9Lulq8RuOUj8poME3t2A0T+EMuUn/+IK6p7tZD7SKuuiKJgrK2Q+0kraE2co\neKgFxe3G6uyi7qtzUCjrnIyWeebi6NWVpP+qjeXXFSQexoAzl4gPj2IlgNHIPzUSHx5Ff6ETJT8b\ns3cQ9aVzxHM9ZIxHwO2yZd7zWBuxfA/matAG0MG7j6Dl5pLVOotaWIAalgieduos0WwV4wbRM1WP\nCEmzPgsoePcRXE+24xiaJVyVR0Z34jOmYe8T92yY4a802t+J33zQ/v/EDRnoayZWLIpxo9iolTIV\nKxKx98vEXWK313YVkf6rNqbvb0KrqxHg6s0mfp8f1eOh7O4unOsCM8vvbUAtyCd+U+r33t0zyU27\nelD31UF0XXbSVY746PgGEJLz4xa0mnVEpNtFxlSczLOTYBps/vkYpjuRtZIA0LE3HCJakc/KPQ3o\nl4cxAgFbJt3TKdu7+QcDxAvSbQBtNe2V+YrHyeyax/AvEJ+eIXJHPVZJPorTierxoHo8oKqoE/OY\noRDzf9pIfGiE6K31tr9H60WxuzHJvpi5vQp9Uyl6RTnqS+dQsrPkeYdHid5az/ibi1FcLsxwGO3U\nWaxzXRh9g1gZaba/BEIwW/F4ytc9c2mDL2T4F9Dy82wfw3LoOE+2C7mqawKUE7Y8WpiOdc0+0s/P\nYJ7vtm2466l2HINzEhSq3AxIgEQbn0Pr96EV5KMOJ/ygSITVuw+hV1di9Ayi5eaCN5fiB5pRl1bJ\n+nkr8ZExrHWynv892S+WZeF6Uuy2Y9UQ/xlsAL1yTwNKNI7qS/kLZV9qFrCoXj1scY8HCRWJzzT0\nz7KvMtsTuqqoEHXXdvK+3yL+m7pRr2pjc6hxi+L3p0hco9y7QXYBVvd4sUoKbR82v20O14zoBDUz\nE8fsKgDRai9abi5GVy/FZ8RuW0X5xKdn0HZsQ9tZC0CsulCyXhLDGh63M+eUlguE7zxs+yjx+h3E\nx30YgQBaVhaW00He91tsf0xNT8c9J5kHjmc6MPqHMJaWMXLTGf1iyucGWSujJxXssK7Zh+JwENtT\naf8NoORmEx/3ob5yDqNvEK2uRgJnieF4pgP3swkS2ZtP+M7D0HrRft/V0ovicGJ1dmFe7sHVO4sV\nDhM8UI7rRLvIfVRkqfjfmoneWo+Wk01gm1sCePvqWH1nA0p6OkaGzFN8eBTl9Hm0nbWYvxVIS4Lw\n/90wV1awEllA/6vxBwmiAaxzXehlm4hl6MJwXL8fgNbehPPSsIfsnoRDblqigBwaa28+jLWySuit\nR8j/T9nQ8alpTo8uCYC5cAVjYJiJv2xCr64kdstBWo91wJlLGIMjAOJ4JcZL8wEyX+gRZT03jzE3\nlwLLCeWRc3FhA3gCaD3WgeOKOEvKwZ3om0pRwvL5tlNXIBYj+6etmCsraFur8AyIc3zm7ASWK7Wp\nNa8X1e1Gq92KthgUwU0MRyAuhEB5oTxDYiSBpxWPo6an0/bUecxAADXNTXx4FHNlRZy8c120HutA\nLfKiZmbKppxNKTUQliYZTVSaL6DlCxHQ9p2nbYCveb24F+T/0cM1GDcesO8n5+EWgncflnUYGmHx\nhirOnOrDWFzEOTTDpq+KoM/cl9rYZlYaWlYWkdvrUV8VtrT4LVd4dm2Vp3dlMXlTLq4T7cx+rEki\nYulpXPXQNOJT0wTffgS9vIzFP260SYuWX74q81lZijE3J4C3IAdj3o++FAFVI6/bYuGDjSz9UaNt\nnFpf7ZM5eeMh+Ylt1SgjE9Cwh85nEqyfqgnAqN9N8O1HsBSFJ/0pJ1vRdXHqXzmHed1+lHDMNkSA\nHdUz+odo/uUraLm5qInUGCMQINxQg3Gl314PG6wnvmfFovZ7ekU52otnJS0L7Eh1cs3V8dkNU9bx\njaeECV0O2IRVcpw5JQYnCaqdF0dsEN56rAO9upL5exslwtl60VbG0eIMW/EaA8PEbkk5d20nL7JW\nnIbVtFee5dRF5nfqzF9XypmX+1j840bMtTDOk+0oaW5Ujwft1Flaj3WQ9Ys2/E0lDP5sn8hUSSHB\nQo3RN2dLSmjDHns9pj7bRNYJcdrOPN+Nsn8n2c+IE1LYIZGbZBrh1YxkGqYSjqJXbia4JZfeL71K\n8QPNGP4Fm9AiuIa2s5aqz7dg+heI3F7P04Z8t+Yj7aAoaEWFnFgYJXB7iugwnRqtP395A7GRHPED\n4pyZYQFtbT9/FcO/gLG0bBvqtsspUiHumyA+7qP1WAfWYiq93egfwsoQIG9evx+9uAjXiXaaf/ai\nZOAsr6LlZGOGQrQ8cQbVIxkVSdC7Xm9Zq4lUWqfTBu2KYWLFDV6cWwZVs0kYpbKM9mbJmtG8Xlue\n7eu5xFhj/JZx7B5A21ZF67EOIrfVi0x6Rb5bHmtFm17EjMYwL1whurWEMycvUNA6J+Buehbz2n1Y\nGR6MG/YLuG++gOexNs681It26qwAaG+OfS+Fp/0YvQPE3SpGIEDHt59h9Q2yRlrNlpQtmVsgfOdh\nHK3dAJz59kmZ37k53M9cQC8pltT138NQ3W6MGw+wfE0lWs2WDWuw9Y/OYVzpJ1aUAbctsPmuYQr/\np+joM50pvaNXbiaapdF6rAMtYjJ1i6z7/J82cv4/TqGmp6O4XJR9Wb6rhCI4nuvE5VticYdiz4/V\ncTnlnJoGZ17uZf5PN+qSlkdF/8aHRjC6Racmdb7ndJ/teF3585N2RtDgvzbYvwHgWlDQardi3HCA\nlh8+h7ZZ9pZy+ryAkESqq15cROS2erRTZ2lvH2P4S3IvjqCJsbhI28kLAs7PdUHDHuI3H+TCl08w\nfrNEMYzeAYwbDxArzBAZrign/b8kKvzrTQFMTdlAtr/UNyFkdvslYjkG2s5aTriC6KfOM/kXTWg7\ntrHpK80QXMO6Zp+APKDk680b1i2W4PQufPkEANFsMLr7CO4q5tmxUbLeu2QDrMKzIkfxmw6S/dNW\n4r4J9Bc6aT3WwdDP9vHdL7yV1if2MHcwW1KGr3IYua8lHG370DcIwORfNEE4gutEu23f4uM+2v7z\nacxwmNBbjzD9qSYMl8q5h5vJ/EUrRiAgvlVJMa3HOljakWXrcWNmFn0xlZ6qtF4GRB5mrxeSR91X\nR3rXDG3feVoAdiyOUrGJaGmW2KiKcrKHBCg7T7ZvIEaS+qbt5AVcAVOiZAk5bPnJC2heL1rNFoJF\nOmnzFi2/Oi33kSCBl97fiGJYEq0DAu9pwCor4cyFqY1z1ztA2zNii6K31oNhoNVu5fToEkaOyIKW\nm2vvCzU9HXXXdrQXz6GcPi/PUVJs215F12k9lvABvNkAmAXZtPbOs3Z4C8a83342gNUyTeTVNLDi\ncVq//6ysTUkuIKRGUg7VV86hlxQD8HziuWjYw3S9k+U37rCvqdXVkPN0L+bFHrm/TaXy+o5tGB6d\n4MrvR89l/kIIlOq/EBzQ3jKM68l2jJlZzMs9rL7jiNhg02D4FyI3/g830nqsg+yftuJ/U519rafm\nRlL3n5XF8vsauPQPJ1Cm59j8awHbRu8AxAz6Hz6Amp1FrDCD0FuP0HHyCrNv2w5AWr/Y4rb/fFq+\nc6XfJk06//1JzMlpm1gyQ1LGsPCBRlA10ltlr7Qe6xCdtW60PPw8xo0HMGZmCV1TgxkM0vLw83K/\nCZA+f28jiglVXz2/4butxzpSWRhZWTgGp2g93on60jm0rCzUM932byTXV6urwVJV0DTmPio6Us3M\nxIpFaX91AHPOvyFI1HqsA0wTrbjQfq391QGssiKiGa8lhyc/14QWNjCWljl3fACtditqIMTMmyMY\nc3O80DdC+E2HbX3I7IJgEiSrc/pTTa+5Jgg52Xqsg7TeGQa/1mATv8Gl3+3P/UGC6GhJBnp1Jf4b\nhKFwPNOBpSYM79f/i6nPNLFQl4554UoiOhJl+t11Upv27GXMUEjSixNDK8in/UuPYJ7vRt0jwrzp\nq83EirJxPNfJmVM9wsonBCnJyisOJ+f++ue246YVeiV1OytLHERAL9sEk+JsKvW70XJEMbUe77QZ\nSS72i3JKGIzmn7yAFVoTALVrO8bAMObwGPqmUpofOr6BvTHm5rAM0waytrJMACtjYBir4zLtbWPC\nIno8OKaX0XbWSpQxGKRleg0rEnkN0E/eZxJYq/vqUkKZYOcUT1rKmQc7daX1uKRCaNuqWbppC66n\nxJnXV6LEMnT7fYDpRoW5jzZK6t0rY7R/6REAYhUSpdRycyn6RjNqejp43MKuOx3MHnBsYLq67v8p\nAMUPiGNW8tJro+//7aFrmNfvJ6t7kXhJLrk/amFun9RGth7vZOzR3bazp1duxrjSL+A4Hsdq3E2G\nL0Le91vI+XEL8ZEx9KoK2r72KwCJ9B3eDQtLGEvLRHNcXPyeOIZL7z2MGQqhdA+RMbyK/kInfR/6\nic3cqtlZwmDXbBHFua5qQyvIl2hBYrQe78RYXMTIy7AjwI5nOlBcLlqPd9pRQ/+HGm2GW6vZQuvx\nTilVKBLnP1mjkzRu5uYS1D3b7VRYkOyH1uOdAsIsi/z/bNlA8JxpHU4BUxBZXwmj7quj/eV+4kMj\nFDzUYoOpZPTcuRRDy81l8U8SjrSaeuDmR17GfewMSvMFAu9pQNtUQvk/NZPzcAttT18k90ct+D90\nGC0rC2PrJttpbD3eKff44hhVRX60U6UYV/op+E4LVb+cl+dtvcjamw+DabB2MGSD0dO+gEQOEjog\n5FUxw2GMvKuPRINEIs2pGakZHl6meVj2l1ZXg7W2htW4F9LcdnqfGQ7jerKdKx/7iUTxASyL+NZS\n+r99iawry/baqhf7OXNFSEe9bJNtAAG7zCIZqX9pJYK6rw69vEwIu6wsWr7xuNzLtmo7YtJ6vBMr\n4SwmMwCU1RBW017Ul85h+CWa1/bsZcxIRPRFiRjOlyzVXhNj3o9SWyVymXAarGgUrdArvRV8E1hp\nLqzOLoy5OdpeGbDnBYC4wekfiUOXJAmUQ7vkevl5djaR0TdoR5DivgmsSAQjO43mJQP3cxewOi7D\nlMh1e8uwlEIkyEHHxSFOf/9pzEy3pNyHQqivnkdZDaGdOouxsCj6SVFoefyMpH1OTcPwhD1X0aIM\ntNqteCbDaHU1tD55Hs9jbah7d7C8t8BeD2NxEcOlsHi3EKDPZsg9q243WpEXY1MBftfvJyqYjIjN\nHlIZf3PRBl2djKo4Zlbx3tVL7IaUU9/8HQFoc3/WSHxkjMxHWnnJVHGe7sJMBOm832+n5dFXUTaX\nCkGWIAkxDGY/0YTRN0j1Nwbs+Vmvv0a/2MTp7z9NwXdamL+3kb7v1KMXF9H+6oBkOq0fwTVitxwU\n0sc3weTnmmhvH8cqFb1X/esw5rX7RLdVlFPyr82SGfPiWZpXTDvLKvYGIThxy16KT8+ILQOOx5fY\n9o1htJxsOxum1RckfvNBAk9tQb04gP58J63HO6n8QovtWzh9SzhmV7HCYSFfrt2HXl3J2J0/x/VU\nu53VAnD2y4+JfrnhADUfPYPR1UtL8yBabjal/9wMsykbp5w+z+AX9tpEr22D62oo+3IzM59ssl/b\n/MVmCRKka3R/4qe23Z6/txH1pXOY2emM3Lkxm6P1eCfGgouMR9so+3Iz+d9rYSEjytUObTFogzit\nSHRB28mNjnz5D/qlxtPhhMO7hVjWdZ6oknVxz0Uo+XYnjtU4bZ2JMr3DuyWqtRzgiSoXWT9vhdaL\nduQMw5BMjtvqUQ7sQN21ndbjneR/V0CV4pshPjJmz5kVk94f2qmznCh2Eh8dt1M+f3soDomEtTzW\nSvY50R/J7Jn24VXRSf5FCo73kvvDltQeS/iYOQ+3wFoYxeVC21pF1s9aMS/30PaTFzf+jstF86T4\nbWltAxhLy/T+WQGdv7mAPi9ANalTQTLhzMs99u+0Hu8kPjUteg4JrLQe70TbsY3lrWLDlLhJ69f/\nyy5j0Qry0XbWYmV6KH0hlZGkbC6ldTaKXlLMSoUHq2kvrle7aXv2sm1HknNw5WsC4CavzaDsVJCc\njnVR3W4JoqBqvBxXiU9MEr/5IEZ2Gvrzna+pCb+akbSRelUFJwyZr4UPim+R8WgKI1Tdc1HIxTct\nyvzUbiW/Y9728wf++Cep+w8EyO4Lyn6Z9zNxu9hVvboSolG2ftvAXFhEfekcnsfaaPvar+wIfTLr\nqvWEEK7Btx+xgxRnxoIYB2ptnACgLgfJ+0ELekmRTW6c0rWN2ZqhEO2vDNgkrutEO3rZJlr8Yi+S\nIL3goRaUddkKii4Zr7Yeqd2KEQgQn56h5dctUo4TCNgZF63HO+1IuTU+xVp5JsTjeL8tz2aurKA4\nnJz+8fM2OQSSBdL27GXMndUSyU76Ek+ewzzfTeYjrUx9diPoDRdYOOeCqHt38NTcKEbvAFZghS3v\nFb+l+28ex33sjBAN1+8ntj2lD10n2in+93VR6ASGUPfuYLnKSXvrCPFxH1s+14rrRDtK/W782b+7\nBP8PEkQ7p1YJ1nrJ/kkr/g81svDBxlRtQ8Meyv7zsp37H/dNYDXtxfutFojH7RqW9cOY9xN+02E0\n78aUjGT9Wu9Xd9nRlGTUcOVdDWgFeRuuE630SkpVIGBHcOK+CZTERrPaL6GkpaGXbdoQZYjeuAcr\nIk6qlpWF4nJhBALoRV5ReIqCuqUSKyuh1BLCnVTUalaGfQ/ajm2SGhRNsaJ6cRHG3BzGvF+EanQC\n48qALfxavy8FjpPXWQd4QICseb7bVm6YhsyJYWD6F1IOO0h9HyKUSixOzsWEobcstOU1YukJsVM1\n+h6qp+ZbM3i/3ULuD1uIT0za0UUtKPeXTBsxg0EIhdFLijHm/UTyTWkM94ZDdvRxw2aLSaQdM5UW\n+98ekaiAgO4+O3Vsy8MztjGq/OAIw19uZPLPm4iPjDH2d0220VFOn2e1zGWvl3ntPow8WbOkwla7\nhmxHZqVMx8xMR8vNJbc7YTAMA6uzS8gcVcNYWYHDu1ES6X42aIulHGlj3o95XlhCvWxT6lEK0jDm\n5uzXrEgEvaKclV3iYOZ/rwUlIKlGyWY28ekZ+7ntlKFkDUo0jhJLlBWsY/o5vNuWC+XgTnuuIrfV\nC4hpvSiseFaWyGfvgMhYIGBnltisd9+IrHE4gpLuIbdHHIdkfW/SQU0CrryWKYyJKeI3H0TLyiJW\nXYyi6+R/twUjEJCUuwQDmxzxiUnUv8qxUyID72lg9pp84gXpmM+Xk/bEGaK31uM+6yHj0TYUl0uy\nLxIpyZAocwC0lat3LtO92Xz8397DJ//9jzl4TyPWiA9tXgxRz0dzUdLSREethWV+E+uj7tqOXlIs\nICUxlNPnUVouoEwn5vm6/fg+ccAmBM2C7FTKUiJdTi8pRjt1lrW3HMZ9ukdKBMZ9Qly4XLYeNfqH\nsGor0LZWiZ4IhVDT0+2ItJGXLvNUVyM6R1GIN4k8WEd22feQfmFdeQnYutgYGJEXEromKZNG/5BN\n5DhPtotOGvFJzes6R0Or2SIpbR2X5T3/gp0yDkgESdXs8gbl7BXUV89jxWNE33jIJkiS+zM5jEBA\nojjhOEZ3n00agOhLKxIRmbcsFC3VD0NxOe3PaqfOwvwCjrE5lFAYpVaIrLn6HJGxhK7XcrIJlmh2\n+mlu2xSR2+s5fMtOPvGFO/nUR64hb/Xq9Vx6tof7H/ooz6zezes3bcE4EiD8psP2+yWta3Ym0+o7\nG+j79mHbJoKk5Xu/1cLY34oedj3Zzupteyl9XubOiscZ/WKTveaBd9Xj+9g+cDop7FiFw7uZeodk\negXe04B5vtsGyKbDou87EhkoeKiF7Z/uJj49Q2xvNTk9K/Y8AUQ2pYOq4Psfch+F5yIoqsryjhyU\ngztxjEr2gJabS3x03AZvWs0WHBdHMJdF7zqe6QBFIVKgSyrpwZ1Ebpd7yP1hC1ae1HUn7aXmX2H4\nbTpZtw2ydr3ImJabK5lcWW5W33GEyGaJ0ikuF/GRMRzTy8SHRlh7i8yzZyrC8nsbmPszycSJ3FFP\nNFvkQN1XR9Evuwkd2bKhFCFcno5etomqv2oh/VdtG7ORuvsIv+kwpQ93MfLIHgLvbkDzeokPjZB1\n4pKk4SIESfag6C01bpLdl8j+ubXevta2T7Rx4O/fzf0P3cv9D91L3u+Bp07P9vCB/3wr9z90L0fe\nJmu9vqwHYOSj23AshMEy0XpGGfmLfVjxOEXfaJb026ghduyVi7a9j+SL32WGQpScEvlTHE7RhboO\nuoYVCuF6ql0yHi4n9M2NBwQwzfttshrEhhoTQhp520W3JbMSk+nuk5+TDEYrFkXZvxO9crM0d0pk\nn1lNezHdspbmahAzaWcTjnwSzCaHmpmBMTBs/20ENgJIpbbK9lOtSATV7Wbr/QK4zclpSUGvLLft\nsl0+k7CX4TsPb7ieXlUh5NOVfiEdADOpf0kECOb9GF29UjKxrvTE6OqVMompaTIfaSVQnYYZCmFF\nIminzqYIKWD52koASr/WjBozbfC4YZiGTU69rjCTj//jm7n/oXtJz8147Wf/H4704lw+3P633P+j\n+zh49B7iw6Pk/LiFgX9r2FA3jNslRDVCLuZ8f9sm+wAAIABJREFUSwDelc/kMn6HFzMcRq/cbANd\ngMC7G5itT6UOJwFbfHhUGk02X0ApTZTKrEsVT/rNWs0WIrcfEnJDSdkd82IP+mJowzyCRIen76yw\n/ea0x89sINfU7CyMxUW0rVU2iWGtrhLNS6WGa0WFElgLhFh9xxH5XmU5IHgj+sZDmIlMXJCMhuQe\n1cvLbHsaHxmTbKuVFdREOdp6IlStkmsufKDRLhdSmi8w+YmDKOcEzFuJJpSRfSKrWkE+Jf/abINr\nra6G6s+3wMw85oUrts+1PkNifUBQfemcHZkPvOe3yFZV+jRZjXtRZxYkO1nTGPmnRhruPMj9D93L\npz7cRP7y77at2tGjR3/nm/9fHf7JxaPPff0ki2/bQ97DZ0g7m9rI03dvIf3lVP5+9NZ63D2TmKui\nrPrPDmEuLhF+02H0PokIqHt34Dg3hJmoeVp9ZwPOL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9HLNrHy+jomXh3FWg6gLawQ2VeF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MCS8zuu/hMBLd++B+9kRmUbm7FdJ2mkYHbH5ev64D2yVehF4YIWkk83N5YfRqrLxXW9ym6td3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\nH9gH78Wlm6I3Mr0Q5WeeOAHm9WL4R6/g8JM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x4H5R3OGZjDCU9qVOTgsYkDZmdXjMZ1J4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\n7t4Uk1RrdtbdrUFKmJpFa1CNlmpwLq/SsDU3r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hFhQ6a7QM0VH2YIsi02dszkIw98lmcX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3QGsT+u5RtYYc1v2KrCdUYA3pNPYmpF7ubamcYc555ya5b6DUAmoNWqvxmjhPeLzrRTxN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LTL3GQ2BSXkfj3x5j7j8epf0XBRzji6DrstDV2IjZ3wonL6MF/YiqQe6eHXi/K2lLaiRsx4kv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77IT/2aii7WPaeUhsQcudRYC/3yNHgmjdmPD1EhpSCfJENMuZYdS7vpYI7GHwAxuwRQldTa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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_images(obs_dict, hdu_dict, filt_keys, wfe_drift, fov=fov, save_fig=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F444W_MASK335R_CIRCLYOT\n" + ] + } + ], + "source": [ + "# List of WFE drifts to check\n", + "wfe_list = [0,1,2,5,10][::-1]\n", + "nsig = 5\n", + "# Get contrasts for each WFE drift\n", + "F444W_key = [key for key in filt_keys if \"F444W\" in key]\n", + "contrast_F444W = do_contrast(wfe_list, F444W_key, nsig=nsig)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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ZMSIS4Uj3ia/nrzwp4pod9Hi//CgiHweQX5HvlqqGfZ2Pi8jjFWzHlyKSLSJf29+bisjD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Fzglo7esSqPHRpGAa/d2srapsSsxxwtexzoLxFqSNoGm9tSNM3SQ0AIIcT8LOT+/7nM5f134I+A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\n0kgOHiVJkiRJIzl4lCRJkiSN9DdIkzl+Q1POrwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "curves = contrast_F444W[F444W_key[0]]\n", + "do_plot_contrast(obs, curves, wfe_list, nsig, age, save_fig=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## HD 107146" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "i=1\n", + "\n", + "name_sci, dist_sci, fov, age, spt_sci, kmag_sci = args_sources[i]\n", + "name_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "obs_dict = do_init(verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "# Optimize readout parameters\n", + "tacq = 3800\n", + "#do_opt(tacq, patterns='MEDIUM8', ng_min=10, ng_max=10, tacq_frac=0.1, well_levels=[2], even_nints=True)\n", + "for key in filt_keys:\n", + " obs = obs_dict[key]\n", + " obs.update_detectors(read_mode='MEDIUM8', ngroup=10, nint=18)\n", + " obs.nrc_ref.update_detectors(read_mode='MEDIUM8', ngroup=10, nint=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "wfe_drift = 5\n", + "hdu_dict = do_gen_hdus(obs_dict, wfe_drift)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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+jnR/UXOxvyPd37yaOyaN6Gu+t42n3uu5M9c9/dVP4qVPevXMda+49Lz9284l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\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ekHg2wJtWLgWRH8zRCAgsryCwYhOes/CmJMVel1JALNdZ3++jMKCz/HCA2+9sx2mLkBv1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\neSSE5dMwqmp23bc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0cFD5yp67gj61QOHBEeohHdfsGnrNYeVBH/bD91GLCFYeVvAFsyDI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NlWL0E/a4uh3hKVi7RT5is3feaI9OV5pCdG6+mk0tuC8Lownj5F/K90PKNS3qvYguRrN9Dy50cQ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i4sbWbXZB6dvekkeQOEImZodaDLIIUFsjdF8eeZSTkQIJxp6Mfbe4LQ3GKsvd4UYxwke2DK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\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haq2yw4HkdCDZrGiDw3HlaNnhEMKYkhSHgirJyaBp/O69W6hYWvyV1lzzwUHj+/OvI7Ju\nObb2cYyBYQxNQ0lJZnRdcfz+1o9egrl9hFhfP9qxSzH3ThKoSGN4uYnC190Mr0ok+51hUGQ6z03H\n7IaoHfRKL+ExGysWt9P+pwqcgxrW13Yw8OMalOBsYztwxiqmyhTUgBA1jKxbTt9xJlL3GyT+5XNw\nRJOZ3mfLkXYkkntnXbzpFzhjFa66LmJDw4xfWkPUKc6T0hsaZotfOEKl+NDQjlmKaUczUk6mgNFW\nLxb80L83oCyYQ9uFKRT/tP6wx89QWxI/TsW9ZpyxK2pIe1Q8ZuzyGuTol0N1Zx6T9fZAHA6sVJTS\ncnk65f+7n/4rKgmt8OP4xEHh2e28VL4FEPZuDw8fhz9mpsrVx1NvHseatZ+x84VFZOwKMzHHQvbf\nD+KvLcPe6SGS4UB9bxfG6iqiThXb9vbDKAFKWTFaW6fgQX9Otdx7XnUcmfDQ9jupWF761fa5T3uM\nH5xyr6CqrFiE3NEfPxslkxkMHbkoX1gTejwCGp2ZgtQ/iuH1gqIQWjMPW48b35xkzO4YA7VWwmk6\nyZ9JjC/TkHQJXFHsjVYiVX5iEYXSJwzGF1qRY2Af0Yg6ZOxDUSz7e5ASHMQ6ukQx0Nh9BF1iJukG\njihe/htV7UOfQ0lPZ+q4UhL+/sVq8mpJEYbVHOefIiugaxg1lV/oVvFloZYUYYxNxClkamE+gXlZ\nKGEN00SQrtOTiSQJXmo4PwKaxKWrPqI9kE5UV6jvKKayoI+YoXBKxj5eGqrCF7HQN5gCHhXrsIJu\nBrMbct+bwlOegOuAGykUJliWhv2zAbTRMYxwOO46IJnMQiW5NBvFG0ZrbI7fn7LDgR4I8NDe31Kx\nKO+rn63ffgwpGos3SNTCfPSxCYFomW6UzahkywkJyKnJoOlC6HD7foKnrcQ8FcOXa0Y3Cai6q1dD\nCesMLzOhmw1MXomYXUzxXc0KasAg5pBIbQxj2deDkZmKpOtI3gDBOZnYDgwKKmWqK95YmYnJi2qw\nj8YOa/qpuTnisf9CLOxL16OsoBbmxfeZw5qFkoS+tgrNJMdt0ZS0VHSvT3w/wyPxvWH4uloyf1d3\n2GBHzctFy0o+gp8/c117/rcWx4BBUltYXD9Vwl0K6Z/qJLS46f+lhPxuMlEnhOYHUUwai3MHuDF3\nC9VWhesGVtAXSOKGvC185+0rcDWZ8BXrWMZkogkGee9FCaWquNr8jC9ykrmlh+D8bGyNA4TLs4g5\nlNnrON20mFlnhzZJZ9x0/tU+93WoaIcRk2inJEm/+Bqe799GYCrIHU+9w282vU1DXTsJzW7MHoOx\npQa2sRhji1VyPokxVWoimiAmhKFF+Wg2E3LPCGpuDpnbA4zXZCEtWRB/XqWilOT6frTyWZ+1hGcb\nmFyRGf+77HCgZmWiTU4iL5wruj2hEPm31WHEYuh+P3l31MVFJNrvrSb3zjokWUL3+/FnKwz9oJaR\nq2sZfaSIysR+8m6vY+TqWuZ+fCF33f5tjLxMflkilOzKvt3CcRddRuoT9UxdWEPbsU/R+tAqvpm0\nh1h3L+8/+TjOxhG2DOwl5dIeoscMknVfHeU/EBuw87kGim6t5509C+j6po3uX9awcJeMtKCcjG8d\njBfQQLygAri1eAX5r8pkPVDHg9c/SELLFG89tJrgaSsJnLEK2/i0onSbg4zdIZTkZMHhUxUkjx9J\nVQV07Fd1JD9dj+RyIlutxCwSxp5GlPRpddKyIlytXmLHL4PSfFzdEeTFc3H2gqtXwzoqYx5VMBd7\nsVgjvN06l7Pn7MFmipHl8vKdgm3s681jeVIPckDh4+ZyZIvG5kAL9zY/z7ue+wmNfXUhioA7xO9u\ne4tNP9tC3fZ2zD6D1lsdJLR68WfJDBxlIepUSOiS8ZUmkrnNQ/C0lbh6Y8jeAMMr7XF4nKEqkJkW\nV35PeKuJxI+7APBUuDB2NYokuv5TYvOKQILCl8ZQc3MoeGUMaflC2u+uwfW3Bixv7EC2WkncOUjf\nzbX415STe2cdFrdOxcW78J+1ivzb6ui4tJD3n3wcuXIeI8tUshp0fHPExureXMZ7ixwEbsgi7YIe\n1uVUMVYbpfrTKHP+MMWyPTqaTSb9k1FaHltBxQNhLn7sB/jOqSb1Oz3M+2k3x158GQk9Ebp/KXhd\n63KqGNm4BGNPI+q7u/jnuQLyveHcS1GLC7n5zstwtpmYPClG+l4d/aglKPuczH1gjNFX5uA6YKLi\nsp0UnrMf6fUk5v/vEL4CAR1s+a6VnsvmMry+kIl5JrTxCSGO0bAPFJmkP9VjHvGR2hRCO7pSFNDT\ncKZYTopQ/FRktNJsjAWlmCdDWMclfLlmRtZmkFonuLVlFYNMbfTyv7WvkJ8xSVqiD79hZldbIYXF\no8zJHWbM58DaZGPV/HY++0cLv7v9TR781RZ8ga8B0m02Y1hNwvKiMF/4ps4kl5EY2tgEamE+2sAQ\nBEMYuZlIA2PI4x5kmxXdHySYaWX4G7lEEs3IUcj5MIxt2GBqDrA/AcUvgw6aU8ecHmDZUc1ImoQ/\nW8JbJNRFrRMGchT6jxbwxqGz55D7gR/7mI61c5yUJ+uZmGtm+OQSxr4RQnI6cBfLDN0BZp9BMFtj\n0X1Xc+CHC3iw/VhaL3yYuydKeXPu61Q5ehiridH5WgnGqePIGiz7xVWUPRPimO8JFe/iLZfyit/O\nI1NCUdm3XEzBdvQVsm/l33Baw6zZdwYDzRm0XfAIf3zrGOofWs7/jc7n6L/+GI/XRswGQzUSQ7UG\nSe1Rct6fQIrIjF/ix3XWAIYM7hVhhr4RxZcjI98zScHtLZTnD5N0AFJ3Csuc9L0xIkkG4VOn8C6I\nkJHhpmxtF/UfLaA5kEWSHGDXsudIrRhnMmZHkQ3WHb+btsEMpGI/GbvCWMcgbW+AzE8myKyfIpqX\nGi/i5NEpFJdLwD6DIfTRcYHemT5rZFeCgLU6xL2gpKej+/wiEda/Om9F8gVQFsxB9cfQ2joxFpQS\nXb2Q2OAQ6VtnxbjkD/bgWyK+D3+WGd/CdAxZwjIJXd9ykbGpjtbLMjh4ZSr5bwdI6NVIPaDhcoSY\n95CbPXVCbOt/7nua2HFLyflNHT+85nmSP0khcPoq7C9sI++tKbL/0kjPz2vpWa9SclP9EQV021+W\n0PHnueSd2Ujue2LqUnGxSPrsLwidhNApK5mo0sl6oI7SG8Tv6+MTtN0nYNmx7t44JevQiJ64nMEa\nK7rfj9bawZaBvXiK7STtn0DNzUFrbI4X0NETplW8pwtogJbnBJVppoAOb1hBRsMkabtmC7LOO47k\nXE/NM2j6icg55Kr5DH4jk9IbGwgcu4BTLvyYWETBvSLEzQVC2f66gRWstJhYk9jKo4WvYpJj1BzV\nSK51ioeu3ETPN8wktUfwHFM+/eVBx7ky0vKFmLpEI0GbnIwLDAEMnZAlYJdh4QoiJyQQOmUl8uK5\nJDzbQOB0wd3+OvipRKPE+gdQC/OROwfQJt1xiLxcmIuSnibUyz0elHnlQrV5r3A9mTqjCgyDUIpK\nNM1Jwr4RpJiBq1snqx4y6sZIalJJ2yFjb7QiR8GyxwFTZjpPs6AGwZ8tMT5fxdURYHKOmVh5Doaq\noGZnIWkG/d+dF4dzA0xtrMHIST/iY8wINhnRSNzz/MtCWr7wsL8fWoQbuelfXkAXFxLr6JotoAHv\nOWLtfr6A/rzf8Ocj1tGFNrcw7kOsJydg65xEeX8340uSSOgycLXJmLywrLwLYhID4SRqEtspdYzy\n46VvsTyph3OzdjAZc/D/0fbegZlU9f7/68zM01v6k153k2zv2U0A6b2KgggKKCgCFrBh4eoVEesV\nlC7iRQUEBJHe+5Js32zJliSb3vvT68z8/jjJk13KvX7v+jv/7EKencxz5sw5n/Iu7TvKGWzzYz9k\nw9OlgoCc/QalL4wR9zvxHgyQLJC8YuvLWzFyPBLG37gCYbfNCp9pkEhI1fRRKRZozmogGZEIQrMc\nAbH+Pw9NlTSRnr6MN7AxPpmB2+sjoygrFpHu7kWtW4DichJZ5AdFECtyED+nAff+KZSEjpKG6cWQ\ncyApXVxWWMg5YOAYlerwjjHwvy9wjehEzghjKqDbFKZPrSGd62BybS7xWj+OvQNgkdZyxq79aGWl\nmWeoVVcSKhfYXtiaoaBoZaXSIWE2cVXzctFPkHlDRgBy0cJMAn043F9dUAWGPs/bB0qenS8kipWL\nUd7ZiePQREYDQNjtUhdhdEyiBmafQ1ZHSlIVdh/IUAvTA4MZMUI1O5vwRetJnL2O0TPLmfl8I9V/\n6kO3CqyDAXwPb8I+o+Puh3CRyo3/eIr4viwsp09wzsXNeL0xfrzqBb5b+hL3j53AhZ2ncqy3nZPz\nDvC5V7/CH0/5E47Tx8jaL6h6sAslCaYiiPoVhj7hAQVCa0oIVlhAU1Hf3pFJoBWXC3UWlm6MykaL\nOUspULOz53nm/8M4qiRaCPFNYCPwJvA34Iqjud6/OgyrhIXkbZnAUKHjC1kYqsB7SGF0nVQfdPQF\nsE8ZWAMmKQ+oKQMlbUBBDtFlJRhWBd8jm2SQX1aKcdwq9PZDkn/Y3pfZxLWSYrJ3T6Pm5qAuqWPg\n2hWkR0ZJnLmOkeNzpHIb88p2c4exaVNRF1RR861NTF7dmHkY9jPGiG2IsPPme8hqm+HNm4/l4v0j\n5LXFqPnWNNFCwUsvPgpA+/3rCBw7iWP/rKjFZ8c57vprqP1jmE/M7umfPnQKnr/KSqJ+4hDn7Zvk\nlaFWZi6Xh/PwPxcx/pVGnj/jd9TeO0jeboO9aww6b5rn45iNKzIBBcyLqVgDabLfz+GW6tV0XJFD\n2imYXKTh/MdmbC9uZez6JikitruH4UsXZTrQw+eUMfW5dbP3tJrJLzWS7u0ntWExvkc3E75oPdGG\nSsk56uojuNBD1G8hXOXBOhphZmkWmJByCGIFBoYV4qMuoqMuqv0TjCcl1H19bg8vji3j1rX/xKKk\nEQUJLANWst+yc/GGLUxFnHTfVAf/BtFaBPje6iRcLIXKRs5NUFM4TrjGTeHWGIbFZGaBinPMwDUQ\nZeh4L5agTtynElpeQNnTg6T7B0i5FEy7BX1fO6Jll1SRzvKRqJcBqadHwhGNSESKSdhUhC7tstKD\nQ0QrfJg79lPznRYmrmkkfdIayaXp6aPysSEsIbnO3H/fzEl7IojZuPqs8zZR9cpVGLv2U/6fzWy8\n835yWyy8MtSKy5qUsKDxAGN/L2f0601k7bTyk/w2Oi7P4vneJQxdlJLQnLRgfI2XH1z5OO5rBuga\nzSO1uBTrK9uI+i1U/KiFqS/K9ROsBvGm/F7f/uw1TF/ZiLajnSteeZsTr9skE5vPLyPlEKRdGpV3\nt6G3H+ITJYcofWYww4nmGgfp/gGEAemT1rD412NUPDFIpFRQ+s/ZiuEsF1/f3yH/OxIj5dIyPsYY\nOskz1sGWPegnrCZQZSWRIxXrRzf4KHllipmFCkoKll29F/9Ghb6JbMKjbh7qa2J0YzEj+wv44cFP\n8o2GNzitcD+KMDmxrIM15+3FqqTpPxPGVmu42yawhI/ehgPDwLTI5D85y49Xy0sz39NMJTE8LpQs\nH6kVNYh4AqPCDxYNYbWiFuThbu7G/3I/iSyVvD1JwqVWIsVSeMNUQUkKhEPea643QtdMLtrKGeIF\nBr4OgTVskvTKarp1BqwDU4QqwbCp2CdSjJwixbR0GwgTlGE7Hb/KxTliknovl+bf3kfRe1DUHMW0\nKIwPSpGl7+RIn/jRlA9vm4XzL3sP8c9cPvPdVzA0QdavBhhdY6H2L9dy3bq3ubX9bO558Hw5LTHJ\nDff7ZNLkudXDWKufnN2Cd+PQeel9ePuSONUEVQ39fGJBJ2mHibtPwRJUiBRaGD0mm+yKaRzWFJMR\nJ6nPTaENW7E6U0RKDQ60lfH2rnoG3ijHGjHQ7YIdn7+dgVMUTj1tB6owWbWgF7uWZl9fEWeetI33\nh6u4f+wEql/7IuGYjVf66rFqabZPlKKoOlqrm8llNrSIiZLUCS/wkc6yE6pyoCypkzDBqgKZLOTn\noweDMnDM8mK0HcQIhTCCIfTpaUQ4Kqvk8ThmKpnx9v13DL3tIMrGVqmKK0CbfYcGLig94nP257Zk\nOMjRfBVLOI3/zmbKXpVFDnefoP7OUaJFNlxPbiZx1RR534b9X/Oh2w2cEwbXP/sF0g6Vzts38PjK\nakKXufHsGWPimkaZKM0EKL+lmbqfyfUyx51uv09aWS343E5ExyyvecueI+ytAGhYhv35LdQ8KQPJ\nB/s2ApLbuuDGTRnxMsPy4WTQVASefkPa/yALg96/bULf1z5PRZq1D7I176f3J3K/mhP68f9+vigt\nO+sWjN0HOHDDvKK1Fpa/V83LzfCN625tB5tB+30NGK37MKwSxt53Dtzm3821a96h69Q/kaUk+cHo\ncp7buooT9l5A1LBx/Par8ChxDkz5ebS1gZ90nUfxRp3I1wP4mnuJZ6sk81yUvqwwscIDhoH1lW0E\nP7sB8X4rapZPcrDfm5LiRk0rMFNJkg21OF/fjTIVQq2twdM+Iztlmvq/Lad/eeiDw1KF22rJdHn1\nzm7SwyNSkX55vbR+jEZl4mWxkvWPVmInLiFrfxDLni7iVblEim3E8hXiWYKhU/MJ1OloCanUHSkz\nMAXYphVcAwqxPEHZG1GKm2NEShxYwhCqcMgzujAXZWsbhXc0Y8TjGZ5p1l9aMHYfkEnfumXoa2TD\nxPvoJslzFuJD0PgPDnPb3o8tQHyUUvfcODzpmRtzqIAPDnX3kVDayKfWf/g+VAX33lHYsBxlOsTM\nqjwin16PYYFglSykhqvTFNjDYDUYivpQMZhMuumI+QnoDkZTPnYFS/EcUjDsBolcg5QHstsNlLRJ\nvMyHo3s6833TPX2y8777AOmhYUTLLsyiAky3AyMaRQ+FUDftQ5+YRF1Yjdkv3zW1bsH/2Tf7QyMt\n7WrhMNsxVYp7qYtrUWoqUUanUDwe9IOdGIW52N/cjT40ihbRcR2cIFnsxZi1ZMrZA1okzcRSDeew\niaGCfcrAOW4Qz4dgpULCp0CbB9uMiWMogjVooEZS5L7UiTBMuZcHQpkEOFFTkCmMpLt6KL+lWeqi\nzKKHjfGJI76SPjGJ+s7OzBzDfDwER4oh6p3d0mr12NnCWcOyIy3PnDKvSXf3zqNwZ3MYZXm9jC/y\nclFWLsb20lZZ9AD0yalMIh343AZYvIDY+gX43urE9sJWogUCa8TAdNpBgOF1EP3keiYXa0yt0tHi\nJjtjlVhCgumAi1f76nl0xZ/IUiPcO3oSedYwY1EP//HEpTzU1YinMMTV717JVGs+Sa+g65pqXEOA\nAu5BA8e4ScHjbbh6QhS8PUran8XQd5oy4tGBc5bBrDaBkZwVSvZ5UJzOI9EnysenykfbiS40TXMV\n8IBpmscAdx3l9f6lYQrI3jXN4Gn5GFZBzm6Bc1xHzMatagymV+Tga48Q9Quq/9hDpMhG0mcluCgL\n22gU695+Ip9en+HZCH2+iq/PBNCnZhBrlsigpe0gFObDxDTFv2lm8kuNODd1UnB3MyMX1SFstoyy\nnXN7r+wc9I5kFl/kMORJ/KUCHI4kVS9fjbH7APbntnCVb4TOz2kYU9NYA9IeyGxcQe01sloSWC8T\nEd9ZnYRLVMydbXxrWFacduyqYfSWedW7Yxydsgt4bJrJqxsp/plG/n0tXHXzjaR7+nA9KaHkBU/L\nhdP/H03M1DkRaXmPoUs2UPWDFqavbOTQZzQ2t9XQ87NGdIchgwIBHXfJzbjgbhkkCJ+XotfHSPf0\nkThzHfk7I2Q/1EL3LxrlJvGArMQrSR01Lw9PdwTbC1sRxX5iJyzB0xXGGjKwhNIYbiuRQgXHBaNM\nL5bqhq4BgRZUWLGkl6ShMhrzckJhBy0TVfQHffx071m0TFWjx1V0GwTq4I27GwlOuOg/xYYIfbzH\n2786DE0QW1uNqUA8D6ydDuK/KQYTOq9QsQYF0SIJBY2UOfF16SR9GraggeedDtLdvTIptgjSXjuR\nT6+XB8nEJOnBYSwTUSauacTcugetupLEmetwPr0Zy1QUNZ7ObPS2l7bSfrfseuTd34K9Y16t2PA6\nUd/egdA0kqev5bH7TmWmRm5uK1x9mQ7NFw72svqn1+J/c4hF91+H5cwRRF01oRWFTK9JgSmfbe1f\nrqVgGxRdsJ/OE6VycvcFfyCwcNbz99Rhzli4j8lFdnp+2sjkeTEWbdfI+VMLWlkpNTdvpWdjOcbx\nqxg63sV4g45wOhhPe9n6H2vJ26NTcE+zLGYp8r3TSor5Rt7bjJ5cTPFvmqUXY/shJq9qRLfC2Gob\nsepcej5bQtWdB9BzPYxd15QJcOYOhbQ/C2fLfBBhNq4g4tdInLUO9e0deAbT0i9w1RKKXh9DmCbe\nLpNQleCdrYsZazTR+51U1ozS1+7H3TDBijWHcFmTBNJOUqbKbZVP8/ZDDWw8uJAtry1BC6hYg9B7\nUSHx3H8DyMcwEHvld9C2HkRomtQVsNulJUNeLmJ8CjMaw9o/KfebPR3ogyOgKsw0lWEW5ZIuysYS\nNRhfacU5liZvbxpvXxrXkIlzWGCm5L2O7/CTfDmfaK8Xb/UMyTMCRP2CtMvEGpTWZfHqPHydMFVn\nI+nTSHqFhHFpMLlaBqgV9yiS7/rUEGctORFTEQSqHXRdCfbsOPV/vJY12y/m11M1/PXhU9l10z0s\nd/aRv22Gb+Z0sfPme9j3fB2//PxDtF9+Ly8MLSOR0sg5fYhjd19I99kPcNYpFxN6qogfjC6n8Ddd\n6CVxtv30XtZak6zbcTFaKMkDz51GMGnj7T31JEuT5OxPkvIZRC4I4u1NU/jVGNk/d+J80kf2bQ7U\nuKDsXg13v0LtQxEW/jmJbdok6VLI2Zfg5B/ciLddYZW7FyFM9o0UsjxnEKc7wXcL3uL2JU8Q0y24\nvHFOquhgXWE/2fYYoZid1IwdT5+BJWRmCg7OoRiRQhuWiEE6DQ99QAAAIABJREFU1wFjk1j2yjPD\nmAlkUFKmqqA4HKgLq1Gys2SHZGQUoWkIvyyumB5XJsj5d43gWUvluTgbtJU+PRtkKfOJU7q7F+P4\nVRS8O57pwk4sd9J9WyORUlPaUX5GivcEduSRuDOB96CGf+EEw02C2r8EiearFL9rkmxagmnRQFUz\n3VuAxJnriDZUArK7DNL/2fPYJsa+2kT1L3YTP7cBNS8Xz+Obj/wSW/agLK9HmQ0u75mcFcG0WFFW\nLCL/Pvl7Cr49r3g8h5KyvrwV38ObiBQdKQA1F4B1PbqSxc9JdV0jGqXix7MK4zNHKlZ3PrwK5z82\n4xmQAUrtF+cTrLKfSR75xNm1WEIpQpds4MBPFrL4B/10n/cHBr/XRM7+FPFcQd0foyx8+0rWOeQa\nuWTXF6l3DPHH0x6kdzCXxfYBBPDLd88m8Vo+l67cQuDxElztk+RfFydZW4QWN9He3I5rIErBe2OS\nS7m8nqxnJSIttaIaUb9AFsNPKUA070LYbFIXxuORXbLu/nmub+rfsOZUuZ7MdFr6A8c/Ajm2og5l\nOkx6cAjF4yGZJSGq8eOX4nh7H7ESF6gq9vZRsjcNYgmamCrE80yy9imMrxaESwVqXBCpTqHbTGIN\nEeL5Jh1XWBg8zoF37yTZB8J4emIoUyGGTvJhptOEPrNB8ot9sx69QhD87Aap4L1zvyw+zDZdzETi\nXxO+UtQjPqdVVcju9Mck1kLTMvvBXJLyoWmcFRcb+P5sMcefj1i3LPNz36bZ97dhGcHPbkDNzkZJ\n6Uw3FKHsOURgbTEJryCWo1Dw5AESpUl0t0FWSZCXN62grHSSSvckuVqYMvsUq929DMay2DhVw3jc\nTWCxjqtXw8xJYh83CZYruHsipLyadJpIG9gGpPaPEY8j1iyZ7wK2HQRFyVj1zXU5RSyBKC1CWbHo\nSM7w0Q5Nk9z7uaGoGKEQwiph8iKVBlX+P8XlkoWNxTKJd+wfhtEJQmU2tECCQKWV7L9tRdvZQflL\nM6TcgqRHkPPqIYQBhsVEGGAqoCQk8iFW4iLtEIyv8TBzcg223in0QJDU8spMAmyqAq1IitjNJfxm\nOp1BHB3Bf57zj55dUx90IJgTJU2cvU4iRgFzOpChd2Y480KQPnkN4v1WEmfKRthcp35OwdzYfYBg\nYwX6xGSm4GPrGs/8Ln1SFh98D29Cd1lw9AVkgr+4lopnprAE0xhOG4lsUIIxBk6TBS7HkEbKJTgQ\nKcQShqbqQxR5g3Sk8vjJwXO5ueglnmxdw8lFB6XQXVrFaU1RVzFC7l4TJQ3xohSeAZ2kW0VNGOTs\nDiJcTkQ8hUimUNq6KHt6GDMak4KZj2/C9M+iXqyWWaqEBarLM8XQ2Yn92KV0tJHe3GkxZ1hWdzQX\nE0LcLoT4mRDi+0KIx4QQhR/1OXUmynhDDr6eNAXbIsRzBRPLFUwVklkG9imTkRN0xho8uIYN0iW5\nCN1kZqEVT2cIpWcIfXwc52CcqePKUL1elKTO1BcaEWuXyskzdMztbRihEPFzGhDhKGY4gn7iapkU\nWi1MfqlRHsJLF2TgXHjdxE5cwuiFtQQv3YBWWY6rf35h++9qofjHRx6kXx1cT+4WDSMSIVwGQ08v\nRtvfw9B3mxj4fhOuJzejlZagvlVMwV3yoG75dQPXdnTSdeH9WF+R11rXqvPln9yA4nJx8bqtKGlI\n5NjQKsowZ6Xz5wKEyYtkYln202ayH2rBN7s/Zb1xiNAlG2QSfN4fqP3yVnLaTAo2C7oeXUnFAx0s\n/Opm0ietoe/HTYQv3kDvxcWMnCiv69o/mpHYdw4J1EhS8vicTkTzLvTxcXrPkoqTRv8Qzp4Aaa+0\nPLCNRYj57Xh7dYaGctAr45iaiX7SDKn8FNm2KJpisHegmNeH6rAoOmv9/TSU9LGrt5QLV+7A0ytI\ne3UsnxrDPmDFv03HdH+8Qf2/OkwVRjZYKNgWxrCZlL4RJVBpQU2Y5GyyEKlNUvFSmmi+gm4RJHyy\n8jizQEWvKUEr9ON8ejOe7himRSHpVghcsBJhtxE7dw3G3gPk3d+CVlVBqigr49WZKHChBmLy0JtV\nYvZ0atLvHGlb0X6v/Hu4yoOanU36uOVYX9mG/4/bsYRNXhlq5ZF62UUa+k4T/11XQcHWELY/R1l0\nsuxohup99J9vYBuyUHjftgzEy/fcHvpvbuK2iTqeHdzKNQON5CyeoOrlq3llYDvvPbSO/PtaOHjV\nvSy4JcobfbX03NrID955FqW2mgNX34spBCW/aKb4bYXBz9fx7OJcHO8eIHaYnVagUlY+Bz9VyZvR\nBeT+sYXxrzSipOUB4h5KE6xU0B0QKbJSelsz+uQU/ad5MVXo/qyfyS81MlM7qxa7ZQ+T584rUXZc\nZSH7zy1gSm7RVJ1FwmMjcSYa85lalU2oShAvT1KzeAgtN4aSFPidIb510otsXf0EB8b8WBSdM727\neLitgUt3XIVx8jSWfiuJAh13/TRqHAq2J+HfcM67fA6+cfdV3HD/NWw4dy1qfl7mcNSDYfSJSfTR\nMalw3zcok+u8XIRFQ9jtUnuhsw8UgW5TECbEclVMBRAQqoBIsYmIqzh7NQwLFF/YQ9Y+QSxhIRK0\ny4M/JVDOmCDlFgwdayNvZxDXqMFUvSoPrmIPzlGT0tdNar7TgpJIU/ZYD4mKHPTpabJ2jGGJGmQ3\n2zDa3eTsMwnuy+W+1k8QXRyn6sWruXXfWYi0wbodFzOmR4hUpvnuo1cCsDxnkF0NfyP6SBHhFwp5\nI6by4utPYA2aPP30sYxGvSz8XYqlmy5j+WNfJxS1MXCyh+qnQritSewDFkqe19Ad0vLO+poX155h\nhs8qRYmmEAbE/HYKtqcRuknh+yFEMo1pUTAVQVZnjES2hm6BwGKdOx68ECFMLly4i/eHq8hyxngy\ntJSuZAG9wWyur3uHVzvraR0vpu1AGYm4BYRJ2inQYiZFLw2gO2VHIbt5ANeb+7Hs7pHPdSaAmp9P\n4uQVKLPFP72zWwpmjU9KmNwBmfDpq+vYcEI9Nz71Pb7+w3Nw+Y5+n3PleLjxqe9xw/3XcEosjbm9\nTVqYbFg+36kw9Exwlzh7Hco7O9EPdpI4ax1i3TK8/WkW/PoAea0m+sFOyi/aQ9dF2RRvTNG3vYRg\nXZrwW34oStB/ehbGhZNMrFDR3tyO3tHFwZs9qPn5DH+zSdrQuRXGVsv9YW7fA4if20DBXc0YkQju\nrb2MXFQr4Z4fGJmuoc2W0fQwU8kjOIdzPtOxCxoy+gmBz8lEw/PYJj65b1x2VpCFg94nllF9aSu/\nLpy1hTkMCq3n+xA2W6YrueBzswX22QLA5JcaM8lN+KL1uP++mfw3+4kW2ZmpUSheMI6Rl82y315H\nPF+KtOUcTFN9byfWvU4OJQuofecKpgd9eNU4dw6cwosn3sm+eCk1ORNg02n59h08smWDdKYwDAbP\nLyNcYsO3ZxKxZgnm1j0wPpWZHyMSIfjZDVgPDjF0qkzS/PdL8TMzkZC2N7Pz0vjJ9dz49+9y45+/\n8e9Zcz4HN9x/DTfcfw3r6qQK8BEeuEKgDk1iBiTizgiFcAyFMY9ZifW1nQi3C1frIEYwTGJBASOn\nl2KfMchuT6KkBOEKaXeTdpqkctMorjTawhCiy4lRHMfRZyGRaxBelEP/KR76T3cRry3EvzmKVujH\ndyCA6B0iWuJAzc9H8xfg/dusBdlc4So5b/c5t07+p6GVl8jmy6xacrq7V8JfVTWTMAESYQIoC6sQ\nB2c7grlyjlR/AeqihZnP6sEg+kwgo8eT7upBHRjPJE3pwSGZTG3ZQ/bLB9FnZkjkOXANJYieuATd\nKphakyaeJ+i4qR4RVymsmOSk0nb8CyZoLOimxj7OaY4pSq1TvDS5DIuiMxb1EIjbwYTkqjC2Tjsp\nryBvb4pErh3bdEraL3rtiFBkHla8txNjYZmcB7cbfb8MQo9QJNd1RDjK+tpcbrj/Gr751xtx5x7p\nj/x/GS6Xla/dfI48W89Zg7BoaGWlGX64OTWNEQzJe8uXSZYaiKAVFcpnXpCLtzuOOhEg+6B0Aomc\nsgRTFRTsiBKshuGLF5LwCXL3mKSdUmMkWpXCsIBuVUh4FSwRk6xto4SWF4BQZMFOCNQldUwusTF1\nQqXkHitiHjXzEUUmY+mRatziA53TuXXq2t6X4fsaNSUfuo5WWoIWkWvZOjOrBn6YONhcAdHzVvsR\n/27ubJijKRihkLTt2tjKWKOcv0SRB2GaDJxsJV7sRI3D8Gl+rFMq1rCBa/0Enn6d9w4tIFJmck/Z\nq5ySf4DdsXImp9yM6E6uXNNM3LBgXzLDpTXbyHNGmIk7MFSJmih9WcF1aIZ4jsA5ECGwyENkZRko\ngnhNAcaSakkNGR1D7+iSlI2+ocy8mqqCYbcgDIPGtRXc+NDXufHx7+LO+fg1d7RJdKkQ4lygXwhx\nCCg6yutFTNP8oWmaPwd2Aj/8qA8ZXie5u4OEi1QmlzlRk1DUksZUwRpQiBQLqp4ysQakpcHoBg9q\n0kSLQdpnQ7hdhC9aT7DagfdQBCwa6kSQvK3T6C4LyRwHsQsaMrwW+/NbJG+qsZ7RNXa0ynL00TGs\nwdnkeDrC1GJZrd7/vRysMylMBbK3TxCt95P7YAtaaQn9n19A4sy1GLvmoV9DTy/mpY2ryH2gBa2k\nmKoftBAJ2Rn44hIwwD5l0rQrSdfVFegnyocd+dR6PI9t4qYnPs+Z1RvQqio4vXglW1eq5L8m4T6t\nqyD7oRasr2yTPngXSXiUmOXSVV87mLGf6vpVI/5/HkJ9qxh9fDwDDzq9eCVaWSneRzfhe3gTC65u\nlwepENj6p1FSknNd8otm8u+XsPV0T5/0P3Y68d/ZQqguCyMSQcnNIXZBA+qCKqp+3yZtC+qrQQhG\n19lxDSdIFLiwTaXQoga+nVb0hIrQBcsKhlHsOgORLBxais4T/5scR5TPl2xigXOMLYPlqIN2/rFj\nDaHGGPZhjYcX/xklAe63D2L8Gzx7tVAa/+YUfWd4cPULDl2tMrM6ScSvkvII3AesTC6xElxgMHKc\nKf1yZ3R0K8SKHBh52ShOJ6amML7cjq87jn0qTfj4OiwhHfOYlSgrFzNyWjGWXhmsqHULsLy+HX1/\nB1nP7M74o5c+PybVkGetMMpfhPY/yM71wBcWYdl8gOTpa2l/YAn597ZklLIBwvVJtMpylGCMfyx4\nje5pucENnmRS+8VtFDWniZ+2Aufb+6n6Xgujly9n33X30BvPwSYs9DTEyP1UP9qYvJe5ok7de5cT\nL/GyZ/2jVN7cwkvBFYhQlNOLV5LIttD392X43umi9LEu4uc0ED1+EZhkDvjil+TGnrs3wSNfOxs1\nP5/phhQJnyDd1YPtpa2U3dpM2U+bMQ9DEFb8fYR4vkn5T5rJ2RslUiQwjltF9ML12AK6VCYFaq/e\nRv9/NOE6OI63J0FhSwhRWkj/BX6JYDGh9PUo6IKu3SWkkxpGRZxg0s5vNp/GU2EvFk2nezyX69su\nI9sX4Z6VjxAac5PM1yl8VyH9fg6pkwOMrbZi7/14X8V/dUSmI9x+1d38/ht/ZuNgkPTIqBT0cDlR\nfV6Eps3bTTjsmEtqMNNplOwsTKfsVgfOXU602IHnH9uwzphYYibOvghph4IwwNMD1kmFtNNEKYsw\n+GwlnDuJ2urBYk+TyDYxNDBfzMVy2gSmajLW4GVimYq318A9qGN/bx9JnyBUopE4ex2pLBsd11eg\nvrWD2AUNDJxbyHStSsVlnZS+kSRtF5S+maL+e2P4ttrx5EVQX83mxdceZ2LIR8gwOW7FAY4/cyfr\nv3ctz+1awdJNlxE6J0zr9+/hhvuuAWCmTsG3YQz1qw4SeQ5WFg5i2Ezcr7iJ+w3G1nrgx7n4t6Zw\nPbUZLawTXxaj9JJuon9SsZ47zszPEoycksa7pZ/+MwSRYhvJbBtTK7KJ51rxdaeYqncwXaeSzBJ4\nDqks+eQBXNYUW6cqMAyFqbCTQi1AjhpmVd4gW4NVeNwxUrqKqyCCMWbH2WPBPm1gWAQDF5ahWxSC\nNW7SRdky4CgukFA4rxcSCZy7+iXkbjZZFZomE+zcHBSPW/puNu9iU/Mhfn/NA9x+5e+JRFMfs5L+\nH9ZcMMp3m9/ljmvu521UtKoK7M9vQWmVQZO6aKGEVc52Qw4XubG9uBVTSJi3Pj2N57FNmE0rpAin\nwyRUZkF3G9Q9GCNabGBMWREGXFy5k7oTD2E2raDztxuwHXAwcPlCiu7YTP62AO6/b+Y/P/8IysrF\nOAfmLYLsz80rXKdHRsm/t+UIuGfPT+f5xgN3ejLdLfWt4g997zkEi2e35AhPXNMo0SizkL6nF+cf\nwcee0xKZs2hLuTW0ijJoWIa5dY9MPBMJ2u/+MNc6Z29UJrFI2s3k1Y3oY+O4u8J87jNv4L0ijO6V\n8YRjROHajk4e/v1vuadkE21fvYenRlbj2OLilNVtXOAKs7u7lIemm/hL93paW6uxd9tY/rdvIKwG\n9hmD/T/MIbA0xUytQrzES7hSwsmNcETy749dyeTVjdiCOmYiSeHtzSTPWIeZThM/p0EG1hVlgOzg\nv+BMc/tFv+JXf91IWD96rlRkKsyd3/kbd970GJuekw2BjAeu0ym7a/Yj0QCmoqAk0qh11ZiFuZhu\nJ2puNrbeKXL2x3EOxZmqt5FymfgOQqo0Sck7SQo2arh2OmCXl+L30li67ahJsAQVonkqufvTVP95\nEO3N7Yw2OBk/o5pYsRvhcOAcjEkrrJFRYhc0HNGp0oNBJr4s11v27pmP/J5z3UJlaT1GlhszMavk\nrqgyWXM6EQ5HRuxWq6rIdP/0/R0Y0ShqbQ16+yFQVHkWTAeP4GvPjfDFswWf4RHSQyNoJcWM3NgE\nq6Sl0ejF9Siz8V+owkbSq6CkTdwdsqDgXzmKFlS4tfafvNi1hBtrXucYdzs6gmE9SUi3c17eTnaP\nF6EIk7UF/Yi0wLbdjWPcJLctxfhKC/bmg1jGoxh7DyBME9PlQHg8JM5eJ9+R7W2yI6zraEVSa0gP\nR+ah38MjGP4ctrQOccc19/P77z9BeCL4/7jCPjwikSS3f+le7rjmflqmdfksDlNX12cCiGI/yeOX\nQTwhO7RdPRjhCJF1lXJv3tEOmop1aIZQUxXWYBp1LMDoOicFO0yEYRIpESgpE91u4hoxyNmuES9P\nMnS8wP/WMCmnQKR13PsmMRuXkf1OD+FPNxCt8OL/fTPev22SPOTObilA+TFDbT9SPf5w//HDhz45\nnVm3cyg3mBXwQzZl5ppg2oH5a87ZsZmhMIM3NX1IaE8rK8U8ZiW9Zx9WAJm1vMrqSoCiMrHcxsgn\ncvD0SKqMqYAaMznh1FYiBSoTY15Kv9lBTeE4Z5+8lTXvf5m2cDFuNc7Zi/by6/4z2TpdQcLQiERt\nPH73KXS9VsVoTw7xHIFjRCHlEoRrs3AP6SixFN5HpW6Qvr8D256+D6nUGwXZ6KFQ5t3UO7ok5W9f\nO+//8SV+99tX+d1PnyU8dSS66PBx1OrcmQsJsRxoN03z6FWc5PW+D3hN0/z+B3+2v2vE/NoVDwIw\nvsKJqUG0KUzNL9JML/FK7qRD4O1J0ne6FSUJriFIZAkKtyQY3mDD02fi7ZO3OrHEgf8PW9AblxGo\nsePpS5J2qkfYUKgLqmA6ILkbHd2MfXE1jkkTLSYDo7kq85wSnrpoodz4jluFumUfakE+ZiBI9Jg6\nCeVrG2b/t0tZ+I1NdNy9nqy9Cjn7E6hv78goY8bOb8AaSBPPteB+Zjsv923j1ol6Nn5hDS8/90gm\nOUq8WsnwliIqb5bQtMNtEQ49upKaS1s/co67f96Ip2de+GTgB02klofR9rgxLVDxTAAlFCVZmk2w\nwoZhhdwHWtBPWI11OIh+sFPCmLJ96Nkuho/1UPr8KMOn+Sm4qxmtooyey8oovW1euVuEoxKS5XIh\nyosxB0YInrkE3QKOiTTRAgtTZ8Ywh+1YQgqfOGsnr25bhr9yiksqtuFUkthFkoDu4pOeNu6cPJZI\n2sYLe5eiTloQukCLCBJ5Onk1U2Sf3cHdu35L7bKyo1OtPThsXnzXY/i3hAjWuJhcJnANSDP3UKWs\ncvsOCqJFgvxWnXiWgmtMKil23LmehV/bjFZZzshpJfh6Utje3YsoL0FvP4TqL8AMR6TU/qx1AUjf\nvjmBkdQpa1DjOsrG1owS99QXG/H2JNHelDBt8WYJ5kkyGR1/to7Czw2jB4PEz23A1T5Fxxfy6bj8\nXk740pewvbCV9gfWUfulrYQu2YDQTdx/38wrQ62cfcz5Ge5V+vVyAo+VkPfXHfMQq9k17njHT9cz\nNRT9dp7798pQK6eXrKLnpxv486V38ePqNeQ3ZzHx9VKUaBLDZmF6mZesv7RISHvaJFiuYZw0TdEF\n+wlctgHfI5s49OtGqv8RJVjtYGIVUJRg4c9jmAc6JezvA/YhytJ6jL1SYEPYbKjFhaS7e9GqKhg/\nvphgNTiHIOYXWMKQ25YikaWS9Ah0i2BmbRLvbiux9RGEYuJzx5gJOfC44vzX4if5wmtXk1c6Q2Nh\nN8/tXoHNnaDeP0b3P2uIrQ+jHnDjGDGZXpei5mGD3z38haO3Vds/ZF6/5BsoTmfGuufwd3vOIUD1\nFyCEID0yirpoIWImhBGOYCyqRBsLgBDEqyTsVxgmU4tsOCYMZhbKrrRhNUnk63iLQkQidvSgRdIo\neqT1VSpLxzaukrfbYOhEyNuq4OlLMr7ShqmBu9/AOZai9yqdqvsFSa+FcJFK7t4oaiTJ5G1pXL/3\nMbPAiq8nhfP9dsxUmvBpSwlfGSD3DidJr8bg8QrF75ky4f7zIVI1RXSf6yDrICSyBZ5+nUC1ivWY\nSaYn3di7bSAgd688rMfWKpSsHcL4vR9nfxjTopLIsdFzvoJtXKPix1Lwcbwxm4LmKaKVXpxdM+z/\nZhbevRbcwwb2iRT2nkm6Li8mUZmg4HULk8sEut3EtBhoYRVTNbnu9Ff5rHc3V3ZcghAmbkuCiZib\n/rFsSvJnsKg6fWM5OLY7sc6Y5LUGmVrmJf/dYZIl2VhGAqSKfWiTMUybirm9TSbMpokxE8CIx9Eq\ny6XwzawS8JxSqLq4FrN/OJNoCJsNM5Xm7tbfULv0KFVrd/Wa137tYZSNrUcoTWtVFZgOGyIalwHl\n7P4w/hWJxtLKStFHxjh06xo83ZB/Xwvhi9YjDOlH3//kUso+vRdleT09F+ZQ9cQE3Z/OI5ljsOCG\nTWiV5XRdUUrFswESfidT9RYsEZOp4xIsvHwHM59vJO+9QfovLJVoj3uaCV66AWvIYKpeo/i/NkPD\nEoaPmXeKmBuq18vQFUvx39k8Hwx+QJxobj/pfHhVpnM8N/QTV2e0FQ5/F0dubMLTr2coUnNj9GtN\nCGOe7gSzCupWC6mFxay+s5Xn/95EVqeB+4lNJM5ax0W/eZkXz1yJGQzjfk5h5Dc1XHDr69iUFC+M\nLmM07OaE4k5sSpoN7k7Oc0VZ8LevsHRtN3v6ijGnrbh7VbJOG2Yq4iQet2Bpd1L+n8303tJI3i7J\nTzUsInO/6uJajEO9R8xF+uQ1WIJJDIuCaN5F6pQ1WKfjmNulGGj4mKqMfaaw2bjrvZ8cvTr3jm7z\n+rXflTQFjw1lY6tEXY1PSh6nEKgF+eijY5l3Qiv0Y5om5GUjpgIk6osxLLInJHQTW+8Ug2cX4d8a\nIVLqIOEVzNSbOIcVLCEJr51sTEFa4Gm3YFgg5pfqvt4eg6llgspnokysdGKqgqI3xtH3dxyhyg1S\nC0d5f/cRHrkfHJk18xFWU3OWlP/TmHNCmVOwnhuHK8zPxYxyAgTpk1ajvbF93uZow/JMcjRn6zb1\nxUZMFWwBk+GzUhDR8HSoxPNNrjj3TV4cWkK5Z5qlniG2zZQzFvXw9eo3GE1lcceOk7h+1Tvct/dY\n0kkNZdSGdUaQ8ph4u8DXlcQSTKJOS1E+rawU0+3A7BvCTKakwvPklHSQmAkcecbNClkxEzxirkGq\nmN/57n8e/Zpr7TW/1nQzRiKBYrOh5OagF+ei9o9JIc+yUsxkUjphLK9HDI6hTwdQlteRyHOgxnUs\n42GCS3Px7hpDz3GT9lilhkRMZ7rOQc7eMNOL3JICmCtkB9oOyYoEBa9Z8PQl6PqkjZonY3R+WaPi\nMYWZGgvFz/RmusUfNdTcHITdntFlUPPzpRbKrnaSxy/LqGnPzZeoKCVaky2tUWfnWfV6MXX9CHun\nxFnrsL249cO/b1ZgK35MPY7mg0xesISc1umMoFnk0+vx7RjFDIYwozGMaJTwxRvwHAqhjkyTKs8n\nWmLHfSjM8Cd85O+KE6ywMbnKRKQErkFBqFrnrMZWDATLXf28PV3HY1VvAvCHQDEuJcGPtpzHU8fe\nx8WP3YClNojNkia+JRfXoHyfE1kC24yJYQH3cBrdqmANptFCSdRQHN1jx7SoWIampWDcbI4GZN4t\ndXEtYiqQcUOZW5N37/g1tSsr/3+zuMpmHs59tWmaP/pfPv8K4P+IH/3INM1nZz+TBTwNfOqjbLOG\nJoJmcDoKAkTaQBgmhkXlL727eeEZaZ3kHtaZXCItMkqfH2Pg7AKcowaWqIl9Kom1b4rwUj+TizVK\nftmcmVCxbhnxfLvkS65ZIg8Pr1dWxz64Uc5KxJNKY3pd6PvapeT8TAAjEjnC9zF2fgNja1QqftTC\n2HVNFNwzm1jOVRYPGyM3NvHbr97PWluYM791I9nvdEuV0XMbyP52L7ETxuj8r/UYbp3LGjaxdeV8\na07Nz0cfH6f9ngYcQxpltzYz9J0mHGMmE2sM/C2C7Nc6iK+sxPL6dnpvaaTiRy1MfLmRlEeQ9JkU\nbk7j7JpB39+BVlpCeGUJjpd3fEipbi6ZmryqkdwHj7Ts6PvPJip/sUN2x7a3SeuKzgHZTfW6Sed7\n0Pb1kFizAFMVhEot2GcMghUqzhGDcKlCZIkUCrNPCpR6taEQAAAgAElEQVQTpvA54lxZ3kxbtIT9\nwUKm4w7+e9FfOf2VG/jlCU8wmL6JU3OPkx3OCNJoPWGS5bHjLz46i6uR0YAZHJ5B99pQ4wZJr4ol\navDsK7t57a+bGF/twfrJMaKv+HENGzhHk8zU2MhujxMus0lvxLYwkXInhirwPL6JwGUbcA2nMDVB\n0qsSKlEp/F3zfPBcW0M634OlZ0z6E9YtIFXoQXlnJ8JmI3ncUrRIGsOmYh2Y5tAVhdT8uk2qxM++\n/N23NbLwgaEPCZIoLhc37W7h5zXLCX52A96/bULNzeG2bS9xU9V6xr/SyJ9uuoPvXvZlxle5KLi7\nmZ6fNVL5wxaGv9VE0X9JvvKmX93H2atPz1TMyze7OPDLpdjHk6S8GlN1FlynjhJ92Y99yiRULnCO\nmBICtbGV+DkNDB+rggnVTwQxd7bR/8MmCnam6L3QxHlIWqxFynTq/+MAqRXVGWsdrbSE/d8rpfbB\nMFMrvGQ/1EL0wvW4XmjFTCSInd+A45ktzFzeKK3vggbu7X3MHFuBbhWknYKkV+AaMhg5zpCcHK/J\numMO0NJeDYbgv0/4E1/afDkXLmplz0wxL9a9yLG7L2Ss1Y9ZHuOqpYv4pLNJ7kU6pJ0CQzPx63b8\nRUdpcdXaa37jvNszewuAWLMEpW8MY3oahIKp6yguJ0Y4/CEu3lxhQSstwYzFmDm1lqwd40w15OMc\nSxMushCqkAmiY1wQXJrE0W1FWztNJGzH0mUnvSBGad4Mvb35KBEVLSzIOgjWsIRz2ydNcvbF6DvT\nQdHGNM6eGcK12eg2haRbkHYIsg8mmFxqw78lQrTIjrsrTLTCxfhKDXefScFL3cQXlTB4gpWq23bS\necsq1JjANoW0m+pP038aLHg0SbTIxsxClfJnpzj4FR+eQyrWgEnunjDarycI3l6GfSyBaNmFmpdL\n75frsE2Z6DZB1qG0tLEZlXD7sdV28nYl6DvTgpGfpPAFK9awTrhII1ALemECmyOF1ZImErXRUNHL\ncNTL6px+3hupYVnuMAlDo8geoMgaIKTbWeQYZHukitcHalEVk8kpN3mvSVi8rzuOtWdCilfW1sB0\nEKO0AKVvWHL0crPQ97Wj1tYgkilp67JiEczCt414HK3Qn0my58ZcMP1vsRvadsj88g/+fkQgBrMc\n4qoyTLsUxxJrlxIpc2Eq4N0/fYRa8MD3m0jkGuRvBwRkbxsnuiAnE6B1/7wR3WFS8raBqzuEsWs/\n7X9aS+0Xt6FmZzN4xSKCy5JUP2piCnB0jHHwq6WUvZ7KUJfmzlDZQTVxP7GJ9Mlr0N6Q9x29cD0j\n6xWqb5LnklZZzr7vFVL7FZkAdvx5NdnNNixhE1vQwPlmGwd/tRQtqFD1/fmzTKso4+BXS6n5zux1\nSooxXY4jzmx1cS2humycT88mp4cVQg8vRBw+Ip9aTzxLIffBFnpvaaR4Y4qJZVZ2f+uejE91oBae\nueS/2Jcs5FPuILuTcc5/+et0n/cHAGre+AI5b9l565bbWffAN0k7TX72yUe5Ze85VHwrTM8lJZT+\nvJmRG5sounML4fPX4H23CzMUwojHiZ/bgLt1iNiiQuxbOog3LMTy6jbEumWItkOYi6uPsKiZs7QR\n62S3XV20kDue/hr1tUVHt+Z295lfP/ln6FPTKG63hPDabNIB5QOJ45wdzeFDXVAlE67qYul765qF\n/ufLP5NugZIGTFmMi5QZWIIK1gBEi00ojeF7y4FuFcT8JtkHTKJ+BUMF56iJazhJtNBC0i1wjRl4\n3mpn7NP12GYM3H/fjFboz5x/Wlmp9LL+QLL9v42JLzeS94fZJshsLKpm+Y4Qg/qfxtwzgfkk2Wxc\ngbprtoO9pA4RjKAX+JhY7cUSNokUKZS8OUP3hT4MCyw9ppN9by3EsJiYlTHuaHiMBwaP5xO5HVTb\nxngvWMuN+e/ySGAVr44uYvylUmL5JqIygnLQTSI/jeJJ4dzjwDVkkPvOAHqBD3UsQLokB3U6Ki2l\nunrm97GVtSit7Zn9bM5m6HBrtbl5UP0FGJNT3LXptqO28mtv7TW/8em75i1uD1tXitMJhiET/ZK8\njE+44nSi5Oeij4zN2gwqmP5cQvU+XE9uJnTJBlwDcSzjYYZPLiCeJ2mAnl4TS8Qkni1InBrE8raP\nYJ2Ot10l1BDDudtBpFyn5vEkpipQkjrBKgc5rdOQ1tEPdh4xH2Lt0g9ZRykeD4nGOpSUMS+m+oER\numQD3qd2fKw42+H7FnzYuu3wz002+sn6y6zW0crFBOq9eA9FMmtQKykmucDPwPEOSt+JkbarDB1n\noWC7gW4TTF0YoeARB4MXpTBiGsKmY++w41o/QY4jymUlm9gSqqHYNsMC+whPjK7jlNz96CgMJ7P4\n21vH4N8EwyfpVPwT1KSBZSpOsM5D0i3wvyFjXtXrJb2sGiWRRukdzVBSEEIWT4oL55EfleXogyMo\n1eWZRoVWWY4+MMRdzbd+7Nl6VEm0EOJBYA0whWQBlpumWfM//6v/9Zo+4B7gZtM0uz/qM+37h8yL\n7n0cLWLiHkoxfIwFXwfk7JwmWukl4VMIlymYQgq4eHrlg4sWCuwTJqEqWPDAIHqel1iRE/e2PobP\nr6LouV5QFNJF2SRz7NiHwxnelJrlA1VFn5zKdMvmgvS5Ra2VljB2ajkz9WQO746717Pw+vlKteJy\n4XrZQei4CaIXrmdstULZGwnUt3aQPH0t1le2oS6upfsnNgqzgqTvKcT59GbUxbXo+9pxvOMndvwo\nan4+qfpSlPd2Zg6ajr+sZuHlO2Q3sHglY9c14W8JMHC69M9UXC5CZyzF9dTmzCZ/eKKvlZUyflIZ\nudunCdf60K2C4U8YqL4UNb9Lf6iKqlVXEljtx/tWB8LnxZyWG35qeaU0XD9+Fco7O2Uw77TAlj2I\ntUsJV7jwdAZRxqbRS/IIVbmwhA2m6y1YgiYzi028HQLdIfCdMcyji/7KV7ouYjLm5M+L/8LXOj/D\nVWXvUagF6E/l8vO2M4hMO3AfsOIaMki5Bf5/dNL7pYVYQvDk5887+uBy74B5/fIbGbmhiZQHSt+M\n0nWhndLXdWYWWtBtUP5wF/t+VI63XSPtkOsuXKZQ/F6UrusEFQ8qJHI07BMptIDkmalZPsY+tRjD\nIrs3+omrSbk07M9vOcLfL33yGuxtA3R9pQb7OBQ90kbgtEVkbR6Uh87sIapVlBGt92N7oxUznc74\nbHb+fF0mEPxgYBJ8qYasi8eIN9XR80mFxb8c5YX3n2HJXddRelszwc9uAAH51/SQOH4k87sUj4dr\nd2znPFeUc9rPJHXCcOb67T9dxiea2hjaEMI8ZiWxAhtaVMf6yjYJRbVoDF67Ei1qkn+vvK/eJ5aR\nCNlYfMsoXV8ow3vIJJ4rKNoYRLdrCN2UydHCagyvQ3bvZn0chaaROn4F2hvbj+gchS7ZgCnAEjNQ\n4yZpp4LrhVbC56xk6HjI2aNw4rWbeO2/pRBS+ZpBFvlG2TtdRI49wjLfED41xjmePZz+0o2sW3qI\nttFCEgkLimKQCtkgJXB3aegO8G9J4tw7xB2vf4+6uqMMLtsGzeuX3QDMejTOBDKFLMXjwYwnQBHS\nZ9PpzAQCRjQqkx6fB/JzMG0W6WgwEwVVwewdxFxUxfQS72yAaRIrkPCqVH0UPaFKn2zAPmhBXRkg\nedCLXhpHGbbjHBIYGhRujRHPsRLLUVDSMrEOVqjkHEwR8WuygHUwzEijF9uMiWs0heXVbSTPWMdM\ntYWCbSF0pwXrrm6E3UbfZdVkdenMVKvEVkepubSVkW80UfrPfqaOKUG3CkIVAl+nweRygVYdxjAE\nWqubws0J9O9NMrCriCtPf4s3v30s9oEg/x9r7x0f2VXf/b/PvXd608yo967d1Wp7kbQ27jbGhWJj\nY0wcQjPV1CQEnl9iJ+Gh+SGYBAKmV8dAXDCm2Abjtn29VVu0q96lGU3vt/z+ONKsF0Ienizn9drX\nzr40mpXuPfec8/1+2sIlYWoeH2HhGxUsL/pp/5FFusGOc9kgul7DlpaUMksDwyGofSHBxM0BigET\nz4yC/5p5EjknmmLSEEhwV/1ujmRamCsEWOOZJ2/a2B1pp8adZO94G+asC3tLmsK0Fy0lZFTfpE6q\nUcOetqg4HMF0O1CX4hgLSwinQ+aPAlY6g3C5pLFOJosI+DDnFzHz+XJXXGtvxZiZQw1WoC9GVqLM\nJIPlSw+/l+5NLRc3507OWh+486ssDFRQMVr6oy7DamcbltOBHnQRXe+k6nAG9h5j9q8Hqf+8bLAF\njyf+IOtUbO/jzN0OKg7b6XjTMEPPdNPwfB77QpqFS8OkGyE8ZBHZJHDNCQq7UrTcdpyz/7YTNatg\nSwiaPrViaLm1V+rXXjoiEcEVk5xzX9hJ54fPU69fyej5Y8Ma3Ei8y00hKDDtUP+5V6CDqzmiryiW\n6N/A2be46Hr/hSj07KPrqH/9SWJvHSD4nT1Ygxsl8rFiFjT+8AZabz9Wfn/yzf34f7SX4Qe34x22\nkVkv2Q/xbkHJb+FqTnHP2md5V2AWwzJRhULb4+/iDTsOcjZdTdFQsSzB5HIQy4Jr20/zcqSJ1C9r\nqdmfwTYVwfJ7YHqe+TdLYyp7WmZtv7LQMy/bjO3wCCgCGmqJrw/+wTVTPB6E00Gxr7XcGPizNG5W\nkOjVfNbidduk1lkRcr1byUH+g8xqRaV09WYce6Rzff6mHWgZA2FZKAWDQsiBZzTO1A2V5DZncR12\nIwxIt5i45+T6pvTH0A8EMR0WwhQIAxwxUEoWpiao/soeFt8zgLAsqg6lKYac2H91gNK127BHcyR6\nfAQPLIJlUaoNnDdqWpk3xmWb0VKFciH2+6OcTVtbg5nJYqZSZVR5NfdZWb8GJZtHr/aX0WRARsE9\nuk/GfjntmE4N9cRomaFiXrIJ5cUjzH9okOBwCc+xWcyQj9iGCuxpk2ylSqoFSs0FvIEcFd/xMXWT\nyTu3yyxoh6qzy3+Wh+e385HGp9iX7eBvw2d5++QlHJhvIjMWwKwoIQQoERtqXmA4wL/SX/LOGXiH\nlijVVaDmSiiJrPQWymShsRYWowinEzPkQywsYyxFUVxOhNt9vtiB82j6yvhzNQvft+PjZUO4/67h\nITRNFtSRKGpFALOrGevAcQqv2Y7z6aNYpSKZW3ai5U3StRqKDr7pIqN3CMJ7baSbwTcmC+p4Dzgj\ngkyLjmtWw7EMnkUDtWCRbNJwR0x0pyD8y3OYzdUo0/I6rDIOJv9hkOb7dsumSDZPoTV8vmj+L5gO\nq9dPCfj/AN22dm3CEqDuOynZs709MDMPDgdmdBmltQkj5EWNZyVjsqoK4XbK8+a29ajRFPPX1l9g\nArl69lpdc9Nv3IkjppOtsZHoVGTDfkE2q1zzgnfd/QTfGhnglpaj7F5ux2srsME3g4nArRSZKwao\ntif569AIPS/chV5S0cad1GyfJ/VEHYYDsnUmWlbQ9FQO0y7Zdc7xZcypWSmhbKjBPHGa0tVbsT1z\n6A+AS8XjQbQ0QEnHODtarucuQKIP30/3xv96b71YTbTXsqxNlmVdaVnWFcDbL+bDhBCVwJeBv7Es\na0wIcct/9b6SV8W9YKwc/ATtP1wi2SGwbCrz/Sq2rIV32iQwZiJ2xim5BcHTGSrOGmRrBa4FQfSS\netSlBM4n9qPPzVPzwxMy+iqegP3HcfzmKJybPG8YUhXGaqpFa28l8NABlPVryFaqsjs1PMn03w1i\nRqKEvr2Hll8W0GprGLm/n6737SsbKaiVYYxNXSzeLw2i3I/so/PfJ8oPgfv0AslfdmCcHKaw6Cb9\nUD3+l2cZ+98D5JoDjH5mgNxlchMXTgdjr1uhpj1RQfG6bXTd9TJTnxwkZsgbX/2V3cTW+/FNmETu\nHmDk/9uA5z/3kbizv7xorBbQancHZtBL8Lt7ME+clhmbTkHtiwo9/2sZUTKZ//CgpKevGFxZLhld\nYmWy6KPjnPp0l+weP3dYLjwrjqjmidNoC3GEzU6m2YOWN8m0+Zi6o51Ms4dYt4pzKYdj2SJ6SRFH\na4pMExQHU3yk/Wmu3P1e+kNj6IZK1tQoGBq3eRPUqhm+PnEpmUUPakwjvzlLtE9g2gS5LS00/u/d\nhIcKWL6LNz/BNMnfuIPqg1mUIij5EnUvWrhePI2Wsag6WmT0ne2ED6mEh4rU7cmjFSz84yYL292Y\nMak58Q8to+Z1lHROxrHU1xA6lSV8QsbCRPqcZRmBMdgrY5kA7TeHsAyTpl9nJE2wpkqiLyuGDpEN\nUuemT0zhPjpF6bKN8qBbKqJWVdLx13ukQRBgbOoqO+xqLU34rx/hl2dewLXvLN3vPcTUGxq48q63\ns/Z6iS5FNgv8/3GAwmXzFJ9uwTpwnLvOTCFqKvlyVzfX1W9i6EwjudftYPhb2xCNdbT+vMRsf4ro\nOweYucyN+9F9WIpg9HMDpG+WkTGNj89R8oqylkw97GPt/Qn0iSlaP3+Uiu/vwZ60yFe7EJbMwYz/\nxQDG2VGyjR6Sb+4vI+ylV23EWlni7IsZ5j80iLqum8BjRyTKnrdwzqZY2qQw+/6tFPwKWlbBnrL4\n6f7tWAo0bplldKKaJ4/3YVoC3VJpcywxWQjxkbFbqahLcuB0G9X+NOqoiy1N09gXNKkFi1mITQlS\nzTbMWPxPc2j9vwyPXeFDX7ubD//kb9l57XmXVbWzTbqGupyo9VIzq9RWyzikFbqq4vVgZXNYDlvZ\nzVOv9FKq9JJ6TR/K9BKmCghIN0PJa4ECRtyO6jCobZY5ytrmOIah0Nk/gVlQ8UwJjFfJZtnsoIt4\np0p4KEPl/giBwwv4Jwzsy0WqfjpE8LHj5ThCW84k2WIj9tYBCgGZITpxo5fFLU4yu7owqypo/Npx\nSi5BeKiEqpooG9fiipjM3tREtE+wtMOg9f6jLO6A+hcMjLNeHI4SJb/F3C4Hl1SP4GhPEiu5STXY\nmLm2Uka8BXykj4VxTtiZvMaOpUjKnT1hUfv8snT6DAgyDRZTr5YFdGBYkGk0mZkM85rWk/icBby2\nAv8+cTlLRR9/WfUSjfZl7qg4gEPTGY5Vo6gmht8gl3BS3bOEIyYbE8s9NomWTuYwzpzD8NrRp2dQ\nPC7MVEo6UusGwuvBDPmwVmKsrHiC1Sb36mZuzs4jhJDuol4PO65Yw4e/90E+eN/r8Xgv1I3+j+ac\nx84HP3otn9q8gcHtK/3wHX3nc0eDQanbdtilfMKyqN6bRJtYZPxTAzQ+LfWgntkSEzcFOfvdLaiV\nYRJ39qM1NRLZ5GXtJyepGCkRyXlRirC0wQmWxfImg1tufAktZ6KlBI2PT9P8gFynal6ShpG1+2QR\nNfqZAZSJ+XK0nfLCYayBDSTv2IlzUWHxvYPl38n38N6yN0L5GaoIXKCNHr/RzWUf3EvtF3dTf//5\nwnj+w4PlZ3m1gFY2rIG9x8oFdPgl6U0BUPc5G/RvIPgdebC0VAV9fJKxTw9IpPyItxxlBTIWKfr2\nAep+q3L8I1/Bec5B5DV56gZmqVuzSHflIjNF2WS5augNfDNRi6cmw/+pe5nLw8PMPdFC2Jnhp9sf\npCkc5zL/GSL7atE9MPMxHWMpgkhlmX7nesInclR9bS+uiCHNKFcaclpjA1osR76/GyMus3w98/I6\nr2ry1aoqmZcdXebShoqyEdifxVjM7+RDj3ycD9x/B4Nvugz30Fy5aAYQK6aoqwX0qgZY2DSJnNdU\nQv8GvMfmcJ6aQXer5GqcOGJFkmuD1O7JYh9yo2UkqOKaVyTFtsokMxogX2dgCbDHoBgwKQSh5BEE\nxkuUrtlKzf4k4RN5on1eGdUE2J45TL7aTcXJJMmNVZgTM7KAfoVzvdrdgW05i2nXygW02tuDuq67\n/J5VszR9fuG8PCMtn/XVeKP5y0NgmqhJiQqumuutMh9Mr5Ni2InYc1R+xo4+xNZetGQe44ot1D2X\nwHN6idyaWlLdAZzLBpH1GrasRN3DzzkoFjVmL1FwBfI8OdtLjSNJp2uRl5Jd3Fh9jMtdJnPFANed\nupHRVJhiUcP0GNhn7FQ/IxF/95yg4jTSo+ipObJVqjRFtClYB09gnB2VKQJ2G8wtQbGE5XKgxNKy\nSDQlvXi1gF49N5upFP03bpV74bfej+e/MXn6k+dcVYAPfe1uPvCpW9ne31p2oC4PITAu34LY3IvS\n0Xo+ci2ewDpwHOFw4HrhNEp3mzRUNMF9JkL18wsEv7uHbI2NqhdsBM/kCQ2tUIxndJxRQclroeYU\ngpfMk+jPkwspTN9WItVulpvaRkcdiR4f+L2U1khj2uSb+6nZX8K8bDNzl4dl/JT9FSXc7xfQYiU5\nI5VCn54pO3SXv/zSESmdCAdRnE6MoTMymWhhUbIZx6dQigbG8AjK+jUInwcrkUQNhzBcNiynncCI\nLL4Vn4/kHf1oqSLjnxrAvVAk9tYBLEWQbLET7xFUHdGp3TKPb8qgFNbJNFo8udBHbCxIQMtyc81R\n/qJmNyPZKra5x3i97xhX+U/yg29ex+vOXkdlIM2HNv8WqyPL7IkavDMGriWLitOCymOmvGdOBdsz\nh4gO1qLWVmO212OeOI3i82F75hDmpZspNMqEC7WmGvOyzXLOnRym0CTXWdMun+EdV66Vc+67H8Tj\ntv/RuXSxSPTHgJ9aljW+8u+7LMv63kV83suAhkS2AVKWZd30++8bPjhi3XP95xBeD4tXNuKdLTH9\nlzp1D9tZ2KGi5gW2JDhjFpk6gXfGJPKaPPZTbiwFqo5IZKD6UBr2HsMa3FimrCob1yKKOsaZUdi2\nTkZ8HD2DpesUX70d+68kJS1/4w5cTx8lfutm/ON5xEtHSL9xJxX7ZzFm5qR2ze+ntLkD5bnDLNwz\nSP0PT2NElxn+2na67z6AtWtT+RCgX7kV7beHiL5zgJpnLqTfmpduxrQpOKZinHt7jTR8umcQwwH1\nn9+NGg4Rv6abyAaB7jPp+sD5Q0D0HbJAuew9+zj091tJtNnKZlBAWa+bur0f30SWpU0eqr66h9Sb\n+ssGY698varJXEUAV7U2udfuwHsyQqanUhrRbFonr+PJ4ZXYApPiJnkom3mVk8CIiZa3KLkVohsg\ncBZSbTK+zD0vUK+MUu9PMrJUyQv9X+UNJ9+C117ArhgEHVnGUyEiaQ9d4SVMS2HssQ6S64uEd9vI\nrkhRW792BiMS5YHRf2Vd60XqUw+OWG/71CP4Xp5l6o3N2BMWahGiGy3sCQVhgDNqUfIIKo8ViPY5\npBbycIL4Oj8VQwnivQGCB5cQusHi5XVoOYuKx49JhKmxASudBk0jdm0XwafO/kF3VO3uINsVusDM\nJ/WmfgJPHJfI8sq90Joamb61mdp/kSiyK6pje+ogo5+RGviqr+5BrQwze0cPNf8qI9vCX98j6eLV\nPpQXDpddYyd/0kf7h5fRp2fI3LKTmdcYtDwicDx5gI4DTo7cvwm1ZLG0SaHjO3PlCCYR8ENlsKxb\nnv3rQRq/epzZt/XhuHaJyruiEuERCsbSEmpnG+f+2UfwSQ/emaKk/67krKoVAfLbOlF0S3oG9HTC\ncgKqQ0zeGKbhs7vL3cOZjw/S/MgCIpuXJibFElYsXqbFWYMbWdjhQSlBfHMRx6yNW29+kUd+ein5\nrjwef57P9/0nz6d6KFkqexbbeG3jUd7iP8rDqfX8669fjSOqgCKTAGr2gS1lYDoESsHCcCpENqg8\nfucdrOm8+Dn3vh0fL2ufy7qdigBGMo1aFcZYWEQNh7CaahFT8xAOYs1Jx26tsQHL5ZBFgN2G6bCh\nFHWWNwXxzhaJdTko+QSBUQOlZDF7iYruNwg1xSkZKqqwyGQdlNJ2bN4iVcEUkQM1FKsMVH8Ro6Ci\nJGyEjomyaVaiTaHhuTT5Kie5sIozZhDv1AifKOJ87gRz79xColfHFlNxLAuafzKNWeGlUOnCcKqk\n61Vqnl0gsquGysdOYrXUU6jxoBRNJl7jwHBYVB4WRLab1LwkcP7VHPlv1VHyCqKDkrXR8KQ8LBh2\nQeilGbJraoh32VFKFoWgAAv8EyaGXRAYyVEI2il5FFyREtNX2CnWlvAft1PYlaKQcFLfFGVzeIZ/\nqn0WRQgmdMHxQgOfO3UtD/Q9zDOpXl5aakdTTCb2NVJ1xCLWo1B5XEcpWWhZA8OhoqVLKEUpCVIz\nRcRyAss0yyhDmVL4CkRB2bQO88hJSes+N4lQVcn6yeXk+iAEWnMj+sQUXz74uYunOR4csd7/nu9L\nCc6qv8cKYpl4Sz+BH+zl7AP9dH1Q6pitVBorl8fMyhgr89hpMrfsxP/iGIQrwLJY3FVJ9Z5lMm0B\nHLEi5+5w0PWDHLlaJ4ZdYe6GIsTtOGIKbQ+cguowI3dVUfKZ2FIKgWGI9ULlYYvkrSl8j/ioOJMm\nX+3CuZgDw0KYJvn7s9ivWWmqXbvtv83q/WNUxVeOVZ109B0DVD+3UKY6quu6Gb3XUTYXO/vlnXT+\nMI/Ye+IPJF+la7fhPDyBsbRE4Ybt2JI66t4h5t67jdoHdqNsWMPpd/vRKoroSTv2YJ5vbf8OTqHz\n3eguXpjpIDER4Fev/QLXv/B+NjZPc2J3J1dceYQe9wLf+dar0XIW77vnUWxC50v/541EB0p0P1gk\n1uOhcu+SPAy3NJbRl7Kvwit0sqtj1W9D8fkwNnTI+KYV5GYVKQaY+fggLT+e5YFH77lov5HhgyPW\nPW/+GiIni+RVrSecL+JfaZS06gGg9rRLh/FQRRkpM5aWUDatQ0lmMSanoa+H6CY/vhlJlwco+UDo\ncr+ObdFRUiqe9gT2n1dg2AVct0zhQIiS38LULJSilLAET2fJ1ToRpoVasFCKJiWfiu/YwgXnNbG1\nFzWSvCB394LRvwGhmxegXVpdrWQ6LkX+QK8P52V6iTv7CTx0ADXgB8Mou0m/8l5qtTUs3NBOxUiB\ndKMdR8LEltZxnFtk6rZmTBvkK01Mh4z/SuzK429kW2oAACAASURBVDzpYsfNx5nNBLiy+gw73SMs\nGj5KlkaDFmNeD3Ao08ozUz3Eo178oQzZ4Qp0r0H4kIqlgmkX1L4YZ/6SCmq/dQRjU5dc53LFP5As\nvnIurSLNWkM9+szsBV975Vjd//5cSPQH3/TVMrW8TMevq8WILGOVin+czrzyPKjBINmBTtmQPTxC\n9OZ1hA9GybYGKHkUvD+RKTa5KhupJgUtD+kmC98YeOcNdIdCdL2g69Jxph9pI91iUveSRaJNyqQc\nCZNor0rrvw0Red06Wbv8dAia6sg2+0k1a1TviYEJSiSG5ffK57SlCQwTY34BS9elBMXlwDg3doGn\nShmZDYcwosvE3jpA1e9mLmBMqJVhsjvacc1mUGIpyZpoaSK+ox5HwiDRZsM7Y+CIFoj2ubFlLXxT\ncv4aNoWJG2xUHQTnskGuUmNxl4F3RCN8zSxLz9aT781hJey09czxUM9D7HzmHnZ2j9HjXeA3cz38\nTceveGDiapYzbnbUTfDcrzbh2xJF/2UlSkkyFRUdmr4+RHawG92toDuFbJ5bUHILqn58QoIOG9de\nwIwSmoYSDoGuS31+RYBSXzv2MSkXXL0uAF9++f4/yvK6WCS6AjgohBgVQowB/3IxH2ZZ1hbLsjZY\nlnX5yp8/KKABLK8bq6kWy2Ff0b2a1DziYG5QpWa/gWMZkmt1cpUCWwZsWQvmnLhnLQIjJtNXCWr2\nJUm1uonfNYA2PI0jbqI1NqCkcpjnJihcv0VmTI6vUFQ3SFH9BT9HoUDgh3vRhsZQu9rlQzMxRer1\nMu7KSCbLaGzNl3aXb8iaj5yE/g2UvBpqTyepN/Uz3+9g8f2DlLyCzJpqou8cKKPg9ullpq62M3yf\nn7aP7yl/ni1loXa2ce3zoyxtFrR9Yg9/8aoXGfv0AIk7pTtj+Bt78M7qnNhq4j67TPW/7Wb4q7KT\nqfr9uGdk1yW4bxZ1ZI7KY7ILOneN7FKrvT0SsVJU1JpqkutX8hCTKbT2VunaKgTeZ09jBtxlFNU8\ncpJSlYeFewaJ3LyG3E4ZxaB7VNq+do7go8cwHIKSB9SC7F66ZwWm3SLTZJLOOPHaCjSHYvz9/FW8\nquYcn2z5OfXuBHWOBJ/ueIQntz7IiRc7ORupJNlbRI1ppJsFtfsKNP8qgZlKY1yxBS3zx00//uTh\ncZELqUSuaELRpaGYfzxP4Kyg7RujOGLygF4IWcz3O8jWygc8vs6PUrLINvkIHlzCnJhm6VV1VD81\nSfDJk4jGOrT2VkotVRjxBGYihf9HexFejzTICodkvFlnG9bkDM75lS71tvWkbu8n+MIkkds2SKrN\nQTmvJu6UBTSAd7ZQPky2f3wPtpXIbCMSpebf9oAQ5RzvfEsF9skI8bsGqHhxgvkPDiKO+Sh01qBW\nhgnsnqD5MYX5HTYWPjDIyPY8vof34j80S8eDk0QHaknd3k/2mg0YC4ucusfP1CcHpU55zkTxeqh9\nYDfBG84ibDYWvh0mdrVsrIhCic5/WDEWyenUfGk3k38v0SQjnsCxlEX93ctobS0YZ86hdzdQqPUS\nPqlLZ/MVd8rQKR1jeAR9eobTHwgzc2MDIljB6GcHJP3TITf8mt0JgodsWAIeObcRsTmBVVJQhMV3\nFnYRLXnIGA7ml/38eHwrg7/4iHxOhgSd146ibY1hBHXyFYKJWywWtqm4JxLMDSpUHdFR4hfvzg3y\nsLHqhKlUruSDCgVM43zxBYiZJczWOqy5RURzPVprM2YkSqnGD6qKpSko6RzMzBM6GKHk0ah9ehZ7\n3JLmG1kD16IA1WJ5LkDxaJDCwRCljA2RV3hn34vMLwUw3BauyixGxoZrxIFvRGF5g9QcqwUT36RJ\ntM9DplbFN1Vk6gaLhl8v45zPYGzpIXi2RPigijCg4XcpTK807nEsZoh3alR/7zATn3ER74b4dWuZ\nvCFIstmG4VDoeChJ+6NFCgFBz4NJKh45QuEbdUT7BLa0ReMTGs5xBwWfQqZGxTeWI91Xh6UK1IJ8\nHqsPFnAtWjhiOv6JPIZTZfYSleVewcyrHBjtOarqEmR3ZjF0FU84y5ubDxC2p3k41cWJooMXsl28\nxj3FDS1DPBbfwg8P78BnLzA2X4laEKTrFGr3FSn4VdS8ie5WcSxlUYoG2uQiaiKHiMaxvG6ETaI4\nalc7WsMKMrr/OFqtfObMIydlbNlsBAwDfX2bRBDFytZtWfKwLkSZcXAxw/K5pWMuULxiA4Ubtpeb\necHHhzAv3Uzzrw3Udd0UG+UhYxUlFzOLGFdswRHT5dyMxonsqKTmyTFGbw8x36+iHhuh5xspLntw\nH6YmmLvUwjnspOuDe2m+dzfz361m/LZqrPYsa74ao+2nSdSihV5VJHAuQ5UvgyMhCxDTJrAOnkBd\nijN1fRDnR2XyhNbajNDPgwOrkUNn/3Vn+XXs1k3leCDzUsmMmf2YXG9G/k8/Y58e4PR7KwC5h1oO\nO/G7ZENaD7ppf9f5g2bX+/Yhdh9Fa26Q6M/6NcT/YoCldw/gWMxiLC0x/s8DOJ48wNhrHSguJ0f/\n9iuovT1EtgZZ82CayiecjN38IHpRZaRYze2778allthVP8bgtjPM6j4aquIcGW2mdvM8f1PzNI99\n8mpyNTI67f6H3sBX/ulWsMA+ZyPe5SF+fQbjzDnp7vsKrePqITrT6JLxl4Mby5GGnp/uk8ZFdkmT\n1xrqyXaEZKGxUtio67pp+Nw+9EofFP5rfeX/6zDOjaHPzMoC+pU55HPzWPqF+7fS3IDa0YI5Ogmh\nCqzJGdSudoRDFsnmkZMUG4KwsYdMm5fq383iWMxScU4nPFQifFwiWCWvQNhM7AmF3HAFxRvj6F4o\n7guBBYbDIjgkQAHdIzj3Jsm88Z5LsLDdxuI2B4ZDQR+bIHlHP5lbdqIGg+Sr3RcU0GWjrNWx95ic\nt35/+dnR5+ZlfN0rCuhVh20AYbehOJ0EfrgXTIPYq3swkknEtvVoTY2YmsLSuwdIvKVfmiIZkK2x\n4x/JYamQbrBz9r1NFHempAlqzzL4S6y/a4iB9jH8ly5wXfAEt9S/TEDNMlKsptUWYThfi0/J85v4\nOn45vg7dVEBYFI5VyIbmQRV3xEDLQ82+FKUKJ/VPziDqa7AUgXn0FKVqX9ltuxy3tVKkAIjaKrS6\nWun74v892nH/BtTONilPClaUI5QueridZS2smZH3IPfaHTI3vbtNrrnN8md9ZeSYcDggKvdjIxbD\n+ZtjMuN5TQuVz01jKQpFv4ppEygeD8WAhmEXVB4vomUt6vYYaDlwT2WI3ZrB7MihCAuhg9qYJd6u\nkq+0pNfEgWlsGZh+Wy9KySJ4KovVWk+6K4AtrRM6mSfX5ANNkbLI3krJchCCQmcNxcslO2a1gAbQ\nQ55yTKalKQibXeY6b1hD8Dt70Mcnyb5hJ+q6bpbfNoDe3SgNyRaWMaokMyA20CDzrzWBI2HhXMwR\n73HjjEkquiiZ2EeXSLbZcc8qRDcIpt6sY70pgpKXXkdvbDzEa297EcsUNHYu0u6L8o3YFjqbF7m/\n6Wc8v9jJu1qfZ9nw4tJKVHvTvDTdjtGZIzJVQbbOAgGuiIV/3CDX3409VsT72CEC57IED0cJ/vIU\noZNZ6GhCa6gn2e1H8XgA2US1dF0a+rbWSe1zPIHt6Ej5Pls56UGihkMXZor/3rjYInoTUGVZVrtl\nWW1cJJ37Tx3CsuD0KNmOEM64Sa7KRsGn0PKrArFujcQ6GTnjmzbBgkyNgv+cIF8p8E4XCQ4pzA/4\nSbQp+MfyFDa0SkW33UahJYRVKuJ48oDMKlRUSq/aKPWYwRV6yaWbcf58P2pnWzk3LbGpiuLTLaRv\n65f5rFCmPYMswguvkdTcs/fKrqH91wfBsnBGSjQ/cJR0s0VgTMcRKxD++h5sE0uoVVVMvaGBtk/s\noePOo4zc38/EP65s5m6BcW6MX/ZWlDXYL36kn1JIJ96tMP138lAQ65YHNWN4hPnH1tL97v2c/d4W\nMq9aQ8NnVozPOqtAEbLLWhmm++0HmfvIIEs7QoQORsqHds9/yt/NiC5jhH1YlkX07f2IUAXKxALW\nrk2Yl25GbO5FTRap//4pgt/dg2sqiWMiyuJmG3Nv7GT4nzew+JoCWh4UXRBbB4lene07hzl3x1dx\nOEtowuTXa3/OVxr2UjA1/n3+SjRh4FB07tr3Nj4y8TqMpjxb66dwB3P4xhT8oxbpRjvK6Cy5azai\n7R6C3J/BMD6bp/JAjNCRGKHTRdyLOol2J6GTefLrGih5BPaEhTBkI8CWFKgFmL9Kx71YxFJlJt7I\nfVtwL+pY6TRmLo/pc0JJpxC0y5D7dR0oG9cycXsjan0tRlcjJz/RIGlR+Xw5tzXT5Clr1qp/J3PP\nLV1Hm1ik4TO7Zc7qRwfLTZzRz6zEbzz8cjmj9Nczh4n9pdyoxeZeMrU2Gcn25BmMpQi1D+ymbncB\n296TFPtayGxqwvnEflr+YTc1/yrnzdJ7Bjj5iVr06RkCP9yL7+G92OMyaif0skblkI7v2CLOqIGV\nLxB9+wDFV29Hn1/A840KPHNFcq/bgT41jfZgmorv70HsOUr6tn7avzVB6dpt0pX4pFzcCi1hZv52\nkHyVHe03h3A/fQzbZITS5g6MK7bgOyQ34LmPDNL1/n3UfesopsdF5RGLydcEmLjegZqHZLePTAOo\necHXt3yP7IIHigpf6PsxPd4FXGqJZ57eTHfdIj/s+zbb149wLltD5tVp7IqOACoOySaec9KOdwpy\nzQHcc/KwYAQ9Fz/noEy5BKmZBbl5K06nbK6s7ZLNOdNADI2QfPU6mF/CmJ7FzEuTE+PsGNapUUmn\nK5bIdIdwT6eJb6ul5BUk2u1k6m0IA+xLGmpKpVBXwrUjQkPjMs66DD8a2Y7Xl6dz8xSaZuCcsZGv\nNkjtyOEfVoj1KMQ7NUpeQaoFlJJ0Aq84YmNpIIgSTWKbjGA4BNXPLVC710DJFMg1+1Am5jn9AR+O\nmEX+8j58j/po/XkW73SewKgsDNWCyewVASavlc7ip9/jg85WPDN5TLvF4g4oehVcixbuiEG6xUJN\nFfAOLZCu06h+KUp4SCfRYUd3CXSPysJWF5k6G0oJTA10r4mRshGJ+ghXpNHjdjbUzJLQ3by1Yh+X\nus/xLzPXUqUlmdBVfjbWx6l4LQ5PkeMnm1EmnYRPGOgeUIomlc9NY99zCvdwFMumIixJ2xQlXaJO\nZ0fR60PoV22FZBozEj2PvM0vSA1eVRXUVEqqYz6P2H0UYykC1sp1WaEhqpWVf5bpJtJSVqI1NeI6\nNV9mvWgN9QhVQUvmcfziAMbJYZQXj6C1Np8/7FeGUJ99mWSLHa2xgblbOwl+dw9GYxWNzxawJwSx\nm3sxj5zksS9ciW84Qc1ugT0ls9sTb+knHvPAxiRVjzgRmRwjf21DdwnW/a85Fnb4mD5ax9StBovv\nHcSekM+GlctR8ljk632cfaBfxizaBNnX72TxfYPY0/JahQ8rBH6wl+m/GyTwg71MvK4KkFRwgPr7\n5ZrW+R8Z2j6x9wIvE/PEadyL8v8TLx25wPAp99odlK7eyuStjSgrFOTKl+bIXplm3TdPo9XW0PQb\nWRx1fGwvxrpWOp/9KyZvDOO5Y46FfzRYvKHA+i+9l+3tE3xx+CruXL+fz9YcIWPY+UHr7xgvVfJ8\n36OQ0fjHzsfpsHlZ3KoiTAiMGbQ9NE8hoBBbb9H6RAb3ko56Ukp8MrfslIWIw8G5f+mXUYofGsR3\nWkpnbPMJHJEC7OiTCRouF/NvlPFHZjKF45cHpPP/yuFb5AqwbR3q6HnE+GLHBbnQr0DztcYGqArK\ng+xKIWacHaXQHESs7cCansPM52WTwKah+HwIhwPbqUnUhTieqSxWOoulKRh2wcJWG4l2lVQr1BzI\nE37ejuGURYzzsQryIYtX37IX3WOh5gS5aoFjWbJXgkOCpkfnGH99WGpZZ03ccwWEw0EhIOTZqCqE\ne8+wZHVdvXXll1OkdAvZ4Fm9jtRV/9HrobU24/2xpPqr4RD6zOx58632VvwP7ZVU40wBozZIbK2L\n6gNJKk6lVlI7CvhH0kQ2uYl1aahFcEQFhbgTe1xeR6eniF8rcDJSg1PTeSyymT2JDt5dMUOHfZFn\nUutxCJ2hQj3Pj3dQ4c7RVBEnGE5jOICKIraMRS4kc37ndvkoeTUy66oR6SxaqoB5ySZs8wnUUFC6\nPLscZR2ylcmWzays/Ap6mUyWo1cBtKmI1IeXiuiz89JQS1W56FE6P8eE2yXp2Y+vyOiGzqB3nWdu\n6GMT5Qgoxespg2EAxo51WJFlhGFhed2YJ07jmSsQfHoEs7cdZ6RIMSBIN9iIDJZY3KIS2WqS6PGR\nTzgI/crF2BPtZJotrus4RXiohH8UctWC0Xe0UAhalLxQcSbN1DUe9IALoYNpVyiEbKTrNCxNQY1l\n8I6lMM+Og25Q8mnYf3cUZeNalnfWYA1slHPv8BkWXieBC9ehcannvnUnmXb/CjNQoOZNjJPDVP7k\nBFpERjvpc/NgWNI4WQP/c+eYulbFljFZ7vWiFi38pxIs91mMvt7Nqb9twNTkvlrRG8UsqdzcdBxR\nVcAx7uChye3EdTdX9ZxheiHIDaGjfKLyDI/2/IQTxTBBR5Yr3eN8afgKYnkXyzk39qf9tP67oP0n\nBp5p6SrvXjTwjWWwVMjVOVHaWyj57RinzkozusNnKFU4MRYW8Y1lznsBrZG1mZnJIAoGem1FmUG5\n2swys1lQVdnodvxxOvfFFtHPA68Mqfvz5GX9CUM4HWTqNJZ7VOwpE0tBUuZy4JmQyEK0V8GWtrDf\ntIQjbqHokA/bUIoQHirQ/OQy2ToHtkQeLWdBSce27zTLbxuQi3pHE8bSEo7JZSwhWLi6EQDb6WkJ\n9Z8bQx+bwMzk8P5kH44b57GtoJ7F67YR33J+kTSPnS67k64aPAGYfhdaRid+cx/tf7MH12P7ydbJ\njrrlcpC8rB3TJruZakcrHR/bS80Bg9xrd1AIy8s9/YlBxPY+MrfuJNlsp/VRaP/iKRo/LQ8FtV88\nT99uuDuK4nZT/ZQd9zMr9J8G6Wo5/q5OMC3ym1oBqDxRJPTtPYjEimlHrTRV19pbJRXi3DSip43q\nF5YwvdIMQrx0BOWFw2TavCzsClDc1MbYf2zAdNux7Daqjuq4IiY1+8E55CJ6VV7GAmQFSk5h3/FO\n7p4eID3n5e/qf8mvsg6+sNzOQsHHtaETTGcreGpuDXrEyaEzrXh9ecaTYQqjfsIn5SZjy5joa5pJ\ntmikb9pUzle+mGEE5QJpqSpaqkSmTiP0wwOS+txgJzBmEO81sWVk9m7ojIEzZkJJYepKF3MDKmre\nov5FA8+pRbK7uhHrOihUuoj3NxDt1TA12blVokkcMQvLpqHkddZ+MXpBQ8YzGifRppJ8cz+Fbhnl\nFHvrAELT0Ofmyd+4g7Mf68Q/Luei2Lae9hUGQ/xWibqoVVXs+MR7CH5nD/G7Bsi2eHAkpPGX1ViD\npevMfXQQ7TeHiN2yiUydHcN14XKRfHM/tT8+Q9tP5CF1dX6sHkprHx/F9dh+Tv1tJdlqDaOrkXyV\nYPz18vsd98xhH5rCljRAUdHfGygXEd4f70WfnmFu0C47hqUiwmZH/d3LNHx2N94TUjdl5vOyAH/5\nHOl6O2hyg637wm7MSzZhbOxk8uYQy70C3S2dWPNhmLvKwLE+TmFNjrc8czfCEnzjum/y+YlXM5uv\n4J3hF3jw9q8RcmR5y4m3cvBwJ8tFN2FfhuPPdZEeDxDvk4fq8JBBaGXuNT06Q7xT+7Nkk2O3y8Nr\nOITidpc3b/3KrSgVAfI9tViT8iBrZbKIjhYqXpzAiC4j7HapY51bRGtpRK2WRZbi9+E9OEmm1Yvv\nXJqGJ+cInchiqgL/lIFjWUbE2SIaieEQqbyDfNpBIuYhcy7AQsqH216i7+oziFARoUBiZ558U1HG\nxuwsET5hkQ8JRu5UqHt2CS1rkVsj76tv/yRLl9bgGYmxvCVEpkYjfnUX4f0a3rkSqQaN5fWCZJuL\nsZtdLNy4ooF9vZ2a/VmcEcHClTrrPrvA8pYgU9e6qDgjqDoopRWFCsHyGo2mZ0pkOvyMfs5PpkGQ\n6A2i6BJ9ci8ZJJtUUp06i9uhWFfC1pMktCaK6tXpaFiiv2acpo4lrg1LVPblQj3/NHMD32v7BY8s\nbeXWRz7ImqoFZp5qZk3NIra4ii0pKHkU6p/PEu9wkNhej7W2jVxHGOXIsDSfbG3Gsmllyqq2mMA5\nFsWqCmEWClgeufYbl2+Rc8A0EIk01FRK7WpT44XOv6oiTSdfYcRzUWNV/zs1TakpjNrVjtrbQ3yX\n7NRHN1Vc8HZ9fBLvj2UzL7ZVzrHQt/egT89Q/eXdZa2wJQT1n99N4Id7Off9zQS/tx9lKY4rqpPY\nWCTeA8u9AnXOQS7mItqnsHB1I1tbJlGLFqc/2oxvRsexLAjutuNImixtcjLz8UEyg500P5XH+bvj\nUmoBuCYTLOxUqDqSxbd3ArFtPZEdBqrfT/2LslFQeeJ8gypzy075QlFRzk3z/ckXJVV+pUkutvbi\nOjzB608uSW3zylpXunYbkT4N2zOH8E+a0NmKEkuSbw3TcttxHn1pO5mtzajPvoza28PYQxsZfquT\nHa3jZDpKdAWW4BchzLzK/vd/kQ/VPc0/rXucSi1N3743s847y/5CiX/cdyMfndtC8y9M/urpd9D1\ng/ew/oqz2HuSTN+kk/2ySf2TU1QdAEwLLMm6E9v78PznPlmoFArYUgIxNU/jTyfQgy7Y0Yc+NkG8\nx416dppcWxArl6P6m9Ll3EylMK7YIjWTC5JpoI9NoI7N/z+5T//fhplKofr957OUV/7Wp2cwTg7L\ntW9lbmqNDTK+KZHBWnd+X7RcDpSKAOa2tVJv63aSq3VhttaiTEnWTmDUxDttYo8Lpq9wYtjBbM5j\nTwicd8yj6LB3qZVSlY7VlJfRV9Um6RaLWK/FzA11tD4Sof4XM3ini9inooi1HYRP5DAu30JsWxUL\nt63DctnLDvd62IsjJueaPj5JarANra4WkUiVdb+/P/TxSejfQPVjZyRS6PEgNvdSuGE7iS01Moqn\nZLB4SSWJTg/hr+/BOjSEMjFP+FiKxS1OFnb6ydYK0h062UqFfLVFa9siO28/Sup4mGLBRq0jwcbq\nWXIlG/c3/YwHm35H93N/ScayM+g5S9a08/2ZAYoJB0VDZfT5VuJjQTzTAnXBQapZwT9RZLlHpeHp\nKMK0cM5mpWfC0VPYxxZlEZzLU9zYhnF2FGNZ+iZYug5JWaQZsZhE/dZ2XRBdqc/Mlhk6amAlg/i/\nQQX/5KHrFK6XoJaw21G8sukttkrzvVU9+mpOuVUqSj+W6HJZk6/4fAjDxEgmKQYdiEQatbdHGvRV\nBTE8NmZe5cJSJODlmrDjnZDNvKXNgoojdpLtAt0DtGR5YaaDZItGdLNBtsnANW8RPGVh2i1mL/NT\n8lkoLx6hUKGwtMlBuk4lVy3IV8tscfPISeK3b8EKeMkHVRbfsR2RK5K+JYUWSWFpKsbWNVR+bQ9i\nay/C50GrrcHz0314T0aZ/+AAWkM9jl8cQO3tYf6uPozhEYwrtlC4fju5Rg+pbY2450sY0WXChwWG\nQ1KnCwHB/GUhAmcU3HMC/7D82ez9y+Sfr+QDO37LD05v51sD3+bON/yWmxqOEyl4+HrTS/zokq/L\nvPtiHpew89mxV3NqoZbXHn0bybSLucUK8iUNR9zi3F+pzO1yEDpTYHGrQHcqKONzeE4t4ZnMgKbi\nOhcp3yOzUEDbM4TaUId18IRsbAmBeeRk2edDFEuw95gEqbLZMgN0df7pixGZFf5Hhnrvvff+j+fh\nfffd9yPg3vvuu+8d991334eA2+69997P/Y8/8E8c+ULp3pbWMFet7cD/3AQjdkFwKMHIu1RqnzOJ\nrZXGEbrfRMso5Oc8xHtNfKOCfKVCugUKIY2KA0tM3OLHUp34x3IopoT53YenyA90Y4vlsJaiWLEE\nSrGEc885xPY+zLNjFC/tRR1Z6cSudk4NA+3sLJG7B/A9vJ/85kbcYwmsYhFr1ybmbm/Ht3uKhXsG\nCaRcWEtRNKGh1/jxnoqgqDasbBbb6RnyN+3ACLhw/Ww/VmsD6XYfzt9IQwNnQsceLxL4iaT9uVNO\nxl7noeZLe3EdmUY9N4uVz6NsWIO1IF3AbackQmdlMlilEs5j01i6ztQnB6l4YRptLo7/N2PErmzD\nN5JE8fsRB4ZQK8PktrTinMtinhuTdBpVgaVllm/ZiKYrKGcmib+qGVugkqWb2slvbCQ4lEQxNexP\nHaTqZRdn3xqmck8c2+lpFq+pQXdIJ0f7vI1Cpcnnbvk+v5pYjy2mcjZZSXfXHJcFz/Bseh1Pzq7n\niZ5f8dZjN7Oc85At2Kmti5NMeCjkbTh/FsDoT7HU4qTijIV/OEHfHRt5Z3MTl23ppmFdHQGv676L\nmXPFSOre1qs3MXBJF6kWJ9knR8ltbUWprgJFYWGniv+spO24lkpka2wYTkHJq2A05/Ef16h5aZm5\ny7ws7fJR88wSynKS5e2V6G6Bf9qk5FWhuQ7l0Gnch6ZJX9FNtM+Nf980xrSca8YVW5i71E/dF3bj\nUnyIvVKX5zoyTeKOHTg9IbTfvkwoXoHrzCLF7d3Eu92IpnporJWdeVUw8/o63EsW9qFpnEenKfQ1\n4htOYi1GWHptF+5D0/j2TCFsdrIb61FLUvPkLjgkDS2ewBOzMBYWsWtu5t+8lsJHDVw/Wmb0cwPE\n3xbGN+5HTMxT9Zs4zoNjLN3cQePP5gh+Xy5g5qEw1ulRxu9upeqUgTBN9KkZ0m/cidMeIHp9J/XP\nxqG+BrWgo/i8mOkMyvo1pHrD2E/NyA5rpoiZSOA8Pk30detQa2qxLaYwG8JMXuciMGpR8il4J0BZ\nlpFZNVsWCbmzRKeDuKqyhKpTxBUfw7EqoFSq4gAAIABJREFU+ivHudWX4J3nbuTdDc8RVzzk3QqT\niSBXNQ5zmhBGXsM9peGMQrZOQcsLLhcmt3zkRq5pbaOhq5IK18XNuXwye2/bq/rYeeU6KBaZPrNC\np5xdhlIJqkJoBRMMEzMn16rVTqtVKmFlcpi5LMK0EB4XwunESmewmmqxxwqgKKAozF8aINMEhqYg\nLAidMTEcCs4tMYoHQ2zYPoppB0e4wOUNZzl4soNwZZq+mjnGTtVjD+cxYw6U3jSaw4BFJ7k6i4bf\nQnSDj/DJDJkGJ6rNiV7pJx/WMD1OPLMFVEPgHUuTaneh5SFXrdD6H/PYnzuBX68msRUKdo3qg5Ct\nsWHPgCE0ss1+HEkL3akQGDeYuwKsUAnfsIrhEARGC8z3O8h7IHRYZf7aEnmvHTUPrphFIahQDFp4\nplWslhy2/X4yKTcda2YZPdxId9ssa/wLNNhjnM7VcSZXywsH1lHXPMVCKcBYMYhis4j7VRZGqrBs\n0svBFTVJNdqpfm6exFof7nmZl6rYHZixOPmdXdhSRawlWYBY6QxmdBnV5YJiCaEbWLkcNpcXK7KM\nWlcj5UsTMxjRKGYyiVXSywfJnf1t3HLXIP03baN5TQP+sO/i5pzFva1rGui/aRtiap7ZsQiJ7fV4\nf7wX87LNuB8/gFoZxsrm0OpqMdNptKZGhE3DNbosDc/8fukYv34N4ugZxt7TRuib+1GDQaY/tAU1\nbiO1qxFvVMM+lyQ0pGDPaGAo+KYsLFND90C22WRmPky61aLn4yegKsy+zz6IY8skz473Un2oQPgX\n59AbgtieOYSl6wTjXob/voN4j4e2v9uDmJqnuGMNI3c4WfsPY1gNNbASD6MNy+cpcWc/vof3sfy2\nAZzOIDOvrSfdrXMqNsj8hwShExXoQRfJDVU8G11D5b4kZthP4op2PFMZgsdSWJFlop/ysdAUJDQi\nEHuOMf5PA3T8zV4cSxnGPrmF0FMTFN7o5KFdD3L/7usReRXDZ9GybRaPr0Cnf4QdDos1dpOjRQ/X\n1QzxyNwWFDv8eP1v+YeRXdx1+295caKbN1y6n2d3b6C1ZYnokp+a20+yeHsvvukSmUYnroUCzl8c\nQomnmfnQdioWNazlOJXnkFFqI2OIyXmYkcVloa8Jx76z2LwVsBhFcTqw8jIm0FIEhTV12EeW0ISN\nnYMd3PqRG9j63mtpram4+Dlncm/7tm52XrcBK5djengOpatNno8aGzCTqTL9EiQ6DiDqqhEz0hNC\nqQzDYgRjcQl1OYWZzaEEA2gvn0VVbeByYlS4UQyLwMkYsV43FWdNHGmLrNeGLSVILfkoBixSaRdI\n8BnDISBYwjEjmTpqQRDZ6ibT5icf1Ihu8+NaFhhOlaUtDtxLJt7pIqZLI7e1GYezAsuuons1Mjua\nsIWqcc2mMf9/4s47ys6rPPe/r51e55zpvY96s8pIcpFb3MDG2AYTwARTbCAGxwkJ93IJAUINlxab\nGjCEYtOLG8a9qPeuGU3v9fT+fd++f+zRkRzIXRfste5eS0vSnNGZGZ199t7vu5/n94xOYieTWBuX\nU1jTVJ6LAOqaZYiZeWbe0E5iQxT/rjHSr1+Pu38OI2tTqHSjP38UEince4eZe10T4UU3E3d041QD\nTG3zUPtShmydg9CgRSGgkasRVK6YI5FzkbGcHPyr/2TWa6EAI9kK/rD8EX6druOJdDN3tLzMFwav\nYX1ohBPZBpq9i2Schox1NEA4BcGz4J5V8MzZaCUh12WvA8/OPulTLxRRAwGIhFDDIezpWYxEHkXT\nUJvrEYsxNJ8PO5VG9XrQ6mvlDeC8bBRrnW2IxRioGnYyyZYbNvDG918l17llDQQqfK9qzhUK5sfb\nHSq9t2zDXlxkciIhQZytdRglsJdUXwiB5vMhCgW8lhcxt0DhynVoA1OYW1dgnJ5Aba5HOzmCaKhC\n6Br4fTA6yeL2OuqfnMeR1wk9MwTBsOSGdINVW6DkUDFSCvbqFBubRpn7TRPx1Rb+szoVx2Fum4Wl\n6lguaPnCIdx6FRNvacZyKdT9204m7q6h4ohC4MgcYjGOsnEVnrEMCIF7voR/1wjFjhqSho9ShRdf\nXwx1fAZr83KEQyPbHMA5mcROpxGLcUJjFvNXNKNHq0FVUdFwzRfJdkXx9S2Sr/VgulRcMZPchiYK\nYQVnwqYQUqV9oA60kkJw2CK2QhbXGU1HS2t0LhtnMBOlKRDnF+Pr8DhMPlDzNAG1RJvh4EQxx6zl\nI24XGbYqeV/rs/zm7Dou7+wn/VA9+ZwbLQ/+AY2ST2F2G7T/vIgjaZJcV40V9KA/dwjN58Man0IN\nB2Wts20tmsONUihhJ1PYHfVoA5Labc3NSxL+BVYXRVEQ+TyKrrP56lXc+qm30Xv9BhqXNxAIef7k\nnHu1YLHPCiH+6YK/3ymE+I+/+An/H8epwWnxgb/5LtkaB8HDc2Q7I8Q6DZIrSvhPG/gmbebXKAT7\nYH6zhZbSELqgai8k2lUqTlkoAiYvVmj6vSUhY784jd3RQKzHR/QPg0zc2k7VwSz62UkI+Mg3h1+R\nnakt6yTTHmZunU7jJ8/f9Or1dZSaKtEX0lgVXpQDpyWkYAkQA7wi/08LBclc3I2esYh3OFDsJQ/W\n1jUYYwsyc3B5F2bIjbJTdse07g5G3lhFy08mGL69noZPXxDHsTTm7uql8hu7WHxnLzd+6Fle3lIB\nbU2YYTdjV7lo/eyRsh9Hr69j7spmIg8fYvaOdUS/uUv6QLK580TSc8C1U/3lXFKgDJvROlpR8kXp\ndVnKORTb1oItGHyjm44fpShWyluWoVsUgscN/GMW41fJaAmjMofHVaRoarRGFgkYeV4fPcwPp7Zw\nb+OT/Hiul6gzzW/PruLdy17mJ8MX0RiIcfhoGzUvKWRqVRQTqvZnytmIhes34tl5lq8+81G61jS9\nJtEvi2tC+McKzK5zUXm4IKERzTJOzbUosDXI1IPpFYTOKOQrFOqfzzB2lRcjDYWwwHZISI7pVqj8\n5UkwHBRXNGLEcsxsDVH7yBiYZhmmonV3YHuciEMnZFxBKIg5Nl4Gclw4n85B4MTWNej9UuY98AV5\nmCtccxHOx/ehBQKc+cRyuh+YI708gn/fOObEJKUrN+A6MMjMrT1U/eBQWT6mhcNMv6mnHMGlPXuw\nDCMzL9/AVK8TY2OMmptOsfjOXoKDBVKNTqIvjANQqquQZO2392Jkbfy/P4m1so2FVR6qfnSUQm8P\nxlMHUC5aSSnoRCgw3euU76slyNLcXb0Eh0oM36jS9T4pu9JbmxGpNHY8gbl9NY7JBGJ8CqW1kfmN\nFcR7oPKAjWvBRLEF45c7qTxss7BMw71lnvd1vMCnD1yLogoaK2P8Y+sTNOsx7jhxB6oi+MayH/GW\nA3dyc8cR9i00MzQbQTvjpRC1cE1r+MYE2RqFXI1N548zmF6jDD778u8++OrBYkuxaufkb4rTKQ+U\nlREJRKmtkZt9qSQzhGtrJI13RecrABpaZxsk0yiGgShJqb01MytBLpNTlK7agJY1KUQcWE4VrWhT\n9KnM7DChqOKc1SlUmdS1zpPKO0mPBnDXp7mt4xAP7t7G31/8BN84czHpGR9XrjvB/ulGckfCaDkF\nrQjFoMARV3AkBekm8ExBPqrQ+oMxcp1V0hO9kGdmc4Bwf5FcVKoyFFvgmTUp+TSKPnnDmKlTyFfa\nOOdVnDGBMymwDIXSzTEK+yqoOGWRD6ssXGRRtVPD1iHeBVZNEX3SgZ5VyDWYoAqidQlSByNces1h\nbKGyLdjPZDHM/ngTNe4U91U9xQeHbuXuhmd5OdVFwdaZygfZfbYV3Wli5g1ESUX3llCH3NTsssiH\nNfxjBRwTcfKtFbjGElIibeiSur0k2Ra2DbaQNxurul7xep17XFFVhGmVM8GLO1bjePYoolQs59Fe\nOF4z4M6t94OqkmuP4j4zU/4650CY5/LHFV0vFzZ/alwYSWResQHnVIp0Vwj3r/eWM52Tb9lCxTND\nmC3VqLkSxaiHzf+2j98+vB0jCZYb0m0Wte1zzJyoouFpCz1nMbPBRWjAwn98jmxHBLVkg6qQaDVI\ntUhpfs8nBrl//6+4q3k7I5/oJXJc5klr0QiJHR2E9k6Wvat6azPJdTUkm7UyTwLkPm+GPVguHf2Z\n8/t/8i1bmN0EHR/ajX3xOkauddH6P6Tap263n9k3h5m5op7YjjzOU25Ovv8BAK7ffAPLfzPBL46t\nQ5txcvd1v+frRy/h6e3/zqWP/h19r/86CTvPD5Mr+FB4mC8stvN34X46f3U3n7zq5+xKdvD8wxtQ\nbEh1lwicMqg8kmf8MhfN/yy/75FP9NL8sV0Ur9mI+9BI+WD4XzOHY+/opfKJQczpGXnjXjIptlaR\nbnAS+IlUF1yYX3xu2BevQ33xEMW/uohvf/KW1yxu6Ny4MFoG5P5jZ7PlKL9zj2mRCtD18lnknELj\n3PlE9fvJb+vBvecsorEaM+xGX8iRWBEiH1bQc5BqVvCPCua2miBAyWu4Z1Q804L5jRa+IZ1Ms4Wz\nKkt+3k3ohE62VhA5Kpi+RNDyG4tMjUGqUcEzLRAaRL+1S2a9Z/OM39JMcMgkF9EIDhawdQXXaByr\nwkus20vl06MgBLlltWTqHFQcjIEKqc4gRtpC6ArewxNMX99MuK9AtsaBUMCZtJhdZ9D4VBp9Ksbo\nl/0EfuzHNhTiXSrG2hjaH8LYV8UomVKd9daufTwxtRy3XqLak6QvVsXbWvawK95Ou3eOsJ6h0Vjk\nEyev5+qm0+xfaCKedWO+VEFhfYZSyoF7TKr6FBPqXsqRanLimSmRjxiE905Rqg1henTc/bOIbF4q\nZFQNxdBRdB2luR4xNoVaGUEYuvTsb1uLMTgtoWpL68m5SFe4IJ986ffXZJ07Mirev+6+8hp27rkv\njNPSAgGEZaEG/LJxY1kIIc7nVy/Nt3MgNK2zDTPql7Fkq3sYvb6C+uczmB6dYkjHM1Ug1ezCcijE\nu6AUstDTGtV7bSautUABx6SB1Zon+LyLdCO86w1P8oP+zRRPBilWl3DMGKgFBUcCIqeKpOsMwg/u\nYvZ9W0k3CSLHBMGBLIoliPX4CP1oL1p7M6lVlXgmcwy/zkvVARvfY0cYvXc9QoOGZ7Nka5wYaYvZ\n9Q6avnSQzDWr8Z2YJ98cls3orjyR55xUnMzQ/xY3rjmNwKCNXhBMXGXjGTbIV9sYdRlW100yl/Mx\nMhnhjrW7mSkG+P3La7np4r18vmY/H5zs5fnxdrbWD3FP1TOUhMptu9/DS9sf4D2DNzMUq8C0VLbU\nj/D8yytRCwodXxkgcUkrlkOh5FPwzlhMb9Zo/cguCtdvxP30MczNy9D3ncHOZrF2rMdx4CzmqjYy\ndc5ynrvwe6V6YGwSYVnoVVFJ9Z6bR1negX30dHnOKYqCWlOFOTz6f51zf5GcW1GUBoALC+il8cRf\n8nx/9tc3BVq2KAEm/YO45vJUHcjimjTIRwUzmyF6RBA5nMQ9rtP1+bMIQ+CbLJBrKRLr1kg2aqgl\nBdd4ipJfobSyhYlL/UQOLCAqgrjnbRTLJrm9FSvsZewqh8xm3bpGymhrA7ge2UvlYVPm6C4Nc2IS\nY3KR9LIIaq5Uzvm1D59EC4eZuWcrdmvD+R/GFrh+txf9mQNUfv8g6SXQ5cIqD+bEFNqyTqZ2RFlc\n4SH2jl5GP74VK+im4dM7MYdGaPj0Tga+0IteW8PZH64rG+er9iVRNqwgX6Gw89JaWVTWeHGcnaL5\nY7s485nV8uurGubEJIurBIVLVpYz3zLLKjGnZ8jcsllKIPpHwLQY/8hWRCLJ1H1bJWzqbFZGJ8US\nmOMTpG/bIiXPjfJnHL/CS/QQnLnbg3M6zcwGB4GTBokek0JAJXRC546LX+THm75De8U8Dt1iPutl\nXXCUz5y6hoCRZ1emk5dHWzmVrGFHSz97Ey3MTwQZ+mknSlHBkbRILitR8sHMZi9D/yT9H85H92HF\nYpiB/97P8P888gWUoQlcixajVzlxzwtMr0Z45ziR4yWyTRbBwSKeOZtifQmtNkdspU220WT4dR6E\nJqh7LoHtAN+wQrpeperxIeyORqz2WhTTZvgm2anE0MvFTunKDVhnzqJmC/IGOJXCHBvHvHwDsRul\n9Mhub0Cvr0NvqMf/0G6yN29G2XkERZNvb/+wwsK7tuBckEXx2W+2oqcVrL4B3L/eS767Fm15F8ZT\nB0hf0inBaeEQqteLurIHKxaj8htyXpyLY4t+bx9939zI+A4Hjf+6k5qbZBEQOZJEe+4gof/cRWxL\nPSc/UluWRlUcjknyayiIsusIkRM5Spu6SbY4iL+tF9uhoT97GNfhYZoeT2JvX4uWKaKu7qHmqWmM\nZIllHxuQvp1QkIVttViLcYRp4uyfxuoboP9f1lCo9hEYKRDsA6EqzK92MnGJC7Mjx/QWlVxLicWx\nEJ8/ejUbW0fwe/NcVX2aL45czc5cG3vX/Qy3UeJXyfUEvTlsodA3UItlquhp0JMynmJuu4lWhOo9\nkGrxlLNTlXzhtTG2FOUcELk81vwCdjyBvawFkcqgGA7MqWnsVKrc7DCnpqXNYmapm9/VLteDZLp8\n0LRmZiHgQ4tUUGqqRFm/HOdMhly1E2e8hFa08Z2Yp+hTcA87UCzZUdYTGtWeFIWCgRYtkI25sVHQ\n/SUeOHUJ2aEA9S3zPPf8auILPsyOHKWAILWsSCEqm5bxbvCNQCGkEOq36X9vA7EuJ7ZDZeBWv4yU\n8ckDX7pBIdWoUvLJ3EfvZJGSV3qsXLMq3df2U/vIKM6Yxfwmm/i8j+V/1UchqBJfJuFn7jkT7ZY5\nvJMKwb1ObKcgsHUW15QOQqpeLRccnG1kW7CfoUIlPxtax/WVUmr2g/hmdMUmbnlZ7RnjTKqaPUMt\niIyOOe/GNeBETcvvN3QaMjUavskieqKAks1T8srHsstrMKsCZfmrOT0jiaBzc9LrfOQUWiiI6nKh\nVVYu+c+schNNcbtRK0K4j45JWvYSfOccGAvkge+1GMLnptBWiTk0gvHUAcyx8VdEMqlrlmEvyS3/\nbwW03lAvD6VL+5H+9AGsk32kGiQ53YjnKVy/kYpnhsivaEAoCv0fdqE/c5A9922k7dpBKg9lSK/J\n45rUqHRniBxWmLtTFlAVp03StRp9/xIgF9VxPH+M1D1J4t0C3yj0fD0GhQJ3NW9n7u5e/ENQ9ClM\n37sVa36BbLWG8HnKsuyxN9RT8ijUfGknsXf0kny8nbGPbuX0XRHO3qUxdqVco34/eRgtUsH0ZRbB\n0wpi6xrmV7lp+kOB9BNtsGkVFwWGKTZGcCVsmn6o03TFCK1PvIvuF9/Oe595huenOqitjhM8A39X\nMchvtz7Am07cwdCN3+J7yUbedOZ2PhQe5n0TW/j2I1ejKSqfvOrn/MuvbqPOGeenH/g3snU2y/6x\nj0KFYGGFi8ojFpMflgyUth8uFZV5yTERpRJWMi19ncr5c2D4wV1yLm5ZjTU+JWPXXjyEK7ZkA3I6\nqfn9Kxs1ql+mN9gXr5NMF+U1sK1AOX5Hr6l+RQENUup7rnBRGmrRohH0thZEviDTCbrapZ9R12XD\nMZdHq65CcTpwPHmQ0soWzLAboSoUq7044ya+aYt0owTPxpZBZI+OsaDT/LiFf/ssseVC8nSaLZq7\npsknnHirM1hXxigFbObXKXjrUsytdjC30SbXUUDoIFTZyB67sZp8dw16TuZNpxsUtLyJ68AgqZVR\n1MN9ONI2olAkubmRXKWBf6wgJfZnR9HzNq6JNLaukFlTj5EVFIM6/od2Y7oUin4NbUMcdh9l4eJ6\nzMMhFlapuBZMCm15MikX8ZUmlq2SW3RzU/tRNMXmXc0vki45ODJTz8xUiPmSnx+2PIclVGaLcg25\nt+dpnp/q4HW1x4jP+snW2ljTbtS0hm0IAkM2jiRk6qX/P1PrIF+hkFhfg3ZskFSTA0wLgtKTj22h\n9LRJwN3JPhnr5zTKgDvTK21oaiiI6JX2D+tkX9mHXI42CwXlevIa2PNYOl+dW8OUJZ/1hXnUSjCA\nncnIfTaTkd9foVCGo4n6KpkbHYvLjy3GUXYdwdqxHiVboP75DNqxQWxDnsOUkoV73iRTq9D62wzt\nPzVRLORZoahCQcU9qxB4yUXkRA6rPcd8yY9DN9lw2Wlcow6cCwpCF+R604xco2O6kBcaJ/N4ZhRQ\nwHLpJDq92Ib8v7f6B/H94SSKadP+1QHGrxIIyyYwYssmzGwS/0CKTI1Byw+GsfN5PCMZYhdVYTxz\nGMUCz0kXCxtsZi/yoWVVal8uMLcRprcoBE4b3HDbThQL1tePM5v1M7m7DmGqHIo3ssI7QfeaUSby\nIR5KV9LsnufxDd8iZxkcLjTwXLabHe19nCz6OTVdjabalM4EeK6/E8ttU/eiSf997eh5IYFtRbA1\nhfZPSzhf0aex8OZ1Zf4PgPP0pPQzv3yY0G6p8rAzWckhGRxGbW3E3rYanI4leKGJurjUPAmHUVsa\nobv1PKl8yWb1p8Zf6on+rKIo1/3XX8Cn/8Ln+7OGYoO2mJab/OUbyEddTF7soemxFG2/SoMC2UqV\nyX+20XNw+uNtRA6ojFzrouYZHc+UwDttY/ot0l1BAsMW82vcCB2YnGF2awRn3ELNm/h+cwB9PkXb\nP+7CTqVQbCHpyUs3+K7f7ZVeu6vlQUOLRsisrMH9m71Y3vPFW9/3NmDFYgSHTHmjuKTZPxdRULh2\nI1pFmOZ/3omi67higuJV67BO9VNxWoLGwg/uounjOyU1fMkz1P+1zVQdECxe1kLHWw9hruuUheyB\nE2SafVTvzzNwXw/xt/cyt9ZJZl0ji+/spfODu2UG5pIUvet7MYwn98sb6C2r8fQtULhuI96f75H5\nanlJ+Gz4zE5KW5ZT+8WdjLy7G3YfxT2VYeKtPWjLuwg8fgLL7yS1oY5Us4yyCh+L03N/GnVRkiGT\nawqgwPx6QXxDkQd3bef9p97CRxoeQ9ds3th0iKdne/C7ClwS7iOo5bi58wgevcjjR1cylgqhek3y\nFeAbVRm9TsUxp1N5uIRWELQ9vIiIJ2jZu0RrXXj1pGQr6Gbm9hWoJZu6l03Cx5LYhsLU9Y3EOwwa\nnxBkauTiHtrvwJ5wU/sCeEd0AmfBSCkM3hogdBqCQyW80zZ2MkUp6KTvHS5sh0brzxeIHstjDg6T\n3taOffG6svpBuAyUcBDV78e8YgOO3aeo2DOL2LaWUtBF7OIm6Qlb3YNvMCVhP0sbQ9X9O/GPmXLe\nrO6h8+/naPnoLlSPh7m7e9EKFtbJPorXbKQQ0Kj47i7sdIaxv10js2BZ8sEbjnJzxNq2ChRof0gW\nbPG39cqD84ET8nOdTlRTsPyzshDI3biJ2CrppzTHJyhcuxH9zBjFoE7kO7sIn0qh7j2B6nZRWtGE\nYtro8TzKQhzb4yDbHUUtmrKY3L6W1I4egj+UpFK9phpzYpLZD2zFN6pguVUWVrjwTptMXW1S8oJr\nAew5FxXHgZJCR/cUYX+WU3PVNIdi/Hx4LYOTUb47spX7ptZzY90RBjKV3Nv+FAcWm3BX5BCWiuPS\neZzLEsRerME9alBxqoT/od0YaVsCokCmBrwWY4m2rBiS4o8QsPcYdixWbs5dOLRlnaiVUexUGi0c\nRsnmUQN+eSuzdrmUy21dg2LZiNoq9P5x1IFxLI8Dz3QBNWdiJC3GbqyRBNEpgWtaZjo7kgpnF6OI\nIS/tNXNcvKKPF2Y7iITSdEbnaVk9yVe6H6L34hMgYGvrIO5lcSipaKEiyRVFlPocRlZQCgpsHfwj\nEBg1ESq4ZxTmVhss9mj4h3NEj5lETpkkGzUmd4Dp0xCqIiWVRTi2q4Phr4SY2qbjmtYIHHdweE8H\nel5gVZRQ9wUYu1oj9WIV2VpBfom7lftDFcqqJBgCt2HSsmGc9vA8N3iHiJU8+F0FKvUkl1ecZiBT\nyUXhEU5k6zlbkMXW5tZhKptj4DMpdOdwzqv4XvagFwT+cRO1YJFp9YGi4Pn1XmyXA/doAn1sXr6k\nl65Da29B8XnLflt1dQ9WPIHi95cbX1RH5c3NUpa0vRiXEuq2FqxUCr2pQaqCQkF5gKuvfk0Ol7ah\noj17ENG7Bi0UlETqpUIp0eZmYZ2MrToHNDsHuQQpixbb1kpw4FIuqRoOkb9hE6rXS+pNW9Czct9U\nSvImzZyewTGXQdl1hM739OF+rorh18ufI9bjofIpJ6oFLr1Eqkmh+X1zxLqcuO6dxHaCNuTmK//y\n7wx8fzkBV57uT/ejFiHVE2bs+w2oa5dTCCusfO9xqh4bLHMiHEmBks7KIvLpBqoO5dEK8ntzpG2S\nL1TT+KmdtP+8wBOXfg3aMsxdWaD3yBux0xmWfVE2Fodf5+HQRx9Ae/YgxlciDN7i49+eu5aST2fi\nOotPPfBNftP9a7reuR/1lI//efwmUnsqubr2NPs/+XUAfptaw8KRKkbNNO8JTrKY8XDN6et5aqCL\nD77+EboevJtPP/gm6p8t8eRHLuH6Fz5A17fnGXvXCkIXzZFss/H8cg91n98p7T5XVaN1tmEc6Jdx\nPEvgQVEqoldXlX2fIJsv2kIaUSpib5dpIM6nj6Ct6EYUCuWbei0URLlopYwiamxA2y1ZAa9JQcMF\nDRnDQDEcf5RpC0s3f30DWPMLiMWYjHvTdQmA0jSshZgEQiWT2ItxFMNAdbswpuJou09KirJTRS0J\nMtUaoX4b25CpIIWIgjOuMHORweLRShxxFcVrIjTB6HQFKFA6ESA140MxFUy3IODOk12TA1tBWzTI\nVyhETuTxzBQJDVjEuhyoRVhYodH23REKESel1S2oJQFdLZS8KnYySSGgEu9UKQZ0Ji5x0/+dLhzx\nEoUaL9moRqLVIBdRmV2vM/u+reQjCgsrFXIDASb/YSv+4TyFqEX0qM3I6zVqH3HgcJk4Izl6Kmfo\nXXGWOyt20uGc4RrvCC+v/iUlU2NLYZJTAAAgAElEQVTo2u+wc76NB5NVDGbkArkz1cGPJjazEPPx\nk+GLcAbzsMSs8UyqWA6p5qz79TD+h3bjXrDwzpSofXwCZ8xE0XV5fognJKS2UsL7ODuK2tpUnkvW\nqX755842nLvOlCnRyq4jqB4P6soe+XhHK6rfL2MeZ2alXWmpufyqhsNR5q8AqBUyI1hd2SPnd3WV\nZK20NJULe3N6BtXrRRSKUh145BTUVqH6fYhMtiwBd56dlYkYhoriMNAKEnC8uNKHayxB/QtZ+v7G\nyWKPE8WE6V6FUF0SI1Qg1WLjuXGG8XtNrLzO81/cQtSTZe+ubmyHIN1qoeUUSnEXwilIdkg1nFAV\nIscKZKtU4p1OSh4JUh78rAS52stasNwGsze0Ezqho6zoIPDj3WQa3JRqguTqvZhuyK2oY/Lvt5Jp\n9aGVBP1fvUius3lo/aVJukHgG1MYukkn2BZjy9bT7HjrXnbNtuJpT7BnTzc31R+mffsId258iZuq\nD9HimGNtaJz/Uf8YP5rczD9UDLBo69wYOUyPY4oPhYd5cv8q3rP3bei6Re5ghFKFhbPPjf+szsQO\nHbUIplvFdIPlhESrRqG3G7urifDuCcIP7qJw3UbsXA7V5cKcmsaKxSSUb0lJpTiMcka71TeA+uIh\nzJGxci1WVunFYtgDwyhLVhe9phpb/+9L5b9Izr0UZzX8Jx5qEkK0/9lP+GeOviMj4gPv+T5inywm\nxz+wluCAhfcXe5i6byupdpOKI5o088/a5CMqXbed4fjvu3EuQLZeEDoDpguSHeBcVLBcUL2vxMIK\nAyMlI1vqnlok3RXE15fAPn6awnUbcc3lyda7cf9aSkrTt24m9NKIfNF2rMdyajgX8oh9x8qZbLF3\n9BJ+cBfKxlVoCyns6dlyt/VcFp15xQac+/rP5/4hZVParmOULlmD0BXUkk0+YhB8eYTcqgYUU5Bo\ndRA9mkY5PfwKaa9iOFh42wbyEQl06b9/8ytoowD9X91M5z17KFy/Eeej+2SE1cWtBJ4fhKCPzLJK\nfCdmy1EA50iK50bsHb1UvjCFFfGTbvZg6wpG2saRKqFlSghdBVswep2fhqeyDLxbZUvHEKd+tIzG\nNw0yFg+RLxpsbRyixzfFmwJHaNJ9fGq+h72xFjp9s2z2DzBTCnEqW8vjx1Zy+7q9PDvdSeLlagoV\nNmpRwRmTJGz/mIVvMM3MtiBaQUgKc6vCz++6nVU1rz6z956/+R6ZtiDuqSzFChdFv0bg+ALFugCJ\nVifZaoXgoM30dkHT4za5qC7lp1G5WTsXVEJnbdL1Kv5Rm0ytSsWpIul6g8BwEdOr4T01h5IvMr+j\nicjjfRTWtFAM6iSbNPScIPrNXWXpvD2/gJ3Pk79hUzlaDGSeolJfcz4XdClnGKRscfK6emoflhna\n57LwEn+9hYpHT2HFE8Tf1kvwbBZ1/ykKl69GqNLbHe/QaPjcHrAt+r69kcqXdea2mtQ8p8nG0oYV\ncLQfVAVWdYIlSHb5CR1doFTlY+RaF5UHBa6FEsZinsQyP4Ef72bwc720/eOuslRPbF1Tti6APJxX\n/O4kNNSUJV7nMv8W3tVLMahguqHxU/IWKfq7M/T9Uze+saVoowoFe32KZzZ/nfcO3cJUKkDsVATV\nhDtveAqfluerx3bwufW/ZLtrhtv73szV1Sd5cmY5i1k3i1NButqn6D9RDwpED6gsroDAIPjHLXwn\nZpm+slbKHhWFkY/38si1r3/NZI56azPYdnnBL2dXKgpaRRiiFeWuPpyXmaFqssnQ1lJ+D+u1NQjT\nKoOozsnXkrdvITCQId7tQzUFuaj0R2fqBdEjgrm1ClZtAddZF7nGErqvhM+bZ1vdEE61RNpy0peo\nYmy2go9t+B3fHL6EuYPVVK6fIVtwEF/0omR0nNVZCpNe1KKC5bNAF/hPGWQabUKnJQ03MGTjnjPJ\nVhlk6hXUEjgSAt+EyeTFOnpOvqdcsypGFkJnTcZ3qNgem7/esouHntqGYst/V6wy0WM6993wW4YK\nlfz00EV0t0yxKjRJznKwa7qZG5pOMJCpZC7n4/1NzzBthvjyicvpqpzjSH8jv7/qK7z9xB3MTIbA\nVAkd1bHcYKQFqRZofziB7dDINnjwH59nvreK6KN9KH4f9tQMajSCNTeP6naB4ZBerSVPc1kaGAhI\nMm1HK8wuIIRAqauGxQQik8HOF/4og1i+gBqKpiEsi/v3fZaudS2vfp274z/kIVfV0IIBeRjpbENM\nz73ipkZvqMeOxWV2+QX5o6gaiqr80U21Fo1w+mMddN4j96HcTZswXSrOuEW83aAYhPrnMiwu81Dy\nK0SOF4h3OnAmBFpRkI2qWG6FQliAUPjtO77ANc/egzpvsHXbSV7esxw9o9DxjTGsqiA7HtzLc3+9\ngaGPGhTm3fjrUqTmfKgZDS2v0PK7HPpMgsde+BXbPnQXqUaVrpv6OPObLtJdJfSYTseP42Ra/bh/\nvRf/i1EOHm7nvise4z++egOqCSWfQvXeDE/+/Pu0/ewuqrvmCFw7gN7azGeefZjfp1dQqad4Pt7N\ngekG0iNBhMNm6MZv8WCyincEZlnxtfdx4m8fYMOB2zAtjSObfgLAg8kqHrz3RsYv1xE1eUKhDIWX\norgWBO4Fuwz18f10N9qKbvrfXkHbL9KYPkdZen4uL9u+eB3GQqa8fqIoKOuXo2aLWKf60ZsbywVz\n5o2b8f5iD/b2tRTDDly/28vZL22h497dr3g9FV3n3498ka5lda9uzh0aFh+89X6ssUm0hlpEMoXI\nF7AzmbJtQetoLcf0wJLFaXBURj/5fZJ6bzhgTRfKmRHsdLocBQjAltXoMwlKNSH0eBZUFTPgQjVt\ntNk4o7c14owJSl4F/4TF5GXQ0DnLTNxPadaNcFtEa5LEEl7sRQfCEChuE82wMU4uQdBWZHC7ixRL\nOhzz40hBPipwLiiYHnAkILGuiKLZOAdcqCXINViEj6jEewSNT1nEOwz0jMDICRJtMi5xbo1O5KTF\nwnINZwISXRZogL9EdWWCuZOVXLSlj5Nz1eiqTWzBx68ue4APnLmd6+pOcHvwACFVJax5iFlZDhb9\nXOIq8jcjV1C0NVYHJoiVPHS6Z3hkdjU502BwqBrDV4QhD46kgntWZmPbhoKeF3gnCiAExpkJFKdD\nMjgSScSydtRsAevMWdlIdzrB6ZRngmLp/DnkAjvKhRJqvbkRc2wSLeB7hf2gLONXFO7f85nX1EKg\ndbRiD4+h6Hp5b/2vlgJF1yldugbHyyekdaqhHhwG1sQUolAg/rZeIo+dgaqIXDs3rUIbnMTsakBL\nF8jX+dEzMtElMFogW+3AO1Xg7O0GrT+3GLpZwzmnY/ps9LSKkQbfhE2yWaUQsTGaM5hDPnzdMVyO\nEqnnq8l0FqmpizF/rAotL1VatgGBAchVK0SPWRQCKnMXl/CfcJBpsvGOqehZQfRojolLPCg21H9u\nJ5lbNpNo0bANGRuVjyjkqm0qD8DceskbUWIGLasmGRyqJnDSILmySHVtnNn5ACKroxQVdmw6gY3C\njtAp+vK1+LU81UaCuOXBr+b5w+JyHmp9hl+kA/znVC+XRc+QtZz855lNFGY9KCUFLafQ/nCC4deH\ncC1C+HSByUsc1L1QxBHLg6rK+ioaQdRXYQZc2IZKtsYg8OPdf/Ran8sB1+vrMBuj6OMLZabIhfnz\nwJ/MKFe9Xr727P/6b+fcX1pE3yqE+Nmf+PjNQohf/tlP+GeOM6enxN++/VtwpI/ijtW4hmMIj1Pm\nA16zEVtXiHXpBEYthAIzNxWxUgbBkzpaXpCPKjiSUPNijNPv9VPzkkouolKzO8WZ9znwnnFS/9md\nMkKgUMI62Yfe3EhyfR1GykTPmCTb3USeHsacmpa3z73t+I5Ny9inpZxN84oNWE6Vol/DtVBCtURZ\nDiu2rcUYX5AH4wsWkXND62qXBasQJN+yhcCPd2NevgH9mQMSprSYwfa7JPIfXnGIOVcUwxKgYXLm\nPNod5Bs8lkHJ5sHQy5IFvaWp/GetuwMxNonSUAuxJIXVTehPH0DrbGN+WzXhB3ehBQIkr16G//Hj\nmOs6cYwvkuuoxDWWILkyQuClIUb/poPAsE2sS8W1CMnNORoeNsjUaqx711FOxaqZmgvy0+3f5EtT\nV/OG6EF2pjrY6BviX09eS5U/zeBgNRuWDXF19CSfee4GUEAxFdwTGp4Z6UNyz9ukGjWqvyp9YYrh\nYPy+i6h7McsDD9xB16qGV73ovvcjP8M5nkApFMn2VOOazjB4axDPpKSQKELOrfpns4z+lZvanSbF\ngIbpVrAcYLkUQv0lstVShuOdsUm0aTjiQgKdTmbQZxIMvaWepicSlIIujGQBNVsk0x7C9bu9KOtW\ngK6iTS4wc10z1U9PYQ6PYV2yBu25g1iXrUd77uArDj3aim6sE2fI3bQJPW1JD+rTh0m+8SLCL4/J\nW6MNK0i1+/H9dLe87Qp76b/XQcdbD2FfKqUyC3f2Ehgrka3UZT56TTUiHMDuH0KYJn3f20DndyyU\nlw8zdd9WsutzdNxxTEZvNdSDpmLPLaCGQ2UPfv6yVeQrNAJnMyyu9BE+lUVfSFOsC0ppkkOVssEL\n5u7iSh+RoynE/uMyk3VViPk1S82UIuhZ2UDJ1Cnkai2EQ2AEC7RWLTC6GKY1usBizsNXl/2Ejw/f\nSLroJJ5zcW3zKX66ZxObV53l5soD/NPuN6JNO6lfO8WtDQf4309cj5FSKUYtKg6qoIBnzqLkUcuR\nI+gqHD7Dv+//LF2rGl/VnJsZWxCJmTgYurzxyeTAYfDo/Y/z5FP9WJNS9qtGKuRt84UFNnLzsGJx\ntIow1mIMtakeJZun0FWD49AAVjyBuroHZWYRiiUK69owkgV58ygEyXYfuUoJaUxtymEMutByCtnW\nEpqvREUwQ0twkQP7O7ly6xGcqslswU+84GYiEcS2FRy6Re5wBUITlJoKtNfPMbYQopBwoaY0XPMq\npltQjFo45jXCZwSmU94MAdgaeLbNEz8ZQU8r5FtkHrzlt0AVoAkqdjkwbppj4VglioBSZQlXoIDd\n50OxILJphmTOxaqqKUZTYbZVD1LriKMhOJ6p49BcA29p2UdIy3I2X83TU12EXTl01WYiGSBfNCgM\nBhC6QCsoeEcVbAN8kxZFn0r0QAw1kcGqCqHNJSRhez6G1VqDUBTU/adQu1oRo5PnD4v1ddKnekFc\nyjl/3rlNX4tGpJok4Cs3L5UNK7h2Qz3Xv+vyP5ovwZow1Q0Vr27OjcyJRDwn5Y4OQ1KOfR4e+9Jv\neezbT8kbyVAQc3hUSqEVRe6BS4065aKViP3HX9EI02uqwe3C9roRp8+eL643rUItmNjH+ph/1yZZ\nVFQr1L2YxRiYIrWlmQ98/mH+/cNvYuKNJey8ju4tUf1LJ8v+4ThPHV0OpoJrWidfKz2tPfcnUWyb\nvjsrsNw23T0TqHe5OPO/AngPu7F1iB4tMX65TusjeYSq8NSPvsvVb7yD/rc56flmiscf/wmd/3l3\nOTaycmeIkS90M7VVRanPEf69m/D3d/Hl4Z3c8q2/xzspuPbeF/jR8U04j7vxzAgCb5ngi+0/Y63T\nSfd376Z16yhP9DzKFSdfT7U7xY9bnwXgnsmNrPeN8C/P3cSGFYO0++bpT1US/1Qz4+8sYs66EU6b\n7m/nyDR5mXtzluAjPhI3pGn7eIHTd4fp/Ns95TV+8sNbqX86gdo/ht3djNh3jPn39uJMCPwP7UZx\nOpm5cwNVD5z3fSvrVqDNxrBm56XCRVFkc/UC+vZ1776S6999JXgkdItMbmnOhahuiLz6ORfLno/z\nW5p3j37nGR4/NIU2Nos5M4u6ohs1lcEcGStfFmiRCiiZsgG11OhRvR4ZN+T3oM3GpA1m6fwz/55e\nqn9xBrNHwrzmr+vAFbcoeVXiHSpqCSy3BGfNbbRxzWiyON7tJdMom+FbN57myEwdm2pH2TvVRPF4\nENMnsD0WekLHcgoUG5SqAkw5sfwW4UM6mQYoRi08ozpCA0ccrMvj+B8KEFumgg2ueTB9UAgJrMY8\nzj43zosWMV+uwD0jiK2A8AlINym0XD7M6bEaqisTFH9dxbV3v8TDJzfw+u6jdLpnWDR9/GGmh7Az\ni88oMJqq4J1NL7HNPUy1pvP1+ApOp2t5cbiNuookqYID09KwhUI67oaSCqaCZ0zHNyEkC2a9i7oX\nUmjzSYTDkAki8zHpNU1lygwdeOV5Evij/UmLVEA4WG6O6M2Nsig1TfSWJq553Wqufdt2+ckeF+Tk\n3hSM+Khurnx1c25iUSTm03KdO2dJEIJHv/0Uj337qfIeeI7JcmEighaNoLhc5Ltq5Hl8aa3TGxsk\nuLNQQCxvQx2YQDTVkKvz4VzIk2724PvZHrRwmIUbevDMlshFdYysIN6p4UhINdPoNSrNPdOMnK5B\nCReJPOXCvHmRoDuPUzPpO9aIcNo4wnl8T3tJXZ6huTLG0HQUo8+NkYZcpcAMWET3aVS+PEuxLkiu\n0iBdp5FaV8AYc1B5xGZhhUa+2sRflyI7EEQtyf8L57zMR6+/ZoQzffUEalJkBoJ42xM0h2OcHK+l\ntWaegbEq2htn2R4d4InJZczOB/jp9m+yYHmJaBmmrQB+NY8Di+czPZzO1PDWyp38x/QlzOT8TMaC\nFPM6jdUxPEaRM+PVaOMu/MNQ/cI8wzdXIjRofXiWYl0Ax4GzsiljWyiGQfySVkIvDlPsqMUxLsGW\nist5XkHT2YYYOx8Pp1VWYs3J6GDF48IcGSN346ZyvFl5ndN1mfRSKMqkg8rAfzvnXhVY7P/X6Ns/\nID5w8T+X0fSiVGL0zm6qDhWxnCrpWo3FTSXUlE7kiEL6hhSloo465KZYW8I95MBIQ8kHNXuKLCxz\n4J22caSXpF7xEoUK2YGN3dGLVpISblQN0buKQtiBM1YsFwuNv5os3/SALFrEwAhqKIi1EEMxdOxs\nFnv7Womov3Yjzsf3kbtpE+7pPGreRJw4K7uqlRFsn4dcox/TqxJ47izW/ALFazZS9KuEXhwuL1jj\nt7eTrRFEDwtSTSrNPxh8RWdl6u+2Uvu/5WZ5DmyWuWUzBb9KxffkAeEVhXOkAjuZRqzrhr3HpP+7\nzU3wh7tR1y5HKApTlwWp+ZKMLtETeawTZ1BdLgrbVzC/xkn1niyJdjcVR5OMXRMk12AhVEHjE2C6\nVDK3y+5i7mSIUoWFUlT48JWPcDzTQI0zQUlovD5wiM+MX8dgLMLNLUd4ZHwlXkeRgqkzG/NjmSru\nE27YlMD1WIB4j6D7K+MMv7WJYkjQ+dnTDH5oGdX7TVy/28tXhr7G8uZXeRN9YkLcdc8PcEwmES6D\nVGcA56JJps4g2Jch1ebFN5oDIX3Z2VqBb1ShULHUgV5bxD3kINRvUwgo5P8qSfCnftlYKQhmLtIJ\nDgjcCyae4SS2S0ebXGD6da34x00ZOxCNgKJizc2hNzdSqqsg0eEhsncO2+9CjWdkM+noaRnPUlNN\nqbUaZeeR8o2z6vGgtDSUbyTONWgUw1GWCGffsBnPr/agdbYxfFsNjf+6k/jbewn9YBfaim7ytT7S\nDQ680yZtHz/F+BYZUzH20a00PZ4g3eqj5FGJPHY+miR92xY8MwWMo8NQFWH2kkoi396FurqHYtSL\n5VRxJIoIVcH06jh+vx/rsvU4RxZIbKgh+NIw5vQM0x/aim/SRs/ZOOcLGNNxzKERJv5pK4oNjY8u\nMHRLhFLAxkiqKDbkO/OIksq7N75IQej8+MRG3rJiHz/rX4fTMOmtG+a2ir20GUn+efJaVATPnOgh\nFE0TnwjgGddxblkgk3NSTDmo2GvgSAs8MyUWu504EzaB4TzGxCKFlijO0xN8cedHWd7y6tUPH7z5\na5jjE3KDTiTPK1WWNnktFITKCGJi+jxwp7MNe3i8/HrqNdXY8QRCCLRwqHzQOddgU5d8XWpNFVbE\nT7bejTNWItXoxBm3mV2vE+q3mdku8J/VKHnAXJnB6ylQNDWqAmmmYgGKeYOG6hhX1JwhbTnJWE72\nTDcRi/moq4ozOR0mHElxW8shHp1cydhkBfW1MSYHKmUBvWmGWMqDesSPIwm5GgkkU7bFEELB3hci\n22RS3zJPW3CeFw/18JWrfshHjr6BG9pO8LOXNvPGbXuZKfixhcr+8UZu7jxCl3uabw5dzNV1UqLt\nVE3+o+klDhSKfG7iWq6MnOLLJy7nnuXP8u2Bbby59QAP7NmBN5wj6stg2iqJp2vIRwS+cQWhSjmw\nrUH0cBLL50AtWCimje3QZPG4aRXa0LS8CbMs8ps6JWQsVyivt6rX+4rmpurxSOBOOlMurrVQEJzO\nVxwMzn3czuURhYI8EGgqX/ntva/+hubQsHj/hn9Ar68jt6IO48nzDaz0rZvx/+oApUvXoD99gPjb\ne4n+YQg7nZEqqKWbAfvIKfTWZsyhEdS1y1HGZ8ivb0Ut2cS6nIT6i7j6pjHHJyS/wRK4f7OX2fdv\nper+nageD9krVjKzUaP15zFO3xWgumWRxaOV0JLBtlWavqsxfqeJWdQgbeCa1rBXpWj6ssrg+1Vc\nR90cuOcrbPvYPSxssAie0gmMmsTbdWq/tIu+b11EfeMCi2kPrR9Oc/oTYQL+HPGpALXPqcxshurd\n4H73JAu/bSC/PUX1D9ykGjTSl2Zpvf0Ifd/YJJkBwSL/sP5JsraTktA4m63i240vM26meT7XzC9m\n1vPLjj+w/ejNFC2NH658kKyts8yhkrKLvGvwZk5OSbvAJ9b9jh9ObSH3yTqSzQ4W1ghQBd6GFO7f\nBKk4nuLsm30E+xWqn53F6hsogzytHesxYnmUkSl5CIRXRJ+dU8SdA8P9qaE31Mu1RVXId1TJxnll\nJXM3dFDxvV0Mfr6Xtn/cjXXpOrTnDnL/vs/RtaHtNQWLwVIT36ljHz1dLr7KwDCXC7W6sqzMUdqb\nYV7ecIpEUoI3z61xoSDCshHdzShFEzWZJd9WiVDBeOoA+Rs2YTkVvBM5Eu0e3PMm4zsMUMA/BInt\neelZnXdCtEAgkMN8sYJMow3hIm9etZ8/TPSQzLgI+nIYmsXkcBQUgeYzsRcduGY1TI/APSubb5YB\nhahN08opJhaC+L15YiNhvCMaxSWrCwrYhsDRmCG/6MJVkcf1vJ9Ui41iK9i6oGrZHEIofKLrN9z1\n6J0YSYX/eevPuMwzTJPuY8eJG7m57jCXe0+zYLu5xAUDpTSGAt9Y2MoG7zD/NnAVqiLoCc3y7Jku\nqTRqKKEldTxTUuFnpAUVJ1IkO3y450q4BmXkjzk1jX3xOiynivv0NPZiDLW6EuGQfueyR90wQFMR\nqTSKy4U5MYmybgXikLxsUr1eFJfzFQ3F8scdjvLt9bk97/79n6drfeurm3MHh8TfvvO7MDAmlTTR\nCIphvOL8/F/XZ215F0osiTk1LdVhioKIJVBCAayxCYRponW2UaoJor54qKzuszubmFvno+bxMYbf\n1kRwwCbVLJsmlgsQUKywqdklmNkofdFGWhBbZePv18jWCzkXt+URtkLFi0523L2bF6fbsYVC1JPh\n7K5m6jdOMpPwI4TC19f/iHf96j1YPvv/UPfeYZLd5Z3v53fOqXMq5+qcw/TkGU3QREmgLA0CgYyJ\nBgxLMNhavPZ1vItHXi7LGt/FC77eaxuRwUQJBMphhMKknhx6pnOq6uru6sq56oT7xxmNzD72Lo/F\nfe5zf/919+nq6j5vv+cN3wCKiTNQp9mUGWpLUf5yF+mNMrrPIjABhbvKNJfdxE4LVvcbbBiJs/BU\nH5VOA8thsW3jPAAXLvXxzv0neGVlgELVSYe/wNxamFigxG90n2GLc5GLtW5kLH47MM53iwOYlqBi\nakSVAne453iktIHHV7ZwS3SSI6l1RJ1lVqo+puZa8V9QKd5QJ/yyiqVALSIwFQhMmzQ9gtYjK9S7\nQ2gXF9CHOnAs52zrKUXBqlYx+9rBsLDOXkbp7cbM5H5pOVk/tBvXkcvUbtqI+vSpXxJIfu3+Erf5\n0ZgmwufD6oxhnhv7nwqLvSGLq/+vTq3aPDywc5i9b9lBdTDGuE+i5ViWZkij6ZUJTlYJTMqErhrk\n1il4zqhEjwqaHpneGxNYL/rR3YKmz8JQFYLTTeJ3gpZRWLrdIjgBStmgsambekAici6HtbKG7POR\nuL8T75KOI1dDdrrwrgnMy3ZDIm9cZ1tipdKU79uJIlQkpwvRaGLValR296JeSaB6AraU/nNnIL5C\nY3MPalnH6m5j+v0tRI6uIZ2+iuYJY07NAaCi4cw2KW1tRT5+hcnPbKbnL48Rei6ONpbE/8oCqfds\nwX0mjrxhGGstg+/YIoX37MXpCFAc9qFpQdSijvflSeTOdsxsDmHaaoOzn99H4GeTKL1dmJcnbK6U\nKeEaW0EIQerOXnwXV/FfSFPfvx7H6SkkBBgmUjRCtT9I9HSe4qAXR9Wi1qpRbRF0vGJiKAqOMqzc\nV2ekdZV0xYMUqfMXe37Gup5lfra8lYPhaR6Jb+fBzueYbcZYaob5YPdRLpe7mM5F6Q9kSFW9hL0V\nSpMhBAI9r6G7BNELFs5sE1QXwSkTVZe5q62Pdx8cYt/9e+gd6sAf+Jfl6X/lmKs1Dw92Rdh7YAjT\nrXKFEv4nLuBOVKj3R/DOl5h9wEe5XaXpg9C4Da2xIe4WjrRCPWpRaRd4lkAd1yh3SrjSFsl9Mt44\n+BI6csOkOOABWaGwOYI7ZdtQpN7ah390mdrOAWo7enDOZShujtoqqv22jyKzCcx40i4cajVW3r8F\nz6M2z12oDpuntHEIsZBEbBjEWk6hXYzbQhjTcbvZKpXREgWkQID0m3po/dtjFN6zl/CJFSTdhHqT\n6nAE//eOs/CRXqZrITK39hJ5Jom/EWLyt9yELxm4Uk24+jr039XUkBdTrN6/DuezF0h8pJNArQ1H\nPIMcT6HmG6QORPA8egp52rHEQIYAACAASURBVPaGrPUGKQ77CTwxBpJg+vB2ep4soj57hsamLtRn\nT2Ns7CP+oUEaQdtTMb/OjTdhUdhg4FyR6b1zjv3dM3x0+CU+f/Rebu6ZZKEZYsCX5guDP2VLZIHf\nj8zxkcn7eCK7kbfELvB4YjONeR9v33mai6udKHmZStn2FA2c0wjM6njjVXsgtqWL1D6T6H8/zY7f\nvZt3Hxhkz93b6Blqx+9/YxZX6aXs4Z9/8TGwLITqQHg80NeJMdyFvr4LNVfDyOZsfuA/U962Mlkw\nDVtwxwRjbQ22jSCbAiOTtf1YnRqUKmCaVHcP4JCd4FAQ1QbFAS9KzcKZaeKaWqPcZ9tJCd2Gewns\njUo168KUoVTTCPsrdIbzzK1EmK+H0IVCvBwkGY/wp/ue5KmpTUQiJXoCWZ6dW8+Bzhkm4u3gNGlv\nz+LsqNDnz5JruIgMZcllfPTtXyRpeAhHS2TiQVzr8wx0ppiZbuOOwTEuFtp5fnU9B3tmeWVpgJ6u\nNeaKES7OduH319gSW+K+0DkkAatmgHuDF+l05tjgTvLt7AiLzQi7fLMUTBdH44O2TU3Zx6nVXnb2\nLzCfitAwZTIpP00vxM6AMED3CJwZC+9Sk8wmN0oVtHMz1AdaQAjUmolYSds81EYTc1M/6lgcy+eB\nbAE5Eka4nOhb+xHzrxdtVrOJmS/YXPhrcDM5FMJYXgHTwmo0bGGnQAAjk7l+jVWx+XiHPno7kY7w\nG4u5RPrwDzNFlm8NE330ij2odruQerpwvHwRyeVCjNtFldMVtgcH19SdjaUk1orN/Za8XsxCEWs5\nBYaJksggJhYQXR1oT50i+9ZNeBbLKGen0ObTZN+zm8hXjtnc/YFW1F9cwlcPITUMPO/OI/33KK6U\noDxicOfwVUbbWjBLDoa/2iR70EQqKPSOrDDnibJt6yzOT8zyRf0dPPT73+BorZ+fPPBlnhzuQx/1\nY/xnB67H/Xz8vqf5xSvbueXPLzFTitD+nxVir1a570svcTLfzV9/6Ov89NtvJnRoib/e9CMmb/Dh\n3ZzD954UP5s9xn9Yf5YvJbcyfevXeNdj7+NEvJ+pp4aZXWjjU7tH2fG9B3n5wmZcHRU+EJvgi3M3\ncHbX94nIKnd86UFu2XWUL6Zu4Rt9L/F7vef54uheFl0BNviXubzUR3CqQXanha+thGHIGFkn5W4N\n9wq0PbHIxCc78MrtNKIulIkE0lwSqWnQ2NaPUmpgLCXtGIqEkbxetKPjNspofMqGPl+DOl+3EwLM\n9X2YV6YQLVHEKRvZpxYbuC8sYVWruJV2HLMriBkb8nj3H72N2Bu0G0ovZQ8/9a1XbAG9UBCrXEZ2\nuxHFMqKjDXPlGvWksw3R3Y6oNTCuNTuWriPVm4iAD6o1agfWo8xf20ZXq1i1OlajgSI5MKbmsPq7\nsDQZ5+Qq1nA3jbCG/9IatS4f9YCMUoNSt0TLaZP8sMCqy7haq0g+He20h1reSXWwiRJoEAsXGcu0\nUamp9ERzbAknGX9qmGbIAAlExsH6bYuUwhYtvVlyGS/6pgoNIWOpFrhMFMUkt+rHmVTQPRbOtAAE\nnu0ZlIseKm6JLesXWZqL0vSAZyjP0FCSlYIPp7dBwFkji5cv7vgeRq+JIiz+cvoePtx6hYZW5JPB\nOJ9b3cc+zwymVeMfsvs4Xe1mxJXk1cI6rqZaKRTdZJpuzAkv9Z4mmAJLtYieh3K7wFQFkqnYSuEL\nJUS1TqOvhfKeXlxHLtk0gZVVhNMJpoWZXLVjyzQxS2WELGMsryC3RNEXEzavOL583fcby/qlZvW1\nOsRqNhHrB5BqDayarc6NYXDok3cTaQ28wTyXOfz4Z7+H1WzaSNBczqYAAGL3FliyBfmkzeuxVq/l\nNNPCzObBNKjfOIwyncTqabNFKlP2NVYmi1I3MXatw3dmicbmHjIb3bjXTErDAVpGS2jPnMFfD1CL\nqrSdqNLwK0Qum5iyoNwhcGZsVxdnSqLaZqFUBZIuqLcaeANVCu3whfU/5tHV7aSSAawnwmy4f4Kr\n53oxcyqxrhzfO3ILlgqWYiGcBsq4h6bHwu1tEA+5CV8WlLbXkbaUqa65CYzLZA802PDFItO7/DRQ\n8C7ImP01irpG0FUjj8rG8DJL1SDv7R9l0LOGrsq0uYvEa2EeTd7AR9pe4efZbfxmcIlHC3345Sox\npchzuU1UJIlvL+zh8OBjXK528dLxzWSPt5AKOLDqMqIpI6oy9TB4lywcZeh4MUcz5MQ/W6fW5cN9\nIY7R24o4cQEzlyf1ni04fzGOHApiXp1GrtTt5eXS8nWq1PW4mlzC3L3Rtu+aTdoL2H8+JPF4MLti\nWAtLdiNtGMgmmKUShz5xF5H24L8Yc/+/bKKXlwuHD3/qW7wykWTlUhJkmWKfG+9CFWEKtLk1lLpF\npduNb9FANiwqMYVKOzRPBLActv9fIwj1iEVuI6CaONIKzpRE6JU45eEwKzfKCAT+qSqSaVF80wiW\nLAi8NEezOwznrsLS65MMK5VGOFRkvxcRCiCXm5hjE5g71+NoWgiPh8bmbpTjV2BhyX64edwQ8DHz\n/hjB754leCRO/GObCU7XMSdmqb3lRpSJBLl71qO9chXZH0IsJnFrHa97C15LRu4ztmqz5XYg5pdp\n3LWL5b0yoW+fQfVHQBKU+tw4zs4gWqJIoQDJBwYJLDRw1XyIzlYaLV6yt/XiSzSwqjWE22X7qbW1\no+gCZAVlMoGZz7P4yS0YXa0okob6zFms5VUckRjzb5GphiUkQyDVbY7Rym6Jj970ImczXZQqTr69\n66v82ZX7qQmV/eFZNElnuRng6zP7eaj3RYJqls3qCg8n9hN0VTk/24046aeU8CE3Bd5FCxC0nm6g\n1ExQFFwvXUG+PIcUi7C4lOP4Pz7J8cdGueO9B99wcbk8u3r4L+77Lxz9/kssr1TxLFaQHA6ag20Y\nLpnFO934Z6ERFoTGTdwpnWK3QqXbQMtJOEoW9RC0nTQJnUhS7vchNyC3XtC9J4Ex6seVbrC2xYl/\nsUluSKXSJvAm7UInNFZBZAs0e6JYskAeHUcdS1B8115cCwWsK1OIDYN28doaob6zD/8/nbAfCAtJ\natt7kaeXKLx5COdMBnNuEaWrEyEryE1Yee9GfHM19E19yKoTMxbAe3UNDBPX5Br1DV027/6Gdai5\nBnKxRmhJQ1e8aFlBIKdSGvLT8Q9jSF4f8Vs9rLynneK+HoIvxLHSWfJv20rkB+dgywjhywbSy+cw\nC0XklihWuUJtIILrfBxp63rQVGptLnzfP4HVaCCG+4icLFDpC6ClKkheH8l3DRCYqhKYblJt0cjs\nMNA1iZbRKmpWJbNDJ1Nzc3W+k972DA6/wb2h83y2a4z/OH0TJYdGA4UbnQX+y+RuvM4GRcvNOv8q\nU1aQ8eeHcWRkGiELS4HocYXouRKz71TxLUik7+lDmGDKMsEXF1mdzXPiqfMcv7zMHbdtINIResPF\n5RP/8KwNc0suI/n9GJO2v6s8u4L1zzlbqnq9iX7Nx1cyQbhdSNEw1uQ8wuHALFxr4rwezHQGqacT\n6eRlZLcbI+RBmlvCeW4RqyuGulSgMhLFm9TtAtNGcOJbNHHNK8hVhUabjuIwKZVd5C9E0B2Cvo41\n3t0+ytH0AMPtK1wtt9NApnA5wu2bL9EXzOCWm7REi0yttHJ37xherU6rs8jB2BTTlRhyW435hRii\nJlNqaGAKGrpCvuHkbVvOcT7fhVAshiJrTGRbcKtN6oZCvubktqEJet0ZZsoxnlzZQrc3x37fFGnD\ny2fPH+IvB45wtRlmh2uOfc5lPn3h7TidTaqmg9RqAJ+vSrrqwe+pkVsK0PGsBIZMeKyGEAL/bING\nQMbz/BhWewxnpgEBH8LEjulSGbmtFWp1O78vLGOO9CAskCo19KUkkizD5D+DOno8yC0xzGIRyeFA\nioSRutoxrm2trYYtZiOqdTB0+/pIGGPLIGLRbigO/d4hIi3+Nxxzz/7BN/G/vIgY6cdcXLIbkXTW\nziWJVeT1g7bPdXwFK5ND9vsRQlwX1mnevhOlalxvzDAMrGaTytv34Ht1Fv3G9bifvoBZKlF5xx6U\ni/M0NnehXYxjLadobOymtqmdYq+D+F0q5okA2Y0CqSHo+tNTrCzeQOuXLhAsRPnIV37Kpa9so++B\nWRbzQWp1lcGuFS72b8N0CC4+vAnHgSKfbp/ks5cP0H9TnJlEjKZD4YX8EKYDCqrKVzZ/iyNf38TU\nB8KcuTyEd9LBJ296noeNHcgOkyQhvt57hBcqHXz/z19h3Q8/yQWfk9m1KF9e2IaccmD6TOSSzOXf\n+zvuHb8X9zc9PPuZv8HvyvHu//vDXHrgqwA8nG/jzw7+jL9MHOJwx9PsOfYR/uuJ/ag5GVobFG5J\nY/V1YqoS3d9bwf9okeCrEv4XZ0m8O0LrCZPy5xq4n/ZQbpMJn81AbztStmjHz1yS6T/eRPR00fYn\nL5WQWqJIXi9WrYbs82JeQ7S8xjVWuruQfF67EI3FWLq/l2BKQpwao3pgHcpkEv3gFrRUldL+PtSx\nBHIoxKHfuPGND27ytcOPf+nnWI3G9aLWLBTsRiqdvX6dlc7acO2uDkS1/vrQsF63kTbVKlpN2Fup\nXB6lv9ceHDtUzFzOph8tLiGm47ZH8/pu3PMFMExKAz6iLyxSHgxSiwjUgm2lIwxB8BcqjlmN3GYD\nS7KRKK5ADcsSlCZDtPRkKdY1MnUPnRtWWat4uHvzZTq70iyVA2Tmw9QUiToyZl0BCds6q6HhfdmF\nsqPAZ257hFKrQuumFHOyFwuBOlCm1nCQrbrZMzJLd88ab+24yIeiR3mhvo4/Wfc049U27o1coGyp\nbHHGmai387X+V6hbTZ4o9vPRxx4gpTnZFlpkvBllsR5mvNjGI9M3MLnWQl80gylBbj6I4THxjznQ\nnYLIOQm5bhG+WkduSnhnS1gOBSEkqr0BnCcncZydQRrux1hI2DlAlijeMozj8gLyUD+yy43k9yFU\nFdHVjjE1i9zagpnNIQ/1X88PQlZQerugVsfSdcxSGaWvB2p1zHgSq3ZNnVvTsJpNDn341jcec0vZ\nw0/843N2Ti1VsG4YQXZ57Pe0nAbLsjfRCXsQpfT1YK5lsHauR66biItTWLUa1soaVjpzPR+bpTJy\nOIRcaqC3BXGkSrhfnkCL51BPTiPrIIZ7Sd4SIHqpjumQMJwyoVcXSd8YJjhtC4U1QhaNkIXcEDiK\ngvqeEmZawx8t0xPJ8tO1bfT7M2RNJ8EbssTzQT6061W2Dizwlb4XecEdYyXnZ2RdgrXlIKK7QjBU\n5saWBXraMlyptmIiuHlkkoWr7Sg1gd7doHq3yYMbX+SV+DBfftfDPNB9hkcXbmAgnMaUJE4s9nGg\nawZJQKeaoVUrsdM7R1MofKn3KQqWwJQlnil18PHQSVSpSsly0qnlOJJdz9hMJ88+s5fzchRTCBqt\nBuQdtPZlKBVcxM5Ay6kqAgm5YVHsc+PMG5S6VNypJrIOUrmGrNo+9q5TC1h7t2KNTdpiqi7n65Z3\noRDWaxx3nw8hSSgNC2k2adMvJXE9tuRohPKOHpSXXtfiwbAh43Isyj3v3P2vxtyvtYkWQgwdPnw4\n87+88A2e1UL58JP/6fvIa0VKuzpxPXYSY6QTpWKgJgvobQEMtwMt26DaopLebE/RImMGlpCottji\nJHpEJ3ZCptxj4Z5zoOUsqjGBf0Uis8mFJwm6S+Cfr5O+uZNin4RrzULTHbba3t0DuM/EbWhzqYEc\ni2L1dWDOLeJQnJhj1xQI0wWMbA5V0lCXC5iZLGLnJszpBWgaMJcgkvKy9pZh3GfjuJwtKIZA1pxI\np6+y+qn9RB4+hjzYh3X+CtL2jcg1A6uvA7G4bMPHU2lbUfXls4j5ZSS3G6stQuQro8iRMNbkHCRW\nUcfsxttKZxDd7XgX6+gtAZzzGVAUpJfP4T4dx8wXkMMhqutayN3Wh2e5QbXdhaPYRBISxdvW0/LI\nBCIYpOmTWX1rD6HLBarrWxh6xwzFU1HKI3WUG4qkAy5863LMVKK8uOWH9EZn+b1z7+YLm3/Ms2sb\nuZDppILGjwaf4yvLG/nS+VtYc3v5/Nm7qJ0Lk00GcLRX8Z902IOQoEXPP05Q2hIlfDJFrdNDw69Q\n3dSKpyghmjrm1SlbWMmy7Mll2788RfpVz1q+evip7xyztz75Iua6bmr9IRuCLMsoNYlSt4QnYWG4\nBOltMrHzBqaiUD9QRE5qGE5BYRBW73QRO22R3iqBBOmil0ZQUG53EBlrUm5z4F/Uyd9ZRaw5UaoW\n9ZCKQ3ahHBvDla6jbx+mvrWHQr+MpGgoY4v2hmpyBpZTKNMryIN9mJfGWfvATrw/GgVJxhjuQPL7\nUFQ3hZ3taAUD0dTxvDzN2qFh3I+dor5zADVZwJiZswubeh1pNmkPfUyBdXEcff8mmgEV/z+dwHty\n0S7MfG6ksTkUQ5C838e63xnFEerElaphVapol+KU79tpJ7NCHdntgZ52jIkZVj+4nchXbH9y4+oU\nqw+sI3yxgDHchRwOI+XLNNuDrOzW0KQA+UGN1i8fg2SK5XcN0XKmRuXmOk1dwUIle2eNgZ4U+YoL\nf7jCsblBbuyY48fLO6mpJU6m+8gabqYrLSSERdBTJ1P3cGZ0iM0Di1y6NECzu44zYWPrlKqg4/kM\n1S4voasWDb9McLKG+yen0ILtOLNNjJ4YUiqLOZ/g3t9/K9Go74096JO5w888M25DFL1emkPtiIVr\nm8v/gYZjNZso3V2YhQJWxe52rVrNvn/9HUj5MrTHsFJpW+05lwfTfL2QcTjA78Gci4Np4KgaUKli\nRgOUOlRCPzxLbXM74SsVUjdoOEqgOwX1dgO9pBIIl6l5BIO9q0zMtzHWbOOPh55mn3+aZSPEB7qO\nMTKU4JnljUSdZeYqEaqGg/v7z3Eq18eJ2X72tc/y9xdvoi1QZG4pSmtbHle4yoc2HcP0QclSaQsW\nyTbdGJZEh6fAFv8SWcPDLS2TTBVjVBsqfzX0CEWc6ELm1uhVPhVa5MlyJ0JAzF/mbL0NRZj8n+O3\nsz4cp6y42RxOcnG1A2naTclyEIsWSa4G8Y6r9qY5Z2E6ZQxNwntxGcV0QEsIyQDl9ARGTwvKhWmk\n4X6klijm7IK9hS4UsQwT4svIbg/6op1/5WjEhit63Fjl8nWLFatWs/3Aszms1yDdsRiy34doNG0v\n1VodYVl2cTqbuM6j/p896H/lmLtWXALXt8r1e3ejTC7B0ipyLIIAO35ei716HbNUpnr/jTYiyOeB\nKzNYuzch4tc4kpKMc7mEkU4jzSWp37kDZ1Mmuy2A+3Qc7WKchcP7Cby4iDK1hHolQWNjN70/SFIa\n9CPXBPqbC5jqEJ5HTsCz7SQbEY5c3ULrsSJrC62Uhwz6vm4x3uikfd8Skd4ccStEPWDx90tbkSSL\nhiXz1J6/5+Pbj/Fnw5f46uN7iG5I8435vSQ2BRj69Alcf6rwf73lYQYdCl9PbcL79SBXu7z8zeQu\nPj78C9577h1cufPr/NEjh5CKCps2LfLena9ydGmQiff/PQCzyNx472VuctfYrNXYc8Or/F1mO7O6\nxGePH+KC1MHUd9axukGmIlTMl4PIOmT9MqF0G1quyYG/OsmxXb1U79do5iOs3NvGuv86i6PQQPny\nLKo3gneuiulywKlLNpx0qB9ZcxL46VV7+FGvg2naEOf5RaxymdS7t+I+c837O5Nj4fB+fI9dxiwW\nWf73+/GUVLyPnkZoGtkHtuL90Qmk/h4spwqjFzEHO1EX0vaG5teBfphfPfzEPz6H5POBEEgOh+3d\nu2vzLy0pwNY6MVNryN2dNsy7VLKt4dpaMQtFe1CYy9sCfdm8PTQI+LFqNXvIcw29IRQFxeGy7QjX\nMjT7ojTa/QSen8Bb8uK9msahO1GqgsxmgTdhobtkXBtyWA6LelmjVnDi7ipRrmmU5wJI/ibpsgfN\n2cTrbHB+pZN80c2n9z6Hy91kSfdhIGjtyDG0LU5ndxp1S4lM2Q1OmXg5yEIhyEjrKrJiISSLXd0L\nbIolebDtef7q5Xt538hRvpE6SKu7xLlSNzFnmT+KTjPTlGlYDr6f3MWpZoC3+FYQUpqu3jSnUj28\ntLaOqVorqmxwfrkTQ5dRVZ3MxRjWlAfdZ+FZVGiELFwpCVMTVFoltLwtJKbUDSxZQk2VUFdL1Dd0\nIs0msdYyNnQ2X0DfsQ6lrCOv5pAkGVSHne96OhH1BnIggBFfsm9koXjdfULp7kCfW7iex4Sm2UiD\na8JwQtOQQ0FEawzR0Ln3gze/8Zhbzh9+4h+eRQoH7Z8VX0HWNCSvB8nvw1rXg6Q5rw9x7OelgeJw\nIjQVM5v7pdezmk07viQZM5+3HTBmFhENHaup20PQgV5wORFNA7XuoNij4ZspUhh04qo4SO100Pnj\nRao9AaqdJv0/0TEctphcU9fQIzqbupKMJdvoD2c4Od1Hf0uaxXSItmCRF+fWcSnbwQ9yw/xW1zEm\niDHgy+DwNUkthagZCm/umuBKsY1YV47KiQhfvf2bPCbWkfXJON0NOgMF1vlW+c72I9z+9Ef44sYz\nbGy5xOVqF361xlt7LvBQyxj/+/RN1CSVA75JInKJt/kWearSScXSWK8l+cLEnZxqdnOm3Mdovp9+\n9xqPTm9H0Qy8QwUcDgPP8x5EXcGVksiaLsKXBI6qhanJFLsUvEtN/CcWkRSNaquK59FRrLUMjR2D\nOFYL0N9F8eZBXEcnEJpGY9cQSukaWisUgGYTq1q1ofqyBP2dWMlVzFLJFuMc6Udxue18EQqhZqq2\nXVlfz/XPGdks1roe7j209f+dJloI0f3QQw995KGHHrrzoYceugX41OHDh7/5b37BX/FkF9KHn/rF\nDGYiSXNjF/Ut3fgniyhrRdL723A9fgpjqJP0FhfVmIRSga5vjaPldNK/byBPuFDzAhOJ4pBJz1O2\nfHpmTxN3QqbpV2kEBPk9dQxLxpVRcK01CV0qUYtqOI9cQna6EaqG6vKjLOdIvG8I33QF88ok1v5t\nSDUdUa4gDfZBaxhrZQ2BwFhZJfvBfTifPIN50w0osoqVseHi7rNx1j62j8Bz49Q2diDO2X6c/rxq\nbwJqDaRgEFGuYk3OIRaWWf3UftyPn7O3d6cvX4e8lO/bgeuVcaThfpo9MXsqs7KGtH0jxlAna/f2\n4z+/ysqbWvH85BTGhl44cRHJ46Fxy1bkmSSiux1LVfA8Ooox1In75Azm3CLmuh4kUyCrTkCg5hpI\nOFA0L9UWlbkOJ7UWk3CkhEMxcUVqfHz4ZQ7FLvD9/HrWdB/fHznC55L76XTn+ETXizya3M6u0Dlu\niU0wqvfyptgkp68OccPBSbLnolhpjXI3+BZsaxwrGiQwU8d0q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Ia9Xbymfm0WirhSDaxK\nhdxv7SM9V+HYFx/h+E9OcMcn7iISe2N5bnl29fBDf/IIR7/6NPFJu/B9LaYkt/uXmmh50wjW6uti\naWapjBwK2EJ7pRKiNYYRcMHMIrLPh4iGMVZTNvXl2pZQcruRZAWrVEZqb8W6cBUpW0KWVIygy16i\n+GSEAO9Sg2pMIXq2gKWqWEKiHrYInlMQ2HBvUxJMT3QiF2UqTonkUpgP7DhOyuek1NTIrviZm2sj\n5XSRK7jZPzSLw2mwwbfMSsPPHZExfnR5J4Mta0zmYvynDT/lubWNXLSiWEIiaWqE1Qqz5Qhf3Pp9\n3nn6I9zddolnljbwsc6TvO3nD+JurzFea6dkaMwVI5zK9fHMlc0gWaxm/eTqTko5N0Izcc5rSHUJ\n16qEoyhwFCWC0wbhs2lq7W7kBjizBmq6guXSUC7NUtnZg3R6HKtaRenuorA1ivLqZSzTAsu0PZcb\nTcxyBatSQd40gqw4MONLYJrIrS22bdS1wS2ZHGLzOlszAZsHLXm9Nje5WEJyO5E0FX3vJuSXzrIU\nzzN6Ks7R7xzhjvfd9MbpeTOrh//jWz7H8Z+fJj6R/KWvycMDSKaJWNd/fZmgdHViXZ68fo2Vzl5H\nelgra7iyuu2SsbyK0tOJWM3YXPDp2eu5zkpn7eHWXNxGKO3fBpKEYzqJJGSsVBrfq4sEKj4Mt0qp\nRyDr0PtYlow7jDNnUR7U8T/ipXpTGVMICqbGTKKVakPl5vWTHI33I0kW30qPUFI1LhXbaG/LsSz5\nGHav8pX+l/hFrZWVio+FZpTHn99NrCuHicSxWphXc0NEtTI5041L0UEIIo4yIPjb2TezJzzH507e\nSzBS48n0FlqdBZoofMC/xs0X347ugMJigP7OFGVTRf5mlJF3THL+Sh+OrELDkJHmXQTP2gsmU7KH\nVM6CidTEFvQ7n0QoCqJUQ67pOCoWyngcsZSyEXftbegrq1i1OlJvF8b8IurlaznwtRxmmEg9nViZ\n/wExcA1ZoF6OY1WqyIN9UK7a/PvFFbBM0HUkh4OF45c5/vPTHP/5ae742J3/aj33rztI/2rngmVZ\nf2NZ1jcsy/oG8Cf/y+/4dRxJoHdH0Wfm0BNLGOkM5sVxvJeWkV45h2g0qXb5qLQ4cJQtSh0OglMG\nnhUDLSvwz5jkhiUcZVg8345StotwUwalCul9TVwZk0pMQp/24l3WcaZsYTZLEliaA92noWuC5XcM\nktoTQk8uE3x+EmN8ikZAwTw3RssrKYzxKaSXz2KNTSNHwijdXThPTeGfqyF2bsIYm8DUFKr334jY\nuYmmT8Hx7Gksw6DpFpiDneQ2BrCaDazRixi5PNboRSpbu5j9/D6kl89e/7O8JsHvmkmT3qSRf99e\nlv5wP/7vHif90X2YxSLhrx27/oAyfU50r2r/SbdvxBroov/biev/3O3HazS7IgjTQjR0PMsmnqU6\nvgWLiQ96qLYIEm+SqEUsrLSGZ8nEcIHcsMiNgBx3cvuB8zw9voGB9jXmChF+O3CFqUoLIUeFv1y+\nleeXRzjgmuaBnrNsiKxS7W3SH01zdGYQq7WOnFOo1h3oER3/JRVv0sBQQRgGtahq81OOnsfyuBBN\nncpw1FZRVFVb0XNk6NcTc5aFNJdEqCqBZ68idm0mMF5AaW/DO10gdiyLtX8blVZB0yPo+1EGLWcR\nudxEKYNvSiazEQa6U2Q3m3gTFo6SxPzdGgD7771AYQDqIYvWUya6x0SpQuLNEvWAoNTrwfvDE+gu\nierdOwieXMJSJYy1NOrlRVpfWKbjC0cxvCruR07QuGuX7a85PID38hrpj+zDdKskD/qo3XcjiVsE\nxXfvfb2Y3zRi/55tMQCaETdyzcJYWSW9pwWAyuYOFt5l2v6wr/FxJYnwV4+hJ5ZoegTS5vUYqZQt\neAYoJYF5cDuioWOeG8N0O2yhLE0jv85C96nETqTRnYLh376IM21vT4xCAbFzE5LfB4B7uYFckun9\noYRUsa/BBFQT16pAaanyu//uJ9yyewxJWDyw/ySf6f0ZrcEid3nG+IPpd7IluMQnFu7m9zufYbTU\nz6GOi7jVJi1qEceKg4eXbqJHy+Dw1WmGTHTd5rIrVWg7USffL5F//17qh3ZjOlWsng5oi5H7rX12\niNTr+EcTVN6+B5q/7JH7bzrXIL5yNGJ774aC1+04jFQKI5vFzGRt9VOuWYakMvb9qdXANDDLZcxL\nV+1mWdex1jI024K2Eqr8evo3Esvo63tsyGe9jqg3sHQdfW4B0+vGWlwCRUZYFum7BqmHHFiywHQ5\nCF1tgmQ3ntFzguKgiWdWwXBaNGI6GAJidepFDb1h85r1pJsXEsOsVH08WdyKS2rwzMoGPtz1Cl9Y\nupu/nb2Vb6f2cU/0EoYlONg9Q58vg4xFvz/DLYOTvJDfwPmVDmRh8aXk7ZgI/u7Em1nnX2VyJcbC\nUoQfLOzg2SsbeG5qhN87+BwRf5l6zklxNIZHa7A2E0Yp2xZzra9KyDULSQf/jIVSrFO6azPlFhlX\nqonhVpHXCoha0278CgW8syWkQgUpX0ZeN2hvo53q/8Pbe4ZJepVn/r/zhsqpq6tz7pnpyTloZjRC\nQggFhAgyBiwwXps1lxM4YJt1WK/stY3XLLYJXgx4SQYZMEkgFFBGaHLO0z2dpmN1V1VXTm84/w+n\nu2bG2FzeHfZ/rqs/VHe9b3Wd9znnPOF+7luRiJkGMl9EeEywFYzUrVbV80QFCtI0VO9mtdrQURVz\nC6pPta+nQf4k25ox+nsUlFvXca+MKmjryl5euaFadyvDY6IXa1gdMQWvRfU4B584hZNcYPb39lO4\nYxD7dTuVfVWr6OvXXL8+lcE3X8b4kapuildP32zSQ6t+7COdC1cwL0+R+cV9tHzqENY9O4ldrRP8\n5hEl6/j8CWQyhW8mr5LRB7ZBrYbQXFZ92eX4J7fjT0oiky4b/stZwtckbskg+mwA02tTGY7R+9A4\n5aqH7KBOs69EyFfjRz/chPuZOkN3jjN3FzxTWs33vrWfB+5/J788dTt/nlrHxQNf4Bf+4nf4xz97\nC6ZweGzgRVZ99Vf4o7l7eNPp9/LUc7v40C98nRc3Pg7Ansd/hyujnRizXiKPzPCh5hFeya1l4TZw\nvRJj1kO5y+XlF7eQWx/mxT+4nY7ndFr/wmRht4bjl0SOTSv290IBvSzo+mFZsflJibZpHQD+x49S\necsegs9euL53g4JAu9dtDU1HGAba1WkyuxIA1MPX170IBhRiwraRt29Tf79/N3K5v92enmkQVQrD\nIPHceENWE4Bq/f/Uwv7tkclhdHehr7t+Xq/ICmk+n3odi+JcuKKSN+vXKPbnSETtZV7lxzjDo0hd\nQ/P7kQNdqkKv6dcroEOrcAsFpQXb03FdVWWwl2pvDHO+gP/EONGxCkbFRVguRlVS7g7i6opYMDyu\nUewDoySptjq0r1/AarJxPRIpBXhcvnttEyFPjen5JuIdOWTAQRMSmfESMysUal7uC5/jkdbDfOTk\nvTx623cxhUNPc5ZTlX4Gm9McnellT3CMvzn3Ou4OXeTtbcd576n30Bwqc7t/AikFv3DlXezadpWA\nVud7E5vIWEFm5poofr9d2Um4hma6mGdDaB4HkTERNtSbHSrtLrFRB72mCFCl10S4Em/GQq+6WB0x\n3POX0WJRQueTKqEHyEpFSTU1xxWBZVurgm7PKclFYRg4F67gpDINOTuZy1Pe1b9slzVlmzcQj7r5\nAvZ8UrUkhII46QxOLo+5pPY1rSmG0xZTb9ZuiZh7+R5qDejNcYXmQvED6G2tOCNjSv4xfb1C7sbC\nN1++bJM3jsqaVvS2FtA0REhV6cX2jehNTWovB4Suoa9djebzUer2IzUBQlDpDlO9azPpn99Ndm2I\n8EQZs6TsbWFfU0NOE02SXa1RXwgQPuEjMxtFS5m4Cz5euriW/7b5Cda2LLC5eY7n5tbym1tfpFI3\nuZJv43PD+3jr1TdwfrGDFzZ/DU1IvvvOj+LRbfZFR/nO8BaqtsnTixu5L36Bly8PcTLTQ2hZ6znq\nrTJXj7Jj8Bpl14Nft9Bw+cMzb2H3ybezKpqinAxyYOclzi50UK55qL0rw6mDQ4iAjTcl0GoakVFI\nnMhiVCVmUWCWXMotOprlolkSWa1RS/iRhSL2xDWE7YJ0cctllawB1dpaq8ENydiVoceiaMEAolTB\nGOy/LmGGSsohBHqiWe0vV8dxSyX1e4DdmwCUCkAggNHepuyjbv27pnRLEldCiIeBrcDo8q8eklL+\n7P/1Df+DY/j8tHz/I5/GDXng8Fm0Letwz17GvXM7uGCeG0P4/SzcP0BozibXb+DPSIQjsQIaqR2S\n8JhGrRkGvp4ivauZpXVgR1xEXeAGXPyJMh2f8pLc5cUoQ8upMlOvD9B+2CKzwcQ1oe/rs5TXJBAS\nfJNZRn6xhYHvVai0eklv1On5cyXXkX9wM7ol8X9HaZHpG4aQmoYT9mKOz2PPJxsSVKA0RO2ZWeTt\n23BNDeFIjHwVHIl7/vLNckV+H7KjlVpnCFyJJ11FnrpA/f7d+McylFfFWdhh0vMXB5XGZziMM7+A\n2LgaRiYZ/a9bWP2RK1R2r8K7WEaaOunNQVpfTSuSjZiOP23jydYxRlXGbvK9q6k1SZouQTUhCE27\npN9Uxk75CXYVWJtY4PTR1fz8PT/k2FIfc4Uw65sXGF5qoTuc5U96nuALmdtZqIaJeSpMl2PYrsYD\nrRf4+JnXIib9tO+YZ/Z8G8IS+NKCWlyy6ms5rJiParNJ6FoZfS7D0oEeYs+PknvtKoLTFdW7V6vh\n5PNY9+5Crzl86u9/gaENXbcmiXBiTP767g+p5ze0CnltBrdaRezahD6/BFIq6QbTg3XHZjLrvNRj\n0Pt9pUVuZtUB5M0ISr0OelnDbrJZ9VWHzDovwgHhQi0uqMbVmvTkBLVml8RpSN7u0vYjjfygRnBa\nEkg5hE5OM/GefvoeT5HbFCd6JkVhYzOB2QquVyff56P58AJWaxhzsUhpTRyzZKO/eBJtyzoq3WG8\nTx4j/d59tD09Sf62HsKvjuMkFyi/9TYihydxultwAgZ62UYeOweA89odWCGD4FhOOTUskwmVbLRj\nSrYi+85d1EOCln84pLKv6/qRx85hDPSR29GuJLCOLlLpj+FNV8muDRGctzDzdcSFUbJv3kJkvEyt\nyUuxy0CzVHLGNQSLr6tjeG2snBcjp9O8eRHL0chmg4TCVRKhEqbmkK36+dLGL/JkcSP/NLaHB3ou\ncXKph4SvyI7INXQkn7p0B0MtiyTLIQovtWFUQGpQjyj5O99ckcXbmtBr0HQuj1aqMndPG+EZm9Dw\nEs6lkQbiAWhouf/9+Y8xtKHz1mzu3JT89a2/03i90qOjBVXf1oochxYIoDXFsGdUdcno7lJOIqis\n7fL7jK7O61qwoBzQfP66hExLC3KlqqjrCNNQfb3l8k1a9pU370GzJcHTM0y/vZ/WY2WMQo3xh5vw\nLqn506vqeeWGQOqSDbsmuDTTTnOsSDIZRRQNvO1lqot+tIhFV0sWU3do8RepOzrdgSwnUz30hpdI\nV4Nsis1SdLy0eIq0mXm+n9xErubjwa4LlB0PY+UEU4UYfeEl5soRZo908shDL/ONsW1IKWgJF5k+\n2YkddfDPGFghSWBOoT3QwL/oEpqpkxvwEpy3kbqqPAvLQZo6+sg0IhLGiYeQJy405g9NIB0X4TFx\n1nRjLORxF9MNLgG9pQVZLiN6O3EuLVcyVuTJ2loRQiDDQdVDvaKTq+mqGtjTTXljB4ELc2p/mZ1H\nDwXVGlwhhkooSSytKcbHnvggQ9v7fypyQ2LnRnJD4evJsL4epc+baMZe24N49bQivJtfuIkFtfCO\nvYS/drjxekVCsfS224icTSlJplgUe30/lXYfgW8fuenzr355O2v+ts7irgiJTx/C6Ghn/L2DREdd\nQtM1Zu700/PnBxtyWOzdQmZDkNanxqmt7STf58X2Q/RnZpm80k70sk78LdPMP99N24k64+8AUdUJ\nD+sMPDzK1FcGyQ/C373t8/zhJ3+Jaovk9fee5OmR9XguBaiuqoEm+dYdn+Lth9+Hk/Sz+rcO83OX\nZ/nvTz/MU2/9KG/7+O/h7M+xs3MKXUiOfXszUocXf/Uj3PvXv4cdhMi4S9OPrnHxzzrxzpjErkhq\nTRrVBMT3zhP52UXc9f2kt4Zo/qySn7RfpxIIxmA/9tgEuXftJfqVw0pjvG4x+841dH1frXl3MU3t\ntiHM5040tLpvHHpbK9XNPQoNdPgsyQ/sp/O5FM7FYdK/vK/xmdqWdYiZBZx0piGddaP84QoRU3Vd\nB76rC3zs27/J0La+W5Yb+vVdv9/4HPfO7Wgvn7rJflZ0oVf2IeH1qjaJel0lzCtVpFVXaLxsTv29\nKYY9PXPzNbGoYpJevp72FqWeEvApyO61WUXE6PNgJUKY6RKFtU0YFZdSu5INq8YFLWdq5Hs9VBOC\ncodL7Iogs13tLdWEiww4mCkDq72OJ2AR8NUxDYdswY/H4/CanlGOJXvJFfy8Z+MRPnd6P52tWWYm\nEvQNLjBzqgMn4LJj2ygeTSVFDl1Yzbv2HOax03v4mS0neWpiA5al84HNL/Lp4QNIKbi/7xLfu7oJ\nLoVxh0owEcCK20QumhhVieMRRKZsSq06ZlkSnLPQag61hAdPzsbI1tCKFZymIK7XwLysODKcNd1w\n9AJ6U1RJQS2kGv3KslZTMOz1g7jnrtzE16GvGQTTaEhqAgrN4/EorpVlGSmjpxt7arpxP1ABrggE\nsKemGzbsJBd+otzQf9jmlvc5o6Mda6ANczyJk8qAJhR6aEVmUAh1biYX1RrYsxnt7Ahacxx7ZrZx\nJq+Mfy2L9W8NLRhULPQ+D5XVCVxDUG7RaX1xhtL6NnyLFeZuj9B+pIhraCxuDxCadXBNQXCuRrnV\nQ2qrhl4VCEfJpXn7C1RmQxgtFfSLIbxLsO6dlzk718kDAxf59qHdrFo/i9+wODfWhem3sNN+9KYa\n79vyCj9IbmDhiR72/twp3pN4lT8bfxOfWP01/sfcfSzWQoSMGodHB+hozeK4GoPRNP2BNAcXB5k9\n0YHjlZgFDb0KffdOcGmsk7YXDJKvUUz1gTETzYLgnEstqtH+wwxzd8cxi5LwtIUUIByJ69XQqy7G\n89dRUCt+SiPuCQZxK6pIoK9djdUeRnv5VMOPEYaB3LUBDp9tyAr/63vd+JxW9pZ/bxgd7Xzs8d/6\nfyNx9ad/+qf/AGQAP9AErPv/oye64jiP9jd52Lu9Fy0W4dqzx9TBcm6E4v5+/MkalfUdBBYtfGOL\naN4AvlQdITSkDq6hYwfAl4HM1gDldohfklRaBaFpjXoY5IKX8n1l7IIH1ydIb9HxpQWVhE7ibI34\nmQJL2xPYfg1P0WFxT5Sul8ss7AxSj2h0vFqieGAArxbAf2Yac2Se+l1b0Fpb0OfSOGOTWBt7MAsW\nufvWEbiyqGCzVcWIrSfi1LqiWBED70vn0A0TGfCi2a7SQ5tbpHrPNtWIPzzG0t29RMbLaIUK5TvW\n4F+oIi9dxSN85NYH8Uba0c6NkX1wA8GchGQa+juJTAusnmakLjCzVeywl1rMQHcNSh0m3oJLZoNB\nJeHB6wYQAT/QV6TIAAAgAElEQVS1Jg96XeB7aIFyiyQ/KPFcDNK8dZHsaJyCVyfUWlYs0prLfCFK\na7DIw52n+OvOM3xqaSsBzWLJUg6hi6DqmCw5Qa6NtdG3dZbpxTjBthL1JR+1bgvPkoE3p5Pe6KX5\nfIlST4D8uhjRrxxGb02gYyIOnsHatx7D0bht/yDveMsu9h9YR89g6y1LXFWkfHTV7rXse+s+qFQZ\ni0XwuAbupavguLi9HRRfs4rytk7CB8ep98UJzrlk1/lpPg+xqw6gUeqG9iPgS4PtNSj0GdgBQaUV\nqq2SWruN65W0HBfUYwK9JhA2BOY0dAvqYUHzxTrpjR78ZS9SM8ivCZA4tMjc69uIfekwhg3CMPEt\n2YrJMFOEzBJWXwL/VJ769gG0g2fxVVVvjN/ysXBXG9EvH8bZNYTs7SC1xUNktEpqT5zA48cxPD4K\n96zDHezC84PjGMMzjP/WEH5vB8bVWbyWjjBNRn53gPhT1/CdnUYOdOEdTaEZBtWhNvTRWTIPbcD2\nC5q+eAjR1Ypx+iq0NOF95qSSHYjHmX3bAI5PUIuZaC4s7gZvVqBZ4E87ZNcI9g2NkT7aRnhnmvRS\niJ7mLPFwmb1tExwcXk1TtMwPN3+H7xR72e8f5efaT9Ji5nh8biuXpzuQAYGmwZnhfjb3zNATzHKh\n1oJ/VseXcSn2QblDx5dTzkf0Yg559hIyvUTodBI91oQ8pZJeKxCivW/cydsf3sXu33iAvkSISPwW\nicWmUopwJxDA2b8JLo83embdYhG9pQUsW0E347FGb5mbLzRIxlZkO0AxPLNlCL1ioQUDOFnV20Wu\ngBaN4KTS6O1tVHcMol2ZRIsqcg69u1M5qvk8eqIZ4/w1ZFcrTlOI8LUartdAmjpSV3KBgXkbx69T\naRUIV2CUBHPZKGLJpCA96GkPbtDBLppoEYt7hi5jozMUWeDwTD9Fy8uZS/0UM0FiiSKXL/RwYHCE\nfzm8h972DF86sp8Hh85RdHz8YHQ9Zd2DT7cp1H1cnuogNxMlui7DpaV28gsh3Dk/1pkI1Q4HdKmy\n/wismEQ4Sgs1PGuT7/EQXHTwz5ZxQibVhIfAhTkKmxKYmh/30ih6zVKkXn4/orcToWmIYIDqpm6M\nkoV7YVhJ6rS2qGfU3orw+xDFspIos231A+jxJuzZOcgXFHzNMNB7unDX9mAIcxlW5kVYDs7ENdUH\n5jFxslmMgT51nlkWsl7H2rmaN9635ZYJFFeIxUq3DxIZKcIy3FKLRZGlMqV7NmI+ewJt2wbymxJ4\nvGH0pibIFtCbohhmADGVpH7fLry2jvQqPg/PxRlkeklVkYcn0ebTmBenMPp6EF3tqkUhFsVTb8N3\n5hqBokl19wDaiSvEDiUJzJap9ceJf04F3ZFygKX7h/A9eQJ3VReaN8DM3X66vj+Pr6RTnIrT81Se\n5CM2hbPNeHZkSQ56ePO20wyPdRGagnFfGHt9BVnw8NTVbQzcNUkpLAh4LV7Z/m0+eXI3rz9wlolc\nnMcu7kMWTXydJb770W/z+yMP8cFdT/G+o+/G7rRAwF+v/SYf/8ab8e7JUAho/Paqk3z22F42v+US\n1rdCjLy3maEvVIg/M4GIRmk6tkB6d4hCNkh1TTvhb5wg+fYemp6bZux/7KPlSAEtEiF9ezuhBRvP\nwcu4d2xHnh/B3rOO8NeP4i5lWXzbekJ5A2N0VkGfZ5eDxGWCLgBZKuEpOcgrqvoXOjLVgJkGTk43\nmKxTb1pD4PgU1fu2ox1USVPNY6pEXV83zvAobqGAxzWwJ6d48D+/7tZVCOayjz75mWcbFXRjqYze\nqtpL3ExGIS6W4diypth2hRCKu0HXcJayyqFedrJxXUX0lC+ogKW5CbdQQg8FcNIZ7Lt3ol2dQo83\nKcRNqYJAKGJMnw9SCoqL14N75hJeXxQzXcZwdGy/roLQDpN6ROD4QLMF/kVwdB2zDLV2NefCFghL\nx9NUxbINeKmJh+85wpUnh5B9NbY2zzBVjnF8to9QqIquKTmie7quIFpslvDg99qsjSxwf9N5nhnf\nzGgtjudskLt2nOPgzCrcpJ8LbiulkSZ6+lP86OIQ2rQPqQM5E7uzhhm08I+YCAmOTxC/UKIe8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gKhZL22JExipoFRt9LoXb3ox7+iKVN+8h+MIlhMdU87kMkQeuO+LLSbUfm8cb23O6u3CW+/2A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ofImVl83zou8S4phe3XqP5zD4WjNlM9kK3MkimCym97sGsyPH76F3AMWK7XcP6yEk1TbG0f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\nq618oQygZbdbJESWl7F2rsNqb4BDp1AqKtCG51BqqgWXkNdzAZDNz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mvYzv1/8QD3dfYK\ncpeFBca+1odrTkJ3Co3z3K3bcT58kKm7+yl05Om68yhqfV05mGzanSSyy1+WOBr+79vp/vBB9Ku3\nXHrG/9Ga/tVamt54qvz9Cx/qK7O8Lv+hA/8XnYx8XKPzXcdAVoh9YDuWDPaEhe9nouoz+zf9NPyz\nOM8tu1YmbDq/Enf2kWqRaP2PEcb+qhNtXZLQOwUBXfrNO/GOpAQL/ppuMh0BHI8cZPa3a2i4/cwl\n36NUV0PAS6G5AvWZI6hNoUuYxo2rNmM/O0PyslZ8e4YFKNN11h+VOLH50jht7Kt9dN0/egkJlLlr\n0yUs8ee/39y1CS0idF/ltT2YpwZxv1BN8p5mpq+10XHvCUrbVjG/2YFv0sDz6EA56D2/bvrAa7n5\n46+ntiNO9FxFOW7yhaqoq/O/OpubS1jJeEaQrWVymH43cjLDo88P8ctDZ/GOpQUL9ootWH0byqRM\nF6/z97v4/j7840Xss8uX7Kk/XkptDZLTUd5XF6/867b/yWSo7HDAqjYh12O3i5EUy0Ktq71Qqa2v\nEefE9nUo6YJI9rndl8SpyqpO9CoP8sEzYJmUXrOhbOept+xELZiiM+/y9diOj5fJIWWvF0mRob4G\nIrEyKZTkdAqgtKoTy2nD0hQMh4r84jHkjWuwNAWOnSV78+YysJY3rEb32lEPD6Jv7UEuGqjRBPr0\nLNaOtYI9fn0PmTYf7sk00uTcKzSwz59fhZu3YX/sEGpTiNSWBpy/Oyiqh6k0dLXAWFgkQy86x+Lv\n7cM3VcQxFkOfDMPWNXDolNCivmozr+8McvMHXlv+rWKHE3lZphLlz3LOLVoGaiwj4ukVHPTYA0/z\nH/VZ2r59ToDKlfZyZVUnxtC5ss+Z/2g/W991nKkdGeLv7SP4/Vf6t9RbdpLoFHwu50lp/2fr/LNc\nfttOAo+eLo/rWH0bKAZsuEZirzibQGAe3WtHdynYY/lyIpvtIvl/fs+LD0vkX7eNTK1C5Xf3ofh8\nWMUiZl4Q9i3d0kvw8SGMpSUin+gn9NCE4AJpa0TKFrAcdhibwsxmmf2bfnwTBv7TSxTqvRQqVPz7\nw5SaqpD2HRecJSsJxD9ealsLFEtYfg+EI+UC2cX/nllTg2s8yfLqCgp+Eet6p4uXyJ2d9+sg9vPI\nJzvovn+MUnsdWiQpGMZXYp+L18S9fbT+nXhnkU/0E3p4Fn1sgps+8Fpu+MytZRlNx2qJTMRF0Gmn\ntqHiT9rc/7YgWpIkJ3AAeNKyrE9f/G9nJiLWp3Z95YII+UUre/sOXL898Ir//8dLqa2hsLaJfKWG\nmjWRdQvb7gvtdeerFtpcgsTWOmzLBvmggm6XMDVwLJmkGxWQoPZglmy9HS1tEt2iEdqTYbnDSeXz\nYXKrapl9jY3gaQs1b2KPl8jW2/EfjWL6XWSaPTgjefK1djK1CnVPzAgx9D0rMwKqglTSsWwapVof\n2mIGojGsxhoMjx1luUA+JDJJtt2HMK/YhFQyie5wU/9SinyNA7lg4jy3QLanFsm00JYF+26810vV\n3ijhW+pQclD3Uhzd70RNFTAHzhD+XD9VJ3Vk3SIVUqk6tixYeyWJfK0LU5OxxwvENrgEqGsCTAie\nsbClTCI7RWbHNwbm7YtU36OR+McCpYerie8o0foLWFxrI7sli+uIC/uShZqzUAsW+YBM8Hv7hPj5\nStXp/GH3x5tT3rAaOZYUm90wyhlZJeCHqiDf/OldrxpEDx8etZLVV/P5NlHxGPtqHzVHTDy/PHAh\nmG9txozMY+bzZG/fgW/fBJbfy7n3VtP22X2UXrsFJW8gvyTabMzLNyK/fBylqgrJ7SSxvQHPRAbd\nY6MQVEl0KtTvy5EK2ckHBTGXljXBArloEdug0fKLGYY+Uk/rY0USnUJnfO4qg6Y/SDgjeZSlLKbH\nTr7OhftUhKWdjeSDEr4JHS1VQk0Ix59v9CCXLOyHR5C8HpFN37oW064SW+ek5nCKQpWTXKWCUoLA\nwVkWrmik6uEzSBUB9Mkw6TduwxETnAHS5jUkVwm7dMZ0tKeOMP/hPuqejyOns+gTUxSv30psnY26\nAzny1TYMTULLmrgml0l3+HFPZ5DPTTP+sV7ccxbORRPfvklGPtZGw4s685s1nCvMj5UnsxhOlbE3\nK6y+P874W2rIN5Wwz2o4F4Q+etWJPGqyQKrTg6xDZKeMOyzR8OQ8sb5q3BGdZJtKcLBA0a/ieXmc\nxRs7qXxsCKOjUWQyr9wsKrgbVpPo9VNxaJ7kphr8zwwj2WwCFHy+n4dvu+VV29zp6aj1qZv+jVKV\ni5JHxf7YIWJ39VHz4AmQZUEYs+J8itdvxfbEfy2vpXS1g6pcAgKVNd0iwFvJRE9+fB1N9woQk3/9\ndjynokIDdEW70/DZKAQ0nA8fFK1/Z8dgQzfS2XGsQoHkm7fi+6kIFiRVRfb7BGmO006hJYjt5dOg\nKJiZDLLbTXFHD5YqoaZKaBNREQQG/FArWDalrWvFnj92FnN7L4ZTFe2Se4TU1MK1LVQ/MU6xux7b\n8Bz6XAR5bQ/pbj+e4SSoMubAGdT2VgGMh85RvGFb+Zwv3LQNeQWUnwdPaqgRYyEmiH5WnK/sFVlz\nSVWxdL3cansx07iSN8jW2wnsnUafmRUtoUeHxWckCf3qzajPXHD+hZu24ZzNwOg0k3+9jtbvnENy\nOTHdzgsBzx+9p4uXddlGpH0nUVZ3wuw8xtIS3zr41T/LOXfL1IM0vfEUT8wOlGWPzv14E021S9iv\nm0Bta7mkathxyMHo9gL+F4MkL78UsGjP1VO6UlQQJc3G7smDtP/qLro+Jnz08Le34TujUTOQo+jV\ncDx2iNlP99Hwz3t5x2CYn/SEkLauxTp8itm/7eerH/wen3ngfUKu0avgmcoiDwwTfaiF6luGRCA6\neI7ZT/fR9L3BckIHBNN+/X0rzMIb1whQkFym9NpN/7fSdFP39NPwQgH7sTGMpSVmftNL4xuETvnI\nDzfT9e6jJN+xk/haiY6fJzCPn+VT505z/xvuYOp1QfxjZpnR93xgDhD+XD/Nj8TL71ypqiR+Qxf+\nB/f/17HMMyG4Jly25dm/7afhn/aWE1l/MTzODy7bTmlVY9nXnH+G/9VS1nQz+rbKMrP+xUvesBrl\nXxPl9zj3qX7y1RZtn93Ht5f/mXZP66u2uY/fcr9g+pcVFj64HTVPOfEW+UQ/od/NlG0u//rtlyT9\n5I1rkOZi5YTCK0DNRSBJqa1BUtVLYkelqhK9O0S2wYHv+ALGyBjSlt4LevfdHUjLaczl1IXYorpa\n2JZpiIRXNI1xRnAfYJhilnMl2Nev3oLjTFjc38q1qK3NWKk0xmIceW0PifUBgs9PXXJd5figpxPT\n40A6OSLAzkq8AbxiL8peUTwpXLYabbmIqcrILx/H2rkeS5XR5lMQXQBVxUpnKPWtQXn2qKgcxpfJ\nd9aUz6nyfXnscPAk8x/px7loEth9tlw1Px+LXZw8BXE+5atsuMIZ5PCCAEy5XLljQm0KYbkcEItj\ntjWUbVNtCjH6gSZa/v6VdmhesYl8pY3vf/b2P8s595Htny3/d+Sv+1leXaL7rkNMfqmv/PvK6i5S\nPUHsSyXRNaDZQJYwtq/h3LsVuj9wBGnjGpRE+pL3cPE6X71+xdq+Dt1ju6BsEWpED88Qf18fwe+t\n/H7Aj5nJYRkGSk8HUjyJmUhi5vMieRKswJyNlEGwmUqhtrVgup1l/yev7UEyDEy3vfyczyc4zGwW\npbaGUncjhUoN+2KJ2AYntd8+jNzVijk6ibm555Kk1dJ7+qj40UEwDRbf30fld/dRvGEbc30a7T+e\nw5qbF6S5K38jqSpSryABVlubsRLJsv0A5a4S67KNWLJ0aSKwvg6zMoCczhJ7TSOBH+0rM3rblvWy\nrabfvBPPQ/vJvmEH7qkM1uFT5cROea0U2eSNazAHRIIz90QbsRfrabp3r9hvL11ogdev2YItmsE8\nNfg/9a3/O7dz3wu8kg4TUGMZ9KYqpu6+SBKis43R+3bifemizMcKQYK5a9MlUgVKdwdWNodt/yC+\noSSORw+KqgSU5bJ0j4a6lMXSVNwzeRZ7NQp+CVvGou6pWfxnEmgpi5IHYuuclFwy2RqVlscSaLNx\nJBOMGj8Lm+14JkFayVXYJhaI7ARrbp75bT58h2dY6nGR9yv4R4vMvi6EM25ihOewVIW56+rI9NaK\nKlKqQLo7gLEYRzLEF8Y3V2A4JGzxPGpbCyW3irT3OHX370WZXcT++GEcR1ba2w+cQ02XhCElMlT8\n+CDWTITawznqn44izS2ipgpIRR12rqf2SBF7vEBku4buklBmYhhuG6lOL45IhsW1KnJBRzIFeVj9\nSzp1Bw2WW4WklXcCDIeFZEDp2SombvUR/JREYpWFlFWQLNHu7hxwUXWyiDuikw7JhK838cyUhK70\n3Dz5Bi+y203+ddtIvXUnxsgYy2/beeE166YIXHvbKPQLaaL867djJJJ/MnP3v7q+eP3byjIUlacs\nnAtiTtDMZinctA19YgprtWjX9u4dR49EsZw22j67j8wbd2CPZLBNCqKD2F19TF3vRG1sYOnaDvSJ\nKWzLBnK2hLaUJ9WkYF+yMOwKtrSJmheM1YkOldldMskODUfMInp1A54pGd2pUPNsBEOTaP2Nhffw\nDJJhMXdtDYnVK+061X5saYP63bPYEkVs4TiSZbG82o8jmsU2n2H5utXkVtcLDd65ONLLA3jmDDLN\nblyDUSpfCOOeyWNG5qn44T6MHuHEjSs24H/yLFoyL+bDdBPfT/eTrZaFXl93B/VPzyMViugTU0Lb\nW5EI7Y6TabTjPbmAZyqHqUkkegMk2xXkRIbM5avI1+t4ZnWSbQrpLc3YEhKJTo2Sz0LLiLEJw6Uy\nv9lO5WGF0TurqTxtoC6p1O0vsdxusry5wPRr7UT7/GTqFRbXKviHIbmxyMJl1RQqJNR0idqXl0i2\n2sGC0qpGKo/EsUK1WIos9CufO4px5WaswTEqBuJYLruQt6qvKc+5hb68909Yz//7pWZMjNND2KaX\ncE0IsFz17X2c++J6zFSKyDt6Yfs6CjduewWAPt8Wdl5j2hgZuwRAS5pNBH2rOqE9hJlK0XTvXsFW\nDLj2nEafmBJdMMeErJ+yXMQ9Ic5JeSEh9EcPn0KuCmLpOu65iyqj61ZhLMaJv6YZY3QCx/gikt9H\n9M71SFt6MTMZHCNRHOFlpH3HsYKiLc1YToMsYfVvIN3ixrQpGDvXok0uoD1/HG0pj9W/gWJbDVWP\nDAngndUpdteLe5mcwfWbA1h2wey6/LadlGr9GEPnULrakYuCvVh2uXAfm0Z7+ghGlR9rbp7sG3YI\n5vOVzLY1E0GtqxUAelMv0ppOCjdvw2qsKQex5hWb0J45ivzSAIG901i+ldb2lwYws1kheWVZ2KIZ\nkX0HZj7Tj/3xQ5x7ux8zk6Xt+5MY0XmRsLCs8rtj53pR4VLl8jWn3rITtSmEnC+JoCqZLleH9K5X\nL+UHlPWMV/3nXzL72zVYl23Ec8SJ/boJAHJdonVcv3oL4c/1M7pNBPZ/DKABSlfOsfCXohU0+fsm\nrm/YSMPzXCAvsiTq/+MI8vPHmL5Wxrx8Iw3/vBd54xq+/p03i4+sBH7+MYNvdvbQ+LW9ZD+awDWb\nF76sMkjN3SuyN7IMlkX93iySzVZuPQ1/TgDo8+M35sAZUcULBsT5tNI6OPe71Zdc//kEkmNeJG+G\n/72VuU/20/D1CzI7Xe8WLd/Bx4do+9y+si7wfZ29LK0LEPryXrw/FwFe7IN9oBvlvw19ZS+mR7SW\njn2tj/gNXSRuyWDu2lQG0MUbLrRvyw4HqQeEzJtt9yFmPrsCoEGMGwH/eeetGAsLyC8NMPw/tmNc\ntfkSAG1ctZnw5/vLMn5W/waiuwSAvlhHVnm2gfGv9DH6lgClK+dQ6wXhWf19e+n8sQBMheifx+b0\nSFQw8Trs1D86RcUP9iFtEc8+9MvJSxm3jwqG8+m/66d4/VbxLlcAdOHmbWI21XVBlujieVEjOo8+\nM4vscAjteUByOpH2Hsfz8DGRnN+5nlzDRZI6w6Okt7ZglXTRntoUYvmK9nJ7qX0kirS0LMCKx42x\ntFQG0Km37MR+errcPoxlidnriamyhrBULOH72QHMxTiFm7ahVFWSuWMH8ksDFG7cKiQA5+IUL+sV\npEsuZ1kDGNMUMm/VYk9aq1qw1rTjODaJnCuhDU6DZSEfHUTZd1JIACWSWHXV0NmKVDJRujuQU1ms\n5DL2gXEhidTSRCGgISXT5cpmzbf2YqpgpjOiJX51F8SWys8QRNVU0mzIh8/ifPigkIStq0TyebAM\nswyA9GmhFZy6ootktwelupr0m3agT4dfAaDPS0DJzx/D9ZsDlKrd/LlX9UCe7rsE4Dr/+4WbtpFr\n9gvJq+eOCtWJUpHsjRuQXzxGzzfSYFmUKhxYCeGfldVd5Rjx/Ep0ucr2CJRlDjl4UsRLiKTD+XGC\n88Ujtb0VI5FE9rixdqzFODOMHoli5vNi1EBV0ccmkBx2zF2biL5jrUhqBD1I4TmkiRkKN27DPDWI\n6bYjJ7MirquqxIjOl31YdmsLtvF5PC+NIr94jJp/34tSVyMS7M2NKNlLO54qfrAPTIPCzduo+vFR\n1LpaXEPzBM+Y5FuD5HetQZuOlWUILV0v70F9YgoURRD5rRKjj/rYBEvv7iPd5CgDaGVNd/n3Mp0+\n9IkpgkeXUP4v6t4zvq6rzvv9rr336U3SUTnqXbblIjfZkuz0QAoJLQEChAEChN4GZhiY4Rky8AzD\nMDOUoQ8MMPQSOoFkUklsucbdlmT13s45Or3tcl8s6chK4Ln3TnI/H+56ZVtW23vttf/l9/v+KyqY\nvVrg/vlRqTRBqjq8Pz7C8r292JIG1onzqG3NuA+tTv+4ZhfWgZ1w5CyieztDH5Q/V+rO/WS/H6Lp\nCxcwrtuN8tTp9ecKWN7mYOS1//cj/P4sk2ghxOuAQ8CfzoCOnKXhvsNy/qQQGMNjtH7gSFH+BsjD\nw+NBefIUZiIhZ+8JgTEkiaipF2yVLzwhiG0pQfH5SDQoiF1bcU6ssHggiF7uRRuYpGRYxzdtEG1X\nWLq6BpHOYrgElgqZkMDUwDeZg4FRrGhMQsK8dtzzUjaaLRG4FrLotWU0PGRAcz3BS1lWemrxzRQo\nOxvH/uR5Qt88g2c8idLWiNANQk9GcE0kyN/cTaHEie+ENPwbPgfa4BSuZR3XL44hCiaFUAmWKlC3\ntMvgN1+Qm1dV0CemiF/fgWVTJEUxmUbZ1k7s9h3YlmTwP/vqdqxLI7AURegmzpOjqE8P0vipk5QO\n5slsq0MbmcM9lwPDovxsgXibj4JHELyYw9IE0XaNkhGTmWsV8gFBfdcc6ZAgsT1H+VmThavKoSJH\n9R8EU2/Q0TtTWAosb7ejuxXye5O0/NgkG5TFi5nXbcaWLJC5thPv+QVciwWsvq4iGEFxOqWcdLXK\npKWlV8P562OIvduK85ufj2UMrcvnfOPrkI34a3pwPCAPYGVkSs6p9K96jXQTdesmPNMZUMAM+hG6\niS1l0fTRfqxCAf/35QxL53QCZSXB0j4/lpBArMhmO+lKFTUnPcClQzqVJ6R1wBEzSYcENd8bIFmt\nMXlnNakaQbrKRvjaeixVUHUkTtmDIySrNSxFYF8pMP7qWmxzUfL1QczhcXSXAiNTWC4bBZeCmjVY\nunPrejdaE9jiujwACwUsAUpJAK25EW0mgnnNLuyzcZLXbEKdj5K4qwfzzCXUzg5Cn5MeQWNwWFZw\nL0v6qPfRAXnNVEHJIyPka0vIBR1YArzTOals2FxBLqDQ+Q+TKAWLkmEd+0oez6xFYEwWb2xpC0fc\nZHm7g+rDKaJbLeofzmE4BEoOTLuAihzanJ2SQciVQnJ/BlsS8gFB2zd13EsG7nmT6RvcmGcHKPtm\nP4ZDIRNyMH91GeaZSygFA90piL22h0yFDaWxDuPS5WLALEyzKL9S25qLMzifyxL5gpxfOzpOumnd\n12yPyXmGFV/uR7k0Xpw/eeXLe01mbJ04L8FeB3cWP6643Ux/YK+Ea01MF38Hxe0Gy5LUTL9P/rl9\nnRQMkK5fLUYqSnHG6lpXzT6fKP4/69QFxJ6tlPzmgpTlzy9iLIUJPbyAOhtG7NpKbH8t4y8vB0XF\ndNmw+rpQvR7yIR/i8BkCpxbIltvJl9rlfObdW1ByBdI1TmzRDPntTaRfvh8lKu0f8e1BeQ8UFWV6\niYWbGyh9eESeicEyVnZXYg+vJr/pNHp9hQR3nboA7Y14R+JyNm+pfHEqZaUyuO/soFDmZGlfKY7f\nSh7Amk9PTa8HCMbiMqZTBsvC4UDtaMX7E8lnEPkC+tgE+Zu7CYwaaHW1tP/rCMKmFYMnAOPCYPHe\niZMDMmg6O0DmJfsQmkbg12exsjmskxeYu64cvS5YvK/aWOH/7RZ71mrvWvd+5SsMal52kYd+8i1C\nnz3Mwrv7uPytPdgeOoFx7W60R09S90mZwJmpFErXFj47/uwC0tMf/TJTH+0j8UQVU3/Xh+f+ozw4\ns1oft5kojTIpVHSwTy7LwsXpi1Sc3igp9o5In9vcB/rw/4sPVCG7ujOz8h4C+UoP4tFaxKHT6HPz\niP4zZG/fV/w5Ex9JSg/+9XugZwfGcniDsqn6pZflJ+7tAAAgAElEQVQY+lo3alszi+/qQ1gWwuEg\nE7KY+0Afba8/R/W/HUa7NLk+B/ja3eRe1M3AfR2E39QribU2uQ9MTbD4jj5J6n1NitBvJ1i8qZHw\nW2Rh4fIX9sv3VlMDLR/qp/TsCo2vPLehG2P//XHJZQCU0hJKfn+p+LGGb8rRRmLXVgbf7JczoV0y\nwdeaG+l4+zFSITuzf7XacHikDvv0CntuP8/QG1e9sQ6V/W+Wsl99YorL/yU9gpfGq2n+cD/NH+ln\n5F96uPiJuuL3NS4MMvEPvcXmwHNdons7xkoMM53m0j9KL7J18oJM3O0bz1IzuoL/6BSNv1nB/uAJ\nmfQ1SeJ4tkSl9Fv9hF8pg2E1I4tma/Oz15opwunAuDCI2t7C/K31zH6wT/orAY5d2Njp9vmwVOlh\n1+fm0aemCTy9gLEkCcRWJoM+N481OFqUKmvNjahtzdgThkzc1+bzOp1SJtzcKD2m1+6WI+KEgpnN\n4nzkLNOv34RvUHbq3EdH5Pmi6ziHF0lc10Hiqja0S5PE7u7B8rqllSgcQXRvR5lYQF1cwVhaIlvt\nxWyWCWj6li6UgL+YJJjnBzDPD2A7PyY7h8NjWHXVpPe1Yu3ahD4xhe/JYcx4Yj3pQ86UtnQdY2mJ\nxJYyjGhUxlnTM8z9ZR+2uShWIY+yyuHQr9+Dpcj40yrkNygrtNoavA+ex/99Gbd7f7Ia0+3YjFpa\nSvY2qfp7puJUfe42/OJamy9+1eeOyFnFVyzHA8c3FKfXitCuX8i9MfUiWUQxnArJa9rliNxLlzEW\nFovvEAAtZxWVikrXFpxT8t6uvK63qHYw7TIVW/PbK4kUsd3yORj5y83Psi8Y0RWM5TDGdbsxVmLY\nx5ekTbU1iHXygmwgrcRwj0alEuvEeVlIX1WurXmVEYJ4vXwHmbGEzJfcbnKtq7GEEJhnLsniTlUl\nys7OYlFDSxny7BaCXFMQ/y/kmWX//XH06RmmPrAH0S2L/Kbbjn7DHrRQFUY4Iq18swvFM7T02/1F\npQ5CyAR+x2asbA7XL46hdG0hV+Nl6fY2Or4p+RzRXUF5PizK4m351/qZPWgjd0s38a7KdcbAE6cQ\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MqSmsWLy45/4YtO/KBLcIF1sNnNeko2pNCCuegNIAyW0VePvHSfY2rRc33tmHf1J/FkhR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mZfMRRbeL0NN5ybmoy31BJ3PO7g+rypbvB60dtbb2rM1tecc99+POcmEAE/5ZF2jKdO49y/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x1ic/gidQoVIy8AdLmN+L8L//17vZ2tR+U1Hm+elF+Sv3f56lvQ2kh2H9Xy0w/r4OtCo0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\nLmGfOKP89Upm1coJ21aewLGk6lKHQ4jBXhxzCfSsiZ4rIT0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sh0bLUyaF9VlG391NvlYQ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UjH1GJiNh6SvggyXqSgx/tRPorEtnIEl2RGOhZGbfkxDncmI3kVpiIk2vel4omX8VsAXSIm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\nV+DzWViUfISEqH46PTFs3l7Axo6F3PH6+Vy08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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_images(obs_dict, hdu_dict, filt_keys, wfe_drift, fov=fov, save_fig=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F444W_MASK335R_CIRCLYOT\n" + ] + } + ], + "source": [ + "# List of WFE drifts to check\n", + "wfe_list = [0,1,2,5,10][::-1]\n", + "#wfe_list = [0,10][::-1]\n", + "nsig = 5\n", + "# Get contrasts for each WFE drift\n", + "F444W_key = [key for key in filt_keys if \"F444W\" in key]\n", + "contrast_F444W = do_contrast(wfe_list, F444W_key, nsig=nsig)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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KyM0B0v+d557o68e/qntf7BKR0WE/Qfzel8vcZ2KYiMT4hP13oGesuBGRGBEZ5Jb1UhFZ\nISJdfcLs97km34nIvwKkF/QaXsi41/qEiDxdwnZ8ISKnReQ/ItJARB4XkVKrZwWlLOmfJ99OIrLA\nPccv3f//nJ8OiMhI9/lOCOD/qqsn/YKkETG66E8TXfeI1sVAmuj6BXynhqqJbtgS1cWyqolu+DKp\ni5Goie5x8eqiqpbaH9AZUKCcj/sSn+N/AieAzn7SCOgXzB/YA/T2HPd3bbnV4/bXQOmG8VwTgP+E\nmMYSoF8+YRYD8T75JhckjTDaIsDnQHsf95nuNbmtpO/BAHb/Dvh/wH99zxFIyifuc8A77v9XA4eB\nukHuiZPASj9+D7p+icV8rrnuSyAW+AyYB0R5wlUDJBz3RSFsbADsAKq7xzcBx4FfeMJM9InzD+DP\nAdILeg1L4H4rB2wCtp2HvBS40setFvCx+0zuAvrmk0YF4G03bBqwDrjFz31w2r1Ox4EtftLpl/3u\nAx4Hnizpa3Ger3sgTVjic3wh6F8P93650uN2C5AOXBtC/CQgIYh/0PcO50EXQ0mDAJro+kWsLhJE\nE7OvT5C4IWui59qUmC76PpeUAU3M7xqWwP1WqjTRjRNUFymgJrrHxaaLF2pL7bDsf0TkepyCPuQb\nKJhfCP5LcV4S2dyA84Lwuv0PsLJAlpc8bXFuUgBUdQkwo4RsuRPIUtXl2Q4iUh3IBOYAd5WQXfmx\nRlX74rwAQsZtIbof5wWCqm4FvgHuCRLtPaCNe69mpyM4YrCmgHYXGVX9GecF1gWP3ap6TN23WQmQ\nBoxU1VTXlgU4L+H2Hvvis/8XkWjgNuCj82xnYRkI1AEaiUjlEsj/NeAsUBe4G3hdRJoFCV8O2A10\nAqoDTwIzRaSBT7gHVbWK+2ucjw0vAw+LyKWFsP9C44LSP/e9OBF4WlW/z3ZX1U+BWUVNP0QiRRfz\naCKUCl08n5oIEaSLpoklQmnTRAhNFwuiiVCMunhBVR7dbtokVV3tcR7t/vwRzC8//yU4FzmbKjgv\nbq9bBVU9HdToMCPOMKPP3OESy0XkFtf9WeBa4HF3OEHPAEnsAoZ5HzhVfS5YGu6woC/c39zsG1VE\nBogzrPY9EXnLHc6xpAC23AUs83H7LfAhTov4b0Wkgs/5t3GHtnwlIq+LM6xts4j8xvW/QkTmu0M1\nvhSR9oQZVd0TzF9E3nDz/lREuni8GuG0Um72uG0E2gRJ7kfgE+ARj9vNwAKcFrHsPCuJSLKInBKR\nya7bUBH5SUSO+LtOoZyrP1R1P07r+B88+ewXkQQRifJcl2UiMjn7XivAfVFQe35W1enZx+5HRHkC\nfDQD3XBarQN+6AS5hr7hsofMTRaR2eIMYZonIrVd/yvcNJaKM3SoQEOp3I/GUTgt6plA84LELyru\ntbsDGKGqx1X1Pzj3458CxVHVE6qaoKo7VTVLVefitIK3Lqwd7nv2a9eWMskFrH/XAQ2B+X787gOS\nIbD2+cOjE/8RkfE4PXrBKG5dXOEvDT/400QIooulQRNdO/y9UwujiRCCLuajiS8G+n4J5Xx9CaaJ\n7rFfXSxNmuimk68u5qeJbphC62Jp1EQohbpY3F26xfnj3PCApThithJP1znOsJYX3P934hlCE8wv\nRP+r3bzr4AwBGAs0wxlGUwW4EhhdjOea/dvJuaFb5XBesv3c4yuBY8AVeq7bu18++XQFfgaOAlOB\nTj7+edIAHsIdfoHTwjbd45cA7AficBorxhbAlh/wDI1y3WYAFXFedEeA2z1+5XFabv7oHl8LZHjK\nI3sow33ucUvgJ6BqgPxf9ilr7+/lEK6Zv7IaDlzv/p/dsn+te3yDe40reMI/BSwKck8k4HywnQEu\n9pRRFTf/RE/4Om64yzzl9VE+1+kxYEgI96Xv0LnxwEbPcZKbx63Apx73j4EGwcosnNfEY3MyniFE\nPv7T8BlGGeo1DBA+Cfg++z4DJuEM4YrG+RD6s+teHdjjiRe07N0w44BV7v/fAg+EUgZu+Lk4z7m/\n39wAcXIN0QF+CZz0CTMEmFMAO+ritHo38bkPDuE8n1/hf8hlP3IP0ZkATA0139L+o4zoH9DbzSsm\nSJj8tC8Jd9gq/nXiNMHfO8Wui/7S8GNHHk103f3qYoBzjShNdN39vlMpoCZ6nosEQtBFgmhikOsU\nVk10/w+oiyHeF0W9Lp0pgiYGu4YBwibhRxPd/wPqYn5l74YptCa6cQqkixSDJrpxcukihdBE161Y\ndLEcFwZdVTVDnO7dBMgZ7jAc+L1v4GB+ofiDM3xCRFJwXlAX4Qj4Rpwb7EbgUjzDXMJIV1XN8Nia\ngNMqBM4woUbAu66N34vIKpxu8zGhJK6qi0SkHvBHN95iEXlLVf8aJNpuN1wUzjh+3wn7K1Q1u0Vr\neCh2uNTFM8xFRGoAx9VtzRaRD3E+LGa7QdrhiMFM91zWichGT3r/A1wBTHf9N4jIXqAXTottLlR1\nUAFsDQlVHev5f42IzMOZG/Q3bzCfaEFbxVV1qYhsAgaKyHRgv6oedxoTc4U7KCILcIbOPAf0BD71\nBPF3nS4P7czyEGhUwxGghYjcBCzCuc/OhppoUa+JiFQEnsER4yw//hfhDN35SxAbQrmGvszTc622\n03HO/TWcj9wZblqpItLbEydo2YtII5wP1O6u03c4H3+ISDfgZlUd5h5XBFYBN6jqcTe/XsHSD5Eq\nOB/pXo4BVUOJLM4iEjNw5jR5exeG47xPzwJ9gDkicq2q/hAkuTSc919ZoyzpXyAKon3+dGJrsMTP\nhy6G2KuVSxMhX12MeE100w30Tn0329knSn49xSHpYgiaCHmv0z8KcGpego30KzFdDIcmujYUVBfz\naKKI/An4FYF1sVg10c2vqLpYJE10bfOni4XRRCgmXbyghq2q093bzz3sC3yuqof9BA3mF4p/Ntnz\nPm4AvlSnmr8MR1B/RYD5HiLST86tRtXP9zifPINxGXDEW7nEaam4rCCJqNN9PllVu+CM07/ffSjz\nICJX4QjTUFXtCAzC+ZjwklqQ/L3Jk1s0bgfaZZcVTutWLxGp5PpfAhxV1UxPHO81vMxNb4EnjQo4\nLVslxY9Afff/g+7fGh7/Gh73YLyK86IeBLweJNw0zg2fuAv4wOOX5zqp6iOq+oivewg0wGlZ9E1v\nBTAA50W4C6clMd8PgXDgDs2ZBIxX1f8GCPZbnNbFzAD+/vBew0Ac8fz/MxCDn+dVVb/y/J9f2T8P\nLFRn/hU4QtnK/X8LTu9QNg8A73pFMkwcx/kw9lKdEOY2uR/V03HE8EGvn6quUtU0VT2jqu/gtLTe\nmk+SygWmaQXhAta/7PfIL4LYUhDty08n/BIhuuiriRBcF0ujJsK5d2pRNBFC08Vgmgg+1yncmuim\nWSK6WIyaCPnroj9NrE0QXbzQNREC62IhNRGKSRcvlJ5Hf3QAmotIdgvExcDLIrILZxiCXz9V/W2w\nuK5/NkuAh3FWXcu+MZbitBp9r6qn/Bmmqkk43fZefI8Lw26gpoiU8zx4ceSeLxAUEXldVXNaitzW\nu58JLCa/BI6pavYk9JgA4QrDQXK31nQHWqtqumtr9hj9njgLJ6QANXzOP9YTfzeQrqqdsx3c8el5\nWttcv5dxhs74Y11hWvtEZJiqPu9xqgvsc///AUfYG3NOHJsC/w4h6Rk4Q2oaqGdRCT/8C3jTvbez\nVPVoQewPBRG5BGd+yUA/ftVxVoP8t4hcgbPIxl6coWChpF2Ua/IisFpVPxBnTlBdVf3RJ8zdOPMl\ngtkQ7BoGopbn/9o4w/v24PO8isg1wM5A7w6PDTfizGM4JiL7XedKnLuX9+D0/mQ/J/1w3mveND71\ndfPwpaoGnDPmYStQTkSuUtVtrlsrHNEOZr/gLIJRF2eFzvR88lHy/5iqChzI3+QywYWkf98A23De\nKZO8HiLyNk4PfkG0Lz+dyEME6aKvJkJwXYx4TXTTDfROLYomQmi6WKKa6PqXlC6GRRNdGwqqi/40\n8Sf8PMuh6GI4NNH1K6ouFkoT3bwLoouhaCIUly5qmMfBns8fAcaWBwi7k8DLkQf0C+YPNHHzf97j\n1gpnku5T5+Nc8WzVwbmx4ve6x43IPe9jDhAPXIU7n8VPPtuAtp7jTjgfG5X8pYGzmEEmcLXr/yLO\nQ+61L8lPPqHY8glOyy1ATTxzRjxh/gnMdP/Pnt9xt3ucay6Lp3x+7x6Xw5lA36qY7s8l5J0Hsx+o\n4/7fEKdVs5PH/znc8elu2fyMO2cjwD2R4Dn+jfdc8Jnz6HGfhPNS/00I16kz0CvU+xJHED7DGfrj\nXZY8yc2jHzDI474YuL8g90Uhr8Vw4BWcISVVcD5AEnzC1AbW+4n7Mu6coVCuoZ/4STgfsdnzOyaT\ne85j9vNaC2feSUywsscRjNU4LekXe37/416Lem64FTgtjgPJZ55IAcox1/wO1+09nOewMs6QxVSg\nmefc/d1Xb+D0TFXx41cD54O4Is4zejfOkudX+4TrR+45j3PCdZ6l4ef77OUTdielX/92kHtu0V/c\n5yDKz7Pkq31J5J3z6NWJnHmAAfIvdl30TSOAHTma6B4H1cUA5xpRmui6B3ynUgBN9NwrCZ7jfHUR\nP5oY5Dp1Joya6P7fjwC6GMp9UchrUWhNdP0KrYsE0ESfezKPLgYqe0qRJnrOP8lPWn51kUJqouf+\nCbsuhv3lcL5+OEsur+PcggE3BQiXvcT2aTf8yFD8QvF3w6QAPT3HUTgtZV2L8VzjXPfBOMKeCrzn\nul2B85JaBiwn9z4xv8Ppul8NdAmQ1wNuHovdNJYAvwqWBs4E9p04wvamW17TcIY/7cR5qUzzyScU\nW/6EM2+junv+233KuidOy+Rp3D2JcIbs/Bf4D84E9WV49iZyy+cz9xy/xF0oIMz3Zmu33I7ivCC9\nE/AfwxlusBRYC/zJJ25FnBfLStf/5nzuiZ14PiY8/tPc/HcBj/v43YjTwpddSQl2nSYC/xfifbnM\ntflxPItbAEPdtHfiDCH6F868jtU4olG+IPdFIa5H9uIevr8En3DxwP/6iT8HGBzqNfQTPwmnd2QW\nzjLx/wZq+zyv2fdjp/zKHmd+zi7yCozgfDD3co//idNivwq4KExl6U8oa+E8pydwhir19fgtwmfB\nApyhTEruPauOc+4DN84tpzT3Hl6Jn/c7ufd5jMFpXW0Q7uc5En9+nr0LVv88aXcAvsB5z/wHp4W+\ntsffr/YBIzn3/unvumXrxFc4FYf/4LyrfxMg72LXRX9p+LHjT8Bs9/+QdJEI10TXP+A7lRA10ee5\n2EkBdBEfTXTdAl2ncGtif5z3tF9dDOW+KMT1KJImun6F1kWCaKLPs5xLFwOVPaVIE13/AukihdBE\n97jYdDF7JTDDiDjE2VtoCc7mzMkhxqmlnrk6IvId8Jg6e4IZ5AwBeVBV/55PuJo4L9lumncoixEi\nIpKE0+uQUIA4RS57ERkFtAC+UtXxhUnDT5qncVYnfEVVR+QTtjywHmip+Q9LLagdC3Dm1a1W1a4i\nEo8jkMPyiWoYpRbTxOLBNPH8UlY10Q1fLLroq4muW7HpYpldXMCIfNSZoP0HIOgL3Yd35dweeq1x\nFgxYVQzmlTpE5I8iUg6ndeqdEKL8D05LvYnk+SccZb8FZzGTN8JjEqhqRVWtHopIqupZVb0m3BVH\nN+2bVLWqW3Gsj9Nq+3/hzscwIgnTxPBimliqKPWa6IYvFl30aiJAceui9TwaFxQi8ijnxoNXwBly\n8UXJWhUZiMgLQA+clqn+JW1PWUBERuIM/TmNMw/s7RI2yTCMMoRpYmBME88/pokXBue98igiQ3GW\nLP4JZwJwf81nZUHDMAzDuJAwLTQMwzBKI+e18igiF+OsolRbVbNE5BOclTJnnDcjDMMwDKMEMS00\nDMMwSivne87jSZyNL7M30KxCCHufGIZhGMYFhGmhYRiGUSopdz4zU9Vj7lCd90UkBWfTzjwbt1as\nWFGjo6PzxK9duzZxcXEFzjc1NZXq1QPt5Vs4wp1mcdh46NChQpVXIKwcw4OVY3iwcgwPF3o5Hjp0\niJ9++imP+8mTJ8+oasWi2lYYTAvPX3pgz0y4sHIMD1aO4cHKsWCEVQvDvfdHsB/OBrUbOLd56ot4\nNhjO/l1gNar5AAAgAElEQVR00UUaTh544IGwplccaRaHja1btw5relaO4cHKMTxYOYaHslqOwAk9\nj/rn/ZkWnr/0VO2ZCRdWjuHByjE8WDmGh8Jo4fketvoL4LCqZrjHKTgbwBqGYRhGWcG00DAMwyiV\nnNdhq8BnwK0i8iJwFGgODCruTG+77baIT7M4bAw3Vo7hwcoxPFg5hgcrxxLBtPA8pVccWDmGByvH\n8GDlGB6sHEMnIvd5rFy5sp44caKkzSj1tGnThrVr15a0GaUeK8fwYOUYHqwcw4OInFTVyiVtRzBM\nC8ODPTPhwcoxPFg5hgcrx/BQGC20yuMFTFl9sNLT09mzZw+nT58OS3opKSlccsklYUmrLGPlGB6s\nHAtGxYoVueyyy4iJicnlbpXHsoNpoWlhJGHlGB6sHAtGOLXwfA9bDYnatWuXtAkXBAMGDChpE0qE\nPXv2ULVqVRo0aICIFDm9wq5saOTGyjE8WDmGjqry888/s2fPHho2bOjrfagkbCoIpoXhwbTQtDCS\nsHIMD1aOoRNuLTzfC+aEhN0M4aGsCubp06eJjY0Ni1iC3Y/hwsoxPFg5ho6IEBsbG6jnJe+a5RGG\nXevwYFpoWhhJWDmGByvH0Am3FkZkz2NqamrOy/62226LmAmiRukhXGJpGEbpxvsumDNnDnPmzMk+\nDO+GXsWAaaFRVEwLDcOA8GphRM55bNOmjZbF+QlGeNi0aRPXXHNNSZthGEaE4O+dICL/VdU2JWRS\nSJgWGkXBtNAwDC/h0sKIHLZqGIZhGIZhGIZhRBZWeTQMwzBKlDfffBMRYcmSJTlur732GiLCggUL\nSs4wwzAMwzhPlBYtjMg5j2cysvjh0AmuiIvoVdQNwy+DBw9m6tSpvPrqq9xzzz1s2rSJLl26kJKS\ngogwduxYFi1aRGJiIhMnTmT+/Pm5FnRYuXIl06ZNY9iwYXn8tm/fzrRp03LlN2nSJIYNG0bfvn2J\ni4sjJSWFrl270rt374A2TpkyhRMnTvDQQw/l2BwbG8uqVasYNmwYGRkZdO7cuchlkZqayjPPPMM7\n77zD/v37c9xPnz7NY489xi9+8Qu2bdvG448/ztVXX13k/IqTr388wrFT6WFLr1qlGK6rVzNomGXL\nljFy5Eh27NjBtm3bKF++fI7f8OHDmT59OmPGjOH+++8Pm12FYf/+/Tz55JOsX7+eNWvW5LgvXLiQ\njz76iDp16iAijBo1ym/85ORkWrVqxebNm+ncuTMnT55k8uTJxMXF0bJly/N1GhHHmYwsth44wdV1\nTQuN0odp4TlMCwNjWniOUqOFqhpxv6uattKFmw5pZmaWGkZB2bhxY4nmn5GRobGxsZqSkqKqquPG\njdNGjRrpqlWrVFV19uzZ+uWXX6qq6uLFi7V169a54s+cOTOg3yeffOI3z/r162tycnJO/n379tVx\n48YFtTMr69zz1bBhQ1VVPXv2rE6dOlVHjRoVyqnmy9y5c3XVqlUaGxuby/3ZZ5/VsWPHqqrqhg0b\n9MYbbwxLfsXJ4s0HdMPuo2H7Ld58IKR8R40apddff72+9tprOW4HDhzQzp0757k/SooPPvhA//Wv\nf+Wy58SJE3rFFVfo6dOnVVX197//vS5cuNBv/A4dOuizzz6rjzzyiKo698fTTz+tdevWDYt9/t4J\nwFqNAL0L9ruqaSv9/LuDmp6RGZZyMMoWpoWmhcWBaWFgyooWRmTPY1QUpGcqP504S52qFUraHKMU\n89l3xbOVW49mgZeIjo6Opnv37sybN4/+/fuzd+9e7r33XubOnUvbtm1ZuXIliYmJfuM++OCDTJgw\nwa/fwIEDeeONN/K1LTo6mhEjRtC5c2eGDBlC79692b59O506dWL58uX06NGD7du3A5CUlMQrr7zC\n4cOHSUhI4Ne//jWzZ8/m6NGjJCQkMHDgQC6++OKctFesWMHo0aPz5FmpUiU+/vjjPO49e/Zk586d\nedznzZvHM888A0CLFi1Yv349x44do1q1ajlhpk6dyhNPPMFf//pXdu3axfbt25k7dy6ZmZn88Y9/\npFy5cjRp0oSVK1fywAMP8O233/L111/Tu3fvC25p/pEjRxIfH0///v2pUKECEydOJD4+nrFjxwJw\n/PhxevfuTceOHdmyZQt9+/alW7dubNmyheeee44WLVrwzTffMGLECFQ1j5tvS/edd97J8ePH89jx\n5JNPcuONN+Zxv/POO3MNswHnXqlfvz4VKjjv8BtuuIF58+bRtWvXPPE3bdpEUlIS8fHxHD16lPff\nf5/x48fzxRdfFLbILgiio4QshYNpZ7m0RsWSNscoxZgWmhZeCJgWRgYRWXk8dSKNfyQM4aLyUfTr\nc4ctT26UOnr16sXMmTO58847qVGjBrfeeisDBgxgzJgxqCrR0dE5YXfv3s2gQYMA2LFjR650vH4H\nDx4MOf/69etz4MABzp49y9ixY7nhhht49tlnOX36NCkpKezbt4+kpCQAHn74YV566SUSEhIAZzjQ\nzp07c469tGvXjs8++6wAJeGfgwcPUrVq1ZzjatWqcfDgwVyC+Ze//IV33nmH9u3bM3r0aP7+97+z\nYMEC7rjjDh5//HFGjBjBuHHjWLduHbfffjvbt28nNTWVjh07XnCC2bx5c9q1a8ekSZO46667iIqK\nyrXHVVRUFI8++ijdunXj8OHDdO/enW7duvHpp59Svnx5HnzwQfbu3UvFihV5//3387j5MmvWrCLb\nHOga+7J7925iY2Np1KgRBw8e5IUXXuChhx5i69attGjRgqSkJGrXrk2vXr2KbFNp26rj1Ilj/CNh\nCBVjorjvj6aFRunDtDA4poUFw7QwMrQwIiuPsTVr8kjCi0QLdGlSu6TNMUoxwVpFizXfHj3429/+\nxpw5c+jevTutW7dm//79fP7557Ro0SJX2Msvv5yXX34ZgC1btgT027x5c8j579q1i7p16+bMC7jy\nyiuJiYkhJiaGqlWrsm/fvkKd1/Llyxk5cmQe90qVKnlfRPlSp04d0tLSco6PHTtGnTp1/IbNbgmM\ni4vLFeeKK64AoEaNGjRo0ICoqChq1qyZK8yFxKhRo+jevTs//vgjw4cP59tvv83xU1WWLFnCihUr\niImJ4dAhp5fhgQce4LnnnqNDhw40btyYl156ya+bL7fffrvf1tZRo0bRoUOHkOwN9RonJyfnPBNV\nq1bls88+Y/Xq1QwaNIjrrrsuJ5xXOPv06cN7771HUlISixcvpmnTpkRHR/PYY48Ftcm7V+Jbb72V\nGtKJlCCxNWsyKOFFALo0ji1ha4zSjGmhaeGFgmlhyWthRFYeowRqVCrH0VMZHEw7w6XVbbiOUbqo\nWbMmLVu2ZMKECSxfvhwR4ZZbbmHIkCEsXbo0YLzGjRsH9GvSpAlz587Nt9UpKyuLp59+miFDhuS4\nFWSj6OjoaFSVI0eOkJaWRr169XL82rdvz8KFC0NOKxA9e/ZkxYoVdOjQIWeCuLel1Yttcu3QtGlT\nOnbsSPny5aldO3ej2uTJk9m3bx9Tpkzh7NmzOUO6Vq1axeOPP85TTz3F0KFDmTZtGtdee20et8GD\nB+dKb/bs2UW2t127duzatYszZ85QoUIFvvrqK+Lj4/OE27BhQ45gDh06lNjYWKKjo0lOTubPf/5z\nrg8Df9x0003cc8899OnTh6ysLKKiLpxFxEWgdpXyHDp+lv3HzlCvVqWSNskwCoRpYXBMCwuOaaF/\nzqcWRqzKXuJWGFOOnilhSwyjcPTq1YvGjRvnPMA9e/akevXqxMY6PQiHDh1i+vTppKSkMG7cuFxx\nvX6JiYk5v+nTp+fJZ8qUKaSmpjJp0iSeeuop4uPj6dGjB0OHDgWcl+muXbuYMmUKAGlpaUyfPp0N\nGzawfPlyJk6cSGpqKomJiWRmZtK2bVtWrVrF0KFD+fnnn4tUBuvWrWPChAmcOnWKxMREUlJSAHjk\nkUfYtWsXiYmJvPjii7z99tt54i5YsCDH7u3bt7Ns2TLmzJnDgQMHcuz/+uuvSUpKYteuXSxevJik\npCRSU1P54IMPimR3pLB27VqWLVvGhAkTSE9PZ8aMGTz99NO57o8ZM2bQvXt3tm3bxtChQ3nxxRdJ\nTU3lww8/5PDhwwwePJixY8dy6NAhfve73/l1KypLly7Ndb+eOnWKiy66iNdff52HH36YJ598kpYt\nW/qd45GcnEzz5s0B55lp164dABs3bqRZs2Y54SpUqEBGRgYAJ06cyHHPdktPD9/qf5HEJdWdeTIp\nqadL2BLDKBymhaaFRcW0MLK0UJyFdiKLNm3a6FcrV7Nki/OwdmkcS/lyEVvPNSKMTZs2cc0115S0\nGcYFRkksT27AW2+9RYMGDWjWrBnDhg2jdevWfPTRR3z55ZckJSUxf/58Lr74YurWrcvw4cP9puHv\nnSAi/1XVNufjHApLmzZtdOWqNXyx5SeyFDpdVYtK5aPzj2gYmBYaxYNpYckQSVoYkcNWASqUiyK2\nSgw/HU/nYNoZLqtpw3UMwyg5TNzOP8uWLWPu3Lm888471KhRg3fffReARx99NCdM3759w7KAQKRS\nLlqoU7UC+4+dYf+xMzSsfVFJm2QYRhnGtPD8E2laGLGVR4CaFzmVx5NnM0vaFMMwDOM807FjRzp2\n7BjQv1+/fufPmBKk5kUx7D92xrTQMAyjDBJpWhjRY0EruENVT2dklbAlhmEYhlEyVIhxtPCMaaFh\nGIZRwkRkz2NqaioDBgzgdHomjdp0oWfPC3dIkmEYhnF+KG37PGZr4dmMLBq07kz3W3qWtEmGYRhG\nKaeoWhixC+asWbOGtDOZLP/hCFUqRHPjlbVK2iyjlGCLBBiG4aU0L5izZs0aTqdnsXTbYSqUi7L9\nHo2QMS00DMNLuLQwIoetHj2VzrxNh6hYzobqGIZhGGWTo6fS+fjbAzlTOM5mZBGJDb6GYRhG2SEi\nh62ezshi66ETdLsqFhFIz1Qys5ToKNsg1Yh8Bg8ezNSpU3n11Ve555572LRpE126dCElJQURYezY\nsSxatIjExEQmTpzI/PnzGTBgQE78lStXMm3aNIYNG5bHb/v27UybNi1XfpMmTWLYsGH07duXuLg4\nUlJS6Nq1K7179w5o45QpUzhx4gQPPfRQjs2xsbGsWrWKYcOGkZGRQefOnYtcFrfffjtHjx7NOf7g\ngw+Ii4srcrqGURY4k5HF9p9PcjI9k5hoIT1TOZupVChnWmhEPqaF5zAtNC4oVLVYfsDFwGRgjcet\nFjAJeBx4G6jrL27Da1rq84t/0OSUY7p4y0/66bcH9cSZDDWMUNi4cWOJ5p+RkaGxsbGakpKiqqrj\nxo3TRo0a6apVq1RVdfbs2frll1+qqurixYu1devWueLPnDkzoN8nn3ziN8/69etrcnJyTv59+/bV\ncePGBbUzKysr5/+GDRuqqurZs2d16tSpOmrUqFBONV/ClY5hFAV/7wRgrRaT/nl/RdHCK5o6Wrh2\n91H9z7af9dNvD2rqybPFUELGhYhpoWmhYXgJlxYWZ8/jjcAnwLUet2eAhao6U0RuA8YBf/KNWNFd\nWW7TgeNcVrUip9OzOJORxUW2ObJRQF5Ysr1Y0h3auVFAv+joaLp37868efPo378/e/fu5d5772Xu\n3Lm0bduWlStXkpiY6Dfugw8+yIQJE/z6DRw4kDfeeCNf26KjoxkxYgSdO3dmyJAh9O7dm+3bt9Op\nUyeWL19Ojx492L7dKZekpCReeeUVDh8+TEJCAr/+9a+ZPXs2R48eJSEhgYEDB3LxxRfnpL1ixQpG\njx6dJ89KlSrx8ccf53HfvXs3zzzzDKpKvXr1+NOf8jzu9O7dmx9++IFOnTqxceNG2rZty+jRo5kz\nZw6PPvooffr0Yf/+/WzdupVHHnmEhQsXsn79ev75z39Sv379fMvDMEqYImiho3mbDhynSe3KpJ3J\n5HRGFtXOg9HGhYVpoWmhYYSLYqs8quosEens49wTeNr9/yvgHX9xK5aLJkpg15FT1KtWEYAz6Tbv\n0Sg99OrVi5kzZ3LnnXdSo0YNbr31VgYMGMCYMWNQVaKjzzWE7N69m0GDBgGwY8eOXOl4/Q4ePBhy\n/vXr1+fAgQOcPXuWsWPHcsMNN/Dss89y+vRpUlJS2LdvH0lJSQA8/PDDvPTSSyQkJADOcKCdO3fm\nHHtp164dn332Wch2/PWvf6Vt27YAOUOHfEVz7NixdOjQgeeffx6AevXqMXr0aG677TY+/PBDGjZs\nSGJiIoMGDWLdunW8/vrrjB8/nlmzZjFkyJCQbTGMkqAoWlihXBQxUUJK2hmuqlUZMC00ShemhQ6m\nhcaFxPme81gHSHP/PwbUFJFyqprhDRQl0LDWRfzw80l+PpVOFMLpDNsc2Sg4wVpFi5MePXrwt7/9\njTlz5tC9e3dat27N/v37+fzzz2nRokWusJdffjkvv/wyAFu2bAnot3nz5pDz37VrF3Xr1qV8+fIA\nXHnllcTExBATE0PVqlXZt29foc5r+fLljBw5Mo97pUqVvMs+55AtlgBdunThiy++8Nvi2qhRo5yP\niJiYmFx+V1xxBQA1atSgQYMGANSsWZOdO3cW6hyMkuHNN99k4MCBLF68OGcO0WuvvcaDDz7I/Pnz\nuemmm0rWwPNLSFoowFVxldl44DgHT54hhihbQM4oFKaFpoVGZHAhaOH5rjweBKoCR4FqwBFfsQQ4\ndOgQI++5laOn0ykXJZSPiqJ8uSge/vvAXBOmDSNSqVmzJi1btmTChAksX74cEeGWW25hyJAhLF26\nNGC8xo0bB/Rr0qQJc+fOpVev4PueZmVl8fTTT+dqiRQJfYGN6OhoVJUjR46QlpZGvXr1cvzat2/P\nwoULQ0onLS2N8ePH5wjstm3bcsTPl4LYV2LsXg2nU8OXXsXqcHnboEGWLVvGyJEj2bFjB9u2bcv5\nAAIYPnw406dPZ8yYMdx///3hs6sQ/OpXv6JiRWeUSHR0NIsWLcoTJjk5mVatWrF582Y6d+7MyZMn\nmTx5MnFxcbRs2bLYbDt06BApKSn+PtRqF1um+ROyFj7+xx4cOZVOtEcLHzEtNEoJpoWmhfliWljq\ntPB8Vx7nAe2A3cAN7nEe4uLiWL5yNROX7yI9S2lcqzINalWi5WU208MoPfTq1YvvvvuOqChnDm/P\nnj3ZvHkzsbHOPm2HDh1i+vTppKSkMG7cOB577LGcuF4/75yQ5OTkPII5ZcoUUlNTmTRpEnFxcezd\nu5cePXpw9913AzB58mR27drFlClTuO+++0hLS2P69Ols2LCB5cuXs27dOlJTU0lMTOSJJ56gbdu2\nzJgxg6FDh/L3v/89l2AWhJiYGNavX8/IkSNzBHjMmDF5wmXbt2jRIo4dO0ZqaipTpkyhefPmbNiw\ngenTp3PppZeybNkykpOTad++PXPmzOHIkSNs3bqVq6++ulD2FZjTqVA5jPWNEz/lG6Rjx465xCU+\nPh5whm2tXr2aSy+9tMTFEpzeBX9Du7xs2LCBPn365PQavPLKK/zhD3/glVdeoW7dusVmW1xcHJdc\ncglr167N5S4i+V+A4iNkLVy1eg2vL9/FqYwsrqx5EfVqVKJ1/QLv6WwYJYZpoWlhUEwLS50WihbT\nnlEi0gm4F+gBvA68CFQCxgK7gCuAx1X1gG/cNm3a6Nq1a5mz8QCbD57gkioVaFy7Mtc3qFEsthoX\nFrYxslEsbFsQfsG8Kv/hKQkJCbRp04b4+Hi2bdtGhQoVSEhIoFmzZowdO5a1a9dy/PhxevfuTceO\nHdmyZQt9+/alW7dubNmyheeee44WLVrwzTffMGLECFQ1j5vvR8edd97J8ePH89jy5JNPcuONN+Zx\nv+OOO2jbti2nTp3i+uuvp2fPnnnCxMXFsWrVKuLj43nvvffo0qUL48ePJzExMeQW/MISro2RC0M4\ntHD+1kOs35dGnYvKc1VsZdpfUbO4zTYuAEwLjWLBtLDMa2FxLpizFPAdk3AKeCDUNOpUqcDmgydI\nz8zitM3zMAyjjNK8eXPatWvHpEmTuOuuu4iKisq1R1hUVBSPPvoo3bp14/Dhw3Tv3p1u3brx6aef\nUr58eR588EH27t1LxYoVef/99/O4+TJr1qwC2Td8+HDatm1LZmYmHTt2pGrVqnTs2DHHf/fu3cTG\nxtKoUSMOHjzICy+8wEMPPcTWrVtz5j0lJSVRu3btfIeilTbCpYWQRnqW2pxHwzDKLKaFkcH5HrZa\nIKq4W3OkZ6mtMGcYRplm1KhRdO/enR9//JHhw4fz7bff5vipKkuWLGHFihXExMRw6NAhAB544AGe\ne+45OnToQOPGjXnppZf8uvly++23+21tHTVqFB06dMjjnr0YRHR0NB06dGDx4sW5BDM5OTlHGKtW\nrcpnn33G6tWrGTRoENddd12utLzC2adPH3r06MHixYtp2rQp0dHRuYa0lRXOaaGzbVWWKlGlYW6U\nYRhGmDEtLHktjCqxnEOgSgWnbpuRpTk/wzCMskjTpk3p2LEj5cuXp3bt3EOGJk+ezL59+xgxYgSD\nBw/OcV+1ahWPP/44q1atom7dukybNs2vmy+zZ89m4cKFeX7+xHLz5s28/fbbOcf+FoPYsGFDjmAO\nHTqUCRMmEB0dnUtIg3HTTTcxfPhw1q5dS1ZW2WtIzNbCTFcDz1rvo2EYZRTTwpLXwlLR85hdaTyT\nnkW5CtHBohiGYVwwrF27lmXLlnH8+HGeffZZZsyYAeReRGLGjBl0796dWbNmMXToUGrVqkVqaiof\nfvghqsrgwYNp1KgRhw4dIj4+nv/+97953IpCtWrVmDdvHvv27ePYsWNcfvnl9O3bN1eY5ORk7rjj\nDoBcQ3E2btxIs2bNcoWtUKECGRnOwqMnTpwAyDlOT08vkq2lFe8oHIAzGVlUjDEtNAyjbGBaGFla\nWGwL5hSFq666Srt06UJmlpLVqC3Nb+hK09gq/E/DGtSqXD7/BIwyjS0SYBQLJbA8eVnirbfeokGD\nBjRr1oxhw4bRunVrPvroI/r378/8+fO5+OKLqVu3LsOHDy9w2tnvhDlz5uTswfbWW299r6pXhfs8\nwkm2FqoqmQ3bck37rjSrXYU29apTp1qFkjbPiHBMC41iwbSwWCkNWhiRlcfsFeZUlX98uZP0LKVp\nbBWuq1eNS6rnndBqGF5MMA2jdLFs2TJefPFF3nnnHWrUyL2qdjgWDyjJ1VaLQrYWAry+fBfHz2bS\nuFZlrr2sGvVqVSph64xIx7TQMEoXpUULI3rYqohQpUI5jpxKdxYKsEVzjFLA4MGDmTp1Kq+++ir3\n3HMPmzZtokuXLqSkpCAijB07lkWLFpGYmMjEiROZP39+rg2/V65cybRp0xg2bFgev+3bt+cZlz9p\n0iSGDRtG3759iYuLIyUlha5du9K7d++ANk6ZMoUTJ07w0EMP5dgcGxvLqlWrGDZsGBkZGXTu3LlI\n5XDkyBHi4+Np1aoVx44d49ixY/zjH/8gOtqG2xm56dixY65FBbz069fv/BoToVSpUI7jZzNtxVWj\n1GBa6GBaaIRKqdFCVY24X+vWrTWbf36zV59f/IN+8PU+3ZSSpoaRHxs3bizR/DMyMjQ2NlZTUlJU\nVXXcuHHaqFEjXbVqlaqqzp49W7/88ktVVV28eLF673dV1ZkzZwb0++STT/zmWb9+fU1OTs7Jv2/f\nvjpu3LigdmZlZeX837BhQ1VVPXv2rE6dOlVHjRoVyqkGZffu3fr666/nHPfo0UNnzZpV5HQNo6D4\neycAazUC9C7Yz/v8f5Scos8v/kHf++9eTd5zLBzFYlzgmBaaFhqGl3BpYUT3PAJUKe+YaK2tRmG4\n5931xZLuu/e0CugXHR1N9+7dmTdvHv3792fv3r3ce++9zJ07l7Zt27Jy5UoSExP9xn3wwQeZMGGC\nX7+BAwfyxhtv5GtbdHQ0I0aMoHPnzgwZMoTevXuzfft2OnXqxPLly+nRowfbt28HnGEQr7zyCocP\nHyYhIYFf//rXzJ49m6NHj5KQkMDAgQO5+OKLc9JesWIFo0ePzpNnpUqV+Pjjj3O5XXbZZQwcODDn\nOCsriypVquSJ27t3b3744Qc6derExo0badu2LaNHj2bOnDk8+uij9OnTh/3797N161YeeeQRFi5c\nyPr16/nnP/9J/fr18y0Pw7gQyNHCTNNCo+CYFpoWGka4iPzKYwXP/lY2bNUoJfTq1YuZM2dy5513\nUqNGDW699VYGDBjAmDFjUNVcw1V2797NoEGDANixY0eudLx+Bw8eDDn/+vXrc+DAAc6ePcvYsWO5\n4YYbePbZZzl9+jQpKSns27ePpKQkAB5++GFeeuklEhISAGc40M6dO3OOvbRr147PPvusACXhsGbN\nGqpWrcrNN9+cx2/s2LF06NCB559/HoB69eoxevRobrvtNj788EMaNmxIYmIigwYNYt26dbz++uuM\nHz+eWbNmMWTIkALbYhilkWwtzMhSTlvl0SglmBbmxrTQuBCI/Mpj+XN7PZpgGgUlWKtocdKjRw/+\n9re/MWfOHLp3707r1q3Zv38/n3/+eZ69fC6//HJefvllALZs2RLQb/PmzSHnv2vXLurWrUv58s7q\nxFdeeSUxMTHExMRQtWpV9u3bV6jzWr58OSNHjszjXqlSpZyVu3xJTk5mwoQJvPvuu0iAjc0bNWqU\n8xERExOTyy97n6QaNWrQoEEDAGrWrMnOnTsLdQ6GURqpmjMKJ4sz6ZklbI1R2jAtNC00jHARkZXH\nQyfO8s7qPfy57WXneh5tqI5RiqhZsyYtW7ZkwoQJLF++HBHhlltuYciQISxdujRgvMaNGwf0a9Kk\nCXPnzs13pa2srCyefvrpXC2RgYTKH9HR0agqR44cIS0tjXr16uX4tW/fnoULF4ac1po1a5g8eTJv\nvfUWqhrQ/oLYZxhlhZ9OnOWNr35k4A31qFzh3F6PZzOVLFWi7LkxIhzTQgfTQuNCIiIrj4cPH+WZ\nJxEFDikAACAASURBVAaxrGFNbuzaAy75JRlZWWRmKRmZWZSLjippEw0jX3r16sV3331HVJRzv/bs\n2ZPNmzcTGxsL5N7cdty4cTz22GM5cb1+3jkhycnJeQRnypQppKamMmnSJOLi4ti7dy89evTg7rvv\nBmDy5Mns2rWLKVOmcN9995GWlsb06dPZsGEDy5cvZ926daSmppKYmMgTTzxB27ZtmTFjBkOHDuXv\nf/97LsEsCHv27KFbt260bNmSm2++mczMTLp27ZrH/mz7Fi1axLFjx0hNTWXKlCk0b96cDRs2MH36\ndC699FKWLVtGcnIy7du3Z86cORw5coStW7dy9dVXF8o+o+zh3dsKqF6StoTCz0eO8tKIR1nZsCbd\nut8Kda4lM8vZXutMRhaVYmy1RiPyMS00LTQii6JqYUTu81irQVNt+9gUnrz1appfUpW3Vu2mfLTQ\nuFYVbryyJlUqRGSd14gQbG8rwzC8lNZ9Hms3bKrXDX6bITddSccrajHhq11ECzStXZVfNaxBjYti\n8k/EKLOYFhqG4SVcWhiRXXhn0jM5mnaGZd8fpkr5c8NWVdUWzTEMwzDKBKfOZpKadoYl236mYrko\nykUJmQqZamsAGIZhGCVDRFYeK5SLIkuVNbuOcuxMJhXLRaGYYBqGYRhlh4vKR6PAd/uOse/YGSq7\njakZmcppWzTHMAzDKAEisvJYrZIzFCft5FmW7zji2a5DOW09j4ZhGKWON998ExFhyZIlOW6vvfYa\nIsKCBQtKzrAIplolZ4pG2sl0/rP9SM6UDdu6yjAMo3RyIWhhRE4erFbRMev4ybMs+/4wbepX4yfS\n3RVXrbXVMIzzz/pD60k7mxa29KqWr0qruODL5y9btoyRI0eyY8cOtm3blrPcPMDw4cOZPn06Y8aM\n4f777w+bXQXlhx9+4Mknn+S6665jz549xMbG+l3CPjk5mVatWrF582Y6d+7MyZMnmTx5MnFxcbRs\n2bIELI98qlaMQYCTp9JZ9v3P3HxNbcC2rjIMo+QwLfRPWdLCiKw8li8XxVV1KrPt4Am2Hkij1eVV\nAcjIyrKeR8MwSoS0s2nUrFgzbOkdOX0k3zAdO3bMJS7x8fGAs0n26tWrufTSS0tULAEOHz5Mnz59\n+O1vfwtA06ZN6dmzJ61bt84VbsOGDfTp0ydnj7ZXXnmFP/zhD7zyyivUrVv3vNtdGigXJfyyXnW+\n/jGV3YdPcvyM03ianmXz/w3DKBlMC/1TlrQwIiuPqamp7J0znp37jnGmVUcON7kLcAXTWlsNwyhj\njBw5kvj4ePr370+FChWYOHEi8fHxjB07FoDjx4/Tu3dvOnbsyJYtW+jbty/dunVjy5YtPPfcc7Ro\n0YJvvvmGESNGoKp53HyXeL/zzjs5fvx4HjuefPJJbrzxxlxu119/fa7jrKwsKleunCfupk2bSEpK\nIj4+nqNHj/L+++8zfvx4vvjii6IWT8iUtq06UlNT+f6jcezcncqplh04mKOFWdbzaBhGmcO0MDwU\nVQtDrjyKSJSqnhe1ql69OtOnTuaON1YTJXAyPZOoaHGG6lhrqxHhDB48mKlTp/Lqq69yzz33sGnT\nJrp06UJKSgoiwtixY1m0aBGJiYlMnDiR+fPnM2DAgJz4K1euZNq0aQwbNiyP3/bt25k2bVqu/CZN\nmsSwYcPo27cvcXFxpKSk0LVrV3r37h3QxilTpnDixAkeeuihHJtjY2NZtWoVw4YNIyMjg86dOxe5\nLFJTU3nmmWd455132L9/f5HTK6s0b96cdu3aMWnSJO666y6ioqKIi4vL8Y+KiuLRRx+lW7duHD58\nmO7du9OtWzc+/fRTypcvz4MPPsjevXupWLEi77//fh43X2bNmlUoOz/++GO6d+9OkyZNcrnv3r2b\n2NhYGjVqxMGDB3nhhRd46KGH2Lp1Ky1atAAgKSmJ2rVr57vxd1G47bbbuO222wB46623UguTxvnW\nwvenTeXWV5ejCmmnM6hUIZqMLOVMeiaqapuKGxGLaeE5TAvDg2lheCiqFgatPIpIfyAeaAqUE5EU\n4EMgQVULJbyhcnmti7i8ViV2Hz7Fjz+dpEHdys4iARlZZKkSZYJpRCgvvPAC06ZNo1u3bgD8+9//\npnLlyqxZs4a2bdvSpEkTbrjhBtq2bcvJkyf59ttvSUhIyIn/wQcfUKdOHfr165fH71//+lee/AYM\nGMAzzzxDfHw8zZs3JzMzk3vvvZc9e/YwZMgQvzbed999ePd4nT17Ntu3byf9/7N35/FVVffexz/r\njDnJyTwHQhgURBRUEB+1IFq90Cq3ky081rbeWnmsdlBRvF5ni1ft5WprbeulltKq7W2L1Ra8VS8W\nRYtDQYEok8yQeTw58zl77/X8cU5CQhJyAmQAfu/Xixc5e1zJS/Nl7b3Wb8XjPP/88+zdu/e4BObb\nb7/Nl770JX75y18e87VOdffffz+zZ89m//793HnnnXz00Ucd+7TWvPHGG7zzzjs4nU4aGhoAuOGG\nG3j00UeZMWMGEyZM4PHHH+9x2+E+//nP9/i09f7772fGjBk9tm/NmjWsWbOGH/3oR932VVZWdgRj\nZmYmr7zyCu+//z633HIL5513XpdjOwfn/PnzmTNnDmvWrOHMM8/Ebrd3WUB8sAxlFuZ7XUwoyWRb\njZ+99UEmlmdhWBpTJ+Y+Ou2ShWJ4kiw8RLLw+JEsHLosbNdr51EpdTcQAuYBVUAcyAMuBJ5WSv2L\n1joykI07pzybA81hGgNRRhdnYFiJ/8FjhkWa0z6QtxYnien//saAXPf9f5vV6z673c7s2bN5+eWX\nuf7666mqquLrX/86q1atYvr06bz77rssXry4x3O/853v8NRTT/W478Ybb+Tpp5/us212u517772X\nWbNmsXDhQubNm8fu3bu55JJLWLduHXPmzGH37t1A4pfTk08+SXNzMw888ACXXXYZL730Eq2trTzw\nwAPceOONlJSUdFz7nXfe4cEHH+x2T4/Hw4svvtht+5VXXsnevXuP2N558+axa9cuLrnkErZs2cL0\n6dN58MEHWblyJbfeeivz58+ntraWHTt28P3vf5/Vq1ezadMmfve731FRUdHnz+NkceaZZzJz5kxc\nLhcFBQVd9j3zzDNUV1ezbNkyYrFYx38n7733Hv/6r//KD37wA+644w5+85vfcM4553Tbdtttt3W5\n3ksvvdSvtr388su89dZb/PjHP6ampoZ9+/Zx4YUXduzfvHlzR2Decccd5OfnY7fbqays5Bvf+Eaf\n17/iiiu49tprmT9/PpZlYbMNXqHw4ZCF51fksK3GT1MwBtCRhZG4hdM+LIumi2FGslCy8GQhWTg0\nWdhZj51HpZQNWKW13nTYrnrgz0qpN4FSYM9ANm5kjgeAQMQAugamdB7FcHbVVVfxhz/8gauvvpqc\nnBw++9nPsmDBAh566CG01tjth/77PXDgALfccgsAe/Z0/V+q8776+vqU719RUUFdXR2xWIzHHnuM\niy++mEceeYRIJEJNTQ3V1dUsX74cgO9973s8/vjjHU91d+/ezd69e7s85W134YUX8sorr/TjJ9G3\nxx57jBkzZvDDH/4QgFGjRvHggw8yd+5cXnjhBcaMGcPixYu55ZZb2LhxIz//+c954oknWLFiRa9P\nk08W69evZ+3atQQCAR555BGef/55ABoaGnj22Wepqanh+eefZ/bs2axYsYI77riDvLw8fD4fL7zw\nAlprbrvtNsaOHUtDQwM33XQTGzZs6LbtWGzYsIF58+Yxbdo0Lr30UoLBIDfffHOXwKysrORLX/oS\nQJehOFu2bGHSpEldrud2uzGMxO/8YDAI0PE5Ho8fU1v7a7hk4ai8dABCUQOtNTHTQifXPc4cyBsL\ncYwkC1MnWdg7ycKhzcLD9dh5TM7n2ASglLpKa73qsP2tQOuRLqyUKgEWA1O01ucntz1B4gluAJgC\n3KK17nXwd3luovMYjpmgNXGLjsAUIhVHeio6kObMmcO3v/1tVq5cyezZs5k6dSq1tbW8+uqrHU+d\n2pWXl3cMb9i+fXuv+9orc6Vi3759FBcXd5SzPu2003A6nTidTjIzM6murj6q72vdunU9lp72eDyd\nJ1/329ixYzv+EeF0OrvsGzduHAA5OTmMHj0agNzc3D6f4h5vma7MlKrC9ed6fZk2bVqPk+gLCwu7\nDX966623Or6+6667Or6++uqruxw3ZsyYbtuOxdSpU3sc1tNZe9AfrvM/AuPxOG63m/POO49Fixax\nZ88eWlsTMfPaa6+xefNmpk+fPqhPWodLFpZlu4HEqBu7TWFpMDVE47J0lUiNZKFk4fEiWdizkzkL\nD5dKwZyfKKU6v8fVwC7gQa111RHO+xTwZ+CcTtuCWut7AJRSdwJ3A9/t7QJFWYnAjJuJoTlxS0uJ\ncnFCyM3NZfLkyTz11FOsW7cOpRSf+cxnWLhwIW+++Wav502YMKHXfWeccQarVq3qcxK1ZVk8/PDD\nXZ5E9qeoht1uR2tNS0sLfr+fUaNGdey76KKLWL16dcrXStWJUPSjr3WoxNFbu3Ytq1at4te//jU5\nOTk899xzANx6660sX76ca665ZkCLB6RoyLKwIDORhYZp4bQpoqZOVFyVLBTDnGRh/0gWntpOkCxM\nqfP4O+B1YDcwFpgOvA3cB/y/3k7SWq9QSs06bNs9nT7aSDx17VWBN/GkyDQtHDaV7DxaRAx52iqG\nv6uuuoqPP/644+nQlVdeybZt28jPzwe6DrdYsmRJl8nPnfd1nhNSWVnZ7RfHsmXL8Pl8LF26lMLC\nQqqqqpgzZw5f/epXgcQcgH379rFs2TK++c1v4vf7efbZZ9m8eTPr1q1j48aN+Hw+Fi9ezF133cX0\n6dN5/vnnueOOO7j55pu7BGZ/bdy4keeee45wOMzixYu5/vrrKS0t7XJMe/tef/112tra8Pl8LFu2\njLPOOovNmzfz7LPPUlZWxtq1a6msrOSiiy5i5cqVtLS0sGPHjm6ltcWJZ+bMmcycObPHfdddd93g\nNqZ3Q56FhmlhVwrQxE1ZukqcGCQLJQtFak6QLER1rjLV4wFK3au1/kGnz/drrR9USt2utV7Sx7mz\ngCVa62mHbc8BXgS+pLVuPvy8iooKXVhYiNawrdYPQH6mm/OvnMeXr/kXziz2MnlkVqrfozjFbN26\nlYkTJw51M4QQw0BDQwOVlZUsWrSoy/YNGzbs01qPTvU6Q5mFkMhCrSHP62L6VfP54v+9jjMKvUyt\nGPbLVYohIlkohGh3vLIQUnvzeL5SahqwExgPTE8WERjXnxu1U0plAz8FvtlTWEJiDPP69esBmPHD\ntUQNiy9fUA52JYsjCyGESFlhYSGlpaUdmdJOKdXYz0sNaRZe8cTf8YXjzJ06gjS3Xd48CiGESNlx\nzEJSmW15P/AzEiXKnyIxRGcy8Pf+3kwpVUAiLBdprfcopb7U03Faw4GmRGWhzLRE/9YfTVYYMrXM\n8xBCCDHYhiQL9zUksjA7PVE8wx9OVNlLzHmUKRxCCCEGV5+dR631h1rr6VrrDK31dGCv1nqj1vq5\nI52nlLoE+BpQqpS6RynlAV4jEbbPK6XeAK7r6dwtB1v53rJ/AJCbkZjr0dYRmJqoYdLXcFshhBDi\neBmaLPTxLz9bh9aa/B6yMGZqLEuyUAghxODpc9hqcljObKAwuWku8OW+ztNavwkcXkrrvFQaZWl4\nZ0cju+v8FHhdfFIHbWGDESSetppWYs1Hp334V6USQghx4huKLATNloM+Nu1roSgz2Xk8bN3jqGHh\nccm6x0IIIQZHKnMe/4vEelQTgX8AeQPaIiAnOTznd3/fS3FyuY62cHLYantgxhPLdwghhBCDYNCz\nMNfrwgJ++/ZeRo/MAQ51HmOm1bHusXQehRBCDJZUel97tNbfB17XWt8NvDrAbSIvuabVH9btoyQz\nDYBANI5CY1gaKxmYQgghxCAZ/Cz0JrLwxff3U5gcthqOmrjsCg0YWtY9FkIIMbhSefNYkvy7QCk1\nErh4ANsDQIbbQX5JJjtr/TS0JIoFxOIWaQ47YcMibknRHDF83XbbbfzqV7/iJz/5Cddeey1bt27l\n0ksvpaamBqUUjz32GK+//jqLFy/mZz/7Ga+99hoLFizoOP/dd9/lN7/5DYsWLeq2b/fu3fzmN7/p\ncr+lS5eyaNEirrnmGgoLC6mpqeHTn/408+bN67WNy5YtIxgM8t3vfrejzfn5+bz33nssWrQIwzCY\nNWvWMf8sNm7cyE9/+lPGjBlDfX09S5YsweFI5deOEMPOoGdhmtPOeWPy+GBPMzurfUBi3WOXzUbM\nNBMF5GTdYzFMSRYeIlkoTipa6yP+AW4ErgQuA5qBh/s651j/nHbaafqiz3xZeyZ8Wl9w3b/r8x9e\no2f8x1r983X79A/X7NJ//KBa76wPaCF6smXLliG9v2EYOj8/X9fU1GittV6yZIkeO3asfu+997TW\nWr/00kv6rbfe0lprvWbNGj116tQu5//hD3/odd+f//znHu9ZUVGhKysrO+5/zTXX6CVLlhyxnZZl\ndXw9ZswYrbXWsVhM/+pXv9L3339/Kt9qn9efNGlSx8/htttu088888wxX1ecmJ5++mkN6DVr1nRs\ne+qppzSgX3vttQG9d/vvhL/85S/6hhtu0DfccIMGPtH9yKWhysJZV83Tngmf1ude+wN9/sNr9MU/\nfFP/VzIL/3tDld5a4x/IH504gUkWShaK4edEz0Ktdd9vHrXWT3f6mKeUKuz14OMkOzubl/77N5y7\n6GUOaCgxLEy7jfZZHfLmUaSq5IYVA3Ld2l9c3es+u93O7Nmzefnll7n++uupqqri61//OqtWrWL6\n9Om8++67LF68uMdzv/Od7/DUU0/1uO/GG2/k6aef7nHf4fe/9957mTVrFgsXLmTevHns3r2bSy65\nhHXr1jFnzhx2794NwPLly3nyySdpbm7mgQce4LLLLuOll16itbWVBx54gBtvvJGSkpKOa7/zzjs8\n+OCD3e7p8Xh48cUXu2zbvXs34XC44/yLL76Y5557juuvv77LcfPmzWPXrl1ccsklbNmyhenTp/Pg\ngw+ycuVKbr31VubPn09tbS07duzg+9//PqtXr2bTpk387ne/o6Kios+fx/ES2rgJs63tuF3PnpVF\n+jlTjnjM2rVrue+++9izZw+ffPIJLperY9+dd97Js88+y0MPPcS3vvWt49auo1FbW8s999zDpk2b\n+Mc//tHjMZWVlUyZMoVt27Yxa9YsQqEQzzzzDIWFhUyePHlQ2jl37lzmzp0LwC9+8Qtff84dqiz8\nyx+eZfLtq6iOmZTGTWy2Q4XiZOkqkSrJQsnC40WysHenQhZCatVWvcAVQGb7PUmhwtyxKsxK44qz\nS/nrxmpCoSgOpw0zWSwnblqEZX0rMYxdddVV/OEPf+Dqq68mJyeHz372syxYsICHHnoIrTV2+6EC\nFwcOHOCWW24BYM+ePV2u03lffX19yvevqKigrq6OWCzGY489xsUXX8wjjzxCJBKhpqaG6upqli9f\nDsD3vvc9Hn/8cR544AEgEXR79+7t+NzZhRdeyCuvvJJSG+rr68nMzOz4nJWV1eP38NhjjzFjxgx+\n+MMfAjBq1CgefPBB5s6dywsvvMCYMWNYvHgxt9xyCxs3buTnP/85TzzxBCtWrGDhwoUp/0yOldnW\nhiPv+NVIMZp7XBe+i5kzZ3YJl5tuuglI/Gzff/99ysrKhjwsAd5++20+97nPsXHjxl6P2bx5M/Pn\nz2fbtm0APPnkk3z5y1/mySefpLi4eLCaetSGKgszPU7+edpIfr9uH+FgFKfTTjQ5VDVuSRaK4U2y\nULKwL5KFJ1YWQmpzHlcBG4GW5OcBrzDXbuq4fP66sRrLsNCajpCMW5pQTJ62ir4d6anoQJozZw7f\n/va3WblyJbNnz2bq1KnU1tby6quvcvbZZ3c5try8nB/96EcAbN++vdd97b9oUrFv3z6Ki4s7ns6d\ndtppOJ1OnE4nmZmZVFdXH9X3tW7dOu67775u2z0eDytXruyyraioCL/f3/G5ra2NoqKiHq87duzY\njn9EOJ3OLvvGjRsHQE5ODqNHjwYgNzeXvXv3HtX3cCK67777uOmmm7j++utxu9387Gc/46abbuKx\nxx4DIBAIMG/ePGbOnMn27du55ppruPzyy9m+fTuPPvooZ599Nh9++CH33nsvWutu28aPH9/lfldf\nfTWBQKBbO+655x4+9alPddt+9dVX88Ybbxzxe9i6dSvLly/npptuorW1ld///vc88cQT/O1vfzv6\nH8zgGrIsnDYun9+v25dYx4pE9XGXy57MQuk8ir5JFkoWngwkC4eHVDqPO7XWt7R/UEqdPoDt6aIs\n15O4J4nAbA0ZeNMdiaetMRNLa2xK1noUw09ubi6TJ0/mqaeeYt26dSil+MxnPsPChQt5883Dl3w7\nZMKECb3uO+OMM1i1ahVXXXXVEe9tWRYPP/xwlyeRqh//n9jtdrTWtLS04Pf7GTVqVMe+iy66iNWr\nV6d0nbFjx+LxeKitraWkpIS///3vXHnllT0e25/2nYrOOussLrzwQpYuXcpXvvIVbDYbhYWHRk3a\nbDZuvfVWLr/8cpqbm5k9ezaXX345f/3rX3G5XHznO9+hqqqKtLQ0fv/733fbdrgVK47vELcDBw6Q\nn5/P2LFjqa+v5z/+4z/47ne/y44dOzr+Abl8+XIKCgr6/O97CA1ZFpYmsxAr8dDUF4pT6LJjWBZx\nUxM3ZekqMTxJFkoWHk+ShcNDKp3HV5VS/wLsSn7+GnDDwDXpkPbOo2UmOo++cAxvugPD0mggErdI\nl/WtxDB11VVX8fHHH2OzJf5Rd+WVV7Jt2zby8/MBaGho4Nlnn6WmpoYlS5Zw++23d5zbeV/nOSGV\nlZXdfqEsW7YMn8/H0qVLKSwspKqqijlz5vDVr34VgGeeeYZ9+/axbNkyvvnNb+L3+3n22WfZvHkz\n69atY+PGjfh8PhYvXsxdd93F9OnTef7557njjju4+eabuwRmfyileO6557j77rupqKjANE2+8Y1v\ndDuuvX2vv/46bW1t+Hw+li1bxllnncXmzZt59tlnKSsrY+3atVRWVnLRRRexcuVKWlpa2LFjR7cn\nhSer+++/n9mzZ7N//37uvPNOPvroo459WmveeOMN3nnnHZxOJw0NDQDccMMNPProo8yYMYMJEybw\n+OOP97jtcJ///Od7fNp6//33M2PGjH63vbKysiMYMzMzeeWVV3j//fe55ZZbOO+887oc2zk458+f\nz5w5c1izZg1nnnkmdru9y/8ng2zIsnBEbjoAhpnoPLaG4xTmpHWsexyKmWR7pPMohifJQsnC40my\ncMizEKUTVeR6P0Cp/wGiQGty09la62kD2ahp06bp9evXs78xyPS7/orH7aCwLIczy3OYVJ6Fw6aY\nmO9lakU2hV5X3xcUp5StW7cyceLEoW6GOMn417513Od5ZM7sO3weeOABrrvuOkaPHs1Xv/pVRo8e\nzcMPP8wbb7zB7bffzvr16/nxj3/Mpk2bWLZsGbFYjPHjx7N3717+9re/ccEFF5CRkcEdd9xBaWkp\n55xzTrdtt9122zF/P53bc7hHH32UWCzGfffdx6pVq8jPz+fCCy9k1qxZLFmyhGnTpnUEZWNjY7fA\ndDgcXHvttcyfP5/f/va3Hf8ITVVPvxOUUhv6k2VDmYW+UIwJ3/8LDruN0vJcxpZkMm1cHgqYVODl\nnPIsSrO7PzUXpzbJQjEQJAuP7GTPQkjtzWOj1vrrnW5ybn9ucDR8Ph8LFizAtDTRA/moUdPQWuML\nx3DYFIalMbUmFDXBO9CtEUKIobF+/XrWrl1LIBDgkUce4fnnnwe6Po1//vnnmT17NitWrOCOO+4g\nLy8Pn8/HCy+8gNaa2267jbFjx9LQ0MBNN93Ehg0bum07Vm+++WaXtwMLFy7E4/F07K+srORLX/oS\nQJe3BVu2bGHSpEldruV2uzEMA4BgMLHOb/vneDx+TO1cuXJl5/lI2f08fciyUGsN1UUYZeeiLU1b\n2MDjsBE2LAyZ9yiEOMlJFg6rLEzpzeNC4AMODdW5Tmv9UH9v1B/tT1sBJt++inpfhLLyXApz0/nC\ntDL8UZPTc9OZUOxlYon0HkVX8rRVDIShKE9+KvnFL37B6NGjmTRpEosWLWLq1Kn86U9/4vrrr+e1\n116jpKSE4uJi7rzzzn5f+zi9eRzSLJxx36t8UuOnZEQOBbnpzP8/5bSE44zNSWd8YQZnj8js42ri\nVCNZKAaCZOHAGu5ZCKm9ebwd6FzaahQwoIHZWVmuh3pfBNOwMEwLZ3KNK6kyJ4QYTBJuA2ft2rWs\nWrWKX//61+Tk5PDcc88BcOutt7J8+XKuueaa4VA8YMiz8JMaf0cWti/3GDctyUIhxKCRLBw4J0gW\nptR5vEtrvbz9g1Lq8oFrTncj8tLZuLcFw7AwTI0i2XmUwBRCiJPCzJkzmTlzZo/7rrvuusFtTO+G\nNAvL2ovmGCamqWkfNCQPUoUQ4uRwgmQhPc60VErZlFLjADqHZfLzaqVUmlKqfBDa11Fx1TRNDNPC\nTFaXaw/MvobdCiGEEEdjWGVhXjILk28ejWQVcsOyiCbnPgohhBADrcfOo9baAq5XSl2rlOqYSKmU\nsiulLgR+yaGKcwOqfX0rw7AwTaujNLmpE09eI3FrMJohhBDiFDOcsrB9uQ4z+RA1HE+8bUz2IQnL\n20chhBCD4Eg1Xu8BKoCPlFJ+pVQLiZD8LrBIa+0fjAaW5SUC0zItLA2BSKLSUPtT1lBcAlMIIcSA\nGRZZ2P4glWT2tYZiAMStxANUGboqhBBiMPQ65zH5xPVh4GGlVBbgJlGqfFDHxow4LDCbgzHys9xE\njGRgRk3yMwazRUIIIU4VwyULOz9IBWgKxMnwOAnHE9M3pPMohBBiMKRSMAet9fGryZuC9rWtyztj\nGAAAIABJREFUAC6a9U9AYtgqQGMgRlG2m6hpYUlgil5orVFKDXUzhBBDrHMf71jXthrKLLx89mcA\niCY7i42BGBNKvR1rPQYlC0UPJAuFEHB8s7DPdR6HQue1rQzTYtS3/4SloXx0PiOLvFw5uZiWsMFp\nuemMzvVw7qh+f9/iJLZnzx4yMzPJz8+X0BTiFKa1pqmpCb/fz5gxY7rsO5q1rQZb5ywEGP+9P9MW\njjNiVB4lBRl85fwR1AdijMn2MCrXw/TROUPYWjHcSBYKIeD4Z2FKbx6HksNuozjbQ01rGNOwiMYt\nMlwOWsIGMVmuQ/Rg5MiRHDx4kIaGhqFuihBiiKWlpTFy5MihbsZxUZbnoa0qnqy4qnHbE2ULJAtF\nTyQLhRDtjmcW9tl5VEqdBviBOPB14EWt9b7jcvcUleUlOo+GaWEYFvbkE7SYaRFKDuGRp2qindPp\n7PZkRQghjsVwyMLSXA/bqtowTBPDsLB1ZKEmErewLI3NJlkoEiQLhRAD4UjVVtvdC3iAx4Ey4P5U\nLqyUKlFKPaOU+kcP++5WSjWm2sj2KnOmkVjrEQ6t9WhaEDOG39BbIYQQJ5Uhz8KO5TqSaz22r3ts\n6GQBOak+LoQQYoCl0nn8EKgCztBaLwK2pXjtTwF/Bro8BlVKzQLy+tHGboF5aHHkxN++SLw/lxNC\nCCH6a8izsCyv/UFqIgtjycqr7esf+8JGfy4nhBBC9FsqncfJwJPAa0opDzA2lQtrrVeQGOLTQSlV\nDMwDftKfRrYHppEMzPZlOqLJ4Kz3x/pzOSGEEKK/hj4Lkw9S27MwnJznGDYstNY0SBYKIYQYYKkU\nzHkU+AywFPg/wP8ezY2UUjbg34Hb6aMsbENDA9OmHSr84wvFaGoIYkyeQ96nv4wvYmBTEDESy3U0\n+GMy71EIIUQ3S5cuZenSpT3tKujnpYY8CwOROE11AeJnz6bg8q/QEIiRm+HsWK6jMRDD0rpjLqQQ\nQggBxzUL++48aq13KKXSgIuA7SSG7RyN80gUGvh/QC7gUUr9K/CC1vqTzgcWFhbSuTz5hl1NXPno\nGtLSEs2t9UUZX5xBcziOBqKGhT9ikOVxHmXThBBCnIwWLFjQsVZiZ/2ZawjDIwt31vr51L2v4nbZ\nAajxRRlTkE7YH8VmVxiWpiUUJz/DdZRNE0IIcTI6XlkIqVVbvQP4LLAfWA58F7izvzfSWq8H1iev\nORq4Xmv9aCrnluUdmvMIUNcW4YIxOTSH47idNgxDU++PSedRCCHEgBgWWZgsHhdPVhlvCETJ8Tio\n8Udx2RWmmZjGIZ1HIYQQAyWVOY9erfWlwBat9RqgNZULK6UuAb4GlCql7knOEWkvd/4dEk9b71FK\nZfR1raLsNBx2RdxIlCJvDcXxuhNPXlXyO2gIyFwPIYQQA2bIszDd7SA3w4WlwTI1kZiJ25HIQit5\njMx7FEIIMZBSmfNoT/7dvh6GN5ULa63fBN7sYftOEnM9bk/lOgB2m2JEXjr7GoIdy3V0XuvRrhS+\nsEE0buF2ptIfFkIIIfplyLMQoLwgg5ZgDCOZhe2JFzFMvA4HoZhJMGqQ4U4l3oUQQoj+SaWnZSql\nXgGuUkqtAIID3KYejS5MPJRNVJnTHfHtixgdQ3QaAtGhaJoQQoiT37DIwoqC9iw0MUzdsdZja8Sg\nwJvIQqlALoQQYqCkUjDnfqXUP5EoU75Ja31UFeaOVUWBF6jHiCeetsaTaz22hOIUjnLREIhR748x\nMjknRAghhDhehksWji5Kdh7jieU6oslaAC2hOIVeJzW+KPX+GGMK0oeieUIIIU5yKY1r0Vq/BrwG\noJSap7X+/YC2qgejCjs9bTUsQjETm4JAzCQ3PfFtNARixE0Lp12GrgohhDi+hkMWdn3zaOGLGKQ5\nbEQMi3S3HaUSHclI3CTNae/jakIIIUT/9Np5VEr9Vmt9jVJqD4fmeCggCxjQwPT5fB3lZOfOncvc\nuXMPG7Zq0RSKk53mpCUcJ2xY5Gc4aQrGqfFFGZUnbx+FEEJ0tXLlSlauXNn+8YhrLLYbflmYmGpp\nxBMPUpuCcfK9Tmr8UfxRk6JMF3VtMapbo4wtlLePQgghujqaLOxMaa173qHU+OS6Vt/VWv+k0/Zv\na61/flStTdG0adN057WtACr3t3DFD17H6bQzojyXq6aOZMqITLY1BPmn8QUUpLuorPKTk+7g/4zJ\nHcjmCSGEOMEppTZoraelcNywysL9jUGm3/VX7HYbI0blcdnZJVw2Pp9NNX4uGZvH6BwPHxxow+u2\nc/G4XFSyuJwQQghxuFSzsLNe3zxqrXckv3yv0w0mAwNelaYhEOWJ/93RZVs0bmJPs2Mp8IWivLG1\nmjZ/DnuaQ+ytaWVsfgZ7G0NYwNrtdTJ0VQghxDEbyizsSVmuB4ddYZiJpauqWiOUZrnZVOOnqi3C\ntJHZOO2KQNTEHzFk/WMhhBDHVSpzHucA7wNorTcrpb46sE2CNIedyycWd9u+fPUn+EJxXHY7bpeb\nT08sZvUnjWS7HfzTmSXsqA/QGIhTnptGuRTOEUIIcfwMehb2xGG3UZ6fwZ76AKZhEoqZeF2JKK/2\nRVEKSrPd7G+OUOWLSudRCCHEcXWkOY/fAK4DKpRSs9o3A5GBb1bPSnI8+EJxDMPENC20TqwB6Ysa\nRA2Twkw3jYE4DYEYI3PTUMhwHSGEEEdvOGZhRUGi89heAyAcN/E4bYTiJr6IQVl2GvubI9T4Ikwo\nzsAmQ1eFEEIcJ0d68/gS8AawAFia3GYCNQPcpl6V5qazvboNMxmYLeE4Beku6gJRGoJxyrLduOyK\nSNwiEDHJTJNFkoUQQhyTYZeFHdXHk0tX1fljlGWlsaspRHVbhIlFXtJddkIxk6ZAnMJM11A1VQgh\nxEmm14mBWmuf1nqf1vru5N/7tNYHgfMHsX1dlOamAWCYFqalaQrGKMhIDMlpCESxocjPSIRkcyg+\nVM0UQghxkhiOWdhefTyeXLqq1h+lLMsNQJUvilKK0uzE5wb/kEzNFEIIcZI60rDVm7XWP1VKLeu8\nGTgb6FdVnuOlNCcxjzHx5lHTGIwzJj8d6gI0BGMA5GQ4qWmL0hqKUyFLdgghhDgGwzELKzov12Fq\nav1RPjU2UWW8ui0xmrbQ62JXQ4iGQGwomiiEEOIkdaRxnaHk3wpY3mn71wasNUnBYJCHH14MwIyZ\nM5k5YyYApckiOKaZGKrTHIpR6E28aWwMxrC0JivNgU1BMGYSMy1cUnVVCCEEsPattby1dm37x1TX\nthqyLOxpnUdIzHmExIPUuGFS1xajONONAhoCMWKGRbbHgdOuCMctglGTDLd9oJsrhBDiBHCs6zwe\naamOXyW/fEFr/Wb7dqXUhv7epL8yMjK4++57um0vyUkseGyaFnHDojkYx+Owk+l24I8atITj5Ke7\nyExz4Asb+MJxCr3ugW6uEEKIE8DMGYceRv7+6SW+VM4ZyizMzs5m6dKl3bZXtM95NEyiMZNafwSH\nTVHkdVEXiFHrjzIq10N+hovatiiNgRgZbhmJI4QQouvDyF/84hcpZWFnqbyWu18p9a9KqUIArXWg\nvzc5Xgqy3DjtNixTYxgWbRGDiGF2efsIkJssTd4q8x6FEEIcH8MmCzM9TvK8LrROzHuMxC1aQnHK\nshN1AaqSQ1cL2rNRhq4KIYQ4TlLpPH4PeA64SSn1n0qpIZnjAWBXiuKc9qI5iaGrTcE4hckiOR3z\nHtMTL1RbQwYaPTSNFUIIcTIZNlkInd8+WsTiJrX+KCOyEvlY7UsUySnwJh6kNodiWJZkoRBCiGOX\nSufxQLKy3BvAeOC3A9qiPpTmJoeuGsmhq53mPda0RdFoPC47bocibmmCUXMomyuEEOLkMKyycHSn\nojkxw6K2LcaI5JvHg74wpqVJc9rxuu2YFrTISBwhhBDHQSqdx+eUUh8Ci4CfAxMGtklHVpp882ia\nFvHkm8dcj5N0p51w3KQ5FEehyGkfuho2hrK5QgghTg7DKgvbi+YYhkksblLnj5KV5qAg3UnM1Bz0\nydBVIYQQx18qncco8GWt9ZVa6//RWg/p2Jcuy3UYJk3JzuLIjieuicDMSZd5j0IIIY6bYZWFo9qH\nrcYPDVsFGJufGJ2zqykIcKgmgHQehRBCHAdHWqqj3f/VWje3f1BKzdZavzqAbep1qQ6A8k5PW+OG\npik5z3FkjocdjUEO+iJMKc0i25P41vwRA1Nr7EoNZJOFEEIMc0e5VEe7Qc/C3pbqABhfmgVAPG4Q\nN6yOzuO4ggzeP+BjV2OIS8dpctOd2BT4oyZRw8LtkOWrhBDiVDZgS3UopX6otV4EvKCUan/CqoBR\nwLj+3qg/eluqA2Bsced5HmZHhdWSTBd2m6IpGCMUN0h3Oshw2QnGTPwRo2MYqxBCiFPT0SzVMZRZ\n2NtSHQBnjEh2HmOJYau1viiWpSnLcpPmsNEaSSxflZfuIjfdSVMwTkswTkm2LF8lhBCnsmNdquNI\nbx5fSf79AfBkp+039fcmx1N+ppssj5O2cBzTtPBHDMKGicdhpzTTzUFfhCpfhNMLvGR7HARjJm1h\n6TwKIYQ4KkOWhQ2BKE/8745e9+fne2gNxmgLRfikuoVH/rqVdJeDTxoDNARi1Df5Kcvy0ByM0RyK\ns3aHQ9Y+FkIIcUx67Txqrf+W/HKp1nofgFJqPPC33s4ZDArFmGIvm/a2YMQTFVfr/VEqctMZkZPG\nQV+Eg8nOY2aaA3xR2iJSNEcIIUT/DWUWpjnsXD6xuNf9f/+olr9vb0BZ4PW4mFCazYQiL6e1ZLJ2\ndzPFXjeXTyjEF4nzcXWADJeNKSP7PUJJCCGE6JDKnMd5wEPJr/cB3wX6nOehlCoBFgNTtNbnJ7e5\ngIVAAJgENGmt7z783IhhsnprXa/Xdrkd2Jw2InGD5rYwKzfVcEaxl5hhsrfez/6GAPGogdawpymE\nAmp8QRQy71EIIcRRGfQs7MuYYi9/397Q8SB1d3OYCUVeSjPdKKA+ECVqmHjdDmwKgrFElXKnXeY9\nCiGEODpHmvP4OeDzwBSl1OjkZhswIsVrfwr4M3BOp213Am9qrdcm7zG5pxMLvW5uvWJ8rxcu9jh5\nf0s92E1yvR7Ki7K49YrTAPj1+oPUB2J84ewSxuan8/edzfijJtNHZ5OX4Uqx6UIIIU5mt6V43FBm\nYV/GFmUCYMQNDMNid2MQKMTtsFOU6abOH6WqLcrYvHS8bgdtEYO2iEG+ZKEQQoijdKQ3jxuBVuA6\n4NfJbSbwcSoX1lqvUErNOmzzNcB+pdR5QD7wk/40tt2ZyWE38ViiaM7OxhARwyTNYef0ggzqAzG2\n1PkZm59OboYLfzRMczAunUchhBD9NWyzcEyygFzcsDBMi1p/jGDMIMPloCLHQ50/yp7mEGPz0sny\nSOdRCCHEset17IrWep/W+k1ggdb6zeSft4HeJ2D0bXTi0vpHwJvAH47mIhPKsrEpiMdNjLiFYWl2\n1CfWtJpUkgjTTxpDROImeRmJQjnNst6jEEKIfhrOWVia4yHNaccyLWIxE601u5tCiRvkebApqPZF\nCMUNstMSz4rbwlIDQAghxNE70rDVq7TWq4C7VNc1EmcClx/l/dqA95Jfvw3MUErZtdZm54MaGhqY\nNm1at5MXLFjAggUL8LjsjC3OZGetn0AohmVpPq4NMLksi+w0J6Ny0tjfGmF7Q5CJRYnOZGsojmVp\nbDaZ9yiEEKeKpUuX9rbcRUEq5w9lFvp8Pr72tWu7nfyFL36RL37hi9hUooDc1oM+ojED00p0Hs8u\nzSLNYWdkdiILdzeFmVjsRQHBmIlhWThsMu9RCCFOFX968U+8+Kc/9bQrpSzs7EjDVs8HVgHnAi91\n2t7a35t08jowFtgOVAC7Dg9LgMLCQtavX3/EC505MpudtX5iMYNo3OSjmkDHvrNKMtnfGuGjWj9T\nyrLIcNsJRk18EYPcdFmyQwghThXtDx0Pp5RqTPESQ5aF2dnZPPvsc0e80NiiROcxHjeJGxY7G8Md\n+8blZ7C/NcKupiCTSrx43Xb8UZO2iEFeugxdFUKIU8UXv5B46Hi4yeU5qWZhhyMt1XF/8svvaa0P\ntG9XSr2eyoWVUpcAXwNKlVL3AP8J3AE8qJQ6B5gIdH+kmqJJI7P5y/qDxGMG4Uic/S1h/BGDzDQH\npxdm4Pykkeq2KM2hGHnpToJRk8ZATDqPQgghUjbcs3BMR9Eck1jcpDUcT+aei7LsNNIcdnwRg6Zg\njCyPA3/UxBeSzqMQQoijk8pSHf+slNoApAOPAz8Clvd1UnKOyJuHba4CvtXnHQP1sOaRIx5yZZuf\nqPcADpudPJ8Hr+Gm9ZVsMrPTcAGfbQxSH4jR1pzG6AwXztYIdpsNKz8xD0QIIYToh8HPwhSMbS+a\nEzeJRA2yMlzsbgqRl+7CrhRj8z1sqQuwqynMmUVeqlqj1AdijMpLwy5DV4UQQvRTKp3HEVrrnyql\n/kaiQtx1A9skwJkGE+Yc8ZDMkgir3/o7triiMDuLMrcXZ3oe5ROKAMgui/LujkZqnHa+OKmYYJWf\ncNzCW5hOUaY8cRVCiFPbv/X3hMHPwhSMKUx0Hk3DJBwziRkWu5rCTCvPAWBsfjpb6gLsaQ4xrTyb\nzDQ7/ohJnT9GWXbaUDZdCCHECSiVx44+pVQpENFabwH6PTZ2IBRlpeFNc2BZGsvUhKMGO+qDWDq5\n3+vG67ITjpvUBw6FZFVrBK2HsOFCCCFORMMyCzPSHBTnpKF1sgMZMdjZGMS0LADyPC7y0p3ETIsq\nX6QjC2t8ESwkDIUQQvRPKp3HkcA7wH8ppS4mUTxgyCmVWLIDIBo1iMUTBXGqWiMd+8fkpQOwtyVM\nodeF064Ixy1apVS5EEKI/hmWWQhwRkcWxonFTSJxi13NoY79Y3ITWbinOURehpM0p42ooWkOxIak\nvUIIIU5cfQ5b1Vp/Vyl1r9a6VSmVDdw80I0KBoMsfvhhAGbOmMnMmTN6PG7mxCI27G4iEo4Rjriw\nLIuPagOU5yaerI7OS6ey1s/eljDnl+dQmuVmf0uE6tYIOR4vSuY+CiHEKWPt2rdY+9ba9o/Z/Tl3\nqLLw4YcXAzBj5kxmzpjZ43GXnFnMm1vqiIXjhGMGhmnxcU2A8QWJIa2j8zxsqPJxsDVC3NSUZbvZ\n3Rim2hcl3+tCIWEohBCnirVvreWttUeXhQBK9zGGUyUWtjoHyExu+prW+ob+3qg/pp09Xq9/9fd9\nHucPG8z/0VvETYvC4mwK8zyMyEvn9lljOjqGK7fU0xKOM2tcPqVZbjbs82FpyHTbGV3gIdOdyrRP\nIYQQJxM14rwNWuvuCwr3dvwQZOGEs87RK145vNZOd1HDZP4TawlGTQqKMinMy6A4J407Pz0OezIM\nX93eQF0gysUVuYzOT2fDPh+GpclwJbIwO00qkQshxKlmcnlOv7IQUhu2uhL4AfAvyT/nHkXbBkSm\nx8H54/IBiIRjxOMmvrDBQV+k45jReYeG6zhtivFFGTjt4I+aVFYF2NUQwrCGpPlCCCFOHMM2C90O\nO5+aWAxAOBwnbhiE4xZ7mjoNXc33ALC7JYxdKcYXZ+B2KIIxk4+rA3xSH8CwJAyFEEIcWSqv3Xxa\n66+2f1BKDZvABLj0rBLW7WggEo4RCMfJ9rr5qCZAeU5i6OqYPA8fJofrxExNXoaTLE82B1sj1LRG\nqfPH8IUNTi9KJzNN3kIKIYTo0aBnYcQwWb21LqVjc7Pc2Jw2onGDRl8ES2v+9GEV541MjEgyTIu9\nDX721vsxojGcdjsaTUswTksojgYcNkVxlguPU7JQCCFEz1JJiPVKqdO01juTn6cAHw5gm/rlgtML\n8DgTVVXjcYtgOM6W2gBzzihAKfC67BR53dQHouxvCXNaQToOm2J0nodCr4sddUHCcYuPqgNU5KdR\nmpUmcyGFEEIcbtCzsNDr5tYrxqd0rGlpVm+ooqEtiis7naz0NDK8Hr736dOxJxc3frGylp1NIS4d\nl9exlAdAIGpQWeXHlywmd1phOuMK01EShkIIcVK77SjOSWXY6kPAa0qp3UqpPcB/HsV9Bkya08bF\nExNrO0bCMUJRg+ZwjKq2Q0NXxyWH61TW+uk8KifDZWfKiCxKs91oYG9ThJ0NQUwZuSOEEKKrYZ2F\ndpvic+eXAxAKRAmEYvgjBlvrAh3HTCpJTNf8xwEf8U5B53U7uGBMDuMKE9M8djaE2HiwDcOUpTyE\nEEJ0lcqbxwe11kvaPyilrh7A9hyVSycVs3pzDZFwnEjMIG5YbK0LMDK5ntXYvAw+qvXjjxrsbAoy\nvjCj41ybLTEXxOu2s7M+REMgTijm57SidDJc9qH6loQQQgwvg5+FgXpY80jKh9/kCpPl3YNNQWbI\nQ3a9m/jrXhiRBcDpwOXVbQRjJrX1HsqTGQmJJ8mnA6Uxk7q2KKalqXLYKMp04XFKFgohhEhIZamO\nJUqpAqAE2Ku1XjHwzeqf88bkU5rroaYlTDRsEAzF2VYX5IrxBQDYbXBOWTZv7WlmU42fMfnpOG1d\nh+MUehMBub0uQDBmsvmgn/LcNEbkyDBWIYQ41Q1JFjrTYMKclA8v1bD3o/fZWesny5VOQUYGB8jk\nnPGJCuQKKCqN8PonTRyw2/jiuGLcjq4DkLyALWayvTZIo2FRDYzISWNkThq2VMYqCSGEOIH8W7/P\n6LPzqJS6FrgbqAR+q5SapLV+uP+NS12q6zy2s9vg8+eP4uevbScYiJCe4aLWH6U5FCcvPVF+fHSu\nh49rnTSHEx3Ls0u93a7jdduZMjKLvU1h6v0x9rdEaIsYnF6c0a2zKYQQ4sRyLOs8nghZqBR8Yfoo\n/uMvHxMKRAmlO2kJx6luizAi+ZaxLDONkkw3tf4oH9X6mTqy+48h3WVn8sgs9jeHqWmLcrA1gi9i\nMKE4A5ddslAIIU5kx5KFkNo6j/+htb5DKXWn1voxpdQ9WuvFR9HWlKW6zmNn4ZjJNT9+m2DUIK/Q\nS1lhJlefW8ZFYw4VBahui7D6kyZsSjEyJ42R2WmMyvH0GIYtISNZuhzSHDbOKMkgXYaxCiHESeEo\n1nk8IbIwbmq+9pO/0xyIkpufQUlRJv98dgmfHp/fcUxDMMZftzWgFIzMSrxVLM/xkObo/mrRFzbY\nUR8kbmpcDsUZxV68bslCIYQ4GfQ3CyG1gjm+5N/tvcxhmRoel53PnjcCSBYLCMfYWh/ockxZVhrj\n8tOxtGZ/S5h1e1tYsamGd/a10hIyuhybm+7g7BFZpDttRAyLj6r9hGLmoH0/QgghhpUTIguddsXn\npo0EIBiIJqZxHJaFhRkuJhZ50RoO+CK8s6+VFzbX8vaeFhqD8S7HZnscTB6RiddtJ2ZoPqpO1A8Q\nQghxakql81islHoauFgptYTElIhh6XPnj8SmFJFwnGAozq6GYLcO38Wjc/nCWcWcX55NkdeNoTWf\nNAZZtbWOA62RLsd6nDbOGpFFrseBYcGW2gBRQ0qxCiHEKeiEycLPnjcCl8NOLGoQCsfY3xzu9oD0\n/PJsvnR2CReU51Ca6cbUmt3NIf5nWz27mkJdjnU7bEwqzSQ/w4mlYVttgHBcslAIIU5FqVRbvQW4\nHpgMbAd+OaAtAohHYPsr/T6tCLh5zEG2VrXhijjIb0mn4YMtVOR6uhyXCUxM/gm6Tap8YeoDcaqa\nFfmlmaR3qiznAMZrqGoNE4lb1FbbGJmThl2q6AghxKlk8LPwKGWnO7licgkvf1BF0B8lkB1nW0OA\nCytyuhyX4bIzoSiDCUUZtEUMttQH2NEQ5L19reSlu8j1HPongt0GpxdmYJgBfBGDbTUBzhqRiVPm\nQAohxCkllWqrJrBUKZWb/Dzwjxu9RXDpXUd16rjTW7nhwdWoIIzKzKc5fzTfv2RMr8dnAKdrzccf\n1bGzKcQOr4trzi3DYT/0UtYOlBgW7+5pJRQzafA6OW9UNjbpQAohxAmqfxXmhiQLj8FXLhzN/3xY\nTTgcw+ePsrWme+exs6w0BxeU52CYiTeQb+5u4sozirp0Dm02GF+SwcdVfkJxi221Ac4szcQuVViF\nEOKU0euvfKXUI0qpnyW/ng0cBD5RSl0/WI07GmeOzOEz55ShNTQ3BXlndwuxPoaaKqX4zBmFZKc5\nqAvEeGN3c7djXA4b0yqycdkVjYE4H1f76avYkBBCiBPbiZqFpblpXHF2CQB+X5gtNW19zttXCi6o\nyCEnzUFbxODd/a3djnHaFBNLvbgcCn/U5JP6ABKFQghx6jjS88Iy4DvJr+8GvkFifasj1wofBhbO\nPROAgD9CbXOQjdVtfZ6T5rTzz5OKsSn4sKqNmrZIt2PSXXamVmRjV1DVGmVnQ6iHKwkhhDiJnLBZ\neM2nEus7hsMxWtoibKkL9HmO06aYOTYfh1LsaQ5R0xbtdozbYWNiiRe7guaQwZ6mkHQghRDiFHGk\nYau7tdaWUiofOAN4QWutlVJ7BrpRPp+PBQsWADB37lzmzp3br/PPGpXDjIlFvLW1nuqaNt7a1cz0\nUb0P12lXkulm6shs/nHAx+s7m/jquWWow4amZnucTCnP4oP9bexqCOGy26jI9/RyRSGEEMPFypUr\nWblyZfvHVNe2GrIs7O86j4cry/MwY2Ixa7fU0dgYZMMBH9PK+/62czwOzi7N5MPqNv5xoJUrJxZ3\nG5qa4bJzRomXLTUBattiOO02ynPT+tU+IYQQg2/A1nlUSv1Ua32zUupW4Fyt9deT2/9Ta73waBuc\nimnTpun169cf0zU27Wth9uLXUQqmThnJigXnk+bsu7J61LD45fsHCMZMPnNGIWeVZPZ43MGWMB9V\nJ57iTh6RSVmOhKYQQpwolFIprW01pFl4FOs8Hu5AU4hv/fwdNHDa2AIeu3oSma6+a+UZluYvH9cR\niJmcX57NxKKei8s2BuLsqA8CMKbAQ2mW+5jaK4QQYvAc73UeNyul6oG7gEcAlFLPAL1zPvB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KS/kY1a7vLk8/XMgVE++a872dM/CUChJUMul+LC9U2864Zz2TtS5oG9IwCc15njqt5m7Nn2tBIY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\nHCJ+U6CUUmr10izULFRnMe08K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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "curves = contrast_F444W[F444W_key[0]]\n", + "do_plot_contrast(obs, curves, wfe_list, nsig, age, save_fig=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## HD 181327" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "i=2\n", + "\n", + "name_sci, dist_sci, fov, age, spt_sci, kmag_sci = args_sources[i]\n", + "name_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "obs_dict = do_init(verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "# Optimize readout parameters\n", + "tacq = 3000\n", + "#do_opt(tacq, patterns='MEDIUM8', ng_min=10, ng_max=10, tacq_frac=0.1, well_levels=[2], even_nints=True)\n", + "for key in filt_keys:\n", + " obs = obs_dict[key]\n", + " obs.update_detectors(read_mode='MEDIUM8', ngroup=10, nint=12)\n", + " obs.nrc_ref.update_detectors(read_mode='MEDIUM8', ngroup=10, nint=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "wfe_drift = 5\n", + "hdu_dict = do_gen_hdus(obs_dict, wfe_drift)" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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zU81pfrXOTzWn+dU6P9Wc5lfr/FRzml+t8zvj3LkVRVEURVEURVEUZTbw3XDD\nDbNdhhmTTmRu6Nm4jEtfcSEAB58+MmnanQ8/c0rPrfnNj/wuveYCXvO+V3LpKy5k2drFNLTW//3J\nnEc1p/lNl59qTvOrdX6qOc2v1vmp5jS/WuenmtP8ap1ftZqbc+7cIuIAPwXuA4LAKuCtxphUMU21\nrhiKArV1/1EUUM0ptUc1p9Qa1ZxSa1RzSq2Zj+7c9xhjbjTG/B0QBV492wVSFEVRFEVRFEVRlDk3\nO7cxxgU+BiAifmAJsGNWC6UoiqIoiqIoiqIozEF37iIi8lLgL4D7jDEfKY0b7Y8bxPasJ0YTJOJJ\nAH7+5du55cu317qoyhzh5dddwdXXXQHYdQBjTTEbYQxNHY0n5f6jmlMqoZpTao1qTqk1qjml1qjm\nlFpzIpqbs0Z0ERH5BnCvMeaLxTAdz6DMBB1Do9Qa1ZxSa1RzSq1RzSm1RjWn1Jp5NSZaRNaLyNUl\nQXuAlbNVHkVRFEVRFEVRFEUpMufGRAMZ4G0i8hwgAKwD3jO7RVIURVEURVEURVGUOWhEG2N2M81s\n3LHGKO+9+XoA7v3pg9z7s4dqUTRlHnHpNRccXQMw1hg96fxUc8p0qOaUWqOaU2qNak6pNao5pdZU\nq7k5Pya6EjqeQZkJOoZGqTWqOaXWqOaUWqOaU2qNak6pNfNqTLSiKIqiKIqiKIqizFXUiFYURVEU\nRVEURVGUKplzY6KrQcczKNOhY2iUWqOaU2qNak6pNao5pdao5pRao2OiFcVDx9AotUY1p9Qa1ZxS\na1RzSq1RzSm1RsdEK4qiKIqiKIqiKMopQI1oRVEURVEURVEURakSHROtnJHoGBql1qjmlFqjmlNq\njWpOqTWqOaXW6JhoRfHQMTRKrVHNKbVGNafUGtWcUmtUc0qt0THRiqIoiqIoiqIoinIKUCNaURRF\nURRFURRFUapEx0QrZyQ6hkapNao5pdao5pRao5pTao1qTqk183ZMtIisAj4GPAwsAYaMMTeWptHx\nDMpM0DE0Sq1RzSm1RjWn1BrVnFJrVHNKrZlKc3OxJ7oF+I4x5scAIrJNRH5ujNGmIkVRFEVRFEVR\nFGVWmXNGtDHmgbIgB0jMRlkURVEURVEURVEUpZQ5585dioj8AbDZGPPnpeGj/XGD2J71xGiCRDwJ\nwM+/fDu3fPn2mpdTmRu8/LoruPq6KwA7hiHWFLMRxtDU0XhS7j+qOaUSqjml1qjmlFqjmlNqjWpO\nqTUnornjp3sGAAAgAElEQVQ5a0SLyIuAPwDea4xxS+N0PIMyE3QMjVJrVHNKrVHNKbVGNafUGtWc\nUmvm3TrRInI18FLgz4EuEXnuLBdJURRFURRFURRFUeaeES0iFwD/A1wK3AH8GFgzq4VSFEVRFEVR\nFEVRFObmxGIPAXVTpdE13gARqOSKXxo+WZoFgK4reBpQzU2Jak6pNao5pdao5pRao5pTas28XSe6\nGhb8eAYpcc0XB4pDxqXEscC4x/ZLh5Qbs+AMHR1DcwpQzc0I1dxJUtSbpydxSvaL390yPRkX45pn\na2+BoJo7Ccr0Zr9OobnifqEAcLzuVHMzQjVXpeaKFOs577v9VM3NhAWrObC6OwHN2Q+t58qZcz3R\nSgVEEJ/P++4gPgd8PhsW8C6hY+PF52AKrr0Z8nkb5xpMPm8f+K69AdxsbsG+bCpVoJpTFEVRFEVR\nlIqoET2X8VoqxedD/P5jRkwwgAQC4DjgOJhQABMOgU8oehZIwUCuaNC4OKkMFAqYfB6TyeL4fJhs\nDgBTKACuGjWKak6pPV7LeLFFXPx+CATsp98+oiQYOKq7oz04xiCuOdobSL5g9ZXPY7JZG1YoYAqu\n1dsCbEFXJmEqzQUDx8L8PkwoeOw4Y5BCSb2Vy2NyRc3Zuo1CAZPLq+aU45lJPRcu05zWc8qJUK3m\n/D6MV+8BxzTndYCQLxyr59KZo2m0npunRvQZPZ7B8SGOIH4/EgxCwI+Ew5i6KG59mELQRyHiJ9UW\noBAS8hHIxQRfFnJ14PrBydnN+ME/Ab6cwZ8yODkIxQv4U3l8Y1l88QSk0vamMC4mnTnWWzjPbwYd\nQzMDVHOnBNXcDChtrAkGkVAICYcAMHVRCs0xCrEA2Qb7iMpFHXJRwfigELbHOlmrF3/aZulPGQJJ\nl8B4Hv+4fdA7ExmcRAqTSGIyNsxks14jjsc81p1qbgaUay4SRsJhAEwsQqElRj4aINdgPWxyUYdc\nTDAOZOvtsf4UIOBLWc0EkgZf1hAcLxAYtfryTWRwkmnMRAKTsuI02dwZ87KpmpsBJ1HP5aP2WF/a\ngHjaw9NcxiU4lsc/bo1oZzxtNZdMHtPcGWTgqOZmQNFD0JFn13PRMIXWOgoRP9nGCprznq0+79nq\nKz5b04ZAyiUwViBQ1NxEGmciZTWXLj5bF149p2Oi5wLF1qKAHycShkAQmhswwQDpxXUkOwPkopDq\nErKNLm5dga4lwyQyQS7p3k/AsS+Ei0KjFIxD1JdhohAmWQiSKITYEe9gYMIuGj5+pB7JOsQOOoSH\nDMEJQ/RwGl86j294AjMStz2HxZsin5vXNwLoGJqKqOZOK6q5SXCsZ4MTsQ91qa/DNNWTbY+R7LK9\nL8l2h2S3IdeWJ9xsn+JdTWM0BtM0BFPU+e1DPFUIkMgHGUpbnfWP1zExGsGJBwgN2DFfkQFDdMAl\n0p/BPzhhzxkfx00kj/bimFwe3BKjep6impsEx2fruZA1XqS+Dre5gWxHjGSn7X1JdjqkOgy59jzR\nliQAS5ri1AfTNAdTNHgWzFg+Qsb1MZq1L1X9iToGR+sojAUJDtiX1/CgEOtzifTnCPYnbBFGxjDj\nE7jFhhzV3FEWiuaO1nOdXj3X6ZDssvVcpMXqq7tpjPpAhoZgiga/1UqiEDyunhuYiDExGoUxP+F+\nT3NDXj3XlyUwZDUnI2OYRFI1V4EzVnOVnq0dJZrrcEguMuRaj9Vzi5rGqA+kqQtkaApYHWZcP+O5\n8LFn60QdY2MRTDxIqKi5QYgOukT7MgQGPM3FJxZcPTcve6LPKIpjT30+nLqYFX4wQGZJE7kGH+OL\n/SS7DdnWAnVdE7RHU5zfdoBL63aTNT7Who4QlgJhKbA6EGOkkKTZFyVjcoQkwN1pl1yLn/25Fsbd\nCPd0rGLvWAuD3TFS+2P4Ew6Z+gihcUMs4MPvc3DSWdzROORymIIDZv7fBEoJqjmlloggfmusOJEw\n0txIoaMJgOSiCPEVfsZXFmheMQzAZV37uKrpcS6PDNHoRKo+zZ7cBNtybTyT6eSJxCIA7j+ynIO9\n9UQORoketnnVH2wi3JvANzQGgBkbx02lz4jGG8VDbC8MeJpraiTX3QxAqjtMfIWP8VV5OnsGAXhB\n+wGuaHqSqyLDRJ3gpNmWk3SzPJL1M1So44nUUgB+1b+GAwPNmH1RYoesEdVwoIHowSS+QU9zo3Gr\nuTPkJVOhYj2X77T1XGpRhHiPn/FVBVqL9VznvhPS3MH8BA9nOujNN/FEYjEA9/Su4FB/A6EDEWKH\nrRFVd6iJyKEEvmFPcyNxrefONMo119JEvqMR8DTnPVvbVg4B8JKu3VzZ+CQvDI/PSHNH8hPszNex\nN9vGk6klANzVt5Ijvc0EDoaJHbKaqz/QRORI4lg9Fx/DTaRs7/QZWs+pET1beOKXYACpiyHRCNll\nLYwvCZFudZhY7mI6Mly0chevbX+Q9cFeVgYCFIwpE3+AgvEx4qbImQIFbOV4OJ+h3sny/HAMcDkS\n2Eu3v443NTxNWPwczmf47bk9pE2QL+18Af0TEYJPxIj2RgmPuMT2NuIk0vgGhnGTSfuwPwNcbhc0\nqjlFURRFURRFOWnmpTv3oZ1HzNYtTwLzdDxD0ZgJh5BQEDpaybVEmVgaZnCTUIi4LF/Xyws7dnF1\nw1bOC0JIAsdlMeGm2Zc3DBRipI2NO5RrJiB5+vKNdPrjNPmSNPmStDopAuIyUIhwdiBFnQSIOkHu\nTRdo96X4n/gFbB1bwuNHFuE+VUd4WGjckyfcnyHQG8cMDmPyeVxvHOt8MGpKxzNs2ryBxWd3n5T7\nj2pONTcdqrkyPI8HCYVwmmzreKGrmfGVdYyebV3C0utSvHj107y29X6uiuamzC5nCvQVUiSN/Vv3\n5mwvj0/s+KuAFEi6IcKSO6rP/nw9ezIdPDCynO0HugBwDoVp2AP1B+wkeJGD4zj9I7hj41ZvMG9a\nzVVzZRQ1F4ngNDYAUOhuYWxVjJE11sU/vybJ761+kte0PMALw1NnF3dTxN0C467V66F8Ay4OYbFa\n7fRNEHdDNDoZgp4OCwjbsp3cM3EWtx1YA8DIoUbqd/lp3GN1Fds3ge/wEG587JjmtJ6b35qrUM+N\nrLa6yaxLccXqp3hd6/28JDJ13VKs58Zdq9fDhXoK5tiSRE2+JMOFOqJOBtcLT5ggO9KLeHhsGQ8c\nWAZA/nCU+j0ODftsPRfbN4HTN6ya4wzVXHeLpzmriey6FFet3s7rWu5nc8SdKjcKxmXITTHqJTuQ\nbyAgBXwc/2ytd9LkjNX0kBvjUK6FB8ZW8LuDPQCkDtVRv9tHw36vnts7ga/3zK7n5qURPW/HMxSF\n7/fjtLbgtjeR7owysiZIuhWcDWO8b8PtdAVGuTqaPnrYkfwEBeCXibN4Ot3FPf0r6B1uoJB3YCCE\nLysExuz1NQ6ICxgoRAz5CIiBfEsOJ1ygp2sIRwyv6t7KpvA+2n0pVgdixN0Uj2Ri3Jdcxa1969iz\nvZvQoI+WbQUado7jxBOYoRHcTMaOJZxHulnQY2hUc7PCQtccgASDOHUx6GonsdI+6IfX+kltSnHN\n2scBuL71N6wLHj9pR9LN8pt0PfclVnHfcA8AewZbyaQCmJQPSXsTp7ggBXCDVhcmaCBUIBTL0tU0\nDsCiWJyl0RF8uIzlrTv3jrEO9vW34Oy05214Bhr3pAkcGoVB62rpJlLzzu1RNedprqEBs6iNiZXW\niB7a4KOwcYI3rLUvym9rvo9l/rrjDh8sJLgrbQ3fB4esEXJwqIlsMgAZH07avpgasRMoul77oonl\ncUIFYvVpeppHAFjX0MtzovsIyDFj6bfjq3l4cCmHtnUC0Pi00Px0ltD+ERi0x7kTCdXcfKJUc/V1\nmK52kiuKmvOT3pji99c+CsD1bb9ldSB23OETbpo7003cn1jFvYMrANg31Ew2GcRknGP1nAHJl2gu\nXEBCLsFolu5m6zbbUz/M2dF+Ak7+qGH9UHwZO4famXjKDmNo3AWNu7OEDqjmziTNJc6ymhte4ydz\nXpJXeZr709bfsiJwfD2XMTluT9XzYGIlvxtcCcD+4WYyCas5J+Uta+pa3R19tgYMEs0TjmZZ1mK1\ns7xumDXRPqJOhqRrh608PrGYxwa6ie9oAaBxp9C0K0vowCgMeM/WM0xz6s5dK4oTTTQ1IuEQqbM7\nGNoQYmK5S9f6Xja37+cjHb+h2Wdf7ArG5aFsgR+NXsAvDqxjZKiO4KEgwTEh0m/oHizgy7r4J1Ig\ngpPM4SQz4Lc3gRv0gwMmYGdWxkCmOchE3WLyUbipfSmpRXnqF42zunWAy1t2clHkGV7T8AiXxXZw\na/tGHhhezlPtS8k0NBLrryO6J4JvPIE7MGRbleZJb82CRTWn1Brn2MQmTlMjuWXtjKyNMnSBbdE+\nZ+Mz/PXSW3h+uNizEuVIfoJvj53LL/vWA7C7tx1nf5hIrxAatQ/ajuECgfE8ks/hyxxr7DECbsg+\nxtyAQyHskKuLMdFgXx4ebV/E/S0GtzNDa4udWGxxfZz1i3rZH7M92QMdjaTaIjQ3BYjtsS8DTt8w\n7mh83jXeLEhKNdfSTLanneF1YYYvsj1wL974JO/vurWksaaOI/kJvjRyCXf2nQ3Agf5mfPvDxA4L\nwbi93l2jBYIjWaSQx8kdq3eMI7hBW+eZgEMuFiAfDXGw1erp6e4VfLfjYuo6J9jYcQSANXV9XNW9\nna1R27jzaOcS0i1RWprbqX/aG7t9ZAh3bEw1Nx8or+eWH1/PnX/u07x/8S+5NOwZJcQ4mJ/g22Pn\n8YveDQDs7W3FdyBM9Mixeq5zuEBwPIfkCzjZsnouWHzO+ihEHHKxGOONtp67r3Mxd7a7OO1plndY\nY2Vl/RAXd+/jmTo76dPu7nZSbWGaW0o0p/Xc/KFUc81N5Ja1Mbw+ytAFtm66aOMOPrT4FjZ5k9lB\nHf2FBD8YX83/HjkfgGeOtOHbHybSJ4RHSp6tiTySm/zZWgg5uEEf2YY6BuvrAdjfsZzb210CixL0\ntFnNrW7oZ/OiXeyot42F27u6SLVFaGluo36np7neoTNKc2pE1wIRnHDIrsdWHyPX3sD4siDjqwp0\nnDXEn664k0vD+2j22QpxsJDgX4Yv5tHRJTz6zBLCe0M0jEHdIRd/qkC4L4WTzCGFApLO2jXcUikQ\nB/J5cATHNXZtX78ff8CPCfgJ9vvJN0cxjjCxJIQv7SfX38xDS2M8XreIC5as5JVtW+nyxzk3coDu\nzlGSuSCHEt24QR/BsQh+QOJjSC5vR8KqUTM3Uc0ptcbx4cSiOK3eBE6rOxg4L0juonH+bP3dALym\n4TEaHR9bUrZX5t97L+e+Z3oI7oxQv98+UJcdzBIcGcOJJ5HUsaUzjlsX1UMch6I5Lj4HAkGreW9t\n30JzjGxzmFRHkERXGwBPLG6B7jSN9XZ20sU9g/Q1NNDXFKE1Yg2hhqAfnwjuaPzoTKNnwgP/jMPx\n4auLQae9thNr2hh4jp/YJYN8Yc3PAPi96DgBiXJ32ho4Nx15yVHNNey113T54SyhwTjOWBIy3qzt\nVWou6GmuMWJfXt2mGJm2CBPdjWxdYvV0z9KzWLRsiMV1cQAu6dnLk7Eu+hqaKQRsmsagH99Bh8LI\n6LFzqubmHp7mpM32tiVXtzOwKYC5KM4H1m0B4PfrdtDiC7ElZbuPj6vn9nmaO5QlODSGM15Sz2Uy\nUHCrq+f8PkzMete4jVGyzWGSXWH6FtuJn/Ys6aZu6Rjd9bbh5tzlh9hd30pfUyOFoFfPhQP4tZ6b\n+5RpLrHGas65eJS/WbsFgNfX7yYqwaP13L/1vph7dq8g9HSEuv0VNJewM3EfXf85ly85n4O4Lo5j\nVRfwNBcLBjCl9VxrmGRnHQcWW8N6x7LFNC+Os6TR1nMXrdjHjvoOepuayYetN1pjyI/fcXBHRs8I\nzc1LI3perfEmghOJ4LQ0YxpijGxqIdXmkHr+BG9ddz9vbHyQVYE6oI670y6fOfhSdg23UbivGScH\ny7flCPeP4YwmYDwBrsGk05DL4RZcTKGAOIJxPREaF/H5ju6LY5cywrFuvb4DPiQUpGVPmOaGGG4o\nwNjqevKRAA+vXMvDa5ewunOA3+/YSr0vzbXLfse3fRezt6eFfLSO2JEQTT7BOTyISSZxU+k5adQs\n6HUFVXOzwoLWnDIrqOaUWqOaU2qNak6pNfN6nWgR6QI+BpxnjLmoPH7ejGcoutPWxXCXdZPpiDB4\nXpCJlXlevGkbX112F0k3e3TCpc8evooHd/UQ3h2i6WmXyECOUN8EMpbATCSgULDjQ4uzFpdS6TpK\nmQu/2Falo2sDh0JIOISpi5JvCDO6OsrIesg3FLjk3F00BlI8t2E3TyYXc0//Co481UHsgEPb41ki\n245g0mnc8Yk575axoMbQqObmBAtKc2DH3Eej0NlGYq3tFex/jp/6SwZ484p7eX5kFwCPZRbzk4FN\nPLTNjgFs2B6gaVfeLovRb1uvTTKJKS7/42nOuKay/iroTRwBnzeeMBhEwmEkFqHQbFvLk8tjjC/x\nM95j85NFaepiacYnIoi3VEfjDmjZniSwbwB3yBvLlcmo5uYQ4rf1HN0dxM+xPTT9Fzqsu3QPf7nk\nVp4Tsm6s96Ub+PbgpWx5bC0ADdsCNO/MEe5N4usbBcAkkpji3AseM9Wc+G2fhIRDEApBfQy32Xr6\njK2MEV/pkFxhJyRr6Y7TEM7QO9pAfo9N07QdWrYn8O/tozDilUvruTnFUc11tDG+wdZzA89xaLu4\nj3f0/IaLwvsBeDizlB8PbOKBbXbcacO201vPOSGrOamLUmixeproqSO+wkdihTfJ06JxGiNphsZj\n5PZ6mnsKWrYlCeztw/U0p/Xc3OKo5jrbGd/QCkD/+Q6LLjnM9ct+wyXhAwA8kFnM9/sv5IHtJZrb\nmbfLnA2exmdrXZRCmx2XPd4TZWy5j4lVtle7eXGc1liSI/EGUvvs87d5m9CyLUXgmd4zQnNztSf6\nMuDHwKbZLsgJ4YnPCYeQSBi3p5uhcxsY7xHWv2gny2IjfKjjTuKuw56cwwf3XM0zfW2EHomx7Anb\nC+jrHcHkcnbh8kLhxNy7ytN6a++arEshk7EPfZ9doN0fCdM21Ez9wSbyUR+PHVxLakmeHas6uaxj\nN8/t2MODvgIHO5oZKkTpyHTgH0rhZHO4zP2H/RmPak6ZDRzvgRqJQFc7E+tb6bvIhrVd0Mtrlz5M\nu3+ML/RdAcCdO86mfmuYnu3WmIgcGEKGRnHHJyhkbdiM1pSsoDfjYocY4GkkkcQZD+AM2wd2/WAD\n0UPN1B2yrcsja6KM9gQJt6ZghR03PeqLISZKi9uGv+BpuOhmq5qbVYrGqhONwuIuRs9ppvf59ppc\ndtGTvLXjLuqdNJ8auASA7z/1HMIPxOh50tZnkYNDyHAcd2ycQlEnM1mveRLNGS8vMhk7meP4BM6Q\n1VzzYAN1B5sZ32sbaUbXtDHSkyHWmMJdbo39UTeGLxelKdeGU7Avte5ofN5NwnNG4tVzTjQK3R2M\nrW+h7xLbQLzyggO8btGDNPjSfLbvSgB+tWMNdVvDx2vuNNZzhWwWSSaR8XEczzBpHGwgdqiZif3F\neq6JQyuy1LckkBXWxXvUqUPcKK35dhzXa1Q8g8arzmtKNbeok/iGZvouse95qy/Yxx8vuo92/xj/\n2G+frb98ah2xrRGWb7P6iu4//c9WSaWO01zTQKPV3AE7zGBkXSu7V8ZoakogPXYSvBEakHyEllw7\nvjNAc3PSiDbGfF9ENs92OU4U8fnA58NpbsJtb2JwUwMjm9NsXHaYzyz/IT6B3oKfb41cyk92bSRw\nbz3N/YbmbXGcvUcw2RyFbBYKhWMP5lOJJ1STz9uxECKQzuCk0oRGxgiHQ4SGWkl1hunbuIjvn1NP\na0OCpfWjhLry7Fi/CF8mTN2RAHXpDM7oGG58HJPLTnNi5XShmlNqTulEJ+2tjK9rpe8CHy3n9wPw\noq6dHMk28a09FxN/zLagdz1qaHxqBKfP690dn6CQSp++ZS+MAVPATRfAe5GQTAZnIkHDkB2jFRpp\nYWQkxOiaGNLlTazSnWa0EEHcGC052+Pk5PNWc2rUzB6OXb4KsD3QG5rpvcxw+UXbAPj91kfYn2vh\nW4cu5ZmHlgLQ/rCh8alRnN4hoDaaM/m8fWH1lnVxUin8Y+M0D9j5AiIDTYwMhhhbFcC0eGOw23PE\nzwriy9bTmLZ1sJPL4k64p6dOVqrDm+sBgM42xtdZA3rVhbbX+aqO7RzJNfGVvc9n6JEOYHbquaOa\n88aZSiqNb2yCxiGrufBQM8PDIeKr/Tht3hjszgzxbBhfNkZz1tbRtp47Te8BSnWUaW5svTWg11+0\nF4BrOh6jL9fIzXtfyJFH7NKNnVsNjdtnQXP5/NFnq5PO4B+foGmwqLkmhofCjK4OEOiwY7ClM018\nTQRfLkZztvTZOj81NyeN6OnoWNbG9/q+CkBiNEEibieI+fmXb+eWL98+m0WzPYLi4IRCuK0N5BtD\npDqFNUv6eEnbUwQ8h4CfjG3iuw9chH/UT+veApH+LL7+OG46Y4WZyTzbneJ0cfRFM2NbI90C/sEQ\nEQONsQgDLTGOpAM0htLUBTKEm9MkFtXhT/qI1kfxuQZJzv6SMC+/7gquvs62ysUao8SaYsd+30mi\nmjvFqOamZa5rzgmHcIqT65zdxtAGP6GNI5zT0gvAM4k27t29grqtYZY8Zl/aIrsGMMOj9uEOtb1+\nXgu8yRRwCwXEe9kMZbK0pdtwsjFGvWWw3O40ZlGaeDZMIGnd0BrTeZxsjsJE4aiHxWywoDUXCeO0\n25f98bUt9J8vnHvuHq5otkb0jnQ339x1Ee79TSx+1L7YxZ7sxYzEKSTtbzGFQm0059VxAG7GRfJ5\nxDOqI6kM/mQrgfEo8bPtRD3Z1gKZ1gJjy3wExq17ZDSTtRMqumZW54FY0JorqecSq1sZ2OTQeW4f\nl7TuBWBXqoPbdq4l/HCUxY/bBpHoU32zp7ni12z2uHounM7SnmrFn4wyusY2fhY6crgdOcZWBgkk\nrebq0zkkm8Mkkqq52aBYz3mam1jTxsAmh6XnHebi5r0A7Eh28dOd5xB6sI6lj3neDjsHMEMjtdcc\nHNWJmy48q57rSLXhT0UYXWOvn9uRodCRY2xFkEDCPlvrU9l5q7l5aUT37x9kTo5nEEH8AXytzZjm\nBuLrmhhb4dD0wl4+2vMjopLnwUwXt46ewy9+t4mueyHanyW8oxczMUGhfG3SWhsHbgE3C2TjONkc\n/uFRmhPt+NONjC8Osz2zmFhrkrpIhuEeP6OBMMFEHZG+IIFE0j7sZ+Iucoq5ZZIK8Kb7P0lTR+NJ\n5a2aO02o5iZlzmpOmVVUc0qtUc0ptUY1p9SaE9HcvDSi5zISDEA4hFsXJtnhkOp0eVXXTtp9WTp9\nIT7fv5Enhrup2+cQO5Im2DduJzVJZ+aGa6pbABFMOgOFAs5YkvBgFAxkmwMkTJRCcxrHZ8hHXTIN\nDk4uQDAWReJjYNxnzVGgnF5Uc6q5WiPBIE5jA9ll1h1reF2QzDlJVjfGOZS0D5vtO5bQdr+PlifG\n8e+3Lt5Hl1KZZXfoo66PAK6L33Vpcdtx8nbCnSEJY7rTZLtzjCbsclmBiQZiiZR1PUulvIzUrbtW\nOKEQTlMj6R7bEz14jp/u5xzhnMbDbE0sA+CH2zdRf3eE9q0JAnv6AHDjY/Z6zea1Kro+Flc0GBom\nkM/Tkm3Dn7aaG1njJ9vskmk1TCyxr2bBsUYCE0l7bNY9mpdSG5xQCKexgcxyT3MbA4TOHWFNUz87\nJuxauPdtX0nrfQFaH51j9Vy55gYGreby7fiytodteEOAXGuedGeBsTE7Bjc41kg4kbKrcWRUc7Xm\naD23wj5bBzf6iZ07xIamXvYkbdivt6+h5Z4gbY9N4N/r1XNzQXPwbM25Lq25VnwZr55bHyLXZjU3\nHvc0F5+/mpuTRrSIXA78CdAtIn8HfMYYk5rlYk2N1yMo0SjZpa2M9YSJn5fl+et3cVnd0zyc6eKn\nQ5u448ENhPt8LH4oRWDbQbtkTzI5twRjDCafsy+Z/YOEcnkCgw04+QYm+vyMro/ia81AU47x5WHc\ngI/ooTqc8XpIJGrrRrKQUc2p5mYB8duZ1t3OFuKrrFvg2No8S1vjxDNhjjzdDkDbIw6tj4/j7DlM\nYcxO2DUnGm2KeHpxMxnM8Ah+Y2j2JFQI1zHqhHA6M6QWW2N7fNhPaLAR30QC8Sbdm49juOYj4vcj\nkQiF7hZGVttGjeyGJOe2HKYv08Cvn14NQMM9EToeHMe3p5fCqDcj7Vwaw150e0ylMIUCTr5AY84b\nZuA0MtbjkG00pNrssJpkV4iG4QacZIpCcR3XWRxKsJA4qrlFrYx6LvfJtRkubu9jKBPj0adsw03r\ng37aHhnH2XuEQtxO2DWn6jn32JACMzyCz3VpKtg62g00EF/lJ9taINVp75HEUIDgUCOSSCLFSaS0\nnqsJpfXc6Nm2nsuck+KC9iMMZmPct20VAC0P+mnbOoHvmcPHNDcX67mMixkcwl8o0OwZ1sZXT7zg\nJ9tSINllw8LDAYJDDfNSc3PSiDbG3AncOVn8XFzjTXw+u3TPojYGz40w3mO4+rzHuaLpSbLGx8d3\nvJyhfc10/0aIHUjgf+YIZnwcNzuHhF9KccxqKgWui6TTxBwIDUcoBCOMhQIQcMm2FXADDpHBGI3D\ntnVTcvlZv6EXwrqCqjnVXE3xxsuL34+0NDO+sp742TaqoWucbMFH/55W2h62s9a2bo0jB/tw42Nz\n+4FojB0/OBrH5y3f0VQXIBcLM1bnR+ps2SeWBIkMRmkYaUSKY7pnufFmIWmO1ibGV9YRX2v/73WL\n+hjNRbjnmRU03GPHsnc+MI6zt9fOaj2XDJlyipobG8Nx7G9sCPlx/XWM+wXXvj+TanOIdNQRHEsc\nHVq19n0AACAASURBVNtqsqdpoqAqWXCaW1XPqKe5ZYuGGMuG2b57Ea0P2NfntkfGcPb1zv2JLj3N\nmfgYPu83NkYCFIIR4mEfhYhnRHfbZ2t0tB7xPG60njvNFDUXDEJbM2Or6hhdY//vs7oGmMiF2PrM\nMlo8zbU/PI6zr+/YRJcwZ9/pjj5bvd/YFPLjBiLEgz4KYU9zXQ6RgRjR+PzT3Jw0oqcjEU/y+etv\nnu1iHEPErpkWDJCPBcnVQ6EhT8SXJeGGOJhtYfBwI5HDPmKHkviH7Rq8bjY3q4Poq8IY3GwOMQl8\nIxP4Aj5Co2ECw35yTQWMGMSFfFhw68I4uTziczCz/M58788eOlox3nT/J086P9VcDVHNAXNQc8qc\nQzWn1BrVnFJrVHNKralWc6fciBaRS40x957qfOcs3szIUl8HLY2M90RIbUjxgrN2syF6iIcnlnPb\ngTW03eun7lCWwJFRzPDI3HOnnQrjYnJ53NE4TjpDUzhAIRwh3eIn3emSjxmSnQ6x3hihvIuMhxCv\nBWre/Mb5hGpONTcLiNdLK40N5LqbiK/wkV9mW40dMfQdbKblUYfmbdZ1Ww72eevczuFe6CLG2PFk\nngtwaF+QxoYOcvUBUj22dynX5JLo9hE9XI9/1LrQSSYzP37fPOU4zXVZd+fQErveaN51uH///8/e\nm8ZKt6V3fb9n7ammM73T7cFut22CCMRYdnecTkD5QDpCsZtIQBJBZL4A1w3pkHRiAbZsHBsj0RAS\nLKS2aDoQhZDkA0IhuNsRoSOFhIS25bYZPXW3u2/P977DGWvaw1r5sPaus0+dqjpV59Sp6Tw/6dV7\nqmrXql21//tZwzOsd9H5TJMn/8xXpDVfenPzvdAVlWfw3N8v4dci9pshRdyg/8x7bfKWMHgcE73V\nxpTHFVmuId33yLidO3u3Ifzm8n4Xx6995TUO/mnMo1/2+3ubL721+V7oisrOnfnvE38lYb/9jLwV\n032nPyTbc/SehTS+0UHKUGHSTDV3j4w0t9che8cBZ99qaL7b90Uijn/+lXey/4sJj/9laee+/NZW\n2Tk7HMKpt9vRV2P2Os/IWjG9d/hD8g70n4Y0vtFGTsstDLdEc7eeRIvI35j0NPAdwHtvfUZbiAQB\nEsfYJGJ4IDx+dEEklq+lR5zlTS6+tM/euSV50cednfsCStuGs1BWQQ4uhkTdBnlDkAJsCC6AomFw\ncciKNkl60KjmVHMrRQRJfF4gB3t039mg9w5Lq+N1dXrSovO5iKPPDgi//ByA4vzisnjXNuCc3+YN\ncKdntL7aoXO0R3rgu8liv2DwKGD4JCH6uu/o5fx87WFnO0sZbQPAwR69dzTovtPyrOVD6b/44hHB\nL3c4+tWM+Itecz51IFvXGS+Oc9jSNsvZOdHXG3TaIUUzAiBvwXDP0DpoErzy9QekP8BtejTRtlK3\nc4f7dN+Z0P2mgidtr7mvvjik8StNHv1aSvRGqbnzLZlAV1SLzYA7OaXx1Radg0Pylk/DyfYdgyMh\nfdT0BT4B6fVwQ9XcvTCuubcn9L6p4JvafsL8xstHRL/S4ujXUqIvloXrttnOlZrb2zsgb/nFg7zt\nGB4askdNkhdl37olmruLJ9oC/+OE5//QHdqci03KZ5A49vvzHnXov73N+bvht3XO+NbWC37h5F38\ni6+9nUf/1HDwL18ir059EYD72vz8vqgK8JR7+poXp+x9uUGQJuQtQ7bnSPcdvSchJmvRfLmHsY4i\nXV/Hsss5NKo51dyqkSBAmn4Qnz3b4+KdBvtkQFH4gVfwZsLh5wqSN15hj08AtjIqoJr0u26P4M0T\n2o8b9J/6iVw3cd5L8zSgdVDm4r+K17pivsuaQ8xIc/mTDhdvN3AwpJf6CWb21Tav/Zql9bmX2FfH\nAJtb72EWo2JjA8zxGY23mqT7fnDZfc2QN2F4lNB+s1q4uVhr/Ydd1lzdzuVPOly8wyBHfYZZuZD2\n9SZPP2dpfOHSztnh9i1QV3bO9gcEL09ofb3J4LDcOzoR8jYMHocke+Uk+jReqz1/KJrLnnY4/2ZD\n8KhHt7Rzw6+3eNuvW5pfOL6quW2zc+UWKpXmmt9oMDjwNq33DiFrw+BRRNwu7dxJuBWau8sk+sPO\nuYvxJ0Xk3tW4MfkMIr74RLPB8G0dum8PyZ+lGLG80X/ML/3quwlfhRx8MYXnPpx23cWP7oSz2OEQ\n6XaJvnFOIzDETxNcKORNR9YRBkchjWYC/QgJgrWFOu5sDo1qTjW3aqr8+/09AAbPEnpvc4RJTv/E\nd/6HXxTaX+7hTs/8RAa2U3PV4k2aIRddGm/2aLzwg5nBU4ONHOmeId/znoOo2fAr5mvaYm2XNWfi\nCOn4xYrho4TBE4eJC85f+OcOP2/Ye+MCjk9HXo6Nr/cwA5dnuF6P4NUFyYkfSA4PBBsIRdPgWqUn\nOo5gMFzbws0ua07C0KdJAf1nCf1njijJOTv2g+iDLxg6Xzy/qrkttnMuy3HdHtHLLo1jv1g4eBzg\nQkg7BtvxmjOx9q33wpjmBk8TBk8dcZJx/Mo/t/f5gM6XuvDqZBRBsCuaax77fnT4OMAGkLUMdq/U\nXCOB/mDj7Zy57QdUE2gR+W4R+UUR+d9F5PuB99+2za1DjF9FiiKKxJC1hdb+gMdJj/M8ITgP6HxF\niF/2ocqd20bxV1Q3QZpBURCdDghShxSAgI3BGXBx5MNT5NbyUqahmlPNKYqiKIqiKGtlGYXFfgD4\nvcAfdM79LRH5i8DfXUK7G48YgWYDd9Ch+ywg24O95pDPnT3hK8+P6HzRcPAbGebkgqI/2K78wGmU\n+TSm28cEAcmJBXzImQ0h6wi2FWG6UVkxWbZ7ErdhqOZUcytHDBKGFI/8ynjviSE/zIkF4m94L+3+\nl3OC56fYbo+1uWWXibO4fh9z1qNZegR6xyGDZ468Bdme/95xI4Eg8Ln7oLpbJlGELcPmB0cBRcth\n04DGV7zHbP+LOeE3TrAX3R3RnPOLhb0+0an3OMXnAYMjIW8IRdt/7yBJENPdia+8UYi5orn+I0O+\nXyBWiL9Wau7LOeHzsx3SnI/0Cs57NF75SKP4LGD4yBe1y9veziWNBpxdCzxV7ooYJI4pDsvoh8eG\nfK8gKAzhV72X9uCNnKi0c7sxnrvUXHJcau7UMHgk5E0oWqWdi2Mf/bDh0UXLmER/zjn3hohUFuXl\nEtqcycbkMwQBEobYyIe/ZPuOYRYyzEKK44TWc0swtLhRTuoOGF3AWYcbDJFGQjhwZBmIg6JRegVD\ng4tCMOvzCu5sDo1qTjW3YiQIoNkg2/ed+uCxIIkl7UUcvOVLuiUvhriT0+3MSZ2Ec7jC4ro9klc+\nPD0+D0kPBBdC3i51FgS+o1/Tae6y5vz2fV5z6b5gQ4ecRLS+5n/txlv93dIcPlfVDQYE5z5UOOw3\nMHuOIhZs0w/XQmPWunCzs5ozgjQaZGWqRnooEDqykwaHX/V2rvHmEHdytjuacw6KAtfvE577hZuo\nG/v7LWJU+CkJg8sF6up9K2SXNUeSUHT8xHF4KBBZhicNDr/2ADR35u1c1I1J9wQbCUXTa44wBCOj\nPbQ3VXPLmER/h4j8AeDtIvIB4Dctoc2ZbEQ+gwgigmsm5AcJ6YGQtwqsE86ed0heGppvpSRfeoXr\n93ergquzuDxHspzkVUrWahBdGGwARSy4yEAU+txd8DfBir/7TubQqOZUc2tAAoO0mqMq1dm+I4gL\n7FsNms/9Ik348sJ70TZ81XgRXFHAcEh45ivzRucNwr7gBGzgO3aXRJed/BrYVc0hBmk0KFpec3m5\n60l8bGg99xoLn5/5vNQd0ly1tZ/pec0Fgz1MZkrNlQs3ceT7gTWd4s5qLgiQRkK2X2quBQSO8Dik\n9aK0c8/PcP3+TmnOFQWkGcF5aed6bYKh4AzYqLRza16gfiiaK5qAgfBleNm37qjmXJphKs11O4T+\nT2xY9qdRuNYF6lXuE/3DwF8CfjvwFPiTS2hzOwgCXCshbwTkLXCRo9ttkHwtovkWxG91kW6fYldW\nkCqq/S27PcwwJ+paonPxq2hA3gwJGiHG+P2Md+nmXzuqOdXcqqgmh0GAa8SkHT+IyjvWhzieGJIT\n76WVbh+7xsro90I5oZF+GVrbtZjUR4AUcTm4jMvBZZWLvwX7Wm40peYk8ItieemVsBEEAyF5BY1X\n5fY8vf5O7tHt8hwy/73CQYEUITaEIvEaW/eEZucYaS7AJRFZu9x2p+kgNSTHQlJqTi562B3VnBl6\nWx51C0xmsNHlJJp4vYuFO0elORGvuXJ7sbzpYOg113hZaq7b30nNkWVIWYQ07BWY1GAjuVy4CYOt\n0NydJ9HOua8B/3H1WER+K/D1u7a7FZQdWV4aXRzYXAh7EJ85TLePs7sRTnuFSthGoHCYzGLDEBeA\nC314LXbs+F2a0K0T1ZxqTlEURVEURVkrt55Ei8iPTXnp3+aeK3SvPZ9B5LLYTpkEn7ccRA4uIhqv\nHM0XfuXI9fqrPbdVUKuYbIYZ4SAmSB0mE1812eHrvotBjKzFObNzOTSqOf+fam7lSBBgGzGZr32C\nixwuDQi7EJcFkNxwiLM7uGhRFEjlFexbgmFAAUj1XZ3zXtM1sauawxhcHFE0ysUzgbAvxGeO8KSM\n+9tFzVULf6XnSTKLWF//gcopI7JWD83Oai4IcI2ErFl6wgyYviE+dTU7l+6k5lxRjKIfzNBiMlcu\nRF8es86Im13WHElM3ix/11Jz0Vmtbx3spp1zzo00FwwtJgNnHFJ3hmyB5u7iif7twM8A/xbwFvAb\nwLcBb96hTQBE5P3A7yvbdc65n6i/vgn5DGIEAoMNDUUk/uL3AsRCMPCioD/wxT92pLjTNayFvIDC\nbzlkcpDcd/guMN5ruCZ2MYdGNYdqbpVUnVcUYpvh5YQGIBPCLph+GWaWZrunubGO3mSOYOgjH2RD\nvurOaa4iCLzuyvw4KcAMIerZUXi9y/Ld0xyAdaNoIrEOkzsf4rgh4+id01xp5yQw2CTAVmU1LJjU\nR3mZXqm5fEc1B6OFmyCzBCm4oGbnynos62JnNReF2Di81FwBwVCIL9zua866UXFEk1mCzOGCCXZu\nTd99FTnRH3bOfUVEnjrn/lL1pIj8mTu0iYi0gL8K/Dbn3FBE/o6I/DvOuf/zLu3eC+KNrjgwmWAb\nlqBrCDJHdJ76AVgQ7F5Yad2YhgFiHc6UBtdQ/r1j33lTUM2p5laNCC7wxY38Y4ekhnDgMGkZ/bBr\neqtTfjfJHVKU0Q/1r6u6Wx7V4FIEV/OEifMLhVHPjiIDdqpw4hQqmyaWS0+0cj+IKb385WPjJzRR\n344W0tjFVCnwNqy6l0YL1A6pnqsWFJXlMxbIFAyEsO+LvQGXVfh3kEpTUlhMXjpF6v3pFtxvt45D\nc859pfzze0QkBBCRGPiuO57Tvwm84Zwblo//X+D77tjm/WAEMyywZU6m5NWqebmiYn0xpJ3DXa4g\nUVi/Sllq3WTuciVph2/+taGaU80piqIoiqIoa2UZ1bk/AXxZRN4EnuGrdd+FZ8B57fFZ+dzlAe96\nwt9+868D0D3p0j3tAfDJj3+Kn/34p+748YvhIu+hMTkgQnQuhH2H5LuzR+81yvxcACoPlTDKTQ37\nBVJ5qOornPfM977+fr7vdZ+O3z5o0T5s+xeW8PmquTWjmlur5oArnrCgbzAZlyvFu7h4UUU/1KIg\nTAE2LxduAMmtX01f4X33YDRnGHn8pYCg7/zvnnut7aRnrFa1F/DeeADnF0r936uzbxUPRnP1iKcy\nTcpkDqk0t4vRDyJX9+PFRz5IcWnnyAtv69XOLZcq+qF6WJSpeWlNc9bupubgSoqAWB/9YPKqby1W\nbuNvo7llVOf+myLyCeDbgc87517dscm3gL3a4/3yucsDvvSCD33PD93xY5aAdYh1hENHFes4Crty\nDjfcQY8glEUmBIljXGiwcYAUPjfV5D6/QXJbhgitzuj+7BQD+NGf/wiHzw7u1LZqbs2o5laOVPnl\nYpDCXobW5gYcmMLtfCiziK9DAOBCH14cDB3hoNRYlq98AWGXNVdHcnsZzpyXA/t89RPIlVLaOQK/\n+4ILvfZM7moLN8XKd2DYZc1JvY5G7XeVwi/iyPii7K7t/FB9F1PZOYNYR5AKZljm5ueFX0BYIbus\nuTrezvm/q0Kp3jnwADRXLRYa//1MJpi0tjC/BXbuzpNoEWkD/yXwncA/EZGPOOe6d2jyHwPfIiJJ\nGdL9O4Cfvut5LpUqjj8wUK4Om1RwoaNolrlzufWvi2xKPZDlIYJUnXwU4ELBRpQTuXJul+W76SlY\nF6o51dyKuVIR1EFQrs9I5ieTm1Jc614JAr8vL2ADny9pMi4Hl2m2m1vKrYv6Api79EqYsnig7Pr9\nXdm5UnMuFF8lugCTlpMYtXNLpW7npHAjOxektUXqXabSXBwB5YRGqkKKl4uFqrl7wNly8lgtkMnl\nwk11yC7+7iJ+rBqWdq6MhDC5wwxLO5dmZZTXZn//ZYRz/7fA54D/HvhXgL8M/MBtG3PO9UTkjwN/\nRUSeA/9s44qKieCsw+U5wSBHisSH1g58JUcA24wIgsCLYNdWkcB/p8Bgk5AiMRSxlB4aR3g+XMvK\n5U6jmlPNrYs8x6Q5waDs6DPB5GADICz3Ky8XOHYKMX5wmfgt5VwoOIEgh7BXFhoaprhiB8Pt1owr\nCiQvMGlVeMaBLQdbwXjxsR377UVw5YTGRsZPaHJH0PeFhlyaXS0EpSyHooDcEpSawwqSgw1ltJC2\nk3YOvOZqCzcwprlhqppbJuVioSsskhUjzZkyus4ZwZV9qwTB7jlFYLQDA5QRN84RpDXNZdlWpIkt\nYxL9G865/7p6ICI/ctcGnXP/APgH015f+x5vznkPWOFvhGBgMWlA0XBgpawWXK5i7uINIAaMQZIE\nGwejrRDE+lwOym1h1jmh2bl9BVVzqrl17WWpbCyqOWXVqOaUVaOaU1bNKvaJrvgmEQmcc0VZpfub\nltDmTNa+xxuUYRgW088wWUKQgh0IRQPypiG6uFowYJcQI0iriWsmFIkha/nV8iCFsGeR3tCvXK6x\nCMfO7SsIqjnV3GqpVsvzHBkWBOV+CWEfXFB6aMLaBg9iwG3+yvG8iBFoNrAN301mLYNYiPqWoFdb\nLV9jMb+d01xFUSBZfhnOnQGm9MxW3kBz681FNhYJAqSRjDzRReI1F/YtZlBGP2TpWhcLd05zI69g\ngaTZKLQ2GFZ2jlH0wy4yTXNRz481ANXcfVH4rawqT3QwKDUXXdZF2MkxnRhf3ya5qrmgXyD9Mp8i\nza6mlK2YVewTXfEp4Isi8hJ4BHxoCW1uBS7NkGFKdJZi0hiT+3A/Gwg2MEiz6T2Hg+FODS4JAqTZ\nwDYSsr2AIhZM6ogvLNFFjgxSv0G8snRUc6q5lVMUmN6AxonX00U/pGiAjRwu9l2ISWKk39+d4vAi\nSBgijYSi5cO5i9gXfQm7FukOAH8/rrOj3znKBTDnHAxTwq6/p4M0okj84LIaeEkY7tzCDUGAxDFF\nqxxcVprrFUjPa85m+e7uwrBOigIZpsSnpeaGwaXmSjsncYwMh7vV15Sas03V3KpxRYEZZsRnNc3F\n4rcwLUOdJdo9O1fl4NvGZaqUKZzfZaXSXL4dmrv1JFpE/rBz7m845/43EfmHwG/C50b/e0s7u03H\n2jJvqyAcgI1geARZW4jPjV+9NL5og7M7cgOUg0uMwbYibCAU/j4g7BaYYY7LMly+3tDanUU1p5pb\nFdWEpijKCY3/baNuiE0gbwp52w+8kijyK+e7sgWMGO+d6bTI9svCYhGEA0d0no06+nV7oneWosBl\nGWbgPWFB2qBoCFnbYMtFDRNHu2XnjJ/MuHaTol0VeYJwaAnPU+iXmtulCdwmMLJz1tu5vtdT2HNe\nc02haHvNhXF0udXiLlDTXN5Rza2Mqo+0DjcYEvT97xv2EooY8oYf6wAEUbyDdi7yTpHWZTG7YOAI\nLoa4gQ95c1m+FWOJu3iif1JE/tiE598O/C93aPdGNiKfwTm/Wj4YIv2Y+NySNwzB0FcNztoGe9DG\nZDlcdHej0JMIEkZII8HuNcn3YorEVxMMBhBd5AQXQ+gPcOl6t1rayRwa1Zxqbh0UBW4wIDrznVty\nHJO3BBdAeuC7kLjTQs7O134N7ky1f2UUIu022WGTdK8Mq3M+xDE8H+IGtcHlGu+xXdWcsw7SDHPh\nNRdftMhaITaAfC8BIGm3kF4fl2fbbefkspaFNBq4TpO8WRYVcj5dxXRrmlvz4HJnNVcUuGFKcO5/\n5+QsIW/5+hvZnh/sR60mcn6xc5qzey3ylmpu1biigCwlOC/71vMGeTPAGUYLaWGrgXS7O6a5xC8W\nNi771rCf+wivYTmJXrNDZBU50X8L+NeBjwIvyucE+P47tDkXG5PPYB0uy5AsJ+paopYh6/jQ2iLx\n+YKumexMoScJAnAWiSLyTkLeDHzYiSn3sRz6sFpbFGvfP3Znc2hUc6o5RSlRzSmrRjWnrBrVnLJq\n7j0n2jn3p0XkKfCfAAXw0865VyLyL27b5rbh8sxvN9HtEZ2mxE1DuhdgE8haQnrUICkc0moiaVmY\nYVtXkqocwTjGHeyRdULyppQrSNB8mWNOe7hu7zKsdlu/6wajmlPNrRpXFLjBEHPq91JrnLQYPApH\n0Q8A9qCFOW5sfb5gtRe56bRxBx3Sw4g88Svo4dCRHGeY0y52sBmr5TuLs7g0xZRh89FFTnAUUCRC\n1qlHP1x4O7fFmqvCg6WRIJ0WWSfGxl5zwcARnQyRsy42LYs8afrA/eAsbjjEnPcBiM86DA8NRSTk\nbW8X7H4LOWvsjOZMs4HstSn2Y4rEPxcMVXMrw1lcmmG6peZO2wz3A4oIsvZVO7f1dW4qOxdHSKdN\nvpf4QpFAkFrC0yFy0cNW0Wxbork7FRZzzj0HfkJEngF/WkRS59yfWc6pbQcuTZHAEL68oCmQdloM\nEu8VHD6KMLkjedFA4r7fgifbwnBHEZ8j2Gwi7RbZozbpQYgN/cAyHDjiVwM4OccNBj70Z1fyNzYQ\n1ZxqbqU4vz+5ufCT6OTlkORxwPBQyNp+sJ/tJzQ6bR9eW00st21BwwRI4kOFZa/D8FmH4UHg46so\nQ7lPh7iLrl/Igu37jtuCc7jC4vp+cBmeDokex9hQyDp+4JUfNIhOW76g3bZqTgRTVkU27RbFYcfn\nppZfI+wVBKd9XK9/mSqxbd9xW3AOl+W4ntdc8nLA8ChkuO8XqMGnEsTNJtLt7YTmpN2ieNTxC1N1\nzZ0PVHOroNJcOYmOjgfERxHDPUPe8nau2EsIW01Mv48d2tH7tgoRXyANkE4be9AmL/OhAcJujlyU\ndq5anNqS73jn6twiEgH/EfAHgX945zOag03JZ8C5Mrw2x2Q5ZpgTZA6T+hxVG0DeCohbDeQs9EZ3\nG/NUxfgiLq0mrhFTtEKc8SG1wdARneWY8wHkOVSFdtb8PXc1h0Y1p5pbB76j95Po8GWX5ouEIvGh\n9QDDo5D4sINcdJHMd4JblcNlAkwcYfb3ACieHjB44r3Q4cB/h+Rlhjk+x1Z5uBvATmuuKHBlYSNz\n2iU5bpA1Y4rIT2jSg5hwv430+0hRblO0TQuGVb2Htr9u7mCP/DDBRkIw9JqLjgfI2QW2vlCwZnZe\nc+Uk2px0abxqkCcRNiwXCw8iooPOdmsujpFOGwB3tE96mFDEhqCcoEUnA++FVs2tBK8537ea0y7J\nqwZFHI/61mw/Juj4+g+SV33rFkVBlHbOtMrrttem2GuUds7rKzgdwHkXOxxunebuUp07BF4Hfgj4\n/4Df7Zz7lWrP6Nu2Ow+blM9QDabc+QWBCI0XDdK9GKTy0gREz/aIhynm9AxrnRfJtnjNTOBDfhoJ\nbr9Nftgi6wTg/B69yXFOfDJETs+90V1zoZ2KXc6hUc2p5laOLbBlwY/g7ILGixZZp8XgqJzQdAzD\nZy0a3QNM6aW1PbsdnX25Si4H+9inhwD039YkbRtMDslpWZX8VQ93drH2Ijt1dl1zlcffXfSIjtvE\n+yHDfR9am+0FZE/bxP0hUh23LXZO/A4Kpt1EyoWb7HGbvBEguSM68xOz4LQ7SldRza0AW4y8r3Le\nJX7eImkHDA+8VzDtBERPWsS9ve3UXDWZOToAIHvapmgGmMwRnZWV8I+7uPML1dyqGLdzr5rErcBH\nQQF5y5A/bhMNhkipTWfddmgOnyJlmg1kvwNAcdShaASY3PkK8IA572IvulvZt97FE/054BvAHwf+\nJeBE5F3Afwr8qTu0u124coKS5zBMCQYFYc+LoEi8dzA5jYjLKoj0B4iTbQn395X04hhpNilaMTYJ\nsJEg1mFyH4ZheqnfYqiwG7OKtNOo5lRziqIoiqIoytq4yyT6C8D/ha/Q/V5GmWN89x3PaftwFtsf\nYKwjeqtJYy9iaAOKR/4nGRwFRN98RHjSxOQ5bpj60MhNXkkyAWLEryAdHWA7DdLHzVHxiejCEl3k\nRG+e4qpVpG0K39x2VHOquRXjyjBte9EleHFOsxVhQ5/XlCfC4Cgk6O0Tl6vqUi5ubKw3utpyI4ww\nex3ca48YvMN7BQdHfpuR5NzSeNOH2snLE4peb2NCuR8C1QKZ63Yxxw0a7Rgb+rz1IhGGhxFBb5+g\nylEvCl/0bVPtXG2bF9NqIYcHFI9LT/ReBAJRNyd82QXAnZ5h+wNdKFwhlZ1zF12C4waNdoQLvOby\nbddcuwmPD8mfes2lexEugOisIKo0d3aumlsxo+jCbhdznJC0YlzQALydy/Zjgt4eZlimDhQFNmUr\nNCfNpo/yOqrsXIwTCHs55qTS3IX3xm+Lp6fGXSbRP+ac+3/GnxSR99yhzbnYpHwGYFQcwFqHOT6j\n+fWEsN8gbyS4AIaHhiCNiZshzazAnHXB+kkQzm7WJKAs6GQaia+id3hAcdQmO2iQ7gWIhbBr9J/E\nUAAAIABJREFUabzVw5z1ccenuDTdqDAM2O0cGkA1p5pbPWWH7QZD5PiUJIkpGvsA9J6GpB0hfBJj\nUh8SHRYWe3yymaFnJhgVOjH7+/DkkOGzNv0nZRXeEJIzS/PNIcGLM//c+WaFcsMD0lya4s4uCJ/H\nJIm/RoMnEVnLMHyU0Eh9eKopB/4bOakpw2mhrIp8sE9xtEd24CdozghhryB82UdOzwGw3d7GLRQ+\nGM0Nh7jTc6LER0MBuMdbrLlOGzncJ3+yR3oYA+BCCC8K4ld95KTU3AYuTu+85srf2qUp7vyc4EVE\nHHnNDR9H5E1DdtggLjUnhcWcn/tCYxt0nYBRqgqANJuYg33sUYd8ZOcg7BeExz04vQDA9rbXzonb\noJMWEYPPs/5J4Hc55yZul/Xrv/B596Hv+aGVntuNlBOBoNOG155QHLW5eHebrOXzVKMLR3JuaX2l\nR3DSg5fH2IsuFMXmbM1TVUSOQr9K3khwjw5In7bJWwFFwyCFIznJiN66QHoD7ItXfnuhNN2M7zCB\nj/78R/jN7/12ufnI6ajm7vc7qOaus5GaA1/dNUkwR4cU73wCQPeb2z5v0EHjxA8kW1/rE3zj2HvT\nysIpm6C7ats02fM5Wu7pIwbv7DB4HI6q8EZdR+drQ6KvnsBbL4Gqo99Qrzq7rzmJY8zhAe61RwAM\n3rFHuh8ghSM+9dcl+UYX8+IYe3Y+2oZsIyY25aKNaXrvUuWBzvcT8oYfcIaDguhlD/PyDHtyCuAX\nPTfh/KfwIDW3ZxDLdc2dX+CGta3v1t03VZori4hxdED+bJ/0IKZo+OiusG9J3uwRPD/BHp8Aqrm1\nUuWtH+zBs8cADN+2R7bnc4ijM6+56K1zeHWK63Y3y85V599u+od7e9hHe+T7jdoWapboZRd5dYo9\nKxduNnEBqsYszd25OveS+U7g54Deuk9kYZwDV/gQ2+NTwiynHQWk+xG910JsDINDg5MWjVZEHBiM\nCG6YQr+/Xm9NPayx2YAohEeH2GZM9rjl96sTCPqWqJcTvejBixO/UltV01t3h/EQUc2t59wVRVEU\nRVGUB81GTaKdc78EIHKnRaa14orCT1LEEJwPiIwQHAYUsWBjsJHfyzcYNAn75QphUfj9fNcRZluF\n+ziLNBKk1YQkpug0sa0IGxlsJJjMEfYLgl6OXPRwWeq9gVYnMutGNaesFOewaQZn5wSh70JaRkBa\nDPcNg8OgPLBJIzREUYg5LsOke70yJHrF+13Ww7eTxIfSPvOhcYNnLQaP/P0SX/jzaX0jJfr6Gbw8\n8Z4Z0BzBdVLtp3p+gTHeo9EQATpkHUO2X17bokVkwAQBlF4ONxiuJ1SwHtYYx0i7DQdlhdrDNtm+\n384q7JfV34/7mFfn2LPzkUdzk70zO8+cmhPbJg4EE4bYU5/6wTo1V4ZvS1zWejjyKTfZ4zbZQVRq\nztvf5EWf4MUp9vRMNbcJlEVj3UV3ZDsSEcS1ydoh2V6luQ6hEUxgRg6JtTkXxu1c63LHgeKgTbEf\nY0NDMLi0c3J8hj2/2Cwv+i1ZeTi3iPx94LUJL/2Yc+7vlcd8EfjAtHDuk7dOXSWc7kmX7ql3XH/y\n45/iZz/+qfs47YWQMPT/DvaRVpPsHUd039mgiKGIBSfQfGVpvjkg6KaYF6f+Big3t1+Jh7ASfhBg\nkgSiENnrUBztYRshRSskb5ZhZv0CM/SFJ6Q3wL468QOTDdva4Xtffz/f9/r7AZ/D0D4sJ4zOcfjs\n4E4rM6q5ZZykam4RtkJzTR+2ZR4dkr/9iN7bm6R7fsBpQ4jPLc0XGfGbPvdJjs/8JKG+Pcx9LOTU\nFmIljHyufRXWuN8hf7LH4DWfo5V2DDYQop6l9ZYv3BJ97RReHF/mB8LGRD48ZM1V298BmMMD7NND\nhs9aZO1y4UYgOsuJjwcEL8tJ9PnF5TZRrCDUtrRzEoZIw2tM2m2/Xd+Rz60rmiEuEIJ+QXhc7kt8\n7MO43XC4cWkDqrnpmnMGoouC5NVl/QR3fjHqW2GFmotjpEoZ6LSxhx3Sx15zeSvABT6EO37pNRe8\ndeo1V98TWu3cXZpeDibAlLbD7O/hHh+SPWmRtUq/p0B0nhOe+oU3AHdxUS4Yrs7OjVLxksrOtXD7\nHYoDPy4oWr5YohkWhCdec/LqdJT6sAt2bqNyoitumkRvbD5DRVUoKY68UXt8RP50n/RRg3Q/IE8E\nZyC+sERdS3wyxAxyP7GpOvssu/S63XWQWR9QBoEXfnVuSYzba+OSmOKgQdbxnTsCuLJS6HEf6Q3h\n5MxXeR4McVl6999pRex0Dk2Fam6jeBCaw0+koSwg8uiQ4tkh/dd8Bzp4FFBEEPUdSZknHR+nhM/P\nRgVF3GBQKxJ3R+90pTkxtZXxCGm1kE6L4pH3AqaPmwwPAvIyL1CcI+o6mm8OiL7u8wLdydlGFtiZ\nxUPRHMZfW9NsYPb3sOUAEyDbC3FBmQZS7nsbnnrPh+v7QVw10LwSWbAEWzfSXDl5lkYDt+cHYXa/\nSdGJKaJKcxD0c8LjHnJcK1y3gQPLWTxozT31mkv3Q2zovbvxabnX8ukAc3qBuyirDw+H3qtdLRrC\n3TVXt3NRiCRJOYnxmssPm2R70Sj/WQoIewXxiy7mZam5s/PLCbTauc2i0lwj8fU7Hh2MFuGyvcgX\nIhwUl3stn/WRM794A2WRsnu0cyNnSLOBtP152f0WRTvGxqb8PAh6ma/Jc3q5qLnpOdDjbFNO9G7g\nHGAvO8Nen6DbILEOFzQRa8gbQpEILgiAhOhUkP223xbGRtAXCAIYDoHg6sRG5OabYTwkvjS4EoUQ\nBEgSe4Mbhdj9JjYJKRoBNjKIc0juMJkjOEsxZz0YDLHD1N+YGta4eajmlDUwui79PvYVBIWlmfvq\n3Cb3YdJ5IhTPfFeTdQLi/YjklZ/QmpMupjcoJ9OldzpNwbrr17wafIq58rSYUneV9y+ORx5Amg2K\nozb5fkJ6UJ5Dy/gKoQPfXnxW0HjTF3RyZTim7Q+2agL9oCgHX36nAYdxjrjUiklbZPsxNjKkR74C\nsU0CwlaMOSs9vt3+pd6yUnOV96ayebOo6U+CAAkMRD7aAfCT51YD225QtP05FInfMi0Y+raDXkpw\n3PXbCZWD3m0bWD4oZmquTXoQUSSGwRN/vcN2SLiXEJ75Ca056+IGQ6gtklQLh1fSkyZpr9TbyM6J\nQQKDxDFUHsBWA9duku83yDpeh0Uj8HVFSjsXnWeELy7g9Bx7Xi5ilhMtZQOpNDcYYqxFrCMst18z\naZt8z9u5qrp/kIQErQS5qNu5oe9Pa9tNzmXjKuraq/WvAJLE0GpiWw2KzqWtdUYwQ/95QS/DnFyM\nooEAnwq2Q3ZuoybRInIEfAg4AH5ARP5n59yn13xat8O5kWDN6RmS5wStFs00x7ZihkcJeTmYyzqG\nIkkI2yHRfgPTz5B+ikkzXLfvBVcUV0MgK8M7ZWCJEZ9bbszlBCYMIYogCrF7TfJOgo3NqIiTFA6T\nWcJBQXCRYgY58qr0VKapFz/s1A2wU6jmFEVRFEVRFOXe2ahJtHPuGPhz5b+pbNweb7OwBS4XGAzB\nOkxgkNwSBwYXxjgDNpRRaCGAaYSEUYAMIl/QYpiCtRCGUFjvOYTrYRq1BH+CAIz4gjqBgWYDFwa4\nZoxLIopGSN4OcQKIz+sxGYTdHJNbzMUQ6Q1wgyF2OPQrWZu2v/AMdn5fwVmo5tbCg9Rctb9lnntv\ndFFgSu9ec3hI2G8zeByTdrzWhntC1oxGXuHookF8mhFcDJF+GZbWL1fP8/xy4abSn3OXhSeNeH3W\nwmhdM8G1EoqWXxnPOhF5x4du20qmGUTdgvikDPd9cQEnvtDJynIYl8SD1FyFLUrvrUVKzUWDFNP3\ne5IW5dZReTugSBqEbe+hC3otTHeI6Q+h9Oy4odeby3Nv92Dy9a/VdQAgDL0HOolxjdLr3IopGiE2\n9t5nAJM7wguvcwA56+IuLnzEQ3kO27JQqJob09wwwww7ZAcJecvrImsHFLEh3ys1d9QkvEiR3hBT\nLQwPhrgs87attHNX8pJHds74xeig9AqGoddbEuNa3guZt2PyZoBNDK70WJvMEXZzwnOvucojaC+6\nqrlt01wKcnaGKaMGgixHBm2K/YSi4fvSvB1SJAFBGf1iBi3MxRAzTP14Drze8hxX2Kt2rvq7LKBH\n6QyRUnOU+fbEES4pvc6tBNsIsVHg0/EAyS3hRYqp7NxFz2/D1a3l3O+Y5jYyJ/omtiKfoU6Vv2IE\naTZ9KM7hAXa/hYtDX6UzNthQcCFI7vP0cD6HZRQa0c+QrPCCr90EkhdgvPEU63BJBCLYxBtw2wyx\nSQAOX7hJfMVm8J27GVqCzBL0csxJFxn4Dd9dYS8rm8JWDCon8WByaOqo5tbKg9QcXK2C3WohB3sU\nj/dIj3yxm+FRSJEIRakFcV4P8YXFpP5ah/0CMygwae61B2AZLeRUuCjwqQmh7+j9xMWQNwOKxLdf\n11zYq8Iafc69ObksyDKazGxJBz+JB6u5WkViU+bnub02dr8sbtOOKCKDC6s8PYfJHUE/x2SlPUtz\nJM0hL7xtq6gGl7UJjQsMhGVRqTjEhQab+EkzMBpQmtxi+mX4ZS/DXPQuc2T7g53Yqk81V2pur4Pb\nb48KKmWdCJv4/nX0ljIn2aRVGHiBGWRIbiG/nDxLYUcTYX+g11ulX5f4HSwqewfgAnAio6gugKCb\nYU57cFaGbvf666tUv0RUc1wWytxr49q+b/W5yJcTWvCRfkEvQ4rSzg0LJM28jatsW1FzVNQXqIPA\n2zrwk+fQ4OIQG1WaM2DwaXjDys6lSLd/1c5V6Xg7qrmN8kTvLOV+vs6C6/b8xCbLkYsuJoowJ36L\nn/yw6bf3iX21WBcKeTvAHoSY3CFFjFgH1iGVHqsIW+MHpK68zL5Qk3gjLoz+N6lDnCPsW4J+gckK\ngvMh0h9Cr4/r9bF5flmxeYs8gUoN1ZyyDmyBS235Z4GkKaY/oHHqcwPj4xbpUYO8U3oJG4Y8Eb8t\nVnnJgyxACj/xDdJKbP4/cQ5XbekR4HVWDhqqCAuxeM3i856DvvX5gKd+qyopJzO2zNEaFV9RzW0n\nzo0W3WzPImmKDIYE3bJyfKtB0Glim364YxNfhyEvc0cBb+cKV/6rPDSMih1SDZ9EcEYuB6qCn/C4\nS80FgwIzzEcDSgDXG2AHPsoG2LhdBpQFmaS5Xp/w3Husgr0WxV6Doox+KBK/sJftB6Xh8pNqKRqI\n9bVA4NK+Sc0WVXqrJtZOfF8rzkHlQBxavx1kNx3lxMpFz/et5dZVo+KNaue2k5rmXFEgeY7pDzCt\nys41sZ0GtlE6MuIAGwfkZb4ygCks2CZSWL94UyJjkvAaM34yXT4mEK+3Uj8mK3z6XT9FeuU2kP2+\nX5C+kga423ZOJ9GrxlmcNZBmflV7mCLWIsOMQASTBNg4HCXo28jnmToRXAS+1770GlaeQMSvRCKX\nq5JUhwt+MOrAZNYXbxoWBOcDJCuQ854P8+gPRmG0m7bdgXIHVHPKKqmFeDvr/Mp3uTJtTls0j9vY\nTrl63knI9iJsbEbeY2cEG0IeCnnj0mMtY7VQRo+rTj2HqFcQDOxoT8qgmyLdAdIfXhY2GQ6vFqtT\nvW0/dc2VA0wpq3FLNyE4bxCUW/+4RoxtxbgowFbe6UCwgfGTlaqYjmO0eFNNomVUF6J8nFlM4XzU\nRBm9I4Ohj6wZDC73GM/z9eyPrtwfkzRXTlil2yM8axK0Ss01Y4p2gosNRVJtjSW4AGxgsNU8p+pn\nr3wOlzqk7E/7znuy6x7A/hDXH0CpuaKsCK6a2yGqa+j8YnW1UA0gvT7SbRCWRTVdEvtUupr3GPGO\nEmfMKHIGvMeaeomb2mS5et0Mi8uIHUAGqU9JSNPRfs8P0c5t5SR6q/IZxqk8hM7iumVYT5bhjPFe\nwkZCUOb2ERhsI8ZFBhcF3vjKZbiYjWQ0sUEYrUxKXq444Q2uZBaTFn7F83zg83n6Q9xgAHmOzcpc\nsB2ayDzoHJpxVHMrQTWnrBrVnLJqVHPKqlHNKatGc6K3gfH9JeOqmnFZRr782zUTv0Ieh34lKRAf\namGdz5MxjMJ6xDpcVfU4zX0exSBHhqkPU8vK/YDLrYMoitVtzr4mHmwOzSRUcytBNVejzM8HRlue\nSbU1S8PvM+maCbZZhqElYblaLpeh2oGMQs6kuNSLGRajx5U3sPIEAn7RJs2ubOWimpvOzmgOrtq6\nqjAOZT5hVBYDK/P3q5w/H65dVQO7bIOi7pUpLkMhsxzJcshyXOmFJM1GHpnLBcLdDKNVzY1R01x9\nOyDiCGk0vM7KAnRVPr1Pgao0V/spa1tfmexSc5J6vckgHRVCHNm4NBt5AdXOTWcXNYcY37eG3qZV\nhcAkiqDcfs9Foc+vF/Hh2fX3w2WeNL5IGFUudWnjyDIfQQijLQJdYR+0ndtKT/TOUK9sS2n0ymJQ\nBIGvQhtFvihUECBV1eMggMhXTSbwRnhUzdFab3yt9ZMV53z1x7r3D/xrmn/68FDNKaumjIQAcLbw\neV1l+Jf0Qq+zOMKUnX8Qhn4xJwxG1UKd8fn2o3xVuCx2V3XqhfWVR2uh2lf2xVTNPSzqtq4oRhWJ\npV/aunKiA5SPvZ0zUhtcGnNlYOkqW1ezabYotwMs6pMX1duDZCzEmzI3VILAp7QEl4UXJSxtnzEE\nVbV3ET+Rru8dXfWrI83ZUfujKtvVftOqu4fHWIh3tbAiw+FoYj3awaK0cWKC0YKNiFyO56omC+u1\nVI0TrbvUdNW3qt4AnURvFrViUBSFT4OpbgRTenOqvXjBd/Bj4r/S4Vc3AjXBV5+jKKCaU1ZPfVKd\nWq+5wdDrDa5qrr7lBmVq4Jj23KgQlL2qufFjlYfLlYUcLm1dFSFR2Tq46g0cZ5QTXbNx1WPVmlLn\n2uJhzb7B5P51YjO+sKdqTrmR+kQ491GBLs+WY+d0LDeRrZxEP4h8hnrJeWe9LRYHRZmOWr8BxFwZ\nODrrECPX9/R9QGgOzS1Qzd0J1dwtqK+i1wuHiTC3eh6Yzuqo5m5JTXfANe3d+L4HjGrulkzT3Dy2\n7oHrTjV3S9TO3RrNiVaUEs2hUVaNau6OzOrgx9nCPuw+UM0tCR1czo1qbgnMY+tUdyNUc0tC7dzc\naE60oiiKsj1oJ66sC9WeskpUb8o6UN0tBXPzIYqiKIqiKIqiKIqiwJZ6oh9MPoNyazSHRlk1qjll\n1ajmlFWjmlNWjWpOWTVbmRMtIn8Z6AEXwHcCH3bOfWP8OM1nUBZBc2iUVaOaU1aNak5ZNao5ZdWo\n5pRVM0tzmxbO3XXO/Yhz7s8DvwT8yLpPSFEURVEURVEURVEqNmoS7Zz70dpDg/dIK4qiKIqiKIqi\nKMpGsPJwbhH5+8BrE176Mefc3yuPOQT+V+D3O+dejR/45hvP3enzs2sNfPLjn+JnP/6pJZ+xsi18\n7+vv5/tef/+15w+e7vPatzy9U/iPak6ZhGpOWTWqOWXVqOaUVaOaU1bNbTS3UTnRACJyAPw08KPO\nuS9MOkbzGZRF0BwaZdWo5pRVo5pTVo1qTlk1qjll1WxNTrSIPAE+Cvwp59wXROT3r/ucFEVRFEVR\nFEVRFKVi07a4+j/w5/Q/iQjAOfB31npGiqIoiqIoiqIoilKyUZNo59x3z3Oc7vGm3ITuK6isGtWc\nsmpUc8qqUc0pq0Y1p6yardwnel40n0FZBM2hUVaNak5ZNao5ZdWo5pRVo5pTVs3W5EQriqIoiqIo\niqIoyiajk2hFURRFURRFURRFmZONyomeF81nUG5Cc2iUVaOaU1aNak5ZNao5ZdWo5pRVoznRilKi\nOTTKqlHNKatGNaesGtWcsmpUc8qq0ZxoRVEURVEURVEURVkCOolWFEVRFEVRFEVRlDnRnGhlJ9Ec\nGmXVqOaUVaOaU1aNak5ZNao5ZdVoTrSilGgOjbJqVHPKqlHNKatGNaesGtWcsmo0J1pRFEVRFEVR\nFEVRloBOohVFURRFURRFURRlTjQnWtlJNIdGWTWqOWXVqOaUVaOaU1aNak5ZNVuZEy0i/znwHcCv\nA78D+Ihz7h+PH6f5DMoiaA6NsmpUc8qqUc0pq0Y1p6wa1ZyyamZpbtM80QnwJ5xzfRH5vcCfBf7d\nNZ+ToiiKoiiKoiiKogAbNol2zv3F2sPfBPzyus5FURRFURRFURRFUcZZeTi3iPx94LUJL/2Yc+7v\nicjbgB8Gvgv4fc65F+MHvvnGc3f6/OxaA5/8+Kf42Y9/atmnrGwJ3/v6+/m+199/7fmDp/u89i1P\n7xT+o5pTJqGaU1aNak5ZNao5ZdWo5pRVcxvNbVROdB0R+V34nOjvGX9N8xmURdAcGmXVqOaUVaOa\nU1aNak5ZNao5ZdVszT7RIvInaw+/AHzbus5FURRFURRFURRFUcbZqJxo4F0i8t8AL4DvBP7oms9H\nURRFURRFURRFUUZslCfaOfcnnHM/6Jz78865P+Cc+7uTjqv2ePvwxz7I+z7wnqntfe+E2Pa7oO1t\nT3vv+8B7RhpZ5r6CqjltbxqqOW1v1e2p5rS9VbenmtP2Vt2eak7bW3V782puoybR89I97fFTH/wY\nP/XBj83cJH1Sgvhd0Pa2p71Pf+IzI410T3t3/izVnLZ3U3uqOW1v1e2p5rS9VbenmtP2Vt2eak7b\nW3V782puKyfRiqIoiqIoiqIoirIOtnoSPR6GMSssY57jV93eeIiAtne/7S0D1Zy2t8jxy0A1p+0t\ncvwyUM1pe4scvwxUc9reIscvA9WctrfI8ZPYykl0lc/w+l/4/itf8n2/570z3zf++qKPl91e+7Ct\n7d1Te+/7wHt4/S98/9JzaFRz2t6011Vzkx9v8zXd9PZUc5Mfb/M13fT2VHOTH2/zNd309lRzkx9v\n8zXd9Pbm1dxWTqKrfIZ//o9+dWY+g/Jw+fQnPsM//0e/uvQcGtWcMg3VnLJqVHPKqlHNKatGNaes\nmnk1J865FZ7W0ngOvAEcAKe158cfP8FvlzXt9UUfL7u9dwFf0vbuvb1vAZ5yN1Rz2t4i7anmLtmV\na7rp7anmLtmVa7rp7anmLtmVa7rp7anmLtmVa7rp7U3V3LZOohVFURRFURRFURRl5WxlOLeiKIqi\nKIqiKIqirAOdRCuKoiiKoiiKoijKnOgkWlEURVEURVEURVHmRCfRiqIoiqIoiqIoijInOolWFEVR\nFEVRFEVRlDnRSbSiKIqiKIqiKIqizIlOohVFURRFURRFURRlTnQSrSiKoiiKoiiKoihzopNoRVEU\nRVEURVEURZkTnUQriqIoiqIoiqIoypzoJFpRFEVRFEVRFEVR5kQn0YqiKIqiKIqiKIoyJ+G6T+A2\nnD4/c2++8Zz2QYvuaW/0/Pjjg6f7nD4/m/r6oo+X3d6zdz3hrS+90Pbuub3XvuUpB0/3hTuwtZo7\nbNE9Wf81eGjt7bTmxjS1qdfgobW30Zq7QTNr71tvOL9r7S14D2yKRpbd3kZrTsdzO9meam6Jdk7H\nh3fWnDjnJj2/0fz6L3zefeh7fogPf+yD/NQHPzZ6fvzxR3/+I3zoe35o6uuLPl52e3/7zb/Of/ja\nH7nd+0X48F/9gSuP//Y3/rvbt7fs89ug9j768x/hN7/32+9kdNeuORFwbrOugWputzW3pPZ25Zpu\nentr19wf+2tQjicmvn/G61fsHFzt22Z852l2ce5rMOnzxvvW8fYm9L1zn2+9vbf9Uf9g0+z6Au2t\nXXOLfsc/9tf8A+fu1t5NGpn1+fV7oHY+449H7Y1rfNF7ZJHz24L2Nk5zN9m922h4kl2rNFf7vJl2\nZMLxN53vlfZg8vu3QCPLbm+W5rYynLt90OLDH/sg3/E7fwvv+8B7VvOhcqd79vL9d22nYnzxY/zx\nbT9nWee3Zt73gffwHb/zt/Dhj32Q9kHrzu3dSnPL/C1vWuxax3VbdAHupnPccu1thOaUB8VKNDfv\nfVnZg/rx9b/nsRfOTW7nps+sf95d7Eg5eJ2KCcrXxf896RwmN3z9vOrftfrs8XNZlHm+/x3t7Fbb\nufHf/C7twPTfctF7Ztb7t9DRtWw2UnPVNZr3+ixy3zk32V7MamvR+/ouc4QtH6vNw7ya28pw7u5p\nj5/64Md43wfew6c/8ZnR85/+mV+Y+b7x1xd6POFGGb1edrw3vf/TP/MLV9rpnnSXd37j7d10PtMe\nz3t+Inc7v3nP55btVbr49Cc+w0d//iPclVtprroGtYHZot9xnKmam7P9O1+D2ncftTfr+1XHV+c7\n9v7xe2SVGll2exuhuQmvL01zt3y8zdd009vbWc3NshNzPL7xGizY/rX2Prng+X1ygt28z/Nb0I6r\n5pbUFy5w/CbZkU1v78Fqblwzd9Xcou3dtx3e4Pbm1dxWh3PfxHjoxF2Zq72bVrJrx6zl/B5ge8sM\n/1nWOc2FCB/9uT+/vvbm0PJHf/4jfOjf+OGlrZavXCPz3K+LtFc7bis1p+1tbXsbqblp99fY8+Ph\n3BM9zOPev7q3ZsxLc83OjZ/HNa+vAVtcb3/e85vx3WZ+3/Fj6uexADOvx6K/6U3tjX3uxmluTm7d\n3hRNj/rCijl0P9WjVx8fTtPT2PE3nevW99W147ZSc9PGX3PYi5nt1TUHk/U1j+2sn19li5y93vak\nNu9oR6Z9v/HfYBM1t5Xh3GtnVijDvCFrq2KRsItlhWg8gFCPpTErhO+2OpnRMS/UxrzH3zSgHD+n\nu4bALXrsLLZwEVFRtoZp99esCcZNoYz1YyaF505q+6b73BY1W2X8v/p5zWpLaqHd07gpRLwKE7fF\n5LaqEMrb2L1pIcyTftOHzm1SCCa9r9LnpGtWf27adZk0Dqi3t0jfPP55Oj67fyZd93l0A9fv//p1\nv0k7855PNUkWc11To/bt5HZuOv9pn78oW2KPgh//8R9f9zkszKA7/PF3f8e7eN/veS8zco/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cnZx6kfZD/2OH7uxOXflbOJ5s5e6KVIndZB5jDpt0j/D5IvqGPXOBXUjF3zTcfK5RUa1zfet5XK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\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Kgd4dYunSEMcOXvsMIF0e3nPXEUpq69LmKnvx0Ob6shJeIBUC+YcnUDlDesSdDZ0XmQHw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bJsWq22oFmqcWlhTpMe7GgXKpGd4aKznSrqWu0jM3FY0wb1IrKYFPhnxMhvU6zVUAdzOQf8t2\nqz4mBGWNiYKcTc0UGgBoTyPawiNIJdBCXhEr0VLBEZ6fVHz39rLqtF+tho5+rK7KuftlDzrHt3GL\nRe63IBUZhMuuxyy20zVNWpUJVW1H7fxKXiOqGXfaaEyQY+cQixrygceYtnKKFaaxtkpdgp+SIJx8\nErMLPiEKuEVkG0U1bXWP5xMVU5IKoyOQCjsERkXIPBT7y/NxTAVwtdbKZtp/vBbtex27e5jzUmSF\nQfQM37Uw/MzCZeU+egP3RRwT61ardbyvVPHXn0baVUJqhvxYeu/7gd9IVZWS+bYAVc6BQO5fW+j7\nFU1aqKn5gIAJGmgIOXwbAMhpwckt5kDT5AiCtgNcn8aAc4q8SpBlYuSMLQZGypDea0EMelPhdZSq\n0AaJRnWV8ZDh+1zkqwkR/QdYtAAjzVhfSc/DoiiC53Nsmvz+R1EvqTJrz3tZO1wsLik0Pz7jqkqI\nMoDHZdsCHRIKR3QjZDtBMdhxaaHf4g+BfU9FBvVe6Qc2xlG+eyEWbePEbWhSl6lEPwfgCwDuxb8f\nvcQ+dmN2EQ4meDFBlcJeXcUroUJ3cpEifXFGeh5nf44tGuJ4mmqpcndGXvggAy8wzMEfHWl1XBy7\ncLYE9sFwCVEmrhxDcUU9UPgUjoUO0HYILoqdRTXPcHbGglMrDqDFyXH7+/Cv31fYtzow8kLaan0B\nIdwZrHZCVTi7T9kHxQSnokspmeKXy3EO666sDJri5MrV0ihwZpM4U86znJqFqRdw3NC1KSngjUMw\nJrBlT3FEkTmEwHz7puGxtFox3Ft+s1yhfutbuAp9HFEOPsAfPYBfrlDdOuTKdd+DDm8mB7CuowJ9\n7Ed9LBSHniFD5ODvvQ66cYBwtmTKgAgNOUL/4FgDOzdrEly6SI5sFHMa3NQtExb2/sjxSh6h5WBt\ngNGnH4SsWr0Ls0rJAtHmY1nnwgOBsndUFgkLa7QcIAAGZhuPJUFbM9MgQyvyCoWKkH8DZxNlZRaE\niwvq6RkHPM5lwiPBiDzRKgrdVEnIjiGNFUKTuE/U9dzJwIcEAZN5yfwtXFflCgIJQnmWAoNwfJIW\nVKE0ONJ3wiYaNy6kpXiTTfIV0NnRBK2dW0fGVwmDtmKZD4VeEwPcQRDV1PBHR9ypQT6bNXCHN9Df\nu8+XGKHcQq3R6xqZxwdoIlFXNYkH2tvjfuWIQR4R0MzSfY3aH2HeJI5s7zkAWMwy1Iz0oM+u0/Lb\nux60v89CQIZTmgIXM+bEMQQYOimIHAmQFwsOgqNiPd+/BdO3lBu+TmPOCLMBeVCBqgIVn+n6Is5f\nMD6NBJdW/FITMFuQ9GUM2mTuWFJ4l2ZQZ05EnoQi13aGfoLh+htF+8K6CLQsYgzIk1D20CZRRLOG\nO0OIzsOs4blLhDDFmhqBUtIvzJoUWOsQo2y8hSY69cW6wNDbKh9fZS/nmFTMINhEGZRXg7CuS8F3\npKKo9yP0hBDSOymosCI5F0IstpQFIuHdAvEdMHoHnos5PPaMRkw3LBQojTK7GcZP833sGz301Xdi\nRJk4LJDWOTlHwCRgXJWSipJQmM1ATnQjOn5PbTKi93AHe0mQsq75OUXIPsDJwSBdIOQahYNr7oeu\nQZajHns9Z2DZGKin30VRSNlX8Xv997oFFg5k/P9svfIBgTwIqWgUZH7sE7xauzNo8pHifGnWUAmg\nvYcS/YVj33UpGRg8sOoQJCG7bqG8+yLhHkKaayXZJyOFCw4uS/I4Vf7HMIFnLPR9Ct4n7DJB9P8d\nQnhG/iCi/+AS+7iSZX2iDW9Lb0aRaStx74B1nMtq9iXhyoazKWrdoya9gdXZJZ1wtDosk7jAStsO\n5NZwccGlEOCPjlAdHiLEgUXzOQ8igV6vYuuBvT0OyLOsjNNWIxvh7lNZ5guK4EzaRQJx+0IXvZmz\nCm2coO+86+248/Tj2FmfaMPDf/Ezn8cLv/HZdBmR755ByjVDNkQ1aJbcVrKNc2C5twJlVqErOcYF\nEhk2QVLNZqyEGysJbn9f21eoIvveQttZhLVAuZkK0D94gCqOtf7LX0H1yCP879dfZwfo5k0O0E9P\ned+xFRPFxvYUxRtUoMToB9iWTVnLkosunJPv6DnJmrEA29zzgbCJRWnUNZ743m9P/NQd8vCBpP0w\nCnopsqd8bh6hiwFa0YZo0xgSwcRB0oIo20/SkuATEgfDSWsPAP1XXoHb34c7vJmUbBec/aez+Hcf\nF8BYuQFgqopOs9AhJgzDvAE6p7/lg8a/1622bNGqj7S1aQ13q+0UCcT74QBOhNoAqBMAJMfbIkOs\n46Wfx/uePRf9t0trBJCvAemgGFgRWCudIe4740TvjJ/6AYQu7xMta6s/TkrRVFXoX30tVZ0DxaRr\nzj2dslF1cXMPLL+X6poD+NUqOfZRy4H8XgqGFnNONp+cJREvE6SlHRInqEVIR7jUXZ8QDiIoZrmo\nErQoL9srtUWd8qpSxecU+HSaeJLr8fEzd/OGbhNa1h9QxfP9/UF1TxX3pbID5MgYIKsipapNd/66\nIc5v1KQAoHouoeW14M7Tj+PJ738HQISDR29O72tL43nuAwCAF3/7C7j7mc9nyZdgEAMJJSPn6wfz\n8aAdlyP9jQbpsdLnT09TgEIErFt9tsH3Sblb5pqmBvp1anMlx5X5q+QXV2mbIFVge74qqBnP3VaF\n7XaFOCMnE/lcBma5odYXEWRjb+ZCVzECx1ostlD0nQETYIpP6gPg16MJxtCmxKP4FCQtvrouJRon\nEorpPNL3O5/nbu1FHr5PlBhbiLOce4tOi+eqXGhJpIReBQD5b+YdK9IOAJEDmvgMZHzWdUJQAZyg\nEYSD3I8oeCjrVjoNivxpCeTb9DnY1w995GTrWkkmQRDvb+xeQBYdZpGPQGpvWqxZ+sQ0YRni85aT\njKgJUyASJGJYtwlVtG7ZR+i6tE8fONBfn+h9p6oaCKGWgnZU11nhIbSdxmQqxhoSIjd7z0zy4s7T\nj+PO09x8atec6H9IRO8B8Ifx778K4L2X2M/AiOh/BnAK4BjAtwN4JoTwJ+V2ymfYpp+rVC+lMlOI\nUWkVMG573r6y8zWV2kxcakOFwC5+AEYzvFKZC6sVZ/JiVs6fLbWPnV5DHZ3EEBJfGlCouD8746Al\nCm1wKyhzzeUlyiS5C5iWRQNseY81gDSBsfS2DWNBM5BeUnid/O5++nN48be+gNB1u+VEj560y0XP\n7HnZ65Wq0xj33lIOyqxwfNFzZ3MkmppKWpgAXcTiRF0ydB33ljY85LBcKTRRFWG7nhUQifjYZwmC\nKIrFft3CnZzErLmB4Mg1x+yvF9icFeDLzjf2wb1I9fkhGVdyEyd6KskUuu6h8FOVE/01vg/X9vVp\nd597SZPIOxlzD87w8z/0v2SdJa7t2qzdfe4lvPg7/xJEhF/4vZ+68v5O7p/i43/jUwCQerZe27UZ\n2/na+nrk4a8fAprn2r4h7O5zL+Hupz8HYPOYu8yM9R4AKwCvx7+/7RL7mLKTEMLfAgAi+jEAHwXw\nQ6Nb0jCTPwiqCzhdMCJB/L0fbreNSXujKXizBHUjn2mmvoBKZ9dlAmsLIREYl8ruW0dHqlESBJv+\nigIrH834l7CVXTvrU9XEGDhJgD+ANcbfZArqNkiMgacGYhZNIN8LB2KXcO7yGiz8srzGUFAMJrYB\nkOCeBTx9sN3UOWxp0hcUgFa5/ekpV4VWeSBNB6mdSTg6SgqIXadjL6xNoBt8qqK4IssPwO3twZ+e\nZgG8Xptce/x7VB1z030Axqss51ReJqGKBu2QoaZtkskm5kqEyS5sy3Gb6QDoiU5U3e19NfdF+F7C\nV8ruyRQM3lGmZkmzGScbXr+fzsE59K/d44oaYuZ6uUrwsqZhqDeRwrRDXXFmfGVgVAI5lPPRz4za\n7brl7P26VUgmQ8kiVExUayPf1nLOlHdZqH5mJglQyu+jbXU2uf7o+yw8tBGedXmfJbFmK0Kx4m37\nl2bJyqta348H0EUSGkDij8fP3P4+qsOb6L7y1cH7W93mzhG9jA1g/B23VIUQ4A5i1SkE1mqYzdC/\n+hofb28vvXNxX365BO3vMYLBtvqpjcqyj0rNB/upwtj1INRZ2zOyVULZrnKqcAvERHa8/yTvUNtq\nclsUdrXKI3PvEc/Dwd6Cvo883aD9hoE4Z2fQyvPbp01V97O5sKho8/W0ipTS/rmrVRp3gh4Q/8Kf\ncyJbmqzjG9Xvo/+U60H0iRet71bI0CE26entvFb0BEbfsxin5+dIB/upkkrmvITD6pIvEqQrgdwO\nR7Eql2C6oZF5y1xSCIpk4HOP3M4xPyGOTasBQH28BuXMmsp8Fd8BWzH3RgOHD8gt5gpUlbTETLee\nmKcu1URHgECZzTykCWe5RvFL7RpaojRLlCEwnGvMvnZlY+u+BtUGMSQ+jDdIk2DXDAAuIu5g1Z99\nD+ecIrMY3VdzBV+KFNIWS55R2+k8lHHunWOEjNzrTto9JT69VnWjUYlgAdJY8x5w8RzqjtFbxlej\nCDkP2dwRsrmCz4O1KuAEeSTvSTy2nJtzCNLdxcC9VQcig7N73Y4qpxV2v27zdmpxG/iQdX0AAPI+\n3Y+zs7if/FpCGHL1R+OUc8bcZYLor4YQ3p2OQW+7xD5GTQLoaA5ckd5sJa/svGMYwniQAGsCBjR5\nSMt7AxL0yVYixyDiBop3rkBMGaDZaxhz+u2guqCNws+3nbA2bTfCrwKQYO9GACv7jdlGobSOBnEl\ni4KEbPsMklGKD1zVyup3WWkfOY4E0JNc5sI5yv6/6VRUAMlC27a4TrtNEaRpkNGumSogtIK6SZBZ\nEWESTmDl0nsEMzZ9D1Sz7H2yfU39ukW2shbXnMGoS0X9qescg4dtupeFqv5gX3ZuyGCEhktktBS2\n6gt8EbOoBrGR8XaukJ4uUC4la4DENfQhdxCmOEJCRzDtSrSVnoh92AXN5UIeALTNXi9w1cNDFfQS\nhA21DlgWHQ7qih1CCx+MUFrpHw3vgeUqJg3lM4ewWiq/EQBDuc+WySEUnnE/sqiac1B+pkXFTNkm\nVAiA4WRmfmqhkPKzPh/boXS0d6XeHp3Gcm6uDm8wPDCuE24+T62QxLxH9+WvRMhsggbSbIY+to/K\nxK2KxJibz1PSOAbQ/uREf4emSRQsxOcxnyMcGYh5FAsKq5U6tFitOMgwSROqa6axiHDZYsEO7GkL\n7O+la1quVPdBrQ4aPGpLlxAUfkk1B4S0WCQIrveZBgX6np3CvYW+I365hCOCX6406ZS4qn4Ifx8R\nxEk3YsNcYLpIjM1ZitZbFWtLgYZSFNwurHSCY2s0K7oVzHso/HHI6XibNOAAUOcpcf4LP0RRVkqb\ni9ctkH2A55xZwyKrAI+FFioSpefbxSSgrIOOoba2hRWFIQc4EAsnSdKEnAOLQYb8nhDlbbUA3r+d\nDx0BgRKEXPr12mckQrMyNkRXQIRojQ0KGrb3to/CV4WmTabtEH9XXvOgw4qhDlCRmMtPaIcFHrO2\n2flW0JpZsOYcBsJ+to0pAJnvrM9Cs0XWmo4ExSdzhljUEwGQtEGCSWzVlbZoJAlOXRQXtWt0G/VF\nbIurCPnO7p0Ia8omcX9wLnvegnCVc9dTknEZPM+rZr3V5ICh5knLLaVmdcbPFd2VqsoEbHm7Lksw\nlW3s5N7JWMyEBLsuaQEQJwPsWhUwLjJN0k5Q/fyRglb5m3DBgUlE/w2Al5Hg3D8QQpjW/x7+/h8C\neOvIVz8eQvjNuM1tAP8AwF8JIbxWbvjlP3ol3H/lQfkxnv/U7+Izn/rdbLIcbV2FPGDOIMSljYhf\nZUJEZVA1feHJibX7vgAvWGHNE3DxjUmA8441FdhtdWKXyBBOVbesInV5zzYI8wDAO9/3l/DUD/6n\ng33eevMh3vrvvflK5egv/9Er4f6rR2kCicf+zK/+Ezz/yX80vDYUga5NJtA4T/9ragKdj++LWyw4\n2DhJjp/0Dg3rdRbM6rgrqlXnBr1XyCxvm/CS8x4ka8bOwwbN51So5fgPfcxtmufGrkNsal6S6hNw\nfiJvwgb8/3g8WYCkaioOMFcmYqAkHPkYELi9BfPsDw/VsaBZwyJ0dZ24VvYaNRllREmAvKIsm1cV\n79f0ssyy2EjJgOy3hc5Cup6kZ8DHnpgr7bOwyYvz5lXLvyuSHnIOT73vL+Kdf/0hjbl/82q4/9Wj\nzIECEZ7/ld9JayuglUNNogDTSQhz3dXtW0xLikKCQEyojSia22dSHd7QKraiGlpubWjfVbe/n8aN\nz5+zGB2wVoMVl6PFgoMnw4OVv0GUqtpVlRzH+Dt/73VO5uyZ4LtyeX9hIEMkUVWpwnmmGF0Eytk8\nPPZ+Zxe2ZSC9hWX+UTPDO9/7F/DOH/izg+Pd+qabD3ee+7v/WN9zobllSf/zfC4g8SPtuxTVebUv\nt9mXiudFB164rQB4XElSxSolx8RT9oxqIzDpHKMc7PnaHtQS+GqAEgZzOJmEjBYKbJ/puuKkjwTy\nXT/wXTnZmQTzgvDwrS8S1/HSyi4VmrC6KPqq9KknOhq8873fg6fe+z2Dnz/MtfUzv/pP8Pyn/nHW\nr9odHMCfLRMyJQZuY3O5JhqkH/OsSfOPiLo6Sh0sZk02v2fJXlnXYiCs3SniZ6Gu0t8AazpYlEFU\nZs/4+xKwS/cLIKl3F33IB+rvvkiYBKNkb3/nXBoTqxUwn3PXA0E62vFi9h9EN0LuDVH0NWMCvk/j\nueTiCz0QQEpwaLI1VvurStcTt7eICJu848RTH3on3vnu70Zpm8bcZYLoPwbwr81H3xxC+JYL7WTz\n/m8B+EUAfyuE8KWxbf7gc38YPviOv1mIF+QLhlSOMlhI4QBnjvgmuOhl1KjLoNQKwpTB9BtkUwmF\nnVSdL7qvi1g5yUYHa3QCl+9jAEezGT7xz34C3/r2b7nSpCtjrhwnWwVzpTO+zbMfGXM6bsW53FCB\nGBM6u0jgObntNsmiyz7/CcTCpY91kXMZey9HnNZtlWqf/ezP7W7MTVlZYUZaxDUrK1VW81k2dqMz\nkDnvJXICG+aO8nyKiig1dZ7Zjc9UAiFtYdTM2FkFUiVo1iQBuqpK6sU2G22rLNImQ/4NRj9QU6cK\nzIhZdXybYKCqyqG7fZ9EimxP+Hj+uq+pezOFKig3LSvRJrC2ybdyu52MuZe/FD749h/NPxSn2tGg\nh/tAxEky+Wabcl9Tzqck4gDomBwIghpEiKIC2rXCvkOXtEToIAbbZ8tCsbbmIGpvD92XXwEAVI/c\nQliu4G7egH/AgmZ0cJCq2BnyJmlvyNjwp6f6b1rMIZBxtdKhjqJWfD6pipUlMTGdYJgyhWCv10qf\nKU2cRmDY2sreo0EbGfNbv1ohrFa7n+fsGikJv7LqZITCNib+y/k70r8ApDlpxG/MeNkR/qyfSQtS\ngWsjBhOzJjuedsQwgTZJ5diia4SOYtsZAXlVUD6TgJsoBdJaTfdpbOq59/m8Fzz7DbbySaTBRHnv\ndP6TW2iTjOdQIc+dD4tjZc9Rzl2sSNztcsxN+jkj41ADN+fMu5u3HrTJ4bBeJ+g0OJmTAmNDW7Fd\nWUxSUsUJgZRkkedh1z1JiFQuE6YL0jnA/r4zPqOdT0LIWkrqtno/KFWwZUx3XURDVCnJGO9PyP7m\ne6efrVYoBfhKSgBg1j8RLzW0T+v7KCIimiLhCoqAJs7sfQRG29HaORmuwrN3f3pyzF0GA/aREMKf\nl/8AvP8S+xg1IvomAM8C+NEQwpeI6K9MbtvMVOwHYCeLsgEoinVDDmASS+qGE+2YXSbgtfuKFQz9\n/GEF0GVWqDylqQltKnEg/xQYxKaKYrkvoryCMmFU1+cruZbVGPDAL3kQ5TnaNh87M8kQy8Q1dg5T\n5+T77GUfNbNgWMucmuhIjLZSis5CBs8XGNwFMsaT254XlNrJ+RwbKHtug4fe5n2d+t5ViT9kFVll\nW9/n5xQCFPomz1tay13b/V+7GQAAIABJREFUtV3btV3btV3btV3b/2/twpzoEMKvFX+P4Aovbf8I\nfE7/a4QJHAH430bPo6iyZf0oicbFUWxF0BcZmV1XT8UKbu9Gu+p57PIaTKC/EQprj1tyYc7hEgBI\nCuPWrEiT7FMrbQYGXUAqbaCp/d12aAKnl+oazWbcKmzMjOiZ299P49GOP7PfUuyuVI20iIlBD+zy\nuZdQ04c5vkuzkGh7XaPtlNI1lZVPAOPJpqtcR+QAyjjJYN5jwklyDtk1mUpgFKeSdnEA8me9K5sQ\nTJOqKapK+6RmSR2BKmoVLfKGXOI0y74G/dcLG9yXDWKKWSbZx6SQ6SXK+ysFPTz8Mh2DK5qpChd8\nj1A5FT4DAAK4N3FMUNKsUei4Zpx9D/RFhTz4IRwvzleax3FRrMinPrW6z9CluU3WnwIOmSvphGHV\ntujxm92KDe9BJmi24/mNdzryfkVRzoHRhLjnpsTlBGVK5npNfq/6QU9frUJrD2qL9IrjSo5thORo\nPs/bZd2+BQRCODmFE/GZugYt4noUOdHh9BS0mMPfP1KRmv7kFNTUCmOk2Sx1wmijpsTJqULVFTaL\nAH9ykhAYZ0uT3DS9iiuH0KY11/LCbbVuTMSwOjxEf5y21XmoqO7JNm5vAXfzZnZv0omkNjX2OGn/\nOxSAMAn3xGM2VIsqn6+yllcWlVXuM0MC9tEPK7YZ/MZnc1PoWj6+VMOWK7iDfdZssH2g12CIrFK4\nZIwayuCsAdZrI5CYfq8onJZbDMIRMrGlEHIaivitBpWjWhAWZu4DgrTBci4dW1szhdSL3CJKYhVa\n74XM6wqRzee/0rZqxTmGrBipQOsasN7hmENaqzOutynKATwOXYRYq6aL8a+yd5BI0VIioJrRXUIA\n+XjPfTpOCB23oRKLiBzlFVcVqJeKskEjFFVZCoHRCuKrAIALsLxinXOahIgg+Q0RQ7/lcoBU8fYh\nVaGNjx/WLWuSWLg4kNrELZeAi9oJ8hxDAFGEb5sxEPo+o2RRI+KM8e/ZLKFP9Rx6XvftnCDiZm6I\nVNZ9icgzMKx8l5RZ8QEnbOsgmogohBCI6JuLrz4QQvhvt93PJgshPLbNdql/KuHu81GGvIBKj8IP\nbUXQ/E0VV6gy6JTYZaDcl7GHFehMQQa3gWdedFtpM2W5fCUnZxvz3NLLJjkkyJqC5gP5IpD1FdxV\nn+hf/EEAwAu/+fvcs9dwxkaDrxhAqDNjEgJ28c+oBWWQPQJlz2zi3rrFguEvb9T4HbEczjjuhOtz\nHXOYx8bcttczwgUukShZcij45BhM3X8bbApfx8C8n/iL/+Hux5z0iTYtPtSRMciE0jQpMcaBtoEb\n0fB+yvu3yQy3H4jOpqPB70reNTniBU8CU20zmAfuY46xPi9533VhFBXepBRv78hYoJeda0m1Ka5v\nECCfh4YoofUj89PUNltbvPad90893MMzn3w/yDltnzU5z5GD25tnSSPl7hb3ZavrpCTgMwazVIi9\nOEfCg541g04VwvUEACfOU3TK/dGxQoMliA73H8RjGFhg38NJ0C59hhdzdqaL/r6h7VAdcr9nVTv2\nAb7LBfI06SrwYpO4Gwtohc5QClDSYl+5u/29e/z/Bw8GNInR+TL+bfUu1EbmSQBJ6AzAE9/3HXji\nL30byLkd9ezdx4/88nsRAnD307+f5rlgHHgxWTMkGbcuEsqAJq0UEr9cDmHC9h2WIKRucsqCQEVF\nVwE8f3mbfEEclxKUyi6BLOHHbSFzWgGCEckLJgiJ/YC1HzpFGLgRPhNIuRVBY5qBFRFDmtfivjOI\nuZyXCSjs/cjaqWpSqxhL5/l2m/zpkd+mJJO8Jyyod+ept+GJ7/sOADtaW28f4MO/8B6g79Wf0zFS\nJJVHi0gT1DNvkniEmEQzAWaIdAAt9sjv5V3TDgJdxpMPiMkRUfuvKwTvVayLt3PDbjTkk1iZ7N8R\n6MxAqquK91s5UGs4+nY8CfWg71klHDHhEzyAKtMXQaQW6DWfLfm6K5t04jar+r4QJ3y4wJGEQoOB\nd2dwbmPSZUb3rYKEjew8FRB0vl5rUlbHvunIAhQxxKHRuyhsa040EX02hPAOIvoSgC8BKn62U070\nNpbxU0cW64HTZHmMm4LVKQddPi+5zWMVtzF7IyuBD8usQ7kFN+tc7tvI/jfxayarr4avMnjJ4vN6\n9sWf3QFX8Ivhg2//sbTfTZnvsWvYVJXdUnAoq5ROHa9EW0ye0HZj8iI86ksdY8O9vNKxNxx/Gx5U\nxtEccwTMdrYllGTrP/EvPrZbHn6B9jivyq/XKSIbwPnjRWxMBGuLMb/V8zL8JDmnTEywPHfDOb6Q\nEN+GOYqaWeYsi1MuwkXZ+Y3t4yrz+aa587y1CRhW/+O+qK7xid/7qd2MuSc+cv55xHPJBKjMOptx\nIsuxhemxMuDKmzZLo+v9RCXS7e9nwRDvxArU8Bpe3YqiMlG0jOra8Ipb5Vur2M1iDrStqohLVToL\nmICccwvoeQ+C3NI2zOuKhBCEySXG4DbvkWpvbMFrffb3/3t86+P//tXG3Etf5HnunGS/vLdASqBY\n3yxTdi7vo0n4AQBVbtghQqzwLQbiY9GvsPuDIxVy4v1X2TnYIHWMl6mIhRCAttV2gdn5W6FSV6CF\nNEgy32nSPn7nTPLVVMNFKDFDCxnhtfjhNP1xU1LxIknvkd9nXTHifnbGib7z0bzKaNYie68nRWDN\nM9FuBmaedjdvAm2bgkIjtCnJCa0SF0JuyrsH+BlIq0bZV9R1yKyMS5qGj20Ew7h1VeRKjz0/Fen0\n2dgJ3qffms9EvV6TAJKgEWSFiImZ5A63So0Bueyr69J1isUA18l83PuhzpUdN4JmiSgdpYk6GqKj\nrM5IqQhuTN6JTWvr1pXoEMI74j9/OITwaSJ6BBxI39l2Hzs1G9huyHYN4GWmcjSYiCccUQBctSjh\nf/LP8xzHTYvdGxlgn5ck2GSqhLvlpDixzZQQ2OaAvIRdca9WfWbVbLzNzy4rsCIacxlldiCvNl/0\nvGK1MEyMv+wcth1L520ni/plgtiLnMuGe6HQ5Mu+IzaZUFRYRgXCDGpCAwPTfkMnbLPwcuY1VTce\nGsQ20wTwGSx7CqlQjtPRwGXkXdGg1i6uZfA28nwVklvALzMr6QVCTxDIZbmt7HvbAHpq7FmHtliA\n5bwziLnQNja1E7yIlec1No9u2u8okkMc3Eso5G4wRTGUAeDBgd4PvWddl6lli7BYBlE28Ge/ymGu\nYm5/P3e0au47nleY83Yj2mt+JBDyp6d6/jQbaWUXv7N9qwfnVQRCAOBPTnOna73mdkqzWe5Qe4b4\nl++C9ou2MbScp1Q9p8ac7CsijNw8BXFj1bLRav4575He0whtlv3QbKbVo/wgG3e3ncl7MUKDyJP2\nHmFlnGMgzSeb1kdBmARv2llFJIAVXiyoFm4WgxCzLtikaRbca6udeHhpbZRVeIuKr2l/lHpWy3uS\nxgBXLj2CM4GKwL1tYBw/T5DtoGKIavGc0nlwkOKXxRxCVAjvuvz/E/d6MOYsoqv8XWkj7YQGwoKl\nAvplzYzvbM2MCTZ7DeU5KMoPZszIXGGTvstVdv+lLeFQ36ZIiPQ9tz6LSKkQOp0bde7R6qlBTwFA\n36VEkyR1PPK1rpklnwicUAIRtEd5/KzsER1Cz8Kd9v73PXCW+j5rUkCGTV0jnJ3lwby8gwUqIvQ9\n0CbfihHCTd7bPYQMZZbmDeMrCPLLolbL9dYPt8/mlQv4v1sLixHRzxDRL8YA+i8D+H8A/AGAf2fb\nfezM4mDlXoLFS1cEKVM3QRYiAOPZfaQJU9XzyCj0ybbWuR17ubcQ13rDbGoCm7j+jdtc5bqmMpcT\n+xz26OuzBd6+LJrhe0g2Op6mnF+ZDCSj36dsbzaOxBEoIWbWib3IwmEm80ubdfinnvcIJE5/W342\nZlNj6BJJEHs/p5ys7Jx8dKKyidPl21jOkwmCaD7Px5mcb4QQniuUd23Xdm3Xdm3Xdm3Xdm3/VttF\nhMX+XQDvif/+KIC/BuDXAXwKwK/u+Lw22sHhHn7kVz6AEALufvpziUMDbIaHKv9uQsgIGFZyTKuY\n0K5z4Z4Q8szZWDAl/OwR+NW27XIelm2sTI1Ydg2h4J1fpFo4BTcueaglQsDC6U3F0EI/w4qDpjtP\nPYY77/pOAGFnHJpnPvkBAAEv/tYX8MKvvzh+rvH/bn9/KDpmMpwlBzhBcOI9Le6l29ubqAQUFfHI\n45psZVYcbysrx7n9XK57bH/nHWNbuPAW57opc2w5dFqNFn6ZrcBWFf9tgvis17UI+tgqgfn+ztOP\n48nvfweC97vnRG8zz01BXeOzC32RSDDjxnKbtTI8lcTY9DxCyDPjI8fKfq/zSd6ywwry6Lmfk6zS\nJMfIvObmc4XgDjh5CpHP35tMhMie+2Xeo1C0nYtJ2Sno7sZ9K0yzfyjaDx9+9q8DSDx8gdGOcWip\nmY1Cky0HOqxWKK+khOlK5S6YfZ0nNLhV73dgKO4IDCoYQsMI7Tq9J6KdYKraklBP1aWo/+ED/Mrs\n31Wpqou01veRe+0WC/h1mwmEiYiW9IaWY1NVgfb2cnE0478MEn1T92/qVhk/RIT5smockQr6uMUC\nT7zzbbjz1GMIXYeDm9NcwW3t4PaI9oOBpg6Exca0bjYgYGzf+uydkuq1SeZayDicy9GKiNXEPkey\nUOUQOj9a8bW9avX59BbhI/BXpHOX/r6xeBA8i2BqtS9WmwO5/HpM2y29Hkdp7QtegQOJ67zi96hY\nAxACVw+zVkw5OmFsfE1R9fR9KRGd51n0ae48/Rie/P53AN5v5Kduawe39vDML78PQL62smjsRA/r\naEwDKCqg3mwPvoc0mwFtri9C8bkqP3jGAl+W208Rbp2J0sV2rSX9lkB5ZbfvE9qFXAbbB4CwXHEr\nK4NYCKuQNB4UqYFUPDTXp+3c4raDdZkI4ezMUAN8orrIPsQ9sO3XyIGc58NZ334+T76xpXiZanVq\njxXHZiFAqdufQ1GzrS7drMET73wbnvjL/xEAnqOm7CKc6L8dQvgJInoTgP8LwFuj0NjfDiH8xFY7\n2ZFt1T+1vK7ihm3NtxQBq8sGvBuCy9Fz+BoKQW1tBh61ESqK3JnS35YO9SZn8iL3bsJ2xqERrmB5\nXhJcmWDrXI6qhYchX3y2Tk5YqK7lBl5kDBX7H4Wrb9h+o72RY1kDoWJcyFjd9O6LAxGMEuR53MFN\nQb+r8OyLP7MTruCHnvzotIaAtctAjIF0HXZRkudvoHuDfsBjQlFXeN7bvM8lT5o/NOdpneTzgvds\nx+d8Z60MhiWxN3YOYhamWvQHzXiO5W9LUUG9DyPaFG5zL8tt7Q++8Efhh//cxyb7B59n1eFhDDpN\n8ABoH2cgBdZi2/LdyzVY+YUZ7HT4vk/ub+S4mWL/2G+MQwvAwHirBKM0DrFV47b9TK3zqXD4NQvs\nZclqy8uVexnhpLpvSW5Q0d+0PPe4RmhAM6GpILzwqaSJ7H+nPPyxPtHlMft++FwL6l52XXYbeUft\ntgKvNtxIddyjjdIAirVbA95QBF/2ZxLMGu4xv/+O1d1NoK+qwZYnW/JFrdZFvDcD6oC9xrhvDlZG\naEdGgFL2p8cFxu/72OcYn8s3PkPZ39T9K/QzPvF7P3n1tfWcMZeffJ48zQpwRXJtdL1RWslMofkl\n9zdDJlZR/ybOI6xmLRBt4bcznJ9mhjPuHPeHl/HrKGk5WOGtyJu3PHyGdJsxZukB9rjZbTHjaIx3\nH7cBADSNdkuw55GNcRG5s75vpmBf5esen/zw+Y3orqiN6HOMWrHPTTHERSrRb4n/fzeA3w4p+j68\nwD52Z3aQjvGjS8cofi4Z4KmAb/Dyx+rUlLBJdvwLnPtkJfzrIYA+73qkMmkG8yRsvhSjEAVvqTBu\nUfEa5XaNTNLqfEwFVFe1sQBa+Vhmu7KiPnHO+pm8sHHfmQNUHstWD201wi72542h7D3JeUhX4veX\nNsrjvEAQbq0UVouflVXFsSpEBve3DoSpdJdO52hLpyi2Msprt86Vu+Q1lhbC5PMYzB/bzkHldlJh\nkD97RpjYhIKtDOs+4rYbq6bnJcnM/rZ5TwcBtF6LVEfMsy6PFx0wYOTZlu+YfFZWnmWMtXnVIPRI\nrZnWI8Fgdr+TE8/vvs2ox+/HnLqswtgOAsesCnYV6/ucg7bB5ByqwyjO9eDBMPgmQnX7dqp0GjSN\nqCcPAmGxcv5crXJxqfU6Q5elDbdrhTMWaJ7XzrGcb6muOTA62Ic/PjYb8vOygWjw+fuiqrMiomap\nSXpC/eBy/HLJfowNcqeoZCNor3J/me5DPI+pFqEWQbVr/Qddwwsb3BN7rVPrq8u7EgzEoUzgq1XZ\nNvoqVml4cDLJ58y6I0gAZR14+87GCqyl+rC/Ujj8gAa62WG7Nhcyk+1Nu7/Ml4CZY2wwIW38inHI\nCAT5oZ2vTUsle/3R3x5LRGXnUSC/Jm0MlWj8ONnvZQX1Rk0KZKat3nhyPPpIYz6GIqn6vDJd+Gl8\nTQHBIecblwF00yjqI/GMIx856nTwZz61NRNxrhgwZ8G36CyYQFur01p95lZVmbiZCtUV12nbWQk/\n3aIq5Xv5bDYDvGd+uLzbsdKLUCQTEKv0Nhlm4wxXDxNDhPFEzpSeybbx1YQPP2YXCaL/TyL6Svz3\nnwUAIvq7AB69wD52a5q98nlGUjKKxQtOzcyoak68/MiDttGApswybQoWxpwxc6ytxL4uG3hsY2P7\n3ib4GfvdNp8NIKjnOzwbqwzxPpXPSZ6htAHZqdnqXQmvseNqYpu0MeWVv3OqYTSbpYlhLMDadpzY\n85qq0G4T/FzGLrs/XwjHxM8AbExuldUb7S2raIqRCXgMdSLOQKxUUFWxozkS8Ayg+td2bdd2bdd2\nbdd2bdf2DWUXUef+JBH9fQCrEIJELD8J4P6Gnz0UO7i1P+QzlNU040BLYGMx76FdT0K3svYCNpi1\n/E8bJGOkWjoWcI8GmEn2PtvWVtYfVgA9dk7bbjeGAgCGQcl5gfcm2H25vVTAx7YtjvHE9347nvzP\nvhOoqo18hm3t4PZB4uE/l3qTl8+9bMU1iTgANEsoqZUSLluOp1JgbXLMbWMj216EH38luyRUfBL2\nOQXZ9Ym3b99z+Yx7LZqEgiABzqnEhdUKmM9TdTwGzTvnp96e4ERThAbaaoL0PS4qGkJF0fM274vO\nf7ZqY7L9m3r7JojgyPw3gFKPJyvULpodLv8uK8QjcC9yNF3RKucYu8k51Arljxf3Y7D/Ejkia5Ry\n9YtqamkFDE2qt3eeegx3nn4cwe9I++FwDx/+Oz8AII056V9MzQxuj6vH/YMHuk5mlesB0iEwD9hA\nZhWGLPA+eQfH3t9yDEaFZt19iTyQZx1blgEY50SPWSl0ODIuS59BkvX+5HR07rLoh1InQ36rVlWp\nVYypaLq9vfzcXTX0W8begSJBXfJ7bWIwnTBNV+Pj+svz3MPRGynnuQF01vI0xQpKiiSHbWW1TGxq\nCzKk+8Lvep/r3thjAGbOMedQ6GoAQGjHoaVlJbWEtCraxtX5HDtCCaG6hqVjKoJIqKATivTZeY4l\nfGUttPdaYOAW5h08ECbmrJJyY89zS4SgPPvQdbq2cm/yHemN/NIPAiDtTT55XucVQ8CJd6Z2FF+E\nYDjpEU3QVNwLXDYxUGlCrCaHkFd4ZVvhycc2XDSfpzXFB1aUlzVZ+Nd2B21Cekjlmq/R51ztquLr\nlbEZfxf6hLAIbQeyCvZARlXQbRrmfdtx7tfx/Cn5Hemcx5FiiTLR5e9VHKuXQmNteK465oh2w4n+\nerKsx5uxTAQIGMJBDKzHbruRB7plNW6bvq0D22a7h1ENvOo+S+dzjLu3zT27gDBZ5gSNHcNyU5C/\njDvhRL/0xfDB7/yx8S/tsS8IYdbJVyBQ54yHwRiPn2kLj5IPvO1zLo898S5M9kx8o0ze6RJlckGN\ng8ndj+1nw310BwfwJyeD6vXOePglb2uq57M4nNKiQmDr5y3+Yzxj8x0wEkRflL6yafsrzLmDXZne\n3lnP2IljagBTQNeB5MC9kXP0prGX9XAdSxwCePbFn736mHv5S+GDb//R/EMRS4zBtJ6rGWsAFPlj\nBbAGJve3buAevQ0A6L/8lenti/PQtkMwz3ZKg8Lyd4v38zzu86bz55ZA+W8HQmn23ABNCNh75m7e\nRH/v3uRx+OTDdAKg3HcxdkavceRejdLYxtA4I7/dec/eDcdy+/uceCn40heC+MZ7NsoLln3apOMG\nG50fL+D/6PYFSlGTnyYgyVrG1Q1UREyC87HAv+iDa0WZss9k24vMw8bnyTj2F9VjAdL1b0hA2n8/\n+9mf2y0nujxm6cdtkwTYoIMjdAG/XA3Gnfh/SinoewjXeKy3uOXLa6JQBLsKLj1VTgPc7DkDWUs+\neJ942iqQRhqEy9/aMs3sH87xNhLA+hCF9gwv37lBb/IyIaStwExbONUQsHx6bH530w2jFAvY7ctk\n2BZrN83n+MQ/+4nJeW7rFldfd6YPIWawhVdnlWEth6HKOZWMtzffm+11oq1r/SzjLYi5Kp9M5vN8\nMjzPCo7M4LcX2ddF7LIOnzryId+HrUSLYiTR+D2zp7GtsrczL/PY8dXRbPgFj/BuquvdtRsqF7ri\nO9tvcrBdCMr/s99TXStHULh1GadpPh/cQztuAXEiOkZaTDkF5Rgbu44yhTr2PMKQO7ytnTcWAGz3\nrEKa5LPKEW03lVFTZ/fALRbZWNWJuslbWE2dvz85SerCD+t9BS8EyrXWSoH5L4S0OI0lU3Seouzz\nUX53NKkC6OY1c5JY6GjkWouxpffQVhoHBxkfZ2quyp9zWS20P7N8zawXajH+MhEwP3BWsupXRApt\nHL/bzKdT5y3Xdw4vXJ+FrbjJb8v58CoW56psvorjwx8d6XOUc3F7i3ycRJ781D3jeZLnEf/qa/Cv\nvpZ/P5/zfyNzATVceVNUGfj93aYCEVar7JwmA+gN44t3FEZ/m1BupNfBB+qNw+b079D3k72r1e+I\nzzRTB7dm9k2zGarbt/Kvx1B21fD6aG+odmzPrXrkkcQfPe9duIyNVM11jjHPQxMJ5rPLcmQlwUjN\nLH9ucS5XbYPiHIQHLO/AMOnlpteisbE1hswzfaslmJKeuVQ3A6EwDWSDz+9j/C74oOJ3VNdZhRfB\nJ54tFfe8TNQX56lzpTfV1i0D6HKMa7V97N7IPSXa7VxXmuz7nGLC6No6QckMPuTjSX7WzHgcSQDc\ndum/IoDmJEqXfL/AVD4bWNsAU8yvuE91ErP1+tzQ93o8v1zynLpeg5pa+cRhvQbNGlXj5q4xXo/n\n123kQOdzUxBfRM7bBs9RTE+fqSPAEdys4bFp5znDp5dj6/VN+RPxvutz9H3B9e7zNbTYF9V1vvbh\n/GTajmfDN8hiRcxmPAZZMDPpjy5Yxf7UiklMPz5v/wLri5Cn0WOMVCqzl2VsQi3tolWgy5jNjpbB\nsj0PqzIt4iQGYrm18MhURTtOrG7WJNhpqdAnE5+rhpXJvgfCboXFVD4/wmQFFjbagsdUvDKHJoTs\nt4AZa6WQjixeE9D1QTunktcM5NtMJQMeMiJlK+GoDQF6WRkJ63VcwM1vzZiZqraU84C0qygz+WWV\nK/R9roCuO07PYOdCdvZ8NomIRUGTgUNZCqkB+fdllt9a4dCw45WEQUZpChYBBEQHbShSNjju2HmK\nXUJDYWx+zO9BMb+boHQMyaEOiql0b5yDx4TBfNpHduwSWWDnXPtvu8/iWe103IUQnaNeFbXDuh3O\nM0KRKsalPz3dWOWV/VSPPJIEtaIzFVarjet0Nh/az8eq91blVT6WCuPYvZJ7bROZhg4yaXYdHJtv\n7XkW87A/PVUlbPtZlriKEPpeEhhAQtOZSrs/PQW12yQh/WB8lsgBqZ7J87HVcgm4wya0wSUsa1UD\nqPZENh7kPfUbfCZrG95D/XkhVBm61gTBXhWV/VKSq0awaGzu3DQvTFDPsn2MFRT8UAwMvUCr8+pj\n5n+aqjsAkyCuc/qJtBoyc6v6T6YF0WA+Mqg//ozSby4aiMZ3TwIYv1ymee1h+7sbzvNcv2jT92MI\nkWbOFV2TBAyBMqqFJDzSGlGgPOXQMlYVSt1EmLc9t7IrhEE9oljX4vyj59WnddsKfqmYHVFCBZkq\nOBEhSFNDcgkxIW371i0nX9dtuu7oJ2QJqOL9kuvLEi4i6LbpHV+vh89W9ln4MaOJMXsuI/ZvZRB9\ncLiHZ375vQhdp/zUIT90GAgLnCprRwQMnT9rhm+jfWRN5inbz9TLrtzmvDISuk65jLZKvtEpetgT\nih2Qm4L4cqCWTvJ5jubIhJWphMbvNIAGcr6EHEPUbuW38bhPfO+3J37qIwe4qo317J1UxNZzS7DD\n0hnLeFgyGY45/xYy6erhfS7u42iwVQqhTQT7XzObgpKbz8da4oxC2IDzgyh7DNtLUJ5Z5tykICfj\nFI68I9mYe9h9oq/t2gDun/r04wgh7Ez74Zlfei+AgBd/51/ixd/6wtVP8tq+oeyJ7/12PPE9fwbA\nDue5X/xBqN7I9Tx3bYXtXG/kem29tnNs2zH3dcWJJqIPA/g2AH8A4LsA/FwI4YVyO+3Zu6mHnXWK\nN2X5xn4n52OqjueceMqkTu1/rAIzcdzzzutrbuV9BaYrWlO27fbmmY1mpscC9uI574S39fKXwgff\n8RH+Y4y7dZFAdKradBHblqdTnO+2PVm/JnYRLYGyp+QEH2kMZpbxF8f6So89jy2fkxxzJ32ix3hb\nxXEAXIiDZnnTAHKxGJhsr03qlBlhQVHYrPEEJ1Xnzw3v+4V4jZueQ/le2eNR0UN3m+dp1xEgqyZv\n4lMqdG9kfGaV6C351pPihMV57Yqf+qHv+vGErEKRvBwx26pqbA10+/tJEGesf7G5n5NtyC4wTzJU\ncqJN02VNqsC2mwL3RY4fAAAgAElEQVQARScVXUBKTvTYPcz0MEorx5y8S8Bw7b0gDzVr6TTBp85O\nZUqAtZnhE//iYzvTfsg44+pPmepo0Qc5nWCuF5FVrOw2592juK5oZdXwNad0CHgDqZRNaBqYbQbf\nmd+OXtvUeQJDn6c4ziafoOwJTbNZ3tqrrGIXa03WjszOc0U/7kkbe59N4QEhpHGnVCTe70Pj4dvT\nm5qHrmrFmqLjvLyvE+Ol7B0+Ok9OxUUj+5P9jCL3rJ8Qe9xnhQs7d5h9WaTDeTz8rG0buLou8xOA\nTFxN15axOK0U9LWdbC5h5fu4acx9vXGi5wB+KITwPwD4NQAfm9zSYN4VDiXmzWIDjHI8EofX8MtG\neqaeG9xGCDfzWpvh9/Z8y3/biUr+PcYL3QY6eBXbAFUY3dzR8FqBzRV9FNc2VRG1fxpOOoDBS5Eg\nTOa5ySSyi/tizRs+ht23rUiS4YFvOv7YWAC2ew5yjGIMpT6AVT6uSuixpQ/8f+1dfYxdR3X/zX1v\nd+19ie1AaFIJERVoGz4S27Hj3U0okGAnzq6db1HUJC0Qr50QqJ0ioFQI8VVBqKIYCiROQpHoh1QJ\nJMgXTUOhH6FxSkKBRCRQGhqktpQE8mF247X33ekfM2fumbkz933dfVk75yet7PfevefOnfnNxzlz\nzpm66ygsaip2LvWeqQktkMPPYXax5AQvXm7R1YGiMw3hT4wdXZLD7yPv4smmZ9YFFjMbvpvnEdJN\nW5LbOt1n3dRdX2SuyxyKMnXa2CEXhpC3XVxc7Pn68KFqDwig4GSqH/D3DhcRsRi6MMwjKE9HBZrH\nWsX4qFTaAwJ2jKJnR+LlnLuYUp6CUBnrXeWVtATGVX34EJonnuB9JjRWrXLnQgNA1mq5d8rGx6Pz\ngnFRPuwW3bE8D+bept9G3kU6PW6Ebo7WvTkJVtcuNpF+CuLh3HUUjxq2fSSkxlOoXS6DIOaX5cOI\nImhbNdL08yLw11kxVpTbcs5bEzFOq0ajcJvn3nQBeD1Qlmcu051pHYmx7gtBKEVhfMuKsWlxsVCy\nqd2oH+XFOGbiJ8su0annhte4WOTDhwxnI8qqGxPZPBwbF4g3neKhvbjiTuCxz9S2NsTGv8wqHMGY\nFirQzsuKxx7T/GDrwlv7ZMWGkRplMeXUBmF98f7Jla0wvp61IYDCcEPlqnusy9vx9bbt0x3DOPpY\nP5m1c7OoX5ojLaIKtFLeOs+Lc+52nRLK43Nyql5dHHWQiZ7+aC7MGibsYXTUKdAuTtuGdBme2Hbk\n3n12XjDvbT037fikKaY7yG8CwOXOAOBtiNDauKQrhDpiWBclV/mEW3cEy8qd2yrPhFcC+EHqWu8s\n53B3kjqcc8lkC00iDHdzBbyGdaiKYQFK1mWeQbFcYHOv2wlikyR30e3Z8tXLwNLlzkd0t4jXd4xc\ngWIYy+7ZcQEbWpmCOJzS8SLtdvmdtAaqjtMZAGp0FJovzqhNnTWuiNGv4k7S8h8qEol68u7NWWx2\nZMHuFSE8k3qJvRuSg1DFQB+rm6rPYfIo95vzECgnGvSe1+nYrBARvoUhI+54iDoQ8/iIyeaeN7Bc\npbjxIMzFS6KmMgDBJAlANUz4AF0XWqapj3UcrzqNOVqb53su9IkxOFTyo94Hiezx4bgd7CbGriu+\nY8ZYWrBzBDso/DkAq+dwR54tjjxjCJfVq2dPTdDzz3m7I7TDVOpvCwuOX+1nny2XJ5gLkpmmlbKG\n6IodOTYPAGyRzeooO/ZYoN2uVqI9TvnKbadY7rAsKbjjrNxRL4GiTTvvkXmSzrQHYI63Orjgn0kf\n9CmKQwdQ7DIvLLAwsvTuZGn8s/d49WCPqNMLCy55GSVAih3D0xfs+FXsNh82xoBMQevACwCJcSfs\nS5Hd4uhzOXhd0VGI3AsgXLO5++K5GsL7kuhlLo6OVzl0HuyJpYyAwbFaThTfWeYedkDZ0AkYZZp4\nBjtnIKib8B76nPtHkEWvdffwZGk1j3Nhfh36t1OZumyv0hGoVfkYYt8DvgGBb/Lluty3Y/2x5KlJ\nseyBLN7ei4se7513WthHrecGeV+FuQ0Ml5SJqbaGGJccL2v4Bh2akwNDOI/FpuRnXl4CqgOXbby8\nto3GRdMzXL3E27xTIsWhu3Mrpe4GcELkpw9qrW9TSp0I4P0A1gO4WGv9ZHjh/z3+hH7miWdLAu68\n5eu465avm2Nn5ueRHXNMkTQjtpgjJYgmsn7cpntxn0CFAlUlHyg3PlfKYsdRpJ7Zg1scUEwkpMD2\n5A7MDRpUDpcpMKEYdFs+ajtWnpld52D6yrNLcla/ZBVOOOklA42+Sc7d+g3cdcs9yUGQJv5Ox4hU\nHrPG5CUHWxr4+b/0cy+c65EfPaHL/lVZ3ioZQX/u671T7vmhwcRienYzZmY3l8QtKefsOBeODaV+\nDqBkwedKmr03NX5UHqtEz6iYhJL9PYWYm2IX6Oh61224TBfXuQRrYZ17uy2ZlyitbLSAvxAAymMg\n4NcZq5sl5dxPn9TP/PyZ0vd3feEf8bUv/ot3tmipviP1p0ZGoRqZU8rcPNKhb1JyK7eIY0kYq9p7\n4HCV8B06cKJIYOm3VZgoLxsfr955ripSheHBIeQOUDpfWo2NeYtc78gvOrublPWgzzrOBc+sfZxj\n3HfjnCtkh34aCbsw/4m4vXYB7m7f0d1aJcIuuhjTPOUn0edjz4uuCcP1VoSbyfG4k+KIeN9zu3wU\nmtDrGiJWd1kD01eeNdy5VSncefM9uOvz3/TOmO8ag8wzvc59FfpM9DPzTiytEYDO7UVjms0pBSAa\nklTiHFOUPTduvploy1JywU6F6cWOxlXMOzZTndstwdF+5tZlFRPNoZQ6GyYmelP4248efEy/6w0f\nLo5+IAv1sccin5v3LOhqpGkswsEuZ8kim1JEVfXZuO6+LgeOXs6YGwhLqQzRI7qNJyWkYpft9856\nX6FEeud8k7UsFsPJrIn1nJ/6mL5mozkn2p0NzONXOiiyALzrS3Fm3CgSWwim6raDUhkupFLXxRTE\nWtCF0lv5Hb+/j37S7Tvx68JFK1eUSnF5EcUKWIJzoqOFFiUaeOEp0anv6sn9UIxzHHTcnijR5XK+\nEJRoJ4PtyujFxXo49+Bj+prT3+fJT8aJixLtnne0K9EpJbHWuTW27soaokRHnvdCUKJTOGJiopVS\n72EffwLg5alr8/l541rEKiI/cADZKIvJ0nkx+cZcXXmMYUKBhjYxNqkYIzrnLRsfhxcnkYiXKA0U\ngK/8cRc/2IkgJsstkhNjSYcJsFvQ5Bp7fqhAewkBYjEjpU7v7+CbIz8S8UNA0RZs0lENGzMVKNBq\nbMwqhpHY7X7AqzMrXPTcOxPHVGZc64LBi66n7/NDvus/L2fJvc7Kj7ZfbCBl97hFVBVfbJlKykAn\neIpD4r6OrryID+auf1W47yaeWSyeIscmJe5xCvSKFS4Jkuvz7ngIbVyKeD1RXFOw87/UKJ2zWbog\nc2eme183+NhiE22FExdz6dKLi07pLsWwOc777lfuZ4rbBvzrqrjShzExFjNVkhuDLZObM7p5drAA\ndfyid2euZVRfRT1q947eufd0Pzd8hEd9UN14c09QX7303eT7Jb5eWEA+N+diBdUK6hvFM90Z7FkD\nWauFrNXyFGigcJf2FMxWq5DDYi7z+XnjLkzGB4oLjMQruvOlR0fsIrjiuKcqHoYc6MAJ166sDMjL\nycLCo6tcUZpN/1xuGrttO6uxMd+V28LNMYxzamys4I7W1vWxqAe9YNzCKd4wGx9H48UvcvXNj6lJ\njSsuXnhx0T6vDs7pQjmz5UjmhomsDYozd9veNTy2ubKcvE/xYi0suIV/ZYwkGfcDN3lX5m45FNZ5\n6t5QOWLzfWmNG5NJfSmsSypD7DeaEyJ9j85B9sbCXqBtPDitXWKbLd4716i28LGceJK3y8ftdcFz\nP+lXmVPu7POYYthoRF3sgci8C8RlhGtdPqfQvEOKLNVn1BCjSp9dAlIrI5XUtNRH7FgYunjrRXPO\nteu7uhzH7I7IDMsXAW2u0XnXHn8j91TqBT2OacsqJhrAy5RS1wN4EsBaADuiV9mGbz9duJ2RpdfF\nEoXW24i1qXJxBYBigaBUsbAOYxwsOfK5Of/eqt0zInAqHkcHAyEnRBjn1MPObz9W8OQuJh/EbXn8\nY4iana1BYayL1v4AXWUZJWX04MHi/F7ALTTJPb+27IpMucsPHCgWx6XYjLxYNCY4lq1Y4SnRLklL\nDMyrIrY7Hc1CyLnHPwPIxsbcObDRMoa76BU7697nKut1p12nMFY7KEdXMeS2rFXu8/ye1O5rkcyk\nsGaGR5MVO6y+Vwt5KNS2m18xmJeUxtBgoHPoxYgnBNsN9XI4hOMWt9DzrNZhEWO/xfptl1zpCzGr\nflcKMRtDuskQnrfh4jNTu6FksY/t7LMYM+84P/rd7hIWuyDl3Smvv4f9e4k8jyh5mDkv1/aPdhuN\n445D+6mnirpwcbxjxXwYA+vXrtxU9tDoQzG+gWeI+U/mlHTXV+nfqvZXGVSz4Z+1HGt7tnOUrbRx\n2JH3orEkGqcXvjf9145TpQWmfV4RP9h0ScD4bmgsdpvv1tN1Ifi6KJ+fB6znl+OaUs5A4hL22Pfj\n85Yx0NXHt5JRpJFB07H0lECI1YPnTEPrOb75EI7vqb7Raazo0qgX5sPxdsqqnt8NSkplVqwRO419\n3POIxnOeyyfG1dQ7h7uOiXj6rsHrxs077Der0JOR02XqzuPx532Dj6OpdurUfrbfeEewhiIqNimq\nYvw7rSfcuBDTa4K1m8sxEJuPY2WjtQL19cCTzSRVLZKFFbvN7dI14ZrFG3MDLwp3TWnNm5UU8tJ1\nWpvxvWJerNILQq+ISoMsltlOtNb6XVrrd2utP661fovW+iux6+iMtz37dmFy24bCWmuEODJMz24u\nBldrnXaDXR63dlImOdXwg96RtzFz9dZCqU2511EyLPpqRZFFzttVHBsz5YshJHPFbhy3UJXk0c5F\nn3Dy2O5UCdwdI7B6F4Vk7cER68j2WeR6lhq81Mgopmc3o7FqFfShQ2agZZ1mctsG7LlxB/bsu6qe\ncwWPO8Zw7qadmNy2wbmSAyh2BQFMz27xy8ktiJY3+cGDceOGtcR6bbrzHHONjUv3oHV5R4sjHEwB\nbL3idb7xIjbpxdol0Q4pDoduf5UKIfUprQt5bOCPZi1lfdBbjKvMLfqRNTC9M16+kiISlBkqK/db\nmLh7t8PKJzmlMLHltdizbxeuveXqms6yXOmNc/4LFDsG07Ob3ZjCyx8izATqtSntYDF57rJ2Oz3p\nhNk7SS67f3rHm6KW+eLZvY1RyXGT0GkhFzxvenZzMS/EdmFCZMalm5If+Z4UOc572xujt7n6p53K\n4DmpIxL5+7rjs+yzJmfW49pb34FrP39NjZy7Ctfe+g7HuXxuzuxiMsVt62VnGAWa9Rk1MmrGt5jh\nNdwxA5wSmc/Pu3GOy6J5neRxJZJ2GEvKpJ2HvLmfvqcdHfIesUZW50kSeIERj7LWOLb+3pRRoIM2\nUyOjXnIlU87ELgfbOT7vbW+MGxHsc13dJIwRWavlfQ77rFdGlskWee7qJWu1yvdojfzAAZz31tcX\nX9mxkuatyel12P2Zt2P3Z96G1qqV8XftAd56buY0UwaeQNQaKKgfRL1OgjktZcDnu3rTs5urx4oK\nj4WSRw6fu7xyVXgLhXICOHmhN09i7epdyz+H5dMFBzoZe7z3oDnPct1xhN4xtWvO+14ok4xpNFfb\n+cRl/c5NkrtNm1/j1l91nhO9Z98uTE6vS/Kgaq7x5lvbb6LX2XdXY2NmLvR+rJj7uvBiMHPXYtS1\nOhxvgQ4KudamfJEd7IJH/lyvc8qwvVisixi/pneeU3iDhO9Dz4l5HQbldu975VldGWqixwlGUJon\nUKxHJ88/HXv27TLjXAXnlpUS3S3mnpnH3l37sHfXPvzbNx4x7l4Zsx5o48Y6M7u5cGl06dr9xaED\nd1exGUcLq4pZsE7T4igkA1eoA2tWfnChWPhwxWlhwQSwxxZs3VotMz8TXiwgvltZsUF5hg3iWUDC\nuELnW195yvlY+UpHF5FLFuBlfeXyALhOOTO72XgeKN9lEFkD++94EHuvuhl7d92EuWcGPy907qlf\nOc7tv+NB6/ZrFFs+MM3MskGSufU5t3g+IYYKnJ2IPHk7zi7EBQtGXl/ZihXxSZFbjptN0wapxVa4\nIO4CUc6hs/W0eJDv4uTkae27xAF+X7FZko1hrOCJPnzILTxVo4GZHR0UrkRWVbcQY2XLxseLxHW8\nXPZZ933lfuzdtQ83zN5YD+eeLsa5/Xd+J25cy9tmnGs2iwyUtsyOE66QkcXgSLFYKbUBIVZHgcsk\nfecWDIxLjnM9WPmrFpcpzkWRcluMyaOFYMxzKNg1ce53WvtueFony+cbaeJufUChNFC5k++rNfbf\n/gBu2PE53HDlZ+vj3NW3YO9VN+P+v/ueczcmNI5/MRrHv9iViQwsZle3iayVWGzQ/Js1ikzSjCs0\nzpHCZxZdvmupM1yy9shWrCgZj2hu8NpSa2THtJAdU7iOl9wnE/zMDxzw5kLvFtqtzQpFgR+5ksLM\nzi3Ge8WW31N0GbLxcefuno2PF7HLXLnOGpV9gtxtjSdE7uqlyltgZueWuOIDmLl1103Yu2tfPZxj\n67n9dzwIoJh/OPdmdm5xYVoOqZ3elDsyG69cnaUMZxUG5Fjsc7QNqoyHMTkM5XFYO8Wj0uiXeB/X\nZ8mVlo4mDDdJvN3Bovyey3ysfOHzaT2idaU7PClfMzuKecIzFiqF/Xd+x3FkqTgXQ2W/6jJe2hn9\naM3v/dibh0I4v3ryYgaUkoBEKICFNxdyeOsIFm4U2b0nbpn119koIRaSMRpZb0b6jStfwE3vfYLv\nPU/VmLzYnJ+3sf+2bxuOXHVzJeeOSCUaMOdVqmaziDUquRhQHAU/k6xiR4zcHawFHEDhSmut10DC\nosGeXVIuq1xEKhZS7nd6fgy9uM4kZBM6uT2HChz/XCqfcxctD5zebnXwW5hcw7PUh9c765Vd1Np2\noZg0irNIng/XD1id0YIudSSKdw/tzlC5mDu/c1Xj7iOx9o7EqfA2C3e3Xbwa7WyH7r5cZsRtyMkO\nQwmQULA77SZWKVCJ38LjdMKEWOZfew5hpM66cuVnO7Yko3SeeaQ8nojQdbzKc0MgEAgEAoFAcMTj\niFWi288+i4mta4svtMbURZPFzhQl12CKM7mnkeIytX2Dp2RNbttQBKYDmDz/dCOaKxfM+uRcLO1C\nfOqCTUaZscrG5PaN7lo1Nua5ZKqR0ZIrVCHPlnfmNO/5XB5dT9ZE1WyWXA48F9CsYT4zFw/vs1Il\nl9HW6nHPvTr8nT5THU9u31i4GzWbmLp4yrn4QSm0Vo97ST5K8qbXee/vtS+AqUvOKD5oXcgDgHbb\ntB8dGTXSxNSlZ/oWzRrA31kfPoSpi6dcqAAHKWTUhoSJc08x/7F1MrHltd49UxdOxI09VpmbumCT\nt/sVbROK59Uak9PrvAQjHkeIA0z5TrYJYFz5tm3wlEknz8pPcYQU/+TvoTwA0LnPMa1dHyBjxMTW\ntabP0u9V8tjziJdT5xvOqpFR5AsLtk/YXa7xcb/P8j5mXdTItd/J375xMONWANVsGpnM2FBy7bYG\nkszu0hDnnPslXU/3W/c12jXzOBrZ9Z+6cMJ7nMcZ6vcAoHPoXGNier3ngl85LiU+e3XaZZtGP1v3\nU265jsnjLriT2zY4fqiRUediysctnohpYutaz/rdWj0efR53E4uWN2xfG44T7bMV7z8w8rbpV+RS\nfPBg4dr99DPIWS4SXmZ9eNGcjsHLZHk0dfEUspUrnXsmtXHJkGp3TacuPdNzAZy6cMLb5XXlWVhw\nYz+VHQg4Yue+9tPPmDwqtg4pYagaG8MZb3lD4cExPu7mmmzFitLcqkZGS3VuOFDs0Exu3+i9W9iH\naO7PDx405d+61uww2XHNvd/8PPK5OUzOnObqht6fkrchb5f6xBlv/p1iTrJjAg/LmNy2wZypbVHq\nE6tWegmElpxzgUx9+BAmt21wOW7c93Qe7dgYpi6ahHMHRjGuQZlESG49AkT7jYPlWOXcRZ/ZvByO\nM9FxiYXJdDPucZTk0fsQx1Lru8T7cHl68TAmtp7KvDSD+rEcVM0RNza6tUuifFMXThTPt6EmfB4J\n63Pqgk2e8bs0ztG8ZOc+b71aE2Jr6srre2xDmktSnn2p9RsAf261cHOr5UDXc2Fs7qO5kRn9nTy7\nq+vWSxnrA7Rzm5jLdLvtwp1IHulZfO3A51Zat09dwA5jUhkmzz/dq7/S+86c5nFocttpNhSA9RGb\nZyQ2bndTf9FdcoYjUommeIbZ667wJuuJrWvdApjvIjuFwy5G9cKCa0BPKaZBihYGQQMZgcXucHG9\n2SGbmF7v7S5Pbis6gF5YwBQjnD58CK01LSdTjYyyxaguysNQamCaqHOzoCN5tACc3H4627Ftlxb4\n3memoLh6XtNyO+l6YaFcnu0by0o52zWeOPdUl9EPKiveN/F+rn4Sv0+cc6p7P9VsFvIAQGWFQtts\nYtPZr8KOD19abwzNTTsxe93lXjtMnHuqdcE+7MrOY3JdHWc+B6le+aChc42J89Z5deBg75+YXu8b\nfmJtYsMPzOfTvftba1qeG4+73w6kU+GgGJHvshkr5bdBqjzuBcscc59pEGfyVHMk2Qd027jUeuVn\n8ijOKlU+WkxOnLfOGtsOu/K5GMD5ee/5+dycx2G9uOgt1Ca3bcDsJy6vLw5/9Th2f/ZKzH7iMo9z\nYZ0QV8grwvVLXid88Ud1YL0pwusd7HfOmGUnYseRzLhsTfFxM29jcqYoa7ZiRXcciZQv9bknzlEf\nZPGoMXnca2Fy+0anwOnDh7xxWY2N+cZRNw8UClRrTSv9vLztFg5OYdq+0VtkTV04UXg0aR30iabX\nZya3b8TsdfVybs++XZj9s9/32sWNU5HM4Y01qzF1yZQb6725zM4vE+ec4sVK8zrxE+KZOpvY4i/Y\nJ85b565TzRHHQVrguLLycY5Acx+D6wNWMd101snuvfKDC26uyQ+ZeD8uTy8e9jlg39fFV2cNN/eT\nkj5x3jovjtnN1daLZWJ6vct+DpVFy5sfPOj18XxuDvncHLJWq5Bnn7fpTa8ucdrNQ5Y3+rnnTAZ1\nzimqv+NanpsjtT8ZGAzndtXLueuuYIqicv2WZ/B164uFhZKRnfdTvbjorUe83xNIz01ZsZ5KXZ+a\nC1lM6eT2jf6Cn6+fUD0XAtzYlhfjipXt5sJgfcfHFW8coXHb/r/0fGZooo2PTuOwmUsLz8/JbRtc\nRmrVbJbWFhPT64sNg4q5mt599rrLsefGHWitqZFznebWAJXrl6wR/d3LaM7CPrx+x+Xx9VtoKJk5\nrTB8oMu5kObmmAGWOMPnLoLODedZqOwUl2/nshKnWZ9rrWmZjU0y/rE5RR8+ZAwptn+rZtPoULQW\nsfJ5/cXe180LI01M0frN1s/k9o1mXmoHczkrX6r+iHO7P32UxkR/6p1fwEP3PlrEM+RtqJERlz2X\n4I5jCCxB0WOEAG/Hge73b7SDeOxcP8BfYCCQRbIjMXo9ZZGOuYqyOBa9SNmXK+IQUxa9lBtq4nov\n+Vrsd4o7q9idc22TZVG3XHJHdkULzuBsrFpl3pkSGzQa2H/Xd/HQvY/iU9d8vrYYGsc5G59qdg6s\nQsnj4GOxZrEYeqWg83KSL5ewLGG95MdJqNhxDzyMgc6sCZOJOcWeGZ20RjfnxjsX9k7Xhv2Kihdz\nVy/1I1XdJ1jsuGkHX6bp8xWHD2SUONCPqSvXZ+BGz3+hEAJrqb//nofx0L2P4FPX3Iq5pyuyE3cJ\nitvyxrkq8PrmoShAvK1YHatMFUdwkCHQLaIjfdxeoxcXDWd4HB1sApKs0TncoRMGdYuPxdNXPa7Z\nhGI7ASGc0dXFJ7LYsB48EFzcL80nPAN8u+3OUi49P1A499/+AB6691GT++HAc10/PwXi3MPf+iHu\n/9p3nacTjVPZyhUuUzWVAY0GoDI0jiEDkx1rVOHRoRp+LHRnROLkWUZ0nefGWMlzZ5BxsgNUs1n0\nc85duwvt5k77XXFjMVaokRFkxx7rn6zAFn+AWQjzrN3hvBCGgYRhZB1hn5fPzxcLU/s8FeEuhaVl\nNmmnajbdaQJqZASNVavcTq5X/Uq5Hel8fh73fflfLefqjU996N5HsP/2B7w2yVqt8rFKYShaJNa2\nlG/FZXSviKWMjXMA69sVSbi6jG2NHQFUCtWqksXior2vE3Nl8vt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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_images(obs_dict, hdu_dict, filt_keys, wfe_drift, fov=fov, save_fig=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F444W_MASK335R_CIRCLYOT\n" + ] + } + ], + "source": [ + "# List of WFE drifts to check\n", + "wfe_list = [0,1,2,5,10][::-1]\n", + "nsig = 5\n", + "# Get contrasts for each WFE drift\n", + "F444W_key = [key for key in filt_keys if \"F444W\" in key]\n", + "contrast_F444W = do_contrast(wfe_list, F444W_key, nsig=nsig)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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joN7hgjO3ort7/LZb1ynAWUGqx5yFAbzCzsb5Hh7FcXvq7RO/CJ8FC3AEXcm9\nZ9URnPli0W49HXbvxwr8vL/Ju6dVBE4Pa5Ngf2fL28fPd7PC6p9X3h2Bz93v5pc4Pfj+vme5tA8Y\njtf7yQ3z6MRXOKOZX+K8F/6UT9klrov+8vBjx9+A2e7/AekiIayJblzAukgpaKIbd0a6SAhoopt3\nvrpY0D1x43M00T0OWBcppiYWVPeEkC4SZE104wvVRcpQEz0rfxlGyCMi4Tgvt3hVTQ3wnLPVa66O\niPwAPKbOnmCVAtcFZICqPlhIuno4L9guGpjbrOEHt5dxm6omFuGcM657ERmBM/LylaqOL04efvLM\nxFmd8EVVHRZA+qo4IxSttXAXnKLY8RnOvLmVqtrZDYvHEcmEAk82jAqKaWLxCFQT3bSmi2dIcTTR\nPa/c62JF1URbaMAoN6gzyf92oNAXvhdvibufkIi0wVkwwO8efRUNEbnTdTvqA7wZwCl/wOmJN4Es\nfYJR9xtxFit5LTgmgapWV9U6gTQc3fQnVPWyYIqkm+8NqhrpJZKNcXpu/xXMcgyjPGGaWDSKoYlg\nuliWlHtdrKiaaCOPRoVGRB7FcY07irNq3P9T1c/L1qrSQUSew5lbs1JV+5a1PZUBERkOxOO4ovxb\nVd8oY5MMwzByME00TSxNTBMrJqXeeBSRITgTOn/BmajdVwtZUckwDMMwKhKmhYZhGEZ5pFQbjyJy\nDs6Gl/XVWTHtI2Cmqs4oNSMMwzAMowwxLTQMwzDKK6U95/EYzkaYnr1gahHAXiiGYRiGUYEwLTQM\nwzDKJaW6z6OqHnJddd4VkXScDTzzbORavXp1DQ8Pz3N+/fr1iY6OLnK5GRkZ1KmT3969xSPYeZaE\njfv27StWfeWH1WNwsHoMDlaPwaGi1+O+ffv45Zdf8oQfO3bsuKpWP1PbioNpYenlB/adCRZWj8HB\n6jE4WD0WjaBqYUnvBeKzJ8mVOJvaVnGP/wM865vurLPO0mBy//33BzW/ksizJGxs06ZNUPOzegwO\nVo/BweoxOFTWegSOainqn/fHtLD08lO170ywsHoMDlaPwcHqMTgURwtL2231d8B+Vc1yj9OBMun5\nNQzDMIwywrTQMAzDKJeUqtsqMB+4WUT+AxwELgcGlnSht9xyS8jnWRI2Bhurx+Bg9RgcrB6Dg9Vj\nmWBaWEr5lQRWj8HB6jE4WD0GB6vHwAnJfR5r1qypR48eLWszyj1t27Zl1apVZW1GucfqMThYPQYH\nq8fgICILl+qFAAAgAElEQVTHVLVmWdtREKaFwcG+M8HB6jE4WD0GB6vH4FAcLbTGYwWmsn6xTp48\nyY4dO8jMzAxKfunp6Zx77rlByasyY/UYHKwei0b16tU5//zziYiIyBVujcfKg2mhaWEoYfUYHKwe\ni0YwtbC03VYDon79+mVtQoWgX79+ZW1CmbBjxw4iIyNp0qQJInLG+RV3ZUMjN1aPwcHqMXBUlV9/\n/ZUdO3Zw4YUX+kbvKwubioJpYXAwLTQtDCWsHoOD1WPgBFsLS3vBnICwhyE4VFbBzMzMJCoqKihi\nCfY8Bgurx+Bg9Rg4IkJUVFR+Iy951ywPMexeBwfTQtPCUMLqMThYPQZOsLUwJEceMzIycl72t9xy\nS8hMEDXKD8ESS8Mwyjfe74I5c+YwZ84cz2FwN/QqAUwLjTPFtNAwDAiuFobknMe2bdtqZZyfYASH\n9evXc9lll5W1GYZhhAj+3gki8o2qti0jkwLCtNA4E0wLDcPwJlhaGJJuq4ZhGIZhGIZhGEZoYY1H\nwzAMo0x5/fXXEREWL16cE/byyy8jInz22WdlZ5hhGIZhlBLlRQtDcs6jYZRnBg0axNSpU3nppZe4\n++67Wb9+PZ06dSI9PR0RYezYsSxatIjRo0fzyiuvsGDBglwLOqxYsYJp06aRkJCQJ27Lli1MmzYt\nV3kTJ04kISGB3r17Ex0dTXp6Op07d6Znz5752jhlyhSOHj3KQw89lGNzVFQUKSkpJCQkkJWVRWxs\n7BnXRUZGBk8//TRvvvkmu3fvzgnPzMzkscce43e/+x2bN2/m8ccf59JLLz3j8kqSb38+wKHfTgYt\nv9o1IriqUb0C0yxdupThw4ezdetWNm/eTNWqVXPihg4dyvTp0xk1ahT33Xdf0OwqDrt37+bJJ59k\nzZo1fP311znhCxcu5IMPPqBBgwaICCNGjPB7fmpqKldccQUbNmwgNjaWY8eOMXnyZKKjo2ndunVp\nXYZhGEHEtPA0poX5Y1p4mnKjhaoacp82bdqoYRSXdevWlWn5WVlZGhUVpenp6aqqOm7cOG3atKmm\npKSoqurs2bP1iy++UFXV5ORk9X3eZ86cmW/cRx995LfMxo0ba2pqak75vXv31nHjxhVoZ3Z2ds7/\nF154oaqqnjhxQqdOnaojRowI5FILZe7cuZqSkqJRUVG5wseMGaNjx45VVdW1a9fqtddeG5TySpLk\nDXt07faDQfskb9gTULkjRozQq6++Wl9++eWcsD179mhsbGye56OseO+99/Tjjz/OZc/Ro0f1oosu\n0szMTFVV/etf/6oLFy70e37Hjh11zJgx+sgjj6iq83w89dRT2rBhw6DY5++dAKzSENC7gj6hcn+N\n8olpoWlhSWBamD+VRQtt5NGo0Mz/oWS2cuvaMv8losPDw4mLi2PevHn07duXnTt3cs899zB37lza\ntWvHihUrGD16tN9zBwwYwIQJE/zG9e/fn9dee61Q28LDwxk2bBixsbEMHjyYnj17smXLFq677jqW\nLVtG165d2bJlCwBJSUm8+OKL7N+/n8TERK6//npmz57NwYMHSUxMpH///pxzzjk5eS9fvpyRI0fm\nKbNGjRp8+OGHecK7devGtm3b8oTPmzePp59+GoBWrVqxZs0aDh06RO3atXPSTJ06lSeeeIIHHniA\ntLQ0tmzZwty5czl16hR33nknVapUoXnz5qxYsYL777+f77//nm+//ZaePXtWuKX5hw8fTnx8PH37\n9qVatWq88sorxMfHM3bsWACOHDlCz549iYmJYePGjfTu3ZsuXbqwceNGnnnmGVq1asV3333HsGHD\nUNU8Yb493T169ODIkSN57HjyySe59tpr84T36NEjl5sNOM9K48aNqVatGgDXXHMN8+bNo3PnznnO\nX79+PUlJScTHx3Pw4EHeffddxo8fz+eff17cKjMMwwvTQtPCioBpYWgQko1HW57cKO90796dmTNn\n0qNHD+rWrcvNN99Mv379GDVqFKpKeHh4Ttrt27czcOBAALZu3ZorH++4vXv3Blx+48aN2bNnDydO\nnGDs2LFcc801jBkzhszMTNLT09m1axdJSUkAPPzwwzz//PMkJiYCjjvQtm3bco69ad++PfPnzy9C\nTfhn7969REZG5hzXrl2bvXv35hLMf/zjH7z55pt06NCBkSNH8uCDD/LZZ59x22238fjjjzNs2DDG\njRvH6tWrufXWW9myZQsZGRnExMRUOMG8/PLLad++PRMnTuSOO+4gLCws1x5XYWFhPProo3Tp0oX9\n+/cTFxdHly5d+PTTT6latSoDBgxg586dVK9enXfffTdPmC+zZs06Y5vzu8e+bN++naioKJo2bcre\nvXt57rnneOihh9i0aROtWrUiKSmJ+vXr07179zO2ybbqMIzSxbSwYEwLi4ZpYWhoYUg2HuvUqcPE\niRPL2gyjAlBQr2iJltu1K//85z+ZM2cOcXFxtGnTht27d/O///2PVq1a5Up7wQUX8MILLwCwcePG\nfOM2bNgQcPlpaWk0bNgwZ17AxRdfTEREBBEREURGRrJr165iXdeyZcsYPnx4nvAaNWp4v4gKpUGD\nBhw+fDjn+NChQzRo0MBvWk9PYHR0dK5zLrroIgDq1q1LkyZNCAsLo169ernSVCRGjBhBXFwcP//8\nM0OHDuX777/PiVNVFi9ezPLly4mIiGDfPmeU4f777+eZZ56hY8eONGvWjOeff95vmC+33nqr397W\nESNG0LFjx4DsDfQep6am5nwnIiMjmT9/PitXrmTgwIFcddVVOem8hbNXr1688847JCUlkZycTIsW\nLQgPD+exxx4r0CbvBtikSZMyArqQMsS00AgWpoWmhRUF08Ky18KQbDxmnsxm856jXNKwZlmbYhjF\nol69erRu3ZoJEyawbNkyRISbbrqJwYMHs2TJknzPa9asWb5xzZs3Z+7cuYX2OmVnZ/PUU08xePDg\nnLCibBQdHh6OqnLgwAEOHz5Mo0aNcuI6dOjAwoULA84rP7p168by5cvp2LFjzgRx755Wb2yTa4cW\nLVoQExND1apVqV+/fq64yZMns2vXLqZMmcKJEydyXLpSUlJ4/PHH+fe//82QIUOYNm0aV155ZZ6w\nQYMG5cpv9uzZZ2xv+/btSUtL4/jx41SrVo2vvvqK+Pj4POnWrl2bI5hDhgwhKiqK8PBwUlNT+fvf\n/57rh4E/brjhBu6++2569epFdnY2YWEVZxHx41nZrE8/wmXn1iprUwyjWJgWFoxpYdExLfRPaWph\nSDYeT2Rlk7b/Ny6KPouwMPuyGOWT7t2788MPP+R8gbt168aGDRuIiooCYN++fUyfPp309HTGjRuX\nq6fIO857TkhqamoewZwyZQoZGRlMnDiR6Ohodu7cSdeuXbnrrrsA52WalpbGlClTuPfeezl8+DDT\np09n7dq1LFu2jNWrV5ORkcHo0aN54oknaNeuHTNmzGDIkCE8+OCDuQSzqKxevZq33nqL3377jdGj\nR9O3b1/OPfdcHnnkER577DFGjx7Njz/+yBtvvJHn3M8++yzH7j59+rB06VJSU1O56aabcuz/9ttv\n+fjjj0lLSyM5OZm0tDQyMjJ47733uP3224ttd6iwatUqli5dypEjRxgzZgwzZswAcj8fM2bMIC4u\njlmzZjFkyBDOPvtsMjIyeP/991FVBg0aRNOmTdm3bx/x8fF88803ecLOlCVLluR6XgcPHsxZZ53F\nq6++ysMPP5yzUpy/OR6pqancdtttALme7XXr1tGyZcscwaxWrRpZWVkAHD16NCedJ+zkyeCt/hcq\nHD+ZzfYDv3Fxg7OICK84jWKjcmFaaFp4ppgWhpYWirPQTmjRvNWV+sI7n/H7C2rTsHa1sjbHKGes\nX7+eyy67rKzNMCoYZbE8uQGTJk2iSZMmtGzZkoSEBNq0acMHH3zAF198QVJSEgsWLOCcc86hYcOG\nDB061G8e/t4JIvKNqrYtjWsoLpe1+r2Of2cBl58Xyfn18s7HMYyCMC00SgLTwrIhlLQwJEcePT2s\n6RnHrfFoGEZIYOJW+ixdupS5c+fy5ptvUrduXd566y0AHn300Zw0vXv3DsoCAqFIRLjjeZOekWmN\nR8MwQgLTwtIn1LQwpBuPew8fJ+tUNlXMXccwDKPSERMTQ0xMTL7xffr0KT1jyoCI8DBE4NejJzme\nlU21KqaFhmEYlY1Q08KQVKIwgXpnRZCtsOfwibI2xzAMwzBKHRGoX8tZJXJ3xvEytsYwDMMwQnTk\nMSMjg/8mDuLAsSxu6HoTg/reWdYmGYZhGOWc8rjP4/jhg/j16Emuv/EmhtxvWmgYhmGcGWeqhSG5\nYE7btm112YqVJG/8FYDYZlHmrmMEjC0SYBiGN+V1wZy2bdvqipVfk7zxF05lQ8wlZ3NW1fDCTzQM\nTAsNw8hNsLQwZFtkVauEUb9WVRRn7qNhGIZhVDaqhAkNIp2F4/YcMi00DMMwypaQdFv1UPesKuw7\ncoJjJ06VtSmGETCDBg1i6tSpvPTSS9x9992sX7+eTp06kZ6ejogwduxYFi1axOjRo3nllVdYsGAB\n/fr1yzl/xYoVTJs2jYSEhDxxW7ZsYdq0abnKmzhxIgkJCfTu3Zvo6GjS09Pp3LkzPXv2zNfGKVOm\ncPToUR566KEcm6OiokhJSSEhIYGsrCxiY2PPuC5uvfVWDh48mHP83nvvER0dfcb5GkZlom6NCNIz\njpsWGuUK08LTmBYaFQpVLZEPcA4wGfjaK+xsYCLwOPAG0NDfuW3atFFV1e37f9NPv9+ra7ZnqGEE\nyrp168q0/KysLI2KitL09HRVVR03bpw2bdpUU1JSVFV19uzZ+sUXX6iqanJysnqedw8zZ87MN+6j\njz7yW2bjxo01NTU1p/zevXvruHHjCrQzOzs75/8LL7xQVVVPnDihU6dO1REjRgRyqYUSrHwM40zw\n904AVmkJ6Z/3JxhauDsjUz/9fq9+k3Yw2FVjVGBMC00LDcObYGlhSY48Xgt8BFzpFfY0sFBVZ4rI\nLcA44G/5ZeCZ53g8K7sEzTQqMs8t3lIi+Q6JbZpvXHh4OHFxccybN4++ffuyc+dO7rnnHubOnUu7\ndu1YsWIFo0eP9nvugAEDmDBhgt+4/v3789prrxVqW3h4OMOGDSM2NpbBgwfTs2dPtmzZwnXXXcey\nZcvo2rUrW7Y49ZKUlMSLL77I/v37SUxM5Prrr2f27NkcPHiQxMRE+vfvzznnnJOT9/Llyxk5cmSe\nMmvUqMGHH36YJ3z79u08/fTTqCqNGjXib3/L+3Xv2bMnP/30E9dddx3r1q2jXbt2jBw5kjlz5vDo\no4/Sq1cvdu/ezaZNm3jkkUdYuHAha9as4e2336Zx48aF1odhlDFB08LMk6aFRvEwLTQtNIxgUWKN\nR1WdJSKxPsHdgKfc/78C3iwoj+oR1ng0yifdu3dn5syZ9OjRg7p163LzzTfTr18/Ro0ahaoSHn56\n0Yvt27czcOBAALZu3ZorH++4vXv3Blx+48aN2bNnDydOnGDs2LFcc801jBkzhszMTNLT09m1axdJ\nSUkAPPzwwzz//PMkJiYCjjvQtm3bco69ad++PfPnzw/YjgceeIB27doB5LgO+Yrm2LFj6dixI88+\n+ywAjRo1YuTIkdxyyy28//77XHjhhYwePZqBAweyevVqXn31VcaPH8+sWbMYPHhwwLYYRlkQDC20\njlSjvGJa6GBaaFQkSnvOYwPgsPv/IaCeiFRR1SzvRCdOKT/9eowL6lQHTDCN4lNQr2hJ0rVrV/75\nz38yZ84c4uLiaNOmDbt37+Z///sfrVq1ypX2ggsu4IUXXgBg48aN+cZt2LAh4PLT0tJo2LAhVas6\ne8RdfPHFREREEBERQWRkJLt27SrWdS1btozhw4fnCa9Ro4b3ss85eMQSoFOnTnz++ed+e1ybNm2a\n8yMiIiIiV9xFF10EQN26dWnSpAkA9erVY9u2bcW6BqNseP311+nfvz/Jyck5c4hefvllBgwYwIIF\nC7jhhhvK1sDSJSAtPHlK2bTvKBdHnQXAiaxsVBURKV1rjXKPaaFpoREaVAQtLO3G414gEjgI1AYO\n+IolwPb03XS+9o/Ur1mVQ5lZoFC7RhX69euXa8K0YYQq9erVo3Xr1kyYMIFly5YhItx0000MHjyY\nJUuW5Htes2bN8o1r3rw5c+fOpXv37gWWnZ2dzVNPPZWrJ7IoPzbDw8NRVQ4cOMDhw4dp1KhRTlyH\nDh1YuHBhQPkcPnyY8ePH5wjs5s2bc8TPl3LxY3j7SsjMCF5+1evABe0KTLJ06VKGDx/O1q1b2bx5\nc84PIIChQ4cyffp0Ro0axX333Rc8u4rBH//4R6pXdzr7wsPDWbRoUZ40qampXHHFFWzYsIHY2FiO\nHTvG5MmTiY6OpnXr1iVm2759+0hPT/f3Q61+iRVaOAFp4c/pu+nSsT0NalXlcGYWqhBZvQoPPGBa\naJQPTAtNCwvFtLDcaWFpNx7nAe2B7cA17nEeIutG8eCrs/nbVb9jw+4jZJ7Mtv2tjHJH9+7d+eGH\nHwgLc1zOunXrxoYNG4iKigKcL/L06dNJT09n3LhxPPbYYznnesd5zwlJTU3NI5hTpkwhIyODiRMn\nEh0dzc6dO+natSt33XUXAJMnTyYtLY0pU6Zw7733cvjwYaZPn87atWtZtmwZq1evJiMjg9GjR/PE\nE0/Qrl07ZsyYwZAhQ3jwwQdzCWZRiIiIYM2aNQwfPjxHgEeNGpUnnce+RYsWcejQITIyMpgyZQqX\nX345a9euZfr06Zx33nksXbqU1NRUOnTowJw5czhw4ACbNm3i0ksvLZZ9RSYzA2oGsb1x9JdCk8TE\nxOQSl/j4eMBx21q5ciXnnXdemYslOKML/ly7vFm7di29evXKGTV48cUXuf3223nxxRdp2LBhidkW\nHR3Nueeey6pVq3KFi0jhN6DkCEgL69RztPD21uew80AmhzNP0b5pXerUiPCX3DBCEtNC08ICMS0s\nd1oozkI7wUdErgPuAboCrwL/AWoAY4E04CLgcVXd43tus1ZX6n0vfUDb8+tQPSyMjN+y+EOTutSr\naYJpFI5tjGyUCJs/C75gXlK4e0piYiJt27YlPj6ezZs3U61aNRITE2nZsiVjx45l1apVHDlyhJ49\nexITE8PGjRvp3bs3Xbp0YePGjTzzzDO0atWK7777jmHDhqGqecJ8f3T06NGDI0eO5LHlySef5Npr\nr80Tftttt9GuXTt+++03rr76arp165YnTXR0NCkpKcTHx/POO+/QqVMnxo8fz+jRowPuwS8uwdoY\nuTiciRY2b3Wl9n3pA1qdE0n9GhH8cuQkVzWqnbPvo2EUhGmhUSKYFlZ6LSzJBXOWAL4+Cb8B9xd2\nbvUqzgjjhr1H+MPv6gCQmXUKsMajYRiVj8svv5z27dszceJE7rjjDsLCwnLtERYWFsajjz5Kly5d\n2L9/P3FxcXTp0oVPP/2UqlWrMmDAAHbu3En16tV5991384T5MmvWrCLZN3ToUNq1a8epU6eIiYkh\nMjKSmJiYnPjt27cTFRVF06ZN2bt3L8899xwPPfQQmzZtypn3lJSURP369Qt1RStvnJEWRjhauOmX\no5zb+GwAjtuKq4ZhVFJMC0OD0nZbDYiIcKF2tSocOp7F0SxnU2RbNMcwjMrMiBEjiIuL4+eff2bo\n0KF8//33OXGqyuLFi1m+fDkRERHs27cPgPvvv59nnnmGjh070qxZM55//nm/Yb7ceuutfntbR4wY\nQceOHfOEexaDCA8Pp2PHjiQnJ+cSzNTU1BxhjIyMZP78+axcuZKBAwdy1VVX5crLWzh79epF165d\nSU5OpkWLFoSHh+dyaavoVAkTomtWZd/RE2QcPwmYFhqGUbkxLSx7LQwrs5ILoXmDmgDsOXICsN5W\nwzAqNy1atCAmJoaqVatSv35ul6HJkyeza9cuhg0bxqBBg3LCU1JSePzxx0lJSaFhw4ZMmzbNb5gv\ns2fPZuHChXk+/sRyw4YNvPHGGznH/haDWLt2bY5gDhkyhAkTJhAeHp5LSAvihhtuYOjQoaxatYrs\n7MqlBZc1rAVA+uHjAGRa49EwjEqMaWHZa2FIjjyCI5grt2ew69BxLqkXbr2thmFUOlatWsXSpUs5\ncuQIY8aMYcaMGUDuRSRmzJhBXFwcs2bNYsiQIZx99tlkZGTw/vvvo6oMGjSIpk2bsm/fPuLj4/nm\nm2/yhJ0JtWvXZt68eezatYtDhw5xwQUX0Lt371xpUlNTue222wByueKsW7eOli1b5kpbrVo1srKc\nhUePHj0KkHN88uTJM7K1PNI8uiZLt+xn1+HjRJ5dxTpSDcOodJgWhpYWltiCOWfCJZdcorGxsWza\nd5Sm7Tpxc9fuND67Bu2a1C1r04xygC0SYJQIZbA8eWVi0qRJNGnShJYtW5KQkECbNm344IMP6Nu3\nLwsWLOCcc86hYcOGDB06tMh5e94Jc+bMydmDbdKkST+q6iXBvo5gcskll2inTp348ZejNG4bS1xc\nNxrVrUGHi+qVtWlGOcC00CgRTAtLlPKghSHZeGzbtq2uWrWKJT/9ysrtGTQ4qypN651Fx0vOLmvT\njHKACaZhlC+WLl3Kf/7zH958803q1s3dSRiMxQPKcrXVM8GjhSvSDvDF1gNE1Yjgwrpn0alZVFmb\nZpQDTAsNo3xRXrQwZN1WwdkMGSArW81t1Sg3DBo0iKlTp/LSSy9x9913s379ejp16kR6ejoiwtix\nY1m0aBGjR4/mlVdeYcGCBbk2/F6xYgXTpk0jISEhT9yWLVvy+OVPnDiRhIQEevfuTXR0NOnp6XTu\n3JmePXvma+OUKVM4evQoDz30UI7NUVFRpKSkkJCQQFZWFrGxsWdUDwcOHCA+Pp4rrriCQ4cOcejQ\nIf773/8SHm77tRq5iYmJybWogDd9+vQpXWNCkNo+WpitSlh52EzcqNSYFjqYFhqBUm60UFVD7tOm\nTRtVVd2494g+m/yTvvbVNv30+7168lS2GkZhrFu3rkzLz8rK0qioKE1PT1dV1XHjxmnTpk01JSVF\nVVVnz56tX3zxhaqqJicnq+d59zBz5sx84z766CO/ZTZu3FhTU1Nzyu/du7eOGzeuQDuzs09/ny68\n8EJVVT1x4oROnTpVR4wYEcilFsj27dv11VdfzTnu2rWrzpo164zzNYyi4u+dAKzSENC7gj6e73/a\n/mP6bPJP+oqrhb+dyApW1RgVGNNC00LD8CZYWhjaI4/VnF6ZLNez9vjJbKpUs54aI3DufmtNieT7\n1t1X5BsXHh5OXFwc8+bNo2/fvuzcuZN77rmHuXPn0q5dO1asWMHo0aP9njtgwAAmTJjgN65///68\n9tprhdoWHh7OsGHDiI2NZfDgwfTs2ZMtW7Zw3XXXsWzZMrp27cqWLVsAxw3ixRdfZP/+/SQmJnL9\n9dcze/ZsDh48SGJiIv379+ecc87JyXv58uWMHDkyT5k1atTgww8/zBV2/vnn079//5zj7OxsatWq\nlefcnj178tNPP3Hdddexbt062rVrx8iRI5kzZw6PPvoovXr1Yvfu3WzatIlHHnmEhQsXsmbNGt5+\n+20aN25caH0YRnmnlkcLsx0xPJ6VnbMHpGEEgmmhaaFhBIuQbjzWqupx1XFcVo9nnaKmNR6NckD3\n7t2ZOXMmPXr0oG7dutx8883069ePUaNGoaq53FW2b9/OwIEDAdi6dWuufLzj9u7dG3D5jRs3Zs+e\nPZw4cYKxY8dyzTXXMGbMGDIzM0lPT2fXrl0kJSUB8PDDD/P888+TmJgIOO5A27Ztyzn2pn379syf\nP78INeHw9ddfExkZyY033pgnbuzYsXTs2JFnn30WgEaNGjFy5EhuueUW3n//fS688EJGjx7NwIED\nWb16Na+++irjx49n1qxZDB48uMi2GEZ5w6OFJ05lo6rOiqs1ytgowwgA08LcmBYaFYGQbjyeVdV5\nqZw45QyT2rxHo6gU1CtaknTt2pV//vOfzJkzh7i4ONq0acPu3bv53//+l2cvnwsuuIAXXngBgI0b\nN+Ybt2HDhoDLT0tLo2HDhlStWhWAiy++mIiICCIiIoiMjGTXrl3Fuq5ly5YxfPjwPOE1atTIWbnL\nl9TUVCZMmMBbb72F5DNPq2nTpjk/IiIiInLFefZJqlu3Lk2aNAGgXr16bNu2rVjXYBjljapVwqga\nLpw4pWSr7fVoFB3TQtNCwwgWIdt4VFXCw4SzIsI5dvIUWdlKpu1vZZQT6tWrR+vWrZkwYQLLli1D\nRLjpppsYPHgwS5Ysyfe8Zs2a5RvXvHlz5s6dW+hKW9nZ2Tz11FO5eiLzEyp/hIeHo6ocOHCAw4cP\n06hRo5y4Dh06sHDhwoDz+vrrr5k8eTKTJk1CVfO1vyj2GUZlQlUREWpVrcL+305yMjvbOlKNcoNp\noYNpoVGRCMnGY1r6L3T88120OKcWZzVvz++uuo6TtuKqUc7o3r07P/zwA2FhYQB069aNDRs2EBXl\nLLPvvbntuHHjeOyxx3LO9Y7znhOSmpqaR3CmTJlCRkYGEydOJDo6mp07d9K1a1fuuusuACZPnkxa\nWhpTpkzh3nvv5fDhw0yfPp21a9eybNkyVq9eTUZGBqNHj+aJJ56gXbt2zJgxgyFDhvDggw/mEsyi\nsGPHDrp06ULr1q258cYbOXXqFJ07d85jv8e+RYsWcejQITIyMpgyZQqXX345a9euZfr06Zx33nks\nXbqU1NRUOnTowJw5czhw4ACbNm3i0ksvLZZ9RuXDe28roE5Z2hIIabt/ocMtvWl1XiR1W3Yg+ooY\nRwutI9UoR5gWmhYaocWZamFI7vMY1bSl/umpt3n5tpbM37iPn349RuPa1WnWoBZXnF+7rM0zQhzb\n28owDG/K6z6P9Zu21Jv+/X+89NcWfLXtAOv2HOH8yOpcWr8mbRqHfNvXKGNMCw3D8CZYWhgWVKuC\nRELofxgAACAASURBVPUqYZw8pXyzI4Oa7rxH6201DMMwKhM1IsJQhZS0g9TyaOGpbJvzaBiGYZQZ\nIdl49Ijksq0HqVXN8aw9ma0mmIZhGEalwaN/y7bl1sLjJ0+VpVmGYRhGJSYkG481q4UTLvDD7sN4\npg5n2SIBhmEY5ZbXX38dEWHx4sU5YS+//DIiwmeffVZ2hoUwZ0WEU61KGD/9cowTrv5lZau76mro\nTTkxDMMwCqYiaGFILpgTJkLr82rz3c5DbNv/G+AI5qlsJetUNlXCQ7LNaxhGBWbNvjUcPnE4aPlF\nVo3kiuiCl89funQpw4cPZ+vWrWzevDlnuXmAoUOHMn36dEaNGsV9990XNLuKyk8//cSTTz7JVVdd\nxY4dO4iKivK7hH1qaipXXHEFGzZsIDY2lmPHjjF58mSio6Np3bp1GVge+ohA2wvq8NXWA2zadwyA\nU26j8XhWNjUibN9jwzBKF9NC/1QmLQzJxiNA+yZ1+W7nIX5IP0LdmlXIynYEMzMrm1rWeDQMo5Q5\nfOIw9arXC1p+BzIPFJomJiYml7jEx8cDzibZK1eu5LzzzitTsQTYv38/vXr14s9//jMALVq0oFu3\nbrRp0yZXurVr19KrV6+cPdpefPFFbr/9dl588UUaNmxY6naXFzo0qctXWw+QuusQDWpX5WS2MwJ5\n/KQ1Hg3DKH1MC/1TmbQwJBuPGRkZvPFUAl9vOcCOK2PocvPNVAlzHFiPn8ymVrUyNtAwDKMUGT58\nOPHx8fTt25dq1arxyiuvEB8fz9ixYwE4cuQIPXv2JCYmho0bN9K7d2+6dOnCxo0beeaZZ2jVqhXf\nffcdw4YNQ1XzhPku8d6jRw+OHDmSx44nn3ySa6+9NlfY1Vdfnes4OzubmjVr5jl3/fr1JCUlER8f\nz8GDB3n33XcZP348n3/++ZlWT8CUt606MjIyeClxMN9uPUCD1jFc3/UmwkRQtTUADMOofJgWBocz\n1cKAG48iEqaqpaJWderU4Y3Jk3j5yzSWbzvIkcwsqlUJI9sE0ygHDBo0iKlTp/LSSy9x9913s379\nejp16kR6ejoiwtixY1m0aBGjR4/mlVdeYcGCBfTr1y/n/BUrVjBt2jQSEhLyxG3ZsoVp06blKm/i\nxIkkJCTQu3dvoqOjSU9Pp3PnzvTs2TNfG6dMmcLRo0d56KGHcmyOiooiJSWFhIQEsrKyiI2NPeO6\nyMjI4Omnn+bNN99k9+7dZ5xfZeXyyy+nffv2TJw4kTvuuIOwsDCio6Nz4sPCwnj00Ufp0qUL+/fv\nJy4uji5duvDpp59StWpVBgwYwM6dO6levTrvvvtunjBfZs2aVSw7P/zwQ+Li4mjevHmu8O3btxMV\nFUXTpk3Zu3cvzz33HA899BCbNm2iVatWACQlJVG/fv1CN/4+E2655RZuueUWACZNmpRRnDxKWwsn\nT5rE1JU7WLTpV46dOEWNquFkqZJpi+YYIY5p4WlMC4ODaWFwOFMtLLDxKCJ9gXigBVBFRNKB94FE\nVS2W8AbC7kOZvLDwRy46tzbLtx3Esy5AVraSadt1GCHOc889x7Rp0+jSpQsAn3zyCTVr1uTrr7+m\nXbt2NG/enGuuuYZ27dpx7Ngxvv/+exITE3POf++992jQoAF9+vTJE/fxxx/nKa9fv348/fTTxMfH\nc/nll3Pq1CnuueceduzYweDBg/3aeO+99+K9x+vs2bPZsmULJ0+eZMaMGWzbti0ogvnll19y2223\n8cYbb5xxXpWdESNGEBcXx88//8zQoUP5/vvvc+JUlcWLF7N8+XIiIiLYt28fAPfffz/PPPMMHTt2\npFmzZjz//PN+w3y59dZb/fa2jhgxgo4dO/q1Lzk5meTkZF544YU8campqTnCGBkZyfz581m5ciUD\nBw7kqquuypXWWzh79epF165dSU5OpkWLFoSHh+faQLy0KCst3HPoOGM+2Ui7i+sDkO3RwlO2dZUR\n+pgWnsa0MHiYFpadFnrIt/EoIv8CjgE9gZ3ASeBsoD3wmoj8Q1UzS8KoA0dP8uF3uxh2gTOS6hHM\nk/+fvTsPr7K69/7/Xnve2ZkHkiAQBplE0SOIRUtAawtV6WmtPfhzqLZWj1Nbh4r1OFt81B6qrbWt\nRQ+lVdujP6ce6FPrccSKqKAMigIyBCQJSUiys+d9D+v5Y++EhISwA2SC7+u6uMi+x7W5hI/rvtf6\nLtsmYcrTVpG5af/nzV657vv/MWu/+5xOJ7Nnz+Zvf/sbl19+Obt27eK73/0uy5YtY9q0aaxcuZIF\nCxZ0ee51113Ho48+2uW+q666iscee+yAbXM6ndxxxx3MmjWLm266iXnz5rF161ZmzpzJihUrmDNn\nDlu3bgVS/zg98sgjNDY2cvfdd3PmmWfy0ksv0dz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D+eUvfwnAxo0b97uv9R+aTFRVVVFa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\nH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l5z1WouXlXEGMPhkTJ9oxUmqgFVPyDluTx3bSsd+SSlqs/e/gmOjVYoZhK05VP0tmVI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\nEREROa3/B1Vj1sqYevVdAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "curves = contrast_F444W[F444W_key[0]]\n", + "do_plot_contrast(obs, curves, wfe_list, nsig, age, save_fig=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## HD 61005" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "i=3\n", + "\n", + "name_sci, dist_sci, fov, age, spt_sci, kmag_sci = args_sources[i]\n", + "name_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "obs_dict = do_init(verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "# Optimize readout parameters\n", + "tacq = 3000\n", + "#do_opt(tacq, patterns='MEDIUM8', ng_min=10, ng_max=10, tacq_frac=0.1, well_levels=[2], even_nints=True)\n", + "for key in filt_keys:\n", + " obs = obs_dict[key]\n", + " obs.update_detectors(read_mode='MEDIUM8', ngroup=10, nint=12)\n", + " obs.nrc_ref.update_detectors(read_mode='MEDIUM8', ngroup=10, nint=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "wfe_drift = 5\n", + "hdu_dict = do_gen_hdus(obs_dict, wfe_drift)" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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ygmw548SJawD29vcsuDxlTmajzEnWlDnJmjInWVPmJGutZq7tx0Q3o/EMMhca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lFbyMqDHPJqjeKOLsOx1BYdZsiXdGbQskTx4rcgn3jcekIAUNY/xzJssyK3ZE4WiwUgxAbeBZfL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znIq6DF4gY95lTTZFUVY+RRwSeVeXi5Zd9XwmhQPa0LDxyqqGSV5PZZrR1Ou2q1ChQoUKFSpU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lDFtE672JkCp1BGR+swm1uFQmCiowNCLKhyKfWzjiKyDWttpwJ3dv3ar3DsHftE2/iwMeZ0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\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661HWdCatUURLiyqba1NfFzlncagxs0I41YDKCzmX+QI7q10FREi1nnMqjkTr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\nj7XBdhb6Y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mYLGKJSIYuVwBuafkTNJL9e6KqRVx/D97CKaCjWEwb7xR/OF/a7FW3ui7ag\ntd+gAcynDQTHbwYDpyivCBre6VBSFAphSAVY7SvFcqHtOW6iUQ9sxRZzZAcjRdy99xVxqRCtn6bg\n3GVcHKDztcz94ikQUidPUPGnjIiYpjRHrZntDB5XQuO4r2En2l8XvpblrjpA19OJ1HlO6GDgxAxd\ngF5C04TD9Hr+czOqowg2/7J6bYlDGvrT51+uC+uQP08WZgo4y95uZo7bAIyF0cF8FRIQlJD77hJb\nbglb5OZn2dyCki0ICBpKTgKxoHlrNc8rgBJtdXJl5nrxWszWL9nbt/ICBAA7dsrj3T60457LVpOU\nxYPkjsUbqVDo1IirFeqgpUXtgocaUQT1jqcKfupmmlLAe2ezcMyq1ZqhM+mt7aI41RtXZhA6NuCY\nAiA3AC7Gujknl5egQ4FJJ8yWXb1eWM/lyjKJygTBfDmYLHfCWKTTazoA1DWczga5NBdNYV20WQbL\neywLxoXrpuPuq9u7fi00jgLjiwKtFu0ju3t+zhENZljg6aJWpeQnnfrOuqhWIG5u5yrSAOyzlyC+\nfgUiccFrkgCbxKPn4FK+5xnY17/pzy+kFxU6f60W7GHPz9Xx02uI3r5FRdiy1oKeTQAfeLjvyK7f\nzItYrvBuSsJlemfnnsVcWauS1VMoqFlan2WjQWuLUl6PJUTNAZQImcmEnnkWykpIh4R41jnnWkSR\njzl4hBoI4boiHYfYan1XkVjvPlBeYxXFXExlA+CpdWV7PGsDBe9KhZ7FQLPGDpwopVK+4ZDd2aQ1\nJlKEqAHNOTscebssu7NLyvOdLiwXMc0EZjj09C2+BrozBbjg36Y9XlarUO8gJIX+1ltAtwvVbvvj\nEo0GrBPwZTqmrFYozj4OTnQQO/vmR9BkYP0fRsTNG6bXy59TN8prTwFxs7rq4xpedzzyolREDEXK\nAEfjq1bIvg1UMH6UcZRzi0d9tJtFdXpHVxRJkhenlKTC6coycMqJp43HsN0ezCp1mHU9hvjyt6DW\nVvPfiBT9ThyRKjyA+itXgaUF6LU66jdpbc1aFUrCR/m+pqsRom+97fn7arMD8aVvQGsN9fQT9J5r\nVAxiLaywWSDO0ufs1i7lCtWqX9Oi9TPA6jL0G1dgniP0QHLxPGykvDXhvPHAFlf/fxgbb23ar7z8\nFuxojJc/8Sq+8EffpO6dq7QBDjZ2YpkqEgypDiwyuKvA0EDd7c5VVA6Htxhw3aHQx1CtLJO4WGj/\nEk7Ce0Cpj+oAHuVPNwN1vcvGUvZUFtWKhwoWEoPwwSof77zjD2y7ALrmIhCfUSdWYHr9opx86K0c\n2nQF58D3geGDqt3215uPcd698lDXi+fx4gcu4y98JwlBvPC978L6U6ce3bP3s2/CTqcFDg0LjZSF\nmaKz6wQP29qZTQDuMhc8vL1038vwQ7W4AETR0ZYsZWj5fUD570fxcd73hXPXQ66BYuGo0Xhw25lj\nGqrd9j7D6sSK93YOr3XozxtSK9TiAolqrJ4gNe9WE5bhag4CziJqL/3wt+P9P/ISICVe+MAzOHNx\nvq/g/Y6NN+/Y1z79dYhKhbQffue1I59xtbTk5gNt/mEXTngfZQtrrX9u5lJI7kUJcWPe8xvqSQDw\nNI37rpDP87ssvRYqwltjc5V8PvYjfDRlrQbJcK+DQxIMcwGQiCOIVhN6Zy+HJnJBj/3dgbxQ+SAI\nodJrYUHDnw+dDP0ny+aLw4V2U1xkAHEFv+M/+B6Y/gAvfN+7sP7ko69zr33667BrK3j1/34Vn/+D\nr8OORjNFgejiedjBCKbb9dDQAl2JIYiOSuU7NOPJkWuMare9X6rtD+bDZoN9j+kcYcfa/375HoQW\nSBF17NTSgk/g/J4U0k6c7RkjU4BZhMQ8dI9fV5aW8uTJFcN8fFKyjgyvm2ChOOR7cnTpQv5cjCeE\n2gqoKSJJYHZ2Ic6RAKF+86pvJEgXwNo+JUx+f74PZJI/rlYLMAZmMCC9kX/7fQCA5z/4PNbPrzz6\n3voZ6vh87p+9XOCncjcagLfautfzNzPCvSrwaZ/5DqkKNmu+uWKNp1P4fSRc19zcEkoV5xy7VLjf\nLcRWwJHaNX4dO8L/l89/3nUoxwlz48JAN8iMRn7Nzm33BpDtJkStlitSu8Ido4xkuwVEUS72B1ek\nTzOIE8uwDmFjswxycWGuJV55qKWlvIueTqmjeOMWYHTRJ/qY4rnXX7kGO5kW51xgb8nHMfdY77Gv\nyUZjro2a95l3HXU7GB5JN/GFYGOp453EOWolsBH03+3sbe/a7HDnp06s+Hnl13YhiEoCEDIhzGfW\nTgKjMRVcuMiUZb6owf7ScmufHC3OODeCVo1UspPYQ77NjQ3IJ84T6oSbN7UKoQOyPKaw9QpMNUa0\nQ8VDvdiEbiaI94fANh2zHQ6J0nnmBMzrZF+lFhfJyovX0BMryG5vErqTkRUTchAKrUJDupJsNPDi\nD7yAFz/4LoiFFl5435M4c/HEsVlcFYYQYtVae28X8mMcg/4E/+Nf/uXcgqJapaplqSqaXbtRXFQC\nWB5vINbBwdhmiROJeXDn8qau2m2gUoHe2XG8HJf4sEIvj1CxGfnCFp1a85wn2WrNVdLzD0q5Ql4+\ntiMenLIthRmPCc4zHudiZnAPoOviyySehStZi4KtFUAQI2v8dTCdDkFx3fmVEzzu9IUFDn7dODga\nkHcv7Wg0o+QYdmSAPKjyXuHtNrLrN/En12/is//kX8CmU3z8C78499o8yBgcDvGxn/0/cx9hviys\nAB1cX9VuE/+03aQu+xSwCILvAJ5d8NDlxATuvocd4tLGWBbCYsXevNv/YAn0zGfmjfB7+L9SzQYj\nYfLMomnOcqr8fTyfynzmMq+7zCkMFSXLXOpweAqHVFTw6A8KIn0AYHs9uqZpRhVYTqDbbcAFUuaw\n68Xh1OICMHJq0U5ETcQJXn31Fl7+1D+CevYpfOw95wCs4lHG4HCI/+knf5X8S4dHoAgejz/X4+VP\nfhGvfnUb2Y238fFXf+mRv4/nnPmuF5Bc/1e6rT8e/5qMlz/5RXz+n38NMBa/8qW/+8jfNzgc4pd/\n+n8m1NlxWbU9Hn+mxsuf/KJPdD/+yvGscx/72d+A2e/ctzDw4/Hna3z+d17D5/7pn0BdfhIf+82P\nHPm+B06ihRBNAB8EwDjhHwbwow91lA87mGs7yRV0C2kjN8EAACAASURBVLDaSxeAjHyLC8nHQttX\n3jihZb9b4+A6cmkRdr8zV5VYVivksdtswgyGPrljsSzfBSp3n4PuD/07Qamzre28GnRwgLK4TmGE\n/C5WBg5sQOZVZufxUYGcn20nE99B56SaIdkhXAnIK7hl+Cf7+fput6vUznTKgy63HY1g7mz5Sjl3\nnwEU4OV6b7/AYy/DVn1Vr912/tiRh/Cq5aW8wvaI0BcAjhPtukYh/7NUzPAq4U4YIrpwDtrxpn23\nNolz/m+t6nl15So283+Zp+HtE8pdrnYTer9TKNQURqg2f69xF3/L0ArJj9K9Fo06EDyPpt8vvDda\nPwM7HNFxWuvnUyGBFgKq2SAIpBdmoQRaVqsFCDeQw9jnQW09lMfkQhJqdZW+VwqvHK8W2vBWRUKQ\ngNh44nnZZjiE6Bw4P2F6pn3nXhIaw/QHUO0mzBvXvIXIsYxQT4ELJqXzzQsxDkbuIKhWG/95EUWF\ndYh1GFiQMfweAEd23wDMdqGBuZSAsj1aeYS/wcde5hq6H5z9N5kL/vA502cClXonamdGo/waVSoQ\naeoLViKO8nXFXVtZrcLsu6Jm6XmYu9aywEzwO/lBiPzZnYf6ASCXlshPtVr1vxcicPxrJ0/PdnW0\noc7CcXj28vH8yVeg3f3IPV4Tf83YMk5efgLYds8uwyJLKBq1suy7/jPFPSDfA7tdKPb/LIt1sdil\ngzYDudOG3t4pdL5Fq0WwX88fpA6wF4thkTkhiq4EoccvAFgDkSRQzUY+PwRBX3lespVhiIhggZ/C\nWiwVhOOH8nHqeV3VskXhYECuGNu7ubDRhXMQ9Roix9Pl+WDf/zzE576SX7OVJehrN3J7NEfBYhit\ndZSksCNtvusFyM+8BvXOyxAdWh+yO5tAmhYh+ZMJ6c1UjgFa6zq40cXzZCUIwI7HEELAWuv3BrW6\nCozGc7uv6vSah+jaXp+QhmE3sWRzV/h8AJv1tp1AwQml4CWLAIaLnI5gg38XUezsSV1Rm5FL9XpO\n7wrtSucVucuvheua23PLfuqyUoFl32MHrZ43yuu8rFR8F1gutAitFe6xe/v0vPP8rVZgtncpxnT2\nrqLRgO7u0zPMx9WfwOx3cnGw5SVkG7eLzRjQHBTNBmz4zGTa0yWBYE04JvRsdmsDsl5H+iHqcCd/\n+FpeWC93oIMGgqxWPe2L10amOM7VDeFzbOeOHfPsAcPfUkuLXsDLViswt7fIVtftpwXhXRadrNdm\nmmb+PcyvHrOoaGCFxog6J5zph7V+vTL7BzndSrsGlhBAksAOepCcUxhD3Wn29j7RAlYXIXsjiHF+\nTe2tO8DZ015TQbcqiDYPYHt9CIc8wSSDqMTUAQcge32oZoMsFE8QXFxOGvRbqfbUL7G0QGK9bOd6\nawN46T2Qt/Zy6kGtSk2Xg0OP/Co4sIS02Y1NElQ7YjxMJ/qTAF4DwLP9mJj+DzCEgFC5Yi13ahhi\n4QnmgXK3bLXI5zSAWyOKiFdaq0L3UshGA9mdTYJicMBeqwEnlmjDdTzqcAKrxQVaFFxCSDyXLCfl\nM4ek5EdbOJ05Pm0eduECEp+U8EPAwjl3EQg7EpoeBIV6b98nA+Wg3Hf2hPDnVD7WMLETcZJDRaZp\n0W9aytyIvt2E7hz+f+y9d5At2Xkf9jvdfcPMnXsnhzfz8u6+zQFYcANBEkEQl8DClBkcSiWRRFk0\nWAWCoCzTMkUVWaTLFk06EARBmSZLpuySQ9EqkSIiBQIkBHIDdrEBG9+Gl8PkPHNDdx//8Z3v6+90\n9503b9+IBVPvVL3affPu9O1w+pwv/AKCMKTCxs5OFoAwJ86dUzy/SD64M9ME7b71BLC5jWR+ITuH\n3bYL6lNSel1eEb6wqVYPJrjsdiVYER/qQYKHpN0evcA2lQ3fRJGnEAtAlEA9DuHyiq8uKw8goQUs\nSTLP6CgCTEBCW0ABjqO7sXmoXjAy7Hkr9+s6l4nr8OjL3ddiZzyfmOOY48PGV+YROhVQPtdgcFAU\nYDloSXd2BLqkEw62lwJQ7F7DR3kkS8uU+DOcngMg1+UPhoYoqW61iHelFOXj+UWZy8nScpbQdDoA\now0UIgMAbLeLtBf7ok83MowhVIsKCCXJq9UAF0Qnq+sirpRfW2yvW4SUuYCGre76+Vjuqd69T5X/\nvhST3KaePz9JeHnj7pQXJdKdHUl6gmpFrObkHXHJjg7abC+mgJefG4sb2tSDtiF3bpobng9etaVf\ngT8+PkbzVBWopKDItm+LiyLow0NU0RXCIr5wkQo8Cs5bUGm/kTFQl3kkhbGZKeIsTox5/LLgthPA\n4mqW5Jy6BahEsOcvI7jnDrrOl17rGzAK350V1HMCPt5nazXaX7vdjM/Z7dIakdoMHq+E37hYHFZz\nnEb1XutEns8n4PfKJcLhxLj3OZtaBAOq4JMm3hqX50nyd8LtEUD2bPMJYbqzg+CeO5C+RNDE6NgR\npEukHSGxRLUCO6Cu6QKJsKUvvomUfWS/+17E33ie4Jkxr089pIenEA84Jd3Xt4XLywrCePMKYgDt\nwy1UXjmdnVe7TarKQ6QrkD7/CuIz5xCsHUDnmNFXFy9njYFajYqoCr2ULC6W0rhsp0NCd25EJ47R\nfHWCavHVedHb8IYxVDx1zz1ZXhEnFQBEfWEElVA5KiISx0McTOJYCu0iKpsrFGlEVmlR22nLFH7s\nqAWAX5jM+6l7iSnHKbzWdnskZtbt+vl7p4NEifMhjsnZIfQ1IGwcC6eXE3QWcQIgivLJ2nq2Jtd9\nNXMzO000mbPniYMKEupKVleFN81DioU5yt9BjmByHLUniEogWi5lyD2NAuVEu9NBolwBTKXqzbn8\nSDY2EE5OUtFaW3Aq2DdrASVLy1KwSC/PeyKPQA6mz1oYaZ2SUDcXwolxUQfX+gfh6CgVCFlY01nK\nhiPDGd85iqAtZblRwHa8AGCmJijOX15BdJSEuAwqSNc3MjrK5hbRSeJEBNbC2Wmg04VdWIYZpTkX\nzi8RWrNel3c5mpmGqUWwLZdUpylsEMBeWQCOEYUgHa3CLC4jqNcQ3E70zfiV097zik4eB+bXfd0H\nzu0AuWZTqyEcG6UckKkNgqLs34i7bk60Meb3rLV/T/39NmvtG9d1kBscl95esM//6YswQYAn/uhp\nj0Nj3/sAwmdfg2k2YQbrJCvvuGi226Puk1MPLhteZZj5Efvs4gnXmqvmyhNZBMyUjL58JycTebJ/\nWVcwx0OWH+/DXkngp/lrVRYzXEAoS+gLx1QvcjgyLKIHrArZ73zDyUnq2jvrG/ba5Wotd/lsksIm\nCSVdSSq+0jaO+14v//yRjz6IR3/0vQCAB773dsyemLoxDs1b8/b5r5LiLHOiuUpnRlpILlwSwbj8\nc8wrwLMNV+g45Mwtyo9obha225Okjzef6x36XuWVRfW5FQKUPayxCKkQF9WW+1l55IYkoU5QLN3c\n9Di03nnV6zBDDUqKna2EVyBwc2c//Nu8PkL+PE2lCtx/Cvj2Gxl0PGcrZlpDQLcnHuaMEhAvy1oN\n9z96K+ZuO3Qg/FQA+OY3z+Opr76K5PxFBKOjHodb308pVDUGsmCmRPwLUB25Pe4Vfc5t4NwR2G1T\nRVjxn70AVQv5aXXPPf5OKBj3/8xDLeGoFrovit9nuJuiYP97XZvmI5qoInZoPAq2ONrD3XHa0o0t\nL6gWNXl9rfyde+0j/dbYep2CKlYQdorhycpaCVfwbszdeoNz7s2r9vmvvQQz3MRfvHgeTzzxJipP\nvCI6D3bAzZ0LlxG44gAnnQjCwrwElD4IIGJ3pbfg/juRvvBq9nvOASE/WEwyvjqPoFYjziW7OlSq\nCA8fQnLhkifMVFi/cvtHODIMm6SlhWcRoQJI52Jre+/5xdoAzoUByArv+eKRLrp4qKs7bwMA2POX\nCW2lUFiilH+C+IuccAf1unAR7eq6KCJzJ8cON2EHqgiuuvsfhkAQwA7WgXkqPAiVZXISds7RUd44\nl1lI3n07Hn7f7XjoQ3cBi6t44P13H+g6t5dnLwvvsVsDj+j4UW9fNFFEDiOOj66flYhsgdYPFkGl\nH2TWRvx7QhXK/R6QR9FEotEAgDr3yo4xOwGToWvYTUXNRdbvIKeBLHEvNEpy6Ie9hlxTaqVIwMm+\nti/Ua5PWDQKAoNVCsriYCb8xN/zWE4DjPyOKigKXHM+xYFjOVqjf0Gtv0Gzi4R+4Hw9/6G4AONA5\nZwbqeOqLL+CpP3mR9Br2oBOwa0I8v0A88CgknQGgaPPHFmrOrQQAgkPTRAdrteTZCkXsluN0nLfP\n90cC6jUsCBFOjlMByiWi6flLCJpDGW99fIxQOkrhvl/TzVSqZCFYzYr1pbGUazQAhPARXRHeg8dG\nYZdWMhtN5YAkxc9ejHB8FOnmFgJnyWmXV8W6jRNru7FFqvhctNjdpSZStwtzaMqdZwBcXQSmxoE1\nN5dbTRKgVFom4d23Z0rboKKj3doWSiUPe/sJ2OdoLXrkow/iu//2+wFrcd97jvedc++kZfJlY8zH\nALzl/v53AfzkOzhOYRhj/mcAOwC2ANwP4GettQUflu2VTXzm5/4vJFvbiA5Ne/8Wnb6EpNsDlleA\nRdfNcz7C4u+m7GLyMHCu2PCmap1KdSEAygU97A/tqVDzAsfB4cAA0O16CTMrhQLIvAg5EHPdSK6G\nJ0vLUtFmJW1vgyjhhObtlfTQEKC03YbADvOFlT4vtQSYGhanCwTGEKw0gQfJ0YuxtdYPXk0AWBJc\n4YCDO4E6iGXuse12sw3IqcqGo6P45tffyDg0z/2Pped/PWN7fRu/8fHfoe9xyXOyvkH3xv03WV7x\nElEOivh5I0lIbfL0W8Ij5+AvOjRDsOKxERG+sju7GeS22Swk0GXqygX/8krVCxZZhZqTX9EDUGiA\n7MMKtp6bZ16HUSehgYFNcc0NPt1tyzvEAnc2jsniZ24W6eoaDCMkktSD0yRra16n3dRqCEJfh0AE\ntZz4mryXlqgUplYlmxZ97lFECJdnXspONAgdxSATCIrPXZA5EB6eFZsz5m2ZShW/9c1/0vfa9zuY\nnwq4aurNcXPkhscVPCDth9/4+O8gPHULunPD1/6Fm+Pfu/HUn7+Ov3zmDPD0tw90zt0cN0e/8dSX\nXsATf/ANAAe8zk1P7am8fHP8+zue/NyzeOblJSBN8emD5EQD+BiADgBHGMO97+AY/ca2tfYfA4Ax\n5h8C+AUAnyx8KgylWoc0parM+BgJfLFXtOtK6Q4Je0qn7Tap9K5vgtXagsFBJJezfL0Ai4zjLOHO\nJ9DORxOgxJKl7LlaJ76bLiEPBgczeKriw2pBM06GhB+sOySONxyODCNxSq2cBHMFjKubOqHqp+At\nSVaJ+nZZJ5I7yVwhNVGF7DbCsKDuHTSbVOGq12E7XRjX5dYV0HRz0/M45u/1kj+GbAM+3Ep9hm1Z\ntK1VODF+MNYvQeAlYl63WWGjgpFhSR7jK1flOVCndASpK4joSjlAVTZTiQhG5aCLCAyiQ9OIL132\nrXfgUxX0yFeWy9QhzUCd7NgYWtpPWIMpBbkO715dGKnSMzesT+WzIIy32xaucnxlHmxVxZ8NWkNE\nK+jSfPMgoC4JN7WaVMzTdhtGFZkC5ylOGb5B6mBPweAgrSerqwhOHCWfcTWiqYkMmhWExPne2CD1\n+EMzSK7Me0WjcGqSimEHQdtSHV3tJ25zWg8cCOh7nax1pXMj3TBHuSh7fnneGRfp+P891IfyLS71\nYb8Wv093YwyEq8hdj2wN8b0ZiWva8zygWVMBAAKAinadYlAkSrvu/D29hrwFF1+mKhICPlRSILuB\nkeIpQCgc5pd5a2+jAQQBAv5cp1Oq1q39wNN227N7A6iTY7e2EQ41RMk6mV/oa8Ny3WOwTue0uoH4\nNuq2h+7ZM4cQoA4Kc8bFYm5i3OuU0EUkwOQ4FRoBYGwEkVv7xILk4iXaw1QXGoBwdgFIsdlEFenW\nMmpKQyfDiTHYtQ2Ec4cQn8+445ouk/eHBuCptObV2G2nI1BP7nIaxTvNxwOkZBwQ/HiYYIFhjYrg\nqYLiMjqOvaPZygeA8AcThv2vb3ge5gAA14HmkbbbCFw8k6yuwuTtM919SuGP6PAc7AQ968B149O1\nddh8d63VQlp1UNGtDjZ/+GGgXsMNjyAoRRGxWq74uS+voMArTpMM/skIhStXxYLM+5oSKHjB4k9R\n1UylmhVq3Vxlmhvx4o38Dq1VicQa/ZGOOUVuF8NoK6ygWhHdG/ruio/ASRL6TJk7iUYBArRn8XlW\nSbhU+14HzaYoGYuuw85O1hBi+DbbaObv18IyqUa7zxRiTIax8892dz3ERXbyLl5U2gZyiHYOEXYA\nGjd2yM2p+QWZN6ZaRXL/rYjeuOxrOpy6BUZZD4Zjo4gvkHUu8jQ8N5L5hQyJ6qDBdmeXYpzACGIh\nbQ6QBa/zWfbiDTf4OLbT8WDGdnOLurrOTjM4MgssrxW0cxINyS+zpDOGaF9JKHuNaKvwR1i9Pcn2\nfrhGlxkYyGLgbo8oBPwcbUprsbImDMdHyVXhxLHMQ7tWcxpI06Libbtd2LWY0JoAUKlm+d260yTo\ndWn+ra7DOPcNu7JKlCcujoy0YI3xchjb7ghv30Obnb0MfYcEBh/11354J0n0krX2x/gvxph3vYNj\nlA5OoN0IQB3p4kgS6XTxy5hfNL0FmTc5FimwljaJJEHQGgU4yWm1AAV9kG6xSoQAFDqzabuN9NJl\n4rwODiJdXS2H7bmJlk9aTK1GXoWa/5NbrPQEkMSaeQdu4TLVKtLlFTqOMgfnxWdPb0UdKHM3meFG\ng4NIFc/LttvCMYzmZhFfvgLbs74ntbNqEF/TKAJYzEeJZgEQz1a2Kgknx7P74OBBeQVsABRIbhPP\nTAoTyqYiOjRDQiF7GKXvezhv2WhmmooFiuOoPYjjCxcpKNneIfV3azOhnckx4v0470Pm3aftdub1\nrD1WFexJ4NiDgzDH5pBeVJuQU1TnQgqc1zSQgwvOTCPd2CyqYFei8sQ4zexfZOT5Qn1gqBm8NSpF\ncuQtr8LxMeKkumCboesMhxKudbdHcN88Ly6OKaF26vhaRIb5rrbXpXuwTV13Ro/wdaRnfEhgMDoK\n22wA887GbnIc1gVJtHFY4h1duixBYLq2TgWPgxCzc/dZWy+YKCoGaEkiAab3Y/fc9btje11KukEJ\nGQegeS9zT0SIf1ZCUdBogGtBqL3rssU5I8+rTwGICliWEm9Q0CNaAfyZ1FFBcgrsplr1eGjecXlt\n20dHgq8zj+zRczvd3RW4NwChbwSNRoGXaeYogAvOX6ICWjUL3Dl40j7KyfKKWMGEToCFhRUPxD91\ne5cgddUKBr5OSZpOujTclb2vQ4YQ16sAry2pQlXVqhlsf3Mb6fgIgs3t7L5b681xOb5KLkgMLkYw\nNiJrpCfM5jjYWN8C7C7S+UUqaMGtqcqbvAxFY3VRnK1lgkBoJtkNCJBu7yBytlEanir+wrtt8t2d\nGCfYPX2B931inwZ4a1kwOAhTq2XOFa6YZU4cQfJqf9acuI3w9wFElXLHBIBguFVIXkylivjipew+\n33kL8Pwr3rsnBduBukAdEwBDb9cR//rf6XtO+x7WiqiVHqnSF/F+3gdyW0jM9HAF2Gueit6jFELO\nK3h3nf+zS17kd4zJdDwUlQ/IqDMmDGDjonWVFHkCQ8U+5XphkxylkOPEHI2qVBvHCcXyZ8TxInGx\n6OYmIbIAKVqKRk6SSIGH+cne34MQNkmQrmzLd7H9kR5sdZpdq9/UEIqeai4BEK0Y5oKnOzvEoz4A\njRvTixHeeRuS197MKBTjYzB/+YKXREUz04hPv0XiiJyA3XYCULo7/UY+RknX1hG0WjD1mhTFo7lZ\npLvtTFei1aKm3MS4rIe8TobjY0jXs3iF6XT873aL1tS8XoeJIk/noTBcs8vTdcg3X8bHSNRPvQfh\n+BjSrW2krokBUPNEa+KEwy3YdSrIcOEGUURaUmfOqSI85Wfxpcsi9BVMTSBdWAKa7twdtSe8/VbY\ny1RoCIYasGlKazzHuSePI51fBG4jnYd4uIboW29KvE0XmCr0q3ofk8Rbm7MbUrxtPN4JJ/ofAPgW\nMjj3T1hrf+U6fv/LAKZL/ukXrbX/2n1mBMC/AvAj1toCgWL+3KJdX96iKminS91ka/HF/+Mb+Nxn\nPkffU6kinJlCcuWqp7LIwlPB6CisEzDS3rEyVKKnuRmmVhW/Qla1Y2EJgXQzDyIg/D5/v/g/ukUw\nzw/TCU84Okpdls3N/uJhKOn0qSQnbLVElEpUvUv8hlmRGNZmARlXLPt8dxknucx3Ur+c0mUfGYYZ\nbglfHXAK5wtLxZdX/X7QbMIcnSWPuDRBsrruBWsf/onvw+M/+SH1ywFgLYYnmpg+dmOevfOXV+36\nwkYh0P78730FX/6DZwvXHZ08Dru0gsR1jbS6JysGsyomc4Pz3Ny97gXgNhnlGatHGdS7MEoSYH6u\nPA/y/tZ87vI9fXzMC6OPzRbPmdL5dC2Oszr/aGYa8fwCwqlJ2PWNDJkxNQkMN0UU0Lsv/I43GiRs\nlleBz9ls6cHV9Mc//v34yH/2wewaAZpzU8OYPlruK7jfMX9+idY5IKvMG4PP/6//Bl/43a/I50Rz\noYSD6Xl4ax444KFM8l6/ntgdFzqc8EzZMwkajQxVU6asrLrA1xqC8lA+q3tqUjDnrFYTNExBuEzN\nFaYOeBQFxwlLO1liJ8r4nDi69dwTgSx5h/Lzlud2MDiYiQP14nLqDB8TlASx8r5Whv2Bv/s9ePyn\nHvPmxIHOuYV1UoZlCkUQ4Av/7Gv4/G9/cV/H0HOuTGgtPwpaIACC++4Q30857h50pcI57FXUYV/f\nnDYKowX28h0PBgcRjI5kKKC9tB/yHWo1L6LDc0RZCcOsg1KvSqDIgTArfXvX3OeemkoVoesos16D\nt1bffitwZUG6UenOju9iAXhxEiZcgHt5AY/96IN4/JOPi3gUx17D08OYPnxjPtHz5xbtuvOC5e4Q\n4hhf+N/+DF/+w+dp/iMrsrEbCkAIo33tPwc05J7qZ6tjJxfPSOzEFD3mOJcpbmvhLDcHkSSZYwwX\n6dWQxoaee/k91mk9SPexTOm6z+8W5o6jN+Y77Sx2CviJl3xP2Rrniv5m2CEr8jxqd30f+c//Jj78\nsfepdcgAlQqGW/Ubj+fOLdr1nR4VDXlUKvjS//MkvvB7Xy000kqHVuzOdeAl1lVILTM6nCXPjl+d\nbjqkGM+TsVHYjU1xeAHcvmsCcvAp2S9EjHdiDHanjVShJ9KdHRGoBUqQBFDxzh5WqLy/70tQNBe7\nhqOj3rlzHqUFyezquuRK4WEnOHf2PDWkXLe67NyjuVkq5i8tU5cfIFRerapotVvkJnD8aNZQS1M6\n/qEZWOdgZBqD+PCPfy9+4IcfLHzP8GSr75x7J0n0FQB6dztqrb3lug6y9/GHAfw2gH9srS2qigA4\n/cxb9lN/6zdEQZchw2JPc3iOOpqcRLrFy1SqMJXIW3w80SCGQpfAtvMJTDA4mKn+AoXqjx78WWBv\nKOxeQ3yQ3UZceGlLRGt00ppubVPg0Gj033SUIIrtdT3/YZigtDot6uHK7sdLBh3EVgoW7h5Lwu1U\nkvOK51oUKRwZzixSOh3qXJw4BhuF1OHJBcwMuWNl688+/as49Z5bbmjRPf3cWfuJB38O4albYK8s\n+BD03P3T916uiVWep6fIVslVdgtWYA/chfT5V+j/XVdCfwc/58I84HulFKv1nIjmZgkmvVcSU+Cz\n+2uDt3HnquCitKtUJnXxyjtOCazOuxf83TlbiUIgwQHfHj7RunhkqsSF9pSSnUAHb+Th9BQV1PJ+\n0w4l0W9I1yml6v2n/+VP3/ice/Zt+6n/8NM+bL/kuURzs7DbVIXWHVivSAM1Hxhq7yCKJor2fkYl\n39lPGd32Yi9o6yumxYVEpZorVX2VyOQ7Ifn3Jf/M89coVfbtHUnITRRRd08VDvLCbN67q2C0JooQ\nHppBurgkvwtkBQYgU6fV70S/OZ+/f7qb7O03KvjVrgmAQ5isb+Az3/hlnHrg+I3NuWfesp946L+m\nczl1nM4/CmCffbmAQLGP3otoYQNYcsgoplXUa/sSD2KrpeT1NwuJoaxve6i46yGdEFeo3stisXQ4\npeZrJaxl816+3wVo4hqihNFE54T3B17H77zN6zBLEZN1N8oE+1yBx+uoP3QvglfPZgXnwUEEk+ME\nad8jxovmZknR1yU0tt2hztItx2HP0TvH9Dd93dHJ40ibA/jM7/0ETj148obn3Kf+k3/qKQjLJddq\nGaz58CFgeZU6Wi4e8KD8Loi2TgNHj77Cq2Vrm0ORCLpHuazwHOlbpOF1bXSYmi15O8oySp1rxgCU\ndAb1Oq2BYltYXNN08ko/SwvJrLh55JPoIJC1r1+hXd4/ve5EUXYsNQc1xFhfJ19P2T0KbzlWoE55\nH3HrpUb0cDHxQOI5t86Vjf00IPp9JjzlUqGriwWNJC7KavQUoxsLEO56PUM67O4SJDrfHQXASEKA\nEBLeGuaoDwCkC5ws+kghGXsk0Hw+LHDJReVwarIQE/XNgxRKjotC4eSkWE4x1TWcGJdjxFfnM20b\n9Omiu3MLJicQXyL6jwlDmDtPIn3pjfJrRYbK1PG1edfdgrQJ7nPuEq6Q+9kX/iecuvdI6Zx7JzjX\nn7fWfoD/APj4OzhG6TDGTAD4LID/ylp7xhjzI/0+G1+5SgHroRnhHYTjYwiHW4gvXKSbs7GBYGTY\nSwzTHQqmNPfMRBFBE9xmKVCEyXGR4U83NxHedtItQuRrqPlf+UmjPeHSnR2CiLlujFSOeIJXqkVO\nGy/GahEBVIDGfE43bBwjnJz0oY2cuLeJS5Hu7mYJNB9/cjKDcqmgL5ycJKiIe+lZcZYXTE5E+Hiy\nQeXE1pAkxFF1iZ5xXBAJnAcH/WAd2csS5F4e0TKp4QAAIABJREFUG8cIm02Cgpw9L4tw2m5LYhmO\nj9EiNTiQqX0fxHBcM7OxJTYrheDfqYqHrVZWmOEN2fkNY7dNsEfQy1/gBj//SubNp+aYBPdunvE9\nYVVq4TevZ10UbauGSPHb9VxzNkoEec7UliMH+fXObWcne75i+RHR5jw2gnB2OvP7Hhkmq5GShdkY\nQ91f9y4Jx50LN44KoH+X51c0M51Vd9niq59PtDHCQQyarlCTpAhHhhFUK1SkUB7BQaMBjA1nHDI3\nomNHvM1Cv2Ph+BiCZpM8653NRXzh4sFAa2+Om+PmuDlujpvj5rg5bo7vyHHdnGhr7e/n/v6VPh99\nJ+NPQOf0L1wguwngX/b7sLY2iC9cFD9hbGwJvLGsW4I0BSoV4vU678HEcYkZphk0GhJccwKuK2dh\ni/wFmTPFHEpOKvNVqmRt3XXMup6oGFDkHwBUyUwc78JUqh4cmBW6061trxPpJcg2RVCvZZwt1TFJ\n1jIYNJw6c5KzteJjmTDMEufVVeGS5qFE3LUOR0dEYp+qp1Sn4Ypc/PZZuncDdfFQZp463xPubjOc\nVFdvbZIg3WoTx1F547KyM1+/jyg4gEQ6ihCOjkrFMJyZBtIUxs0hHtrHuLR7GWbcW10Z19XIdGvb\nL/ooHqL4Ubr/RodmkK5vSMckGGog3UxFfMX2usQz1sJger45fipzAnkO6MqowIVLqu+S1OcgWcnS\nMnFUSjrbyeYmRESEOVs5brYJDBAUu5jx1XkpABWq/Pluk7UImw2gWhFuohQm+Pt6mRVdur0NvPqG\no15knaz43AVS7j93EbCp/57kOm7BUAMIm54wyjsexlBhT1eJFSTKOrhffOkyPe9uL/OodiiZvKiI\n9y4xx6uko2K73T3h28nScqGrku7ueoUYhArOmO/wMt+eq8Bl3fDBQb94kbcpajYJHq1EebLO8Igc\n37Y7CFtDPsR6cBDGcYrTS5eVh3Rm/YbUwtRrHl9cUCRGdbX12gNIF9rTcdjcFHglf090/GjWXXD2\ng33FH9W9sd2uN9fjK1epWBcfwJxDdm8Sh4gJx8eAMeJh977nHgBA9KfPwvzF8zAz0wDb+qyu0jnt\n1fGFsnKaz9bN/HskSCTXjdGe3fluBwt5ArR2ljkU6O5PODFe9HG1FmZoyFsn6YAZEgZwThE5uH44\nOgoz0vI6qaZS9e25Agf5dXw/jkvSN7Pf0c+U3wuvE66LilpDJU1gXjgNm1qvg202avSdruPfm2ki\n+PPnsu8bHCRUmNvLAGXVk/jCnmaokfHdAWBnF+lUa1/wzmuOMER85lzBXor/K3HAhcv0vq2sZcKG\nk5PENR3yEXYepWB0tK8eTHT0cPYOuj3BQx4of3lArYX9eLm8rvVBYqQ5D3HRf1Bc09TFZHkLLR7U\n1IiL6Ba2ZK1kNkXGGBG3S9fWC2ssewYna+u+aJXjTLMndTgyTHFEfg4CmXCr2qe8+820KgDYJbFb\ne3VR9hcW9YuOHJZjxQtL5AKy7hphwMHMtX2MZGMDyfvfDQAI/+xb9N+c3Z5pDgHak9vdRxagkgaW\na+4AROEpaHXUan6XlvWNhhpUmAdgBgaQLlEcwM2NeGEJrPNku04cuVaD7fa8NSDdduthCWQ+vO0k\nACA9c16g33J9jkctzZpuD2DhY/du8t4cjo5KLCJUQGVxRf9jPVSDoIeZdlarZUhgbjIyekRbEbZa\nJCisaY1HZoFujzSS3PMLOnHWoe9kDR+5/0ODwOYWaTEdI6vA+LmXEZ66BcnptzwqUVCv79mM2zec\n2xhjrLXWGHM0908/Za39R/s6yAGNS29esS88+RbQ7eHJL72AJ//4GVHlLQQhJTxOIEsmPRJ5Do5r\n6gQlEiXstXVSfUtST8AIKAZ4+cEQY+0bDSBb+NSC2RdG7jx1mUOqLa6Y16ghzTbNxMHkup0quVZx\nFFisg2x59zDn+Ro0m0CaZmq61iJtd0hVkF9s/q4yXm3ungTNJgW/jmNeClXL8840V9UYhCMjFDRU\nqiI888hHH8Sjf+cDsOtbeOD9d924r+CbV+0L33gdttfDU194Dk/80dNSkGGYC3sI83zSXsi6CxwM\n1AtcdT3CVosSP5eEslDSfrzKNexG/JP7wZOuAeHJH1f7S5d/qKhaz4rzQWsIdntHoIp5DnmZdzrP\nZw0l1BzsMpXPgmp5jv8bjo4CYSBIChOYTMtAcdiYx56Hcxbgw5WqeDI/+kOP4OEfuB8A8MAH78Xc\nLdM3OOeu2Oe/VuKfmvdcducBm2YdcMfbZTE2+nyKYGiIlPThJ8fCwVTvo8Aoc2JmeZ414EP58okC\nc1ABSkL3420KlCTNuSKJ+A+XzLnCsfbQlSgbIupVcrwCVFjZFGoRsOg4bZXamo79f9M3zsAmCUIu\nUCof6EJxSEH7tEZGODqKhx+7Dw994E6YwOD+77vzgPxTXwFg8dSXXsCTX3iOipVOS8TcQQlZmlOG\nzm5O+ZpivotMPILz80iPTiN4/Zz4gcp6qe1mevG1NR3cYHtAOrGkAJ2WzzlUGa8PpRQRLaKZo8d4\nx2LP2KvzGW0sx/vXfD6Aioe6iLKva1PrmY4RohPH5DNiy5nzQgX2AWN31xIfdzI1T75Ix9K0ILe2\nBKdOIn3jLB55/F14+MMPwAzUcf/DtxzInHvhL0/DdntFn2gFdTbNISoqhmHmutBowMxOA4vL5WKy\n8N+pgsI5lNbDOu2ZAh/ldT83pwn5Zfc9PwF/zSz8m9NjAMppC0JDZHg3v/9qb9JevHkYuAjedXtZ\nEZh1FwJySijMx/w1M90lV8Bi6DkAEboqi9dEWK9kbYhmppGsriEYqGeWni6m4/N85KPvxiOPvxtB\ncwj3PXjshufc5bOL9rl/8wIA4KkvPo8nP/8cYFOEh2Zo/2M05FAD8R1HEb123i+unLoF9uIVb62O\nThzLilGXrlBRS9GV9MiQhT1CgLp921Sr4ocsYmDrG2DxXC5q6PidjxU0BmCazSy5dS464bBKavm9\nqddFNTxdW7/merQfOpIeYmGrCtv5uEXHgeH0FKFWnR0pQHO6UPTJ60EYg3BsFOnGFoIxVzh3iuva\nwzpZXOpLd+X3o/fQ7Qi/9i3590c++iAe+Q/eA1Or4f5Hb+07564niX7aWvuQMeYMgDMAa6QeLCd6\nP+P0M2/Zn/7eXxK1NZukCEaGqSthDOKLlyjZbbfJOmdmCvG5C17wEx2aQbKyKoE6L0J5ZTYTRQhG\nhjMxMboZvlUB3Ibc6VDnVW2+wi9mDhT/vES4QWDMuY1PuIY5bl1Qr8M0Bqlb3adbKD8v40wzZ8bB\naG2vm4ng7MFBFYuaNMlM5fPHd8mtjWMYY8gAnRWG8wWHEnGW6Mhheo5OpRlw1cC3z5MoxbHDwNqG\n13E2lSqCkWHyoZ6eIq5XtYLf/JOfv3EOzauX7U/f/w8k4Qonxkll25m1s3JkuraOoDlU6HSwMEe6\nuVl6r6ITx0jRe3E5CwRZmMKmJESUmxNl1XVRcw1DWtAVt0o+0yewCppNpFtb11XxFZ6U60Dmrwsm\nQFCvSZdSf5epVoTHq4tK4fgYkqWlbLHNBbK6KBDedQr27fNiCaI3d1OtZkUcXSDj+acq91x8yV9P\nMNxCsrrudTKD++9E+sKrfsKe44h/9plfPTB+qjdKupx65LlWydKyd0+uxS0F3Ealxaycx7knwuQK\nSIFTKU4uzwvlw7PHcEGbbIwDAzTHmM+XE+fJLqSc+53ML+xZTNL6E0B5l70wlDAQV8ZlfZucFFXv\nvsIqmruv3i0uJiCOYer1YveTfxfwBJ6Y25ksLpbeB12Q5e9JlpYPhiv40kX7ifv+Pl2LU7y2AxXY\nb3678NlwYpzWdWW/lh95bmOyvFLo6sR/40HUX7lEwThbiSSpp9bNHQIAXjDWT6ugwJ3PrU2mVkNw\n8qjPR240EIyOCE8PSYp0a7vwroUjw1kwy8KhzQx9wjxRU6/76LA0yZ73yIhPCeszouNHkS4sIRgb\nlfsRnTiG+My5QlEAyDrmZXu45vzJtbBGya0n6JLdcwmaTQQseNYYABZpbia3kUZBdH4B8dV5/NYr\nv4nb77ixhOb0s2/bn/nwr2VaFQBY68YrzjGHMk2zd6ykQJwXu9TvpNesADKLHqBAz+JYh1FvepQW\n5YIQYYvQLXsKYvIxOMlVz4kTZk8NPLfeSayZXxfEAsolZJWI0DQqQY9mpqnLq6h7pZZT/F17cJsL\n+wm/lyaQ42s1ff9k1brm3o3o8FxW4NJuK1MTADJ03EFxon/msf++NMHVgzm56W67qLeSi8H0/dhL\nULFML4fVyz2aoL73QYhgoI7AOdfY9U1PUwgA0q0thM1mVjCamaY1Iyeqyd1pzv1st9vX9tIXlg18\nd496rZSnXSZwWlaMNLVMUC08PCtxvkakhFOT4rwkoox6vnIMlxO40+812ymWPesy8dpwYhzWFR3M\nECGSP/vMr+HUu0+Uzrl9w7mttQ+5//0Za+0fG2NGQYn0I/s9xoGNgTpVx9UCmiwuik0GTeBVqUbz\ng+aJGwwOCmSbhVpCt3nG5y54MHEbx34A7yZDgcsqXssk3pAsLYsKrBaIEssEhhqxH7QTRQtqNd/D\nMk18yKTqjmioA8PXC3BbhkWVBJ7h5ATS9Q3iPrOXtajO+jBsU6lKNStTNk3E25LtZuTYzWZWSUwT\nBLprvK6qwLlNUDzxtrbp2akXK3nzTCZmcfEKzOw0zNp6tsg0BmTDQGph5mZgrx6Qcuf2Lt2LLm1S\nDOsDADM3g2hrh2C1jUZpsOz5LGuor9tM4rfPIpwYp4RzZyfz++WFcmAg49DnxMYA+HMC8KxN8sNL\nxlWgUlZplE5mH0EyqXRbS9ZTbrORDcYmSNudAiwuz4MXNeiUOPSepdvKmiy4WhU5HG4heeU08fpz\nnXqBHzm4lFS2AbLwcYJ3CAyS+YVMWOzwLNkqgDYv2QhVpzZ98TWq/tYUtzxNso0zTQ4OWqsKZfw9\nts+zEP9S0HNJNzYBE2SiV2HoeWd738P2dL0edY1zsD0Thh4km/UG0twm2g/1IDAqUQ13wTJD+PMi\ndjmxwaBeL/VFzw8W5pHAOF+sA2TTlfnCNAO9Dg3WkW5vF0QYvUIiUEA5ebBrhoFbi1SrwLrBgo8A\nJZcsLGaUJ2X+vaEvDbx7U9YpfcejowqqO84f2nWdo5PHJWEWT/eSBJqLTED2nnsB5eo60ve9S6DF\n0Z8+i0QpzANZIBQcciq2V7JAnBM+LC4jvnCxtKDoBakjw16HBnD74oJ/38gibwnhGMEh7egg4J6P\nPq980GUqVZjBARHtCScngeEhJG+dLQqjMdz1+GwhoZXj6SJzh941Ta/gzrN1c40LCUGzmXmqtttU\naH79zez63Pd5wlndHsVNnDy78zXqfRNh0ntOITzt6HPuHpit/raZ+x7WZnNYo0pcY4TnTrK4WBBh\n8mD7rO3iAvh8YSD/u1I0zhUWPbs/az3oNqNf8vEfox88mP81nCtY/NGzE3SxmE60dGEXcHubKggD\nfrGQYazc1Uw7maVUuknIHely9rpEB8lTINjKT3voOug8n2e+IBvNzTpf73pGS1B+yUCuqKb0XUyt\nBjtQk3dP73eFeOog6HlhSFBeV5Dia86L6Hr0PEZ/pCnicxeEfgPQvqPvx17Civm5kywtZ88xjrNG\nntZVSRMgCHxU08Q47M6uZxWYbGwgOjwHAFJ0C4dbHj3CRBHtM3zoMpFXR69ixI2X87j3gxN/bjbw\ndZtqRYpA/LyT5RWhlSBJkLx9nqgGDE/nRlkuqbW7u/J3toqMr1zNIPKuMRUwnN6dq35u2vIyL9jo\nva+8H1sLc9yphocGmF/Ys7G0b2ExY8x/Z4z5bZdAPwbgIoDTAA7t9xgHNjiZG255P7ZbW5TgLK8Q\n/29oCMHgIKLDcwjuvxMAMql2QDq3zJHiG8oP1PM9NkY6OwA9GK3ICriN1piM87y9LQtRXmGZB8N9\nPZiMCUqhsTzSdlt4m/SPSgWWPSH1ucMXOuMRX7mawUgYEpKrPErw2+tKh51fQgAC02QYS/aFPoyW\nuzjJ6qp3XdJRHBkG+0oDKHg6hmOjiI4fzTwDt7eJo54k9GKkCfn0blCnN1lcRPLmGTpe1TeOf6cj\nbbcRTE5kvCf2dnYvNp+Xd97TUyR4xkJd7llJgqvVWnd2M1shPRxfkv+UwoMcL9GbJzs7MAP1fXsZ\n5sX2TKVKi9EeFi7hxDhdc5rCDAxIICy2cPU6PZuNDYfgUHU77gBOTBDPs16TeWs7HVnwTGCIG8eb\n7sYGFZc4QHc0DoDmeTg6ioCfeWoBawuVfdvpwO7sFLncV+blPnMQFo4MZ8Uv11G3cU+sEfgzHk9O\nJ9g3x81xc9wcN8fNcXPcHDfHX6txPXDufw7gY9ba1BjzdQC/CeAPAfyutfZj/w7PsTAuvXnFvvCN\n00CS4Ik/ehrffOo8QXhHhkWkwMPbKyiBthACrl0tDEdHM86uGtfi2AX1OolI7bb7+0EHIcKxEanu\n6QpYAdLNHL1+HKccT7iMB1527tGhGaSra2B/1bLj5pOoMmh4Aa7Bwk3drnQB2S9OZPiDEEFjsJDI\nmZNHkbxymmw6ZqZgV1ZFmA1T47DnLsI4OHB86bLA68zstFSd3/tjH8JDH7wLttPBAx+4B3O3ztwY\nb+viin3+i8SXePrrb+DpP3/dhxveeoKqm6+/KdU0fs4sbOLxuAbqHtw/OnEM6dKKWLVxNbLUMqCf\nNylzT7lj2+9zbIfF/oD8630oAcL5zNlO7WWrBvhVxVJOWBBK5134yMwnPHbE3Y9QqAB5/i17cSMw\nStG9D8+RIU7umeShb2ylVgrDy4melY2g2cRD7zuF7/5Pvw/p9g4eeP/dB8MVfPIt2HYHT/7xN/Hk\n5571dAY8iPTmZrmPeB6GmHsOZVyn/Vh8aPs8YH/wxfIDOfRNH7TDnlYp1zg3IFcY4u7LHp1bKTgl\nSUEDQFuU7Pn9DNNU5868Uu6Q77mW8/c5KKG2ejJDDfG9BIi39egPfhestQc2557/s5dh6nU88Qff\nEH5qUK8jmJnyOiF8rcHtxObK83FLx0P3IrqyWoBgl8H9hFYAyJoTHTsiKI/4EglNlXHn8qNUh6HE\nmg+4NoQ1GB1BOk78O/v627KOaGEb7nrmxXRYgMdDbbkCd3r7MdhvfrvQheSitacHMDqaQSWV/Y3u\ntOSh7oyw44K5qdcIeTIwkAn8Ma3Nofp4aOFU5goCONA5BxhZ55ibHraGBKZpBgcI7bVPWkqZJzJ3\n/IKBOnVAy2IZ3anf58jPr+vVYJBzLtNgiCKiJinfaFQq/ZFjSheH6Wc8WD9Az/t+GgLh6GjW9U2S\ngoaGeGHnu/J78L/lM2yfiqyL7t1DHc8C/07m3ItPn0G6syM8/HB8DCYnZskjnJ4SlEeZFRtQjNl5\naP0EppGyWFqyuJx5iAPUBWVrSn6+miqn6CCiA9Rw6JMo8jjFNo4Jtp3bszSaD6B3AUHgoT5YU0nT\nE7gByRoFMPR8goG6IKq0XgGQiyXynGjXSQf2pgvk39n8O8I0HKEC5FBsXr7D/twz45IHapQRx4Am\nivDI4+/GIx99EDZN95xz15NE/5K19peNMeMAXgUw7YTGfsla+8v7OsgBjdPPvGV/5iO/Lr6semh+\nrGxEDE8rSUTJ/iciyGgl8h8UC/JwYD83C9vtUeer0aAEeXIc6HRKvSnz52V7MYLGgCT6ADxeskBd\n9ghiBfZq0+Kip5OAPJenLKFSfAJJvqNKlsz0ScLEl1fxvO3Wts+/UgF8md9xODmJdGMD4eQE4stX\nS0VcwonxzHTeJVymOUQcLu3r6niXeuMPx8eQbpCR/Wf+9BdunEPz7QvkTa6DSBc4mdFhSngdLcDz\nrmR/6FyxhoOsfOImyQlDjTXcJA99Z+Gw8TEkq+v9O8b6d12BxdRqJFaytU3PkNW9c+9GftHSFAgW\n85NNXkO/WGzHQdaMMaU8LrnuvEZAqwUz3EJy5SqC8bFCxziamUayvIpgbAR2fWPPoEormpeKqOj7\nND4GGJMJ7DkVej23omNHkC4uE4SzhOdjO52D4W09f85+6kd/C+h0EV8mD0RP7dwFl+H4WKEQ2E8Q\nqaxAYhRSI8+9BzI4lLf5lqw/+eOXzZ+yzyO1NBddkFjGQSwIxqGEW6bWJUbCMO2H52LZPZAiV08r\nevre0wA8SCUnWuL7WQKrzAc8cu945AQlpfjmUCvM0WfRFT5mKX8xCPHZJ//bA/Em/8R3/UPgoXuB\nZ16R8+T7UBYce8rrxiCaPYTkECUi9pmX6PQYeZOmGW9Q+USXjpL9R8Tk1HmVjbDVgj3q7Clfeo0o\nHXkRtzJRx1wytJd+BEDIFA+Cqc+TFcbVuTLUMl3fKOhPcFDpiRXNTFN8srgk95BpUqHjR+q1UUOY\no7lZoqOpfy/wjCfGYTvdQkLmvce33yrPiHnyOHcJ6eYmPvut/wGnHjh24NoPXhNEi4EZg3BiIkvA\nNrfE0UNDjYFsXoYTY/05vyV7W/aPmeir3ItWC8nWdhYfAfIZE4YKKbdb2GfyPNlriTWJ1aVLUOR4\nQYigWoF1IqxA5tGOIBDUlV5T5JhKq4ePuVdjRgoKvL/kEqEyKoV+FggMnU9eAyN/rSPDMAMD8py0\n5kz+3Pfip+537OUTXXp+42PZGlyrFeKR8K5TSBs1mJdJt8F2u95+wSOamwXSFMkiUcZsHHvvl3fM\nnDaGCUPZG2ynIzFKMOP2i/MX+xYUBWnaGiL4t0M3ApBYEybIqJZpQmsou2vUa0AvpgK+m1/cDCNr\nXXoX+PnJuzc7DbuxJU00PpaGacv13n4rsLLuxTLh+Fg2/zsdEutsd4oQf7fv0Lk7LSAn6hhMjvfV\n7bhWQY7/fa947nosrtg49scAfMlm2XcRJ/xXMJKlZam06oXNNBoIXXAbnTgGu7FJAh9LywgmxkR8\nzOT8dpnXmQ/6+DtMFGWVDie0E9TpZZJKST8RBQBmoI60vS4d1XQzhU0S2NTCVOjZpNsZhDof8HPA\nyDBXUuzzFyTZtNPECZ85HoCbiMHAkNgUSGFhcBDB1AQlh9Y62x/+zggmrBWrRI57EAy3yIbL8b/l\nWitVBM0hWmw2NrJkQ206vDCkS8sZPHpp2VOXFkXmW0/AXlkAbj0KnL8qHuAAbZCIIsQXLiJxL1ZQ\nJ1svzeG70WErEez2blYldJDiZGNDeHPh2CjxNXgTCYxcQ7K4KFzNZHVVFgFty4U0oQWm15UEWgo/\nzabP1QLNKezskDLhQB222+ubIEryba0E/XoR481diyKJOuvAAALXCTFDDcDRFDxrL22PoJ4PoOgL\nzuagTHiN55Lc7zhG4irCqevm6w2Vf98Yg0QpfnNSZntdCmyiSK65LAHIq45rtdNgfAz2ylWgUkN8\n8ZIEU7ZaIdTB0rLfzQ9CGGNwYEYcbAk3PibWFjaOqdqrCweB8RACADyUg3e9Qw3f9qoXF+xyAD/A\nMwMDSHVi4TQpyu6nl0S6jXQvZIBwtfR5OqueZHVVgjikqYeUoItMPFEWBCZbu7UNGQe9xu98yL/r\nDlLojl2rUbDg5g4dP6Q11xjpSjAvTuscSKGJlZh3Mz40V/YBINnYUnQYm73fihZg4xh2e7sYcIwM\nwzB/8NKV/Qmo7Wdwx/f8AmJO/I4cRrKwiHBmCtbxpO3cpFTy9bNjIcjQdUfyIbPHG1SBIytze92/\nkoA7WVuHeQ/ZbNlnX87OV/EAA+aRv6S0N6Ymvb05n/TK8XPd6nR7WxABACSA5r1aRG1SK+9QeOtx\nmN0O2WXlrkF3d2EM8Zjd+sj7H5CtmenmlqzJli26Tt0Ce+mqnzzffitZhq2uZ3/facMemgCcbgks\niUyFpwg5YHoxddWMQXj37XQODk0QzkwBzuYorWRhYrBO71rMyd8+HCOuOaKoUCC2u7uyB3kNBWuR\nrq3Tvg8g2dkhRNL2jjyjYKBONkpsUTi/SAgGYzKqXk5DBCAutE6YTRjCpmQVmO9O5+ly6eYmrft7\nAGasO77hRNRR4PSxxApPIQm5qeEVE8I6DPz5SgJ3fhfOixmMQbq+6RAYLMJEc7yfGFsBpaksFtPN\nTSBNCxxcTxS01YIZHUGyShaTwRDxTjlWkhFFiK9cleQrWVpGdPI4oN9HaWrlqIMHOPLzMJyeIvpo\nEMq6XBrjX1mEXV3dc+8PGo1SXY/k9TczsS5jSBg2CCTR5thQF8Q4R0h3dpC6GNdUqrTvVDIqWYF/\nrYs4bNvHlNLAePs/2fI5UbotivlYsJl+j9YCu7MjImUcczPnPj53AdGhGSqKsBjj9k5RDLDVApZX\nqZnJRevUIl3fkIJ4OJ0hofLcZljr5Wfp9nZW6F4vuqwAKOgR8O8CWRy8H8TL9STRLxpjePa8DwCM\nMb8HYOw6jnEww91Uhl3YhER9WCQIQObrmpI3atAcQnKBXvJgZLgQdKS7GfczbbflpscXLhaC0XS3\nLWq9WszLMtFeL8SVKgWuuQeYidok4mPm8Yf5Ul0wqb8/WVuT7qxWBNbQaFOvwfR6MMPjck/84Jn9\nWlOvu6oDatvpkPiSuibPcsMFgBoyySqCGiUgQW9OITCo1WCGWwiCQDp+LAggXnFjoyJ6ghdeJXh9\np5NtsE66ns9LINSTk1kCXc/U/t7pMFs72YZSq/lJXZp498XOTQIbGwVV9LTdRlh2Ltxlj6LMr9aJ\nRWiYrobn8fVzh7RQ9e5jIxVNT5HwwvZ2X+SEFiSTzdUY8j7VgRvPzVwgJe+WS+x0ZTTd3i7vdHYz\n8ZM8d9rGsaia5+2WJBm3qVe95kKTqVZdJVxZpdRqxJPfbQPVCkwYZsJibhO1nQ7iCxcRHTlMFhCd\nDsLZGdi1DWBtE6ZWRYCmz4NOEyTvugeVq2uFe3pz3Bw3x81xc9wcN8fNcXP89Rn7hnMDgDGmCaBj\nre26vx8DsG6t/SuNGi+9ccW+8PVXYdOG00WxAAAgAElEQVQU3/zGm3jqa69RR1PZ+VyLb6Yhnuyn\n7FXj8lDnHLSsDF5Y/BLj80hdomvbHeFR7WVXU3oNLMaU53Ir+Dar5aUbWx7PFMhgZmWQcVOpksIy\nf6eyANIcw2t5FnsQIsV7hTHOviiDmZpajQocrpvNFSQNydfPIJqeFGgbeyGbWg2mVkU8vyDHf/RH\nvhsPfz95kx4Ih+atefv8V78NU6vhif/3L4hDMz0FdHt+svrQvcDT3/b4HNq/m4fuxnH1Tj+T/L0o\neHcrWG/AFbUy/nrOukzzNRk+2w9iLd/daCCYGCt0bnSBwKjOHfsTFo7LSu19YGxl/O+g2aSCghMX\n0/xsXV0Mbz2B5K2zpXxtKTgopclgqFEKy9LnwoKDQAbFC8fHsgJHzgLlkY8+iO/+j78X6e4uHvgb\n92Hu5NQBcQWBp778Ip76wnPX5YEcTk7CKr9na60UI3j09Sov8SDV3ero0AySpRVfQVZ7h2J/Vdx3\nwh0UbryDw0r3TnE79fGDsRHiOCv+lfZmlY6P8lQtKzLpwhTbC6XLK4Kc0efnze+cxQiQFW2Ff+uK\niIxyop8p3lfJPQ1HhvHwY/fjoQ+SaOaBaD8wJzoM8cQfPkXrnNYUyekShNNTMM7DOrk6X+BgAu/s\nGec7B9GxI0iuLlAha9AVbRdW+uqZ8PwEsoKx7ibuZ//uZ59V+J6V1b5IAK8YfOFiKU+Xh1B5Tt1C\naBdA/LiZ9wc4KLgrqgLUtc1TNzQKq7Cu8ntcQskw77kH4dIG0OnCjjne5suvIxgcRPfROwELPPrI\nrXjvsRGYSgX3f/AezB0dvzHP3jML9vmvvwbb7Qo/lfnjni0Z358+VBU9+u0xgpizFmZwwLMu7UdX\nCCfGM99gFpnMIX/67mmKrrHf9yAf9/E6fi2rymBwkBCP3CFMEmr2uL+bwABhKDSs/Mhbpu11n1nJ\nWN8vth7aC6YusR2jxODQHsxrZRtUjlPcsZgTHTQGcd/Dt2DulumDWedUPAeUNx/2sw4ARZrQDY28\nT7d7FvvZW7lLC5tmyud7aaPouJEpSONjSNc3M3rCbhtBtVKg5DFVKmDEWBwT6vUIzSWsEjrWttsw\nh2foZyvrBdV2wNFlWw3Y82wbSi4UjJzB1cUMgXoN3YKgXgfcvoQkKeVcA+U5Ft/r/fLwryuJ/k4Z\nzGcI6nXxKbXtDtLllSyQGxwUb0X2HDbVKgUtgRF4Ag/mqIoHmZrEDIfW/OJgoO4geyop0Z5xzaZA\nM9DrlU76YHAQptEo8hn7CRzlBvsm5xNdIBMeYXGBZHPT3zD5xSnh/QBuQbw67xnB206n4BkrHWpl\nFaBHWTIDOJhPc4jUtGtVL0hLNzcJNrKzKy8Ne0CbKPSM07kzvZfw0IHwU7/1tv3p9/5i6SJpKlUE\nw01KqB10lDuYOHkY6Quv+t7Gk5MwjQGky6tIt7YQHZ5DurLqJc08SjvK/G8jw5QILi4jnBwv8nTc\n5l/wmWw2SfDN8bd1wCoL2x4ceu/a9xAR8ZJc5rCrbnJ41ykkr5ymQ7tF71qbr/fdHFRNTyFdWfMD\nlCBEdGg6Q01EESFC2C5BJdbJ6po/9+dmaV6GAdLtXRLeqFYKnrjhxDhtGtu7MHfdgvSFV6kodGQW\nv/l/fvxAvCw/+f5fKV53WbGBi1vMYVK8Yq3Mb7tFaxLPEmp9Q56x5uaG42OSLKVr6/tKkPlcuUi5\n1/Dg4yWIg/2I1Wjev9jBhaHMO+0jGbZaWQFIIUC0qFReXMnz3dZ8SH7/AaTrmwURE4+6oMRcCvQL\n7XnJ92FgwFFwMghjND1VsOoJhhr49B/97IHw8D/x7v+yUFiJZqY9MZbwrlMwmztEp2LupttvPCE/\np33BwxiDYGYK6eIyAvZ/VfsGe2uXBe/20fthnnjB+5loTuQsT7RmABdx9zr2fofeV/X37/v3Hc8R\ncUw81nvukESZBxfwAH/uMIc8PXvB1zXgQLCPhgnzmCUhZz53u4NguEn3zwWq9vylvQP0nG3Ugeyt\nL16wn3jgv/CsctKNLQStodIgWXM1xW5urzi2z78X4qwyb3oXB5WJbjFNQzjVg4MZNN/NeU5Mk6Xl\nfSVY0jjQmj5lSVA+Ie8Tx+nBlqtc7O57LL72Y0cQX1CFpj5ipiHbGzk6YTQ1kc1bhwC7VgEAxiC8\n5bjnHy+fzfklH4j2w3VwooP77kCwuYverOP0/sXzmSDsIUoMk5VVyi+cS4pcP8OkAaHR7TfR1qKd\npSKuSuyv3+j7fc72k46/5jUf6H8Cokc5WDZ6MZKNjUI8Gh2agY0TKTKZagUIAnk3wskJxFeukt/9\nVYpP03Yb0fGjSC5e9pow/Yo78l2MNp2eAhj9m6SeIBoA8cDOx5La4q5Mf6JUZPDu25G8/PqBcaK/\nc0YYysMMwhDx22cRHT9K/GKeNMZIAo04Jm5bpyOQ5nB0FInymmYSuvA0bMbLQy+mjjF/f5qQh5qr\ndpfi7Y25psKt7cUwJYlrvwRaJ+ymWpEFR3iZyg9Xi3IkGxv+osWcmzShYoBSjgYABKHcBxvHwnsK\nmk2g10MwOYGUofTu99hbt3CNmpuo7MHSnR2YOEbQasrEjg7PkcgYcsGD2+z4BQsGB7PuUbebcb9z\nL3h464nSRfkdjdRSEuY2oKBel6pcODWR8THuuwPpi69J5TJaWEUK388SnQ7ixUUKqDY35bOmUoVp\nDiFwNmlCSegzrlVoyQvviQpnr0dwZXeP040tCXxl4dEFFhaQG2pIQmLjmJ7LenGOC59KvRMCU49j\nUqZst5G+cVYCF5uksO1iAs2JjFdYcCr8plqhamtJNzkcGyl0mpK1dUQnjyO5cFkW/fjqPC2uC0u0\nAZ48jNh53MrvcTCTu9+6QGFfeFXewwObc5VKhhZQQwJ4ThzanULgq+kk+S6pqAgrnQJR561UxYda\n7qsx1IVXicq+hwkA28t4f64q7IlRAd6GJ0gXFdT265gDfuIlnpAuyE6YT5okgHXrWKPRd21OZfOf\nJMtEdQ7JsqIucKHBrTl6bUPguPOu860LBFrt1LsGtYfId5iAfLXTxE/ItX+ou3d7CRRd12Av2nY7\no+kEAX3vwhLMu+6mj50+K/cWM5QMB6B55AXMI00Ew0PoHKXOQf31K4jPniff71zR1eMplyU0L5+B\ncQrT+cHrUDgxAXDB2HJBqYKwsbcLx7WG5uAF9ToVhgBJ1K81omNHkFye9wWaghDB8hr4bdLJTEE4\nBzkO+bhi0U2NI6hG4s0tn7n7dqSnz0jyzD6r3lxx73JymgSReh96EAMvXyJtj7tO0b+9+gbCZhNL\nP3Q3Rv/5E9nxp6ekc3VDwwkVmbtvQ+KuITp+tIB84n0l3W17IltIE5gH7yaOPH9WFwZXV6lg+9pb\nGcUsigrvIBendJEyWSxBVIHeOdEz4J9pbQk3JC4YHIRFecKqg3dxllH7alCrIQUkzhFkH4odubKE\nSbjUXODnRhF/f7XinROfT+qUo+X8c4lJ0GggaDUF8cFCnHZsGJBkZYKcc9z7YzsdEYf1znG45e2b\nOvnz1pNrFGOvZ+QLYOn3PIDgG88XPpe+9AZSmyKcp3c3BSiOArz7aLtFgT6kia5/7i+BFhqc24vY\nv1gNjtf2WtN4vyxrxARDQ5lWRz6BBkRTJq8B4IkuNpuEPGg0Mt/xHFKL98D47HkpIIZDDdIXGhig\n/Q1A0Goh3dgoCh9OTooeC4ur5ueOiJhpzYCSkWoNoJU1RLMz3twqK9Lvx3Fi3z7R31EjSWBcMMLC\nO0I4P+QkzLe3Ed56ghKUKJIHKGR6Ntt2NzxtdwpiEUgIXme7XU/JLmg2SSTgylXYXre0Wpp2OplY\nQK3m84bdCBoD3gNPVlbFekCPcHoK0bEjWdWm0chesMlJqcqIDzNfp0vk2ThdhrUZxHd724clDQ4S\nv3RkOOPGuo0h3dyEaTY9aEvQbPZVBIwOzXibCk/2tNujRXpnR4oXCELq+rCYDRvbAwJJ4U073dlB\ndOIYdbMVHJ4VKkVYYfkAWQZRSKJaTpQtbbflvsWXrwhsK30x6yoE99xBi8zgoDe3ko0NBPfcUVAh\ntL2uE61xgf/yqgiKcBCtFzrhmgdhMZFUXYmw1aLKm7OxMM0mwtHRzOecLRbyAZH7fc+fWf99bb00\nwOi7UXDCtrTsVOa7CIdbVDlkyOXoaNatgbOxqWU88nBy0n1vSj7s+S57vU7JrLJ6AAjqG46PieiF\n/r10YxPR0TlKRlwQF46OSoAStloIHrhLgiZJAFMrzyWamwV22xn06CBGHCMYGvJ/FoTybiZrJFTY\nD+USzUyTNkKlmr17m5ukJcDBQ5p4vy/BlJoLfN3p9i4VLyoltVf3eW8NNYaO54IvFqIxEYkXikUW\nCzJNjEtCTCJe/twqhbLXakjXN5Gub2aUhWrVEw0ytZrfeXH3RO6VW8P0SBYXCXKtfo8DJ+9zXKwc\nHyPEUqcja7hpNWFazUzVFZTscYCs94QywaJA2fvEV+clsRK45ego/bnt5MEkM4B3vXwP+T2KDk0D\noaE/+ppefYP+rK7S81TnkrzxNmy9huirzyL66rPUSZic9N9bFnxj1e3ceQBAeOdtQBgWEmhBNg23\nKBB3a2p+/wAg74GsC7mEJzpyGDAG0cy0vNdyDFeYpkSh7X1fdPxo6a2U9RUksOMlT9a6ADtFdGiG\nOjq9LolkxTHCO2+ja1b3Mmy1skBxeUX+2POXCwk0ANi3ziE4fji7hjfe9v7dRFE2f6enEE5PofKV\nZ7MCehDABgE1KLpdTHzpLdrLBgepkLCzu3cH+DoHI3lMrQbr9pbw7tvlO1nkLTx8SH4nGKB3yH7r\nFf9Y7Xb2zOp1mHYX0fSkHEsXP4J6nYo67v2ySSKdbt0pM7VahnBx3VWmWl3z2lhIMZ9AV6qFPSxZ\nXfWSRdboiKYn6RqcKjuQzYOyIcrdGxtenJkv0LDbBs8B0XBxjgY2pi6kbXdknWMRK46Bbc/FyGmC\n5JXTGZro+IxcExfYkvkF6drzn70aArzOZTftYNY6TvB4BN94ngTo8iMllW1+3gCAh+8tfCyamZZ5\nYipVoVvsNcI7b/PWCSDbb/m+JiVoQh3b8PwtXB/Habqx5GKadHOzIKxn4xjByWMITtLaySLG2k5P\nD0Ys2i41ZdgJA3BotbV1QgDxmrW4SH+WV2DbbXFKChoNEitLi93jZHERwfEjCI4fkeZV/lqF4rG1\nTYUiN6LDcyJ6B+TihzSB7XQR3nZS5rTco9FR+V3O4fYa/7/sRDdGG/jkLzwOay2e/tpreOrLLxL8\nt9NFcumqVLGSN8/QojBYR3LpSvFAutqdJpQkKsukgoJczu9XDsO8U+f/i26Putsra26SdWGRdYzD\nkWGCIQwMkIKnO5d+dlSemFMO8mB3dopCTc2mZ59h45jOfWvb89DWMCRZHFLiSWmrLA0XlwWbO4hd\npRjOVagjh5GurJIfnhM7C5yvc7K84l1b3o6M4dl2rVhNMvUsGI7PnCtaT2xswNQpoX/vj/9NPPz9\n9yLd2kZjpFE41vWORqOGn/5HHwEA4W3J97PVxOCg2I+YMIS55DblXgy7s0MQlvEmVczfzoLBsJUp\nU2uIGc+/ZGMDyCWwwlfmyp0xCMdGgSBEuuqgRc47j5EI0lFT88dEvv9xme+qiSKEkxNgZdS03QaL\nlJV1TLJOmpGig+11yS/dcUilyrzb9rqmNo7p/HlOOAQJAE8HoCx5TtttBKMjsHHWPZdn1Osh2dwU\n6zNR3a+QNZfJKZ/ze24qVSRb24gW1xDv7Pjd0DRBcmgCUaWC+MJFPPrDj+Lhx+4D8CE0hq8dWF1r\nNIYH8alP/zhsrydz7ua4OfR4+LH78PDf+i7Yjc0Dm3M/+zsfB4Cbc+7mKB0Pf/gBPPLhB4AgOPA5\n99SXXsCTX3juho95c/z1Gg8/dh8e+gDREg5sb/3Mx2Dj+OY6d3OUjoc/dDce+uCdsLttNEb6z7nv\nKE60MeZTAO4FcBrAewH8qrX2ifznTr962X7i7k8hPHULktNvZQG342ckG1s+5CXn1SskfefdzF1Z\nFiYTESGXmLHpfLK8QtywjU36XAl32YMjaF41f9b9TISjnKUTqpXMUignBgWUJzf54X1eJ6bahofv\n9T5FLliYJ5lfEKiy1+WcnoKpVkU0xdRrBD1JkoJwmz5PFo2wc9MeJywvoEVWXV1KzJdXYGanYbZ2\nMusPx380g4OUYDkPRV11+uy3fh2nHjh+IFxB5khca+ShpwLFV7B6rsKWCbVR1yTyoUwuOWceGwAR\nSjHVail3utSHmjvSeg704dPp7+auuOapa4N6+Y4yDtc+uUCac+9xK5XlUb6QA6iiQqNB4i/zCzT/\n8vPcURmC8TFguElojdffpCLP4ABMYxB2ZRUIqcKKJEEwPpahL4xBMEQ2IuKDrEXijhwGKhE+/X//\n1IHytq5HrEuPcHQ0gzaXwZz68QWdZgHgYFQ5tApDF7kT1G9d2svzHlCQsxy0zvNmBmi+lvGicw4F\nYmWlz1eJ/PGxxUYQVJxLlldoLXZdrn6QfFOpFsQa5bsB/+clP8s6WWTD53VVcu9kKUer1SKvzhz9\nJrjrNnzmf/97N+7Z63yi9XsWHT9KHOZW0/c3vesU7NmLiN9NsN/qpdVSXYyg0cigr07sxtsb3T5e\nNjQfst+6IpaDyPbJoDkEO06cP3v+MoKJMVgnJJe8eYa6vE7gRp9DVAIXv5ZIKX2I9h3AIR0aDfFy\n5X/nYjSQdSQ1Z9zcdgI4d8nrEPP372VfaKKI4o6dHfFw5QJn0GwiaBG6oSCk5rruqFW9a5Z30nVh\n0rV1cRhJ3/cu+syfP4eg0cBvPvNPcPvtNybaefqZt+wnP/DfUDyUE66LDs0gdjBaT5RSd+jZ0iw3\nGNFkt7dpPW93Mo7nxGihM1/2+1y03Q+fvlRQS/kqF9bCa3G588dX9Iqy96Ggy5OLQXQTiLm8jDrg\nWBiA12jJX5+26zPVauH7WNdE71ca9RPOzSBdXC7woa/nPhyIT/RzZ+0nHvy50n/TmgQYHCi1SQ3v\nvA3Jq29kfy+JsQv0wn1oHQkCJoo8PQ5+1tzVtUlC3GMWKdbfew3RLX2dACHqWGTQ458DGUpsfKzQ\nsOunU5L3Xud4TtaTvH4NH69SRXDyqE9bcdQ9wM3LyUkSEdZWgbmxX00pHnpNA4h6w+Kx/Ez34kR/\np8G5awA+aa39NQC/D+BXSj+1vUsecsur1I6fnUZ46haYqOLMv8cpyZ2cpGSkMUgwjVEnsNPtESzY\nTUATRQTDc5sgB1Sy4LkEGiAoDC9g+kGJJ1mXRCGkC8dCE/xZXiyYe+asfZKVDHpsKhEtQgraHQxl\n4iG8KOX/6y2Y4w7+YgySxRKRFgdN9CCUbvACCzhuhPNEta/Q5DZhSOfh1I2Z18A82ODILAVZE+P0\nkuWUaVGpZIHC2+c9KKW3KA8MZJzJ5RXYbhfJ2+fpGXAiGoa0mG9swLzrbkTHDlMCpnyr98tb23Mw\nNObl12VhMZWqiL3oEY4MyzkE95NyrsDCZjOYoI1jpN0egluO0/W6AMK8626CzLIfotuIoyOzBJtS\n844to5LVVaEa6CHcKmMIleG6u/L/gAdrlCC/4vO98tBuwC1q42N+Aq062+HoqDwHvdlroSsAHuTG\nOLgkAEmKAUW/YNhrve49Vw4AzEAd8aXLmXiO80LPPmjFb9HsdmTBDoYaBKW/ukAQaaeAm+7s+Mqc\nDpoc3nlb5vnulOcBIF1cOjBvcjoxJ+qXpLBJmilR558PALYh8/7NQRM5GS1AD3PBi/aOjC9dpsA7\nD6t2gVSg7No03I4hbQhI1Cuam83gkPW6dw42If9nL4F250/aD1VKwIyBTa3PBQVx37kYJV6qLhmV\n9dEFzsYYUsp3PucIAiAIsmAjDIGFZfpTMoJ6ndbDEsoNUt/LFQCCakUSK/lYu4O03ZEiLXF3rQTZ\n7NqAIBT9izwVxHY6PlQwTRBsbh+MZ6+1aH/0Ie9H8dnzsN0e+bgqCKZZ34I5MovKaxdQee0CkstX\nhQvnXbNbn5LVVXpnpqe8OcUJtIYoAm6uGpNRBY7MIjp+lIR+7ruDINCdDlCJMhhwHNP3LS0DCyvA\nwgrSzU3EZ84hefOMFEfi0UHZ1+QcjIFdzyCGzP9Ot7e9fZLESUNvL0aayDsqSCIVxJowpP3QQTTl\nexcXEQwRpzB96TWiW6yuwrznHvHDTrcJQRbNzSKamy3AP60TKWNUFKwFGObc7vR307AW8ZWrSC5e\nlmcaTk/BHJnFxt9+hPQd5hcckod+v/LcW6g8R88r3W3DtIsUh3cyuCCe5/fHV67KuwUAwXCLrl+9\nN3ytAtWGi2FGmsAI+XCnmyT4J/NQJdB87ZoCAPiILYZN8zqXn6umUvWVhvn9dOeotSlkfWQuaq1o\ne6nXSKbmMfw2dQG+7XS8tZZjp7wwI6+FWhw3vnLV4/OmOzsyDwGITaSGuhZ0K7p+IqQ50xoqzHPe\n9rqw65vFgpS1hXsvzYHcvcnHqu94JAmCB+4q/Scbx0Kf6RwdKzxrwOkETIwjvOsU8e3nFzwoeDg+\nVtCL0XGSpmbokW5u0R9drDEGthcjOjwHMz4KMz5KcZ+b03qNjI4d2RPiD2T3NhgdpT/1moiMCUWB\n42f37iWLi7QOKnizTTJ3CV6bAJoHGaydcivAFRfrtayQhWyu8r8nr78payvfM71mJouLSFfXEI4M\nE63NxRMa4m2PFfcgvueFe1GvI/i3LyL4ty9mRbetbVn7AFeUqJXEW258R8G5XfLM41YAr5R+sFZF\nfPYCorlDiNViGLZaJNLBfJY2CVAkVxcoyHYMf+G6OeERhCGCahU4NIVouEVm4EvLUllMVtXkZ5I/\nq+A61VdTrQA7xNHRLwsHr7o6Eo6PIVnJPIazZJ2q1WJppGxWRFggTZwQRFbN9myg3GCYrQnDvhso\ngMyuga9veopERbh7PzoKu7oG9u61cQwTBsTndmqMnlcusi5OsrRMi561VMXmxNcYJLzAJomof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YIIMQZRuZDPiyBfQS96/j3k1KSeS79hB/ilAIvUxGKISDlF0i0n7ls+XjBXJEvvSa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\nLzRHWaRMpW22XjGfHMR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Iq/QzACc450+KY+8C0Cc+v0h8xkAeq52/qOszOP9gZM5gtmFk\nzmC2YWTOYLZhZM5gtmFkbvbBRAje4D0GY6wcwNMAxjjnHxefrQLw1wCGxGH9AD7POd8lvr8PwBpQ\nPYPFOf8cY+wPxbEjABYDeBBAOYAvATgKoAzAcc7517R6hkMAqgE8xzn/3i/6Wg3ODxiZM5htGJkz\nmG0YmTOYbRiZM5htGJl7b2CMaAMDAwMDAwMDAwMDAwODc4SpiTYwMDAwMDAwMDAwMDAwOEcYI9rA\nwMDAwMDAwMDAwMDA4BxhjGgDAwMDAwMDAwMDAwMDg3OEMaINDAwMDAwMDAwMDAwMDM4Rxog2MDAw\nMDAwMDAwMDAwMDhHGCPawMDAwMDAwMDAwMDAwOAcYYxoAwMDAwMDAwMDAwMDA4NzhDGiDQwMDAwM\nDAwMDAwMDAzOEf8f3pcKePa4xoEAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_images(obs_dict, hdu_dict, filt_keys, wfe_drift, fov=fov, save_fig=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F444W_MASK335R_CIRCLYOT\n" + ] + } + ], + "source": [ + "# List of WFE drifts to check\n", + "wfe_list = [0,1,2,5,10][::-1]\n", + "nsig = 5\n", + "# Get contrasts for each WFE drift\n", + "F444W_key = [key for key in filt_keys if \"F444W\" in key]\n", + "contrast_F444W = do_contrast(wfe_list, F444W_key, nsig=nsig)" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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kCJpoH5eYLuatBKYo5Q4RCcV6ccUZa2J3IOdcbhzj9EXkB+BJY+0JpuAaAjLY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\nWBRt1WEaJr6gSciMoLWOta6yd7yzEP1IslCysDdJFg4M8Uw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9p1IqHyDRYdmZjNToBNEd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tIsDMwIAyjkIlZ1pVmo3k8RmQtVHuWUGZ6o8r0fjvK9x0f4zmPDPLh3jL1HSoyX6m0pT7EQ0d+V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\nIiIiMitVHkVERERERGRW/x+moGMX6unfPQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "curves = contrast_F444W[F444W_key[0]]\n", + "do_plot_contrast(obs, curves, wfe_list, nsig, age, save_fig=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## HD 32297" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "i=4\n", + "\n", + "name_sci, dist_sci, fov, age, spt_sci, kmag_sci = args_sources[i]\n", + "name_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "obs_dict = do_init(verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "# Optimize readout parameters\n", + "tacq = 3600\n", + "#do_opt(tacq, patterns='MEDIUM8', ng_min=10, ng_max=10, tacq_frac=0.1, well_levels=[2], even_nints=True)\n", + "for key in filt_keys:\n", + " obs = obs_dict[key]\n", + " obs.update_detectors(read_mode='MEDIUM8', ngroup=10, nint=16)\n", + " obs.nrc_ref.update_detectors(read_mode='MEDIUM8', ngroup=10, nint=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "wfe_drift = 5\n", + "hdu_dict = do_gen_hdus(obs_dict, wfe_drift)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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iIiIiIiIiDMPTuYvM7P3AacASd/96fNzalU2OhSPrubU5ck0tANy88DZuWXhb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L+CE+6lHPQEzPw2NDMzMg7dCwebrCBqnCEhGg2rq4FBVBU1I2Nukzj3vZ60jX8o4awMvHdAGyeG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VUV1IiloW1hvYxZSaz0FVoqWynBSZVstCM3/oNaLhYlWDZziVAN8nM6HOb/HxPOUBn1QW5tao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\nUYF9erJo9SXc9jbFNy9XLfIg9Y37beJnw2dVgLH0PKU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P7/b1Es7OqQl2aND+vkU+dHcR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sihwaS6a+6PqtVsn2S51DOg7gq++/q8gKPn8+FW34cGgTBM7Nq2tiDatFnqEpox85n7Gk5O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/8uZiTNkgcL+df+hEMefa15+JgHL2vgcfeOxRnPqh+zxHgO736Xf9oGt4IKroDH4uxR6i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7kbCJ+P2Wd2IpxlkWnTWFhhgw2dP1a/LNToRIfzVWvYaGnGzmRhldo3tZmUgjCapuIGgtrr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\ncwJflxLVMS8NezxcN6h2vWkzr9mjLLAeO64sXLb2VFXZC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8PU7VNVMH1dD8Ixe7cvjyIi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\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l9A7KPr3F/WEaH56j6z9mGXubDKwm7oli+AWxJ+S8TDephOYtEp0qHX8j3RWrt52rr48Q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\njMePYU7PiNf6/Vy4JkhFm5DCsy7bjifqkOcFMpi9uTHJr2B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bJwp7V54oFEznA4uv6HJF\nCKlIm9ahuV3CtsxAzISODUQmdx4PcnpaVIswU6AqbngBegbQq4pgn9FQCAQY/0gzOU8ae2lsjPUe\npqiQVFUiGmH1Nei7xP2Zu3ozi1kyqZ0iyfbsHyGYmyaaTMbPjd5UT84fu1BHx5j8gCisljMka69w\n5WTT+F/r2HyqEIA6WTz83S8615yckMBZW8atYgxse5ZtYmmGSWsC0cxZuKoJ7xNiIjt68yYyLz+K\nfNEE2oYK8QNb93HsSy0E0jUqNoh7p341k+nKOHy/NIS9igpAlgnmpjJfJNpDc0VyhB1gtHNLKS9h\n0XBDMP+sdvUel5M6e53BR376EOrcAmjqP+VvOn5fViba1EzExG9+Y7Y1wfZf2UjyG/1C0d/IU/xX\nNFqIBnsc+3ILBd8If07/lY24/BpT1aIhU3ppN0ufzUKXJIfFjlJVjpbgRosXzYPxjR5m6oL0XvQA\nABfkbgy/1kgaP/zMc9y7bn1EI928tr7fb+CcnArecUgo4p+MNTcwNK1vP3QMNRZ2PXOYttYu+j6i\nU3rt7ghBw6XLGlCWdeK3GBokRmG5fEkDC7miOE0cUh3FtV0BXY4zBJDSfULTw/Y5zXzF1DdI7Pc7\nGmTW+yUloeu6JVIGoKV6kSdmrT3T0oGxDUVcebmoOWmCRwzI3sTIabhx1speL5SIYlh3x0QU+sez\na12tR+JA4hgNdsnlEnxvsLQmZI/HKhSCzWtRXt4pipw0w+3ByDEtXnB3n+CsrwRRB0QzRw+uhJvw\n9muqriCQK5pVckAlZm8P6tyc9V7SUoBjVxdHIPrmr24i6cld6IEATRfXU3Pn20k+sMCGhpL/E060\nPY+zx9KlDSQMLlrNiI4bEqj8xA4ktxu1VjSRY3pGHN9lNMFU699WadqYiAHrz9Fy860HxJDAmK7K\nB3qQYlxOQdb8PEL5PpSDfQAOgddov9+i3+Vmga47fqcdFQbibFXSfWj+RevMV1KSraa52VQ0G93m\nelm4qon48RVRABsK3lJIQ1oJRQwMleoKdHcMUr9YT8GaokiOd0ICC29bbzXoAabe3yyQgTbEwmot\nJyUjg8D6Qtx7jM+o6Qy9p5qcl6asnMWuTaVUV9B41hoaNuZCZhob1+acVE7085Ik3QiYKjDvAW76\nD94nIiRJ+hGwCCwAtcBtuq5HyIT6Zxf5ySXfRIqJpf+Lmyi0PXzHLoDKj+5xQJHNTSX/2wOWiJir\nqADdv4i0ttTaKOO/OcLiV4WlTubLgyxWZeIZ0RwJlzVhkxVHAR24cDMJnROwthIkKVxAA/NFCeS/\nOG+9zv3sNkJlOcyeX0b6C72wuMTcu5uEaFRWJuMXlZH2qzbU0+twP71NqGFPLzo+k/mgqQc7hPWQ\n3y8eKCOpMVWW7YeJVUCn+5wPTLoPaWxO8FyzMtEmpwiuzUdpn0P2JkZV6F7MkEkEYicXrUmNq6iA\nlAOzYS6vkUyqI6Mk/VZs+GajQj3YQebhbkKaiv/cPOI3ryfgi8M9vmjZXagTk8RMpoGUyPQNgvP+\nxicCzLzTTfyURtFTU0iFuaQdCbJ4eSNJ24UPq7K2kmcyYmk3OC/31N0FaScGA1qYX+HHN9/n+LvL\nn/84lWwl855WqxGS+7Md+C8KJyfmpqyOj1vfvaV40WsAACAASURBVL82F/fAoHXg5N0V/vmsxw44\nvuekV7oEDNtAFPRfoVP5/jbr/ib0HxPKo7VVKPPLJD0muNSFR9zWRL789j7r/UwvZowJr+ulHRZ9\nwZw0mr7h2uKiMwExmk7ZPzLUxQ91oqSmoq+sILXtoefhU6h4X5v1/UshDTSd7P/tgMoymJ2HV3aS\nSth2SPP7hVhe/xihXQeEZUxOtrOIbliPpovkMW4yyEy5GzVWIrmyDC2kWdfnys6y4MTjLSGW01uQ\nNGEnBKDGSVR+YIewAOvoRqqvsZLTaAX00KdbWMzTKH9C2Dn03NlM0VfaqHiveLa+0buVL5Q0UHmj\nuJcv9w7T/tALaIuL3HPKd6DeF30x/YthcgXfirfieLHl7/t545EXgJPHw39rzb0VbxYvDXfSc/Pj\nwMlZcwv+AN954O8sp0ikHTpxBM9b8f9ftP91B4+1xFJxTz8/eeLWE36/tzjRb8U/iy2vHKb153+B\npg3cc/e1x33df1JE3wgEgBnjz+vf5LX/bvh1Xf8SgCRJnwW+CHw82gvrd2nsqFuxxJjMqPzoVpSq\nco5+203B1zVCXjex/ROgaRy5vZCyO9pQsjKtAm+5qQyXMY0LnDmCgqjZQ31HiTXgqOn5eYQQ3djR\nBpnSzx5Fql3DWFMSGfe1o55Vh/vZbY7ix4QiS3U1pDx/CMnrFdxhoxsute4hpRVCkoTeUousGgqk\nqkb67/cKr+XdXUysmnabYRbBcm01c2VJLCfLpP9hL7OlHlI6Ux1+gatVKNWJScfkWZ2cAkOsanFT\nEe5nJ5Ff24uSl4O+EO7mmDYHKxdsEtPVmirB3UlJRoqLY+DyAvIeCkMRF97VSNxkCNdLO1CqK5Bm\n5lGXQxaPRo5zI+XnkLFlGm3/YeJscHa9uZa50nh0RSLl0a1k9GSxuD4P5ZWd+F4Rhf9SfQkJB0fw\nZ6WT+nAbmtcr1FBf3kl6vwfN+M5ORsSOLND500YqPr6Fqb9WknZxB2vunUMDOn6xmZS9MWTe04ce\nCIR9O20dxY4HN5H1ioInP4/pdBduBFzJ9CPXEuLQW2pRDR7zyts2k9AxbiEU9B0HUGqqqHz/dqvg\nVtZWoia6mS8SXD7H+gsEkOpq6H53EuXf2I//nGq8u4eFH+TaSgf6wbSVMOX+tfl5pt/XTMJYyJre\nWKrpkoR6Vh2xu3sZtnduZYWSh0Wjbu7aJlKfPcLIGT4yf7kDqabc4nLbJwvmJGim0oNvOhGtUhTz\nDlhNSjLqVgE5TNwdixTnJrB5PXl/n0Xt6BZ2L5IQrOv5UBmFd4p1XvwnnfE6rKkdQM6jBzj0QD2V\nH9xu3VMzTGEys/N67IstlDzcT2hgkIHPt1B0z36KvtLhgE9d9+tPULJhmqnaVFJ+3Yb72TB3NRo8\n7d+OYOSUbPhUifJPtjJxc7M1gZY2rUOZWiDzXkEvgDA8uOxvYc/SjN+Modk+9/xVTSQagxZXieAL\n+6szCSQrjDalUHmHaD6aEzX7RMi01LG60uUlqPsPO0ThzAj19lswwMT2PvB6GD1XqIVmz2Wh9fY7\nmnrq9LQFTdNXxO+Wjw6H4eVDolOdtFVCS0iIgD3aQzrYg7S4yNy7m5CML8f7+wF8bSOO5yXQvMaC\ndVmfp6uXmfc043vKsChJTSY0Pw+rplPZL42zvNbwkn5xhzVNMqdc8qjobtvXW9Jj7dgdT0OAa24B\nlbAvaubPWq1rlM3/MJbV/DVNpG4NPyf9Xw9DbU8k1JIw90s/1VD1fWM3n/V18hLh5mDeXcI+TRmc\ntNaXafkYckuMbBYep9nUkTC0bK2hzJ+10lHTAHfnUPkhsbfMPVtG0ZV7uHn3Hj732/eK9zoTMvaE\nrGkJGOuoJJ1QnNhn8r/dKhqASyGWcsXvS3xd9Pan39dMwoS4sqBHIfEP7dYUcuK0bFK7egmcu5Gl\ndJECpRxZEN/ZjgMWL1fKz2X24mrSnu1AXza8agty0YZGkA0uX2hwyJrsrFwgkE/uqQD66Bg0bUBe\nEJ87tP8w7iKfRU9YTpXxZqYiLXksGkPyjmEO3ttA5UfDz1n/11vwDAnnAveM+Nxmgz7nOfHnb97a\nyqenrieYk+TwBfZXpjFwtkz5J0VjMbMV3rV3yZpAa2fWMXJbgNzLDzJ2lphM3nvtFeiBSGiq928H\n6f5WMyVXR+evnkhIuk7iH9pJJDwB8/5DoCvin9pqUUbQdbxbjqLNzUfQ2yRVJ+tlY2oWUtFt+7Q0\nZZsGVhYDEIpiSWfmhCYaQCkqQDdyFWsyNz4J+dnonX1hOkjfUeh36tJofj+u+SX0zeH0eCXORWzX\nMCHbtZsoHfNZk94Qui9S/wjq3vCETMoOe9SGRkYjptDWoCct2dIwkPxLDksrbfdBqymue4UVk5oc\nD31HnVM7YwATGhklUC+sxNyGcYdjn16FWFN8acQ9vwvZNll15WQTOtSJViiejcEzEih6fY65a5tI\nHAyjAFK6QxGoykCKRKi5xoLpln5lG6HjqJn/J6E314Is0fk+geioun8OnUh0ZyBZIWFARz4m1lfF\nLWPoCKj0TIW4jzF5xax4S8l4TeQf6iqOrhmrc3HZ40GPiwn/OSEBKRB0/lD7XoEUmZlHGhbfpbmG\nXEUFEDD2mIFBGBgEX5hhq0WhZqoTk8IuzaTURLlWfcHvWBNyQkIY4m88j7rbZa1RaTisP6Ee7LDW\ns10jZTlD7L8JL+438shTLOcHU/jWHnLrXIS2kZyW6phCK+k+cc9lycphQr39yGmp1vUvXdYgfM5f\nGqf/8+KcTN8XIuvuVscza06hFy9vxPu6uCdKZRmjG95ca+Q/KaIndF1/r/kHSZLq/oP3iBpmAW2E\njJhIR40ddWGxCVMN24JCaRoF7+lD8/sZ/lwLea8LPlnZHUMMfaYFz5BG8qPGhqvrUX3YXKXFqMeG\nGL+xnpUUidzvDuJ5fAuVu4pR3W6CqXGCKy0rjG+II2dhfVjmPTuL5QQXLoRQkwowM4tSXiL8/9LT\nxBdtQA6kN3aTZAhEgSguJJeL2YtqrAJacrnQNtfgmvKDIlsPuTy3iPdQCE9XP6wtw/u7dvTaatQ9\nh8LJnC8FVsGGZssTSJuvgpWg9cAvnbHGCcWRJVY2lqC8LB5cU+08ZiEkivDpRaRN61C370c9u4y8\nhw44/FntIi2W3ZIsEzKSXm1xETq6kTavZ/KmZvx5EoV7jYN0ZpHk3+wBSSLw9k3IAwsoy+GHSZ2Y\nJPb5SQ7/uo7YbgnFnOQbB0DHLypZ8/lxdBnrwDjR8OSL7+e+mkf5Ag30fimGoqug8mZhY6ATLkTt\nsOzOnzVS/QMhShYCUh8epPcuwa3O+HmbgOHsP0xMSZGVkMYfm4uA+KsHjiDV1RAyOJMWxCpHwGxX\nQ7z0XQco3SUO9/intrJ8bj2u/mOoBztQykusQtrkZnqPhQ8oOxTaVVIE04Gwd+XLO1ERU3ZXcaHw\nC0zyCqEnhMXL1PVN5PylH9LTCO0+aHn7moWY3lKLa3iGUG8/yZ2LqEe6iJnKQF9FsbALOsjJXqSY\nGHK/24qSk42ekkxinx8tVkECi1cJEDMXJO+u7Zb4YPcPmij7VDtrfuoXDSrjs5tCKytVuQ6PyqIf\n7CS0vMzUjc3kfztczExftJbkP+1i5fR1eAZB23uYlL0CYaIENFwv7aDvm82ovhMXeSJeHDp27mzl\nr2bQgBVvOF3uvC6R0sddyLaz0E5N6b1LFNYln2tzNE8S/9BueRybcOuE+QXcE5MkPRYWFNNOr0PZ\netAJfczP4+g1hRQ84BTwShw4jmWLcViqAKOQbrzefPXi5Y149xswXF1nscxH7OBQ2A/WuD4Hv0uR\nobwQxVD0tSvSW2JjQyOMfayFzJ+1WtYcIZzJIEDcrl60uhq0BJHQqK17UGqq8P01zFGUlpZx5eeh\nzc4hJYiiTR0dQz3SRajSeAaN63fQMozEL3DRZhK291s/5yrIp/9a8fnyvtMawbsykzntzDpSHxLv\nZeJpvL9rd/A8U49ocGGUG/9vhjyi0PXrOnwvxJF+g3GtZzuhvyCak4sZMoFUifxvG3SBlhQy9kDK\nr9tI2yCE17S9hy0OLkDnQ/VU3iD2AFOvovhCgV75eUU5pRVGY2BqhpnzKq1ESPP76fluM/WnHkH6\nUjEguO2LcQqxr+4i3nj/+Xc24n1ZE/uXyY2/cBOunGyCpaJxk/6XI+heL3Gv7se9XkDK50sTiZlX\n0S5rwLtN5Auzm3JIfrQdFSy7t+yXxpA8CWDwWuV1a1ATYmBiUvimA3JZEaSmwsS8E0776i5LYCkR\nLHEqk54wX5vN2jv7Hd9ryeNTIElkrYTCooGn1xGzr8eCcn6yuJnA29McuhIAiXuH0c/PpeM+sTbX\n3jXCqxvCXN6pqjhyLzd0UQwfcn3bvqgUMTk9Dd++/xs71BWvJM78lSAdd4jiufxLO1EK8hm8vJCs\nuyNRQv13iu+j6CviuXA/sw3NoEEoaakiqTa4wX0/SSH/CrGuovm5W2JKq3Kk5bJM3MemkReXLP4y\nmirQf/l5YXs/43u0U/60M+ugewxMsa5dB5DBQvuB2AO0XrG+5YBh21dcSGiHE40mJXkj7KzA6QGd\n/kIvekqyKF4NH2r1jFrkgIriF58vmJYAr+xE2rQOuo084VD4us11GBoaRj2rDuXlnciBcJnhoOs0\nrGc5K574Z3damifq5BSyx+MorjtuK6H0syMWHa/oefH3X7rzIe4uN/aI0zaS8PROVFuBPPV+sX8q\n1RWQIiDlQ9dUkPPQvrDl0QmEatjJKVmZVH5I5KNLlzTgSUlGS4i17iGaSvqL/egJcWFoc0ws/ovr\nSHhii5UnyV4vodoyJFvjW9q8HnlhOdJqtKrc0rigvFB4jBvCXKFTygkmunAbGjRmaCke9M4eK4+y\nhF5t9CPFlybOpiTxXkp6WtRGhzo55dCkkOpqkANBGAsjTvXFJSeNLzbG2hfM95RiYoWI2cCIo5Et\nbV6PtGg4z5jIXUki/lmRA2ihEEq6D+WVneFnwfTStgnfuTLT0ZO9aF6RB+nb9xMaGGThqiaS/254\nmrvdhIz6Ra8S57vU289Mcz6Jxj30/G0/GoLWUfSA+Lm5M8ut65WNs2rkjDQyf9aKFiOFKUHj42T0\nD8AHL+V48Z9woj8F7CQM575B1/U7/42ffx7IivJPX9F1/c/Ga1KAJ4ArdF2PMFAeHZzWJ1cCuOaD\nsBLmHT37+y089/iOCP8x7cw6Ykbm8VemWfDmkU+0kPuLnfjftoGZUhc5PxSQWv+aDOswMnmTI7e3\nWJBQx2cxNm09ELCgrvYkz5zeBS7cTPywH233QYtjOXFzM1m/P4iUnISamXJ8cQvbNNNuDG7vMJpJ\ndoTvoalqHRcHlcVIiwGCOSnIr+2i565mSj8Xvats8qkh7Bf3r4Q9QTevaer9zZbIDIjiqfM9bio/\nstWCMzsmtr/YTOXN4v7b/VCtj2QcHHbhqsmbmpk5a5mPv5rBhZ+6BDmowvKKsPeSZZJ9iWQVnZhP\ntB4a1Dt3h6FmK9mJxI4s8PQDL/BQ7CI5v96PtrTM/GV1pLQNROUrSW63mKwZvE49EEBK9BDqO+pQ\nkjfDwdts2sBSdhyL6YpDyAzEGum7Jsfhb2jdr9VF6ep/X7cGPc4loP5NG5C2H0QPhVi6tIHE9j7R\nhbdBukPn1BPzjz1iM1eUVQqlPrTZ+X/KGzQ5QNOGEvTCuxpJfqlTCJIZ66bzZ41UPLJo8S27ftxE\n+W3tKDVVSFOzQtW0opRgpjeCN7N0aQMx8yru0QXhlR6FFwRCPdre1YSwqrmpMg/ieZhYH0fW3a0o\nqal0fWYNJZ8X38Eln76Ct71LcGaXixOI6xP32lPtI8+TckJrbrR/XJ8dnwNPPPiXrL9/rLeX16/+\nhaWAnParNiHu4YlHqxBF2VRNIumtY6gd3RH+lmbHduK0XCHeZXMGiDZJNieMox8XXVwL+i4rzFwn\nEnRTBMy+hqPpOETzgdeba9HiFGvPAYFA0PxL1lqav7qJ5EMzaHsPh0U/OnsInVuPbCSqwQQX8a8f\nRnLHWoe/fU2FzjU8iF/cgXr2KUgh8Rp7QWIV7avOkNVhduNDPg/K7k4mrhaF4vGUZs3ofEhcQ8UN\nO1itNWA2Vc3EYvKCMkspvvcx8f4l1+6l5Y8f4rrCkvCbuhRWMuLJCMknvM9Zay4mJlzUaxq/Wu5i\nxxkPhn+lkcQ9P7SbspduBGDNp4cJDY84POrNWLdDNL3b79qMGiuhvnuK2EfExCTxD+3WujPvz49P\nfYyv/eB95DwtksShSwvJ/JlhAWhMOdb85ADdl2VG7LWef2Qwck8Z7llDaPCVfVGf//lrmvD+wfA8\nLxRFkTm1MEPJyEArzkaLFUm19Mbuf/lMnL+mieTDogGj7T7IwOdbnJosxvc98gnxXKV2BIl7aS+s\nK7dQC3JtNdLRESbescZK2Cc/0EzWi4PWGtVbatFlieFTE8j7rrH+dB3Z42Hx7BqH3sjqmL2+ieRH\n23l+SDynF+RutNwX5q4V3PCk37bz9pvO46KbzmO5wGgOShB31E9yRtLJW3P28MTz9JM7uX+hk+yt\nonnnenGHVYgMflbcs/y/zTqE+Oxh52mCsbe3GygSTQ0Ll9pDkuj+vkALlP92HmVo0oGMkjeswV+a\n5FgjZihV5UiG6rDuX4TYGCbfLpSSzefYoQFi4+Rb+07/MZBkx/TNLCxMr9/Q8IiYWCbEO7m1q7i2\nyApS/drwcCcvl5WSTCY2JFiUuWhaP+aasyuCOxwGCDurHC/sftzRQklKYvBGQ6H6J63IcXHMXL6R\ntH+INd39oWI+MpDARTedZ/2MmXMllmaQm5Z0UtacluJBnhHfh56YwDM/+jPPPPCC9Tq9pZZj53so\n/Fqr5bdtzzdMpKPn8S1Wwx5EXhXMSBCNCKNAXjyzmsRdAxDjijxfjKJdql0TXs+mIJyiWOtEsim2\n2zm8ELbktIrczetRJuYcDRjzLDT58VasOovsGjRg8On3HHK8RjttIzEH+iPWhvl7wBDrMuoQs5lq\nWeTaPre53u2DIGVtJXr/IPqaYvGZjT1x9bDIrIvsazXaGQTh5rqF8LS52ABc9OEL+K/PXULMrIEG\nCK4QTPeQrh//bP1PiuhhwN7OK9R1vezfepM3f/9k4F7gS7qu90Z7Tcf2bv1t/3iSxKMySxk6yd3g\ne3w/wzeuJ33vMsorO60iS9q8nqHTvfjzNcr+uGRtmpLLxbm7p3lhndcSVzJ5yavDLIzNTc9+0Moe\nD8unVVuJoVJewlKZz/qzq6SIQLHPShBNSLQJVzQLitnrmvC91BehGGi+bua9zaQenCfgiyP2+e1h\nhVkMAZFEt7XITMEHdF3AdytKkYKhqMWaXeBMqa5gbm1a2K7F5UJXVZSUFNTpaabe34yuQNbfBiCk\nok1ORU1OzPtgJu12NemJm5vJfHQvmt9P8Lx63G2HBfTJJj5kfm7/xjw0l2RNL5WsTFaq83EfHmTq\nnBLS3hh0dOLMosi8xx2/2Ezxn3Qe+MaVVG4qO6FNt2N7t35Lw+ccxTuICUX2i6OODcf8/fLGtcyu\nSSKp289MlYeQWxKqhDY4tt4/iGZTljabLGZop9fhz3Xj/X14XVoFnrHxdT5yChXv3WlZiUWLvm80\n4+1DCPVIElJ9DcrwFHqSBykQJJTuZSUtzkIbmAUuhMVK7MrB5gau+NJYbCjDn+Mi9fAiUusepJhY\nFi6tI/n1PoKl2chLoYhER3K5oK4afdu+CPVpCIug2O0/kCS0U2uRV1SUqQXUrl4W39lIYs88/qJE\n4p/aGvanPk4sXdrAYqZC5u8PoM7NWUJ4w59qcegYmInk6sPEjGNfbuGu9z7EHTuupOyGDnRVQw+u\n0HlPIxW3bOGerXedlDWXknM61xWcasG0fQ+2ven3bIaSmsrURVUkPxpeN1GFlCSJ7u82UfFVsS/a\nGy7q2YYS68s7ozZ5hu5oIff7zusw9ytH2MSn9FM3ouztxn+uSLLin9rGxE1NyMFwAWpC5pXqCqs7\nbk8Wjve7lPISFmoyrHUAMHiGm6Kvtjr2OTC6z0aSou05JDxqF5aQlgxLkMEh0ZQ0fMxBnAOyLzVq\ngT3zHvH9pPxafD/oWEJ+pp7Bvxuu4kK0lERGTkuxCsiZ9zbjnlUd0HrZ46HvoVIeP+eDrEvNPSn7\n3OokuePBTZT8TndA3iEsxrQ6TOsSdXKKo39cT+G7wkXnyCdaROJsTAB6rkql7EdHxH5iNHwu+8sW\nHq/ORDLgsPq2fdC0gb5LPBR/0Vgnxt4QPH8TcXvEd6LlZjBfnkjSM/tZOlMUUZNrY1ioCFJ1n1jb\n5l7kKinCv1Y0LNxPb0Netwb6Bx1ieYELNxM7s8L0GjEBynhc7Buri4vFdzaStEuc3frCIur4uGhE\ndoh/l2bmI8/2nGzmGwrRFYMGU6SQ/+QgS2XpaG7RdFCWNVE8FuQz8E5RaK0W0Rx5sprsyw5xzj4/\nr1wvYLPankMMPF5D/hXhdZfVlsTrRypEA8eIxXc2kvqJfgJnimub+FAzCeOa4wxS0n0c+XEh5dfv\nwveG+Nxd968h7eACdz/6IdZUZJ/wmrv1uvuPC4GNGoZIkXKwz+GCAeHzauwWUWiblCOpvoaZalHQ\npD0vVL/t+8LU+5vJeLobDMSN1VgrLab3WjGlLXxuDmVqwUIxgaC7KCnJSF6vlZOtDvWsU5BCWkTD\n16Rzmc8LkiQK4dUNNhvVTfZ4UDeUI6+EYK8oFNSWGlS3Yjk1AALZqOthOPzEFGT60Dxuh2Da6v1J\nP3Ujrpkl1ANHHGeAvUh35eWCJEUdFoAhUgpRCxnrnhjvHbPlMHKGL2IfGf14S1StkpNxth7qHtFv\nrRBMUXvBH60GMJtmUzeGVfNTO5YcDeKI88XjQSrMRT3U6Si+Z69rIvm3W6zv1lyrluhlXhryvm5x\nP0ykg60glDaJxoO+85BFh7Ts0U6vw7W7C8mgrajj47hysvGfUmAhTK0cwAaTttcSjiJ9FSJFSfdB\narLzOV0Ft159H+zv7binhsixYqAM1JlZ616YlJfYOZWEA8PMbxKIEk/v/HGbMoBjnUfLFyDsvCCp\nQi8q8PbN1r/ZkTzmNXif2IGckszdr36FyuroZ2sUA75/Gp/Xdf1s83/Azf/Be0QNSZLSgXuAz+i6\n3itJ0hXHe23ZHe1k3d3KSlaIUJyw+sm6u5XY/f1MfqA53KXdto9A4wJZW8HVKWxNli9uQA+F+N3d\n5wMQ2y6mLN5+Me0x7Qys68pKZ+xjLeihEIGLNhP/5FZL4Vbz+3G/JLjFs9c3oXb14p4MF5ZqelJ4\nwtKwnvh+QSVfqhYqvuqRLpSKUpJ/046eKjY/7cw66/1Dg0PIG9bgGQmiTMxZxXno2IDVvVSPdAnO\nbHWFWPgpCYT6jhLqP4Z22kYxsTHuh2cgfG2uogLUIicowPP4FoLni4NYD4XQTq21IGeekRDeo0FC\n/ceENdfyMt3fb7J+Vj91I8uXiEU6cl42nQ/Vo6yttApoubaarD8ctjpLKykuUUDn5xHq7bcmMADB\nIuG3axXQlWWwEkR5ZSehkVGSftsesemONIjlHPvcNoLnb6Ly5m3EPr+d0EmA1uqJIomarxUdNlMt\nN+O+NvRBmwff2acQN+Jn5j3NaLsP4v1dO11XJZL8aLulNBvq6WPlbZsJZhiTJ8MHT3K7SXhiC1JM\nLMHz6hn8bAvya7scBbR22kZSdoyhVJaxfJHYACreuxNXUQHZ7QssXNXkuD4zip5bIvMpY0PUdfTt\n+9FXgkjTc+j+RULeWGKf22bZHqQ+1MbsdU1i6pciEo+F0sTwGxpTKnVyipjFEGm/amP4VHGf9eAK\n3meFT6bUugd5Ycnq2CrpPpSKUsG337bPgEFH2gf4ixIFPKmnP6wiGRtLbN84kg4r+anIXq+YJGua\nWCeSZBXQenMtssdjHeaugny00+tI7JzB90AbHV8VCXbSb9txlRaT84NWx4aa9sGjLFzVhNrZYyUl\nXT9qYvTjLcgb11LwjVbuqaik5Jq9dHx7I3J5EUp5CRW3bHGsl7firXgr3oq34q14K96Kt+L/v/i3\nJ9H/lyFJ0k4ErcxsI8zrun7J6td17OzRL/vfp1j26RS8GCL2uW10/rSRlvojtLeuofL+cbSk+Ah7\nAvskZvzDzWgxUtROV7QOmN1qaPXUlKYNzBcnOHx17b9LychgZV2BsA0wp5BJScxcuJaUFzsZeF8V\neT/f7ZgCmd2v1fZXsseDnJlu/f6Z9zTjax+N2sVVsjKRXC5mTi0k8Q/tjil4x61FVP7sGLo7Jszb\nkhXUMwU0THXLeA6Hha1oWI8W73LwRsGAKAcClmgLVSWObpEJBXaVFqPHuND6jqEHAvR+u9mCxJqh\nN9cSSHeTuP0onR8vIX2vTihOIu2xnZZNzOBnW4ib1PE92Mbs9U2k/mkvHb+oIveJWDxP70YPBCyY\nlvn/P5y4m/VpJ2aJsHdyWH/HH35D8iFF8CsL8pltyEOXYcknk3FfG8Hz6p3iROk+wWfq6WP4ky0R\nFg4g1lXsnErMC7s49vlGCr7VJrqNRqFrhh3CYk6Jze6l7k1goTKFlUSZtPZR6/s0J7x2Tq3Z7VNS\nUwnUlTr0AExo18gnWsh7ephAYVqEXoCythLN4+bYf3nJ/9aqKWRONsiyaPzUVlv2RZLLhdZQg+Z2\nQnbNMKfOwfPqidvaGba/mJlj6oIKkn/j7AybE0hz7Tk+V00VjE2J//alQVY6400+JA18u2astdn3\njWYKX1hGfnUXekstw6d6yP1eK0p5CYfuyKDyw1utZ77jvgYy2hVrMv+vxMmaRN/SIEwpTUiYfUpm\nNvuiqeebUwOL7wQwNok6MSkaUhCe8EeJwEWbiR8Q0ETznplWTyZaAbAaD54DI8LqIgp0XnK7kcuL\nAQilxCO9sdua3CpB3do3TZiusqsDOTsTfvzvbwAAIABJREFUfWqavltEM7Hw+ztYvLAWT9+CBUOT\n160Bl4y0IJqfaldvGMlhTKr6LvZQ/KU24Wu+o09cUIoXad7PwiYBazfhrnZ7mGiT92hddam+htkq\nr2XrB1hUh9XenKuRAOMfaSb7d2K6pE5PW53/Cw+IRuuzNSmsjo7/qUeejaH8tvaINfGDkZ+yIfPE\np4K3NHyO7/Ru4bMlovFVvcPF839poPi7zjNKSfcxfFWVBQ0FCJ5XT+/VMpU3Ofm55jpxP7ON0Vtb\n8O0PcOeDwmrpG5UNyF4vwQ3FuKbFd6ntPUzHg5ssEcDVMGsQDUXXzDKaIWgHMLkpREari9SH26z1\nOlfkIvuv/fT/VExR894ZHRVgt2c0Q3K5kNaW03+pmBTmv7TopChIEpKiEDh3I31Xib9a+82JCD0L\nc1JpCnWqFfkWOmP4k2Jiqp46a02OtdOF1MzR8+Mou7vLYds19tQaZo8mU/1Dsacv3g/xH1XEZDBD\nrAnHlMxoJPZdmUHx/V3WpKjj3gbih11k7gxakypT7Me0mQTo+mETt5z/N55fl+TYcwIXbubBr19x\nwvvckSPD+seqb2XyA81ktgqBouk6H+5pFVnVie8Unz3U2y/OpocPCL9YYOiqcrLb5x3w+uPRd+av\nbiLlRWMyKsmQmkTvtVkU/69IN+erkvFnK2TeK/b56fc2kfpwW8Rzb6Kw7J7J2ul1yK/tsvjVuqoh\nuWMJFommtOtAL2Smo/X0O/YAV0E+wXwfyn6Rv0Xz811tHSh7vWj+RdDUiL08gtK3aqLtys9jpSST\n2EGBkFAHhyPszN4szHUpv7YLV2kxk83ZjvO5/85mgom6JWa3OuzCnOZUMP7JrVbObVIbsn/SKhxv\n2rtYrhf0nYW8WFIfbjvpZ+ubhT3vMvfb+QvWhmsBAx6sHh1AD4VYvNyYYL7SgVaci3xsRGgoYEL1\nJdQz61hJcVmfXUn3IRk+y7p/CVKTkJYCaD7RvJd6BlDn5tDOrCO2x3gWjg2EfcFNrY8oiCAQ55qp\ny6EtLqIHAg6B19UWW2bY8yswBlmT09aUNxqCEFkBXbMoV4xPhWmnNotJIMJW11VUwOA7CnDPiPXq\n2zrO7AYfKTtGjXuziDo2TujsU6y8VDuzDjmgOt4HnFQ9Jd2Hnp2B7lZQ44XmScyk35rum4KQq2lm\nIPZmz7DGr79wDZU1eScG55YkSdJ1XZckqXDVP31Y1/Uv/EtvcpJiYHha3/NXcRPb/7KdRy6R8R6J\nsYqUaAVLy54V2uoTkFOSHUmnCf9UykvoviHbmppGeLWtCvPn7PAP+wZhhrnQLS6MAX8wucJR4Y/g\n2PwiinbEw00oZG2Y0Xha8oY1jJyWRs5jh8RClhW6v7eZqu/bYOPG77FDde1hQuZMyM/kB5vJerbf\numZXaTH6xJTjc0t1NaBIKJPzaGMTQjzNuL7Jm5rx7fMLk3YD0hHNX3b5kgZmS1xRRUUc8WI+HR25\nVDwSQGrbI8R7OqdoWJ/F+jvOo6h8mDx/PXmFJ+jZa/MVbOuZYttP/sLymeu48SdP8ps1+Y7XWqJV\nLhcz12wi+dF2lHQf45dUkvY/bQ4IpOR281zvFs69/gNMbHCzkhQWyLJDqt8stDPrmK6II5goWTBf\npaYKRidYbCjF/cw2C/ZsFiCu4kKWyjOIeWGHEPmaWIAYlxAvMxs4+Xn0X19E9pZllJd3OtZI3zea\nWckLUvXTJeTlFWF3VVOF3t0fNYGZ/GAzqZ3LjiaMku5j/gwBwbFzk5cvbggXNjZIkbmpOzbvhvX4\nCxLCFARjTU3c3IykQeYfD1qwPP8VjSS90snK+mI0l8RKssvhy+oqKuDh13/HdQWnhq/RKKzM4kxZ\nWyk2X12PgHo33/ZOqm+sIXnnNLUtlSfFy3LXoRGWMl3s/dbTtP/1+DB1M+R1AiKrH+lBKcil97pc\nMneIIjpueBFlet5Cpcgb1nD0orSoPE2Ant+Korbse0H0XQfo+70oTIuv2RdVfdzk7q32mLSHyUVW\nFgXXWRmdiQoJjGgexsUhxcZG7DP6rgMOjrRd8dMepriY417ZxK/MsPO2VsMcZ69vwjMcjKALaKfX\n4dpprNEYF2RlMLU5ndQnxH5s3s/lSxpw+Q2e7sEBtKw09MNi/chud1jAzEAhmb/bhD9DuClpah00\nXVxP0yWbkGSZ2jOqT3jNHfVP6gn6c7zQtZ4XjnbzYm8P5beHE2J7gd/xq01U39bBcpPgfZrPZDQd\nBhPNgSwRrC1lKSOW5B2GE4ZxttnpAZ0/a6TqvlnrXDj2xRYKvtnK9PuamTVQe8VfDvPFyz4okkDN\n70cpLyGYk8JIoyE3JkHGrgCKIZJkF9UxIZopXcvIr+1i+eIG5gsETy/j58bea4MsRtMSMeGWUp34\n3pThCXEu22gMJufbrqNi3qtgo1iHyss7I85x871X7zWTH2y2tDH8VzaS+NQutE3VqIYndFz3GCsF\nPuaL4iKakKujcIuHV14Wz3beayFcfpWj57vZcLpIMhduzULfdYChz7Rwz4fvxRd/Dkf//C7mzvJx\nBtknxSd6z9M7kOLi+PvkBK/t6XEIW6726Db1RGBVA9FonEVLqONHlp1cTMQgJeM+53cpud2WRaX3\npcPoK8E31RQxf+/UWg9pv2qzCi00zYLzWtdh2HCaYYfQRvMrN8PkbTqgtkbhY9Id2HUo4j2UpCQk\nT4LlcGAKf2mrlM2PFw4RR4z7niSKvWgwbVPvIlq+qp1pFN/289+AsM+fWUHCn7Y4IOsOa02vl8a3\n1dJ86WY0/yIbLqmnIDv1xM7W/gl9z/Y+9KkZyyfajMXLGxnbJFCNFnWkohQMvvubuUGMfcygEBhn\njZmPWJ/Z+N7GP2IgGX/exsoFm/Bni+Iu9eE25Npq9FhXRD6vpKZa34fs9UJ2OvrRISRDbAxNFZQY\no2kWSk2w1ryJWtVn5yE91YGwIyfTKqJX66eYIXu96OWFoEjOz5OURHBDqUVTMPWUzAaTuyusJG9f\nv6vPCLMGGPtYC6mHxbMdf2QUgkGn/3YUet3x1rSJYDT/zbG+UlOt+2DG/NVNpP5D1EZ932zmnPJS\n3hFbCGNTbDyr5rj73L9TRG/Vdb1BkqReoBcsN4WTyon+V6Lj4KB+y7rbrD9HK3hT30ij797KiAMk\ncNFmRhpdFH1tqwPLb4bZyRv+ZAv5T48xU5duTUo6frWJyveHuxUmZ0+dnGL+6ia8v28XPN+JJbTd\nB4VAQ0gLqznauplmp1dyuVg5q5a4YSGCZOc72g9syeUidPqGiEmeXWBs4V2NJO8eh9EJ0XGybapK\nVibByjzk13aFOUPGNbhKi/FXZziVue2/Y20lwbQE60GxFzFjt7SQ/dAea6EOfraFgnv3iQfOJVsb\nwdy7m0h77RjBogzkLfuZun4zqQ+1oZSXcOSjWcTMy3j7dNL+R/zd8Pk5ZN7banWUBj/bQt53Wpm6\nsZmUrmWmquNI3yuK8aVLG1DdskNO/+jXWogf0cm4r427O39KddmJT2je/80/OdSlM7/fT/dP15Dy\nxG605WX+OriDi/Pqwz/zwGYSj8RQ8OdRlgtTiO+e4OgVecRP6FZxPPi5FocN09SNzWT8tQttelpM\ncJeXnbxgRGNjviadhCe2RHAX7UWeHBeHnJIcoTxtvofa0X3cokOOi4tAFbiys1hemy8sy6rKkWbn\n0dJTQZGQjo4w9s41gvOdnweKjD63EFV0Agxed48feTGINDqJ5Im3irvZ65vwvdiHHgyGOVg52egh\nlbFLy0nqWyHmhR3W5mnnXHY+fAoV74tMRjvu30z1HUesQmXojhZyX18Q0/HWA+jBFasbrpSXEPer\nBfa1lVPwd/G7li5rECqPi4sUb43npZc3ktgvkdoRwL2lw5FsdP26jr+c/QHW5Wad8Jr7+E0PW5xd\ngMFzU8j5Qav47EtGs0JTxYRoJWh9vs67G1nzc6EIT4NItJT+UdTRMYdAWOCizST0zaHFiQNOi4sR\nUyxZwf9O0aFN3j6MlpLoFCIxwjENX8WPipakmmFONIJeFzNlMWS/PovcbfjKr2pEglivemxMRLPN\nHqFz63GPLIgEdlHcG31ugfmzK/EemAwLrhjFsZmAyj2DSMlJEdNDU3tAqakCYHpDarhhahcxsXXy\nTRE2e9ifUXPqmPvyLNKhbtR6UUCZk8O+bzZbiRtAx88bqPzI1qiiLJ2PiESl4r07iX81i+/H337C\nE5r900P67b5P0P2bOrrO/h8grMx9S2cH91RUHvdnnx/azQW5G+m/s5nSH4Un7NHCVMu3hz1pn7+6\nieQjczz7zG8BOP9dNyBvP4QeDFlrrPfbzWgxOi6/TLyRZ5nT0+7fbqTkF+JWuGYDaLsPcvSP4vu2\n87MtTt6aIlwDkwQL01EWRBJnJVxJSRArklytKJuF4kSr+ebKySZYnIWk63TcJIq9yg9sJ3RuPTPl\nsZZC+2pxUv8VjXge3+IQ9TPD3Ksg+rMAgqtt2g8e+3ILMfNwyQ2vsW2jaAB0f7+JrHVjJL7NmXAe\n/UoL+S+J5FX72hSu847StCfIq58T69L97Da6fl1H4vZ4q3Ez8ZdK0i/pAEmiapvYJ3ZOFOB5W89J\nnQqunmy5CvLRZmYjprNKdQUTjekA+HMkRxMQIqex9mfKUux+bxGuRUjpCrGcJu5ZUr9o8v4rSJ3j\nCnaaYlCb1sHuI+HCf5WWCjhFvcw95nhCmK6iArQp0cCSstLRjg3B2nLURLHm7I0h6xpX6fUc75rt\nQrJvFquHHWN2i0v7tWZnMfFforGZ/o+B6JoJayuR5g2NgsXFMIf1RWMgcW50bjmcPJTXRc8/ZTXi\nVsfIbaYVUoDYrR1IsTEc/aDYq7O2B3APzaEe6nQIaNmFxcx6AMKN7aVCLwlbuoXYpd2OqbYaeVbk\nz9H0Nsz17FgvpiL8KjE5JSMDyWs0Oo4NRYi8mqhEJSMDKc5o6HkTwm4/tsLTPuxRKkrRB0eQPB4H\nKmZ1mGvM5IGjSCj+IHLvEPjEmTm/Lt0ampjNlVCcQuzfd+HKySKUJ3KK5cx45gsUcp4Xlpb67Bza\n3AKyJ56piwSPPW3bOCFfIlLbnjAqINnDTI2XtHbDbqyrN3rxvapJBKKW7Lg5m/Tdoi4268e7u35K\ndWn0GuI/ERa7RNf1v0iSlIoopJt0XX/m33qTE4z9A6P67YUfc/zd2MdayHnsMHNnVeD920G0+Xmr\nuJZcLqSaCsY3peD7VbuljhwaHHJ0iqxOmjEFWS3yZG5uUn0N8sA46vgkM9c34D0WYK7QzbJPIueH\nrRETDLvIivVetg1Jb65lviSetLZhq4PnyssFWWbq9HzS3hik54YCCu9sExMw43OZG7OrpEhwr8dm\n0LwetP2HcWVnoWWlRSR05u+V161BO3CEuWsa8fY5BddYX2VNHOV1a9APd6GHQsL266jRPY2Pjwo9\nAlEYuvwiSXdlZ6FOTlsPc+icemLmAo5u1vT7mgVsykhIXIf6mHzHWsaaVKq/cMTqBkt1NQRT46JC\njO0CCOb9NzeakyVEcfvAt1HPHmLlgk0Mt8QKwaKkJK7bdoBHDHl9+2HpEH8zNsDu7zVT9um2sPBd\nfQ2BjARin9tmHLyH0UMhB30AbOJ2dTV0vsdL+SfbHRNbs/vrKsjHvz4nrDBvijRlZNB3cwV5ry2x\nkOsm7fWB8LVlZTJ/aomjG7xatdBu2SNtXs9yRhzuZ7aJKYGuhRs2soJ2+gbkV3ehnn0KMVuPIMW5\nHWtfO72Oidp4su7bih4KhYsVWzEibV7PTKWHxKEVVLdCfNcEWv8gK2euJ257FwtnVRH/5NYI1MnY\nR1vQYnEIb/V+u5m1LT30/7GMnJcm6LjRR9mnDaXbDzaT2TpJ/6XpFD3YiZ7jQx6f4fCni6l6cCrC\n6iWaYjyIpL3s2t3WfTpZB/01DzxF+u4F+t8uJhyFXxe/W964Fn+x4Kibxf3qGPh8C4V374no0kao\nbIOlg2AmsVPvb8ZvNF4LvileZxdI+WfqrGYcTyXTPgW2FNft/uDpPqS4OHQjmVQnJiPE3wBoWE/f\npeI+lPxpLqqAl+z14j+3msROkYCYEw4zXPl5BAvTkVr3EDpHNMHiusdA048rFGSPhaua8GeJycVS\ntu4ogsGYosfHo1YVWFMyqa4GSVWjWu50/VjoGpTf1k7Pd5sp++OCwyoHoPMnTcQblnuZ98ejy9JJ\ngdbuGxnRazg9wtIKIuHss8+Uk/oZF0PnGqJIMmT/qJWKbW46bhXf7+AdIfKvOGA1gX73119y/uc/\nScqv2xgwPDuzzx3AdZ7YM/1XCjjk4IUqlR/YbhU906cWkDC2Qs8VMXjyxOfOvVw0dVYu2ET8DtFE\nVycmGb21hay7W+n6kXEfb2+n91vNlHyhzfoc/nU5zH1kjoxvGbZIvSNIsbF0fKyAnFZRpMc/tVU0\nyofHwsmrL42cp1cY+pBI9rW9h+m/s5mir7RZ05fed8SSud3QWzBtgwaHHBOT3m83EzPnLAAtP9OC\nfOEsAYxcVCSUZ21KvGYDdPGd4l4l/GmLw03AjGNfauFb73uEn1eI0b2SmkrnPUWUXisaNmXb4uje\n7CzW+r7RbBUWnfeI9//iOU/xeEs16vQ0ya+LBHd7dxHyeCy7bnkbye6aE97n3vHUnyn8mxOWHTqn\nntj2Q06am4FG6rxbXFvFrVtAkui4ZzOx06IYNp8/a+ofDLF0Sb1DjE/JymTxlCICKQqpO4yiYGQ8\nomnRf2czZQ8NO2htrtEZ9Nk5a02YZ6XeUmv5AsYMT+OvyWLFK64p+c97kQpykZYDaEaRo3f2gqoi\npyQLSyHCwo6u0mK0REGRM/cIuxXX8fZVEIMiCIvlydPiM4UGh0QeUVPinNY3rEfSQT4ick8pPQ2W\nllGnpq0ptikuO3udeKZSn9jL4Ec2RuzH9gmyGeMfbsY9K25M0mPtEbmFq6iAkbflM1sO5V8Qud2R\nX2yg+jO9BKsL0WLE3iqrGpoic+8vbjgpQ5Fb3/dLxz1cvriBhFcPsXTaGgIp4ntL3TNlWYLqRtGp\n7T8sHCXcimMA0fHAZqo+IpoZ9gHW6omoPVzZWagFmda9V9cUwdZ9jjzSbHJIm9Yhm9ZkLhf6/Hwk\ndSomFjaISbSuyCg9Q44i27I1LSlisVJQDeJeO4jkdiO5YyNs3laHfupGQU0A9OK8iMZ68Lx6lIBG\nbI94n2goW/MciYbAcOXlWno7oZHRiLVi7nP2qbYZS5cKeoAS0ImdWkYKOs9MMBTMwXJ4WX1d6ti4\nA8LeeU8ja348zt2/+dBxz9Z/WVhMkqRvSZJ0r1FAXwAMAB1Azr/6HicrYkcWUFKSLc80ubaazJ+1\nIsXF4X12n1XcHflYFkpKshDI2nMI3y/b0Js30HtXs/XlmsXc4uWNxPeIQ2ri1ByUyjISnthiCWUB\nSHFuYSex4wDzp5Yg1a0h5ZE2ZovdZDzfQ/7Dh5m9vikikVMnp9CXlsPwCUBSVSY+JCAdUtseptdI\noggyN8rBIULHBkj6bTvq4DBF39oueLLNtSxWpKM317KwXnTBRs/NRd+2D3Vw2CrMQyOjaHsOofjS\nLKVawPp3bf9h0HVS/9ZBTK9IXuV1a9BDYSXliQ81iw0jFEJJSSbU0yf+PRRCys6wuBiro/C+A1aC\nHizNBl3Df0UjUkwsyz4XqLrVWHDlZJP+jCicQsMjyCGNQz+sIOWRNio/uhV1ZpZgwxr672xG33UA\n10tiKkjDeotDafklV5Q67n/gj14LXnOioSyFUM8ewlWQj2tZZcVnCGvNzfHl568M39+kBN5xUGxa\n/g05VuGhzswy9+4myj7dhnZmnbVBDp6bLAS9ykvQt+9n6jpxAErGQG/slhbkDWuEbQ8wfEYyyR3i\nWb7lh78Pr5fefuEhfWwA9zPbUHxpoks5N4f/ykbU8XEK/rsV+dVdJD3WLjwGjXXRdXsZCX/agqu0\nmJl1KUguFzE9I5aPK2AV0MsXN6Bv24f7GaE+rgdXoK7aep0rN1vwjJtrUV7eyeI5NahleShV5SjV\nFaKA3hBP7jNDKPm5SJvXh62kjAJab65F37ZPqGO/vJPY57Yx2ZJN112nEPPCDibfsZaYOZWhz7Sw\nmKdZnV4Qk6i8X4lnWklJRm+upeTzbXQ+V0b26zOoBzuo/NWE9fqsvw+gHuyg6M+TEAgIz+ThEco/\n2U73dSJhNLmVnQ+fQuGve1h8Z6O1YS9f3CAUub8TQElJJn5So/u3kQXIW/FWvBVvxVvxVrwVb8Vb\n8f9P/Dtw7oeBG3Vd1yRJ+gdwN/Ak8ICu6zf+H15jRKzmRJt8BrMDbY+Fq5pIOjgTFQYor1tDIDeR\n2OmAowOqnnUK01VuYbtieBybUKNogjMgukVL6QLy5X1yF3pwBWnzelZS3ZHkeyOUpCRmL6gm8Y9b\nIkWpokDUXfl5qKPjSHFutPl5wcWbW0YamUSKjxOFWcN65AM9UFZgdTBNyNixL7dQ/KdJ1ANHGPtY\nC74Dy2EYjySJrs8bu1m+uIHEA6Poc/NI8fGslGVy7Nw4ir7SJgoTVYuEQZjS9rKCkuE7Lm9EO7MO\n17YjkZy5mipUrxvNrSC/uovJDzaTdDQohLGMzpU5iTJtR6S2PQ7+jZ1DbHIFyfJRc1oxxWknyKGx\ncaLb/7KdG+75Ce+/+Xbi/nEAbXGR7u81E18+a01HwClOpCQloRfmWuvQVVSAvhxw3idJEt97Zw9D\nd7SQ/3PnFHHu2ibL1ssO45Frq9HcLhbzE6ypRPLTBzj84yqqbt4tmiC29WR2sWevayK504/SM8Ty\nKSWOdWrvdNv9fpcubWAhR0GXJXL+cCSqqBVEcvTlhATktFT0pSX6788h/12HkddXou05JFATM7OW\nTRSIqaf8+m7RfT02Br4U1IMdjonL3Lub8PYvETM8Y62Bvm80U/a9A4TWlVgdTHPdTNzcjG+fsOFy\nCGuk+zjtpQFe3RAfvt4oUJ/ebzVT+sQCwaRY4TVsQOFHPtHCcqbONW0rYs3Bm3Jo/tUY7BzW97x+\nBD0UsvY581nu/3oLpY8ak9uJadTpaQfnxwzTvg/CaIXVnOXgefVMrhNd9uwfC4qJXFoEY0azITcL\n9WCHY0IauGgzuiwR9Ig+rPd37RGogKXLGkjcPx6xj9nXhisnm4VNhSQcDdtXmBYuER6uxwmzmWau\n0YV3NZK8R1y7BcmUFZQKwffSY1zHhYWbDRlt/2GLgyYXi2ahtLAopkA2Co2J9LD44lfvjfTgJFKk\nxQwTxqkfHYKyAubLvCRvFw1e011BfmNPBAfdnFSY+5xalEF9SeaJr7mBKX33szt5+3UT6IGXIfAS\n1/edxdininDNLTOzXkDyvL9rZ+T2FpZ9OtntouPn+cdhFv7oY+HJ7DCf2AjTh3j9Dz9K7vdbhbfn\ng+L5G3q8iqy744jdf4wjXxRQ2vLb2um4t4HKjzq1ETrvaaSyWkzD9S/4YMs+xj7S7BA3MyccgQsN\n//Y0hVC8ZHGIzZi9rom0Z4ypWU5GBOpE3rCGUFIc8uu7LeFMbUMF8orK4LlC9C1z5zLurjHHhN6V\nk02gKlcIdNlsllavgZFPtJD74hST9eKe+vbMou0+6BCCHP9IM9l/OIK+tIycKSDM2vhkxFRr5j3N\nBFIkJGOZyCs66fe3OWDfwfM3oQRUB7Wn57vNXHTuNp7aJZ6h3rc/aKEQPtUlzrvnZ9dz+B3ZllNI\n4xlVNK7PJv7SGCrVDeTnnNjZ2j85o+//kzh7tvxtH1ueFQJ2x4VMrwqlvAQtOYFgsviO3Mem6f2W\nxwHbdxXko6+sMHaxWF+mU4Ydgms+y6v9pVeH/8pG0HHoaZihNxu0i7Y9KOUlHLtMzJhyv9/q2DfE\ni4QejauogGBumvVzckICcxetJ/kVAT8NVeZZllP2sK8Te5iN+6HTE/AM6Ra/3DzTlKQk9GKBkJje\nkGLZIK7mnv/TMDj/JqRZy0gBDcfeKrndLP1XLbHzQpdDWQyh7zjI4GcaHTQ2iKQ82PdRS/vB5aL2\ntKoT134Ym9b3PbUDKcnLC4NDvL67B12WSHmkzaE3gCQhx8cjZ/iY3STuWeJTOwieUcvYJncEKs2u\nz7E6TPtLe7jyctFDoYh8+Xj8c7vVpRkWD78oD2l4zEKsmDkmvhSCacbAcZXFmuPabcKaZtjF88Cw\n7oo11snKClKMK8Jn3HwdgFSYK8TFbHmiif493pm4+j4s1Yj7Hju1zPBpSWS3zltaEyDO7JUsD+7d\nIs/QZucEctaG3HDl5bJSnuXY+8yazkSfuV7aYeW6SnUFjWetoWFjLoE1mTQV5JJbnH7CnOiv6rr+\ndUmSfMAhIMsQGvuqrutf/5fe5CRFx/Zu/Yap+/EYfB/Z42Hyyg3MlcFKikbFrVvEw3t+LXF/2WpB\noTp/0oSeFKTkNzgK1mNfaqHgv1utJDN0Tj3uvX2oE5MWdwnEpuXfWED80ILgKRr8NzsHxywmpc3r\nkXuH0AMraPPzTt9dA/Iy+NkWYud0sv+3Cyk2htDgkAUpXx0mDNuVlwvuWNRUj4ObZYadP/tmh5B9\nAZsq1hCGJilrKxk9zUf6/W0gK0iyJCbQRgJsh8Erqalo5fn0v91Lye/GyHp4lKGmedSzT0GNlcXn\nMZT4TC7GP4NJurKzWNpQIIro7Cz0pES6bsi0IHnRwoRAm9BpV0E+erybux+96aTxttbtkNlfr1lF\nqXZ6HTGjcw7+1OoC0oSX2zfRkdtaSOkKET/sR99xIMJAfvTWFhLGNKtgNPmlrrxcxs4vsjx1zRj4\nQgsFz87Sdb2Xsk+1s/CuRobPgJInQrhe2sHKBZtIODhC6NiAVaDaVehNZVr/FY0kHl0UwmKrRO+O\n5/kXuHAzoQQZz+NbrKQtmn+s/8pGkneOwuJSBJRm5r3NxE2rJPTPMVudgqRjcQWtBtMqzi2IQjp1\nxzhoGnqcGykY4vCtvojDKnhePTEixGIXAAAgAElEQVQv7hRccftzYRP/WR0m/NL+7Jo6AvNXN5G6\ndRjdpRDMThacNOO9pv5ayWM5N1FZV3xiqrWHh/WPrb0VwEJ99F9TQN53Whm5rYX83xtJ1ui4dV/6\n7xSHbNFXIp8Ts6ljHrpTl60jucfpdxkthj7TQnKP6qAXACAryOsEdEzbe5ilyxpwTwdR3QIKpymS\nlcDPXi8K8LS/Hoo4dCdvaiZ990KEkArwpiJlq9eYuadJdTUs54ikwf3MNnHwJ3rQc0QRMlfhJWXb\nsIN/FqGAa/vzalVyV14uoSHB01LSUiM8Kc3ny/w598t70QMBJm5uJutJsU+MXVxGwqTK+EYBSyv8\nmuC5+8+rIfEN8Roz8TD1IEAoM2de6mwAyHFxLJ2znge/duJwbnOf6/5NHdk+8T153tbDuh0y38hq\n54ryM8RnXF5Gqa4gkJtEzxXi+67+3GHUtcXoskRMfzgZs+8hq8UJISwQFjq3ntlikaD5ful0O1i6\nrIHlFKdCvv+KRiY2KPgOaNZeMX91E7OlMsX/083Brwsxncqbt3H0qy2o1UIYqOSavdY5+5UekRze\nvPs9SG3JJPWH38tMsmSPB0qMRoqmRRTb1mczOPZTaxOJn1LxvN5pFU3d32+i6Nkgi5mi0W5y66W6\nGro/Lf6u9Nrd6C21xPSPE6gUhcnQaXGkdIpzwETFJW4/GlE8aafXoSwFkWcM9e+u/8fee4bHUZ5t\n/7/ZWe2udtV779VNtmXLWgGhOZjQDQkECCSQkJA4tAQSSAIhFUMKJECoCSH00CEGzEMNILn3qi6r\n97qStszO/8M9M7ujlfM8+Zv3OPI+L9cXW9KWmXvucpXzOs82rEUFNN8RR2WG2GtnThT/nrBHQECf\nffoUstfX0/bsEgq/HMaSm5GO9KwF/0m9896nbk33reLtmrXHPOcONfWp15RfY0pshpu+X1ni41Bn\nZgyCLBAQWWnFInwJdsaLxNxJeVjMkZErxfxKe6OVQF8/nbfWkf1PDTYtW3C0Dpr2gJlza4jd3IGn\nWswb+4atRm9ruJ7t0Zz/wKnV2Ldqus0TE8gJ8YydLlBaloAauX9qFr4mpCgbloIcgu1dBI4TmsDy\nBzuEwoGWzGNsQrAtK4qxl+p7jrygDAY15u3BwXmvVb9PgMM3FpLznoL9ja0mluK5ZE1zi0c6V42l\nqhKpQ6zvph8toPjWHaherykwCbeuW+qYyVQovXYznbeKBFPuL0KBqH4NvngrMX/fxOiGUhLPDAWR\nI1e4eebb5x77PrevSz1t1xPkPy0b+3o4o/PkReK80vuaw/8GGiv0h5F96OEmlxbhy04wQb714ofO\nJeJxFxOzty+kCV1eArIFVNUUPMvpaSJ49YtkhKoEIwJeOT2NYG4alkbxWVJyIqpsAbsN+kVSOTg2\nLgLMOQmYo8UdxmeHFVXma0+dawZK1esj0NdvUleY6+ua3hcWS1kcDtEKqM1xve1TXliOGqX5GLsO\nIJcVI016IvZEvUe6/5RMYjv92DZuM/yJ0VOKIvTAAewfZuBbPWIkkvRY7V+151mPOgqRpov4Xg68\npYai77ijvP7/mAXjXbhqWo0KU9DjIfHxBhIR2WU9S+94XVDnJx30EvXOCM7cSZO8hZwQj5qXabDX\nBto6kFYuxtE2REBzYKKHfMgJ8Rz6VQWl6zbT9b1CSm/VMh5a5cQIoFNEBVZOTETqGiQwNCykfnYf\nJPGvDUZPtbL/MJaqSrLvrGd67SpGP19M/Is7DaZvneUWQovXgGl394gMZquKa3ski63S2GK8Pzg9\nLRZftAMlMRZPYQzOlzYzc24Nro4p5HGPuOeG3aF+b616pxxoJOWAcAyms6MNB0Z3dMNZtX1LC7H4\nghQ+3Yfa2UNP7SzW/Fwsmw8h68HKpj0GEYW0cjEz1VmC3r+kELV3ICKzHujrp+PmQkre1sa3rx9/\ncpKJeE2y2+m+ptpgdEUVzpazewa27qXrgjx+f81D+OUbjnnORS8Qjsrea4K0rXdSdHMDzb+vpeR7\nmzj4YA1lV4eC6Li7exg/XkB9/TEWnH0+ZKB0ndCAbrprOSU31BM4tdqAnodvKhaHIwJRkbmhk4Er\n3CQ91oBqzQ+91uUCRSHvtRGkrl6KnxMOQMzzmyl9XqvOIw5GVWNttHy8Czk9jagp1TgcPZkW4oC4\nvUNGQiDQ3YP/tBXYPznI6NrFoYy11crAN1aS+mADweOXYn9zK3b9evxB5MpS2s9LJeeOTmN+Bk6p\n5sY7nuKhtWchTUyKqntsLIdvX0DJ9zYxmSsh+ywE9xwivtmJVJCDqgW7RsIrqBhzu+uWOnLfmSSu\nbRoGhpg8pYKxEpmsu+opXSdg4f7TVmB7fw/tP1lB/k9D4zl5xuKQQzNPAN327BKidsdw4Zc/oL7K\nJua9lqH0a0lf2aca1W+LftZpn5V0ViNsiSQt/HdNtUrGfaChBLLvFEGjqy9oOjT06lt48GxZuoCB\nmnhu+v6zADwmip7MfE5UW5O3DKIcbsZ/2gocbeJAVJpajYqJ7khk3SUk3cK7lwavdqNES0blQE5M\nRJ5VsXy4E0mrxijO0PGizx19VPSAwPH6FtLfnp98xuJw0PnVEu0aIoPoQEenCFzm9AurO/czUaux\nnyIcbV8YwU68v5xA+xGDxXQ2Ow5/rBVnmCJicN8ho3Lj+Kfm4CbEM7uiBGnMC1pg2HtRBam7w3o2\nP9lF1KFOFEJB94zGXZD+SouRDEj+8wDqcUtJOBzqqAp6PPR8zkJCqujbSn60gZbf1lJ8Y72RVR/r\njiNRC+7kcjE2yuFm7G9sRf39ZRFj9O+aGuskcGo15Td243penIvjwLt/rWXfvUFABGB673/bLcuR\n+4VDo0xM8IOnnuJHt3+T3z/5DwAe6j+Jpj+GFCzC+9P8+SHnXpADbidZ+3ljzy5K/+ZG/px4joUv\njhEsMbsa8Tv76Tkx3ehDBYg/PEH8q60EZmcp+1YoUVf4dJ9RHer4+2LyL9zG8Dfc/OJCEahkawnh\nbzc188DfxbjqyJygx8NIjagWJ/2lAWnlYoJW8dz05LPF5SKonY1Tp9WR+PgW+q52Y5sUF1fyzCTq\n9v30a728ik04hOrO/ZTcJSqfA9qYNt7lRrGL95X/ZRSajxAE4z4DvX2MXOkm9YX9xrhbPtrJ6GVu\nfPFijNLua6PtrhjURheNe0T1Na86BXX7fj5aIiq2eSmHUYCirx5G0oLSQ79bSNs5D7Mma2mI7Opg\nMxu7tvOzwQXUV9mMMS397mbYspZjNZ1UKfrVLUaw6ltaLKSjTlwGWrDS/r3F5P2sHsvSBVj6xX4V\n9HiQDrQycWmVETwDULsE25QYMN0/s42F2KFtRQUE2o+YyGJjmsfBYTfNJz2ICk/8Ha16Zn13O+G7\nvjI2jmITe3hc85TxsXpfpp6MCV8Tqt+HND2LJFuI2qpVnpcuQI2SCWi9wZLW9mTNSMfiENfid1qx\noEkIhiV55OxMgv2DxlgBOIZ8xpgU3xhaI+FBlFpRgBQMXVvM85tNyWfnS5sjeFtKf9eC57QqJvKs\nJB8w9+rqcylvw4jgwUhMxDa3gClJxjVEp6aigCmAtiyqILbbD85ojtlmvZRevgOLw0F/GFM2iEB2\nQOQ/iX0O437Dg0d9Hul78OSCZCwBleheMT7y0ATKkW7sAcU4N60Z6SALKTo9QRqzLcqEMgrGRSP5\nAiYuI8lqRc1IRgn7ncXlEn3M5YWosrb/7tyPZcqDohOOav391sJ8AhopnTU9lUBvH/7CdKweca1S\nYjyManNaIyG1HGw3ZNQA4ztGv+Ym9UMtKaoxgSuHmo170FUwvIWatJvHD339xO4ZYFpLKlt3CySl\nmpWK1KnNv8xUkCSC7V0Gk3ig/QiE9XzriAppwgO+EFpC91f1Z8HQCGSkonaKJGDKTheSV4HYWOP8\njXtmQBT0YpwmJnnviWGqRTCvCslc+x/3RAN7JEkaAG4B7hDfIz0KFP4bn/GpWCBacy5rJ2n8U6hn\nufGBGuKf2mRkddS6KpRosA/NMHi12xRAT69dJTbGxnYCTjEMvtNXom7dS/dZ2YKI6RduJvIdKGPj\nFL4olkLxTQ0i2Fy52IBqdf6kTpBYJMRhzc9FGR0l0NuHNTuL4O6DQg6rqIDAqlDvaHD3QeSF5Thf\n3kzCnjFUn4+4ZwQTrJyVbrzO0DorK0ZOTSV44jIka5Tx95HaDEa/6hYEEg4Hw99wGwH4+KW1YtIo\nQdSd+3H2zDB2uZuYQyNInX0GeQkAFUVMr10VYoFdsQi5shTLtI/oV7YwuiD0UuVkAfGwTM8ydWGt\nID34ZBdKUyszpy5m8qJautbmGs3/IOCHmU/sw/PFVahb9xKwWxhYVyequR6PsUEB3NB8kJlzayi5\nfpPB3geiohBOGKV6vWTfs8WAUrpe3Ez0K1tCgf5Jo/zgwAVEDUxFTqJ/02aVKDxZdpqujKLo5gbk\nBWWGFmLF9/YZmbf2X7lpfVwcknf+8QFcXbPIH+wwpANUvw/7sAWpeqEhlTP6VbdpXMPJInQ4zWxZ\nOqmvHUYuKST5kVBVNOjxEJydRY2SIyp8cnKSqXIzWRkaY6V/gKTHGozscvrmaaa+tAqlsQVrfi7D\nXxfXZBuZJejxhALoZQuZ+cJyPBqJ5lx4UNQ721EONhmEOerIKMETlmHbdJAHSktEMsjnF5nWiQnK\n/iI299xf1QvCiBWLBLtjUzvB6WkjeNBt4oLltP/STepuv3jOm/bgX1yE86XNEdCqqLe3gUUi97+m\nRbClbYyuFzYburKzZ9UIzfgTlnHk9jranxNVmfjWIPVVNlrXuwXJ1Se7aL6n1qgIOl/ebHze8Dfc\nBlNy8MRltD1ThRrj5DP7zD6zz+wz+8w+s8/sM/vfaf8WO7ckSbGAV1VVn/ZzPjCuqurY/6Hrm9e6\nm3rVPZtb8RTHsfuODTx3uY+CSw/P28shlxXTuzqdH173DI+Viwre0LfcqGeOkP4TydRDGE5Lb/zu\ny7W4er1E9U6g2qIYOC6RjFdb8ZVmEdU3HupffXsEadaPeqQbS3qq6FsKg1LPZZDW4Tf/yvR+HYvT\nSaC63CRjoEv56DY3KygtW0jQKeRqLEsXwKFWAcHT4CThmq5zoZL69+pa2Po4zgcTD6eO7/1+HfaT\nh0Qlbo71X1OHdVol+c8N9F9bR/I+rwH10VmZ55OBCB+/yfJEnC9vNuDROtR+bi8NiB6axbedSczu\nwU9FP3VuT/RreXacQwL6F96nGw6NG1hXx0y6Sv5tDRGIgdmzaojZ28tscZoxDq1PLzWYU6ldQuO3\noii7QvzNd/pKRiqiyHm1m0BbB8ETlpnmg97H0/njOnI+mBZ9HaVFePMSjWcYDs/2fHEVSpSEbSqI\n4/Utpmc99aVVxL2+GynGRfONZRTeHOIFsL23C4vTiTIxYVxD+HPzr67Gl2DF9cJmk1RH2x1u8t72\nokoS1ve2Yy3IQ/XMoHo8IlgOu7bwa9HhbZLPT6CjE4vTSde6pUyV+yj7xjZzf21RAcPuDBJf3MXM\nyYuxv7mV4a+7jf43MM9X9bilNF0ehbM9ipw76vlZ63Z+WqSR8EkSR37qpujxbo58MZus39QjLyyn\n8YpEMhpU4j5uQynMYKA6xpD5qD2rGvdXTkEdn/hUeqLbx0bV/c9vR8lLZdtfPmDzW7tNfdq6xm3S\nYw1MXFLLyALJ0Lm3FhXQ9Kt4Ci8O9RV33VJHzh31RrJG50MYvNqNRUuX671W4dJnckqyWZYjbB7r\nMO34JzcZz1D/3UCNSum1myN0Q60Z6RAtqmFtX8k2wfl006vhlioNDjnuYawmSyR9ws6sxgdrWLBe\n0xtuPyKkpzJSGKkWNc2kNxsJlOdi2XqQvqsFVDD93nqTXMh8slSS3Y7qDyAtq6CvTlTHsv7ejBTt\nwFuQEiELF84Wqpy0HPuREZQkwRpumZiJkMuRVixivDTGBCnznrGS7pOs5G0U55ijRcBNm39fS+5/\niYpAb52VglsbjPND7xW0xLhYsqLg2Pe5jmF119tiX9H78Ec3lJJ0/hGu2b+bn94h6E/0NdXxszqU\nUnEWlN7QEwm7lyQGr66N6JGWVixC2tdsjJnOsqrLC01VJs8L7W29y03GJpH8NRLMyUk0/lHMzdwn\nrDh6pzhyRiIJLeJ1QRkCDokxjX8wunyMmcYE8pZ3G6zgOlSwbb2boudFBad/VTwZf9khzs0wOG/4\nXj6f/vj4pbX0nxowyWGC6G8OHwdrZgZ95xSS/kyooly728+Ht9ThrG80vs+ydAE9JyeQ87xYQ0eD\nQsplxXRcIJKOOe9PMVTlMggh57NwxYW55jt9JcMLRbJ+Ki9I6XUiwTmbGk1dTTEnZMUTdbadxfHl\nZEanHdOc6+wbVfe8Hslx0/LUMoov3Un/taJYoZw8ZnCOzNVSlytLQ5JJTse88lR6z7Pxc3ISJCXQ\nfpGAzuf+st7Uh2txOFBV1VR5npd9es5zhRAyKLyqZlm6AF9ydITOPGB6nZwQD0EVX7WorHkybSS8\ntAtJg7XrMF5rZgZKhtjnpIMtBJeUmpBV4TBxMPttOnO5JS8bpak1Avatty1FmJY4lpMS8S/K/+8h\nzQnxkJ1B4xUCyVF8Y2i/02H6Xnc544VRBKOkiLWk26fdE93dOazufncfqt/PPxwePjjUSt59exm4\neBEpDzeYdJzn07027kEjNw5OTyMnxDNyli69NCTg9nP4QOaa7n8bPcQOO6pnOoJ1e+4ZNVfGDbQ+\naqfD0LNWM1Mi+vrD14AOKQ9OTmEpKUBx2bBMC/RRcN8h0xmpz2eTnGNsLFK6aJHS79OyqAJaj4TO\nQ1UlWFkg5uWc6q73zJUmWV0DQavJX0btbSVYkhuhs+1Pi42QdBv4bh2uPnFGjhXLRrEj3Ia/4Sa+\nVZOc02OP5CSGzxAoieRtQ0wsTMJ1ZBq5rY9Vpy2m5nMCrfap6ET/J5net9V/TR1SEGJ6FJwvb45w\nmEH0WkpBlfgnN5nIgtY1NXLz418j95disPuur0O1QM7fDuNblG92kjQCiHDr+Fkd+T+tN/UWhAfh\n3jNW4mwcItjeyeCVK0l5uMGAP4dP5PD3C+jeJsHG3N4jYFra4vGdvtKABxqm9WDqQaS+Ec6eVUN0\n/4yJvMezPFdIHlRV4kt2Yn1PkBT5o0UgFffPVqEdrWv/1SxmNj0a1yZNOkTbuOc7RHxrVhA14Udq\n2C3kxGw2pIIcI2kwcqXbIGgzPceHV1L2TfM9WQvymC5Pw7m/l0BXt2khg5mcYeqtImLPOoIaCDBz\nXg2xu/s58qVsU0UyvSGOm3N/fcyavYcP9ajXrb3X2EBABIxYJKLe3maSUDHu76GVZOUPE/cDm4Aw\nLShD7ehGqSpB3t2Mv6Yc2552xk8pJeb5zajHLWW0PNoYK8lqRV2xwCxHEWb63ND/1RM14UHoXLPm\n5qBOeYTGYGIiZKUZz/PIT+sMCSXd5OQkgoVZzGQ4cW1qMWBIckoy/eeXmSB0/1MimHDzrVmB7A0S\nNTTNdGGc4DCIi4OcDGZy40wQs6FvuUndPkn3SXEGhD9wajWOlkF6v5BtODLW7CyUtETUnftNPVX6\n3O67vo7YToWYDg/qtn2Mf6WWybWTQopnzmGlk2XpiaWxy9wkPNFgaOKq7iqsIx6RBMrMIDjlYebF\nZB7J+R7lFcd20Ddua1Gvu+gBZkpTUewCLeN4fYvBLzDXwhM4jQ+tpOxbkbrv4bISevuInBCPf7Eg\nRNH7+4/qRB3F9L5da24OQa1XSrJF4Tm+nO6TLSZN4ODxS7H1iLxrICWW/lWxZP41pKogLygjEB8d\nQSwWoZeengaBgNGbFf7sxi4TTtBMqkTWvduYWbPUkIOba2pdFfKU15RQtWZnoWQlIx1qR9IO/8DC\nwohrkux2PGcsJfaw6EMMxEdjHZoUjumyhdrv7Mgf7MBSVUnfCcKZdIwEiXs6NCY6AZxktaK4NUjd\nRzvBIjP5pZURyd3wxKEebNy//w+UVWYd85y75P5XSfmkD2+epqCgORzrmho5xyXWt04+1fmTOmTN\n977myld4sTLNJEUmpyTjW5RPxzdFQFt0ieBimCsF1ndDHTOpqrGHNv1xFaXXbjYSRfHtXuT3d8yr\nq6xzmhzN5OQkAuW5RquSrhvc/cM6vIniXC+6uYHRr7pJeauF2SoR0ES9vc3Uy6ffj95XCND46Arw\nW8j8wBLxjMK5RgBW75vknUWxobH+8wrKvn70PkTd9Jault+IsSi+qcGUoLQsqqD7tCSy3x2l7QJB\neJZ/W0NEohWI8GV8a1bgyYgiZZvW39g/xMST8QbfjG56oNh3gyZLdnc93TfX8cr553xqffjhPCtT\nX1pF/HtNR+27HPiORtj2p3qQJIauqjXOornBIwjeheRHRJ89mDlxwk1PpoDoHQ5aJexjASZzBIw9\n8fEG/KetIPpAL2q8SJKpUbIRrExcIhKI4Wsb5ugGa/J+NB8JFSM05RZ/lUgiRe1uMXxEyWpFio6G\nQiH3FtxzKBTUaAi34boM4ltmiOoaNlpjdH9QT0Sqh1pRvV5T0t+an8tMaZppPDwXrCKmw0PQbiWq\nJdQXPzdo04OgcEkt3XSCtZlMh6mXGETCI9jcMW/Rq+tH4rnmP9Jk+Jz6Pqru3E/tbj+XeX/3qcy5\n07a+LHxJbX/3rVkR4WPrXDEgfAGAzN/XG2dReFuSb80KZpNE8BieHNUDbSk2BqV/4KjcMqCRgUWJ\nz4gIwOesXTkhHmViKoInRkdv2o6MhCRzNfI3ZWQU1euNKFjpSXP9dVPVeTj+scUIhi3FBQSddrNc\n1MJygSg80GgQL0o5mRHXra8XPfkXnrDRyewk2YIlI00km8ISE/OtZQglAHR/VD1uKfKklniYQ24n\npySDEkQZHTVkFePbgsS/vhdLbEzEvJZWLsbSLJ6Pzmlx/757KFuQfcw90f855oqmcrsVquvxXBDS\nctYDaH3Db7vDTeEtDQx9041cWkTnuRlYpyEQAz+/y03BJ0P0fdtNxgvNZD9xCGV4BAWwt0QbfQwz\n59ZgmwgQiJYNFseJi2vxpYiJO+HOx/mSCIJjn9vE0DdFH1TcM5voXVdH5kZBdBFOUDb2hQU4+33Y\ndrcJ2Le2qPQsne7MyQvL6TwtkewDNtPiNpIFWtYx55kWAgh4s+quImZnF43X5FOkvSXQ20fUhGCJ\nDO4+aDx0b5zE8KoA5Q9Oiw2rdokIoC0ybNlLcK2QRrI4nYYurDQ1bar+eb64iviGTg7fkEdKcS0J\nh6YIbtsHuuxUchJJf2mYl2288pYWSEyk7bpK8m4XTlDPmTmk3V9vjL8yNi4Yl+85jDI8YgTQnT+p\nwzI9TuyySti6l0t+vYGXF6SSdDAdOTGR3r+m43g2AdybsG2ZgiwzLPjftfyiQSOA1gOqztU2in+y\nFRUouk38u7FnF2esvlBIKWlBTLBmsaisaWMyXuIk+aCNsRI7yoIKUvbNGE50TOxKo+9bDQSMYGk+\nXci2CxLI3w2WiWmChHqs9ABaZ2sOT0SocS4UbQMPFmWZ5Nhy3pth+Co3kgKxXYIZXRkegeERoq1W\nFCW0WStDwzhGg/hXV9N9kg3FLpy7Ea1vOzxxos9XKcqGnJ5K++X5JO8PELu7D7QgOQg49oUcYnkg\nCluM3UAdzJ5dQ9qTe/DVVpD7+gDo5HHvbicAxLcKygbJbgeLxdh49QC6/ZduSh7tIuhyMVERIOdF\nISFnWbqA+Cc30X+c1hbSKsZGJzXK/H09o19zY51VcaanGQF04T+uooytWPyKmBeSZCTD7KdNYp80\nZ5L//1owzknU29vQGzhafltL2Z0tKGCqjgEEfFYaHxD3UfatLVjzc2m/NJecX4cCjMErV6KK9iZS\nH2gQCbuBUUYqxSGYojnd/yqAnjmvhqAsmUgNkw6JFRvuHAxf4kYKQsnN241+wJanllH+/R7j4Br6\nvJv0e+uZ/OIq4j9uF59xoBHZ5SKs2QTVXcVoQTSJI2NMHSccTdtEAFvnKGiOtk7yqMa6SHhCzL0E\nRItj0BY6/yxLKgjERyNvEY6vfPAIkt1GkBA5VGDrXujuQSXE/i17fKZrAtFz6Hx5M15NLs6+vRml\nLI/me2qpuEcgK46cEU/uByD5AkalRapeiEqI/CjxsCA8UgMBfvW3hwG4tXAl1CyMCM6kZQvJ/HgS\nWSNOKb50pwgqPDMcq0nlUSQ+3oAiSVjn7Nf3l5bxkOZkgZjrub+sN5i312QtRS4rZqrQvE/IHwxT\n9IH4efbsGoPMcM0+ESRsXBRHIBoKNoSuv/TazWzs2UXNTlEJmHo6mXiICKABU2+lHphGfZBpEGN1\n/zmdjPN2i3MNcPZKeC5YRdLhACMVIRco8fEGFCDq7VA1PfqVLUyvXUXsR2Lv7/pqOZMLfFgHxYpM\nf18l/qlNND66wuifNM7KsADasqiCZ+5PJEprW095p43y7+xl6q0ipt4QY5r1ZqhvWw9MnJtbmU6x\nEF1XZWjbWzPS6XowCT4UCZnZFJW8t2cI7j5IfliOZ+bH41ikQqLXiOfoW7MC+9CMqXpr27iNwNpV\nzOSI4L7zikRuK3iB54qOZ/AE4TN4EyQy/iCemZ64mbyoVrArn39OxPP4d821QDVI3Dp+pgVRP61H\nQfhy/lixdrPuqqfvujoy/lCPfUKsRD1xltASCsjkvmECCJIgAM/Pskl+pIHWO90U/VCMoc5xoZy0\nnKBNJCij3t5mBNAgerTb1rspWd+M9d3QJLO9twu1uAC1TQSreiA8e1YNiTuFU6+vAD1gjn1OIHU8\nS7Nx7dYQV3pVeNlCFO28itrdgqqqkJsJB7SquWRBkiTUNhGE6NVyi9Np+FRJMdFM58YQ1R3a5/RA\nxZ8keohlrxeL04mzLzRWgY5Oojo6mdV4GwBs4wHk3hHU7h7MKr4hC56wDGd9MwowWiLWQrZWHBr9\nmpvEx8U6ja0oMfWJy8lJBOeLFuQAACAASURBVJs7CBy3KALNAxhnlYIIBvtXRJu0qDdVRfGlXtdR\nrurfs4rbW8W1aYGp7a2tJH6SxOhxI0ZQGPf0JtTjlmLxKYbyhFxaRO9p6WTKFpHU1ix6cxO2uUzV\nNYsJ6uiA6ekIgjLdDCZpLQESPHEZUqpIRFgPHTHUNwJx4rpszb1CEnYeFZGoQdH7PlKbSaLDhnKw\nCTVRJGnU3j4kq1UgHrQWSslmA+1Z6Oey4x99KCctx6Z9Fj4//kQHVsJIw8anUGO1gFdL6Fk9M8jl\nJaidWt90aT6SohIcGWV6raZr/3LY/VeJ1sfgtn0E248YRQrQdOK3NjJfmVf1ijksrVjEeFkMcU9v\nijib9USOurtJIAUWlJG+VayJ6P3ddH2jiqx3RwgsFL2Jut88Vu6CclGd1tsYmT66P/d/ZxDtmeHV\nHcspPC04r8xA2rYppCUVFN6iaduumUB5uJWs37aaGSBTkolvjUMpzGA2LdrYRHRHcPC1ctJ+MUPb\nOTEU3NpgMCQHrRKl68TgOl/abKoMKXaJmMOzWKoqyXqzx4B9GQH0ZW7im6eRGnajIA7XwBy5FUGy\nshdl/2FmLwv1OCsnLce2q4W0VxuNjUmyWgkUpDN8VhHJjzZgbe5h4vgiCl8XDoke1Fg+2mkwJ+sb\nZvKjDSQ/ClJVJSrQfraLgk1AUDFN5uD0NI5R8Y0Dp+SQ9FiDAQVzvbAZNSWZkpu3oQYCDL5eRsrZ\n4tp0+CiEwT1iYwksLaHjTAeFNzfQfHct8YfFMmm9y03RD+pp/6XbgKUClNzfSkDPSGsMzc5+Feff\nXKhbtyCnpvLayWlQm4Hj9S0oQNq5owKGCnhzjn3TPbInxqj06smUpANgKcpHaWzhrSPb+EJRLWeu\nOovJlYk4DwhW47g2RVSZly6g7/JKMv5QT8LfhLOm9zYrJy/H+t52o5qd01gARQUii6hnHi3ioA+c\nWk3QKgg4HINahaytw4BuOw73GRm/4J5DBE6pRu6dQE5NZnxZGnEbxIauzzEISUDJUz7Snm/Fu7wE\nx+FeAoQcQsW9OKKqMZNiwdWjmJ5V0mMNjF1mRh7oyS3V78NTlUXOr+sJnrAsArovRdlEAJ2cJDKM\nQ8MEj1tK211uil7yIEU7sL67ndnV1YyflEr6CyKxgiSx/Nc72LcRvCcvoftEK4W3dBmwuJabFlLw\nkwbUylKaHiml7JIt+I9binXKg7LrAHJcHGXfFmtfykxDzkyjZ5mdrHfEdSX+tYH255YQ++wAzffU\nsiYLythqoEMsDgdNv1hG8U0NBlJjcjwaPoWzfqg6gdTZEISqbH0TytAw7b9wG6zGOgKg7Mo9DF8m\nnG//6mqaz4yi5AZzMCypkBIGPZT8CpOr8o0qjsXlouN7VWR+Emq3mAu7in5FwP8tLhfTp4gqgb6n\nhqMRUnZO0HidnaS/+IwMd+lVhyE+RBCV8lADFpeLuAOjIYJGLWE0e3YNM8ki8En8awNJ/QV0X1JO\n1psigFOahBOkf7bq8+EvzsR6oCMCOjYbbyEuVxyWgT2HsAATX9YYWJ8NBWZ6clB/tnJ6GorGXh4k\nJC2lcxVIH4t9Xz+AFYAte0kvrDXmd8FDHhTMUiWtN1opvBiSdwtHeTbNaZDzffm1a8RYsck4V3T4\nper1Ggki3cFt+Y2b4pvq4evHTvKkHvZr/5kfoaYnipruWyWIpYCSD74GQHlmH01XpFFxeyNBrcIw\n/qXlxD29iagPREDGSWKeDKyr478u1eV+DhrOsx50BPccYk3WUhIRY9Z3XSrRGoPs6Ne0xIPG91B2\n0WHG7xPPu/xBLyrQ8n4heYggOuM8gU5o/4VIMBXevg05JYlAbx85epUr7B6nzxfO3mS2jKtPoecL\nCokZwtnL/F09mUSSQyXsCBFuxXZ6DV9Brx6rVpWKe3sNf2D69JXY3urDdXorMXaxXyteL9QsZnhJ\nDMMrxHmbrxYxXgopD4eiY39RBnzoIkojzsp+e8RAE7XeKb4vakIi93Tt7NXaN2wbtxmJXoA1WfqZ\nG9oPijfCXUMXIp1PiLBzHvNkWYg96l//PfMckLANz6CCQQBpzc6CKCupD4jKLwjfQQ/mXb1ing4v\nTSBxNzga+xnUuEVSP+ii60d1ZP9I7EPWT8TaDNpUo3LbW+Uk7RNBfKR+YCaX1Oeq/6ReUneokVwj\nGekEwhBpeoEkun/GWOMz59UgBUAKimdk3yOYkT1p+djnwPG96U702aNMTBA4pRqLEjQIi1S/DyWs\naiu3dokzcmTUeLa8vwPHLrEnyKmC1GlmeT6WgGpCpQWnp7Ht6zAFtoNXu4keURm8Woxf+qZxE6M+\nEAFptny0ExaWw+io8UwGr3AT0xsg8a8NND6oJXOv3sLQN91kbNQqe0lxqDv3YxuYYuRSrRXoqU14\nv7CS0bIoJotEKFT4mh/vTaNknr7TaPFQklwE7TL2cRWOrSYCCKRUuMkLyhj4aSxRjISCwvxcAp/s\nMu0PSlMrWVPTJmJPnXFalxczWjXnEJc6X9psbpPUZKXU6VACcfDbbtL+sgOpQqDDfEsLkd8fFahD\n7TXqgjLo60fKTIOwINqyqAJmRaAYe2QW5WCTqPb2iqq+WlcF9buRomwRKA+L04klQxQjAq3tghVe\nOzNRVWybDxEE1HFxZilj48gLy7E4nUixMdogyvSuTiOhWSBi7O/uIkqyEPT7TMGzvLAcaWySQBhU\nW7LbjZgDED7oXCndxERQg8aa9BS4cPb5Ta/RYx5VS47p/ogS5zAQF60/rSPvzUmC+w4xs1DzA7T3\nJ21swbdIJAqGv+E2yAGPZv9XBtGu9ET+JC2DC+CDU8oYOuk1umpD5FGHv21nwc/GsGi9SzkX7Kfx\ngRrKvr2F6NdCzqAyNIxt4zBjl7mZzJdQLltCxhMOXK1jKAcaST3nMCpQoL0l46MRSE8j4clNZijW\npj2if6aymNlUwVAbBCRtw9Yda++ZK02TBMywAz2rWni7j+Y73JT+sY2im8P6OT/YQTCMuRswqpXJ\nm8T7ld0Hcb48aHxe6iuH8Gt0/PY3heMfc2CAgEXGmpZCoK/fgECmbxVbq7Ugj6QXd5syOzH7+gkg\ngiS5spSUhxqMCqe/IhfLxyIDm3J2qB865/0p030BQnf1o52U7I7Df+IyMj9Rcb2wicCp1cZhXvCT\nBgPyHg49Eh+gEDi1mpElQWa7rGQDUqxLOCdh/XhL77iYk1MTURWFpEkVMjgmc8U7uea6k4GT2bK9\ni7fPP0jC6SIYthbmsyYLYJZgZxdOLQmTssfPZI6VGAQVf85Q9ryZXfn9HVgWVVD0/ISxWQda27E4\nHEx/fgnjhVbijgQYPkckJbp/WEf+/mxkr4pcVkzQ5UDZuR9rE1BUYIJTWj/YhRJUGLvcTcq7HQRV\nFYvDQaxzlqZ7V1F6zWbjterO/QRXLka1SsYhmvC3hnl7vgBUiyTkkSwyUpQV1esVrLEbWiAMeTB7\ndg22MT+Wj3YawVjUwCTExeGrLglplVvEZqVv7t4zV+JsHqXs7j4CvX0E7XYhW/DOdlLeCWX7h14r\n5dD5M/Rfm0v6H+txFWs9dNpGW3yfqNy2fSmV4ku09o1VTjI/GTVV6eXUVAMunLpTHAKdP6kj781x\npMMiIi56QRyu/tXVBjrk8O+qKF3XwPLtZ7C+PJrn911EkufY22Rc8U5+fNlqHKfN0vDke0av4Gf2\nmelWe1Y1V35+NXEPLcEVd+ysta54J9c/9C3A3J/6mX1mutWeVU3VF1cTXbEYV/yxEyi64p1c/6Oz\nUYeO/2zOfWbz2qqTK6k5fTGqLOFy2f/7N/w35op3cu36iwhOT3825z6zec3tLqH6tHKBuvsX+9x/\nVE+0JEnXAYuBRuA4YL2qqhHe+57+PvWHtXcRTIwluOsAUxfW0nNKkMrfDqI0t5kqmW3PVFFy26QB\nk5pLoNBzYx15z7QzW5GJ9d3tojl/eoapz5Ua1RWdtMuUjatZTO8JsWT+rt6AIk2vDUHLw+ExelV3\nbo+UHBeH6vOZSQRqlyAfaBc6g2E9gHJKsrj2OJeR7ey5qY6cN0dMgbhukxfVMpNqIfO9IdT2LoLT\n00YVXs+EzZxXQ8xHzYI0KDODxusKKbq5wRS46tes9xTpPWKWpQuQeocMIplwQo6+6+sIWkOZ7IHv\n1iF7VVy9CqNlVjLrp2DTHvquqyN7Qy+q027uR9SSHzq5ULj13FRH3vNdEVXMub2sOjwa4N7D91JR\nmnHMPTTXnvk7kzZf3mYXR1Z5aHxkJWVXbTX1rfvWrIjIAk9cUkvizmFTRSqcpKZ8WxQNf1pB0l8a\nTMQRPTfWET2oGlCzwCnVtH1VJfcFK66Dg0gBZV5CNovDQdYHVlOCaa5J1QtRdxwQ+slhzxAEaVPZ\n1VsistDBE5YhBVXGSqNJ/GuDQdalzxU5PY3BM4tJfb0ZZXCQ7pcWknGv3UgW+FOdocBZM73iPZ/F\nfpTC9Nl+Dt9eiWPAQv6rwwSb2yGoGgkla0Y6wbFxgrOzhq6zkZE8bilTuQ5in92EZVEF/ccnokRL\nZP5pO4cfXETZA76jakVDiPyj+clllN8xTbCxLaKfKxwqOPnlWv72vfOOvW9rR5u6bsUPmLi4lqkL\nRfbX9WIcZesO0O+eML/YIhM8bomBFrDExjLzuQr6VllJ2R3U3ju/TqnJ5uF/0NehXvEN9PYxeVEt\nIwslip7T+p+nZ4Vc3opFyCNivoUTkDXdK6p7FQ+OmTgVLE4nkt1uwNUAAonRBmHNzLmiohG7d4DJ\nxWkRZFOeL66i+3SRTsl410rinlGksUkmVolMcuyeAVSHHTVKRmoU12NJTzVdGwhd9uxXOyOktuT0\nNALFojKl99TOtXCyOuPzwjTYAZ7q/ISLL15nVCjGLneT8MQmY6x1YsD5SGwaH6sm/R1RNfHFSThG\nVBPE21JVCa1d3L371ywoOPZ97uof/J2eExzzEr55z9D6H9+I7LcHc8+9bjqZJYge4rYzHqX42asN\ndQPdhl4vI/0KDQ6rvV43a3YWSv8AaiAQalnQ0CP/SuvduIayYt744EUA1px/Ob5fjPNSxTN8ObfO\neE3Wplh6aicj3jvxZjGuu0TrxNx9S+eRGLnSbUDy5e2HOPSnRRHEYgPfrSOg+WK5X2hHObknxEGi\n36dW0dKJjTLf6okkNapZjLTjoDHOva9UknneQTp+VkfWR8K3CcTIRi/3KXsFJPO9qjiGr6xh7BRx\nnS6nl/joWQPuDeI8aD83DrXcQ1aSSC527soioRGSd09FjPO9jfdSUXLsc+66c+4m0NfP7Flaj+k8\n/AU6cWH7c0so+LJ2HaqKJTaWwQsXRfDh6L3A4X6BTlo0WuEwkGCWpUJ6xNI/ghpQkGQN9dXXbxRA\nwvXq5YR4fMuKI+YCYOgjzyZbiXl+MxMXaz3SWo+szhEAMFpmJ3XnlIF+Cb/HiUtqcfX4tM+Kiti7\nJasVJAsWvaVncJDAKdWoFlBl8ThsG7dF6BlLUTY8Zy1jtEwgfLLvFP29oytS8WuqN84hhdgdPQSH\nR0I921rFNOKZFOajOrS+Vq9f+G2lRUgz2jychwRPR1HpfeDKxISpHx5ET3zsKzvpvn4FWb8JrY/A\nqdU8dMeXjvlsPdDRp179nb8R/eF+oyKtjI2HfJiwa4NQdRNC+vFqXRXWceG762eanChaLMhMNVAq\ng68JaHDqOYexFhUQ7B805Mas+bkEOjqNCratY4hAZ5eIDbT1HZyexrJ0AbMZLqK3t4vv056FxekM\nVdRlOaK6rM+n8PlrqapEmvEh+TRp3/YjgujxYJtJatZ75koDonO0/R4E2Vewpd24HmVigoDW3mR9\nd3tE3GNxOlH9ASHnprVPDS2JIe3FA2bUhySJ8dF826PpS8sLy6F/iECZqJqPLHAaBKkgnomam45l\n3GOc73P5VUyfl5hIsER8lr42/9hyL5WF8+9z/2mVaDtwjaqqM5IkrQV+Dnx+7oscnR4O3J5mMBfH\nv9vIZE4FAydnkNzcRsFPRE+m7FXxjwdRmsQDPHJ7ndF7CwI2mPVb0X/rUISem35QKzYJa2E+M8Up\nuF7YTNt6N6X3CEfJv7qaqPd2kblFQTl5udDsTE4yAujmJ5aR+Yrou4ryBJlN0hgNp0M9dXJqKsGc\nNGaznDje3o3q94ng9v1dHLyvmrLvbKHr7HQyfycedDA3Q8D4ukMw6azf1DN+US3xsgggW35bS877\nCvYNW4l9bhOxwPDlbhIONNJ5a51wiiQJ2yf7sRQV4NywS4ixA4H8NKPqHQybFfrkT/t4CO8p1US/\nsoX+a+sMHWPdCQgPvlx9QVP1OJxxMRMhLxZ93FKih4PMFiTRcWYUJc8IR0guL2G6IAFba7sgv0pJ\nZuaZGNR70rBv2ErWb+pp/oUb22SOQSA2c24N9/3hj9zw9XVYPX78MVEGbKP5nlpDEu1YbLbAyeHf\n57BuWQtP3reG1AdDi7TsKrHB6AG06KuJJIyJe3oTpCQzcqWbtPeFczRwYiZJGmx78x9XkPzcDhr/\nUEvpdZuM3ujc1/pNC9763nZKPxCwdoUwohJCm33Lb9yU/baFrtqBeftmjMA3rCdaag31swZPWEbZ\n1Zojo6oGjB4ElMu3ZgWJf9WIWt7Zjn91NcOL7GQ0iDWk2IuZXlmA/Y1B8r7ZZzjF0pEe5H1zAkBg\nolAiAbEuvEvyTMmHkZ/lM/oVO6VPTaJu3Uvf1W5StUPLmpvD9MJMRtOtRpIh8a8NSHY7SY81GE6u\nqjkz6uFWUvdpAfDKxcYe0vK7Wpw9FjJ/V8/UW0XEaMQ6d7Zt5sd15zJyhZuSrwjkgc6iPni1mx23\nPcDJV3wD2atBEINBek85do1oQGhKAmNlFvLWhtZX/5MaEYjuHKkqyueqTD1mwclJ7Bu2kr/B/JFH\nIwyb1KDNQSskv9suuBpyBJGNfnBN1Arnz/lyH4pNIv+2BnO/W2UpyrZ9JrSF94yVON7eSek1Ym8c\nvtxNQhhPiGSLYvQL5UxlWwxnyULowNSD5gAweFkWRVsyBJwVkKe8xLR7KPuGcL50h9e/uhr7iHAQ\nlOY25OQkpIxUFM1BCLZ6sObn0nqFCLQL7ztM+h/FOSCtELrBlsYjKBMTKP0DSFqiUEfHzCU7HDgx\nnTTdkekZQBkdJf3eeoPcbHgJnHGrm8SPQ3tGwt8aTAQz+qGvRlk58lMR2OX9rB75/SwyH4wy5lQ4\nWZyu4x373CaGXi8j8CnIpwKMF9lJ2xGCyOlJlHVNjTx4juhRDn/uldvFgXGo1oLq9zH8dTdjlcL7\nKr5xE6Ql46sWqKzYFA+lT34b56BkOFDW3wyhXBtPytmHONrKUb1ew6l09Irv856xks6LAzgORpOj\nbVV6sjectwOg6etpnFHxOfHDxB56Rxfz5dw6gxU36PHQUztpkH8aY3FpLQnn7aTjhwI/ml9vZ/Cr\ny4keESd52o4AkxfVkvSXhhDJ0OwsZQ9Gagnv/NGfKPvn5eKHq52CCPCSzaaecjU+hsGz3EwIJCep\nWgAdHmR4Ux3YwxIVWb+woALFD7QYidcoQmfze4v1vhKF5Ecb+MOPxD7x65PPpfOCXFyxQzT9dKHx\nvM5/NMiv0/cY5HHFdGCpquTNN5/htAu+Kq5H18eePVrX7L9noV5MDe4ftk913yzWQ/Z68XPBRWZS\nxaFnMlHeCp3xeuBw6Bpx3/kvrsTRN426c7+RZEz+SLzWc8EqRhaIfbbwqWmUOcm1oFMEiK3rBKQ4\nbUeBKCLMhmZq+Dq2d4qkv/W9VjwXrDKCZ50jROcIAEj5QMQoal0VIwtEdiX1aTGuCfvGjMJC7JIK\ngsDUhWK9x/x9E5ayIpQDjabA1t41htLYYjCXe9auwhtvIfHD0P1Y4mPxpFvwx4j1KZcUojS2EDcn\noOi6vo64I9mh/t3URAj7Lp2r5NDPk3DuFhtPzgPi2ucmFK35ufStEUFJ2lN7jDakcKZ0fW433yPu\n0dFvIcbvMwXQAG3nfkohiwpKtEUkCcK4UKWG3Qx/3c2MRjifd58gvHQOhZ531NvbxD5RvxtKi0wf\nO3yW8MUSnmgwzrDUc4Sv0v5LNyX3mwPVQEcnY5e5UTQ8f/LHGux9wuwjBXcdwIZ539WZsuVscQ1K\nU6tpLlqcTgNRqBe7rLk5qN0Dglw2rHjnTYnGFnZdABN5VlIfCiNVLC8RfuicJHs42S7aOaj7b8ET\nlyFP+Exw+OD0tJij2/cj94i1kLx1L9Nz2sZQVVNxKDyA1jWhlcPNKPsPY3E4CMSI7w4PoAHITMVT\nGEf0q6F93ZcVT+s1Aompt+YgSSj7DyO5nDR+Rewd0atFrCUPe44q5vwfVYkON0mSbgJyVFW9bu7f\ndDbH8UtriX9KYzzUKpGS1crIpSvxnDNBzgX7BeOeRl40t7JpcTqZOXEh9je3Ev9xMuPHD6PWVRkV\nh/Cq9dxsim5zpYtMEglz2YprFiNPij4FOTWV5htKyH9zFstHO02Q2bnwWf27h77lJv2fQ0hTM/Sv\nyWUmVSKmW2V4McR2CHmA8Apm+P9nzqvB9fa+CPZkPbgOZ/MNr6JYC/I4eGMmOe+oRL+yxYAKt//K\njT82SHqDRMLLuwjOzjL4bTcpu6axDk4I57W8hECSy1x91zKa8oIyBuqSsQRE0GOQYJUUQpQV5WAT\n3jNX4ti4E3V5JbLHZ2T79HH1rVmBL04m5vnN/Lh1F+vPulAEFFqld+xyN44RhT/fdv6nkrm8rlD0\nKuoblVxZyqFbYim9XDglejVy9b5J3rruJCxeBcvHu4QetgMTQYa8sBxpfIpAV7eJabX3lUqUzYk4\n+1Wjr3j0q25snqBJwkw3vc89PFDWSVP0g06KstFz7Qqy7ttO37eqGV/mNYLH8PsBjZlwSszR4W+4\nGS+Fkl/uMwXhE5fUEveMWWrIe8ZKrNOKKZCbPbvGRLxxNJs5t4a+WpnSh3sYOCmLpMcE4mE2Xibx\ncQEnT68fi5AhomYx7efGkLJbxT4WELrQkkTzE0spWz9DcN8hw5HUJRD0MTT6krTKa7jcy9yKvM7m\nq7Mg62aJjWXm+Arsb27lic5PuPQr3zWy/veN/Z7yuNxjRz987S8wOGpylvR9Sde6Tn50kwhgDzQa\nsiHByUl+0LKX3x+3GtWvBZRallpeKDLj+nqSVi7GMiqqx9NlKUbWWSfUiuoeAX+AQK/GYhlUaHx0\nBXmvmolV5lYrJi+qxdXjNfXS65URvcIc3TsDW/ZicbkM50K/v7nVCWtmBn1nF5oY4WfOrSF2l+h9\nDa8i6wylUd1jzBQnI/uCDCwTpCzBKFGBoVboy1u7hgl0dSNVL8TSpH1GlFUgdI4iu2fNzhL3uCKH\n7i/6Kblsp2kM5lMx0O9BDK4qKl2aEzZWnWZC/wCoVksED4GlqhLJM2siadT7b+/fsv5TYa11ZRzP\nxd++weTQ6Cz3Ortp1upOLKeaq/ZN967C0S+T/0oIHSWXFRNs6zQhNyS7naY7l1FyvTnAmI+JtfHP\noh/2o8/fw9fzjje9ZnrtKlyvb4+ofHf+pI783+8ynXXTa1fhahdzfKIsltjnNtF3XR32MbGHhRNK\n6fNe0nvhNeQNQFRLr4nNVVq2EElV8Sc6yPq1cCb73RPzohO6b65DXSmSLzkX7Dcq9G3rxTouunU7\nUpSVcGULEMGw75Rxci4IjY2uDhBugVOrcbQJp7TqxVa2L7OY7mesJJrExxuMqlTb1SXccvHfefb4\nqpDqgpYgKt7qoGVlyMmu2+2jvsrGI0c+BuCydd/D8fqWT2fObW9Vv3bnS/Oeb+HXodZVYW3sikAp\njF9ay3ixhbyfi/NVRwQOf13bH/88v1+lzyWdKCnQ0YlktzP2RbF3yP75iezmfo7F4UANBOhdV0P2\nBrEX/StpI71nWd8rm++upeJO8fpAXz8D36nDNqmGAivt+nVmdHlGJeO5QyijoyZkSODUauz7OiNk\n5vQgwZceg61vUvhHGsmeNS8bZr0EPdOmMz5ccnK+3+m+9FyJVJ1AVq/Id55mMyQy/5V1v7SQ4I54\ncn+lvVZVIxBQRDsItLZ/KnOua7pZvSLmFqhdghQQCTF12z7TOQQiWR216YAJLdp5ax3Z/5whaLVg\n3yf2QKV/wOTHgdj7pBmv4VsFT1yG7XAPwYxkw7+QK0tRj/QY3xkuLWl8TmUp3aelkv3WAAxoSJ3R\nUXF2jIwZ53rnj+vI/dX8PAZ6QjfhiQZ8a1ZgnVYYKxXnoUk5Rz8TOwZQZ72heEkrosxFGUh2O5YY\nF6QJtmx/sssk3aufk97SDNN9mbipNLMsqUDyBpguEdV8+4ateL+wEsegRrqp+QJyeQlKokg6eXKi\nUSWIf6fRFNtFtOkNDorCpZacUGoWYPloJ1NfWiVkM5lfNky3+/fcTdminP8MiStJkjYyPy3Abaqq\nviZJUgZwC7AMOF9V1aG5L+zvGFTHByfwZruwd3tQEl2oKQobf/AP3nhEsAFNr11FzNv7UCsLUbft\nMyBPwROXYesYpueMHNL+VI+1II+2y3LI/UW9YHz2Q84746jb90cMajgEoOPvi3F8HEtCk5+eE6wU\n/qjB0DlT3VVIqsrwQhfJf25g/Cu1eBMsRkVWOXm5AQUKnFrNZI7NOMT1TPq/Mu8ZK5lJthLb5TVB\ninTY+OBr5SL7VbsE68CEgNiEQeqM+9EcPT1jNr12FbHvH0IZGxdwmvZpmi+MoeTZCZAkRitjSTgc\ngnTJiYkc/G1xhEzH3MqnXFmKEuuALXtpfmKZ4XDqZs3J5vD1uSTtkwyymLkwNxBZyrvOeJqHy4ro\n+lEduW+OI49N0Xt6FqkPNPC5v32T809cQlT/FLN5LhxHxMYUnxpHen7qMW26PcMT6lTbYAjuarHg\nT3Hy/Na9/Nczu3C+tJmOn7uJa4GoGZXBZZJBbKc79B1fEGRqXbfUIa8aJfO8g6aqJ2DIknT8rI6i\npwdQO7qMjXnom24j3cB8xgAAIABJREFUgNCTH3owqLcc6AFI63o3C92tHPqwiPzbQvNp5Eo3SY+F\nYKR65XqujvnMxkKmXs4wKu7ha0EuLaL7rAxcvQJxMPWlVcQdHCe475ApaQWYdAXDre/6OrL+vBcp\nPcVwOOSUZA7+stiogBtyD6PjxkHRtt5NweszRB0ZMg6n8GA9nBVcP/QHvlNH0mEvjuYBky53uHnP\nFMQmGXfXiwzu8jJxGIRV4EEEhgnvtRgO0BlXrebMq1aD3Y431UpxYj9djUnExzmOec7194yq4z0j\n+NNiiBoQAUAwwcVbz25hw21PGFn7qCwP+RdqJHGvCAhj5nkHjSSjb40IRHxxMhvv/gOnXxfKS9om\nFZF8CDN9DvZdJ5w2Xzzk/bw+QlbCf9oKovdrTLNzHC4QhHXZD++l+dZFJvKiuaZXDXW5Cz3gmjmv\nBlerdujF2JHqdxs6lCAy2uNfqSXprSbTdU2fv4roXrFmpIbddN9cR+bH09jaBkzXalkkqgaWqWl8\n+ckmSRDTOITJ+oAgDExoEnPCxDQKBnpkPhv6pttgCU866KXrZJvRdhQ8YRmdn3eY1qp+TjQ+Vk3q\nh5rEzl8bWP3AVaytqwSNoVQts+GdiSJ9Vj7mOacGutWmXZFMpBseecc4W3XT2ybCK6lzbfRrbqZy\nJRM0vHW9m9LHQmoH8znsIM7w1BvE3uj53CAtv6tFUiRy3hVJofB9RreRK9wktM7S/DULxY+LPW6s\n1E7KxUfgh4KNtvtHCp7uWEq/u5n2XwjnUq+OhUuHtd7ppuzeIwSTYum8XQQdfr9MwUV7QprpbR30\n3VBHUMaQ+krfOmUQwrXeJT5//XlP8cjCCq4/KBLKd5dUMnGxaLmaLBBOfOkPd/BWxxZO+vpV2N8U\nCYyuW+qwjUPmh8MhyOg8Sg0be3bx+YuuMCVd9OSKbre17uCWpgsYf0u0J2TcXR9RBDhxzwxPvHhq\nhNThKXsv5oKZKuPn2UInjh6F+Dj7Mc+53sFxdXxsBsu4B1+GICiy9U2x4ZF3+Ktt2vADhr/hJq7d\nx1ipjdFqMQcSdtpIu79eyJNtEnuyPq900i3rx/uMPUVPWs3mJ9JfYzcpF8w1yWql9ecrKb23zSCR\nCi+y6Kb7UeEtZXJCPFJCfEQCLtz3AzHfsp8OnY/q+ASSzcaMuwzHxxqPjJ5c1KGvVTGR1bajWOeP\n6yh4Qex7ak8/s3XlRE36RWIUkTiYOa8G21gA2z6x9ylDw1gWVaA2tWHRCA2DZXkEo+T5C0kaszRW\nq1EtDK+ai4sXU2R6bQ2u10TiS38W/vQ4uk92EnNEJfWf2nnS1sF3j5zMOeknsHdUJB0cRzz4MmNI\ntjvITIk/pjk37utX+/dM4U+PIWpUW7g+/1H3OeuMGilhN2cuDF/lxtUrzgVX4zDTJUnY39hqILqC\no2PGswwnJtTb5sT4hFpCw9ms/aetwNE1QcvF4gzW96uB79bhGBb7R+KOIRgaIVAhJPr0JCBgMHGT\nloxysGleqUAIIbHCk9e6WWJjkey2iDgi3P+Sk5PwVhWiagxoYyU2pCDYJ1QjSayvAf/qamSvxrL/\n0U7k1FQk2UL/WWJepG4aRbXLyN0iBAz09Yuk+eYOExpNR2xYNbUK1R4VsT8OfLeOtPvqTTJl/tNW\nYP/koClpcvZNF3D6l1ailIp5Lzd5CZbZiVPiyEqM+8+Ac6uquua/+XsfcJ0kSacAbwA1c18zPjjB\nupqbAZFNnCqKMXpG9AztTJIFp8cD2/YhrVzM1IQo9dtaBwl0dpH5/AwKMHByNvm/20UQiOlSGS8G\naX8LKuKh6Y4CgD8zDosWZ+hOK0Dhm9q1axu1vtGkd2SgpqYKjeqqSiS9v0bbROXSInh3OykJ8QKm\nUbvECKCP1oOinLQc+xtbsayujujJSfz7DpTjl5J4j6Zhs2mPAa2Uos1YP8luNw5lfeOL7p9FGRtn\n+Co3aS+ITGfx1hBzacI2TVZHyxAqo6MUPRWZhDH0XrX7DZ/QegA9e1YNznf2EJydRY2PIXU7xD3T\nQOCdPBxf8bL8sj3sH6tlOt1iSAtkvx/kJsvFlLKZnF/Xi2cEpD7QwezZNfzz8ofZEKbHqNvdXfcd\nM5mjzdXDQ9bb2P/lIg59N4XSa0POs0454I9RSXx8E9bcHGL+3oU1M4PhUwqEBMojK6m4TpC12SYg\nTWOMnX49A+vZKThe32JiXNYlPqRlC2GnQFSkPBzqP9adUvueIzQ+tYzYBhkXIGemg8VC0c0NzNrt\n5HsbRP96axfKxATeBHPPa9qHgoWbwVGxgUoS/jgb0Wu2E00omx7o6zfYw5XmNjLuFs6ttUBs2MF9\nh7AWFdB4noWKPqGHm3ZfPZI/VCWSU5IZOb2U5I97yLinnoGw6i9A4w/LKLu6gZbf1rJgZTveEzux\n5udy6NYySq7fhFxeQtFzE6g79xNA9IqWXbGd6Ld2YdGSAOFZVd0xT/uTqDqqTgeO1sEIcje90pyx\nQUsqPL6FnhOcJKWuoutsxeht7PxxHd++ZAP/eC6R1rvclDw9zhthh27v9+q48Gvv8VGVg/u3rCc9\nP/V/Or3mtfHRadbV3GxChkyvXUVMW2Tf5mf2/469+u4ePrhzo+GgB97Jo31vFhuPO++Y5xzqCOtq\nfv4pXOVn9r/JXunawntfeMb4ufnJZZTfPsYfn/7WMc+5sckZvnXD37C/sTUCus26un/xzs/sf7Nt\nG32bs613c87LguiwdN1mum6p46WvX0xmSvwxffa0MsG6mh/R+/06cp9tB+ZPBH9m/2/Zm0838Ppv\nXmTiTdG+EfeFFmY2FvJg5ffJSoyb9z3/UXBuSZJuUlX1N9r/C4GtqqqmzH3dwZY+9drSa7Dm53Lq\nhv08/Yc1JD/SQNt6Nym7VDzpFjLu3WwQ7UjvZRMT5WXyhFBRWw9GGh+soeQpwRzc9eJC8i5rE438\nDgdSfo6piiYnJnLw90WUX70PSZZNcDGdIABE1iOx0Ud006BR2dC1hQ1yjF+6QQ1llI7cXkfhc4MR\nGZS5RC1yWTEDn0szZSLHLneTtGsUya8I2vgw6n1tYI3AyVJViXqoFdXrNaA44dlRve9PJxDznrkS\nx8AsU3lOhhfJIkM9pzpnjIFWrey5qc7oZQlPQignL2es2I4/RsI2oRpaxMNXuYnr8BO8cQj7ae3i\nOpdUMLI0kYS/NURUtmfOraHz3CDRLTYKnu8XEG4NOqdXZsOJnj4VyNnuI+q6Zd/nlpY93FG8xPS3\nX7dt4as7ryDvFi/K4WZGN5Qy/VEq2evrI2Ar3S8tJPv8/RFVAv3ZSL4Ah76dZArSITRfdciQnJzE\nzIoibBu3CSRBdw9yUiIH1xdTedcwZ766ldcWJBv96+GQFj05ox63FHlnozGPdeiqPkfn66Xu+UEd\nOfftYvqURXz/7ie5//9r77zD26rOx/+5kmzZkm152/GIV+xMZ3lJCishxJmMkEIIeyTsvSmrUCCl\nUFZbdgsUKKVA2RDKLGA7zt6JHa9473gvSff3x5GupSS0SZxvmvI7n+fRk0i+Ojr33veec973vCM9\ng/JHbZSe9yz5cVNFDEzPEOrarcPu5Pu45e6Lbsp4lP4hn2fN495f+koW6Ret0+o2g3B3NbT1sPPq\nCGJ/VAiq7kMp2ETlr22kvdmq7ag7ZmVhXL+bmlfi6GoI1qy9l5ZU8OqcE3FU7tHKN7VfaNO8QTqX\nWQn/uoLBMaM01ySPi3zrZTai395G+8IJIsYdqH5nEolLhs/vSCUW29Jar165/gmfxD+A2H39rETb\nnR+/zsCOLActH2X4ZMffNy7Ug6fMi9I/SGduAl0JemJ/HI7xVddtQz8mhbY8YXryhMx4o9qmUHqh\nkbEvCdnpSg0i6O0iFD9/uk4XnheGfpWAj4oPeP+9F8sH8pLx4LHitx+XSEDLkCYDgOY9UfKCcGnM\nWDHsflx3q9vt2D0O6SdkoPoJ42L5klCCq/aPnWq91EbUOnEdPO52ncus2n32TtKjlV1xeyZ58hKo\nuypQBwbELvo/3e63TicVd00j6d7C4URpmxr4pOBDbfdWHxJCyxkT6RgzPCfAsKFo32tSdW6ScEn3\n4vc7n2ZsxqgRu3NfnXsHK0rKeSFD7AgMzM9h7P1bqcwdLsNyINdrTw3U0j/kUX7G84DYna76lZ34\nf4ndnp5Yv/3kaTA/W+Tq+HwNPZ+7dwrfiSHipUKfxEyurxLRnVxNyUvCsyJgj7/mwutJBNRz4jiM\nrQPsPjsQ1U/sciR8qWB6b7VWlqz/jr2EB/ay6/sUgtwe6eHbRViVPiKcP6z/EIALr7uJhjw9DrOK\noU9cVmVI3J+2j8VOUvuucALrdfid0EpnlzCnXjXlO1ZNCvHplyfG0bNrn/ru5aRfu5qau+z454nn\nOPo0r+SaXvkI6m6z0z1+YD858Llvz+Uy5vVBbbzSR0bQMSudtvE6n11l13FTqTnZbfZVIWqzg8D3\ni0WiKkCZmA6q6pPo03t3/lflog+P1eZzQWwBaeZVZMaOLLFYadceNf+lv5Py4QC6Afe6omizT4lM\nD62X2tA5oSVH3NvxjzXsn3gN32fV46X1U+jdybmU8DBcwYG0ThOVGcJeKWRgfg6mwt0oRuEJ4mho\nRMmaiOJwoWsRY4Xa34+ztU24i7pdSvcNMRhYkIN5U51PXGf3WVZCdnXsH6aE2GQwF7njlAeHcHZ2\nat4PrhDTAb8D7h3ORvfOXUYipecbybhq//KDHnRmM0pcDMqQg4Y5QuYiXygUMaf1TZTfLHYmkx8s\nRnU4tHCO2NUD+3l0tV9oI2xXj+aFAcNJxDx1l3VxsXRNjqYj2aB57DhOzqIx28ioH3vZfZ64zjHf\n61BUtLHXu63HG55hcvTIk9ldc9XrB1yX/FQCq/+EYjBo4VS9tjHoBl30RflpcfE+uN2mKdqsucCD\nmNs9tYk9nlnK2FSUIQdqVQ1KkIjVHcxM8qpq4t40czlBp8eQ5C7lWFEldm6L92g6gePkLPwLd6CL\nicLVJORESU4QHqleOkznOVYC2hyat8+B3Mw96KOiUOOFIa1luoWo7xuH693Pz8G/fRBFVelMFeOO\nbkgl6O/CIJL8Z7eMGwy42tpx9fZquSVM1d24Nm7fb3e858w8cN99U/0Ahr19tOSEa3qGbuoEVL2i\n5fupeGsyo583oP9mPW2XCM8gz2ZL9y/ycPmJxkLfE2Gpqn0K+h6xIeratAPFaOSxqsd+UuaONSX6\nGWAQaAGmAG+pqvr+vsdt3Vur3hh+AyCyb6ecs0lTnjwLq7pb7MQ9VkDLCht9UQr3XvBXfvXmOVjK\nXFhKeg6YzbP01elYx1QwI2w3n5yajdInkpk4G5uoeNgGOki5Y/+kJd4Km3PmdJxGPQF1XdpEtOd+\nO6mv1oqdgwNc76ar7QyEQsrLIjGI96Slz0ijZmEMoWUO6o7Tk3arOwPw2VYsH2/B1dPjk+hLHxGO\ns7UNndlM//ETRB1bsxnXxNRhN+xQC722DM1lDHxdMpRpEyk9P5iypc+RHzfV5/y8F7ye5B/6sWMo\nuSyKtFsLNQW65i47CQ8XiDJFJa04S8t94sR0k8dROzucuKeL0UWEa3E1AwtyqL9ggOSlW7TMfB7v\ngtbLhFtN+Ke72PFQOhlXFaNMm8ju84LJeLZx2C14TAq7Hwwh5ZxNtF9oY80Lp6D4ZY5o0N1Z1qBe\nm36tTzxUxSM2zWUbRKzUqH+UU3VhGn0xLi377L4Zd7uWWrF8sk1TUEufzsNUpyf+0dXC7SY0GGdp\nOa7jpvrEl8CBJ0IYHvi79tmJd86cTvUso8/C3Pt4b4ZmZ/HxK8+yZNqC4RiSpBifiaZzmZWwL0rp\nzUvF+Imoo9u0MA1Ti5OWTAMpb9bRdNIo3zgbN43X2THXO7Gs2kHL4olEFjT5xEsaYmNQwy0+buUl\nz+WS8Uo/FG3GkJhAxUWjSXlRPCfeLjrBNS6C3i7Ssnz3LMmje5SemGcK0E0ZT3daCO3ndRO/WOzq\nt2T6E/9NB84gf7rjjIT8tUhT9mZt6dGS8XiMSvvGO+1L2RvTSHjDoMUTH6n41KuvexOKNu+XFVk/\ndgxKh5Cfn4rjMcTGMDA+3sdjRT8hg7Jlbpewu0UCuvjvnFpCn9LXpqO0+DP22SYqzxYuUxPyS3wM\nkCDcTAPaVM2TwHuS9WTA9WvsZCgmhK4kIy53xtioVeUQYKTmdDHRJ/ytHEd9g2ZkBCGHgTvqfXYG\nPOO7ITWZ/mTRf+P63ZTdOoHIjWJBHbKjA2eIkZbJJh8DlSExgZozRw+7WVsn0xMfiKFffK8j2Y/o\nPxQwmJ+Nabt7sVFdA4oiXPbcbnGGxATUAH+fWFfHyVk05hiHd8688GQa3rMAogv1IpmY23PDUbkH\n66Yh/v73EwFIeXUPXdPjCPygeP+Y9X0qSnjYd0FwJGSuqqdcTewSzmIeBb/pg3FEn7aTt2sKOSf/\nIp++Dc3JRjcorqP+2/U0XW1n7yQHhk6xsPPMGx5iCkP2yyzvHSbVssJdq/a9EhxjE+kdJdzqzO+s\nRh8ZQeltGfu5czddZWfIXeQz6dXh5FqeMIaOVD9i3961X+baipU2LV5zcG4O3/zpRdLevkKL1QZh\niBsMNfD974eNAiDqZANEprShfyPCZ7HvcZVUZ0xl9wp3XLJLISq6k6hrRd/Vjk6tP941wLVr4qV8\nV6y0MeaxEh9D04GyoAOUPiWMDoGNOrZd80fy46bSdJVQfG687m3eGJegHesdV925THzPuNeJzqHS\nkexHf764T6FvBdEyVUfKe50+iSgBvhi4d8Rz647yBvW6Mdce8G/eMaqd51gJ+WuRZuD34J3TwxtP\nfemq+QbG3CASdY76Xii+/bGm4XWGxzV/n6RiINYS3ZOitN/zyR/iqTG+Ydvw/OCJNY6J8tnM0Ken\n4ogKRinY5DMGKEYjir+/j7FaFxxM/cWZxP/DHbbS3ILqcOx3v2vutJP0nFCm1fgYhqJMGLqHfNam\n3jHLHgWtf1Eu/aGin56Sqz4bKZERdJ40Rhge3G7YeksI+PkzNEHIj8dA4b0e0ubK4GAUk/B8rD5/\nDImvltJ0qkgE5Ynv7l+Yy7h7RT+3r5xMzRyVhFXKfuExINZHAOnXifCLD5cuY3zayJTo+r4S9QLz\nL30+05lMqBPT6Eg3+zzPAwtyMP1YosXYegw03WdZGTK557V/Vu23k13x1ynEvmXcL/bXW2nedx1W\nfbedxF8X+K6VvdZ8Plni3TG+3uOG97E/NW94aLvYPX/8+adDAzzx6L2TE/BftRbFaMRhF3JvLG2k\ne2o8qgGf59EnrCEinMHMZPz29g/HgY9JwWUxCWO9283c2T5sxFemuQ3S67ahT0+le4LYRw1oGhBe\nvt5Jbk0m+o+fQMB3W7X1mbfh25uBBTm0TBIeyfGPFjI4J4uhYL1mYDugi7ui0L8gh5d/vZSMyQfO\ncXNMKdEHS11Fk7rhy80o4aG8Y9pD7Vkf4urpofqXdhxBKoYehcQvupg/JYb3Gjoxl3dAYwvOllaf\nVPU/hXdmyJq77ESvH8L/8zXkFF3M3/+5k+R7ChmYl4OpUDxYhqREmmYlEP5nkRxF2VGGq7/fR6Ex\nxMdRcUmy5oZbvtLGNWVm/lHToSmzB4p1guHByZNECvBJGqX4++Hq6WH+yov49I5X0EdGULV8LKOf\nWE/r2dMYDFFw+Yk4AH1EON3Hj6EvTC9iYfdJDOGh77RcZl00jS/e2oSh37XfQADDGUMVgwGnddJ+\nCp8hIZ4Oa4ImpPOXz+bTF7+k6gEbSfcWirJdAQE4amqp+pWdpPuGF6K6KeNRDTpwQXtmCG0TIPWO\nQi0uuO42O6eePo5/vrBDs0D9pfpHfnHljZz16Gc03TYH66JsOmdGcIIaS3z6yHZoakvr1Y3figXE\nvnUFPfflL9U/8sbfXubzW/70k+144l/qbrNr2cU9tF1sYyhI4Y2bH+eG865E98NG5i+fzedvrcbV\n1SUs6u+tBZdT2/X3XgiCMJDUXDJRc4HfF889MMTGMJQiBkilcBPdZ1npWNpF0i09qB2dNJ0xloiX\nCrVM1Prx6dDWgbOxSbsH+phoZt53Gl+9XIC6bpvINrtUWKH3TazUdLWd2B/acW3aQcSPYbTOaKfu\nHxOIeMnsk8Bo/vLZfLyjBRQFfeGWAy4UPRZT7zjuq0tLuP6bc8VupHuQNSQmMGfuOM3delXdRk45\n6yJOff4bnlh7MiFrA+hMd5J+3WqfhZn35OMxxnUus9IyReGa3Wa++GKXKFOxj1JtXZiF7bRcVJeL\nqSdNPCIyp8R+x8YPEih8+wcfmSt5ORsGxAL9xpZxfPrhepStu7U+NV9pI/rFNQe8fp5ERh656Vxm\nZfINIgSlMreP+ctn88VXu2m1Cfk40E40uMuKxQqFlrJqbSHoHdvcd3ouZ0aF8IpRTOyevBAeJaHP\nPhb/z9fQd3ouplqx0zkU4u+TnR2g7Lc2zYDokeH9+pMQjzMqlPPf+pw37O7kXH39OKem7xfH6O0i\n72nPW2YNKUmore0wKtrHQ0LJmkhvgpmg0r2AiGnbN2HlopsX88lXO6mbKXa0QksdmH8sxdnerpU7\niblHh2vTDvFcAQOjQqi4ANIvWkfHuVbtupc9ZuXaXUH8RRWKRMzX9cOL/dxMrMdlYJsQg+p0HjGZ\n23ecq/vHBOLO2E7JS9kkvSuaPyPB4vNcwYFjosG33COKwqraDeQvvmB4xyo3k+NvsPP9sudR3fdt\nMMwf89aG/UqOeVP9SztDFlXzgvHQeJ2dW26w8OoFIsmTZ17yKFXW3xSzbprOpwziqrqNnF6aT9+J\njdrCzjFuNMqPGxmcm8OtL5pY376K7yeLHbXWy2zu84GIFwt9YuFLX8nCWGFkypydtM9o087b24A+\nf/lsVn1bTvPxMQc0OJb9VrQfm9mIeW657zU8AB4Z9uwUJjxSwKq6jfyuLZW//HEuIMJaPIv0f0f9\nTXaW2DNZfevn4jpUVPG7ykIWfn49GVcUY12YhXVRNopez5Tjxx0RmStsaiFweyMfBvfwTWk5g2FO\nLLv0xKzuhI1iM+KEly/hh+v/hnNvByV/Evcy47INOE+YQkNegOaZ0XyFjVGr6hgcLe5j+5gAIl4u\n1LyOQCyoz4iz8F59J8ZWMdYPRBgxF+6m+VTxjHrWid4KzZ577SR91kVrZhCRb4kxxaO0LLh2IZ88\n8/EBz/GnEhQeCM/OueeelryUTcZlw/H/AwtyCPxmG67eXi1xk2oJYve9Adr8C2KjQtfUjitaJGqa\nm5egPbMez5n2yaFYdvdC0Wbt+dg3RwYIz6P28SYs5eJa6b9dv9843HS1nZiX1qFLTqQtWyg+gyGK\nbzI395qx7M2ppC0Tz6XHW9G7Pc+z6Sn9Z12YxfiH52MpbDoi41xV615163trURaYWH3HJlb/c+sB\n18Hzl8/m72eWY55ftZ/3Zekf8ohaLeZgy+5e/Pa0aEYHR3XNfmWUdFPGMzc3Xpyj+zjPmKAl2vyg\nGP34dK1cGIh51tnSijIxHV2rMGw5amrBOpn5mdE+98Db2O/9+x7DtqGzn/ZMCxFfVeJqF3OY9zrG\ncw88440nn8+Q2YB/xxCGth4fHUUxGtFHR2nn4aipxXXiNPzqRT/zT0zhndau4SzvXigGAzp3STBX\nQjS6gSHU8j3o4tylNMsr0YeEUHWN2xvizRryLz6BT+573acd1TYFvz3NPkYM7zhzEMYvZ2zYfp55\n+U9eyqobXtbe77nPTsqbDThLy7VxDvi3Mneslbg6KLpbu3jy8uepeXci26a9QX6PmEATHy70majy\n31rBp6nX0rTcRsSLu9CHhWGpEIOA94JfyclEXbedEndpqeg/FoikOP9s0xJPNF1t5yLdWNa/+QN1\n7p3fdrfFw1FVTdT73ex6wsqYG4u0GGL/Lqc2APdmxjPqxwEt0VLqHYUsKF7Jp+7YbkATzobr7cQ+\n5TXRxURSedtE0l5tpOuMPIK3NuNctw11xlQGQvwwb67F1dPDglnj+BQouz6D5HsKcAGRH+5ECRUL\nVgfgTIunP1SPpVJch52/TSD9giaxcAizDO/m9rs4Lz6Fwr89T88SYQncN2tx7awQ4taCLmU06g/D\nmUx74oygQPBbRZjfqaVrqRWnv8Lc20/j0xe/JOm+Ih9jRs1dvgo0DNd21E/IIPS1QkIRlqLo1zbQ\nfq6V2NV9XLwkgw9id+KuzMfiG24iqLGXDydEAOv4ON6fyMsLySpeeZCS9dO0WhSeSv+YwZWjsD9a\nTE+Anb//7nEebJxN5QV7cQIryhez8tJM3tpkY3BJO72bw1DGdpP8G5dmwdf1ikE3/utOKv422adc\nx2CIQvzrO7npGRt7Hgwk+QdY4FngZ6RhbHeIzMheLp4pdxRqih4AcTGM+l2BmCR1OuEO43ax9e9y\ncco9p/OPug74ZA3OiQnC9f1RG6m3FRL0NqhuTwaPq2va40Oo1sk43QteXUCAltzM2djEqXMm83rp\nNuJ2mEhZupmh2VnUzzAyepVIhKXaplB/nJm43xaghFpQ7VNonbEJXXAwcWdsFwYrr+u8YPlsPs29\nA11AAL1zpxO0pZ7KZYn0jnYQ/5WCvl8laFsj1XfbcflB0n1Cif7jsjNJcgd+dJ2VQ/BbRfRkjmLu\n7afxXn0nAR8XM/Piy+iY5MdTn88jYVIjVEcR80zxfgvL0pXTGPtwGYpep11XQ79K6u1F4pl98UuG\n5mTTHeeHuqSV8IUlVD1go9wfipY/S+0ddt6f9hP1EA6Bns4+rh77LhUP2wiN9Aev0AjvZH6zW8/l\nk3tfw2WbQmea2AGIeraQNi8XdRhenKW9Jay+SlgYe1aMJ7BJ5YsNYqKKuNTAghsW8emL12PZZ2em\n5M8i46pH9hwNjbDPLnjlr22kPDi88x34fjELilfyxdLnxHfcnzsnJAPDZeEC3y/G5c4ibPhqHfqo\nKIbGJWiJkjJ4iw2cAAAgAElEQVQe2q6V91jgtdjyJP8CcEWEoG7YxmtjE6m9QywSLeUuzbrsUdCU\ngk2ahwLA/JtO5dMXv0TpHvbwUP0MuAYGUHft1tw9nXs7GAoNYMCiJ9DLW2LfWvZzz87lL8319EeK\nmSDgiWKt7yHPi7FY3Sb67Ml0OmgxkH6RWGiElA+7TafdUuQzT7ScbyPUc1/WbKVozVaKVBXVNoU/\nHgmZc6j8ctS36D4KZ+0LYnGRHydq2JM9LHM3DNyr3QNvBdaQmEDZZaN9xvPO5Z3c+aQYz+eaBmh3\n9rLqvddIeX+FOECB30+dSEFEOE63sWPPU1Yyvtx/UetN4kPC02xf5T3m6QKs562k9lmxu+nxKvG4\n7XmyVnu7o85Ln4GrpxF9RhpVZ4owhuBqF5ahTPw/X0NG/UqeyhW1ggzxcVrJm8D3iyl5OZuMS4fP\nN/2iddTdYqd9RhuN19m1PnmTf8dpxNxyKn8em+TzuafEVnCl6GuDEk300mhCN7X6lrfZJ2eK55lI\nelc8j0pKEvlCvyIa8duqbQqKE67bLZTSp8cMl0Ys92QIv6OQUb8rYNnSU/nRy3vqpmQbGRSjj4lm\nzZpqzaD3h21PMVJ6Onp5eZkwPDuqa/BcEX1YGAt+3O2ez+G02Zl8t/cFUBRCtrhdXaePpz/Szye0\nYdRHVSJbsrv/UeuDcQFDZj2tt4j7YWpUh+cak3AzNfv7gV5Pr3uT052KCTXQX2t79AMF6JNHE/6n\nLVq5UhCGm5Nvz9eUaENKEs7QIPRtQpmom59AxPZI9N+u18YhffcAuPApqQYQsq0NJ7Dgyrms+scG\nJvyqwSePh6HHqSnuWgmj9OmMub4Gl8FA5xKx8A/d1OozRi946SI+29iIrqOXvlEigVt/mA6Le273\nKM8HqiygFG4ivFDsrgKk74wR1+/lbzTlcm/WIKoui5hnCghvFWOid9Z3gKFAP/xiojUFGiDy4xLa\nl1mZ++gCbUzxPJsxn+/BARR9vE6Tud/VPkM8I2OgopUnL39+v889YV0D84Tnl0dGDkT61cOK4dCc\nbJR9Pfuig/Hz87qWpVUsePFCsZ4bJ3bmXeV7UAcGCF4rvBscsN9GmqOhUWSb3rTDR+b02ytZ8NKl\nvgZlvV6b15xeLv9DIULV8ytpJaKrj6o/RBC/WHhKGBITUAONOEvKWHDNfL74Z4kw2On0mseBEXc+\nlg0lmgdGyY1Gxt1ag7OhCVeuqLWu1NTit6FMC19Z8PpyXnntQ4L2KR2ozpiKoawe1en2BhsfLHaP\nFYWBVPG8u8ZFYfxsLcFV4hhH5R7mz5vEJ/cNn65iNFJxqonITaMJ+9GdzcygJ+OKYq18YfvpmTRZ\nVQLr9STsU+76VHs6L97rDlEoHmIoxIWztJzSp6yUAkWXP0/5Shufdfz03Kr7yb8cy7hrkakbLeTH\nTdWsr6gqOpNJK/2ihoqH25OsSx0c1FwOx9zdhT4kRJSdWLMFXE4mPOR20/HzZ9TjBbg272TSOnGJ\n9P0qBBhxWgKJfV48zN4uA872duK/8xZxQflDZvQTMghcW47h63UHzFSs2qbQvzAXQ6JwlfFRoBH1\n35LvLqT5uBjh7uLvp7kZ7k33G7bAKApK9iSS7ynUYqqc7e04KqpwucvT6Pf2EvZKoea64ynPNDg5\nGefuCs19w3/VWpzhQggtP1Si2qfg2rRDxAu4LfWenVRnaTldS620XmZDd3+zqFH9VpFWe7Zh7hCh\nrxWibxO7KbqgIE2Bdp40fb8MmV1LrVoN1OqFwyHxQW8XoSTG0ZwNe1MD6E8xMeqUanb/zkrXUivm\nd1ejrtnC4Nwcat+bSOzHVWKXxBSw3zU/VDLDmtFf5offF2tZM1W4gFw0+jhRfsOdPKv6jVQMpQOE\n/qWQUTcPkHxPIdFvBmoKtH7sGMbcVIR+TAp78kNI+2UXvYuFgQLrZPx6VU79Xgy4yfcUapMtQMOs\naJGF+8w8kt7WsedeO3W32qn6lVAmQSysWnIicB0/DdfmnVQtChU7akODhP5Qhf/na/Bv6EbnzojY\nlehPzbsTSfhqiK6lVgzJo0VZH3fJD11AAKnPlUHRZmpvF89YwyXTtd8C0Lf1EP9RvTap+325TsTg\nuSdmpXCTFpfq3NuBUrCJvRfYqF0uMo2G7xRKhCdTMm43MFd/PwEfF9ORHUfMukHS/uZgb5qegVAd\n/SmR9CUOkfi1UDb049PFM6wIQ0/wW0V0LrNi/HQN+rYezP8Sg3fTdH9MLS5SPhwgML+CwPeLWVW3\nEUeQqmVtBEi/dS0MDYrJa+JYes/Io/ZktHFFn5GG3xdrCf/resIXCmUq+aH1Wp11z6AvkUgkEolE\nIvl58r+pRA8O0XyFjUUmYbP0JJ+wLszC1denuVf57e6n4UY7+vHpuL5KJHfmsOXVubuCiXcvJHLW\nsAvA8h8tdJ5jpemyLK29rVliQRzxciH0DwiF4vrhv4PYIe1ZkkfG8jR6luTRtdRK9S/tnKhzkXTW\nFnbcGoyzpZUZF80BRDbgzmVWzBZhAVUKNxHwcTF5J431OU3rwiwtfsaQmMD8ZhE7OhhtRinYhHVh\n1nAs9MSxmMODUddupfS16ThqakX/cjMpfW06usgIrAuzfNxLPP1vu8RGR4oR68IsHPUNmouhKdjI\nnr9nimQaBZuwLpjO7nMCtFgu68IsnCdNRzdpHMFvFbGgYRBOHo5NOqV7CON3sYy9QiiRnvPtyp+g\nfd9j1Ch5LhfrwiyarrET/FYRqdfvxHbd6Zqi3nGeFevCLJT+QaLXQOLFuwkL8MOlKuTl7cK/yyna\n+yaO7jgD8Yu3kT1tFKfsWIQjUP+fZeo/0OdScTW38khdNKvqNlLx1ynoo6KwLsxi57Vi5yLyhUIc\nkcLw4NxdgT4ygpkOYchZVbcR567d4hpHh5D4UAFqXSO5d0aL0hVFm7Ffvpb62+YymJ+N6/hpGEqF\nbLqOn6bFeJ44MYXZv/kedGDcq3L2mgHM9Sq7f2dFCTIxr3UQ3fcbMKQmE1riIic7Ed3kcVqtYLPF\nREeqsKybmhzM7JyGaXsDlu172XldnOhfVTVlj1lpPn8aatmZAPQmOtEFBHDqHqH0ts9OYzA/G2NK\nOGUXCsNLz5I8Mh8/FxAluACsN51J2eNWzX3XujALQ7+quZsfZxIush4rZUBkoI/x4OQBUf9Z/+16\nLDMbmDfkj+HrdWRcvoaeUUay7l/KwKgQDClJGD9dQ25CIH2n5xJUO0D/olzMFpNmFR399CZO7ndo\n1lXd1Anct+JSUty7L5UP2Zhx6Tyq/zZWi3/KSQnC9I/VpF+9mogXC/HLCMNZUkbdLXbUgQHs585i\nRUk5u34/me7PU5lx2TwaTnGAfuQyh6rSuczKgpOjCHulUNuFzr53Kc6Z01FyMlFyMtG369DHRFN5\nmgnL60Xk7xX32rML7XnOze+spvUyG1ZbGsrAELtvH0f8bwqYlZFMwuc6Ej7XEV3Qgsug01yyAexL\nRdxu4gd6Ej/Qi+csPVUz1FkXZqEzmeg7LZfkuwsZ8/wvqLkxS/t+YHw4jvJK4Z6Vnor98oXCyFK0\nGX1UFHm3/wKA0ov8KL3Ij5xfno2rvR3/0jrUGVPJu/UX2v1Q/Py1cQREaQzrzWeKRC1OFcesLKwL\ns4hfWUD8ygKC3i7CdoaV2jvsKAWbtHEToHd0ML2jgzFZAqj+pZ3uzFHa+bQ/BfrwMDrPsZI7exKq\n21Bm+Godc9sGhauk2yVyxoWn+Nw2s8VE6OvF6DK60WV0D4+zF9swfrKGExWXqK0JOOsbyZkWp8UC\n1t9kxxZh8Ckl432+lrJerAuzGJifQ8UjVioesWI9NYfKRSb6E80HKVj/hp4+1mf/jQX1g0wsPJeJ\nhefScIOdXyYaMCTEs6puI6vqNlK6yeTzNevCLDrOtYqdxPsKmHHZPK3kiO6TMIpX3sQzc+YBsDTR\nzpX/+i0ZVxWTcVUxf57zEkNBOurOHYc+Iw19RhqXzAqi/6NRWvtZ9y8FYPRqs/Ai+06MS+Fn1+D6\nKlG7xuBOcDYhhK8zzdoutG3JDIyfrNHcea2LstEFBNC3KoW+VSmcviGTun9MYPxfK0h4pIAlWwZE\ngp/iLeRv7RT3QFEYzM9m5y2jOW5KKroB4Wkw/pYypj5yDm2X2Gi7xIZz5nROyBQJ0uJWNRG3qomx\nL5ynJfQDsOj8eHnF6YBwXc2562xKns2lcnE4lQ/amBubRHCNg7RbhEF66tnD52dITCAnb7TP9Tdb\nTOw934YrOABXcACfrB2OsR1YkEPW/UtRCjeR8EgBC0z9LAiza0nbAJY1xZH6XjeD/0xC/00cpgm+\nmWitC7PoOz2XTzd8wacbvmDMq+eJPzhHbjBUQ0w4qmvInjJcQ6N3cR45M1L58KKTGJifI3ImuNc/\nqCouPzhhcir6mmZCNjahmzpBkwHVHIjqcDD14XPoOTMPJUYY4vMDg0l8eQeJL+/A1DSk/ZartxdX\nby85x41hYGoK/l3g3+Ven4SF4dq8E8VgwOZ2uXVU7sF14jTsly/UEgzGPF1AeP/wcrrkyjhy5k2k\nd3wsveNjidjez7T5YrzwjEO5o83oWvdq5Y6sC7PEjqN7J9IcHoQaH43a3aP9HcAZoMd50nRy7zxL\n+z39t+vJPctO39zpWD7aguWjLeSkiXuomzQO3aRxmOLCUddsQfdCL4Z+J8dPSyHmmQLNaK617945\ntV+5yOc+jX/uPEwFZkwFZhwNjZhiw8DlFHmAZk7nwo0J9MWIZ8LZ0kqONRldcDC6SeNw7u0g57gx\nNE8L1NymPb+n+PkR8mYRIU2+c6Z1YRbb74qn5k47NXfasS+fT+N1doy1PRwJFIMB68Iszt1Zw7k7\nayh5LpdZGcn0nJmH8bM1Wuhk01V2bRPBujCL6neE15YhaXjc8ezie49Duh82kjvGQtljVsoes2q5\nDxQ/f1wB4pV3imjLUVuHo7ZOrHGzJ6GPiqLpajvjnxXPmXNvB4P52WTfczZDc7JRZ0zF2dmJ2U+M\nSYP52Sh+/lgvOBnXph2aJ6c292+sxbyxlpycRBzllcQvFvHG9hULcFTX4CwpEzlBIoLoHed+Dl1O\nHxkP3tUu2ttaCltLGX9XIzk5iejSk1F1CqpOETpBZyeqfQqqfQpmi4no3xdo6ztPfwZD/HA0NJKT\nNxpnc7O2ITn5N+fg9+U6/L5ch/HTNcy4cA7h61sJXy88GsxRoT73MP25XzDmd7sJXduIKyKEnDOy\ncdU3Cr0kOAjbYisRX1eSfu1qHIEqGS+fR90twxsmZouJ0Q8UMPqBAvw/X8O534hxIf2G1aTfsBr7\nubMI2wn9ST89t/5PKtFmi4mHpk3mxuusww+iwYDt4lOoeFhMDLFPFjA4KojYJwpwmY3UfJcoJs4p\n47VEErMykjHOqeTFPT+gDwsj4MuZhG1uJ+rZQrrOtmr+8O0X2bRdYhA7sG2X2LAuyqbkT9kEvV1E\n6wQ9Z9aEoLiEG3PiQwXa91P/ImJBcmwp1N1iZ/RnfYS8WURAggV9TDR9p+UysCCHsbfaab3UpvXP\nuih7uIxJdQ22M8VOmLGiBUNiAtZF2VqtPee2XZgtgegmjyP9ok0MLMgRxxdvYcyzTtRgE/ZzxGJY\nn55K2WNWbOfNgtxMDH0qoaX92C4+hcqHbCgDQzRea8eCntG/2KI91Hkr8kn4SmXP/Xb0UVFMuXMB\nfutKcW3dScVKG/azT9Di+QDsZx2P82xVS7hhDjVDbibmd1ajzpiK7azjtGPH/3I3mXcvwFI2hJI1\nkc3vTCBvYoyW1dG/y0XONfNwVNcQ8mYRPSc0Y1ZNGGbvYcsH4zF+sgbromycM+sI/5OIoVn+1CXc\ntHs+FsOwQnC4tO+J4rrHlhHdfqdQvM7ZROPiMVgXZZN+fRE1d4kH09DSgz4inIgfw3CmxpFztVg4\nzj73EgBs587U4jNdvb3MXh+nxWnsPj8Z66JsWqb4o/t+g+auZ+jo02pEHhdv4fvJASS/00bEi4XY\nLjqFsFcKybh7M46KKnKunifqHJdXUj93iLzZE3Ft3qm5VZkjQzR3bOOnazg5LYWO3HgqloQx5qYi\nTWbTbiki4sVCTu0IQvHzJ/2a1aDXM/7ReThmZdEbq8N/1Vosqp7kewpRsiZifmc1JwcJN7HEBws4\nfnM/Ey6cQNrNRZoia12UjUuPlijLuiib3gQzjllikRZkFvWAPR4R1kXZ6KOiCPwuhqC55WRecxIg\nsi8Hv1XE8aMsGL5ex54l8XxYu4a85fk0nD2A7rsNmPZ0YY4I1gxRdSumiPbck0L1vQrWRdmaJ8uu\ni58lJ3c0P+S+CIha2eN/M09zRTPExxHmEvIY95iosWqdP5UXMlLJWL6G2b8P45Ib5/BE6jyM6cEj\nljmzxcR9s6Zzc9DM4QXOSdM5Lt6C/pv1lJ5jpvQcM06jQs25Y0i5o5DmK21MvW0+IIwThtgY7Z7q\nTCbMjU5yp8bh3FFKyh2FuI6fxsz4aEI21BOyoV4s4BTQR4SJpDdGo/bbLr2CS6+Qc9U8nKXldE+N\np/eMPLKvnYert1fLm3BcXhI96YPoI8LRT8gg2O05BKA4nOTZUoW3xPHTcDY3k3viWPQTMpjw6wYm\n/LqBGaND0Y1No21WCn5VzcyYIsZeQ2oy6tAg5ogQ9BMyqHlXuJVZMyKhaDOt2WH4/bhVO18PU284\nhfiVBdpvWheJRUjQxjqCNtYRrNeT+FAB7RkGTeZC5pXhqG8g5K9FZK2YSdfcSZpxZ+Kv5rN3Uih7\nJ4XStdRK7txho0/pq9MJjLOg2jJJubSKlEursJ3uDodx++NaF2Wz617hctc/ezLZy2dr3x/1ROF+\n/Q9KCmbWlh5mbelhMNQf66JsJj+wEUO3winxaVzy7KU8FTGZiM6R5zcxW0x89tGzLP/NeZzcNg3D\nDxYGQ2GbazmOmlry46Zq7tNlv7UxNDtLOyfLGyKx373l68nJGa3F9EUXtGvvPd89tSOIlstttFxu\n45G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Vqqp6aiP9CCwAvjrMPr2jKMpJI+nQPu2t2ecjHdBzoGMPsj0XwjKFoigGhHVq17/9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\nEi2RSCQSiUQikUgkEslB8v8A64nv+Vf19mQAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_images(obs_dict, hdu_dict, filt_keys, wfe_drift, fov=fov, save_fig=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F444W_MASK335R_CIRCLYOT\n" + ] + } + ], + "source": [ + "# List of WFE drifts to check\n", + "wfe_list = [0,1,2,5,10][::-1]\n", + "nsig = 5\n", + "# Get contrasts for each WFE drift\n", + "F444W_key = [key for key in filt_keys if \"F444W\" in key]\n", + "contrast_F444W = do_contrast(wfe_list, F444W_key, nsig=nsig)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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jJtrHpauLxpgK+wM6Awao4uG+0uP4XeAk0NlLHD79/PkDe4F4x/EA25Y7HW5/8xVvCK81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\npLIQAMtyiCQMoPNGqmShEEKI3Muk0sy53f68ATgzkxMrpeqUUo8opd7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SzXnykYU1NTUs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\nnfpRZcX7b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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "curves = contrast_F444W[F444W_key[0]]\n", + "do_plot_contrast(obs, curves, wfe_list, nsig, age, save_fig=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/NRC_GTO_Debris_TargetAcq.ipynb b/notebooks/NRC_GTO_Debris_TargetAcq.ipynb new file mode 100644 index 00000000..31f1fad6 --- /dev/null +++ b/notebooks/NRC_GTO_Debris_TargetAcq.ipynb @@ -0,0 +1,250 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "\n", + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import S\n", + "from pynrc.obs_nircam import model_to_hdulist\n", + "pynrc.setup_logging('WARNING', verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# source, dist, fov, age, sptype, kmag\n", + "args_sources = [('HD10647', 17.43, 14, 1000, 'F9V', 4.3),\n", + " ('HD107146', 27.50, 14, 150, 'G2V', 5.5),\n", + " ('HD181327', 51.80, 7, 12, 'F6V', 5.9),\n", + " ('HD61005', 34.50, 7, 100, 'G8V', 6.5),\n", + " ('HD32297', 113.0, 7, 30, 'A0V', 7.6)]\n", + "\n", + "ref_sources = [('iotHor', 'F8V', 4.1),\n", + " ('HD111398', 'G5V', 5.5),\n", + " ('HR7297', 'F7V', 5.1),\n", + " ('HD56161', 'G5IV', 4.9),\n", + " ('HD31411', 'A0V', 6.4)]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "bp_k = S.ObsBandpass('k')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## ND Target Acquisition Times" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "HD10647\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 9 1 1.64 1.64 1.83 85.7 0.028 63.390\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 9 1 1.64 1.64 1.83 95.3 0.033 70.472\n", + "\n", + "HD107146\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 17 1 3.09 3.09 3.28 70.1 0.018 38.714\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 17 1 3.09 3.09 3.28 70.1 0.018 38.714\n", + "\n", + "HD181327\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 17 1 3.09 3.09 3.28 56.0 0.012 30.910\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 9 1 1.64 1.64 1.83 54.4 0.013 40.233\n", + "\n", + "HD61005\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 33 1 6.01 6.01 6.20 63.8 0.014 25.650\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 9 1 1.64 1.64 1.83 63.7 0.017 47.137\n", + "\n", + "HD32297\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 33 1 6.01 6.01 6.20 66.4 0.015 26.678\n", + "\n" + ] + } + ], + "source": [ + "nrc = pynrc.NIRCam(filter='F335M', pupil='CIRCLYOT', ND_acq=True,\n", + " wind_mode='WINDOW', xpix=128, ypix=128)\n", + "\n", + "for i in range(len(args_sources)):\n", + "\n", + " name_sci, dist_sci, fov, age, spt_sci, kmag_sci = args_sources[i]\n", + " name_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + " # Science target and reference star spectra\n", + " sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + " sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + " sp_sci.name = name_sci\n", + " sp_ref.name = name_ref\n", + " \n", + " \n", + " print(name_sci)\n", + "\n", + " ng_levels = [9,17,33]\n", + " for sp in [sp_sci, sp_ref]:\n", + " for ng in ng_levels: \n", + " pynrc.setup_logging('ERROR', verbose=False)\n", + " tbl = nrc.ramp_optimize(sp, snr_goal=50, snr_frac=0.01, well_frac_max=0.5, verbose=False,\n", + " ng_min=ng, ng_max=ng, nint_max=1, patterns=['RAPID'])\n", + " nrow = len(tbl)\n", + " if nrow>0:\n", + " print(tbl)\n", + " break\n", + "\n", + " print('')\n", + "\n", + "pynrc.setup_logging('WARNING', verbose=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Astrometric Confirmation Settings\n", + "\n", + "Want to be sensitive to objects with brightnesses of 10-18 mags at 3.3um" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "nrc = pynrc.NIRCam(filter='F335M', pupil='CIRCLYOT', wind_mode='FULL')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "BRIGHT1\n", + "RAPID\n", + "SHALLOW2\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "BRIGHT1 3 3 53.68 161.05 193.27 31.5 1.040 2.263\n", + "BRIGHT1 3 4 53.68 214.74 257.69 36.3 1.040 2.263\n", + "RAPID 4 4 42.95 171.79 214.74 29.3 0.832 2.001\n", + "RAPID 4 5 42.95 214.74 268.42 32.8 0.832 2.001\n", + "RAPID 4 6 42.95 257.68 322.11 35.9 0.832 2.001\n" + ] + } + ], + "source": [ + "sp_dim = pynrc.stellar_spectrum('flat', 17, 'vegamag', nrc.bandpass)\n", + "sp_bright = pynrc.stellar_spectrum('flat', 11, 'vegamag', nrc.bandpass)\n", + "nrc = pynrc.NIRCam(filter='F335M', pupil='CIRCLYOT', wind_mode='FULL')\n", + "tbl = nrc.ramp_optimize(sp_dim, sp_bright, snr_goal=30, snr_frac=0.1, ng_min=2, ng_max=10, nint_min=3,\n", + " well_frac_max=1.2, patterns=['RAPID', 'BRIGHT1', 'SHALLOW2'], verbose=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/NRC_GTO_EpsEri.ipynb b/notebooks/NRC_GTO_EpsEri.ipynb new file mode 100644 index 00000000..9fabfa6e --- /dev/null +++ b/notebooks/NRC_GTO_EpsEri.ipynb @@ -0,0 +1,1476 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "\n", + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages\n", + "import matplotlib.patches as patches" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import S\n", + "from pynrc.obs_nircam import model_to_hdulist\n", + "pynrc.setup_logging('WARNING', verbose=False)\n", + "\n", + "from astropy.io import fits\n", + "from astropy.io import ascii\n", + "from copy import deepcopy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Observations Definitions\n", + "\n", + "Functions to create at optimize a series of observation objects stored as a dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def make_key(filter, pupil=None, mask=None):\n", + " \"\"\"Create identification key (string) based on filter, pupil, and mask\"\"\"\n", + " mask_key = 'none' if mask is None else mask\n", + " pupil_key = 'none' if pupil is None else pupil\n", + " key = '{}_{}_{}'.format(filter,mask_key,pupil_key)\n", + " return key" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def model_info(source, filt, dist):\n", + " \n", + " base_dir = '/Volumes/NIRData/Andras_models_v2/'\n", + " model_dir = base_dir + source + '/'\n", + " \n", + " # Match filters with model\n", + " filt_switch = {'F182M':'F210M', 'F210M':'F210M', 'F250M':'F250M',\n", + " 'F300M':'F300M', 'F335M':'F335M', 'F444W':'F444W'}\n", + " filt_model = filt_switch.get(filt, filt)\n", + " fname = source + '_' + filt_model +'final.fits'\n", + "\n", + " bp = nrc_utils.read_filter(filt_model)\n", + " w0 = bp.avgwave() / 1e4\n", + "\n", + " # Model pixels are 4x oversampled\n", + " detscale = (nrc_utils.channel_select(bp))[0]\n", + " model_scale = detscale\n", + " \n", + " # File name, arcsec/pix, dist (pc), wavelength (um), flux units\n", + " args_model = (model_dir+fname, model_scale, dist, w0, 'Jy/pixel')\n", + "\n", + " return args_model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def obs_wfe(wfe_drift, filt_list, sp_sci, dist, sp_ref=None, disk_mod=True, fov_pix=None, verbose=False):\n", + " \"\"\"\n", + " For a given WFE drift and series of filters, create a list of \n", + " NIRCam observations. This function will calculate PSFs out to 320 pixels. \n", + " For the case of SW+MASK335R, we also assume that the subarray size matches \n", + " that of a simultaneous LW observation (320x320).\n", + " \"\"\"\n", + " if sp_ref is None:\n", + " sp_ref = sp_sci\n", + " \n", + " fov_pix_orig = fov_pix\n", + " \n", + " obs_dict = {}\n", + " for filt, mask, pupil in filt_list:\n", + " if verbose: print(filt, mask, pupil)\n", + "\n", + " # Disk Model\n", + " if disk_mod:\n", + " # Convert to photons/sec in specified filter\n", + " args_disk = model_info(sp_sci.name, filt, dist)\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt, pupil=pupil, mask=mask)\n", + " else:\n", + " hdu_disk = None\n", + " \n", + " # Create identification keys\n", + " key = make_key(filt, mask=mask, pupil=pupil)\n", + "\n", + " # Set the PSF size and oversampling amount\n", + " fov_pix = 320 if fov_pix is None else fov_pix\n", + " oversample = 2\n", + "\n", + " # Initialize and store the observation\n", + " # A reference obseration is stored inside each parent obs_coronagraphy class.\n", + " obs_dict[key] = pynrc.obs_coronagraphy(sp_sci, sp_ref, dist, wind_mode='FULL',\n", + " disk_hdu=hdu_disk, wfe_drift=wfe_drift,\n", + " filter=filt, mask=mask, pupil=pupil, \n", + " oversample=oversample, fov_pix=fov_pix,\n", + " verbose=verbose)\n", + " fov_pix = fov_pix_orig\n", + "\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def obs_optimize(obs_dict, sp_opt=None, well_levels=None, tacq_max=1800, **kwargs):\n", + " \"\"\"\n", + " Perform ramp optimization on each science and reference observation\n", + " in a list of filter observations. Updates the detector MULTIACCUM\n", + " settings for each observation in the dictionary.\n", + " \n", + " snr_goal = 5\n", + " snr_frac = 0.02\n", + " tacq_max = 1400\n", + " tacq_frac = 0.01\n", + " nint_min = 15\n", + " ng_max = 10\n", + " patterns = None\n", + " \"\"\"\n", + "\n", + " # A very faint bg object on which to maximize S/N\n", + " # If sp_opt is not set, then default to a 20th magnitude flat source\n", + " if sp_opt is None:\n", + " bp_k = S.ObsBandpass('k')\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + "\n", + " \n", + " # Some observations may saturate, so define a list of maximum well level\n", + " # values that we will incrementally check until a ramp setting is found\n", + " # that meets the contraints.\n", + " if well_levels is None:\n", + " well_levels = [0.8, 1.5, 3.0, 5.0, 10.0, 20.0, 100.0, 150.0, 300.0, 500.0]\n", + " \n", + " filt_keys = obs_dict.keys()\n", + " filt_keys.sort()\n", + " print(['Pattern', 'NGRP', 'NINT', 't_int', 't_exp', 't_acq', 'SNR', 'Well', 'eff'])\n", + " for j, key in enumerate(filt_keys):\n", + " print('')\n", + " print(key)\n", + "\n", + " obs = obs_dict[key]\n", + " sp_sci, sp_ref = (obs.sp_sci, obs.sp_ref)\n", + " \n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + "\n", + " sci = obs\n", + " ref = sci.nrc_ref\n", + "\n", + " # Ramp optimization for both science and reference targets\n", + " for obs2, sp in zip([sci, ref], [sp_sci, sp_ref]):\n", + " i = nrow = 0\n", + " while nrow==0:\n", + " well_max = well_levels[i]\n", + " tbl = obs2.ramp_optimize(sp_opt, sp, well_frac_max=well_max, tacq_max=tacq_max, **kwargs)\n", + " nrow = len(tbl)\n", + " i+=1\n", + " \n", + " # Grab the highest ranked MULTIACCUM settings and update the detector readout\n", + " v1, v2, v3 = tbl['Pattern', 'NGRP', 'NINT'][0]\n", + " \n", + " vals = tbl[0].as_void()\n", + " strout = ', '.join(map(str, vals))\n", + " print(strout)\n", + "\n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " # Only for Debris Disk program\n", + " #is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + " #if is_SW: v3 *= 2\n", + " \n", + " # Coronagraphic observations have two roll positions, so cut NINT by 2\n", + " if obs.mask is not None: v3 = int(v3/2) \n", + " obs2.update_detectors(read_mode=v1, ngroup=v2, nint=v3)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting contrasts and planet magnitudes\n", + "\n", + "Functions to plot simulated images and contrast curves" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def plot_contrasts(curves, wfe_list, ax=None, colors=None, return_ax=False):\n", + " \"\"\"Plot a series of contrast curves for corresponding WFE drifts.\"\"\"\n", + " if ax is None:\n", + " fig, ax = plt.subplots()\n", + " if colors is None:\n", + " lin_vals = np.linspace(0.2,0.7,len(wfe_list))\n", + " colors = plt.cm.Blues_r(lin_vals)[::-1]\n", + " for j, wfe_drift in enumerate(wfe_list):\n", + " rr, contrast, mag_sens = curves[j]\n", + " label=\"WFE Drift = {} nm\".format(wfe_list[j])\n", + " ax.plot(rr, mag_sens, label=label, color=colors[j], zorder=1, lw=2)\n", + " \n", + " if return_ax: return ax\n", + "\n", + "\n", + "def planet_mags(obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Determine series of exoplanet magnitudes for given observation.\"\"\"\n", + "\n", + " pmag = {}\n", + " for i,m in enumerate(mass_list):\n", + " flux_list = []\n", + " for j,av in enumerate(av_vals):\n", + " sp = obs.planet_spec(mass=m, age=age, Av=av, entropy=entropy, atmo='hy3s')\n", + " sp_obs = S.Observation(sp, obs.bandpass, binset=obs.bandpass.wave)\n", + " flux = sp_obs.effstim('vegamag')\n", + " flux_list.append(flux)\n", + " pmag[m] = tuple(flux_list)\n", + " \n", + " return pmag\n", + "\n", + " \n", + "def plot_planet_patches(ax, obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Plot exoplanet magnitudes in region corresponding to extinction values.\"\"\"\n", + " \n", + " xlim = ax.get_xlim()\n", + " cols = plt.cm.tab10(np.linspace(0,1,10))\n", + " \n", + " dist = obs.distance\n", + " \n", + " pmag = planet_mags(obs, age, entropy, mass_list, av_vals)\n", + " for i,m in enumerate(mass_list):\n", + " pm_min, pm_max = pmag[m]\n", + " label = 'Mass = {} '.format(m) + '$M_{\\mathrm{Jup}}$'\n", + " rect = patches.Rectangle((xlim[0], pm_min), xlim[1], pm_max-pm_min, alpha=0.2,\n", + " color=cols[i], label=label, zorder=2)\n", + " ax.add_patch(rect)\n", + " ax.plot(xlim, [pm_min]*2, color=cols[i], lw=1, alpha=0.3)\n", + " ax.plot(xlim, [pm_max]*2, color=cols[i], lw=1, alpha=0.3)\n", + " \n", + "\n", + " entropy_switch = {13:'Hot', 8:'Cold'}\n", + " entropy_string = entropy_switch.get(entropy, lambda: \"Warm\")\n", + " ent_str = entropy_string + ' Start'\n", + " #ent_str = '{} Start'.format(entropy_string)\n", + "\n", + " av_str = '$A_V = [{:.0f},{:.0f}]$'.format(av_vals[0],av_vals[1])\n", + " age_str = 'Age = {:.0f} Myr; '.format(age)\n", + " dist_str = 'Dist = {:.1f} pc; '.format(dist) if dist is not None else ''\n", + " #dist_str=\"\"\n", + "\n", + " ax.set_title('{} -- {} ({}{}{})'.format(obs.filter,ent_str,age_str,dist_str,av_str))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Functions to init, optimize, and plot" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Generate initial observations for each filter(no WFE drift)\n", + "def do_init(disk_mod=True, fov_pix=1024, verbose=True):\n", + " wfe_drift = 0\n", + " obs_dict = obs_wfe(wfe_drift, args_list, sp_sci, dist_sci, sp_ref=sp_ref, \n", + " disk_mod=disk_mod, fov_pix=fov_pix, verbose=verbose)\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Optimize observations\n", + "def do_opt(tacq_max, **kwargs):\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + " obs_optimize(obs_dict, sp_opt=sp_opt, tacq_max=tacq_max, **kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# For each filter setting, generate a series of contrast curves at different WFE values\n", + "def do_contrast(wfe_list, filt_keys, nsig=5, roll_angle=None):\n", + " contrast_all = {}\n", + " for i, key in enumerate(filt_keys):\n", + " print(key)\n", + " obs = obs_dict[key]\n", + "\n", + " filt, mask, pupil = args_list[i]\n", + " if roll_angle is None:\n", + " roll_angle = 0 if mask is None else 10\n", + "\n", + " # Stores tuple of (Radial Distances, Contrast, and Sensitivity) for each WFE drift\n", + " curves = []\n", + " for wfe_drift in wfe_list:\n", + " obs.wfe_drift = wfe_drift\n", + " result = obs.calc_contrast(roll_angle=roll_angle, nsig=nsig)\n", + " curves.append(result)\n", + "\n", + " contrast_all[key] = curves\n", + " return contrast_all" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_plot_contrast(obs, curves, wfe_list, nsig, age, xlim=[0,10], ylim=[24,8], save_fig=False):\n", + "\n", + " fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + " entropy_vals = [13,8]\n", + "\n", + " for j, ax in enumerate(axes.flatten()):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " plot_contrasts(curves, wfe_list, ax=ax)\n", + " plot_planet_patches(ax, obs, age=age, entropy=entropy_vals[j])\n", + "\n", + " for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " ax.legend(ncol=2)\n", + "\n", + " fig.tight_layout()\n", + " \n", + " t_exp = obs.multiaccum_times['t_exp']\n", + " t_exp = round(2*t_exp/100)*100\n", + " fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + " #fig.subplots_adjust(top=0.85)\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n", + "\n", + " fname = \"{}_contrast.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Define Sources and their Reference Counterparts" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# source, dist, age, sptype, kmag\n", + "args_sources = [('Vega', 7.7, 455, 'A0V', 0.13),\n", + " ('Fomalhaut', 7.7, 450, 'A4V', 1.05),\n", + " ('Eps Eri', 3.2, 500, 'K2V', 1.67)]\n", + "\n", + "# Corresponding reference stars\n", + "ref_sources = [('Deneb', 'A2I', 0.88),\n", + " ('c02 Aqr', 'K1III', 0.94),\n", + " ('HR1050', 'K2III', 3.25)]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# List of filters\n", + "args_list = [('F356W', 'MASK430R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK430R', 'CIRCLYOT')]\n", + "\n", + "filt_keys = []\n", + "for filt,mask,pupil in args_list:\n", + " filt_keys.append(make_key(filt, mask=mask, pupil=pupil)) " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# K-Band Filter\n", + "# 2MASS Bandpass\n", + "tbl = ascii.read(\"2mass_ks.txt\", names=['Wave', 'Throughput'])\n", + "bp_k = S.ArrayBandpass(tbl['Wave']*1E4, tbl['Throughput'], name='Ks')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "outdir = '/Volumes/NIRData/'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Eps Eri" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "i=2\n", + "\n", + "name_sci, dist_sci, age, spt_sci, kmag_sci = args_sources[i]\n", + "name_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F356W MASK430R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F444W MASK430R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n" + ] + } + ], + "source": [ + "obs_dict = do_init(disk_mod=False, fov_pix=1024, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "obs1 = obs_dict[filt_keys[0]] # F356W\n", + "obs2 = obs_dict[filt_keys[1]] # F444W" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Readout Patterns" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "BRIGHT1\n", + "RAPID\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 10 5 107.37 536.84 590.53 47.3 8.260 1.947\n", + "RAPID 10 6 107.37 644.21 708.63 51.8 8.260 1.947\n", + "BRIGHT1 6 5 118.10 590.52 644.21 46.5 9.086 1.832\n", + "RAPID 9 5 96.63 483.15 536.84 42.1 7.434 1.815\n", + "RAPID 8 5 85.89 429.47 483.16 36.6 6.608 1.667\n", + "BRIGHT1 5 5 96.63 483.15 536.84 37.2 7.434 1.605\n", + "BRIGHT1 4 6 75.16 450.94 515.37 30.4 5.782 1.339\n", + "\n", + "BRIGHT1\n", + "RAPID\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 10 5 107.37 536.84 590.53 47.3 1.973 1.947\n", + "RAPID 10 6 107.37 644.21 708.63 51.8 1.973 1.947\n", + "BRIGHT1 6 5 118.10 590.52 644.21 46.5 2.171 1.832\n", + "RAPID 9 5 96.63 483.15 536.84 42.1 1.776 1.815\n", + "RAPID 8 5 85.89 429.47 483.16 36.6 1.579 1.667\n", + "BRIGHT1 5 5 96.63 483.15 536.84 37.2 1.776 1.605\n", + "BRIGHT1 4 6 75.16 450.94 515.37 30.4 1.381 1.339\n", + "\n" + ] + } + ], + "source": [ + "# Optimize F356W\n", + "# We already did this for Vega and decided on RAPID, NGRP=9, NINT=5\n", + "# Let's confirm that these settings produce performance similar to optimal\n", + "\n", + "# Spectrum to optimize (some very faint flat guy)\n", + "sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + "\n", + "kwargs = {'tacq_max': 600, 'well_frac_max': 30, 'nint_min': 5}\n", + "for sp in [sp_sci, sp_ref]:\n", + " _ = obs1.ramp_optimize(sp_opt, sp, patterns=['RAPID','BRIGHT1'], verbose=True, **kwargs)\n", + " print('')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "BRIGHT1\n", + "BRIGHT2\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "BRIGHT2 9 5 193.26 966.31 1020.00 77.8 6.962 2.435\n", + "BRIGHT2 8 5 171.79 858.94 912.63 70.6 6.188 2.335\n", + "BRIGHT1 9 5 182.53 912.63 966.31 70.2 6.575 2.259\n", + "BRIGHT1 9 6 182.53 1095.15 1159.58 77.0 6.575 2.259\n", + "BRIGHT2 7 5 150.31 751.57 805.26 62.7 5.415 2.210\n", + "BRIGHT1 8 5 161.05 805.26 858.95 62.7 5.801 2.139\n", + "BRIGHT1 7 5 139.58 697.89 751.58 54.7 5.028 1.993\n", + "\n", + "BRIGHT1\n", + "BRIGHT2\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "BRIGHT2 9 5 193.26 966.31 1020.00 77.8 1.633 2.435\n", + "BRIGHT2 8 5 171.79 858.94 912.63 70.6 1.451 2.335\n", + "BRIGHT1 9 5 182.53 912.63 966.31 70.2 1.542 2.259\n", + "BRIGHT1 9 6 182.53 1095.15 1159.58 77.0 1.542 2.259\n", + "BRIGHT2 7 5 150.31 751.57 805.26 62.7 1.270 2.210\n", + "BRIGHT1 8 5 161.05 805.26 858.95 62.7 1.361 2.139\n", + "BRIGHT1 7 5 139.58 697.89 751.58 54.7 1.179 1.993\n", + "\n" + ] + } + ], + "source": [ + "# Optimize F444W\n", + "# Similarly, we chose BRIGHT1, NGRP=9, NINT=5 for Vega. Will that also do here?\n", + "kwargs = {'tacq_max': 1000, 'well_frac_max': 30, 'nint_min': 5, 'ng_max':9}\n", + "for sp in [sp_sci, sp_ref]:\n", + " _ = obs2.ramp_optimize(sp_opt, sp, patterns=['BRIGHT1','BRIGHT2'], verbose=True, **kwargs)\n", + " print('')" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Update based on decisons\n", + "obs1.update_detectors(read_mode='RAPID', ngroup=9, nint=5)\n", + "obs1.nrc_ref.update_detectors(read_mode='RAPID', ngroup=9, nint=5)\n", + "\n", + "obs2.update_detectors(read_mode='BRIGHT1', ngroup=9, nint=5)\n", + "obs2.nrc_ref.update_detectors(read_mode='BRIGHT1', ngroup=9, nint=5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Saturation radius" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Determine saturation that isn't easily interpolated\n", + "# F356W\n", + "nsat_list = []\n", + "rmax_list = []\n", + "for sp in [sp_sci, sp_ref]:\n", + " sat_level = obs1.saturation_levels(sp)\n", + " #print(sat_level.max())\n", + " sat_mask = sat_level > 0.8\n", + " rho = nrc_utils.dist_image(sat_level) # Pixel distances\n", + " \n", + " # How many saturated values can we easily fix?\n", + " sat_level[sat_mask] = np.nan\n", + " sat_level = nrc_utils.fix_nans_with_med(sat_level, niter_max=2)\n", + " \n", + " # Set any NaNs to 1.0\n", + " nan_mask = np.isnan(sat_level)\n", + " sat_level[nan_mask] = 1\n", + " sat_mask = sat_level > 0.8\n", + " \n", + " # Get final info about saturation levels\n", + " nsat = np.size(rho[sat_mask]) \n", + " rval = rho[sat_mask].max() if nsat>0 else 0\n", + " nsat_list.append(nsat)\n", + " rmax_list.append(rval*obs1.pix_scale)\n", + "\n", + "nsat1 = np.max(nsat_list)\n", + "rmax1 = np.max(rmax_list)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Determine saturation that isn't easily interpolated\n", + "# F444W\n", + "nsat_list = []\n", + "rmax_list = []\n", + "for sp in [sp_sci, sp_ref]:\n", + " sat_level = obs2.saturation_levels(sp)\n", + " #print(sat_level.max())\n", + " sat_mask = sat_level > 0.8\n", + " rho = nrc_utils.dist_image(sat_level) # Pixel distances\n", + " \n", + " # How many saturated values can we easily fix?\n", + " sat_level[sat_mask] = np.nan\n", + " sat_level = nrc_utils.fix_nans_with_med(sat_level, niter_max=2)\n", + " \n", + " # Set any NaNs to 1.0\n", + " nan_mask = np.isnan(sat_level)\n", + " sat_level[nan_mask] = 1\n", + " sat_mask = sat_level > 0.8\n", + " \n", + " # Get final info about saturation levels\n", + " nsat = np.size(rho[sat_mask]) \n", + " rval = rho[sat_mask].max() if nsat>0 else 0\n", + " nsat_list.append(nsat)\n", + " rmax_list.append(rval*obs2.pix_scale)\n", + "\n", + "nsat2 = np.max(nsat_list)\n", + "rmax2 = np.max(rmax_list)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 0.0\n", + "0 0.0\n" + ] + } + ], + "source": [ + "print(nsat1, rmax1)\n", + "print(nsat2, rmax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Contrast curves" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F356W_MASK430R_CIRCLYOT\n", + "F444W_MASK430R_CIRCLYOT\n" + ] + } + ], + "source": [ + "# Determine contrast curves for various WFE drift values\n", + "wfe_list = [0,5,10]\n", + "nsig = 5\n", + "roll = 10\n", + "curves_dict = do_contrast(wfe_list, filt_keys, nsig=nsig, roll_angle=roll)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "curves1 = curves_dict[filt_keys[0]]\n", + "curves2 = curves_dict[filt_keys[1]]" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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jTCjIzs5m9+7dZGZmBrsoALzwwgts3rw52MWo1mJiYvjFL35BZGRksItSJuFh\nQp3YSMLDhdxc5cSpHOJiQ3NdjDFnhsVC46siY2FIVCjr168PgIhwTq0oADJO2nMjVcGQIUOCXQTj\nh+2X03bv3k1cXBzNmzdHJPh3ccraG6epGKrKoUOH2L17Ny1atPBNPhCMMpWGJx56nqPMzc3lWKZV\nKIPNzrlVl+0bh8VC462iY2FV6JSnRN4HXIPa0YB1ylNV2Im6arL9clpmZibx8fFVIoACFkCDTESI\nj48v6ip94f7TqxjP8VMnxjqpq0rsnFt12b5xWCw03io6FobEHcq0tLTTJ4QWHYG6FkCNMQGrKgHU\nVA3ex8PChQtZuHChZ7BiXzhWCTzxcPP+Y2RyPjS43OKhMSYgFguNt4qMhSFRoaxTpw63PzGJPIX9\nxzP5cPoqsnPyyMnNy79Ca4wxVdHjjz/O7NmzefXVV7njjjvYvHkzPXr0ICUlBRFh8uTJLF26lMTE\nRKZNm8ann35a4Ir66tWrmTt3LqNGjSqUlpSUxNy5cwssb8aMGYwaNYqBAweSkJBASkoK119/PQMG\nDCiyjLNmzeL48eM88sgj+WWOj49nzZo1jBo1ipycHLp3717ubbFu3Tpee+01WrRoQWpqKlOmTCEi\nIrhhqF+/fvm95L355ptpQS1MAKJrxPHw2ClsTj3G+P/3HUfTMjmWaX0KGGOqNouFp52VsbC0L64M\nxqd9+/b6yY+p+vEPqbp4c6o2fuA9bTjoHT16/FTFvMHTGHPW2rRpU1CXn5OTo/Hx8ZqSkqKqqlOm\nTNGWLVvqmjVrVFV1wYIF+sUXX6iq6ueff17oZc/z588vMu2DDz7wu8xmzZrpxo0b85c/cOBAnTJl\nSrHlzMvLy/+/RYsWqqqalZWls2fP1nHjxgWyqiXmf+mll+Zvh8cff1xnzpxZ7nzLyt9xAazVKhDz\nivtceOnl+vEPqbroh/16yaiPtOGgd/STdXsqcMsYY85GFgstFvpTUbEwZG7vRYQ7t2Wjw8Py/z9m\nL3Q2xlRx4eHh9OzZk48++giAPXv2cNddd7Fo0SLAueraqVMnv/MOGzaM3/3ud37Thg4dys033xzQ\n8p9++mn+8pe/ADBgwACuuuoqnnjiCTp37szEiRO55557uPfeewF45ZVXOHz4MOPHj2fVqlUsWLCA\nZcuWMX78ePbt21cg71WrVtGrV69Cn9/85jeFypGUlMTJkydp1KgRAF26dMnfJt4GDBhAhw4dGDFi\nBL1792bhrUMfAAAgAElEQVTcuHGA0xynVatWPPXUUwwaNIhrr72W9957jwcffJDOnTuTnJxc4rY4\nG3haKNWICs9voXPiVG4QS2SMMSWzWOg4W2NhSDR5BYgMCyOLXKIiwtwXOufacyPGmFJZ/GPldOLZ\n69LiOxfo27cv8+fPp3///tStW5ebbrqJIUOGMHHiRFSV8PDw/Gl37drF8OHO++y3b99eIB/vtNTU\n1IDL16xZM/bv309WVhaTJ0+mS5cuTJo0iczMTFJSUti7dy9z5swB4NFHH+XFF19k/PjxgBP8duzY\nkT/srVOnTixevDigMqSmphIXF5c/XLt2bb/rMHnyZLp27coLL7wAQNOmTZkwYQL9+vXjvffeo0WL\nFiQmJjJ8+HDWrVvH9OnTeemll3j33XcZMWJEwNskVAlOjTIyXNxYiDV5NcaUisVCi4UVLWQqlJ67\nkhFhQkSEJ4hahdIYU/X16tWLBx98kIULF9KzZ0/at2/Pvn37+OSTT2jTpk2BaZs0acLLL78MwNat\nW4tM27JlS8DLT05OpmHDhkRFOa9datWqFZGRkURGRhIXF8fevXvLtF4rV65k7NixhcbHxsZ6P9wP\nQIMGDcjIyMgfTk9Pp0GDBn7zbdmyZf4PC9/3Y51//vkA1K1bl+bNmwNQr149duzYUaZ1CDWeO5QR\nYacrlHZx1RgTCiwWnr2xMGQqlJFeFcrwMDeI2lVZY0wplHT1tLLUq1ePtm3bMnXqVFauXImI0Lt3\nb0aMGMHy5cuLnK9169ZFpl100UUsWrSIvn37FrvsvLw8nn322QJXLEvT0194eDiqypEjR8jIyKBp\n06b5aZ07d2bJkiUB5dOyZUtiY2PZt28fjRo14quvvqJPnz5+p7WeCIvm2TJOhdIZsgqlMaY0LBY6\nLBZWnJCoUKalpTFpzHBOZOfRu08fwiNqA3DcnhsxxoSIvn378uOPPxLmXhDr06cPW7ZsIT4+HoAD\nBw4wb948UlJSmDJlCk888UT+vN5piYmJ+eM3btxYKIjOmjWLtLQ0ZsyYQUJCAnv27KFXr17cfvvt\nAMycOZPk5GRmzZrFfffdR0ZGBvPmzWPDhg2sXLmSdevWkZaWRmJiImPGjKFjx468/fbbjBw5kocf\nfrhAEC0NEeGtt97iz3/+M82aNSM3N5e777670HSe8i1dupT09HTS0tKYNWsWl112GRs2bGDevHk0\nbtyYFStWsHHjRjp37szChQs5cuQI27Zt48ILLyxVuULttSHHMtL52/gRxEaGkR5+AcS0ttY6xpiQ\nYbHw7IyF4nTmU7V16NBB//Hh5+w6kknTc2L4w9Sv2J96jKn3X0X/q5sFu3jGmCps8+bNXHzxxcEu\nhqli/B0XIvKtqnYIUpEC0qbdlfqXtz+hcZ1oHnn7e7b+7wB3d2/J5NuvDHbRjDFVmMVC409FxcKQ\n6+U1TMjv2c6uyhpjjKlOxOtv/jOUFguNMcYEUchUKCPdwIlCZITzgGrGSXuG0hhjTPXheaYmVyE6\n0omL6RYLjTHGBFHoVCjDnCCak3c6iB49YUHUGGNM9eHpoyE7N48a0U43CBkn7Q6lMcaY4AmZCqWn\nyWt2Xh6xUU4QtauyxhhjqhNPk9fsXKWmW6E8Zr28GmOMCaKQqVB6mrzm5Co1op0mr+l2h9IYY0w1\n4mnymp2bR80Yt0Jpr9AyxhgTRCFToYwI8wRRpUa083LPdAuixhhjqpHTTV6VOLdCecLuUBpjjAmi\nkHkP5R8feZB96Vlce0MvatW4CLCe7YwxVd/jjz/O7NmzefXVV7njjjvYvHkzPXr0ICUlBRFh8uTJ\nLF26lMTERKZNm8ann37KkCFD8udfvXo1c+fOZdSoUYXSkpKSmDt3boHlzZgxg1GjRjFw4EASEhJI\nSUnh+uuvZ8CAAUWWcdasWRw/fpxHHnkkv8zx8fGsWbOGUaNGkZOTQ/fu3cu9LW655RaOHj2aP/zO\nO++QkBCcF2x7hNp7KNOOHuVv450Xc59zaScggRP2TmZjTBVnsfC0szIWqmqV/7Rv315PZefqxz+k\n6pLNB3TE/A3acNA72mPCZ2qMMcXZtGlTUJefk5Oj8fHxmpKSoqqqU6ZM0ZYtW+qaNWtUVXXBggX6\nxRdfqKrq559/ru3bty8w//z584tM++CDD/wus1mzZrpx48b85Q8cOFCnTJlSbDnz8vLy/2/RooWq\nqmZlZens2bN13LhxgaxqiSoqn4rg77gA1moViHnFfdq3b69LNh/Qj39I1ZeXJWnDQe9oo0HvaFZ2\nbgVuHWPM2cZiocVCfyoqFobEHUo43eQ1x5r5GGNCSHh4OD179uSjjz7i/vvvZ8+ePdx1110sWrSI\njh07snr1ahITE/3OO2zYMKZOneo3bejQobz++usBLf/pp5+me/fujBgxggEDBpCUlES3bt1YuXIl\nvXr1IikpCYA5c+bwyiuvcPjwYcaPH891113HggULOHr0KOPHj2fo0KE0atQoP+9Vq1YxYcKEQsuM\njY3l/fffLzR+165dPPfcc6gqTZs25c477yw0zYABA/j555/p1q0bmzZtomPHjkyYMIGFCxfyxz/+\nkd///vfs27ePbdu28dhjj7FkyRLWr1/PP//5T5o1a1bi9jgbRIaHkZ2bS2xUONFREZzKyiHl6Ema\n1q8Z7KIZY4xfFgtPOxtjYchUKMPChHBx3r0VF+M8Q3kyy5r5GGMCd8db6ysl37fuuLzY9L59+zJ/\n/nz69+9P3bp1uemmmxgyZAgTJ05EVQkPD8+fdteuXQwfPhyA7du3F8jHOy01NTXg8jVr1oz9+/eT\nlZXF5MmT6dKlC5MmTSIzM5OUlBT27t3LnDlzAHj00Ud58cUXGT9+POA0JdqxY0f+sLdOnTqxePHi\ngMvxwAMP0LFjR4D8Zke+gXTy5Ml07dqVF154AYCmTZsyYcIE+vXrx3vvvUeLFi1ITExk+PDhrFu3\njunTp/PSSy/x7rvvMmLEiIDLEsqiwoUTQFR4GDExToVy96ETVqE0xgTEYqHFwop2xiqUItIISAQu\nV9Wr3HHnAM8DScAFwJ9UdX9ReUSEh5Gbk0fdmm6nPCezKr3cxhhTXr169eLBBx9k4cKF9OzZk/bt\n27Nv3z4++eQT2rRpU2DaJk2a8PLLLwOwdevWItO2bNkS8PKTk5Np2LAhUVFRALRq1YrIyEgiIyOJ\ni4tj7969ZVqvlStXMnbs2ELjY2NjvZ/FyOcJoAA9evTgv//9r98rsy1btsz/YREZGVkg7fzzzweg\nbt26NG/eHIB69eqxY8eOMq1DMJQ3Hnp6PY8KF2KiI0gD9hw+cSaKbowxZWax0HE2xsIzeYfyGuAD\noJ3XuOeAJao6X0T6AVOAwlvUFRkunMqBejWjCBPh5KlcjmVmUysmsqhZjDEmX0lXTytLvXr1aNu2\nLVOnTmXlypWICL1792bEiBEsX768yPlat25dZNpFF13EokWL6Nu3b7HLzsvL49lnny1wxdLz6olA\nhIeHo6ocOXKEjIwMmjZtmp/WuXNnlixZElA+GRkZvPTSS/lB96effsoPiL5KU74QVa54GOm+lzki\nLIwYN/5ZhdIYEyiLhQ6LhRXnjFUoVfVdEenuM7oP8Kz7/1fAP4rLI8INotER4cTERHDiZDZ7Dp+k\ndWOrUBpjqra+ffvy448/Ehbm3F3q06cPW7ZsIT4+HoADBw4wb948UlJSmDJlCk888UT+vN5p3s+Y\nbNy4sVAQnTVrFmlpacyYMYOEhAT27NlDr169uP322wGYOXMmycnJzJo1i/vuu4+MjAzmzZvHhg0b\nWLlyJevWrSMtLY3ExETGjBlDx44defvttxk5ciQPP/xwgSBaGpGRkaxfv56xY8fmB+WJEycWms5T\nvqVLl5Kenk5aWhqzZs3isssuY8OGDcybN4/GjRuzYsUKNm7cSOfOnVm4cCFHjhxh27ZtXHjhhWUq\n35lU3ngYHeEcQxHi3KEEq1AaY0KDxcKzMxaK05nPGVqYE0CnqGoHd/gU0FBVj4pIBJANRKpqgd52\nOnTooGvXruXb5DQOHMsiLByG//1rDh89yf977Bquu6xRoWUZYwzA5s2bufjii4NdDFPF+DsuRORb\nT3yqbOWJh+8sXsHW/cc5mZPL65//zPofU+hxWUP++VjXM1F0Y0wIslho/KmoWBjsTnlSgTjgKFAb\nOOIbPMG5ItGhQwdOZueRnZOHCOw6fIKI83uw5/CVZ7rMxhhjQtiBAwdISUnx98xK/WCUxxVwPLzl\nxq6czMolD+XgsSyOn8hibUo/sAqlMcaYAFVkLAx2hfIjoBOwC+jiDheSkJDA2rVr2br/GNsPniQm\nKowx/17P9uTD7DlkzXyMMcYELiEhgXPPPZe1a9cWGC8iB4NUJChFPFy8bCVrk9PIzsvjrW/3sPyr\nJPKiI1DVkHrmxhhjTPBUZCwMq7BSlUBEuuF0MHCuiDwlIrHAn4AbReQp4LfAE8XlEeX2bCeQ/9zI\nbntuxBhjTAgpbzz0PEMpOL2fR0SEcfxUDmknsiu/8MYYY4yPM9kpz3LAtwunk8DgQPPwBNFwkfye\n7axCaYwxJpSUNx5GubFQ1ekFsEZMJOnHTrH70Anq1oyq2MIaY4wxJThjdygrgieIRoYLNWPdrtKt\nyasxxphqJCpcECDMbd4aE+NcG96Wkh7EUhljjKmuQqtC6TZ5zclVGteLBWDvkZPk5p25nmqNMcaY\nYBIRoiLCCA8T6sREUKtmNAAbdx4NcsmMMcZUR8HulKdUoiKcq7FZuUrjOjFERYaTlZ1Lalom57oV\nTGOMqUoef/xxZs+ezauvvsodd9zB5s2b6dGjBykpKYgIkydPZunSpSQmJjJt2jQ+/fRThgwZkj//\n6tWrmTt3LqNGjSqUlpSUxNy5cwssb8aMGYwaNYqBAweSkJBASkoK119/PQMGDCiyjLNmzeL48eM8\n8sgj+WWOj49nzZo1jBo1ipycHLp3717ubZGWlsZzzz3HP/7xD/bt25c/PjMzkyeeeILzzjuPn376\nidGjR4fE+ySDKSpCOJUD8TUjiavlVCh/2GUVSmNM1WSx8LSzMhaqapX/tGrVSgcPHqyDBg3ScVPn\n6eIfUvXNVTv1gj9+qA0HvaPf/O+gGmOMP5s2bQrq8nNycjQ+Pl5TUlJUVXXKlCnasmVLXbNmjaqq\nLliwQL/44gtVVf3888+1ffv2BeafP39+kWkffPCB32U2a9ZMN27cmL/8gQMH6pQpU4otZ15eXv7/\nLVq0UFXVrKwsnT17to4bNy6QVS3RokWLdM2aNRofH19g/KRJk3Ty5Mmqqrphwwa95pprKmR5xfEc\nFx9++KEOHjxYBw8erMBPWgViXnEfTzy85Q9367ip8/SlZUl665vfaMNB7+hFj31QYD8aY4yHxUKL\nhf5UVCwMiTuUderUYcaMGQAs3XKQ7FwlvkYk0dERkHGK3YdP0OH8+CCX0hhjCgsPD6dnz5589NFH\n3H///ezZs4e77rqLRYsW0bFjR1avXk1iYqLfeYcNG8bUqVP9pg0dOpTXX389oOU//fTTdO/enREj\nRjBgwACSkpLo1q0bK1eupFevXiQlJQEwZ84cXnnlFQ4fPsz48eO57rrrWLBgAUePHmX8+PEMHTqU\nRo0a5ee9atUqJkyYUGiZsbGxvP/++4XG9+nThx07dhQa/9FHH/Hcc88B0KZNG9avX096ejq1a9fO\nn2b27NmMGTOGBx54gOTkZJKSkli0aBG5ubn84Q9/ICIigosuuojVq1czePBgfvjhB7777jsGDBhQ\n4Eq2r379+tGvXz8A3nzzzbQSN2iQeeLhht3p7E07xb5jp4iOjqBmTARHjmex5/BJfhFfI9jFNMaY\nAiwWnnY2xsKQqFB6iwoPIzs3l7qxkcREux3zWE+vxpgANBr8bqXku+/N/sWm9+3bl/nz59O/f3/q\n1q3LTTfdxJAhQ5g4cSKqSnh4eP60u3btYvjw4QBs3769QD7eaampqQGXr1mzZuzfv5+srCwmT55M\nly5dmDRpEpmZmaSkpLB3717mzJkDwKOPPsqLL77I+PHjAacp0Y4dO/KHvXXq1InFixcHXI6ipKam\nEhcXlz9cu3ZtUlNTCwTRe++9l3/84x907tyZCRMm8PDDD/PZZ59x6623Mnr0aJ5++mmmTJnCunXr\nuOWWW0hKSiItLY1rr7222CAaqjy9nteOiUBEaFAvlu0pGfyw66hVKI0xxbJYaLGwooVehTIijONZ\nudSOicjv2c56ejXGVGW9evXiwQcfZOHChfTs2ZP27duzb98+PvnkE9q0aVNg2iZNmvDyyy8DsHXr\n1iLTtmzZEvDyk5OTadiwIVFRzislWrVqRWRkJJGRkcTFxbF3794yrdfKlSsZO3ZsofGxsbEsXLgw\n4HwaNGhARkZG/nB6ejoNGjTwO63neZKEhIQC85x//vkA1K1bl+bNmxMWFka9evUKTHM28fR6Hhfl\nxMG4WjFABht3HqFXu8ZBLJkxxvhnsbB4oRwLQ7BC6XTMUzs6nNhoexelMSZwJV09rSz16tWjbdu2\nTJ06lZUrVyIi9O7dmxEjRrB8ue/rCE9r3bp1kWkXXXQRixYtom/fvsUuOy8vj2effZYRI0bkjxP3\ndROBCA8PR1U5cuQIGRkZNG3aND+tc+fOLFmyJOC8itKnTx9WrVpF165d2bhxI5dffnmBK7LeSlP2\ns5nnDmWNKOeKfqQbD3+wnl6NMSWwWOiwWFhxQuq1IXD61SGRYWHE1XCuMOw6aBVKY0zV1rdvX1q3\nbk1YmHMO69OnD3Xq1CE+3nn++8CBA8ybN4+UlBSmTJlSYF7vtMTExPzPvHnzCi1n1qxZpKWlMWPG\nDJ555hkeeughevXqxciRIwGYOXMmycnJzJo1C4CMjAzmzZvHhg0bWLlyJdOmTSMtLY3ExERyc3Pp\n2LEja9asYeTIkRw6dKhc22DdunVMnTqVkydPkpiYSEpKCgCPPfYYycnJJCYm8te//pW///3vheb9\n7LPP8sudlJTEihUrWLhwIfv3788v/3fffcecOXNITk7m888/Z86cOaSlpfHOO++Uq9xVUWS482Mi\nKtypXEa572a2nl6NMVWZxcKzMxaKatV/h2OHDh107dq1APyUepyfD5zg/IQaTF2xg39/spnasZFs\ne+XXQS6lMaYq2rx5MxdffHGwi2GqGH/HhYh8q6odglSkgHji4ZET2azZfpQ6sRF8uCmVnUdO8tWq\n7WRm57LppX6c475KxBhjwGKh8a+iYmHI3qHMysmjyTmxhImQfjKbY5nZQS6ZMcYYc2ZEhjl3KHNy\nlYZx0YgIzRrUAuBHu0tpjDHmDAqJZyjT0tLyeybq3KMnjdpeS06e0iAumpiYCE6czGbP4ZO0bhwZ\n5JIaY4wJJQsXLvTuNKFOMMsSCE88zM1TmlzRjW439KZRnPP4R8NzarB1Txobdx6l68UNg1xSY4wx\noaK8sTAkKpTe76Hcn36K73elk5OrJNSKIibaU6E8QevG/h9cNcYYY/wJ1fdQ5uYpn20+SHZuHo1q\nO81b68Q5f61jHmOMMaVR3lgYck1eI9yOCHLynApldIy9i9IYY0z1EiYgQJ5CQ/d5yUg3Hm7aU+Xr\nxcYYY84ioVehdJ8byXUrlLHRzk3WHanHglksY4wx5owRkfwLrPE1nYrkyTwnbefB44RCh3vGGGPO\nDiFboczJUxJqRlHDfXVIklUojTHGVCORbid1NSLDiIkMI1shLjaCE6dyOXwsK8ilM8YYU12EXIUy\nPL9CmUeNqHDq144B4Od9GcEsljHGGHNGnb7ACue6z082qhsLwK5Dx4NWLmOMMdVLyFUoI9wrsjm5\nTnOeZgk1Adhx4Dh5edbExxhjTPUQ6dWnQEO3QlnXfZ5y50HrV8AYY8yZERK9vHq/NqRv375End+J\nPIU8Vc6rF0tUZDhZ2bnsPXKSX8TXCHJpjTGm+po2bRpPPvkkSUlJJCQk5I+/7bbbiI2N5cknn+SS\nSy4JYgkLCtXXhgBccvV1XPTL68nJVc51e3qt6T4GYncojTEmeKpbLAyJCqX3a0MAlmw+SE6e5nfM\nUyM2kqzsXLanZliF0hhTrO92HiH9ZHaF5Vc7NpIrm9YrdpoVK1YwduxYtm/fzk8//URUVFR+2pNP\nPsm8efOYOHEigwYNqrBylcW+fft46qmnWL9+Pd98803++CVLlvB///d/NGjQABFh3LhxReZx1VVX\n0bt3b5KTk/OD6HfffUdGRgbPPvssF1xwQaWvR2mE6mtDAH7Yk8Huo5kFXh0SGRkOOB3zGGNMUSwW\nFs1iYeljYUhUKH1FhAk5eUpOrtKgltMxz9H0TH7ef8xe5myMKVb6yWzia0ZXWH6Hjp8qcZprr72W\n7t27c+LECWbOnMlDDz0EQGpqKl9//TWNGzcOegAF+PLLL/n1r3/NunXr8sedOHGCoUOH8uOPPxId\nHc2tt97K0qVLuf766/3mkZycTNeuXdm5cycdOnRAVTl27BipqalVLoCGOu/XaDVym7yq+1jILmvy\naowphsXColksLL2Qe4YSCgbRhnHR1Ih1ukzfvt96ejXGVF1jx47l+eef59QpJ/BOmzYtP6ACHDt2\njD59+jB58mTuu+8+lixZAsDWrVu59957efHFF7nzzjvZtm2b33G++vfvT69evQp9vvzyS7/l69+/\nP3FxcQXGrVq1imbNmhEd7fzw6NKlCx999FGx69mkSRN27tyZP3+LFi1o0KBBgFvJBMrzDGV2rtIo\nzrnSf0qdcdbk1RhTVVksPPuE5B3KcK9XhzSIi6JGrBNI/7ffeno1xlRdl112GZ06dWLGjBncdttt\nhIWFFXi2IiwsjD/+8Y/ccMMNHD58mJ49e3LDDTfw8ccfExUVxbBhw9izZw8xMTH8+9//LjTO17vv\nvlvuMqemphYIrLVr1yY1NbXYeZo0acIXX3xBVlYWIsK6devo2LEjAKtXr+ZPf/oT7733HvXqFd88\nyhQvIszTSV0eNaMjqB0dweGcXAB2HzqBqiIiwSyiMcYUYrHw7IuFZ6xCKSKNgETgclW9yh33EnAC\nOAZcDgxX1X0l5eX9Lsr4GlHUruVUKDfuPGoB1BhTpY0bN46ePXuyc+dOnnzySX744Yf8NFVl2bJl\nrFq1isjISA4cOADA4MGDef755+natSutW7fmxRdf9DvO1y233MKxY4VbbowbN46uXbsGVN4GDRqQ\nkXH6Yl16enqRV1jT0tKoW7du/lXZ1atX07VrV8aOHcvVV18NwNVXX03Lli3PigBaVhUVD/PvULo9\nnDesHUX6qRxqx0aSfjKbgxmnSKhd+MeVMcYEm8XCsysWnsk7lNcAHwDtvMYdV9WnAETkSeDPwCMl\nZeSpUObmKuFhQtOEmkREhJGalsneIyc57xzrmMcYUzVdcsklXHvttURFRVG/fv0CaTNnzmTv3r3M\nmjWLrKwsXn/9dQDWrFnD6NGjeeaZZxg5ciRz586lXbt2hcY9/vjjBfJbsGBBucvbqVMnkpOTOXXq\nFNHR0Xz11VcFmiZ5W7t2Le3bt6devXokJSVRq1YtRISvv/6aRx99tND0r7zyCm3btmXdunW0a9eO\nH3/8kYiICGrWrMmFF16YfyX3LFTmeHjg2Cle+sxp0nU8K4eUtFPUjArnv3Vi+GlvGsmHTxJZM5Jw\nzeMvi7dwbj2Lh8YY6Byfzf70zPzhoycqrkMeT37e+Rfl2KkcDmScommzlnTs1IVsDSM3qhaHj2eR\nnavsT8/kzenT+Tl5Fy+/9gZZWVm8Nn06+9Mz+XL5F9z70HCGjfwzE54aw2sz/s5lbS4vNG7osMcK\nLPONuf8qsjxFldm7PAAtL72CpO072HkgjejoaP67bAX3DHrA7/xfLF9Jm8vboTG12fbTz5wiktSM\nU3y5cjW/v3dI/jwns3LZn57JzNdf4+JL2/DjxvVc2uZytm7ZRER4BDVq1qRlq1Zc2f6qErdrWaWf\nzM6PKeVxxiqUqvquiHT3GfeU12AYzpXZEoXnP0OZB0DDuBjqxMVw6MgJvtt+2CqUxpgqZe3ataxY\nsYJjx44xadIk3n77bQAOHDjAvHnzSElJ4e2336Znz568++67jBw5knPOOYe0tDTee+89VJXHH3+c\nli1bcuDAAR566CG+/fbbQuPKa/ny5fnlSUxMZMSIEdSoUYPp06fz6KOPkpCQQNu2bf12QvDll18y\nevRoHnnkEe666y66dOnClVdeybRp0/j+++/54osv+O1vfwuQ34qkbdu2AFx++eUAXHrppYBTiR0z\nZsxZW6EsTzyMiQjnBrfzufTMHH7Ym0FcTDhtGtcmMiqCYzmHkJNZHD5ykiZ1YuluHdUZY4C8I7uJ\nizn9sz82Moya0eEVlv+p7NwC+fvz3bdr+Wb1V2RnnmBi4rPMe+stwImFH7z7Tw6k7uOj9+fTp3cv\nPl64gEnj/0y9c87hWHo6Sz/+EFXl2adH07xlS9KPHmLYww/x/fffFRpXUjlK8sWKFfnlmfbSCzw6\n/I80PKc2r0x9jQljnqB+QgLt2l3OTb1uLDTvyq++ZNLEpxn60MPcfseddOnSmS5XX8WM16fzw8b1\nbFi7ml/f8hsAoiLDiIuJoP0VzrXFDldegYhwRds2APzy6qsZ+9Sf6dalU7nWpzgxkadjSnmIqlZA\ncQJcmBNAp6hqB5/xdYH3gVtV9bDvfM2aNVPvttWZ2Xlk5eRxz/2D+NPjw5jz9W7e+HQb25MP8+Cv\nLmTc79pW8poYY0LF5s2bufjii/OHg9FVunFMnz6dNm3a8L///Y977rmHpKQk1qxZw9GjRxERLrro\nIrZs2UL9+vVp0aIF7du3r5RyHDhwgI0bNzJq1KgC47/99ttkVW1eKQv1UdZ42KhJC23U6jLAeRfz\niaw8wgRu//3vaN3pRv71fQoZh46zacch7r+uFQM6N6/8lTHGVHl5R3ZzQevW+cPrdx2t8Fh4eZO6\nFVElfNgAACAASURBVJbf2ezNN17n0ssu4+eff+bOu+5me1IS33zzNWluLLyw9UVs27qF+Pr1ad68\nOVdcWTmx8OiRo2zZ/COPT5hSYPz6ZYtKHQuD3imPiNQBXgPu8xc8ARISEli7dm3+8Lb9x0k6eIJW\nCc6dyAa1oqkT5zwn8l3SoUovszEmdFnlL3gefPBBAK655hoAWrZsScuWLfPT33jjDcLDw+nfv3+l\nliMhIYFzzz23QFwBEJGDlbrgEgQSD+vUqcO8ec5V/VM5uXy7M52ocKFDs7rsy3CaUUmEcwd439GT\nZ6TcxpjQY5W/4Bn8wFAAOndxYmGLli1p4RUL//7mDMLDw/nNb2+t1HLUrVeX+Pj6+THFo22TuqWO\nhUGtUIpIfeBlYJSq7hGRW1X1vZLmy3+G0tMRQVwUtd2OBzbsPEp2Th6RESH5RhRjjKm2HnjggWAX\nIWjKEg8j3HdOZucpuaqcU8PpoC4XT4Wy5OeZjDHGVC33Dx4S7CKU2hmrdYlIN+BO4FwReUpEYoFP\ngbbA2yKyDLgnkLy830MJ0LhODFGR4dSqEcnJrFy27E2r+BUwxhhjKkBFxcNwEWpGhaMKGZk5RIWH\nUTsmgsgo57mo/Wl2h9IYY0zlO5Od8iwHlvuMvrIseXm/NgSgYa0oosKFWrViOHYim++SDtPGmrUZ\nY4ypgsoTDzNzclmyeX/+8KFjpzhyModdhzKIrxXNsROnOH4qh7DIMPYfO8WSzfsAe5WWMdVd5/hc\nMjJzgl0MU8VkZuey0iumlFXQn6Esi3CfCmVYmNCkbiz/qx3DvtQMvtt+mLu7nx/MIhpjjDEVLqFW\nNH+88cL84QPHsvg2OY3aMRF0Pr8eddbs5r8/HSJ111EyTmTzh6ua0qhubBBLbIypCjZv3kxDey+t\n8XE4NrJATAF4vIhpi1PqJq8i0lBEmotIVBmWVyHym7zmnu6htkm9mNMd82z325eBMcYYUyGqQiwE\nqFcjEhHnFSLZuXk0iosGoG4tp1i7Dh4PZvGMMcZUAwFVKEUkTESeEZG9wHrgS2C/iLwvIk0rtYR+\n+HbKA9C0bgxxtaIIDxN+Sskg7UTWmS6WMcaYs1hVi4XgxMO6sZEAHD6ezbm1nQplbIwzLtkqlMYY\nYypZoE1eJwGrgWdVNb/bOBFpBzwjIo+p6tHKKCBAWloaQ4Y4PR7169eP637VGzjd5BWgSb1YwsLC\niK8TS+qRE3y//TDdL21UWUUyxhhzFli4cCELFy70DNYpYfKgxkIoHA/79etHfM1IjpzI5tDxLBrG\nOXcmY2Kdv2t+Okj/q5tVZpGMMcaEuFLGwkJKrFCKSBjwmqru9E1T1XUiMgSIByotiNapU4cZM2bk\nD2fn5gFwKicPVUVEaFrXae5as1Y0HDnByq0HrEJpjPn/7N15fFT1vf/x13e2zGTfCZAACTtCoBAQ\nxARQFK2lLsWltlpbi1queqv3UtQitC4V72393dr+UNH6a6VWbeXqlVqvdUEDymLY17BlgezJJJOZ\nyTKTme/vjywCCZDJNiF8no8HD5lzvuecz0QevPmec77frxDn1NopA3j55ZfPOkV4f8hCaJ+HAHHh\nFo5W1FHl8jImMQyDAmt485PKDfvL2nJSCCGE6Ehns/BszvvKq9ba3xqgSqnwDvY3aq2LA71wd5iN\nBkwGhc+v8baMowwLMZEQZiGqZfKB7IPlfVmSEEKIAaw/ZmGrKJsJo0Hh9vho8msSwi1EhIcQHWbh\nZFUdx8pcwShLCCHERSLQSXmeV0plnfIrUymV3CuVnUdoyzpbdR5f27ZRCaHERNkwGRW7C6qpdss4\nSiGE6GmrV68mIiKCioqK07bfcsst/OAHP+DAgQNBqqzP9JssBDAoRWxo85jJKreXpIgQlFJMTo0F\n4LP9pcEqTQghBizJwq8FumzIGOApIA9IAxoAlFLvaa1/18O1nZPNbKC2Aeq9PqJpDtLRCWFszq8h\nOSGc/FInXxwq51vTgpbxQoj+6MQ2aAj4bY6zs0ZByoxzNsnOzmbFihXk5eVx5MgRLJavJwZdtmwZ\na9eu5YknnuDHP/5xz9XVBTNnzsRqbR4+YDQa+eSTTzpsN336dK699loKCgpISEgAYMeOHTidTp5+\n+mlGjx7dZzUHSb/JwlZxYWYqXB4qXR6SIkPYXewkbUgkn+8r5Z1tJ7j7ilHy2qsQ4muShWclWRi4\nQDuUH2itn279oJT6mdb6P5RST/VwXedl6+AJ5ej4UACiomxQ6uTzA2XSoRRCnK7BAWHxPXc+d+V5\nm2RlZTF37lzq6up45ZVXWLJkCQDl5eVs27aNIUOGBD1AAa655hp+8YtfnLddQUEBmZmZFBYWkpGR\ngdYal8tFeXn5xRKg/SYLW8VHWKDM3dyhbJmYJ3lQJLHhFrYft/PJvlLmTxocrPKEEP2NZOFZSRYG\nLtAO5ZAzPo9s+W9tD9QSkNZXXus9/rZtKTE2QowGQsKaJyP4eE+pTEYghOg3VqxYwZIlS7j77rsJ\nCQlh9erVLFmyhGeffRYAl8vFrbfeSlZWFrm5udx+++3Mnz+f3NxcVq1axaRJk9i5cyePP/44Wut2\n28aMOX1x4kWLFuFytR8/t3z5ci6//PJ22/fu3cuzzz5LfX0906dP57rrrjvrd0lJSSE/Px+AzZs3\nk5qaSmJiYjd+OheUfpOFrcIsRmxmA/VeP1GhzdFe3dDEA9eO45d/28Oqd/Yzd8IgTMaAl58WQoge\nJVk48ATaoWxSSr0PHKH5lZ9jSqkMYA7wHz1dXKuOpkm3mVueUHq/fkJpMihS42w0NPmIDQ+hpKae\nvYU1pA+P6a3ShBCi0yZOnMisWbNYs2YNt9xyCwaDoe01GQCDwcBDDz3E/PnzsdvtLFiwgPnz5/PB\nBx9gsVi4//77KSoqwmq18tZbb7Xbdqa33347oPqWLVvGjBkz8Pl8ZGVlERERQVZWVodtU1JS2Lhx\nIx6PB6UUu3btYsaMr1932rJlC4899hjr1q0jJqb//h3cxanSg5KF0HEeAiilSIiwUGhvwNRyE7Wk\ntpF/+/Y4XvnkCPtO1PDCPw/zwLXjerM8IYQ4L8nC/qfXlw05ldb6X5VS3wQuAT7SWr/fsuvsXfce\n0NE06aGW5rus9ae88gowY3g0h8rdJMaHYXc18uHuYulQCiH6jZUrV7JgwQIKCwtZtmwZ+/bta9un\nteazzz5j8+bNmM3mtoH+ixcvZtWqVWRmZjJ27Fiee+65Dred6YYbbujwruzKlSvJzMxst701BI1G\nI5mZmWzYsKFdiDocDqKjo0lJSaGwsJAtW7aQmZnJihUrmDlzZlu7mTNnkpaW1q8DFLo2VXqwshA6\nzsNWCeEhFNobaGzyYTYoHA1NoODXd0zju7/dxH++d4ArJyUxITm6t8sUQohzkizsX7q7bEigTyjR\nWv8D+AeAUupGrfU7gZ6jJ7Q+oaz3+vFrjaHljuzckbG8u7cMa3jzHYqPdpew9NuXBKNEIYRoZ8KE\nCWRlZWGxWIiPP338yiuvvEJxcTGvvvoqHo+HF198EYCtW7fyyCOP8OSTT7J06VJee+01pkyZ0m7b\nww8/fNr53n333U7XdejQIb744gvuvvtuAI4cOcKNN97Yrl1OTg7Tpk0jJiaG48ePEx4ejlKKbdu2\n8eCDD3Z47ueff5709HR27dqF2WzGZDIRFhbGmDFjTruTeyHpL1l4qrgwM0aDwtXoJyHcQnFtI6W1\njcybmMQdWamszc7jxy9s4cPlVxJhMwe7XCHERUyycGBkYauAOpRKqSuBZ4B4QAGRQFBC1GBQWE0G\nGpr8NHj9bWMqLSYD145P4C91HkxGA3sKayi21zEkNjQYZQohBDk5OWRnZ+NyuXjmmWd4/fXXAaio\nqGDt2rWUlJTw+uuvs2DBAt5++22WLl1KbGwsDoeDdevWobXm4YcfJi0tjYqKCpYsWcL27dvbbeuO\nyMhI3n//fYqLi6mtrSUlJYXbb7/9tDabNm3ikUce4YEHHuDOO+9k9uzZTJ06ldWrV7Nz5042btzI\nTTfd1Na+dfx6eno6AJMnT27bNmvWLB599NELMkT7UxaeymBQJEZYKHE0EmUzUVzbSJGjkdS4UH55\ny2Ryjtk5WOTgmXf28avbvxHscoUQFxnJwoGVhadSWuvON1bqFWApcA/wHPBvWutVvVRbm4yMDJ2T\nk9Nu+7a8Gux1XqYNjyIh/Ouph+s8Pn767kE27zhBRZWbZ7/3DX4wd2S744UQA9/BgwcZP3781xuC\nMFX6xeaFF15g0qRJHD16lLvuuovjx4+zdetWampq2kI0Pj6e1NRUpk2bFpQa2/25AJRS27XWGec7\nNlhZCGfPw1ZltY3sPFFLXnUdX+TXMDI+lF8saF4y5OBJB1c88RFmo4HNT1/DULnRKsRFQ7Kw7w30\nLDxVoK+85mqtq5VSJq21VykV1BeCQ0OM2Ou81DX6IPyU7RYjC8bGc7TQTkWVmw93l0iHUgjRTAKv\n1/3kJz8BaJs9Ly0tjbS0NABeeuklDAYDixYtClp9PSB4Wegqhw3PnHV3vIbRVW5G+DTJNW4aq6DE\nE82QiBDGAy+OPklucS37/7yBoZPOnKxWCDFgRc+D2pKvP0elNP/qSaeeX/CT790AwOXpI6G2hLR4\nG2nXzQXgpVfXNmfh1dc3Nw7Wz67Bcc5M6axAO5RzlFLbAWvLHdqgLrIS1vKaq9vT1G7f1ePiWber\nmAO55Ww6VI67oYkwa8BDRoUQQvSge++9N9gl9ITgZaHZCmOvOetuI9BU5sbu9mKM97Irv4aSOgs/\nmTockwHSY1z83zVb+eKYkXk3zsFslGW1hLgo2A3NTxFFv3DvkvuDXUIzs62DTHks4NMEuiDVrcCX\nNI8d2QMsD/iKPaitQ9noa7cvIsTEpSNiiYyw4mny8+Xhir4uTwghxMDUr7LwTHFhzUNABodbiAk1\nU+bysLWgBoDUxHBGJIZR7/Wxt6A6mGUKIYQYIAJ9ZKeAa4EIwAE8CGzs6aLOdLZ1t0JDWtai9LTv\nUAJcOiKaN2Js1Dob+DK3gqvSB/d2qUIIIS4gXVx7KyhZCOB2u3nq6acByMrMIiur/ZT30aFmFFDf\npLl6bBxv7Szl0yOVTE2OxGY2cOmoePLL3Ww9WsnUtNi+KFsIIUQ/lp29keyN2a0fe3cdSuDvwC6g\n9bZmnyTR2dbdCj116RC/xmA4/dWdKUMjGBQbRn5hNZ8fKOuLUoUQQlxAurj2VlCyECAsLIzlP//5\nOduYDBATZsLubsJqNDIi1ka+vZ6dJ2u5LDWamaPjeevLArYcqeS+q8ag5K1XIYS4qGVlZbbdoHx8\n9bpeX4fyqNb6p60flFJBHUNpMChCLQbqPH7qPD7CzxgjaTUZyRyfwLbdJzlY5MBR5yEq1HKWswkh\nhBCd0q+ysCMpMTaq3U4qXB4uSQon317P5oIaZg6PZtzQaCJtZkqq6ymscjM8PizY5QohhLiABdqh\n/FAp9UPgWMvnO4DFPVtSYEItJuo8HtwddCgBpqVEExVhpaa2ga1HKrl6ssxqJ4QQoluCl4XeBsj9\n3/M2CwMmNDRRVtuI0aCY7XXjrvBz5MscxiaE88MhJ9l/spbSrSUMHxV/3vMJIS5w0fN6dpkQMTB4\n6yF3Q7dPE2iH8odAI1DT8nlSZw9USiUBTwGTtdbTz9j3c+AhrXXAqRZmMVIJuBp9DOpg/6TBEURH\n26ipbeCL3ArpUAohhOiuLmchdDMPwxNh3qOduk6k1uw/XkNtQxMozbs7SnjPC49NGElTeDXPrdnK\nlzXxvDtvbiDlCyEuRAcPQqTMJSLOYK3pIFN6f5bXSq31jVrrH2qtf0hgd2QvB/6H5skM2iil5tKN\n8ScRLU8lnQ3tlw4BiA+3kJoUCcDmI5VdvYwQQgjRqjtZCL2Uh2dSSjEqMRSAEKOBa8fH49fwu40F\nTB0Zh8mo+OpoFdVuT09dUgghxEUo0A7lbqXUPKXUMKXUMGBhZw/UWr8NOE/dppQaRPP0678LsI42\nkbbmDmXtWTqUAJljEwA4eNKBt8nf1UsJIYQQ0I0shN7Lw44khFuItpnwNGmmJEUyLjEMR0MTb+4q\nZeboeHx+zUe7ZTFyIYQQXRfoK6//Dhw65fMw4ImuXFgpZQB+1XLOc05PW1FRQUZGRrvt99xzDz9e\nvBilmpcO8fr8mI3t+8iz0mKxWc3UN3g5VOxg0rCYrpQshBACWL16NcuWLeP48eMkJCS0bb/llluw\n2WwsW7aMCRMmBLHCc6uoqKCkpIQ77rjjzF2dHXbRY1kIPZeHrctrnXFuJgyO4Mvj1ZyoaWDeyFjy\n7PXsLnYyZ2ISmw5V8NJHh7l51jCUTPcqhBCdJln4tUA7lI9qrf/Y+kEpNT/QC55iKuAF7gViAJtS\n6hFgndb6yKkNExISyMnJOeuJIkJM1DY04WxoIjas/Syu45PCiI60Ut/g5cvDldKhFEL0qezsbFas\nWEFeXh5HjhzBYvn676lly5axdu1annjiCX784x8HrcZjx46xfPlypk6dysmTJ4mLi2PFihUdtp0+\nfTrXXnstBQUFbSG6Y8cOnE4nTz/9NKNH97tJT0+TkJDA4MGD2+WKUqqz4yJ6MguhB/OwI5E2E6MS\nQjlaUYezwUdarI2D5W4iosNIjLKy/6SDT/aVMn+SjK8SQvQeycL+pQeysM15O5Qtd05jtNZVpwYo\ngNb6Y9V8SzNWa10VyIW11jlATss1RgB3a61XBXKOVpG25g5lbX3HHUqrycjooZGUlDv5/GA5987v\n3/+DhRC9Z3fFbpwe5/kbdlKEJYLJCZPP2SYrK4u5c+dSV1fHK6+8wpIlSwAoLy9n27ZtDBkyJKgB\nCmC327ntttu4/vrrAZgwYQLXXXcd06ZNa9e2oKCAzMxMCgsLycjIQGuNy+WivLy83wdoV/VWFrYc\n32N5eDajEsMYEm1le4GDETHNHcothTUsvnIUT//3Pn7x1z1MHxknS2sJcZGQLOyYZGHXnLdDqbX2\nK6WWK6XWaa03nbpPKTUY+AXQcdf99LZzaJ5afbBSajnwG611vVJqFHAfzXdklwP/R2vtDuRLRLZM\nzOM4xzjK2WMSyN5ZxN7C6rO2EUIMfE6Pkxhrz72lUN3Q+b9TVqxYwZIlS7j77rsJCQlh9erVLFmy\nhGeffRYAl8vFrbfeSlZWFrm5udx+++3Mnz+f3NxcVq1axaRJk9i5cyePP/44Wut228aMGXPa9RYt\nWoTL5WpXx/Lly7n88stP2zZ9+mmTjeL3+wkLO/v6hCkpKeTn5wOwefNmUlNTSUxM7PTP4kLTU1nY\n0r7X8vBcQi1GpqRE4m5sIsZmprreyyXpSYwbGsmholrue3krf37gcowGefVViIFOslCysCd19pXX\nx4DnlVJ/BaqAJppnoisC7tNal53vBFrrz4HPO9h+lOZxI//e2aLPFG0zA2B3e9FadzgO5JvpSaz6\nq6KipgGH20NUB08yhRCiN02cOJFZs2axZs0abrnlFgwGw2njLgwGAw899BDz58/HbrezYMEC5s+f\nzwcffIDFYuH++++nqKgIq9XKW2+91W7bmd5+++0u1fnOO++wYMECxo0bd9Y2KSkpbNy4EY/Hg1KK\nXbt2MWPGjLb9W7Zs4bHHHmPdunXExAyYYQbdzkLo3Tw8nwiricHRVkbHh7LthIPNhTX86V9mc+2v\nPmHDvjKeeHsPv7zl3E8ZhBCiOyQLB55OdSi11vXAYqVUGDASCAFOaK1Le7O4zoqwGrGZDdR7/VTX\neTt87XVkQhjRESFU1zbw6YEybpyeEoRKhRAXu5UrV7JgwQIKCwtZtmwZ+/bta9unteazzz5j8+bN\nmM1mKioqAFi8eDGrVq0iMzOTsWPH8txzz3W47Uw33HBDh3dlV65cSWZmZof1bdiwgQ0bNvBf//Vf\nHe53OBxER0eTkpJCYWEhW7ZsITMzkxUrVjBz5sy2djNnziQtLW1ABWh/z8LOGhZrY4Tdxo6iWg6W\nubGEmPjDT2Zx83PZvPTREcYNjeK7s0cEu0whxAAmWTiwBDQpT8urN3t6qZYuU0qRFBlCXlU9pbWe\nDjuUBqUYNSSSr2ob+ORAuXQohRBBMWHCBLKysrBYLMTHnz6R2iuvvEJxcTGvvvoqHo+HF198EYCt\nW7fyyCOP8OSTT7J06VJee+01pkyZ0m7bww8/fNr53n333YBqe//999m4cSO//e1vKSkpoaCggFmz\nZp3WJicnh2nTphETE8Px48cJDw9HKcW2bdt48MEHOzzv888/T3p6Ort27cJsNmMymQgLC2PMmDGn\n3cm9UPTXLOysaJuJhHALw2NsHKuq4719Zdx72TBW3f4N/n3tDpb9eQejBoUzfVTAE/0JIUSnSBZe\n+Fl4qkDXoey3kqJCACirbURr3WGbS0fFAbArz95ndQkhRE5ODtnZ2fz+97/H6/Xy+uuv8/TTT1NR\nUcHatWspKSnh9ddfZ8GCBRw5coSlS5fym9/8BofDwbp167Db7Tz88MM8++yzVFRUcOONN3a4rTu2\nb9/OrbfeypYtW5g3bx7XX389ubm5p7XZtGkTjzzyCOvXrwdg9uzZTJ06ldWrV7Nz5042btx4WvvW\n4Qfp6ekATJ48mUsuuYSxY8dy88038+abb3arZtE1SinGJYUzcVA4BgWbjldTYK/n+1lp3H3FKDxN\nfn64ejMnq+qCXaoQYgCRLBy4WajO1vnqT0aPHq3nzZsHwMKFC1m4sP0a0lprPj9ip8Hr57K0GCJt\n7R++7si3882nP8ViMXL8+esxdbBmpRBiYDl48CDjx49v+7ypaFOPT0Rw+dDLz9/wIvLCCy8wadIk\njh49yl133cXx48fZunUrNTU1bcEaHx9PampqhzPn9YXWPxfr169v+0fByy+/fFRr3a+n5utMHnbW\n3iIn/7OvjEMVbsYkhLH86pH4/Zrv/nYTGw+WM3l4DO8/Ok+yUogBQLKw711MWXhBdCgzMjJ0Z9bd\n2lvkpKimgbGDwkiND223X2tN6v3v0uDx8bvFl3LzDHntVYiB7swQDcZU6eJrL730EgaDgcWLFwe1\njjP/XAAopbZrrTOCVFKndDYPO8Pr8/NpbhV/21NKQ5OfH85I5soxcVS7Pcx/4mOK7HX88pZ07r1q\nzPlPJoTo1yQL+5eBloUBjaFsmdLcSfMCzHcC72itCwI5R2+KCzdTVNNAldvTYYdSKcXlE5P4eEcR\nL318RDqUQlyEJPCC69577w12Cd3W37Ows8xGAzNTo8m317Mxv5o3dhQzZWgEcWEWnrl9Cnf+/kue\n/Z/9XDc1meS49pkqhLhwSRYG10DIwlMF+h7L44ANeA4YAqzs8Yq6Ia5lMh6724vP3/GT1wevGYtS\nsC/PzrtfnThrOyGEEOIs+nUWBiLKZuayEdEkR1lpaPLz/7adRGvN1ZOH8K1pQ6lr9PHoX3aedW4C\nIYQQItAO5U6a19sap7X+GXCo50vquhCTgYgQI34NNXXeDttMHxHDyJTmd8bvW7OV6/9jAwUV7acS\nFkIIIc6iX2dhoEYPCmNWShRmo2JXkZONx5sXKH/qtilE2Ex8tKeED3eXBLlKIYQQ/VWgHcp04Hng\nQ6WUDUjr+ZK6Jy68+SllhcvT4X6lFPddO5axoxKICDWTc8zOFb/8mLe+zO/DKoUQQlzA+n0WBsJq\nNjIjNZqMoVEA/L9tJzlZU09StI1l108E4NfvHZCnlEIIIToUaIdyFXAQyAG+A3zS4xV1U2JES4fS\n2XGHEmD+2ARShkZz6bRhfPMbQ3E3NvGv/y+Hn63dgafJ31elCiGEuDD1+ywM1OAoK9dPSmR4tBWv\nT/Ofn+ZR7/Xx/axUBkVZ2Xeihk/2lQa7TCGEEP1QQJPyANcD3wQKgT8C1wB/6+GauiU61IzJoHB7\nfNR5fIRajO3aJEWEMDEpnH2lLm6dN5KrJg/mkT/v4LXs41jMBp66bUoQKhdCCHGBCFoWVtZXsnrX\n6l47f3Sij12OKkqdfu5818ys1Bimzaxmw4EynsjexmHfiF67thCi92SoDMrryoNdhuhnnB5nj2RK\noB3KcK31PKXUMq31BqXUzG5X0AknKhxc8eBvABg7Zgxjxo49Z/vS2kZcjU1sPlZOtM3cYZtKRz0F\nZQ6e/8TF/LHx3Dw3jTe/yOePX+bRZFIMirL1+PcQQvS9y+K8lNU2BLsM0c/U1nv5Px8d5nBuLrmH\nD7dujurk4UHJQgBfg49Nf9oEQFZWFplZmT1+jQnR9fzpqyKaGjRfHVYMjx6Nch7luN3H6KtnMCRW\n8lGIC42vxEeEJSLYZYh+xmq0MmfwHDZmbyQ7O7t1c2ezsE2gHcrWx32tAynCA71gV0RHhPHbn/24\n0+0rXI0cKa8jPMRI+tDIDtv4tKbUfRyXx8fopEjmj0+ivs7Df289wc4jlfz6jn69FJkQopP81SeJ\nsAb6V50Y6KxmI/PHD2L++EFAFgDpv/t3RycPD0oWAoSFh/Hz5T/v1WuMiLPxnfRBfHy4iqo6L4er\n6omPCaW43Mk/dxdz17yRvXp9IYQQfSszK7PtBuUb//VGZ7OwTaBjKH1Kqf8FvqWUehtwB3rBvhAb\nZsFkULgafbgamzpsY1SKqSnNHfBtBc0/tzuyRmKzGNlTUMOJqn751YQQQgTfBZGF3TEhKYI5abHM\nTYshPsxMVHTzU8mPdpfg88nkPEIIIb4WUIdSa72S5nW33gNe0lr/qleq6iajUm2T85Se41W3jJYO\n5b5SFxWuRsJCTGRNGATAP/fIFOlCCCHau1CysDsMBhidGEqYxcTkpAhio2xYrSYqnY1s2FcW7PKE\nEEL0I4E+oURr/U+t9a+11h/1RkE9ZVBkCAAVTi/Oho6fUsbYzExNjsSvNf84VIFGs2DyEAA+3l2C\nzy8zvgohxJnWvPgCg+JiqKioOG37Hbd/l8V3/5CDBw8EqbK+c6FkYXeEW02MiLMRYjIyLNrKz7Sb\nkwAAIABJREFU4KTmm7B/2ZQnTymFEBe9l154icSYxHZZ+P3vfp/FP1zMwQMHg1RZ3+vUwCKllNJa\na6XUsDN23ae1fqwX6uo2m9nIkKgQih2NHKlwMzk5EqNS7dpdNTaeA6UujlbUseOkg6kpUQyNDaXI\nXseugmqmpcYFoXohRG9p2L0bv9PZY+czRERgnTz5nG02bdzIU0/8gvz8fPbsP4jFYmnbt/yxR3nj\nL6/z+IqV3PWju3usrq4oLS3liV+sYO+ePWz8cstZ203LyODqBddworCAhIQEAHbu3IHT6WTlL59g\n1OjRfVVyn+oPWdjQ1MDnJz7vi0sBoLXmpLuReoMXS4yb0Loaypv8PPFhIfMmDkJ1kKtCiP4nQ2Xg\n9Hydfd49+9EuV4+dX4WHY06/5JxtNm/azH889R8U5heyec/m07LwyeVP8rc3/sbPHv8Z37/r+z1W\nV1eUl5bzzBPPcGDvAT7c+OFZ242fMp4rrr6CQ8cOYY2yArBn5x5qHDUsfXwpyaOST/uZ90cNvgZy\nTuR0+zydnaliKzAD+BzIA1oTZBjQLzuUACmxNmrqvdR5/JTXNjK45X/2qcItJq4dn8A7e8tYv6+C\nxPAQ5k0cxJ+z89iwr1Q6lEIMMH6nE2NsTI+dz2evPm+byzMzycyaQ11dHX989Q/cc99PACgvL2d7\nzlcMHjw46J1JgM1ffsG3vvVt9uzefc52hYWFXDZ7NidOnGDqtAy01rhdbioqygdsZ7JF0LMw3hbP\nkilL+uJSbRz1XjYfryHSZ8fsqGLv/hI2ndCkksqz35uKwSCdSiH6u4MHD5IYmtj22enJxZSU1mPn\nb7LbiTjl/B25/urr2fnlTv7xj3/w3l/eY8mS5r/LysvL2bdzH8lDk3l4ycM9VlNXZe/I5rbv3MYv\n9/3ytJ/ZmZxlTubPnY+r3EViaCJaayw+CzVVNcxM77PJv7ulylLFkvGnZ8q/8C8Bn6dTHUqt9YyW\n3z6otV7ful0p9c2Ar9gFbrebp59+CoDMrCyyMrM6dZxRKVJibOSWuSl2NDAoKgQD7YNvanIUxbUN\nbC1w8MaOYr49Lp4/Z+fxxaFyHrh2HCGm9mtZCiFEoB59bDk//dcH+MEPf0RISAgvv/Qii++9j+d+\n/Z8AuFwu7vze7czOzOTI4VxuufW7XHHllRzOzeU3v/4PLrlkIrt37+KRR3+O1rrdttFjxpx2ve/d\ndiuuDu5AL3v0US6bfXm77Tfe9B2yP+/c06/k5BQKCvIB2LplMyNGjCAh4dz/mOiPsjdms7GTU6UH\nOwsBHA4H99xzDwALFy5k4cKFvX7NKJuZmFAzo+NCKaxpYPbUZLbtLmJtdh5NPs1zP5gmTyqFEJ22\nYsUKlixZwt13301ISAirV69myZIlPPvss0BzFt56661kZWWRm5vL7bffzvz588nNzWXVqlVMmjSJ\nnTt38vjjj6O1brdtzBlZuGjRog6zcPny5Vx+efssXLRoEZ999lmnvktKSgr5+fkAbN68mdTUVBIT\nL7wsXL9+PevXt8Vary8b0rb4lFIqHZgH/CPQiwbKGGLl0psWA+ABPj4YyIQAmsKqejx+TUGVm8iz\nLB9gURrl85FfUc8b9R6S4kMpdzTwavZxRg/ueOkRIUT/d1mc77Rx1B6PD0Ojr8fO7/f48J1lnPap\nGpv8DBs1jqkZM1j94ktcf+N38PohNDIWnx+cDU3Uefzcfd/9ZM27gmq7ndtuWsiHs79g/fv/QBnM\nfO9H93JFcTHKEsJ7//12u21njhd/8Y+vn7Wes40tr/P42uo5m3qPj2HDU9iQnU1VbR31Xj9bc3Yw\n6RvT2o7b/tVWfvXLlfxh7RtEx/TcE+Ge0uD18eXBMogfy6U3Na9t/NaLv+7sVOlByUKAqKgo1qxZ\n0xeXOs3wWBt2t4fIEBO1WHn8tm/w1Fu7eOOLfOZNTOLbGcl9XpMQ4sI0ceJEZs2axZo1a7jlllsw\nGAxtwycADAYDDz30EPPnz8dut7NgwQLmz5/PBx98gMVi4f7776eoqAir1cpbb73VbtuZ3n777V77\nLikpKWzcuBGPx4NSil27djFjxoy2/Vu2bOGxxx5j3bp1xPTDLGx16g3Kl19+OeBlQwLtUI5r/Y3W\nek9f3ZFMCA/hoavGnL/hWZyw17O/xEVcmJnpI6LP2u7HmV4eXX+Y2sYmrrrEymufHsVb19Stawsh\nguvgwYMMivw6YJyhFkxhIT12/qZGCxGR7QPsTOEhJhIiQnjmqSdYsGABNeUlLFu2jH379mE2KgZF\nWnEbfez+6ksO7dmO2Wymxl7FoEgrDz+whFWrVrHouqsYO3Yszz33XIfb4s+o44YbbujwruzKlSvJ\nzMzssM7YMEtbPR1xOByMGJJI+vhRvFxaTN6BXXzzyjmsWLGCKzIvazvum1fO4b/fGMXY4YPP+7MJ\nBrvN3O7v9gBetApKFgZTYqQFm8XImPhQcopqOeb0sGLRJB79yy4e/ctOssYnEh1mOf+JhBCC5hxa\nsGABhYWFbVnYSmvNZ599xubNmzGbzW2T3ixevJhVq1aRmZnZlnsdbTtTV7LwfBwOB9HR0aSkpFBY\nWMiWLVvIzMxkxYoVzJz59euuM2fOJC0trV93JntCZyfl+Vfgp0C0UuoumseNNAHv915pPScpKoQD\npS6q3F4avD6s5o5fYY2ymrn1G0m8vOUkVS0PMD7aU4yrwUu41dyHFQshBqoJEyaQlZWFxWIhPj7+\ntH2vvPIKxcXFvPrqq3g8Hl588UUAtm7dyiOPPMKTTz7J0qVLee2115gyZUq7bQ8/fHqX6N133+3x\n+nNycpg2bRoxMTEcP36c8PBwlFJs27aNBx98sMNjnn/+edLT09m1axdmsxmTyURYWBhjxow57U5u\nf3ehZ2F3GJRidGIY7kYfB8rdFFY38K1LhjFzdDxbjlTy6oajPPytCcEuUwhxgZAsvHCzsCOdWjZE\na/1brXUqcI/WOk1rnaq1Hq21/mlnL6SUSlJKvaKU+uqUbRal1KNKqQeUUi8qpZ7uwnc4L7PRQEJ4\n67qUjedsmzkyluExVhpRjEuOosHr54Odxb1RlhDiIpGTk0N2dja///3v8Xq9vP766zz99NNUVFSw\ndu1aSkpKeP3111mwYAFHjhxh6dKl/OY3v8HhcLBu3TrsdjsPP/wwzz77LBUVFdx4440dbuuuzz//\nvK2ep556ivr6+tP2b9q0iUceeaRtnMXs2bOZOnUqq1evZufOnWzcuPG09q1P7tLT0wGYPHkyl1xy\nCWPHjuXmm2/mzTff7HbNfaknshCCm4fdMSQqhNgwMxOTwgF4Y3sx91/b/LrwK58cxd14/le/hRAX\nL8nCgZGFHVFan38tqZ6YKl0ptQhoBFZqrTNatj0OfK61zm75nK613nPmsRkZGTonp3tT2pY4Gth9\n0kmUzcSstHM/dt543M5LX56grsbNl7uLmTdxEG/8a9ceiQshguvgwYOMHz++7XPdrt34amt77PzG\nyEhCp5x72ZCLzQsvvMCkSZM4evQod911F8ePH2fr1q3U1NS0BWt8fDypqalMmzYtKDWe+ecCQCm1\nvTWfOtJTy4YEOw+7o87jY1t+De/uK6Oyzsv0lEg+/CKPHXl2nv7uFO6+YlTQahNCnJ1kYd8bqFnY\nkT5bNkRr/bZSau4Zm28HCpVSU4E44HedrCdgCREhGJQTR33TOV97Bbh0eDR/2V6MJ8yK0aDIPlBO\nRW0DCZ0YJyWE6N8k8HrfT37SvCxK6+x5aWlppKU1T0//0ksvYTAYWLRoUdDq64YeWTakO3nYVFlJ\n+e9+H2DZPWus1txSWce+Uid+DXdbjUwsKKfq/35B+f406GA2dSFEcPlmzMBbVt722Tx4MObBPTvG\n/dTzC/jxTd8B4NLRY/CWlZMSFk7KFVcC8PJrr2EwKK6/8SYgeD87X62zRzIl0GVDVmit17Zu74Gp\n0kc0n17/l1JqPvBXYG43z9khk0ERH26h3Omh3OlhWKztrG0tRgNzR8Wxfn85o4ZGkXuihne2neCe\n+QN6fTUhhOh19957b7BL6LJezELoZB4arFYi5s3rgct1zyS/nxP7y/nqZC3HtGa/qxRXvZerx05j\n7JCAZ5wXQvSySp8PY2REsMsQLe67P/C1HntDT2VKoLO8PtAyRfqftda7tdbdnSa9luY7vgCbgEyl\nlFFrfdqc/hUVFWRktH/yes8997Stx9UZgyJDKHd6KKttPGeHEmDuqFjW7y8nNMoGJ2p4e0uhdCiF\nEGIAqKiooKSkhDvuuOPMXfEdte9AT2chdDIPHQ4Hd9zx/XYH33TTTdzYcqe7L5gMBq4en0CZy0Nh\nTQPxsWG4imr4cFeJdCiFEOICUF1dTWVVJSv+7d/O3NXZLGwTaIfyB0A+cIdS6h5gg9a6O4u7fAKk\nAbnAcODYmeEJkJCQQE+MGUkIt6AAu9tLY5OfENPZ5yQaFBHChKRw9vr9hIYY2VNQzeGSWsbImpRC\nCHFBS0hIYPDgwe1yRSlV2clT9HQWQifzMCoqirVr/9zNS/UMq8nIteMTWZtzkvAoKxTBhgOl3HPV\nKKzmQP95IYQQoi/FxMQQHxffLlPWTZrY2Sxs06lZXk9hBHw0TyYwHbivswcqpeYAdwCDlVLLlVI2\nYCnwHaXUo8DPgfa3XXuQxWQgPtyCBk5W15+3/bxRsRgNBpKTmu+2vr25oDfLE0IIcWHochZC/8jD\nnpIcHcL05GhCbRbCw0Ooa2hi06GKYJclhBCiDwV6C/HPQCTwAXCX1vpAZw/UWn9O80QGpyoCfhxg\nDd0yPM5GhctDob2B1PhQDOdYkHpaShThFiMR0TYogHVbT/DIDRMxGGTCASGEuIh1OQuh/+Rhz1Bk\nDI9ib6mz+bVXVyP/u6uI+ZN6drIPIYQQ/VegHcpcYLHWuufmGe5jcWFmwkKMuBt9fJXvYFRiKHFh\nlg7bWowGLk+L4YPGJqLDLRTZ69hypJLLxib0cdVCiO7QWrdN0S1EZ5bLOo+gZaG/oQHnhg19fdlz\nMqKZVeIiusrFEHs1frvmcFgZg2NCg12aEKKFf8Z0mhy1koWijdYaf0M9zm1fnb/xeQTaoby9ozEd\nFxKlFOOTwtl9spbqOi9f5TuIDTUzKjGU2A46lnNGxfK/hyqJiw+nxmXnf3JOSIdSiAuI1WqlqqqK\nuLg4CVKB1pqqqiqs1m4tAxW0LDTFx5P4wP3BuPQ51VfV8/eN+Xyxp5j8E9Vs11F8uORKTMZAR9YI\nIXqDOy+PWpNRslAAX2dhWGJi+0x58IGAz9epDmXrYs7A0DP+EAa0mHN/ER9uYc7oWArs9eRV1mOv\n87It30FChIUJSeHYLF+vUZkSbWNUfChOVyPH8u38fXsRT982RUJSiAtEcnIyJ0+epKJCxnWJZlar\nleTk5ICPG2hZ2JOGRocwZUgkxY4Gyipc7D/p4P+8f5Cl374k2KUJIZAsFO11NQs70tknlD2ymHNX\nORyOtuVBFi5cyMKFC7t9TpPRwMiEMIbF2iioqievqp4Kp4fNddVMSYk87WnlvFGxHKlwExUeQpWz\nkS9yK5gzYVC3axBC9D6z2UxqamqwyxD91Pr161m/fn3rx/OtdxHULITeycOeYDIamJYcya7iWsaP\nSWTnniKe+/tBpqXFccXEpGCXJ8RFT7JQnEuAWdiOCmQsiVJqodZ6/Smfv9lD62+dU0ZGhu6JZUPO\npdHrZ09RLVVuLwYF04ZHtY2tbPD6uH/dAfYfqSCv0M6imcP4/d0zznNGIYQQFxKl1HatdftFj9u3\nC0oWQt/kYVe5Gpp4e1cpHx+t4sQJO7nHq4gJs/DR4/NJjpPxlEIIcSHobBaeKtD3Nm2nXCwdmBfg\n8f1WiNnAtOFRDI224tewo9BBbb0XAKvZyKwR0QxOikAB63NOUulsDG7BQgghgmXAZmF3hFtNTBwc\nTmK4heTkGMYNi6ba7eGel7bQ5PMHuzwhhBC9JNAO5bjW32it9/RwLUFnUIqJQ8IZHBWCzw87Cmtp\n8DbPuzB3VByhNguJ8WE0Nvl5Y1NekKsVQggRJAM6C7tjVEIYU4dEopRi8LA4kqKt7Miz88I/Dwe7\nNCGEEL2kUx1KpdS/KqXygIeUUseVUnlKqSOAuXfL63tKKSYNiSAm1ERDk5+dJ2rx+TVpcTaGxVgZ\nPLj5teI/fHoUd2NTkKsVQgjRVy6mLOyq6FAz45PCGRUXitFoYPrEIQD853sHOFrqDHJ1QgghekOn\nOpRa699qrVOBe7TWaVrrVK31aK31T3u5vqAwGBTfSInCZjbgqG9iT1HzUmPzRsURFxNKfLSN0poG\nfv+/uUGuVAghRF+52LKwq8YnhZORHInVZKDeaGT2hEF4mvys/OvuYJcmhBCiF3T2CWXrTHZblVLD\nTvn1q16sLagsJgNTh0VhMijKaj0cLnczZ2QssaFmRoyIA+CFD3PJL3cFuVIhhBB94WLMwq4ItRiZ\nNiyKmcOiAbDEhBFuNfHJ3lI+3lsS5OqEEEL0tM6Oodza8t/PgT8Cf2r5dWsv1NRvRFhNTEmJRAF5\nlfXUeXxcP2kQ0VE20pKjaPD6+fe12wlkplwhhBAXrIsyC7ticJSVS4dHkxZrw2gy8o2xiQCsfGs3\nniaZoEcIIQaSTq1DqbVuXSPjwTOnSu+Vqs4QzHW34sMtjIi3kVdZz8FSF3PSYnh/fwWeYXFUVNWx\n6VAFb2zK5/ZMWdtHCCEuNIGsvRXsLIT+uw5lR8YnhTPbEcNJRwP+yFCGxoZyrMzFq58e5b6rxwS7\nPCGEEC36eh3KUYAT8AJ3Au9orQsCvWiggr3uVpPPz8aj1TQ2+UkfGsHRqjrWbD6B21HH5l1FxIRZ\n2PTkAuIiQoJWoxBCiO4JYB3KoGQhBD8PA+Wo9/KnbUVsO+HA424gO+cEETYTXz51DQmR1mCXJ4QQ\n4gx9sQ7l4zSvv/UcMARYGeDxFyST0cDoxDAAcsvczBwezZCoEEIjbYxLaV5n68l1e4NcpRBCiD5y\nUWZhV0TZzHxzfAKRISYsYVYmjYjFWd/Eqnf3B7s0IYQQPSTQDuVOoAgYp7X+GXCo50vqn4ZGhxBp\nNdHY5Od4ZR13ZgxFKUXi0GjMRgNvfpHP1iOVwS5TCCFE77tos7ArRiaEMmdkDABxSc2T3f1lUx5v\nfZkf3MKEEEL0iEA7lOnA88A/lVI2IK3nS+qflFJMGByOAvKr6kmKCOGyEdFYQsxMHpMAwNK1O3A3\nyNqUQggxwF20WdgVSikWTkxkULgFU4iJqzNS0Bp++sccvv3sBm74z8+47plPueelLXy8twS/Xya6\nE0KIC0mgHcpVNN+JfQaYCXzU4xX1Y9GhZkYlhgKw+2QtN04aRIzNRER8OInRNg6X1HLfy1vxSRgK\nIcRAdlFnYVeEWkxcN755plevLYT7vzkOg1JsO1rFlsOVbD9u572ck3z/+S/IXPEhb2/pkyGpQggh\nekCgHcpioBC4GRgG3NbjFfVzafGhJEZY8Po0h0rd/GBGMiaDgZGjE4mwmfloTwnL39wlS4kIIcTA\nddFnYVfMTothfGIYGnCaTOz69XX8+cHZ/O3hTP7nZ3NZ/p1JDI21cazMxf1/+IqH/piDV5YYEUKI\nfq9Ty4ac4u/AXqB1sGBsz5ZzFq5y2PBMn1zqfBQwWUOxo4F6jw+L0cDPzT721btpTPZSUlaL/yv4\nqm4QM0bGBXx+nwbQGNvWzxZCCNHPBCcLL3AhZgPfSU/iv7LzKXI08qecYn6aNQKT0UCTz09qUgR3\nZKWyPuckj7+1mze+yMfT5Od3P5qOwdCciVpr8spd7MizY7OYyByXSGSoOcjfTAghLm6BdijztNYP\ntH5QSvXJ4otuj4+n3t4OQFZmFllZmX1x2bMyAkl+zf5iJ5UeP6FmA6FxjezKr6FKuTmWV8UnO+D2\n8DTSh0VT5mjAZFBckhzF4Bhbu/PtLazh/R1FHCqqpcxRj0Epxg2N5M45I5k8PLrvv6AQQlwksrM3\nkr0xu/VjZ9feCkoWwoW1DmVHxiSGce24eN7dX86uIif3rztApNVEpduDp/mOKqPjQ3nmzgx+vnY7\n67YWcqjIwZghkRTZ6zhS6qTa5Wk7n9Vs4AdzRnL/tWNlGRIhhOiivl6HciXwJXAY0MCPtNa/CPSi\ngcqYNEbnfPhWb18mYB6fZl+Rk4YmP5FWE+6mJjYcsXOkwM6JYke79kpB1vhBLMxIZvTgSEqr63jl\n06N8dbTqrNe4fnoKP5o3EpvF2JtfRQghLnpq6NTOrkMZlCyEC28dyo54mvx8dsTOO/tKcTb62raH\nmg00Nml8Lf8uSbQoPt5WSLmj4bTjLWYjUZFW8GsqqusAsFmMfGtaMrPHJjBrTDzJcWEYDfKmjxBC\nBKor61AG2qEs4fTp0YdprUcGcsGu6K8dSoB6r599xU68Pk2MzcSohFBOOhp4Y3Mhu/PseJv8hFhM\ngMZeU982tlLR/K8QgNAQIzdMT+HycYNIiQ+l0evnnW2FvPlFPj6/ZnCMjQevHUf68BjMRglIIYTo\nDQF0KIOShTAwOpSt/H7N3hIn1XVetF/T5NM0Nvk5XFnH7lInPr/G5/cT7vNjNChOOBuxWc2MTAzD\n5fHjaGgCbxNNjjo+21922rnNRsX45GjmXTKI784ewYjE8CB9SyGEuLD0RYfyLq31H0/5PF9r/XEg\nF+yK/tyhhOZXcvcXO2nyg9VkIDnGSnyYhZoGL18VOthb4qSmvgmPt4nSMif26jo8Xh9mk5HoaCvX\nzxjGwklJ2Mynz5F0pNTJr987QF65CwCDUqQPj2ZhRgqZ4xKC8VWFEGLACqBDGZQshIHVoexIk1/j\nrG9ixwkHm/KrOVZVx6kTp09PjmJsQhgen58Nx+xUuD2EWYx8a0wsxRUuvsytYEeenYraxtPOmzU+\nke9npTF/UhKhIYGO9hFCiItHr3coWy6SDiQAuUCR7uQJlFJJwFPAZK319JZt04BHgBzgUuA/tdab\nzzy2v3coAeo8Pg6XuanzNs9IZzbAoEgrceFmGr1+CqvrafI3P8UcHhdGXaOXHUW1bDhix6fBalIM\nibKSEG4hOcpKalwo0TYTXp/mzS/y+efuYsprG2j9aV+VPpgHrh2H1RzoRL1CCCE60tkOJXQ9C1uO\n7XoeDvAOZSutNYX2BvYU1XK4sg4FDIpoycf4UOLCLORX1fHHr4oocTZ3HofHWJkyNJLEiBDCTAZO\nlLv4ZE8xf99+kgbv17PFDo62MWZIBA9/awKXjo4P0jcUQoj+qS+eUC4FvknzdOl/BK7RWi/r5LGL\ngEZgZWuRSqkPgDVa63eUUjcCS7TWV5157IXQoQTw+6HC1UiJo7GtY9kRkwFiQs2YjQbKnI1sKayh\nwuVt125oVAjpQyKYNDiCSKsJZ30TH+0t4dVPj+Jp8jNuSBTLF00kUSYiEEKIbgvgCWWXs7Dl+K7n\n4UXSoWzl82uqXB58WhNqMRJpNaFOmQX9hL2Ov+4qZX+Zq21Sn1MZFQwKM1PvbGDnkQryy1w0tTzy\nNChYeXM69141ps++jxBC9Hdd6VAG+t5HuNZ6nlJqmdZ6g1JqZmcP1Fq/rZSae8bmMprv8NLy3+0B\n1tOvGAwwKDKExIgQahuaKKltwN3YvLRIcwdSUeb04Gr0ndaBnJ4cjdvThMenqa7zYK/3UlXXRJGj\nkSJHIx8crCQ+zExcmIXYcCvfyRrJ3zcXcKjYweIXt/DDeaO4bupQGV8phBB9o8tZCBdHHvYUo0GR\nGBly1v0psaHcdWkyOQUOCmsaqHJ7cHl8uD0+6r3N/y12eUEZGTEmiWGjNRFGA8bGRt7ZXMDKv+5h\nUJSNG2ak9OG3EkKIgSXQDmXrVKOttwG7O8p9OfCmUmoMMAt4sKNG7ppKXnz4pnbbMzKmkTFtWjdL\n6HmK5vl2T5tzt3kYJIk0z3BX7/Xh181tTUYDoRYDRpNCR4Lb6qMmxEuZ04O93oOz0Yff3Xx8PRAB\n3DrER4XdjbvOy+HPdlCZY2HuhEGMSorouy8qhBAXoJzt28nJ6bC/1tn3H3s6C6GTeVhRUUFGRvsb\nx/fcc0/bciIXm7gwC1eOjaPM6aHO48NsVCgUpbWNlDsbKXd5KHY24mxsotLtwe3TYLYwb2oyn24/\nyb/8YRvltQ38YE4aIWaZUV0IcXFYs2YNa9as6WhXwGMBAn3l9Zc0j+0IBcqBHVrrXwVw/Fzg16e8\n4rMD+Bet9Wal1CTgYyDpzLEoF9srPqfy+zWVbg+7imrJr6rH1ejDZIDQEBPbTzg4Vuzg6PFK6uqb\nn3jeOCOFVd/7BlGhliBXLoQQF5bOvubT3SxsOcdcJA97nauxiUJ7A0U19fj84NeaY1V1bC+qxevz\nc/JkNbnHm5fuCrea+HZGMnfNHUn68JggVy6EEMHR66+8aq1XKqWuBtKB3VrrjwI5vgMpQEnL70uA\ns7/XcpEyGBSJESFcPS4BT5Ofg6UuShzNExDEjzHzVaiF+NgwThTXcDyvine2nWDb0Uqe/9F0Zo9N\nDHL1Qggx8PRCFoLkYa8IDzExYXA4oxNDKa5pfkqZHG1lYlI4f9tThkqJxWI1k1dgx+X28JdN+fxl\nUz7fSI3hB3NG8p1Lh2E2yeR3QghxLgHP8gqglIoB0FpXB3DMHOBO4BrgBeA3Lb+/BdgDTAD+W2v9\nzpnHyh3Z01U4Gylzemj0+nF7miisbmBncS155S72HSql1tmIUvCTq8ew7PpL5BUeIYTohEDvynYl\nC1uOkzzsB+o9Pt7bV8b2k7UU1zbirvNQWlpLUakDT8vEeoNibNy3YCyL56ZhMkrHUggx8PXaLK9K\nqWeAKK31EqXUAuC/aR7Ot0xr/YcuVRsACdCz01pT4fRwoMTJ1hMOdhc7ySu0k1dgB2DU4AhuvnQY\nqYMimJAcxchB4afNkCeEEKLZ+UI02FkIkoe9wdXYxKZj1fzjUAX2Oi8+n5/Scif5hdVr7k/hAAAg\nAElEQVTUNzQPJwkxG0kfHs2VE5OYe8kg0ofFYDBIlgohBp7e7FD+Cfih1tqvlMoGngfeBV7RWt/V\nlWIDIQF6fj6/pqimgS351Xx+vJqCMif7D5W1hWGrYfFhPHjtWL57eSpGCUMhhGjTiQ5lULMQJA97\nk9aa4/Z6TlbXU+XyUlRTT/a+ErYfrmibp6CVzWJkQnIU10wZwm2zR5Agy3cJIQaI3hxDebwlQOOA\nccA6rbVWSuUFXKXoFUaDYlisjWGxNq4Zn8C+Eif/TI3l8/2luOs8mPwau6Oewko3/752B3/49BgP\nfWs8WeMTiQo1y1NLIYQ4P8nCAUwpxci4UEbGhQLQ5Nd8e1ISxypcvLunjINFNdir66iy11Hf2MT2\n43a2H7fzm/UH+cGcNH6yYAxJ0bYgfwshhOh7ne1Qts7ucifwv6fMOhfZ8yWJ7oq0mbksLZZZqTH8\nMzWG13cU49cwJcSIy1HP1n0lHCxycM9LW4DmO61Z4xP5XmYqV6UPls6lEEJ0TLLwImIyKIbH2Rge\nZ2Pe2Hj2ljj5+/5yDpW7afT4qHbUU1xaS2WVm5c+PsKaj48waXgMP5qXxvXTh2GzyPwFQoiLQ2df\neb0XeLLl4xyt9UGl1CtArNa6/QKRPWz06NF63rx5ACxcuJCFCxf29iUHlNwyF89vLMDR0ASAz+/n\nZLEDe5WbWlcj3iZ/W9tLR8Xx+KJ0MkbGBatcIYToM+vXr2f9+vUAvPzyy0e11qPP1jbYWQiSh/1B\nncfHrqJathXUcKSyjhMVLvILq6moctP6b6oQs4HJw2MYHGNjYko0k4fHkD48hugwWdJLCNH/BJKF\nHen0LK9KqQigUWvtafk8HHBorWsCKzlwMmak+xqafOSWu8mvqqfI0cCeYicujw8AM5rqKje7j5RT\n39i8LXPCIL572XBGJkUwYWiUTJsuhBjwOjNuJJhZCJKH/Y3X52fniVq2FdZwvNLNvvxq8k9WU+ts\n7LD94BgbE4ZGcd20oVyfkUKYNaDV24QQotf12qQ8wSYB2vO8Pj//PFTJ/2/vzuMkK+t7j3+ec2rt\nqt6X2RdmB4Yl7IRFEA0ir9GgxhuTcE0wIcaE63I1Cbhco8aoiYkx10RHbzQ3i9GIUdHrArIJQQUR\nZICBWXv23ru69lN16rl/nJqmZ4Ppmu6q6unv+/WaF1On6pzzqzrU/Or3nGf59jODpKtFZLnss3vv\nGHv2jVOpvPD/RWs8xJuuXMXvvHw1K7paNLOdiJyWakmi9aZ82Ly8coVDqQL3bhvle88OMJHxKBTL\nTKQLpNNF0tniEbm1LR7m916xhre8fA1dSS07KiLNQQWlTFu5YnluIMPu0TyDaY+JQplDqTwPPnWQ\ndNYjky1Ozm4XDrusXdHJ6y9Zzi1XrND4EBE5raiglJmSLpb5xf4Jdo7myRZ9xnIldo/mGBwvMD4R\njL1MTRQAcF3DhpVd/Mr5S7jurD7OXtRKXOtHi0iDqKCUU5YplNk7VuBAqsB/9Y+xP1XkwFCG7btG\nGE3lJ18Xch1WLWzl0jXdLOiIU/R82uMhLl7Tw0Wru7UkiYjMOSooZTZZazmU9nh0zziP7B7n6T1j\n7Ng9yshYbvI1kbBLMhlhcXeClb0JVvcmWNQWoz0e5vJ1PZpFVkRm3awXlMaYt1prPzvtyE6REmjj\nlP0K6YJPKl/i3qcP8Y1H97Glf4zcUetbTrW4M85vXHkGLz9nIeet6FRxKSJzwskm0UblQlA+PJ2U\nyhUOThR44Nkhvvpfu9nSP0a+WH7RfZb3JXntxcv4zV9ezsq+Vjy/QsgYDUURkRlTj4LyXuDvgHHg\nIWvtiauKGaQE2lwKns9XHz/Afzy6j6GxHGW/Qsh1KPsVhkezFAovJMS2eJhL1/Zw9Zl9/Ooly7T4\ns4g0rWkUlA3JhaB8eLqqVCzDGY9th9I8sXuMn+8Z48BYntFMkbzn45UqpNKFI8ZgJloidHW2EIuG\niIcdlnXGePU5i3j1+YuIRzTZj4jUph4F5SHg94Fu4HLg09bap6YVZQ00TXpzKvsVnjqYYV+qQLpQ\n5sBEgS0H0gyMZBkczjA6lic/5U6mYwzXX7CY99+0kTP6klrvUkQarpap0huVC0H5cL5K5Us8vjfF\nPz24iyd2jjA0msX3j//7LRxyWL6wjZ7OOO0tEc7oaeG8xW20xkIMpgoUSz5dySjLexMs70nQnYwo\nH4vMc3VbNgTAGHOXtXbTlMe/a639wnROWAu1yM4dOa/Mt7YM8uP+cYazJfKFEmPjeQaHMwyPZCdf\nt6wvyRkLWmmPh2mPhzhnWTsv37iQZd0JgMm1vJTkRKRepnGHsiG5EJQPJciPE4USj+0Y5bEdI0zk\nPAYzHjuHc/QPpMlkvWkdLxZ2WdrdwtKeFha2x1nYGWfDojZa42GMsYQchwUdcRZ2xGiNh3GMUY4W\nOY3Vcodyun0iPmuM+SzwaaB/mvvKPNASCfHrFyzm1y9YzHDGY8dwlv3jBcZzZbYNpLn75/vYfyjN\n3sEMewczx+yfbAmzsDtBSyJKX3eCi87o4vXnLmBZpyYiEJGmoVwoDWOMoT0e4bqNC7lu48Ijnst5\nZX749CAPPjvI7sEME/kSo1mPdL6EBeKxMKGQQ9ErUyiUyedLFEo+2w+l2X4o/ZLnDrkOiXiYtkSE\n9kSEZT0JzlnazpreBB0tYaJhl0jIoTUeZll3CyHXwYDGeIqc5qY9y6sxZhnwZqAD+IK1dutsBDaV\nWmTnPmst1kLFWn743DDff+ogOwcyFEsViiWfofE8Y6k85XLliP1ak1G6OuOsX9DKmQuSWGsp+xXK\nvqW7NcLy7gQr+xKcubSDmKZZF5FTMJ1W2UbkQlA+lNp45QoHJgqk8mWGsx6pfJl0ocxQ1mPncJaD\nY3myOY+y55MvlJjIelSsxRiDrdigAC2WjxjD+VIM0JaI0NUao7M1SltLGNdxiIQNrdEQXS0RQq7B\nMYZY2CUZC8aCOgaW9SQ5Z3k7HS1Bd9xKxeJXLCW/QrliaY2FdHdUZJbU4w4lwArAAR6vVwKVuc8Y\ngzHgYLj+rD6uP6tv8jm/YhnPlXhuMMNPto+y7UCK/kNptvSPks4USWeK9O8d5wcvenxY1J3gl1Z1\nc+mabtqjLgXPZ3FXC5es6aa9JTL7b1JE5hPlQpkzIiGHlV0tJ3z+6C6sqUKJ+7ePsncsj+s4nNmX\nYHFrhPF8iV1DOXYPpdk7kmfbwQkGJwp4pQoVa6lUgj/lcoV8oUQq65HKeuw6NLPvJ1y9C9raEqG9\nJUws4uJjGM14pPMeLdEQ65e0c+nablb2JIiGXBwTFLmuMTjG4hpDazxMVzJCMhqiVAk+h2jYJRFx\nTzhDfbHkE3KdyeettXi+xTXBHdyZYK2l5FsioZk5nshsO6k7lMaYu621rzTGvBq4A/gRsBbYY619\n1yzHqBbZeSpTKHHv0wP88OkBnto/QcbzcZxgenTHGLyST6FQJpvzyOZefMzIoq4Wlna3sKovyYbF\nbZy9rIN1i9twHEM87JKIujhq7RSZ116qVbbRuRCUD6U5eWWfjFch55WZyJcZyZUYyXrsGMiwbyTL\naLpIrlDGWkux7DNR8Ml5/mQhe7gXk7WWirVksx75QumIiYcMBK3HBK+daS3xMK2JCCHXwfcrk8Wx\nX7HVQtuSy5coVH+LtLVESMbDlPwKRc+nWPKpVCyJWIjWeJi2eJiORITOZITOlggdLRGiEQevYpko\n+uwcyFDwyrTHw6xd2Eo84rJlzzi/2D3GgdEs1kJ3e4w1S9pZ1tdKJGRwrcFWfHzfEgo5OMZgHBN0\nRY6G6ExG6E1GWNwep7ctiuNAuuDjVyrYisUrB/s61feYynnsHcmzeyhDBUNXW5QzFrWTjLm4xiEZ\ncelKhImHXIYm8mw9mGZwPI9XDhoQupJRVvYmWdAZxzgQDwe/pRwDtlIhXyxjK5aKBeMYWqLhF7pG\nu4ZIyME1QUPGSMZjNFOkMxGhpzWqO9ANNJt3KA/3JbwYuNpaW6me8BPTOZnIdCRjYV5z4VJec+FS\nAA6kCmwfzjGeL+EYQ3dLmN5kBGth68E09z49wFP9owylCuAYXNchm/OYSBc4OJrj4GiOR7cNTx4/\nEnboao8H3WjKFVzXobstSl9bjEXtMVb3JrhoVRfxaIjhtEe2WKavPcaFKzuJR9S9VmQeUi4UOY5I\nyKUr5NLVEg46gZ+EVKHE9qEc+1MFxvNlHAPr+hKs703QHg+T88ocShXwLTiOQ7FcYTzvMZYrM5bz\nGBrPcyhVZCRTpOj5hA0s7Yyzui/BjsEsj2wbZv9wllyhhOOYak+poLfU4WKl7FcolSuUSj65fIlc\n/qVXADIEy7yMZ4qMZ4rHPF8s+Yymj93+Yr5/gu0jqQIjqQI/eWZgWsc7VY5jcB2DUx0D61WL5RMJ\nhRyi0RDRsItfseRyHqWjhjBNHtsYIhGXSNjFmGA91qJXPqLxIBYNsWJhK6+7dAV/dN0qXEd3apvd\ndLu85g4n0KrUTAYj8mIWt8dY3H78dSzX9iV41cY+iuVgfGXe89kxmmMw7XEoVeC5AxPsH8sxlCow\nkfVIpfLk8iUODWePOM7IWI7nXyKOcMihr7OF5T0JVvUm6G2LMjxRZP9YjkyhTF9bjEvW9HDlmb30\ntMYYz3k8tHWQwQmPrtYIF57RRW8yQqZYnmyt62wJH3Mev2JxHUPZrzCYKpDKl1jVlySqsaIijaZc\nKHKK2mNhLlzWzoXL2o/7fEskxKre5Cmfp2KD3wRZz6fkWxwD0WpXUkv179ay9cAEz+6fwKtUAIdS\npULEdarzM1iK5QrxWBiMQ75UZihVIJUr4boOvW1RelojwW+PoRwjmSKpnMdErkQmX6JUrkze9XQB\n18DCzjjJWJiRrMdgqoC1lq62GOsXt3P28naiIYddBzM8s2eUQ2N5KtbihhzCIRfjBGNbKxWLXy2K\niyWfQilYs7RU9in7lkqlgus4hNygkd04ZvLurusaImGXeDREa0sEYy3D43kGR3OTd2eZUhRGwy7J\nRIR4LExQ3xkKxTKpdIGi51Mue0z9RRWuFpkA1oLvVyYL00IxGJM7Vch1iERcPM+nUCzzXP8Yf9E/\nxg9+cZD/+KPLaYlqbdVmdrJdXh8BvgucC3zMWvuYMeYW4NXW2jfMcoxad0tmTKVi2TacZcdwjr0j\nOQr5EgvbIixoi3FgPM/ju8fZN5ZjOOMxmi4ykfXw/eDupesYisf5R/DFhEPOCVvpIOi9k2iJ0N0e\nZ0VvgrBjODCSZd9QlnS+RNh1KPsVDn9LXcewqDtBR2uUSNilLRYi7BrG0sUgsTmGtYvbuHxDH+cu\n66DolTk4ViAeC9GVjNAaD9EaCdEaC9ESdnEdsJhg7Et10qRKBSzB2I1otUuNyOlqOmtvNToXgvKh\nyFxjraVQruA6hnD1Tmk9zmlhcomXYrkS3BkMOXh+hZznB8VyyODb6rjS6phQ369QLAevyXvBREzd\nrVGSsWMbvg+fazhdZGC8wMHxPEW/QncyxpKueDC+NeSQ9nzShTLRkBO8fqLIWNbDNYaORJj2eIQy\nlozn4xpD/2CGf/7RLu578gAA56/t5bvvuVrdYGdRXdehPGJHY9YDE9bagzUdYBo0ZkQawStX2D2a\nJ+v5REMO7fEQyYjLM/tT3PP0EE/tH2dookjB84mEXVriYUKuQypTZGA4w0S6gLVB0djZHicZD5PJ\nlchMGe/plfyTiiUScXEdh3zhpbvjnEg47NISC2MJisdgXIMNmg5tMGlDSzRENOISdh3aE1HakxHa\nkhHaklE6ElEy2SLb9geTJmULJRKxMIs742xY0sbZSztY0tVCeyKCNZAu+qRyHvuGs4xlilgbtMgu\n6U7QlYwQj7gsaYvRlQg3vGitVCy5YplsyScRdicTqyUosg/f9c55Pos6YoQcw3C6yNBEAccYlvck\n6Eho4qe5rpZxI/XMhaB8KCLzxz8+sJP3/uvjWAtvuX49f/6Gcxod0rxQr1leAbDWPlfrviJzQSTk\nsK4vccz2y9f0cPmanpfcP++VmciV6ExEiEzpplqpWMbypaALTqHMtkNpHt05wpa9KSpAJBbCjUUw\nrkPEMSxqi9HZEsYAuWKZsVSBXMGjWKqQLZbxK5ZEPEx7MkLB89l1cIJdB1Lki2UikRCxiEsuX6JU\n8km9SAGbL0JqmgtiD6cK9A+keWTr4BHbHWNwXHPMMjCHua5DSzxMS0uYZDzoapPLeZRKPt1tMc5Y\n1EZ3VwuO69ASclncGuH6s/tY0XPs9Zguay07h3J85cf9PPLcEDsPTTCWLjKN2fCPKx4N0Z6M0pYM\nrvfhmQ6ttbiuQ7nkky+WyRZKFD2fRDzMgs44F67q4T03bqC3LXrK703qT7lQRGR23PKyVTy5Z5yv\nPLiTL92zjV9e28ON5y1qdFhyHDXfoawntcjKfGOtJV30SR41+6ytdk09vBaXawyxsHNMN5DDM+Y5\nU6Y13zea48BonnDIIeI6hEPBYPuCX2F/qsjzgxkGUkVyxRI5zyeT88jkSoynCwyO5ckUSnQko6xc\n2Mq5Z3TR1RpjIFVg92Awi9/YRBHPK1P0fHw/KCQjYZfOtiitLcHkSRPZIqmMd9J3Zo+2sDvB+99w\nDq+/aOm0900XSnziO1v5f48f4OBQJrg7O4XjGIJ5/KZ+kC88dpxgYoigSLaEwy7RSAhrg5n/prM+\n29Fi0RCfuuVifvWCJTUfQ05dLa2y9aZ8KCLzSdmvcN1H7+O5PWO0JaPc+/5XsLQr3uiwTms19dap\nV0FpjFkNfAR4HFgKjFhrP2SM6QI+BuwkmH79DmvtEdNZKYGKNL+yX8G3EHENOc8nVyzT0xrcdSuW\nKxRKFawF14Gx6nTy2w+l2XEoTTji0p6I4hvoH8rw/J5xDo3lyBXLwSRExpDKeFhrMQYu37iYz/72\nBfS1HX+SpqN98rvP8elvP0vRe2H8a19XCxuWd7JuSTtnLW3nouXt9CYiVKxlOFtiOFtiNOdhqa6j\nevh9VqdeD7sOLWEXrzrepFAoMZ4uMpgqkPPKhByHSNjBcQx5z8dxHVzXxamOS82XygyM5HjkmUOk\n0kVi0RB3vvtlXLiyc4avjJysehSUp5ILQflQROafPSNZrvvwD0lnPdYs7+De21+uNTpnUbMXlBcD\ni62136w+fga4Gfg94F5r7VeNMZuAN1prb566rxKoiPQPZ/nDL/2Mx54Lutd2dcT5nzdt5M2XLjvh\nYtKZQpk3b/4JDz8VDG9rS0Z51QVLePcN61k+A91nZ8JE3uPKD97D4GiOZQtaefQj1zc6pHmrTgVl\nzbkQlA9FZH761uMHeOvnHqFSsbzs/MV8+Q8uw9FyIrOillxYtythrX30cAKdcu4scCPwSHXbw9XH\nIiJHWNGT4NvvvppPvPlCYtEQo+N53v9Pj3HNX9zPn33rWXZOWQJmYCLPe+/cwmUf+MFkMXnDJct5\n+q9ezadvvqBpikmAtniEr77jSlzXYe9Ams/fv7PRIcksUi4UEZm+Tb+0iD941QYAHnjiAK/96x9N\ne94HmT0NGUNpjLkJuMZa+3ZjTBFYYK0dN8aEgBIQttZO9k1Ti6yITLVvNMfvfu4nPLFzZHKb6xo6\n2mK4jsNoKj85IVA45PDh3zif375qVaPCPSm/9dkfc8/P9tHZFuMXH7+BcEjrjdZbvcdQTjcXgvKh\niMxf1lru+NoWvnT381hriUVc3njFSv7H9etZ2t3S6PBOG03d5XXyhMZcC9wEvMNaWzHG7AV+2Vq7\ntzqGZLu1tmvqPitWrLC9vb3HHOvWW2/l1ltvrUvcItJ8Hto6yOZ7d/DYjhFGJwpHPNfVHuOV5y3m\n9hs3sLCr+RPN0ESBi+/4HoVimVtftYEPvX5jo0M6bW3evJnNmzcfs/1nP/tZv7V2ZT1iqCUXgvKh\niMxv1lo+/+Au/vquZxlP5YFgebaL1vTwtleu4+UbFwRzL8hLmslcWNeC0hhzI3AVcDuwCFgBvBmN\noRSRU7RnKMN9WwfJexUuX9vDucva59wiyO/6tyf5t/u2EYuG+PnHbqAzOXeXEilXKoTm2PiWet2h\nrDUXgvKhiAjAzuEsn/zBdh56+iCDQxkOlzPhkMOGZR1cuq6Xs5e1s6onwZoFSZLREJHQsbPiwwsz\n4xvDnPvdUKtiyWeiWGbPcI4t+8YZz5ZYt6iV6zcuwHXd+q1DOV3GmAuBrwCPAfcBCeAzwB3Ax40x\n64DVwLuP3nc4P8zfP/H39QpVROaq1uA/D48Gf+aaFesqdO3dTr5Y5oZ/fJibr1rZ1MnNWsvgRBEL\nLGwPZtz1yhW++pO9jKaLXLy2m8tXdwNQsZad1aS/qieJ6zbufVlr8Sv2hJM5zaZTyYUiIhJY1ZPg\nM79xHoPpDXzt8QN8/cd72H1ogkymyFO7Rnlq1/F/BLTEQnS1xYiEXfKeT65Qwiv5lH1LJOQQjbjE\nIiHi0RDJWIh1S9q5akMf5y1rp681SjLqEm5A7qhV2bcMZQpsOZDmif5xnugfZ9dgmvGJAulssP73\nVPFYbaVh3QpKa+3PgOQJnv69F9s3ForxsmUvm/mgRESazeUb+eQ3t7BvtMJ/JXq547VnQxPUlOWy\nJRR6IZCB8QJ//OUnODTs4ziGd75mPdes7+UPvvgY+waD9TTvG4C4t4TbrlvF2770OLsOBIlryYIW\n/uF3LiIadsgWynzq7u10JMLccuVK4pGZ66qUK5T5zD3b2bo/Rcm3REKGbKHMRNajXK6QiLt0tgbr\npCZqTKLTdSq5UEREjtTXGuVtLzuDt73sDPaO5bn7mQHu3TLAtn0pJnIeBa+MV6pQqdhg3ehCmVwh\nc9xjlUo+2XzpiG1Pbh/mPx7YQSwWIhJyiUdcVvYlueasPm44dxFrF7biNqjAtNaSK/oMThQYTheZ\nyHkcGi/wi30pnt6f4sBIjvGsRz5f4kT9UUMhh47WKLFIiKGxHPlC+QSvfHENmZRnujact8Heee+d\njQ5DRKQu/up7z3P3o3sB+KXV3XzkjecdUczV278+tJt/eWAnZyxo5QOv28jCrji3/d/Heb5/bPI1\n4bDL0t4kuw6kcF2HVYta2bYvhXEMi7oTHBjKYJzgPdiK5YL1ffzWFSv56De2MDyaA6C3O8FH3ngu\nC9ujfPRbz7LzYJpENMRtN6xj49J2ALbsS3HfM0Nctb6H81d0AMH40y89tJtsoczqviRvuHgZ9z87\nyN9//zk8z+dk7f/bt9d1Up5aqMuriMjJs9aS9Xz2jxcYL5TYPZhlz3AWz/PpbYuwojvB0q444ZDD\nULrIQKrI0ESBobTHvpEcT+4eZc9AGr9y/Hop5Dp0tUXpbY/T1xlnUWcL5yxv58o1PazojhM5zgR7\n5YolUywHa3MbcB2DtZaRdJFD4wXGch4YQ8WCb2B4wuP5gxNsOzDB3uEMqaxH0fMpej6Vk6zjohGX\n1niYZb0JfmllF1eu6+Hc5Z0s6YpP9oSayJW464kD/NYVK5t/Up5aqKAUkfmk7Fv++gfbuPfxfdiK\nZVlvko//5nl0t8Zm9by2Av3DGQZTBc5d0Uks4vKZ7z/Pt366d/I14ZDLpRt6eWjLIQBuf8M5fO6e\n7YyO5ydf89Yb1nPThUu57Z9+xvN7x4ONBn7nFetwDXzhB88DQctouVwhFHKoWEvFt/R2J4iGXfYd\nmpg8XiTi8t+vWc1Dzw2zdc8YhwfLLOpJ0NcR4+nd45TLxy8ck8koV5zZR1ciQqZYJhkPs7izhUTU\nZTBVYP9IjlTWI5Mvcddtv6mCUkREjlAo+ewdzrJ7JMfP96Z4+Lkhdh6cYGyiMDmj/NEMEI2GiEXc\nIMdVoOxX8CuWSiW4Yzr1T63VmOsYwmGXcDg4Tzjk0tYSFI6XnNHFZau6OG9FBy2Rk++FMydmea2F\nCkoRmW983/KPD/fzjYd3Uy77hMMuZ63o4Ip1vVx31gKS8ZntorlvOMvtX36SwWphmGwJc97yTh7e\nOgjAhlXdDIxkGUu9MJvuxev7+Mgbz2E84/Hpu7fxi91jXLGhj3fesA6AfKHM++/cgusYbrp4CZet\n6QHgs/ds5xs/3oO1ls7WKB/7jfPJFMr88b/8HN+vJmcDmy5ZzkNbB484J0BnW5SxdJGpGbizLcqS\n7iS7BtJkcx6hsMtZK7p432vPor3l5D6rjT0bVVCKiMhLstYyni/xzIE0j+4cZddghgOjOQ6O5hgY\ny5POTX+NzEjYJRIJxmhWKsFYf9+v4LqGnvY4y3qTnLm0jTN6kyTjYVpjYRa1x+hLRkjGQrREXAzg\nOKfWo+m0LSiXrV5mr3rNVQBcffXVXHX1VQ2OSESkPu7fOszff28rqXRxcpvjGLrb4yTjYTKFEtl8\nCWstyXiEjkSYXLFMruhjHOhrj7Ows4WwQ3V7mVSuTKZQwhhoi4fxfcuuQ2mstYRCLqGQoTBlHMXZ\na3r42K+dw0ShxJ/825MMjOZ45fmLue1X1lHrRK7P7kvx4x2jvOmXlxOrTvH+X88N8YV7d9CRiPDG\ny5Zz2boexjIeH//OVp7pHyUWDvH2Gzdwxboedg5m+OIDu8kUylx1Zg+vPX8xbsih4PkcnCjQFgvT\nnYi85PjTHz34Ix588EEAvvypL2+31q6t7R3Vx9q1a+21114LwKZNm9i0aVODIxIRkaPlvTLPHphg\n13CeUsknHnVojYZpjYdIRELEI8F4zESkehdzykR1jZiM76677uKuu+4C4POf//y0c+GcKCh1h1JE\n5rNsocy3njjAo9tH6R9Mk8lOv+XzZPT2JPj9V6wlGnb56k/2MpYp0tcZ5/ZXr6dtyqQ1h6dXP93o\nDqWIiMx3tdyhrNssryIiUptELMSbLlvOmy5bDsDzh9L8ZPsIQ+kiva1RFne2YIG9IzkGJgq0xkL0\ntMYolX12DKQZri7tEQ0H06G3J8L0tkbxK5ahdJF8qcJ5Kzp45Zl9tFW70l6ysirc+HYAAA3aSURB\nVANbqRaORxWPp2MxKSIiIrWZEwVloVzggb0PNDoMEZGmsXwFLD9q26o2WHXUtmVHv+goL/RpGeLn\nw9tmJDYRERGZP+ZEQdkT7+Ft57+t0WGIiMhp7A/5w0aHICIiMuc0ZiVOERERERERmfNUUIqIiIiI\niEhNVFCKiIiIiIhITebEGMpUKsWtt94KaN0tERGZOVPX3gLaGxnLyVA+FBGRmXaquXBOrEOpdbdE\nRGS21bL2Vr0pH4qIyGyqJReqy6uIiIiIiIjURAWliIiIiIiI1EQFpYiIiIiIiNREBaWIiIiIiIjU\nRAWliIiIiIiI1ETLhoiIyLylZUNERGS+07IhIiIiM0DLhoiIyHxXSy6cE3coy8PDDP7d/250GCIi\nIiIiIjLFnCgonViM1muvbXQYIiIiIiIiMkXdCkpjzGrgI8DjwFJgxFr7IWPM3wA5IAOcB7zDWnuo\nXnGJiIjUi3KhiIicbup5h7IL+Hdr7TcBjDHPGGO+A2Stte+rbvsT4L3AbXWMS0REpF6UC0VE5LRS\nt4LSWvvoUZscpiTQKdsy9YpJRESknpQLRUTkdNOQMZTGmJuA71trt07Z1gH8CvD6RsQkIiJST8qF\nIiJyOqh7QWmMuRa4FnjHlG3twGeAW6y1o0fvk0qluPnm3zrmWK973eu46abXzWK0IiJyuvnP//w6\nX//614/3VE+9YqglFwIMDQ1x0UXHzuZ+6623Tq5PKSIi8lI2b97M5s2bj/fUtHNhXdehNMbcCFwF\n3A4sAlYA24BPAX9ird1vjHm9tfbOqftdsGGDffhrdx5zPBERkZnScs7GuqxDWWsuBK1DKSIis6up\n16E0xlwIfAV4DLgPSBC0xH6mGse/GmMA0sARSbRSKJC+7756hSoiIjIrTiUXioiINKN6TsrzMyB5\nnKe+9FL7hnp66Lvtj2Y8JhERkUn/Y/YnVT2VXCgiItKMnEYHICIiIiIiInOTCkoRERERERGpiQpK\nERERERERqYkKShEREREREalJ3dehrEUqlZpcX2vTpk1s2rSpwRGJiMjp4K677uKuu+46/LC9kbGc\nDOVDERGZaaeaC+u6DmWttO6WiIjMtlrW3qo35UMREZlNteRCdXkVERERERGRmqigFBERERERkZqo\noBQREREREZGaqKAUERERERGRmqigFBERERERkZpo2RAREZm3tGyIiIjMd1o2REREZAZo2RAREZnv\ntGyIiIiIiIiI1I0KShEREREREamJCkoRERERERGpiQpKERERERERqYkKShEREREREamJCkoRERER\nERGpidahFBGReUvrUIqIyHw3L9ahXLFihe3v7290GHIcmzdvnvxxI81D16V56do0L2NMv7V2ZaPj\neDHKh81J3+vmpWvTnHRdmlctuXBOdHkdHh5udAhyAps3b250CHIcui7NS9emqfU2OoCXonzYnPS9\nbl66Ns1J16WpTTsXzomCUkRERERERJpP3QpKY8xqY8yXjTHvMcb8rTHmA0c9/15jTN2aXqf0E27K\n483GMWcjxpk2Xz/H+Xht5sLnOB+vy1w55ly4NsdzuufC2TjmXIhxNszHz3E+XpfZOOZciHE2zMfP\nsVmuSz3vUHYB/26t/Utr7duBXzfGXAhgjLmm+nzdzIULOhdinGnz9XOcj9dmLnyO8/G6zJVjzoVr\ncwKndS6cjWPOhRhnw3z8HOfjdZmNY86FGGfDfPwcm+W61K2gtNY+aq395lHnzhpjFgD/Dfi7esUi\nIiLSCMqFIiJyumnILK/GmJuAa4B3Ap8H3k0wRe1j1tqe47y+APjHOdQQUGvXoHYgVeO+9TjebBxz\nNmLsofZrcDzz9XOc6WPO9HWB+fk56jvTvMc8leP1cPxJB1xrbaz2kKZnurmwus9M58PT/VrX65j6\nN7c5jwfz89/cuRCjvjONP96M5cK6r0NpjLkWuBZ4B3ABUAJ+H+gE4saYPwXutNZuO7xPPRO8iIjI\nbKslF4LyoYiINJ+63qE0xtwIXAXcDiwCVlhrH6k+t5IXaZUVERE5HSgXiojI6aSes7xeCHwFuAy4\nD/gmsL763BrgjwhaZd9njEnUKy4REZF6US4UEZHTTUPGUE6HMeYVwOuAQcBaa/+swSFJlTHmx0Ch\n+tC31l7XyHjmK2PMQuAjwHnW2our27qAjwE7gbXAHdbagcZFOT+d4Np8kGDc3GF/bq29u/7RzV/G\nmNUE1+VxYCkwYq39UDN/b5QLm5dyYXNQLmxeyoXNaSZzYd3HUE6HMaYF+CxwtrW2aIy50xhznbX2\nh42OTQD4nrX2g40OQriS4C7H+VO2fRS4x1r7VWPMJuCvgJsbEdw8d7xrg7X2moZEI4cdXrrjmwDG\nmGeMMd8Bfo8m/N4oFzY95cLmoFzYvJQLm9OM5cJ6rkNZi8uBfmttsfr4YeDGBsYjRzrHGPMnxpgP\nVscESQNYa78GpI/afCPwSPXv+t40yAmuzeHF699d/f60NCC0ee1ES3fQvN8b5cLmplzYBJQLm5dy\nYXOayVzY1HcogT6O/B9worpNmsPHrbU/Nca4wIPGmLS19sFGByXAkd+dCaDTGBOy1pYbGJME/gPY\nba3NGmPeRrDu4FsaHNO8VV264/vW2q3GmGb93igXNjflwubVrN9pUS5sKqeaC5v9DuUg0DrlcVt1\nmzQBa+1Pq//1gR8RTIEvzWHqd6cNGFMCbQ7W2qettdnqw3uBlzcynvlsytId76xuatbvjXJhE1Mu\nbGrN+p2e95QLm8dM5MJmLygfAVYYY6LVx1cA32lgPFJljNlgjJnakrQW2NGoeOQY3yHoJgf63jQV\nY8xfTnmo702DVLsmXg+8HVhojLmc5v3eKBc2KeXCptes3+l5T7mwOcxULpwLs7y+EngDMASUNLNd\nczDGLAb+N/BzgtaLMPAua22loYHNQ8aYlwH/HXgV8A/AJ4E48HGgH1gN/Klmtqu/E1ybDwAtBC2A\n5wAfsNY+37Ag56Hq0h0PAI9VNyWAzwDfokm/N8qFzUm5sHkoFzYv5cLmNJO5sOkLShEREREREWlO\nzd7lVURERERERJqUCkoRERERERGpiQpKERERERERqYkKShEREREREamJCkqReaS68HZTaKZYRERk\n/mim/NNMsYjUKtToAETmAmPMJcAngAjwA4KpyAH+wlo7Xn3NY8Cl1cWtj3eMXwWesNbunv2Ij3v+\n1wIdwD814vzH8QfGmKettfc1OhAREXlpyoWzQrlQ5jwVlCInwVr7U2PM/UDSWvtBAGPMDcC9xphL\nrLVl4GL74uvw/CowDuye5XCPYYxZC9xqrb2x3ud+EZ8B7jPGbLHWDjU6GBEReXHKhbNCuVDmPBWU\nIjWy1n7XGPO/gFcYYyLAp40x1wADBAtdbwWWAQ8Ce4Dzgd82xlxmrf2YMebzwH4gCRy01n7SGHM5\nwaK/jwMecB5wm7X2MWNMK8FiwDuBBcCotfbDxpirgFuAZ4D1BAvQDh8V7puBuw8/MMZ8mKCF2QNi\n1tr3VBPtF4GDwCFgE0HiXwFcT5D8LwfeBSwGbga2AZcAbwXSwKcIFiluJ2iB/udqd55PAsNADOiy\n1r7NWmuNMQ8DbwI+XdNFEBGRhlIuVC4UUUEpcmr6geXW2s3GmHdVt60nSJjvATLAudUk+ATwJWvt\n/dXXfdta+00AY8wTxpjN1tpHjDHfAKLW2tuNMb9GkAAfA+4AtltrP1Hd5xZjjAH+HbjEWrvfGPPb\nwHuBdx4V59nAv015/NiUc3/LGHO2tfZpY8wXgFdba28zxnwKGAW+Day21harPxIc4NcIfgD8DbCR\nIBm/BYhYaz9UjetZY8z3gZuq2z9SPd9bpsSxn+CHgoiIzF3KhcqFMo+poBQ5NSsIWlwnWWufMMb8\nA/A1guRyxwn2XWSM+SgwAbQB3QQtmwDPV/87BLRW/34u8H+mnOcfjTG9QBdwc5C36AKON24lCpSn\nPI4YYz5BkCSXAL1Tnnu2evwdxpiLCVp/i9Vt9wMYY/6cIFn/FHgE+ONqfIuMMX9aPc4WYGF1+/Yp\ncU++B6DEC2NwRERkblIuVC6UeUwFpUiNjDG/QtBt5Z6jtp8B/Nha+wVjzI3AB4HXECQ3Y4xZTdC1\n54+ttauq+7zmqMMfb/zJk8Dq6usNcCuwmSDRfs5aO2aM6SboinO0vQQJFmNMB/DPQJu11jPGnPsi\n594OdBljItXXXkPQBWittfYdU1qFb6jGV7TWfqx6npsIugY9yZSWV2PMW621n60+7OKoHyEiIjJ3\nKBcqF4qooBQ5CcaYi4CrCVoz3we0AGHg5dbacjVZriAYP/FF4H3GmJ8Dy4HPVQ9zN/C7BEnq9wm6\nwXyBYHzJEuAWY8y/VM9zTrWLzM3AudXz/wXwSWPMewlmqPtudezFrwMfN8bsrJ7v747zFv4TeD1B\nq24K+Crwf00wG99ZBK26zxKMFek0xlxnrf1hNTH/IcGYmH6CpHcH8EpjzN8QjBHJA/dXj/sJY8yf\nUW0Bttb+pzHm/1Tj/iDBvzlbpsR1GfChaVwKERFpEOVC5UKR4zEvPhGXiJwuql2Pvmit/WmjYwEw\nxrwSuNZae6JuUCIiIjNKuVBk5qmgFJlHjDHnWmt/0eg4oLliERGR+aOZ8k8zxSJSKxWUIiIiIiIi\nUhOn0QGIiIiIiIjI3KSCUkRERERERGqiglJERERERERqooJSREREREREaqKCUkRERERERGqiglJE\nRERERERq8v8BVZdizviLSvsAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the contrast curves along with saturation regions\n", + "xlim=[0,20]\n", + "ylim=[24,8]\n", + "\n", + "fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + "ax1, ax2 = axes\n", + "entropy_vals = [13,8]\n", + "\n", + "for j, ax in enumerate(axes):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + "plot_contrasts(curves1, wfe_list, ax=ax1)\n", + "plot_contrasts(curves2, wfe_list, ax=ax2)\n", + "plot_planet_patches(ax1, obs1, age=age, entropy=8, av_vals=[0,10])\n", + "plot_planet_patches(ax2, obs2, age=age, entropy=8, av_vals=[0,10])\n", + "\n", + "label = 'Saturation'\n", + "if rmax1>0:\n", + " rect1 = patches.Rectangle((0,ylim[0]), rmax1, ylim[1]-ylim[0], alpha=0.5,\n", + " color='grey', label=label, zorder=2)\n", + " ax1.add_patch(rect1)\n", + "if rmax2>0:\n", + " rect2 = patches.Rectangle((0,ylim[0]), rmax2, ylim[1]-ylim[0], alpha=0.5,\n", + " color='grey', label=label, zorder=2)\n", + " ax2.add_patch(rect2)\n", + "\n", + "for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}$\\sigma$ Sensitivities (mag)'.format(nsig))\n", + " ax.legend(ncol=1)\n", + " \n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + "fig.tight_layout()\n", + "\n", + "roll_str = r\"$10^{\\circ}$\"\n", + "fig.suptitle('{} (Roll Angle = {})'.format(name_sci,roll_str), fontsize=16);\n", + "fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Full observation simulations" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "for k in filt_keys:\n", + " obs = obs_dict[k]\n", + " obs.wfe_drift = 5" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Select F444W with two rolls at PA of 70 and 80 degrees\n", + "obs = obs2\n", + "\n", + "roll_angle = 10\n", + "PA1 = 270\n", + "PA2 = PA1 + roll_angle\n", + "\n", + "xpix = obs.det_info['xpix']\n", + "ypix = obs.det_info['ypix']" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Detector ID\n", + "det = obs.Detectors[0]\n", + "detid = det.detid" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Get mask center from SIAF aperture file\n", + "from jwxml import siaf\n", + "inst = siaf.SIAF('NIRCam')\n", + "apname = 'NRC'\n", + "ap = inst['NRCA5_MASK430R']\n", + "mask_cen = ap.center('Det')" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Add random planet\n", + "rtheta = (3, 45.0) # 3\" at PA=45\n", + "# Output images will be in coordinates with V3 up and V2 to the left\n", + "obs.add_planet(mass=1, age=age, entropy=8, rtheta=rtheta, runits='arcsec')" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Coronagraphic Transmission mask\n", + "# +V3 is up, and +V2 is to the left\n", + "# Pixel (0,0) is bottom right\n", + "cmask = nrc_utils.build_mask('A', pixscale=obs.pix_scale) + 999\n", + "cmask = nrc_utils.pad_or_cut_to_size(cmask, (ypix,xpix))\n", + "\n", + "# Place cmask in detector coords\n", + "cmask = nrc_utils.V2V3_to_det(cmask, detid)\n", + "\n", + "# Shift cmask to appropriate location\n", + "# ie., move MASK430R from center\n", + "xc, yc = (xpix/2, ypix/2)\n", + "xnew, ynew = (int(mask_cen[0]), int(mask_cen[1])) # In detector coords\n", + "delx = xnew - xc\n", + "dely = ynew - yc\n", + "\n", + "cmask = nrc_utils.fshift(cmask, delx, dely) + 1\n", + "cmask[cmask>10] = cmask[cmask>10] - 1000\n", + "\n", + "cmask[1500:,0:260]=0\n", + "cmask[1500:,1900:]=0\n", + "cmask[1820:,:] = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Make zodiacal background image\n", + "im_zodi = cmask * obs.bg_zodi()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Disk Images\n", + "im_disk1 = obs.gen_disk_image(PA_offset=PA1)\n", + "im_disk2 = obs.gen_disk_image(PA_offset=PA2)\n", + "\n", + "if isinstance(im_disk1, np.ndarray):\n", + " # Convert to Detector Coordinates (flip along x-axis)\n", + " im_disk1 = nrc_utils.V2V3_to_det(im_disk1, detid)\n", + " im_disk2 = nrc_utils.V2V3_to_det(im_disk2, detid)\n", + "\n", + " # Shift to MASK430R spot\n", + " im_disk1 = nrc_utils.fshift(im_disk1, delx, dely, pad=True)\n", + " im_disk2 = nrc_utils.fshift(im_disk2, delx, dely, pad=True)\n", + "\n", + " # Mask out opaque areas from disk\n", + " imask = cmask<1e-2\n", + " im_disk1[imask] = im_disk1[imask]*cmask[imask]\n", + " im_disk2[imask] = im_disk2[imask]*cmask[imask]" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Planet Images\n", + "im_pl1 = obs.gen_planets_image(PA_offset=PA1)\n", + "im_pl2 = obs.gen_planets_image(PA_offset=PA2)\n", + "\n", + "if isinstance(im_pl1, np.ndarray):\n", + " # Convert to Detector Coordinates (flip along x-axis)\n", + " im_pl1 = nrc_utils.V2V3_to_det(im_pl1, detid)\n", + " im_pl2 = nrc_utils.V2V3_to_det(im_pl2, detid)\n", + "\n", + " # Shift to MASK430R spot\n", + " im_pl1 = nrc_utils.fshift(im_pl1, delx, dely, pad=True)\n", + " im_pl2 = nrc_utils.fshift(im_pl2, delx, dely, pad=True)\n", + "\n", + " # Mask out opaque areas from disk\n", + " imask = cmask<1e-2\n", + " im_pl1[imask] = im_pl1[imask]*cmask[imask]\n", + " im_pl2[imask] = im_pl2[imask]*cmask[imask]" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Create stellar images\n", + "im_star = obs.gen_psf(sp_sci)\n", + "im_ref = obs.nrc_ref.gen_psf(sp_ref)\n", + "\n", + "im_star = nrc_utils.pad_or_cut_to_size(im_star, (ypix,xpix))\n", + "im_ref = nrc_utils.pad_or_cut_to_size(im_ref, (ypix,xpix))\n", + "\n", + "# Convert to Detector Coordinates (flip along x-axis)\n", + "im_star = nrc_utils.V2V3_to_det(im_star, detid)\n", + "im_ref = nrc_utils.V2V3_to_det(im_ref, detid)\n", + "\n", + "# Shift to MASK430R spot\n", + "im_star = nrc_utils.fshift(im_star, delx, dely, pad=True)\n", + "im_ref = nrc_utils.fshift(im_ref, delx, dely, pad=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "sci_slope1 = im_star + im_disk1 + im_pl1 + im_zodi\n", + "sci_slope2 = im_star + im_disk2 + im_pl2 + im_zodi\n", + "\n", + "ref_slope = im_ref + im_zodi" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Superbias for data reduction\n", + "caldir = pynrc.conf.PYNRC_PATH + 'sca_images/'\n", + "fbias = caldir + 'SUPER_BIAS_485.FITS'\n", + "hdl = fits.open(fbias)\n", + "bias = hdl[0].data" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def average_slopes(ramps, bias):\n", + " \"\"\"\n", + " For a series of ramps, calculate the slope images then average together.\n", + " Would it be better to average integrations into one ramp, then find slope???\n", + " \"\"\"\n", + "\n", + " slopes_fin = []\n", + " for i in range(len(ramps)):\n", + " #print(i)\n", + " hdulist = ramps[i]\n", + " data = hdulist[1].data\n", + " header = hdulist[0].header\n", + " ref_obj = pynrc.ref_pixels.NRC_refs(data, header, DMS=True)\n", + " ref_obj.calc_avg_amps()\n", + " ref_obj.correct_amp_refs()\n", + "\n", + " # Subtract superbias\n", + " data_corr = ref_obj.data\n", + " for im in data_corr:\n", + " im -= bias\n", + "\n", + " # Create time array\n", + " ng = data_corr.shape[0]\n", + " tvals = (np.arange(ng)+1) * obs.multiaccum_times['t_group']\n", + "\n", + " # Flatten image space to 1D\n", + " data_corr = data_corr.reshape([ng,-1])\n", + "\n", + " # Make saturation mask\n", + " sat_val = 0.8*data_corr.max()\n", + " sat_mask = data_corr > sat_val\n", + "\n", + " # Create slope images\n", + " # Cycle through frames using only unsaturated pixels \n", + " im_slope = np.zeros_like(data_corr[0]) - 10\n", + " for i in np.arange(1,ng)[::-1]:\n", + " ind = (im_slope==-10) & (~sat_mask[i])\n", + " if np.any(ind): # Check if any pixels are still True\n", + " im_slope[ind] = pynrc.fast_poly.jl_poly_fit(tvals, data_corr[:,ind])[1]\n", + " #print(im_slope[ind].shape)\n", + "\n", + " # Special case of only first frame unsaturated\n", + " ind = (im_slope==-10) & (~sat_mask[0])\n", + " im_slope[ind] = data_corr[:,ind] / tvals[0]\n", + " #print(im_slope[ind].shape)\n", + "\n", + " # If saturated on first frame, set to NaN\n", + " ind = sat_mask[0]\n", + " im_slope[ind] = np.nan\n", + " #print(im_slope[ind].shape)\n", + "\n", + " data_corr = data_corr.reshape([ng,ypix,xpix])\n", + " im_slope = im_slope.reshape([ypix,xpix])\n", + " slopes_fin.append(im_slope)\n", + "\n", + " slopes_fin = np.array(slopes_fin)\n", + " slope_final = np.nanmedian(slopes_fin, axis=0)\n", + " \n", + " # Fix NaNs\n", + " slope_final = nrc_utils.fix_nans_with_med(slope_final)\n", + "\n", + " return slope_final" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "ramps = obs.gen_exposures(im_slope=sci_slope1, targ_name=name_sci)\n", + "slope_final1 = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "ramps = obs.gen_exposures(im_slope=sci_slope2, targ_name=name_sci)\n", + "slope_final2 = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "ramps = obs.nrc_ref.gen_exposures(im_slope=ref_slope, targ_name=name_ref)\n", + "slope_ref = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.181705780261 0.187313652003 0.186214725001\n" + ] + } + ], + "source": [ + "med1 = np.median(slope_final1)\n", + "med2 = np.median(slope_final2)\n", + "med_ref = np.median(slope_ref)\n", + "\n", + "print(med1, med2, med_ref)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "half_size = 100\n", + "x1, x2 = (xnew-half_size, xnew+half_size)\n", + "y1, y2 = (ynew-half_size, ynew+half_size)\n", + "\n", + "ref_sub = slope_ref[y1:y2, x1:x2] - med_ref\n", + "im1_sub = slope_final1[y1:y2, x1:x2] - med1\n", + "im2_sub = slope_final2[y1:y2, x1:x2] - med2\n", + "\n", + "# Scale factor for Roll 1\n", + "scale1 = nrc_utils.scale_ref_image(im1_sub, ref_sub)\n", + "\n", + "# Scale factor for Roll 2\n", + "scale2 = nrc_utils.scale_ref_image(im2_sub, ref_sub)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4.16421934524 4.16230191062\n" + ] + } + ], + "source": [ + "print(scale1, scale2)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "mask_good = cmask>1e-2\n", + "diff1 = nrc_utils.optimal_difference(slope_final1, slope_ref, scale1, mask_good=mask_good,\n", + " center=(xnew,ynew), std_func=pynrc.robust.medabsdev)\n", + "diff2 = nrc_utils.optimal_difference(slope_final2, slope_ref, scale2, mask_good=mask_good,\n", + " center=(xnew,ynew), std_func=pynrc.robust.medabsdev)\n", + "\n", + "#diff1 = (slope_final1-med1) - (slope_ref-med_ref)*scale1\n", + "#diff2 = (slope_final2-med2) - (slope_ref-med_ref)*scale1" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from scipy.ndimage.interpolation import rotate\n", + "def rotateImage(img, angle, pivot, trim=True):\n", + " padX = [img.shape[1] - pivot[0], pivot[0]]\n", + " padY = [img.shape[0] - pivot[1], pivot[1]]\n", + " imgP = np.pad(img, [padY, padX], 'constant')\n", + " imgR = rotate(imgP, angle, reshape=False, cval=np.nan)\n", + " if trim: imgR = imgR[padY[0] : -padY[1], padX[0] : -padX[1]]\n", + " \n", + " return imgR" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Convert back to V2/V3 coordinates\n", + "diff1_v23 = nrc_utils.det_to_V2V3(diff1, detid)\n", + "diff2_v23 = nrc_utils.det_to_V2V3(diff2, detid)\n", + "cmask_v23 = nrc_utils.det_to_V2V3(cmask, detid)\n", + "\n", + "# De-rotate Roll2 onto Roll1 \n", + "xnew_flip = xpix - xnew\n", + "diff2_v23_rot = rotateImage(diff2_v23, roll_angle, (xnew_flip,ynew))\n", + "# Follow along with the coronagraphic mask\n", + "cmask_v23_rot = rotateImage(cmask_v23, roll_angle, (xnew_flip,ynew))" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Mask areas with low coronagraphic transmission\n", + "# Cut-off at 0.5 to exclude aliasing of rotated mask\n", + "mask_bad1 = cmask_v23 < 0.5\n", + "mask_bad2 = cmask_v23_rot < 0.5\n", + "\n", + "diff2_v23_rot[mask_bad2 & (~mask_bad1)] = diff1_v23[mask_bad2 & (~mask_bad1)]\n", + "diff1_v23[mask_bad1 & (~mask_bad2)] = diff2_v23_rot[mask_bad1 & (~mask_bad2)]" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Create a final image\n", + "im_final = (diff1_v23 + diff2_v23_rot) / 2\n", + "nan_mask = np.isnan(im_final)\n", + "im_final[nan_mask] = diff1_v23[nan_mask]" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Shift to center, rotate North up, then cut out a subarray \n", + "im_final_shift = nrc_utils.fshift(im_final, xpix/2-xnew_flip, ypix/2-ynew, pad=True)\n", + "im_final_rot = rotate(im_final_shift, PA1, reshape=False)\n", + "im_final_rot_sub = nrc_utils.pad_or_cut_to_size(im_final_rot, (800,800))" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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1qQ8nUx+LvtaDueGGOuwd6DZ5frzK6bFA0i2x33qP9s9F+0rYsaKis+d9ZnUH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\ngg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,1)\n", + "\n", + "ys, xs = im_final_rot_sub.shape\n", + "extent = np.array([-xs/2,xs/2,-ys/2,ys/2])*obs.pix_scale\n", + "\n", + "ax.imshow(im_final_rot_sub, vmin=0, vmax=5, extent=extent)\n", + "xylim = 5\n", + "ax.set_xlim([-xylim,xylim])\n", + "ax.set_ylim([-xylim,xylim])\n", + "ax.set_xlabel('Arcsec')\n", + "ax.set_ylabel('Arcsec')\n", + "ax.set_title('{} - {}'.format(obs.sp_sci.name,obs.filter))\n", + "\n", + "ax.tick_params(axis='both', color='white', which='both')\n", + "for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + "# Location of planet\n", + "loc = (np.array(obs.planets[0]['xyoff_pix'])+0.5) * obs.pix_scale\n", + "circle = matplotlib.patches.Circle(loc, radius=xylim/15., lw=1, edgecolor='red', facecolor='none')\n", + "ax.add_artist(circle);\n", + "\n", + "nrc_utils.plotAxes(ax, label1='E', label2='N')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/NRC_GTO_EpsEri_old.ipynb b/notebooks/NRC_GTO_EpsEri_old.ipynb new file mode 100644 index 00000000..fa65c0e3 --- /dev/null +++ b/notebooks/NRC_GTO_EpsEri_old.ipynb @@ -0,0 +1,1951 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "\n", + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages\n", + "import matplotlib.patches as patches" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import S\n", + "from pynrc.obs_nircam import model_to_hdulist\n", + "pynrc.setup_logging('WARNING', verbose=False)\n", + "\n", + "from astropy.io import fits" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Observations Definitions\n", + "\n", + "Functions to create at optimize a series of observation objects stored as a dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def make_key(filter, pupil=None, mask=None):\n", + " \"\"\"Create identification key (string) based on filter, pupil, and mask\"\"\"\n", + " mask_key = 'none' if mask is None else mask\n", + " pupil_key = 'none' if pupil is None else pupil\n", + " key = '{}_{}_{}'.format(filter,mask_key,pupil_key)\n", + " return key" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def model_info(source, filt, dist):\n", + " \n", + " base_dir = '/Volumes/NIRData/Andras_models_v2/'\n", + " model_dir = base_dir + source + '/'\n", + " \n", + " # Match filters with model\n", + " filt_switch = {'F182M':'F210M', 'F210M':'F210M', 'F250M':'F250M',\n", + " 'F300M':'F300M', 'F335M':'F335M', 'F444W':'F444W'}\n", + " filt_model = filt_switch.get(filt, filt)\n", + " fname = source + '_' + filt_model +'final.fits'\n", + "\n", + " bp = nrc_utils.read_filter(filt_model)\n", + " w0 = bp.avgwave() / 1e4\n", + "\n", + " # Model pixels are 4x oversampled\n", + " detscale = (nrc_utils.channel_select(bp))[0]\n", + " model_scale = detscale\n", + " \n", + " # File name, arcsec/pix, dist (pc), wavelength (um), flux units\n", + " args_model = (model_dir+fname, model_scale, dist, w0, 'Jy/pixel')\n", + "\n", + " return args_model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def obs_wfe(wfe_drift, filt_list, sp_sci, dist, sp_ref=None, disk_mod=True, fov_pix=None, verbose=False):\n", + " \"\"\"\n", + " For a given WFE drift and series of filters, create a list of \n", + " NIRCam observations. This function will calculate PSFs out to 320 pixels. \n", + " For the case of SW+MASK335R, we also assume that the subarray size matches \n", + " that of a simultaneous LW observation (320x320).\n", + " \"\"\"\n", + " if sp_ref is None:\n", + " sp_ref = sp_sci\n", + " \n", + " fov_pix_orig = fov_pix\n", + " \n", + " obs_dict = {}\n", + " for filt, mask, pupil in filt_list:\n", + " if verbose: print(filt, mask, pupil)\n", + "\n", + " # Disk Model\n", + " if disk_mod:\n", + " # Convert to photons/sec in specified filter\n", + " args_disk = model_info(sp_sci.name, filt, dist)\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt, pupil=pupil, mask=mask)\n", + " else:\n", + " hdu_disk = None\n", + " \n", + " # Create identification keys\n", + " key = make_key(filt, mask=mask, pupil=pupil)\n", + "\n", + " # Set the PSF size and oversampling amount\n", + " fov_pix = 320 if fov_pix is None else fov_pix\n", + " oversample = 2\n", + "\n", + " # Initialize and store the observation\n", + " # A reference obseration is stored inside each parent obs_coronagraphy class.\n", + " obs_dict[key] = pynrc.obs_coronagraphy(sp_sci, sp_ref, dist, wind_mode='FULL',\n", + " disk_hdu=hdu_disk, wfe_drift=wfe_drift,\n", + " filter=filt, mask=mask, pupil=pupil, \n", + " oversample=oversample, fov_pix=fov_pix,\n", + " verbose=verbose)\n", + " fov_pix = fov_pix_orig\n", + "\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def obs_optimize(obs_dict, sp_opt=None, well_levels=None, tacq_max=1800, **kwargs):\n", + " \"\"\"\n", + " Perform ramp optimization on each science and reference observation\n", + " in a list of filter observations. Updates the detector MULTIACCUM\n", + " settings for each observation in the dictionary.\n", + " \n", + " snr_goal = 5\n", + " snr_frac = 0.02\n", + " tacq_max = 1400\n", + " tacq_frac = 0.01\n", + " nint_min = 15\n", + " ng_max = 10\n", + " patterns = None\n", + " \"\"\"\n", + "\n", + " # A very faint bg object on which to maximize S/N\n", + " # If sp_opt is not set, then default to a 20th magnitude flat source\n", + " if sp_opt is None:\n", + " bp_k = S.ObsBandpass('k')\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + "\n", + " \n", + " # Some observations may saturate, so define a list of maximum well level\n", + " # values that we will incrementally check until a ramp setting is found\n", + " # that meets the contraints.\n", + " if well_levels is None:\n", + " well_levels = [0.8, 1.5, 3.0, 5.0, 10.0, 20.0, 100.0, 150.0, 300.0, 500.0]\n", + " \n", + " filt_keys = obs_dict.keys()\n", + " filt_keys.sort()\n", + " print(['Pattern', 'NGRP', 'NINT', 't_int', 't_exp', 't_acq', 'SNR', 'Well', 'eff'])\n", + " for j, key in enumerate(filt_keys):\n", + " print('')\n", + " print(key)\n", + "\n", + " obs = obs_dict[key]\n", + " sp_sci, sp_ref = (obs.sp_sci, obs.sp_ref)\n", + " \n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + "\n", + " sci = obs\n", + " ref = sci.nrc_ref\n", + "\n", + " # Ramp optimization for both science and reference targets\n", + " for obs2, sp in zip([sci, ref], [sp_sci, sp_ref]):\n", + " i = nrow = 0\n", + " while nrow==0:\n", + " well_max = well_levels[i]\n", + " tbl = obs2.ramp_optimize(sp_opt, sp, well_frac_max=well_max, tacq_max=tacq_max, **kwargs)\n", + " nrow = len(tbl)\n", + " i+=1\n", + " \n", + " # Grab the highest ranked MULTIACCUM settings and update the detector readout\n", + " v1, v2, v3 = tbl['Pattern', 'NGRP', 'NINT'][0]\n", + " \n", + " vals = tbl[0].as_void()\n", + " strout = ', '.join(map(str, vals))\n", + " print(strout)\n", + "\n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " # Only for Debris Disk program\n", + " #is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + " #if is_SW: v3 *= 2\n", + " \n", + " # Coronagraphic observations have two roll positions, so cut NINT by 2\n", + " if obs.mask is not None: v3 = int(v3/2) \n", + " obs2.update_detectors(read_mode=v1, ngroup=v2, nint=v3)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting contrasts and planet magnitudes\n", + "\n", + "Functions to plot simulated images and contrast curves" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def plot_contrasts(curves, wfe_list, ax=None, colors=None, return_ax=False):\n", + " \"\"\"Plot a series of contrast curves for corresponding WFE drifts.\"\"\"\n", + " if ax is None:\n", + " fig, ax = plt.subplots()\n", + " if colors is None:\n", + " lin_vals = np.linspace(0.2,0.7,len(wfe_list))\n", + " colors = plt.cm.Blues_r(lin_vals)[::-1]\n", + " for j, wfe_drift in enumerate(wfe_list):\n", + " rr, contrast, mag_sens = curves[j]\n", + " label=\"WFE Drift = {} nm\".format(wfe_list[j])\n", + " ax.plot(rr, mag_sens, label=label, color=colors[j], zorder=1, lw=2)\n", + " \n", + " if return_ax: return ax\n", + "\n", + "\n", + "def planet_mags(obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Determine series of exoplanet magnitudes for given observation.\"\"\"\n", + "\n", + " pmag = {}\n", + " for i,m in enumerate(mass_list):\n", + " flux_list = []\n", + " for j,av in enumerate(av_vals):\n", + " sp = obs.planet_spec(mass=m, age=age, Av=av, entropy=entropy, atmo='hy3s')\n", + " sp_obs = S.Observation(sp, obs.bandpass, binset=obs.bandpass.wave)\n", + " flux = sp_obs.effstim('vegamag')\n", + " flux_list.append(flux)\n", + " pmag[m] = tuple(flux_list)\n", + " \n", + " return pmag\n", + "\n", + " \n", + "def plot_planet_patches(ax, obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Plot exoplanet magnitudes in region corresponding to extinction values.\"\"\"\n", + " \n", + " xlim = ax.get_xlim()\n", + " cols = plt.cm.tab10(np.linspace(0,1,10))\n", + " \n", + " dist = obs.distance\n", + " \n", + " pmag = planet_mags(obs, age, entropy, mass_list, av_vals)\n", + " for i,m in enumerate(mass_list):\n", + " pm_min, pm_max = pmag[m]\n", + " label = 'Mass = {} '.format(m) + '$M_{\\mathrm{Jup}}$'\n", + " rect = patches.Rectangle((xlim[0], pm_min), xlim[1], pm_max-pm_min, alpha=0.2,\n", + " color=cols[i], label=label, zorder=2)\n", + " ax.add_patch(rect)\n", + " ax.plot(xlim, [pm_min]*2, color=cols[i], lw=1, alpha=0.3)\n", + " ax.plot(xlim, [pm_max]*2, color=cols[i], lw=1, alpha=0.3)\n", + " \n", + "\n", + " entropy_switch = {13:'Hot', 8:'Cold'}\n", + " entropy_string = entropy_switch.get(entropy, lambda: \"Warm\")\n", + " ent_str = entropy_string + ' Start'\n", + " #ent_str = '{} Start'.format(entropy_string)\n", + "\n", + " av_str = '$A_V = [{:.0f},{:.0f}]$'.format(av_vals[0],av_vals[1])\n", + " age_str = 'Age = {:.0f} Myr; '.format(age)\n", + " dist_str = 'Dist = {:.1f} pc; '.format(dist) if dist is not None else ''\n", + " #dist_str=\"\"\n", + "\n", + " ax.set_title('{} -- {} ({}{}{})'.format(obs.filter,ent_str,age_str,dist_str,av_str))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from copy import deepcopy\n", + "\n", + "def plot_images(obs_dict, hdu_dict, filt_keys, wfe_drift, save_fig=False):\n", + " nfilt = len(filt_keys)\n", + " ext_name = ['Model', 'Sim Image (linear scale)', 'Sim Image ($r^2$ scale)']\n", + " nim = len(ext_name)\n", + "\n", + " fig, axes = plt.subplots(nim, nfilt, figsize=(14,7.5))\n", + " axes = axes.transpose()\n", + " for j, k in enumerate(filt_keys):\n", + " obs = obs_dict[k]\n", + " hdu_mod = obs.disk_hdulist\n", + " hdu_sim = hdu_dict[k]\n", + "\n", + " # Make r^2 scaled version of data\n", + " hdu_sim_r2 = deepcopy(hdu_sim)\n", + " data = hdu_sim_r2[0].data\n", + " header = hdu_sim_r2[0].header\n", + " rho = nrc_utils.dist_image(data, pixscale=header['PIXELSCL'])\n", + " data *= rho**2\n", + "\n", + " # Max value for model\n", + " data_mod = hdu_mod[0].data\n", + " header_mod = hdu_mod[0].header\n", + " rho_mod = nrc_utils.dist_image(data_mod, pixscale=header_mod['PIXELSCL'])\n", + " data_mod_r2 = data_mod*rho_mod**2\n", + " vmax = np.max(data_mod)\n", + " vmax2 = np.max(data_mod_r2)\n", + " \n", + " # Scale value for data\n", + " mask_good = data_mod>(0.1*vmax)\n", + " scl1 = np.median(hdu_sim[0].data[mask_good] / data_mod[mask_good])\n", + " \n", + " # Scale value for r^2 version\n", + " mask_good = data_mod_r2>(0.1*vmax2)\n", + " scl2 = np.median(hdu_sim_r2[0].data[mask_good] / data_mod_r2[mask_good])\n", + "\n", + " vmax_vals = [vmax,vmax*scl1,vmax2*scl2]\n", + " hdus = [hdu_mod, hdu_sim, hdu_sim_r2]\n", + " for i, ax in enumerate(axes[j]):\n", + " hdulist = hdus[i]\n", + " data = hdulist[0].data\n", + " header = hdulist[0].header\n", + "\n", + " pixscale = header['PIXELSCL']\n", + " rho = nrc_utils.dist_image(data, pixscale=pixscale)\n", + "\n", + " rad = data.shape[0] * pixscale / 2\n", + " extent = [-rad, rad, -rad, rad]\n", + "\n", + " ax.imshow(data, vmin=0, vmax=0.9*vmax_vals[i], extent=extent)\n", + "\n", + " ax.set_aspect('equal')\n", + " if j > 0: ax.set_yticklabels([])\n", + " if i < nim-1: ax.set_xticklabels([])\n", + " if i==nim-1: ax.set_xlabel('Arcsec')\n", + " if j==0: ax.set_ylabel(ext_name[i])\n", + "\n", + " if i==0: ax.set_title(obs.filter)\n", + "\n", + " if fov>2*rad:\n", + " xlim = [-rad,rad]\n", + " ylim = [-rad,rad]\n", + " else:\n", + " xlim = [-fov/2,fov/2]\n", + " ylim = [-fov/2,fov/2]\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + " ax.tick_params(axis='both', color='white', which='both')\n", + " for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + " \n", + " texp = obs_dict[filt_keys[-1]].multiaccum_times['t_exp']\n", + " texp = round(2*texp/100)*100\n", + " exp_text = \"t_exp = {:.0f} sec\".format(texp)\n", + " wfe_text = \"WFE Drift = {} nm\".format(wfe_drift)\n", + " fig.suptitle('{} ({}; {})'.format(name_sci, exp_text, wfe_text), fontsize=16);\n", + " fig.tight_layout()\n", + "\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.9, bottom=0.07 , left=0.05, right=0.97)\n", + " \n", + " fname = \"{}_images.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Functions to init, optimize, and plot" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Generate initial observations for each filter(no WFE drift)\n", + "def do_init(disk_mod=True, fov_pix=1024, verbose=True):\n", + " wfe_drift = 0\n", + " obs_dict = obs_wfe(wfe_drift, args_list, sp_sci, dist_sci, sp_ref=sp_ref, \n", + " disk_mod=disk_mod, fov_pix=fov_pix, verbose=verbose)\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Optimize observations\n", + "def do_opt(tacq_max, **kwargs):\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + " obs_optimize(obs_dict, sp_opt=sp_opt, tacq_max=tacq_max, **kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# For each filter setting, generate a series of contrast curves at different WFE values\n", + "def do_contrast(wfe_list, filt_keys, nsig=5, roll_angle=None):\n", + " contrast_all = {}\n", + " for i, key in enumerate(filt_keys):\n", + " print(key)\n", + " obs = obs_dict[key]\n", + "\n", + " filt, mask, pupil = args_list[i]\n", + " if roll_angle is None:\n", + " roll_angle = 0 if mask is None else 10\n", + "\n", + " # Stores tuple of (Radial Distances, Contrast, and Sensitivity) for each WFE drift\n", + " curves = []\n", + " for wfe_drift in wfe_list:\n", + " obs.wfe_drift = wfe_drift\n", + " result = obs.calc_contrast(roll_angle=roll_angle, nsig=nsig)\n", + " curves.append(result)\n", + "\n", + " contrast_all[key] = curves\n", + " return contrast_all" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_plot_contrast(obs, curves, wfe_list, nsig, age, xlim=[0,10], ylim=[24,8], save_fig=False):\n", + "\n", + " fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + " entropy_vals = [13,8]\n", + "\n", + " for j, ax in enumerate(axes.flatten()):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " plot_contrasts(curves, wfe_list, ax=ax)\n", + " plot_planet_patches(ax, obs, age=age, entropy=entropy_vals[j])\n", + "\n", + " for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " ax.legend(ncol=2)\n", + "\n", + " fig.tight_layout()\n", + " \n", + " t_exp = obs.multiaccum_times['t_exp']\n", + " t_exp = round(2*t_exp/100)*100\n", + " fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + " #fig.subplots_adjust(top=0.85)\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n", + "\n", + " fname = \"{}_contrast.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_gen_hdus(obs_dict, wfe_drift, **kwargs):\n", + " \n", + " hdulist_dict = {}\n", + " for key in filt_keys:\n", + " obs = obs_dict[key]\n", + " obs.wfe_drift = wfe_drift\n", + " hdulist = obs.gen_roll_image(PA1=0, PA2=10, **kwargs)\n", + " \n", + " hdulist_dict[key] = hdulist\n", + " \n", + " return hdulist_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Eps Eri" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# List of filters\n", + "args_list = [('F356W', 'MASK430R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK430R', 'CIRCLYOT')]\n", + "\n", + "filt_keys = []\n", + "for filt,mask,pupil in args_list:\n", + " filt_keys.append(make_key(filt, mask=mask, pupil=pupil)) " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# K-Band Filter\n", + "bp_k = S.ObsBandpass('k')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "outdir = '/Volumes/NIRData/Andras_obs_v3/'" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "name_sci, dist_sci, fov, age, spt_sci, kmag_sci = ('Eps Eri', 3.2, 20, 500, 'K2V', 1.67)\n", + "name_ref, spt_ref, kmag_ref = ('HR1050', 'K2III', 3.245)\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F356W MASK430R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F444W MASK430R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n" + ] + } + ], + "source": [ + "obs_dict = do_init(verbose=True, disk_mod=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "for k in filt_keys:\n", + " obs = obs_dict[k]\n", + " obs.wfe_drift = 5" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "obs1 = obs_dict[filt_keys[0]]\n", + "obs2 = obs_dict[filt_keys[1]]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "obs1.update_detectors(read_mode='RAPID', ngroup=9, nint=5)\n", + "obs1.nrc_ref.update_detectors(read_mode='RAPID', ngroup=9, nint=5)\n", + "\n", + "obs2.update_detectors(read_mode='BRIGHT2', ngroup=7, nint=6)\n", + "obs2.nrc_ref.update_detectors(read_mode='BRIGHT2', ngroup=7, nint=6)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Full frame slope images\n", + "xpix = obs1.det_info['xpix']\n", + "ypix = obs1.det_info['ypix']" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F356W_MASK430R_CIRCLYOT\n", + "F444W_MASK430R_CIRCLYOT\n" + ] + } + ], + "source": [ + "wfe_list = [0,5]\n", + "nsig = 5\n", + "curves_dict = do_contrast(wfe_list, filt_keys, nsig=nsig)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "curves1 = curves_dict[filt_keys[0]]\n", + "curves2 = curves_dict[filt_keys[1]]" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1st Frame Saturation for Eps Eri + F356W: 0.83\n", + "1st Frame Saturation for Eps Eri + F444W: 0.39\n", + "1st Frame Saturation for HR1050 + F356W: 0.20\n", + "1st Frame Saturation for HR1050 + F444W: 0.09\n" + ] + } + ], + "source": [ + "# Determine number of saturated pixels where fixing is unreliable\n", + "rmax1 = []\n", + "rmax2 = []\n", + "nsat1 = []\n", + "nsat2 = []\n", + "for sp in [sp_sci, sp_ref]:\n", + " #######################################\n", + " # F356W Observation\n", + " #######################################\n", + " sat_level = obs1.saturation_levels(sp)\n", + " print('1st Frame Saturation for {} + {}: {:.2f}'.format(sp.name,obs1.filter,sat_level.max()))\n", + " sat_mask = sat_level > 0.8\n", + " rho = nrc_utils.dist_image(sat_level)\n", + " \n", + " # How many saturated values can we easily fix?\n", + " sat_level[sat_mask] = np.nan\n", + " sat_level = nrc_utils.fix_nans_with_med(sat_level, niter_max=2)\n", + " \n", + " # Set any NaNs to 1.0\n", + " nan_mask = np.isnan(sat_level)\n", + " sat_level[nan_mask] = 1\n", + " sat_mask = sat_level > 0.8\n", + " \n", + " # Get final info about saturation levels\n", + " nsat = np.size(rho[sat_mask]) \n", + " rval = rho[sat_mask].max() if nsat>0 else 0\n", + " nsat1.append(nsat)\n", + " rmax1.append(rval*obs1.pix_scale)\n", + "\n", + " #######################################\n", + " # F444W Observation\n", + " #######################################\n", + " sat_level = obs2.saturation_levels(sp)\n", + " print('1st Frame Saturation for {} + {}: {:.2f}'.format(sp.name,obs2.filter,sat_level.max()))\n", + " sat_mask = sat_level > 0.8\n", + "\n", + " # How many saturated values can we easily fix?\n", + " sat_level[sat_mask] = np.nan\n", + " sat_level = nrc_utils.fix_nans_with_med(sat_level, niter_max=2)\n", + " \n", + " # Set any NaNs to 1.0\n", + " nan_mask = np.isnan(sat_level)\n", + " sat_level[nan_mask] = 1\n", + " sat_mask = sat_level > 0.8\n", + "\n", + " # Get final info about saturation levels\n", + " nsat = np.size(rho[sat_mask]) \n", + " rval = rho[sat_mask].max() if nsat>0 else 0\n", + " nsat2.append(nsat)\n", + " rmax2.append(rval*obs2.pix_scale)\n", + " \n", + "\n", + "rmax1 = np.max(rmax1)\n", + "rmax2 = np.max(rmax2)\n", + "nsat1 = np.max(nsat1)\n", + "nsat2 = np.max(nsat2)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 0\n", + "0.0 0.0\n" + ] + } + ], + "source": [ + "print(nsat1, nsat2)\n", + "print(rmax1, rmax2)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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dOjRt2hSAunXrcvDgwRI9h4pKBOd9jjUXKqWqAs2FlT8XVtzGo555VEqVgaKO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\n8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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "xlim=[0,30]\n", + "ylim=[24,8]\n", + "\n", + "fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + "ax1, ax2 = axes\n", + "entropy_vals = [13,8]\n", + "\n", + "for j, ax in enumerate(axes):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + "plot_contrasts(curves1, wfe_list, ax=ax1)\n", + "plot_contrasts(curves2, wfe_list, ax=ax2)\n", + "plot_planet_patches(ax1, obs1, age=age, entropy=8, av_vals=[0,10])\n", + "plot_planet_patches(ax2, obs2, age=age, entropy=8, av_vals=[0,10])\n", + "\n", + "label = 'Saturation'\n", + "if rmax1>0:\n", + " rect1 = patches.Rectangle((0,ylim[0]), rmax1, ylim[1]-ylim[0], alpha=0.5,\n", + " color='grey', label=label, zorder=2)\n", + " ax1.add_patch(rect1)\n", + "if rmax2>0:\n", + " rect2 = patches.Rectangle((0,ylim[0]), rmax2, ylim[1]-ylim[0], alpha=0.5,\n", + " color='grey', label=label, zorder=2)\n", + " ax2.add_patch(rect2)\n", + "\n", + "for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.legend(ncol=1)\n", + " \n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + "fig.tight_layout()\n", + "\n", + "#t_exp = obs.multiaccum_times['t_exp']\n", + "#t_exp = round(2*t_exp/100)*100\n", + "#fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + "fig.suptitle(name_sci, fontsize=16);\n", + "#fig.subplots_adjust(top=0.85)\n", + "fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Full observation simulations" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Select F444W with two rolls at PA of 250 and 260\n", + "obs = obs2\n", + "\n", + "roll_angle = 10\n", + "PA1 = 250\n", + "PA2 = PA1 + roll_angle" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Detector ID\n", + "det = obs.Detectors[0]\n", + "detid = det.detid" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Get mask center from SIAF aperture file\n", + "from jwxml import siaf\n", + "inst = siaf.SIAF('NIRCam')\n", + "apname = 'NRC'\n", + "ap = inst['NRCA5_MASK430R']\n", + "mask_cen = ap.center('Det')" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Add random planet\n", + "rtheta = (3, 45.0) # 3\" at PA=45\n", + "# Output images will be in coordinates with V3 up and V2 to the left\n", + "obs.add_planet(mass=1, age=age, entropy=8, rtheta=rtheta, runits='arcsec')" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Coronagraphic Transmission mask\n", + "# +V3 is up, and +V2 is to the left\n", + "# Pixel (0,0) is bottom right\n", + "cmask = nrc_utils.build_mask('A', pixscale=obs.pix_scale) + 999\n", + "cmask = nrc_utils.pad_or_cut_to_size(cmask, (ypix,xpix))\n", + "\n", + "# Place cmask in detector coords\n", + "cmask = nrc_utils.V2V3_to_det(cmask, detid)\n", + "\n", + "# Shift cmask to appropriate location\n", + "# ie., move MASK430R from center\n", + "xc, yc = (xpix/2, ypix/2)\n", + "xnew, ynew = (int(mask_cen[0]), int(mask_cen[1])) # In detector coords\n", + "delx = xnew - xc\n", + "dely = ynew - yc\n", + "\n", + "cmask = nrc_utils.fshift(cmask, delx, dely) + 1\n", + "cmask[cmask>10] = cmask[cmask>10] - 1000\n", + "\n", + "cmask[1500:,0:260]=0\n", + "cmask[1500:,1900:]=0\n", + "cmask[1820:,:] = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Make zodiacal background image\n", + "im_zodi = cmask * obs.bg_zodi()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Planet Images\n", + "im_pl1 = obs.gen_planets_image(PA_offset=PA1)\n", + "im_pl2 = obs.gen_planets_image(PA_offset=PA2)\n", + "\n", + "# Convert to Detector Coordinates (flip along x-axis)\n", + "im_pl1 = nrc_utils.V2V3_to_det(im_pl1, detid)\n", + "im_pl2 = nrc_utils.V2V3_to_det(im_pl2, detid)\n", + "\n", + "# Shift to MASK430R spot\n", + "im_pl1 = nrc_utils.fshift(im_pl1, delx, dely, pad=True)\n", + "im_pl2 = nrc_utils.fshift(im_pl2, delx, dely, pad=True)\n", + "\n", + "# Mask out opaque areas from disk\n", + "imask = cmask<1e-2\n", + "im_pl1[imask] = im_pl1[imask]*cmask[imask]\n", + "im_pl2[imask] = im_pl2[imask]*cmask[imask]" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Create stellar images\n", + "im_star = obs.gen_psf(sp_sci)\n", + "im_ref = obs.nrc_ref.gen_psf(sp_ref)\n", + "\n", + "im_star = nrc_utils.pad_or_cut_to_size(im_star, (ypix,xpix))\n", + "im_ref = nrc_utils.pad_or_cut_to_size(im_ref, (ypix,xpix))\n", + "\n", + "# Convert to Detector Coordinates (flip along x-axis)\n", + "im_star = nrc_utils.V2V3_to_det(im_star, detid)\n", + "im_ref = nrc_utils.V2V3_to_det(im_ref, detid)\n", + "\n", + "# Shift to MASK430R spot\n", + "im_star = nrc_utils.fshift(im_star, delx, dely, pad=True)\n", + "im_ref = nrc_utils.fshift(im_ref, delx, dely, pad=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "sci_slope1 = im_star + im_pl1 + im_zodi\n", + "sci_slope2 = im_star + im_pl2 + im_zodi\n", + "\n", + "ref_slope = im_ref + im_zodi\n", + "\n", + "# Make sure there are no negative numbers\n", + "#for slp in [sci_slope1, sci_slope2, ref_slope]:\n", + "# slp[slp<0] = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Superbias for data reduction\n", + "caldir = pynrc.conf.PYNRC_PATH + 'sca_images/'\n", + "fbias = caldir + 'SUPER_BIAS_485.FITS'\n", + "hdl = fits.open(fbias)\n", + "bias = hdl[0].data" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def average_slopes(ramps, bias):\n", + " \"\"\"\n", + " For a series of ramps, calculate the slope images then average together.\n", + " Would it be better to average integrations into one ramp, then find slope???\n", + " \n", + " \n", + " \"\"\"\n", + "\n", + " slopes_fin = []\n", + " for i in range(len(ramps)):\n", + " #print(i)\n", + " hdulist = ramps[i]\n", + " data = hdulist[1].data\n", + " header = hdulist[0].header\n", + " ref_obj = pynrc.ref_pixels.NRC_refs(data, header, DMS=True)\n", + " ref_obj.calc_avg_amps()\n", + " ref_obj.correct_amp_refs()\n", + "\n", + " # Subtract superbias\n", + " data_corr = ref_obj.data\n", + " for im in data_corr:\n", + " im -= bias\n", + "\n", + " # Create time array\n", + " ng = data_corr.shape[0]\n", + " tvals = (np.arange(ng)+1) * obs.multiaccum_times['t_group']\n", + "\n", + " # Flatten image space to 1D\n", + " data_corr = data_corr.reshape([ng,-1])\n", + "\n", + " # Make saturation mask\n", + " sat_val = 0.8*data_corr.max()\n", + " sat_mask = data_corr > sat_val\n", + "\n", + " # Create slope images\n", + " # Cycle through frames using only unsaturated pixels \n", + " im_slope = np.zeros_like(data_corr[0]) - 10\n", + " for i in np.arange(1,ng)[::-1]:\n", + " ind = (im_slope==-10) & (~sat_mask[i])\n", + " if np.any(ind): # Check if any pixels are still True\n", + " im_slope[ind] = pynrc.fast_poly.jl_poly_fit(tvals, data_corr[:,ind])[1]\n", + " #print(im_slope[ind].shape)\n", + "\n", + " # Special case of only first frame unsaturated\n", + " ind = (im_slope==-10) & (~sat_mask[0])\n", + " im_slope[ind] = data_corr[:,ind] / tvals[0]\n", + " #print(im_slope[ind].shape)\n", + "\n", + " # If saturated on first frame, set to NaN\n", + " ind = sat_mask[0]\n", + " im_slope[ind] = np.nan\n", + " #print(im_slope[ind].shape)\n", + "\n", + " data_corr = data_corr.reshape([ng,ypix,xpix])\n", + " im_slope = im_slope.reshape([ypix,xpix])\n", + " slopes_fin.append(im_slope)\n", + "\n", + " slopes_fin = np.array(slopes_fin)\n", + " slope_final = np.nanmedian(slopes_fin, axis=0)\n", + " \n", + " # Fix NaNs\n", + " slope_final = nrc_utils.fix_nans_with_med(slope_final)\n", + "\n", + " return slope_final" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "ramps = obs.gen_exposures(im_slope=sci_slope1, targ_name=name_sci)\n", + "slope_final1 = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "ramps = obs.gen_exposures(im_slope=sci_slope2, targ_name=name_sci)\n", + "slope_final2 = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "ramps = obs.nrc_ref.gen_exposures(im_slope=ref_slope, targ_name=name_ref)\n", + "slope_ref = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.18127057565 0.174012376091 0.181151225458\n" + ] + } + ], + "source": [ + "med1 = np.median(slope_final1)\n", + "med2 = np.median(slope_final2)\n", + "med_ref = np.median(slope_ref)\n", + "\n", + "print(med1, med2, med_ref)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [], + "source": [ + "x1, x2 = (xnew-50, xnew+50)\n", + "y1, y2 = (ynew-50, ynew+50)\n", + "\n", + "ref_sub = slope_ref[y1:y2, x1:x2] - med_ref\n", + "im1_sub = slope_final1[y1:y2, x1:x2] - med1\n", + "im2_sub = slope_final2[y1:y2, x1:x2] - med2\n", + "\n", + "# Scale factor for Roll 1\n", + "scale1 = nrc_utils.scale_ref_image(im1_sub, ref_sub)\n", + "\n", + "# Scale factor for Roll 2\n", + "scale2 = nrc_utils.scale_ref_image(im2_sub, ref_sub)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4.19846924841 4.22462300151\n" + ] + } + ], + "source": [ + "print(scale1, scale2)" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# In detector coords\n", + "diff1 = (slope_final1-med1) - (slope_ref-med_ref)*scale1\n", + "diff2 = (slope_final2-med2) - (slope_ref-med_ref)*scale2" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "mask_good = cmask>1e-2\n", + "diff1 = nrc_utils.optimal_difference(slope_final1, slope_ref, scale1, mask_good=mask_good,\n", + " center=(xnew,ynew))#, std_func=pynrc.robust.medabsdev)\n", + "diff2 = nrc_utils.optimal_difference(slope_final2, slope_ref, scale2, mask_good=mask_good,\n", + " center=(xnew,ynew))#, std_func=pynrc.robust.medabsdev)" + ] + }, + { + "cell_type": "code", + "execution_count": 339, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [], + "source": [ + "for i in range(nbins):\n", + " if std2[i] < std1[i]:\n", + " diff1_good[igroups[i]] = diff2_good[igroups[i]]\n", + "\n", + "diff1[mask_good] = diff1_good" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Y0pSN8hpj8O7GrbDtdiED8kBjKbbPXr1MdNPrITscBjqt1/Fst86xwRFs3FrO\nyo6YGhrvEJZOtNieNGYLgXZhUAVMunBcKaYUB0nzg6K4UXjv8YK7dI6o75fGWXkMlbI+48+Xgvll\n9kkUgBbiQPHhLGy/WxSWi55BGVenNI07hHFaZuIVjikFcU9qcQzDjUbvDIzdBvwJ3jH+WF6l05S9\n5EhSAC7LMcMs51arfsV4DBJII3gq4pW76aww6NxkqudSmdX5nL1pYwtbONWKqNKdCHi+6XR0Gy14\nmyQHCa2s0ErQTv7geRR/6XpxhmUw5IJjFpKaxMMPMI/PONBTSLRSxkRRo0Lw7XISkkIvyBc+ShL2\n2iNPXnZZErdQz4qIdVlGI9heT70qvwjed6vJ2Z3jMdzwWN+D6XY1DZ2DsNEuIAhjyVZedk8ineDT\nlL32JssMeNGGmUxAtRr80TGScxvIDodR5iYBxvCz11gkrGDcnAf1uny9KUOJ1O3AjznDlNothgSt\nRXLxAscapvz8Jhgd0wo4bODhiwwCJczBViclZMGqwzGdKZ5OTU5WsisDDcIXxovgywE3l3ehmHQE\ne/CXJyttxuMgzpbVBTeSDYgT3cpjhXcidd2R5teKvFZr8nsL/SSOXPl5AORz3TuNU9n1NYVWRQ8q\nOxzmx4dmg3KmaTQKiW1x/9n1tZCgFbT/W608UU2etVbngK3Edk5x5NROGHbA7MoAbjRCcu/FyuNP\na287w07GsPcVJmMsW2uaTWYVGKsemARNNIsyGGw9X5LkSSndTr7ih+QLwavFAGtUu5ErAcrxYlhF\nclRwW/k/gAIOKti2G41YZCpg7H6RFrJMqZbki4AoCwK8m6jACjmZpyjgJQwC6SdTr+WB5Cq5hRCo\nBBgbFePB+tQifmZ4IVtdLeLqzSbvfohgNzd18Op7ardZGVGyFmNmQtgF6aJlbA5BhYAmPxixIXVZ\nDpcIbU4D2+MwOb0GV+Ue3WgEu7aiioyaNdsM7KFgYN3hsOAQUFKDOziEWV1hb7nbgel1GQ6ZzUCt\nphp6ajZA7TZ72b0ev+ubO5xlOl/AH48VBkGWwe3uKa0wu7UDNBrsRMwXSvWTZ7GS4dpoMK4f4gMU\nmDym0eDr1rnvTasJ0+/z+AkJUtnwmPvZGIU2TbutxoqShMXMwr8lQUn0YaheLxhK025rBnjsMMl4\nKjtgJ1ECywFBTUILDoLOi5BxKTEWfccSTwrjJ5ZuiO9Vd6XiKKQpstCX4jAI5s/yxU7Ht7Cl/Hyu\ncSD1uAVMiOd9AAAgAElEQVSO2d3jHWLGi7DCvNOpOg9+MQfCzpkCq0znUa+nC41qNQUIiJJaLvtw\nOLxjKOZtZ9gXfo6Xpp/AS/PnsGNusFcUmmzpyBBvRWXyA2pgqeRF+ZCVRklSSDAQxoXi+cEAlxMK\nJL0c4BfOnOVFLqoPaEINP8AiGKFEjV1yfptx//mCt/aLeYEv7SYThRHcbAYKCwrj3HUNDOqiEZ65\nLAmsW0HvGVMtbTvjwa867RGWqkEqMkGKwDGmur8f8EbPiTZBmwbeK3URweuy62vKhMBsFvS5xzmr\nJrANMrle4FSTtSqZyzdrigFgBI8tTD4x2tlwqAFGmbyx5IMEiPkAzoBlnfQUcA6m28mNr3MwnRbM\n6gqymzv5GJrxbo098VnQQXe8i2vWme5oDahW48XMOdDaCqjTgu+24ScTJgH0erzgDfqwmxvIbt7i\nnYaIc4VFn2p1paxmxyO+VyJmiEmQs9fjcbtYcPzEBw2Xej0P9rqMdxDtFqtKht0NDViL3Qz6wIIN\nVyHxJ0CE2XDIvHbRCp9MAvRpco83MjgS4JexKXMmzsrN32/pd/oH6QITe+6C9cs40l2YyzSGBGN1\noXPjMXvUYRGLFyWtzaBicg7Z8Dh3CuYLhgkdL7LyjvjLnDEEhJ2hd0uy0wAjD6bZZOmRAA1r8leS\ni+MVNOQlOTJd4Bau4WX8IT5//P9h4f8EMk//NFuf1rxUOQHECJulDC0ZIDF/GoDy0wEUsyaJiv+X\n46syJmMcPMb4os9jvqtE8uPsMfWkazUO+sl9BuzOdLvKAWfKX7qMUcf3GhJsJOlJcNq4LWWwRVmS\nysGNkk1iLDTOvC0kjkTyBPmFSnhqwDoV/485uyXOfqzw5+dzpucdDgssB2XUdNownTaLwQVMXSax\nVr+J33kp6aigbjiPaHEinmUtQxjNRo71JwnM+hp73PM5YAwzFwzBHx2D6jW+/toK3O4+Z5ImYTJO\nJqCVAdMUG3UOok5mcCs9mJ0QbNvZhRn0VQrYjcdILl6AH7HWuQm0SL8IRT3IcKKeMZEHOc3HjfD2\npzP4zMFePA9/dKxJaxpDEL52SQuId1DdQpKb3Vhn+CjLBcjUcWo2lAeu/Oyq/JIwRuGCR1uvFeZI\nVbPra/lYCEFihCxM+Sx2qOLnK06EUhZsqZXzLgotzo8Jmcfl7FtgOe5gmk2VipBcAomBxMmK5diY\nxILEHmgCV6mf3hEYe0FdTbYzKEbEpdJOIbCWJLm2RVDryxUII90T5B5FWQ9argmgIHAkkI94zXGw\nxY1GeZZprc4r/XyhPPTY65d709V6vsj1rIFKo87VbqJJETjv4unoQhLtbpR/HDFvlnRlgtetuhgV\nQdlsOCxMDo1/xE34zOIxO690xqVjw/ugOr8Tdzwq8qkzyXhkFlF6/QazaMAQFHv2RhUHpf9jMTcA\nnIgUmAaxSqUY9ZzzHun4By8wu3GT2UH3bPHuYmcHZAyo1wU21pjGuEi53OJ0ynKrxgDnNoBFynog\nWQbUa/CtBmg6g18bcPKS8+zZN0IyVbsNt7evRp1L/AVY6nAI6rRzIwrAbJ/jHYoxvDCurvCCagxn\nCN+4peqSsjuSccDsmoVu+d1kGp4vN+oAlOUlQWXhqaNWyxOPgvdMxHCZ7YfKSisr4dpGE+TgXT5H\nZMgo46mj7zHb3ePdQKAf+9iTDeM1rmIkhrcwFGt1pjSH48tNnBtdPMpQZ2C0qW59rKAZHCDpz/ia\nUsVLEAN3dAQ3CrCx0EuFhdTItXGy4ZA/XywUljxt8Ttre1t67E/T9y5/URWJj9tpOhQV2arl4yWL\n78RWsdp+3cfGbJj4WKJCuvISY6XivJJxGSdNFQSZznKPFZ6N4tChcIQO5NijqUifPgvLJs6olb99\n5lCpHS9SClmmLJH4PJolGe0+Tusv/Up2KAAbpq1zXGZveAyztsI0toDNM9bPpf+o3QLVasxdHvTh\ne23g1h4vWPU6T9B2C9l6D/YmU+h8LYH72lsB6+X0fYG+/CKFfeA+0PEYbnjExr7XhTs8Uill2eHE\nYnDCY5f6BKbVynd9JY0VHdvGqh6N6geVGU5idOp1NuIljZeY5QJrc6KCLKharBtLXnOsTSTMJLO+\nxpotUfq/sNXUW5ZdYQWj5DTWT5XWzUmtsKM9YQyfpFMj8idVUgLxDuOkHX+cbxLXcuUfMUz8jvDY\nK5sEL0tN8bmyYbK28LkGPUzxc+nATIyMVFUqByu8L+wOlu5DvosoeNUHkrJh4nqTojNdCDiZ5Xso\nN8ma1NPXi3rwVcFXPq6eB5YjWEWpiyGT02euWE0mWgwE6tHnQr7bKrAT4n4zNt9phXfh5gtOZAn0\nOACa1au7lrWVwk5Kg+YBlzf1WmGBZL2bbjH4F3Zboqhn+13YzXV+lsNhnhV7zPIH1GoC1jBzpV7j\nANnhEatCLhacZLLPQTb0Opg/sMmxBu9hxnPmqXdaoMkM9sJ5mEEfptNSBovp91kg7HgMP54EOi57\n7KbDDAtqtYKhSUG9bp6denwcmD9hPIUKTwBg+l2NFcm7LO+elO0lcQ8ZT4H9RUSBGpuoUY1JAn6R\nhuzlUMkrsNikpJt4zWQoJzukizzTMwQXVYjLew0QigKrUF1VlE8ygTUob4uslVAhqsACC8fFc79A\ncIgCuBIrO7E+QFTZKp5XS/IJkY2JHWcf7S5EjIyfp639VWDzBbLGaXbnpPZNYdhFd7r8mXKTK1p5\n9RSskAwXZy5LE5RpkQW8tsRP1SSXONsyQAh6nsjrVlgivh5R4eVWbb9inFoy7mLjJNtf77xKKpSZ\nCMIUiXXKJSHHdDsc0A1BHmEm5Dfgi1vRaGBSLeGs0GghKSwiRjJJo6zSyLhkBweasWgHffU8FS4K\nnpldGbAA1CSPrfh0ofclE7IAy0VFS6hZnIAANECZDY9DFaG2wlhiXPx0xtech13EbMZJSt0OT0SR\nBRgeMRzTbMAec6DWN+vwiQFWB6AR4+N+bx/eOVDAXgX6codDpNdvcEbn+lqgZ9aVGcb3GwrP7B8w\nLBQWWD9fcMYjEdP/rEVyfpvvs9NhzH1jPdcSqtU5ABrlhAjspUwUgchC5ncO2/kcwgj0VHnv+aAw\nhfkowX3dnXq/JPlBjYaW79NCHHEyU5oWZC80CA8wYyrU9DXNJrOkOq1KBpj+n6jodRfoqllBdqNM\n943hV1kQebe5fL3KvJey81lL9H7c0VGJILEMq95J+6Yw7H4xL1Qz521bTaPiZz5PCJiItka55Zrb\ndul3arSClyDbKh0IZSMY3bvqNMvtx54vUPBeJXpfOI9gi9GgdONxUFZsKv5eUDzs9VSHJE/XD0qN\noxFz9ydTFeFy80W+Uwn3Yvv93DCU+Pp+NuPtZ/ByTK+Xs0+MjaChJE8QSjlFXjn8URafabfVw6ZG\nA7bbYVZDKFDi5wu+t1pN4wKaObi2kmO+wWMU+pkEr7TmZafDDJGQzWw6HfZO5wvYrXO8k7GWA6gA\nqB9pqljGS/2gB9+sA/MFTL8HnD8Hsz8EpQ6+14GvJzAHx6A0g+t1GPMWxsXePqiTv1tqNNgL9x5u\nOGQjOJ7Abp+D6fc0cckEbXvTbof7D8lSQTefg6cZ0mvX1SiTNTl+nnFtV3iWAja9HrNeFnOwVnkx\nXhPro3DsIWJ+BQy53OLi6H4+1zgIWaOOicoDB9gRoZ6xC7z/2Os2HT4uGw5zynJFcXiBUOCyoox2\nHINqVCxEoekuMUlC2cCSs1Vi+mi8o93OGWLRcUDRoGs8IVoobD8U8iaj37vRKE+8uwO7VtXenhi7\n/XMF+dHKzLNSK7A6RB72NjgyUIGbRXheWab2rDh7HAWPsc+le46w0JM0m/9EmrEFvLoKK1/6vAxh\nRZ/ZblDKFCXBLGxBnVc4KU5GUQjH2jy1PTqnCYlCIsVqVwbch/MFYChPKAqYq5svQIYY8x6N4TWJ\nZ6Ra4wCWZJGF853t76s0L3U6uf4LeEER1T0AoF4X2dXrsNvnGFJJWFjMXb4IM57Bt+pwdcseuweS\nV6/Bb67BjKfAeMIB1MWCF5NZCNyGICQN+siu3+TklEEfEmSnVouZModMPyzIAtdrWrTFBHYPyARp\nh2GelVsLRSa8V5VDgRA0I7ckl6uKiOWMzZPiVieMtVONVOn78lisigEUJDVO+N1JrXw+fbZSDM90\nOjzeIkZO1XPI73N4yPD4D3Ne6sOqGufxqBALip+jEOcr9es3P8ZOYA80eCcxxqT6LFvMDIizJAsa\nK/ICStssajQYgglbKNNsKtYIoGDUFdeLouc2JHMswUJhm2vX15gq5lmuQGV4axEUgmgFD1goAE4q\nEfGxXo89zJDlKh5WeTewlPUqAawo6s7/KI2HoN1BtTp7DgHKSc5v82kiuEe9k3oNptnIk32iPkJY\nJNx4rPKsdmOdE3gsJ5DY1VX+bavF7IygT0P1uiZAsdiRA3U6vCDOZswACceZlQFDId0O7OYGYAyf\nb9BnDzvQ6UQMTjjGduscv8Mg5CbeI9Xz5Daq11Q5k/o97rMkAS5dAM6f48821uATywJd/Q6o0wJa\nTeDCNsw8RTZoYXJPB65usejXkXYS+O110HwBfzRSBUh/POKdhzVckWllwOyXRg324vmgvOhAjTrM\n5fvCO/OgThum1wX1uipe5mdz2AcvIdnaZF66sIaCU8KByjY7PbWaJvj4+UJzJDRLNNSDFb0Y02Jt\nHTce52JkEpORhT52nEIr7zbld+UMazlXPI45WG0LUIaOx14vT6qbTHiOxV6wCMbFHngY/2pD5nMk\nF+7Jby84dXZlpWAvhOsuNM/YK9cynMGxEMKDG3HsRWvGEnHcRtQ453PehUTxOp9lDDeWF6YyScLe\nmal+23nsA7PuP4DvOfWYsmZJgaMbqsUUON1niI6rx++iSkURJ/c0zQjxvGPNCdvvM9QRBKyWdC5C\nxRgEzF942AWNiIibHXsaVXz1JUzvrCyeMIEL2GV03qXnjMvXVeygJNpvVwZM1ysVWeCtZ6LbcrkH\nO+gz9S4IWSXnNjgDdGMdfrGAH08YmpjN4A6PWIq3UUf6xlXY1QGwOgCORnB7BzCDHvPFZWGqJSy7\nG7xz2RVIFiC1WowZJwn8eMxGL9QopWYDvpYAuwfA5hp8qw5zyEFRbwneWpjjCRZbfZjUwSUGi14N\nMEDzrTHMbAFvDOj6rVAsOjgeWQZaXYG7ucPXazZY2Gt9DVjMWea31YS7fpOFvtZWQp/X4BcLZLd2\nlc0jImUCdfnxpBDwlnFtms1iMp3sTBcpbJ8XCmq1kO3tn6rVUmB0FAZIBXOt7AmHdyKlFyuLpJTP\nKTuwkocuulG66yhfO8wzO+jnczCL8HYg1/0v7xTivAwAZtA/sZC63kfpHpbOGe3QZdzFmkdyDNVr\nLNkbza1veAWlP+3Wpq5fCzWuN3Aem5SvrjrISoOlCi5RQxdVKwFw+kCiXDAoPtftWiwOpZmbAcsu\n3J/IFQR6H/82UQzbO88JOSHLLoaECvcoz9JuFwpj3Mk96+/LZfGqtpwhWaSy4EG/DxgOBEsw2w76\nGqiUBUi2mXZlgGx4zEYpQCxxlSeh9GlxDglyh0CrPx7lMRBjckpewGzJWoUeOBU80aISFJgzsdib\n/C1FQADAT6eMnYdrYBHw/VYT/mjEtMj77wEMkLVqIOeRtRKYuYNPCMlwBjNNkQ6aSHaOWfVxNme+\ne8qQEl3cBq7dBA36nDI+6AOZYww+SYDz5+DfusELwD1bcF/9Guz2FvzxMbKDQyQX7uFCJsecCSrO\ngEBTtttRDnl2cBhS7FM1zHGxCX2X62v8+SItjN94rMSLuQiOCbyzNH5uMxaT7S1mxpR49PG4OwnG\nOQut9kQIqZykGPUNcHZYhw++DQ0by/DP0u9P+O0t/xZ27E0gy7CHmxj7429eKCahBq7Qk7hinsqN\nehnfjamPVOQ2S6DQz2ZFkSHkhlCEdrTF28ryNlMYMIHdoj+JIBmRC4jPIZNCmCt6/0TM2Q66GBJH\nkDJdsjVUmpgtBjRZ6tQXMk/LwZkCNFNK3S5H+oWRIMcLvGL7/Yg55PL0fkmwCP/23hekGkxIu/dp\nymnvgYUjcqRwnr1zsJaJQEKUJIEzHwx0q8n45HCo2isU4Ad9/4sFwxiiKdJqBj55jQttdDsh0F1T\nOiXVa4qHyviwK4McQ29y5ieyDL7dhO+HYF29xhj3eAx/7xbMbIGsG4JedQszdxhv15EczeGtwWyr\ni+RwCtdpwrebcOdW2fsfjUFbG8D1HbjRhHcDAPflaAyzuQ7q90CjIBzWasK/dQNmdZWlDTKXxzHm\nnNFsup0A3XGiElyQWF4d6IKr5QnDHClQVcO7EyjKtJp5oLbdLkAXBVVQ8ZYDXMLQXjefG1RND5Tf\nu4NDTrePWG+xtHJhLpZhRoEmwtyIYcP8N1Qc745rLsj4i0XOqth1S+J8Fc9xEg27cEhJNK9wvqje\nQblt0j244p7AFXoSCZbv5bT2tvPYT0xQitptt2+3aaclI1V6AqVVVcSklAsssgWVJzxlRb9dYKni\n2l/XOaIWP3vlbuA2wWa9bOTtxxWPZDG0vZ7K5lIt4XqgB4fMOpGgp1T2kSSrKXPLkSR8bKvFuGS/\nj2xnRwOKAED9rqb9iz4KJQnSm3ycn0w4bhE0XNIbt3Iv1FiGb7KM9dTTlNkuQb+HDSqn9VO7BW8N\nfLsBc+sAvtNCttaFmS5w8PgKnCXYuUdt5LDoGjT2U9QP55hsN9F9eQ+zCwM0v3KT7zXNNWs0GzHs\n3Px4jGx3D/ahB0DTOQdH24GHPhrrM9jVgfaP6fdZziBJkF69xvDV8EgNrnDl/Sh44SuDXGysPC5K\n3q2ymKIC0OUEscpxcieJcRWfKbRY0jMHlserxHuWpHhv40WfSS74lHYm+xPtzpUUQSWZ7kiO43Y7\nhG96KCaueXoWlsiJjI44++4Ojd/SuSsy76qOlUIV/MHydm8J9qhqJ9zr0nOeNoHuJEv2tFsRXZc7\n2JrqoK96Dipq3DCeHPBRw5oo3nkW+EoSZLv7MAMWzvLjieqFC3eeZVIzrjwUNNRzLH4OGIILCojU\navK/xXAEETnJyLSrA5YLMMT6Lrv7MGsrcL0O6MYusLkKeI90pY29R9uYnCOkTxyjXk9B/34FWROo\nHwIbfzxBbecYO09voDZy6Lw5Re36AS8Gr1+HJsqkKQdM+x3myh8Mmfd+PGZD3usyZJNYwBikV99S\nXFZYMTAUJALGaiAkC5J6PYaUBv3w21rO/c8yFRijWqKFy/UdRtj18gv++uaSvH/dBZ9h7Mbj7o7g\nkTPc50lQzlLOCoqGvFCkPqprUNa2L9NBb5vZHh8bFtN4oblTw/62rKBEQQSn3Pnxg8ZR5cJvpfpI\nSWOi0OKAUMUqLXh3QVNFTlW12AQOdcFzKA3ccqGCsi6zBoDrNbhpBf3LWq3EE5+/sghCaXcR94Xp\ndFhq9gTPDcgHpsQBtI9jwxynkEf4quLlhnjnbyySC+eRvnlV8WxqNGBXV+B90CsfdECZBwWNFPfV\nN2E6IaC5tQEaT4E0RXblftjXb8Dt7ml5N+p1YBt1hiamM1Zm3NllFkfGyn9mdQVepIk7HebuH7Ge\nuWk2QYM+19ht1kDzFOn2CmaPbaG+N8d8tY7FoytIG4SVL48wOd/E7lMZXvuLv6j99dH31PDn2gs8\n8NEfhUtayJotNHc8vCXY8RzjR84hOV6AxhPQ5XvhLYEyH+h0wdCtMSvDdxmG8vuHnPXa7YEWKZKL\nF+D2D2A21uCu3eC+CzKwdpUxc3t+i4XKgoSw2Vhj2K7RYO582Bn5foezYcMCKRi3FD6R92u3ziG7\neSu/xyj+FBcbB3KIZsloxzCqjNlGQ2uHLs2/QCCQALjMFR3/VZ5wVZP5HUkFxK1SMqDinKqyGuZh\nrNckORpxYh2AglGXc5aNepVwnbTs4LAgA0GGgMXSYae2t5/Hbtb906exYmTgVGmDlJrWKTzDVrFq\n61c412kDSTo/BLHKq3NBIyKGQqqYJ+JRnpHPW3ktYV5Ez3bWKkknttiTknuhZSU6uR9K2BNUJcBa\nnbMCGw0uGzefszHb2Qd1O1jcu46d97ZxdD9w4eMpWm8cwRyPGR7pdeH3DwAyoNUBvDXAjR1Aii2s\n9DhQeSuXnXWvvwl7bpM920GXDYM1jF2PxmzorOUdQ7elz+dreWD28N19pA1C/dhh0TFwFjh8GPjA\nd76Mf3H/7y910d9849vxidcvw73eQXOHsPZSitnAYNElrL00Rf1ruzh+fBv1owVcYtB8dQe+1YCv\nJ6BrO8DGKuAc6GjMipCHx8hu3tL4A9XrGmfw3TZoPIXb3WPjd4GpqjQOAXzH9Vip08bksQtY9BJk\ndcLRJYP1zy3QefkG/PGIF8HVVcA71oYvQxFCRojyD9SROCk3pAKqEJaJstkiUsMSueC03W1VPkX8\n3Qleut3chA9Fw6uOvd38Lz/LmY47q27TafcefvvND8WYNf80vlcpcJKgEWtFV3aSeJPTWVF4R+iD\nUmszDByJ/HvvWRY1iDhx4G9RjYWVDeQJi8vSiy+/tOhvu7oajN8i54VLOTs5PC6rBTA2HEnjUi3U\n9dw/LODIpl6Dm804CBkxDxRiieiL4kGIoeZA8+TUii9VC4bGH0Jfi/HXRKCQFETtFtx6H2bviLHs\nkMqe3rMGM17ANywodTDDMResCF42ra/Ct5ucqj+bB+ndkGnZZmhjsdpC/a0DZqIMuqAjNhLZ9ipo\ntgDd2AN6HaRbAyQ3h3CDNlwjgRkvQN5jvtbCbDXBom2QNYDWrsPwkoUL+9vjd6X4b7/tY/jI2lf0\nuf94PsWfqTfx2LN/DbNX+9j6lMfxBQM4oHvNgZxH68YctZtHGD28hta1MaZbLaQtg8Zeisa1IdLV\nNuzxDL6ewF7bY+Pc7wKJZZGwnT249zwIbwjJzSFweMyQzuqARcfevKWxBTc8YobQQ/fCDCe82PVb\nMOM5cC3s1kJdA9XDmc0Yvw81guNxXJamFgnfOHB+23FSwa460XONFhRl/ZwgwlUe1/HvTzqnxCDK\nC1mlTPUprQzdnIa/K9MrlDq8k/bNb9ij4GlVYFI+U155Gcu+XWDjdnQsyXyMKIhnyXwtt/JAL9dO\nLfC4w3Wl0ktMCdQM2IjfDmNUyrYqay/2qG8bDJXdBnBmA2431jVwKdrgp22LlzI+222YIHELx2n4\ntEhD9aE2sNpnvvgRe9eq/hcWmQJlcmO9SJczFl/6J9+CKx/54pkxzRPbCU7E8V99Gtd+cIFXv+//\nxPdf+gC+44VD/NrPfw+8AVZ/5VkATOVbPLANevaPT/TWygFLwVaXvOLgPNjNTWBjBe7VNxhiaDa4\nuEakmii0T7O5juzqdcXVTb/HhbaPR0DmGOYyBm7/QKl+seGUGqhuOl1ybKoMrHr0AtGUMzxXBroj\nKOxgt84pJ7+qJdtbWvBZsedoNxhTPUW+ealOwUnqi9K/Jxlx4dBXPe/Xswsu06nDvVGSsEx0tGso\n27F3jmE3y6L60m7bqadsfe70hSg7oJ8LVZWDJqJBU9lKXv2dXL9sMLngcl5dPvY+4u9j6V/ghMDt\nCcHN220Z7ziIVXWOqNjFUtJJ4F9XJYPY9bVikC8qii2BVQQd9/g6Z322sz6f3dwEZjOGnN7/HvhP\nfY4/X13F/L2XkfzBH9/2HKbTgTm3AT88OjHxpezYxPCbv3wB9MZ11V5RPR9rYddW4ed5haDYSCTn\nt+H7XWRffm05J6RiTNwuMa5ALAh5AScGXk/qi1L1Jni/9K4BFPH8yD5UJgKdRTraGMQSxoXnOm28\nfCPYbFU/KTuDQdbAL+bvAEkBBG+hJHkJYDlQE31e4Jee0qGnRcLLHG8g92L1XspB0XIRjfiepFBH\nhCWaTmupSHVZ8S4+N4Ccdy0SqdF9xNeWsm/lHUslXhntQsrnPK1VypNGrYr7m39ZlPYtGPVGA2Z1\nFajVg3yuLZwrnujyviRjUIqZmLVV+OkMyfntIFswz2uxeg/7rst39nwntOzWLcyeeoiP/9TnQE8+\nhuTyJda1+f0/ZI/r8Xefeg43GsHv7i+xUbQ/kgT24j05PAeoUJfPMuCVN9jLazRUOld2sem168h2\n9/R88XhIr11H9sVXOIEJKPKwTxKzCu9NE/BMDs+ZSD1TCo6f2IdlaQu5Riw7HWSYqxY702rmDpUY\n9VAcpXDP8WIu14x58sZq4W4phqO/lXs/bS6chO8XHurOjLoJNW4LlxmNvu7Y2NvOsKeY48Wjj+ML\n9c/j5vx1AMgleqPkCP0/UaGEFwDEWhN8IL9UMahl4yMdKqt/lcaKVIWHscXMO+SGN/4N60ws8mtK\nCvRi2btXkaooUUgkVUGkXqlIn4o2jf4mDGAtjFFqBdng6DrlBUbuP9bgKT8XEBZeKirQ5SqXUVX5\nOKGr0+FtaKTbIdXipVA0ZiHQCQSaal5tpmAAI6VP0+sheeB+AED65lXYC9uMF29v8O8CtGE6HWSv\nvMY6Q1KL9v77io/41OPL/XFCy5oGsx94Pz/yCy/i+p+9B4d/7YO5Ut/nv4Dkwj2qY164jjxTHPSu\n1QsLnU9TZG++BZDJx1C9puPBjUb6HHaDn1VppMFRWFrQJdkuSfKCHaKmGTkXdnN9yVHS8dZqaaJP\n5TXA8IpCjlEyIEto5Al3nLVs85KEIsNcUdVM+0u0ocThCouC7XaKDpJhDXZdGIOhlYLY8XFc+WnA\nSXlRUfYlLaaoxYtwQUvmNo1rDZeSBGOYNpp3O409vGw/i5ftZ5Hizgz82xKKeab/n1fLgobU/UJF\nnxO2j8hC9l2ATSQJBkBeHCAYySqsXrMwDRUqwgiX2Id0dUm84Wy+qAJQhNWXm+plCDtGNDiClKcM\n7EIlpXTBWZ0B9okDn+XtMgANgPosy6vOVGwPz8KvlYGXXLgH6dW38u2yYMQluEmOV4bMGSrfiGaJ\naZ7lsywAACAASURBVHJBbTeZav8l917khKUk0YBftr0Kevk1ftYQfEsu3AM/6AK7B8hu3ERy70VO\n4ZdCCCEpquqZBat33/YEzB/8EX/20AOgzCF99aun9g+MxfCH34/dP0O4/FPPwn3n+2A+/hnYxx5B\n9uIX9Z37Ry7Df+bF089VavbKQ8DOAbCYa6AyufciXFgAzfEYmM05MSlNlyQ0YpaVwDTptethV+z0\nHajeUHAMyropVewtUfOMs6xZMtjpeLNBbljHbJiLpst68VgsOIDrHeC8MqoUg490aeLfxwydAhlA\nJBNCMXB5FpWNsJbJCrKY9IL+kMTUykFQIoa2RuPc8avXQe1WThMt1z89hTl0aj7KKfDNOwKKUaNe\n8hr9Yq5bKF1FIw9Rj5OiGkErA8hfLpzLt5/GqrEviPAkXBBCBhFcnuiknkKQA8h2dpmZkS7yeo8A\nRKEybqJF7sZj1UORcwFAdjwqiDSJ9+AXPFnddJpvx6NFxAQPXga4QDhaieaU7eVZAozyPtKrb/F9\nBY9dA3+uGOCWjFw5t2CusZej6fzBG/WzmRbecOMxF46o17j/FyydSw2GadzhEPbqDvzD98O/+37e\nvj/xKFc5msy4PmmjgfRrb/Jn/S6rQq6vIbn3YmFBBQB68jGmXgJq1AEg+/KrcP38nu3Wucr+setr\nIAdc/ikOnNZefAPJ9hau/lw+vdx4zEY9jOnk4gXYxx5Z8gZFYTM5v43k8iX4N94Cddt50DDg2DSb\nw+zsw7dYyZKaDWUWJRfu4XsKVabEE7abG0ivXdd3JFWMvPOalGQG/dyohmpNlWJwzqvOj3iabjLl\nsWptoFCyoY7njPbtwaEGZ/1kguzgsFCft3BcCcLTugnOBe12o4s+iGvFmvvvBYLukJ53OuNgc6ge\n5p1Htr+fZ1BHO8F4zmS7exCVR1mwVCpZWD0IpIJANdX3WqJaL8FU3kdVyPLxImqYVfDwWdrbz7Cf\ngMMtaTRIJ8g20djCQiDY9xJuJVF+oKDNIq1cLEPxyQh6iLFuShLVIckOh/ngKOF7pt1mGlkYIKBQ\nLDgYdy3v5nIZ0JhKBkCLLchzi4QoJFEixmPLcYeT+tQUiwjcrlGSsFcWDcKqd1bod9kGTyaFyWM3\n1jX5ya6vqWdpWi02OqIXvtoHanWVvXVHR2w8ru/CXt3B5Pu/BYeP9HH03i1gMoVf6QHveQjJpXuR\nvv41+OMR3OYK74bWerCPPsyBKSlk/cKLmN6/mvdJ/BwJF4lItrcAAMnlS6D3PQb/rU+wNw3g5g+9\nC6ufvMb9+MSj+Mcv/BrS6zdw8b9heqddX4P7zvfxCcMYSt+8yhmuT+fwj10ZsDf9xKNwwyOkr72e\nF6545r0KxYEIkwfWWDIYADWb8NNZYQHOdvfgF3MOloYdZ/rm1cLYlmdSJyQYMX32E6iFPl1wkpf0\nnxZCdzquRUc/hjaAMF+CVos6IHGR9RKMKiUjYwMnHrebL+DTRa5ZI7sV7+G+8lW4/f0CPCsJd+6I\ndzflnb6fz3NHY5HmUGVw6PR+RzkdMo5fZDu7MN0u2x5X4XlHQfC4aWH6EMymJOFnC47s19PellBM\nrBVz5lT801qJyaKGtir1vWI7dNZ7KPBTS2wDkcalJCl60eXrSpJG4A2Lcp7pdECtZr79k6LCFVTD\nJU2NKgpo9JwxpaywDY7oeIW06gqlv9NStDUtvCoJ5KQcgdAU/gF7udn1G5pJaB5/NyjLsDjXRe3F\nN/Dm33gE28+OULt2wIHJ4ZB3Sf0e/M6ewlz01OPwn/480u95EsnvvcDP+vCD8Fevw41G+NEvvYZf\nfrgYaI2ZMKeNB/vwgxg9so7mb3yy8vu4xWyQ5PIlpK+9fnIhCPB7eulnL+Fd/3KBZH8Cms6AoxHL\nHe8dLEOSZ2RgnXqcsK+qJJo31iuve5bG1YdmpyfSRRTXqu9OpPJWwLNx4fPbJiNGLCOfptV0xxMS\nBoFozN8uw/0s7yfYrufmv/VNDsWUbl08uoLqW/kn5eBG+Tjv85qk4W/Fr0XVT4KmZFgBLgRidIsa\nri/BMC3xRqTbpuzGTV2NbShgIAUp3GhUUOSz62us/JgkeeHlTgdSsg3e8/aaCMn99zFneWdXz6+Y\nYuaWPJxCcAiA1B+VezWdDlRVzlgWlAqetEwiu74GauRB5rjKi25to0FZKJ0mDAQpYybvo1Scm4Oa\nrCBoz3EAsBzQBJHCEgg7MLPKsIn/wivIvvgqarcYDlj5Sor5oI5XfvQe0OoA9rFH4A4Okb72OnDv\nedAD9/Gk+/TnYTfWkfzeC+yNX76E7Etf0ef6Z9/77fysW+c0oJrduqUQjhwnqofJxQt8/KMPI/vS\nV9C8MYHd3GRP/due4O9CoQqAPfNbP/YMcOkCknsvYvbh9/M9Eml9z+TSvfyMwRjMv//9GH7ofrz7\n73weyQtfhPv8F4CQmeoODjXNPm4KJWqHiwxEXRUYKUkA7zTAHO96Ta+XQ5UB5ihcI3N5ol0oDKMl\n7KKi5HbrXIGwIEadDJV2cGuMaa8MkJzfZmesBOPIDoDqedHqAm1T/pYmjJ55ngCoBTRKgUzpgxgS\nkhKL5UZEOVIA5OqniHar8X1UkBrOxHjx/utixtzWsBPRNhH9H0T0qeiz3ySi34/+2yWiJhHdT0Rf\niD7/B9FvniCiXyKiv09Ev0BE1To1vrRVCQaZqVamMBDUsK6uLm35ABQHocty4xNLgYqxIa7GI/CM\n6GVI4MfNc0ybKVLHujX23sOsDNgYKgaeIjm/DbMy4IBfwDslmUILK0twczpj+CFIoDJ+OYGbL5B+\n9Q34kJBUKHDd73JVoX5f2QduOs3pY4JNCnRErBkfe97wLnyWSwBTvQZkmXrxwjAAoIUwpGmlp1Dl\niVknK6G48Cicj6mfslOhWj0EuCahbupcdUHcdd7xJOe3YXo9pG9eRbazB3ftBmdTJglj7JubLIjV\nacN95XW43T10XjtC89YEl//NEHAeab8Jeve7GGJ48YvIXvoS9+0z7+XCHOFdvvojF8LY80juvw+T\nK9vswR8OOWsTwOzD78f/+tXnCv0qO4n0zauY/MUPIHvpS3zOVsLe/e4eDh5qMf6/taF99uov3gc7\nA/DKVzF71zm0n39Vr6+wyetf43ONx0guXkD9tz+F7m9/DmZrE+mTj/BtdNuw77pcYHXpexFIIfJK\nRVJX4kOm1YJI+FKrycZHCks0m/xuZLwFwxRfIzs40LmUHRyykFrkVLAT0YILsJDSlbMMyYXz8M4X\ncg6QcE3W7OAQ2a2dJRYcAGSHIW4zi7x9YzVQCiIk917UAu3K1nIZC8ytDAqsIXGQALBQnMh6gxfu\nMilBGv8uAdUShuciKKXA2gr1i73LqyZRkuSLa9Ti35UbmTvzwW8LxRDRXwEwA/Cz3vunwmc/7L3/\n1fDvBwD8Xe/9f01E9wP4Lu/9r5TOQQA+B+D7vPfXg8F/yXv/y+XrFTJP70ShMYY+TnueaJtEJsez\nYj4uXAi4BhhEKyR1OxogsisDrhK/ugK3f7C0NZfgzFKSFRHsxgaynR2UE4yAaMtWoWWxJIg2j5J8\noqQl/ew07YyIGVKGc8pZhNLihImcOldb9ijCFloKXIvnE9M6tQDH5iayW7cKRS9kl6PFD0qaNKbZ\nBPV6yG7d4snXaYEmM6Rfe5O96EYd2aADGIC+8FVkTzwET0Dt88yiufHDj2Ljf38W0x/8gEImth+C\nhg9dAk0XWJzroXZjiOxLX8G1v/MhrHwlRe9TbyK9+payXgCA3vcY7P4R0q++Afvow8AiRfblV7Ur\n5n/+KSx6Fu23pqBPfFbf0Zv/5jFc+ukQNH/5y0v9Itm6IiO8JG9RAdnQ6gDpq1/VerJwrjILewmq\ni1glptth4xngwPj3AgsJg6hKRrfMDgECC83n1ZIKsEUps1qaFBKRKlyFzOcyqymMN5Zvzgtm6P3I\n90GapNDPoehNXJFNM0SBfEcS8ijs5qbGHtyUFwFhyC2RJU6qNHXGFs/j57OPfmOhGO/9vwZwVPrs\nV6M/fxzA/xb9/YNE9BEi+p+J6NHw2QMAWt776+Hv/wDgw5UXjLi2Pl1oMFHS3rVuKcDGWSAU79Vb\nLvDBo6CgSgQAirGJypwwZjRpYZoLIlGzATgu2ybQkAuFENKrb3GgZX2tsNPwWQYypC9ftr2m0UB2\n65ZCITphNfIf6FahIIR4HD7LlKUABI9FE59qRSx0Pl/C97RfZLuYZQoPuOk0rwUrDIr1NeXP29XV\nglGXgJacR5qkR8tzZfv7qhYoOjFa6T1wh10w9pLcIs9WLgDuM6fFHNx0quqU/ugYNDxmjZT3PYb5\n5XNs3I7GoEUWPDuP/Xe3cPOvPors4BCbnx7Cbp1D682QjXn5krIn3Gdfhus1Yf79Z3Dju5gFc+Hf\n7cEbgu+0cPTDH4T5+Gfw5X/4Qb7+Z15Ets6eFk1m2H8qZ87YKw/hn//SL6Dzr58HfeKz2P3RZ9j4\nA7j4l19E9vKXsfP0Bvb+5jP8+4jzLYyVOOHHPvZI8f1HLdvfV1qmG4+V9SLnK/CzbQ7JAGA9oX4f\nfjFnLzwKDMr8okZO3ZWyg4UyjFjmtLvxuKADoyXoIo0jLaxdyg1x+we8C+j1eAcZ5jrLSeRG3bTb\nXB9XA+/NwvUZTw9KrQvOK1GnYmXA81yCwMGoW1HH7LRz6DPsVLPdPbUPkumtBXNKTY26vAOBb/VF\n5OQKu84wVGyv/mNii2cKnhLRdwH4efHYo8/7AH7Fe/+Xwt8dAPd7718koi0AzwF4H4ArAP6J9/6J\ncNz3AfgfvfffVr6WeOxlcZ2lexKFOODMXroYdtFkkfOYfr8gY1sZHKtI4Vdtj0gQKTm/rZQyEcQS\nTn1c+T0+r+KYgBZwVv2TSENG/rabbJCzGzeXglASJ6B6Tb0jSpKcaxx5EarfcQL3uaoPz/p3QXPn\nlMBXWXwMWN5B6M9kgWo182coyww0m3BPPAx7OIG3FkgMZufaqH300wCgTBlp9qEH1MOW+0wu3Yvs\nrRs5rvvIu5B98ZXCvdjNTXzhZx/AlZ+/humDm0g+9gJ2/9YzWP+lZ/Hlf/Q0Hvrbz8M88ShuPTnA\n4LW5BmkBjiOMHt1C58Xr8M0GYAj771tHfejQ/LefLOqjBH0Y8erjc6RffaPyXUn/xZo68jmApR3k\nkkJn2EXpIWHHqmUbo50hJ00ZhfvM1ibSr72luwogH9Pwnrnqga0i9Qtsv6/zo6A3E5KWbptnEfST\nCvr6/S7Hn+QzebaythCKY/ek3eupTWzDCTsYPedZtewrjvsT0Yo5xbD/BIBXvPf/9oTfPQfg7wJ4\nE8BHvfcPhs//EoC/LgtC3FrU8TU08slPBCLCPe4S7ms9WtSGiHUqwiCLV8mCQQSWDXuJibJ0/1Ui\nZPHLi9TqygwRajbgjo+R3HeRhZeIVCI129/Xa9vVVVWXLG+bRWGxQJNyeTBFaoZSvV5dRaakMVI5\nSCNhIpHWrdo+FoSmorZUV7LwALYAo2kx5TMMbk0EkXd62jsSrvajD4A+/wqo2+G+DglC7tvfh/pr\nN+HbTeDwCNmNm7jx4x+C+bO72PyhL7LXt7XJAUwAv/PWH+EHHvpWVdGM2VOzH3g/Gr/1qcLi/7X/\n/kO49+c+gfmffwr13/k07MMPIvsSKz8K2yX7rm+B/f0/hH34QcA5ZK+8Vujb9FsfR9a0qP82h7Lk\n+EJ3ttsw62vMzy8/f/D0CmOoJHhn19fgZ/PKYGBBAKys4ROcA44RLdMEqxb1gnBeqYB01Ts0q6v5\nYlJSPy2MrzLDrfQMfj4vOk6nQJoFh++ExfE05koszFfo9wpDv1S5LO7HCF772vRlXMVr5UthgRkm\nfvQnb9iJyAD4TQB/wYeTENF/BeAz3vvPEVENwGsAvhXAG7hTjN3kpbgKBqFCIQ3IB+aScFZVdprg\n9vIs8csLnSxp7m4yKVwvFv0yzSZXwQmBT/EelU6VZTCtlhqneJDa9TVk+4fLk0QyMONi2NHkiCP7\nAHtXLghBVXk2Ze3rcitQueIJFRU8rjqHDNTbSanqfVQINcXJY5WTqzxhqrKMq4zKBx7DzSe72P6/\n/gjT73gMrkYF+mHsEevPnngUh4/00ftXz8M+eD/8WzeKxu2px5H26nj1L9dgpoQHf/I5vPILH0Rt\nSLj0M8+qAQeAL/3TD+DhH6umO8qO7iQVUvHEb9fEeaBmU0vfxWPYNBv6WcEhKO2WYMyJ7+8speKo\nVucd1H+skmZoOq6qDKuQHm5Th0HvLXbMTLG0n0CLUuLy1BboylRLtAgGFFJdRhZOLTlZdZ8n9XPk\neH7DMXYi+k4APwLgPBH9NBG1wlc/BOA3fXFleBPATxPRTwH4pwD+B+/96+GYvw7g54joZwBYAP/s\nhAvqP4Uq56ZTDeaQLcnuhuZGnCoeZ24CUPkATYJYzAvYc0F4SSLbgGakUVKD7XbYq2g2OUATsRCy\n3T2doO6Y9Tu8pM97Lp4skfzY88h294pUy5BQJBmYph9lwS3mLNrk8yLYEkHPbt3ia0mwMjyH0hdP\nmZhLRjmizGWh5qieI9ILAaCZs7o1107MtWDkbyA33nGLE8jihA7FGcsUscpCBDyEk3svMq3OEPDc\nH2P743ugeg12lqH5G5/E/Pvfj/R3mUrpV/sY/AHroZj3XuFrXt9F71efY2/7ldcw+9AVjeVc++8+\nBBAhGc7w0N9+Hg/+5HOwVx7Cu37iOdz3OxNc+3+vIH3tdRUZe/jHPonRX3ma72t7iymcH3gP/DPv\nzTM/RyNmZ3zgPSx9AKZXHr9nWx+tSrRM4i4+Y/ZWdusWB/u9izSUkoDNh7kQ7fJkF8w6LUbHdfEi\nIWlNqJchkamKyeEX80IWdeHVlDSZqNHQcWl6Pc6yjcdOyF417bbemzo0cQZ4OJaSpBB3KjefpsqW\nsf2ujmfpB7+YF3YpJz2DqXMB+Wx4zPZoEsV4KpIgl+acoAJxv8TPHcepQv/ygtkq2KQ7aW/bBCWF\nVobHRc0VwffKRqnkzanELcCZjCUFvHIz7TYHTwPUA2sL+iZnTVKSSVJ44WGXUfYYpHCBiIORNboz\nURiGDHtfETPCbqxzqbg4OHNSko94KuWC27fxIuJ+WSq9Fz9L1XkEZlpfgxseFxkNFXKsleeogNL0\n3Z+iuU9PPQ576xC+XoNv1DHf6qD5yk3F1cWznv//3L15lG3XWR/42+ecO1Tdurfq1vwmvUHjsyxZ\ng2XriclmkME0NEMnDhCgGRYrEEhIIItAQhYLmiGdoSEESIObTjoQxg6TTWNwbCBuSbYsW/IkS7Kk\np6c31zzf4Zyz+49vf9/59j7nVtUT9FpP7LW09Krq3nP22WcP3/D7/b4vf0jCHpU1Ku+8DX/8wd/F\nO7/sXbCxQf6Jz+47TuvffA5T//lxvPDv3orbfpMQMNe/9xEcfe8lpC+/Qpb6yXks3dfCV333X+I9\nv/CFmPvVJz0CTHz2dj+WPiL8FE9NFqzcIGe0X/Pmtasz4BHItPezTzy4ipgWEtFKCqwO6WSSpCCK\n8cZtIu8ZZDwW5mGiCOmVq8U1g/Be2NcwXDmq3/SLItxbtRYEDJFbL0QZelVVNUqB6j3jMHWEZUw5\nhNpo4In+H2Mzfz0TlFCcWtn6BuGsuU4mqwF2On5dwfFxsTbF+nBhEKpsr15cViZyAPA2zpAdSqem\n0qSJfEtbN0HUhJT6PCtIEYpVGrVaNOmbVAcy7k4KAiGenSVyk2PBCYphfYPqZTJhhCd1HBFuttkU\nAgrfV/IVjQZl4B1Nmz+XLC4QFl3R51nCQEsawBKE0+ZW9EBkjODQF4yC2Nj0UArx1CTJyTJe1xFa\nWLtD7gEKOZlaUuCQeRzhx5FD/oL96KeQvvIq6bx86rOIBjkGp2bx6o8+guTkCWw8SBbx+DO00W98\n08PA6WO4/vcfKa5595149X+cx3/cnMdgviWbenL6pHxm5TvOefddfsBi+Y/uQG1hDzvHx9D/01P4\n+I/8ItKXX8G1f/AI7GCAq+cmkPSAJ95Uw/yH14s5s7WF5MwpZM++gLjbFXJSSLSJOx2SA56dLuaY\n0kqKu13fEuSvJgmSxQWZ16bRIM/GUeVZe4XryALw35tWa2y1qMA4jzdDfxWRUEh2qu8CHMgyYoAC\ndMgEwnuIYuJURDFt0Mzf4E1/rFlY0e7zGqps+30SCnTPLSi7RkOeibkXofKjtqqJlzEhB062uS1z\nLT1/wdtDxMAKPMxKQzCKRGuH9G3KKqr8HuSQyC1wg/b3TWuxA74FIdjZIHHKGfWwtmklsoIt2wMy\n3fuepiP+Fs9MC+koLHIBVL9kvlaId+WY9qiydCXLysUcq6j++rkPagdRy6WQddiiougBvw/B94+y\nrCuSWGF/b0ROQsqOBaiHeGYadjD0DYF778JwZhzJhz41Mlk8Ktb98k+fQ16zuPUHn8DmNz6Mzn95\nwnuW6N675CCI3nQW+TPP4pUfP4fTv7tWsvqHX/ogau9/ym2sdWLWZrn0Nb77TsLnv/yKbD6cU+Em\nHuCoXIdLmjJEkVUO+ZkrJSmcZa/5FAIVDuPb+80tNS/YcxQCU5YhmpoUYppWOIwaDSp+weUV4ceh\nw+SjSZKCrLa+IffTHJJ4doYMohHgAVMjKLK1trI6WfislcCKUd5P+Eo4B8fV2apkTIL38mF8AJv5\nyuvXYpfTttGQ+ClAVirHodlCN7U64Y+dKE/c7coJmDuLFkr3mb8jJ6UW6vI6ERWfA8QyQBQDcVEA\nQssc5BubZHmONYWaTSSmgUjFEpW/sGb4xWfrG2JpF3+0HtqBmyjbwUHhcnJltUCYV2gA8KGQ2ipR\nNHf9PS9uKd5JzcOsA8WhhTwjb2NqkmLp9Tqyq9eKODLfG4VF7mHUcz9ExFa6hM8C0aSo3S5ikYwz\ndgdItrziC0Ztbhcb5dQkWY/PvYz6x1+EHQ5w7W+/AfEdt+LSDz2CzW98uPjeJI379e99BC//NFnn\nyalbcPqHH8etP/gELv3TR2AjQtD8ySuUKH3f5adhrqwQ8gXAi3+HpA9O/ovHkX/is+i/8yGsf8s5\nUXBsPvUSKUbmOfKtbVI43NpC9rYH6Fk+/Rxh061FsriA6N67YOJI8hWM606OH4NRmGgZylodMBGy\n1XWSr2i1CGK4sYnkxHF6F7VaUVfAecM2TWVTZytXDhCOUys6f9Ru+4xwptp74ZFMrmv7fULBLK8I\nzryYDLYofqENtTHFwXBGj3wlTZFvbSG9eq2AzI41JaYetVrIVtermZ3WIhprUqm9fr9gaSu4ZjEp\n1PxnbyOKqbCLE7Hjd7Cf4ciSBvFEi7wPdx+dw+Bcoaz/GzTAb0qL/ZH5vyPMzCr2I5MeSNmwBuMS\nGl4MTjWO19vBUMI6tt8v8L6dDqy1YIISW8pSGIPLuCnoYaG7kYgMgLYwvFNYwzKbroA2E5Ec+iWe\nmiR1yABTHCI4NDa41A6Ab5b6pX+trSCFDMrW1wsUhSsnZrOMGIqrazD1OuJjR4gUxO9KW2cu3kmJ\nswmxHE17gjROgJExUd003vy1tNDjK8WzXeMYfHz2dsAY/PH7fxtDm+FatofjyQT+7eoZ/ME//VL8\nxS//MgDgHUfvw9J3n8PcL5Fk79V/+AiO/ebnRAyOIZf9dz6Exh8/6d2L/xZ3uzBTHaQvv1IUXeB+\nzkzDHptHtLVHxayZgq8grJWIKA13HeHBjaxP2ukg29ryUVCM+DoMrjsce86rhNDDQ3jG3hrk+DTr\nL+3ulvaHG8Gd79vXir4A/vqNJ1r0716/hKrbr3H4sYo9K1Z8cJ2/MTVP933pVUpqf9UWvOyRVP/9\nko6HTEiGn6+iYouGuVKl82pOuv5U4ci98akKrxilbsmfd3DG/cIxDNEMK80f6lEPAZ3jdkOKngcs\npPjO22B2e0hfvQjz0D2IL68QK/badRL4+uQL1K+33AN85JMSHgGIzJQvrXh9Wf6jOzD7VaQJ877L\nT+MdR++Tv73vMmm53/cz3wOTAkf/6IKHOeeWnDklLFE+cJIzp2BrCXBtiRJxD94N+9SnD0VLHyUR\nAASbKuBbwS2SyNDQ2lGKnpLQU3BhkySkhWR9uV9WOT2w724eyiY9NQmYCFaxkKkjBV+kSolUF8UI\n19+omq2AO8C2Cwneg7gS4XXZUDmo3cge5Y2z+v/rfmMfNxN2GvOAMZi1i5iv3eK5OFGjIdoOo16E\n6GxwxSHnVmp0iDf5XeUithDyfp+8AJ25D2NgIwpExxOtfTG9UuXFsfs0ScIkCaySRvAqq2vXd5+J\nfMOHi+7+CMan/J3RO4qopK0+PWbaihQPyWmYeJ5NOD4slNRoeJZYcuJ45SZZvoD//JJ3GHGwmPvv\nhv34pyst+NufbODFbzuNo+++iLdOvoTvmryMc898PTpf8aL3Ob3B/x8XPoQv+t0fxG3/+An03/kQ\nbGxw4SuA07+fC/sVqLYMJU/g8jXmCMkT5N0JRC9fhj2+AHNpCXZ3txgbXgNsJATF1bUGT3Gjar0Z\nwM3PdChaP3ZvD6bZIK4GKyTaXHRXwr7rMQdGWKf8HZUXqERLeR0zXs7J87pZXiN49/HcHMXVA0NF\nxsgBLA7SVeJnYnaslpLet79MpHIyBSKgVzH2VWtvyV7GMkjnfxXXsWu3X78be6jH/tfSXOIPgDfh\nxPodYdUWWixB9fCKl1BlnbBAUIkQFWo5j7o/4FnR+zJIDzEGh0p6BRtFVWOrTsgZWYZoYgKm2YQZ\nbyJ95VWi5V+9jqg9AUx1SoSfA7u7D837r9riO2+D6fWRzU/BPvlJAIXue/rFD8JGQO39TyE5dQvy\nqQnkT38GALD23tvxkft/BwBKljr/rBmjn/vP9+PWX8xhHn/Gu3/29gcQ//nHS+xE6d9+bN7X0KqY\npFUbOstQJMeO0sY3Nw1zbYUSu9ZSnmusCdsfUC6McfNJjGx51YM96nuyzEUV1FDPpRvxkJkJEtdn\nuQAAIABJREFUHc3P+knuCgjjjXiLh6krMPrL+wAMsE+C+xDtb0RpPACFnnNAapHEZVUixCVL+T8R\nC3MWi4gCRa6aivucTYfy+6pkhQd7rOgLACIvBI0qtQxF26UonWUlkcfSuQCEug0A0cREaUJL7VVA\nLPiqcaisnMSTnf/TJQX5EPEo6JFXiJjcYV9T2+bkXcRuwuabm4IXt2ydDIaw15aLBHJAcPFaFEuy\nVVtmHrGEnzkgRQHl94PIlcwDzScubWe2dzG4ZRbxCi0yTo4CwOUvbCBKLVny9RrspyjscvH/vhsf\nuf93Shs6h1+4XXi0GPvbvvnj3qbOEMn4gx+TTf36t1OiNDl+jKCowaYe336G/n6kIC4hEIsKm5CA\nHPyXFQ75u+R1+WMluZ5ulxQsV9cRrW3C9nrIrl6D3d0ji3wwhEmIgZmvb8Du7iK9clVi4ELeCwpz\nlzZLN7f5WTVfBFFcbMQh9wIQwbJ8d5c2dT0X+PN6/d5A2HBUGDJkTZf2JSdEyN4h91O317qpv5b2\nurTYS0I9h6hEIt95jaEKjnubJCmJKFVZXlUUeh0z81qFwBjw2nIJrLEi1lKtDkSmXEx61JiFlnxI\n/HLsX06u6WSuEEscxBB5jmhuBvnV61544KD3VdLSAPZ3f8Pwi9JN8UJuKtwSioHp9uJ/uQ/TfzqG\nmY+uwdZixNfXkC2v4IWfuR+3/aMnSpu53uwBYPjomyXsEnc6GN5/q8j8AhRWwnCI9Oo17H7tW9H+\n0EvIlpYQ33ba05ABILH2keMUblqHFZrSnw8KkSPLYFotmCSGbbdgtnaAeg3pK6+KHkukkt82Tclo\nGQyByAhZJxTXA4p3z0VYrFOWzDY3AWPoPV++6nuNDrrIIVj5boVuTdUY8Bqw/b4n0vdaq7PpQiFM\nsDpMP/b7+8j17cLPj++99/UdY++Yaftw7R1/PQnRg9pB4QjVQjEjThBVJlYqNi4v9hm8UI6pm7Em\naT47ZmHe64mmhdaeCUuKeZjdfeLuVTo5Vc+rERkc96wMh4yIZ1f265CNY7Xe/Ua54wnVz/QSdwfF\natXn0J2UjTT94gexeaqO6V8ldMvyd53D7C8/7n1n732n8Zf3/B7O/cDfQ+c3qOgGb/Lh5g4A3f93\nGovNTTz7IM2PUx8Zw2O/fT+O/9ka8meeLffpDXcg+8zznojYKDRQPEVFLfLtHZKCVknAUlJxRKtE\nnAWxe0+hcWEeplZDevGStxmXEpYBR4FVHEPdJo1w4/uL1ZuQVDD/HKJyOOYdjbl6r6xdX5VHcXkD\nfXh5+QGH9hJjaL/QTfi8f4WcVpg3CMdOt78RoRiNl/ZcxsDl1rrr7PZojDMAmSCMIZfvumx8dQdy\n372Dc9FsUQqM4WxRu11Zkkw302h4GjPxZOGiseWR7+76G5LDF+c7O4R7zTL5Xjw95fdXb8r1IBwB\nkN5Nt+vp5ADFOMZdpdXtEs4Aiv5EceWmHqmQj0nKyo+MXQ7dVqBgjIYhhXxnhxa8vp9bOJr5CYAg\nlyurPm59g3RL4k5H5oR58G5E994l1xh+6YMknnX5mmD2608+j7kP0/O+7/LTmP3lxzF89M2Iu13E\nHzyKqN1G/9cWcfoPvwtjS0NvQ3/HsfslLBN3u3jhF0gn5rlfvwuffaQIL738j+7E0X/9GNbfQM8e\n33kbhViimHISn3ke6Rc/SJs6h+lWC4aqbtn6BhWsdnVYPSIPh0NCtVClxw8AhvHrrRaJvlUcArbf\nJws+SYj8w7pHnAyt2NREsx8uhME1DNz8YIx2vrMja5A84qFs6pGbH3ZAXm62suo/2+4u7JBkNfJe\nD5GDQFY1hisX9ynWJxfa8EJHo6DEuokgmULS1YoC8noPGlUZiTd1jz0dlI+sWjuHaTelxf7W+FGx\nFgQvrTLMJqkRMoNx5Sphwp8bpVdRUrkbBXHiUx4o0AbWliq/AAoZMkLaVldyGamyOMotvAEIlu7L\njbTKsWK0jpYerUrqhUQUYGTSSxQ4FZyz3Jnie2wVVsk0Ay6GPDsDJDHRvN90Fvknn5fP6IS2/bz7\nsH77GBobOcZ/78NIFhdgsxx7D5xEv5tgOG7EWud25R8/giP/9jH5+eo/fAS7Ryxe+JZfwlc++OV4\n71N/gueHO7ij1kJmc7zz2ANY+c5zmHn342j8xSIGj65h82vvR/s3ybpf+9Zz6D67DXzkk3JNttIB\neJa6fv7Dtv0+P4oBLSxI/S6qOBgVY3+QrK1cTs8hrfV+I9auYpqHGHsABaosc4qhYRWlUZdVyrFR\nuw0Mh571LveGy0Ps9RBPTxWcCIWY2w8BBChvVBXL9kK7aqz5HsyPuVF1x5tzYz8sKuYwMaobaJWC\nVyPGh18Ka3+zBSvx3G7XJU/LG5J3z/BQcGGWKnewUm9a9XWUK3qY56nqk/fVig3ghseckRCu6EK2\nsork+DHkyyswY2OeTj0AbwHsKwGhEB2A00w5MgcMU9hWU1Atumn4ZFW8/X2Xn8aXvevbkGz2kD/z\nrId8ufr9j2DxZx/D+jefw9Jbctz+fR8GAOz8T2/FxB98vByGu+8NyJ/+jBCSSr/vdID5GQkLMbZ9\n6e+dw5E/eFliwgBtjGa8iXx5tVqH341z3G5XbzCBNHO2viFhRf6u3qi8XJbiO+hDRG/Wh9noSweQ\n022JJtv748I5HwCU5sihkFOOSTvK8GEZY49whPK+4EE7Ndb/BtA3lfff5xle9zj2TjRtH659xaF0\nknX8rvxH3yIvJSY1LIsTIYF2g3cihwQm9iZcuOJGrCu2/sHKdsGzlhTgVH90YlRCU0nN0zzxGKAh\nmWgEI9bvoLOOOK7ZaFAcV8dUNZs2gLbZNC2SZIz/DRJdVZNYa93wRj2ympKC0MVzcxjedRz1C8te\n5SNuTGqJ774TthZjONUkSOLD9yJ++Spy9w7Dw+PCjz2CW36ssNi15rr3rPffDfP8ebz6fW8CANS2\ngM3bctz5488hW1uThJ1O3PXf+RBaH38Vtt0Cri97UNnz/8s51NcNjr9/HebKMpBlBxNhAnguXA3Q\nfHt7JFwQgP+OHNdA6oQmNUSTbeQbW75CZ8Vcj7tdqZUaWrIyFxwunsNzEpq8Qc+kUo3zEBDREsN2\nBIHKJAnixQXY7W1ig09MEBv4EIeWvgavXVOvSw1frV3vjQHXkw2qV3F7/W/sZto+3HynkF2qGk+c\n/USpwuQiK8555emMQTzZKb9cply7+BswGgYFlK0GTwyo0RBEinZftfXL1j9qtUIfutn0qvdELScr\nPMI6CBdHqfpSkNACyhuZjO1+1nFolezjNZXo3hXiTTbLhLwRWlNCr9/PEjogVMUsz2RxgTaUiZYv\nuXr2dtgLlwsLrNmEOX0CF756Dif+/TPYe9sbMJiI8dj/9h+8BOn5nzyHU//scTz/i2/BHd/jF9Vg\n9urFH34En/6+X8Q7jt5HEL1bjiL/lFOKPHEc2fwk/uSPfp3+rhY0exPJ6ZMYHOuifnEVtlGH6fVh\nt3f8hPYhK1J5Q6aSlqM2q/2sRyGaVRRoCT+X9/qCugmlfXkNjJRyNhFg88L72C+UqcAJleUnk1pl\nyMnEMaKpyaKyVEhymp2BqdWQLS37VZ74Eq7qGHIrZfkAiCpkFcKr6LTyIA6IDjwxfN/rO3maYoDP\n9B7Dp9OPYMlelqLHQIELpY2wRnhcTi4obC8LF0XjVIxW9FzGml5ygxM2jO2WJAdvPHX30mzuFWIG\nnMXuklFyuMQkQxtNtAp53twWCd1azb3oIpmjk8OCYecDoF4XoX1Tr8nn4rk5Siop3Dsf0KbRENlf\nmIiKbOtNndm4weYddzpkUY3Y7BljzrBG6bc7ACknERQcCIqeQHtETjJWWJF5VnKReeOQvMab31jq\nWzw3QzLDir/Aizw5eQI2MmRpX71GVm9/APPg3fL9jXtmsP3oG0mu+PRJ5L0ePvv3p3HLuz+Llb91\nL2qbKdq/9YRs6vHZ23HlBx7B/EdzvPyb9+LW31EHWbuNl3/mHM5/s3sXOfDo138rAGD9nW+AGbik\nqzGw7XGsvKmDd97zxUiOH8MvfPT3kBw7CgBIX72I9EseFIx2ev4CsLpBcsQrq4gX5hEvzCOamhTJ\nWpE7ruIwwK0FXivWFjDC1pj3HZZuRq0m19XJPT4USgVa2u0Ct+3WItdJFW/T3Z9x6Gy5c6Fo773O\nTNNcsVYMlmhszLuGSRLhJmipbJ374ufl+9EfYscfIaG9bHmlEFFjDSq4dba7Rzj9NJXEZihsl+/s\nUdwfQNQad4VyJugg69PBxuvdE97LFaNd3ZfbEq7gWfsUPpM9iRSH8xS43bQWO+ugAKASbVpCgOPZ\ngyEiV5pOhLp6fTqFp6cK5IoSD2JLnSzaXkmsCoCcnp7oUL1OlrcjCfFG69HeHdZaW5r8cpliH7Va\nMMcWkT3/otMzz8mFtRbJ8WNIL10m9IuzALS4mLbqonablP4GQ5hji8Ts5CrwFTIEYdPhE1KhHIoL\nHk1MAHkOLpsWz80h39yU0FE02Ua2uu6FeXQBYvZOrLX0nnZ3yTJz7rp8T4WYACDqdkmSlkMsrDTo\nwgQyzsePIb14iQ7R7hSFN8JQmTrMOBRjHrwbeOY57wBKjh8DsgzplavIP/8+RB96GvaRN8E8RsSi\nw7j48cI88vUNbHzd/QKDDPsQNZtYedf9GLYNFp7YRHxlFfn6Bnqff5bqpC7MA9OT6B/poPn8VSBN\ncf7bbsXiR/poPHMe/TedQjoeY+z/+Vg1I9e5/GIwTLRgQ6SV7nO3C0QGdme3oNdPTJD0tMN8x7Mz\nRDRzyUSG3nol+JwnyfULwpKH3DdY65Vb9Oagzk/xZ28/A3vpKt1XCYGFyXo7TBF3Jnyv28XsQ69Y\ny1xwWEwS/oMBsdPzHHm/j3i6S30NJATiqUlam9s7dKg6AcLk6KLIVFcxy02zIetYe+N6z8BwSCqp\n7nn4MM42N/9mhGIqk6ecOGEp31AtMajJGbqYWl9FEAIqrBESeAD4io2BIh5/T2tWj+ozu4GsBcOk\nDNQSZKtrtKnzRNNUeqd5E020YFotn6CjqdMA4qkpqtHqmG/GGOT9vixWkeR1iTk5fDjWqhBAPH4A\nyosptP4Z7RC604r4opUVdfEOfh+mXqeDNcTY8wHLxKepSao8H0f+Qq6Qf0gWF8jaVYnHsHGfo/Fx\nmNMnkH36OVloXAA7vXhJPr/1rofR/q0nsPkND2Pi1R6iDz2NK79/FvaxLo7+r0Us/uIPP4LjP/2Y\nd69v+Oxl/MZdR+X6wy99EGPPXcOV/+EEPvajv4S3fepr0Hj0PHa/9q0Y/70P48oPPIL6usXE1RRj\nl3ZgXr1azJVjRwkJ9Mqr5I2cv+DP/YS008PQlkY6kRdW1Dv1EqAVRDlkGaJuF2B4pZoLo0AHJkko\nD7W+QRY4v6ckKdQvR8SUWdspmuwAw5Rw+jyf+DtV607/LvLrnMpHWi3Sv9nZPTDhqnVlBJnnDjRj\nzIEhoir1TQndViHYVBiYlWez7R18OP/T138FJQC04FUYxjj9Y1NLvJdprZW/ASikCJxFzWEEGUB3\nDW9AswyRrtTj7s+a0FGrJWGcSryr27Slr87tpDqlhRuYD4bynWx7B/nmNiVPGw3ZgNg9jbtdwrCn\nhNUNN/V4akqeB9aSjjQXunalx6KxMedlKFxx323KrtqSHQ5gmo3CPecWGR//22zSxur0QOT5WSN7\nZ9fH6zKb0RhSL3T6I9naGh1A6n0AdIBofH88NYloYgLJ4oJsPqJXvr6BeHYGyZFFRPfeheSW44jP\n3o749jNUfcYYCr0cmyWLPGjc/2xlFSvfeQ69L7ybNvUji7j25YSVr59fgm2NYefrCZM+fPTNaP8W\nWePd97+I6ENPY+U7z+HI1zwrmzq72cf/m4o9u/Ybdx1F9Ma7kF66jOT0SdTe/xTypWUsvv8a3nH0\nPjQePY/3XX4am9+6ieztD+DIv3kMe/MGG6drSCcbyFbXEN9xK6I3ncXe2SNA7mrQphni288g7nSQ\nHD9GVnaaSmhLu/dcmceY8mZnd3YKrfwgT8JGT7a0RPBTF4bkA95DjLgqWwCokMb6BhDFDnM/oMOf\ntcZdXQWpjaBa1Bp382WD7hkVvIlseVk03nWLu93ieoDwKPhd6Hmbrax6WlEh1lzCVlEkCpYmjqif\nuas366C4lZu6e54oFAU0hqIKgWfN70n075XRRiGb8i32azefxR7N2Lfii/f9zCjFRd1GCu5UIEU4\nSXrYjDdfZ79q6Z4UrlJw9P4/oooQn+TJkUWSKOV4aJNKi3kqii6hEy/Mw25sjk44s2BTBdpIU64r\nn6MCVeOp6oXjso8kAbB/eIO9pKg1XiAoKiSKWXIXuaUiCVtbiE6dEMhgsriA4elFrNwzjo237SF+\ncQzp6R7u+ucruProMcy++yNAnhEx6NIVGvuH7wWe+ISMSf7ms57WS3znbcie+5z3bPGdZ5A9+8JI\nSOPw0TcDucXYC9dpQxtrFpK9zmNg4bDnf+UhzHw4wUd//Jfwr1Zvxa/+7jtw/IN7SMcSjD97Fekr\nr8I8dA+ijV2kc20k1zeBpRWYiQkgTT3dfl3DV37nrE+2oj0Mt7a6GUnm0El2MKT/c7iFY/JcUclE\niGe6SK8vC/5aWJW5RTzZIcODQzoBOgZASaqDLd18d7dAq4VzkENDjlWqkVL7AQR4LYUKpYdpXEpy\nFGLLq+AVwk4ZbVaBxtkPcRONj+PxnT96nYdiomn7VhShmErSj7NY860tQlXMzoo8p5Z95Q2JYY0A\nJGaHPC8m9Q2oB4Ykg32/q7LxAKpF9Nn1cnFE2BzRZEe0VhjjLqEUl8D0nkPnD0Z2PJANYKVIx9iz\nwxSm2aAC4opxCpv7+PgA51yFGtp34gbqe4cZey9+z0WYleJl/uBdiPZS2I+XNVWiZhO46wz2jrQw\n/sIynvveBdz2/U94n+HYuvT1wbuxfF8H83/4OWRLS7CPvAnbJ8bQ/q0nEJ+9HYOFtig4jmqXf+8N\nOP4NLyFamKOQicsLMGaeD6nLP/gITvzyp4CxJs5/121IdoHtW3LEPQMbAbf/+gZsLYbZG6J3bAJj\njz+PbHMTW+96GJPPbcI++6K8G43Nl0pj9ZpouCDLJMZtkkSkd+NOpyhUg8Io4twKQ10555Wtr5OX\n7DZRj7zn4tuawu9PhGrJC00srCL5ee+UC9UrraJorEmenEKHjdqwS/OzAtkliC1XVlD/vgQ5ZkId\nX1flDDSUtOreOkTMhwCHX6TAtzH4cP7+1/nG/leV7a0gMYRNLBG3sSHLRuqSjJwc2npUWuQAyps+\nT/aqeCQqkrvhIx0C9jdSMEw/j8agAzcMk5N76YOGJ+GI4htcnSr0EngT8jwVV+mKF0cYNxYrLMup\noPLCLK5+wTSO/Mkl2CRG9uJ5pG9/ADYxqH/wE7LxG2NgrUW8OI+Xvu2EYNO1WNfGNz2MyV/3N3wA\nwMP3Iq/FqF9YRvrKq/iJl5/Ej55+yBMCe8fR+0q1VnWL2m2sffXdmP7wNZjeANliF/HSBkEYdylh\nuPnmY+h/5yriX5tBfSvH2NVdZM0EJrNYfeM4pj7Xh8kt6p+7ht6dR7B8TwPTzw3R+G/PID62CNuo\nA9dXgHqNilx0OsBYE3ZjE4giScLJe1EJc73ZyIEZcCj2a2Ls6OTqDYiRyXoJvIwbwY0XF1P8ikNY\n4p5nrzWVKrSeTLNxYNGTsHm5Khz+mcI8x+s/eRpN27dGjx5uUgQv4jBMSLFUOVM9ogBwSdyKGaFh\nUvaQCnEeCoUPBYfVZY0LXf4L8ENEpWK+utBw0KeQdu3db7/xChdxeEhq68QlsJIji8iWlkuhpVHt\nIFVJkR1wKoNVYxu1Wrjy7W/C5Mspmu/5CJ7/3x/CG37qKiEN2iTxay6RQJsOTyQnjuPaO05g5t2P\nyzuJprteghQoLyogSA5XicRxuMghZPhd5V90v6fsCBDTlbXgmfUZjY9j46vvRX/SYOG/kqcQtVow\ntxyF2dpFNjeFS18yiVt+6wJss44Xv2UBzWWDzqsZxi/vAU98okgGuxBLcnQR+fJKiVvB8zlqjXvz\n30MSuWS+DrmVxqVCPE4XSDloPXq8DhcK3G8OVd0/nmj5VZCC5lVcCtfuiHCtJvhVXXffylA6kf9a\nDqYR7fUvAmYxUrul9LNKvAEQmN2+l+fwzHDgEyzkwoUMLycvGGet7wW4uGCIBtB9VAI+XJgZKDSo\nCdZIyU15hiwvijn3CvdYYIXtdmEZM3QqMlKIGHACTQ5Nou/njVdFAk1DD/n6nFSNmk3P8s+WlgR1\nIvjhcBLrceVb6IVV8a74nVDiOi/9PWq3kT5wB3pfsIXrDyR4+JkhXv6qX4GdGEf60nnkzzwL+9mX\nkG9seZs6QPjwmU8VsgPm5DHka2WRrXBckjOnYAdD9N/5EHa/7q3Y+6oHy9/hpPi1657nNBwvizgN\nbplF/Op12uCvXUdy7Cg2v/IeNJeHmP+1TxTolCPzyJ57iVz7QYoT/+kFII4wOD6Fn3rXr+OZH/pF\nbB+JcemLJqgoyC1HhHUq7y4qL/F8bw/xZEe8QB4P/W7SK1cpga/yKPsWd3bjZp1eu/AUXItaLeGV\n0C9i8WbtsJDJYAFADiUlJ44XsOFwvuYZzf1mw7sPXYDWYnr1WlGDIZifgghSuummVi+SzrY8/wD4\noZTxcX8em2K8NWhBt0phr1BkLPz5BtvNt7FXNWNKL6WSLbdP8QH6QHmjMUkCE5kiuVivF8QCuMnM\n5Jeg6UQSx6r1S9PQMpPUpA/8svUEMbW6oE60ZRi1217eILQw8l6PYu57ew5bq5QOR0kyRApFFIzZ\nKAsr54PFETs8y0QteG8ij/K6+MDUsXUFp+Trac9FWpYha0Q48fMJ/ue/9Wd4z4W7cdsHvw3Xz00j\n/ZIHaa4MBiMtpXjLHYozU8iefeFQSbP0pfPIt7bQXOqh/RcvIB2LkL3tgUrEjW42TTH2l2Wdmui/\nfxzp1WuiT5NeuozJP/ss6ms9Qijx9y9eQTI/S1jy5TXYrS3Y9Q1ceLSBX371CwEAya7FsX/5GDbv\nP4Jo4JiXcUyY8bV14V3o0FzEiX2oA2l93UfQsFSHM3K0IRUWS9HkJxNHgsrRLec6prkvR2Hi2DOi\nota49Cvv9ZG+ehHx3GzZg+KCLIMhoeeYqBSgrYrBdMVswgIjzWagW2MKdVE9v9X6F+SdQ8kJkCE4\nDEoCX+4ZPfatfDjYiv+KkZSbbmNPzRDP2qfwrH0KS9ZB/EJLEuVTL2oSZtcbSOyz0QSDLInX3BYD\nH1MlFxMZH0aFYnKLpaFqrPJ9We0tmuwUG02eIQx/Ra0W4vlZKlCgYJPIMyKMuFYSBVPPFrfbVIxA\nIWvCZxXJ4laxMHXRa+/aYaUjN/HEQ1HPoPsl8dHQKuH3wQeDegZmywLFgc39D9ESdjBA8/wqPveN\nNfzFFxzFUw/+Nj739v8T/+AHfwfDdlyCbXrPFcWwFy4jnp1B/xYf3hqHcFdANovkyCLWv+Uc1u9s\nwbQn0P3IVcR//jE/hGOML7/K4+Fiz/ysAFmIyalbivtMTcJMTcI8fwFGQT4RRQTbXFsj6dxmA/le\nD/V1g/edfQ9+6Np9ePInfwl77zuNlTfEMKsbJG18ZJ7Idw7OqhuH/UQwjeWTJyYkLELrIC/GrN+X\n9aG9VGFe7u4S3jyKvWpXlSxYXkuuibXu3lnIaAWA3OUuNIKGy+nlu7vEXA3XRqsl406S2753D3BI\nyk/c28FAEvV6zOKJYj3xdzxAAf9eAwv0YZRndB3lHdgs8xjcnqRykmDJXqa9EB+7YebpTbexJ7aG\ns/FbcNY8iIXWbQAqBgm+ZakXP2XV64ha48WkZbq1cxE5rKAhUUJEUBuLtsYBgAWOqLr7XnFN13SR\nApumkjTM1jYULjb2NlO2hPLNLelLtr7hJV1YIVLfK56a9CZl3u8j6k6JdSHJqCgWzDuTkPLt7SIZ\nqSyFqEUYcIrtE1KHxy52MgnUcZIEYC3z0OovacY4vLJolLh3ygvLOOZvOD7ybtz1k+PHEM1MwwxT\nTH0ywcVvJ2mAB378u/Ev/6+/jYnPFMlLxpR7BR9a4zDjY7B7PSQfeMpbZPnpo/RMt59BvDCP5NhR\nKaSSHZ3Bwne8jKnf/CjS8xeQvkSY8+Gjby4Wo7WeB5YsLsj7Su+/HfHddyI6QtIHdjAgmWE3ntn6\nBpGMskygkIhimFYx5tnyCkEUbzmG2g7wxp/7Hvz2E2/BO47eh3unL2PqcznsVBt2dw9mmCK69SRg\ncyTHjhIngMvljY/DTNDcjjuFTpJxkhrRGK0DUyfPics6miRB7uCOPG7x4oLMxWyNSEgaUOBBihkj\n7wpQhy2emqz2qGv1YiMNxMO08ZFtbsvcBZyHsFcYGZ43wp9xJCH+DADBytssk70i390lud65uZLO\numk0ECspDsH4B4l/7r/2Dkwt8Q0ZhcxBHGPOHMVZ8yDO4gEkKNdZ2K/dfMlTRsXsJ/ijGaFMQT6E\nQtxhZDVH6bgf9D1OUPIBwYcN90srFwLwEqIaChhWVDnU8xlV9CKKhH49SlJUwwb3H4z9NevDFrVa\nMOPjEn/XIZuwApX/RV9ONdT65go3ptEo8hML89j4ojO48pUDtD7dRLIDLP7HZ/zQSgX6J7r3LkRb\ne6LSaGp1xAtzlKhdWx8JvYynJkvs3+hNZ6kSkkM9xccWkZ6/UDBtH7pHimXLdZj5q8r3ef2tStbx\n3HLzPv+8e7F8zxj60wAMYFLg5K88B9NsAvUa7M4uJWTbbRK42toCanWP4Rm1Woi6U7CbW7IJcVlD\nMzZG3sgIJVApTTcYFIn/UCYglMhlDHcVhyFQQPQkCwL2rCeHfQDj06YpeV1ZhnxrW3glJfnrEVBg\n/ls8N0NIo0NW5/L6ESZsmVHa7SJbd/kdE0kiu4Tkcc/4+k+eAsLmGpUIzbe2hKHFL5YZ7KqYAAAg\nAElEQVSpvZpBpgWDYCoIOMb4LpcuruH+zsw7U6uLcBhbtrJxRLFMVt4YOCadOYEjtlStY4JKTNHF\n5YrYtf9KODbvQdVcfBGAF4/Oez1XWcZhi92hwfoW8cy04JdNHIvbXcW88+LwSoDMTxQZiYnzhMyW\nlvxEq3aB84zCWmFiKBAAs1lOAkwONifPlaZITt1Cib6NTdS2M9zxs32ceO8Kjr7nVZha4rv/ebkM\noNkbyKYu1leWId+H3JWcPIFsfQNXvuqk321X3s7cfxfskKxwkyQCe7RPflJCLvYcSfry3/KdHSoe\n7UJAUbtd9DUYH5ZzNfUaomYDtU++hOnP9jH3TIq9kwM0V90Y7+ySxT/VIcLa3h7SS1eAWh25K00X\nT02S1V5LkF29hnyvR4XImd27sgq7TYXZ40DsTeLEjFm3lnDaaSrzJ9/bK2LQzUaRXHRcDTZ+xFJ2\nHitzM2DzYn7bvISKYmIT/TBajphZ2Nm16wVKyUSIZ2foYNB7gT74NTgBFIbJri/J2JRvWLwrydNx\nH/TflOEFYyR/AcCFein05R2EUVxZEe0w7eaz2AOCktdCASCtH+2asFJNJMVmPSuYIYKHgEZW3Tus\nn8h9QZaNtoKVctzIy4+PI5qZJoJJFNQKdbDIkEwVd7u04fX7PtQsIFyURM6AglTiJEU9AoYbW5Ea\n7ve9MdSVkDjkw1ZaSVNGoYyEMevGkEv/6XFkMkxVYY/kxHEAQHb1OqLpKZhaTYp02DSVzcnU6jBx\nNNr6dpZX3O3CdCdh1zb2Ffoy99/tkZ9Yljd7+wOIPxgQlQLrL779DOzVpYMr1IfWeoU1yu/lhZ97\nGHf+yCdhbjkKW4th4xj2459GcmQRdlAk36M33oVoZw/59WWYCVIazZaXKTQXR7D9AaKZLuzqOklz\nJAlgcwnP7FuRiTdyRpYcRg/dwRpDSe5DeZDhuDrIIc+z/XgEdJP98fijYMslTkhQuHqkprtinoew\nysq9Zx+v+LUwT286i91AWcJh0+wwgS0qLQgnHWuSGkQnwtrSpg6gMk4XtVrkvrZaZOmqGCxsTpYv\na0urpBxvgrxBch9hDF3DWpikJvF5uZ+T/eXsevrqRYrbRf7E5xi1xBvdQcG6KwAAtfFqzRX6YObV\nkQUKNA2HswSHnqZe8ojhbnoi5jsuTt5peyEmqcnqoHPacrf9PgwjHlwyK3Q5uaxYPDPty6zyOE+M\nIV9dow1/dw/ZEm1Y2fo6kBfSqHY48HIuurG3FXc6lMgbDIvwDgtVufcX33kb8i+4H/H6tkjq5p9/\nH5pPvQTz4N20qSuUU7wwj3h6yvNqshde2n9TH0UWCwADz/+Ht5Ah02rhzh/+BKL2BExvgPwTn4V1\nFaLSK1eB6Skkp0/SxvvKJeTXl4lVurFJhxmjXdxBmC+t0OadZTSfekW4LtvcpBCUntOu5VtbiCY7\nBcLLjWHUbMrc1++W34vt96XmKf8tRNHodaeltHntxHNz3maqN3XOrXhIrXab9oQARKCvz0StUXuP\neNTKsAQCZJu6J7HIXUnNnh8p4JyZ1/KsNFflT4fgyZT6e8Pf+P+5WcDbIAGnFa6QBTa35Yy7w4NH\n7Tad4BUoh6oTsSRdu7UlG46mUcezhFqRJJCS+NXwJ0HZuAMm29pyJ/TQvdBiyPPBUBibMiF12MPB\nyPKdHdKfbja8Yt2SxOp2YdRC0paTTcva64A/ueNJ0rbWErPsyemC1Z4oEQgjnO/ukts/HAhSQSrS\nB5trvr1Tck+TU7eQa66gnGxxSpjHhQTsyy7ckiRUm9IVWY6nu4imJolEpq/vnkkf3vnODrLlFRqX\nvZ4XM89WVouDKE2B1Q1E//3jpMl96TLi28/gpa9rYufzbkf0ylXsfc1baK62ipBOtryCaHFeQncH\n4pGVSmnYWArj/G/dizu++0maA/U6CdbFMfLry0iOLCJut+Wwyl54CXZtnSRgXcghao27fM+EqH/C\n9Y/hlfneHkkLMA0+9Yss06EXke767AxMrY704iW6Lmu4A+QFOoOKWxSs1XiiJcCBeGqqtKHpdefJ\nX7sDIVtedhemIhkyXxqNIgzmwpAACnXT4LBkgTmGW2brG6W9h2P5+d6eP7cqQiRV4R3C6qs5oA5y\nBnMAkH0LKNY9UD0vDtMO3NiNMYvGmHcbY55Uv/sxY8yfq/++TP3tnxhjfsIY8++NMV+tfn+fMeZX\njDE/Yoz5WWNMdfltvbBAizvf3ZUQg7WWYH1iqbtTmNEgDvExKh5WlR03jQby7R1Sb9MfTxLSSgck\nIciblw6v5L2exOY0koStez3R8+1tBSnLYAekO84TMltZlWfnuDJAk932+pI4MrU6WdMudyAWOPzJ\nIMieyHh/M7VErCub5QUxJHHSwg7nHE1NFgghJ7wEQBA3AAhnza9P9V364A4rO0xpE+LP9vtIz1+Q\n/ABduCiYIVC4IdHUTbuNfGePLL6ag3bWarRwW2PkMbhEs/TF9VETY0yjATM+VqowFUI8s6Uligtf\nuw7z0D0we31EQ4OJpy7A9geYeMFZa+xBuXeYnr9AB8rivFzf8/4q2qiwUb67i1Pv+kQxj+o1pBcv\nwXYo+ZmvrYuuCIdNsvUNH0nixj9b36Cw1TCF3dqi+TUo5JqzzU0kRxYp3hvFyNY3kK1v0H1dUjPf\n2kK2uu4ZAdnKamGw5H64I2q3Jd8E8LwxQsrL1tY85JKMfYCuoTmvjL25OSDP3Lqke+ui60BhfDFQ\nAYB7fvo9E9g03JLHjBvn+2KlWgmgFFqpIh0JGkavSw31VJ6Kvp5e94fVsArbYSz2zwfwBwA808Na\n+zb1358BgDHmrQDebq39UQDfD+DfGGMmDZmTvwbgR621PwUgA/Cto3tVEIKiqclioPOMBHh6vWKA\n8sLVByCxYA1xippNCYmAk4a1ulilEj92VWOYEBW6iNHYmCRck4V5JKdPFiy7HlH8891dWkihDGm7\nDUQxEmfd8qYTT5IuOyeZ2OXnfsRzc8UEUUga3vTiqSnRN49npmnTahUMP4Fv8UGpLDSGr2FIOYPY\njTWRtGqImk2yyvd64lXIAcvlvqKYoGC6MkyYlHbWjd58+D2Hlakk4an1Pno92kCWlmjDHGuKSJV1\nolb5y68WCWy9kbh3ITC7nASZWEqYmx0OpOgDQLFxNiri204jWiPRqdO/vwskCcWmawRBtXu9suxr\nrV5AF1Ek9w/bomYT8Z0E940X5gv8eJoSwejiVdjJCZh6Hcn8rNJYj5GcOYXk2NGCG7CzS17v+LhI\nUZuJliBMOMGeHFkEkgSm2RAvLhofJzEwB/fT4cx4apKKUkxNUihMSfkKpHBrC6ZeR9ztCtlOtIAA\nrxqXDQ6FuNPxORIMlXVqlsUfijWaHD9GxpciPQHKgh8Oi4pbeqzdGMu6cetVG1b0Yo33Pfpd5PFX\nYIx4PTr8kysvouog4O/qfoz67EHtUMlTY8zbAPxra+2b3c8/BmAIoA8gBvDz1tpdY8xPABhYa3/C\nfe4PAbwbwKcB/Km19lb3+68D8HettV8X3ksqKA0GpUSF6wxE8B406bPrSzTZ05RizYHEK4ACp65P\n4xqVvpPqQRiRMGLI4YgEUaWOS8Xf9O847m3qde9ZOfYrKny6Cg/DzDSpyMmmVjIt3QTTNRVH6WNw\nkpU1aKJmQ6x35DnyvZ5frcqRr1iTRhJCTl8mnqdNt0DFpKU+6gR4NN1Fdm2peK9Tk3Sg6AIqUezJ\n+fLvZKPpdulvgQRzlcRwSV/HfVfCR6pv4tHdfRui5Q3YZh1LX7iIvXmDhSf7SD7wMRnnw0BjD92M\nQXzrKWSfe7mQi93rCWwQWQY0GkVownlU+c4OklO3wG5tI1vbEM/RKz7iEvQAYCY7sBubFFJywINs\nbY2YtWmKbG0dyC0VTN/YhC444UEgnQCYVDxKh2I06XcQtVqIOm2vCIqGEuo5yt+LZ2dhGXHmtITy\n7W3EM9PI2RPheXEQTFfBikU3yWlHmSShkJqS2qW6yOul5Gs8M02fdRLIABkVJqnR2g6KfJT2Bscj\nMfWaL0TomgZK3Cjc8caPAmq/A+C8tXbHGPM9AH4ewHcAmAfwrPrcpvvdEoCtit+X2hB9PNH7Yxp4\nlfA7htM4bs4AgDepsutLEg6h36UCq9JJlbzXc4mziDLz9bqbPKogdhSLZcWkg3x3l3Q1dvaQra0h\n//z7UPvES0UVmUbDcz+jRgPZYFAsdGNggUJq1ESAyxHYnR1VrIOeNTxUTLMhKJxSYeiDNhD9nYDZ\nJ+SkyLhFmMKYSDZoITgZknvl4gJkiQxpvBVqh60tRvNk165D8Mkqfq+FqhBFJA20u+sRl0y9TvF4\nV0AlardhxscIura9LdaQMCF7hXiYGRuD7W150qeo1RC3xv3wnM29zT08sKU03O4e4JBW0TCD3dwC\n+g1MXE7RugI0nn4ZttGgsIh+n25cwoLrB6I3VONNHVC5ICe+ZgcDsqJriRgdptmQ+qF2a5uSpQq1\nkW9uwYw1JeGdD4B4egomipCnKYyS9U0WF5BdvSYbky+mlZQE9LjSV7Y+gGlPIHcVkngNa0YyQz3Z\ny8h3dpBvFFwPOygE6lj11KuyFBWFtHkszXAo5ClZQ3zoaMQLwzXdAaDDNVoYTzZVN++rhL30fNKh\nRLlmDu8Q473A1OpUXpLzAcrAuGhfwiW8TP3csxQnscDQ3Bjz9DVt7NZaLXz9AQD/xP37OgDtk3bc\n70b9vtRqaOBc66tos7HFiS9hC9AiNJFBNFG8RP1CBTPe92uYyianMO2eoI9UDI+8DZatj6jVAj70\nNNDpiPVuBwMKNbiDxg4GRM92Fc8FAZA7ca/B0FUzd/H+Wk2IIVxjEXALeGWVQjwOhcM61YIKimJK\niLnFeKDSJCsohjBFHhOOdfKhYUyJ4KTp5LyZa91oj3HHMEv3/iK9ucYOoxv0N+/1kMzOwG5uwpiI\nFsreHhVqUO9Rx14BIJpoId3aIjIO1AFZS6oV/FTF+VFeDBeMSOZnEeeTyD79HOKZaey++RTGL2xi\n+aFpRPefRmN5D/ZSsfGI92Jt6X0cdlMHIJu6tjy5zyKTu0OIJLu3J0lrgBLVbFECEE8wW1n12MTZ\n8gqFaSbI6IkmO8U78gStaB7HszNkxfO64TyL/p3eGAMrlzHvZnxMks1CJlpcEPguUHikdhiQkRyS\nK57uUl8dfFJgrAEEUQvweV5bvU7Vkfp9Qa7IAdQaB0Ip7QrNqiroov5dvrMjoci8RyHLbHVdSjJq\nmHDUbOJ47wyO44yoa9IFyWK/kfaaUDHGmH+lfrwdwIvu3+8FcM59pgbgLIC/BPASgD1jzKL73Oe5\nz1a3PBcrtSAj5MjW1rykClOGgbKlC1Cikr7rNiCOVSkxI5+g5P7tqpxwswOHW3eLJFMbsImJIi6U\n+V6v2CSsFcuQJ7F1pA52vTxiiLL2sqUld80xKWEnB5bKOWQbmyjpuLgW0qU5gSrXGahJqjUuXDxa\n4vLuICmhBWxOB+xYk6yQsTEPncMSDRyP12qappaMxD2nFy/JZwS2qvoIwOtP1GqRxGyrVdJrCfst\niU5lAe4HRzRJDfnSiiQZzfg4Wp+4hM27plDbtYj7OWwtRnZ6sYhp3wg/4jAtCCewHAPPITscSMGT\nfHdXErVmfLxI/rvku/e8cSz1OC3DPp0XxAd0PDtDYTG+zvIKkCQFUi3Ih8QOpbJf0i/f2qLaqUoD\nJmo2i/fO89VpH8XTU/4F3CYvBxCTFFdWJenrNTVvNLnP9vvIrl1Htrld5Ju4j+55rcshMHgAgA9r\nVGuErj/pXSfudCiMx/DI5RWw8qZ4YU6Hhj0FAH6Y6oDEe1U7DCrmiwB8M4Ajxph/bowZA5AaY37O\nGPPPAHwTgO8BAGvtEwA+aIz5KQD/DsAPWGvXLc2SvwvgJ40x/wIUl/9Po+5JWO1y1/SA5js7RWws\ngFNx0kcUFflhHcxKrqGyz4CC4znoE6v38SktkzXPxHIWfGsU+7hsbtbVaY0iSgb1+s4Ccc/HDLMq\nDKsxpIHBn6tqo+LrUBu9u5ep10XCNEzkseAVbxCIIj+sEMiw8nXN2BhtDO7gYRkFAEiOHaXkW3eS\nNiO2FCc7lfhf2agdC1PCQXDojuA9a6uI/+/hmxkdwSE9ZtOOSmIGYxzPTAsTOT97CnGng+GJGWSL\nXaRjBitvNNibr6M320SyXLChE6eh8tfdBALY6yHv9X1xNEXDz1zVI6QpJfxd80hBjQaF4UTmgd57\ntrRCv0tTxCeOAnPT4PKDcbdLY7K9UyDVXGMRPtvr+zj0UEeI12usxjqKPGMlfK/Z8kpR4xegfMHJ\nEzQmetMzpnQImlq9SGAqSQrvsK/4jtZnssPUWwueFAH/jpOsARqP1wYbUXqd87+ZLxCKkglH4ACp\nlKp2EzJPi5qnI5lvIYtsVLJEfc7UyO1iCNvIkAUnSg8RC/3rENL3rrEP++xGknKj6pSObMF9R4Um\n4k6HLJsKaQatZ5OcOYX82hJtzGNjpMuhatR6LFm+BCexFGMvZPnGnY7UwOQK9hrzHhYqudGmNYji\nqUmKrfcHMI06hY6ShPIiwxTm5DGYNapOZMebwDJtGEyZ368PN8x6RvX7T44fIxx+RVI41EMJwQOc\nnGYWaNzpUCJ2aYms7s1tKWLBScC426XvZ5kXpvP6yUxQV0AEgFeoxhtvLnmo1oBJ/NJz4Vh6iXAV\nwqisv1vR5HrhmojKtZD188jHgkIwAIqqXyNvGkv4yMP3V82T4DP83j+MD2AzX3n9Mk91SAD1An7I\nmib6M/TBQtMk7k56v48mJgrokM2L+OTeng93Uphs6YYK84xihHkbcgVGPmq3C8ilS0SyBcqWC4d/\n4tkZCZV40EH3/MgyUpJTrqT8zfVB42Z9PL1iylZYq2GhgqhTpEN0aKOU2K2AVEbtNuzOLnD6BJKj\nR2gjDgqP8+YQT00WxBZOXCkUjB0O6NqmCCHZNKVNfXy8SMICMDGJhJUKIjebEk7wx12xD1mQa2tL\nxiJb36D4b71GIbSFaWTXl4G5GeD0CWCY4vpXnMbgzAKyF16ifIuL5UpVoBFNNtezt4/8TNh4jEWp\ntFYvNnXlgYl3ubUFExes2LzXQzTZIUgjQJ5ev0+Ws+OHsNGD2AlfbW4i7kwg6nbR/4qH5BnN2GjS\njCQOt7b9OsPNQtNcfs/oHRbAc5ZypMiFHDuX69tClpnlp71YfhR7ksj+IDoejMKki7yvzWmezM7Q\n/Zj/UEu88dWFYPK9PeS9voS7RjY+0AJOg5Y4pnvVS4dTAa64MQP8prPYJ+NZ+xb79lKB3ZKVM+Jk\n48bJzcrkhoI4lSxuYxDPz4m1oZskHZ0wGFddL91bexqBvoQH5VJ0/FJSpuYX9RWFv1YLZqwp3oRe\nuH5n/YLZ0Zij98ex28CahCBx+tPJsaMeC3O/psfBNBvAMCWGbRwD959F9MIFghwqWCIX4TbjY7D9\nQfG3KEbcpbgsJ8uYxAITCQQxHCPvvTp4ZqgMqJ8/hJ6VHypG+rb7kHzgKT8k5BKOyckTsGsbBPuc\nngLSFMM3nkT9lRWy2g/QmzlM29cD5E2x2ZAwIAAf3qdafMetyF54iQq9r635SA8U4xeNjyPf2xMI\no8zJJEG8uID04iUpyBxNtDB8w0kkTz1HTNV2G6glyFbXxMu12ztUJFt7xLl12uOOZa3KKjL0EnlW\n9taybKQHzo2vIfDYUJdde+dqHuj5s58mDktTZ0tL0BDRUYxuTo7quadzECYuJLUri26P8J5f/zVP\nzbQ91/kaH6scNM91Y0y4muBVuHKGvzHuO+5MINvYLKqJHyDl6XfA3ecAl1pXLecK5FoMq9RG3HOU\na8+iSp7gfxiicjVVvTBFVBTX1mNU2lgqnpPHmzaEHiVQneeRbWwiPns78hdfKdA9U5MwzSbscFjJ\nBpZ35fDvDA/kMEw8NeXJwzJuPp6aLJJSFRhggGLk+camsIIF0VMhMFbqlwoJRO02bK8Pc/YM7Gc+\nR0UljAFmushfPE/Pf5Qs90O1ffDVoyyz0BiRjbkibCaywVXzU4Ut484E7DB1qorVYbKo2SQ9npVV\nwERIjiyQvMLUpMBkudarrVDI1OEWU0sERWaz7MCwBwAPHRJKT3M/tayx3jfC55fktprrEloJ5HJD\nA+og8cCSWJgOuVQVsB8hqV11yEStFh7f/sPX/8YueuxVBCVALFATx/sWsuXP6jicJjcJzMp5B3qT\n5E3Qe+HhRsekH7ZymNTiJgtbJlS4Ikc01iwTenQzpqxEySW94thTwBuliLdffNeriVoxRnIAsXKj\nmui8wEyDLOOo2ZA4qyQ1WVWzXivFX0f2KyAYAUpQShcAD3Me4buo2CyZXKQTZiONhRF/4wWeb2x5\nWh4UXnBxaw41jTqY3efjuTmi8gdVprz7Bp4GACGu5f2+yxOtUPxbe4UVB3DU6cBubRHxptVCdn2Z\nYLuNBvEjslyYp6MOOvGiJlowzSaRgVrj9O9NqksbTU0iD5Aw+n2NqgVQIolNTVKftrcL4l7glROE\n1vV1BHCARPNywcAzdJeNOFOrI56dRra65h0uHIbKt7ak//HUJBDHHtErarcpRFdhqETj40I4jFig\nTj9DeNg4z8REpiAIqufln1//euxKg8VEZaXHeGqSqrz0+zSxtdvC6m86Dp1nRInu9RDrEnUADb6r\neWjqNU94R4oP7Ox4sWoAlLxzGhKAg5jNzshLyLe36UBY3wCimLDsNpci0wAtZo4dinaMW5wyBnkG\nUoWsOc3z8aJ/aaEmyRrxsvi5vwoNwM9JGHqVX1A64NHEhPRRQ6+AAn5l+30iIe3uSizeqoSqHQ4q\nk2pM85dnReGa8s8CZ3X5AraWAYgejcSYHTY44tg55yc4J+DkHUJBNKBAAHmU8zBc5w4rFg1jHSGh\n9gOFoqa1iO+4FcnCXHEBpfrIn8+WlnwkS5U7rw8GBSXMNjcFnoc8IwNBLuTrKwHOENjdBWqU2Muu\nLxeqmr0e6ca4Z2KJC61uKpd2f8u3d5Dv7CJamCOmqtPwyXd2YMcaMp5crcmMjQmt3/b7HhSU80o2\nHXp6TdnGpvA2bL9PvJVAFgBxrMTlinkkw95uk5Hl4tc6Ri1jb3Mqwh6gW2yWUe6n0xEOTLa+gXxz\nWzZ11qPKdVxdrSfOA7EOjgZvSPKZ3xEfbA4JZPt9T2GUc2Wvpd10Fvu4mbDTyVEgTTGLI5gzRz1r\nj6nLTMNFjf5vB4PKeON+1gi72Nq1pS8dgCLR12Br3CFu9H3D63r/roqnhtaaCxtJkYPQImXPwLmi\n8dQkCYX1C1LTvoQKHf8bZVGPCu+MiFmXKsDoSwUIoKg1XqBQmFwyN4d8c9PJnua0gQda8myNEt19\nrcA9J0npGUT73ZHGtJc2EkYWUY3LfK+HaNIl2pKEYH4cogi9AW2V8pw7TJWqA8btUMgrjboASnOX\nWcYSynFUf34OZhrL5XizrddLfyvdU/07np0Rhcy423XEuWGRvOcxYenrw4Q1ULBt/yrNG8dR65vX\n3Ii1fyAB0Luhj8jz5m+tXsgIOKOv9M5qdVwfnMcyrgAAVnEdu3b79WuxJ6aOs9mb8MbpL8VC504A\nfmKQ8etcuJqz01UkFm56kujTPd8q3GvPQg0gSdw8DGqSEI273YZNhwQTY4nfTscL90g/MqWrUZEs\n5ZARyRRkblMbUU4O5Bno+GK2vuExP71qUFFcCBPxcymJ0rxXrunIiCOquOPQJEkNyfysWHjhuHih\nGeMqULFFpASi4ukpEaQCCvwvM0eRZ2LNl+L+OSE4tOXMzxA2DpPoTR2AR85iaeDiITL3fGOw2zvk\nhvf7xabuardKaTPAt0qVlnw8NyfelG5CaHFe26jDUHTtUXgR+vvc32RxgTZLh3IRESxjxILk6wGQ\nBGLmDlFBOLGkg2NIe6xNoPACGc01NQlmM2fLK4UX69ZWPNlBcuYUHSo8nys8DH19m6aIZ2eoMDcw\nclPXazk5suiNCQuOUV8DyKJDy+nn0TVHve7o9TusPoRK1ceA4jADCtQPe6rTU8L50OPhfX04KGqe\nmgdvuObpTbexA05Xem0N+c6uZ40B/iYizVboswctXpiXmDDgTwr+WRex4CYaNCheEKsgZmtrnoY3\no004SSrfh4sPMrU4qOEo1wacgJWbQFm2vx6zE2vie5ta3XffmOXqLCrR4lb94gQcwKECl2PgAtSs\n35EOafNqNpBeuy7FQXTfhUzkYpoi46AXTESutN3eIVhnoJZns7wI66Spf1CoewBFGMb2+2QJGiOf\njVWIhv/tFRtRSp7GGA+phChG1J1CtrmNaG6WQgKaUMOFjplYxQtYI6NmpklCYWmJGKCBdzCK0KKb\nJAj5wFL9DwlbIkHL8WsOFQbeq2ZQ5ip8JrmhXo/CPJzLYd3xKCaoJG/KLgGZrW+Q6qe2ZLUq4vqG\nqFzuZ+2GrPBseUVKGIZrUowRtY7SK1d9suHWFqyD1HKS1Ptb4N1zglfGi8Mh6pqexc+/S1MpPKMb\nCaEVn2cPyTQaJAN9IyXvRhHq9mk338ZuCy1wzUKT/7uXFEpbevR4oHgxLNhz7bq8tLjTKVlIsoG4\nk9aT/cyLDZYgXvXigOEFIGw1GtJorOm9EFOvVxKMWN9DNMRdzE2euVYrfafotG9hCIbZPVs8NUmL\nSWtAV/ShiozEh4DhA1AdXhwD1a6mSBYHC3S/PrOFx3Klea8nXoY+0CSh7RK6NiPRL8uoGGMoxs79\nApDvkKWpNUyM2py17IPnEbrxSi9dRjw3IxosEjMG46ZzOfQ9z8j106rF7lmcek4cIMfKcVf9s/f3\nQCmQNnOSsNDPSp2KS9/xqPZzc8WYaI0Y/nyeUbJU35/XFie11XrRP8fdrrdW47m5Yj2xYbMfFDXE\ndrPXyZyQKgncVguwVjDm3hxnXLpDV3mWdXDPqmuHjHZOBIexdrnd+Di4SAkfiNMImgkAACAASURB\nVKWNPdy89c+vIVx+823sgEdLB3wXlC2seHbGTzQ6qrgkz1wMz3PP2KLMgjJUERd2KA4P5Nar/CLW\njbWUFFVFd9kqAFBgVNc3AEtSqVGrJTodngUecQiBoHjJkcVicrjJpyekFNF2z6KLEwOFRWZqdQnN\nlJKVSUJUf9GSNp4bzgQd1iLJlpb85JSLLbN+vDy7O/xsbr1yamHj/uTBhsWLhSzdFlWXcpokPB5a\nMMkYI8zJyNU81c+hN1tJ4rnwUTw7UxQMabepChFrjfM4AxTb3yus5ciJv0XNZlE1qMKVtoEOkH7X\n/M7EEDhkM4F3wK20MVqSsBD9d2NkzDjGztcT76TdRq6QSOyp8Vxj+j5r8VMiv1XW0tfWrkOh8NjF\n012qWWsM8s1N0SaXsoRTk7R+O51Av6kuuvlSV8G1fHcXyeKCeGvckiOLJVVTQBH/+J05XRmP++C+\nL5s9h9TcvNT90t6jNsi43gPvRRw+5tCdHQ78dc2yJKpFjYZHVDTRjW3VN13ylItZJ2dOIbtwsUQm\nELlZm0uhaiA48RXmlL4UkXKjy1gzkYLLgLFwknaX+Z4sLWoHw0KP2lnfIZ5eLEtOao5I0I3URNdE\nJ5fAq4IeMsba1GuFsmOzCdMaF4XIA2nt+0kUVCSXqoqGRxUhBk8/PuwDw0Pd70ua+cG47Jes0glB\nQBHSHMklHDPdBxPHAi3zsP2aUm4MktMnkb16GVFnQsomijywg30KBC54Vm8+3EjSrfJhAxisGoNo\nfJxo/7rvFZDJQrlUvduKBGjYX70OANpw8r2eJEVFhpnZuyM06U2SlBjIQPHOq+5ZORQ8v4zxvOAS\nvj8k8o1K6jNUNJT2sDnleALpi9L4BLIX/H1TSwp+TdAESh0k4OXvrRZ5/kOqFGaSBI+t/u7rHO7o\nxsdu7XibulDP0xRwlHITx36FJUASj/xZZs1lbgMEIDUvqWiys9Ldy2VrTrDRWVYkbPd6RJhRsUnp\ntiNpROPjlNTsdOjgUUkarhZjAvkBESrKlKpknlGfkpoQrMRai8m7yNY3JPZrrSVYFiCxUobcsRyD\nWPmuMk3c7co1OQcBULiJE34c8rLD1POQWPwLgNwDAEwcFZZMrUZudwAX5eZNaOedaMtIL3Rp7NE4\nghWPHR8IHCLyypFpyKyDcso7zHJHMc/lHcZTk7SBLa3Qxh3FMPUaWdpMfR8M4EHg3ELV80HeBeue\nBHmd/WKnoSUcwuSKP1FM3QvLRKYQInNrQVuwEn5Qxk/cmZBr22FavP9Gg7yyfl8IWwybjJpN5JtO\nH7/fJ+NnfBys8On1M7eFt9dsirSBUPQdLwDw8yjscXiJ40YD8bRf51cnhVmQz27viJerC7R7rcqw\nzTNEExOS4yn9WStoxpF/DWPkfcgeov+GIr+V7+7Smp+bk/dFekU7BArp9ZBvb78mRvPNt7G7lrPO\nunNHvCSmw7CbsTFP+pM3R95IBI+eF5a9drF0EVxTr1FcXL/MPBPMM2+MnBiMO4SxjWdnCtw8J/Ac\nbdjUEjmcKJG4CxOT1rtpFVouJo4QNRqO0RgVE2BrS66h5RVsv+/9W/8ucsxWPvgobk2WJRe0yBwm\nXNebhPN+TK1OZK0so1BHg3XPh4LZJuw7xXKZ+CVErx5VPYpaLcL7Oo4A4NQe3aHj0fYBxPOOur2y\n6uUI+F0V4ZFMnldKsbmNT1QlT57wkTIOLsraPVp3yA4HpA3OSbtr1wm7zBb6JJF88o1N5Hs9x9Ik\nay6amCj6ZEy1VZ6VkRY8N0cm/U0gsGUM4jfcQQnME8claRxNTQrahz8H0CaaukIneswAIDlxnFi0\n7p3wtQp9dSPJ1GxrizwVt0GyZc3hJJYMFutZKXyyemTUIkXVeI7KKkZujqRXrkr5OW6S0A/lpPNM\ntJK4b3avJwgw1gMqxtblQgZD0UOPZ2e85Hnc7Xo5ABagizsdH+WijDB94DCPgOstmFpd4vohYknn\nnUyjIVEAADSn1jeQXr1Ga29ri+Yqz/cKldvDtJtyY49aLVq4rRZl+6OYYGFqgsoguMabjkkSGZy8\n15PYNsdc7XDgTQI7pBqa2coqEXi4zJWLu7NmjKnXCKnDBZDrNWcZkiSnqdWJEMIWoUvacaKEY5ds\nxdIGtlugcaIIdq8ni8ckCSW0HPmJtFMKSyhqtWSR8Zglx47SOHDYSWXlSzBHHas1hryYjOKwHCP2\nyEbKKsm3tgovRgkwCfnJyRhInN7pZKeXLgN5Dg39MsZZl4Ohlz+AMb64UrBBSi1UFlqLYmCsSdA6\nJxXhPaPTg+eDTsJF7TZV4QL82Hu9ViTZarUi/MYhoCyTeRaOD7e426X3p0SlAGeERBHVqK3XvY0g\nnpkuX8taYGmNLMGNTTJ6oriowBNCffOM5HptWaI4ffUisTtZ6nhr2/PceFPl9WSHA9J+cSEWKWaz\ns1fMRxfakudz6CzrIKImjsS6ljJ+oHkUT3ZofXc6NP6K8e0NQW69DV9L6ea9ns9KVn1hS1jQa4H3\nBhSeIxuM+daW7C3x/JxnYbOhF/HmnBcHDo9pKcnNCBx3D0Fx6WaKIh5xd7LwMA7JgwjbTbmxc1GD\nYlPJZXNgt6wSBw6FZbasK14kVxl9oU9BkyS+hvfMNMW3HOuPEzP5zo4kOUySFCX3OASQDh22vl/g\njpNEMKumXiPtkq2tAuKWZ8UCc9Y0u382TZEtL9MBtr5BB53CSfOL1wsxvXSZDp7cVie11Pj4glo1\n+ZwOZb2m5pJ02eamxBg1uzXfoTqokoweDJBevUboIMcWFMu3ot/ys2xMWy7ZTgWO8/EmWaQz3VJS\nzEtABgs8alE1IdHvqNdJnGx1ne7h+pT3eogX5mgzM2X9bxaNAooNwzSbhNrJihBhvrtLhztD77gr\nvXJsOmq3iSdx9nZgcU5KFRYfMqWDOhxDbdWXxNRYK9x5lsLM5bF2c5yRHALH5WtPT4myZdztUjUm\n/f1eD/kWhQm5ChoABzIgwaxsc5PGmjdRfg9i7ebFd9UziHce8FPoHxnS68s+giuikOio8EYYrsmW\nfLG97Np1IcIJUq8qV6XnVxR7czlcYxLaGh/3ar+KMVaFkz+g3XQbe4oBPjN8As/ap7BkndpgsOFE\nXL1FNaYnxwvzbgN3ZdX6/SKmGEWIHQKAQynh6ZqtrBYxUWdlm6TmLRaO3XPLd3YQz866H6gCPACy\nHBwCx/ao/FYlFA00oQR7zdasc29tmiI5cbxg3zabZPU7vDxtnIXMQb65WUq2cuN+x7MzEl5itxyA\nLEpypQuEjhCn+HOMinDWMo+7hqDpqux8neI+FMawWS7X8EIZyqWNu91qarWyRvPtHSBJEO24Ytbr\nm4ULPcakL04aGomdc5UtLXoVNZuwgwGpOi7MIZ6alHBb1G4jvXipCEu5z8e3nQZQqAByvgZR7DRa\n0tHJbB4XY8SokWHQntbqBvJXCFCgpRPYsuZxj8bGSpsBhyHi6a6H2DC1BMZhrjlsmDvhOvp7Xd69\nCax/Qc5o4k4ckRhcx5cDYGkOrsnKsW9GvAAQSQYhG0WxyOgmx4+5QtqJJ0ltB07Dvyqx3GqBi7JL\nnydaPpoO8OZWNFGQyYiY5+QPXAEa5rCE8tn6QC86YVw/xsUojWemPYFC+b7z7jgRHc9MYwlX8Gz0\nND69+edIcWN1H24+VIwSAeNKOzpjzYqJGoWQHD+G9OKlItGqRLhYstQkiSAhRNmtAjnC2fN4YR52\nd89Vvc/Eqst3dgq0CyMMGHLnFOuqkCES73fyp9n6RqFQyIUFlOhTlfyAiBsNhqIbg5zc6uTIIrKl\n5cJCzjJ4Mra6BYgCLiwtQmZDKkem3VseU5b3DZELXpEKZ3UI3NRdO+wDAN+SqUBD7IeQkM80Gogm\nWsjPHIN98pP7yhrI58fHS7LOjNwwrh6rHaYiHZucOI7s6nVftMrNr2hm2pN55kOkJDsLIFTW5L5W\nSepK3wKUki5iUXoP+6GhjCnq8VY0iRG7whEhSqkSxcSCXUr8Tvcr7nQoHu2QbBwO8UTMwn6zVx2s\nAw5RcklMRsEIWc6tRVOvI57uwu7sFkXnuT9BPdQDC7Psp/Lqvm/GxjzYpld0g/HyVQg5haW3gyEV\njlldQ6j+Gk9N4rG1//o6R8UA8sA8QBp/KxXX3WYJAOllJ+vJCQldR1QRnApG41Bi8GFj4SkSW6JT\nmkMg+Q4VCC4mSw3J6ZOIJzuFld9uS3+jdruI97lSczYvnitb3xC33CQJonoN8URLNipukigdDLzK\n6bp6OjPvBI6XJGJtlJoigXHysygA3ndZ/cDVdf3iTV2sHGeV5FtbxPLsdGB3CuXDvOcSju5zLBIV\nsiIFT++sOH6XNk3LoRPXxDuIY9hj84g+d1He06jP8jNypSMdj+UDnMNvsjFHMcWmhwMPR50tLVHI\nzG2yYulxqJBxzQ4JwkgUbV1LSCkQB2PVv3huDnG7TV5Dp0MHkquvWhKVciGCqN0uxdZNkiA5ekRC\nJoJnr9Wl3/lej8aDdWTmZoSvAECsbZ3cjzSjeosKuDPzlJjEzihyOSn2vDkvJc+s54LD4mtZAOrf\nHkzLeReOqBjNTFPse5JRKmS8pVeuluC5lCRNBelDB3nuPZP+t0kSrwiNblIspNeDcYgixsVzi2dn\n/PwTlJWuwjOEpU8LYbKAlCjlMW+g3XwWezRtzzW/ssisA+ICjjpZPUiksg73wxZz0ycpa4BIksUl\nGVmGljWomagBQKwvSaqlQ7E2qjur5EMVtldEsFyiLV9bIyt0Z48mMffNRIhckV+2FKN2m5T2VMmv\nKrnhqjFhzKxQ6rWVZgziqakyzvYgKyd4L+JlcYGSWo3u8ZZ7gI9+Rggx+d6e6LGPwvqH12aEgdZD\nZ5x/lZcgeHBtBat/l+aIQxhJTiPgVejPyRjr93GI5ll5Bwh6yXcW5inpO+rvgYVY+c4Ca5TVQZFb\nAhRUcDD0gVvVxDN2BcyB6nWnawlU1U/glpw4jvTVi/77CvotHnL4PN2u5DB04R3Nf9D4e09MbzAU\noIR46hXFe0oWetCSxQXk6xtlCXD3XV7fVc+lE8lP7L0HG+ny61yPPfrSkRMWKGBw2fpGeZHxxqbd\nwuDFh/rp3MLNMJ6Zrqx7KrjuihqJ4cJkdAjfz9sgGkWREN7YSs9tDOLpbklTRCaUImNpi33fVkFA\nqvxYsAj078Nn8b4TxyV3UrdkcQHZylplmEi/A2IjRiMTXaxmiTtPAy9dJCip2iAPrJoEP6zB34u7\nFCLTBBPplyJZMfrpr6vtSxrj7vFiv/cu4Pnz+xs7FYSgynuqTXjfz9YqqhoB5XAFhxg4dFMRzmAi\n2X79O5DYpVUlGfbMXoBTdD1oTA86qG64hYeOJqq1SDFUJEocLFqHnAHAxJGnJR+Nj+PxnT/6GxCK\nYeuJiTtBy9Y3JM4uok+MYXbwJtncoiKeyUiZqk2dSQ3sNsPakcWsJVwxGJRJD7ypW0uxx9yS5RPH\nHkvWJHQocFIr3931kqqa1JNvU+LJ18YZumRpLtfk59bSA7oJftuNb6l+KuC7xzzZg2tp4kYVtMsO\nKxKF6hrptevFQauaVNtxY5qtF+XmSuQe9/e81wNeeMWpCZIlLiEPzVYe0cJNHXmGfGOTvERGTxlV\npcqNnQ1IQ1WuPCdR9e8qRexc8yphhdd0jfkc+Sc+u29tVU7uhtfQ0Ea+J5OT9GeAYMwdEqUyNKG0\nlAQ5pkTiwo1OPPEDhLBKoZSZ6RJGHCDCoYQ+GYefpkiOLBaCdLppYpM7nOO5OW9cOASl1UkP1QIo\nsd5jtCCeaTYEIZatb3haUQKSGPP1/G+k3Xwbu4HEY0XqE8Xi5FhZsrjgikrQpGSEiJTRUic3AEla\nSWHc3E9G8SBG4+OlCjcjm4MoSdOYZufCa0KNdm09bQ9tNbB+DFe2cd/Nt7b8SbK3h3hu1kePcPxX\nuayCc2cLU7NlVXJWfhdY0QzFqmqMmJBnBRwrcMr7jNcnoNgwAytu1GGh/8ZNRKRuOy2l9HihhKJc\nVQlZfUiyRg8XdrFpShu3O3xMHCNeXADjrQG1YAMcu46rRmNNZVS4A6GCsKSNE60bUhKbAsFxkyNk\nvMTdLhjOKwziEJ1RwfYND9UwlJCtrxfjGVwn39srSeQCRZiU80VEmCvgevHMtBSjIZZqUYaSZaEr\nmbhRYQzpnNn/x92bxUiyrOdhX0Rk7dXVXb3Pcu65C2WZfrAomOAlKQGkRcKy5OWBku0XSjb87idb\nsCjJC0DICyDCfLAhwSIfbNiGIcGQTUAQRECGbMBcIMiEQZMUBJq892x3Znqml+ruqu6uygw//Ev8\nEZnVM3NBCXOYwMGZqanKJTIz4l++pfyO6K8I18CPxzoXlGPQhUojTaSR7k+IVjIZtxbQ8lzNeApp\nq/N7cjwRppMgZrFIvTleUB8r8bxt+/Am9gh6Oes0IcqmaX+/R8SKnR2SkOVINLPfMi+U6H/HzYa0\ntZEmsMB1aqmb2xc2sjyrQssAJQbJJpMKQLRsbZLFqNolGbRqMkn74wlRUTsyuYAnzdlUYVJyXcJ6\n9aORWtV5ZtFFYbYx7BFNTXVrrqNbmJiwbUU7PoM38rGqJ6d07twQsxA6GWPBo6tV3P19nul4gXwZ\nd6uGpBO2SS23KOXgSY9hkRl79ZLIOtLcBQBvlBgtXE/2rY103rdI3tqFWAlRHPnH1Qrh6IAYw5wR\n+Z0dhN2ZCoKFk2MiWoEmeKnLyngrnp8XCF3QeQzrxSJDR8X1Q/bsAQzHXVyrrIFtsgvevWuz2Zlq\n/+/sJOYv93bC0VEWSQuCyD5X9fl2irsfDuF3Zxk8ubm5IZTUaESB2eEBRO2w+vgj5Xu0IK2GJxAM\nxNlPJvq8hpPjFkggHB0CTYOwt6vSBbYJLBF6fuJB0TatspGUtficyuc2zGYJis2Bjro/yfwjz4FZ\nwASmGQ724cdjgn56pygp2+B+3+3DrLG7H9O/dwlJuaqXbL1izCd0XtGrjz9Cw+QS0UIXEScAjCmv\nskarGw6oxFPU9mxTViBhyiisa2JIFuMYZjM6t4cHhKNDbD77nD4/2Ed9cQVxmwdMrTgEuNEQmO9q\nI9A2Z8J8jrhapUbMconqK8/RvD5PbLauh3Jb/bAUvuLPJELpqoFbMSirO5/BPAtIX+uYW/6tbC5t\nq49qnfkPfS+a/+e3ko47Q0LFczIj4ljBti31Z0U6bEl9W4bnwONNPQOxlUaeCKe1xvdd+x7czBct\nkqwBP5+rk1hn70fghqaJnDVMp5PUzzBNfnt+crzq6RPUr4hFaj1uZX9yfAuRdL1+dgwl4/gA3+9R\neYI1narTE11wNcipazWHtwAHYHvNXu+Z+TcLWwaMB7APanIvE7IbDhQwIc1/Ld8UPrwKXxYOR9VD\nZjaP9EyH+ZyuZ0HY/NgQckjQfhK4+PEY9fU1eZ42b77cNXaJbkTa1FUVqq99TMys/TlRlHdZl8Sk\nc9L99js72HzyGWmAgCYdv7/HaIkea4DskK4360yQxgkzXg10UfRPJJKSGjKcIyJSExH29qgEwelm\nmM+Vmhzv78kfkTUn6jfnENMLWbmpCZo8NeOLM8WAa8rGD0TS0yBFueb1OUTGwJaaMkgiKEVX8paM\nM2cH1bOnKWKPDS2EwwGqjz9SEoo10bBOMgIvIy37Jo965TxsVAjQS9pBEMnw2KzLI1LDYTbL0nI4\nB/fJC3XZcUxEaZZLop/LJG41YZiYI/XnsLerUaoe1zAjLVtTJCzimhrUfjxu1aCdd1mUJSUJgEsg\nm43yHyQCVFllLutZ1nJLt4SvA97DCQnJeWKkOsfmNLcUTHBGINlFmE6yEo9i+RcLiPWg6u0wFE+N\nn+dzLZ/FzQau3ye9+sP9XHbCObhdc1x+XkRYrVzI6jfnPLYVosCb2TWrvrjMMpf64opE+GazFAXb\ne8VgByD1p/xwSAqJdU0+CpCJfg3X67dQP344AHr9xIC+v4cbjTRoaW5v4Q/2gUAZV/36jWaD4fAg\nYf/v7uCqXsZrESctz3Df5voa9WJBfJkN+8D2WGhOtG02G9J1KqHB77B9cBH72E3jPo7hhgMcDb+O\ng6uxRr9CxrGIkOr4EJtXr+mlGo3UxchNJ6S9wt9HVWmTJdY1PeghqIt4mM+BQHot8vAqyWmxoMmH\nDa/rV68pavn4OZqXZ3CjIR1rudRzEyaZvDR+PCan+LMzeunmu9h8+9OMyNFwfVANtOuaCDOMMLHk\nLPR6xJrkCcE+RAA0G3lrFGxQPBn6RhBEQqApyCcCKaxvbjXSUMlcTrlrHje3M6UmpUR9HIGpTEQH\nioB6HfccWa4R9qhu30JZSJMzNopiCocHqM8vUzRnoHUZHJQRCnK9rldR7yU2OsG44YDKCIZ5qVGs\nlMisRKtBXrnJBNHostuoMuztkrAb33MROit7CTIeSgzblkkJ0qrXJzYpL3L+YJ9o8VLSODwgr1gT\nMPidqU5SCsM1aCA3HKh5s7xjdmuddwG5DUdHiCyZob0IA8d0gwHC01NsvvVJFlXHhzUtHitiE2O9\nhj88wOazz3USr9+cU/lnbxf1xSVxTnoVAQ5GQ9RXCxXEE85I9eQUzdViK4EvHOzr+2zvg/YOJFpn\n/Rkh54k0svRw3HCQtKru75WAFPbnKgNtx9DP9xAX11oSOqs/xZl/CazXOPevsawXX3K4oynF2C3M\n55QmNbUy2lzVS80KSTPlM7NpClTiexlmqExMHwh+JNrelv5bvLxpJ5zCPdLsaOHFixKTYuT54ddj\nM/yuhDu6Xj/DGuviV9ekQ22/3zV5mtTUpvPCJtwaIZh9lThcW6aSc5JyTTn2ssBKWUa/K41N1qMu\neQgAOssz2ZhuK2uYz8PBPtWK3/L8k8XZRrNEJSPJ4mEWlK7fuqqiRfzTL/LFyGDeO7X5LdS0LD0Y\n5nA4PCAJgAI7bo/zNiZuOmHD3WDIXYnTlrKBUu0fks6JiGRlLFwuRwGpXOf397LvdGHBpYQimjzN\n6o6eFYZbthjDb+EXyLMKgHwVLq9Iu4n9C1rnYcs8ovUuzzGba9tskFBrfVogmSEezfsFgN5LE3Ao\nCkyCGfv8FgCDX41/78sPd3SszKdmydxYrC8uqFl1eAAM2LuRUS/S8Am7M/rMdqN9yFAwAFQnpVku\nKU1r2BLPO4rivSkxABk00eLURS1Ra39btub2lkpDgnopkDfi9SnpZVwTtr36yrM0ScsxWd/FEqvq\nxYLq78tl1tySRpmOA1+LJSy5foJANrfL1mQn7MQwn2v5BhDmbEKgiJCZ/p0jD2UmrlgjfjKhcozZ\nNLrv9zM9atlEKbJlgYiUeoumfil1qkiogukqC1m+M4rU1VGJYX6xbhKNnyF74WCftT8etJxjm53N\nkijtm29/qvsuBaEs+slumQLldFr8Y9RymHgLCAQXSOUnKT9ofdhsOtlwJCrPsWfdGHEx08heMsHR\nKEF9OcuT7ADOoX75KmPnpnOLysoWYS0dg9uVnk9iExNTu1kuFZlinbqklCTHkFKsjrOcs7A7rxbK\nWJUJvn5zngUJGcPTyO1qWU+anoye8ZORTvjOOa0IiAF4ZNRec3tLJbLlSpvn1ccfKXlP5hk3GdM7\nJqgdzpjLBvq7bB/exO6gKZJS7cWui+V869dv0DADTB/QEAjD3kSuUR0SfV0Wh34vExyim8zOQ7sz\nxM2adNGF7m5gigrrs/DGGLUOphheQWJUFWytVbb65SuiVgM6Safz9/QSiIVev4dmucTmW5/klHrn\n0sNuSFCAqVEL3HIyoWsSNIHY3rHELwDtH2S2YXovBI/tSH3v4oJqujJRgicPFjeSMotMFPJCNLfU\naHaBGLnN7S2LHY3hJwnBQpEZvRTVR8+1XwJAm4I24hbEA9ZG8nc60cVH1PKsSJUcq2HscBYtMwoj\nbijylXsgk7ts8f4ezeIazeUV6vNLWmRfv6aJjc2dZZPzr06OskxHUR4+QI1jemQDJ7IL1bOnuRep\nQYgERsOojAFb/gFpIpKFlJ7HHDkimaeUFiS6bO7uNbBqOGO0169ytoeHJJfLEERFYgGaeQlySM7J\ncSlTZTP4mrW+z/Vr8QRwvWT1KFt1ekLPrC2VCHJLxnxIXBQbPFAjk67FBa/9Fl3YTYQu98XyOER/\n3g0GqD/7gq/JZAyisrp+QNifq/FKXK70WPJs+34P9YtXVD5S2RSCc9YXFxkIgnoma5QCbG/bPshS\nzA/2/rgiWeqrBYn0X14p1ry+WiAcH9FEyTVckba1XXk3GFC5QqJppvr7nR01G2iWy0Rj57Q7rh9S\nx94lMTLZsjLJwT6lZRz5qNxoB6JD69XjsZZLXFWRYYJh0VKpZE3nYZAwQKoXu35fU9W43kDsuajh\nvNaaYmkRpmw9rvGirtODJGgJLpH43VmrBFRufjgkswF+EKsnp4oftmUMi17ScbTptKS7vT41cCXK\nL8hkLUkE0TF5jC5vy0fzuWZflhCkpQ1GKInmihC+xMXeT0bUm3lzTgSYpkG8ItMX0WHJykcGCVKO\n1TbrxE6mpqmhW8nauFq1iFhlWcJVFcLpiSKzZDy7xl9FuzibiXfJ1MWWKTuRKUXJouwHSIZsqfJO\n+Q99Or+i16M9KO5Z0fOUUFUiuOZ6VE4UtJaI7mWIFIuM6hAWzG6BvKMXVwj7e6xbv6dIHRn/zNav\ng/UumyBosnPoGCc9Fytz0evjVx7+znuVYj68id0fxG/ij3XrunBtq7VJHY2jM6u8aB8MZTGWcMYO\n6nJn7dMHwsPfP2R1aHsMgKOhpkl04cVNppaYPfDOkZTw6o4it71d1K/OdDHJ/BXtgjKdIMbY9lbt\n0hjpgjV21PGyIeUmXObtyLVEO9kByKBbZX07k3Mwx3oUhsn/7qqq0xu1NYbmM1n0svq8ZDZG0bLz\nmJYyb8esYxIDgPAHvwe4XKB5c96CT9o6dTkmdiLwg4FCNQGGC7Jblj6DPBdCvAAAIABJREFUjFaS\nACQc7FPzjyd6P5sSW1b0cTp6DLrAMFhA7B+7oJvSTxLdcrvoCsxYoleygrztvBf2+XmXrSVPMRjo\nRJ3do65j8ViXkFTpCQjUs0XxF92nLc9l1zm1ArZtMh4GVrr9olNvMHt+qiprVP++qLFnFG6uyYa9\nXUSuRyZCUGJa+iEZLIjtm066oxFBmxhNIR6UVp1QSj5amxukbnYOeSNkjagqqqZ7w/6P19dEbKlr\nav4xhMv3ezSpG/iWEmhYLyJu1hR5L1kI63aV/DI5nVbX94Y8XC0uOmmPJ5s3tYELRY+BseS+38tq\n5jreXGcVCKTf2UnSBzzRWN1wqSXbcRf2sN6nJtcYcaMRQdY66od+PCYdDZ4U64sL+swwaaW27wYD\nrW9Lea25viYUhSWTmOjNsnGVQOYc/GSE6ivP6HPvVLNeFkCFh56e0O+qANfr0TPGKJrq+TN9Ppu7\nu1SiYghgONhPkEqGFNqJShiIOtZ8v2UxqJ6cor640mwMYGTIdJIUE7lkWDKK64sLXaCEASr3CqBy\nhWY0xrFIoZnDAZVnTDO0uSGHJGUCHx4w8WadFi8u11n/WX3/LGOTMw0lRPV5oWWCnJSELLkLztGx\nxKKOa/PSE/LTCZWhhPlbUPwtkQo+ZM5GWd0eyOCr9rwzaeOjI7jBQMuE+g4c7GuvCoASs3SeYk0p\neU5iXatXwHezvXVid86dOud+zjn3D8xn/5Vz7i87537KOfc/O+dO+fOvOuf+kXPu7/N/P2N+833O\nub/unPsLzrmfdc518/XloayqpPuyugMcC+P0CR9KL7rTem5zd8cTWDKEFuyx6/doUI3Ti0zkYi9n\nb7DUs/zODiMA+hBT6exUzU1XJqSnycQqJPqjQ5os+OapES5HA1I7Fo31hjXgRQbVj4ZqyC1b9ZQe\nHKnzSQRlqd7WBi6LcriOLP9um100AVNDWhBI8eFBo1hlA3Jd2E8miuu3tXdhD6ubktnCybFKEEtW\nohvTuanxtENesMNhS0tHvGFdv68QUjk3ZR7LZM79kHQCvECwlHI4POQyXcTmW58gcjq9+fwLKv9x\nmcrP54yuWNIi++oc9cszxNVKtXzizU0qC+zsIDL2WkTTmptbChp4YpDztj0ZeUaUDCbYa5HMsOzY\n2BC09GoBS8oSz134oDhrHeLRMOsNacQIKNRUzL3pnGg/ze1Sm9iyIMbNmqz2ODuqX7+h8kJIfZfm\n+tqUayo9PwAI+3spyOH3Qe4/BRE+63kBAFjdNMznqfHPaJ5mdadQ2/riAjg5yngX6fnh53fHNKab\nmqCinImUjfrMzs4sBtXpibKP67Mz7cHIwk3ByZW+C67Xx+aTzwqtISZA7s5UGkOzJ6Q56V23d4nY\n/yiA/w2A3fNtjPEvxhj/cwC/BuAvmn/7L2KMP8r//ft8Ug7A/wDgP4ox/mcAagD/dtfBnHPpwQFH\nSU2dJDcBfZibm1t9QcVRCADEGs5PRlr3jusHqnFZunRgN3NTb5X038+maibtggfKyNY5FfZynshH\nnuFTkr4CQNjbIy/UXo/2KeQnIcoAqZHkHKFSAF2gBCWCGLVhJpOOQB5dr0909iYmdixHobLI+fE4\nRREsmBQOSW+74QhHrkvq/H40VAxwGdn40ZCcl2KEHw7I4YYxxWIULAszqTTSgucnE9QvX2mN1w0G\naO5MFGR0OdSp/WFNLyGPn55LjNQrGQwSkYPH1kZ5rqqyMlhzy+idhp6juCSDkHqxILPn+/tU+mEy\nikZ8cq6DAdx4SCUSLnE0t7fAYEA8if09up9iqcc1eolyw2zK8rC0ALngdUGKdQ03HqVAYk39FoXl\niTer9xTVMu9CNcqZWBdragDHhwfEmySu1tze0r0JKQMKh4cUka9W8LusWeN8Kj00NdvKTZUY6Mdj\n+l2/R5Pb3i69B+xDEB/W1Kjn545KJWkirZ6cIjLcMIuO5d4BFIgxEEBgi+IVYGV/JcuUZjDATdDL\nhQIWRJaCJEaoZt9cUQAmWZggeOCcZlaa9TU0L1lQBkCSFHF1l/VW1JGLx8gKrUkGYTOq8IzGSCRP\nFCU0GiaTnvfY3qnG7pz7UQB/Jcb4/R3/9lMAZjHGn3LOfRXAzwD4FQC7AP6nGONvOue+AeAXY4zf\n4N/8BICfjDH+RLm/3XAYfyD+i/QyDQZ5TV2aE101cYs3noxRn18kiri4HhljiqxhMZvBTcbUGLG4\nX5loTF1NNDXkvLS+bajygmMFADedZNjV7FpEt10amifHwOoux9lz8zMuV0lHpGysmTq20pLfEbus\nZCfB1xfSxRmt3B5TsLdcqwWkLjhUskvcbLoJLbZvILRpRlL4vd0WJjzs7SbZhrJuKffI4L676rDl\neFjZXUuKUtckQGV/W5wDQdo8P0X81mfw8z0y6m4NEt1jMo2YKmFO9zObAVymE8SXRPb2HEWW4FFJ\n5rKPwse20hVCygpTTvWtXj+QelJN1N9JNiuBlTbUt/QdsmuXd83WpTVTmQKifGquwU/GecPWHMdx\nlphJMhRYfZW/5nHfKg3syPVMJKbrm1sdv5KUJ3+3MgdAknwun2eBX0rz1YUA//Ez4NWblqNTdguH\nQ3qWRMhwMFBwxK9u/i6u6t9jPfZtE7tzbg/A3wLwp2KM5865CYCvxhh/wzl3Aprg/zCA7wXwV2OM\n38e/+3EA/2mM8Y+Wxxq5SexhQPmBObVn+Bqeu693nyBPqm44UKyzRQZs0wbR67BIA2ZxWuPh6skp\npVZAS4PcD4dwk7E2s5QF+hataT12VWUvs3xmJ5zWeXIJwjlH7La60dq34+Zhq2lVoESsVrlOipu1\nNujKY5Xde+3oyzkWXXwlkhhtDNUMkcaowdO/97aNhIR8Em8hDhY3CPNdmpi9yzXtTZOwszHLGt+y\nuGTNSqDVBLOsYiBpkogIlmVjqrnD3T38ZNyymMsmX0bn1Iub7ZMqCIoaHx504bYkuRIh4ncpyq5f\nvuq2jBRECzNC4blE+LBWYxQ36KO5vtGygUgMW8106/BVghoAkrdoLq8Skss0dIWAJTIVstiojaFF\nhpn7F+ZzYp6fnVH2GAIhn7YwYbsCR/t5ONhHvF0q1l9M6LNbsEXnCEjIF9frU5Z0fa1oss/DJ/is\n/u28VwXgId5hFW/feWJ/iy7t9s05twvgvwHw78YYzwEgxngL4Df4zy+dcy8B/CEAnwGwTJAZgFfo\n2PpuiB9wP8YvCX0m9S47eDI41ccfYfPtTxGZwCBRjjyc4eQYzZtzXsmTyL0KfjFkTCeqfg/ODRKG\nnuFv8WFN1HYWcxLkQHN3hzAh1cS42XDaTDXz6tlTwjsr9veAUk+u/Vpqvq9rWpjEGxKU9nuOVquT\nY9QXlxQtOsdkhwaoKjjXoHr2lEocmw3C86fAmwtd5ITJKaQS6lUMNTJz4xFR8Q/2Ee/uudHTQ/3m\ngl7gwQD1egM/GaG5TU1KAOTyBKSI8napWYvWyodE7ZbJEQBdqwgdHeyjYdq+lhUYxqeZFgBX9fRF\nsIuIlEL8aIRmtdI6q/QX5EUXOQaRMqhOjoDLq4RY4nKbCpl5p41CP5sh3rJA1dMndL6s5xJjhHOO\nxrff14jS7+4ogUgw3LGJST98MlJ4nBotNDXcoA+34jr9wT5wf5/7dI6GaG5XqI4P0VzfpDLP+iGL\nKqPUeGVR5qaooEhcbww/30NzcUl4650pLUKjod4bNxrBH8yBTW3q9p7IdmKlBy6ZrNfJa/T6OhPJ\nkv9rZrg7I/0Xlu1wwVNWekG8gMj9pLA7UzkQACr9IQxP1+9R34L5K5ZIKHNEvL8nR7LhEOhRT6Y6\nPaFSLCOQYp3kM6QUZLMHdU8aDDK2qrKlOfMU4T/UtU7WsmjH9Uahr3puDALYvDwDnMNHw+/FR/U/\nk7F+XVXhV9Z/t2u63Lp9VxG7c+4QwM8C+A9jjJ875/5UjPF/cc79WQC/FmP8dedcD8DvAvgjAD4B\n8OsAfjzG+IKbqr8ZY/z58lilpECpFgdA039BlNgVtlRcA8xKKxFbaaRbqPp1wes0GubSQqbvYTRH\nrNJg1xYOD4CHdaYoJ1AsWYQUHTClxmSWvhv7LrXN64qwxND7LdZddpy3me2+qxWeLRWIH6cdq21b\n6999QPXkhESQXr5KnILWD7nUsU1JUq7NaJWEnZ1u7HjH+bTclYCsbCMlmK0qlFySk7HrGmMpwWQC\naEXJRYMU+2xzKSE+PGipBsjLctb0pevc3tvAwQcKBLjEIM9tiaeXa/LzOerXryGCWH4ypsCnbijj\n4PKawJg1qn/b82aySMCUP7bJM3BA4fd20VxdZyUcfdeLcbLvTVn26RqXbZBheEfB1P19biDfda6m\n7FTKiPyewx2dcz8C4M8AeOKc+0vOuRGAXwTwzwP4H51zfx/Av8Nf/wzAX+K6+18DNUu/HWn1+EkA\nf9k59x8DCAD+u60nZdTzmtUdvEVtALT6ccQLIHtA69dvtLlhFQHDyTH9n/Hf2ohlFIZCs4ZDjdwU\nvcLKheHwQPG9wpTLFhwhXnDDQ/Znmy316zca5ZCu+hB+OqV/Nw1FNb02xgxhNtMFR6z54EM2cQD8\noN/RvnRSl1S+o7vuuOG3bXOsdkeNoIOscWQhi4LqASiCk2hMqNMWfSMKnn5nhxraTLeXxujm8y90\nUo13VOpRzWo9CKMh+m1DCtlfEPJXvw8XQob3D8VzBdCC5FmhUMa++uh5Ji3hqgpommTsbVikfjhE\n9dWv0L6FJMboE4GlWriuNO/l7/TFwoCEeyb16zd6/YGhsK7fT2Y0UgIDtGejbOiCCe2PDvTvYW+X\n1AcZjSPNzur0JL1DjDhq7u7hdmc0wYdAWjXX1worVlTTZgMw2kukAJrr62RGfUdluOrrX9Xnvn79\nRrM2eW/F2NxS61VR1DQf/XBIoAsrzyDnDej+dYJ21KxWbst0CoVWz+fEIGb1z7hZa4Rv0Xp6v7gK\nIGMV9nYJ9snyyoLssRIlzfU1wnyemMPCeOfra64WxD5+/qz1jL7L9uERlNx+/MH+n+iMwCxjzkYp\n5ZZF8EJqMkQAEQmT1XpbhNTecd6gsr/LyCSquZFKAYIzFkapnKfU4/10mlhsxvv0XaNlOT9pnm7b\nuqJQAHmt3DR1bb03a0BKBsMoItl3vCIbwJbjUdGIyqIzYWOaSMwSaMr6fCv6LyOm94hS9b7ZBU8i\nuasFvcwMX7TPW9jbpebfzS3C7kzLTrKJibE/PEBztWjVteEDGXc4h83LV63z9Ts7cMMhsH4grLjt\nwxQNQzsmWYZmnvmwO1Ot83LLxtR1G5jbTerUtiTx2Pa2jM3utzO7fOT+WnVK+TcrAthqmnO5EEDK\n9DpE/UpCX/acbsmGyoy1ublVFdOtNXfOvLqUWG2G9vuCoNQVgYXZLIuWnY16jZCTYp45IldUDROK\n/GikuHZ52ezxpE4mNbPMacW6pCA1PulANa2uovEg9UgwOeRqQTVvdsVR/LJzCMdHcAMRyiKlSY08\nRKddIi3OZqrTEz2+xeGr9ICcl4wp/71++UojZT+ZUKRxdKROPGF/niCHTa0wvHCwn5imhweKUJBo\nUshQcbNpvUgAVE5Z9USk5npnpHNjVPGz5vY2SUhIVCXa1wyr02sLxmGK95NOIJHOmtUqOR3xvcZ6\nTfeNccMyEdYXF9Rgrlk7v4iq68sruJ0pwQnvSaNedYkGA2xevERzd4fNZ58bU/UkvIWmJhmMGDMI\nrkok3C4RJdiwC2VZMuCMSK5fvHDD3q7qo/jRiPo100IIbDBoPyc8YfvhUPXhhXSjGuvrDSLLUchx\nNfJkDor1TRWGbDjYV+1/FZbb2024/fkeLCw2zGZwvT71QuR6D/ZV8VEIQ/X5JQCCT/rBIEXlgJZo\n9D1eJ0kHITtpNg6k557vSfXsqUKC9TnlZrCUoWQTjowfDimIWz8kQb4mZn6zYT6nMR4MVBwwA1D0\n+gADKLqy7LdtH1zEvusP4jcHfwKiY16u9hZeqJoiIqdrO+ilFsaWSM8PB1kdlL7sFFFQysZuW3Ut\nEkKjWEZPCAwv04FwXqV+JZKUm66aHRINXl/rPuyxhD5tr6+z1lvW8wy9X+COfneWXJ6MhC4cY/jr\nOhu/TOdis9bJuMwIlOhRQvbsBMVSDbY3IllOFgnL/S1QTM1qpRlPed3ysskLbmvB2S00MDUw81mb\nt0YauV4sNJr3/R6hTNiNy+9MSW5CzqOr9tqBHtom+dx1nVYmQ1y0NAM9OUZ99ibpuRT3qszAyshX\nOB+27BRms9Z7YDVjShhxJuvBm3wn01yy/ZuHNTUqmZgHUKnJ7UzJ+4DRLp09io6MVj0Rjo5InM0+\nZ7y4KQKm0Boqs1IbzNnjCGijleGajDmDSZtGqJqWCLu7eLfKnmG8ucUvr/72l1wrhkXASpzyO6Xb\nZmIX9Ee2D95UUCiTLaAHvvroOTaffpbtz958fRCHA5qsVqtMjS1Li7nppw1WsSbjByDDj3eUCbpg\nd9nmcx1423x9234eS4+79DTcYIBwfJTGxmxls/mxBnKXPods1fNnBCO7vk5a7VJvLTTgXfB6DNUD\n2Ybv3zIGpXgTfbG9eNjrAtIkICWOLg3v8vnUyVI00w0ksWZTCMSYv9CMe5cFQCC90pCWxb413qYh\n3yoX2BKhnVSco8VRaOxmAbEBR+e91ItM74vem0LfqF4scpOKjon5sedezWa6ghWjAGvr9DoWj+zf\nosoAfhZvbnJBrrIENJsBvJ/S6awLgLENlNEJWS223xelGNvIC4UxbvpSfqPkMxnYTAHQlnaco8lY\nKOtsMCz18ebySpsjkuI3d4lVJnW25u4+UY65dCE1c32JRU9FMN0CnRvRw2wjp8ytpddnXeZ0e1Qu\nwCWbOjQ13HSq1yEPppQktHzDTaBs+ATBsLOj1wswmoXt3wColrefTrJJ3coH1BcXLb3vrQuS3NvY\nZOUUAFS24HqylyYa0KkBLxorUoqyk2Uax2QP2HU+zWpFi6xNd0VLpWzEIT0HVt9dozCk5wWAaqED\n0JJBvL9P9nlc9hG5hqZw7Klfv1FinRvKovCQvH43Sa+9MX0bIbVkEbScE0ffsr+M7cnn4nnsw2ym\nkzrJMzRacgO4BPSwTs+VT8dUmKmRt0BTw00oG2qurhMevzCKF3P16vQkP55IEt/lRC09hmSf3pvn\nv1KGsugtwblsrGQf9avXnEWzH4JM6gDCMZVxVKtJfnN2Rkxzk22pTv7lJX/RPLsWr//klFnau5mk\nRvnuln9+1+2DnNiz2pWl+xdaKFJrlTIHkAbWblby1rIWm+trbVjaxUPZZdw5t+JFzjuqH0odznl+\nQZhcIi8WEmZXIn2JIvSFNQuSXJ80buqLi5QeDodaWvKjUTa5Sw1XFibRLKGxYCjk5RXVBa2Wi4zN\n9TWa65ukmy3Ss1IT5wdT2YY87vWbc8ZikyepOrz7QH0BRp2o3gmPcTIY6W7yxjV5aKoqIt8Hv7OT\nPC1Ho1TDHQxMaS6RTQC0jD/0XHgRCrskTkYRq9fzDPNd+rxuZwCu10dzk/cQIptIuF56VsoSoDy3\npAtEUgau16cy2GSi0Sb9KGnH1Hxvw+6Ma7drRYzJ9wStIfIPKpQ1GJCUwGCgkhuiPCoEHzvx+L1d\nItvdkdIofIKRUkltDfQoSGouLhInoddPGvjDIckwcB9DRbBmM2y+84Lq/myEQybYxphluYQg0jYv\nXlK2Mk1oMtFEl4CKnk+vYxbrhuQihB/B7xPtvFZNJr2fjFfXRTI2xpO2SX26l6+yewoUREXn0jhy\nkFd95Tn9nUtIOk68z813XiQ9+4fU6JVj2EDk0ax9y/bBlWLGYTfu+xMgRhz5ZziZ/3OId3cMj2o6\nqeRSC22Wy/QyWuZWaUQBpNWd6dJAG2cs6BtJV8PhgeJgLclJJuNweNDypVSaPMsKVE9O0Vxcorm/\nV7q+duqNrnXmGI+E53chUGQ1Jvdy1V1nCnO8u28jUooyz7ugFLL67mNU9uxA2/G8cbOmVP92qXwA\n1PXWUkj2e7OYl2xZ+0wo3HRnBy74JEPwlmssywEaQNS1emwCeVlKWbeGDen6ffijA2y+/WmLR6BS\nuNMJ6sUNxF+1ZPLKOFYnR0ot1+EVqrutrRurOCJqXSU0RVmCZPtF16vQ3K4Qjg9JCqH4XlZOZHRH\nhuaZTZNfq+1nGV1/Qe0ossnIEWdsYIP8UMRUUbcHoFaGLoS0KOnABM3KVSZC7m1h15hF+8ImbmLe\ne+jYMvKSSDXwnFSW3NTX1rBSu9jQpZVjyYk5i1/gde81eZ7iDMt4/eWusX/T/VgLOgSw2iBIEa65\nuk4sRKRJWJiOsW5o9TcvD4B8QRCfz+FQjRLEmV1hUEIesuQQqefx7x6DhvnJRBmq5aZNSrnRWybQ\n1rHNw9RV/xSonS485fYIHV+PAWyt/WVNadPP0M8LyQIZh8dMtR9dbGR/7DavNHmuB0vj1h5LSgul\nNIOtG4tIlpgOy6TQGicfUD09VSOILGgooLOd41U23RkJ1Zxf6jm06OnmGSuNOxCbVgCjAY6BDIoh\neuY0VHxf6/elXj8eqXXbpqIl/3U8a12EQTsO27SI3nXT49sFQqC1HWMn9wreZQQgOyFbyLLVgJH5\nRevoxpQFaD/jnebkcg6zGUTSwg+HpCn1CDnrfWvsH+zEXm6PiVq9rUmm++hq1Dyi6QAUGhKPYMoV\nk26xzgYhQjZ1gcSG7KT3yCQrUWAm/mWx3l24bHOOb2u+luihcnItx2Zbc3bbfvUcGNVQblmG1CVu\ntuXeZM3dLfckS5Pf0jizv7G4fItW2vZ8ldonBAG9z65FfGUz8Srg7QtseS3Fb6Se/hiDNBNQM1vL\n9ec9mKhd96WzYb4lEu3cZ8mYhcGCj4ak3ikZrcmUyvOiwzq1prNGMVnGL7+xCCOLITcLlT6n5nrc\neIzm4qKNunuf582wmN829l/+5qlLEbrdFA4ojEJhec3nnS+d4Kq7NqlPS7SZHZ4fDqkRYjRUDKyk\n+WWjULDzhEdn7WvnyDKNGzbN7a3evOzhKtJNuQ75nvgkuh6x7zyzQF2vn+H1dZzMJGfro7LZRql0\n7yVClOhWr2s6SX6p43Eyc7aMP67Nu15f64yyX/U9lSiobODK58xqTD2Gvu4HSDXz5Om5yffBm77Y\nXMqyZTj53JYU5Hjy97jZZH0NRagczFON3IwpYZ4bZhnS9TfLZT7h8CSjMhHcCwonx8lYQaRzDRNW\nxlV8dWXRCfvp3fB7uyqpUX38UX494CiTz9tPJqw/zk3xu/uMVyAEGbmPYW9XG9OiNS5jHNck3iX3\ngyLgpHGkY8sNUsRIpRLzrtl7JVuYzymDGpAGf31xgbhZo76+JpnoQfI/FdgiXJL4RU19LwU6GOcx\n4UTImNJ93U/9NmNpCSCTE9BJV8aKPXszxJCUrthURPtdBSdHew7zOdBEMmYpxqYEAZTzzbtsX5qI\nHWjXioHHI3mgI3osVs8MF99VHzaY3nTQt0OUmh/5w/D/x6+ZHbE2hdWgGAxSqUj+nbHIZSqo519E\nv6JHAfCEJ/odxW+VKVnggMvJbmv5xaaq/N1OjZYCdlYyhDvvQZmuF2WILgXJ6qtfweZbn3Sea3bO\n78CM3HrdtqRkoHxuRFrp37Xtm41KbT3ZlH7ehUnbOkYR2NjSkh8OiWQDKERT2b/GF9fyE+iHabGW\nrfTh1eHqehe3vVcdfZP8C+Zes7CZSkxLn4bZuIrBF6VMC6fsyLqy/T+SsWTv52PX7pJXcOs+lX2O\n0sYydnuk2i0c7OOXXv/NL3nEDuiKpQxDiQQfHrJ/F2cZRQmYf9P/Sy3SJ/qwjWy0zNJnlp5EUSzI\nLzC1bBNo1SPn3/u1/y/7SKBS9SLZXRFjka9JGJkvXxFG3l4D/1mi31ZW0UQ1Q7ARWHbKN7e58JlE\nYNa9XiIul9zlFS1zfw91LWJ2nkSfttsP8EsbIyljrtPEQn9I90ciVakt6mSi8sJkoKLjLy/6k1Ns\nvvUJZU/DoUaj2eaDprllptDKHoqJR6PlowP4g32a+Pp9tngj1yVhsQJEVnnblpdSGgj8rr65RfX0\niZqqAICfjDVCp/Hs0MKRczXXndHo78h1TI4Za9PkYyMJZf/e3qb6NLOtqclZZc+/wHAFsaX3i59T\n0TDPIJB2UjOoLDGaaU3qTrRderofQak1d3fKHCV9ISH6bNhNivkH92lxk/q/PHcaMe/tAQCqk+O2\nBaXJUvW0BBIbGy3zyPkpNFeIg8yQFhhuBg22xK3dGTG6WWqjBWu0iLT33D68id05VCfHgA+orxbZ\nA2obRm4w4AEZZZFkONgnaJxgT+XmKDRLxPTziSDGyBrbPRUiinWjMrkCIxSYWrLCKyYNPqa9gdVH\nz7WMI7A1xZhvKesA/KIIjtdSlxmDX5+RqJEwP2XT0gWn0yR1mp+ndOMVLcB1YEmdRZq4hReOUfHj\njThFcWNTxteJ6uBDom9LhKOTRAjJOYnHvywdNctlp3n55jsv6KFfk9elyOLqZko7zXKpUDy7+PjR\n0EzgR9nLHFer5PS0XCVGKgj77gYDgkqC68Bnb1rpc2vzZKEGfs4Efue8Q7y+UXlZV1WJaawY8yaT\nlBCYqX1Wsk3w5IrM4gYv0+Bb7M3xOC2yFxdoLi6o/OhEFI9s7hTPLos0v1N+OtVrFBu86msfa+bm\nqkodtgBaIFSGtxRiM+SwcHSQhL/43tnnVsl9Yi7DpT83YJ5Aj6SSm5tbiOevCNqJBzK5H63ovQ5B\nren8eEylIEuyiuTYFeZzKpFyz2tr1YPnDYHH2ndUoJr1m3NC262S962WqULIJU3eY/vgSjHioATk\n6WtnU0ro6sbrEUAORSz2Y+Fn1i2l3LpKNBnkqYTkibJe0TRrNfYMOzbszxP0cTpl9AxPdgZ14Aak\nAe33dhG5Vt+Vvll1vy6Ug6TczfVNyzjDnhvpiwwzIwIdF2MyQDsNz6QuAAAgAElEQVRlwSRuZnXJ\nLL/ztiVtF83zTAK4kI/4bo+jqbp9RoqmbkYTf1dBq46Uu3r+TKGT0szLJixzXl3lJ3WlEmMJc+8s\nIons+toSC+nLqfyApoH4A5TjY9mtel0la7sck0JASw06tknqCppHynFyX6vcgKbr/d92XeW2FbHk\nkhtXCTd97Di2fGbLNX5MJuxoGoVtihyDqyqSMS6d1zo2e60yX33pm6eR69C2Ww1Am1ISAWjzsGiM\nAGASA7M+nUsRlw8Mg0ywJSEayCaSpbLg+X4vNe0e1tRYsummpI7DQatEY9NVZdHxCxUfHkhcv9fT\ndIzEySr44SDR15dLjRzqszO9ZiUQ2bFjeVQ/HCjsU66NsPK3cL1kyq04X6TyCQDGOd9mZR848jBt\nFjdww0G6niYhgUSgTWSLbWM1E99iiVvbfCPW4ZT+zKU1+U2zXFIUPRyqkJWreq3maJY92UadlDQk\nnRaZVW4+0j/61DgzBKQwnWSLmJTq5Lq0oSdNX8eKl4zdlnF1VYX6Zco+/JSJXQ+sT85jqfdS7p8a\nbwfNTprlEuGUx9I8A8KiLid1kVu2WZc8WyTCZiQHJhO9f+Snuk7/NiTDFMvAFPaqWEaWE2LKPpMW\nks0CpPzUgkSyZ6pkDmVTWq/buZT1dtS3qTTTXvirZ0+JYXtynPpByMtqZVYtgI16sUAQX9n7+5Qt\nOkd4eI743XxXM3UyWHmd3htTAvVj8iOWUlezXGpzONZN69zfZfvgJnahaccmsi5Ijn1u2MVGiA5u\nONDae5jPqdxhXljX7ys+WBxRVN3NYJsBauIpq7Bp6EUPQSMJP5sSY5IfMn1puUQT5nO4YTK7DSfH\nSo8G+CYx406QAvHuHnF1p5Awacplwmcnx1nZRyI5YccpixFI9ULQYuP6NPkIo1RILzJBiW4LiVHN\nOIpPVmxSp3aB0lYXfHKleVgrgsEPB2hubtDckduPSCb4yUQp7Ar9nNEEFJcrFeZqbm/p+vleNitC\nkoAX6NiQG5C6Xq0fMqifqypTmw9ZXVoCBEmnw8kxRVYuPf5xncyiVZvIudSDmUxowVvdaTovvyGd\nl4bo/jEics+DIHJS5/bwsykEcVJfXNDkf3RAbFshqvDCYM9dJzVmbAJIkX/fIKhubujapQfFi5d4\n5rrBIDM0B4DwB76eyEJHR7RQeg/0ehAnMJnQSMkzlRldj5VRfUB9fqHlKXk+w2ym76SfjHWREKVE\nUaKknTG6hY8nTkj12ZlCDKW/Q85JpCNPfIU1+QTYQMeTsFxcP6idnZ9MEA4PKIJ/+YogqCzdIFvD\nwAXad5PKJ1JyYVBDfXNLhMFeP/2+rnUibpZLNK+p9ERBGKGEmttbkiWR3pMoZt7RcySZhYxxc3PT\nyRh/2/bBlWLGbhr3QS/eYX2Mk9HXc3o5oDdaBJJE8xjgdDVGKnMsrhU/K67trpcUC+vzC+2Mh709\nuOFAraxEAyQ2Makw8r49mzeoDrRzFHXzb9xkTAJOHF2LCJI8FHCOJogQSMwqGsW+6STXuTasOjed\nAJtNJxGk+ug5vexmbOhHRSrPx1IJXoPR9aORik01qxXpRLNyoeqdCFZ7uVSFu5LIYTHximRgyQNB\nD4T9PRW5qk5P1OINQKZt70fDZObNixMA9RyV5qwu8MwStgQcv7eLeH0NsbADa6m4wYA0Pcz4oNcD\nmgbiDarHG6QAQhRFAZpQq4+e0z42ZDzdLKhkVHOtulksWlGjde4R0wwZLzl/FZ0zyKBweKAKkplD\nkykrkPnFTZJb4OdIzdaFdT0aZsbUUh5qGVYXm2WUZkgcw/JU/fLY0KI2IhJOXK5oAeL3Tj12DZvX\n7+0iXi3YlvKODLjne0m3nvtwcbNpoV/E3rFZ3WlvRcbV9fuqlWPLtMJBaW5vaeGLEZsXL1XELxzs\n6zup94NLRahrWggbUpp14xE/q3fwsylluKzv0yVKGA721S/Zvq9hbxcvF/8YZ/VncP0+3qy/wLJZ\nfIkJSv4g/mD1L+nkK43RbQQAGWhxfKcX6hJi9FxfLbJJt6xlAmAtjcOMWWjJQeWLoLVzU4t0o1F6\nYIHsBRQEiDj4lLVtYcG+rS4aDg9bzUQp63SyPO11Fn8m38w2Kw7etViS217ubTBTeYnEDsxO0tZJ\nvlRv7DrvUvBJ6+BioMILn9ae61obXy1YYYdDfAmH09r3aKTZifQNwv6c9U6SjEW9WFC5gBtpzeVV\nqktLuSF4NItrwn8fzAnlYcgucu4ZS1TGXiRhO7Yuy8Cuvo4yMZmJKvV59fEUFm7XM2FZxnbcCmKW\nfIb1uiXxmyFjmLSXMcVlUi5q4aUJuEophJCpeUp9XhfzwQBhvkcG9I4kp638R9jfI4mP2EC0a1oE\nMBOIxTV71vb7WSBgnx/7d8++r+qxcLvUe2t7B109LvGMBaCoobC3i1+++l9xVb/+8tbYJZUNT6l8\nUT19Qp+LMiLXG8UEIEqEulwiru64XBDoxRyNaLK8ulaUi24+GTDE+3tsPvuc6/dGc4KjQVL1u9eX\nSB/cpk4EEk7DZWuub9IkzUiIqFFeqlvKscLuLBNEaqEsYgS4QeMnk0Sa4kjPkjfUuEEyBP4zfGA8\ne53pVqRjpPGRWqM1gXBVpWm5wCQlRYYPqR9yd6cNtubmhiZ67/SY0pTVl0mQM0y2EYiYH48VheAG\nA7qnXPKCYLJNDTyuqb4vWUX15ETr4I1ZrDIxJ4kWFctPPZm4WqnBdL1YIK43WsaS3oBMOPH6mp6N\nhzVN6lzW8sMBcH9PglbLJZduuOzBfRo3HtM4XV8rSUg2PxgoYadz60DiSPRukVeqf79e63mopryg\nrvb3EjBATyAkSOsglfVkn9ILU8TQ9XWuqjqZaLapPaM350TF54hf6+c+qJuZwvwWC80mqyenFBQI\ntNAsFmK0oQJa9/eI67VOoFrC4z5G/eachN4YiWWFvAQG6YcEiaagaU3Z+cWFBn32+QGg0NtmtcLm\ns8+p1HZ5RaUelqGWc5T3wBqCaBmJS47N3R0tXqASbmzer9b+4UXsbj/+4PBPtogBANeF+z01cW5t\nlthioHYAPZh+OmlFOBZJUj05IWF/wbuzUJMfDVVPXdKtUjemRNt0nZecB4BMPKorE2l1zT0bCVdV\nLnFgxMTsOatQGV+zmjhz9tCs7qguzlGETb+tfsdjKJDSDnDr5kPL/CG7B6Zso7A1QWpIalqOR4mK\neewcHhnbTtJbobHiqkqvNcuMGL2gglAlxd3qutj3zKKPCitD8tu8zFRI9XgiAsaMRn2WC7KNHW+C\n25lMkqNiKaNpptJ1n+XZttIYRjqj+ug5SUywveOjJCpH2vVWW6VTR8Yl/Z2WvpBkxpx9lA3ixwhj\nZYnQ9fr6XrckL8qqgIAAOIMrtYdcVZFulZ2XbNZZZFFKFhMgRYFwKrdwsI9fevM3sWi+xKgYAAhH\nh50X2iyX1LizZYxeXyMofbFCx0veREqPemzJdXiQHmpPSInmzTnCwTxrUrp+jyYBTtea1QpxSbXe\nMJspKkOiO1GykwgAzmmtL8xmUDIROFtoYoaLlk2cegCOBkZDmjwGuXSxn04TjpYRKlanu379RrHL\nRCTq0cvS1KkEwbVKaQZLTRfIo9ssmpxMFOuucgBms5Zh2vjzJusC0jhvUmYk//eDgdZsrVMUAIXh\nyT2iPzQZgifbYszwwGXEnv3GOY2e7fnVRhck+y2Po1XmTMdZK3HF7+zofauEWMZkF4vmkagw1rU2\n3TUi5oi6ub7W5ps0HOU6s/0AOuFKRFhfXMCPx9h88hk35LlpaRrJivyRgOXlK3pnTo6p58IN4M2n\nn2lmVmqV2/tP9nMRzc1tdr2Z8fzerhpGZ9hx2QdzMpqbG5rEpcfADVXrg6DHNH+Wpqlcp+OgRib1\nEh2mmSiogUmqqanHA6RgkbwB0uScNfIB+JMci069B3lnUySevTPy2ZAUW4F3ntPpd+/17X9KW3Nl\nGJJMyADSxCLsNomIYNEh0tAAshfcSR22RxFvvLmFED80hdtsEO8JbSGTsdSEJb0Px0eKNRdfQ0WQ\niJvKYkG49Bj1JRWERdK1ISs1r7W7JDMgC4O+nFyPJiRJUv8TbHeGvzXXbWGgpQpkmJP+ieJv+frV\njxVpQlGstZRvqgoZ6w9QfRjduNYtBJP68iqVegrkh+xT4YE8hlLuIbTNXTJG4bFQffadHRVGyyY6\nfmZcVSEyPNSihigL4lLE3h5dr/yWI8zE/qTz02ewg3mclXSkr9Ij9IaN9jcvXtK1cplL6PH6O4Y5\nRqt5IvdWmr431Oirjg+zc6DgIfUn5NlQb9qdHc0gItfb0dTaXyDNdypPVM+f6XPZrO6oNt6rgF6v\n1cC3GZ7AcaVMoyUrlTdIE3B9eUXM18sr6kNIyUIa9cMh9RIuryDGKfKd5u6eSXUVnHPUoFU9Kaf3\nuF4sUL9+o++r61HfJzaRAghWB1U/ZSYr2Sworh/aC05dA84rek/LhEYfHwDi8i6D+4bphN5zfjek\n3BXvEsMXgGoQCZrrfbYPcmK3W3O7JOyyJ110QnQwpn00pJtsXr54fw/PIlye3YVcr0+d9cMDqOmw\np1poZINs+JAiM6m78cuk2PHlEs35JWFMnYPbnfEE2dPj629sE1TIIECWDdTnl5mTkjw0LWKQ8zTR\nmaaL61XJkUkiaYkSBKfMzFU/mdA4iUkIkEWg1m+1vryiBchooZSRatxs0vUJNBC5Q0yzWmVRto4D\nyxj7aW4uETebZAQhX39YMxaf+x7sWiUTuPY87FgLl0CkIwBq0tWMdOGsTVJxuSf15SU1yeQ3MdIY\nCeFrNMpKQdKvUeE2QyhyvT4xn72nxuntihaKoyPtkVhSUCaIxYxTPx4nWzbQZChG5iIfsfnOC3oX\neDGQAETPkVmy8u/xYZ0FAq7qZQtDZHlpXYA++zyxrUXv/P6eJiBnnLyALBjwsx29p63NB32f6LqG\nymMQGHBWw2YzCoCCiOb2NiGhehWXU1aUnUo235AjlZRDqieneW1bsqGGrrdZrTQLkPNWn1uTSYe9\n3TYx6/4+cWYC9QnQRIWp+vGYEHRPTrScVd/cUpP07p6ybU8cEWLbHlG/zpHkg3oPv+f24U3sjhsz\nHL35yRhujxpRbpgaJ2FvF+hVcFUP9dkZYYd5Mm7OL9KNWhPkimqOlxCHHiXkNDX8ZIwwm+anUVUQ\n+rRioE1TBzECh4IqSKmnn4xbmg+iAyJlC/18Oklqi87RA+sDwKSUpGb4gOr5M4T5nv5WmKHUsLnb\nql2jDzSXaWTylUlCFxrWg08DUKheljoW5vNMb0ZLGjRBqfQpu9GLNr36VpqXHIBir/X8jRRsiTXP\nlAFPj1NzNyT2o9+fM8N4BLczpXHYrPU5IIJOrXXd7MVlhULAPJOBdGYk8tM6N7vQS3TXvDnPa/Ix\nKsGsWdFiLmVE1+8nQTXWQRHWs9D1RWpAGqyq0nh9TedeN1wSSlmRykhzeU3OuXr2lL4yHJC4lqhL\nztO4y72VyFnRSvw7OJ9b+fFEWC8WihwCoJOmckVYokN9E3gBbW5vER/WRNSRSZ8bqaprJGQ0eYea\nSNpLse13q9pJQGZYIguQ6M8IaTA+PGR8EAEPaNMVSfExzOdU2uuR0Ulq+jN0+iBlrmLGUX/xItNn\nql+fK8+kfvkK9QVb6XkHN50o/+YxqfDHtg9uYncsNBUFj+wc6k8/527+RgkP9eUVSWfyw6raHdNJ\nNik1rL+BKtGchbAkE8jmxcvspgFchnCefBrrGmE+Jx/G3R399/gt8gB14xHQNAjPngDrtUY34ida\nX15RtiGRlSAEBMXDNWM/HCDMaRHwuzOFcMEHbL54oTdfGjUS+clkUOpKCCZaP5fojxe9WJasmkYJ\nIH6Q2K+k++2T6BhSyq2ToSkhdG314kYjQhn35vqaarPiTH+wn6X5lLm00QCZYJjUQV+eEaHl5pYn\nCVoMNp9+Rov9za1GTLSTXN5WS1R2UWFNHjk3RWnI74w+jev3CLdutE0kHRdZVjcYUB2ZLfRcv0dR\n2cVF2pdEtFWlwUaYzzVyk2dXSh3E+Ew+nrFuuCczQjg+yqwSKXh4INckHn85HsBiU4xuKsfEj8eU\n4XgyfkdTc82a9FBUn0hq21Kzj5HeD+dpDF+/Tosl16alxOZ3Z9i8PMuyZVmUqtOTlAEyeSyuH1QO\n2O/stOS+5VkWVqwfj4F+j4I5/r6wwz17K0sWF5fGoMMGYKDMtD470+xRggl44iRsXrzUspYCJO7v\n1VbQOQc/GdGitF6nf3cOzfmllo3qxQIIIXsm33X7IFExnbK9hmCRYWs5pa45chGykpUfjZs1XNVD\nOD4EvMfm088oih4Otd5ZLxYZ3tcN+sDDGm53hubNOUVCzMqTB0xe/Hh3Tyk34+nrxSIzOLA6MoJS\n8EzEsJGDogWk5lY3yQmmqLOFg33FJAsZw4/HWndvDV+x8gv5aptcrcUIi7ZM+vG7yci2ZIe36LpY\nPO82DY2W3gejJ6Qc12U7Zok+rXMT5BSoxu2nifkLQBmx2RjxM+iC1x6DZk2GTGSJWDqO1rjh8AAN\ns6sRG4S9PW1qup0pOSt1gAfCfA5UlXIZWkiWAhkkkXJLlnrLnxXnXhjGANDypQpvFVwOOV4XMqUL\nn17e48zVqNTMWW8UwVWOpTXdyI4viB7xv72npm/mkFZseh8FV39yTBkm22HKd6SMVhIBJbisL6/y\na96G2HKFbScvml3v75feQWnsd+K+P4WrKhzc7+N4+DV62JpIqWJVkbStEeTSplcIVLdaP6hYlXiW\n2pdb9J1VCEzIFozVlX0AoJfUu3yC6LpRjIG16beryFhBGJay6YNzmDxUHxMnE69KhbqNR8DDmgSG\nmLmZkV66BJc6SFnx/j4Rfcznna48Ii4lmHDVlUlwOQDZgvsYhOu72VT1TxZiFkjrglEK8cfvTEmh\nsQNS9hhE7jGNbFkUhdAT9nYp+uKGroUhSmOui0zUfeCgZSZZoEpHp04obEEuUhKVkJAYqVJfXCT/\nUC4/aRBUJbtIu0lESrj3BO0sG/J6bH6Pmuvr7Lqrj54jXpmsh7MtbRCarXr2lBBd/O5bO0jL/nxs\nYdN9ffUraN5c0ELdUffvfFbddtu+DHZpfXANAsnes4xAyPcqPqx5rNl6U8bJXMPr3mucPXwbcA7n\n8SWW8ebLO7HP3H78odG/Qn/hBieamKj3POnoZMab6FaUzLlMHsBgpS1ethUhMHW7ueIX27Axyxe0\n7PzL5odkFVaek5j6uuDzKFzOQRaSfn/rpGO/L1rhj/muvgsWvTTULo9jmYKCPLKs0ewayj8X+xEc\nsSCKpCFoz7FcYMLBPuqLq5a5h5gqeJ5MrIXZo8qPBauz67va1ORIT49pF0Np0H30HM35RXYv7AIk\n+yuVEQFoVtklYiUlj/rios32FYy/GGZwFiICUlK+oQm7Ia0bC+8sjqe4++JZed9F+rutC2f7YEPy\n5naVvX/flZpntuMiwHns2iRQktJpEdhJf6lZrVKgw81m6UmEowM0b86TVAjrFr31nZUAj7OuX7r6\nW19udUcAyrxSjOxkRPU4Rmq4Xp9KKFLzdS4pEgLaXCKBHsKeehEo4q572J3Ry2RITQBFD37I0rYM\ncQpPT7WJKiJhYW+XSibOqxqgMj9ZjkDRNbz5yURhfLFuEA4PEw5fIqCmTsJPni225Nxsd7yp9QFS\n+rwPmnrquQhTr9i0uSVR6XrdOalLtmKdkJxzSqnPMOz29y0eQWLe0R9YY5yFkSylW3Hr7EgPcP03\nNoibNcLJcarTX16RZMTdHU2iUudnFFVm/MB9gOqrX8kn9UIB0FVUAweXJKTMolDMs7NU4+eJtzl7\nrfdCDWL4mM0dLYb11QLx4SG7n1qmMxkQQFGmwAKljquaJxxMiE2iGmbc3SFMJ1kvIG422jhtVqus\ndg0YRBWg0bs2Ork3owswo42ANIGVTXU/HsMf7KN6/gxdm60Xa9P2e76WviD9nnVCuSioACBFRuM3\n0NJz79jE9IJ07JP2vFybn0yycVBeDG/N3Z1CGMnSTmwcCfAgePpwckzBiMxD/Z6+K2BYdfXsKT3z\njMO3x5VFGD6k93O5zNRG33X7ICP2b7ofyyLqTgd0I1xkreWAFC37yUhXSSA1TSWNaq3+zhhFG0Ej\nOKfMTRs1dbmhZ6xJoJVaA9C0TaQPtqX8Ult3ISFldJUvo1IzHor/tiJkcokmjXyf7VG3+S2bXnNH\nimzv6dtYg2Xts/NYg0Erss6/0I5QOzV1zDEtv0E/7+gbaPbylk1LgL2+9mSyTIbr+bpPqx9kM8zv\ncmvVprcwdqWZ3ypdWd0eew1dPRefuCCtfXVEzaQS6dt6OTDZmjWB37IvAJ219ux8t42PlK063hm7\n+FbPnmLz+RcJmWQy3awfJotUjG993h/LqoHfD2bWvHlGXLjBAPXiJqFJlNHpFVkAkPaGH4+Z5k0R\nSmT9apEqRa+iEouI7JQpsUzqwvQTfHdMrjOCDRf4GQDVIRFnpWy/EqmuU6QmEDTBg6tOOJBMh7WO\nSMQq1LU+dLSTqEL+8nf6f6MpP3zoTFsz1cJ3xMg+OqkzSqG1Gdcqq2ntqirDaKtqYtXWnwGQ6qkF\nLl503QFoZK2ft87Pt86xWd0pnlk21VdhPHcn21TOlWF7j07qJsKV0qHK9ALp+TBNWt1njCQHACiM\ncqtuTHlYo7mSCGaJOSk1dUGBZCijEBT9lV27eW7kGgTiqcc10EQl9pX7MvwF3dftbYvxK1v95jzT\nAAJSFK5lQj53PxxmEFqFcHqXsV4zspk0mbmBnTFexfDa6kAJauv6msZEnKRMABLmcyKgcYVABMgA\nKOrJbrH5vQ2wP9iJXdNfZpRROsOQMIb4NXckfSusTieuP7IPo0Huqgr1m3NsXr1uIQcAZLT1ZrlU\nMpTdVADp7o6iKSvwz/ArnZwkzTJEGftg2RRWWG5SWmmWS5UJyGjKyCfierGgqF8+MyQrOmC7kdQi\nGxlPWIDT0HKSdi6lvx1WXWF/jyZOH/IXdpN00FUAzE6E8rIIRNL51Izqp1KSfMcKkgFQSWYgjacf\nDonJZyeHpiZYnImiyA5vnOG46Zxzm0ExzxD7PGUTNvGdkEEy8ZQwUMs70JKWubduMFAcvZ9MkgHM\n2vQh7DNUlESa20Ry08yDWcaS7uuE5VPfwnO0um0hL48j0sN6XBVke0jYdt5XRjyyvYJiIrcom/L7\nKoNx32EmztDIMJ/ru1y/Odfv+8kkZUcGSdWwNZ4uGspeDW1tqY57qWW0vqg53lKjVhYIDkL1WZXs\nzEJuTdlRJBZEwO672T68id05pbvbWjtCYJehvr5srqpSqQJAfXGl2hMANAWysgHZpG7o5c31NcLh\nYYJHsQmAIGwAaOMwzGak9y5qfJ6MHUSuVmpuYLhbFjWzZoowXklXoiGcrikZCYFDmZmxMB7hBSNu\nNjoxyiKX1TEnE50kOvGwPHGIa5MIhlWnJ1kqqS/p2VmrrhlZWx5NraUNjXyLZrZGioWHKwCK7Jil\nK9GY6p4/PMCNhgmrbFJ9PxzqouqmE9SvXms5SlQvdVGVyY4jRMBkZnyt9u9x/ZDIRbe3cCXLl4+h\nOGlAMy69B/O5sjFtFqIsYCMnLN8hgg3d8/iwTgYpQ8ru3GBAxh3y/bJEY7DamdKjqIFyH8KfHue9\nhqIJKIuACmEJJl9o77MZrPF0ODpSGQXRd9GsapPq0To2ZsKTc5DPVaCu0FAJJ0fqbWzx5ZZV7Uej\nRMKLDQUsdY3q448yCYFwdKQLQrNcwk0mCAdzhNkUzrvkDMVbbGLKHIsASN/fvV3F3gMgt6xJyjTi\nZpPKVKB3NK4fDIjhFs3NLcLhfiqXvef21ondOXfqnPs559w/MJ/tO+f+W+fcn3fO/bxz7sT8259z\nzv20c+6/ds796+bz73PO/XXn3F9wzv2sc667BhBj6sybRo+uuABFZCyPqpoSOzsI813VnpCHur68\nItahiXjVmNrRjXO9viIdmtUdqufPSOO7bqjRBiRbt+kEbr6L+uIqwSxZ3sBNST5YkQ+edCTCH/h6\nMtne2UE4omap6FXEzSZFNYMB3HikCAerzyKpNKW/jZIvxC5O9DGELUfu7J4gfw8Pqb5qGZuzmVKi\nJYKrb26JBi0TFTuoW5tCaTj5nR1VyJOFQ/C8fjJJlHuZIIZDhGdP4A/mWUTix8kv0o1Sfdvv7aZ0\n39RfPbP24EPSKRkMCB/OpCmBiRLuPOiiGo5I70edaXyAn4x4v7SYyqTZilBZA16fayaXhPkuhPWp\nlnP8+/rsLBHROmCyxLCeZGJuFK03xLyt6wwoIO9Ds7hJY9Hrk+GH2eIDuQc1D8S0lahfFkI0NepP\nv0jfl3GbE1sXRmEyqj7SWstCAOsiiebJcIj69WvVPhenLTSklVQ9OaVnR4Kj2SxHmsA0aiUIcR7N\nzQ0L2FFTu7laoGZm7+bFS3VbAzdzxUFNFiHVgJqMEW9uUS8WXIJrEO/uKBtjklR9doa4XpPH8HRC\ni+ucMsBwsE+ZX69Hiw3fL9vEDSfHQBNRPXuqDmfN9bXaaoLFykS3SoI42aSpSnPCefcz8w7bW5un\nzrk/DeAewH8SY/x+/uyvAfjfY4x/wzn3rwH4N2OMf8Y5903+3p/kifu3AHw/gAWAXwfw4zHGF865\nnwHwmzHGny+PN3P78Yf3/zShCyzI3xmjCcaM1xcXpP9icOIKa9zZgZjKAsjcfqjLniBUUoaxAyzG\nz/X5pQ6snI86qxizB3kZ7T6q0xPSJhkOc6y4bSqKFDC7uyjbUYT5DewJgOLf7TWH+bwtKVs477ge\n2Qi6QT9Ls1uSopNJjrFl9xutFZoGskA35WVUmzbRTOEykcIQ5RhlA7Iypib8b+JmVEqlvguZSfZH\nvpnmvnqSPpaAwErQWnSUhaHK2EoDUAlo5tjWbNuOqZDXAJtsZKEAACAASURBVJAcxt09SuieQjrN\neAn5SbLUd4UP6rgKTM+QisrztbBQbRTzvVaRrS4jFf6NvE/ZPxkst56TBRuI7HDH9Vg4Mno9um8P\nDwRjnU5YnM+Tnd6EpaitFLTcPx5zeX7FBazV3ARaxjbV6Ym6NIWTYxIKLMbBkg3tJu+kmOkA0JKQ\nBJrN7ZKdv3rtUhTPH67fp75KYbDyT4Sg5Jz7UQB/xUzsnwL44Rjjp865fQC/HWPcd879NICHGONP\n8/d+AcDPAfgNAL8YY/wGf/4TAH4yxvgT5bEUFdNBqHH9fupAm4dyG4kgbpL7uLxEGVFlC4PS7tPW\nuDqxtDJZGBKC2F1ZUtPbOuGd+FyLtZZzles2xAe7UJQ4761biTnnSdz+PsP4drAas+vhcbDNxXB4\nkLgGAleT78j1FPtVxEGpU20m3lg33bhvswkJx35nG6GmNTTjMZVcvMtlCLZtpmTV+c/bsNIF0sU+\nA6SZv4Kreorm0ACk1D5/RyawRXfpR8zcFG0dG0y9K2a8E9EhC5XwC9h5SJFkdpJ/aENty0XqXbD0\n5aIPoBVQ6Hvq2UmJgxzlCgzJLU0zw8kEbjxm57T07Mo4loi9rgUvGyeDrsmIdlWF+vo6f14NUup9\nJ/b3lw2j7RiALHULAHOO0I9BUTrMvx0DODPft5+3tjXu8av4e0ANOM+kJADP4x/Es9XHCPNdxNul\nao5IRASkMosoF1p8cry/RwRUttSPhhotWaMLrcfKVtc5PFDScB/UCzWuN4q+2bx4qbLD2aRtEB3h\n6AiR9UzUwMF24jvYoPH+PvNeRJOIJFYKuIxqs5fOswHD1SI1kTbGdWiH5BjkpctepOLFazWuGqPv\nzvh90a23tG8dwwICKuOvOialRRx/XxAy2yYyyaaaxQ1JLF9e0Tizt6busiDj6Fjwy1/anW2FY9pI\n30Be1TBkkxYnzUYkio25mUwWOJjJW3Xqt0FUDXNRShK2tGczKNHl95NRKpUAiPdEv28MZrr1LG2Z\nXPX94XOR/yuqyESn8YGyOyn/tSZ1O+GaBYvgkC6Rf/jarCGPFaOTzBJIE6jr9/Q+Vk9OUubqkkR2\nl79yaUcpPSfX62eTuqsqbD75rDU+MvmLxIVwQBRpZ4KhT9f/GJ/jd+mHawAOQKR58X2273ZifwVg\nB8AlgBmAixjjxjknn8s24+9u+7y19d0QP4A/BjggHB4hLpfUtHIDxM291lSpAbJSETBNb7ieqhRr\n8+L5g32NBpvVHdXLQqDV+uyMa50jwE3UGFmNmJ0jfervvEgv4GQCd7viGq6Bs202WUlB9CkAaB2P\nBIju4VgEyI1G6hcp56IlBQANqMMfTo5Rn71hJmGfXKG4bAXvEEMSkZIXSyedplZ6eQRh6OP1tb4o\nNRNhSkKERlfbfE5N1G1ffEn3s9JDvwe33iA2NcLhPjbfeZHho1XewUZfOzuor5Neh12oyhQ7Sbw+\nIF7f0D2MUTX0ZSsnKCnfSTRpF2VV73PJ3k/PuRFt8BQMKKJpC1TSHx2kMpphMqd9kj2klc2wnIXq\nySnq84sU3Q+HqM8v6N4ZWJ0EAvI7nVjWD6gvC36BTyUERf4YzRhFexkWZrbgWR0jw3mwJUQARNOv\n6yIYydm/UgKxGZ1K7t4nQ2llQcu4m/36YZJYULIW17zhPKLAks0YhPmcFTLTYtGsVjoJx4ckv9By\ndzJZsx/0tAzqpxPEVVrw/eEBmovLdtbE9+fj/X8Bzy++nj03cFSKeZ/tu0XF/G0AP8R//iP89+xz\n51wPwPcC+D8B/A6AlXPutOM32RZBK1z17Cmt0MMBwskx/GhIdazlkqLu9QaIDelPrB+0Lik18WZF\nD57v91LkdE3Npma5pAam9wTt4hU51jU1X1khECFkPqTxjhpK0nTbfP4FNSy9R9ifI+wSWkY6+oKS\nEY1ltSnzVPv1/R5Z27HaYkZy2mwIGsgaOHoO1zfUsWdWYn2VJs94dw+3M01ReoEDz7amJrYpb4qx\nf6Cmms1MBFtc+qQqHM28GLo/kQSWiEuo7esN3HCA6msfJzlVcx7xjmvfdoG4udWXXI1I5LjOmHY4\nr/jkcHhA2ViTJocuaWP7mbrJr+60IeanE9VK0X7N6YnqoEhjOcxmiuYSkxEx1k4HozHdfOsTReug\nrrUxraqgs2le9hLpXlGyvLklkxbbIOdghViv/Gy8OadJiLHqyloVxcojYlj6nR31JgWQAwDkvmzo\nvgm+3zJUldkpeHkTxcq+BISgGbLs15Q005+Jc+B6fYT9Pd2/n0xoLmBmKAESkqxxVjby+dQWZjPt\nQ7nhgMaQETkikU39rWlS2hQdquen2vCUY4j+DwDTvxog7O+lTPr+HlhvSNsJ9B42rH/TVeIFEnzU\nDQb0PMmzUb0fMuZdmqc/AuDPAviXAfxVAD8DYATgvwTwbQDfAPDnY4wv+ft/DsCc//s7McZf4M+/\nD8C/x7/ZB/AfxBhbzI6ZP4g/NP5XaTBiRH1xlTUmpYYltViN1ld3Kq4Tnp6gOUsNQikR2KaFeEta\njQcbDeh3Std0jvK31V5L8Shb182afUVdtCsazvoHprZuSx76XfncChRt6T+8jen5tu9l12gbP4xq\n2dboy9iOIuokEVPRQ9Djsw6HHFNIWZaMZF+41rF40/KW6Vtoil7UiN9FhdJ+BgNdcyGkZp0wmbms\nIk3WslFfjqmt21ZPTlGfvQbQzgDkuho2RlEOgK3ldjAzH9288WE1v3W9viqndo2F1WAK+3MtC9VX\nC4UXZqUVbkJWT0+x+eJFvpCZjEmici3lmX6QTMpAR2lQxqerwV6chzS0W/dXiZCpd6TaQHxfpI+m\nrNWSbc1iYhIYVE9OSZwQIEXafl+9mLP+hnmu/M4Uv/T6b7yX5+kHKSnww4f/BrDeZJ17kTp1ffY3\nNCqM8pCEg31g/QA0USMDPxwSk25/rtrcfjiAGw3hxmP6DMgnFFsvNWbAtCLPqXwg3XXWnSa4WyQj\n4oL6XT17ivrlK/I3lSaVMQiW4yj7TYgK00k6lpWF3bIo6EQlKogMi6wZupiggrSfluLgI81kINUf\nA+P/rb4LALruuobrVQaT7RWdJKmp1HGlb6CTRVXB/bPfg+b//Ufm4AHh619B/M4rxZjLlqFyzPmH\nk2PE6xvtpYiBsmDC1THHKm7ymFQfPU/PBB+/rKHb8RIkS4wxKV/ytVnzaeJJ8DPM0Z8fDDgb4cZ1\nr2o3Ri3ag2UoZKya+/uszOV3pqkZaGSps2vkmnZLBtkcS/6fiYvZaxeW9HjcQo7ZRUWu36qPhm98\nFfVv/242iSqsdraDeHdHxDOWadAxZF17lT4+OiJtdzklA83sQufouUl9+/paETOSOZcBRdidJVVV\nq7Z6sI9mcUNIJ+PohaZmrslKyWDNakWT92wGMIS0vrxMzddiHtBzHSS5Yr8/x//16X//5ZYUcM7B\n9XoaSQnZIy5XKo7lR0OKSEUUf/1A6eeasNqRGzcA1Tv9/hz1CzbkPTpQZqm8wGFvVwlGAJICG2NQ\n/WiUGjV394kYVZFof/X0lFJJfhikiRPmc4T5nDKLfh/VkxMq1Uwm5B/JUgKCqQV4gneOkBBXrBEv\nL2+fBcM4cneDAZcCqmTGYFK8+uKCtKH3djNShdT8xcBaRZBk8WLmppQ9JAWn+uGAF1yflxmkEciE\nLBFla26XVKpibLTUhqWsUJ8nR6e42QDf/pxOUwSmmhrNp1+Q65BRehRFTcmE5Bz8ZEJN26ZRZI1M\nSvXVgl6W0SiLfgnXTqiTbFIH8hp6IZ3geYKWUlezXFIqz6l0Ikmx6QJLXLjRkMaCmcPV6QnpoKxz\n6no4PEhCYGwLqGUSC40FSHLi9Ru9J/XlFQnNFW5U2oQ2LmVS9tDmI2dgaj1o4bA7OxCrQjmmRtsi\nDsfnJBnw5tXrpKvyrU950mI3p9MTxZvLIuTMGFvdo7imHkGYzVCfnVEJhfHkbjDQUlNcbxD2U1lQ\nRc0OD0yWJv21XZXuEDJfXG/gp1PuV5BBiBsNk+H2eAw/GcHv79H5nBwj7M7oPTaosrje0LM6GtLc\ntFhQDzBGjcbtpC7CacK4l+vefPY5nH+/qfrDi9j9fvwmfizDYfvBgKBAQBYN22j6fTbFaj8Gn2Ly\nkjQ+HDukKMmnIsVDvQHWxEIejskYWK8ze7ey1BBrioykrATv4JwjNBBPwtWzp9h85yX8aAg/30Nc\nXNNqz5C+6ukTbL74jkYt0nSVydxPJ9QwYhq2RKUWkx1jJI9MA9HsiuBt2cLasz0GuSuRObbhqVLA\nW4TJSkGqzDxC7qeJRP1wqAQZONdCw1iMNwUJo6RPYksWjowTLOpBeibN/X0qr3QJ1D2yybMhKoyP\nflcgux1Cd0B3+c5+nkWP8plE6kVULtmPn03p3eCFw+rtS7mtXiz0d65HRjdl9iB67FKL97Mdkvaw\nTXHxGVguUZ0cA4M+Nt/+NI/mOdDRxu5kAn98yI3xRo1HsvtQlgeRl2osplwlNcy9L0si20xP6qtF\nEiZzRkBQILkCQeYsPfuz7MeWisrs0NzvL73Rxm44jN+s/rgOpiAABMOuXpYWa16kdVm6bm84p84W\n3mg3m8K19nNyrM42XaqF2qA12Plsk5tawP7kBQ97u5kSJRyZcWO9bu3XD4dkrsyiRdl5MoY+K5N0\npPb2HLdh6OVB1TqkPXeYunCJcTd171J3XYlNZiKwJaPsFOzEZnDryklgByktA4hq5vuoINqFVpi1\nknKbNLnLeGMbfjurI5vzeCdc+DvUxP3ODpUl2JihnCzs4hU3m6wsoc8QT24txx6zoHXVp98JT27e\no/L76o9gJ3hWbwxHB4hXC7idHUXDZUYWlkAo5UQpxzFpSO5JdXqC+s2FLkrbhNqkdFSaakjgVt6v\nbNIv9ytw4g4eQFb2ZDmMkmejKJ8mat1fylhfenXHGElul1LDPjYGXuj7PdUa0QbnbJbScdZgsZTv\n5nalKZqregoflFTNilZZhmVLB2K5Qnh6Qtob4m5vUlBBC1AtMNHQpaSjKnOyEEwmQGzgdqbUGxgM\nCOI2HtO1CJPR1A7RRC0DKTuzaTKkSM2i/mE2ozSc+xN0UAP9FPr/4QHQxFyPwwcqV/AE4Hjc0dSJ\nhg+o7yaA7PP4sKaGEQysMMYMflYiAVQuYTbTElMSC2t0sfXDoRp5oyYjcrlX8f4efkqIIVUCBTIt\nF1dVeq4yzuLdSaWjW70mgd0JaslupFdEr4/2RFgLXuUn+DkJhwcqhqYa5ELDl/rycEgLlk86LHr+\nLHkh5bfm+lr5Bi0tIh5rgBaoyLVj0UySc7JQzTCbJQ0Xk03aST3TGRI9JyMzYcXuwrMn2riNmzV5\nBYvAFmvIi1E8AGWRxptbytwuLgjhc3KcwRzlOAAIGeMcZRZr6j1Iic7v7OikDkCzWLup1ryoaJb4\ndQD+o6c6rwCEhqqvFvquxSaiOqU5wQ3IL7W+WiRrSw7C6HzO0xhabR6ezyys1I+S9v/mxctsPnvX\n7YOL2KUUIyWYWNeZtZ0KE4Hq52Vag16F+vxCV2BLyXeDAerLS5q0mIFm8cnVR8+x+fw7tDOZgCVS\ns9G+iZIsXl1LAHYrGZ4A/GSs1P5wcgxwKWLz8kzdbySilcawMEKzhqHNAmTyK9LzrHxQEk7kYTRO\n7I95QspmSS+aDUhqLzj4koAkv5XUfkv02mro+uQDGeZzymq2sGHLY7QQNx1bxuAtrquUtECkF7lZ\nXCvd/zHLO4sCyhjBssAaJJPlG4jfKpAjYbqyLAUOMFlO9m///jarRHlGRPFQo2Fj3djazzuibTK5\nCMPpsEqorqoIvltVHJhMFUgg/25LeeIwBiBZTBa+vJLlSfaWSXFLE9XcOyuz4KoerNuUlnwBanJz\ntK3eC1x2tWNs76Hf26VehCBqvvYxNr/77da1Wfy/HTfg94Ee+wYb/Fb8h/jN+1/Gy7vfzUsnAPx8\nDngPNyV7KSVOMGqAnHaiNrviw0MSm+IJUlmbPsCNR/owbz79DL7fU3d4NaquKoS9PV35w8E+nHMK\nvXODAdxkTOmriVwBYripS3qfH5jr6+R6w2JJzYIiKHEnl8axE1f16SQtIuzQ4ydjRZaE/TlEO14m\n6erJqToLKcNQXlKOIEm/hEhfjpUD5UUIsxkUJ86NwzCbqeKiNK3oQpigxBodefNwoP/300lLWAtI\nDS4xIpeGrutVmcKj58gzHB4k+VRuViqxhhU5A4+ZiJJ1ZReN8cEUlx2NeJncQ3jxPfjxWBt8Uj/O\nbBLlOln2VSeahnVLJCvi2rb4l1pGoqsq5UtoE58xzZaQZIEDYTpBfXlFjT0WjcqexZoXN58ko8P+\nnv5dnhENCEKgksn5JS0aR0c0KcvkxgRAGXslREl0K//xmMh1ink4wMCCZ0/oO/0+6qsFmusbamrW\nNakbnhyj+vpXtRwnYxcZ9abqqjEpLirHYjLS3kw4OuLIfkPZE4sAKjFsmPRxKDgaJYh0r08TdIyk\nGNnvpUWm1wOaiDCdtBbO5vqasuIQ0qQeG7qPl0mzR7gX9Js0vnGzwcvV7+C38H/jt+I/xAbvZ7Dy\nwUXsu9VR/OHjfwv1mwtCY4ja2Xqj5YPm8kohYlJbU0LIzhTxniQwM9cSEWQyNHJJzaVxKE3G+vIS\n4fCQvntzi0w7giM8AGnVNqmeeE5K3S9MJ4rmsRhz+bM8cBqR8wtstSoyz1SOMqRh6CfJJKD6+lex\n+Z1vafbQrO5SBOo8nQtjwLvqjtKohHeKfunCslfPn2Hz2efpnDhKlwbzo3VkEz2XEQqpO0ZtxrkQ\n4Gc7aBbXcOMRNesMnE6tCS8vWzVSjToLWJ+tzSqKqIlZFqHwxKMjNBcXyQSjqy8jDW9uFmrUbaCO\nLnhiPRoBNrl/mSsQ9zXC0SGac9Y59574FyIlwXVcEZdq4fW5Ee6qimClAqWUd0m0T1i8znlHOGqj\n/Ol6lZJ0bH/KCqNlUEkpGYWg+yrPy0IN0e8BfM3Zd0121npsOIMH9xb8YKAZu6vINL4+v9TMVRdZ\n08T1Y3IgsxLZliHrxiMlV8m5NkJaGg4VtCDjDO8AVu/ser5dr6/3HgBBfaWEuDtLqDQz/nZ8hfiE\npsEv3/zCPxWtmH9ym3PU1JlOgDp3fRdJVnnhXCA1OlsLjDe38PM9YpmtU7pllfeEpYemIZ3ku3vK\nABgq50Jo60PwDWvu7jWKlJfWNX3VpgjzcaqnhaBC//Ckae12k+pk5Ak+HB2gfvmKrotlhkN/l+ru\nvIqHk2OFl7len8736jopRzqH5otEzw/9PjdhOO0fEFbX9f9/7t4sxrJmzQ5aEXufIfPkOZknx5r+\nO/RguxtZAnW7b3djyYZug9y2EbwgEOINCYkXJKBlhCW7pQZkCx6YHvxgXhAPCIQQLXALYxoJueVr\ni0FCwlcgc32Hf6iqrKwcT+aZdgQP3xBfxN7nZNbfty/1d0ilqso8Zw+xY0d8sb611teHsywdpMnO\nTvSNvJT80kqCCzHoFlMKSdsFwI/H+rIRnewAccEMi34Pzc0dXEULjfiBVKcnlKTk8wdQJBph2AwG\nmtCJIES43b5G7gKrxeVKd2zN9U2CACQ3Y1gWGgX/wz+L+J3/N/Uf20yowMSLyMQU/PapepPAIurr\nwqwUOJ8mQZ6vqukUqGvg4n0WrQtzaf3Z54mxUQZebAuhz253l54VW15Erqsq2LMOX6ENzmbAbKYT\neLi/14lHE5uiXDWTuiS+3WDQ5r+rn0tfVdKu39fgIHMo3RmieXtOOS5W3eozGO2ql4zf21Pevj+c\nIt7c0oIVI6r9ibJ9AII6wu1dBg25Pql65b2PiwUayc/dELQa1+t0z/0emvdXOpaqo0OlmFIFp53M\nlEzguxjuIOwrdQ2VxX2yR4tnaEiXI3YeIdKiy5G55Jc0aOn3EpTTNC07jKe0jy5in/ij+C33KxnV\nTHD1sFyhPjtBnN3D7U8Qr2/Q3M1IGSZCA8YobU1TYbRUz04znrImdPo9FbEACW+rjo+A9RrNzV1K\nHPpKvVwkuhUmht8ZAoMBcWxLKpqvUJ8eky0ooANXJgTX78Ht7iLIIhUiFZ6oKmC5okmdqYnuaKoY\nndRxzSaIAv+0uwDFN/lvW87L0ghtRF8aZlmTMklyCjWTOL87WH/6GRfLCG2jJ5dcDTdRIW3zo1GW\nZ7GueIJ1A1DME2DxE7+01ilwG2MmMwLjl1QiqnA3yzBP6VcpXk2+4TNI1fr67FRhm/rVS4RLdjec\njKlqk6m3ajHbLjtbGavNzY2yWWiMGDYQs4M0SSgVp9h/qLxHAG1Wk1EEZ5Q9eWb9viprhc2lWL9A\nSYPcLbKLkil21hLg1M+fIdzcKv20VC+rwGlb43yT2DlkiV9jnyv9VR1OSVOxWme7ptYO1ZiblT45\nmqezldRCSP0m0bskPwt3VHEvlXPWL19g/fkXyibyB/sU1H4Jd8ePDmNHjCx2WSesjos5IzRYf/Ea\nzd0MzVsqiiECDgSTYB2Sr4xjfDhcXQPeoXn9FvXLFzqJqdCDRSyCgTZ3MxZx3CnnWKoLQTLtbDik\nrIOjKV2XTPoiIur1Uf3MT8P1aoKX6h5NAre38IOBet24IWF+1cvn6pXSvLsgxep6TfJjjoBkUvej\nkYqFACQ2ThFRNpeXOlgFS1STI4kw7+/znY/181gt82hepPlIEbWKgC7ek7CK/XLEfMzi6pkWQZgC\nvPBlfi7mHPZFz1zxVistWRfmYiuxVI68eN1IURThdANIFXS42QSb5iTWawowjLla2UeRo7G4WlJ0\n5Xw2ETVvzrXkoWL0YlAn1X1MH1p2RmRfEb3n21utVqWfYcaSiLz83ojeH+PB09Uk+ZtxviUBP08+\n+3SSqLbXCI2qJm0/Kc0xNEnfIdTRg316J3t9DQQUDnl/yUnQY0rgFovb+vUbrUYku18yvWO2yje+\nRs99QUZa0mfa/5eXmRpa2G9R4D6utCRzguDw6nXEE63bG5nSf0RBrv7wT9HOg20HtN+4zxTu6vey\ndyCwal6O5YdD2p3L7mc4QJzNMubdh7SPb2IHPbwgNxUaVNODlLADUB0ekEQ3UnUZgQAAtsS9vyec\n3cALcUVFddeffU4P79ULsxUiH4uyWC84amtubtT9D85n1VOkrV+/UVYInE8KwdUS4bs/4AUgEC4n\nicb1mqAXWTRCg/V3v0fJRzW24uti3FSZBNJHps/czjBLXGURnHzO+prUqci0qA8BZFRBALnxlnaQ\nsWctMPWy6If2JzjCN5RUtU4NDZrLK4UFsnNIkySdqWka5nOdNAGGD2KkqMnsFDQKcw5uj8oZhttb\n2l3Jgi67FU6aVWenNPE5l01g5NldKSQlL77chzCb7L1nCWNJRB8d0li5udXzamQsn49RLW6lxJ1U\nzFLlseR3GONvrshfKSzSLtRiztXZKd0js1Do5inBWx0dKn8cADyfAzBQgTSuXCTjKC4WqNgaw+3s\n6JjSsTPdJ6O15YrcOu24iZGgVoFljKq5mkyyQuBpN0CfWf/gs4ym2jUmwZXK3IBzT/cPZJjGuzGb\nRG/eXcDt7qDanygN1Y84x6P9SDmI+OkXlHy+eE8Llyh5DalA1MldNthEkfWawBZablbY21fZe/uU\n9vFBMVxow0IMABLtz7uWcEDMhlR5yQwY+Vw1mQCDQUqMPEG8opRKgR86DMHiep1MqqxgqqCvAQn/\nDfdcZLhMxFmYwG6NAVSTPcQmJJOokxOCiLgwgFW5baIZPta6tsxqlAa0BRzG07tMxEpe40nXUVAS\nW5RDoaEJq2h/8rTiF/Y+CkriVjUhqzJdr4a1bwWMUpKj7WpvlDxHLERjksLVdErjhEkAdoEBsJGG\nWTZLEYxNk6C/nWE2IWbfKeiR1ckxJb1l7HUpc7c1axCmJ2mbtwHd44lcMe9yX6M6FZPITsULRfau\n8/kj7x6EptwSyFlDNXkWxfV1QYAl5KgQyTe+huaz1zoBZ/0hmgprBTGZwB0ekIq2gBx10Sshsg76\nr7xj4WGOb8//+lcciuFGvgo8sR0fafLHOvkJJTBFaRwJGyWXHItqGS5TfVChTwoFzVdJmMSRvOW5\nywQn521ubvSB+vE44dS9VDjbPjhZpGqpXcmLgZ4/xmQXKlvjHlPXbu7y3cTtrSkJ5kmVaQZ36VBn\nI9ysOZfud5lv2/1wSOfgrWgJE8RVqqFaRufWEz3bMRhqXOqYnG2iERtb1ao3PENtzZu3rd2EXrP1\nrjG/Fz8aAEnFWvaDr7RPBd6TJKL0h0BedKGB4IjxGFn9VEDZO9I3tmi2nrLfby3sthFubyAZ60Uf\nI239FwvKv4SYHUMIApT74etYLJTJ5EyCMzbJzljpoNaCGOk9o4PnU4ZSTq2eAWhN6oCIbdheW3ZH\nOzspeu14frJTd3UN5x3Vb+V8kZ3U669/ol+x74qyrvp9Ltqe/KDSF/gclU8CKkDplOvv/YBhtrnC\nd66uUR0eEAmDFzYRwoXFAvGadtmeC3rLey7jIXCtVfFEEsuG6qd/gmCrkxOCQJuQFel5avsoI/Zf\n7P/pLLG3tRnPi3j/0BlBb/LzsM5x8j3bNEkn5bLk2GU0YlgD9ntCM7RqUy3UsM06d4ugpnUP5gUW\nB0i3N8rqmj65PVF0okk24MnXaa/3sQhxkweKJsM7ZOmd1wh0J2OZoir0yqfublo7ky6HRABWzFYm\nq23LBDKFh8tTm9Itq6pzDMv1bHxOxjrC+r9k3kZAFtlbyqndWWnwwslOS2NsCaj2ifZod1/WWtm6\nNUrbNB+oFmB3R4VKLUdU0w+a1J/PVSxkCQEq6zfRe6vbJEnsHbwp1FNaDFjIpbRC3tQsw0yo0d9e\n/Q9f/YhdI2/DB5UIRqKJ+ie+AQAkKGI7VDuww3KF+uufcILxTo8t9riurqlYAVvQdl7Hek1b6WKr\nqZECoAIJG8lINEKujQ2qn/omn9zri+LGe7mdgS34fG4D+QAAIABJREFU0O9zwYRhElchZ0iIE5zb\n3dFJiuCqgPgwT7goJ5tcr99ZaCI7d9eA81UmG9fPcSQv10MnS0Uv/HDYOp8kVDc1EUKF2Qz1q5f0\njPgYUjyDFjJOmLJIphQ8qbDJJG3J2ZMSpWG5SoZNkz09h0TdVOSlyo4ticmWNP34SC0rAJ4UYkw7\nwxjoWvfHqH7mp7W/iFN9rTLz5uqKtvASAUtfO5eNE8GrVda+ThFsa/LeAPfYXY6eD0C4Zr97i6PL\nc2b3UVFEkjoz7Tpkh+16fazfsn+8tY2wgRVTNmVSlz7WwvAx4eF216ICJzMmhQET7u/RvLvQcyop\nwC4E8v6aZLwQEZTeLPmUYlL3w6HmW+Te/JDdPcWH3TBkxDLERuq0YOQFX2zuSvIlJIjcT1TNDYvL\ntvbRRey7bi8ecjnUk+E3cbw43PjZx6I/we9o9U/y4hZefrCfPKCbpl3wt8P06ynNbsc3eanb6Mfi\ny9XRIWGnXaZiVljC9VWz6GlDJNmKKOy1yIIjE15HwRC1IrBJNPv9DvGOfM5SyqxYRQr4dkbpJW7b\nJY1Hes5avOOx+y6apR5mRRWKYygPvmscFPYKJRYteR+B92zhhurwQJ+1BCn2c11mXKXZ26M2EPb6\nH2niatrVD52FK/g+rE1C9itT4s++W+Jdo6I5Q9ss+9HaLWRaArTx8mp/Qk6lbJS3aadV5sDsjkTc\nUe2uS883GKCa0jPT0plyr1KnQcRcRX8Jju/3yGG2s495R3oeP8c7fAFUFd43r3Efb7+6EXuNPn62\n/0v4GfdzOMHzzDKgfvlCV0A3YO66/L9Dpu4P9mmwHR7Q5KGsEZdFXsQiiIpfNsLtleOIfJrhBzF5\nElytmk7Tzzia0BV8b6TbXfqOz1gJFAX2IBJ01+uTYOfdRUriMHanmDhbDJCSNrawyU54ANBBKpGB\n4Nj0y5jYBM7lLCTG+/SjIWYRu3y/mkxa7Bkpuab8evk+kFE1LS0uYbs9/ptyHyqMYtMutRBY82Tg\nuN6tROBixlREXvkFVnrtCE3rRdNyf84naqbkBezxLP5uqbcS8Q8GiaHFmGk1mcAPByTdN4wMndTn\n9CwkeayLL7NZNEL0FYn1TGSvka5haJS+6vpRE8HDV1REwpTKk59XZ6dwR9Pse3J+eTeELqjnFvYW\n97Od1BED0O9pLkOiYL3+0NDO+9VLitaFicSFQmSs+fHY0CFJhR2boBoD2VUB0GLffjRSPL06OiTt\ngeyC5V3lBK361BtBWnNxSf1ZUErDfJ6MBjsm9bgmt9bm+ibPuZTzEYCT6hP8bP+X8LPVL6BG8Twe\naR9dxC6sGFHSNa/ftiKRlsyeBThiGCZJVypo/aC2A0Ba3WW7nv2+iLoyO1QrFbYGTB24abi5g/iq\nq5hhtd6O5Rr8T5I2rt+HG/QR7x+SYGq5Aomi8tXeKgm7ItSsuhJb4Nqf2bKBWf+aSExZCHJOw2hQ\nczKx12WcFMgn1upgX71QSvggY3FsMAsro7P6+RnWX7zJI7gNuHZnVFs885YFsFRI4mR6KRnPjmfY\nFSLhB3KWTIvBsaG0n/aXMIyMFa7YBsjxhQK5aUGX80g+qbQ71s8Y0Y38P9zftyLp+vkzeoYFRm4j\n7MyeYUPNBD8aqb+7PUd1sJ+xwESFacdR5q3DQYMWsDcte0ZGDGb71/rP68+LXW/9/Bn5yZvxV+bu\nnpQTzDqgGAtbEIivvB+7TuxAeoms6s14qMT1Wre3tnU67hUJTn0JC4WlGEjZba4tl5a9pHycLm9l\ne11Z0tQmbOWl2fRSl9vex5KqQgk0hSa2fb50egTQeS1fhj65qbUS2UWCGaDcRGxCwj2LFyBL3tlj\nc3TdxaPvgqnsc8nGgVAK+0bu3jG56E7MJGB1QhuN2LaiycuqTadJAOWN62OhUhTPlE3XCKRaBTZZ\naK9B34MS/hOIrJjYZYGIDw9PnqDU4dAsyPCu9V5uuw/pFy3kbFxUq8ODFhEg8zmfTinPNJvlJels\n0CM5Kg60dCxsSMKrr8z1TSfkk73PpUK3aGKt0eUln/3fwDdiVWLfk6++8tRBKUBSRk4gAvFM8ENa\nmeNqrdtv+kWlCjHxmPbjMQ3YQcJO/e6uEv7lQXkpdzUcZpO6uD7Kv7vYJnG9psRckAezlys3zb9V\nDCWRtbEUtq1+/kwnfhUpGJVcVxPzLE0WC+6+oWWD2W0279rKPDHHzzzduz4LKK1SIBeaGA20MR6T\n4lYYCkWyEuD+dF4FPUIzba6uaBvOSe+SCul6/ZSTQE4/zBb3dSpRR+OCfYvYjVB+rtAVC3sAZIpL\nPyKHzDCbaeK3ubpKz49dH+kC+Hw7QxK1GPGTnK9kXKzfnGeGdEkUY7xbWPCS9d+G5xlXy5bKt6sp\nPMXnjau0gxI1djlx66Qu/Wugzsx/JqaylggNwrXBrxlqUi8ibuvPPqdSgKKmvr9H/fxZSoDzeya7\nZ034ysQpz8BCLZeXybdffN73C5Ger9qTunM5EUI0NSYZ76cHShSoDvYz+AagwMRaaX+Z9vFN7FGw\n4JomWDvZSITdhGSUv1rqxOCHVEtx/f0fqvIz3N4SXtjr5VCKbKsBMg0z0nj5nU2WyQPImksq0sCS\ncpmY5DwAFLfOPCWQFhWqal8oWb94bcyumqRgu72F3zeFEeQ6wBOV82mgmnMB2LggyH3rbXVMplkr\n2TFyjE2l7eSzgLIrqCanKRIhjAUTbVcH+wk/7zheXBE0oRO0uZbm8jIbOxQILPMotWM3E9cr7U/L\nlw739wjv0i4w2zKz2RsAUrWa/lC6LKuRNRLU8xlLWnNcxcVFfVg2HhN2LOkkzxPN+ovXWpzGNmFr\ntZonywBdoK1ewKielZYJpMjfV+o0KjkROzEJz1zwaj/a1RqkYvanSloOZmwRndbOlnMaEuUD+fhe\nf/EaAFRJCzBJgj2DVKk+maj9t9h1SxOWTnPxnmwjxIxQF6la4UK91xiBHtVPFehSgxfzbFzNGpXr\nZEZXvndhQ6D1lPbxTexIWJM/2KcEB0+sMiHH1RLN+Tnq52fpS0V0qqwNps+JKRiALDoAgMATcQYR\nxJgSYuxvDUAr0QCgwtUyeXPEZK0AgBTd+A2Qi8jetUyYiTQtbFSdndLgOznB+ovX5DLJEZlGdUyn\nKvtCJeeF18mmiOAxepWriijQV+1onRO9nili1WSi7oeSpNrEYJHPd2kP7EQoETtFTimHIteUfc78\nvfG+hL5X0jj5uOLbXx4ro/UVMB1AkXNzfq47TZkIM+8S6TN+dpZSi9DkFEQ+vwjPrMgNgCbvAZoc\nYkjjgSbIpdoi6PFk7IQm+a4bxpPmGKRJLsL4E8miLDse+/n1939Ih1ytyZTv9paKePDnmveXzMWf\nwx/s0yQr1sE3Nyqm0j63UbKhMWo/ymWaRbS5uWOa7A5cv6c+7OL7EksXxQ7Rn/X99/y+kxNn0P4M\nt7f0/Mrr4u+v35yn3YNJutv7qw72Kb9jzvch7eOb2F1SfGG5Yp+UQA98vEf8boZOImPVUjJN/K+l\nJJwII/RlNPauNiqRPEP9/Bn9iLdJrqLuqU5OFHawW77m5i5BKbzdiw8P6iVjo7PYBH0JrKKv3BZL\npKm8/eMjWljEDEwMuEKjE3kX68FOmhthoU1bbl5I8+eSqyCziDUke1QqAELwmat7amzU3NykSNJ4\nuZdQkU4KTZNNRtlnVnlkSgnLOgmP5HO8BVZfD6mk0xUBy+/NYqdQGFK/JVreMm3Vi76yuoDqYF/V\ns1l/8w4MzpGdMhvH0cm4XJ/hPKvtLRJGrp4wbOal7oOyO5FF30T24kkeeCcoYz1TN8bkZOhHo5w9\nxfdnxzz90BTbgMmBcVPq72qJ5s1bnhC95hF058Vjvbm6plJ5xgfHVVW2oHYZxgHQwirCHkufHwDe\nk7f/xXv1GSoN8ewz0u8yXBoXC7hdYtOIh5QtiC1joTo6TOPCaF4kUidcf62+QlT3NyXxiYiwzmoz\nfEj7+CZ2ED3LcfaeIBHaTsZ7wh0Dc2xjExDmC/4zJy+Ku7ss0gt3s8zBkP6RMu5wXn2h129YIFEx\nI4ajp+b8nF8CmiBEfJNVQK8qOn9huiQwkat8mtBZ3hybJgmJ+PN+POYtKBffuEsJJ/oHe6r0+qly\nu5n4quMjpYKVEepjEat+hnco2cCUyMIXLxdj/uqOxy+LTKgyqbo61RrNJmozich2HEAW8aBpwwZ6\nDL6uuFhACkzQASj6dN4weZxjj/hi0WIc2nKltXEdWqm6IyKiii1VZWdh7ylzory6ph2O3CNDiErT\nZdaNSMoBZnk9PCSqJAcyCEFpgq5XZwtUuL5Rz/kkSBugfvWSKivxsWQC90z1o4U0JJIC74KsrzyM\nW6K4aMp3ibI5TJDkYqEJYj8ek5Ga1FSV7uZJP/HSZ9lOUnJs6PXgdnZUjOj6OcNFyuzBkedN/fVP\niArKCdHq6FADK3q2ZBwW78irRiiSQp/NhsR4TKI4FkRauFQrHUHel6gLqZyvuXiPOF/kfVPU1KX6\nBDctj3tnitVIbmZbrqyrfXQTu1jtNufnnGj0il2H+3tKKggfXfC9QOW71q/f5Nv7QNTHbFDxwFSP\nBrYE9ntUGJiSV5Fc7bjYMXxFRQzYYyTGmJX50uQMLyiBness5BOWK+Ujh/mCIJiYCjzr5LVa0cI1\nmxHsMEwTWDWZoOKJ1EJNMqG5Xp+c8y4vCdvdH2fX6A8PUjIWSNvxIhoX1WdzfcPHNSrOAjYSF7q4\nWivNVPo+zGaZp756tkgySXIDXHGouXifdlXDBE9kiUHzHPUZCxzTkbTLokb2bteSaJxQFf66Tmas\nYxDnPfF8F6dPGYdAUhkr/x85HASAqI9ybDNG9Pqahp4hC9MkAZy8QlZw4z11CNTchIkoIxc615xE\nDJwXuCB5f69OEI8ZE/TlqIW9tQKR+MYcHcLvT1IhEQmO+Dk1Nzf6LvhdKtUYl8xMubuj6JwrPslz\ndVVSjrbUlb5CdXJMtrXzBfzhAVUFG1H1IS3KzQGDn+wpWy5eXqsYsDpjMoPk1Ua7qCZ7WL9+o+9i\nc3mVcHc7b3j2+G/IIbO5vCTRE+/4BIqsX76g52F2jlnOabminXrPFP1mFlhcr+A4IMrovEbB6kcj\nhOtbWlQ+kL340dEdd91ePKxfAOs1jt0LnNaftHij4h0tgywrsVZwiIEOo37hjJeFBoDs39ZZkI5t\nqon3+m23N25aT7TD60Ky6FKKq3l3sbEgcsttjil3qjgVmmAHZXBbczWX6LP8YuMZIomwtKtxrXNl\nxZmLY+vz2qRSLD7Xcj2MyaK4s3+38YUNl3wrZ52Pk2HHhfJUcz1yfXacOJcVg9mmSracfKHcCVvC\nDQadvjhPbZlyWe7ZWAkI/TCDTDaNE9f2aLEUP3iPMLtvccHtM9uUn2kpmW3Oia+pOtjXojZ63oJO\n2XXNm7QQ9vpbfdZ1nV2q8A33I/m00jPK6kPk3ja9K5uuWXxr3tXnOF/9AADw3p3jPnyFlac9P8TP\nup8j5al7kf0uPMxVsSnN9foI17dKS6NK60kaDKQoCUCKTBz5nIviUDxVLKNEGQq9mryZDVwixSfU\nI1u21vywXb+v23tNoJ4c099iOgZWsYaYZ+kHqai0bW7Q50SYpwF0ckQDrE/bTj8aZXAGnSzHkyUi\nUEx8NxVwtlGw9WkRnFY/1+8RtNQB7eiL4Fw2qZdMC/K2T2yejCLGL1SrmpDNJRRMiJJi1vkiFS+t\nvV7BPq0jovRXuL+nfrU7khjVshhICdCuRFeyo0gumbLwtxLaHXRWfZ4SYAwG6Tlz9EiWwpwj4PyG\nnts2EZvJPcvubTxG/c2vK+5vVbskjlppH/m9UXbNAqfpAsDNUg4tecEPhyln4BM0JjkD643khoaz\nbn1VxCddnj9j4NVhomLK9QPIVbkdTfqt7HuJnFutadR+2H4fvoKbGDV8aIDSS91ShMWemAkSALQC\n2/H6BD/jfg4/438eNR6HUbPr/qBP/xhaDAFuZ0dfpLheo371UrnEUm3IlnmL6xXh4nukJq1OjlI1\nmfGYsuwnJ7TdF8xaXtIeFwkoqHDVZAKp1i5JUZVDS2Jpb0Q4vE+LhOCOWmgjUn1Dv7urKtq4Wivr\npnnzlvwsKk+RqBSgNhGQGwzIQ4TrOgrEE2/vqI8WC7IlXhMlK0uEFdGZWOlKUkxrYzpH1yGTJ1uL\n0o1W+l3qHIKvLCQjf6cJ3LP1cMJ2629+XScBhamEWijb/0gGWnLPin/zltWPx/RHFz9OasrLvzdq\nRXddhmR2Qhfc29o8kCJxqQn0OLtvK6BNsjY8FHkcOfaUtRihIcMxrsyjSTYu3qKPSwos2HPI/QhD\nY7FIBZ0Xi4zOF5uQJeXrVy8zm2sA+lwUX+fzrr/7PVTHR6jPTpPATfprtdQCy43xshGqn9aUNdce\nLq80IKhOTnQy1/KFDKXG5UrN+YT+GEXgxHV7pYqUji8R/Xiv9guurpXmCEDzTKolkHyAJGGZkikV\nowBk9UVdXSc7a8sy6/WJ7QWCouqvf5JYLqFBvLvTKmgWaqlfvaRF2ORwZNwgBlLxeuMzr50fAXzF\noZh9fxR/QZSnZYTFeHvWnMuLQNhtaKnAk6/Y7akzBS7k++a8IoEP8zlZA9/NUNbVDA9z4v+y6b4Y\nCMnOQK6vteWytq1iEcwDPK7Xanbkd3epVuabtwkzLGwNZKtbf/IK4T2VAsuKYNh+ku34BmWqJPI2\nQgRme5nBItaGwRxb8VRWYmbPTmCO2G2atEnyvanZ7ysEsmFLrTRIriQvVeS75PZdx7f3UdoSfKi8\n3EJ7nZazXd/ZoOCM6zWpZNnuofxcqxYsCjhs072hgMEEljMQZZdNbv3NryPe3iW4tLQD6Lw5p++w\ncy6pqWHGEyciO9XARvnaUux+/ROlXwJtpXoGExoIyb5rrqb6qrYY0Lam9h2DAfx4L6PFdhngyU5c\nqmJ9e/7XcR0u/oBYCgBpEtrkq2Ck2M677sruW1rLS6JXEw1pfwJ4R5GRvGi8a4D36rpHkMFi40QA\nkA2sRB/x9la/D7SxR9kKyjHLQs4AMrk63USH34npr00vbeky2HJHfMzCAJvx7rISkrSWMVLX5HR2\niub8QqM962OTTmx8XQpY5dEmOZbhUAttb/KAl3NVJ0ftyk3b8GrzmcxzCJvrA2SXKDuHkxOa8LnY\ns1oWCP7PcvQu6EWUvW40ygqwP2YP0WVzIT4yqIga6Xd2KCHekUOxrp36s6NDYLXWz2+skcAwpd/b\noxzEeA9YLFqftbuEpz539Zsf5PCO+iVtyJl9cHsE9wfaXjR+PKb+LS1S+FhffUsBbpYuKFscIOFs\n4f6etrkGF7ZScCt7BqDMFtl2C+/XT/ZodVSBBkU5ut0dDpV/HmYzsumU+ppaRYm2s+IZXh0fEY+V\nz7X+7HOCXM7PWxVRVDrOTSAcmZyFxqf9IgkbCxvx1s5Sq5RmWdfZ9lKPYxkO/HlX93LIomAKyPfS\nQaiijcIKBgPNFKWGAdMU6tTOl5IZHwR1rHKxjl5/nXld689L1WxJY2MONpDTEq1lazoH0w37PTRv\nz/PjjMfKzAC6MdxK3EXHe8lbnClxSm1kJ8QyXyH31Jyfo3l3odenfuM8bsKcKvj4nWESafWoZqow\nZcSeQRTd0g/0jzanXxaOMg8ivGpX99I4RZ5X8GLLawINN6BC7c3trb6XJdRjRXSIbHAWAuL1TWtS\np9wA1TbInr3swAoGlbKmHvJdsxirdY2HktnUasW4alF4GZt3vX7SpSDlmoRxpm21ahEuNB/4JdqX\njtidc98A8D8BkD3NBMD/CeB7AP6k+ei/E2P8H/k7v86fmwL4GzHG3yqPO3GH8Zf3/xlSzPGWeJOX\n+baM8yZWRFm70zaFQ8Soi89r4ZYyQuuCDuy2rmtrmn3/6BDN+0sVVTRX15l7nzBp/P443751RMpu\nMCDaZtNkL4Majtk+MSwYhZvEiIjZIW5nmKTylu1i7vGDDMIMB18WwxZjwUY3DJO1Ktnwc7fsJ3Xf\nk+2yhRkkMucdiSavmelj+7J+/gzh8ipV3yoYDtsYJRZ6asFOfKzwMO/cgWi1HHbf7KxFumkHtW1n\nZXa0usNhgVM1NVz8mxvDP9/T8n5dzK4MeisZMvbUhRneU69bK5bNF4l+aQz2sp2gub9qb5RguMFA\n+eWP1W0or/lJkJ/ZcZQOlvIsu6Cuzj7d3YXr95LracfO8cfm7uicOwLwj8QY/yb//zcA/E0Avxpj\n/I2Oz38LwF+KMf6ac64G8B0APx9jzJZjLWa9qVgEDxa/N0oc6dKdra5RffJSq6O4ARXyDe8ugF6P\nomRJvhRUQaEatSbOEgoylMbOrRZPfraIQxel8ilwR9GR9Hfxna1QwhPbk14Ag2G6us5d6ewCIva9\nSJOBLRloFxVdhMotrHmussAhhqz4sfZ916RbQFRSxiyy94su4MY61z7LTX0qCTjr2IkYswpearML\naATXBZ/Vz84Qbjg6XVOhDaXm8tisjg6zCj/V4VQl+J1UvqZBdThFnCVuvr3HcmxvXJwLuEvICF2e\nQE9p6iq5oSBK+uCG3E/He1YGAgAS8aCAZWXxt9cjZQXlnOHhIVtUsyDG0FXttVYHB8R1Z/vwTRO4\nfkX6srBJhugYTAAn1/xjg2JijBdmUh+AJum/xf//C865f8M59+edc7JP+7MA/jZ/dw2a2P/EpuNb\no6TsvDyZNtc3qdBCUZ8xrtdYf/9TvkOawNeffkaqyNtbwhktVMCwhR+NEOWFlxfC0uhka85qOXkg\nrcFW1y3DIPtCCyOnOj7KcUgpUGDuxTaV6pvyaaWvjFWo+tGIyryZ69K/XW7SBCRGgMICxhkwoz5y\nFEYTbeLBK1zA5lx6XoayNPLlYwBQFzuli9l+7NXGD8YrxdS2kjGS+Z/UCSpxXFwlXF0nwzdhssxm\nehy1XTZ9alv9ja/lv3PGG9/6fiwW9Jz4nkr4THYu67fv8lJtPKlrycXQIFooKkYaW5E8VqrpVKEX\ngOGWuqdK1K6+ChrQ8PtSespLswIoGeusplQVMTNentLiaslU2SRCU+uCYaKL2udmmx33ymTK4Bwy\n+qtOThIsa35vJ3UA8KMdnYjJs4nGc0m/VeFZv9/qU7+zo3Bqc3mpLK2uST0rDIMEb+nxWWluYbnm\nXVvf8pT2o8LY/3kA/wX/+78C8B/EGP99ALcA/mP++Sn/X9oN/6y7ldFXiXWxW57thEy1KJGGcEhZ\nSSg0JKDANVkFGper7IXWB2kUlyUuXrZOBgZPpmQY1GQukNIUwnEO9ddete5bJ045fmhybnV2EXQ/\n688+T9dgZeT23vQEueGRsHzKz+pL3mHE1NW6XOqsmjTM521YialzrvL6sunvegWO3nEPpQ5AFqLs\nmjfAKtu24uvv/aDlyaPHNLkWOSddbz/zk1F/loJiK32ijCSZeJdLZbfI8aQ17Cqa3WvHAtiiz8kf\n01RlvKXFFZWxk7EaV0uEsvRbcUz7t7qnIn/u1vYjc0C09zBPi3jz7h31k7C8kMaj7m7kXk2z+QBr\nBSH3lc7FegOj+tTCKeZZyqKsNWit/UU5Z4WAziYsO9ZulM/yy7QfCSvGOfffA/inY4yr4ud/BMBv\nxxi/6Zz7TQDLGONv8u9+C8BfK3H2HTeK/XoXcZ2/dC/xTbxyP5ExGeBzI37Bwj1zXgFspPZ9EO4m\nSZkudsam5qs0MRpVYGs7yZ+D9+1CDuYzWbJUYJ4SR96QO8ggDfOdTdvrEkrRy3hqn3Vs4bvuQz++\nid73FNbJJrWgCJhMTkWgla2sFEOz+7JFR8inZJqVN/xRtqfiwK3vmWfxJDYJByJ+f7JRGd3ZFyWF\nuGgtpbXfXGu289q7mFIb8mcfkgNS+OwD58RtCms7PrXK2Jbr+TR+F5/hH7R+vsICD3H246M7Ouf+\nJIA/HmP8t/n//16M8df5338OwL8aY/xV59wvAviLjLH3APw9AH8sxnhlj7fvj+Iv+D+VJmPn1QEt\n6xTGTNVLZjSC291F8+5dhvlKSTorUd+EndbPzmir3hE9+v2JFuDIaGNPkPN35QDKbH5p1r9tcInM\nuoX3lZ8r6YzFNXZWculKUqMbb7aY+VMl5RkrYctLp1xnWRCtXH5T3zwhuVlaGYjTH4CNibwSU23d\nq0kiZj/vuNYPoec91vyICiLrom051+V5LJ21zPEAHzyZZRWR5Nk8ZSH+ETQ7bjbl4ra2R2T+2fHL\nimnm9122CJvO53eGmuPYeFn8XtuKXNL+Dn4HNx/AY/9RQDH/MoC/av6/ds79h865vwDgXwDwrwBA\njPHbAP5n59y/C+A/AvCvl5M6AFJ7svKQuMYDhIc5sVV2hjoQ6+dn7KW8VGVZnM8V53S9PsLDQxr0\nR4e5Y13WC5Q8EYMggDq5OjkhxkiIyTiKFa3yYAUHbdHs5NDDYeblDHRANTHfolVlpRZ7PDYxk4ow\n0rpoflrZBlBOuG3loqD/73jJWwKKus6Sg0A3BCXXomZPLKoSqKRFTeNWwj0J7kgJWT08H6N+8Wzj\nc+i6xjBf0EtrYAlRUio3vglEY2W5d3V02J7Uq+QH748OE+1TJtGO++psm6h18uvC8z7MZqqMdb1+\ntuuK61SliPIXJh8SmjxnUi4+G56JvU47HjITrE25oUeatREo77N8ppnD45dJ5BpYtesc9nfCDur6\nfWb81mEboOOADfFKLYNtmtdrGq3kpjYlvX6WS3hK+2gFSrItqg6nnfVLAbQnICvKGY/hhkNElsZb\nw6/67ESpcf7wgBzoLBtCRBIF5cxms0tTqBa9ap78rrPv8HXSgvWg237nnDJ17Mu/Cf7IIk+OniSS\naIkfJOq0ZkvGddEf7CPc3uX3b+GapoHf26OIe8t2vrUDeKTOpTWY6or+pI+IPWAiU4Fuyh0J8GjE\nLrqEjVtn/qzc77ZdzTa4wQpoxM2vRXWdTCi1dGS+AAAgAElEQVT/UNTHFcUhqgp+MqGiMq9eEg2z\ncGd0/VyPYFlY26iIIpxSXYSJ6NXXXSif0yma6xulR2pNzps7snBYrwkauUtK0M4xXIrnSlEcL5IA\nku8NkOVGWoXWY9DnYC0V4B1ReE19YemzTSKtDLI0/VifHpPflGFCdY1nWxv599r0/CJQ+v8hYv+R\nNzXGiRHhOvlD6KoZY1a0wvX6KjCyK6FNoujKHgOa83dsX+vQvHlLvHHxc+BaozZhJ2ZDNptNrBMj\nzNgZavRkRUviO5KZPbFNrNDgdDVuGqoaZSJrtSqta/VModuIGXtDksL1s7O2DahEo56YMBZfjus1\nYcFGtKH3JF4oMZK9gRGEZDU4nUP9yavsnEBincjn0weMgZf4YpQMDdNHYTZTky3XS8yE7GVl+2Y4\n14o4xYMGDF1tndQBOufdXSqHyItGdbCfKgbFfLtcntN6lgtLqDrYT/3gyCStjMTiYoHm6kq37c35\nOeqXL4jVZQooazUxk6xztXEfZRW2Gwy0KpcyT1hcZT2JRKDmen2E5Qr+YJ92rZMJjeXQIEgt3dVK\nDbvUxlhgyn4/h6LMc6r2JyzaqZNBVsw99ONqCX94oBFsmM/JcG7TLsI8h+bqmsYpK8Ytc8mqk+Nq\nSYpeK0Yz/jqkAl3pNQpTSSwMquMjVM9S9TZ5pqWIzdYzeHQXVDRZVLTWwgcG4B9fxO6P1FLA9fvw\nOzQRlVa4Ja6XJWQstrktubbh3l1dK0/eclc/iCvegblt5UjbiNPg9l0Ru+4+zOeUI9wRsbY8aqZT\nhLtZa2JqycgN99pGrqrY42RVy95hU5eU99whOGuJejowzm3XvKmVCdNW4pknOdntkEPkenvUa6/l\nEey83BHa4gotNeSXSIxuatl9P9ECQXe9Txjvm57pY/dh38MuPv42fUP2ubNTxA5qZ2cCvxBpiYVA\nmZilXUBNZnfCbd/d3Wo58eTcQleuy4xFtTgoxtNX3lLAOaqGog5oHJmG2Yxc2epaLUrp9w3Zg3J1\nk+rkBNUplbKTEnl+NNLydmJTK+6AEsnIqlsdH5FX+UOyVw3zOdUcLWoQqlMfW+ZKJAUgFcZlvnAW\n7QHJBhXQyEBricaYKtx3FDOOPNBcVREveDCgghyhSdVqWEYNgAzKjP1ouL1Ni6Lpd9n90PWzSrKX\naGrauIBBmM+JM8xYe3VwQMeytqu9tLNqveiich2P2YVvL33fVzTJvrsgR7zjI3qOZkcmYhvhVNff\n+FqqVHSwrxinG3DRBrFe4KItGlGyLJ+KqSRtQrU30oIS+lwNZ7t+/owi4rPTDEqR+62m02R/u1ig\nfvmCLZ/JVVFokCTT58pHda3VfQRntdG2PYfci+4oWK5Pgjy6zubqmvrHuW4Bl2DEJmqW62hZNXTk\nAKzdg1SXysaViVSro0PKUZhiEnZSl51p/fwZmps7xbb1fTN9K/Th5s3b5KwIepfq58+AGHRsSLFq\nP0zXYn1h/F6qERtXSxLAMewicGk28fPfWb86p3kYOmilBa2zZxUaVD/1TR3jQNqVyy4ODMvKbqs2\nu4Onto9uYo8xqmWnHwzQ3KVteFytCQ+eMY+cB2bz7r1GP+HmhjDzqlLLzTCbaXm78DCHH+3oy4zQ\nfmhhdq/+7uJ13bx5S5N9Q57dfjjkvwdJjDSfp611oOivOjrkVX+u1r7VZKLWtHRf7FfBVW8Aho6k\nyDG/kFLiTLfgzgM9riRzeKCmTErZCqnqkZTl8ru7OllVkz2aQHjbS1GNcVwMTTtp4ws2QQyA88TL\n50hXimwTXLDKClrIIBUfkmp/QnJs7zLcH0hFxyXJSfeQNASSSJb+X3/vB4RLj8cIs2SzHJfEUZYF\nSL3omdcv97X+/HWWjGtubjLhEpwjEze+xvUXrwkuefM2QUlmwY7GvMr1+lh/8UYXVamdKw6c8tLT\nZDJHYNWocw6eFwfX6xPWzv7wfjQiC+nQaIHoajqFqypVT1cH+4gzhv1MMo7uoZeS0bZI+9FhYn9J\n93CFMdtSEEALsgpuQkMLMRtbyeeai/dkYXB6DBEOZlW3eGyvv3gN9X4CFKqzik4RYtWfvKLAj7Ul\ncbXUSmpuZwdxvkg1bztKLMozs66N1R7tQkSMJs9bjg/QwiBCMfpFRLi6Rv2Nr9HCU1XwkyLZzWOn\n+e4PtAJW/eyM5rCra7ZwdirQEvFUViToie2jm9gBpOpIjJtLxOmqirbl3tFD6PdRnZ5kogqbfIlL\nYsxYbNMfHpBqlSMd16u1irvr1WjeX6F++Vy9nhECRajOAd7B7ezQgG0CQRHWnMlXmlgjI6SAcM2i\nhukBebLf3OiEY7FlsfsVIRUANG/ept0GQAmcGOh+GNOPDw80AM4vEEPMI7vhMNVV5d0JiX6q5H/D\nGDbdPxXYhURRPkVTZREOaaSUI4aMXlddE4efSxvanYoOUpF7e9pmq9c6P2eJrijCS57pQnmUXYnu\ntBgTdv0+9Qkn0yi6owlAjK2kqLDr91K0uT+hc5qdjvQhQAuRsJVEnl+dnaL+iW+oalYiNmFOiYKR\ndldeizFLtCaQjMAyrq45edoDQuCKQjeq0nW9Onl9S/lEjvak2HlcLOD4Gbi9EdX85QAnmslPWv3q\nJT2OdxdpEZbgwkTj6otidoN+n3Za4S6HYqqDfaw/+1z9UuR7OjkuV/AjehbZLq5wb4VZ1PzenkbO\n0n+u36NkZYi5UI91I27Q1/KMsmOUxU1hxbrOgik/naYA4PxCF0R/ckRjiHfmYbFoFf7weyM0X7xB\nZBJF5g1/dor6+TPatRwepHPf3NI8drAPN90nJetqqQro6nCa7wSe2D46jH2/Oo6/OPjT6l+u+DYb\n5UjpLAA6KVanJ2qp2uI9IyVj3YBK6jU3bEcQAvzzMzQ//AzABioaY2IZ26CqnmTxWfK0S2zccmkV\nSy5zAoVoQnIJahbFSczHcNmn8Kcz8Zdp1cE+MYzm8yzfQcWF19k9yoKxjWPfieebc4sdspQOVIva\nJ+Y4kjNonuBsCUkeybOgIv6xlmvr4N1n9rldZfzEEIqNrcQbRCa6Lgvjlv+NT+X+xPhMCQaW4eEr\nKtdnGVEF111+lrFFDDdfPZRaHbIdO5dFVaJ2uV+pF/ulWiEu1P6pqbSj+KHrJZbvW8ezsWOgzF9p\nfqXXb5nule9PK/cj1yjvJeefhFGkxI66zs38rDlY06B+8VzV4nLO+tVL/O4P/7MfjwnY71fbdXvx\nkJ0GjvE8lcdjLDuy34t9iFpQgw28ABq8bm/UnvAtTXA8phqO7MEuE606yXXQ+Rxvma1Pu7RO10ND\nO6PcwFojZL+zk2iRNvm5YcJxPU4mWzdJO1A3CIyqyQRutNvyytjUHl0EfPIYr05OEO/v2xNuqfTt\ncLlsvVhP8CnfJIaSaFB2RdlnNyhpgfZkkN2mTAzy8nUUfZD+2CZO0Um5Vz9qELXxtg2ro1XDt2tC\nt30rz0JgNUm4GxFY5qBZPjsb1PBzt+PVPtsWHZEntNiE7L2tn51lhWPqly/ShMbX4/dGiPNFRp+s\nX73E+tPPsr5pGe6VfWcT1yX1V+aMUt3dMRafEliosRjTSO1zs8eB9/mCV1JBAbyr3uIcXwDrNd7j\nLe7j3Vd3Ym8V2jCcdWvWn9lmPqFajfDM/eEBmvML3hbXGlGUVWXEwlSSsjZCt9x0we+6XnQbAZUu\ndPU3v471d7/XukZbFUkPJ/CKtfT0ecFprTQ0XzxNQm1e3tYkaXZKNkqSxWlTv9uFtav/bTWrLqZO\nc3mZwSslaygrsC3HLQqlbJpgf5SKz3TQYgF2jiasL17nAYRlFHWojl2PPPMVvjLX7DmBG+5m7Ui5\n4Kpv3TVwNS65Zg1C5P+cuypV2p23XWo+hP67u0tw5vVNaxGtzk6JDvgh8w3nYDRXVrDDZAeD1SrX\nGrDi3I92dIdpdyi2mlFmISABh2XglQtAcX1WMJddQ2HlK9e7Ue26iUUkPPavOivGNnX8i1z5++K9\nwijN9Y0m6LLvCOZq8C9J1Lh+j3BqfvnD/X1KaFxdc6IxUJLs4UG5rXG9SpEwoFFOmC+YNlh6VnM9\nToZIqqPDVLHlYJ9sPn/4uSa3ANDnJVFXPHzh82YTXWhUcAVQYkrZLk9pZsDFULxspmKTFSNpPwlD\ngutN6tfOzxM7YTBQtoomyjxNUPLiZN+VaJMxf/F0sfeb1XJlFk+XqVfpWin3USpv5TidTVgNYKaU\njDPORci1qkrSEzVOdkW2T2NDmgaFmEoF8P19a1Kvn50xxe6BJuCQvL4BKPdcKINybL18i23v7iRH\nUS6WbW0UqslEk7nSV/DtqUE1FNYBUyZbfm7N1XXn5B1v79o/Z/JD53MBJbcbduPMdh9yzCYFT9m5\nGB7URLv3tFBJcRKTF/N7e/o9LYTNO0ItdF/XmnfInCzN/QhcLI6VOql7rq/qK8onSf7GjjvnEqvv\nYJ9cWSVx677cFP3RTeyOK6MAUFdA1+tr+SptIhEvpPWxafTzMmgc0yQdF6FwdQ2/P6bMvUnCuV7y\nFw/LlRbZtZlvAGlC4Rer3J6FeRJ+uMFAk0uupjqkzeUl/P6YGB1iT8wP0ApYAE7aSTUoSyPr9RNd\n0gotypfEUNr0R4VEW1hH2odlZOtc5tAozIfshZN7Ny9N854ma600FKgylfTXY4ZidheUiW96/YyC\npj8DR0oG8hH7ghK6SzeTDJpsPzneHfnRiAqEC+Ydo+7SKk60VQf76umtVYdsIpC9jpSlw6pKNxjo\neJWo1PX68MMh1q/foLmbEYQEwI+oFJ1aM9gFN0Ye7x7V2SlFqJIQvL+nxCqfU6t+mT4rJ0bLnJLF\nzY/HVKYOnJQXiqZpOh45IazHG41S8GPHIgdtskuQJmwyWz5Sj28nukCF3UV1redTMRtTddmq276/\nci0ZC4p3MG5nmIRsnuwiZMwKbKOUS9PCwwONPUuRDQ3ccEDXZHUmdpFjJqAfjVhkNUN4/Va/74fD\n1jv8WPvoJvbInsj1szNibxwfKVYtL6aS+af77e9LMo9fQom443pNA5zpjc27i1RyjFWmhH/2lCIY\nV0tNdmZMkIIpYiNPeRgAvww2GVVRnsANBppA8Xt7nGlPESH9TY8mzheIyyVz9RudgOJ6pfQtO8GV\nlC4vfjZAxiHOP9Q9DDQbX/iJSF+U6j29f7kPlYr77oEpO65tg5YZGNk9WuhFfxhSpKQ/i6r6BKCM\nhq4t7yY1aokXu14/LUy3tzTeBP6KXPWKaZTSF10mVbEJFHB48syRyT+zjw0NquNjVQvH9Vr7vPQa\n0ca208pprxOjSPjcMoZcr86EUgALfppGJzx7r5KvErFeCd8JPBmXS2JCSYA2m2nuStSnZRN9iKtr\nNJeXmY2I7NSIz89sKVv6kueG6uSEcj4NQSd2YZD+tcplgV3yBxN1gteSnMWCUE32WrYJoo2R8aHR\nP/vZKNXYV5TzYoprpka3duGLhe5qXb//YRAWPsKJXXjT67fvyNPj3QVBFntGlCFeFhzt+tGIItuj\nQ1oMjg4zWl7FAhjq1L2WyZBt4m3tBoOUkONBW05AytSwkWfDYoXjIzTXN5p8U/EGAG9golAUtxYp\nc3VCu4nImX/Z4ms9SYGoDg90glOZtr1G6zF9c9di6bjBIDF1kEfzWry52DZ6qVv57p3K1rX/bAET\nyO5m3T0wOYIXtgWQi2zoH8k5U8VHx0fZNlmYQWGxgB8MsklP/UaYQmZbC7KxXO/KvBrsMFpNJina\nNslDgenkvDIuJHL043FWRMX1+lTkwXjENJeX+XPk1pyfJ88Z/n9cr4kKDLQWPJmk5e+4Xis23NyQ\n7F/GULi/T6Zs3B/Nm7e5Y6G5Zmn1yxcpmcrReVws9F1wdQ9YrZSPrX3KfO2uQEISy115EC0QMpvR\n5D4aJS3CiPj1fncX8faW+me5ouIk3MLtbeqPEuY0nxP6qehXSnGgitc6aghnZnWOfGriYpEZ+gUu\nviK7q3B7q/mrrMgOoEl/t7uTREsf0D7K5Okvn/5zCAbzs9GfpSRVz043m+5sobIRB75HD+D+QSlo\n1jxLs/e2nJYzEn6bBPO593p5LsXCQ9Mur1XInP3OEA1HfVR/Mjcva95fJny6qhBm9xkjYpu1QHZd\nkiAyZeZEHNHpG2+7trj3xyToOil4131MEw2XtsxCocssgqUVicsuP+5Odsgj7SnJeD2tJIUN/a0r\nGZ2VbyvorGICphxr641vjrXJHsAmOz+0zoCa1m35jpquCc11Z6f7GoUa3FF6zzJF4FJpRCAl/ls1\nAR7zvWeKYOc72boJUmlnhAAO3tQ2w9AjXb+vu99s8rcMIDF6Y3uCki0lCWkgTfx+NIJnnj+Are8Z\nfYDeyW8vf/urTXec+MP4LfwKdb6ZdPx4DKxWQK+XPKeZxkbwSZ2KL1t2hEwQdZ1/13YoR/LhbtZJ\nl5NmWSutAsv298XDEt+RrX7NwyRUqaZTwDs0l9dpMMpL2DHpZO515bmf8IJsaxsnuaf4Y2yhbT5G\nMbQY5lMnWcBMMhvO/ZhHfQ4hVQp/aZHkwqOoPLfb2aFAwbBGEMLWe9j0ckug0Zp4LY2z7McNzyX7\nbAebpxWQlDvRjoBF+jrz2beTdkmbfMKis2lyrs5OSbBXUlA3vBfWAbTUWmRsli01XEuHxU5fnI5a\nDHbuEu0MnFOLjsjiprBYkLhqOCDatWE4VZMJmttbvc6vPism8iDkjlF/CE7gKd4mAzVGUmAul7pF\nkmSdbsM5y68P0FeahQZASRjGMJubG0pAsWcLkBg2cu64XqHMVru6Vhgp82m2Sb+6ZuFG8smuTk4I\nkmiaJKG/m1HiMTSaiImrpUr/u1gVyvMvJghNGIr822KzxfYuYxLJsVko1vqORItbXOus4tRimS2R\nz8jgn6b8X1fJPHsPNrdRTacQJhIdoCNgcS6VVzP3kDXL9za/t14iADLfEX3WDGvZZyAJtVY/MVxn\n2VDZuXyVdmFGIWvvrXNxtPfkUwLUVV6T+erRYz3ZzT3Sl3wG+bVOw/CG9dkHAFf3kiNh8Y7ogl2M\nX/scrWup9sdgkGDBENSqwObdSgsEe046CIsZz04zq4CMaVU271XhLufIWjSBp1V8MzZfHR9lMJJC\njwAascBeLUkRzEQMUSY3NzfJL6vDo+ex9vFN7KAEYDXZyxzVBJeSCdkO6mA8YVyvT7J/WcENtRFI\nnV4m4GxhXTzMs8+L25rr99OLEUM+IHkicoMBJ6d8upfplDnEpMRzbIkQ12tAGAHsLQMAfrKXXl4z\nYMNsxiZSy2zhkHtSXnLZ+AWQrHu66PyF3WhnK1Q7tg3OJukt28hsgjN+6/QPp3/L72LTbB3EarVw\ndZ0bpDlHk6CB67ovqAgWzASjlDT5HKDPkrjOIZN25xG0z+7DNsFY7eIOAPXZKUIXBRBQxhXAUe5d\nKoSdXadpMhn68TgrFCLXJV5AEj1qbgDQ4+XqVGNJbQzk5BwbC1h7l8ZR6WIoY97UIQZSXyppgXe9\nKT9ii6OQQDGGiPrsRO8RVUXSfGEFCaNN7sv08/offB8A1IBNjlFNJtmYCLe32UJd7sKzz9pcFu/q\nw+0dquOjzl2K39tLNRQEZz86JFIE37+FHt0GgsOm9tFN7Gss8R33v+P/mv0tvJn9fUqUnZxQAnJ/\nkrxCRiOlhtUvn2erfLibITI/t2xtkQO5xMniYGXepUG/3xnqIKtOjjVxaFdrffiG1pR5dHjP+B49\nUNkpOK756MfjnBHAsvEsg67X3icB1HKpPiM2Aag88pCwwk0TAx2we6dn2UjCMZeWRc1lAqhodlFy\ndY8myoK+tg3esS9PNnkY1guQs1C6Jvkwm2kilL5oCkubBScuFkQPnM8p0cnJ+qwwtVDa+nkUqhH+\n3EAyAOA80XEvLjPKoLiO6nWLMyXjyPJ8xYzLFUlip7uGPhWmYEpqa+GoKmVvCEvIMlVkVxk5oU3i\nplnCxply2Zyfs4Iyd7/cihev+B1jdk75rONqqWM2LhZww0FG9ZX3TBeAZSqVWB2SoDCwD7vzRGUU\nJpjcW2A7DjcYACV9mhccPxxq39hnly02i0XuWyTPwRj7OedINyO/M2ymkrAQ12s0l6QBkHOcu9f4\nTvhf8R38b1iFD7Ny/ugw9n1/FH8B/3jr57bgcabANE0VocMh3P4E4f2VZtsznLTA77Pjd+GAvqPY\nbofqrKUYLTC5+tVLNG/OoVWOrq4+GIO29/lY+1Cl21N/pvfelfTs+pxpZfIpxvh79x/3eSWelte6\nkZBLaykJy2MYtWJsGkqO381SdPXsDOtPP/uwmpubsG3nUrJ8w/gDkF2f/txaUCj0sqsJ92pvpBoQ\na6vQqR4155JqSZ3XbS/tEa+crFrXtvFY/K5MyD7Fp75U+8rYIhfMQWdB7q77cf3eRu/+recv/Kks\nmcIqUbfeS4e1APAHAGMvFxpZbbVqjtjLcivhEABAr4fIhSQE1xMJMZC2w7J6CrdVEl32vIrnSvUX\n2YJx8iqLWGIgO1VhNwj8IHzmN+cQZ8rI1KeMmse7ENlFiH+1vU+VmctxfZXjpYBGAtZn2jY5v/Yd\nf79rsDnnsp0POSMmwRGAjBpIIpJkA6H9OJ0SfGJf/qrKttkt4ZSJmvQzQou0u7EiYi637voZ80yb\n8/Oc9lpGj6KUZUqg7KwAGmfrTz8jmK6c1Lt2Q46sBspJvWK6qVAP/XCouza5TqWwxkCaB6kdwEys\n6uQkRXm841GCAFPrqrNTGlNmNyfCKgDK/hBSAEKjcCZ9IKZr4Sb9Lx46pZxeoE2d1AcDVGdt+KbM\nXchxq5NjjerV8Kxo2k8c1Vv77diEDN9uLt633rVW3VH26VcVOl+PBIbybOvnz+jzZu6x91Nyz6uD\n/eRmCqg3f+temOhBF/17Kwr+0U3sAFQtCECVd7apsqyu1e9ZfL6rg30VBAjH1u/xQwxRhRXqaQHA\nj0hQEu7v4Zid4neIq9xcXcMPB2Qx0KuZJz/VF0uwymp6AM94qvq3TKeaPCX13VIFLXRva3IOBEWQ\nYTZTSAYxAqu1cvVVocjwjU7E8jLzjkFtGPg6BFunG62y69MohL/fGqiuXUpOFJK2Zcrfdc5Z17Jl\nl5dAr0hueU8TFl+feNGoiKMi2wJ7PYL3W+ZSNZnA+sZXx4fpK3Wd3Vf98oU+d7GV1S2+LFjOpR2d\nUe5WB/tpMplMENh2QiGoclcwnRIt93CK9es3ScUpBU+MCEX60Q+HCbqbL+D3+YXnOqhS07Oa7KU6\nA8UzkD7x+4SFN2/epmfdNDpG4pwWL1nEBIv2wyGV4jPPurm+UfZJ1v9AS4Xq92kBd2zNK2N1/fnr\nliDImSS0H430uOsvXrd2pRIciJBJbYFF2Wya3x/rMWVS1rHL9yyLThJwsaL46DAFYLwTam5udOew\n/uK1FphR2Ibf7+rFGXHPLy81JyO2CGLFUT87w/qzz1t4vlpESN/wPLgxZ7SlfXxQTHUcfyH+Ywqd\n+OEQ6PXghPEglrmzh7S1ZI6qFCmuJhPFnjsTWmL4ZdwQ/c4ORet8Lin8UBb2VT/qplH7AQC5cVJJ\nkxSIaDQiuTJ7tLs+0TRR17TDWFMBjergAPHhAWGxSDaeQiOT6jtVxdhrL4lmRrtA0ySb2bpG9fI5\nwptzgq8e5p2RwFO2udtaFw2sOj5Gc36e6GjFZ4RmJpWa4nqlNLlqOgXqGlivN8IcnTqCJ1j6PsZR\nV1MuNrZyVcVjrgJCyMaYSM4th7rkmgsUkl3DeEwUyNlMA5L1m7fkxd00xGtvGhXGieK0OT+n6P/s\nVC2Us74wOoTWfQ1SsXVpeq2+Qv3iGdafvybKXYgUzKyoSDUa3hH1arq2+SJBaF33uA26MZx4t7tL\nNV2fP0MMgeoPn52yn1O6VrU+ttREoXyasVsdHyHeP8CNRrrgqc6A6ZLkcX+ncIffIXthS6FW+Pbo\nUN0l/WSCOJtlala3u0PnG/STFa9xwGw9A+HPS97EcPmpaIyUzSTkwNot/138Dq4/oJj1Rzexi7tj\nyS8tOaVAPqBLnqmo+9DrI3CxgtiY8nNAliSVSd1ai6qibjxm3PKOEm+2viq3bEAUns/Ko+VES3iY\nq6d7XK/hp1M10NpU39S6H1p6WoZLWozvA4QqP9JmcOMuPNc2jVTL6yy55IBOnsJSyrzjjZjJnx5T\nJaWOY1UH+/mkJL8HsVfKCk66tS/w6NJjPPPZBxTykLEE71BNDxBubhVHh3MZBivahcg+Q7ZP6pcv\nENhDRIMSHuudYjHh37NDaVwsdELNcjtlsrx8r7qeR9m2/E76O8znFP0+PKA6O1VxDnyVYflW76HP\nIFCZSOec8rq7hFXVZILGsIf0GpjVFISEIMeyuoTCLrszb+AcMVmM2FDPYYWNpu9KX30hQDSXlyrK\nAkCFYVggGRcLNSuzgru/g9/BzQdM7B8dFOO8p3JX/VyOrNGYeeGVzF9YBFQH+4hrqqTu+hSBKx3s\n6DCrYiTqMydwC3NLLa4X5ws0F5eJeskDUaAWgHBmGWTZoFmSRUF1fESsHmYr+L0RHNO/mvNzlC51\n9bOzNDnUNWGfHEFqVh+0bayOj2hyqzxFIVsm9RJzb1H+bD+aLaBsqR9tXfS90jDK0Nwyqptzmr8A\nZMHNmTIaGXojDOG/Y9Ng/b0fpOvkXY7K8a+uKUdjqYcxqougMhrY80SqLQn8U798wVF7vvUPd0Rr\nQ4yZWyAA9YFpLi5TtDchponFvJvLSzSXbAAlk78c/+I9TQLOIcweaMIRT39jtYHAxRxEYr9OBVgk\ngGtZ6jJP3dU9gi2Oj7JxKDi04tHsVlhixACUNaI5Je5vABTdrtc0qftKr9NWXyLhzp4+g7heo35+\nBqxWaoMg0S4VWucJcCQJYmKdCAYOQFlNru5p/kHGUPWHfpICOLlfziWE+3vUz874/HSs6nCqfe13\nkilXNZkg3M20Wpdy0ZnCbG0+4nyhgo68poQAACAASURBVDPX65Hb7O2t9ndzeckMtx6q42NyBWUG\n4Ie2jzNir/4JHZxlhRSRpWeshg1SZlGGqaKrI7qwSkIbPXRt2WU7B/CCwLgnAGVPqDjJKNIEh12/\nfqPJ0HA347qsy8yHRrbSme+5RGddEbmwOZBW+Iwd0DHJlxFZxiLZsChsgjCebD3Q0bosCLaqUgtY\nrOtc1fERwvWtwnStakRAd5Tpq6yilfysaxy2zr3pmu1uQ1TJtk8kQjS7U42si0IPdncqDJpN92LP\nUb98gfUXbz4oGac71ULlCeTRaXWwr0whpf15j3B3l8FIck2yM00nMvdS7NJaz4Jb/Y2vId7Nkone\nI8UvNo3PTVWq5HcCBZVFMaqjQ8TZfQbDZseVAIYdZTdZbHTdW3V0qH5OllXjRyN8+/6/w3Xz7qsb\nsQO0ImYrskQBMdCKNhggSiQLkEHT0SHCcqXJN23BeFYfTjWxpDzhobBcQgavBJ6g5Xh+NAKEOiVy\nd2bQ0IEYChAu+ZDELZ79r9ev3+iLgNVaMTWlz43HhK2Lkm5JZe+qs1P4yViTYXJ+VVAKVznGlAf4\nxicpQWesBrR/9/Jkqt2SyxY0ex6jUbJQLpKRpa+6HK862FemSlekLwuj/l+23l34sLEWCB0vqfUi\nb95daBKwOj7qVCN2QgdGtObqOjFJgDTxSPNVEpNZHj/X15V/u17iamvkLH7sRhgX7u7UmlWeYXN1\nTTvC0uzL+Ux9LaK55MdToTo51t+vP/s88d6PTFJZuN2yk2UjPblWy25yO0N9X5rLy6xf3c4OwZ4s\nuAkClxjdhTyfyNYDMobFmrc62KfnJX06Isqh1laQ5GZdI7x+S8aAMr554qyOj1KkzP2gzCH7TISn\nv6A6CdZSWvqF9CpU5UlqNih8dn2jBIHMpx+J0eN3dxlSmWfajmo6JQfKo3YytJpOyR6a687Sg2Bo\n7A+CuyMAmqRkq8oRjAw2z6ZJbo8LCjOeTcUIGjTXN8kJUnBEjgDCzZ3il5pkDYFWyELGXO1P4AcD\nNNe0xUPTIMweKHLe2aEXtUkRoJgYhYe50taau1m29Wuuuer9YAD0e6gmeyyF9wiLRaogNBzCjfdo\nQlkssP7iNRqOUhwXmpbFTwZW/ckrvXb3QIW4rXzbOYfqD/8UXYdEgrLLMUW1gTwiFgqY7R99GeVx\niVAE0IUtrtYbqXDVwT6q6QHQNDrwhV6XLGUNfdFG/UbAIZNjxpDh41Vnp1rwWe4V6F5k7LHEFrd5\ne65MGy2cLhTLYOwf7u+TqvfmRqmW9t/SL8KK0O1/jLpQUdLd62cAM15gJmJOmlcnJ+pYqWIZAH5I\nrA0KNBJkFBcLhOsbXZj9ZE8nMQBpUgZU56FVh27u9DqryQTgSLy5ulbmlfLmD/ZJNXnxnhSYdSoW\n7fYnmuT2R4daz1YSuMJWcrs7SRA1GKRyl0IjZCKFGwxQf/IqUZL3RlDBm0B4ISI2gfINsmAx3Iu6\nRmwC6k9eabHzuErWJHGRFKu0uHt4hlwAID7MM3dMcc8MrBxFaBCub/X6mstLNOfnWL9+ky0Iirvz\nAhfm8yzoaS4vWzTwx9pHB8Xs+kk8Gn4ChICj1TGeHf1D5PTIlcjdcJC8M1ZLSkTWqb6gWgB0wBay\njewUlQhmNh5nGLm0MkmpJmA2OSfyc7nOXk9rU5bCqiwBKxl+jhTXX7zRragVyljZeqdgi49Tv3qJ\nOKOkmcBDIlDRBBA3da807I7q+TNyzSySRF2QRHV0qFWk/HCg0JJYMJSiLlf3CCNlczMgsTPKYtNd\nW1bxCYlLWowlgdoyc5I+LRwjETaUOQO9YG5np1VecCsE1ME2UehsMFDXx7gkVWXz7iJPsNVUPMIm\nA62Tpasq+OmUGBlcHzfrjw6ILMN6e7yzZGZPXC6J481wX2yCmpaV/W+dCKXfiWK8ylhMytjqELK5\nfj/j+7teH/7wgN5peYbzuUIcrt8n1WvltfBz/fwZ4sNDRk+MZlz540M0n7/RKFveufrlC3oH7h80\nGNGgRvJV7FTZGnuSe9vdRfPuXRahS/LXOr9qdanVGl4mcsmdgWsb1BXi5bUyn2yxb0Io5qgODxDv\nCal4u/4h3uELxOUS7+Nb3MfbrzYr5heHv9Z2hxPp8Nkp8DCnh2+y28KMECxbmsXFAcbWlktKuHqn\n0cJjGKTW6iwwUknOyYruejyhSY1J+f7BPtH6zH2VRYkztVxHZt6yAYRpo5NBgcn64ZA4z/1eq1hE\nV+5CKJOKixY0PmAL06aDqSRagKx/5Rk+pta0uCeQ+rFUupa/t981fRBXy2yCL0UxJU69zfFPjyP3\nYhcJl1sHtxSwwuKRc4rdbK9PCdaiTzK1qLlX2RVZ6p3N9XQ+o+IZiJ7DDwY0LkurZ7k/LsCOGBEe\nHlCdniDe3un4q6ZTckXdHyfKn5zS4N9+OFRc2va/sFlkoS/HveZOhBZrrtPv7raojdZLSiyRq7NT\nwHtKXp6f54uhz+vGdj/09KwkqdpcvKd3+OufILw5z2v/StH6h7mqgHV35EmLIdRmf7CPeH0Dtzei\n/ttAl/wDwYqJjEG3svfO0aBiJ8eMzM8PZ/32XSZwCu+vkuK019fCDs3Njdbv1HqQJyeJCQEaOPWz\nM91aSkZemt/bIz8Iho2qPWLShNtbPaZ4esQ5F4GYTuEZZ9Ro3mLUMjC5YIfUywSgW2vX72l0ooyP\n6xtUf+gntQhE4O25q1LtTmfYDkCOa0tJOVVjyktuvrMxgWjwbMfVg6wAxPrmAEVFIRYAWTxZMGGE\nJinxzHF0YrWMGRY1efbZByjC1pyFeW5STAW+UmaMbcpEEoxZcOjhMJURFBWhmbikvwQrFiiK8imF\nhiBGNdqyBTKybl0RQ4Im2aCMqKzgda+fLUKyyCsGLmNfaL4MVTjGgQkyonGSwQN8H1Kqze3u0HvD\nYicrPIurJZp3FwkL53GelazzHnCeJz0S8lTTKTNcdltwnRO8X97xnaEKAtWvZblElKTmyQlxzder\n5EdUVQQpXV5h/cNPEZj5FGOqnOR3kmGaZWa5wYA0BpIL2SEl7fr1G53UAWD9/R+mhVzes50d9iOi\n+YF2RuzgenVNEO39Pc0dF+9pwZcxKA6QvspzDF91jD2G0Iqe62dn2cOkrduUIgjG9DSq5ElPqibF\n1VJxMY3YjBMenE/qtxjIqIhhESl+LSwcSWJo4tXUvgQAmNqhOqHwBCeJv+bykgaCwYql4g4ZhK1S\nctZ5ZbwI3CQybTW84uLeiBHh+59SlFN53RE0NzfJPdGYeQHIdh6SkCsnGOVvdzgiCgYKXxFeujfq\njnQLvrQk8dI9cgRjLFRtslEPw9tjrUNbJMmbO3IxLPMl8vvsGrgCk3gLldcrCTKbkLN1MKVPpC8F\nIw+zWWKNnJ0qL7lLPSj0VNtHajQlE4Ikgg8OaGKLgaAJ6asYKGdhEqPW/kDzQJ5487K4Bws78Lsh\nroKyE7WKTsHD5b5bzVdaC0EwY7k+OiEtTLLYr7//Q1oUOBACGDpZLpPJGFtc+91dNG/e6u5cvX/k\n3yDYozk/T+9u3SMIShLHkwnBp4sFvKlmBgD+6BD1yxfwB/uoxmN1WFy/fqPkBMmtAaDAbDzW+rZq\nr8DvmUCbzdW1BpDVyZGWLBRapuuzs6N3lP/jfqyOj1QgBucICvrA9tFN7HAchTAmLpFtYHhCHedu\n71AdTqmz2f2uOjpUVVtYLOBHO5TUevM2TfycrVes1iRLmncXiE2APztRIZEkjZrz88Q3vSORktvZ\noZddEmkX7zViBpC8XMCTmHhyMBwUm6AMC+Evi6ydJnFTco6vX2GZqkJzecU+NwvFtOW66OW64j51\nWTQmTbxpYOAfG53qPcj1sGw6XVTMfVmYzwsUC4CJNqqDfWC1VrsHefGFTWEl+6U1anLOZH7vcJBF\nW8JwUOyeJehyr/SPisaPHMtXcGaXBiBbGEjlnOwp6Fw1qp/6JuHHfL3KuZdj8GQk928l5dKaq+vW\nbkbHRYwKY1XHR5qEjyGSpJ2TxBoFXrxH/exMlaxyz1opiO16bcAh1+P6/XQ8hl1cvwdwmUZXc1F2\nptdqICJ9xFxtmSyjsNOApLju95PHkSRwJRnKTbD86uw0qbhj0IIamhiXGgaWsivl9zja9jtDPXZz\neamJTQCk2r29zSbXcEOLCYr3RAvey3vMvlJi6evqni72GvwMUt1jJRmwGKm5voGfTDRyh6/Ih2p/\nnPQqHOSo3fCXgMs/Oox9vzqO36r+FIA0KKyZVlwsNGIRcYNzZLurL/ZiQTaeN3fwIxKfWCWgjdxL\nLKuaTmkw3c1o+84Relwu1THSuuRV0ynL+G+yYyqdj2uWWqw/wx7VzpWKC3eVPhMJOmIkccvVNfzJ\nMZq355oYdcNB4tqenKj8OcOzy1xCl4q34zM0KfgWx7vaGyFGLuA8HMIfHWL9+ReE2xY8X00WC8Zr\ncwfmOQguWnK9y+tXdXBpIiWUUrleUQzO7lGfnSDccI1ZHguSg5DouxqPCcs11EeVgfMkCUAVyRmT\nxE40JrkttS6BtECLIE2Ulq28g3U1FDVmRzL5MTuIMvci5y7L28k5Ld7cWa3L2nCwGGtTPkKvYTql\n6J93rxRQ1Ck5+uxME5xa6o4X/PrVy3b5S2MnYMtMWiWzqDjFqbE6O0XzlnMhHEBopStfZcn87Dyg\nhd6Nx2ocFx8e4PdGqhxVyG28hyi7Rs4V1K9eIry7SCX0zHtqNSgyxuuvf0IJVn6v6k9eIVxd49u3\n/+2Pz1LAOfdtANIbTYzxV5xzhwD+MoDvAvhpAP9WjPENf/7XAUwATAH8jRjjb5XHnPjD+Eujf4r+\n4z2ZFk0PCIuazzMPGcGEJVFZvkxdNTCtUEQmEdkNiF1AuJtp4k/qHzY3N4kBYl8k45Uh12Z9Q+Jq\nTcc9O9WBDSCz8QTQqicp5mWoa1pMuCBHXK91krTycHV/3N3RAuCEazr15FCPEkn0eqeLl/SNCjMk\n8dg0yfq1mLx0UjFJQ016DQYUmbBvd3ig6KvFVOE+bFnSys9tAnoyoeQyS7C3ti0J8a7FQ2ik8l3n\nSdUpQQFWxAIR4y55hgghU3iW53Y9qoepC10hWxeRDoAkVtt2W8MhJdyaoH0rStlW7sKcT/uQk52Q\n+xNmlq+yRF/mKXN0CDccKrunfnZGVgHM7xZ41Cbnxeo4NkGDmzJ5ThWGlvBHU6y/94PMRsCOFdfv\nwU/GVFWsoapi+n4aYaB6Mpk5YVOrTk7ofWT2Ed0H4fOSEC/FSbLTlnxEmM1UAFYuDBJ8NpfXrZ2c\nXKfs4mxAZcWIIsasX77A7372n39Q8vT3OrH/RozxN4qf/VUAvxNj/C+dc38OwD8bY/wXnXPfAvCX\nYoy/5pyrAXwHwM/HGLNwYuIO47f8r+qg9Ht7urK2JpYuBVcX9cpktQWKEQ8NALBKN+l4690OgAfq\nTjpejPRSc3LTJmxQVTqpbVoMhHEi22RZOMRetIyy5LzWr8LvDOmlkQXOvpRmctFCy3ZSKahzJZtC\nFoYsYVpENk9R/Skzprj3LnpZNtnKx3lR8KNdrXkrBloAlG3Q3N4yNLJHibzjI8SHOZmuGcxZE+CK\nxdYbTcHsyyXX6CShXRTmFtaLRLz6PAYDVWF2euJI37NB2zbvF3s95SIv94aqUtMu67HuhwNd9O39\n+ckeXL+fCrZnnd9mRmWLVl0TH/3N28Ra6XgfAXTCCWoPUFBwpa/9eC89uw6Vbuq7B/L6Ke0S+L7V\nvM3CfauVsm4kmBJKsev3O5PZ1cE+7QQ5sFCxWQzZYvSYGligqMhzSJjNsjmo3IkAP35WzB91zv15\n59xvOOf+DP/szwD42/zv3+X/A8CflZ/HGNegif1PtI7oXPJ+iRFhdq84rkTB1XTK7JUdwlEP9lMG\nma1zbW1R3eZ842ta6sqxEAiAKgwFP3Rj2mIKBuinU5oIdnfU30SilNg0Gk0jRtpeLxZKwWreX6rQ\nRWxcld3BL3vkyERe0OY6ecdbTLban8BVPvlszGaA96lMGWOopIpNlrP6MovYgmssWmVsbBLboJpO\n9dr8aJSSnVx+TJOJBTtDr/PkJA1UqwY2k4Jg3JIoFI605FXEq0WsfTUqZEhKjhfXK8IqY8wiaTHN\nig8J7tG/WQjkD/ZJNDMaGdVjwkldr868WPT4O8NW5SjaraQkPlYr1J+8Skng5TKJlPSAMbtuGRNy\nDynxyJDciIRxVtUr8FbpDVOqZcP9PZr3V5lC1fV7JCS6vGqrh82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uK5sQe0xLvDI0DwZl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diKponvul3YmrdwjmBwosXBMLxif4/kl/kzEiITy81adhLeEh0eSRqH5RLFawcR3magjaEO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\n9S1ELFvqy6CDqqNjFDuTZPJqPHAFN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XSJs9OIbd24ebzXw4fRvmwo5YJGw92EVKztzDQ1gveCivTQbFnG8PC+puF0jT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8w5MS1Fme0YlTTITCdgThrPS4hn34H89AUkDFsMybKi3/e1tS7EZ+V1Z/0qErvZZ4hNgBmD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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(diff1, vmin=0, vmax=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "np.isna" + ] + }, + { + "cell_type": "code", + "execution_count": 234, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([3348338, 3349975, 3349976, ..., 10240, 10241, 0], dtype=int32)" + ] + }, + "execution_count": 234, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "S_d1.indices" + ] + }, + { + "cell_type": "code", + "execution_count": 255, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 266 ms, sys: 619 ms, total: 885 ms\n", + "Wall time: 884 ms\n" + ] + } + ], + "source": [ + "%time test = S_d1.toarray()" + ] + }, + { + "cell_type": "code", + "execution_count": 258, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "399" + ] + }, + "execution_count": 258, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(groups)" + ] + }, + { + "cell_type": "code", + "execution_count": 253, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 15.62470961, 14.00362091, 15.96754728, ..., 15.08132736,\n", + " 10.72341456, 17.17733658])" + ] + }, + "execution_count": 253, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "groups[10]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 202, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "test = binned_statistic(rho, diff1, np.std, nbins)" + ] + }, + { + "cell_type": "code", + "execution_count": 189, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 0, 1, 2, ..., 1988, 1989, 1990])" + ] + }, + "execution_count": 189, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(rvals-0.5).astype(int)" + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "from scipy.sparse import csr_matrix\n", + "N = len(diff1)\n", + "r0 = rho.min()\n", + "r1 = rho.max()\n", + "nbins = rvals.size\n", + "\n", + "digitized = (float(nbins-1) / (r1-r0) * (rho-r0)).astype(int)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 193, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(4194304,)" + ] + }, + "execution_count": 193, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "digitized.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 195, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1991" + ] + }, + "execution_count": 195, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nbins" + ] + }, + { + "cell_type": "code", + "execution_count": 190, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "ename": "ValueError", + "evalue": "row, column, and data array must all be the same length", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcsr_matrix\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdiff1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mrvals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mN\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshape\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnbins\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mN\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/Users/jwstnircam/anaconda2/lib/python2.7/site-packages/scipy/sparse/compressed.pyc\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, arg1, shape, dtype, copy)\u001b[0m\n\u001b[1;32m 46\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindptr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_swap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mM\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mN\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0midx_dtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 47\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 48\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 49\u001b[0m \u001b[0;31m# (data, ij) format\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 50\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mcoo\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcoo_matrix\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/Users/jwstnircam/anaconda2/lib/python2.7/site-packages/scipy/sparse/coo.pyc\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, arg1, shape, dtype, copy)\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 181\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mdtype\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 182\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 184\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/Users/jwstnircam/anaconda2/lib/python2.7/site-packages/scipy/sparse/coo.pyc\u001b[0m in \u001b[0;36m_check\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 217\u001b[0m warn(\"row index array has non-integer dtype (%s) \"\n\u001b[1;32m 218\u001b[0m % self.row.dtype.name)\n\u001b[0;32m--> 219\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcol\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkind\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m'i'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 220\u001b[0m warn(\"col index array has non-integer dtype (%s) \"\n\u001b[1;32m 221\u001b[0m % self.col.dtype.name)\n", + "\u001b[0;32m/Users/jwstnircam/anaconda2/lib/python2.7/site-packages/scipy/sparse/coo.pyc\u001b[0m in \u001b[0;36mgetnnz\u001b[0;34m(self, axis)\u001b[0m\n\u001b[1;32m 194\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcol\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 195\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'row, column, and data arrays must be 1-D'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 196\u001b[0;31m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 197\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnnz\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 198\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mValueError\u001b[0m: row, column, and data array must all be the same length" + ] + } + ], + "source": [ + "test = csr_matrix((diff1, [rvals, np.arange(N)]), shape=(nbins, N))" + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "test2 = np.array([np.std(group) for group in np.split(test.data, test.indptr[1:-1])])" + ] + }, + { + "cell_type": "code", + "execution_count": 183, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(1992,)" + ] + }, + "execution_count": 183, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test.indptr.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 171, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def binned_statistic(x, values, func, nbins=None, range=None):\n", + " '''The usage is approximately the same as the scipy one''' \n", + " from scipy.sparse import csr_matrix\n", + " N = len(values)\n", + " \n", + " if range is None:\n", + " r0 = x.min()\n", + " r1 = x.max()\n", + " else:\n", + " r0, r1 = range\n", + "\n", + " digitized = (np.float(nbins-1) / (r1-r0) * (x-r0)).astype(int)\n", + " S = csr_matrix((values, [digitized, np.arange(N)]), shape=(nbins, N))\n", + "\n", + " return np.array([func(group) for group in np.split(S.data, S.indptr[1:-1])])" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "rho = rho.flatten()" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "urho = np.unique(rho)" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 5.00000000e-01, 1.50000000e+00, 2.50000000e+00, ...,\n", + " 1.98850000e+03, 1.98950000e+03, 1.99050000e+03])" + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rvals" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "bins = np.arange(rho.min(), rho.max() + 1, 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(1992,)" + ] + }, + "execution_count": 134, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bins.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 559 ms, sys: 4.78 ms, total: 564 ms\n", + "Wall time: 562 ms\n" + ] + } + ], + "source": [ + "np.histogram(rho, bins, )" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([3427382, 3425334, 3427383, ..., 2048, 1, 0])" + ] + }, + "execution_count": 118, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from scipy.ndimage.interpolation import rotate\n", + "def rotateImage(img, angle, pivot, trim=True):\n", + " padX = [img.shape[1] - pivot[0], pivot[0]]\n", + " padY = [img.shape[0] - pivot[1], pivot[1]]\n", + " imgP = np.pad(img, [padY, padX], 'constant')\n", + " imgR = rotate(imgP, angle, reshape=False, cval=np.nan)\n", + " if trim: imgR = imgR[padY[0] : -padY[1], padX[0] : -padX[1]]\n", + " \n", + " return imgR" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Convert back to V2/V3 coordinates\n", + "diff1_v23 = nrc_utils.det_to_V2V3(diff1, detid)\n", + "diff2_v23 = nrc_utils.det_to_V2V3(diff2, detid)\n", + "\n", + "\n", + "xnew_flip = xpix - xnew\n", + "\n", + "diff2_rot = rotateImage(diff2_v23, roll_angle, (xnew_flip,ynew))\n", + "im_final = (diff1_v23 + diff2_rot) / 2\n", + "nan_mask = np.isnan(im_final)\n", + "im_final[nan_mask] = diff1_v23[nan_mask]" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "im_final_shift = nrc_utils.fshift(im_final, xpix/2-xnew_flip, ypix/2-ynew, pad=True)\n", + "im_final_rot = rotate(im_final_shift, PA1, reshape=False)\n", + "im_final_rot_sub = nrc_utils.pad_or_cut_to_size(im_final_rot, (800,800))" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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LHj6X6zVoHCql1TB0CbglFPGciXhLVDrZ4bwllNUKtRImr1xLerl0CiuLifMV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RlzhZxYcfdOOGtJdsgDMCNqRgPKRMosCJH1Yemzt9rnYwMgBkcw5RVICF9BjROLmH5/elEuanQ4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\nX/oqHG5Wb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D2eH5tCofAQeuaA8bUP4rKxxFkPjxe8/T98H4ZL6TY2o13bfFNE1Ez5hl14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\n5J0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BT+xGqqbxY01qMF/z2o0rNOsDph82rmfy+Ed16MaY7wBuB46M/fNrgQPhz7eHvwO8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WMRMdktfM/VZqB2nJ4UzaLCKjgswpmhmqkbm6e1R9YARSfrc1XL/rUA8C7k0pU/+BF0fyiO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\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VrEvqp40fnYMIQNJT9Y3LNqn8vihbh/TOWT0KQJ4AnDVClUUWg2jbKbMEyDGAlDm/aghx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\nQ+dG3eqY2nMbnT5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pG0cUrTrtW0zYIT0XhPWRWVjfEQCAmOjrjD7LVDH2HdMex1gfiwKTecvXNRZK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\nLEO6gTjrw/8AAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,1)\n", + "\n", + "ys, xs = im_final_rot_sub.shape\n", + "extent = np.array([-xs/2,xs/2,-ys/2,ys/2])*obs.pix_scale\n", + "\n", + "ax.imshow(im_final_rot_sub, vmin=-3, vmax=5, extent=extent)\n", + "ax.set_xlim([-5,5])\n", + "ax.set_ylim([-5,5])\n", + "ax.set_xlabel('Arcsec')\n", + "ax.set_ylabel('Arcsec')\n", + "ax.set_title('Fomalhaut - {}'.format(obs.filter))\n", + "\n", + "ax.tick_params(axis='both', color='white', which='both')\n", + "for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + "# Location of planet\n", + "loc = (np.array(obs.planets[0]['xyoff_pix'])+0.5) * obs.pix_scale\n", + "circle = matplotlib.patches.Circle(loc, 0.5, lw=1, edgecolor='red', facecolor='none')\n", + "ax.add_artist(circle);\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1.5, 2.5, 3.5, nan])" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "test = np.array([[1,2,3,np.nan],[2,3,4,np.nan]])\n", + "#test2 = np.array([2,3,4,5])\n", + "#np.nanmean([])\n", + "np.nanmean(test,axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/NRC_GTO_Fomalhaut.ipynb b/notebooks/NRC_GTO_Fomalhaut.ipynb new file mode 100644 index 00000000..9445162a --- /dev/null +++ b/notebooks/NRC_GTO_Fomalhaut.ipynb @@ -0,0 +1,1476 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "\n", + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages\n", + "import matplotlib.patches as patches" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import S\n", + "from pynrc.obs_nircam import model_to_hdulist\n", + "pynrc.setup_logging('WARNING', verbose=False)\n", + "\n", + "from astropy.io import fits\n", + "from astropy.io import ascii\n", + "from copy import deepcopy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Observations Definitions\n", + "\n", + "Functions to create at optimize a series of observation objects stored as a dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def make_key(filter, pupil=None, mask=None):\n", + " \"\"\"Create identification key (string) based on filter, pupil, and mask\"\"\"\n", + " mask_key = 'none' if mask is None else mask\n", + " pupil_key = 'none' if pupil is None else pupil\n", + " key = '{}_{}_{}'.format(filter,mask_key,pupil_key)\n", + " return key" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def model_info(source, filt, dist):\n", + " \n", + " base_dir = '/Volumes/NIRData/Andras_models_v2/'\n", + " model_dir = base_dir + source + '/'\n", + " \n", + " # Match filters with model\n", + " filt_switch = {'F182M':'F210M', 'F210M':'F210M', 'F250M':'F250M',\n", + " 'F300M':'F300M', 'F356W':'F335M', 'F444W':'F444W'}\n", + " filt_model = filt_switch.get(filt, filt)\n", + " fname = source + '_' + filt_model +'final.fits'\n", + "\n", + " bp = nrc_utils.read_filter(filt_model)\n", + " w0 = bp.avgwave() / 1e4\n", + "\n", + " # Model pixels are 4x oversampled\n", + " detscale = (nrc_utils.channel_select(bp))[0]\n", + " model_scale = detscale\n", + " \n", + " # File name, arcsec/pix, dist (pc), wavelength (um), flux units\n", + " args_model = (model_dir+fname, model_scale, dist, w0, 'Jy/pixel')\n", + "\n", + " return args_model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def obs_wfe(wfe_drift, filt_list, sp_sci, dist, sp_ref=None, disk_mod=True, fov_pix=None, verbose=False):\n", + " \"\"\"\n", + " For a given WFE drift and series of filters, create a list of \n", + " NIRCam observations. This function will calculate PSFs out to 320 pixels. \n", + " For the case of SW+MASK335R, we also assume that the subarray size matches \n", + " that of a simultaneous LW observation (320x320).\n", + " \"\"\"\n", + " if sp_ref is None:\n", + " sp_ref = sp_sci\n", + " \n", + " fov_pix_orig = fov_pix\n", + " \n", + " obs_dict = {}\n", + " for filt, mask, pupil in filt_list:\n", + " if verbose: print(filt, mask, pupil)\n", + "\n", + " # Disk Model\n", + " if disk_mod:\n", + " # Convert to photons/sec in specified filter\n", + " args_disk = model_info(sp_sci.name, filt, dist)\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt, pupil=pupil, mask=mask)\n", + " else:\n", + " hdu_disk = None\n", + " \n", + " # Create identification keys\n", + " key = make_key(filt, mask=mask, pupil=pupil)\n", + "\n", + " # Set the PSF size and oversampling amount\n", + " fov_pix = 320 if fov_pix is None else fov_pix\n", + " oversample = 2\n", + "\n", + " # Initialize and store the observation\n", + " # A reference obseration is stored inside each parent obs_coronagraphy class.\n", + " obs_dict[key] = pynrc.obs_coronagraphy(sp_sci, sp_ref, dist, wind_mode='FULL',\n", + " disk_hdu=hdu_disk, wfe_drift=wfe_drift,\n", + " filter=filt, mask=mask, pupil=pupil, \n", + " oversample=oversample, fov_pix=fov_pix,\n", + " verbose=verbose)\n", + " fov_pix = fov_pix_orig\n", + "\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def obs_optimize(obs_dict, sp_opt=None, well_levels=None, tacq_max=1800, **kwargs):\n", + " \"\"\"\n", + " Perform ramp optimization on each science and reference observation\n", + " in a list of filter observations. Updates the detector MULTIACCUM\n", + " settings for each observation in the dictionary.\n", + " \n", + " snr_goal = 5\n", + " snr_frac = 0.02\n", + " tacq_max = 1400\n", + " tacq_frac = 0.01\n", + " nint_min = 15\n", + " ng_max = 10\n", + " patterns = None\n", + " \"\"\"\n", + "\n", + " # A very faint bg object on which to maximize S/N\n", + " # If sp_opt is not set, then default to a 20th magnitude flat source\n", + " if sp_opt is None:\n", + " bp_k = S.ObsBandpass('k')\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + "\n", + " \n", + " # Some observations may saturate, so define a list of maximum well level\n", + " # values that we will incrementally check until a ramp setting is found\n", + " # that meets the contraints.\n", + " if well_levels is None:\n", + " well_levels = [0.8, 1.5, 3.0, 5.0, 10.0, 20.0, 100.0, 150.0, 300.0, 500.0]\n", + " \n", + " filt_keys = obs_dict.keys()\n", + " filt_keys.sort()\n", + " print(['Pattern', 'NGRP', 'NINT', 't_int', 't_exp', 't_acq', 'SNR', 'Well', 'eff'])\n", + " for j, key in enumerate(filt_keys):\n", + " print('')\n", + " print(key)\n", + "\n", + " obs = obs_dict[key]\n", + " sp_sci, sp_ref = (obs.sp_sci, obs.sp_ref)\n", + " \n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + "\n", + " sci = obs\n", + " ref = sci.nrc_ref\n", + "\n", + " # Ramp optimization for both science and reference targets\n", + " for obs2, sp in zip([sci, ref], [sp_sci, sp_ref]):\n", + " i = nrow = 0\n", + " while nrow==0:\n", + " well_max = well_levels[i]\n", + " tbl = obs2.ramp_optimize(sp_opt, sp, well_frac_max=well_max, tacq_max=tacq_max, **kwargs)\n", + " nrow = len(tbl)\n", + " i+=1\n", + " \n", + " # Grab the highest ranked MULTIACCUM settings and update the detector readout\n", + " v1, v2, v3 = tbl['Pattern', 'NGRP', 'NINT'][0]\n", + " \n", + " vals = tbl[0].as_void()\n", + " strout = ', '.join(map(str, vals))\n", + " print(strout)\n", + "\n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " # Only for Debris Disk program\n", + " #is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + " #if is_SW: v3 *= 2\n", + " \n", + " # Coronagraphic observations have two roll positions, so cut NINT by 2\n", + " if obs.mask is not None: v3 = int(v3/2) \n", + " obs2.update_detectors(read_mode=v1, ngroup=v2, nint=v3)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting contrasts and planet magnitudes\n", + "\n", + "Functions to plot simulated images and contrast curves" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def plot_contrasts(curves, wfe_list, ax=None, colors=None, return_ax=False):\n", + " \"\"\"Plot a series of contrast curves for corresponding WFE drifts.\"\"\"\n", + " if ax is None:\n", + " fig, ax = plt.subplots()\n", + " if colors is None:\n", + " lin_vals = np.linspace(0.2,0.7,len(wfe_list))\n", + " colors = plt.cm.Blues_r(lin_vals)[::-1]\n", + " for j, wfe_drift in enumerate(wfe_list):\n", + " rr, contrast, mag_sens = curves[j]\n", + " label=\"WFE Drift = {} nm\".format(wfe_list[j])\n", + " ax.plot(rr, mag_sens, label=label, color=colors[j], zorder=1, lw=2)\n", + " \n", + " if return_ax: return ax\n", + "\n", + "\n", + "def planet_mags(obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Determine series of exoplanet magnitudes for given observation.\"\"\"\n", + "\n", + " pmag = {}\n", + " for i,m in enumerate(mass_list):\n", + " flux_list = []\n", + " for j,av in enumerate(av_vals):\n", + " sp = obs.planet_spec(mass=m, age=age, Av=av, entropy=entropy, atmo='hy3s')\n", + " sp_obs = S.Observation(sp, obs.bandpass, binset=obs.bandpass.wave)\n", + " flux = sp_obs.effstim('vegamag')\n", + " flux_list.append(flux)\n", + " pmag[m] = tuple(flux_list)\n", + " \n", + " return pmag\n", + "\n", + " \n", + "def plot_planet_patches(ax, obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Plot exoplanet magnitudes in region corresponding to extinction values.\"\"\"\n", + " \n", + " xlim = ax.get_xlim()\n", + " cols = plt.cm.tab10(np.linspace(0,1,10))\n", + " \n", + " dist = obs.distance\n", + " \n", + " pmag = planet_mags(obs, age, entropy, mass_list, av_vals)\n", + " for i,m in enumerate(mass_list):\n", + " pm_min, pm_max = pmag[m]\n", + " label = 'Mass = {} '.format(m) + '$M_{\\mathrm{Jup}}$'\n", + " rect = patches.Rectangle((xlim[0], pm_min), xlim[1], pm_max-pm_min, alpha=0.2,\n", + " color=cols[i], label=label, zorder=2)\n", + " ax.add_patch(rect)\n", + " ax.plot(xlim, [pm_min]*2, color=cols[i], lw=1, alpha=0.3)\n", + " ax.plot(xlim, [pm_max]*2, color=cols[i], lw=1, alpha=0.3)\n", + " \n", + "\n", + " entropy_switch = {13:'Hot', 8:'Cold'}\n", + " entropy_string = entropy_switch.get(entropy, lambda: \"Warm\")\n", + " ent_str = entropy_string + ' Start'\n", + " #ent_str = '{} Start'.format(entropy_string)\n", + "\n", + " av_str = '$A_V = [{:.0f},{:.0f}]$'.format(av_vals[0],av_vals[1])\n", + " age_str = 'Age = {:.0f} Myr; '.format(age)\n", + " dist_str = 'Dist = {:.1f} pc; '.format(dist) if dist is not None else ''\n", + " #dist_str=\"\"\n", + "\n", + " ax.set_title('{} -- {} ({}{}{})'.format(obs.filter,ent_str,age_str,dist_str,av_str))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Functions to init, optimize, and plot" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Generate initial observations for each filter(no WFE drift)\n", + "def do_init(disk_mod=True, fov_pix=1024, verbose=True):\n", + " wfe_drift = 0\n", + " obs_dict = obs_wfe(wfe_drift, args_list, sp_sci, dist_sci, sp_ref=sp_ref, \n", + " disk_mod=disk_mod, fov_pix=fov_pix, verbose=verbose)\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Optimize observations\n", + "def do_opt(tacq_max, **kwargs):\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + " obs_optimize(obs_dict, sp_opt=sp_opt, tacq_max=tacq_max, **kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# For each filter setting, generate a series of contrast curves at different WFE values\n", + "def do_contrast(wfe_list, filt_keys, nsig=5, roll_angle=None):\n", + " contrast_all = {}\n", + " for i, key in enumerate(filt_keys):\n", + " print(key)\n", + " obs = obs_dict[key]\n", + "\n", + " filt, mask, pupil = args_list[i]\n", + " if roll_angle is None:\n", + " roll_angle = 0 if mask is None else 10\n", + "\n", + " # Stores tuple of (Radial Distances, Contrast, and Sensitivity) for each WFE drift\n", + " curves = []\n", + " for wfe_drift in wfe_list:\n", + " obs.wfe_drift = wfe_drift\n", + " result = obs.calc_contrast(roll_angle=roll_angle, nsig=nsig)\n", + " curves.append(result)\n", + "\n", + " contrast_all[key] = curves\n", + " return contrast_all" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_plot_contrast(obs, curves, wfe_list, nsig, age, xlim=[0,10], ylim=[24,8], save_fig=False):\n", + "\n", + " fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + " entropy_vals = [13,8]\n", + "\n", + " for j, ax in enumerate(axes.flatten()):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " plot_contrasts(curves, wfe_list, ax=ax)\n", + " plot_planet_patches(ax, obs, age=age, entropy=entropy_vals[j])\n", + "\n", + " for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " ax.legend(ncol=2)\n", + "\n", + " fig.tight_layout()\n", + " \n", + " t_exp = obs.multiaccum_times['t_exp']\n", + " t_exp = round(2*t_exp/100)*100\n", + " fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + " #fig.subplots_adjust(top=0.85)\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n", + "\n", + " fname = \"{}_contrast.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Define Sources and their Reference Counterparts" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# source, dist, age, sptype, kmag\n", + "args_sources = [('Vega', 7.7, 455, 'A0V', 0.13),\n", + " ('Fomalhaut', 7.7, 450, 'A4V', 1.05),\n", + " ('Eps Eri', 3.2, 500, 'K2V', 1.67)]\n", + "\n", + "# Corresponding reference stars\n", + "ref_sources = [('Deneb', 'A2I', 0.88),\n", + " ('c02 Aqr', 'K1III', 0.94),\n", + " ('HR1050', 'K2III', 3.25)]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# List of filters\n", + "args_list = [('F356W', 'MASK430R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK430R', 'CIRCLYOT')]\n", + "\n", + "filt_keys = []\n", + "for filt,mask,pupil in args_list:\n", + " filt_keys.append(make_key(filt, mask=mask, pupil=pupil)) " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# K-Band Filter\n", + "# 2MASS Bandpass\n", + "tbl = ascii.read(\"2mass_ks.txt\", names=['Wave', 'Throughput'])\n", + "bp_k = S.ArrayBandpass(tbl['Wave']*1E4, tbl['Throughput'], name='Ks')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "outdir = '/Volumes/NIRData/'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Fomalhaut" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "i=1\n", + "\n", + "name_sci, dist_sci, age, spt_sci, kmag_sci = args_sources[i]\n", + "name_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F356W MASK430R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F444W MASK430R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n" + ] + } + ], + "source": [ + "obs_dict = do_init(disk_mod=True, fov_pix=1024, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "obs1 = obs_dict[filt_keys[0]] # F356W\n", + "obs2 = obs_dict[filt_keys[1]] # F444W" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Readout Patterns" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "BRIGHT1\n", + "RAPID\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 10 5 107.37 536.84 590.53 47.3 14.211 1.947\n", + "RAPID 10 6 107.37 644.21 708.63 51.8 14.211 1.947\n", + "BRIGHT1 6 5 118.10 590.52 644.21 46.5 15.632 1.832\n", + "RAPID 9 5 96.63 483.15 536.84 42.1 12.790 1.815\n", + "RAPID 8 5 85.89 429.47 483.16 36.6 11.369 1.667\n", + "BRIGHT1 5 5 96.63 483.15 536.84 37.2 12.790 1.605\n", + "BRIGHT1 4 6 75.16 450.94 515.37 30.4 9.948 1.339\n", + "\n", + "BRIGHT1\n", + "RAPID\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 10 5 107.37 536.84 590.53 47.3 16.494 1.947\n", + "RAPID 10 6 107.37 644.21 708.63 51.8 16.494 1.947\n", + "BRIGHT1 6 5 118.10 590.52 644.21 46.5 18.143 1.832\n", + "RAPID 9 5 96.63 483.15 536.84 42.1 14.844 1.815\n", + "RAPID 8 5 85.89 429.47 483.16 36.6 13.195 1.667\n", + "BRIGHT1 5 5 96.63 483.15 536.84 37.2 14.844 1.605\n", + "BRIGHT1 4 6 75.16 450.94 515.37 30.4 11.546 1.339\n", + "\n" + ] + } + ], + "source": [ + "# Optimize F356W\n", + "# We already did this for Vega and decided on RAPID, NGRP=9, NINT=5\n", + "# Let's confirm that these settings produce performance similar to optimal\n", + "\n", + "# Spectrum to optimize (some very faint flat guy)\n", + "sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + "\n", + "kwargs = {'tacq_max': 600, 'well_frac_max': 30, 'nint_min': 5}\n", + "for sp in [sp_sci, sp_ref]:\n", + " _ = obs1.ramp_optimize(sp_opt, sp, patterns=['RAPID','BRIGHT1'], verbose=True, **kwargs)\n", + " print('')" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "BRIGHT1\n", + "BRIGHT2\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "BRIGHT2 9 5 193.26 966.31 1020.00 77.8 12.326 2.435\n", + "BRIGHT2 8 5 171.79 858.94 912.63 70.6 10.956 2.335\n", + "BRIGHT1 9 5 182.53 912.63 966.31 70.2 11.641 2.259\n", + "BRIGHT1 9 6 182.53 1095.15 1159.58 77.0 11.641 2.259\n", + "BRIGHT2 7 5 150.31 751.57 805.26 62.7 9.587 2.210\n", + "BRIGHT1 8 5 161.05 805.26 858.95 62.7 10.272 2.139\n", + "BRIGHT1 7 5 139.58 697.89 751.58 54.7 8.902 1.993\n", + "\n", + "BRIGHT1\n", + "BRIGHT2\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "BRIGHT2 9 5 193.26 966.31 1020.00 77.8 13.707 2.435\n", + "BRIGHT2 8 5 171.79 858.94 912.63 70.6 12.184 2.335\n", + "BRIGHT1 9 5 182.53 912.63 966.31 70.2 12.946 2.259\n", + "BRIGHT1 9 6 182.53 1095.15 1159.58 77.0 12.946 2.259\n", + "BRIGHT2 7 5 150.31 751.57 805.26 62.7 10.661 2.210\n", + "BRIGHT1 8 5 161.05 805.26 858.95 62.7 11.423 2.139\n", + "BRIGHT1 7 5 139.58 697.89 751.58 54.7 9.900 1.993\n", + "\n" + ] + } + ], + "source": [ + "# Optimize F444W\n", + "# Similarly, we chose BRIGHT1, NGRP=9, NINT=5 for Vega. Will that also do here?\n", + "kwargs = {'tacq_max': 1000, 'well_frac_max': 30, 'nint_min': 5, 'ng_max':9}\n", + "for sp in [sp_sci, sp_ref]:\n", + " _ = obs2.ramp_optimize(sp_opt, sp, patterns=['BRIGHT1','BRIGHT2'], verbose=True, **kwargs)\n", + " print('')" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Update based on decisons\n", + "obs1.update_detectors(read_mode='RAPID', ngroup=9, nint=5)\n", + "obs1.nrc_ref.update_detectors(read_mode='RAPID', ngroup=9, nint=5)\n", + "\n", + "obs2.update_detectors(read_mode='BRIGHT1', ngroup=9, nint=5)\n", + "obs2.nrc_ref.update_detectors(read_mode='BRIGHT1', ngroup=9, nint=5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Saturation radius" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Determine saturation that isn't easily interpolated\n", + "# F356W\n", + "nsat_list = []\n", + "rmax_list = []\n", + "for sp in [sp_sci, sp_ref]:\n", + " sat_level = obs1.saturation_levels(sp)\n", + " #print(sat_level.max())\n", + " sat_mask = sat_level > 0.8\n", + " rho = nrc_utils.dist_image(sat_level) # Pixel distances\n", + " \n", + " # How many saturated values can we easily fix?\n", + " sat_level[sat_mask] = np.nan\n", + " sat_level = nrc_utils.fix_nans_with_med(sat_level, niter_max=2)\n", + " \n", + " # Set any NaNs to 1.0\n", + " nan_mask = np.isnan(sat_level)\n", + " sat_level[nan_mask] = 1\n", + " sat_mask = sat_level > 0.8\n", + " \n", + " # Get final info about saturation levels\n", + " nsat = np.size(rho[sat_mask]) \n", + " rval = rho[sat_mask].max() if nsat>0 else 0\n", + " nsat_list.append(nsat)\n", + " rmax_list.append(rval*obs1.pix_scale)\n", + "\n", + "nsat1 = np.max(nsat_list)\n", + "rmax1 = np.max(rmax_list)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Determine saturation that isn't easily interpolated\n", + "# F444W\n", + "nsat_list = []\n", + "rmax_list = []\n", + "for sp in [sp_sci, sp_ref]:\n", + " sat_level = obs2.saturation_levels(sp)\n", + " #print(sat_level.max())\n", + " sat_mask = sat_level > 0.8\n", + " rho = nrc_utils.dist_image(sat_level) # Pixel distances\n", + " \n", + " # How many saturated values can we easily fix?\n", + " sat_level[sat_mask] = np.nan\n", + " sat_level = nrc_utils.fix_nans_with_med(sat_level, niter_max=2)\n", + " \n", + " # Set any NaNs to 1.0\n", + " nan_mask = np.isnan(sat_level)\n", + " sat_level[nan_mask] = 1\n", + " sat_mask = sat_level > 0.8\n", + " \n", + " # Get final info about saturation levels\n", + " nsat = np.size(rho[sat_mask]) \n", + " rval = rho[sat_mask].max() if nsat>0 else 0\n", + " nsat_list.append(nsat)\n", + " rmax_list.append(rval*obs2.pix_scale)\n", + "\n", + "nsat2 = np.max(nsat_list)\n", + "rmax2 = np.max(rmax_list)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 0.0\n", + "0 0.0\n" + ] + } + ], + "source": [ + "print(nsat1, rmax1)\n", + "print(nsat2, rmax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Contrast curves" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F356W_MASK430R_CIRCLYOT\n", + "F444W_MASK430R_CIRCLYOT\n" + ] + } + ], + "source": [ + "# Determine contrast curves for various WFE drift values\n", + "wfe_list = [0,5,10]\n", + "nsig = 5\n", + "roll = 10\n", + "curves_dict = do_contrast(wfe_list, filt_keys, nsig=nsig, roll_angle=roll)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "curves1 = curves_dict[filt_keys[0]]\n", + "curves2 = curves_dict[filt_keys[1]]" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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Rkb4VfBZV9YT7CqqM/bErzgFoo9+o64FeFSxrG/Ae8Ae/sl8Bn+KcMUVEYsVpCn5ERKa5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\ndrIGSwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the contrast curves along with saturation regions\n", + "xlim=[0,20]\n", + "ylim=[24,8]\n", + "\n", + "fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + "ax1, ax2 = axes\n", + "entropy_vals = [13,8]\n", + "\n", + "for j, ax in enumerate(axes):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + "plot_contrasts(curves1, wfe_list, ax=ax1)\n", + "plot_contrasts(curves2, wfe_list, ax=ax2)\n", + "plot_planet_patches(ax1, obs1, age=age, entropy=8, av_vals=[0,10])\n", + "plot_planet_patches(ax2, obs2, age=age, entropy=8, av_vals=[0,10])\n", + "\n", + "label = 'Saturation'\n", + "if rmax1>0:\n", + " rect1 = patches.Rectangle((0,ylim[0]), rmax1, ylim[1]-ylim[0], alpha=0.5,\n", + " color='grey', label=label, zorder=2)\n", + " ax1.add_patch(rect1)\n", + "if rmax2>0:\n", + " rect2 = patches.Rectangle((0,ylim[0]), rmax2, ylim[1]-ylim[0], alpha=0.5,\n", + " color='grey', label=label, zorder=2)\n", + " ax2.add_patch(rect2)\n", + "\n", + "for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}$\\sigma$ Sensitivities (mag)'.format(nsig))\n", + " ax.legend(ncol=1)\n", + " \n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + "fig.tight_layout()\n", + "\n", + "roll_str = r\"$10^{\\circ}$\"\n", + "fig.suptitle('{} (Roll Angle = {})'.format(name_sci,roll_str), fontsize=16);\n", + "fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Full observation simulations" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "for k in filt_keys:\n", + " obs = obs_dict[k]\n", + " obs.wfe_drift = 5" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Select F444W with two rolls at PA of 250 and 260\n", + "obs = obs2\n", + "\n", + "roll_angle = 10\n", + "PA1 = 250\n", + "PA2 = PA1 + roll_angle\n", + "\n", + "xpix = obs.det_info['xpix']\n", + "ypix = obs.det_info['ypix']" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Detector ID\n", + "det = obs.Detectors[0]\n", + "detid = det.detid" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Get mask center from SIAF aperture file\n", + "from jwxml import siaf\n", + "inst = siaf.SIAF('NIRCam')\n", + "apname = 'NRC'\n", + "ap = inst['NRCA5_MASK430R']\n", + "mask_cen = ap.center('Det')" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Add Fomalhaut b\n", + "rtheta = (12.7, 318.0) # 12.7 arcsec radius at PA=318\n", + "# Output images will be in coordinates with V3 up and V2 to the left\n", + "obs.add_planet(mass=1, age=age, entropy=8, rtheta=rtheta, runits='arcsec')" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Coronagraphic Transmission mask\n", + "# +V3 is up, and +V2 is to the left\n", + "# Pixel (0,0) is bottom right\n", + "cmask = nrc_utils.build_mask('A', pixscale=obs.pix_scale) + 999\n", + "cmask = nrc_utils.pad_or_cut_to_size(cmask, (ypix,xpix))\n", + "\n", + "# Place cmask in detector coords\n", + "cmask = nrc_utils.V2V3_to_det(cmask, detid)\n", + "\n", + "# Shift cmask to appropriate location\n", + "# ie., move MASK430R from center\n", + "xc, yc = (xpix/2, ypix/2)\n", + "xnew, ynew = (int(mask_cen[0]), int(mask_cen[1])) # In detector coords\n", + "delx = xnew - xc\n", + "dely = ynew - yc\n", + "\n", + "cmask = nrc_utils.fshift(cmask, delx, dely) + 1\n", + "cmask[cmask>10] = cmask[cmask>10] - 1000\n", + "\n", + "cmask[1500:,0:260]=0\n", + "cmask[1500:,1900:]=0\n", + "cmask[1820:,:] = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Make zodiacal background image\n", + "im_zodi = cmask * obs.bg_zodi()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Disk Images\n", + "im_disk1 = obs.gen_disk_image(PA_offset=PA1)\n", + "im_disk2 = obs.gen_disk_image(PA_offset=PA2)\n", + "\n", + "if isinstance(im_disk1, np.ndarray):\n", + " # Convert to Detector Coordinates (flip along x-axis)\n", + " im_disk1 = nrc_utils.V2V3_to_det(im_disk1, detid)\n", + " im_disk2 = nrc_utils.V2V3_to_det(im_disk2, detid)\n", + "\n", + " # Shift to MASK430R spot\n", + " im_disk1 = nrc_utils.fshift(im_disk1, delx, dely, pad=True)\n", + " im_disk2 = nrc_utils.fshift(im_disk2, delx, dely, pad=True)\n", + "\n", + " # Mask out opaque areas from disk\n", + " imask = cmask<1e-2\n", + " im_disk1[imask] = im_disk1[imask]*cmask[imask]\n", + " im_disk2[imask] = im_disk2[imask]*cmask[imask]" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Planet Images\n", + "im_pl1 = obs.gen_planets_image(PA_offset=PA1)\n", + "im_pl2 = obs.gen_planets_image(PA_offset=PA2)\n", + "\n", + "if isinstance(im_pl1, np.ndarray):\n", + " # Convert to Detector Coordinates (flip along x-axis)\n", + " im_pl1 = nrc_utils.V2V3_to_det(im_pl1, detid)\n", + " im_pl2 = nrc_utils.V2V3_to_det(im_pl2, detid)\n", + "\n", + " # Shift to MASK430R spot\n", + " im_pl1 = nrc_utils.fshift(im_pl1, delx, dely, pad=True)\n", + " im_pl2 = nrc_utils.fshift(im_pl2, delx, dely, pad=True)\n", + "\n", + " # Mask out opaque areas from disk\n", + " imask = cmask<1e-2\n", + " im_pl1[imask] = im_pl1[imask]*cmask[imask]\n", + " im_pl2[imask] = im_pl2[imask]*cmask[imask]" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Create stellar images\n", + "im_star = obs.gen_psf(sp_sci)\n", + "im_ref = obs.nrc_ref.gen_psf(sp_ref)\n", + "\n", + "im_star = nrc_utils.pad_or_cut_to_size(im_star, (ypix,xpix))\n", + "im_ref = nrc_utils.pad_or_cut_to_size(im_ref, (ypix,xpix))\n", + "\n", + "# Convert to Detector Coordinates (flip along x-axis)\n", + "im_star = nrc_utils.V2V3_to_det(im_star, detid)\n", + "im_ref = nrc_utils.V2V3_to_det(im_ref, detid)\n", + "\n", + "# Shift to MASK430R spot\n", + "im_star = nrc_utils.fshift(im_star, delx, dely, pad=True)\n", + "im_ref = nrc_utils.fshift(im_ref, delx, dely, pad=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "sci_slope1 = im_star + im_disk1 + im_pl1 + im_zodi\n", + "sci_slope2 = im_star + im_disk2 + im_pl2 + im_zodi\n", + "\n", + "ref_slope = im_ref + im_zodi" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Superbias for data reduction\n", + "caldir = pynrc.conf.PYNRC_PATH + 'sca_images/'\n", + "fbias = caldir + 'SUPER_BIAS_485.FITS'\n", + "hdl = fits.open(fbias)\n", + "bias = hdl[0].data" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def average_slopes(ramps, bias):\n", + " \"\"\"\n", + " For a series of ramps, calculate the slope images then average together.\n", + " Would it be better to average integrations into one ramp, then find slope???\n", + " \"\"\"\n", + "\n", + " slopes_fin = []\n", + " for i in range(len(ramps)):\n", + " #print(i)\n", + " hdulist = ramps[i]\n", + " data = hdulist[1].data\n", + " header = hdulist[0].header\n", + " ref_obj = pynrc.ref_pixels.NRC_refs(data, header, DMS=True)\n", + " ref_obj.calc_avg_amps()\n", + " ref_obj.correct_amp_refs()\n", + "\n", + " # Subtract superbias\n", + " data_corr = ref_obj.data\n", + " for im in data_corr:\n", + " im -= bias\n", + "\n", + " # Create time array\n", + " ng = data_corr.shape[0]\n", + " tvals = (np.arange(ng)+1) * obs.multiaccum_times['t_group']\n", + "\n", + " # Flatten image space to 1D\n", + " data_corr = data_corr.reshape([ng,-1])\n", + "\n", + " # Make saturation mask\n", + " sat_val = 0.8*data_corr.max()\n", + " sat_mask = data_corr > sat_val\n", + "\n", + " # Create slope images\n", + " # Cycle through frames using only unsaturated pixels \n", + " im_slope = np.zeros_like(data_corr[0]) - 10\n", + " for i in np.arange(1,ng)[::-1]:\n", + " ind = (im_slope==-10) & (~sat_mask[i])\n", + " if np.any(ind): # Check if any pixels are still True\n", + " im_slope[ind] = pynrc.fast_poly.jl_poly_fit(tvals, data_corr[:,ind])[1]\n", + " #print(im_slope[ind].shape)\n", + "\n", + " # Special case of only first frame unsaturated\n", + " ind = (im_slope==-10) & (~sat_mask[0])\n", + " im_slope[ind] = data_corr[:,ind] / tvals[0]\n", + " #print(im_slope[ind].shape)\n", + "\n", + " # If saturated on first frame, set to NaN\n", + " ind = sat_mask[0]\n", + " im_slope[ind] = np.nan\n", + " #print(im_slope[ind].shape)\n", + "\n", + " data_corr = data_corr.reshape([ng,ypix,xpix])\n", + " im_slope = im_slope.reshape([ypix,xpix])\n", + " slopes_fin.append(im_slope)\n", + "\n", + " slopes_fin = np.array(slopes_fin)\n", + " slope_final = np.nanmedian(slopes_fin, axis=0)\n", + " \n", + " # Fix NaNs\n", + " slope_final = nrc_utils.fix_nans_with_med(slope_final)\n", + "\n", + " return slope_final" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "ramps = obs.gen_exposures(im_slope=sci_slope1, targ_name=name_sci)\n", + "slope_final1 = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "ramps = obs.gen_exposures(im_slope=sci_slope2, targ_name=name_sci)\n", + "slope_final2 = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "ramps = obs.nrc_ref.gen_exposures(im_slope=ref_slope, targ_name=name_ref)\n", + "slope_ref = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.183592069037 0.187980095803 0.177738883415\n" + ] + } + ], + "source": [ + "med1 = np.median(slope_final1)\n", + "med2 = np.median(slope_final2)\n", + "med_ref = np.median(slope_ref)\n", + "\n", + "print(med1, med2, med_ref)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "half_size = 100\n", + "x1, x2 = (xnew-half_size, xnew+half_size)\n", + "y1, y2 = (ynew-half_size, ynew+half_size)\n", + "\n", + "ref_sub = slope_ref[y1:y2, x1:x2] - med_ref\n", + "im1_sub = slope_final1[y1:y2, x1:x2] - med1\n", + "im2_sub = slope_final2[y1:y2, x1:x2] - med2\n", + "\n", + "# Scale factor for Roll 1\n", + "scale1 = nrc_utils.scale_ref_image(im1_sub, ref_sub)\n", + "\n", + "# Scale factor for Roll 2\n", + "scale2 = nrc_utils.scale_ref_image(im2_sub, ref_sub)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.926398383733 0.926210486289\n" + ] + } + ], + "source": [ + "print(scale1, scale2)" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "mask_good = cmask>1e-2\n", + "diff1 = nrc_utils.optimal_difference(slope_final1, slope_ref, scale1, mask_good=mask_good,\n", + " center=(xnew,ynew))#, std_func=pynrc.robust.medabsdev)\n", + "diff2 = nrc_utils.optimal_difference(slope_final2, slope_ref, scale2, mask_good=mask_good,\n", + " center=(xnew,ynew))#, std_func=pynrc.robust.medabsdev)\n", + "\n", + "#diff1 = (slope_final1-med1) - (slope_ref-med_ref)*scale1\n", + "#diff2 = (slope_final2-med2) - (slope_ref-med_ref)*scale1" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from scipy.ndimage.interpolation import rotate\n", + "def rotateImage(img, angle, pivot, trim=True):\n", + " padX = [img.shape[1] - pivot[0], pivot[0]]\n", + " padY = [img.shape[0] - pivot[1], pivot[1]]\n", + " imgP = np.pad(img, [padY, padX], 'constant')\n", + " imgR = rotate(imgP, angle, reshape=False, cval=np.nan)\n", + " if trim: imgR = imgR[padY[0] : -padY[1], padX[0] : -padX[1]]\n", + " \n", + " return imgR" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Convert back to V2/V3 coordinates\n", + "diff1_v23 = nrc_utils.det_to_V2V3(diff1, detid)\n", + "diff2_v23 = nrc_utils.det_to_V2V3(diff2, detid)\n", + "cmask_v23 = nrc_utils.det_to_V2V3(cmask, detid)\n", + "\n", + "# De-rotate Roll2 onto Roll1 \n", + "xnew_flip = xpix - xnew\n", + "diff2_v23_rot = rotateImage(diff2_v23, roll_angle, (xnew_flip,ynew))\n", + "# Follow along with the coronagraphic mask\n", + "cmask_v23_rot = rotateImage(cmask_v23, roll_angle, (xnew_flip,ynew))" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Mask areas with low coronagraphic transmission\n", + "# Cut-off at 0.5 to exclude aliasing of rotated mask\n", + "mask_bad1 = cmask_v23 < 0.5\n", + "mask_bad2 = cmask_v23_rot < 0.5\n", + "\n", + "diff2_v23_rot[mask_bad2 & (~mask_bad1)] = diff1_v23[mask_bad2 & (~mask_bad1)]\n", + "diff1_v23[mask_bad1 & (~mask_bad2)] = diff2_v23_rot[mask_bad1 & (~mask_bad2)]" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Create a final image\n", + "im_final = (diff1_v23 + diff2_v23_rot) / 2\n", + "nan_mask = np.isnan(im_final)\n", + "im_final[nan_mask] = diff1_v23[nan_mask]" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Shift to center, rotate North up, then cut out a subarray \n", + "im_final_shift = nrc_utils.fshift(im_final, xpix/2-xnew_flip, ypix/2-ynew, pad=True)\n", + "im_final_rot = rotate(im_final_shift, PA1, reshape=False)\n", + "im_final_rot_sub = nrc_utils.pad_or_cut_to_size(im_final_rot, (800,800))" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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c9DckGjTbttNJk7Gh1ZkzkqWKqtooek5sC1Opy1HlLHsvmUQGS+cW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\n67BWZMZJdSxfcDyhzLIOxRtxVu5YBi1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LvQAAOZTUABOtH3p3EgSUQji1ja56zNCtbUCb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Gq1Te5cnoYe1UlWMJGXfH0Zasnpj8sBFciKTVPx0A1Hkc1gcvMAYrJhDBVOvSienc2Q3NhDcvMg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10PKy4mCTvnRhyWCSddpqhheFGT49zfx/zZaFM7p6uf9xJTN+k0F/sLwmgHdbgMW3X8WLV9zq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\nrkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,1)\n", + "\n", + "ys, xs = im_final_rot_sub.shape\n", + "extent = np.array([-xs/2,xs/2,-ys/2,ys/2])*obs.pix_scale\n", + "\n", + "ax.imshow(im_final_rot_sub, vmin=0, vmax=1, extent=extent)\n", + "xylim = 15\n", + "ax.set_xlim([-xylim,xylim])\n", + "ax.set_ylim([-xylim,xylim])\n", + "ax.set_xlabel('Arcsec')\n", + "ax.set_ylabel('Arcsec')\n", + "ax.set_title('{} - {}'.format(obs.sp_sci.name,obs.filter))\n", + "\n", + "ax.tick_params(axis='both', color='white', which='both')\n", + "for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + "# Location of planet\n", + "loc = (np.array(obs.planets[0]['xyoff_pix'])+0.5) * obs.pix_scale\n", + "circle = matplotlib.patches.Circle(loc, radius=xylim/15., lw=1, edgecolor='red', facecolor='none')\n", + "ax.add_artist(circle);\n", + "\n", + "nrc_utils.plotAxes(ax, label1='E', label2='N')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/NRC_GTO_Fomalhaut_old.ipynb b/notebooks/NRC_GTO_Fomalhaut_old.ipynb new file mode 100644 index 00000000..72ff874c --- /dev/null +++ b/notebooks/NRC_GTO_Fomalhaut_old.ipynb @@ -0,0 +1,2017 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "\n", + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages\n", + "import matplotlib.patches as patches" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import S\n", + "from pynrc.obs_nircam import model_to_hdulist\n", + "pynrc.setup_logging('WARNING', verbose=False)\n", + "\n", + "from astropy.io import fits" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Observations Definitions\n", + "\n", + "Functions to create at optimize a series of observation objects stored as a dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def make_key(filter, pupil=None, mask=None):\n", + " \"\"\"Create identification key (string) based on filter, pupil, and mask\"\"\"\n", + " mask_key = 'none' if mask is None else mask\n", + " pupil_key = 'none' if pupil is None else pupil\n", + " key = '{}_{}_{}'.format(filter,mask_key,pupil_key)\n", + " return key" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def model_info(source, filt, dist):\n", + " \n", + " base_dir = '/Volumes/NIRData/Andras_models_v2/'\n", + " model_dir = base_dir + source + '/'\n", + " \n", + " # Match filters with model\n", + " filt_switch = {'F182M':'F210M', 'F210M':'F210M', 'F250M':'F250M',\n", + " 'F300M':'F300M', 'F335M':'F335M', 'F444W':'F444W'}\n", + " filt_model = filt_switch.get(filt, filt)\n", + " fname = source + '_' + filt_model +'final.fits'\n", + "\n", + " bp = nrc_utils.read_filter(filt_model)\n", + " w0 = bp.avgwave() / 1e4\n", + "\n", + " # Model pixels are 4x oversampled\n", + " detscale = (nrc_utils.channel_select(bp))[0]\n", + " model_scale = detscale\n", + " \n", + " # File name, arcsec/pix, dist (pc), wavelength (um), flux units\n", + " args_model = (model_dir+fname, model_scale, dist, w0, 'Jy/pixel')\n", + "\n", + " return args_model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def obs_wfe(wfe_drift, filt_list, sp_sci, dist, sp_ref=None, disk_mod=True, fov_pix=None, verbose=False):\n", + " \"\"\"\n", + " For a given WFE drift and series of filters, create a list of \n", + " NIRCam observations. This function will calculate PSFs out to 320 pixels. \n", + " For the case of SW+MASK335R, we also assume that the subarray size matches \n", + " that of a simultaneous LW observation (320x320).\n", + " \"\"\"\n", + " if sp_ref is None:\n", + " sp_ref = sp_sci\n", + " \n", + " fov_pix_orig = fov_pix\n", + " \n", + " obs_dict = {}\n", + " for filt, mask, pupil in filt_list:\n", + " if verbose: print(filt, mask, pupil)\n", + "\n", + " # Disk Model\n", + " if disk_mod:\n", + " # Convert to photons/sec in specified filter\n", + " args_disk = model_info(sp_sci.name, filt, dist)\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt, pupil=pupil, mask=mask)\n", + " else:\n", + " hdu_disk = None\n", + " \n", + " # Create identification keys\n", + " key = make_key(filt, mask=mask, pupil=pupil)\n", + "\n", + " # Set the PSF size and oversampling amount\n", + " fov_pix = 320 if fov_pix is None else fov_pix\n", + " oversample = 2\n", + "\n", + " # Initialize and store the observation\n", + " # A reference obseration is stored inside each parent obs_coronagraphy class.\n", + " obs_dict[key] = pynrc.obs_coronagraphy(sp_sci, sp_ref, dist, wind_mode='FULL',\n", + " disk_hdu=hdu_disk, wfe_drift=wfe_drift,\n", + " filter=filt, mask=mask, pupil=pupil, \n", + " oversample=oversample, fov_pix=fov_pix,\n", + " verbose=verbose)\n", + " fov_pix = fov_pix_orig\n", + "\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def obs_optimize(obs_dict, sp_opt=None, well_levels=None, tacq_max=1800, **kwargs):\n", + " \"\"\"\n", + " Perform ramp optimization on each science and reference observation\n", + " in a list of filter observations. Updates the detector MULTIACCUM\n", + " settings for each observation in the dictionary.\n", + " \n", + " snr_goal = 5\n", + " snr_frac = 0.02\n", + " tacq_max = 1400\n", + " tacq_frac = 0.01\n", + " nint_min = 15\n", + " ng_max = 10\n", + " patterns = None\n", + " \"\"\"\n", + "\n", + " # A very faint bg object on which to maximize S/N\n", + " # If sp_opt is not set, then default to a 20th magnitude flat source\n", + " if sp_opt is None:\n", + " bp_k = S.ObsBandpass('k')\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + "\n", + " \n", + " # Some observations may saturate, so define a list of maximum well level\n", + " # values that we will incrementally check until a ramp setting is found\n", + " # that meets the contraints.\n", + " if well_levels is None:\n", + " well_levels = [0.8, 1.5, 3.0, 5.0, 10.0, 20.0, 100.0, 150.0, 300.0, 500.0]\n", + " \n", + " filt_keys = obs_dict.keys()\n", + " filt_keys.sort()\n", + " print(['Pattern', 'NGRP', 'NINT', 't_int', 't_exp', 't_acq', 'SNR', 'Well', 'eff'])\n", + " for j, key in enumerate(filt_keys):\n", + " print('')\n", + " print(key)\n", + "\n", + " obs = obs_dict[key]\n", + " sp_sci, sp_ref = (obs.sp_sci, obs.sp_ref)\n", + " \n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + "\n", + " sci = obs\n", + " ref = sci.nrc_ref\n", + "\n", + " # Ramp optimization for both science and reference targets\n", + " for obs2, sp in zip([sci, ref], [sp_sci, sp_ref]):\n", + " i = nrow = 0\n", + " while nrow==0:\n", + " well_max = well_levels[i]\n", + " tbl = obs2.ramp_optimize(sp_opt, sp, well_frac_max=well_max, tacq_max=tacq_max, **kwargs)\n", + " nrow = len(tbl)\n", + " i+=1\n", + " \n", + " # Grab the highest ranked MULTIACCUM settings and update the detector readout\n", + " v1, v2, v3 = tbl['Pattern', 'NGRP', 'NINT'][0]\n", + " \n", + " vals = tbl[0].as_void()\n", + " strout = ', '.join(map(str, vals))\n", + " print(strout)\n", + "\n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " # Only for Debris Disk program\n", + " #is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + " #if is_SW: v3 *= 2\n", + " \n", + " # Coronagraphic observations have two roll positions, so cut NINT by 2\n", + " if obs.mask is not None: v3 = int(v3/2) \n", + " obs2.update_detectors(read_mode=v1, ngroup=v2, nint=v3)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting contrasts and planet magnitudes\n", + "\n", + "Functions to plot simulated images and contrast curves" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def plot_contrasts(curves, wfe_list, ax=None, colors=None, return_ax=False):\n", + " \"\"\"Plot a series of contrast curves for corresponding WFE drifts.\"\"\"\n", + " if ax is None:\n", + " fig, ax = plt.subplots()\n", + " if colors is None:\n", + " lin_vals = np.linspace(0.2,0.7,len(wfe_list))\n", + " colors = plt.cm.Blues_r(lin_vals)[::-1]\n", + " for j, wfe_drift in enumerate(wfe_list):\n", + " rr, contrast, mag_sens = curves[j]\n", + " label=\"WFE Drift = {} nm\".format(wfe_list[j])\n", + " ax.plot(rr, mag_sens, label=label, color=colors[j], zorder=1, lw=2)\n", + " \n", + " if return_ax: return ax\n", + "\n", + "\n", + "def planet_mags(obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Determine series of exoplanet magnitudes for given observation.\"\"\"\n", + "\n", + " pmag = {}\n", + " for i,m in enumerate(mass_list):\n", + " flux_list = []\n", + " for j,av in enumerate(av_vals):\n", + " sp = obs.planet_spec(mass=m, age=age, Av=av, entropy=entropy, atmo='hy3s')\n", + " sp_obs = S.Observation(sp, obs.bandpass, binset=obs.bandpass.wave)\n", + " flux = sp_obs.effstim('vegamag')\n", + " flux_list.append(flux)\n", + " pmag[m] = tuple(flux_list)\n", + " \n", + " return pmag\n", + "\n", + " \n", + "def plot_planet_patches(ax, obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Plot exoplanet magnitudes in region corresponding to extinction values.\"\"\"\n", + " \n", + " xlim = ax.get_xlim()\n", + " cols = plt.cm.tab10(np.linspace(0,1,10))\n", + " \n", + " dist = obs.distance\n", + " \n", + " pmag = planet_mags(obs, age, entropy, mass_list, av_vals)\n", + " for i,m in enumerate(mass_list):\n", + " pm_min, pm_max = pmag[m]\n", + " label = 'Mass = {} '.format(m) + '$M_{\\mathrm{Jup}}$'\n", + " rect = patches.Rectangle((xlim[0], pm_min), xlim[1], pm_max-pm_min, alpha=0.2,\n", + " color=cols[i], label=label, zorder=2)\n", + " ax.add_patch(rect)\n", + " ax.plot(xlim, [pm_min]*2, color=cols[i], lw=1, alpha=0.3)\n", + " ax.plot(xlim, [pm_max]*2, color=cols[i], lw=1, alpha=0.3)\n", + " \n", + "\n", + " entropy_switch = {13:'Hot', 8:'Cold'}\n", + " entropy_string = entropy_switch.get(entropy, lambda: \"Warm\")\n", + " ent_str = entropy_string + ' Start'\n", + " #ent_str = '{} Start'.format(entropy_string)\n", + "\n", + " av_str = '$A_V = [{:.0f},{:.0f}]$'.format(av_vals[0],av_vals[1])\n", + " age_str = 'Age = {:.0f} Myr; '.format(age)\n", + " dist_str = 'Dist = {:.1f} pc; '.format(dist) if dist is not None else ''\n", + " #dist_str=\"\"\n", + "\n", + " ax.set_title('{} -- {} ({}{}{})'.format(obs.filter,ent_str,age_str,dist_str,av_str))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from copy import deepcopy\n", + "\n", + "def plot_images(obs_dict, hdu_dict, filt_keys, wfe_drift, save_fig=False):\n", + " nfilt = len(filt_keys)\n", + " ext_name = ['Model', 'Sim Image (linear scale)', 'Sim Image ($r^2$ scale)']\n", + " nim = len(ext_name)\n", + "\n", + " fig, axes = plt.subplots(nim, nfilt, figsize=(14,7.5))\n", + " axes = axes.transpose()\n", + " for j, k in enumerate(filt_keys):\n", + " obs = obs_dict[k]\n", + " hdu_mod = obs.disk_hdulist\n", + " hdu_sim = hdu_dict[k]\n", + "\n", + " # Make r^2 scaled version of data\n", + " hdu_sim_r2 = deepcopy(hdu_sim)\n", + " data = hdu_sim_r2[0].data\n", + " header = hdu_sim_r2[0].header\n", + " rho = nrc_utils.dist_image(data, pixscale=header['PIXELSCL'])\n", + " data *= rho**2\n", + "\n", + " # Max value for model\n", + " data_mod = hdu_mod[0].data\n", + " header_mod = hdu_mod[0].header\n", + " rho_mod = nrc_utils.dist_image(data_mod, pixscale=header_mod['PIXELSCL'])\n", + " data_mod_r2 = data_mod*rho_mod**2\n", + " vmax = np.max(data_mod)\n", + " vmax2 = np.max(data_mod_r2)\n", + " \n", + " # Scale value for data\n", + " mask_good = data_mod>(0.1*vmax)\n", + " scl1 = np.median(hdu_sim[0].data[mask_good] / data_mod[mask_good])\n", + " \n", + " # Scale value for r^2 version\n", + " mask_good = data_mod_r2>(0.1*vmax2)\n", + " scl2 = np.median(hdu_sim_r2[0].data[mask_good] / data_mod_r2[mask_good])\n", + "\n", + " vmax_vals = [vmax,vmax*scl1,vmax2*scl2]\n", + " hdus = [hdu_mod, hdu_sim, hdu_sim_r2]\n", + " for i, ax in enumerate(axes[j]):\n", + " hdulist = hdus[i]\n", + " data = hdulist[0].data\n", + " header = hdulist[0].header\n", + "\n", + " pixscale = header['PIXELSCL']\n", + " rho = nrc_utils.dist_image(data, pixscale=pixscale)\n", + "\n", + " rad = data.shape[0] * pixscale / 2\n", + " extent = [-rad, rad, -rad, rad]\n", + "\n", + " ax.imshow(data, vmin=0, vmax=0.9*vmax_vals[i], extent=extent)\n", + "\n", + " ax.set_aspect('equal')\n", + " if j > 0: ax.set_yticklabels([])\n", + " if i < nim-1: ax.set_xticklabels([])\n", + " if i==nim-1: ax.set_xlabel('Arcsec')\n", + " if j==0: ax.set_ylabel(ext_name[i])\n", + "\n", + " if i==0: ax.set_title(obs.filter)\n", + "\n", + " if fov>2*rad:\n", + " xlim = [-rad,rad]\n", + " ylim = [-rad,rad]\n", + " else:\n", + " xlim = [-fov/2,fov/2]\n", + " ylim = [-fov/2,fov/2]\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + " ax.tick_params(axis='both', color='white', which='both')\n", + " for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + " \n", + " texp = obs_dict[filt_keys[-1]].multiaccum_times['t_exp']\n", + " texp = round(2*texp/100)*100\n", + " exp_text = \"t_exp = {:.0f} sec\".format(texp)\n", + " wfe_text = \"WFE Drift = {} nm\".format(wfe_drift)\n", + " fig.suptitle('{} ({}; {})'.format(name_sci, exp_text, wfe_text), fontsize=16);\n", + " fig.tight_layout()\n", + "\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.9, bottom=0.07 , left=0.05, right=0.97)\n", + " \n", + " fname = \"{}_images.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Functions to init, optimize, and plot" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Generate initial observations for each filter(no WFE drift)\n", + "def do_init(disk_mod=True, fov_pix=1024, verbose=True):\n", + " wfe_drift = 0\n", + " obs_dict = obs_wfe(wfe_drift, args_list, sp_sci, dist_sci, sp_ref=sp_ref, \n", + " disk_mod=disk_mod, fov_pix=fov_pix, verbose=verbose)\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Optimize observations\n", + "def do_opt(tacq_max, **kwargs):\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + " obs_optimize(obs_dict, sp_opt=sp_opt, tacq_max=tacq_max, **kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# For each filter setting, generate a series of contrast curves at different WFE values\n", + "def do_contrast(wfe_list, filt_keys, nsig=5, roll_angle=None):\n", + " contrast_all = {}\n", + " for i, key in enumerate(filt_keys):\n", + " print(key)\n", + " obs = obs_dict[key]\n", + "\n", + " filt, mask, pupil = args_list[i]\n", + " if roll_angle is None:\n", + " roll_angle = 0 if mask is None else 10\n", + "\n", + " # Stores tuple of (Radial Distances, Contrast, and Sensitivity) for each WFE drift\n", + " curves = []\n", + " for wfe_drift in wfe_list:\n", + " obs.wfe_drift = wfe_drift\n", + " result = obs.calc_contrast(roll_angle=roll_angle, nsig=nsig)\n", + " curves.append(result)\n", + "\n", + " contrast_all[key] = curves\n", + " return contrast_all" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_plot_contrast(obs, curves, wfe_list, nsig, age, xlim=[0,10], ylim=[24,8], save_fig=False):\n", + "\n", + " fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + " entropy_vals = [13,8]\n", + "\n", + " for j, ax in enumerate(axes.flatten()):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " plot_contrasts(curves, wfe_list, ax=ax)\n", + " plot_planet_patches(ax, obs, age=age, entropy=entropy_vals[j])\n", + "\n", + " for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " ax.legend(ncol=2)\n", + "\n", + " fig.tight_layout()\n", + " \n", + " t_exp = obs.multiaccum_times['t_exp']\n", + " t_exp = round(2*t_exp/100)*100\n", + " fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + " #fig.subplots_adjust(top=0.85)\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n", + "\n", + " fname = \"{}_contrast.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_gen_hdus(obs_dict, wfe_drift, **kwargs):\n", + " \n", + " hdulist_dict = {}\n", + " for key in filt_keys:\n", + " obs = obs_dict[key]\n", + " obs.wfe_drift = wfe_drift\n", + " hdulist = obs.gen_roll_image(PA1=0, PA2=10, **kwargs)\n", + " \n", + " hdulist_dict[key] = hdulist\n", + " \n", + " return hdulist_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define Source and their Reference Counterparts" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# source, dist, fov, age, sptype, kmag\n", + "args_sources = [('HD10647', 17.43, 14, 1000, 'F9V', 4.3),\n", + " ('HD107146', 27.50, 14, 150, 'G2V', 5.5),\n", + " ('HD181327', 51.80, 7, 12, 'F6V', 5.9),\n", + " ('HD61005', 34.50, 7, 100, 'G8V', 6.5),\n", + " ('Fomalhaut', 7.7, 20, 450, 'A4V', 1.05, 7.7)]\n", + "\n", + "ref_sources = [('iotHor', 'F8V', 4.1),\n", + " ('HD111398', 'G5V', 5.5),\n", + " ('HR7297', 'F7V', 5.1),\n", + " ('HD56161', 'G5IV', 4.9),\n", + " ('HD31411', 'A0V', 6.4)]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# List of filters\n", + "args_list = [('F356W', 'MASK430R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK430R', 'CIRCLYOT')]\n", + "\n", + "filt_keys = []\n", + "for filt,mask,pupil in args_list:\n", + " filt_keys.append(make_key(filt, mask=mask, pupil=pupil)) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Fomalhaut" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# K-Band Filter\n", + "bp_k = S.ObsBandpass('k')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "outdir = '/Volumes/NIRData/Andras_obs_v3/'" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "name_sci, dist_sci, fov, age, spt_sci, kmag_sci = ('Fomalhaut', 7.7, 20, 450, 'A4V', 1.05)\n", + "name_ref, spt_ref, kmag_ref = ('c02 Aqr', 'K1III', 0.94)\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F356W MASK430R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F444W MASK430R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n" + ] + } + ], + "source": [ + "obs_dict = do_init(verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "for k in filt_keys:\n", + " obs = obs_dict[k]\n", + " obs.wfe_drift = 5" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "obs1 = obs_dict[filt_keys[0]]\n", + "obs2 = obs_dict[filt_keys[1]]" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "obs1.update_detectors(read_mode='RAPID', ngroup=9, nint=5)\n", + "obs1.nrc_ref.update_detectors(read_mode='RAPID', ngroup=9, nint=5)\n", + "\n", + "obs2.update_detectors(read_mode='BRIGHT2', ngroup=6, nint=7)\n", + "obs2.nrc_ref.update_detectors(read_mode='BRIGHT2', ngroup=6, nint=7)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Full frame slope images\n", + "xpix = obs1.det_info['xpix']\n", + "ypix = obs1.det_info['ypix']" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F356W_MASK430R_CIRCLYOT\n", + "F444W_MASK430R_CIRCLYOT\n" + ] + } + ], + "source": [ + "wfe_list = [0,5]\n", + "nsig = 5\n", + "curves_dict = do_contrast(wfe_list, filt_keys, nsig=nsig)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "curves1 = curves_dict[filt_keys[0]]\n", + "curves2 = curves_dict[filt_keys[1]]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "rmax1 = []\n", + "rmax2 = []\n", + "nsat1 = []\n", + "nsat2 = []\n", + "for sp in [sp_sci, sp_ref]:\n", + " #######################################\n", + " # F356W Observation\n", + " #######################################\n", + " sat_level = obs1.saturation_levels(sp)\n", + " sat_mask = sat_level > 0.8\n", + " rho = nrc_utils.dist_image(sat_level)\n", + " \n", + " # How many saturated values can we easily fix?\n", + " sat_level[sat_mask] = np.nan\n", + " sat_level = nrc_utils.fix_nans_with_med(sat_level, niter_max=2)\n", + " \n", + " # Set any NaNs to 1.0\n", + " nan_mask = np.isnan(sat_level)\n", + " sat_level[nan_mask] = 1\n", + " sat_mask = sat_level > 0.8\n", + " \n", + " # Get final info about saturation levels\n", + " nsat = np.size(rho[sat_mask]) \n", + " rval = rho[sat_mask].max() if nsat>0 else 0\n", + " nsat1.append(nsat)\n", + " rmax1.append(rval*obs1.pix_scale)\n", + "\n", + " #######################################\n", + " # F444W Observation\n", + " #######################################\n", + " sat_level = obs2.saturation_levels(sp)\n", + " sat_mask = sat_level > 0.8\n", + "\n", + " # How many saturated values can we easily fix?\n", + " sat_level[sat_mask] = np.nan\n", + " sat_level = nrc_utils.fix_nans_with_med(sat_level, niter_max=2)\n", + " \n", + " # Set any NaNs to 1.0\n", + " nan_mask = np.isnan(sat_level)\n", + " sat_level[nan_mask] = 1\n", + " sat_mask = sat_level > 0.8\n", + "\n", + " # Get final info about saturation levels\n", + " nsat = np.size(rho[sat_mask]) \n", + " rval = rho[sat_mask].max() if nsat>0 else 0\n", + " nsat2.append(nsat)\n", + " rmax2.append(rval*obs2.pix_scale)\n", + " \n", + "\n", + "rmax1 = np.max(rmax1)\n", + "rmax2 = np.max(rmax2)\n", + "nsat1 = np.max(nsat1)\n", + "nsat2 = np.max(nsat2)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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78vzzzwPQqlUrnnnmGQYMGMCSJUto27YtU6ZMYcSIEWzbto3XX3+dF198kcWL\nFzN69GifX5PaoJ7dRDU8rB6nMnM4mZHDhZEBPT2lUqoW0FiosbCiArryCBAZEUpKeg4n0nO08qiU\nqrX69u3LI488wrJly4iPj6dLly4cO3aML7/8kk6dOhXZ9sILL+Sll14CYNeuXSWuS0xM9Pn4Bw8e\nJCYmhpAQawqkiy++mODgYIKDg4mIiODo0aMVel4bNmxgwoQJxdLr16/v3iEfgObNm5ORkeFaTk9P\np3nz5l7zjY2Ndf2I8JyX6qKLLgKgSZMmtGnTBoCmTZty4MCBCj2HQCYi1AsSGoeHcOhEFinpOf4u\nklJKVZjGwtofCwO+8hgVEQrAiYyandBUKXVuKuuqaHVp2rQpnTt35pVXXmHDhg2ICDfffDOjR49m\nzZo1Je532WWXlbju8ssvZ/ny5fTv37/UYxcWFvLss88WuRJZnhH3HA4HxhhOnz5NRkYGrVq1cq3r\n0aMHK1as8Cmf2NhY6tevz7Fjx2jRogXffvst/fr187qtjgh4VrBDaNzA+qGTkqaxUClVeRoLLRoL\nyy8gK4/OqToAskIuBdpwIkOvtiqlarf+/fvz888/ExRkdTfv168fiYmJREZGApCSksKCBQtISkpi\n+vTpjBkzxrWv+7opU6a40hMSEooFzLlz55KWlsasWbOIjo7myJEj9O3blz//+c8AzJkzh4MHDzJ3\n7lweeOABMjIyWLBgAdu3b2fDhg1s27aNtLQ0pkyZwt/+9je6devGwoULGTt2LI8++miRgFkeIsK7\n777L3//+d1q3bk1BQQH33ntvse2c5Vu5ciXp6emkpaUxd+5cOnbsyPbt21mwYAHnnXcea9euJSEh\ngR49erBs2TJOnz7N7t27ufTSS70evzZO1TFs2DCOpedwJrIT0IbkdK08KqVqN42FtTsWijXQTmDp\n2rWr2bJlCwBPv7+N2St/YdLAzjx8k/cXQSmlSrNz507atWvn72IoP/H2/ovIVmNMVz8VySfOWLj5\nQCrvrdvPe2v38kDvi/jnkN/5u2hKqVpIY2HdVlWxMCBHW80rMGw9mEZGdr6r2WqKXm1VSilVBwXb\nfR4BvfOolFLKrwKy2epvuQWkZObSMNRBVKMwAG22qpRSqk6q5wjSPo9KKaUCQkDeeXTKKzBuA+Zo\n5VEppVTdU8/hfudRY6FSSin/CcjKY2iwVay8gkKiG9mVRw2YSiml6qDgIGvOY4BkvfOolFLKjwKy\n8uiwJ0WrMDJRAAAgAElEQVTOKzBERmizVaWUUnVXsCOI+iEOQuoFkZWTT1Z2vr+LpJRSqo4KyMqj\nc0aTvIJColx3HrMJxJFhlVJKqepUzyGICE0b6qA5Siml/CsgB8xJT0/j35NG4xD4y90DqR/i4Lfc\nAjKz84moH+zv4imlVLmMGjWKt99+m5dffpm77rqLnTt30rt3b5KSkhARpk2bxsqVK5kyZQqvvfYa\nX331lWuuW4DvvvuO+fPnM27cuGLr9u3bx/z584scb9asWYwbN44hQ4YQHR1NUlISN9xwA4MGDSqx\njHPnziUrK4vHH3/cVebIyEg2bdrEuHHjyM/Pp1evXpV+LW677TZSU1Ndyx9++CHR0TUzWXVtnefx\nt7wCLuram6bhMRxPzSY5LZu2zRv6u3hKKVUuGgvPqtWx0BgTcI+runQxn/+UbL7akWyMMebqJz8z\nMUM/NPuOZxillCqvHTt2+PX4+fn5JjIy0iQlJRljjJk+fbqJjY01mzZtMsYYs3TpUrNu3TpjjDGr\nVq0yXbp0KbL/Bx98UOK6Tz75xOsxW7dubRISElzHHzJkiJk+fXqp5SwsLHT937ZtW2OMMbm5uebt\nt982EydO9OWplqmq8ikPb+8/sMUEQLwr7eF8r09m5pjPf0o2tzy/2sQM/dD8Z8uhqnpplFJ1iMZC\njYWeKhILA/LOo9iPgkIoLLRGXP31RBYn0vVqq1Kq9nE4HMTHx/Ppp5/y4IMPcuTIEe655x6WL19O\nt27d+O6775gyZYrXfR977DFeeeUVr+sefvhh3njjDZ+O//TTT9OrVy9Gjx7NoEGD2LdvH9dffz0b\nNmygb9++7Nu3D4B58+Yxc+ZMTp06xaRJk/jDH/7A0qVLSU1NZdKkSTz88MO0aNHClffGjRt55pln\nih2zfv36fPzxx8XSDx06xD//+U+MMbRq1Yq777672DaDBg1i7969XH/99ezYsYNu3brxzDPPsGzZ\nMkaOHMngwYM5duwYu3fv5q9//SsrVqzgxx9/5L333qN169Zlvh61TbDD6mHinK7jeKo2W1VK1T4a\nC8+qzbEwICuPAMEOIbfAWNN12P0eU3TEVaVUJbV4aHG15Hts9h2lru/fvz8ffPABd9xxB02aNOGP\nf/wjw4YNY/LkyRhjcDgcrm0PHTrEiBEjANi/f3+RfNzXJScn+1y+1q1bc/z4cXJzc5k2bRrXXnst\nzz33HNnZ2SQlJXH06FHmzZsHwBNPPMGMGTOYNGkSYDUHOnDggGvZXffu3fniiy98Lsdf/vIXunXr\nBuBqOuQZNKdNm0bPnj15/vnnAWjVqhXPPPMMAwYMYMmSJbRt25YpU6YwYsQItm3bxuuvv86LL77I\n4sWLGT16tM9lqS2CHdZIAM3sqat+PZHpz+Iopc4BGgs1FlZUtVUeRaQFMAW4whhztZ3WDJgK7AMu\nAf7PGHPc2/7BjiByCwrIKyikeSNrxNVjab9VV3GVUqpa9e3bl0ceeYRly5YRHx9Ply5dOHbsGF9+\n+SWdOnUqsu2FF17ISy+9BMCuXbtKXJeYmOjz8Q8ePEhMTAwhIdbdq4svvpjg4GCCg4OJiIjg6NGj\nFXpeGzZsYMKECcXS69ev796nwsUZLAF69+7NN9984/WKa2xsrOtHRHBw0b7uF110EQBNmjShTZs2\nADRt2pQDBw5U6DlUp8rGQoB6Qdadx5gm9QH45ZhWHpVStZPGQkttjoXVeefxOuAT4Eq3tH8CK4wx\nH4jIAGA6UPyV4uyV1rwCQ+vocAAOJGvAVEpVTllXRatL06ZN6dy5M6+88gobNmxARLj55psZPXo0\na9asKXG/yy67rMR1l19+OcuXL6d///6lHruwsJBnn322yJVIESllj6IcDgfGGE6fPk1GRgatWrVy\nrevRowcrVqzwKZ+MjAxefPFFV4Dds2ePK/h5Kk/5AlylYiGAI8jqytHcrjzuPZ5RfaVVStUJGgst\nGgvLr9oqj8aYxSLSyyO5H/Cs/f+3wDsl7e/s45FXUOjq57g/OavKy6mUUjWlf//+/PzzzwTZd5L6\n9etHYmIikZGRAKSkpLBgwQKSkpKYPn06Y8aMce3rvs69T0hCQkKxgDl37lzS0tKYNWsW0dHRHDly\nhL59+/LnP/8ZgDlz5nDw4EHmzp3LAw88QEZGBgsWLGD79u1s2LCBbdu2kZaWxpQpU/jb3/5Gt27d\nWLhwIWPHjuXRRx8tEjDLIzg4mB9//JEJEya4AvDkyZOLbecs38qVK0lPTyctLY25c+fSsWNHtm/f\nzoIFCzjvvPNYu3YtCQkJ9OjRg2XLlnH69Gl2797NpZdeWqHyVYfKxkKwfjzUcwjNG9cnSODQiSxy\n8goIDXaUtptSSgUkjYW1OxaKqca5E+2AOd0Y09VezgFijDGpIlIPyAOCjTFFZjzu2rWrmbv0G46m\n5dDxvAjSs7L5wzMruKRFBOv+EV9t5VVKnZt27txJu3bt/F0M5Sfe3n8R2eqMTdWtMrFwy5YtAKzd\nc4ozuQU8/e73HDpxhjXP3MRl5zWqieIrpc4RGgvrtqqKhTU9YE4yEAGkAo2A057BEqyrCkP69SI3\nv5DQ4CCCHcLJX1PJbX8jBYU34QgKvFu4SimlAk9KSgpJSUne+pJE+aM8Np9jYdeuVkzPyimgoNBw\nIj2b/DbXs/dYd608KqWU8klVxsKarjx+CnQHDgHX2svFREdH8/5na/gl5QyxUQ24NCacK8Ys53ha\nNkdOnaFVVHhNllkppVQtFR0dTcuWLXHewXMSkRN+KhKUIxY6y/3j4XSS0nL4csuvvLd+v/Z7VEop\n5bOqjIVBVVYqDyJyPdYAAC1F5CkRqQ/8H3CjiDwF/A8wpqT93fs8ArSNcfZ71EFzlFJK1Q6VjYVO\nYcFWTDyvmXPQHI2FSimlal51DpizBvAcNuk34CFf9g+ud3a0VYC20Q35bvcJ9idncn37mCosqVJK\nKVU9KhsLnerbg+O0aNoAgL3H9M6jUkqpmldtdx4ry/POY6zzzqNebVVKKVXHOO88Rje25j3WZqtK\nKaX8IWArjyGOonce2zin60jRyqNSSqm6Jcy+8xgeFkyDUAenMnM5nZXr51IppZSqawK28ui885jr\nvPPYXPs8KqWUqpvC6lkxMTvfENs8AtCmq0oppWpeTY+26pO0tDSeePRhjqTm0L3XTVx/yZ9pE21V\nHg+mZFFQaHS6DqWUUuWybNkyli1b5lxs7M+y+CItLY1hw4YB1qTa9S/pTkGhITamIT8dSmXv8Qy6\nXhTp51IqpZSqTSobCwPyzmPjxo2ZM3s2oyb/i2694ikoNISH1aN54zBy8ws5evqMv4uolFLKizff\nfBMRYfXq1a60V199FRHh66+/9l/BgAEDBjBr1ixmzZoFkObXwvigcePGrvLecssthNWzmq46p6vS\nO49KKRWYzuVYGJB3Hp1CHEH8VlhIboGhnsNqupqcls3+45lcGKlzPSqlKua/v54m/be8KsuvUf1g\nrmrVtNRt1q5dy4QJE9i/fz979uwhJCTEtW78+PEsWLCAyZMnM3To0CorV0UcO3aMp556ih9//JHv\nv//elb5ixQo++ugjmjdvjogwceJEr/snJCRwxRVXkJiYSK9evThz5gxz5swhOjqazp0719TTOCeF\nBQeRlVvABZH2iKs6gJxSqhI0FpZMY2HJArvyWC+I3/IKyckvpEGIgzbNG/LdHmu6jjidrkMpVUHp\nv+URGR5aZfmdzMopc5u4uLgiAWT48OEAJCcns3nzZs477zy/B0uA9evXc+utt7Jt2zZX2pkzZ3j4\n4Yf5+eefCQ0N5fbbb2flypXccMMNxfbfvn07gwcPJjExEYCZM2cycOBAZs6cSUyMnrcrw5quI4+W\nzew7jzriqlKqEjQWlkxjYckCstmqU4g9QEBuftFBc/bpoDlKqVpqwoQJTJ06lZwcK8i+9tprruAJ\nkJmZSb9+/Zg2bRoPPPAAK1asAGDXrl3cf//9zJgxg7vvvpvdu3d7TfN0xx130Ldv32KP9evXey3f\nHXfcQURERJG0jRs30rp1a0JDrR8Z1157LZ9++qnX/Xfu3Mmdd95JYmIiqampLFq0iB49etCxY8fy\nv1iqiIgw63pvwwbWlfr9xzMpKDT+LJJSSlWIxsLaK6DvPIY6ilYendN1HNDKo1KqlurYsSPdu3dn\n1qxZ3HnnnQQFBREdHe1aHxQUxMiRI+nTpw+nTp0iPj6ePn368PnnnxMSEsJjjz3GkSNHCAsLY9Gi\nRcXSPC1evLjSZU5OTi4SRBs1akRycnKx7Q4dOkRkZCSxsbEkJyfzwgsv8Pjjj7N79246derEvHnz\niIqKon///pUuU10UHRHCzmNwJq+QFk3COJaazeGTZ2gdrd04lFK1i8bC2hsLA7ryGFLPGlHVOV1H\n2+ZWgNQ7j0qp2mzixInEx8fz66+/Mn78eH766SfXOmMMq1evZuPGjQQHB5OSkgLAQw89xNSpU+nZ\nsyeXXXYZM2bM8Jrm6bbbbiMzs/g5c+LEifTs2dOn8jZv3pyMjLNNJNPT02nevHmx7RISEujUqRMA\nERERfPHFF2zevJkRI0Zw1VVXubZzD5yDBw/m/fffZ968eaxatYr27dvjcDgYM2aMT2WrSxqEOGgY\n6iAzp4DW0Q05lprNL8fStfKolKqVNBbWzlhYS5qtWs1y2jYvOl2HUkrVRu3btycuLo6QkBCioqKK\nrJszZw5Hjx7l6aefZtSoUa70TZs28eSTT7Jp0yZiYmKYP3++1zRPS5cuZcWKFcUevgZLgO7du3Pw\n4EFX86Jvv/2Wfv36Fdtu+/btroA5duxYXnnlFRwOR5FAWpobb7yR8ePHs2XLFgoLC30uX13SPMJq\nLtWiaX0AftERV5VStZTGQu8CPRYG5J1H59xWZ3ILuPjq3rS45RYAGoYFE90olJT0HJJO/+YacU4p\npQLdli1bWLt2LZmZmTz33HMsXLgQgJSUFBYsWEBSUhILFy4kPj6exYsXM3bsWJo1a0ZaWhpLlizB\nGMOoUaOIjY0lJSWF4cOHs3Xr1mJplbVmzRpXeaZMmcLo0aNp0KABr7/+Ok888YRrpDhvAwQkJCRw\n++23AxRpjrNjxw46dOjguqocGhpKfn4+AFlZWa7tnGl5eVU3+p+72jzP44ABAxgwYADNI0LYd+IM\nzSKsZll7krTyqJSqPTQW1v5YKMYE3h28rl27mi1btnAiM5ctB9NoFh5MtzZNALh12io2/XKSD0f1\npGe72j1akVKqZuzcuZN27dq5lv0xPLmC2bNn06ZNGzp06MC4cePo0qULH330EevWrWPevHl89dVX\ntGjRgpiYGMaPH19lx/V8/wFEZKsxpmuVHaQaOGOhu0Jj+CbxJNv2n2T6xwlcc0kUS8f18k8BlVK1\nisbCwFDbY2FA3nl0CvUYbRWsQXM2/XKS/clZ9GxX0p5KKVUyDW41b+3atSxfvpx33nmHJk2a8O67\n7wIwcuRI1zZDhgyptQMI1JQgEZqFB3OePV3HHm22qpSqII2FNe9ciIUBXXkMcRSvPJ6drkMDplJK\n1RZxcXHExcWVuP6+++6rucLUcpHhITRtGEJYsIOTGTmcysyhWcOqm6tNKaVU9TgXYmFAD5gT7Bpt\n1eBsXnt2uo6sEvdTSimlzlWRDYMREVo2swbN2at3H5VSStWQgK48BokQ7DhbgYSzI67uO67TdSil\nlKp7wkMchNYLokVTa9A4bbqqlFKqpgR05RGK93s8O11HJoU6XYdSSqk6RkSIDA+mpV151Ok6lFJK\n1ZSA7PPoPjz55d160757H7LzCokIg4j6wURFhHIiI4ek1N84v5lO16GUUqps58JUHU6RDUNo2Uwr\nj0oppcqnsrHQ58qjiAQZY2pkpsrGjRsza9YsALYfSedoag45+QWu9bExDTmRkcP+45laeVRKKeUT\n9wrY7Nmz0yqSh79ioacidx51rkellFI+qmwsLLXZqog8KCJbReQ3IEdEfhWRF0Wkxq7YhtnNVnPc\np+uItpqu7k/Rfo9KKaWqVyDEQk9hwQ7aNg9HBA6eyCInr6DsnZRSSqlKKrHyKCJ/BxoBg4BmQH2g\nK7AaeENEwmqigKH1HABk57lN1xGjg+YopZSqfoESC71p2SSM6EZhFBQa9idrPFRKKVX9vDZbFZEg\nYLkx5kePVcnAJyKyBmgJ7K/m8hEa7OXOo2u6Dg2WSimlqkcgxUJvIsOtfo/Jadn8ciyDy88P+G6c\nSimlajmvdx6NMYXOYCki/b2sTzXGlBosRaSFiMwRke/d0l4UkWdF5G8i8r6ItCirgKFemq26puvQ\nyqNSStW4N998ExFh9erVrrRXX30VEeHrr7/2X8GqWCDFQm+ahQe7Bs3Zrf0elVKqRtWVWOjJlwFz\nXhaRUW7LBtgLPGOMOVLKftcBnwBXuqVlGWOeAhCR8cDfgcdLO7irz6Nbs9W20UWn6wgKEh+ehlJK\n2Q5thuwKjZfiXVhjuLBbqZusXbuWCRMmsH//fvbs2UNISIhr3fjx41mwYAGTJ09m6NChVVeuCrjm\nmmsIC7NaYjocDlauXFlsm4SEBK644goSExPp1asXZ86cYc6cOURHR9O5c+eaLnJN8Wss9CbYEcTF\nMREArE9MZlT/duXNQilVl2ksLJHGwpL5Unl8D1gJ7ANigW7AemAC8JeSdjLGLBaRXh5pT7ktBgFl\n3jp0v/NojEFEaNQgmMiIUE7qdB1KqYrIToPwqKrLL+tEmZvExcUVCS7Dhw8HIDk5mc2bN3Peeef5\nPVgC9O3bl0mTJpW6zfbt2xk8eDCJiYkAzJw5k4EDBzJz5kxiYmJqoJR+4ddYWJL4K1ryxpeJbNyd\nwsGUTFrbF1eVUqpMGgtLpLGwZL5UHn8zxjir2/tF5DpjzDoR+X1FDyoiTYCbgNu9rU9JSaFr166u\n5YzsfIyBvz72MI8+8jAAsc0bcjIjh/3JOl2HUqr2mDBhAsOHD+fBBx8kNDSU1157jeHDhzNt2jQA\nMjMzGTRoEHFxcezatYshQ4bQp08fdu3axdSpU+nUqRM//PADTz/9NMaYYmmXXnppkePdcccdZGYW\nr5s89dRTXHfddcXSExISmDZtGr/99htXX301/fr1K7bNzp07mTdvHsOHDyc1NZVFixbx4osv8s03\n31TRq1R1UlJSSEpK4u677/ZcVd5fTH6PhU7Dhg1zzf94acsIul3anA07jzN31V6eufOKihZHKaVq\njMbCmlWFsdCnyuPVItIV+AW4FOhmDyJwUXkPBmAPbf4q8IAx5pS3baKjo9myZYtref0vp8jMKaBH\nbBNXWpvmDfl+70kOJGdy3eXNK1IUpZSqcR07dqR79+7MmjWLO++8k6CgIKKjo13rg4KCGDlyJH36\n9OHUqVPEx8fTp08fPv/8c0JCQnjsscc4cuQIYWFhLFq0qFiap8WLF5erfOPHj6dbt24UFBQQFxdH\nREQEcXFxrvWHDh0iMjKS2NhYkpOTeeGFF3j88cfZvXs3nTp1AmDevHlERUXRv3+xboI1Ljo6mpYt\nWxaJKQAiUvYl8qL8Hgu9aVw/mDt7tGbDzuPMXvEL9RzC3//USbtzKKUCmsbCmlWFsdCnyuNE4E2g\nA/Az8AjQGfi2vAcTkSjgJWCcMeaIiNxujFlS1n5hwUFk5hSQnV9IIzst1h40Z9fR9PIWQyml/Gri\nxInEx8fz66+/Mn78eH766SfXOmMMq1evZuPGjQQHB5OSkgLAQw89xNSpU+nZsyeXXXYZM2bM8Jrm\n6bbbbvN6tXXixIn07NmzWHq3blZ/FYfDQc+ePVm1alWRgJmQkOAKjBEREXzxxRds3ryZESNGcNVV\nVxXJyz1wDh48mL59+7Jq1Srat2+Pw+FgzJgxFXj1/MbvsbAkf+pyPt8ktGLZ5l959YvdXBzTiP+9\nrk1Fs1NKqRqhsbBWxsKS53l0Msb8YIzpZowJN8Z0Aw4YY7YZY94tbT8RuR64G2gpIk+JSH3gK6xg\nu1BEVgP3+VJIb3M9drskEoDVPx/3JQullAoY7du3Jy4ujpCQEKKiirYYmTNnDkePHuXpp59m1Kiz\n47Ns2rSJJ598kk2bNhETE8P8+fO9pnlaunQpK1asKPbwFiwTExN56623XMt79uzhoouK3ljbvn27\nK2COHTuWV155BYfDUSSQlubGG29k/PjxbNmyhcLCwjK3DxSBEAtLEhrs4N/3duHhmy8H4J8fJ3Am\nJ78yWSqlVLXTWFj7YiH4cOfRbpYTDzjvJQ8ABpa1nzFmDbDGI/kqb9uWJTzEqjxm5RS40rpdFEWj\n+sHsOZahgwQopQLeli1bWLt2LZmZmTz33HMsXLgQsPohLFiwgKSkJBYuXEh8fDyLFy9m7NixNGvW\njLS0NJYsWYIxhlGjRhEbG0tKSgrDhw9n69atxdIqo1GjRnz66accPXqU9PR0LrzwQoYMGVJkm4SE\nBG6/3eqi594UZ8eOHXTo0KHItqGhoeTnW5WYrKwsANdyXl5epcpa0wIhFpamfoiD4X0u4bOthzmY\nnMlrX+1mzID2VX0YpZSqFI2FtTsWAogxpvQNRGYDZ4B2wPfANcaYG6qzUF27djXubXKPp+fww6F0\nohoG07X12X6Pw978jv9sOcyUwVcy9IaLq7NISqlabOfOnbRr5zaNgR+GJ69LZs+eTZs2bejQoQPj\nxo2jS5cufPTRRzz44IN89dVXtGjRgpiYGMaPH18j5Sn2/gMistUYU3w0mhIEQiz0xVtr9vH3d/9L\nWLCDTf/sS0yT+tVUOqVUbaOxsGadi7EQfOvzuN8Y808RGW+MmSYi48pzgKrQMNS685jpducRoE+n\nlvxny2G+3n5UK49KKd9pcKs2a9euZfny5bzzzjs0adKEd9+1WnWOHDmSefPmMWTIkIAYPKAC/B4L\nfXHn71uxeMNBfth3kkff+p53Hu1OeFiwv4ullApEGgurzTkcC32qPLaw/0aJyAXAtdVYHq/qhzgQ\nsfo85hca6tmjyPXp3ILQekGs3ZnM3mMZXNQioqaLppRSyk1cXFyRQQXc3XfffTVbmKrl91joi4iw\nekwc2IlBM9ayPjGZm579hq+fuoEGob6Ee6WUUlXhHI6FZQ+YA+wQkX7A58B24Kcytq+0tLQ01zxW\ny5YtI0iEBna/R/dBAJo1DOWO7q0xBt5csae6i6WUUqoWW7ZsmfsciY3LubvfY6Gvrrk4ioUj4mje\nOIy9xzJ4YdnOaiylUkqp2qSSsbDsPo/FdhCJNsaklPdA5eGtn8cPv6ZxPCOXzudHcF6Ts/O37E5K\nJ27CV4QFB/HDC/1pGh5SnUVTStVC3tr5q7qjqvp5eOzvl1hYHh99f4jhszYRUi+Ib/8Rz4VR4VVY\nOqVUbaOxsG6rqlhY5p1HEWkoIn8SkXtE5B7gtfIVtWqE201usnKL9nu8tGUj4to1JzuvkM/+e8Qf\nRVNKKXWOC5RYWB63drmAay6NJje/kNe+2u3v4iillDoH+NJsdTlwPdDWfjSr1hKV4OygOcXnrrrt\n6gsB+M+WQzVaJqWUUnVGQMTC8nAECQ/Yg8kt2fQrOXkFZeyhlFJKlc6XHvS/GGNGOBdE5JJqLE+J\nXJXH7OLB7+arzmfcwv+yPjGFExk5REWE1nTxlFJKndsCIhaW102dWnBhVDiHTmTxny2HGdi9tb+L\npJRSqhbz5c7jlyJyv4jEiUgc4JfhycND6yFYzVYLCov202waHsL17WMoKDR8/oM2XVVKKVXlAiIW\nlldYsIMBduucFz9NJL+g0M8lUkopVZv5Unm8H7jF/ns/8LtqLVEJHEFCg1Karv7xd+cD8PX2pBot\nl1JKqTohIGJhRTz0h4uIahTGvuMZ/PvzXf4ujlJKqVrMl2arJ4wx9zgXRKTaA6ZzeHKAAQMGMGDA\nAAAiQuuRlVNARnYBjesXnfT4hk7WFFzrdibzW24B9e2pPZRSSimwhid3m/KivMOTB0wsLK+WTeoz\n/rYOjJ2/lZc/S+R/fn8hbaMbVmVRlVJK1RKVjIU+VR5/FJHewF57eQDwQ3kPVB6NGzdm1qxZxdIj\nwhwcS4cML3ceWzSpT+fWTdl+8DTf7kqmT6eW1VlEpZRStYx7BWz27Nlp5dw9YGJhRdx1XRs+2vQr\nG3elMHbBD3w48jpEpEryVkopVXtUMhb61Gx1DDABeMd+3Fveg1SVCHu6jszs4pVHgD723ccV24/V\nWJmUUqquefPNNxERVq9e7Up79dVXERG+/vpr/xWsegVMLKwIEeFf93QhtF4Q63ce5+PvD/u7SEop\nVavV0Vjo053Hvxlj5jkXRKRP9RWndA3DrOKmZ+djjCl21fTGzi2ZsXwnX29P4rkhV+pVVaWUVz+m\n/EhGbkaV5RcREsEV0VeUus3atWuZMGEC+/fvZ8+ePYSEhLjWjR8/ngULFjB58mSGDh1aZeUqr717\n9/LUU09x1VVXcfjwYSIjI5kwYUKx7RISErjiiitITEykV69enDlzhjlz5hAdHU3nzp39UPIaETCx\nsKJimzdk2E2X8vJniUz+cDt9r2hJg1BffgYopc5FGgu901hYOq9RQ0SCgLbGmL3uwRLAGLNCRMKA\naGNMjU6sWD84iLDgILLzCjmVlUdkw5Ai669o3ZToRqEcOXWGxKPptDu/3M14lVJ1QEZuBk3DmlZZ\nfqezT5e5TVxcXJHgMnz4cACSk5PZvHkz5513nl+DJcCpU6cYPHgwt956KwDt27enX79+dOnSpch2\n27dvZ/DgwSQmJgIwc+ZMBg4cyMyZM4mJianxcleXQI2FlTG6fzs+3nSIwyez+L/3t/HSvV39XSSl\nlJ9oLPROY2HpvDZbNcYUAg+KyF0i4qqBiYhDRLoDbwGpNVRGFxHhgiZhABxOzS62PihIuMHu67hC\nR11VSgWgCRMmMHXqVHJycgB47bXXXMETIDMzk379+jFt2jQeeOABVqxYAcCuXbu4//77mTFjBnff\nfTAAh2wAACAASURBVDe7d+/2mubpjjvuoG/fvsUe69evL7bt1Vdf7QqWAIWFhYSHhxfbbufOndx5\n550kJiaSmprKokWL6NGjBx07dqz06xNIAjUWVkZYsIPnhlyJI0h4f/0B5q7aW/ZOSilVxTQW1l6l\ntVd5Cvgb8JOINAHy7e2XAWONMVV3n7sczm8Sxi8pZzienkNufiEh9YrWf/t0asH73x7g6+1JPH7z\n5f4oolJKlahjx450796dWbNmceeddxIUFER0dLRrfVBQECNHjqRPnz6cOnWK+Ph4+vTpw+eff05I\nSAiPPfYYR44cISwsjEWLFhVL87R48eIKlfPjjz8mPj6eyy8veh49dOgQkZGRxMbGkpyczAsvvMDj\njz/O7t276dSpEwDz5s0jKiqK/v37V+jYASYgY2Fl3Ni5JSP6t+df//mZCYu20SqqgQ4yp5SqURoL\na68SK4/2FddngWdFpBEQijVUuampwnlTP8RBZHgwJ7PySMnM5fwmRT8g17ePIdghbNl7kpT0bKIb\nFf8AKaWUP02cOJH4+Hh+/fVXxo8fz08//eRaZ4xh9erVbNy4keDgYFJSUgB46KGHmDp1Kj179uSy\nyy5jxowZXtM83XbbbWRmZnotQ8+ePb2Wb9WqVaxatYqXXnqp2LqEhARXYIyIiOCLL75g8+bNjBgx\ngquuuqrItu6Bc/DgwfTt25dVq1bRvn17HA4HY8aM8f1F85NAjYWVNbrfZfxyLJ1PNh/iL29u4uOx\n19O5ddU1X1NKqbJoLKw9sdCdTz3ljTHp1V0Qd2XNbRXTKJSTWXkkp+cUqzxG1A+mZ7sYvvnpGF9u\nO8pdcbE1Vm6llPJF+/btiYuLIyQkhKioqCLr5syZw9GjR5k7dy65ubm88cYbAGzatIknn3ySf/zj\nH4wdO5b58+dz5ZVXFksbNWpUkfyWLl1arrJ9+umnrFu3jn//+98kJSVx8OBBunfv7lq/fft2V8Ac\nO3YskZGROBwOEhISuPfesgcgvfHGG7nrrrsYPHgwhYWFBAX5Muh31ajs3FaBFgsrIygoiFfuv5rj\nqdl8tzuFITPXs3x8b9o01/kflVI1Q2Nh7YyFATnMWllzWzWPCGFHEpzIyqWg0OAIKjqqav8u5/PN\nT8dYvvWIVh6VUgFhy5YtrF27lszMTJ577jkWLlwIQEpKCgsWLCApKYmFCxcSHx/P4sWLGTt2LM2a\nNSMtLY0lS5ZgjGHUqFHExsaSkpLC8OHD2bp1a7G0yti6dSuDBg2ia9eu9O7dm6ysLB599NEiATMh\nIYHbb78doEhTnB07dtChQ4ci+YWGhpKfb02tlJWVBeBazsvLq1RZK6Kyc1vVtFxHGO0GWlekfwFe\n/Lp4P57KuqZDc/alnuFkejZ9nl/FwO6taN6ofpUfRynlfz0i8ziefnbMkNNZuZj83CrLPzUnt0j+\n3mz771ZWfLOa4ydT+fukfzDj9bcA+HnfIWa9NY8jR4/y2py36XJtL95b9AHDnxhJ06bNSE1N460F\n72GMYd6Cv9KqTRt+PXqMgXc/yPZt/y2WVlY5SvPjD//lzkGDuOJ3V3Ft3PWcycri/v/P3p3Hx1VW\njx//PLPPZN+TNmnSfd9bgUIDRbBsBRQofFUURKui+FV2FUX5guKC+kUBLegX5OeCFgSL7EJpoQXa\nQve9TdPsezKZfXt+f0wS26ZpJ2kmk+W8X6+QzL137j1JS07Pvc9zni99hXHT53Yds/HDLVx6+ZXU\nOX0sLI02365z+tixcxfZReOpc/po8wYxegL4IopGp4c6p4/mtnbavEEg+mfh8vioc/oGpHh0eoPR\nPGKbzNRrJkc39iEXqsE48mbBggV606ZNJz1m/cEWnL4Q88ekkpNiPWZfs8vPzNteRCnY/tAyMpIs\nPZxFCDES7N69m6lTp3a9TkR78pHk8ccfp6SkhOnTp3PnnXcyf/58nnvuOW666SZee+018vPzycvL\n46677hqQeI7/8wdQSm3WWg/qVqOTZ8zRq155O+7XaWz38d2/bqGszoXNYuSHy2cxtyQr7tcVQgys\nSEslEydP7nq9vXEbrn7MhcmWFGZmD98lKnrr/37/BGOKS5g2bRrf/c7dzJ07j3++8Dyfu+FG/v3G\nG+Tl5ZGbl8dtt98xIPHs37sXQ0bhMdtmFaX3OheesnhUSk0A2oEg8DngH1rr8t6F2zuxFI/7690c\nbPAwJtPOtILuw2yW/2Ita3fX86sbFnDd2SVxilQIMRScqHgQ8bF27VoeeughnnrqKdLT04/Zl6jm\nAf1RPCYiFw5U8QjQ5PJx/z92srO8BavZyFNfW0RmsvXUbxRCDBnHF48ift5Zt46Hf/VLVv7+D91y\n4dN/fIrsrGwuvvTSAY2pv4rHWJ6Rfg+wA78ARgH3xnJipVS+UuoJpdTGE+z7rlKqsTeBHi/TYQbo\nePTb3WXzoz+cFzdXns5lhBBC9EJpaSkvvPBCt2QJcMMNNwzlrnODMhf2l6xkG3dfMZ2Jo9LwB8P8\nv3VliQ5JCCGGrHMWL+Zvzz53wlx4/ec+P+CFY3+KpXj8CKgCpmit7wT2xHjuc4AXgGMmJCqlzgMy\nexHjCaXao9M1nb4QkUj3p6cXzx2FUvD2rjqcnoGfWyOEEGJYGZS5sD/lpdq4ZlExCnh5SxW1rd5E\nhySEEGKQiaV4nAU8DLymlLIDMXWg0VqvIjrEp4tSKg+4Fvh1L+Psxmw0kGQ1ojW0+0Pd9uek2jhz\nYjbBsOb1bTWnezkhhBAj26DMhf1t4dhMZpRkEg5r/rlJRu4IIYQ4VizdVh8ELgZWAmcCr/flQkop\nA/Aj4HZO0Ra2oaGBBQu6D79dsWJFV9tygDS7Cbc/TKsnRJrd3O34y+YXsmFfIy9uruSqM8f0JWwh\nhBBDWENDAzU1NVx//fXH78o+0fEnMeC5sKnVyfJv/U+37fPnz2P+/Pj1+hmdm8TOqlZe2lZNcX4y\nRuPAtZAXQsTPoqww7b7uD1zE8Od2u2lsaePr9/3f8bt6mwtPXTxqrfcppWzAImAv0WE7fTGPaKOB\nLwMZgF0pdTfwrNZ6/9EH5uTkcKqGOQDpdjPVrf6OeY/dW4tfMnc03/3LFt7aWYvbFyLJNihXJhFC\nCBEnOTk5FBQUdMspvZ1rmIhcWJKfyaa//7yPl+m7hnY/O/Y3UdHopiTdztVnFg94DEKI/rd7927y\nUm2nPlAMP6k2/K0Z7D4upyj1UK/n3Z/ydqJS6g7gf4l2l5tI9O5rr2mtN2mtv6K1fhB4DPBqrR88\nPln2RlrHvMdW74nvohRk2Fk4PgtfMMIb22XoqhBCiL4ZzLmwv2UnW7h4XrTp3M/+uYtAKJLgiIQQ\nQgwWsYxFSdZaLwF2aa3fAlpjObFS6lzgeqBAKXVPxxyRznbnXyd6t/UepVRSH2MnxWrCoMATCBMM\nnzi5XTpvNAAvbu7rTWIhhBBi8ObC/qaU4obzxpGfYae8wc3KNwZNXSuEECLBYikejR2fO1uadl9U\n8QS01m9rrW/SWo/WWt+vtfZ2bD+gtb5da53Usd3dh7gBMBgUqR1DUdt6ePp46fxo8fjG9ho8J2is\nI4QQQsRg0ObCeBib7eDLn4iuB/fTF3by3v5BsaKIEEKIBIuleAwrpV4BLlNKrQIGVYLrbJTT03qP\nRVlJzCnJwBsIs2Zn3UCGJoQQYvgY1LmwvymluOm8sSyZkU8gFOGLv93AwTpXosMSQgiRYKcsHrXW\n9xJdFPmfwO+01j+Ke1S9cKp5j3D00FVpOy6EEKfrd7/7HUop1qxZ07XtkUceQSnF66/3qQnpoDfY\nc2E8WExGnvjKmUwenUqj088Xf/serZ5AosMSQohBYSTmQohtqQ601q8BrwEopa7VWj8T16h6Id3R\n8eTRE0RrjVKq2zGXzS/kged28Nq2GnzBMDazsdsxQoiRw7NlK2Gns9/OZ0xNxTFn9kmPWbt2Ld//\n/vcpKytj//79WCyWrn133XUXTz/9NPfddx9f/OIX+y2uvqitreWee+5h69atbNy48YTHbN++ndmz\nZ7Nnzx7OO+88PB4PTzzxBDk5OcyaNWuAIx44gzkXxkuS1cRfvnEOH7/vDXZXtvL9v23nfz8/74S5\nVggxtEgu7Jnkwp71WDwqpf6stf60UqqM/8zxUEAqENeE2dbW1rWe47Jly1i2bFmPx9rNBsxGRSCs\ncQfCJFu7f0tjc5OZUZTOjopW3thWw2XzC+MWuxBi8As7nZgyM/vtfKHm5lMeU1paekxyufnmmwGo\nr6/ngw8+YNSoUQlPlgDvvPMOV1xxBVu2bOnxmG3btnHdddexZ88eAB5++GGuueYaHn74YfLy8gYq\n1F5bvXo1q1ev7nx50jUWOw2VXBhPozId/O7LZ7D8F+t4dsNhrlxYxPnTcxMSixCi/0gu7Jnkwp6d\nbNjqDzo+/0JrPa7jYyxwT28v0ltpaWmsXLmSlStXnjJZKqXISY7etahp8/d43DVnjQHgmfXl/Reo\nEEL00ve//30efPBB/P7o76tHH320K3kCuFwuLr30Un7yk5/whS98gTfeeAOAvXv3cuONN/KLX/yC\n66+/nn379p1w2/GuvvpqLrroom4f77zzzgnju/rqq0lJSTnp97B7926WL1/Onj17aG1t5ZlnnmHR\nokXMmDGjrz+WAbFs2bKu3AK0xfi2H3R8HtS5MN5Kp+Zx7dklhCOae/+2hXBElu8QQvSd5MLE6WMu\n7NLjk0etdedP/v3ObUqpWUDPFVqCjE63Ud3mp7rVx4QcxwmH03zqjDH8z7PbeXNHLQ1OHzmySKoQ\nIgFmzJjBWWedxcqVK1m+fDkGg4GcnJyu/QaDgW9961tccMEFNDc3s3TpUi644AJefvllLBYLX//6\n16mqqsJms/HMM89023a8VatW9Wv8FRUVZGVlMW7cOOrr6/nZz37GLbfcwr59+5g5cyYATz75JNnZ\n2Vx22WX9eu1EGEq5MN7uv3YWL39Uxf5qJ6ver+Das4oTHZIQYoiSXDh0xTLn8SLgAwCt9Tal1Gfi\nG1LvZSaZsZkNeIMRWjxBMpMs3Y7JSbVxwcwCXtlSzZNrDnLH5dMTEKkQQsC9997L0qVLOXLkCHfd\ndRc7duzo2qe1Zs2aNWzYsAGz2UxDQwMAX/rSl3jwwQdZvHgxkydP5he/+MUJtx3vyiuvxOXq3iXz\n3nvvZfHixb2Offv27V2JMSUlhVdeeYUPPviAb37zm8ybN++YY49OnNdddx0XXXQRb731FtOmTcNo\nNHL77bf3+voJNOhzYbyl2C3cdP5EfvniLn754m6WnzlG5j4KIfpMcuGQzIU9D1tVSn1eKfUWcINS\n6s2Oj7eAQTcDVCnF6PToXYYD9R601ic87ssXTgTgkVf2cqRxWHdZF0IMYtOmTaO0tBSLxUJ2dvYx\n+5544gmqq6v53ve+x6233tq1/f333+fuu+/m/fffJy8vjz/+8Y8n3Ha8559/njfeeKPbR1+SJUTn\neHQmzDvuuIPf/OY3GI3GYxLpyVx44YXcddddbNq0icgQGPo4lHLhQPj6RZPISLZwuN7FK1urEx2O\nEGIIk1w4dHLh0U725PF5YA2wAljZsS0M1MQ5pj4pybJzpNlLsydIQ3uA3FRrt2POmpTDlQuLeH5j\nBff8dQtPfW2R3DUVQgyITZs2sXbtWlwuFz/+8Y/505/+BEBDQwNPP/00NTU1/OlPf2Lp0qWsWrWK\nO+64g8zMTNra2nj22WfRWnPrrbcybtw4GhoauPnmm9m8eXO3bafr7bff7orn/vvv57bbbsNut3ft\n3759O1dddRXAMUNxdu3axfTpx47osFqthELRZZTc7ugNu87XweCJ1+YdhIZULoy3JKuJT55RzB/+\nvZ+Vbxzg4jmjEx2SEGIIkVw4ZHNhF9XTU7oe36DUmVrr9+IUDwALFizQmzZt6vX7Djd52FPrJs1u\n4qxxGSc8pqbFS+m9r9LuDfGrGxZw3dklpxmtEGKw2717N1OnTu16nYj25CPJ448/TklJCdOnT+fO\nO+9k/vz5PPfcc9x000289tpr5Ofnk5eXx1133TUg8Rz/5w+glNqstV7Q13MO5lwYb2X1LhZ//1XC\nYc36+5cyNu/kTSWEEIOD5MKBNVxzYY/Fo1Lqa1rrR5RSfzh6MzDzdBJuLPqaMMMRzVt7mwhFNGeP\nzyDFduIHq8+sP8x//98mUuwm3rz3Qoqykk43ZCHEIHaiX5giPtauXctDDz3EU089RXp6+jH7EtU8\n4HQSZkJz4ZQxetNjX43nJfrs7+8foazOxezidJbOHpXocIQQMdidvoSp46XR1UBY++57PPSb3/LU\nY/9Levqxq2E8+adnyM7K5LKLLhzQmHYfLGdq61vHbFPnf6fXxePJhq16Os8LPHnU9ut7c4G+6Ova\nVkaDoiDNSkWLj6pWH1Pyk0943PKzinnlo2pe3lLNN/9vE3+/tRSDQYavCiHE6SotLaW0tPSE+264\n4YaBDeY4fVzbKmG50B0Ic/+qzQCULi6ltLRvc3PiodDQxOPPbOGdMiOlVy7GbjEmOiQhxKk0G8DW\n62X9RB+UfnwppR9fesJ9N9y0YoCj6WC2w+SLWLt2HWvXre3c2uu/EKcctqqUukxr/eJRr5O11t3b\nFfWj0xmq0+oJ8l5ZKxajYsnkrB7nNDY4fZz3g9dpavfz6y8s5BppOS7EsCVPHke2/hiqk5BcOHOS\n3vTqM/G8RJ+FIvDlx9+josHNigsmcvWZYxIdkhDiFHY3G5g6aWKiwxAJsnvffqZmHtucR42e1+sn\njz12Wz3KvUqpu5VSOQDxTpanK81uwmExEAhrWr2hHo/LSbVxz1XRbkgPv7yHSKR3cz+FEEKMKEMq\nF8abyQBLZ0eb5Tz3/hFCkkOFEGJEiKV4/Abw/4CblVIPKaXiOsfjdCmlyEmOdlptbA+c9NirzxjD\n6EwH+2vaeemjqoEITwghxNA0pHLhQLhs3iiyUqw0tvt5eYss2yGEECNBLMVjhda6kmir8knAn+Ma\nUT/ITrEA0OA6efFoNhm4eekkAH7/5oG4xyWEEGLIGnK5MN4cFiOXLSgC4C/rygiEhtZaZUIIIXrv\nZA1zOv0/pVQaUA08Arwc35BOX6bDjEGB0xfCFwxjM/c8kf+aM4u5/9ntbNjXSHmDm+Ic6bwqxHCk\ntZZ1XUeg3i5HdRIDnwuDPtj7StwvczquyYjgTD9IuzfIBy+Vcc7knESHJIToSfp5aG+r5MIRSGsN\nQQ/sXXPa54qlePQD12ith8yjOaNBkZVkocEVoNEVpDCj5+Ix1WHm4jmjeO6DCv6+oZzbL582gJEK\nIQaCzWajqamJrKyem2iJ4UdrTVNTEzabrT9ON/C5MDkXlnx7wC7XFxYgw1HOD/9vI7/dYeKdaz/B\nqAxHosMSQpyArayMpqBFcuEI05UL0/Nh7vE55Tu9Pl8sxeN/aa2bO18opZZqrV/t9ZV6oa9LdRwt\nJyVaPDa4/BRmnPwfDteeXRItHt8r57ZlU+V/KCGGmcLCQiorK2loaEh0KGKA2Ww2CgsLgT4v1dFp\nSObCgbD8zCKeevsgHx1q5vt/28bjK86QPCrEICS5cOTqx1zY81IdSqmfaq3vVEq9BXQepIAxWuvx\nvY66F05nqY5OnkCYtfubMRkU50/JwnCSRBaOaBbc9RI1rV6ev+Nczpwkw26EEGI4i3WpjqGeCwfK\ntvIWlj7wbxTw11vPpXSK5FEhhBjsertsFZy8YU7nRIsPgRs7Pm4AVvUpugHmsBhJthoJRTStnuBJ\njzUaFFefFV2j6pn15QMRnhBCiKFhSOfCgTKrOINPnVFMRMOPnttOpP/mmgohhBhEeiwetdZvdny5\nUmtdrrUuB6zAmz29Z7DJTo52Xa1p85/y2OVnFQOwenMlbn/P60MKIYQYOYZDLhwoP7hmJnaLkS1l\nzfz9vYpEhyOEECIOYlmq49qjvi4HLovlxEqpfKXUE0qpjUdtsyilvq2UukUp9Vul1AO9jLdXRqdH\n5zpWtvhw+k5eEE4sSGXe2ExcvhAvy5qPQgghjjVkc+FAyUm18eULo8tf/erFXUQisnSHEEIMNz02\nzFFKXQFcCcxWSpV0bDYAo2M89znAC8Cco7bdBbyttV7bcY1ZvYy3V1JsJooz7ZQ3e9lR1c7HStIx\nGXue+7h8UTEfljXzt/XlXH1mcTxDE0IIMQQMh1w4kL5xyWT+8OYByupdvLGjjk/MKkh0SEIIIfrR\nyZ48bgGeBLYCT3V8PAEsj+XEWutVQPtxmz8NjFVKfVMp9T9AbW8D7q0JuQ7sZgNOX4iPKtoIR3qe\nh3HlwiIsJgPr9tRT1eyJd2hCCCEGv2GRCweKw2LiyjOiPQSe+PeQWeFLCCFEjE4257Fca/02sEJr\n/XbHxztA3mlcryR6av0r4G3gb6dxrpiYjQYWFKdjMSma3EG2Vjp7nMifnmRh6exRaA2rNkjjHCGE\nGOmGSy4cSF+9cCIGBe/srqOs3pXocIQQQvSjkw1bvUxr/SLw7ePWayoFLujj9ZzA+x1fvwMsVkoZ\ntdbhow9qaGhgwYLuXWNXrFjRteZVbyRZjSwsTueDw63UtwfYVeNiekHyCdehWr6omNWbK/nbhnK+\ncckUWatKCCGGsJUrV7Jy5coT7cqO5f3DKRcOlLG5yZwzNY+1u+p47PX9/PQzcxMdkhBCjGinmwuP\n1mPxCCwEXgTmAs8ftb21txc5yr+BccBeoBg4eHyyBMjJyaG/17ZKsZmYPyaNDw63UtniI8liZGy2\no9txS6bnkZNq5WCdiw8PNTN/fFa/xiGEEGLg9FRoKaUaYzzFsMqFA+WLH5/A2l11PP/+EX5wzUwc\nlpP9c0MIIUQ89UMu7HKyYav3dnz5Da31U50fwDdjObFS6lzgeqBAKXWPUsoO3AFcpZT6NvBd4LO9\nDfh0pDvMzBqdCsC+OjctJ1j/0WQ0cNWZsuajEEKI4ZkLB8IFM/IoyU3G6Q3yuzdk7qMQQgwXsSzV\ncblS6kyl1PlKqS3EOEynY17ITVrr0Vrr+7XWXq11ldb6i1rrH2utP6e1/uD0wu+9/DQrJVl2NLC1\n0kkw3L2VeOeajy9+WHnSBjtCCCFGjGGVC+PNYDDw1aXRZTt+8/IeGpy+BEckhBCiP8RSPI7WWr8H\n3EO0Q9y0+IYUf5Nyk0izm/AFI+yoakcf10Bn6ug0inOSaHYF2HyoKUFRCiGEGESGXS6Mt+vPKWFW\nSSZuX4gbH91AuzcAQCgc6ZZ3hRBCDA2xFI9tSqkCwKe13gX0emzsYGMwKGYXpmIyKOraA5Q1eo/Z\nr5Ri6ezo2lSvbqlORIhCCCEGl2GXC+PNYDDw4GfmkmQzselgE7Pv+Bdz7/wXhV95juKb/8GnfvY2\nL31YdcIRPlprap1+9te5ONLk6bFLuhBCiIEVS/FYCGwAfqeUOpto84Ahz2ExMnN0CgD76t3UOf3H\n7F86ZxQAr22tGfDYhBBCDDrDMhfG27ySDP78zcUUZSfh8YepaYnerA2EIqzf18AXHtvAvLv+xWOv\n78cXiPYMqnf6+cGzO7jgh6+z+J5XuOiBf/PwK/vxBrv1FBJCCDHAVCxDR5RS6VrrVqVUGmDVWtfH\nM6iJEyfqJUuWALBs2TKWLVsWt2sdavCwr96N3Wxg8cRMDB2t2EPhCDNuXU2rJ8ja+z7BpILUuMUg\nhBAi/lavXs3q1asBePzxxw9orSf25v3DORfGW5PLz7YKJzVtPvLTbfgCEf69rZrXt1RR3xadD5mX\nbmdqUTrbDzfT1O7vdo6bLpjEfdfMxGiQJbSEEKKvTjsXnqp4VNGFreYAKR2brtdaf6kPscaseMpM\n/c1fPxvPSxxFc6TJSyCiyU22kGo3d+15ZUs1O460sGhyLosm5wxQPEIIIeLt1k9M3qy17r6IYg8S\nkQsXLFigh+pSHbHQWuPyhfjzu4d55JW9XUUkQElOMndfOZ1L543mt6/v44HndmBQ8PMbFvLpRcUJ\njFoIIYYPpVSvciGcfJ3HTqs7Pjd0fJ7Zq6j6wGYycsHUvHhfpkuDy8/+eg9Wk2LemDQU0bua6RYj\n3znYxJHadr535fSu7UIIIUacAc+Fjd5GHt3yaLwvk3jZsOLTmoN1Ltq9QdKTzJTkJlOtDvH4DjAW\nwDmltWwua+aBte9QrsaSdtSNXiGEEAMnluKxTWv9mc4XSqm5cYwnIbKTLRxp9uIPaZy+EGm2aFKa\nU5JJmsPMkUY3h+vdjM1NTnCkQgghEmTAc6HNZOPconPjfZlBY8lJHiieM0rzlZXvc6TWzbYdedx9\nxXRMRrmhK4QQAy2WhjmblFITjno9O17BJIpCkZ1sBaCxPdC13WQ0cM6U6BPQf26qSEhsQgghBoVh\nnwsHM6NRcduyqQCs21nH39+vIBSKTrtx+ULUtvi6XgshhIifWJ483gfcEp3ugQJSgSfjGFNC5KSY\nqWr10egOUpKtMXY0zvnUGUW89FElr22t4TOLx5KdYktwpEIIIRJgROTCwWxKYRqfLR3H/1t7iD++\ndYDXt1Tj8gVpc0dv+hoMivF5KSyYkMU5U3KYkJeCzDYRQoj+FcuTxx9qrcd1fIwFvhzvoBLBYTaR\nbDUSjmia3P95+liUlcTiKXkEwxH+tqE8gREKIYRIoBGRCwe760vHcuXHiohENFVNbtrcAUxGAykO\nM5GIZn+Nk7+sK+Nrj3/Adb96h/V7Gk59UiGEEDE75ZNHrfXPlVLZQD5wWGu9Kv5hJUZeqgVXg5fa\nNj+5HcNYAT69uIR1e+p4cXMln/zYGArS7QmMUgghxEAbSblwUFPw1aWT+MzisRyobSfVYSE/3YbF\nZKDFFWD9/kY2H2hiT3UbLS4/P/z7Nr504USuPnNMoiMXQohh4ZTFo1Lqs8B3ge3An5VS07XWD8Qz\nKLfbzQMP3A/A4tJSSheXxvNyXbKTrZQ3+XD5w7j8IZKt0R/PuNwUzp+Rz7+31/LHNQe568oZAgp7\n3AAAIABJREFUAxKPEEKI/rN23VrWrV3b+TKtN+9NRC5sdbVy2yO3ATBl8hQmTZ4Uz8sNPWZoD0LV\nUQ8XM/PhgjzNokCYdXsa2F7ewlOb99FqKGJiQUrP5xJCiBFi39597Nm7p/Nlr3IhxLbO48+01nco\npe7SWv9EKXWP1vr+PsQas8kz5uhVr7wdz0v06HCTh+o2P5kOM1Py/9NdtbbVy02PbSAYjvDoFz/G\nhPzUhMQnhBDi9M0qSu/tOo8DnguH+zqP8eYNhLn7L1t45p0yHFYTb917AcU50jVdCCE6xWudx7aO\nz51VprFXUfWBLxTmjd118b7MCYXDmvIWDxENB+rbsJn/8yOaOzGLTQeb+PnLe7j6TFmkWAghRpAB\nz4Xi9NgtRv5n+SwO1raz6UAjX3jsPV7+zvlYTLG0exBCCHEisRSPeUqp3wIFSqmf85/EGTc5yVa+\ndWHihuccqHdzoMFDis3IWeMyMHR0Xv38WcWc+Z1XOHikjSmXJXHx3NEJi1EIIUTf3dr7twx4LhSn\nL9Vu5lefn8/lP1nDzopWPvvrd/nTLWdjlgJSCCH6JJbfnt8EPgQqgL3AXXGNaBAoyXZgNxto94U5\n3Ojt2p6ZbOXOK6YDcNsfN1PX6u3pFEIIIYaXEZcLh4sJ+Sk8fNNCHFYTa3fVUfqD13hlSzWnmrYj\nhBCiu1POeew6UKkMAK11S1wjYnDM82h0BdhU3oZBwaLxGV3NcyIRzXW/Wsfa3fWMyrDzwH/N4cJZ\nBZiMchdTCCGGir7M8+h434jKhcPJG9tr+eaTm2h0+gAYlengvOl5nDM5l0WTssjPcCQ4QiGEGFh9\nyYU9VjxKqR8rpR7t+HopUAnsV0rddHphDg3ZyRZGp1uJaNhZ7eq6Q2kwKB754sdYMD6T6hYvNz66\ngY99+2Ve2FghdzGFEGKYGem5cDi5YGY+a3/4Cb7w8YmkJ1mobvbw53Vl3PzE+8y58yVm3/EiX175\nHpsONiU6VCGEGLRO9rhsFPD1jq+/C3ye6PpWi+Md1GAxOS8Zi0nR4glS3vyfIao5qTb+cft53HvN\nLMbnJVPd4uXLK9/nS797j1Z3IIERCyGE6GcjPhcOJ5nJFn503Ww2/+QSfveVM7nunLFMH5OOzWKk\nrtXHCxsruezBt/j67z/A7Q8lOlwhhBh0TtYw55DWOqKUygKmAM9qrbVSqizeQbW1tbFixQoAli1b\nxrJly+J9yROymAxML0jhowone+vcZDospNqjPzKzycBXPzGJFRdM5E/ryrhv1TZe3FzFu3saWHHB\nRC6eO4qJBakYDSohsQshhDjW6tWrWb16defLWNe2GvG5cDhKspq4Yn4hV8wvJBLRVLf6eGd/I//e\nVsOrH1ay6r0jbDzYxI8/PZfzZ+QnOlwhhOg3fcyFXXqc86iUekRr/TWl1LeAuVrrz3Vsf0hrfVtf\nA47FYJvnsbO6nYoWH0kWI2eNz8B0goLwcL2Lbz21iQ37Gru22S1GzpqUw9VnjuGKhUVSSAohxCAR\n6zyPRObCOSUl+rXbbo/nJcQxNJ5AhIP1LtbvqaPdGwRgQl4qn5hTgMMSS4N6IYQYOvK+cUu/rvO4\nTSlV3/H1uQBKqSeAzD7GN2RNyU+mxRPE5Q+zp9bFjFEp3Y4pyU3mudvP5a2ddTz3/hHW722gusXL\nmztqeXNHLb98cTe3XT6Ny+cXYpAiUgghhoqE5UKDzUbKkiXxvow4SgqQozW5DW6e31jJ29treC8Y\nZu3hZH722bmkJ1kTHaIQQiTUSbutKqVSAL/WOtDxuhho01q3xjOowfbkEaDdF2LDoRYiGuYUppKf\nduoEUt/m4+WPqvjNK3upaPIAMHlUKp8/bxxnTMimMMuBw2KS9aaEEGKA9abDXKJy4bwpU/S7q56N\n5yXESbS4A2w63MKTb+6nsc1HUXYSP79+nhSQQohhwzFzRq+fPMa8VEdvKaXygfuB2VrrhR3b5gN3\nA5uAM4Cfaa03HP/ewVg8ApQ3edld68JkUJw9PgO7xRjT+4KhCM+sP8wv/7WHqmZPt/15aTYWjM/i\ns4vHct70PJSSJ5NCCBFPfV2qow/X6XMulOIx8XyhMJsOt/DYy3tobPORn2HnnqtmMjE/NdGhCSHE\naetL8RjPR17nAC8AR1dC9wN/1lr/BHgauC+O1+93YzJt5KZYCEU026qcRGIsvM0mA58tHcf6+5fy\n8I0LuWJhIRMLUkiymjAoqGvz8a8Pq/iv/32Ha3+5jr3Vzjh/J0IIIQbIsMuFI4nNZGTR+Cxuu3w6\nuel2alu8fOMPG7n/2W1sP9ICyBJdQoiRJW6zv7XWq5RS5x23uQ7I6fg6B9gcr+vHg1KKGaNSePdg\nCy2eEB8eaSM3xYovGCEUjmA1G8lONpNqM53w6aHVbGT5omKWLyru2haOaCqb3LywsZJHX93L2t31\nfPy+17l03miWTM/nvOl55KfbB/LbFEII0U+GYy4caQxKMa84nfuuncMf1hxk47561u2OfozJTuLy\nBUVcODsfm1ka6gghhr9eD1tVSi3RWr8V47HnAT/vfByqlCoE/gq8B5wFfENr3S1pFhcX65ycnOM3\ns2LFiq625YnU7A7w4REnociJf3bJViMFaTZSbUYiGtz+ME5fCJc/RCAUQSlFktVIfqqV0em2ri6s\nzS4/Dz6/k6fXHqLzj0UpuH7xOL79qRlkJFkG6lsUQohhYeXKlaxcubLb9s2bN5drrUv6et6ByIUT\nc3L05/O7LxMxf/585s+P+4hbcQKeQIgjTV721zg5XNeOPxQGwGw0MrEgldkl6YxKt8v0EyHEoLJ5\n8yY2b+5+n/J7O3b0OheesnhUSs0C7gGyiQ67GaO1Hh/TybsnzA+Br2mtNyilZgJvAPn6uCAG65zH\no/lDEQ43eghGNDaTAZNR4fGHqXX6CYRjL8jtZgOT8pLIT7V2JZvyBhdvbK9lzc463tpZSyisyUy2\ncPeVM7ju7BIs0mBHCCFOS2/nPEouFJ3CEU2t00+D08+rW6tZvbGCAzX/mW4yeXQal84v5L/OLqYw\nQwpJIcTg1Zf5/7EUj08BvwKuBX4PfElrfWeMAZ3HsQmzAViotT6slMoGDgAZwylhRrSmoT1AoyuA\nOxDGqBR2i4FUm4kUmwmryYDW0OwJUtboweWP3rV0WIxkOsxkJJnJTrZg7SgQ91Y7uftPH3atH1mU\n5eCJr57F7OKMhH2PQggx1PWheJRcKE5Ia82GfU384a0DvL6tGn8wAkTXer72nLHce9UM7LJGpBBi\nEOpL8RjLb7PtWuuPlFIXaa33K6X8MQZzLnA9UKCUugd4CFgB/FgptQ2YBtx4fLIc6gxKkZdqJS/1\n5K28R1uMFKRZqWrxsb/BjScQxhMIU9nqAyDTYSYv1UpxThLP3X4uL2yq5KHVu9hf086VP13Db790\nBkvnjBqIb0kIIYTkQtEDpRSLJmezaHI27d4gq947wh/XHmJ3ZRtPvnmA9XvqefqWsynOTkp0qEII\ncdpiefL4D+CHwH8B7cCFWutz4xnUSLvbGtEapzdEiydIkztIkzvA0X8s6XYTY7MdZDjM3PH0Zp5Z\nX45ScOfl07l56SSs5tiWDBFCCBHVhyePkgtFr7y6tZpbn9pMU7uf3DQbv795EQvHZSY6LCGE6BKv\nYatjgQAQJLou1bNa63f7HGUMRnrCDIYjNLQHqHX6aXQF6OzLk59qZUp+Er99bR8PPr8TgJKcJH6w\nfDZLZxfIvAohhIhRH4pHyYWi16pbvFz7y7Xsr2knyWrioRsXcMW80ZKvhRCDQl+Kx1N2XtFal2mt\nq7TW9VrrWwFbnyMUMTEbDYxKtzFvTBrnT85mSn4SRgPUOv2sO9DC4hmj+OWNC5mQn8LhBjc3PLKe\ne/+2FRn1JIQQ8SG5UPTFqAw7r3znfBZNycHtD3HL4x/w69f2EwxHEh2aEEL0ySmLR6XUxUqpfyql\n3lRKvQV073ku4sZkVJRkOTh7fCZZSWbCEU2DK0BGmoNvXzOHWy6ZgtmoWPnGAb7++414A+FEhyyE\nEMOO5ELRV0k2M3//VilXnTmGYDjCj1Zt49MPv8uHh1vkpq8QYsiJZdjqWuAbQAvR9uSf11r/MJ5B\nTZw4US9ZsgSAZcuWsWzZsnhebkjxBsK0eII0ugJUt0X7NRyobuOh57fjDYSZPCqVWy6ezBULijDL\nkh5CCNFl9erVrF69GoDHH3/8gNZ6YqzvlVwoTpfWmkde3cdPX9hJIBTBZFRcMr+IWy6axIzCNBnK\nKoQYEKeTCyG24vEXHUN0Ol/P0Vpv6UuwsZJ5HrFp9QTZVuXEE4hQ1eTi0X/tpqrZA0BBup2bPj6B\n60vHkuawJDhSIYQYXPow51FyoegXB2ud/GDVdl7fWtO1rTDLwfj8FBZOyKZ0Si7zxmZgMsoNYCFE\nfMWrYc41wNeBg0Tvts7s7UV6SxJm7ELhCDuqXdQ6/QRCEXaVN/HSpgr21bQDkGQ18akziphbksm0\nojRmFKVLQhJCjHh9KB4lF4p+taWsmZ/8cxfv7qknEDp2DmSK3cwZE7P5xsWT+diE7ARFKIQY7uJV\nPG4AHgRaOzZdr7X+Yt9CjI0kzN7RWlPV6md3rYtwRGM2Khqa3fx9/WHe3dtwzLElOUncfvk0Pvmx\nMRgNMkRGCDEy9aF4lFwo4sLlC/HR4WY2H2rmgwNNbClrotkV6Nr/X+eU8JPPzMMiU1GEEP0sXsXj\n/2qt//uo1xO01gf6GGNMJGH2jScQZmulkzZvqGtbfauHPRWtVDS62XGkhZoWLwCTR6Xyw+WzOG96\nfqLCFUKIhOlD8Si5UAwIrTXbK1p57PUDrN54hFBYM7skgz9+bRF56fZEhyeEGEbiVTz+EdBEh+oA\nlGqtL+hbiLGRhNl3WmtqnX6ONPto8wa71ogECEc063fXsfqDcurbfABcPGcUP1g+m+KcpARFLIQQ\nA68PxaPkQjGgIlrz/KYq7vnzRzS7/CTbTFxfOo5zp+VSkpNMYZZDpqEIIU5LX4pHUwzHjAWeOOp1\na08H9htXPbz147hfZjhSQEHHRwTwB8P4QxF8oQihsGaSDnP9fM2hOid7K9sIHtA8+xOYPy6LaYXp\nZCZbMcpoViGEON7A50IxohmU4lMLCxmfl8xtT21mx5EWHnttH4+9tg+AZJuJ86bn8bWlk5k7NjPB\n0QohRopYnjzO0lpvO+p1rta6Pp5BTR03Wn/m4rMAKF1cSmnp4nhebkTxhSIcavDQ6g3h9ARYu72a\nTQebuvYbDYrJo1L5xKwCLpozGoPc1BRCDBNr165j7bq1AHzv0Wd7u1THgOdCWapDdGrxBHl2YyVr\nd9ZyuK6dRqefZpe/a/+8sZksW1DIudNymTpalv0QQvRsIJbq+APw5FGbNFCmta7sXaixWzBzkt70\n6jPxOv2IpzXUtvspb/IS0XCkwcVHBxs5UOOk3RvsOu5jE7L48oWTKMpy0PnXRPKREGI4UKPn9XbY\n6sDnQhm2Ko4SjkSnpVS1+mhxB2l0+vj31mre3F6NLxDuOi431cZnSsfypY9PIDPZmsCIhRCDXbzm\nPL5DdARkGTAO8HXs+qfW+td9CfRUpHgcGN5ghMON0aeQnX8L/MEQuytaefXDSrwdycigFBGtsZuN\nnDExm2ULCpk5Jj1xgQshxGnqQ/E48LlQikfRg1A4QrM7SIMrQFWLl/V7G9h+uJmdR1podUc7tWal\nWHnoc/O5aM6oBEcrhBis4jXn8WWt9QNHXeROrfVPlVL39zpCMajYzQamFiQT0RAKa8Ja4/SGSHdY\nGJubwpqdNWwvayEUia4/5Q2GWbOrjjW76pg5Jp3PnDOWuWMz5WmkEGIkkFwoBg2T0UBuqpXcVCvT\nCpI5e0ImzZ4gza4Ab+9uYNX6MvZVtXHDI+u5cmER/33JFKYWpiU6bCHEMBBL8Xj8LavxHZ+d/RyL\nSBCDAotJAQq72UJuigVXjoPphWm0eQM4fWE00Ob289GhJj7Y28D2I63c/eePmDwqlaVzRnH2lFwy\nHOZEfytCCBEvkgvFoKSUIslqIslqoijDzpSCFJZMy+XJNQf5+7tlPL+xguc3VjC7JIMvLBnP5QuK\nsFuMiQ5bCDFExbTOIzAB2A9MItqm/Cngh1rrS+MRlAxbHVwiGpo9QVrcAdp9YVo9ATbua2TD3jo8\n/uiakgalmDM2g0vmjuasSTmYpWWrEGIQ68Ow1YHPhTJsVZyGdl+INbvr+cs7h1m/p65rXmSK3cxV\nZ4zhwln5LByfTarc+BVixIrLnMeOE18CTAd2aa3/1cf4YibF4+DmD0Wobw9Q0eTlo7ImdlW0crDG\nSaTj71Kaw8InZhdw3vQ8xuemSMdWIcSg09viERKQC6V4FP3A7Q9xqMHNs+9X8OpHVZTVtXftMygY\nl5/C7OIMzpiQzfxxmUwelSrrRwoxQsSteDzuItdqreNa2S2YMkZveuyr8byE6AcRwBcM4w9GaHb5\n2V/bzuF6F07Pfzq22sxGCrPsFOckk59uJ81hJslqQp5LCiESSZ3/nV4nzGPePxC5UIpH0Y+01jS5\ng7y5s45Xt1Szt6qNsrp2wpFj/x2YkWTh/FkF3HjeeGYXp2OWQlKIYatfi0el1J+11p9WSpVBVzNO\nBaRqrbNOL9STk7Wthh6tNQ2uADur2tlZ2ca6nbXsrmihvs3X7dgUu5nL5o1mxQUTZQK/EGLA9GVt\nK8mFYjgKhCI0uQM0uwJsO9LC1sMt7KlycqDGSaMzmrdNRsXskkzOmpTD/LEZTCtMpzgnKcGRCyFO\nV9zWeVRKTdJa71NK3XJ0G3Kl1Fe11o+dTtCnIndbh65gOMKBeg9HWrxoDQ1tPvZUtrLzSAu1LR4a\nnD7cvug8SaXgyoVFXLuomFnFGbIelRBiwMR6t1VyoRgp/KEIjS4/28vbePrtg7y5vYbj/4U4c0w6\nNy+dzBULCjEYFOGIJhLRmE3ydFKIoSjuw1aVUnOAHVrrUG+D6w1JmEOfPxTB6Q0RikRwWIzYzEY8\ngTAVzV42l7XwxtYq1myvOWa4TFaylTE5SeSk2khzmJlemMYFswqYkJ+SwO9ECDEc9SVhHvVeyYVi\n2Ktt9fLc+xVsKmvmSIObg7XOrvWfbR15vXNNyVGZDhZPzWXx1Fzy0mwYFfiDEQwGRVGWg7G5yShZ\n10uIQScuxaNS6q/Ar4CLgAuB7Vrrr/Q5yhhIwhzevIEwZU0etpS38tb2GnaWt1DV7MYfjJzw+FnF\nGXzqY0XMLE4nO8VGcU4SNrO0GRdC9F1vE6bkQjGSeQJhDjd4eGbDYZ7dUN41tFV1/OdUzyGmjk7l\nvy+ZyhULC6WIFGIQiVfxeLvW+udKqQ+ARcCdWusfneI944H7gQ+BQqBJa32fUioTeBA4BEwEvqO1\nrjv+/ZIwR4ZgOEKzO4jTF8IfDNPk9FPV7KGuzUdtm5cDNe1sPtjY1V68k8VkYMG4LJbMyOPcaXnM\nKErHYJBkJISIXR+KR8mFQgD+YJiGdj8uX4i8NBv+sOa9fQ2s2VnHrspWPP4QBqUwm4yEIxEqG924\nOqarzCrJ5Kozihifm0xBhp2iLAd2qwmXL4Q3ECY9yYzDcuolyL2BMK9ureaFjRXUtfooyLDz5Qsn\n8rEJ2fH+9oUYVvpSPJ76/1AYrZS6HtiitQ4ppewxvCcT+KvW+oWOwHYppf4FfAl4Q2v9N6XUMuDn\nwPW9CVgMH2ajgbxUK3mpHXMdR/9nXyiiqWn1Udni5a0dtXx0qJmaFg/t3iB1rV7W72tg/b4GHnhu\nByl2M/PHZbJkej7zxmYwZXQaKXZZt0oI0a8kFwoBWM1GCjMdx2y7ckEhVy4oBKIN9Fq9IWrb/LR6\ng7R7Q7y5vZpn1h1i2+Fmth1uPua9JqMiFP7Pg4xUh5m8NDtjspMYn5fM+LxkinOSGZPtoLrFy3Mf\nVPDCxoqu/gkAlMG/Pqzi6xdN5jufnCE3lIWIo1iePH4S+BzwLWAGcKbW+p5eXUSpPcCVwOvAIq11\nRced1wNa68zjj5e7reJ4Ea3xBiK4AyH217pYt7uezYea2HWkhaZ2f7fj89Pt5GfYcVhNFGY6mDkm\nndKpOUwqSJUhM0KIvjx5lFwoRB9FIprqVi9/XX+Yd/c04PSGaHH5aXT6CIQiKAV2iwl/MNxt6ZCe\nlOQmc+6MAkpyktl8qImXNh0homHJ9Dwe+tx8Rh1X4Aohuotrwxyl1Bla6/f7ENQngfO01v+tlPID\neVrrVqWUCQgC5uObDkjCFLGIaI0vGGZXpZPXttWy+VATlY1uqprdx9zFPFpBhp3FU/OYPSad3HQb\nhZkOZhdnyF1KIUaYvjbMkVwoxOnzBcNENBgVhMIRHFYTSil8wTBl9W721bZzqM7Fofp2alq81Ld6\naWz3k+6wMLkwjSs/VsR5U3NJs5uJaE1Zo5d/bKzgsZd24/aHsJgMXH3mGFZcMJEpo2VJMCF6Eu/i\n8SWt9SW9DGgJ8Engm1rriFKqghjuthYXF+ucnJxu51uxYgUrVqzoTQhiBAmEIjS6Anj8IapbvDS3\n+2jzBDlQ2872ijZ2lDd3zbs4Wk6qlc8sHssXz59AdqqNSETT6gmQbDNjkfbjQgxpK1euZOXKld22\nb968uVxrXdLb80kuFCIxtNaEIxqjQZ1wBFGjK8CaPQ08+eZ+Nu9v7FpmZPLoVM6alENRdhLtniAt\n7gBGg8JuMZGWZGF2SSajM+2k2k1kJVkwys1kMQz1Zy7sTfH4stb64phPrNSlwGLg20ABUAx8Hnjz\nqHkey7XW3eZ5yN1WEQ8uX4g1u+t4c0cd1c1e2r1ByhtcXV3jjAZFVoqVFpefYMeTy8IsB3PHZnLO\nlByWTMtjTE5yIr8FIUQ/OY0nj5ILhRikAqEI++rdfFjWzCsfVvHu7toeO7kfbVSmg6lF6UwtTGfB\nuEzOnpRFik16J4jhL95PHsdqrctiPHY+8DbQmfWSgEeAfwI/AcqB8cDd0mFOJILTF6KqNfpkcuvh\nZp5df5gdR1ronGphtxjxBcPd2o9npViZUZTOvHGZnDctj/njMjEZ5emkEEPNaRSPkguFGORCYU2r\nN0ijy8/6vQ1sLWum2RUg2W4mzWFGRzTeQJjKJjcflTV3rV/ZSQHFuclMHp1Kis1MKKIJhCKEIhqz\n0cDoTAdzS9JZOD6LnBQbZpPCIP0UxBAUt+JRKXUOsAQ4qLX+cx/ji5kkTJEIje1+jjS6sVlNaBTh\ncIRDdS4+LGti88Fm9lS24vYfO+zVYTUxY0w6RVlJBMMRfIEwnkAIh8VE6bQ85o7Pxmo2YDIozEYD\nSVYjyVYjDotREo0QCdSnhCm5UIhhJxCK8FFZM+t217PpUBP7atqpbfEQY98e0hwWzCYDZmM0z6c6\nzIzOSmJ6UTr56TZS7GZsZiNKKTyBMG1uPy0uP62uAL5gGG8gTJLVRHFOEgsnZDF9dDo2i6FraK4/\nGMZsNMStN4M/GKatYzhvmycAgMlowGI0YDEbKMpydMV/tHAkwo6KNtbtrmdvtZMDte20uv2MynDw\nidkFXL6giIKMWJpSi0Tq1+JRKfW61vpCpdQlwHeAdUTXozqitb71tKM9CUmYYrCJaE2908/W8la2\nlrewo6KVbYebqW3xnvR9DquJ4txkLCYDWkOSzUSyzUyKw0xWspW8NBtnT85hbE4SBgX1bX4qm91Y\nTUYykiykJZlJtpqwmAyYjAaZiyFEP4k1YUouFGLkaWz3s35fA4fqXbh90QY8VpMBs9GAJxDiYJ2L\nnRVtHKx19tigr68cVhPZKVYiGlpcftz+EAqwW00kWU0k2aKfU+xmUuymrv4MZqMBiylawCqlaHb5\n0RpsFlNX3J5ACJcvhNsXot0bpKLRTbs3eNJ4jAbFqEwHJbnJ5KXZiGgoq29nf7XzhH0kjpaVYiUj\n2cKYrCTG5SUzIS+ZktxkSnKSKcxyyMitQaC/13k0dnxeCJRqrSMdF/lpH+MTYsgyKEV+mo38Wfks\nnZVPRGs8gTBldS4+LGumqtmDxWzEao4+Vaxq9vD61mr217Szu6L1pOdWQIrDTCAUfXJ5ItHJ/UYc\nVhMOqwm7xUirO4DTG0RryE+3MSrTQWGWg6KsJIqyHIzLS8ZsULR7Q0S0Zk5JJqkOmcMhRC9JLhRi\nhMlOsXL5/MJTHucPhmlq9xMIR/D4w7j9IWpbfeypbmNnRRstLj8uXwiXL4gvEMZmMZKVYiMv3UZ6\nkhW7xYjFbMTtC3K43sXOilaa2/0cOWqUk0FBRIPHH8LjD9Hg7N/v1WhQHQWpGYc1+oQxHNGEwhH8\nwTANTh8VjW4qGt3d3pvmsDB7bCYTC1LJz7STZDNT1eRh/e46dlVEl1JravdzoKadN3cc+16TUZGf\nbqckN4WZY9IpykliTJaDifkpFGXaMRiksBysTlY8dvJ0JssObfEKRoihwqAUyVYTM8ekM3NM+gmP\n+f5VMymrd3G43oU/FMFoULS6AzS7/DQ4fdQ7/RxucPPRoSacnuidP4fVRH66HY3uSBRhvIEQobDu\nSEAnvst3qM7FoTrXKWKGGWPSOWtSDqVTcjlzUg5Jtlh+BQghkFwohDiO1Ww84XqSy+aP7vM5a1q8\n1LV6CWvITLGQ7rAQimjavUHafUGc3hCtrgAtngBt7ui2QChCIBwhEIoWfVpr0pIsGFW0wA2FNUlW\nE8k2E2mO6LzPFJuZ0dlJZCRZ0IDFGB162zmlRimwmAyEQhF2Vbayo6KN2lYfKCjJSeKsiTmMzU06\nZjhrREfnhgYumoQ/GOZIo4eqZg8H6lwcbnB1LbtS3+alxRWgsslDZZOHd3YfO+XbbDSQlWIlO9VG\nbpqN/HQb2ak2whGNLxDCaFBkp1gZn5dCRrKFcER3FeipHaO7HFYzdqsRq8mI3WIkxWbq1kE/EonQ\n2B6gosmNQSlSHWaSbSaMhuhIL4NSmI0Km9mIwaAIhSMEw7rrZzNSpx+dbNjqBuBlYBZbiss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WeyvvOB8VWW1zOztf6QTo+5sGfr68Y6Pa6ruT4wF1Z1nR4zvV/fhuXCrvZ5jIjrgOuAFwHfA7SB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\n1vSvB4yNQhHSM8MAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "xlim=[0,20]\n", + "ylim=[24,8]\n", + "\n", + "fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + "ax1, ax2 = axes\n", + "entropy_vals = [13,8]\n", + "\n", + "for j, ax in enumerate(axes):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + "plot_contrasts(curves1, wfe_list, ax=ax1)\n", + "plot_contrasts(curves2, wfe_list, ax=ax2)\n", + "plot_planet_patches(ax1, obs1, age=age, entropy=8, av_vals=[0,10])\n", + "plot_planet_patches(ax2, obs2, age=age, entropy=8, av_vals=[0,10])\n", + "\n", + "label = 'Saturation'\n", + "if rmax1>0:\n", + " rect1 = patches.Rectangle((0,ylim[0]), rmax1, ylim[1]-ylim[0], alpha=0.5,\n", + " color='grey', label=label, zorder=2)\n", + " ax1.add_patch(rect1)\n", + "if rmax2>0:\n", + " rect2 = patches.Rectangle((0,ylim[0]), rmax2, ylim[1]-ylim[0], alpha=0.5,\n", + " color='grey', label=label, zorder=2)\n", + " ax2.add_patch(rect2)\n", + "\n", + "for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.legend(ncol=1)\n", + " \n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + "fig.tight_layout()\n", + "\n", + "#t_exp = obs.multiaccum_times['t_exp']\n", + "#t_exp = round(2*t_exp/100)*100\n", + "#fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + "fig.suptitle(name_sci, fontsize=16);\n", + "#fig.subplots_adjust(top=0.85)\n", + "fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Full observation simulations" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Select F444W with two rolls at PA of 250 and 260\n", + "obs = obs2\n", + "\n", + "roll_angle = 10\n", + "PA1 = 250\n", + "PA2 = PA1 + roll_angle" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Detector ID\n", + "det = obs.Detectors[0]\n", + "detid = det.detid" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Get mask center from SIAF aperture file\n", + "from jwxml import siaf\n", + "inst = siaf.SIAF('NIRCam')\n", + "apname = 'NRC'\n", + "ap = inst['NRCA5_MASK430R']\n", + "mask_cen = ap.center('Det')" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Add Fomalhaut b\n", + "rtheta = (12.7, 318.0) # 12.7 arcsec radius at PA=318\n", + "# Output images will be in coordinates with V3 up and V2 to the left\n", + "obs.add_planet(mass=1, age=age, entropy=8, rtheta=rtheta, runits='arcsec')" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Coronagraphic Transmission mask\n", + "# +V3 is up, and +V2 is to the left\n", + "# Pixel (0,0) is bottom right\n", + "cmask = nrc_utils.build_mask('A', pixscale=obs.pix_scale) + 999\n", + "cmask = nrc_utils.pad_or_cut_to_size(cmask, (ypix,xpix))\n", + "\n", + "# Place cmask in detector coords\n", + "cmask = nrc_utils.V2V3_to_det(cmask, detid)\n", + "\n", + "# Shift cmask to appropriate location\n", + "# ie., move MASK430R from center\n", + "xc, yc = (xpix/2, ypix/2)\n", + "xnew, ynew = (int(mask_cen[0]), int(mask_cen[1])) # In detector coords\n", + "delx = xnew - xc\n", + "dely = ynew - yc\n", + "\n", + "cmask = nrc_utils.fshift(cmask, delx, dely) + 1\n", + "cmask[cmask>10] = cmask[cmask>10] - 1000\n", + "\n", + "cmask[1500:,0:260]=0\n", + "cmask[1500:,1900:]=0\n", + "cmask[1820:,:] = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Make zodiacal background image\n", + "im_zodi = cmask * obs.bg_zodi()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Disk Images\n", + "im_disk1 = obs.gen_disk_image(PA_offset=PA1)\n", + "im_disk2 = obs.gen_disk_image(PA_offset=PA2)\n", + "\n", + "# Convert to Detector Coordinates (flip along x-axis)\n", + "im_disk1 = nrc_utils.V2V3_to_det(im_disk1, detid)\n", + "im_disk2 = nrc_utils.V2V3_to_det(im_disk2, detid)\n", + "\n", + "# Shift to MASK430R spot\n", + "im_disk1 = nrc_utils.fshift(im_disk1, delx, dely, pad=True)\n", + "im_disk2 = nrc_utils.fshift(im_disk2, delx, dely, pad=True)\n", + "\n", + "# Mask out opaque areas from disk\n", + "imask = cmask<1e-2\n", + "im_disk1[imask] = im_disk1[imask]*cmask[imask]\n", + "im_disk2[imask] = im_disk2[imask]*cmask[imask]" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Planet Images\n", + "im_pl1 = obs.gen_planets_image(PA_offset=PA1)\n", + "im_pl2 = obs.gen_planets_image(PA_offset=PA2)\n", + "\n", + "# Convert to Detector Coordinates (flip along x-axis)\n", + "im_pl1 = nrc_utils.V2V3_to_det(im_pl1, detid)\n", + "im_pl2 = nrc_utils.V2V3_to_det(im_pl2, detid)\n", + "\n", + "# Shift to MASK430R spot\n", + "im_pl1 = nrc_utils.fshift(im_pl1, delx, dely, pad=True)\n", + "im_pl2 = nrc_utils.fshift(im_pl2, delx, dely, pad=True)\n", + "\n", + "# Mask out opaque areas from disk\n", + "imask = cmask<1e-2\n", + "im_pl1[imask] = im_pl1[imask]*cmask[imask]\n", + "im_pl2[imask] = im_pl2[imask]*cmask[imask]" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Create stellar images\n", + "im_star = obs.gen_psf(sp_sci)\n", + "im_ref = obs.nrc_ref.gen_psf(sp_ref)\n", + "\n", + "im_star = nrc_utils.pad_or_cut_to_size(im_star, (ypix,xpix))\n", + "im_ref = nrc_utils.pad_or_cut_to_size(im_ref, (ypix,xpix))\n", + "\n", + "# Convert to Detector Coordinates (flip along x-axis)\n", + "im_star = nrc_utils.V2V3_to_det(im_star, detid)\n", + "im_ref = nrc_utils.V2V3_to_det(im_ref, detid)\n", + "\n", + "# Shift to MASK430R spot\n", + "im_star = nrc_utils.fshift(im_star, delx, dely, pad=True)\n", + "im_ref = nrc_utils.fshift(im_ref, delx, dely, pad=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "sci_slope1 = im_star + im_disk1 + im_pl1 + im_zodi\n", + "sci_slope2 = im_star + im_disk2 + im_pl2 + im_zodi\n", + "\n", + "ref_slope = im_ref + im_zodi\n", + "\n", + "# Make sure there are no negative numbers\n", + "#for slp in [sci_slope1, sci_slope2, ref_slope]:\n", + "# slp[slp<0] = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Superbias for data reduction\n", + "caldir = pynrc.conf.PYNRC_PATH + 'sca_images/'\n", + "fbias = caldir + 'SUPER_BIAS_485.FITS'\n", + "hdl = fits.open(fbias)\n", + "bias = hdl[0].data" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def average_slopes(ramps, bias):\n", + " \"\"\"\n", + " For a series of ramps, calculate the slope images then average together.\n", + " Would it be better to average integrations into one ramp, then find slope???\n", + " \n", + " \n", + " \"\"\"\n", + "\n", + " slopes_fin = []\n", + " for i in range(len(ramps)):\n", + " #print(i)\n", + " hdulist = ramps[i]\n", + " data = hdulist[1].data\n", + " header = hdulist[0].header\n", + " ref_obj = pynrc.ref_pixels.NRC_refs(data, header, DMS=True)\n", + " ref_obj.calc_avg_amps()\n", + " ref_obj.correct_amp_refs()\n", + "\n", + " # Subtract superbias\n", + " data_corr = ref_obj.data\n", + " for im in data_corr:\n", + " im -= bias\n", + "\n", + " # Create time array\n", + " ng = data_corr.shape[0]\n", + " tvals = (np.arange(ng)+1) * obs.multiaccum_times['t_group']\n", + "\n", + " # Flatten image space to 1D\n", + " data_corr = data_corr.reshape([ng,-1])\n", + "\n", + " # Make saturation mask\n", + " sat_val = 0.8*data_corr.max()\n", + " sat_mask = data_corr > sat_val\n", + "\n", + " # Create slope images\n", + " # Cycle through frames using only unsaturated pixels \n", + " im_slope = np.zeros_like(data_corr[0]) - 10\n", + " for i in np.arange(1,ng)[::-1]:\n", + " ind = (im_slope==-10) & (~sat_mask[i])\n", + " if np.any(ind): # Check if any pixels are still True\n", + " im_slope[ind] = pynrc.fast_poly.jl_poly_fit(tvals, data_corr[:,ind])[1]\n", + " #print(im_slope[ind].shape)\n", + "\n", + " # Special case of only first frame unsaturated\n", + " ind = (im_slope==-10) & (~sat_mask[0])\n", + " im_slope[ind] = data_corr[:,ind] / tvals[0]\n", + " #print(im_slope[ind].shape)\n", + "\n", + " # If saturated on first frame, set to NaN\n", + " ind = sat_mask[0]\n", + " im_slope[ind] = np.nan\n", + " #print(im_slope[ind].shape)\n", + "\n", + " data_corr = data_corr.reshape([ng,ypix,xpix])\n", + " im_slope = im_slope.reshape([ypix,xpix])\n", + " slopes_fin.append(im_slope)\n", + "\n", + " slopes_fin = np.array(slopes_fin)\n", + " slope_final = np.nanmedian(slopes_fin, axis=0)\n", + " \n", + " # Fix NaNs\n", + " slope_final = nrc_utils.fix_nans_with_med(slope_final)\n", + "\n", + " return slope_final" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "ramps = obs.gen_exposures(im_slope=sci_slope1, targ_name=name_sci)\n", + "slope_final1 = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "ramps = obs.gen_exposures(im_slope=sci_slope2, targ_name=name_sci)\n", + "slope_final2 = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "ramps = obs.nrc_ref.gen_exposures(im_slope=ref_slope, targ_name=name_ref)\n", + "slope_ref = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.185490448712 0.196071397578 0.186936134852\n" + ] + } + ], + "source": [ + "med1 = np.median(slope_final1)\n", + "med2 = np.median(slope_final2)\n", + "med_ref = np.median(slope_ref)\n", + "\n", + "print(med1, med2, med_ref)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [], + "source": [ + "#rho = nrc_utils.dist_image(slope_final1, center=(ynew, xnew))\n", + "#mask_good = rho>100\n", + "#mask_sub = mask_good[1500:1900,850:1250]\n", + "\n", + "ref_sub = slope_ref[1500:1900,850:1250] - med_ref\n", + "im1_sub = slope_final1[1500:1900,850:1250] - med1\n", + "im2_sub = slope_final2[1500:1900,850:1250] - med2\n", + "\n", + "\n", + "# Scale factor for Roll 1\n", + "scale1 = nrc_utils.scale_ref_image(im1_sub, ref_sub, smooth_imgs=False)#, mask=mask_sub)\n", + "\n", + "# Scale factor for Roll 2\n", + "scale2 = nrc_utils.scale_ref_image(im2_sub, ref_sub, smooth_imgs=False)#, mask=mask_sub)" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.900565759599 0.900654615808\n" + ] + } + ], + "source": [ + "print(scale1, scale2)" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "diff1 = (slope_final1-med1) - (slope_ref-med_ref)*scale1\n", + "diff2 = (slope_final2-med2) - (slope_ref-med_ref)*scale1" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from scipy.ndimage.interpolation import rotate\n", + "def rotateImage(img, angle, pivot, trim=True):\n", + " padX = [img.shape[1] - pivot[0], pivot[0]]\n", + " padY = [img.shape[0] - pivot[1], pivot[1]]\n", + " imgP = np.pad(img, [padY, padX], 'constant')\n", + " imgR = rotate(imgP, angle, reshape=False, cval=np.nan)\n", + " if trim: imgR = imgR[padY[0] : -padY[1], padX[0] : -padX[1]]\n", + " \n", + " return imgR" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Convert back to V2/V3 coordinates\n", + "diff1_v23 = nrc_utils.det_to_V2V3(diff1, detid)\n", + "diff2_v23 = nrc_utils.det_to_V2V3(diff2, detid)\n", + "\n", + "\n", + "xnew_flip = xpix - xnew\n", + "\n", + "diff2_rot = rotateImage(diff2_v23, roll_angle, (xnew_flip,ynew))\n", + "im_final = (diff1_v23 + diff2_rot) / 2\n", + "nan_mask = np.isnan(im_final)\n", + "im_final[nan_mask] = diff1_v23[nan_mask]\n", + "\n", + "#im_final_sub = nrc_utils.fshift(xpix/2-xnew_flip, ypix/2-ynew)\n", + "\n", + "#im_final = rotateImage(im_final, PA1, (xnew,ynew), trim=False)\n", + "\n", + "#diff1_rot = rotateImage(diff1_v23, PA1, (xnew,ynew))#, reshape=False, cval=np.nan)\n", + "#diff2_rot = rotateImage(diff1_v23, PA2, (xnew,ynew))#, reshape=False, cval=np.nan)\n", + "\n", + "#diff1_rot = rotate(diff1_v23, PA1, reshape=False, cval=np.nan)\n", + "#diff2_rot = rotate(diff2_v23, PA2, reshape=False, cval=np.nan)\n", + "\n", + "\n", + "#nan_mask1 = np.isnan(diff1_rot)\n", + "#nan_mask2 = np.isnan(diff2_rot)\n", + "\n", + "#diff1_rot[nan_mask1] = diff2_rot[nan_mask1]\n", + "#diff2_rot[nan_mask2] = diff1_rot[nan_mask2]\n", + "\n", + "#im_final = (diff1_rot + diff2_rot) / 2\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "im_final_shift = nrc_utils.fshift(im_final, xpix/2-xnew_flip, ypix/2-ynew, pad=True)\n", + "im_final_rot = rotate(im_final_shift, PA1, reshape=False)\n", + "im_final_rot_sub = nrc_utils.pad_or_cut_to_size(im_final_rot, (800,800))" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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INPT2FrRIb68TXshEkCtAohApGN2r0YBqNpySlsFjI/z2/thAEVMGdNdNMJXn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0AAAg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+i9uSNBEl3n72P53A4+//GA7cfwcePfZ5Fblb3xyF8es5nHtjHM+7/hTmb6RJf+ZjxzC+e3bT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M1TA8tmqTpbPjjGrt2Eero8PQNXWljeuVvN25OYytkZ6JeeRxTR4UGMCPNpEXN44NEtliNw\nuk5lqHdBV4RKVFGAe/8eLo7jMRMM2uEQ7GTKTh4P5qp61l4jgEXiNaKpdLeL/SOe6ZPnWA5sIg+3\n8i5+v1rqlGo6KTc2HYQSVFHEOOUnjfpr4F0bfz65Rpk35a7ExGyNk9xE1PlJr5OpWilXm3Cnb2RK\nRxO9eP4WKxkBwBMVmPma/THsaJTdrkcvJ0FAvcg5k3r1elCePBJfcoHNczqtIG/oHqhGwR260d/n\nvunKOXSkfr7JDlEAAL3VZkUie3kZFg2ZSvEkWtIkHI8QaHxfmG66yedSRcH1B7oPkSBGSpnhIbGM\nkpnOmHtdHoN2P1FjnKgx2ck01D/E34mlk8bP15Qx3WqB2avqH+vtbsD4J7UP2cGrlqVfKC7Fl40o\n+OLvaYchFwPeDSQQWADg3Q+nDalo3Wgilp76CPb2WCM3ukb/LnFvBDGqjkbg/JjsdIZ9INuUt6/3\ng8+mo39CmGSt1XRPbmyEF/8gG7AyZFy536/6DlnadLOJreK9r0Rhvj2fBTr05jssAIh5SgBgeecu\n5qUpsk6fb6ZzMzJPX1y88tLKBTS9xuxzVyqWMbRlfd5YFu194a0SOIjzsJycR92kiAxytnqnh9Fb\ns1ElcfOIJ15MfNOPnIsknQiAETV+bxIJlUNZcnGRnLk0KqJGvyORGFtCeXJaXZB9ekhev+5uRega\nqgUwnUYi7rFSIKTfB+cclKdnFaFy0mQlOmLimufr8+YGQ+xspWfiNYQZYGBdeE4e+aR7vdpCrPO7\nXBmYhYvFuVMePwxi7SJIcBa/q7tdBjXobpeRWwSttARv9XOMWEI/fo7+o7RNokm/hVqbq0+j9CvC\nDTdZSLLNJlddCDMvnDSZJySjVm2Z862MbZOdhTzPYJB3qv5+pyLkbP56WatWjFWZIPZNDS/xIE3c\nzCRyz+kCVydZByCc+HIJUAQhGRKWwB90OIcn0iPpRgBgCGj56DQwGlKR13fkMtKGcrUitUYdnOXp\n49D9S126dL5OB9OGZcmNUnhuRIWYg32E0E6niNrxRW7KW9vpFI/hsfTUVew88yKpmZHYO98Tn2PG\nMWGDo/b1C9VqVVhjc3PHzee+U9intXKcN9RHcTlCsXLPE0QsmVS0ZeTReMypRdX0RGQC5aPaLXAp\nBYVPsVDTmxL00yppYtKdDpjdndCxnCwExERqfZEdO4z9rpNqIXSfO53A9Ok59evsmXb0tY6PIuwv\nfTZ2fE+CMXe2ep5MPnsj6GAapV8RbrhJ0fdKxcnEdK+H2HSlKxOUz0/3NhdpA4T+hdw9SvOQdN4r\nLgDcyemtDpZHJGIAwE4lykfndkA2OFOZZlBFUeG4ka310fE8aRYf8vxCiKVosMNLHwknjim5Z0QJ\nAeALz4Je25IjkdFj7ljk+BfoWFD4JDw3Ox6jA9za8nUXD4n0DJr2YhAvjLaE8vFZJDsY0Qp0Q2Sp\njEFBDQAm5HKeEVRpTwNNTKXUMQvACwjYMuS2Bb87j306jQqaxXM3s13peP1IVEa7LLh5xJKCtBtQ\njWZEXIZw20boUyiKiPwt3GtMPer+tofWhgJpFPl7CobyYhDYQBPeJ9Vu4YJqS07ZcBOfeCeVMQDW\nhnRfWcPrRc+l9i/PgNU6Pioefu1bMfd4e31DRu5YlfN8WEilDSgWANZE9lccW4TLtxacaKBZdfy6\nRYql1IrqjoCj3TQCX9G6bfp9LkZRe/rKBY8c4XQKzqsh8bhT/qCa+80pDZFSktDRNGCgVAS/1PIZ\nKCFKrpFyl7hRJM8O5dXlfFVFwS83XQfz0EhkS7MZ9y94aB8AMBmYhGCmCy45QKpVmV4vSuukBHDa\n5991rxcCKbrvw6HQOI2Ft3W7DW464/tFUE/8oeRcevR8M81JkaP1KS07GsHy3n2mrag1jfBW9x4i\ncfTBPqjOFrjxmHdP0WfPLzhIsJMpL+JRkb0ssdA/GoddInH2XxK1cxPM7m4YcyV4ROoPOxrjglEU\nUcBB816yYZJwPLPHfuyKsWRXjNCfJtqNTnvFCHRjI6ha7vfyx03gnLl7U7cTEc6sfPPtrDPLWa6Z\nifOgCQuhPF4agef6HsjKyxEUz9/Cwma5Ij/OFxRTR/A/5bPnJrqrTX/uqBU0Cqbfxy1+q4XX4Rck\nTvOkVBYldve6yQQ7R60Ni5df0HiYe3tgZzNOK+h2G1kMRVOdWyK1btSd6RwetyjCAiGVnlqtWCye\nUkuWRLoHGFmmkSsJqE+nmGIYDmMZRk9eFqVB/PHN3l7UIUuLO0fgvvlOop0kzW8kGp+YHfnua6F3\nXMeXwzscTwuxvHsPYL5AxtteqGXoH/4BGP+bXwbdbqMQi+/8zQY6lB6aB8nEsJMK3dARTxSlqIjw\nz1mM9G3p9QvC3JTd76mKGHXbqubqRspn29HX0RCvs+SFuqrVpSCqaCC1Pg+fjuNJdwvpuXMFzE2P\nLbaLq4zFOAQVce2idIVGJ6oPmNdeBffVH4LxD97AfPJ2eBHXPndarLQJDJO2ZCUogPodXhbF4h2R\nRHC4xRwVhSbTmAvfo3J0u83oE1nQA8AoHIxBScEt0SUqgQHTKdY+Th8z42N5fsF5XDKpesTzrSwZ\nCsqcMkohnHM65cIe/T3a5WgD5dkFqKQjXO7IuAGR5pX/z44m6KiokOzpJCrIJH8fysEAF0wqBAu0\nkxTpBqUAGg3/Txw3UxdQUEGLx95eIFcTRvUIuhamhFiiZqs9vwg7k7/6DnR/+xu4IEnGUbJKva1A\n0fetrTjFkqnjqEYTU0a7O74ehjsyLUTUmTAt831apFXRYJ0Dqi3U2bPt6AE2dl5pW75ut+J881VO\nuSZlJH9eG4E+QaF0k3NXrkmkLjY6nvzImiJwlgX0SSknBJ+NWixBvf5NaP7OG/gnGfmve+60WNky\nkiyUefa6HR7L5dHP1nEBOHrxCP2zI2iaPYc9gI98PWU2X1Mr1DCsbziSaTJz/Rqf2w6HvEDY6TQ4\nOF8gjY5HYtbLBSNNeOfRDNG6FUIsKbcMIlM03zeXo2VQCpRwSCTCUoGQUr8CpYSEyR0d7ZLSVCGl\nI9zc0wd7GT8AhBFTvpzGBADAAuzDIe8+5HtQed7+nbDjMRailQ67dZ9e4ecmrll+Vx7b+g5dhqrS\n/Pj8Zyr3yE6n4C4GQE1YXPD1tN9UN9CkMSB7MsqS9RHK08cs+P7xjei9rUqlUDohcri+KLIu3/xR\nWG7FXmmZtvLsx9JrUiq/qNQ5TDFp1qaKrnJcgGjMqxbZ5bvvr1wIc0535Wdyn81wITGKhExuw1nZ\nxxdJez1ExdQonjEmXkAXdbsNqlHEqks+Oi6PH4ZUDSlLgXfClK8/OcG8sKQ2FuReKc6eSLyo3mT6\n/QomnAqwSoddaCXvSw6VdrSea0e1Qju/7iYOESDCrfO4Dg+QymEZhLRVC9NF9HtuBKL+DLrv/joY\nueKCohmTpVmHqJTD/ej+y+uh52x2dxjP72azsLiKtBRfs09PYRptzW7cI5uoIY6cOadzfIqNOG4I\nT08pMdUoQhezT99QRzotoIRmWke5/kzSFHd3OvArv/6LAIBcN3/2u9+KP0DbSdG0Ev3Z43tr7SPk\nlqlNA21qHmq1qiU+l1LJf1ikd3Kf35CDZC0thBhr+eOfBf2HX+ccsuR5WWcRJ3nN9XGqxOuBpltc\nnB9hTOZgP1L6Sa+L4ISuLD2nOlFV+6IhRcSSErkoWCFId7ug9/eQRvjxGY9FaQXO3xZ7fsHCI+Ro\nyotB1J+gvSoRX2dOZYlgfh4yasfjuEANInfv00Km36+wkTI1gHMRXpucTqTalaPpKMuwoNGzny84\nfaQ9e6OdTJmPByAOVlIKEPq5jsTM9Ld9mgtTUfbysvIZpgQ+v8Aagk8vac8MCraE4vlbYE8egYTC\nckop6ckIjthG75I5PAAog4CJbrfBzheg+32wZ2egJDLHwySJI4lmKtFB6O1YUe0rX3kBvvoL/xYA\nKOj2q4ssj++Z5Lr52jvul7/yn/DPOf6RyNY57g0ce+Tc/jZJxtYRf9Hz/JDHaA724eKnPwXbv/H6\nUx1nJV/NmrpC7ruSj6fWlAo8/hK94r+rtMry4TAH/FXqHZnnQC86EVdtwmOkGk2UCMyNp+Y8cs7q\ndhtTHj7IIQ4bpM/1XPGdDhAPi5vPAwSQFviEe8Yc7CPnekZaEVMLS+4oNYcHWPiUY59MEYLpBT/K\n83M8bq/HuXviyaFnIcXZ+TpzgYW4H+boCNxohJ2k/tlWxkv3wUM/VwUqRANB48z+XXIhtdugD/b5\n+nWng8IwflclFwnm7EnmGB1Tktvx3/x9+tX/97+CT335Ex8jrptMwW9VN2tu6xiZLdfnoWUEWyNG\n/ES2YVGYEQcf5QKTKUCZ3R1sNDl9DNu/8frm3cA1qZWsk09x6RmrQ2BIPp66z5Gzk408zEEPEHci\nyrFOpui0dgJW2+zuQPHSC7UpON1sAGG0qTjsSuvnHBYXs04+SS/prXYgTkvoelVRsDoSgEgTEf0C\n5exd0PdFZIfvxiU0zXiMn2sUWJwceQpjgVQhhI7udsFeDLJO3nhZPElMVj4KnbOq1eLn5BbzINXo\nHBeaze5OoHAWz4IL9QIvz523SoXnQP0A2vz/7V1rjGVZVf7WObde93ZVd0/39Mww4oCTwUGeTg90\ntRIeMkac7kEGCSYKajQzRjAaBRTQGAR5+UgUY0BjNMaEH4oBSYzgAwViBggqrwiRYWRCcKC7Z7q6\nqm497r3nLH/svdZZe59zH1VT1TV1Z3/JZLruPfecvfc5Z+291/rWtwDRoSmLoVLQLkOX1E1UY+2Q\nk5fW593EVoISkD62YJPryq0tFBcuafC43Nhwyp+iIuprCkhRF3ce30+f0Ss7/+IRU9LS1Ah2sYxp\nzIzdAWsmSG9Gc3BxJwqUtZqdjwYTThrWGLRuuN79YxRjp2lC2GmAtMHnWKxcCVcxk1IUd7JznOBY\n6rS1qMkoP3+jiqRNwZfVkUkwaiygbpJm1LgROT34y1fU9950/czrzqOURCFPAsizoQJ1wRhwGWrP\nRHpCmjQjftp+xTjRAumeQaM0yix3Wu6+uIX2s9UCdzecQYFjvmimqrmWlrGzsQ0fRHQsJL8w8uJq\nKBmtJz3RTUJFEbrdggFzhrZYrVwtQXm+Xh9SFUt/4l1c1Jqpsn39pGHjCLVxBaoJGGFw2kovy+/K\nza1Kf8bq5DfEs2z73RdlUHi8vFIlXpVSU8CQN3jgSgaiKNzu07pU/QQpvynX1sZSvg+voZ9QV17h\ngx0AxhZ4GIc9lQDehetM9Ep2vLr314qNy6Sso5pS5dyc+p6HHb/bqlLjHtzi4UeqYPoO76f161rD\nZVdx8hLqisqLV3GvXy0YZOXvA2OBD9lmcJoEG919ZrlLmjL1jYH6MytbeFnlqpphrK/eM7REy2ox\nBi6gUXq+tq6UbfuELpnlvthIT4tgu0BpXw2ryCIgyzVZyu5+RXeH+z0MHvh6lSQVP7tZrsHYfGnJ\nBat90FMXFp5UYWUJtJ+zs0pJ1F2imeB4e7uSC4jUPoP8gfgZF28AUSiGNu+Cxhq36XQqITd7/8w4\nsMQ44CZ5F3ztgwd9tK6/Lnzmyal+2jYJsyY/cY1KVABQyYlRBXgOr6GfBFZcyz5YexCXqBmwR8HL\nn/gcY7i8kyJWvxwl0mUR73q4Pxi+XfTiWrtlNNVWfE19VXrsePeRvV+u3F39N+oKMWwWdSlou3pA\nWboX21PueDBwbBVzTtWk8QyXWFendeqkK+8XuT4CjSGvfZIfPw7hqHPfSTjE8sN6b+JnKFZunJtz\nbdeauXlNUkKMoqwks4UFd7zIAbPQTVtu5eldHoGssh1XLzsgVckAt/p3Br1S5FQ3zcYGsqUlcK8f\nFif3E6sG2G12aswQknEwWagyYdjn2Gb2Zu223lM5t9yf1nWnXPxCMoZ7faDfB826pLmy23WTohlv\nihRBNabkufOaPc6McnUtVFJteqb9/SgefkSlqLN2G5iZcbu5aaRX0txc7aGOdS4mWXmP458Og8q0\nCgzDYrfIb75pzEUjRcEJqJn2xZu0bcO2uTUYn2fNRz1itzFUddJAg4PwPmfmgIMeC6qNQuvGJ2g9\nUwDoP/NJlQGNQYT8RMPn9pCjS25s+n3kJ0+MlGUoVledsRV2TauFbH4egwtG9jjLQxE0i7JQ/yz3\ne17itgRyJx7WJOimUrlz4W4BWe4YJSbDuHXdtTUJCmq1AkaPrNK5P6h89KYU4Dhqn7j3yvV1J6/Q\naqHsbjjDKIlXHqLnX1y8WNUbNkJtTdnX0jfpcwy7wxEbEdgKkSvY2PAFzfPaxFw8fLkak8wF8qVG\ngLKUZAL0kt22zoKOo6/jUEqtYv9ck8/KlWxgcQ/nS0sasLV0Tnknys1Nt6sui5Hv66E19LUCFVk+\nsmTcUFeFnyVjAavJGlEf2GEv/NhzEqH46gOTXddDttMB4uQUs0oI2jZicgsMp/h2h7RfVt41gS/T\nnljSNfabB8Gs6MUA4F4+vwpyH3DtwRb1wCYMHnJ0TaG3tf7zfnBR1LI15dzj6J3Fty+oOwODgRb5\nCNpvskptIRLRjsmPLlUCcFxWHOuIBQRA0+UBuCQb75d1AmWlXk+uoTsNa5gAdddw4Qp7gAjFxUvB\nClnaSN5VocWr4VaZrpxezzN1wqzn7Ein0qIhV2w9X1pyK9vclTIsVlermILIKWum8nwlV9xquVV0\nvKuUhYXR9bFtsHLSQd89Su82E1shfHU9f7+H/EhHnzUJZnPf89mlPu/mZjUpRLtWdQea91PUPKXN\nInnsDmQn8wzvksydy0xdcr5d5cZGGIT2OQXFlbrLKcahNfS1LeqQGytoclVYGlSgY7GDwOykaKR0\n2W3uDt1J+gDF/ulJ/fbx9eSFaQjwSnJKI+Lr1QK4Za24RK0pcWGL+Ht/b1Sudcg5arssj1gfv1xb\n23F8Q174Smc885omjPzokpMxoEyzFsFcWylbg1Bcvgz0+16qNguCgnq8fWYtV13aND8PCearEBmX\nwQQmevHuD3FnlCCJl40AABWPSURBVLrAid8LGUMVOjPX5u1trW1g+6IJP+vdqnA6O4E2G8AM8hN8\n0NVKHKh2vTxz270a8YEy0skGQGCQG5lP0veG3bf2uxc+N1xEkgc+eC1tbZ06WSl9Nim4DjG6Irmh\nLigzhlbgDmWpu654UVSsrkKyquXdz4/Wi8/Urj3y28cyhr2oO6A+7jSoOjKLdRfun0cjsjZRIZKd\ntEnOMyzxyui1jEJtVU1Z6G98NLGMCYxzozvLMIPsiihwe8SZsfbnvniI80lXwcWy23VaN+tVxqPN\n9JTnKz9+HPnx4zpZSBukjJ9ORE1GKe6KL3whQUDxzRarq26ysyteIpCvspR1OoFUc1OikRS8CLJH\nrzketskIhkkWrFIXB33H9be0T39NHcMhRlAor/b7YmWlKgDiZQCsgiMAXfGW3e7I9zmLdzlyXT8p\nBSJi29vqptG+mElbFC6zI52a60xKC6pSarQ7bnqHhEEj+vrivrLqoKELdqb6PxGK1fUpZt0MQ0PK\n9sh/7+TUoyaGg048azKgQQboBOyXEUZ4mHGoHRcHX8silJb1QbudXP+Bd511/5jgvsUrIBXg8ihW\nV6sycUbf3QpKqW/YQ0S5dGUbi57lWS14bBcFxeXLKFZWnC/XSEDLC06zsyF7KY7FiDja3FyVNJVX\nq/P82LHAZ56128iOLoLyXI1S2e2G908UIkXwTY4JAoKzVWFtrqofCYuo7Dq6oNWHEX6+6LrLCpRm\nZ50/eUhMTGmJa2sVm2RhoTLEqAKUsmNRiQQ7VkMMXixvTDOzSlMWKQTranPFvquJSap7SdEQEIWi\naxFap06ac7XU7152u3V6tkz+ee4LjvjaAaIOCrfLyDodtJ70nToOstPNjGb+MEyfobcIuMhc0Z/2\n0ijvVrxrp9eQ/4YhCgbHroCJ2C/DVsxZFAQCqi36qDZ75EtLgAnYDW2Lvb75/Xe98T7/w8l0foJT\nqpZ6JR0c7KT8OZs+C4xGdC0bEyi3t136vg3uSn8nSP7iXg/Z8WNaLDs2VlJ9yVVg8kU6NCaSobhS\n+b1FybC49LDqvcTtBtwKNet0UFyqgsLigtHr+oB4fuIat4uYq1brWoR8MKgLkuU5eLtiAlnpiXJr\nS1fHjTtE77YRCQgeDLyLyunCBC4W6/pQNsyI57ysNHG438PgoW8Fuwi5VtZuI+ssuAnc75CCiYKc\n3v8wl6YTGzMlAv0ur1zvKs07CGj7yV8Kjgc0Xx+8F1bR4MFvgJ/6ZFcgSPqdZc3xJoNDKYHwza8+\nxJ/7N6dv8+mPfB73fTBMwx+qxXKQ0gVNyHxW4oQ6NJoyPSblu5aiP0m/JxybkZIFtrlRIHJPMKKN\nk7Zr1Hkb5RPMWFqpAleoeWPo/Zv4GfTnzxYXXYBPmCVApZ1SMrJOu5apO0mfRrXJZZ8O1AiLzk2j\nIB6gi6VLr74NJ/7svtqYBH+b67uygH7XYyUN1tdrYze0Deb8zuXlZBDG6S7JWFCeIzt2FKUY1JlZ\nZ8SNLlHWboPaC16uOPOc/VkXZ/ITdzY7Ay5Kx4Pf3kZ+6lpXPUv663cvwe7fa24BqH+uSpeZo9YW\nXjXUZyGLq6rc2FDZiNaNN6C4cBG8vY3l86dx9u5l8GCAZ7/wabjxlhsaV4OH0tD/z2e/xq8986bq\nIYkFk3aJWKOiCbH+ydBzTfIABifOVWNDf7sTTZUhbZAXq+l6E42XPc6ImoHL0Ig3GRYZz2HXMi8Y\n93q7mhSGjfMoYbXGe9gw1rGuiCs+UU/2EZ97k9QuYCY7P1kHK0EZg8VF8JYLKKsB9vKzMVuKfKEJ\nO2b50lK9yAgRsoUF54oSsbUJnqn4mtn8vHM7CD0wPqbBuMnuqao4Vu+HGmqf/Ul55s5TFE5uItac\nkd/4c4lQXSy3MAo1XSFjoGUis0Y2mOjtYiLzLCIRKut0ggmzWO/qu0IzVbWo/OQJlwkr4xjrB/n7\naJ/R2B406f0AwB9/5l1TpnUDhJ0sJyuUEaBh2z9SFE0uNeGqaqSRb3LBGClWDSg/yknYaoXUrj0p\nz71BrpdmZxr53vb32eJineoWQzM5t3e98q9VsvIYRTttvIeRSBbgqG7WHcPb28iPuILO4jcHnF+5\nidrLsfsGnnLnfbROGqDQNrEvM1h2N5Wb3ega8JROG0AsTBq8GiPPDVcjH/Uzpr0qFz2i05ZbW861\nYNxv1iWUieBWlIjGvX51ztlKT9356TM1WFmnrTEKZZGZ90Hb6fur9MxeD7QwD5WUGOZKjPIu9DN/\nHdufWhzGX9MVo9/W+64MGpEx6HZdn1otdy8W5p2Rl8Ll/priUrPB2sCF5X9Xad5UyWzK1vFGPltc\nnDjz/HAa+shQSmftyxccO8Sw6sPa9CBExz5q2DaMMeCT8t0Vtu3j/NbDaJUGw5QUg4d6yPdSxLpc\nW6uCiDOzzs8rE4i8/OKnLEeUfsOIF9ggf+KN7tRGlzzs1HjhOumDXbXGvk/raw4ySIEqsCt9EWPF\nHLhoLCvHauiIDj33ezVKaNZuB4wY4bkDfvUsPmwvmxBosfjkKmUc+WNUJZF8EWuZyBcX1eBq0lqn\no9m/WaeDwk+W2eKiMlRsrKBc71auET9uUhhEmEYxbVbGNKzzXIm5yT3USlE++CtUyKCsoQVX7rja\nLtT+FmEQHUSuz15wjGZaVRs3NpyvPc/N89yqEqI2nUiazbYGs5d1mNN7EhQTh8/R8PEP56YqKpE6\nv4tRGvjWtgvG++dmFA6noY+MldZT9MVyBY5iltULBHjYlc+wY/YMk67O44lpxO8sk0WxS/2bWhua\nDvVUN6vMF7AoSvZuAuHkZ8pvL9e7oE47SJCxPOFYAz24rnURxFWePEqh+o2Q+9WteFMffQp8UBKw\naTUdCXlJAlA2P4/siC/q3O1qhSA3DnlooO2q17gJiosX9Vy2j9n8fBB/EJljYQepe2R21k0QfiLS\na/R7Wv1Ix1/cEQsLoNYMyu4G8muvdRr2viJXNj+vRUs0CCvsK3lu+n1kc3N+Iq+0XkSnvpaBquNt\nTE9ZoOz1a5m8NDfnkr/MxMWDgeu3TJ5AkMWrrKOY9igkhYWF6n40xFfiHbBqE5UVt15ZQXNzmlfg\nxtXrzy8tIRbHE9dSsXLFTXqF63PWWagvzrJcZaXdbqw05xkoG4h9uUhVIh2Bw2noR8GkmotgUW0W\n92g9+aagqnrTMU3YrczBnffcMf4gEZSaBFGyVNZu12QgxqFRjmDU9Zkrw6JFrf2WWpLOmHHutXc6\nwyxsiO1toN/AUoh0TEaC2YlANbjYyi99RTnmo6A8+1piF7uXdtxEGS0K5J6WW1uguVndlttz5dee\nqHZD4kqxp6yNSRYKr0XMIJU5jsas3NiotFparWDF6kS/otgAHJVU3pPi4sVqbJlR9vpKz7zznjvc\noslOslnuAodFiXJ13VE+89y7fmaqgKcc3mlXLChbiKXdRjZf+apFZoHyXLWGggnc74zyY8f073gc\n1O0T5UqUa2vVbqnBXafvKFHgtgGqRQSXrIbWxRZ8bYN+z1UcMyJslduJdFJ3J3O7nWLlSv2Z49Ld\nY3a1EcrNreB3qm1kXNbTzaMfMouN0h6xgzr43webmRpjXvbd+pPPTWLoBRO4bOJ2lBsbI2UgmuAM\n1FzterUJIKYXWiGsOAjbauHOn3p+kMSSdTouQGVP2W4jW5hX7fFGZKFbZCRNcdBv9r/bLboRyaod\nw2U9iaop09YYO3tPy5UrzncbxYyKb18I6JC1RUVEny23tgPfqyYNyfXzLAhuWuXJcn0dmsXpV+6t\nG64P6K12V2UZRS5Ll/RvNYhZjnP33OFWpYYDns3PaSBUdOVtprmk7VcDUUlF6E7Oc/cD/v7Cgvvt\n5ma4sxGXjVfVHEUptDIE+ncDbVYXIv74c/fc4eUhXFxD3CfB9eGMfdnt+gDyTE03X1CurfkEt5ng\nOsrRt/dVROGYUdUA9vfRLA6U4iz3DMPdqfqbkd8+ljGCPVAzGiNW6PVMzgl58fvNn99hIHbcjB5u\nm0m3w5aja9Ho446CaUObbnzcsrJUXXQbFPUrr0IKVluJAXNdd9JIR1ylCEh1W1QNEA0B5Th4P+SY\neOUoLoIgOClVl0xfpK+yldc2Rc9XU1lLsFOItNnJ3O9pUZS4//G90XOqkZ4Lnofi0iMAl8GEIG1u\nOifNzLqVuiwkRgj2iQ87+ExkCRYXkZ88qT7kcmPDGfsxAUSrr66xCf97as34iXR8RniT8CH5soVB\nDV+fK6DX77kAsUpP+7HTMpRmIncLB/8uxM+v3wE5aWYnkqbfC2uNq8CsSBcDCHfrFNa8tkXSy253\nIpHAQ2vo7Us9CsvnT49coccv3vL505M1wL94Ex+/C4w6d41lMjszui12DJixfO42FzS1yn4nrtFE\nDIVfcZ592Rm3evFxD6F72YdMXhhLK7QBOafSGPpPiQhnX/oc92+h0xn2h9XOlxd++fxpY6xmqiQc\nz1ZyDImqX8vnTzf79XuhQmHWbmP5rtvrY9cw6erK3feLB15vfN4ZF9l6xyqIyy99TnXvrCBWw6Rw\n5o6n15K2VD7B0h+ffqs797nbIEwbYfC4A9y4Wi2g5fOnlUWjFaO8753yzFcsyisXEJzfXYxM1uk4\n1svsLLKlJY1xAM4gL58/Dd7cdCqUV1Y9l96pZ8Z+6abnttxyGcPFykpt1718/rRb8co140WXBCv9\nKtueX9xBduVdbmyAjY4SZRTqITGHdsJcb/n86SBYHLiMyiIs2g7gzEue5U6xsGAMvB+LvNp58mBQ\ntTte5EghGM/yEXG8ztHhi71Da+jjF2gYlu+6feSKXh5AOUYHd0JNlkbDMAbj0pUnOXds6IuVK+Hx\n9uFv6MvZH3lu9bXf/hUPPxLU9QSgAaszP/y97k8RvgKqFbD4ezc2nDqidSnFK+miUNlVwK1Kls/d\nFgUfq+102eurQZIX3vazqsjj+eTeDWQN5PJdtwdVxgI/qe1qr4ezLzsTfGYnrXxpSVeCGtiU83gf\nrFv1lcEYWQO+fO626lzzVeWmstutEnT8eD73+beoNLDwvWtc/ZlZlF/6SjUufremujdZWBdXpB7O\n3r0cBsXN1l/KDipTKXbz+ElBMj6Lixdd9quRjli+6/aKBjkYOMXMhXkUq+suMG/0j86+/GxtzPOj\nSy4b2MsgqPTyTKu6n8x16Yl4t1AW1bgAza5a6bOH6unEE4iKwlXP9Nm7l6vr2t2qDy7H76k8uzKR\nOFdNGfDwkbkiLGfvXg7kLwDoDrzs9d39mZ11NFYAR44NZ64dWkNvtzxjEbkMgq+2tqqtmL2xu6VU\nTuJb34MKVUPZJU2+7Ia+cFlWK7BR/j2RjsizShIXldtDZWjHgah6mLO8CtIxa5Fu9asGcgST0ccA\n8Wdy6EKJZQyIhlak4qLQl9xS2mRMi9XVYCU4NFZTC/RaoT3n6pBVNxvjCSCoeCR/q59WumECztzv\nqSa+XttPLtmRI8GuA4BmWMbViLSilq8JLNcJXDpGNlnbIkJolI2Nn6AoHDvn+PGIkVK5NcQtWFy+\n7CY1/5zS7CzyY0drhtqqzurf0l5j9OPAdTwh2DiVcOZr7kmxEZ4VY+MkPOirT1+0c7J2G+wTvILr\n2bwKL60QMJmEsVOWoCMd516S2Ian5Mo7V25u6gQ7ytl7KDNjAVwE8OCExx4FUK9gfDDHnwRwaexR\nV6ct+z0uO+nrY+ke7Wc/97stqZ+P/vjD/I7e4n9Tw2E19AkJCQkJE+Lwum4SEhISEiZCMvQJCQkJ\nU47dV7JOmBhElAG4B8DbAPwAM3/JfPcGAEsAjgP4R2b+8MG0cm9BRG8B8ELz0duZ+Z8OpjV7DyK6\nA8DLAVwAwMz8WwfcpH0DEX0KgERlC2Z+8UG2Z69ARNcD+G0Az2Lm5/jPrgHwLgAPwPm838zMo4sI\nHwIkQ3918CwAnwYQUAaI6AyAFzHznUTUAvBlIvo4M+8kAPOYBTO/8KDbsB8gojaA9wF4GjNvE9Hf\nEtGLmflfDrpt+4SPMPNbDroR+4DnAfg7AM82n70DwD8z818T0V0Afg/Aqw+icXuJ5Lq5CmDm/2Lm\nzzV8dR7Aff6YAYAvA3jB1WzbfoKIfp2IXk9Ev+aN47TgLIAHmVk4gv8O4NwBtme/8Qx/D99CRFPT\nT2b+AIBYM+Mc/DuJKbqvaUW/RyCijwK4ruGr3xzhjjkFZ9wFq/6zQ4FRfQbwNwC+zsxdInoNgD8C\n8LNXs337iFMIDcShum+7wLuZ+TNElAP4BBGtMfMnDrpR+wR7b1cBHCeill+IHVokQ79HYOYf2sXP\nLgCwcotL/rNDgR30+WMA3rCfbbnKONT3badg5s/4/xdE9EkALwIwrYZe7u0K3H29fNiNPJBcNweN\nv4dzA4CIZgA8FVPyAhHR75o/bwHwtYNqyz7gPgA3EZHoNnw/3L2cOhDRrURkd2LTdi9j6DuJKbqv\naUV/FUBExwG8Fi5r7V4iej8zf4qZP0VE/0pE74Bj3byOmVcOtLF7hwER/SHcCukZAF5zwO3ZMzDz\nBhH9PID3ENFFAF+Y4kDsKoBzRPQEuBXuNwC8/2CbtDcgohfABVpvIKLfAPD7AN4M4N1E9BQANwN4\n/QE2cc+QMmMTEhISphzJdZOQkJAw5UiGPiEhIWHKkQx9QkJCwpQjGfqEhISEKUcy9AkJCQlTjmTo\nExIAENESEa0T0f4VAU5IOCAkQ5+Q4PATcAJX9x50QxIS9hopYSohweEWAL8M4L+J6HVwSV7vBfAf\nALYBvALAUwC8EsB3w5WbWwbwKgA/COD5AP4PwO3M/EoiWgLwBwC+CuA7AHyYmT9KRItwiTkPwOkE\nPcLMb7tqvUx4XCIZ+oTHPbxc9CeZ+QIRfQTAjzPznxLRhwC0mflXieh9AJ4I4BeZ+en+d6+A2xX/\nJIAPMvNfEtH3+dO+CcD9zPxOIloA8BUiuhku8/J+Zv4df46fuaqdTXhcIrluEhKAHwNwmy+Wsg3g\n58x3XwYAZv4CgFvhVuLwn33A1w74FQDPI6LPAngJERGAZwK4lYjeCOCXAHwRwDX+8/vNOf58H/uV\nkAAgregTHucgoqMAVpj5reazr5mgrNUI+SKAJ5vjfhROhO5pzHyPF6b7OIAPAfg8gG8x83v8sa8C\n8LD//Gb/GQG4l5n/ZL/6l5AAJK2bhMcxvPrkXwDoMfNP+89uBfBXqDTJLwN4JzN/1n9/L4DvgfPR\nZ8z8ViJ6uz92A8BNAH4BwByA3wHwTQCzAB5i5vcaH/2DAI4B+Adm/th+9zXh8Y1k6BMSEhKmHMlH\nn5CQkDDlSIY+ISEhYcqRDH1CQkLClCMZ+oSEhIQpRzL0CQkJCVOOZOgTEhISphzJ0CckJCRMOZKh\nT0hISJhy/D+6m2dB3eX0awAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,1)\n", + "\n", + "ys, xs = im_final_rot_sub.shape\n", + "extent = np.array([-xs/2,xs/2,-ys/2,ys/2])*obs.pix_scale\n", + "\n", + "ax.imshow(im_final_rot_sub, vmin=0, vmax=1, extent=extent)\n", + "ax.set_xlim([-14,14])\n", + "ax.set_ylim([-14,14])\n", + "ax.set_xlabel('Arcsec')\n", + "ax.set_ylabel('Arcsec')\n", + "ax.set_title('Fomalhaut - {}'.format(obs.filter))\n", + "\n", + "ax.tick_params(axis='both', color='white', which='both')\n", + "for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + "# Location of planet\n", + "loc = (np.array(obs.planets[0]['xyoff_pix'])+1) * obs.pix_scale\n", + "circle = matplotlib.patches.Circle(loc, 1.0, lw=1, edgecolor='red', facecolor='none')\n", + "ax.add_artist(circle);\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Extra" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "hdulist = ramp[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data = hdulist[1].data\n", + "header = hdulist[0].header" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Converting data from uint16 to float64\n" + ] + } + ], + "source": [ + "ref_obj = pynrc.ref_pixels.NRC_refs(data, header, DMS=True, do_all=True)\n", + "#ref_obj.calc_avg_amps()\n", + "#ref_obj.correct_amp_refs()\n", + "#ref_obj.calc_avg_cols()\n", + "#ref_obj.calc_col_smooth()\n", + "#ref_obj.correct_col_refs()" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Subtract superbias\n", + "data_corr = ref_obj.data\n", + "\n", + "from astropy.io import fits\n", + "caldir = pynrc.conf.PYNRC_PATH + 'sca_images/'\n", + "fbias = caldir + 'SUPER_BIAS_485.FITS'\n", + "hdulist = fits.open(fbias)\n", + "bias = hdulist[0].data\n", + "\n", + "for im in data_corr:\n", + " im -= bias" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "ng = data_corr.shape[0]\n", + "tvals = (np.arange(ng)+1) * obs.multiaccum_times['t_group']" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "data_corr = data_corr.reshape([ng,-1])\n", + "data_bias = data_corr.reshape([ng,-1])\n", + "\n", + "# Make saturation mask\n", + "sat_val = 0.8*data_corr.max()\n", + "sat_mask = data_bias > sat_val" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(4192676,)\n", + "(120,)\n", + "(118,)\n", + "(131,)\n", + "(163,)\n", + "(240,)\n", + "(277,)\n", + "(349,)\n", + "(207,)\n", + "(23,)\n" + ] + } + ], + "source": [ + "im_slope = np.zeros_like(data_corr[0]) - 10\n", + "for i in np.arange(1,ng)[::-1]:\n", + " ind = (im_slope==-10) & (~sat_mask[i])\n", + " im_slope[ind] = pynrc.fast_poly.jl_poly_fit(tvals, data_corr[:,ind])[1]\n", + " print(im_slope[ind].shape)\n", + "\n", + "# Special case of only first frame unsaturated\n", + "ind = (im_slope==-10) & (~sat_mask[0])\n", + "im_slope[ind] = data_corr[:,ind] / tvals[0]\n", + "print(im_slope[ind].shape)\n", + "\n", + "# If saturated on first frame, set to NaN\n", + "ind = sat_mask[0]\n", + "im_slope[ind] = np.nan\n", + "print(im_slope[ind].shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "im_slope = im_slope.reshape([ypix,xpix])" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data_corr = data_corr.reshape([ng,ypix,xpix])" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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OjlGLc8I3z6Rw65uTyMwvzeDvPkFdWUOf1CEIsIdHmGIBN1VE7R/hVmZpXsiQ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+8GLf6Xyrv4vWsPo/smWDH//JlP8UuvfITclxO0ZsWte/BoUkxKZxWpbYnW64waFG/2MfwY66hN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\nV+bwjgYYW0cPQUjGIMJodh5q4oPVKt7xEPOkQzKWR91aJ7myir3bIC1mH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/jBK2Tv1iX4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mH+2iM43aO0a1uqhmjaxepn87T/mfPiK6sYxGMbxdkdvHPMVpjxi8v0hScDCRwJvs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BekrSrBSgHvLz/DNGokG02IU5KCB9aKJDr8F+RfcUJSzctA1vWAeLNBVHBxf/gJ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\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yCjPw0YMxweYS0zs1nNCg210838VtDIiqRfR4yuBBjfi7Bm5zgBpN6P/CHby2z/DRMiqe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\nwxn72Dcn6FRKdvi12mroorbWCV8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B3m0LUyoKSzvpobT0naOrG3SjjtpalxACo9HPj1Dr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sMYPaOoBiTpRcvUmwNI0eBOhmDxfx0c02LhoRjvXmrniwh0eYYl4KarTQFHUq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y4fU8TMQRne/5ZdF2b+4S9j2sdFIUJvsHMsFv9DG2xk9Hsd+6O1YC9L/nIyS+dB8zM4m592jM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iYNMQd3s4rTHqNOLvBvrKI+lMHSlRLCKhbxb69LklZowLaEufPilfSqv3whaNtcWpQH9YU5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phJSG/Z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\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17EUix6f9A+FHvzxFFfIsPryNHWtUd4BZbsoifX6J7eQEzrVcJVwpkvoWVpCCUvhPz5nf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JQrvJgwgo1V4WUbg+oMMbUSxtJYnQH+WkXkZ/0hpiyyKz3xJWWq2SEuZSGZQOfzMJqgCwU59RhQ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p50zMFkUAMUd00f0hy/MfsVgvEnzlNupHj7BmilCewStnRDM9dkWnfXaJubPBuJQg9exCGsYD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\nnv/jv/sLHinwt/7u97dzH2Bub6C7IyjmRfMNRG+Pb6ptfA+9UsJt9JluFfD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OjlGLc8I3z6Rw65uTyMwvzeDvPkFdWUOf1CEIsIdHmGIBN1VE7R/hVmZpXsiQ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+8GLf6Xyrv4vWsPo/smWDH//JlP8UuvfITclxO0ZsWte/BoUkxKZxWpbYnW64waFG/2MfwY66hN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\nV+bwjgYYW0cPQUjGIMJodh5q4oPVKt7xEPOkQzKWR91aJ7myir3bIC1mH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/jBK2Tv1iX4\nYpt0V/KklmJYM3DamuJ9kXrKVxvsv69KasPMJ0W+G0y5wnivSu2b00s5edRk/K0Yq5dw/ITLqKSJ\n8ymqHFJ4xUcbUP6eXZ6obPPy0RIrxTquEfPr81/4qms20Smrv//3Kd8w+L9+4pf4gdf+LqO2h5mN\nmP63Dt0Zi9SF/HZCZn9E86zP+Au7tJ+awhqkxL5B4doxw5UxMjf2CVYnCMYssrtSMB1WPLQB3TmL\nwkaEFSREOQvvKKCzksXup7iNEKs1pP5EhWFNUVqLMQMBeEV5h9aqQ/nuiMQ18Q76pJ5FZzlD6WaH\ncMwn8QwGNQttgNdKxR/uGJRe22Nwbhz3aEh/MUf+TpPBUlGcIq0evUcmMYcJ7omUqHcuVshtDTD3\nG5LGTlJ0EBA/tsJwwiW7PaA/n6FwUzZe8fufxHn5Bmp+Bu3YaM+SZrJGjzSfkf5U25JyDPiqWj3z\nzJKsEcd12U0HgfQwRLGUtp8MJel9ynchSdHtjlio52pYhy1ItdiIhyO05xBNFDBeuoo1PUXnmTmM\nWOOejKRL9fSaVy9ffVhOHW8K1sHIZFC+h/J90mYLY7xKsiPFIEapKIlaz0V3enLanZvE2NiTco17\na/L3XRemx0lu3Sd572OSvv7MlzDPrvDynX/51zt5WjSr+rlLfx8Aoz8kLWZJHZP+XIbiqzunMK2E\naLKIfdwjKfoYQSRJtHz2NCjhEpU8jDjF2Tghmh3DOu6iPRs1ikXWmKli1k998cOA5nsXyRyGxFmT\nzMv3Bejz2FnMnWOi5UnQYHZHDOfyYIA5TLE7I8x6V3zlJ11hUG8fibtm45BoaRLr7jaqWBCfrGMT\nTVcwIrExmYctKazoyrE+msxjvXkfY6xMsnsgC9mLtx9SF1EKs1olXZyUne4wFGzApXNw0hTCYhBI\nCjdJ5N8djR4mYb9My8P35M9PE7oPk6xay5HwlMMxPDuOt9F82HmqclmRX06PmuloJEnBJCFamcJ+\nsC8S2cYWRiZD/PQ5wQi/9Dbq6UcYVVz8rbbsxgrZU+eQTeJZIpMZBtFkHmftGJ3zqT9dJXsQMahZ\neI1EXA+jFG+3SzCTx26NOH4yBxqq1wb0Z32yuwGJZxKM2RRvNKXLcyD7hzBvE+YN8htDwopDd9Yi\nyorDpPggIcoKEdHpaZpnDaKc5n/78O/yS3c+wIXqIcvZExpRlrwV8J2Fa7zPF3dTMxnw3jd+hJl/\nqLj7kdNATqjIr7Yo/ss8Qdkkux/RPOuQuAojFI3djCC30SfJ2pjDmKAqMfLsvQaj2SJoRBoqWFiD\nlMG4RX57hN0MOHh3ieJGJMd+Bd0Zk8k/OyCcLWOMEowoIRj3ybx8l6TVlmrDaw3CidzD4nTjc28J\n+tm3sLoh5mGL1nMzZA5CtCWF5f5bm5DPMpqv4F7bQE/XZKf9pRuYtRrp7DjaNVFv3YFHVmX33Atk\nOLh7JHLD8iK60xXJ7/YDgu96Eu+PXxNL88KcON3SlP6FCTKvrz1kOXX/5nOUPv0ARiPJiHzZnjwx\nLnTWfv8hr+jLqBGee1Qge9kMydy4uOQ8V24y+az0EU9NCryvWhAMcCKdrkarK1kST06Xzl6LNOPJ\n41rLjcO2GVyZx9sXgN9gtYr76bfhynlx+Tg2jJWk7Wmiit47FLtmGJGU86i7G+jzi6hRIpjsK6tY\nd3elienU768GwcON0pezNH/tk6c6TRksFsQT7buojV20bcqutCp2sf75mvBSolhcLbtHxHM1krsP\nwDTEcqXBvrFFsneIEUSoQYBKtAB/FqRVPd0XeSZtdyi9eSTx6IMBKpth9K2PYR7KEM96Zx3r7jZG\nt4/78ddx/+R1nC/ewri/LZ2PtzZIdvcxD1uobAb11h3SVlvQqLagB8KzU5CkMihd38PYOiI4O4l+\n4x0Akjv3sZpDmaobBjoK8f/0bfTyLPEpvMu8eFaCC8dtiFNZ1Gs1Ut+WhbmQRfm+gJdsG12rkJ6Z\nkzeKYZ72vXZOY8+21JHZDsr3vxKcSLX4haMY7/UH0pBkmCLR5LPCqOl0UOUiRj6HHgzFTx8mxIdH\nJPuH8uYq5DFefFvAX5kMiWtidyM4OJE34OGJ3JxevordDSUyPp4nNQ2SiRJp1iVzFBPmTRJH/N3+\nwVA8yb0BzvEQYxBhBjDxxTapa0ql3qyHu9Wk+OYhqWeReAb2QZfejMv+e0zKVxugwIg0hY2Iyu2I\nsKDJ7gQMq0ooijYs/esdivfhJC7w/PQGYWryan2R7ym/xT+ZeJv3+enDlOmTL/wYS5UGx88UsPoG\ns5/R+AcG7VaGQdWiP23QOO/iNTWl+zH5vZjsfkRQUtQfyXFyWUogBuMmo6Lga+OMSeOiixFrjFAz\nHDMJ84rUVIQVn+mP76GVIrvWwmlFTP3xFuFsGefWDlZrQPNCHrsfo4oFog88Sem67LTtxpDDb5vF\nubuPevwS1sYhVi8CrQnOTlD64i4Ygg9wWiPS2RqYJtpSRBfmicYywoq5fB7KBVSaEtQ8zOoYUcEl\nztpicFCK6PIC6Tc/TrA0BmNlVLODevIimc+8g7W0wJ/uvoW2TNLDY3R/iHcwkA3I6jJmdYzyaweC\nBRgfkxDiSUOyLb0+KpMR5lLGk9h+8fSGev0BLM2gi3kSVzjw+lR2TNe30e96jLRWkjT3jQdCfby7\nQXrjjrDS1zfRhoGzfkS8tkGSd8GxxVteLJDMVHFaI4azORgMydwRxpR53BZKqmUJgjhNxXp8mtrW\ntoW69UAK7790g/Sd2+gwwt6pP2xWGl2eI67liRbHMZo94q1deV8+88hfeh39hlvYAXI3jyTYMxzB\n1DjWSQ+VpCIBpCnZu3WhxVXzqDCS449vSUosSUmrZeym1Hipiytw9Y7wVID+BZlQ89yjpKMRcVVw\nAnEtj9kNJEnpOZijhGS8KBHp04WOUYhx+TzW5ISwIapSNmFUSpIiK+bQrk39v3kCffkM9n5LtPKN\nLeyjHsQxxta+pDHTBPewh3l2hXRjG2tuFhWnGPd30CcNzDNLmLNTcpScGJdAU6dPcmZGin135aak\n8lnM/QZJtSgI05kKWBYkiWjlwVfUri/rdGZJbpDptdvCgsllSYdD1GSNeHsHXSmicxlptjk+EZ3e\nslA7+1/5JYURaft0uH1ygrlzCka6eAZr+4Tho3OYxQJGnKJmJrGPe1jvrKPnJh6GzTiRYnDSVIZF\njQHuQZewJD2YmVsHFK4dk9uL8Lc7GM0eaueQpFaUQoeMTfn2AOOgzrBq01lwGFYNRvNldO4rvPbW\n41XMULP4H4ZsfG+VoOYS5k38jRbDMYvsjuLw2Sz+icYagtdMGJyfoPy3doi0yY+P/xlrv7XKxuEY\nP/pHH+G3umPcCIcP6ZDfcvYuN19fJPYVRqgYlk3y2yk6EBdK5WZMbj/Ba8Q43Yj+hInVC9EGxFnF\n2M0RjcdKmCNN5dVDuperuPURE6920aaiN21SWBvi11OGNfk+teeQe2OTo+fHMEYxyWQZZ69N8/3L\nEMWYkZaNgmMzKlt0zpfEqVXxqb3eQpfyGHvHdJ9dQA0jtGmQ2gZpOScOl1IB66AltXqzRbztNsYo\nRkViHTYGAaPZEihF9nO3wbawPvMlrF6I8dI1BnN57Hc2xcCQaLRrMXxkFqPVR0fiBvvg7JPQbGNU\nypI9uXpb0t97h+hRSP9cTWiLtoUejQieWSXtixGAYo7B+QnisRzJ0clXECGPnkHFKYMzZczXbxHP\nj6Nnp0jfc0Xk1NYQ46hJNC1tTtbcrHBlQKzUT1xE31sXdIbtCJb3FC2gm21JXe/Uybx8n2S2RrBS\nI7myiu5IqlzHMUnWJXn0DMZrNwgXqqTf9DjJvTWRm3wXZTty0n3sLPHmNvrdV0Br3NfvYW/XBbvd\nagvqAOC1P8eC/zo/vvGkGHtcP7/8EVQQEs1XUS+9LSnPw4aUPh/2Sa/ewrh8HpWmDBaL+J+5jlpZ\ngJOmtJ5/uTPUMkkebIgmbxkYbWFaaNsiufsA4/J54pKHESaYrYHAiJYWxBroOgLf6g1IZ8cJaz7+\nrQOZgj91Wfo531lDKUW6Mod5UEfnswTzJdyjPnHRx2oOGc7lBfDV6hCvzmIfSINSXPSw7u0xfHIR\npxFgru1BqYCKYpJKgf5SjtxaVzgwpiFadaPN4NFZ/FfuisxiWzAMGDw2h3fQxzhsoMsF0gebEsZS\nCrNSloEsSKDo6ARmJh92T6IUxqPnMY6aJLNildSuLRYzpQjHMuJX7wxR3T7hmSnsW1uCNV6YEWln\nZpJgJo9TH0rwqNklnBsjyVh4my3SnIvRG4kemvPQtklU8jCDBHu3wfBMDWsQYwzlJjRYyJJ7aR1q\nZRmumYrUsRjMeLjNWIo6Shb+cSil1/UEpxMR1BxytxoMlstEeZPEAf84xjsc0LpQwBppzCAlypmn\nljNFZ9Egc6Afhpzy2yGHT7ugICxo7K4iebSHdTXHhe+8y+EvrtD/SIv2WhkVKZ561x3u/+Y5+tMK\nqw/agsK6aNSDmkn1+pCwaGP3Y8x+RFgRucUaxkQZC7cpZcvaUJRe3xea4V6fqORhdUOSrE0wZpPY\nivKn7hGvzhJWHDJ3TkiqeYKqR2/GxAyg+toJqtWl++y86NRBijYVme0evaU8+bstBgsFsreOZAc5\nHNG/PIU9iHG2m8TVPKlvQaLpzXniCW/0GM1XsHoyNworHk5T2q1QiqSSJbUMkTRB+Pyn5RY6ih7i\nA4xsFjU1zuBsFW9/AJYhWYtRTDDhk7txRDhTxvj8W0Tf/hT+zf2v/P1nHhHbY9bDOGmTTFUEb9CR\nCkjVGzzE2xqeB+eXiXMO1tUHor3nMiT31qVco9vFKBXlZFAoiMy5OCHJ61IRlc9/pQfZdjBOi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mH+2iM43aO0a1uqhmjaxepn87T/mfPiK6sYxGMbxdkdvHPMVpjxi8v0hScDCRwJvs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BekrSrBSgHvLz/DNGokG02IU5KCB9aKJDr8F+RfcUJSzctA1vWAeLNBVHBxf/gJ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\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yCjPw0YMxweYS0zs1nNCg210838VtDIiqRfR4yuBBjfi7Bm5zgBpN6P/CHby2z/DRMiqe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\nwxn72Dcn6FRKdvi12mroorbWCV8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B3m0LUyoKSzvpobT0naOrG3SjjtpalxACo9HPj1Dr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/JP0pLy03zAPDIJCRyEhJKgBtZ0fmqHdE/czAsdgd/n2ErPTwg0lTuGKEIqB8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\n2CWpMj7zVJJGkM88laSKOdxRkjY4g12SKmOwS1J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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(sci_slope1 - ref_slope*scale1, vmin=0, vmax=0.01)" + ] + }, + { + "cell_type": "code", + "execution_count": 201, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "sci_slope1 = nrc_utils.pad_or_cut_to_size(im_star, (ypix,xpix)) + im_disk1\n", + "sci_slope2 = nrc_utils.pad_or_cut_to_size(im_star, (ypix,xpix)) + im_disk2\n", + "ref_slope = nrc_utils.pad_or_cut_to_size(im_ref, (ypix,xpix))\n", + "\n", + "sci_slope1 = sci_slope1[:,::-1]\n", + "sci_slope2 = sci_slope2[:,::-1]\n", + "ref_slope = ref_slope[:,::-1]\n", + "\n", + "sci_slope1 = nrc_utils.fshift(sci_slope1, delx, dely, pad=True)\n", + "sci_slope2 = nrc_utils.fshift(sci_slope2, delx, dely, pad=True)\n", + "ref_slope = nrc_utils.fshift(ref_slope, delx, dely, pad=True)\n", + "\n", + "scale1 = nrc_utils.scale_ref_image(sci_slope, ref_slope)" + ] + }, + { + "cell_type": "code", + "execution_count": 202, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "12554.548137817867" + ] + }, + "execution_count": 202, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ref_slope.max()" + ] + }, + { + "cell_type": "code", + "execution_count": 212, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 212, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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W5T0pMLbwRiNrojlXgs/lkPPrVZa129lD8xVl5N8eeSAsmYMUArF6M/P/Zzkb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\n6utOgnwBezBesTGzYhnuDi3NQ0MqIR5pY6XknL6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OUDYkOgPhqpikJKQxdG5CMB5ws+A84dDm1hPYBj95JQ4YaY8ot/yqQDR0pPcC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\nfH36EixrzNsSbW8AAtRcAaUHSg+9kOfuarlqMLviP/5H79zBl9/6KH7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cKBRTB92EjExF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VK5ZD+3Mcgm9Pj73VgXOZlv67mqbTN/knWeRh5/7oJq0NVwijzrkpZgFs4ixwRa8aGxUt4HCKLa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\nLr8P+MVyuQH+F/DsdZzjFdb26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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "extent = np.array([-1,1,-1,1])*1024*obs.pix_scale\n", + "plt.imshow(im_disk, vmax=0.01, extent=extent)\n", + "plt.xlim([-30,30])\n", + "plt.ylim([-30,30])" + ] + }, + { + "cell_type": "code", + "execution_count": 172, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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/tutRHjt0LSenD/DUzOIw7c+fOcd37XuEF06dYU90Fn5rVx8wQ9tPO4JyQuHg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\nPDRaOHEBS5IkSZK2K7sISpI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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "#cmask = nrc_utils.build_mask('A', pixscale=obs.pix_scale) + 999\n", + "cmask[1500:,0:260]=0\n", + "cmask[1500:,1900:]=0\n", + "cmask[1820:,:] = 0\n", + "\n", + "fig, ax = plt.subplots(1,1,figsize=(12,5))\n", + "ax.imshow(cmask)\n", + "\n", + "for xi in [275, 916, 1238]:\n", + " rect = patches.Rectangle((xi, 1502), 320, 320, alpha=0.2, color=cols[2], zorder=2)\n", + " ax.add_patch(rect)\n", + "circ = patches.Circle((1076,1673), 10, alpha=0.5, color=cols[1], zorder=2)\n", + "ax.add_patch(circ)\n", + "\n", + "\n", + "\n", + "#plt.xlim([1020,1029])\n", + "ax.set_ylim([1450,2048])\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 173, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(1502, 1822)" + ] + }, + "execution_count": 173, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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zr9tl+d9lZcO49VsvU9zfBB377lc5dvKr2UuNbjHH4nT8tqwdKrSAYE+N+vEN\n6ssRO4IGzTBkx1KT9eU6ESHNpmFRSLASUlsO20PAtVZC4jo0d0K0w2E5YsdSk521DXYEjTQoO0Er\nwPeEJcch49DoFrMtf+NsnFygWbY6/6S+xmrwVY6//CL+bOcrOHV2B81mSL0e8QOXPcfb9/8N1ywd\nZV+YBOTIe8dAl2qaq9Etbtn51T5LT0bvOMm2MOMkt8PqRMZJtpKysuUKgbgkcC/6OMl7Lvk+9vB9\nAHz7U49pdIsFY7tqBGxQw1myiGVrsRI2CWsxrciI6yGtFSMMgaATkqOlZJzkuA5ei6nVYlbCJsth\niyWLqOGEQGDguzQ81aRodIvZl/Ujzv/RuidYImKDV+/8JudetNQ1TvINu45wzdJRXhxuUGMV6H6i\nZtnQjlIdczW6xUvrF23TniMgan8VmVWA/DiIQPtRlcl079P5Irf2Y6azDv5ZAE+Cea39pL78U/qy\nR0xnwTv2oPNYas8H8iA3PyD25JHRWQjPQnlWnn+sdPYY6Vb6dL72I6azcJ4+LjqOA9w7Pz0N59lN\nQUAnuEP7KX7JG1byKOlsjOl8cC4J5QMfIZ177LSVLZubhkEhubAOI6xfDNIim+h393v2NS9AuKeO\n14zlOOKiYB3DuWRpmfXVOudrdc6zRFwLCVoQtNJ6YxDX0n87InbsbLBjqcklS+fYFa5zUbDOssXU\nY7AwILi43t5v2eOyRRZJkH80u8VEbqwGSyxbjR/ZcZTrlp/jXFyjQcASMXvDJvvCZWqsElrQflov\nJIFbT9ubDzMRks/E61PdfkDQ7n+X/fWXfcBDCzoXrvYaIcXPf75PXz5MJ/PSZ8ITE3uUPPI6Lc8C\ndZR++9/wNESnoTr/2GugE5JJfmbBuum1JIynwTr/COystTtOpyPP5nc/CjtKW7qT/QS04pCYJEBn\n5cWQDblgnT4au9MSTnvaIfdY7M4jsoFO2KYTsuN2YM49LjvXSt4VuNsBt9PtpBiihw7e+ZDc3pb1\nD8ztdQzlDBlWcRSJngcPhIZfXmfpmQZLqy0iC1gNGuysNQBotpIHhXiUDPNmnlaNuuOhU2t3s2iw\nGjTYYQ2WrEXNjNo58JfWsbD/RVz9kWWRZY+VDkkywO5ghbo1aAYRES1CjNVgmWXL/6GprhbzaCZC\n8nfi1lS3X/alSFI5rGt+mCbjIC0PsXaoLgvZ2UVvORj9a5fe0J39ldrsasWOcGL3dkt2MXxDp0U7\nmQ7aPztm9KccAAAZyklEQVRlYdLiTdLanLR+9wbxZNkkjCdltfb6cbu7SrpcGsqzVu9suVYcdK0T\nYzRzATwJ2p1W7s6/oB3YsyAeY+3ADrRbw/NBHSBKw3I+rHsavnunSYN5OgZAuyyZ3xPcu7qIKFjI\nYAHW02qb3Qkfp10hIB23+HtXsCMRF7Va1GpOq3YagHP1JVbCJqeXl2lFyfjJ7kZgyU16tTBi19IG\nlyydYzVosLd2mh3WYKdFLDUDgroRfO9ye/8x3vcCr9YwWRTta7ZFRO40c+OG1y3kIlvpWSf7FiZf\nf+oWqt7MkZkIyXuC6fadKwuZAI3CRaN9cfP+wbo9bda1zKCAnS0P3f2YsooWYGlrdrqHEetfWSt3\nMp21dEfdr7P3ok/47rxOf6YHFKXBNcrCa3s6OacGYWc67V6STSfbLA/jkXeCdT7Id/3MAne6fj6c\nlwXzLIzH2TEXXpcF9HyZF5bz9Oc0bM0o4bKd8l/xZt9c1VfqRNfuYOXvzhLuiiE4T60Ws+51Lgo2\nOF1foZU+aMTdMPNkFAyL2BWuszs8z4o12RVsULeYZYxw3bDrdsBy+gdk2gJWRn0qZRHVCAksCcnN\n3LWxWB+Kf1gm1/xAAXnOVC4kl41usWpLU91nbJ0Pe0xMZL2ts9AJz8XehHHhZ5BbNhOm2wpzFShI\ntxSmX9XnA3QyPxeiS8rylTG7sJbJz+v+c6M7dPeE6Xb34U551/uUC9OQtmqnZWWBuj2dhdIsXJeE\n6qxlO9l+p3U7pjDd1SKeBOv2dK7/d7addojGaMa19JisHbKzrihZl5Xu6c0D9qR8+wvP8I9faMdj\njW4xR4JsoGMrb73t6pu8b4n4JU3q32qwfFFEK2gQeoyTtBy30s+0Yxiejl4RszPYYGewwZK1kn7I\nQP0M2EuWYF994PFlF3sZnka3mC9Jw1SnS1RyPUuv1yUP3FFAnj3Djm5hF/zAhwl7zfUr/uVPXbHd\nhwF0QmP2dUpSVh4S+wVq6A3V+eUyw7RMF5ftCtyFgJ0sF5SsWx6yk+Umd2Esjrta1oKdLNddXha8\nk3ndy0ddZbnpPgG8PS/Xsp3vYtJZtzuIJ/vuhPEksAftVu5k/0E7SE/DXdd+7jF3f81UNj4Br75+\n2R/95OXbfRgzpex3CiRf1eZ/AuBO/OR5/FsbbOxwWjXYSG/ujUgeXZ2pWUTYHhEjpmbGUtMI1iF4\nyTK8fAUs++Yn+ao4/7Vy/hstXfDHc+OtR3jsbzcq++apvg6veH8R9D4oRHVle0wyr4QHnup7ja1c\nS3KVdN+wl7VAlox0UbxRL9+iilOnN+SFbB6e01GdutZrHxvQzFqnzdrDkHV38YjTslyL84AQ3fJo\nYIhOlh3ug1lcrrQFm877mWmHaevTgm25sr6BOukoXGz5L2vRTrZd3qrded0dqpN9drdok9ueyLiy\nr3XzrcmYEVyzg9aegKV/OE9tw7GViDB0YofYWu2W5IDkCX51nHoMtfMQhAb/dAX2L/UEZI2NLNJf\n5xqYuy5a2XyZVwrJIxpmpAvoboVOfg5uiYZOyEvm07V8Mp/S6WYhQHeqs3f96D7uXAtzSR/rYh/q\ndpln++jtT10sT14PDtrDhulhfheVPTWsXwt2snxJK0EasOOu9723v3pSTrs82d7mxygCnS4XMXHP\n17rJsCoBFIJy7UUrRHtq1I40qX17g3jdcZy47mSNyUFkBE0nMMOCAH/JEsEVy+0+yMk+em82ArUi\ni/Sj+rC4Ng3JZnYZcD9wvbu/Ni1bAu4GzgCvAk64+y+Y2VXAJ4Gj6eqPufvd6To3AHcBTwP7gXvc\nfbrDVmyj0jANXWGvHepsQJi23pvp8q+Tdehap739kuPqHvWis3xv+3AnYJfdNtkVjLtCeG8XkJ55\nPnzITsqGa9EuLRvwatDvvbLADcOF7u2mOjsbhgnKsUe5G3chXKnBy2tw1QrByRbxWovwZIQ1knV9\nxQguqcGuEC6uYbXOhzw/HnL/0SwUkLea6qtIdQ3TkvwG4GPADbmydwOfc/fPA5jZ9+Xm/bq7/25+\nA2ZmwEPAm939qJk9ALwD+NAFHPvMK7uhLrvxrNYOziExyY03ycUzWS7fEg1JeK6bdbV6drbZ3frZ\nr8PEKF+89us2Euevr+5d+4q7Lr5xO0Q3PR+uo56gXBai41w/ygvpFtJPv/WLoTsfpmvVyRaqszMi\nH5TzsqCcfd67ul9A8mHbWyfY230TXr+PYPdNub0BWTcebSvVV5GK2jQku/tHzexNheKfAL5lZj8A\nXAq8PzfvNjPbR3K34B+4+/8ArgZ2uHv21+8XgUOUVOBjJyJed8uzPcdxx6Hd3Hl7pW/yn4jykSgG\ntELTGYmi3ygUWG9LNPTeFJdfL6+sRTpbrxismyV9oztyX+12v0zKLB+Uu1cLCxfvnm4g+XkE3V1M\nxmipTtbbPGhP8uaBD37kFA8+tFY2a+8o29nqOnv8RFz6KN47Du3mjkO7Rzn0hdX1tK9Udkd99vmN\n3ck/5Ggz/Z4UWqQHh4znwYfWSuvr8ROj9fNWfRXZGuNcY8ftk3wV4O7+m2b2ZuCPgTcBx4BfcvfH\nzexFwKNm9v0kX/2czq2/lpb12HdpSFVGt6iygWEakmBcNj5yYVi3nn65mwTqZNmOYbp45BWHy+ta\nd2B3Be9uxU0XLV7gs1vo8sLcqBN9u4C018+FDy8PEKME7VH89KFd/PShXT3lSy/+xvEL3vgU6+ze\nSwN0t/z4um4Osu562TVtcXozb9D+JqXsczfMSDKZ/HBvakUeTb9QWRZAx3AVqq8iE3Xn7XtKG1vD\nA0/1vcaOG5LXgL9Kp78AvNHMQnc/CzwO4O7Pm9nzwPXAESB/9d8NvDDmvmVI5d05shEvQuL0Tnjo\n7goRlIwkERS6dkASnPOhs18Xj8ygrh7Z+mXaI3yUzMt3+ygu026Byx17UDiuuKeFujDfe0N0RO+Q\nWTMwRoDq7AwISvooZzpP5otzy5b/YTlMOM62kfxUQK4Y1VeRChg3JH+W5OudrwJXAl9398jMfhL4\nG3f//8ysDlwOfJPkoWHnzeyy9Ougm4BHLvjoZWSbPlgE+rdC0+m+Ab1jHGeirPtHTyvz4NbosGvZ\nzRWHy8sre6BLUX4Yvba+rcfdR5a/CbG9TLW/tladrbh8i3IWlKFPqzL0/LE2zI2jGt91Zqi+ilTA\nMKNb3AzcDhwws/uAB4B7gV9J76a9lqTvEyR/zd5nZl8BXg78ors/k27nEPAeM3uGJJ98eNInI5NT\nDNP5Fmig0AodE2bjSOdu1su3RCfrdrpxdFp+O63R+aVDNu8fPegGxM1apYvb6tqHF7p25JYtbZ3O\nrVcFqrOzrXgz3zABeJyALNWg+ipSXXrinkzUoCftJa/7P22vXV7StaNYnqxT3PfwNx0O2k7RdseJ\nK684qifuLaBR+hb3M+zTNmVy9MQ9kelb2CfunVyLeec9SVeqg2/dyW16rvxMGfxwkE5J5HHXkGl9\nw7QNF6aL28jm1dvzunU9RCFf3nO85abdB/kzn17ns5/ZyF5WeliXU2sx77r3GABve8sqB1VnJ6I7\nyHY/8WuYJ+UN82AfmYyHD5/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Zf96/BRrAb5A8GvdlwM97953ql6T//tRndMSD9Bf7XSSj\nevwn4FPM8Tmb2YuB3wL+huQv1jrw74CLmePzlskzs5uBnwRuBX6b5IaTHYz4OUrv7P7ZdJ3vocJ3\ndvc55xWS3yF3Ax8B/sDdH02Xn/lzhr7n/UWSb02zFuTT7n5buvxcnPc4+rxX3wP8CkmDxLXAb2Xf\n6M3De1V2zu5+3sz+BXC5u/9WYfmZP2fo+399K/Cvgb8DXgn8F3f/r+nyc3HekzBTIVlEREREZCvM\nVHcLEREREZGtoJAsIiIiIlKgkCwiIiIiUqCQLCIiIiJSoJAsIiIiIlKgkCwiIiIiUqCQLCIiIiJS\n8P8DrjMxYIvu/2sAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2, ax3) = plt.subplots(1,3,figsize=(12,5))\n", + "ax1.imshow(cmask)\n", + "ax2.imshow(cmask)\n", + "ax3.imshow(cmask)\n", + "\n", + "x0,y0 = 275, 1502\n", + "ax1.set_xlim([x0,x0+320])\n", + "ax1.set_ylim([y0,y0+320])\n", + "\n", + "x0,y0 = 916, 1502\n", + "ax2.set_xlim([x0,x0+320])\n", + "ax2.set_ylim([y0,y0+320])\n", + "\n", + "circ = patches.Circle((1076,1673), 20, alpha=0.5, color=cols[1], zorder=2)\n", + "ax2.add_patch(circ)\n", + "\n", + "\n", + "x0,y0 = 1578, 1502\n", + "ax3.set_xlim([x0,x0+320])\n", + "ax3.set_ylim([y0,y0+320])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(1502, 1822)" + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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0q66dpr4ITJMO6qAqyNPngQupbwjh8pPj405iiRaBFmvsC+nWzcszv6AW1756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\nQlpERCSn/j/z3GKhsHz/2wAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, (ax1, ax2) = plt.subplots(1,2,figsize=(8,4))\n", + "ax1.imshow(cmask)\n", + "ax2.imshow(cmask)\n", + "\n", + "x0,y0 = 275, 1502\n", + "ax1.set_xlim([x0,x0+320])\n", + "ax1.set_ylim([y0,y0+320])\n", + "\n", + "x0,y0 = 1578, 1502\n", + "ax2.set_xlim([x0,x0+320])\n", + "ax2.set_ylim([y0,y0+320])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/NRC_GTO_MDwarfs.ipynb b/notebooks/NRC_GTO_MDwarfs.ipynb new file mode 100644 index 00000000..5a11aa35 --- /dev/null +++ b/notebooks/NRC_GTO_MDwarfs.ipynb @@ -0,0 +1,882 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "\n", + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import S\n", + "from pynrc.obs_nircam import model_to_hdulist\n", + "pynrc.setup_logging('WARNING', verbose=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Observations Definitions\n", + "\n", + "Functions to create and optimize a series of observation objects stored as a dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def make_key(filter, pupil=None, mask=None):\n", + " \"\"\"Create identification key (string) based on filter, pupil, and mask\"\"\"\n", + " mask_key = 'none' if mask is None else mask\n", + " pupil_key = 'none' if pupil is None else pupil\n", + " key = '{}_{}_{}'.format(filter,mask_key,pupil_key)\n", + " return key" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def model_info(source, filt, dist):\n", + " \n", + " base_dir = '/Volumes/NIRData/Andras_models_v2/'\n", + " model_dir = base_dir + source + '/'\n", + " \n", + " # Match filters with model\n", + " filt_switch = {'F182M':'F210M', 'F210M':'F210M', 'F250M':'F250M',\n", + " 'F300M':'F300M', 'F335M':'F335M', 'F444W':'F444W'}\n", + " filt_model = filt_switch.get(filt, filt)\n", + " fname = source + '_' + filt_model +'sc.fits'\n", + "\n", + " bp = nrc_utils.read_filter(filt_model)\n", + " w0 = bp.avgwave() / 1e4\n", + "\n", + " # Model pixels are 4x oversampled\n", + " detscale = (nrc_utils.channel_select(bp))[0]\n", + " model_scale = detscale / 4.\n", + " \n", + " # File name, arcsec/pix, dist (pc), wavelength (um), flux units\n", + " args_model = (model_dir+fname, model_scale, dist, w0, 'Jy/pixel')\n", + "\n", + " return args_model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def obs_wfe(wfe_drift, filt_list, sp_sci, dist, sp_ref=None, disk_mod=True, fov_pix=None, verbose=False):\n", + " \"\"\"\n", + " For a given WFE drift and series of filters, create a list of \n", + " NIRCam observations. This function will calculate PSFs out to 320 pixels. \n", + " For the case of SW+MASK335R, we also assume that the subarray size matches \n", + " that of a simultaneous LW observation (320x320).\n", + " \"\"\"\n", + " if sp_ref is None:\n", + " sp_ref = sp_sci\n", + " \n", + " fov_pix_orig = fov_pix\n", + "\n", + " obs_dict = {}\n", + " for filt, mask, pupil in filt_list:\n", + " if verbose: print(filt, mask, pupil)\n", + "\n", + " # Disk Model\n", + " if disk_mod:\n", + " # Convert to photons/sec in specified filter\n", + " args_disk = model_info(sp_sci.name, filt, dist)\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt, pupil=pupil, mask=mask)\n", + " else:\n", + " hdu_disk = None\n", + " \n", + " # Create identification keys\n", + " key = make_key(filt, mask=mask, pupil=pupil)\n", + " \n", + " # Define the subarray readout size\n", + " # Set the PSF size and oversampling amount\n", + " fov_pix = subsize = 320 if fov_pix is None else fov_pix\n", + " oversample = 2\n", + "\n", + " # Initialize and store the observation\n", + " # A reference obseration is stored inside each parent obs_coronagraphy class.\n", + " obs_dict[key] = pynrc.obs_coronagraphy(sp_sci, sp_ref, dist, \n", + " disk_hdu=hdu_disk, wfe_drift=wfe_drift,\n", + " filter=filt, mask=mask, pupil=pupil, \n", + " oversample=oversample, fov_pix=fov_pix,\n", + " wind_mode='WINDOW', xpix=subsize, ypix=subsize,\n", + " verbose=verbose)\n", + " fov_pix = fov_pix_orig\n", + " \n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def obs_wfe(wfe_drift, filt_list, sp_sci, dist, sp_ref=None, fov_pix=None, verbose=False):\n", + " \"\"\"\n", + " For a given WFE drift and series of filters, create a list of \n", + " NIRCam observations. This function will calculate PSFs out to 320 pixels. \n", + " For the case of SW+MASK335R, we also assume that the subarray size matches \n", + " that of a simultaneous LW observation (320x320).\n", + " \"\"\"\n", + " if sp_ref is None:\n", + " sp_ref = sp_sci\n", + " \n", + " obs_dict = {}\n", + " for filt, mask, pupil in filt_list:\n", + " if verbose: print(filt, mask, pupil)\n", + "\n", + " # Disk Model\n", + " if disk_mod:\n", + " # Convert to photons/sec in specified filter\n", + " args_disk = model_info(sp_sci.name, filt, dist)\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt, pupil=pupil, mask=mask)\n", + " else:\n", + " hdu_disk = None\n", + " \n", + " # Create identification keys\n", + " key = make_key(filt, mask=mask, pupil=pupil)\n", + "\n", + " # Define the subarray readout size\n", + " # Set the PSF size and oversampling amount\n", + " fov_pix = subsize = 320\n", + " oversample = 2\n", + "\n", + " # Initialize and store the observation\n", + " # A reference obseration is stored inside each parent obs_coronagraphy class.\n", + " obs_dict[key] = pynrc.obs_coronagraphy(sp_sci, sp_ref, dist, \n", + " disk_hdu=hdu_disk, wfe_drift=wfe_drift,\n", + " filter=filt, mask=mask, pupil=pupil, \n", + " oversample=oversample, fov_pix=fov_pix,\n", + " wind_mode='WINDOW', xpix=subsize, ypix=subsize,\n", + " verbose=verbose)\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def obs_optimize(obs_dict, sp_opt=None, well_levels=None, tacq_max=1800, **kwargs):\n", + " \"\"\"\n", + " Perform ramp optimization on each science and reference observation\n", + " in a list of filter observations. Updates the detector MULTIACCUM\n", + " settings for each observation in the dictionary.\n", + " \n", + " snr_goal = 5\n", + " snr_frac = 0.02\n", + " tacq_max = 1400\n", + " tacq_frac = 0.01\n", + " nint_min = 15\n", + " ng_max = 10\n", + " \"\"\"\n", + "\n", + " # A very faint bg object on which to maximize S/N\n", + " # If sp_opt is not set, then default to a 20th magnitude flat source\n", + " if sp_opt is None:\n", + " bp_k = S.ObsBandpass('k')\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + "\n", + " \n", + " # Some observations may saturate, so define a list of maximum well level\n", + " # values that we will incrementally check until a ramp setting is found\n", + " # that meets the contraints.\n", + " if well_levels is None:\n", + " well_levels = [0.8, 1.5, 3.0, 5.0, 10.0, 20.0, 100.0, 150.0, 300.0, 500.0]\n", + " \n", + " filt_keys = obs_dict.keys()\n", + " filt_keys.sort()\n", + " print(['Pattern', 'NGRP', 'NINT', 't_int', 't_exp', 't_acq', 'SNR', 'Well', 'eff'])\n", + " for j, key in enumerate(filt_keys):\n", + " print('')\n", + " print(key)\n", + "\n", + " obs = obs_dict[key]\n", + " sp_sci, sp_ref = (obs.sp_sci, obs.sp_ref)\n", + " \n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + "\n", + " sci = obs\n", + " ref = sci.nrc_ref\n", + "\n", + " # Ramp optimization for both science and reference targets\n", + " for obs2, sp in zip([sci, ref], [sp_sci, sp_ref]):\n", + " i = nrow = 0\n", + " while nrow==0:\n", + " well_max = well_levels[i]\n", + " tbl = obs2.ramp_optimize(sp_opt, sp, well_frac_max=well_max, tacq_max=tacq_max, **kwargs)\n", + " nrow = len(tbl)\n", + " i+=1\n", + " \n", + " # Grab the highest ranked MULTIACCUM settings and update the detector readout\n", + " v1, v2, v3 = tbl['Pattern', 'NGRP', 'NINT'][0]\n", + " \n", + " vals = tbl[0].as_void()\n", + " strout = ', '.join(map(str, vals))\n", + " print(strout)\n", + "\n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + " if is_SW: v3 *= 2\n", + " \n", + " # Coronagraphic observations have two roll positions, so cut NINT by 2\n", + " if obs.mask is not None: v3 = int(v3/2) \n", + " obs2.update_detectors(read_mode=v1, ngroup=v2, nint=v3)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting contrasts and planet magnitudes\n", + "\n", + "Functions to plot simulated images and contrast curves" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def plot_contrasts(curves, wfe_list, ax=None, colors=None, return_ax=False):\n", + " \"\"\"Plot a series of contrast curves for corresponding WFE drifts.\"\"\"\n", + " if ax is None:\n", + " fig, ax = plt.subplots()\n", + " if colors is None:\n", + " lin_vals = np.linspace(0.2,0.7,len(wfe_list))\n", + " colors = plt.cm.Blues_r(lin_vals)[::-1]\n", + " for j, wfe_drift in enumerate(wfe_list):\n", + " rr, contrast, mag_sens = curves[j]\n", + " label=\"WFE Drift = {} nm\".format(wfe_list[j])\n", + " ax.plot(rr, mag_sens, label=label, color=colors[j], zorder=1, lw=2)\n", + " \n", + " if return_ax: return ax\n", + "\n", + "\n", + "def planet_mags(obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Determine series of exoplanet magnitudes for given observation.\"\"\"\n", + "\n", + " pmag = {}\n", + " for i,m in enumerate(mass_list):\n", + " flux_list = []\n", + " for j,av in enumerate(av_vals):\n", + " sp = obs.planet_spec(mass=m, age=age, Av=av, entropy=entropy, atmo='hy3s')\n", + " sp_obs = S.Observation(sp, obs.bandpass, binset=obs.bandpass.wave)\n", + " flux = sp_obs.effstim('vegamag')\n", + " flux_list.append(flux)\n", + " pmag[m] = tuple(flux_list)\n", + " \n", + " return pmag\n", + "\n", + " \n", + "def plot_planet_patches(ax, obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Plot exoplanet magnitudes in region corresponding to extinction values.\"\"\"\n", + " import matplotlib.patches as patches\n", + " \n", + " xlim = ax.get_xlim()\n", + " cols = plt.cm.tab10(np.linspace(0,1,10))\n", + " \n", + " dist = obs.distance\n", + " \n", + " pmag = planet_mags(obs, age, entropy, mass_list, av_vals)\n", + " for i,m in enumerate(mass_list):\n", + " pm_min, pm_max = pmag[m]\n", + " label = 'Mass = {} '.format(m) + '$M_{\\mathrm{Jup}}$'\n", + " rect = patches.Rectangle((xlim[0], pm_min), xlim[1], pm_max-pm_min, alpha=0.2,\n", + " color=cols[i], label=label, zorder=2)\n", + " ax.add_patch(rect)\n", + " ax.plot(xlim, [pm_min]*2, color=cols[i], lw=1, alpha=0.3)\n", + " ax.plot(xlim, [pm_max]*2, color=cols[i], lw=1, alpha=0.3)\n", + " \n", + "\n", + " entropy_switch = {13:'Hot', 8:'Cold'}\n", + " entropy_string = entropy_switch.get(entropy, lambda: \"Warm\")\n", + " ent_str = entropy_string + ' Start'\n", + " #ent_str = '{} Start'.format(entropy_string)\n", + "\n", + " av_str = '$A_V = [{:.0f},{:.0f}]$'.format(av_vals[0],av_vals[1])\n", + " age_str = 'Age = {:.0f} Myr; '.format(age)\n", + " dist_str = 'Dist = {:.1f} pc; '.format(dist) if dist is not None else ''\n", + " #dist_str=\"\"\n", + "\n", + " ax.set_title('{} -- {} ({}{}{})'.format(obs.filter,ent_str,age_str,dist_str,av_str))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from copy import deepcopy\n", + "\n", + "def plot_images(obs_dict, hdu_dict, filt_keys, wfe_drift, save_fig=False):\n", + " nfilt = len(filt_keys)\n", + " ext_name = ['Model', 'Sim Image (linear scale)', 'Sim Image ($r^2$ scale)']\n", + " nim = len(ext_name)\n", + "\n", + " fig, axes = plt.subplots(nim, nfilt, figsize=(14,7.5))\n", + " axes = axes.transpose()\n", + " for j, k in enumerate(filt_keys):\n", + " obs = obs_dict[k]\n", + " hdu_mod = obs.disk_hdulist\n", + " hdu_sim = hdu_dict[k]\n", + "\n", + " # Make r^2 scaled version of data\n", + " hdu_sim_r2 = deepcopy(hdu_sim)\n", + " data = hdu_sim_r2[0].data\n", + " header = hdu_sim_r2[0].header\n", + " rho = nrc_utils.dist_image(data, pixscale=header['PIXELSCL'])\n", + " data *= rho**2\n", + "\n", + " # Max value for model\n", + " data_mod = hdu_mod[0].data\n", + " header_mod = hdu_mod[0].header\n", + " rho_mod = nrc_utils.dist_image(data_mod, pixscale=header_mod['PIXELSCL'])\n", + " data_mod_r2 = data_mod*rho_mod**2\n", + " vmax = np.max(data_mod)\n", + " vmax2 = np.max(data_mod_r2)\n", + " \n", + " # Scale value for data\n", + " mask_good = data_mod>(0.1*vmax)\n", + " scl1 = np.median(hdu_sim[0].data[mask_good] / data_mod[mask_good])\n", + " \n", + " # Scale value for r^2 version\n", + " mask_good = data_mod_r2>(0.1*vmax2)\n", + " scl2 = np.median(hdu_sim_r2[0].data[mask_good] / data_mod_r2[mask_good])\n", + "\n", + " vmax_vals = [vmax,vmax*scl1,vmax2*scl2]\n", + " hdus = [hdu_mod, hdu_sim, hdu_sim_r2]\n", + " for i, ax in enumerate(axes[j]):\n", + " hdulist = hdus[i]\n", + " data = hdulist[0].data\n", + " header = hdulist[0].header\n", + "\n", + " pixscale = header['PIXELSCL']\n", + " rho = nrc_utils.dist_image(data, pixscale=pixscale)\n", + "\n", + " rad = data.shape[0] * pixscale / 2\n", + " extent = [-rad, rad, -rad, rad]\n", + "\n", + " ax.imshow(data, vmin=0, vmax=0.9*vmax_vals[i], extent=extent)\n", + "\n", + " ax.set_aspect('equal')\n", + " if j > 0: ax.set_yticklabels([])\n", + " if i < nim-1: ax.set_xticklabels([])\n", + " if i==nim-1: ax.set_xlabel('Arcsec')\n", + " if j==0: ax.set_ylabel(ext_name[i])\n", + "\n", + " if i==0: ax.set_title(obs.filter)\n", + "\n", + " if fov>2*rad:\n", + " xlim = [-rad,rad]\n", + " ylim = [-rad,rad]\n", + " else:\n", + " xlim = [-fov/2,fov/2]\n", + " ylim = [-fov/2,fov/2]\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + " ax.tick_params(axis='both', color='white', which='both')\n", + " for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + " \n", + " texp = obs_dict[filt_keys[-1]].multiaccum_times['t_exp']\n", + " texp = round(2*texp/100)*100\n", + " exp_text = \"t_exp = {:.0f} sec\".format(texp)\n", + " wfe_text = \"WFE Drift = {} nm\".format(wfe_drift)\n", + " fig.suptitle('{} ({}; {})'.format(name_sci, exp_text, wfe_text), fontsize=16);\n", + " fig.tight_layout()\n", + "\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.9, bottom=0.07 , left=0.05, right=0.97)\n", + " \n", + " fname = \"{}_images.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Functions to init, optimize, and plot" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Generate initial observations for each filter(no WFE drift)\n", + "def do_init(disk_mod=False, verbose=True):\n", + " wfe_drift = 0\n", + " obs_dict = obs_wfe(wfe_drift, args_list, sp_sci, dist_sci, sp_ref=sp_ref, \n", + " disk_mod=disk_mod, verbose=verbose)\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Optimize observations\n", + "def do_opt(tacq_max, **kwargs):\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + " obs_optimize(obs_dict, sp_opt=sp_opt, tacq_max=tacq_max, **kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# For each filter setting, generate a series of contrast curves at different WFE values\n", + "def do_contrast(wfe_list, filt_keys, nsig=5):\n", + " contrast_all = {}\n", + " for i, key in enumerate(filt_keys):\n", + " print(key)\n", + " obs = obs_dict[key]\n", + "\n", + " filt, mask, pupil = args_list[i]\n", + " roll_angle = 0 if mask is None else 10\n", + "\n", + " # Stores tuple of (Radial Distances, Contrast, and Sensitivity) for each WFE drift\n", + " curves = []\n", + " for wfe_drift in wfe_list:\n", + " obs.wfe_drift = wfe_drift\n", + " result = obs.calc_contrast(roll_angle=roll_angle, nsig=nsig)\n", + " curves.append(result)\n", + "\n", + " contrast_all[key] = curves\n", + " return contrast_all" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_plot_contrast(curves, wfe_list, nsig, age, dist, xlim=[0,10], ylim=[24,8], save_fig=False):\n", + "\n", + " fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + " entropy_vals = [13,8]\n", + "\n", + " for j, ax in enumerate(axes):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " plot_contrasts(curves, wfe_list, ax=ax)\n", + " plot_planet_patches(ax, obs_dict[key], age=age, entropy=entropy_vals[j], dist=dist)\n", + "\n", + " import matplotlib.patches as mpatches\n", + " for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.set_xlim([0,10])\n", + " ax.set_ylim(ylim)\n", + " ax.legend(ncol=2)\n", + "\n", + " fig.tight_layout()\n", + " \n", + " t_exp = obs_dict[filt_keys[-1]].multiaccum_times['t_exp']\n", + " t_exp = round(2*t_exp/100)*100\n", + " fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + " #fig.subplots_adjust(top=0.85)\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n", + "\n", + " fname = \"{}_contrast.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)\n", + " \n", + "def do_plot_contrast(obs, curves, wfe_list, nsig, age, xlim=[0,10], ylim=[24,8], save_fig=False):\n", + "\n", + " fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + " entropy_vals = [13,8]\n", + "\n", + " for j, ax in enumerate(axes):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " plot_contrasts(curves, wfe_list, ax=ax)\n", + " plot_planet_patches(ax, obs, age=age, entropy=entropy_vals[j])\n", + "\n", + " for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " ax.legend(ncol=2)\n", + "\n", + " fig.tight_layout()\n", + " \n", + " t_exp = obs.multiaccum_times['t_exp']\n", + " t_exp = round(2*t_exp/100)*100\n", + " fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + " #fig.subplots_adjust(top=0.85)\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n", + "\n", + " fname = \"{}_contrast.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_gen_hdus(obs_dict, wfe_drift, **kwargs):\n", + " \n", + " hdulist_dict = {}\n", + " for key in filt_keys:\n", + " obs = obs_dict[key]\n", + " obs.wfe_drift = wfe_drift\n", + " hdulist = obs.gen_roll_image(PA1=0, PA2=10, **kwargs)\n", + " \n", + " hdulist_dict[key] = hdulist\n", + " \n", + " return hdulist_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define Source and their Reference Counterparts" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Argument list:(Name, dist, sptype, age, kmag)\n", + "args_sources = [('AUMic', 9.9, 'M1V', 24, 4.53),\n", + " ('HIP17695', 16.1, 'M3V', 150, 6.93),\n", + " ('G7-34', 13.6, 'M4V', 150, 8.18),\n", + " ('TYC5899', 16.3, 'M3V', 130, 6.89),\n", + " ('2MJ0944-1220', 12.0, 'M5V', 50, 7.60),\n", + " ('APCol', 8.4, 'M5V', 50, 6.87),\n", + " ('FomalhautC', 7.6, 'M4V', 440, 7.21),\n", + " ('2MJ2351+2344', 16.0, 'M4V', 24, 8.83),\n", + " ('LP944-20', 6.4, 'M9V', 200, 9.55),\n", + " ('2MJ0443+0002', 14.9, 'M9V', 24, 11.22)]\n", + "\n", + "ref_sources = [('AUMic_ref', 'M3V', 6.9),\n", + " ('HIP17695_ref', 'M4V', 8.2),\n", + " ('G7-34_ref', 'M3V', 6.9),\n", + " ('TYC5899_ref', 'M5V', 7.6),\n", + " ('2MJ0944-1220_ref', 'M3V', 6.9),\n", + " ('APCol_ref', 'M4V', 8.8),\n", + " ('FomalhautC_ref', 'M5V', 7.8),\n", + " ('2MJ2351+2344_ref', 'M5V', 7.2),\n", + " ('LP944-20_ref', 'M9V', 11.0),\n", + " ('2MJ0443+0002_ref', 'M9V', 9.6)]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# List of filters\n", + "args_list = [('F322W2', 'MASK335R', 'CIRCLYOT'),\n", + " ('F356W', 'MASK335R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK335R', 'CIRCLYOT'),\n", + " ('F322W2', 'MASK430R', 'CIRCLYOT'),\n", + " ('F356W', 'MASK430R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK430R', 'CIRCLYOT')]\n", + "\n", + "args_list = [('F356W', 'MASK430R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK430R', 'CIRCLYOT')]\n", + "\n", + "filt_keys = []\n", + "for filt,mask,pupil in args_list:\n", + " filt_keys.append(make_key(filt, mask=mask, pupil=pupil)) " + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# K-Band Filter\n", + "bp_k = S.ObsBandpass('k')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "outdir = '/Volumes/NIRData/'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## AU Mic" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "i=0\n", + "\n", + "name_sci, dist_sci, spt_sci, age, kmag_sci = args_sources[i]\n", + "name_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [], + "source": [ + "obs_dict = do_init(verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "for k in filt_keys:\n", + " obs = obs_dict[k]\n", + " obs.wfe_drift = 5" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "obs1 = obs_dict[filt_keys[0]]\n", + "obs2 = obs_dict[filt_keys[1]]\n", + "\n", + "obs1.update_detectors(read_mode='MEDIUM8', ngroup=10, nint=8)\n", + "obs1.nrc_ref.update_detectors(read_mode='MEDIUM8', ngroup=10, nint=30)\n", + "\n", + "\n", + "obs2.update_detectors(read_mode='MEDIUM8', ngroup=10, nint=17)\n", + "obs2.nrc_ref.update_detectors(read_mode='MEDIUM8', ngroup=10, nint=50)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F356W_MASK430R_CIRCLYOT\n", + "F444W_MASK430R_CIRCLYOT\n" + ] + } + ], + "source": [ + "# Full frame slope images\n", + "wfe_list = [0,5,10,20][::-1]\n", + "nsig = 5\n", + "curves_dict = do_contrast(wfe_list, filt_keys, nsig=nsig)\n", + "\n", + "curves1 = curves_dict[filt_keys[0]]\n", + "curves2 = curves_dict[filt_keys[1]]" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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UgwcPJiYmBoDIyEiWLVvG1atXCQsL4/7772fDhg1cv36dsLAwJk6cSNOmTW1l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rl5XzgLGTFZUBenPumwoDrKH65uYlHtkZ6SfdkS2/ZnKHjhstfauM2yhhgNSUfiphDijDZdM49v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\nlmlQk4rQWhdnRWsVl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JDUWn9pBoc0Vz0E1CulTK21T3j19dkZHtNctADoH/WG3gksmsHx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\ngiQAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "xlim=[0,10]\n", + "ylim=[24,8]\n", + "\n", + "fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + "ax1, ax2 = axes\n", + "entropy_vals = [13,8]\n", + "\n", + "for j, ax in enumerate(axes):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + "plot_contrasts(curves1, wfe_list, ax=ax1)\n", + "plot_contrasts(curves2, wfe_list, ax=ax2)\n", + "plot_planet_patches(ax1, obs1, age=age, entropy=8, av_vals=[0,10])\n", + "plot_planet_patches(ax2, obs2, age=age, entropy=8, av_vals=[0,10])\n", + "\n", + "for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.legend(ncol=2)\n", + " \n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + "fig.tight_layout()\n", + "\n", + "#t_exp = obs.multiaccum_times['t_exp']\n", + "#t_exp = round(2*t_exp/100)*100\n", + "#fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + "fig.suptitle(name_sci, fontsize=16);\n", + "#fig.subplots_adjust(top=0.85)\n", + "fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/NRC_GTO_Vega.ipynb b/notebooks/NRC_GTO_Vega.ipynb new file mode 100644 index 00000000..a29264d3 --- /dev/null +++ b/notebooks/NRC_GTO_Vega.ipynb @@ -0,0 +1,1483 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "\n", + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages\n", + "import matplotlib.patches as patches" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import S\n", + "from pynrc.obs_nircam import model_to_hdulist\n", + "pynrc.setup_logging('WARNING', verbose=False)\n", + "\n", + "from astropy.io import fits\n", + "from astropy.io import ascii\n", + "from copy import deepcopy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Observations Definitions\n", + "\n", + "Functions to create at optimize a series of observation objects stored as a dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def make_key(filter, pupil=None, mask=None):\n", + " \"\"\"Create identification key (string) based on filter, pupil, and mask\"\"\"\n", + " mask_key = 'none' if mask is None else mask\n", + " pupil_key = 'none' if pupil is None else pupil\n", + " key = '{}_{}_{}'.format(filter,mask_key,pupil_key)\n", + " return key" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def model_info(source, filt, dist):\n", + " \n", + " base_dir = '/Volumes/NIRData/Andras_models_v2/'\n", + " model_dir = base_dir + source + '/'\n", + " \n", + " # Match filters with model\n", + " filt_switch = {'F182M':'F210M', 'F210M':'F210M', 'F250M':'F250M',\n", + " 'F300M':'F300M', 'F335M':'F335M', 'F444W':'F444W'}\n", + " filt_model = filt_switch.get(filt, filt)\n", + " fname = source + '_' + filt_model +'final.fits'\n", + "\n", + " bp = nrc_utils.read_filter(filt_model)\n", + " w0 = bp.avgwave() / 1e4\n", + "\n", + " # Model pixels are 4x oversampled\n", + " detscale = (nrc_utils.channel_select(bp))[0]\n", + " model_scale = detscale\n", + " \n", + " # File name, arcsec/pix, dist (pc), wavelength (um), flux units\n", + " args_model = (model_dir+fname, model_scale, dist, w0, 'Jy/pixel')\n", + "\n", + " return args_model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def obs_wfe(wfe_drift, filt_list, sp_sci, dist, sp_ref=None, disk_mod=True, fov_pix=None, verbose=False):\n", + " \"\"\"\n", + " For a given WFE drift and series of filters, create a list of \n", + " NIRCam observations. This function will calculate PSFs out to 320 pixels. \n", + " For the case of SW+MASK335R, we also assume that the subarray size matches \n", + " that of a simultaneous LW observation (320x320).\n", + " \"\"\"\n", + " if sp_ref is None:\n", + " sp_ref = sp_sci\n", + " \n", + " fov_pix_orig = fov_pix\n", + " \n", + " obs_dict = {}\n", + " for filt, mask, pupil in filt_list:\n", + " if verbose: print(filt, mask, pupil)\n", + "\n", + " # Disk Model\n", + " if disk_mod:\n", + " # Convert to photons/sec in specified filter\n", + " args_disk = model_info(sp_sci.name, filt, dist)\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt, pupil=pupil, mask=mask)\n", + " else:\n", + " hdu_disk = None\n", + " \n", + " # Create identification keys\n", + " key = make_key(filt, mask=mask, pupil=pupil)\n", + "\n", + " # Set the PSF size and oversampling amount\n", + " fov_pix = 320 if fov_pix is None else fov_pix\n", + " oversample = 2\n", + "\n", + " # Initialize and store the observation\n", + " # A reference obseration is stored inside each parent obs_coronagraphy class.\n", + " obs_dict[key] = pynrc.obs_coronagraphy(sp_sci, sp_ref, dist, wind_mode='FULL',\n", + " disk_hdu=hdu_disk, wfe_drift=wfe_drift,\n", + " filter=filt, mask=mask, pupil=pupil, \n", + " oversample=oversample, fov_pix=fov_pix,\n", + " verbose=verbose)\n", + " fov_pix = fov_pix_orig\n", + "\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def obs_optimize(obs_dict, sp_opt=None, well_levels=None, tacq_max=1800, **kwargs):\n", + " \"\"\"\n", + " Perform ramp optimization on each science and reference observation\n", + " in a list of filter observations. Updates the detector MULTIACCUM\n", + " settings for each observation in the dictionary.\n", + " \n", + " snr_goal = 5\n", + " snr_frac = 0.02\n", + " tacq_max = 1400\n", + " tacq_frac = 0.01\n", + " nint_min = 15\n", + " ng_max = 10\n", + " patterns = None\n", + " \"\"\"\n", + "\n", + " # A very faint bg object on which to maximize S/N\n", + " # If sp_opt is not set, then default to a 20th magnitude flat source\n", + " if sp_opt is None:\n", + " bp_k = S.ObsBandpass('k')\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + "\n", + " \n", + " # Some observations may saturate, so define a list of maximum well level\n", + " # values that we will incrementally check until a ramp setting is found\n", + " # that meets the contraints.\n", + " if well_levels is None:\n", + " well_levels = [0.8, 1.5, 3.0, 5.0, 10.0, 20.0, 100.0, 150.0, 300.0, 500.0]\n", + " \n", + " filt_keys = obs_dict.keys()\n", + " filt_keys.sort()\n", + " print(['Pattern', 'NGRP', 'NINT', 't_int', 't_exp', 't_acq', 'SNR', 'Well', 'eff'])\n", + " for j, key in enumerate(filt_keys):\n", + " print('')\n", + " print(key)\n", + "\n", + " obs = obs_dict[key]\n", + " sp_sci, sp_ref = (obs.sp_sci, obs.sp_ref)\n", + " \n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + "\n", + " sci = obs\n", + " ref = sci.nrc_ref\n", + "\n", + " # Ramp optimization for both science and reference targets\n", + " for obs2, sp in zip([sci, ref], [sp_sci, sp_ref]):\n", + " i = nrow = 0\n", + " while nrow==0:\n", + " well_max = well_levels[i]\n", + " tbl = obs2.ramp_optimize(sp_opt, sp, well_frac_max=well_max, tacq_max=tacq_max, **kwargs)\n", + " nrow = len(tbl)\n", + " i+=1\n", + " \n", + " # Grab the highest ranked MULTIACCUM settings and update the detector readout\n", + " v1, v2, v3 = tbl['Pattern', 'NGRP', 'NINT'][0]\n", + " \n", + " vals = tbl[0].as_void()\n", + " strout = ', '.join(map(str, vals))\n", + " print(strout)\n", + "\n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " # Only for Debris Disk program\n", + " #is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + " #if is_SW: v3 *= 2\n", + " \n", + " # Coronagraphic observations have two roll positions, so cut NINT by 2\n", + " if obs.mask is not None: v3 = int(v3/2) \n", + " obs2.update_detectors(read_mode=v1, ngroup=v2, nint=v3)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting contrasts and planet magnitudes\n", + "\n", + "Functions to plot simulated images and contrast curves" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def plot_contrasts(curves, wfe_list, ax=None, colors=None, return_ax=False):\n", + " \"\"\"Plot a series of contrast curves for corresponding WFE drifts.\"\"\"\n", + " if ax is None:\n", + " fig, ax = plt.subplots()\n", + " if colors is None:\n", + " lin_vals = np.linspace(0.2,0.7,len(wfe_list))\n", + " colors = plt.cm.Blues_r(lin_vals)[::-1]\n", + " for j, wfe_drift in enumerate(wfe_list):\n", + " rr, contrast, mag_sens = curves[j]\n", + " label=\"WFE Drift = {} nm\".format(wfe_list[j])\n", + " ax.plot(rr, mag_sens, label=label, color=colors[j], zorder=1, lw=2)\n", + " \n", + " if return_ax: return ax\n", + "\n", + "\n", + "def planet_mags(obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Determine series of exoplanet magnitudes for given observation.\"\"\"\n", + "\n", + " pmag = {}\n", + " for i,m in enumerate(mass_list):\n", + " flux_list = []\n", + " for j,av in enumerate(av_vals):\n", + " sp = obs.planet_spec(mass=m, age=age, Av=av, entropy=entropy, atmo='hy3s')\n", + " sp_obs = S.Observation(sp, obs.bandpass, binset=obs.bandpass.wave)\n", + " flux = sp_obs.effstim('vegamag')\n", + " flux_list.append(flux)\n", + " pmag[m] = tuple(flux_list)\n", + " \n", + " return pmag\n", + "\n", + " \n", + "def plot_planet_patches(ax, obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Plot exoplanet magnitudes in region corresponding to extinction values.\"\"\"\n", + " \n", + " xlim = ax.get_xlim()\n", + " cols = plt.cm.tab10(np.linspace(0,1,10))\n", + " \n", + " dist = obs.distance\n", + " \n", + " pmag = planet_mags(obs, age, entropy, mass_list, av_vals)\n", + " for i,m in enumerate(mass_list):\n", + " pm_min, pm_max = pmag[m]\n", + " label = 'Mass = {} '.format(m) + '$M_{\\mathrm{Jup}}$'\n", + " rect = patches.Rectangle((xlim[0], pm_min), xlim[1], pm_max-pm_min, alpha=0.2,\n", + " color=cols[i], label=label, zorder=2)\n", + " ax.add_patch(rect)\n", + " ax.plot(xlim, [pm_min]*2, color=cols[i], lw=1, alpha=0.3)\n", + " ax.plot(xlim, [pm_max]*2, color=cols[i], lw=1, alpha=0.3)\n", + " \n", + "\n", + " entropy_switch = {13:'Hot', 8:'Cold'}\n", + " entropy_string = entropy_switch.get(entropy, lambda: \"Warm\")\n", + " ent_str = entropy_string + ' Start'\n", + " #ent_str = '{} Start'.format(entropy_string)\n", + "\n", + " av_str = '$A_V = [{:.0f},{:.0f}]$'.format(av_vals[0],av_vals[1])\n", + " age_str = 'Age = {:.0f} Myr; '.format(age)\n", + " dist_str = 'Dist = {:.1f} pc; '.format(dist) if dist is not None else ''\n", + " #dist_str=\"\"\n", + "\n", + " ax.set_title('{} -- {} ({}{}{})'.format(obs.filter,ent_str,age_str,dist_str,av_str))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Functions to init, optimize, and plot" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Generate initial observations for each filter(no WFE drift)\n", + "def do_init(disk_mod=True, fov_pix=1024, verbose=True):\n", + " wfe_drift = 0\n", + " obs_dict = obs_wfe(wfe_drift, args_list, sp_sci, dist_sci, sp_ref=sp_ref, \n", + " disk_mod=disk_mod, fov_pix=fov_pix, verbose=verbose)\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Optimize observations\n", + "def do_opt(tacq_max, **kwargs):\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + " obs_optimize(obs_dict, sp_opt=sp_opt, tacq_max=tacq_max, **kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# For each filter setting, generate a series of contrast curves at different WFE values\n", + "def do_contrast(wfe_list, filt_keys, nsig=5, roll_angle=None):\n", + " contrast_all = {}\n", + " for i, key in enumerate(filt_keys):\n", + " print(key)\n", + " obs = obs_dict[key]\n", + "\n", + " filt, mask, pupil = args_list[i]\n", + " if roll_angle is None:\n", + " roll_angle = 0 if mask is None else 10\n", + "\n", + " # Stores tuple of (Radial Distances, Contrast, and Sensitivity) for each WFE drift\n", + " curves = []\n", + " for wfe_drift in wfe_list:\n", + " obs.wfe_drift = wfe_drift\n", + " result = obs.calc_contrast(roll_angle=roll_angle, nsig=nsig)\n", + " curves.append(result)\n", + "\n", + " contrast_all[key] = curves\n", + " return contrast_all" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_plot_contrast(obs, curves, wfe_list, nsig, age, xlim=[0,10], ylim=[24,8], save_fig=False):\n", + "\n", + " fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + " entropy_vals = [13,8]\n", + "\n", + " for j, ax in enumerate(axes.flatten()):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " plot_contrasts(curves, wfe_list, ax=ax)\n", + " plot_planet_patches(ax, obs, age=age, entropy=entropy_vals[j])\n", + "\n", + " for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " ax.legend(ncol=2)\n", + "\n", + " fig.tight_layout()\n", + " \n", + " t_exp = obs.multiaccum_times['t_exp']\n", + " t_exp = round(2*t_exp/100)*100\n", + " fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + " #fig.subplots_adjust(top=0.85)\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n", + "\n", + " fname = \"{}_contrast.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Define Sources and their Reference Counterparts" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# source, dist, age, sptype, kmag\n", + "args_sources = [('Vega', 7.7, 455, 'A0V', 0.13),\n", + " ('Fomalhaut', 7.7, 450, 'A4V', 1.05),\n", + " ('Eps Eri', 3.2, 500, 'K2V', 1.67)]\n", + "\n", + "# Corresponding reference stars\n", + "ref_sources = [('Deneb', 'A2I', 0.88),\n", + " ('c02 Aqr', 'K1III', 0.94),\n", + " ('HR1050', 'K2III', 3.25)]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# List of filters\n", + "args_list = [('F356W', 'MASK430R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK430R', 'CIRCLYOT')]\n", + "\n", + "filt_keys = []\n", + "for filt,mask,pupil in args_list:\n", + " filt_keys.append(make_key(filt, mask=mask, pupil=pupil)) " + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# K-Band Filter\n", + "# 2MASS Bandpass\n", + "tbl = ascii.read(\"2mass_ks.txt\", names=['Wave', 'Throughput'])\n", + "bp_k = S.ArrayBandpass(tbl['Wave']*1E4, tbl['Throughput'], name='Ks')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "outdir = '/Volumes/NIRData/'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Vega" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "i=0\n", + "\n", + "name_sci, dist_sci, age, spt_sci, kmag_sci = args_sources[i]\n", + "name_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F356W MASK430R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n", + "F444W MASK430R CIRCLYOT\n", + "Generating list of PSFs...\n", + "Creating NIRCam reference class...\n", + "Finished.\n" + ] + } + ], + "source": [ + "obs_dict = do_init(disk_mod=False, fov_pix=1024, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "obs1 = obs_dict[filt_keys[0]] # F356W\n", + "obs2 = obs_dict[filt_keys[1]] # F444W" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Readout Patterns" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "BRIGHT1\n", + "RAPID\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 9 5 96.63 483.15 536.84 42.1 29.694 1.815\n", + "RAPID 9 6 96.63 579.79 644.21 46.1 29.694 1.815\n", + "RAPID 8 5 85.89 429.47 483.16 36.6 26.395 1.667\n", + "BRIGHT1 5 5 96.63 483.15 536.84 37.2 29.694 1.605\n", + "BRIGHT1 5 6 96.63 579.79 644.21 40.8 29.694 1.605\n", + "BRIGHT1 4 6 75.16 450.94 515.37 30.4 23.096 1.339\n", + "\n", + "BRIGHT1\n", + "RAPID\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "RAPID 10 5 107.37 536.84 590.53 47.3 16.634 1.947\n", + "RAPID 10 6 107.37 644.21 708.63 51.8 16.634 1.947\n", + "BRIGHT1 6 5 118.10 590.52 644.21 46.5 18.298 1.832\n", + "RAPID 9 5 96.63 483.15 536.84 42.1 14.971 1.815\n", + "RAPID 8 5 85.89 429.47 483.16 36.6 13.307 1.667\n", + "BRIGHT1 5 5 96.63 483.15 536.84 37.2 14.971 1.605\n", + "BRIGHT1 4 6 75.16 450.94 515.37 30.4 11.644 1.339\n", + "\n" + ] + } + ], + "source": [ + "# Optimize F356W\n", + "\n", + "# Spectrum to optimize (some very faint flat guy)\n", + "sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + "\n", + "# Vega/Denev are going to be the brightest sources, limited by saturaiton level\n", + "# Because of strong saturation, ignore those patterns with coadding (only RAPID and BRIGHT1)\n", + "# Look at both science and reference source since they need to be same readout\n", + "kwargs = {'tacq_max': 600, 'well_frac_max': 30, 'nint_min': 5}\n", + "for sp in [sp_sci, sp_ref]:\n", + " _ = obs1.ramp_optimize(sp_opt, sp, patterns=['RAPID','BRIGHT1'], verbose=True, **kwargs)\n", + " print('')" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "BRIGHT1\n", + "RAPID\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "BRIGHT1 9 5 182.53 912.63 966.31 70.2 26.993 2.259\n", + "BRIGHT1 9 6 182.53 1095.15 1159.58 77.0 26.993 2.259\n", + "BRIGHT1 8 5 161.05 805.26 858.95 62.7 23.818 2.139\n", + "BRIGHT1 7 5 139.58 697.89 751.58 54.7 20.642 1.993\n", + "RAPID 10 7 107.37 751.57 826.74 55.2 15.878 1.921\n", + "RAPID 10 8 107.37 858.94 944.84 59.1 15.878 1.921\n", + "RAPID 10 9 107.37 966.31 1062.95 62.6 15.878 1.921\n", + "\n", + "BRIGHT1\n", + "RAPID\n", + " Pattern NGRP NINT t_int t_exp t_acq SNR Well eff \n", + "---------- ---- ---- --------- --------- --------- -------- -------- --------\n", + "BRIGHT1 10 5 204.00 1019.99 1073.68 77.3 15.273 2.360\n", + "BRIGHT1 9 5 182.53 912.63 966.31 70.2 13.665 2.259\n", + "BRIGHT1 8 5 161.05 805.26 858.95 62.7 12.057 2.139\n", + "BRIGHT1 7 5 139.58 697.89 751.58 54.7 10.450 1.993\n", + "RAPID 10 7 107.37 751.57 826.74 55.2 8.038 1.921\n", + "RAPID 10 8 107.37 858.94 944.84 59.1 8.038 1.921\n", + "RAPID 10 9 107.37 966.31 1062.95 62.6 8.038 1.921\n", + "\n" + ] + } + ], + "source": [ + "# Optimize F444W\n", + "kwargs = {'tacq_max': 1000, 'well_frac_max': 30, 'nint_min': 5}\n", + "for sp in [sp_sci, sp_ref]:\n", + " _ = obs2.ramp_optimize(sp_opt, sp, patterns=['RAPID','BRIGHT1'], verbose=True, **kwargs)\n", + " print('')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Update based on decisons\n", + "obs1.update_detectors(read_mode='RAPID', ngroup=9, nint=5)\n", + "obs1.nrc_ref.update_detectors(read_mode='RAPID', ngroup=9, nint=5)\n", + "\n", + "obs2.update_detectors(read_mode='BRIGHT1', ngroup=9, nint=5)\n", + "obs2.nrc_ref.update_detectors(read_mode='BRIGHT1', ngroup=9, nint=5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Saturation radius" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2 NaNs left after 2 iterations.\n" + ] + } + ], + "source": [ + "# Determine saturation that isn't easily interpolated\n", + "# F356W\n", + "nsat_list = []\n", + "rmax_list = []\n", + "for sp in [sp_sci, sp_ref]:\n", + " sat_level = obs1.saturation_levels(sp)\n", + " #print(sat_level.max())\n", + " sat_mask = sat_level > 0.8\n", + " rho = nrc_utils.dist_image(sat_level) # Pixel distances\n", + " \n", + " # How many saturated values can we easily fix?\n", + " sat_level[sat_mask] = np.nan\n", + " sat_level = nrc_utils.fix_nans_with_med(sat_level, niter_max=2)\n", + " \n", + " # Set any NaNs to 1.0\n", + " nan_mask = np.isnan(sat_level)\n", + " sat_level[nan_mask] = 1\n", + " sat_mask = sat_level > 0.8\n", + " \n", + " # Get final info about saturation levels\n", + " nsat = np.size(rho[sat_mask]) \n", + " rval = rho[sat_mask].max() if nsat>0 else 0\n", + " nsat_list.append(nsat)\n", + " rmax_list.append(rval*obs1.pix_scale)\n", + "\n", + "nsat1 = np.max(nsat_list)\n", + "rmax1 = np.max(rmax_list)" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Determine saturation that isn't easily interpolated\n", + "# F444W\n", + "nsat_list = []\n", + "rmax_list = []\n", + "for sp in [sp_sci, sp_ref]:\n", + " sat_level = obs2.saturation_levels(sp)\n", + " #print(sat_level.max())\n", + " sat_mask = sat_level > 0.8\n", + " rho = nrc_utils.dist_image(sat_level) # Pixel distances\n", + " \n", + " # How many saturated values can we easily fix?\n", + " sat_level[sat_mask] = np.nan\n", + " sat_level = nrc_utils.fix_nans_with_med(sat_level, niter_max=2)\n", + " \n", + " # Set any NaNs to 1.0\n", + " nan_mask = np.isnan(sat_level)\n", + " sat_level[nan_mask] = 1\n", + " sat_mask = sat_level > 0.8\n", + " \n", + " # Get final info about saturation levels\n", + " nsat = np.size(rho[sat_mask]) \n", + " rval = rho[sat_mask].max() if nsat>0 else 0\n", + " nsat_list.append(nsat)\n", + " rmax_list.append(rval*obs2.pix_scale)\n", + "\n", + "nsat2 = np.max(nsat_list)\n", + "rmax2 = np.max(rmax_list)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2 0.746755984241\n", + "0 0.0\n" + ] + } + ], + "source": [ + "print(nsat1, rmax1)\n", + "print(nsat2, rmax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Contrast curves" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F356W_MASK430R_CIRCLYOT\n", + "F444W_MASK430R_CIRCLYOT\n" + ] + } + ], + "source": [ + "# Determine contrast curves for various WFE drift values\n", + "wfe_list = [0,5,10]\n", + "nsig = 5\n", + "roll = 10\n", + "curves_dict = do_contrast(wfe_list, filt_keys, nsig=nsig, roll_angle=roll)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "curves1 = curves_dict[filt_keys[0]]\n", + "curves2 = curves_dict[filt_keys[1]]" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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ghDRzMxzgXOBbt+mtWP8Y+WSMeQrrc1jvfOxr59fAZQ0pbHvmGQtttV1/ar021ZG+Fo2F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\nlCIiIiIiItISJZQiIiIiIiLSkv8fm/3fMw1unkYAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the contrast curves along with saturation regions\n", + "xlim=[0,20]\n", + "ylim=[24,8]\n", + "\n", + "fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + "ax1, ax2 = axes\n", + "entropy_vals = [13,8]\n", + "\n", + "for j, ax in enumerate(axes):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + "plot_contrasts(curves1, wfe_list, ax=ax1)\n", + "plot_contrasts(curves2, wfe_list, ax=ax2)\n", + "plot_planet_patches(ax1, obs1, age=age, entropy=8, av_vals=[0,10])\n", + "plot_planet_patches(ax2, obs2, age=age, entropy=8, av_vals=[0,10])\n", + "\n", + "label = 'Saturation'\n", + "if rmax1>0:\n", + " rect1 = patches.Rectangle((0,ylim[0]), rmax1, ylim[1]-ylim[0], alpha=0.5,\n", + " color='grey', label=label, zorder=2)\n", + " ax1.add_patch(rect1)\n", + "if rmax2>0:\n", + " rect2 = patches.Rectangle((0,ylim[0]), rmax2, ylim[1]-ylim[0], alpha=0.5,\n", + " color='grey', label=label, zorder=2)\n", + " ax2.add_patch(rect2)\n", + "\n", + "for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}$\\sigma$ Sensitivities (mag)'.format(nsig))\n", + " ax.legend(ncol=1)\n", + " \n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + "fig.tight_layout()\n", + "\n", + "roll_str = r\"$10^{\\circ}$\"\n", + "fig.suptitle('{} (Roll Angle = {})'.format(name_sci,roll_str), fontsize=16);\n", + "fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Full observation simulations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "for k in filt_keys:\n", + " obs = obs_dict[k]\n", + " obs.wfe_drift = 5" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Select F444W with two rolls at PA of 70 and 80 degrees\n", + "obs = obs2\n", + "\n", + "roll_angle = 10\n", + "PA1 = 70\n", + "PA2 = PA1 + roll_angle\n", + "\n", + "xpix = obs.det_info['xpix']\n", + "ypix = obs.det_info['ypix']" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Detector ID\n", + "det = obs.Detectors[0]\n", + "detid = det.detid" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Get mask center from SIAF aperture file\n", + "from jwxml import siaf\n", + "inst = siaf.SIAF('NIRCam')\n", + "apname = 'NRC'\n", + "ap = inst['NRCA5_MASK430R']\n", + "mask_cen = ap.center('Det')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Add a random planet\n", + "rtheta = (10, 45.0) # 10 arcsec radius at PA=45\n", + "# Output images will be in coordinates with V3 up and V2 to the left\n", + "obs.add_planet(mass=1, age=age, entropy=8, rtheta=rtheta, runits='arcsec')" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Coronagraphic Transmission mask\n", + "# +V3 is up, and +V2 is to the left\n", + "# Pixel (0,0) is bottom right\n", + "cmask = nrc_utils.build_mask('A', pixscale=obs.pix_scale) + 999\n", + "cmask = nrc_utils.pad_or_cut_to_size(cmask, (ypix,xpix))\n", + "\n", + "# Place cmask in detector coords\n", + "cmask = nrc_utils.V2V3_to_det(cmask, detid)\n", + "\n", + "# Shift cmask to appropriate location\n", + "# ie., move MASK430R from center\n", + "xc, yc = (xpix/2, ypix/2)\n", + "xnew, ynew = (int(mask_cen[0]), int(mask_cen[1])) # In detector coords\n", + "delx = xnew - xc\n", + "dely = ynew - yc\n", + "\n", + "cmask = nrc_utils.fshift(cmask, delx, dely) + 1\n", + "cmask[cmask>10] = cmask[cmask>10] - 1000\n", + "\n", + "cmask[1500:,0:260]=0\n", + "cmask[1500:,1900:]=0\n", + "cmask[1820:,:] = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Make zodiacal background image\n", + "im_zodi = cmask * obs.bg_zodi()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Disk Images\n", + "im_disk1 = obs.gen_disk_image(PA_offset=PA1)\n", + "im_disk2 = obs.gen_disk_image(PA_offset=PA2)\n", + "\n", + "if isinstance(im_disk1, np.ndarray):\n", + " # Convert to Detector Coordinates (flip along x-axis)\n", + " im_disk1 = nrc_utils.V2V3_to_det(im_disk1, detid)\n", + " im_disk2 = nrc_utils.V2V3_to_det(im_disk2, detid)\n", + "\n", + " # Shift to MASK430R spot\n", + " im_disk1 = nrc_utils.fshift(im_disk1, delx, dely, pad=True)\n", + " im_disk2 = nrc_utils.fshift(im_disk2, delx, dely, pad=True)\n", + "\n", + " # Mask out opaque areas from disk\n", + " imask = cmask<1e-2\n", + " im_disk1[imask] = im_disk1[imask]*cmask[imask]\n", + " im_disk2[imask] = im_disk2[imask]*cmask[imask]" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Planet Images\n", + "im_pl1 = obs.gen_planets_image(PA_offset=PA1)\n", + "im_pl2 = obs.gen_planets_image(PA_offset=PA2)\n", + "\n", + "if isinstance(im_pl1, np.ndarray):\n", + " # Convert to Detector Coordinates (flip along x-axis)\n", + " im_pl1 = nrc_utils.V2V3_to_det(im_pl1, detid)\n", + " im_pl2 = nrc_utils.V2V3_to_det(im_pl2, detid)\n", + "\n", + " # Shift to MASK430R spot\n", + " im_pl1 = nrc_utils.fshift(im_pl1, delx, dely, pad=True)\n", + " im_pl2 = nrc_utils.fshift(im_pl2, delx, dely, pad=True)\n", + "\n", + " # Mask out opaque areas from disk\n", + " imask = cmask<1e-2\n", + " im_pl1[imask] = im_pl1[imask]*cmask[imask]\n", + " im_pl2[imask] = im_pl2[imask]*cmask[imask]" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Create stellar images\n", + "im_star = obs.gen_psf(sp_sci)\n", + "im_ref = obs.nrc_ref.gen_psf(sp_ref)\n", + "\n", + "im_star = nrc_utils.pad_or_cut_to_size(im_star, (ypix,xpix))\n", + "im_ref = nrc_utils.pad_or_cut_to_size(im_ref, (ypix,xpix))\n", + "\n", + "# Convert to Detector Coordinates (flip along x-axis)\n", + "im_star = nrc_utils.V2V3_to_det(im_star, detid)\n", + "im_ref = nrc_utils.V2V3_to_det(im_ref, detid)\n", + "\n", + "# Shift to MASK430R spot\n", + "im_star = nrc_utils.fshift(im_star, delx, dely, pad=True)\n", + "im_ref = nrc_utils.fshift(im_ref, delx, dely, pad=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "sci_slope1 = im_star + im_disk1 + im_pl1 + im_zodi\n", + "sci_slope2 = im_star + im_disk2 + im_pl2 + im_zodi\n", + "\n", + "ref_slope = im_ref + im_zodi" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Superbias for data reduction\n", + "caldir = pynrc.conf.PYNRC_PATH + 'sca_images/'\n", + "fbias = caldir + 'SUPER_BIAS_485.FITS'\n", + "hdl = fits.open(fbias)\n", + "bias = hdl[0].data" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def average_slopes(ramps, bias):\n", + " \"\"\"\n", + " For a series of ramps, calculate the slope images then average together.\n", + " Would it be better to average integrations into one ramp, then find slope???\n", + " \"\"\"\n", + "\n", + " slopes_fin = []\n", + " for i in range(len(ramps)):\n", + " #print(i)\n", + " hdulist = ramps[i]\n", + " data = hdulist[1].data\n", + " header = hdulist[0].header\n", + " ref_obj = pynrc.ref_pixels.NRC_refs(data, header, DMS=True)\n", + " ref_obj.calc_avg_amps()\n", + " ref_obj.correct_amp_refs()\n", + "\n", + " # Subtract superbias\n", + " data_corr = ref_obj.data\n", + " for im in data_corr:\n", + " im -= bias\n", + "\n", + " # Create time array\n", + " ng = data_corr.shape[0]\n", + " tvals = (np.arange(ng)+1) * obs.multiaccum_times['t_group']\n", + "\n", + " # Flatten image space to 1D\n", + " data_corr = data_corr.reshape([ng,-1])\n", + "\n", + " # Make saturation mask\n", + " sat_val = 0.8*data_corr.max()\n", + " sat_mask = data_corr > sat_val\n", + "\n", + " # Create slope images\n", + " # Cycle through frames using only unsaturated pixels \n", + " im_slope = np.zeros_like(data_corr[0]) - 10\n", + " for i in np.arange(1,ng)[::-1]:\n", + " ind = (im_slope==-10) & (~sat_mask[i])\n", + " if np.any(ind): # Check if any pixels are still True\n", + " im_slope[ind] = pynrc.fast_poly.jl_poly_fit(tvals, data_corr[:,ind])[1]\n", + " #print(im_slope[ind].shape)\n", + "\n", + " # Special case of only first frame unsaturated\n", + " ind = (im_slope==-10) & (~sat_mask[0])\n", + " im_slope[ind] = data_corr[:,ind] / tvals[0]\n", + " #print(im_slope[ind].shape)\n", + "\n", + " # If saturated on first frame, set to NaN\n", + " ind = sat_mask[0]\n", + " im_slope[ind] = np.nan\n", + " #print(im_slope[ind].shape)\n", + "\n", + " data_corr = data_corr.reshape([ng,ypix,xpix])\n", + " im_slope = im_slope.reshape([ypix,xpix])\n", + " slopes_fin.append(im_slope)\n", + "\n", + " slopes_fin = np.array(slopes_fin)\n", + " slope_final = np.nanmedian(slopes_fin, axis=0)\n", + " \n", + " # Fix NaNs\n", + " slope_final = nrc_utils.fix_nans_with_med(slope_final)\n", + "\n", + " return slope_final" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "ramps = obs.gen_exposures(im_slope=sci_slope1, targ_name=name_sci)\n", + "slope_final1 = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "ramps = obs.gen_exposures(im_slope=sci_slope2, targ_name=name_sci)\n", + "slope_final2 = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "ramps = obs.nrc_ref.gen_exposures(im_slope=ref_slope, targ_name=name_ref)\n", + "slope_ref = average_slopes(ramps, bias)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.192506206757 0.193133895386 0.182684455265\n" + ] + } + ], + "source": [ + "med1 = np.median(slope_final1)\n", + "med2 = np.median(slope_final2)\n", + "med_ref = np.median(slope_ref)\n", + "\n", + "print(med1, med2, med_ref)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "half_size = 100\n", + "x1, x2 = (xnew-half_size, xnew+half_size)\n", + "y1, y2 = (ynew-half_size, ynew+half_size)\n", + "\n", + "ref_sub = slope_ref[y1:y2, x1:x2] - med_ref\n", + "im1_sub = slope_final1[y1:y2, x1:x2] - med1\n", + "im2_sub = slope_final2[y1:y2, x1:x2] - med2\n", + "\n", + "# Scale factor for Roll 1\n", + "scale1 = nrc_utils.scale_ref_image(im1_sub, ref_sub)\n", + "\n", + "# Scale factor for Roll 2\n", + "scale2 = nrc_utils.scale_ref_image(im2_sub, ref_sub)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.952152532 1.9521905765\n" + ] + } + ], + "source": [ + "print(scale1, scale2)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "mask_good = cmask>1e-2\n", + "diff1 = nrc_utils.optimal_difference(slope_final1, slope_ref, scale1, mask_good=mask_good,\n", + " center=(xnew,ynew))#, std_func=pynrc.robust.medabsdev)\n", + "diff2 = nrc_utils.optimal_difference(slope_final2, slope_ref, scale2, mask_good=mask_good,\n", + " center=(xnew,ynew))#, std_func=pynrc.robust.medabsdev)\n", + "\n", + "#diff1 = (slope_final1-med1) - (slope_ref-med_ref)*scale1\n", + "#diff2 = (slope_final2-med2) - (slope_ref-med_ref)*scale1" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from scipy.ndimage.interpolation import rotate\n", + "def rotateImage(img, angle, pivot, trim=True):\n", + " padX = [img.shape[1] - pivot[0], pivot[0]]\n", + " padY = [img.shape[0] - pivot[1], pivot[1]]\n", + " imgP = np.pad(img, [padY, padX], 'constant')\n", + " imgR = rotate(imgP, angle, reshape=False, cval=np.nan)\n", + " if trim: imgR = imgR[padY[0] : -padY[1], padX[0] : -padX[1]]\n", + " \n", + " return imgR" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Convert back to V2/V3 coordinates\n", + "diff1_v23 = nrc_utils.det_to_V2V3(diff1, detid)\n", + "diff2_v23 = nrc_utils.det_to_V2V3(diff2, detid)\n", + "cmask_v23 = nrc_utils.det_to_V2V3(cmask, detid)\n", + "\n", + "# De-rotate Roll2 onto Roll1 \n", + "xnew_flip = xpix - xnew\n", + "diff2_v23_rot = rotateImage(diff2_v23, roll_angle, (xnew_flip,ynew))\n", + "# Follow along with the coronagraphic mask\n", + "cmask_v23_rot = rotateImage(cmask_v23, roll_angle, (xnew_flip,ynew))" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Mask areas with low coronagraphic transmission\n", + "# Cut-off at 0.5 to exclude aliasing of rotated mask\n", + "mask_bad1 = cmask_v23 < 0.5\n", + "mask_bad2 = cmask_v23_rot < 0.5\n", + "\n", + "diff2_v23_rot[mask_bad2 & (~mask_bad1)] = diff1_v23[mask_bad2 & (~mask_bad1)]\n", + "diff1_v23[mask_bad1 & (~mask_bad2)] = diff2_v23_rot[mask_bad1 & (~mask_bad2)]" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Create a final image\n", + "im_final = (diff1_v23 + diff2_v23_rot) / 2\n", + "nan_mask = np.isnan(im_final)\n", + "im_final[nan_mask] = diff1_v23[nan_mask]" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Shift to center, rotate North up, then cut out a subarray \n", + "im_final_shift = nrc_utils.fshift(im_final, xpix/2-xnew_flip, ypix/2-ynew, pad=True)\n", + "im_final_rot = rotate(im_final_shift, PA1, reshape=False)\n", + "im_final_rot_sub = nrc_utils.pad_or_cut_to_size(im_final_rot, (800,800))" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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ELgcxOgxzeQHm0afhXrqCBz/2CFpvOAEaHwXNzUDX63zfiXH+TXhzeJtBJJNQZ85DrW9Y\nhgoAeruMhz/xBDPMZAKUTECk0xBDBX6eSgUizULuwT/5LFzPoqI7jwVjTCUjY374b54CZTPBENod\nuMsrkXNMucKfPSaa/fDDAIDq992HbhK5HB7+zLPM6EJCnxIJtqLyOVAhD71vBg//zUnI8TGolVVQ\nnAWTv4acyQnL2B/82CP2XTh7Z/lcb150swmxb9a7uQiESojUJq8j02nDmRiHOneR1+JYVHDIPTOe\nBachCjm4S8t48KO9bTsom2F3GthihlZ45ONPWG04cu9KJar8JOKgfbPQzzwHOT4GZ3oKlI7WdHRm\npvHwJ59kYb++AV2uoDOcghrJwZmbQbuYgE4IwBiYmIMvP3QerdkhqEwcOuVAVltIPnoBqpiDKubY\nTblVwSOfOAnZdEHaQDQ6IKXRGU4jtlxG/PwS9MnTzHQbTcQWNuy+pge5wLCJ83P4a8Pfz/KzT0Bt\nbUFfuAxVqUAePsDfj48BWtnz7PPN8fvSp85AHj0MtR00lXzo44/BeO4o8lybMp9nXtBsQqTTkfVs\nqUtAOdNTEOl05N7u0nLv70L3vR75Y3zo448BRFCVSg+/e757vBi6aTPHm7WmCbuqwu6psDka/l4e\nPQyq1q1mAETNQd+V0c+clYcPYPEN40ivaBT/+jQQi0c1HM910/jue7Dw3QqZZxP4yx/4Xrz1Ze8I\nrjFUgKrsMIPIZqGrVeuSEZkMKB63mno3+daObncArSCHCtA7NcjZaZhkHOp0IFtb33EC1VkHo7/H\nzMeZmYa7sBiMoVyxwuIDj/8a3nrXz8KZnmKtzbu/SKejwsObI58ZdWuqzvQU1Mrqrhq/Nc+J4IyP\nQVeqgTtrF/eBTx947N14690/x/fv926GCtC1xnWv4ezdA/fyVfs5si6GChEm4rv2/GvKfB6YHIO+\neNV+VpXAz+27quT4GCiVhHtlHiKbhbllL0S5DnX2AshxQKkUdLXKDG5tM3jX3tw4e/fAbG6zIPbW\npe8qBIK1SokEWym1WsSlF54Po3RE8fjAI+/C//6TH4J57Bl0XnsXYp9+nM89dgQAoE6d6T9x970M\not6GiTvoFBIQLQXZ6KBVSsMQ4DQV4qs1YGUdGMrDpBNQWRa2oq0AZaDTMYiWC7lRhc6nYU6di6wT\nOTKM7dcdxh/9xzfhrcd/Gs7EOEyzad+JPLgP6vylvsOjRAJyYozn/I6j0CdPg5wYTKdtrVXjdtg1\nl8tF5sSZGIda34BxXetmsmMqFgFBwdzncnCPH8B/+d1/jX/3yl+KvH9/HP0Y+nXpOrGPG/q547A7\nMXSNj1f/GMlM8quOcfxTc1W9pKSbzQgjsxqWCVwiljkc2g8Tk5HFAQCNbzlq/6/WN/g3XYFiWSzC\npOKY/EIFw38/D7VdjgoNAOLYEdBdx5DY6GD4S3GMPdbqCQyr7TKbmcbYBexvel2rAVL0uDH8z7rZ\nZAGTSsKZmYZR7JZxL12JCA2RyyHz5DyGLoTcJr7QyOeBRAIwBrLkWTyKmbmp1SJCS9fr0LUaj8tz\nK4l0mjVo14XIZCIuKnfxGm/AmWm+l8eQAM8d55nnIpWC2tpmy8BzxfmbXBy/FX0pFAg3nba9h71+\nMglRyHX/KkImHoM8dsRqnWHGZTpuxD1hWi2o7bJdB6pSgc4mIPazN1VV+wej1coqCyfv/YrzC6DK\nDkQmw9aZ9zt19gLU1pZVBmQ+y98vLrOlkEhY14Pa7KNIKMXuyVwOvmIoxwP8CKVSEL41R8SuHiEg\nLnH8JPnIOdCdxyByOahTZ2AuXOHzikVebyEt2rm8guZkFnKjililDTIcuCZtIDoaoqWg03FQPgcI\nAWq5MDEBExMgV4O05iC4ILT3DLO71pt7Z3KCY4Ibmxj627NAq23Xpa414MzO8ONeuLz7e221oDe3\n+TdPPgt5YK/d/6bTZkFfyEMe2h8IDV8hSibYrTcy3MMXjOtCbWwGrtJqFcYRgDbQjSbk0cPBfMfi\n1xUacqjQ49Llm/QRGtSH54ffTdcY2W19HXfriyT5y7/8yy/Zxf4p0cbS1i9/9Lc+EUES2f+HvnP2\n7kHtgSOI7bjQTz3Xc534UhkkJeToCPSO58v0XqgzMQ6RzYJSSegrizDzS9AVXnyyWATFYtYldvGn\nDyG+E0Pq8UtIn1wCnbkMaI1zT1yM3rAbveSTkOzO2alBjo/ZRU7SCbRjIlAiAb29DRPSMmU+D5HL\nQo6VoLfK0OUyxCWOWzgz0xDFIVAsBrW1zRiMDvu7/WtcOHUNcFUgZPN5uxGsJuUqmE7Hzo3x0Uhd\nz+PPj1ljIey+5i7QxCicRgckHZh2B6bdBh09yC6PTU+IEMEsrbILhQgil4VpBsIvPI9iZBja10bz\neaiNTZh6gwPSO6yly8lxUDzOz6s0qN6AXloBTY7xfHRcmHabNfZGg13DXRtZpFL8l82AyjXo5TV+\nR+0AbSZvPQQ0Wrhwbg0inYJpNGwwHcZAl8s8Vx3FSoNia7HyxjsRP3mZ71MowNTrwVwqBXIkTKsd\n9al3OhF0n8hkoHd22DpUyo5L7+yAYjFUvvsOJJ5ZQOuu/ZDnF3Hh1DWYZpPf5/KaRZ0Z1+V52NmB\nqUfjNpRIoDMzjPhGHWKzAqQSaE7lkDp5FWYoBxMXIGWgU3FASohqHc2ZPHRcQGiC3KpBzK9C1lsg\nJw59ZYGthFyWtf16ne9drQIEXFzcgR7OA+Oj0Gcu4PnImZyArnjoM2PQeMVhxC6twpmbhd5igWKa\nLVC90WMNi0IeIp+HWo7mIDv790KteoqhVpbhy8V1mFYL5x49BzE2ChlPQFer9r36JG89BOnELD+h\nWBwUjwFSwDR2a+J4fTLNZs+7iZCHcHzDj78O2aHMr7yom4Qvd7O6qs4+dsH46IaI6yCEWJAjw+jc\nugfOyQvsIvBcUdcjn1HKfB6UY00wjLISuRwombQWx/I7XgE3BbRGNGb/ViH5uaf7Ir0A9LgVKJGw\nm56Gh6CWVmBaLdZQh4tWC/I/AwAcCffKQjTA5gkdMToM98q8d3Fmar7/W5ZK7KvNZqDW1q3bxCd5\n+ADU2etsVCIWopKNWNPuMAKsxQxSjgwDRNDbZciZqYhbKHKZkItI5HLQtTpEPAYxVGCopKugt8sQ\nuSzc5RVrzsuhAiiVgru03IOa63sf7z2S4wleY2A6LsTthxlZVqvB2buH71euWKgnZTOAlBb55szN\nwtTqwNhI31hCmHyXGcWcCELMR8LIbAam3Y6sgeV3vAIT7/1y9Dr5PJBKAq0W9E4NopC3SBrf5QWt\nOVi8S6A1PEfn/vvLcehfP8HXPrSfhZEQkfftTE6wn7zbfSIkzL23oTabQnKjg/hKDaLWgHvpCsz9\nx/mUjoKotYDNMseNPM3XtFpsNRiDzp5RGEGInVkEZVIw8Zi9v7OPgSb6lXeADCCfPAdKJdlNdIP8\nq3tvyZFhtoIAoNHktdT9m5CbOvK7WIzBDX1cQbsh8brdYDdEL9BVRYkEZHGo77P49IFH3oXDdx+4\n6eC4/yCkKpXgJfhCY6iA+n0HkHl2Fe4NvlCRy4ESceiXHUZlTxr5z/RaKFAKam2NN9rcGD769vfg\nQCyLV73lxxH/m0dhbR0i1laLQ6xZtVqRhS3SaZiOy37UrQrgBZjF+BhMuQJ3fgHO7Ax0IQv9zHPM\nqOG5dRIJiPww4LrsXtLKbgBn3xz00gp0s2kZHTmOl8/RgWm2rIYpgIj7JEIhQUHZLEw6yedYNJjD\nweJmk62gnRoL3JFhmO0yB4uNiTBQIOoislZVbpitoUP7oJ/hObcb2hhGWZUrUF4A0OiQq82bg3As\nAAALyFbLChDjujy/q1twvWurhWs9sFVd3YGcGOPxCwF1jQP2judWAtgSDW9eHx3m39/GWoggC3lQ\nMglnPA7TaEA3m9j84fsx/N84/jTzF5fhgrVSOToMU6szw5MCJp+FzGSgNzY5BuIz93a7xzUibz0E\nfZGFNUmJzj23QH6OhcWR32zYdanOXYS44yjE2nbw3C+7Bag27Hzb73M50MwEWikHQw8vwiQTcEcy\naMzlkBzNw1kpoz1dhAZAiRjga8Qh16K7sMigioVFxPbugZ4uAW0X1Gyz1V4sQOfZZSm++CQrgY0m\npOfSBXiviEIexlUBajEUU5CH9oOqNVB2EtjY5rhZOo3GIV4jnaxE+qMrPcKlO7YJsEKky6yE9lNO\nKOZADI30QOr9tRyG4z8fiWwWemfnhoWHabWgPaTfrjGVfq6uF0E3b4yja4LIYeieMz3FnzMZZE6t\nwL10xTvuRBhL30s6DtTmNkS9jcxHHuZYRihoCsAyws7ecVz45xl8+5//LF77r34YmefWowgLj2mq\nVTZvKZGASCYt6kLX64zg8vyo8tZDoHQKFI9zLOOOo2gdHAN5yUq+vxbwfPBrazYmYeM87Q7cy1dB\nhagv1ffX6nbH/kZvl3s0pDBskOJxPp5IQC2vwCwsMTP1IJ/QBpRO2fH4i1htbHIsZ3KsR2j0JQ/C\nbFotmDPsjrJCwSN3YZFdAn4MSyvorS3orS3rIuh+t2pjExAS5Pmx7bszBs7cLOgu9vHb5/UgxqbV\ngntlnoPQ8VggBEIQSF9okOOwdSAk38vTtH2EFTkxwHHgXluCu7TM1kMmg9LHzkAWi6h+/31B/szw\nEFs6lQpMpQr3yjzMtRWYZpOtOgBqjTvhigNzLJQO7rNj0ucu2feg63XIzz0BZ/9eZpYnT6P97ScC\ntNKVJZh2h91sRBDlGkx1x+4dn0y7DSyvI75RhyoVLINLbLSg0g7ci5fhPHEW4tFTEOuhfWI0YDTP\njc/8MxmYzW2IjQpUPgnUG6BMGmr+GkSZg/wUi7OGrxXHabx5NErB1OqRd2xdqY4Dqtb4nWxX7Jo2\n6SSSj15A8tELyF6scsDdg4PLkeHA/ZTPW6HhKwCUSMDZN8du3i60nGm1eoRG5HizadeVSPd0Io6S\nUiAn1gP9vx75wu4FB+JfIN20rqrFc0vmyc9xctBDH38MD/3V4/ZY2GzscQ/t4uYQuRy23ngMxWcq\nMM+cjcJxY3HIkaJlGLJUQu2+fXCThOxHHrNWjp/sprfL/RE+ocQ93xVm/bBKRRaDftWdcLYaNi5j\nF6HW7HYJadM+dWvCu1GPdh5KvnPmZqGLOeDsZQsN9u/R4w4YHeGs5kYTutEMIM5DBWC8BKo1bGDe\nf37f7aQqO72JarkcxwjGxwAhoui3kIuQHMdmg4t0ui8STeRyENlMX5hidxKVTXrcqbHLLCRg5egI\nzE6Ng8v5nEXh+HDeyHU9l6lFynnrUA4VWChsbLL2XBqBXlmLWqDJJHSrBZFiYazr9b7oKAvZDiUg\nRuYXuCEN1pmcgJoehXnsmd3PmRjn7PGhHMrHisj+xUNsUbY70Mf2AQ89xe7Q0/3LyDmzM1BLy2zt\nvewWiM1qZD1YNBsR5IG9oEYrEKTeerd5R7E4SAo7ZyKdBqT0YgxxiP17oC9chti3B/WDIzAOIfnx\nRyLjkUcOYuvloyh++gJMtWqvJYvsBjatFufKjJfYPak0C2Ol2M0Zj7Gwex4FFOjvBuMH+eqQVPYy\nIXThfd95F+7/nvtgXBd3PHAM04cmv2qz46YVHOEYhz+JcqgA99a9cE5dsugUKMX4bK04FhCPBQsm\nxEDlsSNozOaR+OxTvIC87GCAmYe7eA0QEu4DdyB5dplT/8FIGJFJMb5eaZhGA5RMQG2XmXnlc5EY\nSdgsDsdTjFKgZAKVVx9CbUJi8lPLUOcusjDYMwbHK3PgW1BAVEBSLA6RSQWMJOyLFRLO2ChMIQd1\njmGNJIjdOdtl1pYFwSjFrpVMhpFWOzs2Y9qZmwXanYARdzEpchzI6UmGRXqM87owWyLIoSEOIBoN\ncXg/u9a8jeVMjMN0OtYiE0MF6H4Y9q6NaDds6PnFbbeAVjaCRMRWq3e+wiQkxG2HYM5cCvI7pqfQ\nOjwB+dknIufdaDJXmJGIdBq62bK/jcCl83lGTHnZ9j45kxMcHFc6EJT+XM3OAFJYFF+EOefzuPBz\nx7D3Fx7E8ttegYnf+jLksSM98FuRyUA3mhCZdBSyum+OM7hDAkYkk3DvvqU3AdO/Z5frLnIsdG9n\ncgJqfRNIZRVjAAAgAElEQVRiqMDvxgsi92O4slgMoOLeXHZXGwjDqvUr74BssHtXXtsAjIG7vILW\n609AtDUSDz7Xn7GHyV9bXe/ZtygiFnv3OgztzX5KxguhXYVQH3qpYhw3r6sKgWvF9/s37jsMZ7Nm\nA+U+WoqEN49aRbQ8tbEJkcth40fuh07FkHooFPz0tHrTalmroPPaO7F5SwIml4Z7+Srcy4zr140m\n1PoGJyM1m5wnAV5Y7tJKBCYXDs5b906lApHLonN0Drm/Oomx938Z6hy7bcqv3AvSBsuvm8Ly69iV\n0Hr9CXt9IMBzh5mgDLurtIK7ug5qtuDsnbXZxfZ87zOMgdou25IUapvrOYl0Gu7VBRYanltGFvII\nZ69TPA7tIakolWJtuUtoUCxuXXXO1KR11xnXBdYYnurMzdqguS5XLIM31Wp/89wYiGQygDr6Gdda\nWSglLSxZJmy8ek9yYiyoYQUvcct3XWkFc+YSo7s8V4WuVJF47pqFAot0GrLIrh+RTFpoLdCbkeyP\nE0RwJidAU+MQyQRkqcTKy+Qwj1VIq/CQE00sc5dXoKs7URjvwX0gx4G7sIjO9DBMOgmTDo3j1kNQ\nlQr2/gLHU77rh74AoE/OhpCMDNIqYqmLdBrupSsQVzzX3J3HOH+k1YLzWG/8L1wFAQhcqJRIWLea\nPn+ZxzY6AndpmffP3DicvXs4tuTNnRwqQBaLwTspDfN3njUKoMcVqrbLDHgAx0vo7FXQ2atoHp22\nlm3qC88h9pknQPE43NfcBXn4AGQ+D2f/3p7ncaYm+T/hMjvgfdcTCO9S0H3XKiUSL1xodLnhb1Ro\nvJR0UwuOsBtCnbgVsUob6gyXdxC5HHS9ztnIPm68C/8PANVvPYrMioJ57BnG7rdaPdmgul6HHB9D\nbLuFyY+chzp9LoKb981qkclwvkMqxRaLl7+wWxBLZDIgx4Gzbw5IxBFb9cxnIuCe21H/Z/ci//QG\n5OYORn/vQZvQtzMZ9YlaiypEPe4breBemYd78TKPNRzsnZm25jpf0FgrSVerrAGnUsz4x0twxktW\n6IhMBvLgPobYekxWbW2BstmeR5bjJZhClmMH9UagzU+MA4Uso4W8HAhdrbKLY98sl/zwLJh+/mCa\nm/GuPxbZ0LZsijdWHyQg0mmYZiuSI+EuXrMJmeQ4FsygazVm9pNj0Ds1uAuLDH8ujQTJYcUhiOKQ\nnctIaRWPRIH9/e7SMswSl35Ra2sMJX70acixUSvsxFDBBmiDhxR2vmz+UmWHlRJj2Mo+eyEKcljf\nhvsabmvu7N+Lx+/j9xMWbM7MNOShfcEc+Ui/WMwKVrW2Bjk+BtFsQ+zbw7DnZtMqbu1vuxv6m+9k\nq79Ugq7scK0zPyH31gM2gU8Wh/j6xti4n3nsGTQPlKA3t+y6o1QKGA3WpDp3EWq7jM6hqb6QVt/K\ncS9fhSwW+T00GjCNBpxqG/V796P1+hO2rI/a2kKs3ER7qgBVqdh9EaaemnV0fXbaHdMwrmsBI7JY\njO4x/5KxuFUs7fEuIfS8+Rm7lFf5auimFhw+qQdejuZYAvTlk/Y761sOTWo3Xlse3IfMRx9B8q+i\nvlDrQpicYKZx1zFgKA9nZZsRLkCA80bApCnGAXhdr3OehNsJFkUoeUckk9aiEcUimvtGoRaXoM6c\nh0gmUfmX92JnLo3s+TLUmfMwiVhkeCN/+EjAQImYGWYyUa25D0XqYjWbtmaWu7AIfWC6J0FJHtzH\nLqXxMfbzuuyq8gW2LI1A12pQ5y9xAmY6GfiL/VhFiMzODrCwzEwqlKTpLq9AXbjMllpI23L27oFZ\n9JQDIQPrpIvUmfNsZeaigUyZz3saqlemJRQk70a+hJWK8D185qjOMqSbEgnoQ7MB7LmL/EA+gCAx\nKxYPBIGQVmMO39O3auXYKPTWdo82LYeH7P9FJgNRLDJc19dGHQftbz+B9refsOdROgnn7x5n668S\n+PRBAvLIQdbOYw7MvBdXSCaBowc5+bNLqzbjw6BmG2b+mn3//r/xTz0G8YWvoPmd9zDQwU+880EO\n59i9ql79ciCZsOVv/DgFACSublkPgX9tde4i59ocvxXi2BHI0RHE1jhvRaTTkT1lasF8mXYbfh0u\n47oQLZfr0hmg8cZ7gvMePwX59yfhTE/ZciV27kIKig2QP49bMlKkM7QP1QZXCegXizOdACG3W9WI\niOLprWU5MhwIFNOrqHy1dNPDcWv/4l7kP/0c4lKi+7Wq7TJrkNkhG9QEPCTGbYeBWpODtZ4PMuxL\nNPcfx8ox1iCySy7SX1qAG/aHhwrF+f/34wUWEnzrIehzl/mYX//JGA6c3nYLWlNZJB85x5t7dgZq\nrACqt1H8zEWolVULoaRmV5xAK4jSGNBqwXRcm+UtRodtsLBfbEGOl6AmitZfrTY2PZeSC7qyAlWp\nsN95bZ033co6a2era+wWcVUkxmLqjci9rKsqkWDGkMkEEFLAFgXsZzWIbJahwjshs7zjgqS0OH+Z\nz9sgvK/dmXabYzOjo1arpUQCRAQq5LmabDYDxKKoOmdiHGqmZOfCdLhIJeVygG/1GcOWSWhDm1YL\nzuI6wuKrG5AgMhlQKgnTYItFjpdYaDZ5bRivXL67sMj5NbUaKJWETCTgLl5j4dvNhEJuNQjBgi+s\nFK1vIP430RwlvcIxHd+acCbGgXSKtevdmJRXxVeODLNF5lsG1QbQbKHxmtuRPr8ZsWzoxO0wjz6N\n5F89Av3Nd0J84Ss8prU1trzTaQilgM8+EcwbESdrjg4zxP1cV6KsF2M0rRbMydPB9+sbwR4LzZG+\n4zDw0FP8/1oNIhdYvHSFBWP6wbPQh/aAjt+K9kga8UfPWstWF9K9cYpkkjPzd0naDcddumm3nA6R\nyXAS7HXK41yXdB8UoT9mIQdw3BuhC792Pza+r86w2V2QDrrV6kn6k9OT0E8+axer9UH65RvyebgZ\nB4VLbRQutZE+s94bRPU3bTfu3YNt+nkUFmlUKtlzW284geqRAlJnV20Q3aQSUOk4zKV5FmIhjUV7\nVVPDFoNaWYWq7EDksrYom4mzZSKGh/paHu7CYg+KxjRbjPLZ2mKLIx4LNHPf351IQJ27CPfSFey8\n6T7svImLDFIi7jHtEQ6I1+uM+vJdKrVaxJ3oa6JGm8h8+pnDrH21IY8cZHdRswm1U7PCSlUqdn5N\nx+U/PzbjWRAimbSQZnd+wZunil0fzsQ4a6pEENUg3mXqDcjSCCiZYMbtKwNdjEEkk0FiovfOYQz8\nMuXOvjlWPlyXs4tLJQ5WawORTNh5kMUiI8LW1xkllUrZe/nl6Onu23ie4zGolVXrjrFMKRTHAdgd\n5ezfG4xtZJhdJV5VXpNNW+EegZkK6UFhgz4iulyx4BBxgAW3u7SM1Beegzp7IQIFpucuo/WGE2i8\n8R4rNPx7yAN7oefGA0BKqQRxx1HQXccYjr6+iTCAR6TTXLHBz3OCB4+dmbZwYcdzTUZcOJ7Q8BWK\nsDCn4SIgJCsdjz4NE5NInltB5+5DPH9Dec9dWIowXt1ssmLmjd2ZnLAxFP89ddPzQWtNuwORD4Ra\nN/S82/LpR7vdg2RgzX61dFNbHKlVwtTPPm3x3ySoJyO6X1MmU+nTnAdsaop0GuqWOSSWa4AXyFNd\nmeB+AcDuoJVltH1QEGptjbXL8RGkz21CX5qH22nDmZ6CLg3BGIP4uWtwPW03XNuIcjlo37US1oq0\ngsllYFZWI5j5cAKW7y4yOzVGe4VhuB76SV++yjks1SrgAQvkyDAwUgRW11nb9eYgucFIFWdmmpFl\n6xsRwaybTdbUPDdBeMzWOvGKNGJsFNjcBkhwMmKzCWjN9Z1yub7KgFGqb2E/nyiZAEojQJfG58Ow\nTbPJJUicUIKZX/KiWmWrxkO6+SALeXAfsMXKie/io3gc7tJyBIVEc9MwmywQTccFEQFjw8DaGiAl\nl53w4aWZtFdfzcsVkSK4p+cedJ9gTdvOg994KTSXcmwUaqIIOnUBapHLzIhslmtVeZoytTss4Mo7\n8LsVRAooagXjFaC0a2OoANNiy06nYnaesH8G4twVKC/Z0JmegqnVkP7CGTtfFlBQq0ESWWVFHjsC\nffYSqFoFCQHjva9IzMIrgUJSwpmbgZpfZMVlZQ36nqOIEVlFwrRaMK84DufMvJ0jymQg47GIYmJi\njs3RAQCxXYM7v4DYdhl0cA7ucAZ0JlAgIxUmtALuexnosWfhLi1Djo5YCzhYXKE9KaVtxhUm6wae\nHgftNADf5d3lMo3EqPqg9myuSx9Yr+m0dy9p9ALpphUc7akscle9hJ6JMbjzCxDFYehypQemB3BA\nsH3nAVBHA7vACEUyibV/eRxCAaVPX4XqCnLKUokT554nsY1SSaCrsikAtI/NgpSB+NI5Wz6ivX8c\nsfUdmKvX4NZqliH4OQzdSVl+VV2Zz0Pt1KzVpFst0AIzjvBijCA6/EzZ8THojU0OQDabnMGbTsFd\nvMZuHi/nAJ4fmtIO5PgYOoenEfui59rJ50HUJ2jn+fAjsQgvdwOay3FbBJiH4beWXrEIMz0OVGtA\njTu3iUQi0PjmOLYQ3i4W0uy53Lqv61cDpkSCqw9vlzk3wxhQZYc1Ub/CcixumZ8K+5XXN3vyJcxQ\nDo7k+JAtRHmemYmfPSzUMGiDYxdh7VSk09H8FgDulXl2JVUqHIRNxKO+ayGhNrcZppzPAkurUJ02\nu7aqOxHlhjOMq5FrA2DBePiAVQ4ol4WTSsFdWLTrjhyHhY7rMlggk4F5gt1XxnUhVzahZcDQTK3G\nQjKVhLjtFuhnz1lLxcll4YZcUAGaK873qNe5mkG4mkCzaZUUqtchJyfsXqAvPQl4hQ8BRnnhyycj\nLmrTbEKURiCaLdCBuch9fdizrbQ7Nw3a2GYmeXAf9Py1aJkaf1wPPQUTeq9UDiklQkLms3Z97JaY\n568rp1iAWu5FWfVVhvrEVF60i+sF0k3rqoov15D784cABA1U1MYm+yvr9V6kQWkEicsbFnveN6vz\nyD7EGgbDp3Z4YwviP3g+Xy/wJ0dHGGEUMlvD2pofz9BlTgbbfvP9uPju+7F9MMGmvFYw33QH1H23\nwXniLNTpc0FspdO2SCUQsbtmdT24TSLO1sBECSIeBM1tSZOwj7Pb3+l99sufh10j7uI1vl+7HRGM\n5DjcVlQbiC98xUKU1dpaINzmZnkuhAQdv8VWlaVYnPtGwHMtede2pSLyeTihALra2gLOX4Ze27DJ\ncJFnCpnhvuvOBha3yxErzxkfs9aWOH6rzeS376eQ40KJoc2566aUEnTXMTh79wSWSsdlTVlIYHgI\nGB6CHBvlEi0ZL4lvfZNrHsW4j4ffC2U3xcMmmGYzQL1hXVNyqAASBOklNKoz50GZNLtqvHcGIhs0\n7vsIHmhBX5rnvA8hGVK+sMiWxPHDfJ+jB4HpCRaw42Pcs8PLZTDa2AZV9p35814sQOUSgFY2EGwL\nYd5zO7sQvX4WcqRoNXofLedMT0XWi4/ucucXIm5X02gE7jkZXd9yhGN87sXLQCwGIwnGO0eWSoEF\nlkjw3F1Z5Pk8fQ7YrkCkkpH3AERdRwGkO1gnJGX/XKAwecVJKZGAXlnrv85isd7vrnfJRKJvw7mX\nim5awfF80LgwQ2h9xwmU7xyLmJf+5pUjw3D27oF64OWgq8vI/+lDEJfZLy9yWRtkU1tlu4DNTo2t\ngnAhv26XmDGM6JgYw/ZhYOazLkZ+/0GIXA6tN5yAqHcQO3012ibWH1utBpR3mKkqxQvNc1OYRpNR\nGmcvAAf32o0Wvq+F2vqavMeAfOvFlkQIQXLt+R5YgBwnKJ2Rz1lIpjM3a3MtfIZuanW4Vxd5zp8+\nE5SDkAJYYt+8cd1ejSqR6AksG2NAmUxQOmOoEKCPXBWUVwmVYAHY/+wzFGeGcftqxYshrW2zFQhO\naLPzHM6CHyrA2b+XYZNDBTs3lEhwQuC5eZjqDsTeWU72rNaA8VEAsDBYd/EaB+R9RmIrCXOVW1vd\nNPSuu33czsQ4F9dMJtgiBNiVl05zMyqPAbnLXkFM3yILrb8eBB8CpJhf1j+8PyiZgKg0OGa2ugVz\nad5LxosDrRZ3zPyml8HcfztbPhubtqilT+rcRZuk6ue1+I2i6ORZGGMgLrGioSdGGBXll/iIOUA8\nBjleAtWb7P5qtWzsQ1erEC+7hWtSZTNB6Z3HnmEgQqibpX231Sr0U8/ZygtqfR26UuWulVMTtrio\nvxesa8pH4PmlbDzXUev1J/oKZZKib0A60kzMiUXK8tj3NFTo27QN6I1B9bt+d8O5l5JuWldVJpvA\n2z/4FgBccuSRz58NcPjxODA9Dqxvo35iLzKnV6M+yRDpcgX6yCyaIzFIXwO38YSQcAolRxnXZSZl\nNPviwxmtXj0kwPNrKo3973nGwoOrr7kF9ZJA4hOnIiY2xRyQTFiBpre2bGVOv8gbEEAgyXFAKxtc\nrwlBuRGRTHJOwU6Na0kpxQxLSLaAcjmrefn5AN2Lj+JxG6OQoyNQa9xOF4UczFaQ3MjjjkeTGlWU\nIalyhevxSNHT1LJfMTjTakEdmIQcHYI6fY4Zv9KAkOjMjoDmF3rRLN6zWYaSz0BdW7buF71dBu2Z\ngqjVgabnigj3SiEKXFz+3IYqvEYyuL34lru8AvRJ7Aq7Bn3B57vH7HoKMW3/2nJkGMar4upMT3HA\nf2mZxzEyBHNtBWphMXDBFYtQ5QrE5Di0v7a9cuvh9yFGR6BDtb4oneopA2M6LsyVBcDoSEViU64A\n8RjnRiytYPtf3IniVxKBRR/qBQFjgNXAigAA0emwFVDZ4SoFPmx9fhmqXofQ2rPeYwwAKeQZBODX\n1JLCChHll97x2r6G14vfH4byWaBPYzCKxWHcjo3rmJgTsaz99WQ67q6Q28RfhwqY+nPrKTjPV0Ik\nPJaI8jQ6DNlxoa6tRMqpAF1Jf33iHLaxWiyOe7/tdtz3XXcDADKF56mPdYN005ccseUHPIYZRvF0\nvvVuaElIP3IhqN4a6vJX/t6Xw2kaxHYU4p9/mjW465RHDi9IW95gl7ITzt490Pl0pNbUc795G5LX\nHOz7yAbUqTN9K1z65UfCC6enc1moW5kzPcWbN+ZY4dhd0qLfM1wvwOzHZpzpKWbCXi2iSJfFRAI4\nehDmK6fsZ78rXTBwyb3JU8lILSv+QRC/oESC60odmQV9+aSFqEJr1ro9d6FpNHvcPCKdhhgbhV5e\n5cD16AjU5jYH4P1KpULCGS9ZaG143q1vv4vZiOO3RjrVyWKRkV/hMtt9SlHoatXe148L+UgjW8uq\nTwwuTOESJD3H9u+Fe+kKnD0zHLvwuwfOztjf+DDWfuTfm2Jc64pGigx19qxMd/EaH8tngdFhQBCo\n2YZ76QrozmOQyxsMCsjlIIaH4F6ZZ+s0nWZEXr0RLQPixwUch0uLrG9wjM1Lto10wEwloas7EPl8\nkDnvxZH8NSOHhiyEFoAtlQIdAk34cbM+tbv6QWj9df1CSnv0rJfu/XQD5WhkscgCLNRdU6TTtu3v\njVoT4fU0KKv+fBSL2U5pXJtIBNp4LI5Lv3QXSANz/+lBKISge+0Om+FHDwAG0A5B1t1ACw+1c+0m\nkc9a5uVj8fstjtYbTgAbLchnL9vvaO8MDv8EJxoqBFh/rZTtXkipFJBIBAgqeGb/8JDt6OaurEWK\n/5lUgpO4FoJEOatJeUIyLHj8xS5GR0CNRoBGCfUe8CvLqtV1mHDROQ/xwg+hIOaXrdUki0PQXhKW\nZXweWkf5wjbcN8Vz5QFefEYbyJ0WNMCxh+OHIdcrMJvb0DtNiEyqL7PV9TrM4rKF6VIyad+J3i6z\nYCkOcYdDr9y7bnjB9lBRSKsQjI6wK8jLHZBDBSAWB6WTjNQKMSFndiqSCKirVS8ukALW2PpwqjtW\nU/XHb9qMVvL/haCgTer4GHQ3fNzT2unoAWCTx6BXgkZD/rP6rkg/0bWbSVIszlnu+RyX5xYEU2FB\nR/E4l/L3EENqYxNONhN5PvOVUzYPQ9fq1gqmRCLo+e010gIAjI+CyoxgNEqBclmI6THQ9g5kaZTR\nR0TQS8ugPVOgSg0CDD/2s7b9OBU5DsO4wyCDZBIil7V1q0zb6ySZzXjILLbw7NwePQxzZZGtZ8dh\nAEAo5hYRGtcpRtjdOpi/7HInabW7Euq5nroFmFHKXveFuKBuqAr1C6SbV3CAF5NNLgtNnum0MXpS\nI/vhh4PvInWhcti6vYBY3SB3aoOzsxFoHrakg1+BNZvhuMLGZhAXiMUs+sMfC6VS3FVssQZz+gJU\nqwVxx1G42TichRAMNpMBzU2DKjVQqg0CB73V+oaFkYbHYq6tWBeQSCa8jnXeoq7WLELKN8kBWHw6\n1jdYGKbTkd+5i9eiOSj79oCabeiNTehGw4IB+J5J0OwUa/5e6XPuSCg4d2V8FHplHeiwUO6nLfvM\nxdm/F2iwT15tbXMA3MvhIO88KAW5sh0RkGrbgy53Z1UT2XiHSCZhknHu37G+wZpsNgP32hJEKhUk\nEnoWTTi+YhE3njUKeAzCZzrFIuTMFPTyKiiXg1pf75s9rlbXAldlqOiePHIQ+vI8nOlJmEQcVK3B\naA0SAnpr2zIZtbLK8QzfErrzGLQkyOUtuCdPB0KoS7HR1aptN0u3HYZ58tlexuSjsIYKoLlpLsp5\nZSFyLffSFdswyAcjyFIJlE7CvboAOVy0EF57b4/h6nwKsjgE44ED1HMXgvOMYYuYCNoLtst8FmZu\nClhaBrU6cJdWenJT/LiFUcqzUMMNzAL0nhgu2nWntqLBZ2dinNfJwjKP1evbLoYKwG48t1toeBaE\nRUp2CRZfcQkrnbs2dtrNEnkpvEPdAuxF0s0bHB/QgAY0oAH9g9DNa3F0On39kc7MNMr3zqDwqdMw\nIenv+y9lqYTyA/vhJgnDj67boogArMvIuG40kTCft7/fTZsw2kCOFGHSSegnn+VEsqMHQc02xJPP\nwkXQnpNiDrC0BjesEXqXs8lHJDjfoN4AtIYoeJDEdgckJbu1lOJgYqjrmP9/02lDnb8UPE8uy6XV\nqzswtXqPxqrOX4poPP71nP17YQQBG1ugXDYomb22FgSN+2hWvt/V+l89zVGvbUCMFC0izfbvBkDX\n1jj57uhhoFLj3iC5DMROHXptAyaVgF7sUhFD8QbdbALnL3G+jfd8tnFVvQ6qNziGVK1CTI5DTRXh\nPH2R3QNKsVtEKfbDe3W87HxsbXHg1XGsK7HbD+3nQPhWhl/yRjebdp2Zyk7Q62N8jK0eYyLWayRG\nUK7BvXgZphs9589zaI3buM3CSvSYkBCZtLVq1XYZouOC9s4EzY38cu65HPTBGeuCFKter5LNbXaR\nhYovdluW5rFnIqVYwi6dbuCIPz9OIQ8NwL142Yt1FQKNHgBKRU6g9Nrd2muPcLdEHwhgm1z1uY+u\n7kTa7MrREba2qjs9sSCRy/XtyucnetrClqH8IgBQ5YotEx/9oWepeAmAYRdXuNz6i2o9i941+FIl\nAH5DWBy+++jqL70C539iD3fvqwQlEwBYaKB7eBrxikJuvgPqRNuGAoFvMfwS1dpaT7A6cv9MBs7e\nWeh8OuhLPTsJ0hrqTJAAFSm/0bVgfVy2b2qaTpszt73PlEqxsIjHIPbtgchm2JdOFE34C7XWlKUS\n5IyXQOi6MJvb3N8im+mt1OkhdboTDt1LV6BzDAXVK2tWYMjREa6s6m0IkclE4IqUTtl4i0gmg3pW\n1aoVGoxMC9w6Fr568SrcxWvc22OnDr2xZSHKACsH4ZwFefQwVyD10Di7te7UG5vA+CiXI7l8FaS0\nV8aEs8DVyiq7qhIJYIJ7tHdTeJN2+6GN63plYHJBI6JQcqEcHeF1RcQCfmXVPjPF4pzXEkpwAxBU\nbe1mSN6cRRSjcpX/vBwMeyweg2k0mMkKGUBlO26ARNs3DTEyzG14lzaBp85CLm+Bshm48wsRRKG/\nTkQ6zX1YDu6z6ymSV+AX+Bwf4yrDXikRnhgP7upluwPMjP196lfQ9feTuf84cHhvMNftTqSpk21s\n1u5E9j3gudL8QqAT45xz4iO8PLg14AnPahVyuLeKrY9Ysx+714Zf+ThURw0IoPC6Xu8tA9+vjMwL\npEhBTi9P6KWgm1pw+IlVuIVr8Zx+y+/CqQWAgvCkVl+5H2d//24svJrhlPFPPRYppUyx6xtnIp3u\ni7mW42PAwT1Qi0sWQeXnHeiTpxlV1CVolJ99TgR5+IBF+aitLa6ZdOshPs+ryOrXXXLnF5ix7dSZ\n0a1vBIy3Kx/AJul5TFqXKyCvf4TfO6SbTKPRU0qanBjE/DLcy/ORha/WN2B2dkDDQ7zhagz/Fcdv\n5Wvt1GyCovCDpV3kJ5KJZBJUHOL8AN9a8DW+VptjJ4mERSpBiuhGXFiOCEwet9OTp2JcF+rcRY5X\nDBdtfaPuhCzTakGdOgNdrXL9p7lZnmP/ObqKyclbD0HeeoiZvgfbDgeOAXCzL9dly3SMhZLPbJ19\ncyApuLx3iJH6TFgePQwzzainSL2ycOKZl+/jVxAOw4IplwtyQryeNGptzSpOztws9MnTvPYO7YfJ\npLiF7vyCtRRlqcTzQMQJfiuroKlx3mNbZZh2m5tNhfacWltjuLo3Fj0+DDEyzH1XJsa5erHH7JyJ\ncW6b225zaZKu/CZ68CRb8l6OCoXeLU2N2/fmV5sVuRxf31Ns/FL5ptMBuYoF3wgXWPSbvEHKXRMo\n/TygHhIScnwsooiF94kPl4+U4Ol3me6cqu77d/U66Uc30v3zRunmFhzJBGQuB/3ks/jUNc4ILz3V\nscct3lxIkDFIXY6jeEZBtHvLEHdnf/YrEugnA1IiAXHbLXBfcxeax/eArlwLsqF9E9orc0BHD9jr\nUUgDo0QCdMdRUKvNm2WowEls8Rj0xavcnGisBHnsSHQMmYzNyI1o+F6tozCFM9vFyDBMZadvTwAf\n0jSmi60AACAASURBVBvRjr2MWS5Et2GDluKOoxB3HGXGOToM40hgjDezWt+A9tBIfqFBALYUvb2f\nn9DnZ/LG49DrvbV7ZD7Prr1czha8UyurAaIIvOH8dq1+PxUf2NAXbuwxPssQx8euuyndi5ft/Sgf\nNHoS4QJ7a5vA2ib0SD4Q4Am+Zjiz3S8nr1ZWbZ8TCAm4Crrdsde2Q3Uc6FfdCfXcBeinnosghdjK\n3RPUhWo2LaP037E8uM8DSYS60RWLbIke3Gfh236QX1erMNc8RNZQgffA6JB9L2EwgBwfA8o7XOpl\ncowRglvbPclwfsAeAAwR3PkFrkCciHMvddeFHBkO+rgTAa029zzJ5XoCyX715IiV7ZcQ4QuwpVut\ncnFLv7yK4/AeaDThXroCU91hwSil7dOitraCku+5XCQJr7tQqk/OeAmdQ1O7l0R/HnSU7/raDRpv\nr+MpN7tmir/EPTlu3hgHAs3/wq/fhz+qLOBPbplBAo9yoxm/+Y8gbLz5BBpjhFgVEaQVgF1hd6bZ\nsr0YLMzXz8JttWCeeQ6xE7cDT54J4KYH94FaHajl1SD57ORp68uURw5yuQhP+6Gnz8D1IbDlCpxs\nlrXufB40OswIHoCZ9YbnG9U6aHaTSAAeUkqtbwDHjwBfeY41Y9cFQq64MNonTHJkGGqiCNnuREoq\nqLMXWAsSAmK8xJvN7UB649AkoC5c5oJ/XrkEPx/DNFvMFBD0rUalCkqnQOkU1Dz7xn3MvapUONdi\ndgZ6k91Stm6UkJEkOb/QoE9iZBh68RrEeAnaY2zGddEPyN4PG895FtHidrJUAmVSgbXmWQcmnezB\n5++86T7kPsZ5GuKya3N7jJf0F2Y4/dqfAlwyx689Bs3asLt4DbrZROxaGTrmQA6XWIgW8lySZCgP\n9/wlnnMP2m2L602WuGz6VhmikIO+HEKn+ZV3Q65XOVQAEgl+j0pBLywxxDWTAbU6Huw9z+8hjMrz\nyMlmYRT36qatcsSPHz5P7DSg0OVKTKdgskWImXHg4gKvh4tXAysA8MrLOAydNYbdokMF6Eq0Z4iN\nqRgvlhGC8rqL1yJxJL/Tohwdgd7ajuSFQCluAvU8TN9XbMTzaPp9czKeJ8+jOyXA5ye7jqmrS+FX\nSzdtAuDi+SXz5GdPgYaH8PenruDkH37J9sQOV690Zmdw+c17UDyjkPlIIDRELgdRyHMDGCl21Sj6\nkUinYY7uh9jmJkZydAQYykc0n7DQsQln3UJql89+v21KJuEuXoO44yi01ydB5HK23AAAz6/bttdx\n9u8FWm2YeoMbI/kBwa6Ciz7JoQJ0rQHTaaP9bXcj9eDZoCDb/r19O6MBXOnUXAq5r4SEMzUB99py\nz4boZqCRY+NjwGgR5uo125/dzyZW06MQ2zXoyywQ5MwU3MtXuaRIhRlGmElx75VMTxKavVepBHVg\nEuKp8zb2Qgfmelup+ucXi7b0CTkO5MR4JCDcnci3/eb7MfTHD0buh9EhYHWDY0t3HYN5/FT0Hr4r\npViAXt+0wiQMeICQkLce5HEKyYLDc93ZOWy1dq2Z1Lc/i8e4LIS7D5+I9Em/7RbQ2mbEBWaT++48\nZhNBZbFoq912a9EimQQO7gUEoJ96zlZfMK7LORnjJZhsGrRZht6p9fj95fgY1NpGZH05E+NAIh61\nhjwBYn3+UkaVLfTGGO1vhwocP3me3AiRTEJMjvetSCHSaS6F/3w1rHahfonBvScFvOO+77zLZo7f\n8cAxTB+a/Kqlx00rOM4+ftH8+C98GPOviWH/O3mz2szcXA7YN4357xiGSgATD7fhNBXE579iq78a\npWA6LmQ2A8qkQ13tSj3BVXloP8zyGpvy9x+Hm3EQ+8wTlskvvukAhi50uMtYF4nbbgF1XFBlB9oz\ns3W12jfrGAdmYU5fsO1rnbFRwHGgJodhHn0agOdWciSgtGVi4rZbYBLSMiVnbhaQEmZ9E4jHgqQ+\n8OYz9QYHAQ/tBxwJnYxzjalwVvTzkHrg5ZCfeyIYfzKJxqtvR+KTPAd+CY2eKsVeTkAYERPOdwAR\n51SEktFABPWqOxF79Mx1M3uvt2Hlof3cwa7Z6rFgAIDuvo1rH+VyoKnxCNrO38jdGd3XfvYVmPq1\nL/cZiAwsh2tLnPvgNUXqRs/IUolLr7sqck8AqH/Pvch8/HHoe2+DeORZm83dfR6I2C3plVHRmxzU\ntmXCD+4LtHh/iLkcW9CtlrXs/OO7IXxEJsNF/SqVyDrqKTPeRc7EOHSFQQHh9yfzeaijeyGfuwKQ\niChwcnyMrWQSz5uB3T0+SNnrOvKVsrn+3Rud6SnOYdqtXH+42kAfxi7SabZ+i1lQvQV9ZfG6lWyv\nlxm+27FIQmcX/6BYHJRM4Hc+8wsvSeb4zRvjMAblfYHQELkcaHTYIiP0U8/hv//E+3D7t57h1paf\nZ3cCV5H1Co5pxfVxPP+6HBmG6drUslTizGTPtwxBiG80IbJZLot+aArTH75ohYYMBYLlUAG0sgHq\nuNDjw8CB2aDGkwjaigIcKBblGuSkhzzRijOxiSDOL9hYjY82chcWOS4yPQVcWeQ2mIcPQLzsFpit\nMvcgyOc4EL6xyc1wJieYmXixBbeUgzp9DuYrpyD27dlVaPiam29FAUB8pRokyhWL0M0mEp981BYR\n9Fvo+uTXGFJra3CvLiBcB8wmyY0MszXhWQM2lmEM4ifZmrteEJFyWRsLiXzvOMDaBvu0R4MWrGpj\nE3J0hPvEzzPCRe/sABtbEXSZnJpgCysfLTw3+4dnIA/tt+vE1lHyEUMeeEFtbMLZN8dNnnylwSO9\nXYY6daZHGDizM0j/5cO2URX3MTGgZh9N1Msk12vr/FerwdQbNsalzl/qYb66WgVKRVvews90tse8\nZ3T27w1+U6uBMhxXU6tr9jx1jZWuSLVof5oyGY5fSGkz9v3KxlQsQJ6Zh9ouo318HzCUD+DeK6sR\noeHsm/v/2XvzYNmStD7sl5mn9lt71d339+7bt+7X3dPd03gWEIgZGEwYY00YydgWgSwFNraWQHZg\nDUYhJFu2sY0sbEyEJBQSAZYNeAYNMMwCM909vcx0v377/t7dl1pu3Vv7yZP+48vMc05V3e5ZmtDE\n02RER7y+91bVqTx58vvy+36LbYyLXBbO4nzIO50+jAAGGNUHCIAtzLo1DpUAbGkQ8E+BolT0RTXf\n4wTgtVqEPrtyk6yU30P+3II4RvTXbNlsEFRjgoa2iw69pt/7lpFZo8aTGzjiMYy/UqMHXwcLtU/N\nsOp/8gLu/YtL+Il/8rPY/x6NuzaNrsFJd31IonfYDGcc3S75OrdawHgJhz/+PCIbNaivX6Og8dFL\niD7eC8FszalC5PNguSxxKqo1wPUgExG7UKzchml6JRJQjoBqti23gTkO1FgCLJeBszALZ2HWLmQW\nIwFBd32DyigT4/AerBKya6IE7FQouBgP8G53iGUfWfXLR8bXI6isajY4d2sbIp9H68IsRC5Lx/lH\n6+Ari3RaMLyEE8eAURsbALa+TacNDcEdBZmVlSohx0zDsNUCT6XQ+eHnqHHZbA5lhGJi3IIEgvDW\n4OC6tAPA6m7Z63IcoJAjKG6lavtF7vqGNexyHzyCerhmoaFiYpzWUCEHeee+hSh7BhDxzDn0v/8Z\niJkpf/4bB7a3I7QDnLMwB57Lhubc/n3Cb74797TPSq1GAIfTK2HIZ6lIKLNOJ8QzkmthhFxwODPT\nPtTVQNC1ZIxNCLIZOrXqoV68qCdUhOZZdbtwlhYgN7f93+u1Y1nlBwf2ubPor/0GwElyXHzp6+jN\n5u2JE4B1TAQAb3MbyGdtKcl9+BjwVBjNZAKZtqx1ZmcIMh6YX3drGzwzRqeg8wQAGUSrGSi5avl9\nDjEx7kP2u93whv/c+fBzY+Z4Yc6HjBcL1A/Uz6/Vp9LIQoMQDSZGRwUCcQRK8f0cT2xz3Is7Fv5q\nhtlwqucU2EYcy/9sHa6RZjb6REsLtm5vewmm8RTIKpzJCdLzAWV/zeMFZH7vLbidDpzZGWx8YgHZ\nR3177DXH+6DxPNOKuLK+D9buIDY1jmmnieNyB2XZAAOwjxjuIoeHlRi67S71T1yXsqloBPLGHY3w\n0B7buh4M7WhGNqceOanpIGQhp4EFFqzHmyO9kfQQmQxYIUe2ooKgps7MNGH/jVNZrYbEagNMPzyy\nvgFRqdN308Y3rN1F79gkeCCQAro8tt+wyB85kI3ZU1c8Bp7NwF1b9zfAZhNjbzyGGtAHMhmbJVDp\n72f6ETyfJzhoMklBuZCFKGTBDtv0vbUAo+p0wDQCKthLYrEYWCoFJ5+D3NkbXfPerYbLOgYaXT1E\nvNGGNxaHp9cai8ehvLrd+Jjj+CWTQEPTrkGtQsyeOQdW0Yiochno94C9On3/oL/IiMGiUShPgUcj\nQ0rIcjwPXsyAtXtQW7sW1EAqsfr+RCOQ2zWCh69vQ778dojIGtT6Qq9vr91Yuxqf+BDp7fQK2EEL\ncETIloDH48AXv0Y6bhdOge/FbR/K63RofceiBHNOJYDrt8OIKS0O6H95bjW/BpvMlsRX34cnhB8c\ndJna6pcFyKlye4eCQ8A3x47X3oFn/GECPw+WxI60th54P3ut79Y8DxjMWSOzESX2b2c8sYGD14+u\ndUcbHDNfItidQaiIPDFSQ54cGnk1arhb2xZauffhORSu1K3pjDtbxNQfbdksnTnOSMamWZAZ1cUn\nnMf42OPfRV8q3IlPYUMKKDCcRBU/jHsYb7XwBczjd5rHsPqBDwKPtknsD5R5mM3JfB+bZddqlAk1\nCBopG4dUgksmSDFXL14WjYCdOQd29S6RsWamwbUKr2w0rCsc2h06OXR7kLWBXkGvH0LJsHjMBgXl\nunBX1xD1PHIHzKR9xd52hyCYnY5vx1oua0ZyDXy8BLm2Sd+x3yfI8YlFqLdvAp6kDa3RCKkCGzis\nEYk0iq+m2eoZxnI+B5WIgdUP/AZpJApwBjE5Di+fhtTBIkjyUt0uEenmpofKDpaXcNiEmCgPqwjE\no8DmrmVZ83jc11EK9F9EsQBo4T7z4JsAxcaSwG6Yjc0Eh7s7on9z8jg5App7aBrfs1Pg0Qh4sw1W\nq9PaMJ/b7cO79wiePi1ABw2DAGSOY7+nvHEnxBOyG2osShyQbApuIIkL9Tu4HxRZLAYvFQOXnm+R\nygV4NAK2MAt27yHduys3qUzT6YCNpcCUomu/enNI2py+kKASWqMBZ3Fen0ZkSNfK2hkPSJzbYMAF\n1MFBaPNXrhsKfMEA7UxOwA2ccI3CMhAGFZjPfi+47dDwwtfuBeTbg/0bm6i+j0ED+A4MHIyxRQB/\nDMCE4wyAK0qpnwz8zU8C+CsAzGz/ulLqN454Q4hcDrJWQ+tHP4DGgsDCpxvW59jd0Md8Xc/2Dg4B\nj2rGSnrDjb1gpM9TrbPwr94mb4XTK1j7WBkzf1CF93DN98DIZkZnFErhpfp1/FX2dXz1cBI/jw/g\nHssDXWAQL1pSLXwMD/A/4Yv4vbd28JvOebBSESqVAGt17KZnvg8Y8xe1lEMwT5VKgB00/cVW3wfe\nbIAlkzb4DE2l44CdXQHaPcpqBjOe2r6tCXvlHFRfQurAJMplgDMKxs2mH4hAyCdRLodOPbZBfXoF\namsvlHExx4F66zpYNAq2sgJ5lTalIB/EIr8C30UZMhdgAQbmd9bAiTGIuWk6XXV71iEOIKRPsAGp\n+j0KpJkM+VgY1dlSkaCvQgAiIIORy4LlsnCNeoDx9x4Uw4zFaI6khNckRzuWIkVduomCXBf1v53x\nEm16hSyg/Trs95qZhqv7I5atboJPsw15+x5YqRgKWCyZhNqpWKKc++CRJcypcgHYrRA5LjMGbO8R\nH8IQLCNRqKlxCMYgx3PgD7fAGockE7O2Ze+1uceyvm/Xqep24azt2ma+ancgd3bBlueB3VrI24bF\noiTD0+uDMUae6GaeB1B6PBEnWKyGj9s5HFi/PJ+nRCQguRP0Fvc6cihzD51yAyc2sxaCQcKuYZ3E\nDJ0i3mPY13BtRWDKfJ3OewYfOlm/O4nwmxnfcYEDtBx+Win1OQBgjH0KwOdG/N1fUEo9fK83Y07E\neixwV4HrhMLcBBNUeDwO5LNQQdOhfg9ybTP8hgZZcukM1D1NjGq14MzOoFcag+gAntnIJovA1ja8\nQ5J1ZukxytYiUfB8Fj/d/iouN+7gF1Lfh9uZBahuD6jVqNaZTFrOAk8mUUUS/2L8FH7/wU38l903\n8fflFn5+7QPolifhDpQigouVRXyiHRGmdE62swc1XgL01zMPm9dsgs3oJjdjRKDU7mQ8mYS6+xiI\nx8jPgzEq55jyRrXmW70yRplosYD+uQXwr94ASyWPRD2FzJAW5iA3tmn+Az0HsbIMeed+SG5dXQ2w\n8R0BtbYRQpyEAqD2cbe/Dyq4GvtdpeDef0gnpXwGTCooBNRxB9A4Fm3HmZ2v0KbV7li+gNytWDOo\nENQ6+G8hSJLeOAxGKJC4Dx/71+5Je6r0Wi0yd5qdAZptiHI59J2D/x4qp0m/Sc9iMXCtUOyurhEg\nQKPx8OY1wPMgm03wR+QOKLd3gO0diJVlONkMabCNxaDevAZ19Sac2Rn001FEtAudENyWg4NS/cxx\nKJiYJEcHU/fRqp/U6EAbagbns2D1fSAWg2p3Qmgob//AP31yYS0OvF7flgZ5NAI2lrPf3+t0wBHY\nxAP3hKdSgFJgiXhIZmYoQA1I4AMYXu86YJmgcRSKy/558HRiPOY97ccTCH7vFXy8VsuWLt+P8R0N\nx2WMxQD8K6XUDw38/CcBnAOwBSAJ4FeUUqGU/vYb99R/8eP/u62T8nQaWJiBd/3ONwzfM5jzwZvy\n4O+9gOQmw/Q/pVOLbDTAL54G6/Qh7xBChcfjZBN6qLP65Xnw+gHJfjeb+MuRW7iotvFz/efRyZZC\nkF9napLISwazn8vS4j++CLZdAaoV/OfiCqa7Ffwc+3cguQNngrI4k1kppXx9nkBv5iiRtuCD4szO\nQHU68PYPwmY0hiNSr4ceKq/Vghgvk0y7QTpNT9ADb3R+xlJAxAmdvHgySbDnwPWJTIau/RsgWJks\ny5mdQX+hjMjDHT/T1g3UIDzWWZwnkh78zciZnYHc3QM/tuDriA0M5jgQU5OQm1ujr+m588BrGg49\nNwt1cGBLgqMGeXozu2EY4udRn61cF+LMCbi5BNjLb/uf0yMklT2dZTJDG5dZO0MbS3BjTIeZ41Ae\nlXciEfIQdxywU8dp7YFKuKNQQdYE6plzxK8xkNPABmfEEukauO//cvE0SfAE1qvI58lgrd+zGyyL\nxSCmJ6Fq9ZGw6lFQWCMuKMZLR56k1dOn4WzXoQ6b1m8GnqReFmPk7xOPH1nyGSw/jTQuO2L+zbwA\n4RMM8C2WsY54f3lwQEZOl5efeDjuJwH85oiffwnAP1BK/UMAbwD47ZGv1sdSZ3YG8Dw6CXhypKzG\nqCEDNWiTNYoTxzD7xT4m/reXrWSBMzWJXikJ1ulCZMYoaMxOAekUvPPHyOfiAUFk2cwkLsf28RH3\nAf7r/vPonDoTChoAqIw0loIRnJOm13L/MR3vpYdf7p5FX0TxSdyCKBdJwiKmG3A6aIhiAaJUpGZ3\nhHwoDBnQmZwg/+pIlGraQVXSrW3Smur3CMKbTFKzOBoZyri9pg6MUgLbu2D5HFg+B+/OQ5qvfJZ0\nvsaLlBlqGCtznJBJjplnls2EHNzw/AVCagV0oPilM/Qe0Shl2GvriNzbpCw8nabyytp6KGiIYgGq\nvg95/TbUfb/p6tXqFGAPtLlVAMJpxBEBYm8PBg2zJnhXN09LRbhr61DSgyj4sF4juMiTSZu9ypIm\n9kWikLfuwlmYgzi+RO+jpUGcpQVY/4TN3RDKDZ4HNVmEminb8qBsNOxmantc9X0LkQ0NkyRMToR6\nMMoldrusVKG6PSohZjMABzoX54HxwlAyAVDD2iCA1BtXSefq3Iq+1oAVrhYXZVHiFdCLBdRN7ePS\nd31TNeMxk/INo1S3S2KaJmjoxISn05Qwdbu0trXIIgBrG2y8Rox/vBksFoOzUQWkB5YlpetgSdMz\nAIlClp6DERDZQc05FuCkWHkU/5d0sv3oZfr98aWQ/ElwDKEER4lFBubBjoHEUClFP3ufDgrf6SeO\nzwD4d5VS/Xf5mziAQwAxpZRdoduPdtX+boNgloKTvEa/j8/82ufw+782qvIVeM8jmJk8lQKW5sAP\nW1DVOjrPnwAAKAZE/+CN4EXBmZ6CnCqAH3SgElHw2gHgSoh+F7+2/Rv4X/E03hAzcGamiFh07hjw\nxnWIYgGHH1xCbK+HyK11P5sclKfIZZGvbeIf43P4G3M/gbU2LaRgRu8sL0JVaxQAldIic9I3YEom\nwRZmIG/dhxhLDS/cEXVgcXoFcCXU6gbY3DTYARkeGSSNWdhHEawA2nCZdmQUWkjuvVi0oaw4QMxz\nZqahcmlgp2ptYEd+F/hoH55Oo/uBE4jttaGu3SVJ+l7fKuEGN0aRywIzk8Ps8SAhzkjE66wZ0Ii8\nTmco+/eOz4E/2ICanbB/C9Dm4aWT4A/Whl4Tmpt3cZ4bRQwbxco3khzu+kYIUGB+F2SD98tJiC8Q\nkVNkMoSkCrwfe+oslbNevQJnYQ6qtg9MjZN0zqC3tzFHKmgxzRt3Qp8nJsat0+Dg4KkUKQdsbkG9\ncBFO5RDy9r2QvL19Vo4vhVQazHWzRAKq3abn++AQUq8nnvRLqKMUFIx5mHLdb0ne/L1sXtULF8Fe\nefuIFzMwJxLSovpG3P8+9lPfh4//1PeFf8g5sqU0JuZLTy5znDH2YQAvKaX+rv7/AgBXKdVgjP0S\ngJ9XSrmMsfMA/l+lVMiQ4PYb99TPfOQXwabGQ4vI+gcf4ess8nmC9jVbPsKnWIC3RJmyeuMqbY7R\nCPZ+kHDehX/+euhmml6CXYzHlyDvPYQzPYUPrn0VH8d9/C32IQC6fBKLojeVQWsyChlhAAPiNYmx\nd7bgPl4fWfLg6TQYY/iJ/VcwNpHGL1/4UQBA7JWbVCOfHAekFyqv8HQavJiHqu9bGREz5EeeRvSt\nB34TPdCTAejBVb0+xOS45rZQLJfVOpWhxouheTZe3+h0qXfDSVyOOQKIx8JQzGDZRN8X8zsWiZKt\naMQhhvVs2bLkB4ezvEgIrl7fylqEZKUX5yEHeiAAbZDetVt0DcGySqkIpbk7gyUDgy7iqRT4RBly\ndSMccI6CPzJGroatli1JgnO7GXkfesqSUc01yL0Kkc3SYxaoMbjBiTMn6CSje0Im4EEpYHsPLBLx\n71nwdQNB2JzabJA2arORiD+nuvRl1jkvF21PYlCGZhBcIibGIZd0D+3VK6NtVhEo0QUa6cE5tf45\nuSzY2BjxYPRaMvNr7+/AZs9iMRgRSwAjy26hz9DWvKrfCyWVzuwMnRxGlL/ezWP8G5IMCcwDc5wj\ny1VHlbJsgBlINP5t8Bz/aQA/E/j/nwNQBfD3Qb2Nf8wYewDgPICfGPUGbH4a2NoL/UwZw6AjGkVB\n9qXNhop5rH1vBvO/fov8yZMJePkMir9Nstue9iAwpRfjS+4sLcB9tAbmKTAh4OUz+PjafXw6cQ4i\nSxuPt7MHtjQH5nqI1SWSt3YgC2MQ1UPqzzA2vEloFA8AfGZ/Cf/H9h/h//yjGfSZgAed7R42w427\neNz6QLNUikT2TE18v4HIK9ehTi3DiUXhbm0PNdNsM8514TUOwPM5ePsNOPMzhH7RQcPKhGfSQLdH\nNXKDJc/noUo5sJZe6OZvAw+6RVVZ73FCb6kuwW75nceQ0KWnTtfPji+ehtrYA/JZeEE1VLsYGM0n\nFxCnV0JNd+/qTX8DC8o0xOPUOHYcsLlpiIhDJ5O7D3zIbbMJ3s/7tXoN6zTcj6GhlP2OpjypXrxo\nexfBoAFQP0Hk83QvA/dTVqoQ+TzcU/OUrfZdyHuP/CZ+fd9vxAfWAEAZrjjogu/VfCRYJgOlkVo8\nlwWbniC0nuHyrCxD1ep2k3JmZyC3yRDMazYpAarvA0pRsOn1IQ+bIaViFovZpjp9kCDhRui+3r7m\nAXHmI+RyaUL/AaQYoKVQbFBmHCo7RuXQBp2sebkIdhiHrO3TczcQNIxCciiBGNhgnaUFqINDW8sX\nxTzcrW2f3MfZSAtke98My1wHfh6NQEkxxAd7r/Fecuujrt287hs9nXwr4zs2cCilPjnw/38r8O//\n5T3fIBoBdip0NHUcgvLthzcGHo+DFwt0ZJ+coLp+YKK9ZhNgDLXLZZSu9Ik09NIlqEoT3rVbft29\nRUKIQa6GUgpydR38wkmoQ2r0RvaqOMXr+MUUySfwwyY9dPUDRNtd8PsPiUDlzQGeojLC+mYoaLBY\njDbcZAKq2cIeS2JPJbEc7+KOKIW8lUP+xp0OZU77DT+7bXcgpifsBuO9dZ0Cz0D5ws5XKmmb9kYd\n1QuS37iwmZzUvQMjkkg/I5c8Z2aakGOCE+qr1ToyC2OxmBUvtAz0YPmFCzgTZbi67COC2SAAlR2j\nMpN5sDw5xA53piYBzsE138Pew0PiNSgpfeb8oIwFtHrt8SWoVBzq+j0oKeEV0hDdMm3wp+kwHCx3\nBcspkUe7OOrxVq5L5aEB7S9nahIQAvz1a3qz5YDyQptZUFwQ8DczU+bxzPzNTRMEfSwBUc5D7VQg\n19Yh0mkwrfDsPVwLZeYqk4IKfJZXqdG6qu9Tr2b/kDbyoMe1lOETSeBZNE6HYnGW7o/hP8SiNPdc\n+Cf4yTIcweFubds1ZXuQmQydfvRmqgZO66pPMu3e/BQQmBuSuPGIFNntUpBsd2hNNptkaaDl+FnA\nYgDwTzQsFiNJmwHpe5HJkLowRvMpght8iIgbOCkdBWp518Y586HHIjMGls8d/bff5PhOb45/64Nz\ngrR2OtTwq9WGSj5eh/gPPB6Hu71jj3YsEgUfG4M4vYLHf+cFiL5C7F+/Drm7i+oZbXijpSfk0KZJ\nVQAAIABJREFUXgXOPDFheTIJZ3HeN4VxXfCtCp04YjFMbd5B1YvhoNIANndsFu+ub8Db2CJI7w88\ngwd/cQ73/vI8tv/8HIQ2/BH5PHgqBTE5TuzV+w9tqeQOK+BYZ4sWnCNC3y/0ffcbvqYW6IhuCYBj\nKb/p5wjbOA+9/oCChtXREcJi0kUmA3FyGeqpk1BPnbQlDvf0IkSJ6tCmWe+ub1Ate2vbz9RzWVur\nZo5jNaIgJdyHj4c1qLigDcqTQCJum4+WjFXOQZZzYO0w23/kxr+5hf5CGeo0Naf99zqk+2lcFiNR\neEuzdpMKXou8+wDs0QYFYqVIk2h3l5A5zTZYs+37jDAGVOr00lQKtZfmiVSpnf8AKnUFtZ0aC7HQ\nR7qbW7oRL6lHdOvukDuj+vo1ErQcaJyyXqBl6EnSNltdg7xxB/L6bTplRUkr6mApRa512XRIaUA9\nCgMPLAF1cR5qbdPndQSauHx5geR1zHUY/5liATyRIMTe9duhzdFA23mAg6DWt+BqS2T7d5UqgUDy\nWQIaDKgiBL+vrFQhdogYa6WGtOhk0B8lmMiodpsC9VjKD8CGs3RwQCe2EUEDgOW5HIXIUq5LZk8T\n42GTJ3NSYoz+HXTD1EOUyyPlTAC/BMejEXjtjvW0eT/Gkxs4ev2RWTMwjEjg5ZK/WJUij4KDA7i5\nJCZf7SP1f38VYmUZ2z/zIiY/82goY4VLPtSy0YBqd8I8gq1tcqk7cxy52RKqiFFw0m578IhUpM4d\nR+2lOZz4xWv44k//D/iJH/08KpclmPYSZ5kx2iA2wtr+XrOJeiqPfDZOMM++a4PM4FC6CW3F9uAT\n31S7Y9mt6uCQrjEe3qzMxmQfLsO+zowR1PbGHYKlvvaORbSJr98iaXpPkiWnkXko58LvG/B85sUC\nlSO0GqlBW5lhjaO6fSrX3H84LLG9W4fYrYe0lNytbbJuvUDfv/aTL/gvYMyqB9v38iRUuwMxM0VB\nZ24a/KBFqqyAnWOxQgFH1vetAq0xDAIA9+FjOjEZ+Q2DejtzAmx6ArG6C3n7HtSLF6EmivazwTnA\nBVpPL6D0e2H5HPd7L9v3MhuZu7Ye2jCdyQlaL56knlM8TqfQ3QDIQmskDQrm9T94Du6jVWQ+o/tJ\nrhsKQLyQh/fSJfrepkeyOA/0XetPAvj+HgCgkjHL5QBg0XrGQ9yiqQaGKJfDUNdEnBrxhp8Uj9Mp\nr9mE3NiGLBDhVhxfoqBmMvhAADHJi7WR5cKe1myADwxZ36eKQqCqENKgC6xfM5Tr+kTAI5wD7XeK\nRKxvzdAwAUPPqdG7AzSJcgD8MDSPnNsS+vs1ntzAEZCHELlsaDIH634mwNgMYa8Cfu4UOuMxRD9L\nqrYH58tIbWni1cCm7K5vWOLSoB8BoLOhtR14W7vgAEQuB/fRKmUKjIEl42C3HiF3pYpKN4X/ZuP7\n8U+uPo/SawJebgwil4W7ukFEvEAt3WbhqTjcbBLuTAH7L8xZwb/Q4AI8kaANQjC7UbgPHuHgLzwP\n96kV6htoRz85Uxp6vXJd6/wH+AtUVqrDzHjBaU6EsKZNQc0l1ur6XIv1jZA/gtze8R/iuVlw06A1\nVqkT49SzWF070lnNwHGHGq+etBpmpd/1N2P2lbdGvo/c3tG9lBY1YO/6Krx2jncq9tpNo9T74EWb\nFJhh1p0zNwssz0OtbkLeuU+IPMYQ2axbroSsVCFXNwBP0mm3VgudACN/8g5BZfVadJYXqYGuN2MA\noRNdUOTQazYhzp4kqHelCm+/ge4LJ8GeOWdfG/sa8UrMd5T1/VDGrOJR8C+H50xubhN6KRIdeV+8\nt67TaVRn1ySHk6QyjC5/Boc4c4L6UVpTzAQCFvX9NZyZaerJRKPWu15UG9T72N4LrUslfe8ZsiPO\n2gROHF8EoInBukQpclmC4usM39rrIrw5m8+l/9Gw3MBa56kU2GLYK35wDMLHRw0Wi9Kp6D36FoMl\nX+8IYdFvZ3zH9jjej2HqhSogsPZuI1hr7I2nMHazSs3wp86in2Ao/vEDeLr5OTSUGm5SaaYnS6fh\n1fex40YwiSYwWYKTTFAzUinLFpbXb2PnHz6HzRjHTMtDtN4m/w1PgXEGlhjz+xO9vs1wpnp1PJIZ\nOJs1sOmEL8YXhNN60mZezk4NyGWJ2BSLIfeF+6T+CtjvILbrQIlKEDZj3G+AM0blD1eSGdQR8+rt\n7IEb6Qw95J37vrzE5g6hfgLD2oPGYhCT43BXN3ztKS3uCID8ymOxd63vmgAnb98LiRMGh6zVwh4a\nJqM2Ut2zM3CnC2B7B2CpJGQ2BScSwcEH5pH4XUooeDoNlk2jeXoCya+0/VPYVzS8cgRiRx0cwJvK\ng+vkRuSyYPE4vK0dq0JAp4c8VDpF83bmRIigqNw+PC3TISbGCXate1XO7Az19qLRUFZslZf7PbD9\nQ3vvlOsi8odvIFg9l/X9IUQUT6ctMdP0fIKDL84Rii6ILgsS/gDg1SsI5uUsFoU8PgNnvQp12ASL\nRamP1mrBu33fLx+nUmSKlsvSaXVzSyvq+uhFc/2eNnOy/QGzD5iT8rEZOI934G0ExDZ39kjaJRrx\nfXGabYAzqGabErVc1urDMcbs57FEwncP1NppUIqCU5xUqvnqJqxwppmfd4FWB4col0neqNUhQIqG\nldOXGy12GALUBH9/lLXsNzme3BMHEELqiEzGz9h0fTzo8w0EmodLC4i+fA3Yq4I9dRbt2RSKX14n\ntFGnMxSETEYixsuhn6tujxq5u4Q+2eZpROChsLVKmk1BMTItDJf43dcw9luvIvXKXfCeBD+2AFxY\ngZibATScUhQLEMcWbJa70ljD7fQcVDyGsc++A75FWaszXhouy+kjs2q1QhpDYmIc4vgSnOkpAIDc\nIu9u93svg59YJpRGPEZzsFeFu75hm9/O3CxpGZWKlBUeXyKrVjOfi/P+PAsBkcui/9xJX8gOAa8G\nxqC6XciN7VDZxWRsRsdpVNAI+oHsvTiOvRfH0f6R58C6wzQgW6LLjsFZWqC1EHEs6x/QrPPX3oF7\n/yF6M3nw1S24m1tIv77mw4ezGbgPHyP5+n14x+Z8T++gBtjAkPV9uOko+EQZ4swJ9M8v+0g2AP25\nEtiz56m0do82bivZfnyJymanjvvy+skE2ppTBIBKg4UcVL8fKpEYuXKAekDvtWmpeoNOIeb/223a\nJE0vKhaj7/r8BVpnlRqURpN5L12iMpQmcw72XwANfY/FIGpU/pM1QnmxZILWkqndK+X35jwFtq09\nvy+eDpknAXqTFeGeTihwcQH29m149X1bqnKmJgHHofnp9anfpueL57KEHOt2yU/D+OWMpexzHywd\nmdeBk6e96pNfindISgIqKHaqFJUQNXmRx+P+SSXoyVKrQd6+R6rQBwehZOAodQJPC1YOjfcJZfVE\nnziCQx42wVNJyrY4NScHa348laKapytJyiKfgxyLIrHRpIdxcAT9exnzy1SatOMdHMDJ0YZnCGFv\n1ibwPe4j/D/NCctC9XYrAOP0N4UsOrMZHOQdZO43oRwOL+pA9Po+QqpxCFWtQaTTODURAd+RWK9J\ngJF6qpE2V0qFTkfMcaB6PSjPs8duZ3bGRx5tazLS+ob1cHb++E2wuVkqiUSivgAfY8DyPFitQRIU\n7TbY7ORw/wcIyWOzVJKy6bYLZ3kR3vYu2NQ43LsPQlkdS6fDYnJGrygRh9Qy0SjloGIRe5pQHV9i\npfQZKrWo6dIw0SyfhzrUsN9rtwg5tLHlJwR64wmeRiJb+0AuA2csBXcyB3FwCK/d8VVtNVxWgkpR\nopT3kVhnTvjfwbj//fGbFkkVOXGMIMb5PN2vdh9uOkZZ3cDGYLkyWszQOOdFqwG/7FqNYNVag2po\nMAYVOTpnDBI0+Y2ezayV60IdHPhzqTdBxRngulTi1T2MyK11eJxBuWEPcmdyAtC1fHd1jTSspgp2\n7rmGQJv7ZJBFrn62WKlApyClwO88gpLSOlXKG3eGG9BcwFmcIy+eSpXm0xNA1LEBRWm+EABbqgU0\n7D1BsHqVjAN7NaCYswACO1/TExZ6Tl4svgyMrzPlo/oAHxZ8pAVt4L4rb3SAF7ks5H7DIsGC472M\nor7dIT71qU/9mX7Av6nRaXY/tXh+Hi/8yHPgiQRWrz705Z49LyRWBoBOIeUi5O6elbtm89Nw9hrw\nbtwFpGelA5RRF41EwTghi3gyCRaJgI+NEeFN6rJKuwORzYBFHKjJMmqVFv5S52v4NI5BQcGZnoTc\n2wOLOOC5DFQqDi8RAVMMEBzOQQ9iY8+yrA0JC8qD6nbxH+Ma3pg4jWu540AqCc4dqGYTAD3MvJDX\n/0/fG54HHo1a9zmvcQAODtVq0cZVzMBxYqEHwzMyEY4Am520DWe1s0fyIL0eva8rwWenwQt5cMWg\nOiTwJ3JZv8SmNzpWLqE/mUakq6hkICWUR5mZmJwA0skQAgfQhLxuD6rfh2q1oKr74JkMRDJJZRvt\n58FTSYJWt1rgbcLNG/Ib3bdI6LTXOz8PccsXmjN/6zXIPlfVG1CVKlSVtIwcJSxiCtC2oqYsor1Q\njCkTAMiTc3RPH28NZfkik7EOefzYAry1DaitXXQvzCNyfxvi2CJ4qQD3whKiLAo2XoIYG7Owanbm\nODU/Ayx0AOClIpVV9ObuLM7bMkv3Y88i9vZDKE3iU72e1bRy5maBZBxqr0r8mkM/c/U+9BTEXkBD\nLZ+Dmp9CPx9HrCkBz+eoqFYr1GekidcBplq1svaiUADvuvbawDh4Ik73uNOB6vWorr8yDyeWgPvw\nMUSpRCWzfp+CYKUGLhyIEnF7IAkhRetdnyAllVbpi0iIyQl49bp/jZ4keR3u2CY4cxxar90e3Zdm\nE7zvQnUocTElKa9xYOdJNZt2fwAoWaMeSPjUK0pF/7kcGOS4GJi74JoJerOY3oWURNCV3shT5PM/\ndBk/9tc/ged/+BnMn5lFpjD2CyM/+JsY37HM8W933H7jnvprz/1c6GfvKhfAWDhym0yl2fJPEhpS\n+m7a9kFJa+Y4esN1rMIslML/yP4UX1GT+J3MZfBshh4CveDV2WNgfQl16wHUxRMQtSbc8Qz4GzfA\nF2bh3X8EY9J0WlXwd/AKfgp/Ds0MNbOZ4FZiZPB6AF1emJmizzKCbmZ+4nEi9jUOrLyDMzdrfbhD\nzF0tUMgYgzq/Arx1C+DMQldHZVKGuc0X54D9Q7B0CvKxrwEl8vkhro3x+gaAwx9/HmO/9epIUUDD\nWTGsfneZSm6i1SNpj0A9eUhWpFQESyTQPTYO55VrpHdkfBsQZoGbur+zMAdvrxpWB9CnJnn5FCL3\nNqH6fXiHTbgvnqVr7HlgX3krxEMxZbGgLalVLMjnUfvBk0g/6lDznrGQPEbw7zs/9BxSX7lDnhkj\npEHEmROQGV2CS0bgfP5NuB+9DOfzb/p/s7JMicuIfpC9HwOkMmdyAl4pDzxYBUsmaZ0EJNQBKq0i\n4N9h71kqRTDwaJRObmYveu48eKtPsOFq3X6PkUqyXFAlYaC3QvbKHtjyPOTNe74agJZwGSktYhSz\n9e8G2f8GiBDy0hiQqg/+3PzM3u+jzJe+2Z9/C8Pct38bmOPv+7D1yQGyGXMc8LFUuB7tSXhbO+F6\nqSfhaQn2IfExvSDtkTyw4QKwNUvn2BJ+uZnC/7zzW3hHLePO2gCM9LBLiKRTy2A3HgLxOEQqTmgZ\nwemhdV2kVQ9/E6/jH7GncIAYYCQiMhk6xqdSITityGXBCnmogybJhhssOGMQ42XihGjeRIjgt7vn\nexMEA6YQlPUDEPfXoQQHSySG0DTm4ePpNB33hYD3aJ08EgYDsGaJBzcn1nHB9eaY+fQVIq0FGb7L\ni/A2tgiu2+n4JEHtzsjSY/q9R0tMiGLBL02srtmyjPt43QYDGzQW5myJa3ADs2irXBaqJ22j31le\nBF+ndWV7Ooz7DOZASS4YEEW5DG9+HPm3a+iXkmTPohS8die0KZl5in/6NaBUBL9wCm46DuduWAaD\ndXoQu/remO8TDBrFArwHj0lP6uJpsPUdO2+yUvUlVvJ5yKVJMOmRhLr0LNfCuN8NqQxLqcu3Tuia\nAQDZNLy1TRjhTXdrG+L+BtyVWbBXbhKn58QxqHgEajUMRTdJkXdwoBnlMSoPz81CJeM0lwPXYhwp\nQ0oM2mNF9Xt0Omh3dKIRRmYq6YX2EJ7LDgVDs3aDgcTI1htrAq/dDsuiHBUcvsWgMUru5v1mkD/R\nzfGjxlA9UCuCWqVNk1m0WvAOD32PZU1gG4nmGSDLqXY7ZG4D0KJqrZSwgTH8SunP4RcPPotjqm5f\nwxwHqDfA9g/Bd4iJK3d3wdaIIevdoc0prbr4e/hTvBZfwp9iBmJl2SqqGn0no0jrzpXo+whBshT6\nmmR9n5AzkxNAWtu97uzBOzj0m37NJjnABYhoZniBno/hWwSDhoHayt1dOnlNloHdmi4b9axiqzi+\nBHGWCINW2fXYom2Me1dvkl9DPg+ez9FDH2iqe9u75LNQ9ecRILCB6vXI0jOTGclrESvLaD1H6Cv3\no5dDUGN4EtgJ4+PdRwRqMKAEOwLrxl2cgIxpKflcFu79h1Brm1Brm3YdyN1dH+FjOBCTE6hdLkGc\nOUHKrYUsDo6lUXm6gMiGRvI8cw7tT1yGOrlkP5olfFi2uzIL78pNODcfk81uABYq8ykK9IENLUgk\nk5UqbXhN6qupyTLBsvX1mROc3N2FOOiAr+ka/vx4CHQyckyUIZen4T13FmLWb5J7zSbdS8bALp+1\npSS5V0FkU5tluS5YqwN+0AbLZ8nyWN8nU252lhcJjaXLRe76JtSjtTCBdeDaeDptOSzGr4c5DqnI\nCkFWs1puZjBoALSHeNPl0GfwVCoE2Q1/3hjEiWMULJSipvk3MEYp8b7X8EZof/lv+G0fNgA8yYEj\naEkZIYx3EFNvf/fsedu8HBnhFbkBigyRitytbdKhmgpDSVWzaVFFAGjxaa6E6vfgzExBuS5in78C\nxhi+LObxq8WP4h/wr+DfizwE141sub0Dd2MTcrLoS0O7LvD8BfBiAc+pTfwqPoevYxy/2jlhr5EV\n82DFPPUUxkuEPml3Ie6uE9s7EiEZDD0Hzpz2fd7cstmy6vfQf/ak3zifmaYsN5O0qBjzOpEZC31/\nZ2khPCfBWqyW7JC7u4QIWlkmtzpQpu7duheSEEGVgrgoFW2WypIJksWenYb64CWIsyfpljWb4OdW\nhqS+zX/gwup6Dd3a1Q3E/jXBamPXVtFeLlDQ1cx1eThcg1b9nu+jbYYhLhby4NceWH6DCYQsEQdL\nxOE9e3ro/bwPXgBAUOTClx6j+lQB6qAJ7/5jKA40ZxhUSmtMvXEVqbuNkIwISgUfvbavN95KlYLc\nwQGxqMtl8HYfPJ8DD8hOmOsTJ319UJ5Og0kF3gonR85uw+cN7VQoIB9folOHmXtTDhqwLZC37kLc\nfgzRCtf5jRe412yCP9oKeXgrfWLk8TjJoh+2SC1BI4zojXVtf7+B7oVF8PMn7XWwpTlSLIBG2wWb\nza5L/aFkkk7yICkS5bpQvR4huI7N0ednM2RrMKLErb5+zfcbAZEAPW0vO5hcyL0KmOvLxJs5Mz4c\ndk4GwQxqpBlueAwEg3elHrxPrYknt1TlaRy1ZobKw6Y9ogP+8bSficJ5k2q6pgcyaMiiul0Ee0Fe\npwO1V/Uz8W6PECgA0GrTYtCL0wxZykLoDFjOlMAPu/hy6wRuVTz8DVzBx3ALn1bL+BPMoqLiUG9d\nh6dLEqlmD8+9dRcfb19DGW3893gWb/MJ6jN0u/BWN0KKnarbo4egUgMkNf3cuw8hlIJcmgSfKqJb\nSEJojkTjk88j8y9fBQBEXrsJlUrR9zYCgrVDeLU6ZdT6NSHp74lxwu83W77USFCqWz+cLOKQuq3u\nWThLC5RlZsZ8f/bLZ4DH20MlgPbpKUTWN6g5OpYkmXzz/o0WcPE0vHdu0wYhpcWri7EUob5GKIUG\nT45yZxfRP6xYbSO5VwkjsUpFgPGjjXySSfudg6KFgH+q4G82MfTYBhR53fUNjK1PQk2XwEs5pO83\nkf7Nd+DB7ymZspA5XQZ7PfL6bYjTK9h5qYTxL+9B3rgDbywJ1mwDa1voPEv+GHyxDP7lt8DPnQI/\nbFlrWYACNNuth/piIpMh2ZTpSfBeH+7aOvVySmlgwH+KXzgFtt8E7/Xs3NnexJVDeAMbOBgHT6Ug\nq/XQ5m7mzOt0iCMxauPudMHmZyBv34Pz+SpYIDEMovuUG0gItW6TrO+TyRpgS2T2foDWlAdAVkcT\nTE3pDgBxMzzflliUCrbEHSxrG42uELdp0LgpFgtxo1g0enSZyfRA/g30qZ/cwAG96AJEOXABxpnV\nrhLHl8B3m3Yxs3g8tECDHgBesxVqVql+LwQzBRByswvyJ1gkCrFTgypkIXIZqNuPIQ8OIIoFbLIx\n/PX+iziLPXwC9/BJ3IQCsOWl4B0yFNBBDl3cYDP4dOZp/GljDJJxOgmcXQa/coegwwtz+qI5pIaI\n2ibw7Xv0oG/vwOEcXq2OWLFg4aC56/vgmlRkVHF5Om1RG+7qmpVJ9x6EG4NeqwWvUiWHvEbDnkhC\n90Hb38rGIZz1Pfu57oNHpJh6YgZcP+f87howXgQvF/zaOYDI5/x6PK81/F5SQDRPHF+Ct7oRUvYV\npaI9uqsPXkLk/lYYBw9AfvhpRK9qvkQQTaYltWWlStLmJ4/7/YGZaRw+PYuxaztw7z8kCHSrBVEs\noBt37IPFUykrs8HnpkPS887iPLBRB6Ym0F2ZhPji1xC7t0Mw1XIZOx9dQXLhAxj77a8SF6lYgOcp\n8EJuKLCKsyfBmm1C1gAwYpOs78I9Pg32ytuI/AnJh4i5abgAvOt3Qhs5AArk2vecZzIUKMeLcAcU\nh9nCLJydhiXEGr0ldtjxnQ0zGUAItE5PIvpoFeLkcmhDN4HZOPxBkkgji8UgyiV0TkyG+jBgjCDS\nOkB7nQ6gTx8ilwXGC2CBjdiWA4PB3vO9X4ycDwbKRiFlYQMy0ZBcee0Wfc9IxPY1B6Gvg+vLXr6W\ncze9lFEl78FAMshBCXrAsGgk5DQZBH38WSrjAk9y4DDHt5AabgyeVssV87NQnMO7cpPgokuzwOrA\nDZfSXwSeJBGyAfGz4FDdriYXLgJbu7Y2D8GJ8KcdyLyDA2uLacY1VsI1kGbW5GQGxa0HENk09iNj\nWN3rgc0soz+Tg+dwxDYaVH+/tw5pGtfrZB4eXCyq36PTQACK6G5u0THa83yDmuv3oHJZKoe1+/De\nvjF0NPdaLXA3vMmwZAI4dwzqtXfsw2xPGozBmRiHnBu3xkV467pt3PNyEXJ9i+7Fq9eAZ8+D71P9\n10vGwuWYgeGub9CJ8eQcpOsBmsQsR8ipe/V9mgPXBbu3OVxmAhCpd/wGufY1N0NWaxZJJW/d9XkF\n6xtINg7gLetAqcuZncvL2Ho2irnP688/fwx49crI6wsmHkIHwuaFKTQ+PofUjgcZA7JfuEscj3IZ\n6uCAele5jC9Nrkd3cgz9dBaJ33kN47tVuKfnwQASVwQgQWxzANZTHbnMEDrNlLdUreYj6YI+K+dO\ngTfbUJ4X8t3gl85Avn3DouoAfxNMvHwLKBWhonq7MQTCsZRtqLuPA6TK+Rmoah3xW5tQxQJl/dq9\nzgs0tYOIwf65JYiuHArOZgxupMxxCPwCDDkkipVlYK9me3aDDHpP94OCJSJnatIq/NqfBZB5gB/I\nzOkx9Nojgk1oBPYySo7MiUZCHF8C6/r6fMp1KZh6ivhcBnUmjuhDfZPjye1xjDq+Gall14VbStta\nae8SQWAHxcKGMgItXcIiUfBUiur6SwvhOqUnSbBOL1Kv1YJ3cAheKliGKo/HganyMAP9xDE401PY\nY0lcYyW800rh8fIpqKfPQSVjEK9eR/TVm5A37oBlM2EdnoBuvyiXoV68CIC0luReJQQNVJ0OsYrn\npulk0e/Ronz1Cry3b9j6rDM5QXLSsRhJrc8UQg+L3KtYr20g3GyFUqSV9Po79Pka4ulubYMtzqJ9\nYpzkHXTGKfYakLfv4fBsCfxeGLEUZJDbaT5swtmq27IXANtTCqqFEqGuY/tTo4b31nXK4J45B7U1\niPRSPv4f1HQ38+MdHFgXP1nfByIOYluHSG0o2+8RD8Ibgvehp+y/WSwGZ2oSzuwM+MXTECvLSN6t\noXCrC+YpHF7oovEh6j8wR4ClyLEx2L8D6NQVe1xD4ndeo2up1cjOljH050oU8LRlrX0uClly6XMc\nIixOjNs+VtBDQ2kJFDMOTmUhC2NA4xDNH/uAb/S0vgt+9iT4WBiEID/8NJXU9iq+46Ep6xhv8VwW\n7GltB+w4QP2ANrpMCiyThijkyXlSD2MdLKdoXbBIFOKr18EfbIBp1Ntgv03MTIWuS7mu1e5SA1pO\n8s79ENDDIOn899PbpjmNzM6ge3Lah3vHfGDCoE4eAPBMOvzsx6L0XA30Kgb7H/b1upQM+HuUvPsg\n1CMyltOyQXwfeyp6n8paT27g+O747vju+O747vgzGU88c/z5H34GALB2e9OyN/m5U+BruxaaKPIF\nqCsB5i0X/rE5mbSvU50OZRPJBNDvE/rIU5bhGhzmNSKfo7+Nx+FubEIUi5DVqmY7B8pBjIFLOvWY\nEhbjHN7cBHi3D9bXvBKlID90Cfj6AFNY627xbJa+133ts6HLUea7ePsNyuZME19nXL3vOQtxTzdE\nFSDmZqB6fcitbYgTy0A8BrFZsZBHkcmEsiaeTtO8GI5Cr2cZsKJYADuxCLVNboxqtwJxbwN8aR5C\nC0Aa5nDk5jr48nxIDt2y5fUQ5TKV0hZn7AmBnzsF1nchJsoki1LT8NznL6B9ehLO7bDyqMhlwRNJ\nC+lU/T7Ybj10nfbzm00i/O03ILSFLotEwBfnoKo1OHOzYJNlsqXd3kPirbUQkzg42KN/gMKPAAAg\nAElEQVTACURK4tpk01DxCHB/Dd7WNvjDTURurmOsO4v6ioPslSrk8Vmou4+g9qqWOQ7okkulCtbt\n4fATTyN6U9/DTd2LyWTRvbyMyHo17C9h5tfziHXfbNI8ex55sn/4PGIygv6JGYhWH4xzqHYb0evr\ncEQUyGcQe/sRlfJmZyC3tqB29ohVnc8Tiz+XRX++BHFvg/zuu70wuqlLz4zqdIHNXTpZrixArW6C\nx2NgYFCNBvXtHmtzslQSHFT6daJx8ESCrt0lXS673iOR8NwvztB9DTzb9jrMvpBK+f82To6OE2LP\n0wu0eGkkCq4Rc87OPlS3T6z3dhuq1yPVhnIeasAKActzVtEAoHIqi8WozKfg7z2JuJ2jwes1bHRn\nbpb6tp1u6PuKmSm7Rp7/xLP4sf/qh4k5fnIamWL6u8zxo8btrz9Uf+3y3xz6uTM5ATiOr4j6/AWI\nu+tQ7Y5vQ5pMkhqnIWYVC5C1/SG4ruV3jJfgbm7bxjuLROln6xu+x3k6HdJyEhPjQIaO/NABI9i8\nD13z1CS8gG2nGf3vfwaRP3xjNKNWD9PAC44gWmjwZ8xxoKSk+uyDR6SfpRTBLzVBzZmZRufkFCJ/\n8jZYIgHVbpO0dSRiF715jbkGtThjy1W1/+gF5P/pK8PXWi6jf2Z2yD41NBcz01oIsac9FxZDvI7u\nx55F8vWHYcbvhVOAR5wQnk6Dl4tQtX2fLBiYo0E2NYAQ0xug9cASCdvINYZW5vq8+j4pMvd7VCLS\n0E7cfQyWiAOTZbD6ga3Pi+NL2PyBKUz9xlXbF9j76Rcw8YUd+92CrozB6xFnT5LOWNC3PZ0m8cW1\ndfS/7zK6eQfZL963hFB3fTOAACoOlWhDLnQDTVyzjlVEgNcOw+g5/beDTng8lYJ3dhniwRbUwYGt\ns3vNZqh/YNFN2i4ZhRzk7Xu2Vs9KBXi7FVJbaBxQn+D4PHDrAQFEFudJYThg2+odHFrbYkgJls0M\n+fRYn/tBpvjAz0WpSHIyA/0lAP78B+5DcG6DPRZjS2t/N6BkMOr5/GaG6Z+yiNamMwrD0Sh+5U9/\n4X1hjj+5papA8ylkUpOIQ25tUwPwhYsQ9zYpyw/cKK/VAhtL+v4QWhwtSMYx3hWq3yOPjmgEPJcl\nXR39MwC2tqrabag1P9uU2ztg7a4P6YtEIbIZKI88m4M4cHdzy394n7/gfxfjnz7g7MUch7gO+TyU\n9AjLn8/DWV6kh6vdoc8L4PehFHk0LC9QXV9w7ZPgS66YzMld37Cbq6fVT5HLANqv3N3apg3SfNf6\nPvh+k4L0xPhQ0BBnTgCMwWs0wL/0dXR/8Fk4szM0D1rF1s7F+gb5bOzuQn7oIlQ0ElKATX751hBk\n1rtyE+zxhr1ewwcIXp8Zzhe+NsRDQC5ca5aVKkFS02krVBdC0U1PUBMbmuQ2FoMci8FrtQihde1W\nCO6qUnGM/6OXgXHqFzgz0xBdEA+nVCSHytU17P6VF8CeOhva6OW1WzRXp45DFAt0Mjo4QP2FWYgz\nJ9CaiCC13iHXyNU12jQ9CWd2hhBtgfdijkMZdqsFkctCnF4JBQ0xMU6k1Bt34F25SeivgX6SQQ6F\n5r/ZBF57hxQEBhwYTdAQpSLV+gFYd00dNGV9n1R2a8SncNfWyc+82YS6fs9eo0olrHcLAHj7BxQ0\nymWSYGk06JozmbBqcK9Hc7G76zfuYzGwRJyeEYOUTCT8fUX3IwwHzBpCBRLx4NyGzN0ePIJqd2yf\nYhCVNSpoDDlg6mGT18D3ZlrM1Wu1/M9Viqoi3yUAvscITFCI8Vkhlqj7aBXs1StH604xBlkLs5F5\nyieSDanlck4LtRUuq8gtsnfl2Yy1mLSsaH2UlHsVUuU09rZK2dKNMzNNzOrjS2QnulYBi0RR/0sv\nIHF1jbLL8bDpEkskwF55B3K/AdUje1hZq8Hb3oWq1iEKOfq8AKKGT5SBnar/sN59QGzcwNwFbWeB\nAQTXxjbk+hbw3HngufOQ5ayFCDuL8yRLfu2Btbu18/Php61dqDm6J750zZ4IvXSC3jMwzGYa2W3B\nu3oTLBZD7weoJDkIZzRN0iFDJ1BmNwQfVso/ieTzMLawFu4MEHLu5HG4F48RpPvCKXDtAgjPg0pE\nUf+RCyQ5PzUJ9vLbltdh7r1p9opcFnybAn/jIlnSqrEkSv/fLTSemUHr2WVyQbxwClOffuyjzQIJ\nhLu2TsqwlSqqH6SAMPbbXwWr7iN3uwk3OQyedNfWRyooWM+T+Smww3YY8BAAX5gxuDkaZQBnomw3\nZ+uUWC5DaSOpwc3ROzgEur1QEzw4RC4XCvY8ZYh7/mYor92idaP/X/V7hL7b3Q2dEmSj4QfHXNZe\nNwAb8AkEE4GXDDS2PY/g/YAfIDZIETeImAJoo2exmFV0MNIpPJWi69OufO/JDDfkwkAAZ5EoEX0z\nGYucDJ0aI0eAZYPgiG9zPLmBI+ATDdANFSeO0aJpNumBHQuzn01UF6UibQCDTlqHTX/TH/TzbrXI\nFzkatn9kjEpPqt2hU4QQYGMp8EtnfEe7wQxX22+ySBTuxiawtQvmUj1cbm2DRRzk/tkr5OFwcECk\nuHKZHmjtTyzGUuDRiL+gL50BG0uRJEkmHXr4eSpFcNNdXWdmjI67Bu+uGb7wCC0kzp6EMzdrN2Wb\npc5MWutY9fo7gPRo/pVCpNIEFgidw5JJi9SJvH4rfA9SKVsmkXsVsIcbYG8P6A3tVeA+cwpeMkLi\nfbUauehB8xliMS27EkXr4hy8ly7ZOQ458vX61uPEyoZcPG2JnUGf+s7xcf/vNHLO+fodyLsPsH86\nZ0uQcrYM1u4h8y9fpR7RwGlQ1rRu1Y071JfJZa3MePbNTbCnzoI1DtH4yAoaC8Iy2/dP58IKq69e\n8dFd3/MU1AuEosveaQLn6CTZfGoejeUUvAi3qKkhXwz9vcXZk9ZS2JmdsScKcxqTH3kavQuLFEj4\n6KzVBohcFrJas370JhjJ3d2hsqk4vkS9BU2y9e4TfJUnk2St6zj2ZMfjceJQaJ0onkrRhjxgewul\nLCIpiCYMeYwDQCxG/wWvp+DbLqvMGPjDDZt0qF5/KAGR9X0rawPGbK/T+PbIRsPqi2Fnj67t2CK4\ntkI2qhQj7w1g11+wAqH6mkisr0Vu7wDPncfa334RgD7FcTGSU/V+jSc3cJjMyTSGi4XwMbK+DxaP\n0wLVxzwLbdurWPy12YR4KkUCb4MWqYHhtTuUUQcWMkskbDnD3dqG3G/AfbwGde0uKcECNpOy2Uc0\nQjVJQUQ/FHJonZqAu7qmYYRdq5tFX5L0/+Xurm/E1GjYerMzMw3W7NiSi7dNwABjxMNLAcOkiL8Z\nK9clfHg0CngeHfU3tyCv3YIcz8KbKJCcRT5P9dwyZdjO1CQFo7V1dL/3IppnJ8FaHahbxI+Qu7vk\nyZHPW3KgHUuU2VuYZzYzkjcjXr0KZ70CN5sIZany2i2b9ap+D9HPvg7x1et2jr2FCTvXrY9f8iG6\nwaZtxBnS53L++M3w3yllrz1709ev4o02qs9RkPFarVAZwllaAD/vGy55V2/CffgYrbNT2P8Pn8fG\nx2ch9vbhjefRG+PgOk6Ik8eRu1IZqq1bx0TXA+/Qeuf318Hb9MJ+WiB7c5+sZ7d30F2ZRHclLJVj\nv8/GDmSaBA5HWZiKL3wN4gtfg2wc0kY5MW5/Z6V1TIAIcJ1UvwdRLg29nxny7gPIi8f93pDuR3it\nFuT121YGxFjfyu0d8FgMzQtTxNh2XeJLnT0Zuia72Xe71Jhvtek9TB8znabN1/Th9MmAyL76NLRb\nJW+TyQkKhru7BJk3m3hA/4ppYIhyXZLK0dI1Rl6EFXLwmnQN8u6DkOukgSvLvcpIb3Iej/ve5YNB\n0ozX3sHsL72sL4aREoGxxP4W9K7eazyxqKrKRu1Tn/2NLwe8FRrW34FFooAnSfSt3yeEUbEAHokM\nb1JS2vIRW5iB2q0MfpQ/DKtcZx0ilwUEJwSEOaEoRSTAdhs8FoWYmSLGun5AANhyly0bVGuI8gRJ\niJj3KBUhR/ASBol7olAgGQnP8zWpjCYPF+DpMVtv5+k0ZLVqETeiVATiMXjbuxBTk2DjRSgtJih6\nEt6Dx1Y4j4FBPVqHd3hInhpzM/BqdYi7G3DubBAiKZsBX5iFMhIc+t/BTFrt7Nk5YLEY2NQ4BZ3A\n3xCrXesCrW0T0mhiHDi9BGyMaFwGNJR4n1BE8CQiN+nhffTfvYBEfArOXUJFqWqNiIOnV8CLBXu9\n3kuXyFPDXMe5U1Dbu1CbO2CJJM1FpYqxPddHn504Zu8bTySAWMyuIeY44NEooj2OxFuP0VkpI/al\n61Dbe6h9/zwa53sorebhXb0VQplZpdnnzkGkM2CegpuLgz/chCgQ4VTV6kjuKzDpgXEOPjMJsV6B\n2Gto9VceauK2XjgG5/Nfg3CiYLGo/0zMz4A1w7VyIIwWs4jCIKltdgYsEiGDL+GQ90cqBZ7LAX0X\nTAjqC64sQexoiRNjDDWoPJ0eI7RWsQCeTEDW63DubISeVSEIXSbyOYvCs8ioeAxYnAGXdI08mRx6\nTlS3CzFeBkuQOi5PJsGmxqEqVXiHTZ/r0WjSs9rvh5CXslaHkY9RzSaBXDxtpKYUkTETcTBOpz+e\nTlNVo6ff1/OIjKs9NZjjQIyNURJklKIdZ6SPkOlPmnUlzpwI71OBpOjjP/V9KE4Xvm1U1ZN74gBl\nq0M/037Wg5aqslL1JbhNg0w3C+1r931YnskmeCplS1w269RZg2wc0pE9wBB3JifouK4U2Nw0vL0q\nNcoDnxMkvInTK7TIag1idieT4PE4Oicm7HUcNZylBWrk3n9oNy8WiUK9QPVx43bGk0kLcXUmJ/zr\n36tYaKq7umYDj/FXUB+85JfujE3vS5fgvXQJvRkqDbFn/f6ErNXQm85Qs35i3O+xcGE/MyjC2PzY\nJXhxh9A3M9P2d/ahD2R8cnsnRAYMDlPGUa4bQtSwZ85BZDJY+G9fsSWhnb/6ov+eN+6E+kCRm6tU\nznnuPMTJ4+hNpMBPLNPfGimS5UV0zviEuSDiC5xD3rjr2/e6LtxnT6OzSGid7IOunYP0Iw+nfvYW\nxH4T4uxJVP7TF+wpTIyXwRfn4Dzcpkb12zcQu7NFZcpaHe54BiKXw93/bB4P/4Np0u3aqcCbn4A3\nPwFnogyx7J+o5F4FqSubAGNw1zdsvVxWqpC37g4TYZ87b8U8zdo3jV6T3XrVmoYtR/3TXrNpbZRV\nv0cEvPuPAUeXy/J5+3pnatIHp5jyFhfAZNn+25SUWCw2zIjmwj8B7VWAO49I/aFUPNKTx11dIz/7\nFAkvDrLqRbEAXDoZAn44C3N02uBCw88pMCmXUGVcI9lkfR+yRmg7d22d1msvUHo0/QdPWifIIR0r\nQ3AdIByLfB7Y0cne6ZVhWfs/g/HkSo4AI2FzqtuF3NkNNXYN/M0iXczJIdj89RT5SQTY56H3iMet\n1Litq+azUL1+aKEG2ctBaQvluhb+FyyHefcfQ0xNUN+hSiJ5XrdrSydKksNZ+6O0Qcd+/3X/syay\n4Jvb8DrSLkKey0K9/LaFAJqjNeIxYFczuwNHW5NpiTMn4N17RCJs+voi8VjI1lLksmCvXg3NHXvn\nDnl2nDgGdtCEc3ODfEqCvh2epIc/oMvjrq4hdnwcSjfk1cEhMDcVEqp8V78CE/wvn4GoHIIFhezM\nd3vjKtZ/9kVM/vLL9mdT//wqvAA80pYxl6YhX38HTjwO7+o6JIB4a3YI2qn2G9hfmkLs3yeNKWdx\nHofnqDyUukmugUH9Ief1G1RSXFpAdL0OCWD/w8tQAuDlIgUVAMVffwUStEl61TqE9n8HCEDRvDSD\n6HwZ3XQEsS9fh2y1INoMs7/0MlQ8Dl4sQFRoHQblLVgkCp7LordchqO9V3p//llEP0vryFmc90U8\njRHaa+9A6jk2QcXoWql+z/a8zAiaJoly2YIs3K1t4uxo+foQ0q1as572ts+yu+trhc3PQG5uU4NY\nKUI2JpMWtCLyWfuZLEaINi6E7TEBvtIBSySAaITsZbXJkyiXwdLEtjfIL1mpQgx4ebiPVu2ewOIU\nMFgyAS5IlTm4BzHOQlpS3hHSRYOeNoM/l4OBT3m+XcII62aRz1vL5vdrPLknDscBv3jaok+CtH/T\naLPua0dgpp3JCb9uqhuiwT6JaUiLTAZMW3AGh6xUiQgU+CwzTPZgvY51H4Sn03TKMFlptwvV7kA5\ngqCn46UwMkIp4OQSYr//ug0a9b/4Av3u1St+tsgYoT8mSKrcLGB+7hTkVCnEA7GLOxaDKOqTQ60R\nOjYDsNLdD/8ufV7/4vJQQLVQyc0duJskMOiemge/eBqNTz7vz1WtBn7hVAjlJr7wNTjrFbrGRoP4\nCuZ3R8gxND75vC+j7UnA9YBaY4irYMb0F3XpTZ+cZKNhv78zOwNvbhLIZ6nZD4QevsGgAcaAUgHF\n/+sV5F6jJEQl40j8wVtI/MFbo7W09Px0lko2kRj77a8id6WO7kIB0Z2mhT7zdJrUUvs9e79YLIbK\nh+ex81QEzu1VJG5sASsLYM+cw+znyYyLpZIEY77/kHSqAnOn+j2q3R/27LWYoAEA/ak8VDoVytR5\nPE5r3qB3uAibXbkubbz6NBw8caPbhSrmoIok727QYMEhSkX7LIVUmMtl23uyGlCJuAU48ImyVbEO\nBgjVJS96XsiBRRySeNGyJQAFUvfRqrUTkJUq9eHuP4QsjPmQ20g0FAhEPh9Gb7bbPqqqXLSwZDPf\n9rkwAfcohFPA9GrkUCq0nwwCDpyFufDva7WRZe1vZzyxPY7OQftTc0/N48VzM0DfxVa9DxaPhfoH\n76Ue6R02iTHb68GZmw0ZpBDaY4x+32zquvkI7XxTU9XkOsa5rm2SIihTsIx0eB5p/aTHwD1lHzie\nTEKub0Ft71qkk2Hn4rnzUF8LCwKOVXzTGZHLUhlqX7ODd/bsdTLHgdraAQL6TOLEMZLQjkYJFTU7\nif75RXAlwPsSbKJk+xwA4H7kKRR+nTSS7vzteRQ/PZDVcAFnfhZyZ5dqu4k4+E4V3qO1/5+9946S\n47rPBb97qzqH6TAz3ZMHg8nIkQBIWiApiZIoWpIl2ZaTZK/l99bhyH7etaz31l693bPr+NZ6fvKz\n5by2JTnJkiyJShQVSBEgSBAZGGAGmJynp3NPh6q6+8ev6lZV95AK1u7R4fKew0NMx+qquvf+whcQ\nmM2Cx2JQ4jHqV5R2WryZeTQCpmnUIxkbhshsE1tW4WChkKy1q+kUjFIZ/tsbMPKOibRGQAAeCLR8\ndvXxk/DkqhDrW1AScXnOxJlD8AgiiSqJOFitbiPMHEx8a9FwMo4VrxfFN+yD9/oiRL2OxoFBKPNr\nAITr/mDH90NlqkQNqcubso4vanUYwz0AAwy/B2qxJtUJrEAEALHy9/RDS4aQuFFF6VAKvlwD5b1t\nqMe9CMzlqCewsur63VYkb2WTTFWhqF6I0QGogqPy0CS8yzli0y+tgxsAi4blOZC9NytidiyAPBIB\ndMPt5+3ofYhaDWIzI2vwPBKRoobyM4JBl+GU/dlh6H3twDKVdnks5qoeOD3WZf8mmaCeh67DyBeo\nrxcKglXrYIpCkNtSidjvmxkoQ/3QJwfBFtag9vagcLAd3vO36X0DPUCxAsYZlPFh6Suv9vZQj69W\nI7/77SyY6rGDICsrN10OeSgIo0SbOjfBM86hjO6FsZmR/Qvu91NPqlmS3nq9uRZYvVt9cg8wZx5b\nOoWTZ8fxzve/DacfO4q+yT5E46FXmeMvNe5cnhfv/Y//AP/XrpEX9eQojDsU0X27csMuhm4yARYO\nSZ9piv4IRil2qpIEJjSthfnpZI0qo3uBzW3qEXQlwQuVFnl2i3lumL2QZj9jxbR4lUY8u7B/nYOH\nQgDn0I4Ou1jZ6mA/UK25SjhqOkUSCF4vLVImPNfyYNjV/fBbDLL19EPf2to1ylIH+yFMR0Lr9cbE\noEtAUd0zAL09KiP/lxq72WYCcDF6t3/6NNovZmFcnWp9XdNrXb7PjEk+gTK8B410G5Tz11F93RHZ\nIwFIXVUsk0Q9PzgOPWLCvPNVl1Q8QBsIdAEt5oPy1RfpdcN7sPSDXfBvC0QW6/BdnHFHlU55bb8f\n+pExqLkKWK6I6mQPBAOYQdawSqwNt/7LCFJPqYh/ggymjCo1f8W+vVBWt6FvbtFmEo0CqXbARE4B\nZpnD75PlLafXOvP5wBhruSfUdApGuWJnKPvHW373Sw0eiQCNhoSjN5PjrHKuFZHzSISyVauMBrh8\n2+U1iUZJBVdVJXPe6pnpm5u0kdYbEJNDslfGPF7wwV5gM9MS1QPmhtvRDm11jXp2mxkoI3ukuoLT\nRtow4cn80AQwPe/yeTHyRSi9hIbUZuflPFOiUfIRairJWr9P2vmav93yGHLdv+a/1T0DaKRj+O//\n9V2vMsdfdnhUBOZJpiP77tMojcZsZusuQ6aGFq69o8OVQuvbWejLq/KCG8UiNR1VlXSmQiEJ/RX1\nhiuFFZoGdmwffc6du9BzOYhiEeL2LLS5hRYIHo+G0ejvoIwmGCDI66EJqueePkQRDONQxobpOLcy\nEKcPERN+ZIjsRx0YbqNchlEswnPlHr0n1Um/s1ZHdbLXVbrQ1tYp21AondaWVyQ3he0daDl/2iPH\n6JibYYQmF0TtSlM2YdaLAdOHOxiUpDptbsE1MVl3CrxuT2xx+hCMaFDW6F9q1B89/pKEztobjst/\nd3xzQ24aShOTGYCJ3jF/j6kYUH38JCpvO2nXnzcy2En7gCMTrk1D3TOA9YdT0I6RG93SowksPhLE\n4iNBaMmAzRa2GvYvXIce8sC7TsCL6uMnURltR3jZQPyvz8E/tdqyaGlnDxNbPJkAhgdR7vVDvzUN\nbXUN1YQKz5MX4SkS+U00NCSf9aDto+cBzuk/ANqJMarfO4iAeqFAyrDmpqGmU1TmSJtN+XicypMm\nDFmJx2x5j1ib5OZY/CLAlMtp3ix9PiqDOtjO1hBjA3Z50yoZDg0CsDk+FlrK8tWhg3csrgE/ZfdH\n9tmPeT0QkRCgKlAH+6AO9ksIOwCwcJi4SMu2TpnlXOm0eXUqGShdacpirE3M75N2w6Jctrkkm1u0\nbggB4/JNV4ZhmH4e2uy8Ld3OTXMrE/0HuGG4EmpsuiRa59qC9zuDM2aV5BoaPEsvgwj9Dscrtzm+\nU5WNouh8DZ6L0+B9rc1Ma1gZAfdTI40F/W5DebMhrsTaiJtRt8sXZDdJyCBLo8gaVhSgbJekox+E\ngOEwmGrOKPTMNti5bTI8Ygzs8CT4wipYMg7P7Bo0i/dRKgOCRAT1c8RMbm4Xq709si7PQiHoQR/4\ntgCEAVGtwT+XgWbeiOz4fpKXv3LLtaDWe+JQkhE0fAo8AT8M04wGsPkNzb8BQoDFohBBP5SdHdv9\n7MEjEFslWgBqEemw6Pr9TWgWdu4KDAC7mWhu/PwZdP53am4HLi/AOL4fSqbo8k9wjZMHoDsymd0i\nSX0rQ6ghsyfR+IEDCN3LY+t4AkEQmVK/fBPFXgWhJQoQrKxSm52HL98Fz1YJOgDdB/T/b3bz3ZrS\n5V4/2szGr3duk0QBkwn4P0NlP/Who/T6gA/aI8egVGjia4tL8GYqEKEAtl/Th7a7FXiLdGaUeBzh\nf3oOADD7ljCCaxPo/tQ8Oj56ic6fsymfr9ECc3w/RdiMQRneYwM2Th5AQ+XwBAPQLLa6Y3E2KhXX\n5znNj5RUJ/SNTfJj2TRReY8ck/eKJb1uZcnO6Nwlk29G3ta9w3q7AAfKS0bYoP6GMTtPmYXfR3N1\nZROsrxfgDNriClguDxYIUCDTZLRmzRGZWTmOyfIYUeJx16IsTGUGpaMdIhqGyOVhZLO06OfyZG98\nq2wfrwkSkGuNWZngwSBYt4kgu7cgWe3OITdiE+SxmwbdbmARS2lAW1omq99wK0/kuxmv3IzDHMrw\nHniXc1LjBoCtM9Oslc8V+Zw2v+gSerOGUd4hElyG1EZFrUZlHV2nMtVgr4uIZH2GNjvvmmjS8IY3\nwQhBi72l3wQhIC7dIFjt7DxEoyEjGaZwynLaE6T4u39cRn1W013rdWj3tLcB125DlMvQzx6Bns3K\nSakODULZzEOY0Y6zocmfvgTx/DV4phbBQiGwfQ6NK1A0JNP+s0ehnz0qf7N+47brBudPX5IbutEs\n2/ISw3n+mzOerk/QJrPya2ckJFf4WwlP/i+bJTrHpmF5quw2XE59X7kI/cZtBLbNjd4Ua+z+kxel\nSZMdePgR2Ghg9RE6H3v+/K7zYyWjve1GVkayjYEOZF8/AtGXpqj+kWOot9HCNvUrnSgMeMHOXYG+\nZtb2cyU0OsKIX8uhMBS0m9nddN81XnsMez+6hfQ3tgEhkH/rYeR+6jRBuc1Myrh8E8aVW9BDpPXF\nAwGI5TV5XqqpANZPhiCKptHSw8dsZN7+cRcDv1n/SF83VZx7O2xhP3PTUEwSrUQ8qapLt8t5bSxG\nvdrTTfDaxRUJYiDuhMMzw4SbG5UKYBqO6esbMDa3IIJ+UlHQdfBkXAJFLA8MayNTu9IE+x7da/8m\nk6BnbVLa3AKBXcyMQGgaEXtvz4CZ7zHKZerD5W13PjWdkv7m8jdam4NhgBkCzIFQ3C2gAWxUpswu\nrEtgISGt3+T4LnWwn+blzCzwvZGqegVvHJboWK5gLwJWqcRkVwvTmMkajDNXb0KJtYF5vK4arkQj\nOaQLRI2iN8YYjIVl6WVM3+F+vbUIikad6rOvofKSMxU1tjISi90sR8JMEhkAiczQb8/AuD5FTOSl\nZYj7D1MjD5ALG/P5YFydIuZ5pWLX001hRn1hiRjlV6aAvX1ygVaG98h/61sZUvzdMX9TMEgs32IR\nhhX51XUqM5mbp7MMZkmUWMgYo1iU59+52VrnS6LenDV0x+RSB/ogzAnU/bt2VBveSfMAACAASURB\nVN9iiGPi4ptH9cFJ1HsTUuzRQs/Ij2napMIvLLjRcWN7Wj6Tpzrg3Sij88N0PM7+kVMYU5+6S1yB\nh46CffMy4pe3gTtzuPur49C9HOGbFI13fQ1I/CWJQip93bRQzS+CP3OZxBt1c9NvT2Ll4SRFlQrD\n+oPtWL8/jtLRXggOtH99qSVLAAD+9UtgkbB8zmLz+z9zAYlbdaCd0E++G4Ti4gfHwdYoQ1LTKSo3\nCbE74znn7vM1Xn+81X7Agm03nWurvEofxCWMWXqRN2e4HpW0sDRNVgIAEMpqI0M9g2QCIl+EEomQ\nUOdAH9SBPrkBaatrxINpD9tBpuVB79ikjFoNYnKIVBkG+qg8HGuDEALK2DAJiSYibgTe2nqrknAu\nT6W8atUuVRk6wBX3xmydQycD3HLStORRnEZNZl9UrlENDffe7iGEXfHbC9a+1XjlbhxCEPlMCGLT\nmoN5vDZTOh5zv8WKGi0CXJOfcHPfoHnw7jQthMO0MErXNfP1zOcDG+qXmwFPxOC9OAN9+p6L6yFT\n27Yo0N6kY+X1tNTxnTo2AKBcnJK1VjBGDm/daSjtrdIPei5PVqztSbBQEEpHEkbQK8sS+sws+CD1\nIrjfD/3sUbBCiXSEulNyQskFwBT009c3wE4cgF4iAhu4IssATjCAmk6Zsue0+BgPHgE/OE4LR7Xa\nIrHAB+1roM0vtqitAmghQFnHuPa+M6ZfNE3AwHwO4ABrkO8CmnwTtn7iqOtvbXUNaz97FLpZRmKV\nGtbed8b9mvnFl2wESy5DqlMuSL6ZDXnMRqWC5DWB4HyetLB6exBeJBSgkkxg42yXzCjVgT7oZ48i\ndjUDrT0C0dOJ1H97liQ8/BztV8vo+ONzCH19CtGPnYc2vyj1kPjBcXncPBQCzBIsZeCOxYkx7AzE\nSE7f7HtUBqKkJl0swnDcm81zCQDg9UjHQ6Fp8H3jujswcwRFolZzX2sLsRYMSoLgbgqxVsmJBYNg\n5utYVye0h6n3BkNIop2+lYEY6IIx2k+Aj7kFNzCFMRiVCjwLW/KcA+6AwsraxPPXKGPkHNjYkjIr\n+u0ZoKGBb+3eTGc+HylHmGKPliKwkkzYxF9Dt+HNTRpVzrGbWKTrvFhzeGML7S9wgvI3ael9t+P7\ncuNgjJ1njH3N/O8ruzzvZ4x9mDH2AcbYXzLGRls+hDMoKxlXWmxFfNbQN7Yobe3ooN3bLLkY1d2J\nOTAMaafKIxFZdrAWI2m5eZsynOaLyrxeIJOzmbSbGbBkfFdrVHr/DtBkKuT0ebY0tFzENq6A9fcA\nPSng5AEwr5fktOcW3ByJkSG34F9lh87V+gZw/iq4qS+kxOMw7tJ3st4ueLYqMApFFMfiqA4m7Ilr\nyTtPjEjtKJ4tQe3vQb0ztGv9VWrwzJJMulGpgD99CfmJmG2N2UR20qfvUZRnnjOhOyCu30KTp+fv\npqic1ahT+n5rGvzrl6hWrWkt5YHUk639sNhMQ2ZrrKGh54lWr+jy2+9D5Yfue8njsBZhHgpBFIsw\nHjwijz8yWwZ0A/kfPwVRKIKX6tj+mdPQM9tI/OU56B20QAuvB9lRH7RYENv7wlJhV+3pRuipW1DX\ncuCHJqicYjbi9e4k9O4kaukwuE7ZpFGpgEUjMPb20u8P+NF4/XHoZ4/Ct16B9wvPw5hblCVVqwcD\nkNaW1afYrdxknV/AhJhaZEGT16Tn3OrTMAyZaVqlXOYljxd1oE/6iQCQzHWhaYRiq9cBH81FIxKE\nd8uR7ZhADbpmOniujPqjx6HE41Dicey89SQBNnw+2pgZo2MIk4gi23E0sx16VzB0GBvu+WkFppYX\nj3PwMIk5GjtVKRwqLHKjqVXVPLS1dbcwo+N7XH83fRfz+Vwgg/j/fQ760qqt7vtvHN+XGweALwgh\nzpr/PbLL878MYEEI8VsA/gDAX7S8omb6ZBwct+u6BbeTl2jUqYdg7txGsSi9N5zDQn9oyyuAxwOj\nVJY+vpZSJfP7wKMUMTlJd2AM6mA/kcmKRRgWUosxCF2nPkBmm26OUwehDvYT4mjPANjk3l3lwK3B\nwyFJwuKRCPEBUh2E3Lo1DeUOsc61R47Z0ZPlGbK4AlEs2gKBzkiEKzKt1s1FFQCMOTOa1nUEP/kc\nPE9elNkIhEGN/FoDrEaoMn1mFsbaBpghXKKBVtRsoc0kjNKc3JF/OE/OieYgmZRDNNHbkzBiYeiZ\nbahdaTTG7QykOSJrHi7GryPSfCnhSotk5+yDqGUHAXJuAStvSLv9rQG0PTuP0CJBcdWBPpfwo3Pw\neIy8Sp6+JI9/42QELF9E4rl16IUCeLZgd9RhNzuxmUH7n55DuS+ARoRRv+jUQezs64Z+YIj8Hho6\nZXQNE+33PKkW+87dRtdXNimbPDBGJZIrRK5sdMXgfeoylK+9CHHpBpjPh8Jbj0AxZeOVZEKinKzh\nLDNZ8vb0hQLKyBAR50zpFQvey/y+Fmi2US6Dd7bLTFPt64VoaNDmFshzRlUJFu/zyfIzPzwJViHx\nQ21ugeCppR1obQF5To1aDcWzowRbv3Eb+swsfJkq9FwOei6HwKcukCyPEIDXA21xieawpkNJpyCK\npd2Va2HywXptP3PeFnE95+yniv4uCnrak7Rp6Drp1DnPpaVEbf3bAe3noZBEZzbf682lWOkPAjtz\narZF+LeM79eN4wBj7P2MsQ8yxh7b5fnHAJwDACHENQCHGGO7CFMxiFv3qHa7W1RvpcPRiJQ2lpuG\ns2nNuFwcyN2tdYEyikWXlIPa20NpphBEbjIF0JSOdvosh/8E6IdAXd6mSVKpQJtfAnQhb1hr8ZHH\nzRVA4a1QTccxGKUyUCV5En0rQxO8q5NKCNUqZSbmcEU7hm5PFKu5ZzKCAWD9PUfsU6M55FmEkOxk\nKfldrVJUXzaF54K29IHQNIiLtBByv99VR3ZmUaJRx/TPekjCYSsD4wrZ5mrrm3LRdQ2n2RXgYgnn\nfup0y8tLP3wKd3/vtCyrAO6IzkJo8VAI6ot3oJ89iuy7T6P4o6ewkxYEyXZ+r9dDKrUbWaBWR+HU\nAAqnBgg54/AWyZ9ylD4fPIK7v3casWlC65Efig8z/34AW/c3XMe085aThNqJxxG9U0DqD59F8dFJ\nNKJeeL70Akp9AegDKSrZ+byoJd2Lk1EsQpgRfX7SzGAsntGVGfA9/Vh73xlk3nsa2pl9iPzDeRvp\npuuurJf7/RC1GnbechLK2DC8effc0NojEMfG5d96Nksqseb9YPW2LNtXKe+RzQKOnqNRLoNFwhKU\nglMHofb1ohH326ZpplSIWFkHM0ziHFfAo1EEP/kciTtax31vWfYDrKGkOyF8HjCV1JGladhWBnpX\ngkp9XWmqUlhs8FpNliaZx+uaR9zvBz9AXjp6Lg/j6hT0lXXSAyuQEkOLDI652agDfRCGcBvMlcvg\n04uyuS9tGUzjNx4MyntEos0iETswGh5skZH/bsf3Kxz3d4QQFxhjCoBvMMaKQohvOJ7vBOCsYRTM\nx9zhubBho86o0rLhVNMpaKtrZHNaKABmdN9MIJIWsrE2oLMdxh03UsY5LFimsU2oGWVsGFA4NLPu\nrq2u7YqkIgluW5JA7emCWN2Q3BBtbZ3UVQHq2TBmwxmdkFtVhXFiHzzreWj35mAUilTSCodIjK1a\nh1AJPeYU4DMePALP9TlCiZmKuUo8Dm28H+zcFZckSddn5gGTKCgZuk3EO5fMhOMc1k9NuKxZ+eFJ\n8EKF/NTlg0pL1jf63ksQyQRJvls9DENvIVsaDxyG+sKUC7proaAAIPY31GjWHzoKz7mb4B3tiD23\njPA/LtK1M88hH+yFPn0P1cdPwv+ZC7SQLCwTcexrLyIOKsvVw+3QuuJQKhXoJhABnKNwdgShTxA0\nNvhJc3FIJlA40YmoWe0JLVTAju2Dki2jLgT2/s+mM+L+ceD6FJR0J+odOnqfUEiQcT0HUSoj/NUp\n6ACM4V7wuTXUHjuB6JVNyiKP7UPs2jbqnWF4/H7kj3ejnFLghh5ALnbxr88Bfb3QllfBQ0HUT46C\n1w0YPmAnxBBaU6EAtOFduAYoCsSZQ9KYysqug597EboV9Vqks75e6FXNzpLM4SoXm2U7iWCMRMg/\nu1GHtrBEon237wGGjsKRNIIWzPr8VWgAvNUaMDEC/dY0vc80ZfLMb0L0dUNhDMYs3bvO+0TPbNuR\nvZkxGF6PPC8tpNyGTmhEM1BzNefN+ezUNxOVHSqzNXQ7O3Lcq2o6RY6Z84tQu9IStmwdZ3OZ2yL7\nuTw4HEPb2LI135zDoVbAc0VA+d7Aqr7vmeOMsd8GsCOE+M+Ox54G8B+FEE+bfxcA9Aoh5Gq/Pr8p\n8psFigalRgzD5z7yZTzxZ08CMJVYDd21qTCPFzwRc+n0C12308VvgwXLg0GIhkZeBCarW0kmIKo1\n+3P8fgjd2LW8Iuv31RpJMauq9BNQ+nogFL7rzWgNta8Xwu+FPn2PGp6hUGsN+tRBqHPr5N3dJKpW\nfsd9CP3zc67HnCxea3MUZw6B13Wsn4oieaMqa//O32GdWx6JgCdiEH4f9NszLgaw0pWGCAd2FWhr\nHk58/W7DeM0RFzueebzA/hEouZKL25H7qdOI/c05sGP7IC7ewOJvnAFvAD2/baOznNwDZd8YMkcT\n8BV0hJ68YfuIKAqMcgW1R4+6iIAABRraxCDUPEXXO/1tEjrr5K9U3nYf8kMKGhEgdttA4quz0NbW\nKaNp5+h+YgVia5tgoY5zClCtf/mxLqQulKHemEX+0QnEXliD8HpklmB50ltRcvG1E9geV9D/ocuE\nVHroKHxzGWyf6oKvoKOcUtHx3Db0kBcrPxBB36fXJL+j/uhxBO5tg5UqEIaB2r4+bI/7JJfGda26\n0jIDbj7ulxrSW50rgDAI6v4SYoCu9/X2EFKqp5vuaYvYd+IA+MI68bqswNDB/wDcc4ipKpTebhgb\nW3JzYKoKMG7f/7sw2luOx/RSb/4u6/18eAAwCBGpTIzY6gK5CsTSaitqzDFk6f1lXvOm974Wj733\nte71T1URTceQTrf9m3eP77uMgzE2DuB+IYTVtxgB8EnGWAKAZm4OnwNwGsDTjLEDAK44Nw0AyG8W\n8Asnf93+XJ8PSjxmm99YHsNNQ+h6i80kSU3QAqxP0WR8OUN5nkyYGUfdTl11HcaO3Rx09UHMzdty\nNgMAUSqD9aSB7Rz1DtoTUEScmltFu1fjvOEBSOlw2Ufo7YJu2quKWo2a50fGwUp1V5rMjuyTkWHz\npsEPT0IwBnUjC1GtojE5AP70Jah3V4FkDOlncjKqt+rf2r05G6vv8ZIQHedyMbNueis72znQBX/4\nAJTNvCvac8qpqL09aPS3gy2vuM6bcygVzdkSoAl+6QasCrC16cX+9jw2fvEMlJpAajmF6t4aRt5j\nZ0LK8B6osxn5Pv3GbSTYOKq9EXnOV37uMNLPFoEXbqKSUuGM9dTeHiz82AD6/uS6XLD8fFxmQqJW\nk78t/PkrYI8eROjJG+Cd7dDW1lF77ATGfvkGbmTSWPR2o/vrIeDiDRh7uqHAzqCrQ0kYPoDpZLQV\n/qfnoIECnqUPnMHgxxbJT8WREQbWqkgVVBj79wIXrsG7SAtb21QR1XQQW/dpSPzVHTDVgy51Qm4a\n1TefhLqjA+tb0AqkHea/vYoE67KbvUO98l5wlk2dm8ZuC5+1sUjIqikX/lJKsdamzXrTxJq3yp+1\nOhCLSBVd8fy1FlKss8kOAGJiD2ASD/lgH7SZWZekiVGuAIa9UcjM4mWOzwgFqB8TDAIWYVdVie/V\nqFMPsj1JRL5b03b2k4hDdxI1HZuvteY4z5s4fQjs3BWI+w+DffOyfPyJP3tSBsj0ZgXMo+LDT/9n\npNOtSMTvdHw/9jgKAB5jjP0GY+z3ACwC+BiAXwfw8+Zr/iuAAcbY/wLgVwH8D9/qQ0XdvVCSIFkr\nWsEqkbhQCkIQ3K6yYzeKd9k0rExBW1omtIeTg+Hz2Z8dDrnfwxVacHUdaCNnMqNchn7nLox8kaLa\naJCyiI0twovvG3M17MTxSYjjVMtXJkYAr4f0naImH6Ozg+xy94+gngy8ZNbUeO0x19/M44Vx9TZ4\n2bTCzNrNXH19A9jMwrh8U/ZfrB6HcwitAZ5MUN/GHE4fB6NcRmhqE+L5ay0lApendSgA9c4SwYtj\nbvgn83gJKlnYgf7QURfZTZ7r4T3g4ZDsMXV++Fkk/+wcahM9iL7ow+xvn0bj9aZ3+cwsKcnG2mRz\n3Lg+Bd9Xr8rPi81o0MJelN5xAslPNHmBaBpqCSqBWigiVmtST97KQE2nIDQNgU9fwM7ZSWw8RL4j\nq2dUrP9kB/yqBvFgDuwOnRdlaRPoJLBG+R2E3AquCajLGblpl78whK0f2ofAhgBqdbp/Bu0Gvmct\nj8DUGljDoFq5IVDvTUBcugH/k1cw8tckwCkadbBnr0iYbPiFeXjXyyi8foKOvy0AI5uD+pWL0j9C\nXKcyojhDSC5+eJLc9Rw9xmY+CfP5SLrj2D6JlgIAFgqCHd/vsqS1uCPM54NRKtlZqkV6a9ShJ8Oy\ndyI3AMe90NiTcsmRVDsD8t+FwzZcm4dCEDs7UDqSJPmTTMiATEl1vuSmAQBscxvoTMIwzePUoUHw\nPf3kOx6JQNk3Rv26nap0PDQqFYha3T5XjEHv7bDvP0vfaswm4LJzVwj5ZW4ayuhe+r9j7VFSnVAS\nMZd0yr91fN+Xqr7bcefFe+IXjr+/5XGn4KBzN3e9xucDD4fcJYFYG0RDI7/yXdJu5vGCD/RQU9Pj\nBTijC2U1l4cGoc0t7gpLdQ5lbJhSVWtjOnUQTDPcUgyhEGGygZeW1oBdL2ZeD5hHpYbqSwkiMkbe\nzT4fwJldqmt6vRKPA5yhsX/AVRKSJTnzpm6WDbGGuP8w1KkFiL40jMs3bWHI70AIT36nWfd1PRZr\nA0vEUe+mjaU44EfbR89D6ehA5g3DiP0t9RGMB4/IDdDqEbETB8DLNZqwDgn3lxN3ZMf2gU3NtQQS\nmfeeRmShgeDUOjIP0mLT9nfn6btfcwRKod5S+2+89hgC0xvQO9pQT/jB6wYWHvXBU2AY+PNpG9vf\n2wNRKGLufftRSxoQqsDILz4HZd8Y1u9PoHB2ByO/tEDIM7NMJe4/DOUSLepsoMdVFuSHJ2WWIPsX\npw5CXctBX1px+9I4+hvK5Cj0sA+8rsv3M58P4tAo1I18SxDw7QwlGgVLxqnMMza8632kplMQ4aBb\npp4x4L4DULbLMGYXwUcGod+803L/Mo+XFBeawSnWd7cnJLijuXENxkiUEoCyuCGfV2JtxORuWkul\nLAhXoIwNgeWKrV4032LwSESq94piUfZYVEtKZX4R5bffJ/tpuw2rHKwtr+KPzv8fr4ocvuwQ2LUJ\nbRkPKclE66bBFYkSad4Y9FzeRniYsF5leI/thBYKAKa9p2jUTbVRchRkHi/0hSUoiZiMzHko5IJx\nMp+PoqSNjN0HCQbBdAFecVjRgiIPlygabGKSkzXNetPgsTbyBuhOofbGE9BGel2kIivyV0aGIIZ6\nSfjNsRiLpiiZ+byoHhsC//oliuAPTwKnDlL0PNAHVqmCVZoWWRMlAsYoMmKMFhrG7EVpZo5k183j\n4YcmXHo9ThJW9t2EjGreNLjfD2aSPfkzl8GfuYzkV2Zpo9/agq/gsDYtVFH64VNUU19axs5bT2J7\nXxiCc4JhmpEb4GauWxHs+i8Rge7eO6NYe88hNI/OZ7fh/eILmHpfD7gGcEewp2Z3sHFfKwjQ9+wt\nWuRfuA7/i7Mod3kx9M8F9P7Ws66yauFkL/RCAb4s0PdFHSO/SIvG+gMJaEGGPR8W8v61QA2epQww\n1A8M9WP1oQ7U3niCiJkAeZYAyP/4KWhBlTLW5yj742F3Vs7OXQVTVWz+j6chPArqCT9YuWqLN9Zq\n0MJeggN/FwgevVCQ97VYcsvBS96RxwO9PSLvj+KPnkLjdcfALk7BCPmpHKTS0qZvZSjCNyH1olEH\nj7WBjQ8RJyudsiG+pr003z8OI2VnSBK9FItJSLPTcVCqVJtK0tYQukEwdEOHPjUDoektiMzdGPfO\nYRSLxATf3HJxlozMtry2kS/dpLKXBa1vGtL58lsErd/J+L7rcXzPhmnDCDT1IwSd/GY7V21tnVAJ\ngSjgjC65AiUaBouYEgIOpJalNArsri3D4jEojJOHsylJIuuV0Qj0zS262Fs5gmA6FkJLtp1v5Eib\nH636NK7vstJ5n09qFsmo2VxzfDepuY+gnZpbi2LhYDuiT7ZG/LwtSsSsznaIXAFGuQLPl6kXoM/M\nQu3phrFKkdfSW/vQ/RGzQW6hcECYcicqy5qI6mC/XCSMahWoVlF/9Di8X3xBQm6tkT2UQNQERyX/\n5brsFSgjQ7IGT1akc5QxmhNSW1unBUcIBD59Qdb6jSu3EL0XgWZySAIrOwh86hrufvwQOv6lDcGN\nOrgJ3lL2jclzaW10qf9GzeC9f5/HymtaWdPW69/18DfxzJdPuZ4zrk6h42rLW6AfGZUlhzvvH4U3\nx6D7omgLHMbsW/3Y85kavAvbaAQYxOlD8GcMzL+FoV85Cf9nLyB7uo7+f+TwrOVlb0bcfxiepQyM\nzQwM8xp0XjelZEoVaA8fg+fpa2AeL5Ln1iDKFXePr/m+FgJ8sA+RJR18Kw/vlVvQYaKEPB6svKUf\nvpwBzzdsMT8n6u/bHVZz2QJDKPE4WDhILpWLS8DikuxdxC5tQb89Q70tM4tjNXdZpjHRD89aG8TK\nOs31tXWwEdP21+HE6RRrlD/Z8h8Z6JL9Cm15hbLrXEFqc4GRTwfWtqBns1Qet7IuQcKiTnCMUa2i\nxfLWeQ7SKYhIiI6Pc+ljD9D6Ie2ayxUo3alvC1zyct/3nYxXbsYBG/cu9ZBibWCqx/UY4K6j69ks\nSYNYOH5DB2uL0s0qhKt2qN+5C/3OXZcek/N5Y8O8gTSNbi6fWYePRKCtrdPjt6ZhFApgXg/E/YeR\n+VmKpi0yoggHwfb0SU6IEmsjgqCDUAdASkTr2SwtWoYh+QsWGxYAeL6E+Xd2o/K2+0j2vKcbOHkA\nbeeXqI9z5hBF+/E4lMlRaEvLMsPRs1nS/W+LysxAW16RG3TPlzYJKaYb4NUGbVLmubZkOqjkR0KN\nentr1O3N11H80VMtjye+QROQHxyXBkQAsP6w6b1uRbcnD5BysVkz3nnLSRQfHCIS5MQIhFPaxclK\nNze58DeCqCY4WMOO7pxlK+dgPh/Y4hq6nsm3ZLeVt90HJdWJF981Dv+TV+B/8orr+e2fOe1ilytj\nw67mpn+LYae/gfZPTyGzP4DoaBalbuI5MAHUkj5EP34eo//+Ahbebi6hJRW6n2NnKClr+Op6HrmT\n3WjcN+76fmRyKB/tx+ZhH2XIR8YgrBIlV1B70wmXXzxg82GE3wf/Zy5IdFvlh+4jHbPFJSSvV5H8\n6oLbKbIJBWfJm1i/W37+oQnkf/wUkTwjZnDj85oln5zNpzk0QcTeUIik301YOT/o4IvcnpF/s+4U\nvDOrMOaWwBPka65Eo2TmVHUrWau9Pa5r6erNXL5Jki2HJqgMvLIOtMcp0/Z4IXqIB2IFp5bkh2Uv\n4OSRWAu4Ua64zgFgqjqYhl76XSuwIj082UtcW7fveUOnkh5XWhnlzWoK36PWxCvWATCzkv3g5z7y\nRfrDIFazqFZ3T9ecWOdIBMwwoPSkpViaUSzLEy6qVXL88njIWQyA0tMFI5sDuAKxQ1GAOtAnsdnc\n64Wo1ihFVlUYxZLbP0DXaTHdLiLwHEU//OA4xPoWMNhNTOzyDrmimYQ7BkDs7NANrOktNwQXAEJB\nsJ0aeWHUG2CTw8BGBuFiAIE7G0AkhOpYCsrTVwCdhAnZwhr03naImXkoXl+L5AcAiLoG0WiQmFu+\nAGXfGMRmBlwz/bQN3RQ7bNguhnNUdqg/sB8K8wLxCJR8hc4bAMvtDEvrCC4VXV7nYjMDHmuDUSig\ndmQPlDum4J7fj8hyAzwRtxn5yxtQhwZhjPQBPSkodYHAczNgt2bB4zGwWBQ81QEU7GugDvbDyOWR\n+8nT0H0M7Vcrso7PjuxzOSRaG/AXVy7jv1TegureJCKXViirNN0lAWDp3f3YeDiORjSMcCMEpJLA\nqv054dki1Es2j4Z1dUJsbKH0w6cQLHP4qz5oqhehr05DSXcj9lkdvi9RT8Z3bQnqHTuCD7I+sJ40\n0v9wD74qR3YyDPhU+Ncr0FdW4b+XgadqQDu4F6I/DSUag7GwBE80jtCqDra0jq0370X2UASRZxdh\nPHAYvgt3wAMBcM0A3ztAjn1dnVDCYbC1TfBAEDxE/6kXpwHDgDIxAsPvgbjx0pEv9/tNuR5y3lPa\nojCyObBj+8ArdaiGArVgLrCFEozMNoyj4+DtSbCtLJRoBMb8EnitAbGzA6Ng359iM0uM6WOT4MkE\nWEOHEomg0RUDm12BqFVNp05dCpOKak2Wj0S1SvdIdyd4PAaRyco5bl9+U8jUdGNUgkHKpg2dnCSZ\nAlEq08ZpriuiWgU0jVjipqOfsUMCpTwQAEu00Sbm85F5mqICukG9EGteW8hLh4sp9/lcrpY8HHYf\nL2PudQbAYz/7CJLdiX+zA+ArOuOwRnMvYddhSSKbC6Vh6lgBAOPuXpK2tAx9225w6ctmLda5KTnq\nkVa6L7J5GMUSeDjkqm1aUc3Uh+2Iybg6RfIj95aBtS2gjfolfGQPjKPjQNKBmojvAq/TdVLMLZI3\nhVEuw7h2B3ouD3U1C21xiUpNxQZwYj+MnSpEqYTywxNQ71B2pS2vQN0zQBlIqtPujZi/U5tbIMRZ\nxEcMVUeKr2ezdvPQgZTxPHkRvFgmIUVzAqh9vfa5Y8yVUQjLeMiEaQbuZlD64VPQHj4GtncAteGU\n3Eydv33pkQiWHokgOxHAzB8PYuPnz2Duh9OAR4V+8w71oEyUjFVO2DwuoRDO6wAAIABJREFU0Pkn\nz6EwFMDGz1MPQ1y6Qf7ZJrqn+COUJTzafRidH34WXe+ehba6hnu/NOY6hD0fOIfxj2wjeaMKcfGG\nZMjLQ2xm/CcDyP/EKVTjDNrCMu79GMNTv/J70B86itD0NqZ/2YuV/+kMlLFhbP8MZaVW1hf41AWU\nuzxY/vExaG1+tP/zdUQurgCmxETpjYdokTL7PjyTQ+WH7kM9GQCzZOE50PVN2uS9c5tUSr15hzJw\nU6tJXLpBIoq5PGW2mW05n6TZ0jN21rTbMKpVGB0xGB0xklQ3EXiZQ1Fo7WHUYh5iVs/Mgu0fxfZP\nnwZ79grEpRvgbVFbsDCXhzg60fThOoxj4+A1DXrIRzDd2Xnwpy9J/TklGrX7jO0J8HaaexZaytja\nBlbWIVY3yFu9PSn7a3z/OFgiBpw8AOOBw3TdFlds/bpgEEaWzOPUPQOungNPdZBTYTQK5vXKNYUn\nE8DqJskRWYZMZuXAGs5jdqEMG5pLTt1lU2AFYv8vjVd0xmHhmJ21Qeg6Rem7yIYARDDTs1l7J2cM\nTFGhtEWl2Q4aDcoiTCc+HvBDaCTTYXkPG4Ui2IkDUEJhCHOTsTyJ4fHAyOcJiRXwg3EFolpF6jkD\nGB5A6f4heG8tk4Xr2B4Yc4uonRiGcpeIYEq+AhYOQmxTHbU5KlLTKUk6ZCMDFAmlOsE5N4/N7pV4\nVB9WH+lAbJ44J965LVs7anQvmGFQY69chnZkFGzBDShQOjog7sxKD3Ux1AfW1en2MQ8EgT09QK5I\n2VW5guqhPnjKBkRmmzygAwHpM+0sc9SODAL9afC5VVLNvTUNnk5BfeoixGYGargNxYOd8NyyI3Aj\nX0D8ah6x5zcgUkn0v34Zpctx9Dyxgc0z7QjPlcnDe2eHshVzEU/dYjByOfivLiH0gg0dZiMD4HOr\nMAoF+K67hQ/Zl6MwikXEvraI5sHBkTveCf+V3c3DnNdL3JhBeFvAv6Pi3u+kAUXgqQ+cgHe9CKxu\noP0FDl/dByPkRWBbw+abhxA8N4uVXzuDzJt6EZ/W4fuJDWQqCaCzHVv3xbH8IzF0nq9CfXEa2qG9\n8Kh+8HgM2TO90P0MocUKGvv7ce8/9GEnbaDz2QrE+haMQsGt1pzNUZbd1w0uaCEzSmVUHz8J/sIU\n1t53BpFL6zCSUVdWJa//yJCcAwDAOtoBAbBUEkowhK23TSI2vQP+7BV4Z9almKg+M4cga4MSj0Hx\nkQw5H+qH2NMNLG8Ayxt0/zl5D6U6WK4AMTMvz61RsSsNbGIvsJGhcmaWeovK8B4w3SCmd18XSZYM\nD1LGUa2Bm/0FnowDmRwUXUBcNcuXQpB2XakE0WjY9+5gDzC/Aj48CLGZAfP7wXQdrK8L+sKSzEaM\nQoGyEUUFUxQoI3sgMrZgpajWSB1Y1+0svKMDTFFo3juDVaf3u880s4pGZVme+/1400+f/Z5kHK/Y\njaNarn1w8EA/Tj1OuPylO6vEXvb7wdsTLs1+wJYJsDYZYn+bm4ehUxrr99Oubpo2WVo3PBiw0+aD\no+DbJAyoGgxMN1yTUInHoa9vmB7IAbCOBNDQICoVKutkC/Bcm5cRg+Lzw8gX4OV+iO2suXFpbokO\nAJagopJMQN/cAlNV1E+NQ7k8TXDXrk4wATC/3051D46jNJFEaLkBdT2P7XcchCeSkGUlkcm6zpM2\n3gvlrrteLSoVCVMUIT+U7SJ4te56n1EsUtlNJ0kEpijwrhehLy6TV0a1BiObxd3fP4XEl5bksYn1\nLSh3V+zjMZWC+ayNthEbW65NQz5ummz5sw3klwah7gDqN6/B70+CZ4vyHBi5PJRYG27/wSH8w//5\nZ/j85x+WE9cavK0NulWnN6+LOtAHI19A8dFJeG8uU+TtKAso+8Yw+55elPqF/E3yUvl8yP/oCfiv\n0eNWOa/4ukkIVUH0uoKax4dawoOOX1/BbHgCelsIp37zeWx+YBW1A/3w53QiiIIj/aHz8MGPuxMd\nGPrbTdQ6g+j8/CyKY+0IV0K4+75BlLu9iF8izTTPN28ieGcLvKaBXZ1G+2YCqc+tu82rzN8HmOS8\n9Q0qV00MAT4fxMYW5v9dHxJfWkLu4T5EvjQNJRRybRDyWmxnCaAwOQSsbIALBlbeAVMUlCc7EX9m\nEeLGNLSHj0H0peCtGjDa45QNzC0DmSxYNAxRKtN9v+xA/VUqUFKd1D9gHGKnYmesjNF8dlgW61Mz\nLTBc7vFCX1kFGxoAqzdItbq8Q1DxnR3qF47sgVhYIVWJ5TUbZt+VpnVCt/+GEGD5EpjCwQyg+Ogk\n1OfvQD99AOzKndZyuWFAaaNMRF9ZJzuFfcPgZQpARa0qfxP3+2GUyhA1u18ie6y6g4NmlqlErYZT\nbz6Gd/zqW3Dq8WPoG+1CNBl5deN4qbE2u/HB//Udf4Dzn76ApTvmwlMnmKycEPE41R8B8FAYaGjk\n4mUY7tqhuYnIzaJpiGrNjnzWMoS2MgywQAC62cRSOzvkTSwaDfBoFKJUAldUGNs5+2YScIuv9XVD\nCQSA7RzVY3d2oPR2o/LAmKvOTSgsgkGqHe0EQVzOSBllY2ubFqjJvcBahmw9786D9aTh+cpFiHIZ\nGOwG1wQ8uSqRrDrbwZMJ8FQ7lEAQyp1FeV7IRCaI6kMHoU4vAysbUH0B7Ax3QEuEoMyugR8cR/XY\nHqjT9mbDuAJRr4FxTue0WpXZH+vqQ8CMzq1NQh0atPsgADZ+8QxCF9zRvdrTTan+g0daMiJRLsMb\njqOW9MJ7cxmbP7gX4ecWoHSlgcFuiPUtiGoNyc8t47Mf6ofIbNNCZGkK9XSDNTR787f8VfLEnFaf\npqa62tfj2ix5rYHoF2eg/UIYob93S2/zA2OopnwIGmEIhyx34Qf6YXg5Vt6kY+/fV+DZ4ShcSSI7\nKWCoHKW/6ACfW4U6s4bt1/XD+94N+L7gg1d4oN+bgyfaB+/XrsHva4M+M4fNt/Ug+ZEX0HGhjOgX\npmHkC/LeZ+PDyN/XhZX/lERdDyPwlZuuYzQcCD6xswP97FHawFc3wQolCE1D4ktLUGJtiF3M0IKd\nIy4DD4Vc8wcwA4yVDWgPH8PsuzuwfX8Cyet1+GbWaf7EY9DbI1g97UfsVpm8vjczJs9HJyKdTlm9\ndngYylbB/o6JPVDqBjAxCGWHzNnUwX5gsAfCkfmyZHzXjU2JxyBqdfBqHSKbo/vy2ARqIyl4lrch\nNB07Rweg3JxD/dgw+IwjEDAMMI+H5NwLBbCBHiBXIPSUpsHI5+G9SfNU9QVhODSpnMEp9/sACIid\nHYLAr2zAKBSpb+GojlhrEPP5AEGfYZSoX8dDITDTNZEHg1C608BOFYs3F3H+sy/g/L8+j9e9+yyS\n3fFXexyvjlfHq+PV8er4/3a8YjOOzGrug5//m6ftqMTZLDL/LRx8DVGpEIzOMIiMFwrJlFY0GqSh\n39sNkckSnK8tSrVJK7tQFFnnZw1S6BSVCtWDKxXy6+jthmGZ+Az0QGxtS5SHmk6Bx2KUNZg1W2Vk\nCLxUgba4BKaoyL7rOMI5BuH1wHN1lo5rchScK6SNVa+bCC0NolQBS3cAJVN110rXudlfUVXwQBDq\nSkamwX7hBwcDr2kkYpjJwljfkMcpGg0ZTYpGg5A11xwKu7k8fA0FnkwZYrgPfHmL3NR0w86oLG5N\nLAY2MkBoIjMqDGshIJt3odysbEN75Bj47CraVgW0Q3vBFtYk4srKBtRAuKXMBABt/6jjTmcEyU+u\n4r4/WcbN2nEEn5+H0UQwk/dCmVwLyw8OQxUeNLraZLkMMDWb7ixDZLbJEOjuSkvpc/E/HEP0mUWo\nxT1o7OuFNt4DzxRFnjwchqeugF25LX/r7McPoesJHaVeFQP3L0P81gx8hhdaLIjQKhDcFPB94QV6\n/8FxbB0LYHsniK5/XUX5zxX4vxmDp86BpXUoPj8Kj06iHuHIvKkXpf0dSMwL2dsyHjiMlYejiCxq\nYJs+BLcM+Oez4AO9ZAGwy6gd6oOaaAdbWrd5Dfcfhpied80jAC3ZBkDllM13H0X0ieuIPTGL+JeX\nKKMIhbD6I2OIzO0Al24h+syiK9uBEBCaI/tvT0BcmYLSnYYxMQgei0PJl6mUuLJhAk8C0FfW5H2l\njO4Fq9ZhbJjZx6mDUMp1edyMc/K1URVoB4Yoa11ah7ekgcfbgFoNvooBI5eHl5HvjqjWKMoPBMC8\nHhiZLKEJBWDkTbZ4NAroBpS9A9SPNLMdZWKE+ifmfFJ6uqCvbch5yDxeF1jEQjwKpzqBrsvqhfNc\n2Y9rMDIZKpmbGTkAPPbe176KqnrZYfruymE1xzxeMy2kIb2143HJFha1GhBwexjoWxlbhlwYkp9h\na1fRd1kSDRZT1RK4M4oler8QUEb3QkuEbA+EWBt5Ei8tkzyI5fE9fQ/a0jKVa3aqiP3NOWjzi1h9\nXYqkT2JthGpa34AyOSrRH6JWI4mRmVlS1HWwfy0ilp7L0++wJAy60igcaIeylkXhZB/0zQyMSoVQ\nVQ6zGamXMzkKPZslox6TM1B980laCA0DuD4j0SGiUXdpAwGEHOH5MhoxP2H3R4YgFlYks795+J6f\npj5KqWwbH3mb+KvrrY1ZACi/KwCW8WLpA2fwpb8/hewBge23H2x53dz/fhrltxNqSr9xG8F/eQ7i\n+Wsod3mhDvTJ87DTrtBvBeD94gstn6OM7kXfF/JY+sQ++D73PAKfuoDAp2znvNU3dGHhUfv6c78f\nx/sXsHE8AK4Bs+f6oUyMQLs3h8w+FerPraMWtafq7H9SUe1p4OSRaWw/0IvtL3ajNNmJ4oCJ1DME\ntic4QssCwRWGgX/ZgLa4BL5/HHz/OGZ+zIvu330WwWduI/kX5xD6xHMwKhVUBxPYectJ+4c4+Azh\nO1mo+R3U3nRCPua516S88DIoHr1QQDXJ3HPy1EEYvR3oemoTy2/udqEflfYk6m840WJQZHE5Gj0J\n4PxVGNenJCqO+XxAql0ij4wHjxCib20T5dftk9wn5eacC7VEFtEajGIJnqwJsY9GCfU1t0A8JovI\nt1Mldn+tRh4yhQLxrRp1W/UgGDQlzr1Q2hMmgU+Rz+m3pu2SZ7kMPWmbPynRKJR0J3mLxNrs4LVU\nbrGIdg4l1ibXI6GZytxm7+Pl1KS/2/HK3TiahkXME426W13SvDB6NuvSxdE3bc9u51CHBu0FPxq1\nG1OGbWhkVCo2bI4rBKt1kARFwAvPvTXp5uWEZmrLK7KmaUksaPfmXJtd18duUZO8q1OyRS2pj2aP\nAcDevJSODqiD/VJvR8/l5c2ora6BawLVsTQ0PwPzkJkNGANrayXqiXmzv5LNS43/0LkZaZtZftNh\nLL+f4KPi9CFosVYYtLGZgW9qGW0fPS991+/+zkkJjXQOvVAA0ww54ZX2JKFv+noh7j8sf4/TtEme\n08UlDP/KeXAdCK0YQHsN2daXYfA3zrk0fyyYdPRj5wHdkCz79m+uw/9Z2gicPvTWKE0mwVc24X1q\ndxXSwJaB4Jq9yBrVKub+cAz6g3kkblQw/BerWH4DXSuuAYsbcWye0Ww2fEPFxO9nMfOXY+CaQHG0\ngWpcwcZxhu2fOY3Nh/vQ/eASUp9fQM/f3Zb39U5/BDv9EXSeU7DwwTPYftx9EjxPXkTg0/YGp/Z1\nS5a/fmsa+s078D1BsvDc75cqCOpAn33OUs3OHzRn2IkDiM4ZUJIJItAdmoCS3wGuz8CYnkX3R6fo\nHjQXX30rA2/ObAhbRD4HIbHUTwRBtafb5ljVai6yJtMNbP5AGnqhgOBnX4S+sobaG0+AJWKuYIiH\nQhD1BrlZrpge8IUChAmBB0ijS02nAK8H7Mg+6n2ZAZk60CetcfWtjFxftLV1uz9nemXwXQzl2NSc\n/T0WekpVbYMwmDJDTjXrZqJfPNZiVsdCNuT/W0mbfKfj/x8bB2NAExfDpVwLUwjMqfUim9WOKIox\nl/Kr0HVptOQcrsjA0KXft6UyyhbWoK2uQckUXTewMrrXRlMlE7bVI2OSBb38/jMUxe9UgVW6yS0u\ngja3II9HmM8xVaX/TBl5bW7BradjWl0q8TgCn74A3+VZRD9+HqJWQ70vCe3eHLKPDLntQrliS7ik\n2kmxFW7p7OAnn0PP7zwLfXoWekBFbtjhF+3Q3DJyeZdK8dCndrDygwMtLn5KqhOV3jDK77gPa79y\nBvpWBrl9Maw83g+laJdKnKZNzSO4KpAbY3jHvktov/StMe7O35O9314c1x9OSZ9wKQPuGJHLa2Cc\no+vvp3ZlwZdTHB1/fM71mLegQ7/chuxYEKjVkf6DZ2FsbOHrv/z7uPvwXyF6yyMXpNfsnYaWDCH1\n1AranprG6L97HslP38DoX28jPlVBLcaw/mQv8TgcEhPZUQ+yox5Ukwy8BrR99LzrGJSODtcCo80v\nyiCp/gY70+D7x4lE6XidPGdmKdaaA8rIEJbf3A3dryL68fPQM9tYORvHytk49LYARe6DfdDG6Pxa\nn1t6531QtookG75gglueJyACGEP0k5fAVBWNfnq92tsjs3weiRCP4soMOv6VdGO4qbjg+/zzMDJZ\niAMjUIcGoQ4NovrABEmd354BizmCpNVN4nGMDUPdKCD3A3sggn7gJsHTZWYTCUG/c9edMZlscBYK\nysdFrQY0GlC70sSLchyzNZiigAUJ+bibGOnGL5wh9QmHRS0ACK8HotdedyyTOmsYJvrxezVeuRuH\n4ySRpaLH/XxXh+tPS/6DebxygQdXSJLYurhOm8mRIZdTl1OGXeojgUpAVunJKFfIRtKs4WpzCy4B\nPX1mTm5YemZbRhiWfHr45hYG/nGZfo/XQzawALRekplmPh/48CB9l8XF6O2G0tvtgiAqaw5kSSZL\npLsBylD0kV6oA33I/8QpeLZps+INAaGS9Ds/NAGctMtO+o3brSqijrH+i/fB9+IMorN1eU0sEhed\nUgH9oC25sNPpQ+eLJRQHgiTvYF4LfX0D/s9eQPQrd6BU6TpU4xzMENDDPilp8lKDB4No/9oi2EQJ\n/3jxONbuF8i+57RLzFC+tskHGgAaP2lvIu0fOeeyrG2O/ube1Yvldwzh1u8OoRpvnazqTuumtfAG\nBfxQHvU2hs3Xkoz2+rsPIa4EcfrK25H+EGljqYP9yNYDyI0GURtMYu2dRDwUQ724+64E1k+G4N8W\nMBRa0PX1DSgTI2i89hh4HeB1QHswj8GP2xueEo2S+moqaTvxmXIe1gg8f1fK0RjXp4goB6D2GG0o\nWz93GvmfsDdJeU9wjp5PLoA/TQu9MjkK/7aAf1ugljSDCUWBZ9Z8vUmcDf/Tc0CuAHb+qszIrffz\nA2OoPnIQ2gMHsXp/CMroXoi2MJgpmS/GB0mapSdNtgQwS81ZgrMzVYUeVKUFQOCiDUMWlR35u0Wd\nuE2WFW14oYJ6OkKZjbOnZQoqgnO7zHx7hr4nQ6gsSTDM5akMnoxB39yiDKVcpg2qPQm9WIQ2v0jz\nlytQTD0tC27f+UfPwqhUsPojY9SLtUrit2dgXLkl/365Ofm9GK9skUNzOBd4SxLdsh9ttjwVjTqE\nRlpK8JB7lnSxM4XJmKqCFcvyIhnFEpREnIhADvYnQCUg5vNJeWvkClDCIZc1rX2gtrYNAJvY5/UQ\ndHhxBbq10VQAxeMlRdhMCbpVcmvWVWpotidzNIrGob3Qz12TTzOPh4hGO3Wo6RS2RkJITi+h7e/O\nQwcQXiQbXSuvKr/9PkSfuuMyx7G0sJzRt/7QUeg+BR0vVgBVRS2uwmPVdZtKhUwIIvddnQJvCKir\nWYR8yq61WT2bldG65Tq39itn0H7l5V3ijEoFLBKGeiGC0d97Fiu/dgblbqB9zd0X0R4+BsPDWnoX\nHe9n0EGLF2+LurKRZjc4/7bAxLtvYfs9SZc9r/ysF4vEhbCIWfvH0T+xhqUrXQgWBNrPbWDmt0/j\n8ddR2cz4eCfUrjK01TWUJ1L43PCfYWJgBO2fW0TqhSoMAPc+oOL/OvZXeN9z70LXhzTo3rDMdrLj\nHG0zBrq+TBFobrsT2pzNZLdsk1nKDgiYosjFp/JD94HXBfyfvQBxbB9qbzohS1a+z9H/2//UzqCU\n4T0wFleIvHp7Fkp3GuV33AeuCYRvZqS0vThNqsLSqbCnm3pwpnWwvpWBfvYolK+RcKbQNDlvfVdJ\n0r77Gw3Si0smgLYoRDgInisDsTZU9iag729H8F+eI5e9W9MwBrsgLt6AUuiGYpYZ9Y1NKaqIWg0w\nM2Le2Q6x1IBRLFKgdm8O3pEhsHSKgq0QlcvY+jYM7KLJleqEtrLqWl9YOEQ+LyYxTxqspcgmAWaW\nYT0uBRiFMKsRNPM6/+hZOn7O5HsA7G6ZABOuv0tA9N2OVzSq6gsfO9eKJ29iWTtZp67Ha8SZYIzJ\nz5BlKcOAUSqDMU7IKsakGia4AiURJ3l2a5HXdcKUrxPCyLJMtRA1VB5ggKGbToNB6BubqL7uCJSp\nBRjZnP1ZDsSRPPad6q5IFoC0dUStRrVnTQNf3nRlH0apBGg6jLV1GKUylHQajZ44vLkq0GhAGAaU\nvYNAfzewtgnvrWWIahXGg0dQfGAQgektgHNsvHkIkbJfopq08V54t6vgVR2N/iTUmnAR95RYm03U\nWlqXvI3KsT6U9rYhenEFRqFIm6hD9wcwJ4Gp6wMAansX5h9XkMgS6me3oXaloa+tI/+aPrSVowht\nCBz/5au4XTuEsBZ2kQuV2fWWRu/WW0YRfJEYv0wIu8+V6jS1yOzMMWS04WqsF4kpzc0jsK75yoaL\nLMjbophPpTH06+fAu7vAuIL4X72AjT8V+M2RH8TkG2ew84emF8fMCn7yV9cwPHkV5z+UkJtwoNyP\nwmkGf6AB4585/F++ivKJPvzqb34cnoEaTr7mFm5c24d6R/ClvRscrG/nPeK5tYzGZA88t1egBEPw\nLmRcagxOPhQAlM+OIZCpAYUyWG8arErmSusnVET/2ZYFdl4rdWgQekcUSlUDDwVskurcKtS+XhjF\notQUA0zPHH8AfCMLxjmpLHS2Q+uIQFy+BVGtQb27Cq+/DaynE7gzR0TYjiRYsQKWK0LfJJY8dJ1Y\n28kE0JGw1ZZzebt3af4+sZ0Fj8ehdyXAGgb15kolQlNahEGY93e5QshH8/yoXWni/4RCZMZVKMl5\nyypVIOfgpui6LFtLcqnVyzl9CGpDAA0NKJXltXKuKc1DaDqUjgTe+M4TrzLHX25Uy9UPDox14dTj\nx8E8HqzlGi4pdeAlTrTFDB7sBw+HAa4QM7zi3nAASFiqc9FWRveSv/H2ti1twhXwtigJupkRAfd6\nJfqKOcQEla40McNLJagzFMFYG0v10cPwBqLgBqPNKRiEdmQYmH5pwxzj6DhBKMt0g4lGg6Jm8/sB\ngodyvw+iWoM22oPg8/egj/QCC6tQe7uRPZVGPekD707Dp6tEKry7CN+1JVRffwQrb+pEzxNrLnlq\n5e4qsLwOpaYBU7Pgs6tovP44vGoQIrPt0qOyhtqVRu5wHEIBQv8Pe+8dJcdV5v1/blV1nM49OWeF\nUc4j2+AEjkSDAbOwNrwEk1nDwrIvYXlZliUsu2CDgcUmLBmMAdsYsDEYW5IVLMnKmtGMRpNz7J4O\nFX5/3Orq7pmRl9/C7/w4fnnO0Tma7urq6gr3ufd5vuHIMGp1JVNXNuI5Wvz7hKJgdbRI0mFVJcLr\nZa7JTfQbyxFOznmwBzpXvIpHv/sNvni0k+c97xn2hSsJ3XlSWm/22zVhy2LiLZ34D+VXUP6nB2TC\nam/GHMrXjq1EYhkclZFx1Ipa/us/v8jPP1+gYpyD3n6qk+gj+X33v2UNrk2zmFoLJT/Zj+iXA2r6\n+u2Yiov3XP4AB74oV7fxJ6NcEz7NR/pfwOnmDmJPjGN2rqf3dYLRbICxfdXoYT+BoQzphij3Gx0o\nHy7hUW8HkTM6StZC7SmAIf8RmkaK349ZXYraPYS5phE1pUthwu3rYWis6PdrlRWoB85ICY5kElVz\ngaYyvSFC1b/JlUbyZTvJrql15EXAhl0Pj6PU10iduILEmoMRi7K4HLg3riG7qgYz5IXj3ZLVPT6J\nyGTREhkpD7JhNYopMM+dJ7OxkYXN1biDcTh0QhLjymIo4RBKLEqqs01CmSemMAbyqwa1olxOErJZ\niXKKRVFCQfShEXlvu1zOmGLOzuVFRzMZSdbNZqWaQ0UZ5sysTQCW9xfzCxK+39SAOTObh7gXyiHl\nhA1tUnIunOc5mSwuQUcj+cSVS+aKyq4btvCKv7uRHZe1Ub+2llAs8NfEcbEY6R372Ede8q/se+AQ\nA6cHliUNID/jDwYl7T8acfgY5syspPsnk7LuWVtTpMSZw4YLtxvLkDwONRRECAUjJ+4XiyLqqhGJ\nJCKVQvik1SY7pNOclVxEaaxDqKqsxVoWSiyKMTyCWlYq+QSlcWdgVw6fRVSUkmkug6NnUAIBzEgg\nP+Ah6+1qLOIkutysTo3HnJtKKIpkfvt8NnM7C+taUSMRJrYECRwYQIxOYWWzmLNzeI4N4COAsvcZ\nFJ8P4hGUijKsiSm0riGiXWn02lK0xSyjt20msb2OkgP9qBXlLFzSguuMRGC5vcEiz4Bl2HRdJzRi\n4n30BGJVE8bpbgLjyxO+pesO+sVcWCDbUY+WVP5bTSiAkVc28I37t1H20Dl+E9rO+y9/kCNnno/r\n6e4ihm5h0nC+N5NBKYtL6Y3/Jrz+GD+/Y2VBzdhMxDl+gNAT/RjuViL/VdysVirK8U1b7Pn1BrSu\nIbSqSu77wCPcn4hz4Jpawj8/g9iylr73wpHL76YqMsze320ABSZ3x9EDgjO33s3dG9qp/odxxDNd\nxUkDVkwaU2/oxHdY/n6habKkUluBS/ViPXMaURbHXCVBCUvPRc6xTn5Y0PPB9QRHXSQrXfgPSUiw\n5dZQMyZ6S5UzkXAOZ1IyxJ1ZeoFygOrzSVl/oSK8XtQj3SjtzegbK6lqAAAgAElEQVQhLy7VLYU9\nZ+fQGupItkQRJSWI/hGUsjICJ8cwIn6SOxpYaA3jeeQIilAglUY5eg5rYipfOty0lvTGBhJr4niz\nHhRLQDyKNTGF0VyNurAoNayiUYQiUEtLMefmZZ+othyRSBXdS+bsXPH4oesgFNRoGMP2shFbOxDV\n5agpeb8rJSWolRUosYjkmZhylat2rEItKUEIZTl/pqCaYqUkwlIoCkPDC+z90RPsf+QEV99y6Z+F\nOf6cTRw5kcPCwamoPFIQiteLsI2VrEzGuciK1ysHKSFQYpH8MlnTIJVxhM0Qik39T0jyD3afIhJE\nZLJyv6m0TEqpDOpcEhCI1kaU2QX0vn6EqqKsX4XZbS+p7fKHlZSaOaiKTCRCRVvIgGFK/Z5jxT0N\nrboSs65cShZcugktIUUQczeVsmE1SiCAMTgsRRvbmkntbEH9/WGs8UlKDvQj3G7Su9fgnk7lSVLl\npaS3NJFqiKDuPYG5qt5JWEpVOYphYQ6O4HNF8Y9mcSluFrbVMrFOI2TEEP2jclZYoOlUlDSwocwz\ns2gNdYw9r5yZq+sxYpFlwoK5yF69FW1wiuTmar73yc/yhepXEf3NAN3/vovYwyt/Jt5r4fn9SYRl\nEds/xU+bLsV34yTuo6UrCvQtjZWSxvjtnUWiiAA972pm4qU1xB9awcBoaGzZSzNX1hPY10/qRTsc\nKRmtJIiiW6iPS8XZ0det5y3PP8iLHn8tweEISu8wYmwKzarnS2cu4eGRddT+dpHAfQcJL4T49r99\ngV3feTfltx7DTC7+tysLkNBSz+/y/Q+tqhLh98GJc84APnPtKvSAC9fvbAvZsjJEa70USFxYQGzu\nYPaqFgb+vozASReB+w44iVhVVCeBueeyTpmpMNSOVQ5BLvedWm0NVnIRK5UivWs17u5hqTZrgXW2\nV5IGdYP+O7YR+t15XH0TqNMLKM31zLUHcacE4qlj+DJuSvrm5Cy/4LnQamukMOHkDFSU4p5M4rsw\nJ309NA1rfkEmrZSOMT0j+zhlYaxoEPPMOZno5uYwB0fkBNTmi1kZHa1S9joQIn8NbP273N/KQgox\nOQuxMEo8hjkyhnC7MIZHEe2NDllVVTWshQTGjA3zLURKKbLcpjTUwuyC1LjS9fwz7PNx/esv+ysB\n8I+NHNJBFMA+IY9tNuZsFy8hJBLCJpI5Vo2W5Sxhha06ac7PO0gmTMNeThogBFpdLcLrQSymMQZH\nHPKYMTGJWhaXnIRwUJKXBgYlF0AomEdP5QmFtnibGpVN99zxWaGAlEmfn3dISYXQYn1gkESt/F3K\nE0cwJqdQ17aTuXa7JNCd6cXszZd+jK4ep9HpRFMdrkcOkdzV6kiqm8dP4374AL6fH5APRSZfSjC6\nezFOnJEJz5bu1s9fIPDYaRp+NsX5FxdgyNevbG8JOAgSva+f+Nf2ktqUZLb14reo65FDjN+6heD3\n9/G6O+4gZvf8Te/KdV6Q8Fk1HiOzaw3T16/hDc/7PUO9pctkzy8WiZt2LoNQLoXWAhgei7a3X9wH\nuigU1UFNeX+xX9bLN3fIZq7XRgMK4XyPq99DJixxLZau45nWWf/SU8SPiLys+bEzfGrkGj7wkp/K\n/tYKPjQ5pE8hsqwQWqu2NbPYUb3Mojf8nX0EfphfHRnj45jPSPdIsbmDxdoSvNMG8Ue8DoABgF0b\nitA+Djx8aaQzmImEw5FRV7Vi+b0Mv2YNM6/rZK7JjVku7/lcM1jyq7KYLli8bDWLz1stkZSjE4SP\nz2AdOoHi9ZJqjjvOgjmoulZXizk1jTK/iBIJo84mYGRCQu+FwEynZY+lrhYRDsnjml1AnZzHOix/\ntzE9jVItBQ71kVFwuzDmFmSTP8cYLy8r5igViC8KVZH/EvkEb0zNyFVDQS9IHxnFmJmVCSIYRAkE\nHNSlUFVJND7VtQywoVaUr+it8z+N527icNsQyUzWWYIWoh5y3AaQ0EM1Kp28cqxLhCjiaDgyCwU1\nxZwCq1ZVKY1ZANV2C9SHRySZL5uRD6MNBxY5Il+BX4eVyaCWFpB3FFWWB4RAREKSBRqPyTKR3WxV\ngkHnJpy/vB3z+Zsxny+5BYZHONhxtbWJZEMY354zWAePy2PWdYklXwmKum41Y5fIh9K/9yzKXLK4\nv2NZqJXlWIckX2KpS5xWU41WU+00+UUmS9tX5WwpdeMOsuGL+1AvdJTmodBA8xdM6j99SCavFYhT\nud9qXLEFLWky8cIUansL7W/Nk9iWHh9IqLPr8aOEvruPvS9dTfOP/3gv5omNCj3van/Wbc5+dTuW\n++LJa2mMvHNn0d96Xz962AOK6rgCqpEIysY17Dj8SkLnJE8mF9OrPRx9cA0LdfnZ55mvbOLYZBVv\nDI9grVSmBdJtEna6EvILYGpnOX3XPzvwspC7AJBsKGG+VsXz0AFKn7Th5HYCMF2SU5Lz+nbUBIQo\n8pQ3+4fQamuY214j4cdbSqXbpg9cSZPoqUWEYRXxf0A+e01fPIV/bzfu6Qx4PRKZFbLh8KkU6qK8\n1ub0DEpTPUpTPam2CkRTHaTSWNVlGLEAIhp2VghWOo2ycQ16VRS95zxWMimRUotSrl0tlXB4K5F0\nXC+N0TG0OjmgO2NGLFxkoZs7fnNoBDwe8HjQh0fyKsWmIZnlE5NoDXUSnm5Pds3ZubyHh2nK3kg2\nU9zzKI3L5FJSsiz5/6nx3E0cpoFwufPSAgVLuhzu3rGJ9Xml8VDh7MeyUMviqNHoirj+onC75OAe\nCWMVMLa1mur8zWFneyvglxDgsXxZxBgdKyLraOUSmqePjGLZvh7E7ZptOISyYbV0EoyHUMvKCO3r\nQ33yGOqTcsodPJ/EqC2T0OOeC7iS+jKioj48IklLNdXOAyw0DfP4aSoen5Be3jOz6L19WKsapF1t\nZYU8pyNjGM+TUErrwDGpxJuzv1QUUBQSl66Sv8myHNKkez6L9tunyV69dcXT6Lt/f/GsyDYZWqwN\nQOnKiaPiC3tQH3uaRIWGNe12zItyYR04tqJUg1ovBzO95zzao4dW3PdKEdo6QcNHlq8wCqPuQUHb\nf2WKrEyfLSr/Q87Ksy/clj++3z3tnGOQk4uhK6NsLB1i8ca8EoCyaS2lRxdpuPM4d7z2Pobet5s3\nnu2l97r/JPloOde/4FV5suaScB18Fqc+v5/o8Tna3pcHHGgNdYzf3ukoHkBeEj53/S0lvzIyunpQ\n25olSTMSRrVh4PqI9P22bH9wLAvG89wiZ6LnEfS8vpbob3tQ17YT7jUIPdELqiBdGYDWeicpTW+v\nlM+eZSIiIbTjvcxtrkK/aiuWqqBfuVWaLdn8G2NzO2bYjxn2455MIhaSssc4PoN18Li8Z22QDIBY\nzKDOJB1uBhQoCJfFUCvLMUbHUGZkiVuNx/IGb7mYmCni/OSui5lKYYyOOYO7Ggnn5UtyFs19/Vih\nEoTfJ5nuNrBGjUbRh0eWrSaUYFCSPw0jP1n9M8ZzN3GoavFybUl9t3AFsSL2WVHlxZyeRimTA3kh\nq7ZwUDAnpuwE5MM8ftp5XR8aLnpolY1rsFSBCOYFFIXLndfLsp3y9NExqZ0VCUsC0YFjGN3nMRsr\nsebnZVkgHkEZm8YYH8cKBRDr2hHr5KxN7R4kWeOTS3W7RGEuLkH+2No5+uAQ6vBE0TkxTnVhdPVI\nsh+gB9wo8Zh82LMZe0UmdyOtcOellHo0Kldb/QNoiwZaQx3T28tZuHkXqRt3MNzpQ9m4hqHnuen6\nws6LJuTCAZQN7bhms+ixEkcqpTByg1jp4Vksn8lCe5Tef+l03rd2b1yRDNX7muoiZ0I1Ei5iR18s\nojd0SXMge3W3UiTLVa79yuMYJcUP7EpSKoXh+nUxKizHXwAQ9dXoPjj1mXXUvPwEZ+/ewenP1vGa\n7/+a87dbGHNz/HBNJVoSLvfJlbUlLu6XDjD94g45CHVuLH79bztJXbYW88jJPOx4bTuDL66j6qGB\norKeM2DZE5PAw3l2t1pWhtHVQ9X3Tkk9qCW6U4WR4zrkJhXDN9YTGEpT//E98jk8eRb/fU9hjI7h\n7pskG1CxTp5zuEPRx8+zWBfEaK+XfIyqctyzOuqijprM4BmZl5BUe+WqJLOYLhXTpSJSWVAUaems\naSRfvtMp/+Qmk8bZcxhnz8ly7MY10oGy0eaBnOpC7+uX5zKVkmNPJm/qpLY2yXKUJscksW0d+lVb\n8yV0jwexfT1i+3q5OrDPlXC5Uarykx6zuw9jSnqqqKEQRMOOZtbSMOfnMUbHpPxRofBngZLAnxLP\n3cSRXtnhDygSJFsauRlBoV2sbs8cColr5jOnnSW3EovaCWiJMuuSZCVSWcTQuEMAkkqzGUfHKrdE\n1WqqJZejALOeV8uUl0yYec8Oo6sXZXwGZXxGSoPoOr7792NMSujibJNXfl5RZRmpY5VcYodCoEii\nl9reIqGUq/IsbvPoKQDmGjwsbKom+bKdWJ0bsS7ZxHCnVw6EqiolEJ4+XSQc5z09zMKGKsI/OUzg\nh/vw//Y48eM65pGTCF3gq1lg7PVy8M2x7MGGfrqEkxBm20pI1HpRF7P0Xb+CZpY9iCkTs7R/LUXJ\nuTlaP30atbVJPrAnzy+/yEDdP+/B6MmvMM2FBO6HD3D+E50rbg8w/tZOjMu3yPP15LGLbme+aIq/\ni/XQ957i659aVbls21x/aiXNq8I48+Y4ydYM4SelyF/7W/dT92ON76yuJfR7H33/tJtfDR3h3vd/\nnpccfz0A6dIl919OXWDdatSKciJnJTFWPHVcbm+zwEv3jOL+1UFZzlzThn7VVs6+MYZv0izqgeTC\nuHwLM1vlAGcmk1K7yrIQNkHOmJ6Wg+WVW50BeaXQGurwHuuXdX0LlN/L1YHQNOfeHH3nbsyRMQJP\nnkN4Pahtzc6su+TMOOw/xsIrd2J5NDyjEv6ajXjJlAeYe36z5E8AlktBm1xAm1zAPHcec2KK1KVr\nMCoiBP/QgxkNOd8NYF2yicWX7pDoRE3BPZZAzCWKSqhKNAJCKu2KilLn2prRAGZIgmfUsjJE1iAb\nUBFum8ArBMqZPpQzfc5EUwkGsfQsltvl6OFZ2YwsXyWTsi/b1YOZTBapT1zsvDpxEZ7H/9sQ1v+H\nvrT/f8bZg+est+/4YNFr0hRGX/b/XKilcYyJSTl4JZPSvrK2DHG827k4it8vG2aFK4mSEsxEwmGW\nF+5LjUblqqWkRMIFUym0hjomL60henzWGZyXHmPRsW7uwDp8QkoM1FRheVzSzN6uTWuVFU6zUAyN\n5xuGtTVYtvBa+rrtlBwfxhyfkEmpcBZiM3W1pgbMcAnmkZOoa9sZuLaU2m93SZ2tjWvIlPrxnhxE\nH5YN/6Eb66i+/zz64BBC05i4dTvx/1y5jHPuO5tpea0cCHLnZO6WXVJAcIVwzsPmDrki8vuY3VxB\nKqIQ//qzl4pAIp0AfJNWUSM3Fz2f7sQzJVDTUPP14w6TX2tuLNIjKwy1YxWt3+zhgZPrqfilm9D3\nVj72Xw3JvsT2p2+m/J1pR9E1dx0Lf+Pge3aQjluoi4L6j+cbyeqqVodRnWM9p27cQcnebufajbx3\nNzXf7V5Wv27c7+PY5zYS3T/sfDfkk5NREcE6eNx5PXXjDrwP7HcmTcsaq2va5IrvyWI/ca2qsqjE\nCvlrCxQ/D61NMlGbhlP+WdoYn3xjJ/ETCWZb/cSftI99x3qStX684xnU/SdhbWvROVTjMQmVdbtI\n1QZxP3zAUYfQKiuKVpv6VVvxHJcyLJlrt+M7IJ+f+ee1SUmRkxNFXCTh8UhHzwujjLy8hejZDJYq\n8HVPOKRbs7EKZSaR70vsWI/pVnEd75XOljaXwlGFCIWk5IhpYYyPy/J2Jotil6fNcVuCZFUrDI8h\n/L5nlw+x951z1iyc3KqR8DJv+7v2f4r2bS1/smjVcxeOO5n42MOFfhxIeY2cUxam7GHkCD5gO3Il\nFx3ijpVKYQ2MOAO5VlcjtWuy2SKYr8MsL0hEDo/Cfj3nIKj4/WBZuJ/qctjKgOMgaF62EdE3Ujwz\nGBmXcL+2BlkhmpqVvsXYMg0N5ViHTkg3u+QiYts61EgE49x55zg8eBDpDMbMTJ4k1NqEUlmOWJAM\nV3Nm1mE6W+OThA6OIoSQ8ELTwvJ5SLbFUKor4MgZSg70Q1MNqS1NqGcHJLN6SeQsSBfbmgmnw1hN\n1cxvrMB9chCrsRotFkeZmkcp8RdBpfXLN6ONzkJFDCMewjp2BvepQfyHV4bZdn1rC6UPTKI11kmP\n7PIqPLMm45u1Ff3Ao78ZIPREP3p7LZ79BZ4i0yv7UeTOSfB/efju+u/zH8p24vev7Ofx2cuu4IgV\nJH3FaBHUVI3HiuG8pklwTz9+dxWvfM9v6f2yHLi1ygqMgpl9elsLblcJ6p5jRVj9wP4h9G3tjldI\nz6c62f+tB/j8u67FP7yIecKW1elYhTU+SXZrK0asBG3W5l/YfT/t7CDp67Yz8tI6QskAytQcSlO9\n4x8hkinoKT6HFz6ym+CDxZMeANHeiOrySA6UYTiujNbUDOxcDwPynDjQ9q0dLO5owmirQfcrJCvc\nlD0uk4YaCqFaCpNbwwR/dlQ67WWNIta60lhLtjJIoqEE73iaqWua8Ro+1LSJMWZzfS7dhNVQxfBu\nL5FzGayZOVy+APPbqkk3xdEWTbwPPb3My0W/fBPKE0ewEgmCmQCZmBdf36w9019Eqa9GJG3uh25K\nhYaUjjZr90Jy196yZKO6JCCTqq4jALWsFGNsXI4fqbQEMeSUKmbnsEzTgfcDxeTAXOSQWbXVEsre\nWO/cw1YqzfyrdxXB2W94+3XEK8J/5XFcLFILix9rXFvLrhuk+N3wSEIaGpkGSolcUViJBEqJHwwL\n4dKWw9VsUyetvAxzbq7IYEZxu1HLSiX7NBR0yD1aUwNKNM/5yCUdh2wYiSBcLlkLNU1J6PH6pLxH\nchHNG0DBnnHbnBIaa7BiYZRURgox5jzPsWvMBXA9dVUrqArmsdP54/H5MC4MYGxsRZ1JoNTXYE3N\noMSiJFtiuHpGUeIx+3zkbT/V1kaMoRHJT5mZRfSP4J3Jkq2OoJ4b4sJHdpOJegl9fznsVG1rxpqa\nxpydQwkGKcmGMEpcuJ7uxqyKo3UNYbRVoz122LaQlQ9gLtEovcPyOIbG6H1nM7Hf5ZPpyLt3EzSL\nSXTxnw7LZXwO9981hNY1tGLSKIw/hjRY9LtuDfIfvZegHgwR3LPyvj1TjWy6/iznT27HZWoO8/li\nxEGte4j+++udAdFcSMh+mD2xULuHsJaWQYHuz+1kw22nOVW+jYkX1dK8rZ9/+s2VTK8TBPpVtPNj\nnPvMDuIPD0h14cYwhlfFCLiL7HwVv5/Bm2uwXBD+7iE50bFtYEFOjHLaSiBXElZlheOZXhiiqhwz\n5IehMeZu2YV7wZATIXDuU62mGiUUZOgN6xGKi+DpaQZfEKT0mQyB+/aT3tGGUl6GomgY586T7qgl\nOJiyuQsCc/tahl/TTHpdLd45EBYYXhXXI08zfU09nlmBe0LqxikbVsOB44gLI0QnvBhnzqGWlqJY\n4FoUuKczqH84Igf3SBh0Q8r1N9ajjcw418Qan0Y7O4A1MSVBCS4VFhKQXISFJOZiSo4rM7NSjqiq\nAqWiVCZ9PODzIlwueX/mgCq6jnC5UCIRaZRmTzDBVpbIne9gEDUWhbLYikZlYDfqTVOqKhRMLvzD\nSXZetZZX3PFidr1oG/VtlX8Wz/H/K0pVKy3jwC7l+DxFy9Pc9orfL2cHiopQxLM29hBCQmXbG1HG\nZ8A0saIhxPQceD2gG04TT/F6UcpKsZJJhNdLtqEM14UJMi3luMYTMDohuRf2kl+/aiueA12S++Fy\nS6Mnr0cOLn4/IhRA7+t34IyOeKO9XF8pciUG/cqteJ7ulr4cdu3ZCpUUsbu1ulqZNLxerPl5lKoK\nMvUx5ms9zLYoNN97QXIjQqEi4cbCMoV8QZXkxNIwQ1dEqHl4HD3qR5tMFPmgrBTZF25DS+ioR7ou\nihByjndJeaLovcb6lXkDdiz9Dc8WS8tOhdH7yU4sFRBQ8ZRJ6KS8DmIusbJwY4GQH8DM6zoJdycR\neyXBDkVl6O92Uv3ZfCnrplNjvDmc39eqe26n6WcLKMkM6AbGmW76Pt5J3W9SEkmkqGDJxHvuMzsJ\ndQuqftFHur2Ssc1eyo6k0X5bjC4TWzuwDp2Qsv0FMNLMNduWiUCq7S3LYL1qxyqnOV9YwsopGacj\nLgdWPHfLLsJnF7CePsXUrTsoe2oq/9nWJplEm2pINIcIHhhg5pJ6gr0JsiE32qOHENvXO7LrWmM9\nenkY06ehe1XcvzooE4gQZOJ+tN8eQikpIbtDKgu7D5/Dqq1i5PIY5XfukWXCqB/2PSPHDiEQ9TWY\nYT/q2AyYlu0nPoe5rgWtXwJUrL4BzFTK8fcQbpcsQZkmVjIlBVOnp22+mERiKn4/orE2/9za51EJ\nBmVpO5lc9iwve7aQyV+pLMeam8daSCx737xsM8ofDnPX05+lfVPDn1yqeu6q4wqBcLkdbPNK6dFa\nWMC0yX6K349SUSblmIWQJiizcxdNGkWqujm3wSMnyRWYVNPEioWlENncvLO9mUphjYw5dWR1bh59\nfh51dBzam0htbcb16yn01fWgNEgUVjSMVuLHioWxzvU5N5GlqphlNWiqCnPFA2rhjaY1NzK7pYLQ\nI6cxZmYxy6Moc/P5pFFbQ7ahjGxAw/3rQ3IAXdsoZ1yRAFZlFGVokvTuDvnQ9fYRBiIeD7rNYxl6\neTMVX9mf78uU+KHw5jUNOfgMDFJtraHvZWXU/XL2v00aINFGaijE+Ks2EBjScT984KLbOlL0dkNQ\n7+vPJ8qCpKFVVpBprXIIc8LjWTFpqBXlRT2EwQ/uRtk1TdVLL04Y9I0JkpUWetig5Cf7Gf6ZRODN\nDNfS/tbixKHV1TK8xUvV7/KvxfcWYPlBksh8+T8XX7qDC+m9ND1wA83No0w8UEvjv+9BWZL4mu86\nlz9206Dvn3bL/T9j4UqYTF5eDwLqfnSBTKM0jtIvDDLz2h3yGGzgQWHSGH9rJzNrTdp+VfyblyWN\nNW1YF2zSrMvN6CtXEz+eROw5ylyDRBON7zKIVnZS+cMzBPrTmC6VhVdux5W0ME6cke6SC0n0WAB6\nLqAuZphcoxE8rBL44T4swOXxYCGtAjKXbQYFrIkkk+sDLFYIGn40Am3NGF4XaiKDZ2AGAwmF1fbI\n32etbmboyiieKVsbKpNF6xvD8HhQ6mswunrQ5hagpw9d1yWR8PL1uB8+gDh6FqulATE1m1eubqpD\nGRiWpaoxHNn03MRVbW3CGhl3TOXUbH58MfsGpC9QVofZBWlDXYCIXMpdcUA+pimh5ZUViEgYc2RJ\nYsnZAKzgH/Q/iecuqsqyHPOmHIx2KYlMWkZmJKQ0mXQaiWYqJR8Wy1yWNHIXrlAqWa0oX+6wlclK\nWGt3L+ZCAqugDKbW5ZElwuuVrNdshvn2CK7fHJLlse4htOkk3vPTmDYED0ApYC3LZHVa+goMDEoW\num0S4+j4I7kKgV8cwWySzVHrRJeE5+aaoYuLiCeP5GeRFaWw7xnmNlfRf22ERJ1f9nbsuyXHnM4t\npS+8tpnyl19g9C1529Glq51CNI159BS1n9yDOrPA5Bs70WprHKJeDsWi1dUy8t7d+f3NzRG7Zy8j\nu1z0f3h30b6nb80joRwIcV8/el8/86/eVaQxlotTn5ZS8LnvLSROia0djL5LfocxKksuuai76xi1\nHzJYuHmXA6dcGlrS4sUveIpgl8bUbZ0oiomimEXERCd0ndp7TzF8x24Wbt6FdckmBm+oYuHm/Heq\nkTCB/vzUJ1Gh8onyY/Te+DWuKD9L9WPTzjkCOPfdTRKscF2L83tQVBo+uoeGj+4h8q29aG8ZZXwr\nXP2+J6Wt7B8OM3lpNVpVBTPtNmov9/020s68bDPpqKDtXcWlydwzodXWOJ4cxqkuaJDwYyubIXw+\ni6tvnPR12/FNGPgmDNb+6ygV3zxKanMTC3Ue0nEPasYi+H0JOpjbWIY+PMKF64Ooa1oxunpo/N4A\n85slV8rq3Civm6IydWktStaQSKx0hvKfd1P36zmSrXGSrXGMEhd6xCcl2CvKyb5wm+OBYR49Re2P\n+oh+c6+8/7I6ePOy5lpdrex32mVnM5XCO7wg7QjSaRgaLV7l9lzIox99eUdDK52W+xeiSOLc6OqR\n2nElJahVFZL5PTwG4YD0M8+VcXNl8IJVt5lKOf8gz5GRF0aVROccUtT+7j9HPGd7HJND0x978G45\nLXKa17aXxlJImhqLyqWhroMlWbpF29onO4eeWhpWIoFaXiaXpn7ZrxBul9SncrlRwmGnzq0EgxAJ\nObVKa10L5nG5TM2uqcXTO4ESDGBMTKBkdazJaSnDXleN1XMhL1/Q3oJSWY45PpVX842Epf5OVSli\nfApj62pcils2zaoqUZIpOYiapo0FD0JLPfNbqnGfys8qha3s6To9SGjPEGZjJerpC7hGbBXPxRTq\nqlap9js9Q3BPP/116wgMm8xdUkdyWx3hYbOoZ2S116PqS2TsG2sIHh6Spb7FDPqmFnreUU/s1wOY\nc3Po7bVOD0Krq8WcmyP8u37S6+sIzXlQTAuhKJT0zOa1uJY0oD3HB1aUnI//dBgtbeL5WpKFiQ5H\nHwqA4XECT8n+xeB9HaTSPgJqGcr5YaxMhrOfaeTjt36PQ/9Zi3C5mH/pFtwn85/3HxpguGszuldl\nvlHg3edDnPZjNdbgOl2sXaVvboNoEHdC4L9/Pwu7Gyl/Yhxff0EDWVHJNlfgOSHPxf/54UM0uiz2\np7P8476XM18dKOrlxH4i+0G+I3L7vre2Mf6KqiLdLO9v/SjuMDN3lpDa2YJnJot731nM+Xkijw04\nvSL9yq24RmclKKOrj8jB8Tw/wRbOVJoboL4K8+w5xl5eD61fHqsAACAASURBVLU1LG6pQ7hcuMIx\nrKZqDI+CeqYfzR9gfJufVKmChg+rqpT5ejdqFkKnptDSFgyOMf+qXViqwGirwdQU/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5yQJNr36G8ds7CfYbeB/YX3RfF0UOkCCE7DOWxrBKfJgeF4nGAAAjr0zTfIs8P7lG9OSbOpnc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\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Fe7SI6XTxHj5BZzK885e+QraQwXU9fvzf+pJcSyBGao2NyfnGpOKjYQx6TOa26fcCkzJf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\nRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,1)\n", + "\n", + "ys, xs = im_final_rot_sub.shape\n", + "extent = np.array([-xs/2,xs/2,-ys/2,ys/2])*obs.pix_scale\n", + "\n", + "ax.imshow(im_final_rot_sub, vmin=0, vmax=1, extent=extent)\n", + "xylim = 10\n", + "ax.set_xlim([-xylim,xylim])\n", + "ax.set_ylim([-xylim,xylim])\n", + "ax.set_xlabel('Arcsec')\n", + "ax.set_ylabel('Arcsec')\n", + "ax.set_title('{} - {}'.format(obs.sp_sci.name,obs.filter))\n", + "\n", + "ax.tick_params(axis='both', color='white', which='both')\n", + "for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + "# Location of planet\n", + "loc = (np.array(obs.planets[0]['xyoff_pix'])+0.5) * obs.pix_scale\n", + "circle = matplotlib.patches.Circle(loc, radius=xylim/15., lw=1, edgecolor='red', facecolor='none')\n", + "ax.add_artist(circle);\n", + "\n", + "nrc_utils.plotAxes(ax, label1='E', label2='N')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/NRC_GTO_YSO_Imaging-Copy1.ipynb b/notebooks/NRC_GTO_YSO_Imaging-Copy1.ipynb new file mode 100644 index 00000000..4530af2b --- /dev/null +++ b/notebooks/NRC_GTO_YSO_Imaging-Copy1.ipynb @@ -0,0 +1,1385 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "\n", + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import matplotlib.patches as patches" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import S\n", + "from pynrc.obs_nircam import model_to_hdulist\n", + "pynrc.setup_logging('WARNING', verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "from astropy.io import ascii\n", + "from copy import deepcopy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Observation Definitions\n", + "\n", + "Functions to create at optimize a series of observation objects stored as a dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def make_key(filter, pupil=None, mask=None):\n", + " \"\"\"Create identification key (string) based on filter, pupil, and mask\"\"\"\n", + " mask_key = 'none' if mask is None else mask\n", + " pupil_key = 'none' if pupil is None else pupil\n", + " key = '{}_{}_{}'.format(filter,mask_key,pupil_key)\n", + " return key" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def spec_modify(sp_sci, kmag_sci, args_disk):\n", + " \"\"\"\n", + " 2MASS K-Band mags include disk flux.\n", + " Modify stellar spectrum to exclude disk flux\n", + " \"\"\"\n", + "\n", + " # Determine real stellar spectrum. 2MASS K-Band mags include disk flux!\n", + " filt = 'F210M'\n", + " bp = pynrc.read_filter(filt)\n", + " obs_sci = S.Observation(sp_sci, bp, binset=bp.wave)\n", + " tot_flux = obs_sci.effstim('counts')\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt)\n", + " disk_flux = hdu_disk[0].data.sum()\n", + " star_flux = tot_flux - disk_flux\n", + "\n", + " # Value to scale stellar flux\n", + " scale = star_flux / tot_flux\n", + " kmag_sci_new = kmag_sci - 2.5*np.log10(star_flux / tot_flux)\n", + " sp_sci2 = sp_sci.renorm(kmag_sci_new, 'vegamag', bp_k)\n", + " sp_sci2.name = sp_sci.name\n", + " return sp_sci2" + ] + }, + { + "cell_type": "code", + "execution_count": 270, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def obs_wfe(wfe_drift, filt_list, sp_sci, dist, sp_ref=None, args_disk=None, fov_pix=None, verbose=False):\n", + " \"\"\"\n", + " For a given WFE drift and series of filters, create a list of \n", + " NIRCam observations. This function will calculate PSFs out to 160 pixels. \n", + " However, for the case of F200W+MASK335R, we will assume that the \n", + " subarray size matches that of a simultaneous LW observation (320x320).\n", + " \"\"\"\n", + " if sp_ref is None:\n", + " sp_ref = sp_sci\n", + " \n", + " obs_dict = {}\n", + " for filt, mask, pupil in filt_list:\n", + " if verbose: print(filt, mask, pupil)\n", + "\n", + " # Disk Model\n", + " if args_disk is not None:\n", + " # Convert to photons/sec in specified filter\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt, pupil=pupil, mask=mask)\n", + " else:\n", + " hdu_disk = None\n", + " \n", + " # Create identification keys\n", + " key = make_key(filt, mask=mask, pupil=pupil)\n", + "\n", + " # Define the subarray readout size\n", + " # Set the PSF size and oversampling amount\n", + " fov_pix_orig = fov_pix\n", + " if fov_pix is None:\n", + " fov_pix = subsize = 64 if mask is None else 320\n", + " oversample = 2\n", + "\n", + " # Initialize and store the observation\n", + " # A reference obseration is stored inside each parent obs_coronagraphy class.\n", + " obs_dict[key] = pynrc.obs_coronagraphy(sp_sci, sp_ref, dist, \n", + " disk_hdu=hdu_disk, wfe_drift=wfe_drift,\n", + " filter=filt, mask=mask, pupil=pupil, \n", + " oversample=oversample, fov_pix=fov_pix,\n", + " wind_mode='WINDOW', xpix=subsize, ypix=subsize,\n", + " verbose=verbose)\n", + " fov_pix = fov_pix_orig\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def obs_optimize(obs_dict, sp_opt=None, well_levels=None, tacq_max=1800, **kwargs):\n", + " \"\"\"\n", + " Perform ramp optimization on each science and reference observation\n", + " in a list of filter observations. Updates the detector MULTIACCUM\n", + " settings for each observation in the dictionary.\n", + " \n", + " snr_goal = 5\n", + " snr_frac = 0.02\n", + " tacq_max = 1400\n", + " tacq_frac = 0.01\n", + " nint_min = 15\n", + " ng_max = 10\n", + " \"\"\"\n", + "\n", + " # A very faint bg object on which to maximize S/N\n", + " # If sp_opt is not set, then default to a 20th magnitude flat source\n", + " if sp_opt is None:\n", + " bp_k = S.ObsBandpass('k')\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + "\n", + " \n", + " # Some observations may saturate, so define a list of maximum well level\n", + " # values that we will incrementally check until a ramp setting is found\n", + " # that meets the contraints.\n", + " if well_levels is None:\n", + " well_levels = [0.8, 1.5, 3.0, 5.0, 10.0, 20.0, 100.0, 150.0, 300.0, 500.0]\n", + " \n", + " filt_keys = obs_dict.keys()\n", + " filt_keys.sort()\n", + " print(['Pattern', 'NGRP', 'NINT', 't_int', 't_exp', 't_acq', 'SNR', 'Well', 'eff'])\n", + " for j, key in enumerate(filt_keys):\n", + " print('')\n", + " print(key)\n", + "\n", + " obs = obs_dict[key]\n", + " sp_sci, sp_ref = (obs.sp_sci, obs.sp_ref)\n", + "\n", + " sci = obs\n", + " ref = sci.nrc_ref\n", + " \n", + " # Ramp optimization for both science and reference targets\n", + " for obs2, sp in zip([sci, ref], [sp_sci, sp_ref]):\n", + " i = nrow = 0\n", + " while nrow==0:\n", + " well_max = well_levels[i]\n", + " tbl = obs2.ramp_optimize(sp_opt, sp, well_frac_max=well_max, tacq_max=tacq_max, **kwargs)\n", + " nrow = len(tbl)\n", + " i+=1\n", + " \n", + " # Grab the highest ranked MULTIACCUM settings and update the detector readout\n", + " v1, v2, v3 = tbl['Pattern', 'NGRP', 'NINT'][0]\n", + " \n", + " vals = tbl[0].as_void()\n", + " strout = ', '.join(map(str, vals))\n", + " print(strout)\n", + "\n", + " # SW filter piggy-back on two LW filters, so 2 x tacq\n", + " # Only for Debris Disk program\n", + " #is_SW = obs.bandpass.avgwave()/1e4 < 2.5\n", + " #if is_SW: v3 *= 2\n", + " \n", + " # Coronagraphic observations have two roll positions, so cut NINT by 2\n", + " if obs.mask is not None: v3 = int(v3/2)\n", + " obs2.update_detectors(read_mode=v1, ngroup=v2, nint=v3)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting contrasts and planet magnitudes" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def plot_contrasts(curves, wfe_list, ax=None, colors=None, return_ax=False):\n", + " \"\"\"Plot a series of contrast curves for corresponding WFE drifts.\"\"\"\n", + " if ax is None:\n", + " fig, ax = plt.subplots()\n", + " if colors is None:\n", + " lin_vals = np.linspace(0.2,0.7,len(wfe_list))\n", + " colors = plt.cm.Blues_r(lin_vals)[::-1]\n", + " for j, wfe_drift in enumerate(wfe_list):\n", + " rr, contrast, mag_sens = curves[j]\n", + " label=\"WFE Drift = {} nm\".format(wfe_list[j])\n", + " ax.plot(rr, mag_sens, label=label, color=colors[j], zorder=1, lw=2)\n", + " \n", + " if return_ax: return ax\n", + "\n", + "\n", + "def planet_mags(obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Determine series of exoplanet magnitudes for given observation.\"\"\"\n", + "\n", + " pmag = {}\n", + " for i,m in enumerate(mass_list):\n", + " flux_list = []\n", + " for j,av in enumerate(av_vals):\n", + " sp = obs.planet_spec(mass=m, age=age, Av=av, entropy=entropy, atmo='hy3s')\n", + " sp_obs = S.Observation(sp, obs.bandpass, binset=obs.bandpass.wave)\n", + " flux = sp_obs.effstim('vegamag')\n", + " flux_list.append(flux)\n", + " pmag[m] = tuple(flux_list)\n", + " \n", + " return pmag\n", + "\n", + " \n", + "def plot_planet_patches(ax, obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Plot exoplanet magnitudes in region corresponding to extinction values.\"\"\"\n", + " \n", + " xlim = ax.get_xlim()\n", + " cols = plt.cm.tab10(np.linspace(0,1,10))\n", + " \n", + " dist = obs.distance\n", + " \n", + " pmag = planet_mags(obs, age, entropy, mass_list, av_vals)\n", + " for i,m in enumerate(mass_list):\n", + " pm_min, pm_max = pmag[m]\n", + " label = 'Mass = {} '.format(m) + '$M_{\\mathrm{Jup}}$'\n", + " rect = patches.Rectangle((xlim[0], pm_min), xlim[1], pm_max-pm_min, alpha=0.2,\n", + " color=cols[i], label=label, zorder=2)\n", + " ax.add_patch(rect)\n", + " ax.plot(xlim, [pm_min]*2, color=cols[i], lw=1, alpha=0.3)\n", + " ax.plot(xlim, [pm_max]*2, color=cols[i], lw=1, alpha=0.3)\n", + " \n", + "\n", + " entropy_switch = {13:'Hot', 8:'Cold'}\n", + " entropy_string = entropy_switch.get(entropy, lambda: \"Warm\")\n", + " ent_str = entropy_string + ' Start'\n", + " #ent_str = '{} Start'.format(entropy_string)\n", + "\n", + " av_str = '$A_V = [{:.0f},{:.0f}]$'.format(av_vals[0],av_vals[1])\n", + " age_str = 'Age = {:.0f} Myr; '.format(age)\n", + " dist_str = 'Dist = {:.1f} pc; '.format(dist) if dist is not None else ''\n", + " #dist_str=\"\"\n", + "\n", + " ax.set_title('{} -- {} ({}{}{})'.format(obs.filter,ent_str,age_str,dist_str,av_str))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def plot_images(obs_dict, hdu_dict, filt_keys, wfe_drift, save_fig=False):\n", + " nfilt = len(filt_keys)\n", + " ext_name = ['Model', 'Sim Image (linear scale)', 'Sim Image ($r^2$ scale)']\n", + " nim = len(ext_name)\n", + "\n", + " fig, axes = plt.subplots(nim, nfilt, figsize=(14,7.5))\n", + " axes = axes.transpose()\n", + " for j, k in enumerate(filt_keys):\n", + " obs = obs_dict[k]\n", + " hdu_mod = obs.disk_hdulist\n", + " hdu_sim = hdu_dict[k]\n", + "\n", + " # Make r^2 scaled version of data\n", + " hdu_sim_r2 = deepcopy(hdu_sim)\n", + " data = hdu_sim_r2[0].data\n", + " header = hdu_sim_r2[0].header\n", + " rho = nrc_utils.dist_image(data, pixscale=header['PIXELSCL'])\n", + " data *= rho**2\n", + "\n", + " # Max value for model\n", + " data_mod = hdu_mod[0].data\n", + " header_mod = hdu_mod[0].header\n", + " rho_mod = nrc_utils.dist_image(data_mod, pixscale=header_mod['PIXELSCL'])\n", + " data_mod_r2 = data_mod*rho_mod**2\n", + " vmax = np.max(data_mod)\n", + " vmax2 = np.max(data_mod_r2)\n", + " \n", + " # Scale value for data\n", + " mask_good = data_mod>(0.1*vmax)\n", + " scl1 = np.median(hdu_sim[0].data[mask_good] / data_mod[mask_good])\n", + " \n", + " # Scale value for r^2 version\n", + " mask_good = data_mod_r2>(0.1*vmax2)\n", + " scl2 = np.median(hdu_sim_r2[0].data[mask_good] / data_mod_r2[mask_good])\n", + "\n", + " vmax_vals = [vmax,vmax*scl1,vmax2*scl2]\n", + " hdus = [hdu_mod, hdu_sim, hdu_sim_r2]\n", + " for i, ax in enumerate(axes[j]):\n", + " hdulist = hdus[i]\n", + " data = hdulist[0].data\n", + " header = hdulist[0].header\n", + "\n", + " pixscale = header['PIXELSCL']\n", + " rho = nrc_utils.dist_image(data, pixscale=pixscale)\n", + "\n", + " rad = data.shape[0] * pixscale / 2\n", + " extent = [-rad, rad, -rad, rad]\n", + "\n", + " ax.imshow(data, vmin=0, vmax=0.9*vmax_vals[i], extent=extent)\n", + "\n", + " ax.set_aspect('equal')\n", + " if j > 0: ax.set_yticklabels([])\n", + " if i < nim-1: ax.set_xticklabels([])\n", + " if i==nim-1: ax.set_xlabel('Arcsec')\n", + " if j==0: ax.set_ylabel(ext_name[i])\n", + "\n", + " if i==0: ax.set_title(obs.filter)\n", + "\n", + " if fov>2*rad:\n", + " xlim = [-rad,rad]\n", + " ylim = [-rad,rad]\n", + " else:\n", + " xlim = [-fov/2,fov/2]\n", + " ylim = [-fov/2,fov/2]\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + "\n", + " ax.xaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + " ax.yaxis.get_major_locator().set_params(nbins=9, steps=[1, 2, 5, 10])\n", + "\n", + " ax.tick_params(axis='both', color='white', which='both')\n", + " for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + " \n", + " texp = obs_dict[filt_keys[-1]].multiaccum_times['t_exp']\n", + " texp = round(2*texp/100)*100\n", + " exp_text = \"t_exp = {:.0f} sec\".format(texp)\n", + " wfe_text = \"WFE Drift = {} nm\".format(wfe_drift)\n", + " fig.suptitle('{} ({}; {})'.format(name_sci, exp_text, wfe_text), fontsize=16);\n", + " fig.tight_layout()\n", + "\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.9, bottom=0.07 , left=0.05, right=0.97)\n", + " \n", + " fname = \"{}_images.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Functions to init, optimize, and plot contrast" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Generate initial observations for each filter(no WFE drift)\n", + "def do_init(args_disk=None, fov_pix=None, verbose=True):\n", + " wfe_drift = 0\n", + " obs_dict = obs_wfe(wfe_drift, args_list, sp_sci, dist_sci, sp_ref=sp_ref, \n", + " args_disk=args_disk, fov_pix=fov_pix, verbose=verbose)\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "# Optimize observations\n", + "def do_opt(tacq_max, **kwargs):\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + " obs_optimize(obs_dict, sp_opt=sp_opt, tacq_max=tacq_max, **kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# For each filter setting, generate a series of contrast curves at different WFE values\n", + "def do_contrast(wfe_list, filt_keys, nsig=5, roll_angle=None):\n", + " contrast_all = {}\n", + " for i, key in enumerate(filt_keys):\n", + " print(key)\n", + " obs = obs_dict[key]\n", + "\n", + " filt, mask, pupil = args_list[i]\n", + " if roll_angle is None:\n", + " roll_angle = 0 if mask is None else 10\n", + "\n", + " # Stores tuple of (Radial Distances, Contrast, and Sensitivity) for each WFE drift\n", + " curves = []\n", + " for wfe_drift in wfe_list:\n", + " obs.wfe_drift = wfe_drift\n", + " result = obs.calc_contrast(roll_angle=roll_angle, nsig=nsig)\n", + " curves.append(result)\n", + "\n", + " contrast_all[key] = curves\n", + " return contrast_all" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_plot_contrast(obs, curves, wfe_list, nsig, age, xlim=[0,10], ylim=[24,8], save_fig=False):\n", + "\n", + " fig, axes = plt.subplots(1,2, figsize=(13,4.5))\n", + " entropy_vals = [13,8]\n", + "\n", + " for j, ax in enumerate(axes.flatten()):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " plot_contrasts(curves, wfe_list, ax=ax)\n", + " plot_planet_patches(ax, obs, age=age, entropy=entropy_vals[j])\n", + "\n", + " for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " ax.legend(ncol=2)\n", + "\n", + " fig.tight_layout()\n", + " \n", + " t_exp = obs.multiaccum_times['t_exp']\n", + " t_exp = round(2*t_exp/100)*100\n", + " fig.suptitle('{} (t_exp = {:.0f} sec)'.format(name_sci, t_exp), fontsize=16);\n", + " #fig.subplots_adjust(top=0.85)\n", + " fig.subplots_adjust(wspace=0.1, hspace=0.1, top=0.85, bottom=0.1 , left=0.05, right=0.97)\n", + "\n", + " fname = \"{}_contrast.pdf\".format(name_sci.replace(\" \", \"\"))\n", + " if save_fig: \n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_gen_hdus(obs_dict, wfe_drift, **kwargs):\n", + " \n", + " hdulist_dict = {}\n", + " for key in filt_keys:\n", + " obs = obs_dict[key]\n", + " obs.wfe_drift = wfe_drift\n", + " hdulist = obs.gen_roll_image(PA1=0, PA2=10, **kwargs)\n", + " \n", + " hdulist_dict[key] = hdulist\n", + " \n", + " return hdulist_dict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define Source and their Reference Counterparts" + ] + }, + { + "cell_type": "code", + "execution_count": 271, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# source, dist, age, sptype, kmag\n", + "args_sources = [('SAO 206462', 140, 10, 'F8V', 5.8),\n", + " ('TW Hya', 54, 10, 'M0V', 7.3),\n", + " ('MWC 758', 280, 5, 'A8V', 5.8),\n", + " ('HL Tau', 140, 1, 'K5V', 7.4)]\n", + "\n", + "# Corresponding reference stars\n", + "ref_sources = [('HD 94771', 'G4V', 5.6),\n", + " ('HD 94771', 'G4V', 5.6),\n", + " ('HR 1889', 'F5III', 5.4),\n", + " ('HR 1889', 'F5III', 5.4)]" + ] + }, + { + "cell_type": "code", + "execution_count": 272, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# K-Band Filter\n", + "# 2MASS Bandpass\n", + "tbl = ascii.read(\"2mass_ks.txt\", names=['Wave', 'Throughput'])\n", + "bp_k = S.ArrayBandpass(tbl['Wave']*1E4, tbl['Throughput'], name='Ks')" + ] + }, + { + "cell_type": "code", + "execution_count": 273, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# List of filters\n", + "args_list = [('F187N', None, None),\n", + " ('F182M', None, None),\n", + " ('F356W', None, None),\n", + " ('F444W', None, None)]\n", + "\n", + "#args_list = [('F356W', None, None),\n", + "# ('F444W', None, None),\n", + "# ('F356W', 'MASK335R', 'CIRCLYOT'),\n", + "# ('F444W', 'MASK335R', 'CIRCLYOT')]\n", + "\n", + "\n", + "filt_keys = []\n", + "for filt,mask,pupil in args_list:\n", + " filt_keys.append(make_key(filt, mask=mask, pupil=pupil)) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### SAO 206462" + ] + }, + { + "cell_type": "code", + "execution_count": 274, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "outdir = '/Volumes/NIRData/'\n", + "i=0\n", + "\n", + "# Disk model information\n", + "# File name, arcsec/pix, dist (pc), wavelength (um), flux units\n", + "#args_disk = ('example_disk.fits', 0.007, 140.0, 1.6, 'mJy/arcsec^2')\n", + "args_disk = None\n", + "\n", + "name_sci, dist_sci, age, spt_sci, kmag_sci = args_sources[i]\n", + "name_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k, catname='ck04models')\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref\n", + "\n", + "# Modify the stellar spectrum so that disk+star = kmag\n", + "if args_disk is not None:\n", + " sp_sci = spec_modify(sp_sci, kmag_sci, args_disk)" + ] + }, + { + "cell_type": "code", + "execution_count": 275, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "obs_dict = do_init(args_disk=args_disk, verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 276, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F187N Saturation Limit assuming SAO 206462 source: 5.22 vegamag\n" + ] + } + ], + "source": [ + "obs = obs_dict[filt_keys[0]]\n", + "_ = obs.sat_limits(sp_sci, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 277, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{u'nd1': 0,\n", + " u'nd2': 0,\n", + " u'nd3': 0,\n", + " u'nf': 1,\n", + " u'ngroup': 1,\n", + " u'nint': 1,\n", + " u'read_mode': u'RAPID',\n", + " u'wind_mode': 'WINDOW',\n", + " u'x0': 0,\n", + " u'xpix': 64,\n", + " u'y0': 0,\n", + " u'ypix': 64}" + ] + }, + "execution_count": 277, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "obs.det_info" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 228, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "for k in filt_keys:\n", + " obs = obs_dict[k]\n", + " obs.wfe_drift = 5" + ] + }, + { + "cell_type": "code", + "execution_count": 267, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "for key in filt_keys:\n", + " \n", + " obs = obs_dict[key]\n", + " rm, ng, ni = ('RAPID', 5, 100) if 'none' in key else ('SHALLOW4', 10, 20)\n", + " obs.update_detectors(read_mode=rm, ngroup=ng, nint=ni)\n", + " rm, ng, ni = ('RAPID', 5, 250) if 'none' in key else ('SHALLOW4', 10, 25)\n", + " obs.nrc_ref.update_detectors(read_mode=rm, ngroup=ng, nint=ni)" + ] + }, + { + "cell_type": "code", + "execution_count": 268, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F187N_none_none\n", + "F182M_none_none\n", + "F356W_none_none\n", + "F444W_none_none\n" + ] + } + ], + "source": [ + "# Full frame slope images\n", + "wfe_list = [0,2,5,10][::-1]\n", + "nsig = 5\n", + "contrast_all = do_contrast(wfe_list, filt_keys, nsig=nsig, roll_angle=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 224, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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HbUAZbS2LLcl4oxMi0hTI8/9wVTUH9yAMrD76Ne4hOdg7pxtum5cAS4FNIvIH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ZOxTpza5jwxQGIeCkPNYfJsmSzJm4rTV8YQswozloI2/BxaP+B2ApaaIJWNYZotGqPyktA6Uk5O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bgzML6ZladRfwmtrxAc542Y2qeqGITMAR48lV7GoYRj1jWl47qqvlblrT8wDTWLXcTR8QPS+r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wkkxE2NUxsSzGlIkhhlJXA3kPRmHXqyLkKDGTUxIsbrx38pIVP06M06DBRcHO+1+Knls9i9\nuyGfhWwWOTyMP9CP7OlBdnYgdneEPcuHQEDYG66XE+Pyq34Q4AXg+8E+y5GNhRAQMXUitoFhaGiG\nhmboIASi3AOuWya6ZaLFYmiJJCJdjVbXgJauRE9VIJKJ8PWIjeZ7SNdBxJJoqTTCOszRgYqiTKh7\n772Pe+87MIb/7E9rDjmGjybBvhO4a6+XJLBVStk+qgMIcS1wsZTyM0KIElAvpRwUQhiAC5hSSm/v\nbdQQ8cP3p9W7+fb9qxG64IbLZ3HdwmZAsrYrx0vbB8m7YfDTNUF90qIxGaEmbpKOGCQjBhLwfEmm\n5LG9v8C2gQL9eXefY8QsnbkNCU5rTGK94XJdklzJZ7joUfICHD/ACyQg0AiD3kiPcSAlXr6A076L\nkuPhjySwCCLD/VQ5GVJeASOXBbcYBmEJWsRGM81wqJiUMNIablnhl6GDkPj5HBAghEQ6DoHr4BVL\neLkiTraAM5zDK5QIHIfA8fDzBYJiCa/k4ruHdsPwZjQtvJGwTA3b1LEjJmYqgVlThVFbB1XVaOkq\n9IYmzIY69HgCoRvlQnEa0nPBKYUfXiwRFqHRVJKuKMeaY2CI+Jjj+FhiuBoifvh6M0U++IPnCaTk\nrDkNfP2aOQgBnZkST27up68cjwVQHbdoTNnUJSzSEYNUxMDQBG4gKbgBOwcKbO0v0JUtsXeOagjB\nKXVxTm9OURk9eOyQEopeQKYQxvCSF+CVp4OF8TvsRQ77lSWe4+J0dOJkc7hoYa0VoWMWMqTzA6T9\nInYhC4VcOYZLNMtEs+0wvu2J4TIsolaO4UITBIU8gfTCkWieS+A4eKUSXr6Imy1QGs7j5QoEjkvg\nuPiFIkGhhO+4uCX3oNc4FkKAoWkYhiBi6li2gZWMYVamMerr0apqEJXVaLW1mE1NGKkUYuQ+RTeQ\nvgduCXwfIjGIhjFeDWlXlGPLWIaIjybBfhYIgK3ANGBk7Y3fSSl/8CbbXgJcC3xWShkIIXYyitZv\nlWAfCZLP3LWUde2DRGMW3/3QQtpqwrU0fSnZ3JtjZWeWruHSqPdoaAJTE2zvzZF3fXRNI2LpTK+N\n897TGsZhTWxJ0QsYyrt0DztkS68luMmITn3KpjpuHbQX/cgJkI6D07GL7Oo1FLZswcsM4Q1mkE4p\nbKn3A/xSCb9YIig5SM97bdhbEI5n3zOkvfz4kAmwLB0ramGWl10b2ZcMJBIwbINIKo5dmcKorMCo\nrEakq/Aw8Iou3sAgTk8fXm8fQTEPrge+h9B0hBF+6bEoRszGSCQwKisxamswausw6pvQGpoQphXO\nffd8ZBAgAx+h6eHNgypmoygHOAYS7DHF8bHGcJVgHxk/fnILv3h2K7qu8Yl3zObP5ocj+6SEXZki\nKzuybB/IM8oZUmgCYobGrsEiAzkHTdOwTY3ahMX/WdhEbcI64tfg+pLhokfXcImB/GvtMBFDUJey\nqUvaWPr4xnApAd/F6+8lu2YtuXUb8AYG8DIZglwOZIDwfQLXDRvYSyUCz0P6QVh9PTgwfr/ZvfPB\nmGZYZ8aKWmGGvtdUt0BKdMPATkaw0ynMqjRGRSVaVTWeEcF3fNxMFq+nD7enB384C74bjobTBJph\nIHQNLRJBj0cwYjGMqjRGVXUYwxsaMRpaIBbfc98SXmP4ezGSSXT7jSrVK8rJabzmYP9BSvnNPQcR\n4h+klP8mhPjGG56MEO8ALgA+AzQKIVqBh4C3ADuB88rPDxAUiww/8cQoL0E5mH+s97h9zSa8fp+H\nbt3EB85pxSoPB2ssf7m+JFN0GSh45B2PvBtQ9HwEAkML51FVRk0qIgZb+/K8ujtLheeT9ANEeSj2\nsK3z1MoEZ01Oo4/DnKYYMAUoeT6ZgsdwyceV0A50CkjZBsmoXr628Q3UVjyJNe+0Q9vIcyDTD6Ui\n0vcRnkvgugSlEn6+iJPJ4A4N4w7n8AslfMdB7lUsTgZ7JeUBuDkXN/f6LfEOkO/OAgfUHToqNCEQ\nugjntpenHgT7NS5AeR6doaMZOrqpoZtGODQvYqFHo2ixOFo8AYkkumUhLCvssc/nCArZ8PMJgnDY\nv2EidROphb0kUoIwTLR4DD0ew0imEGb5ZiY8ISDcniAAXQ+Xm1HdBsqJ65Dj+OHEcOXI+NCF03hh\nQw/burPc9adNzGtOMbU6hhDQUhGhpSKCG0i6syU6hkr05V0yBY+hoocETA0MXaMhadFaGWV7X4EH\nV+0mU3BxSl4YwzXoipjcLeH6Rc3UxI/sMGdTF1TFTariJiUvoDvj0JUtUfQkO/qL7OwvUhU3qUva\nVEQNxmNatBCAYWLWNVJZ10jlJW89pO0Dz4O+3TDQE8ahUhFZKuIX8niZLMWePgqdPRS7enEzw2HB\n1z295RICiecHYXG58pz13Bt1buweYqJi+EjhOl3X0A0NyiMLZQBBIAn8AIlEMwwMQ0e3DUzbxIiY\nmLGw0ryZSqJVhA38WnUtWiKJHo0AIDP9BAN9SKdE4AVhZ4RhEVg2gWEjNQMIRy4a6TRGZSVmbS1G\nIoksF6kVQRA2EAR+GMOFgGgMoaklX5Vjx2gS7Kb9nreVv2cOtoEQ4gzgV8AS4AkgDvwX8EXg20KI\nmeX9fP51T6qmhrq/+fQoTk15M2dcuINP3bEYoQmetZr48jtmcfaUyn3e0/wm+3hmUx//8uRWuqwi\n3WKIoaF9q5nE4hYzp9aybV4DHz+vFfsgc7qOFM8P6BwqsXOgyEDRY2DkPCydhpRNc9ombh//Paky\nCKAwjHQdZG8PzuZN5Naso7BxE6WuLoSUCBmUvyS4Lm5mmOJQhlK+hO/5YUCU4VQAw9AwbB0zYmHF\nLHTLCLs0NEEQhEP7pCfxSm74VXTxHQ/P9ffMf9szj12Ec+SECJs0Aslhz48bT5alY1s6ul5O/AXh\n/HwvvK49IwBGhvmVq+COFLxzSx6uU/5yfbzydIGRRiahawjDQCvP39NNE00X6IGP8D2EDEDK8PdU\nbnDYU/5nTxWg8PMTuhYOlyx/CTv8jmEiTQOpaZR3R+C5SMdDet5IKQB0AoTnoXke0vcJ/LAWgRQC\nqRtI3QhHKSTDGyEjncSsrECLRAgCgR9IfNfDLznlgkYuftEh8AK0iI0ei6LZEfSojWbbCEF40+WU\nwiJIg0MEmQwynycoVwPGD2+G9nxemhYu7aMbYJjlxyYS8IsOvlPCL//dBb5fHvEhkEKg2Ra6Ff79\naroWLscbsTGSScx0BVZdLZHGBuz6uvJwTA0RniTSdfCHhvAyGfzhIdzBDF52GD+XQ/p+ODJDBuGx\nJKDpSN0AwyIQGlJoYW+W4+IXS0jPC4slChDlgkrC0NHsCCISQdh2uLuJd0hx/HBjuHJk6Br8y3vm\n89Efvkg2W+Ir963h+vOncunMGkZW3DQ1QXMqQnMqctD9tA8W+enidrb05sgMFBgczO/TA6sbOr4n\n+ZmA6xe1UBUbn/hpGxqTqiK0VEYYKLh0ZcJe7b6cS1/OxdCgKmZRm7RIRY6dodKaYUB9S/i1FwOw\nCf9xvB4pAacIbpEgm8Xv6KC4bSvFbTsp7d4NQVCO42EsJwjw83mcbA6nUML3PEYGwenlQm66oWPY\nBoZt7hPDwwMKgkCG/3eWvPD/cccj8Lw98XvvOC0Qe2K4JEyg9y5c90Z818cFGB7TR3rIdF3DsjR0\nTUNoYSN+EIQxPLzPCWOp0AWmaWDZBrqhhzFCCHzPx3M8PM/HcwM8L4wrI39jmq4hdB1hGmiGgWYa\n6LqOCHw06YdJ/UgMp1yyb+Tf0H4xfM9oAlPfc1+gWWG8k4YexhUZnrP0ZdjI4PkIZPnXGaAFAXjh\n/UPYnhDeo0hdJ9B0dNtCj0YwElH0RAIjmUCLRQjrFkDg+/iOS1AKO3R81yNwPYRpollWGMttC2Ga\nCF0PRyN6LkHRQebyBNlhgkIBWQxX5SEIwPfD+z5NhFM3hXgtjutGuYK/CKdmuB5+eRSI7wd7Phop\nwjipW2b4WZd/l5qhY8Rj6Ik4ZjqNVVOFXVOLsMPODyE0IEB6PrKQw89l8TJZ/HwWP5fHz+fLI0eD\nPfdYQLjMr26AriOFHt4HSRG+1/UIHBeBRAgZ3ifoOpquh5+LZSMsM4z7YzCaIeL/AUwHNgIzCZf5\n+AnwVSnlO8Z01DexaNEiuWTJkvHY9UnpQ//1PI+s6EAIQW1dkisXtdBYDsa6JojbOjFLpzZu0VwZ\npSFpM1Bw6Rgs8vs13Ty3pZ/hTJHeriFKjk/U0jl/Vh2O5/PK9kEGc06YZE+v5bozWvjI2S3j0pP9\neoYKLu0DRboyJZy9xslVxU0mVUaoT9poJ2mlUOk4yGyYoIuKSoShh0mGlJAfDqO2aYZrjpv79eDu\nKbUuwve7LrglZKmEHB6AoUHIDiHdUrlFv4TMZXEHB/EGBnAHB3EzWYT00cpBQ9fDHmvpB/gFBzdX\nxM2X577nCrj5Im6hhOu4BF5AUO6hDvZK7LVyj4u297y/1/keyLC4necHuN4b/x+nnLg0DfRykYf9\nby6Ppst6OyZ6iPhRjeNqiPiRdf/L7dzyx/UAJJMR5k6r5pSGJLBX4S5TIxkxqE/Y1CZtXD+gZ9hh\nTecwj2/opVh0GejLUiiEPaunT6nE0DR2DeTpHCig6xpNzZWc0VbJX5zZQnyUhdMOV9EL6Mk49GYd\nCt5rrVFRQ6M+ZVGbtDHHeQj5sUr6PrJQQBaLaPEE0jYRfjmGuyVwnDCG6yaY1n5V0cVr3wXlaV0u\n0ikhCznIZSCbCeO354U/Kxbws8N4mWG8TBYvlwPPQwiJjkToOrqugSRsfC+W8PIObrGEVyjiFRw8\nx8Erefi+HzZcl+O3RO5JaEcSe62c3YeFafetxyPLjfb+Xr3/yslnz4o+Imz8D6dTHH1nv9p15Odg\nAwghrgLmAGullOM+JEwl2EfWcMHlcz9ZwgNLdwFg2wbRuB326tkm0Zh10CTU9wL6ujP0D+QBOGt6\nNd/78CKm1YfBfWNnhuu+8xQ9mRLRmMVppzbw4XMn86659WFr0FEyUrW8Y6jE7qHinjlppi5oTkdo\nTkdI2PpRPSflyJBShsPsyy2RI79D6fvIYgE5PIzMDCGHMwSDAwT9PWHPQDSGiMUJDJNSJoszMIg3\nnMXPDoPjoMdjmLEoumkiCKBUxO3vo9TdgzswEN48FB2CIMBKJTFTSax0AitdgZlKoAVeuSV1mKC/\nn2Aog5/LhcXxXA/flwRCw0eEw950PfwKLyr80jSkCP8uZfnuQvp+uUCPh3TDQj3S9RDlIXFCyj29\nDppWbnXXNAIh9vR2BLpBoGkgNDRTRzcNNCERQYAIPPxCCa9Qwi86eE5YwE9KuafwniZEuUB++FjX\nwhugsPZQ2PIelB/Da4WOBCBMPex5N80939HDnncQr/UU7z3Er9zqrAnQTB2j3POga+WbMBkgRm7W\nPB/fC8pDFcujJ/wAz/XxPB+n5OE4Pp73+l3HI9eo6xq6Hn7XdIEo34iOVC8eua7wWbl1e+Q69fJS\nQZq2z1KC4Q3l/9/enYfXfZWHvv+u37hHzZItz46deSKQQGhxSChw2qShBNpzbk9v2j60l9PeNk+B\nWzhAeU7pdAv04YFLW2hDe4ByCrSHQmnKUChlJgFCCCEJjuM4ngdZ09Yef+O6f6zflmVbtiVZW5Pf\nzxM9lra09176SdG737Xetd40OxchRafmZ3XTnmeWNcE238vSxfFtVw7rN33w/+rkU1xSNPCjgxM8\ndmCCVJvfYde1sJSN5YDjnD+2Bc2YIAjN6eM5m1svH2RjbwGAKEn48uPHGakEWJaiqzvH9sEi164r\nL8H5JqfobCyNKKUeJKd1/Sj4NkXXxndtaY65SmmdmB+ydepnqNGQxBCZWEcYmIq9oGUm9V0XZTtm\n1TZOSFtmVV+HITpJzOq046DacTVNIAxJmk3SoGXuk+2jt1wHyz1VGWb5PpYCHUfoODbPHQSkUXRq\n+1mqSc1f/6y3unWqbK+9aq2yVdn21ynMCmp7736aZlvakum4r2akiMrMMJj7ZxML5tpY6GzXo1KW\nqfpSWeWbCb6kUUyaJKfGm81gWLTvR1ZpqKarDqev+/Te/+lvIxsPpuorW6FWdrtbTvaAqGyFWJ96\nHaPbK9R6eoW7Xal2emqRfX021jQ99fymKi+7LU2yBfNzlH9lkzSWpU699mh/s5wew9vPq07dcfra\nkE30aNT0+Kd/Mtm2iPbV+f33P92ZBPu0Oyj1X7TWHZ2algS7M774w6O88aOPcKLSOu12x1ZsHizR\n35PH8hwCDY7WxEHMM4cnqDVj8p7NW++5jte8ZOdZq9PPHK/yyj/7KienArp7Crzopk386q2b2HXZ\nWWffLImoXUI+3qQ642A0z1H0F03pWcGzzcq9a1+yK9xCtOnUTDDorAwsq0lDx6feJ0khMSVYutlA\nT02gpyooL4daN4yVnZarnOVvVaO1Jg0DkslJkqkKOo5w+odwentNt4GLeew4PvUCZI6UUsueYM/U\n6Th+3eXr9Gff90udevhL1mQ94qE9o5ycOj2GKyCfc8hnLSSTdgaQaJqtiEbLHGJ1xXCZ527vw3VP\n/92NY50l2S1s22Kgv8C2gQJXDJ6r+LnzmmFKPYhpRqdeZFvKlJl7jmVO7872mM/jf0Uh1q44zbY4\nZUksJhE3uaOensjWYOJ8FEAQmvvm8+DnsPw8uCtkL3uakkZZ1UWUmPa2Xg7rYsfX/pMyj78b2+58\nz+Il2Eqpj2mt/6tS6lmmq+dRQJfWun8+TzJfl19+ub7jjjsAuPvuu7n77rs7+XSXlHor5pu7R9g3\nUuPZEzUeeXacxw9Nnvc+L9jZz3tmrFrP5sdHKrz8j79MFKds3NzLruuHufOaIV56Rf+SzoLPpLWm\n0ow5PNHiZC0kOMeKVt61phPuoudQ9G26cs70gXBCCDFfDzzwAA888AAAH/zgB/dqrS9f6jEsVxzf\nvGOz3vWKXQDcdttt7LptV6ee6pKjU3js4ASHRuscGW+y90SVJw9XzlmxATDY7fP6u67meTvO/SNv\nBQm/8cHvcGyiSRuNVTEAACAASURBVKkrx01XruM5m7t4+ZUDyxoLW5EpIR9rhDTD2b9H1zZtsvKu\nRc61yLsmnvuO1elzT4UQa9Q3vv4Nvv71rwPw8fd+fN4x/HwJ9hVa6z1KqftmtvFQSv2m1voDFzPo\nC5EV7KU1Wg345u4Rvrd3jIefGWP3kQo71pd54RWD7Lp6iJffMDynVd4PfeUZ3vKxH2BZiquvXs/N\nOwe4frjEL9w4vOCDz5pRwvFqQM6xKXgWJc9Z0P5urTX1MGG8HlELEhphTD1ITpsdP5MJ1BaubWbM\nPdvCcxS+Y/a6FTx72SYPhBCrx3KtYC9XHL/qxqv0P/2HtNpcKq0w4fGDkzxxeJInD1V46tgUpZzL\nDVt6uGFrLy++Zoj8HA7+3Hu8yn1/+z3SVLNufTc37uxnuCvHndcM0nOePtnnk6RwshZgKUU+S36d\nBe6pDrNe3PUgoRWb+N2Kzr0/17Eh59i4tsKxFa5l4ToK17ayiXVHVr+FEBd03cD8W23Oq0RcKfUc\n4HGtdXzBL74IkmCvTlpr7v3zb/HvPzqe7cce5qpNXfTkHJ63uZtbNnfTk79weWalFfHY0Sq7R+oc\nmGgy81wi37G4ZXM3P7GtZ06PdSFpqmlECY0goR6at1orptqKL9hb1FJQ8h3KOZuy71DOmTdZ+RZC\nzLSSSsSXIo5Lgr16ffKhA3zwS3uxbIttW3u5cmMPed/mioEC164vM1S+cK/sKNY8M9Zg/3iTg5NN\nohnB1FJwWX+B52wss668CD2XNQRxmiXbCa0opREm1MOY+PwHYQNmIr3o2dP7vPO+TU5WvoUQM3Qk\nwVZKfQJ4L/DTwMuAH2mtf2PBo5wDSbBXr7FqwO1v/yInpwKKJZ8X3LiBrYOl6QOQNnT5bO3Ls6Un\nT1/BpSdvVqRP1kJOVAMeP15j72hjupbRUjDc5RMnZgW6FibTt9+yuZu7rh7EsRc/odVa0wgTgjgl\njDVhkhLGKWGiaUYmCT/X6rfvWJSyMvNSzqHg2uQ9C9+x5JA1IS5By51gL3UclwR79dIpvPXjP+CR\nfeM4js3O7f3s2FDGzpZ6u3MOw10+w10+vXmXsm/jOzaVVsxkM2L/RJNnxhrEM5Lq3oKLYymaUUIj\nTKYnzTf2+Lz08n5KnWirqSFMUoLYdJKI05Qo0USJJoxTGlFCK0xnPZHYtkzbz/Zb+5R2E8MXf6hC\niJVtIQn2XP6qPay1fkgp9T7gJ4A3LWh04pLQX/b5h9fv4p4/+xqVWsB3fniUnT91OVcNl/nxSJ0j\nUwFHpgK+zbn3fduW4qqhItcPlxnI2Ty0Z5TjtRbRVABJSm9vkckk5TsHKxyvBvzSczcseoBWSlH0\nHYrnmWCPkpRakFDNVryrrZhqYJLyIE4Zq0enPyZmr5jntMvOTbl5d96lv+iSWykHSwgh1hqJ42JO\nlAW/9+rr+e8ffYS9x6s8/ewYXTmHO64ZYt94k0orptKK2T1SP+/jDHf5XDFYZEOXz57DFY5XmtRr\nAUmQUO7yaSmbI5MBn/zhce68emhOK+Pz+0YwW7vOU1GmU2iECY0ooR6Y5L8RxkQJVFsJ1dbZS+CO\nDY5l4VoKxzFl5wXPxPGCZ8vKtxACmFuCvVEpdS/wqNY6VkrlOz0osbpds6mHf37j7bzyz75KpRbw\nkX/bzc1XruN9v/QcWolm/0STI5UWlWbMRDMi1ZqBosdA0WNbX54bhstUGyEf+NIePvLVfTTDs4Pc\nloEiWzf1kCS9vP/bB/mVmzcuTrnZPLi2RW/BordwqlRda00zSqcT7lqQ0IwSmmFCmOjsLQFmfk/m\nRNiiZ7OhJ8fGHl+SbSHEYpI4LuaslHN4173P5U1Zkv3wj49z5GSd373rCga7chytBJyoBky1Ymph\nTCvWlH2b3oLLYNHjisEiOcfi8z84yp8+uJ/RqeDs58i7bBvuYuOGbj71oxO89Ip+dg4UlvT7VJZp\nW1bM2QzOOMM1ik3FXCOMaYRmn3cQJ4SxJk4gTlITtU/7tlq4NvSXfNaVPQq+xHAhLmVzKRG/B/hl\n4PXAdcCtWuu3dXJQUiK+Nuw+UuHV7/46Y1UThXzP5u6bN/FLP7mNmy/rx51lZvnAyTp/8YXdfOJb\n+6f3bRWKHr7v4jgWUZxQrbSm++P1ln1uuX4DV2zu4defv4n1XUubZM9Hqk1pWrtELUxM4B6vR4w3\nIpJ2T2FgoOQxWPYYKnuSbAuxyq2AEvEljeNSIr42NFoxb/n4o+w+XAFMf9sbtvXxiudt4Hnb+2Y9\nOK3RivmXhw/zvx86SK1pqrgczyaXc3FsG42mXg+Is4lz17G5ansf2zZ28/IrB7hiaPlag12QhjjR\nRFm5eZyY7WO1VsxkMz5tr3nRt+kruvQVZGVbiNWuo4ecKaVeoLX+zoJGNk+SYK8djSDmQ1/dx3s+\n92NqjVMl0wXf4bnbe7lxay9D3TmOZu1GvvL48en9WeWuHOuGyrzk2nWsK/uUfIexeshD+yfYd3SK\nkeNThKE5p+eyTT287AVb+M2f3Mr6Ba5ka60Za0RUgxitTU+bdSWvM/vDzpBqzVgt5PBEi5FqeNq+\nsKJn05136M67DJRcikswHiHE4lnuBHvGOJYkjkuCvXboFB7cc5K//vJejo83pm+3LcWO9WWu2FBm\nU1+RyXrAiUqLB/eM0sqSZ8936O4t8JxtvWzuLZD3LOIUnjw2xd7jNSbG67Qapg9vueRz6/XD/NyN\n67n8IvpvN8KESjMmzfr9lnyHnpzT+QRXQz2IGamGnKyFJDOOaHFtRSlnU/IduvMOZX8JxiOEWDSd\nTrA/p7W+c0Ejmyfpg732BFHCn/7rbj71vUNMVlrTifFsurrzXLdjgF/+iS381JWDlHOnJ5Raa/aN\nNvjIQwf59HcOMTpSRWtNqejxc7su4w0v3cnG7tycxtUIE548UWPPyTr7x5vTh6i1KWBjt9lLdvMc\nT0G/WEGcMlINOFkNGa2Fp52iDibhHury2NKbJ+/J6rYQK9FK6IN9pqWK49IHe236/GPH+cfvHGJs\nskHQOncM93Mu64dK3HnjBl60s4+B0tn7qyvNmH/ffZIHHjnCyEiNJE6wbYvnXj3E//kTW7lqXWlO\nY0oSzaHJFs9ONDhaCZhsnj2u7pzDlt48Vw4VlmQrWZrCZMNUpk02QqIzdrm5NvQUPNZ3eZRyMmEu\nxErUsT7YZ32hUp/XWv/M/Ic4f7KCvXZNNEI+9OAhHvjhcaZqAa1WSJKkuK6N6zpcs7mbX9+1jdt2\n9s+px/TTIzXe+fk9fPG7BwnDGMtS3HrjBt569zXcvLl71vs0I5NU/+hYladP1ploREzWI+pBTCOI\nSVKNY1k4tkIpNX0w2UDZZ9fOPl68o48NXXNL4C9WmmqqQWz2qzciRmvhdBmaAjb0+GwfKCzJKrsQ\nYmFW0Ar2ksRxWcFeu+JY85WnR/nsj04wXm0RBjFRlODYNo5r0Vf2ecVNG9i1s5+ce+EOH5VmzKd/\ncIR/fugQzbrZTrZ5uIv/ett2XrxzgNmahCQpHJ5ssne0wbPjTSrNiEojohmaM0/iJMVWCttSWAos\nyxwsWso5XLW+xC2bu9nal1+aE8G1ec1RDxKqQcxEPSKIT73u7so7bOzJmT7jsqotxIrU6RXs7Vrr\nZxc0snmSBHvtC+OUp0fq/OjYFPUg4cp1Ja5eX6K/OP+TRLXWfOGJE7zxo48wmpWwbRzu4rfuvIpb\ntvayqSdHK0rZN9Zg72iDvaN16mHCaDVgpNKidY52W7PxHIv1PTledFkfd1xuDmVZytZbqdZMNCIO\nT7Q4Vjl1wkpf0WVzb46hso9tSZQWYiVZQQn2ksRxSbDXPq3heKXFM6MNRqoBG3pybO/PVogXEIIO\njjV4xwM/5plDpsNIoejxn27ZzO2XDzBY9vFsxZFKi8OVFvvHWzTCmKlGzFg9oBHMoeF1xlKK3qLL\n5etK3Lq1hysGi9j2EsZMbSrnTlZDjlcD0uzlR961WNflMVjycRyJ4UKsJB1LsJVSLwLuAJ7RWn9s\ngeObM0mwxULUg5j7/u4RPve9g6Ahl3fZtqmHHZt6yHk2QZTSihIm6iH1GQG5v+By1UCeickmTx2e\nZKTSyg4jS1nXk2f7uhLdpRyH6hHVKEUp015r+1CJa4fL7Lqsl+uHy0ue2NaDhP1jDY5OtmifrWIp\n6CmYg1X6ii49eRdLEm4hltVKSLCXMo5fvXmD/uRv/3onn0KsQRp4/PAkj+2fJE01lqUoFly6yj6e\nY5NqTZJCFJt2mG22UvQXHJIkZaoeUmvGpKkmQePZFuW8R963CRJNc3rPlaKcM3ui15V9hsoezhI3\nuU6BWtZtZMb5aLgW5Bwb37XwXYsL1wEIITrpujf/0eIl2EqpL2mtX6aUuhN4K/AN4HLgoNb6DRc9\n2vOQBFtcjH/9wRHu+5/fo5ntEXMci2Iph+NY2I4F2iSi/XmXKIjYP1IjjOe2it1X8skVPGJLkct7\nDA8U2LmuzFDZ50Xbe7llSzfebDVtHRQlKccqAYcnWkydsS/OUtCbJdv9RY+uvDOn0nshxOJZrgR7\nueL41Tu36k9+5M879fBijTtRafEX/7aHiXZ7LwtyORfbtrEszAq5hpLnoNKUiVpAc46r2J5rUS54\nhIDjOpTyDuv7CpRzDjv6C1wxWCQ/h9L2xaQ1TLVixusRteyQ1Znynk3JM4ekFXI2S7ngLoSA6170\nc/OO4efbuNk+PekW4DatdQqglHrXAscnxJL42Zs2cts7h/jgfzzN333tWU5MNqlMNs76uuMz3r9i\nuIvbrx3i9mvXc82mbjzHwrYUe49VefTABN9/Zoxv7B7h5FQAtVOl2Yf2w+NFn41DJQ6O1vnqM+Ps\nuqyX527sOmtfdBCn7DlZZ/dIjUNjTZ45NsWJiQa9JZ+t/QWuGC5z3aZuegseOccys/Uaco5F0bPP\nuULu2hZb+vJs6csTxinjjYjxepgF64SxesRYPeJpGljKnKpa8m1yro1nK1zHwrUVrm3hOxZ511rS\nsnchRMcsSxxvEfGNyUc6+RRijXvZy+DZkQZPHq4wUY8IZ/maMTC/4d1Q8GzW9+bY0FtgsMvHsW0s\nZTqZjNUCRqcCjk+2mGpG1GY8xokA9o8ocr7DE80cxVGXoZLHui6f3BmtRLWGamj2UdfCmKlGSL0Z\nY1uKUs6hK+/SXzb382yL9rS9BbiWQl2omswBbUOQpASRWaUPYs2Z37xrKxxH4SrzmLYCS1lYlplU\ndyxrafaXCyHOaS4nIzXaQTlT6dRghFgsXQWX/+dnr+ENd13NQ0+P8tTRKU5OtRirhniOouA5dBVc\nrtvcw3O29dFVmP108Oft6Od5O/r5tZfsRGvNj49UeOjpUR47MMn3943x9LEq9VrAnlrAnn1j9PcW\n+NHOAbYOd3H5UJGtvXmqrZjxZsRjBybZfWCCZ49MUq3P9nIBinmXLcNdbBwqM9Cbp5Az41JA2bfZ\nOVDkhg1ldvQXZk24PcdifZc/3Q88iNPpZHusHtEIE6Za8Vkr3TM5limd68k79BZdegsu7hKvygsh\nFtWSxvFep4tf2foLnXwKcSnYBjwfDo3WePxwhclayGQjRGvIeTZ512bzQJGrNnYxUJ7bwaMjlRaP\nHZzg6WNTPHV0ij1Hp0hSTQs4ilkpdzZ1U17fRXdPjq09eaI0ZaqVcHC8wf4jFQ6fqDI51Zr18R3H\nYqi/wLq+Er1dOYp5B6UUIeA7FuvLPjsHClzWl8dzLtwFJNGaaivODnKLqYdzWKnXUHRsSjmbrpxD\nOefgz+G5hBCz+03+YN73OV+J+IPA54EbgHdorR9WSr0GuFNr/fMXM9ALkTZdYrUYrQZ86Gv7+Ptv\nH+DEaG26tEspKBZ9CnmXMIxptWJawamk1nUsBnryDHTnCcKYWitivNKa7h/alvcdertzdJdz9Pfk\n2by+TM61KfoOP7mthxdu7SHnzj1wRklKLUiotWKCOCVKNGFi9ptHiaYVpaftbWsr+za9RZe+gkdP\nwcF3ZJVbiPNZCW26liuOX7Fpk/7Pu2a06dp1W6eeSoiLEsQJX989wie/e5iDJ6qkMxpY+75DIe+R\npKmJ40FsNopjYnxX0aevK4fGrJTXGiGNZnTa4zuORbnoUSr6dJc8hvqKFHMOjm1x5WCR523qpmse\nrbpSradPS2/FKXGiidOUKIE4i+UzTylv8xxFV86ZfjMtPiWGC3Eu3/jG16fbdP3JJz7RuTZdAEqp\nK4EprfWxeY1ynmQPtlhtUq350pMjvO8Le3h8/zhBKzrrayxLUe7K09WTp1DwzkpQtda0mhG1aotm\nM6TVjEjPaIJtWYqe3gLrh8psHCyxvsvnZVcNcMuWHnoXqUd3KzKr3O0+npXm2XvCfMeiO+/QnXfp\nyZsZcjdrayaEON1KOOSsbSni+HOvukp/65NyirhYXfaN1vjoNw/wg31jNJvhdDI9U67gUSrnKBS8\nWQ8QjaKERiOk1QwJg5hklgnrYsmntyfPUH+R3oLLTZt6uHFjmaGSx2IkvXGaUg8Tai0Ty6st0350\nJstSlHybsm9PbxvznPYGdyHETIXrO9imaylJgi1Ws2orZv9onW/uHuHAaJ3BrhxDPXnW9+RxHQsN\npBqSNCVJNXGqSVJNlGiaUUIzSs2/YcyJyRZHRuucmGhwfKzB1Iz937mcS3dvgYH+IoNdOa7bUOaF\n201bsr6Ch9/eW22ZfqALTX6TVFNpRozXIyayhDtOz/67YbdPPnUsXEfh2ab3aHuft5f1E2/fdjFj\nEmI1WUkJ9lKQBFusZlGSMFINeOxghWdOVCnlHPpKvtlf7ZnV5lSb8u00i9+pNrE8jNNs77R5qzQC\nTky2GKu0GK+2mKycKi23HZtS2aerO09fyWdjT56bNnexodunJ++Rcy0cS+G0Y/iCk19t+nC3Yiqt\nmFoQE86yyo0Cv30ui2XhZK8fXNvCsclum/m+QhJycSmQBFuINe7xgxN8+Gv7+PR3D1GfsY86l3cp\nFn1yeY9iwaVU8PBdGzdLaj3bIufa5D2Lou9Q8h36Ci79BXO6eG/W2qu/4F6w5FxrTSNMmGxm+8Ka\nWZuRWZLu81GKLAk3ybjnZIeseRZDZZ+CJ3vGxNogCbYQAmCs1uJzjxzlCz88yuiMZNtxHXJ5h1zO\nxfcdSgUP18kSWqs9SW1iZMG1yHsmjnfnzXkpXTmH7qz8u+BeuPw7jBOzXSxIqAUx9SCZdeL8QhxL\n4djmzbMsPMeMtSfnUspJGbpYGyTBFuIS0QwTPv+DI3zsm8/y7T2jZ5WSK0uZdlxZbJsOcdmKsZpx\no5rx9Y5t9ott7Ctw/eZufvqG9dy6YyArHTs3nc3et6KUME6zfd066ydu9nmHZ+z5Ti7QGa234LKh\nxxzYJoesidVMEmwhxExaa354YIIvPHqUbz91kiA64/AyBZZlTb+vZn6CmTE9+0cpLMv8m/cd+ss+\nWweKPH9HH7ds76foX3ifd6o1YZwQJqaiLk5SojTb252mxNk+7ziruLvQpHrOtRgsewyUPHJyyJpY\nxVZMgq2U2gH8MfAIsAkY01r/oVLqPUADqAE3Aq/TWh8/8/6SYAsxd7VWxENPj/Ltp07y+MFJnjhc\nYawaXPiOc2RZir7uHJdv6ObF16zjVTdvYGPP7KeYz9RujzJRC5moh4zVAg6NN5hsRIAijhPyns36\nnjz9JZ8NfQX6Sj61MGFkKiDJ/jRZCobKPkNlj3LOoejZs+59E2KlWm0J9sXGcEmwhZi7OEl5+tgU\nj+6fYM+xKZ45UeXE5OynlC9UseAy3F/kuq09/NTV67lssIBjnX/iOk5SKs2QaiOm0giZakWMVAPG\n6xFoTZqaOfv+oktP0aO/lGOg2ydKYKweEiWn8otyzmGg5FL0HAqehX2B5xZiJVlJCfYtwAat9Wey\nj58E7gXu0Vq/LbvtvwObtNb3nXl/SbCFuDiVRkgYp2htZqXb/6ZZUARNqs1hKEGUUGnGTNRDDow1\neeTABHuPVzkx2aRWD4nPmFlXSlEqeQz2FhjozjHYnaeYc5hqhEzWQsYmm5ycaDC5gCQ/59nsWF/m\nus09bB8q0VvOUS76FGbMviug6NuUc9nBLLbZC2ZbCq1Nr1LLMqVrbru8TvZ8i2W0ChPsi4rhkmAL\ncXFaUUwrTExMy+J1O76lWtOO4WmaEqdQC8xhZmO1gN3HquwfrXOy0qLWiIjDs9ty+jmH7lKOnrJP\nX8mjVPRoBQm1ZkSlFjAx1aJSC9DzLBu3LMX63jyXDZXYMlCkp+RTyLkUc+5p8dfP2qUWPBvPObXP\nHA0pJs7btsJWWQm6Utj2xexDF2LhFpJgz703wDxorb93xk0WUG8H5hm31Trx/EJc6roL3qI8TqUZ\n8Y2nR/nco0d59NkJjo3VaTYjqtWAajVg3wXu7zgWtmNmq1W2j8yxzUFvGvNiIY5TkjghCM0LiicO\nTvLEwcnTHqev7LNlsMjmoTKbB0psX1emK+9iWwpbMWvirLUpY3MsNb3irTAz7ral8Kf3fNvZaapm\nT5vnSCIuLm0Sw4VYXjnXIecu7CX6zz7n1PthnPDUiSpff2qUJw5OcnyiQb0RErRiRlo1RkbP/7+w\nZVtYtmUmqC2FY1k4jjoVw4E01iRpShwmxHHC0bEGR8capz1O3ndY15NnfW+eod4CG/sL9BQ9bGWS\n6HPF8FhrFJy22q6ymO/ZZhLddxR5z6HoWuR9m5ychi5WgI7vwVZK3QPcrrX+nRm39QCfBl6ttR4/\n8z5bt27Vg4ODZz3Wa1/7Wl772td2crhCiAs4NN7g0987zLf2nOTwWIPRqRZBlGI7Fq5r4/kOhYLH\npv4CVw13cdPmLm7Y0MWWvgL+jL3czSjhwFiDp0bqPHGsylMnauw/WafRjAhaEa0gImjFhEF0Vpsw\nMD1KiwWPXM4hn3PxPQeUCfyJ1iT61F5z11b4rj09Y170HPKeRSG7Le9a5F2bnGtTztkMlnz6iy5d\n2UEtJd85bezzobWWhP0Scf/993P//fefdfv3v//9A1rrbUs/oou3kBi+Y3hY37R+/VmP9apXvYp7\n7nlVJ4crhLiAeiviG3tO8t1nxjk60WCiGtIMY5NAOzaOa+P7Dn1dOTb35blyXYkrh0ps7s2dlvQn\nacrJWsiB8Qb7Rhs8O9bkyESDWjMiCmKCKCYKEsIwnnUl3HYsE7t9B99z8D0bpRQpCo2e3iaGAluZ\nZDrnWdnkg0XOscg5NjlHkXPN5Ljv2ORci568S2/epZQzJel572IS7xkDEWvapz/9KT71qU+ddfs/\nPfrovGN4RxNspdQdwD2YfVppdls38H7gbVrrZ2e7n5SIC7H6tKKE8UaEZ1v0FtwL7tGeTZykHBhv\nsmekxg+PVNk3WudYpcVopUWrFdFsRrSaIUFr9qR7LixbYduWectW1tsz4uYwmVMf29kJqXa7ZcmM\ncvT2m6WUabeWpMTZYW5BlBKnKUliDn+zLUXOs8n7DuWCR0/JZ7DLZ0NvnvVdOYa7PIa7c/QUPIqe\nTdEzPUktSczXhNVWIt620BguJeJCrD5JmjKV9czuybs4CzpcVDNaCzk40WTvyToHxpucrAaM1QKC\nICZsxQRBRBDMnnTPhbIUlmWZWG4plGWZmN0+AK7dPSxLzG3Lmo7XjqWwbAvHMuXstjJl5xpt4rXW\nxHFKFKfTLVSTNDUr5q6N59gUcjalvEd3wWWw7NNfMge5DZZ8evIuOdci71p4ji0xfI1YMSXiAEqp\nu4BdwO8Aw0qprcDTwHuBN2mtjyilXq21ligsxBqQc202dF/cSaGObbFjsMiOwSI/c+266dubUUIQ\np9hKYSnTa/yxAxM8dmiSw6MNDo83GK8FtMKEZhATJaf2nyftPuOxSX7TRJMmCRHJeUayNCxL4Xo2\nruvguja+Z5PzHbzsfa/dR9xWWMrKyuFND1Yw77f3rmnN9Pfa7skKYGO+xrNMSZ3vWGzozbN1sMjm\ngRKFnEMrSqi1EqZaEZPNiFac9WhPtCmjd80+OYAUM6EQJua0eHS2R86CguvgWeBkPdFzjkXRt+ku\nePQVzGqCa5uJg+lJjTlot4abaEagzcF3nmPTnXcWfML8mZUFaaqJUo3WWiY3kBguxKXGtix6L3p7\nmWKg5DNQ8nnu5p7pW5M0pREm2aQ0hInmwGid3UemODbRYGSqxUQtJIhSWlFMlJ0ho9u9xrP4FkYJ\nOtUkaUISQ3SRo71oqr3qb+FkVXy+a5u2ao6Nm+0vd7IkXymztyZVQFZlZ8+I4WmqSTFn5SSp2X9v\no7JzZcBT5vVAT8FjuC/Pup4CXXmHKNU0w5RGFDPVimlFCTqFKNXYWTw2ryNOVQfEWYxPtcayzOsL\n3zFtUx3AdUz5fc6xKWYt4Eq+ibkqey0291V901VmqhWTap1t1bMoejb+gk+YP72yoD1Jkmg9/Tpj\nOXUkwVZKPQ/4B+Bh4CtAEfjL7M0B/j57YVMFJDgLIc4r79rkZ/TnLvoO628Y5uU3DM/rcaI4pdKM\nmKyHVOohE/WAaiuhGSW0ooRmmNCKU/NxmFBtxTTC2LQXy5L8IEoJYtP3O05NOXp7ddtzLAqeTd6z\n8Wx7um1KI4ypNiKqzYipeki1EVJrRCSpJmjFBK2zD6FZKpat8DwHx7FpVzTp7GA8yGb5sxX/drsY\nrSFJ0rPe0uTCKxJWtidezUiyzd54c7tjm736ZIl8ewUhzTbtp6l5m1l9ZVkWrmvhOrZ5kZPtGZx+\ncZZVF7RXJqLYfOw6FjnfIe87FHIOpbyL7zqmLU12nygxkzPtMWitcWwLz7XwHfNiKufZOEoRpylx\nVrUQJ2aSYiW2wrwQieFCiMVkWxbl3KnJ0JwL12/q4fpNPee519m01tSDmForYqoZUWuZ91tROh2f\nw8TE6CAysbwZJsTtFqGx+dseZpPI7cTdyg5Tc20LP/vb7jmnYlWUpNRbMY0gpt6MqbciGq2IOE6J\no5h4OTN9wUvthQAAD6lJREFUZSbqnWwbm24fcGP+M9V4toWyT8VbgDRrtZZmsSpNUtIL9U+lXUGQ\nHTjXrhxQZuK7nTg7toWyMBMFM+I2ZAfvnhEbFQrHMZMV9nTVoIXGfG2apiQxJKn5WbbjuWUpPM82\n2wZ8m5znkPNss8iQfX9xmhLHenocWuusOtHKJhHMZIhjK9LUHP47c7HizDa4c9WpQ86+D5Rm+dSH\nO/F8QggxF65jMVD2GSj7yz0UtNaM1UIOjdY5PN7g8GidvSdqZia/bl48RGm7TA3ap8Zq8+5pJ8um\n2rxAaK8OWDPL5axTB9KkmBcTQZgQBDFRGJMmmlYzYrHWAqysBG/GN2qCaxbwZwbaxZMShvO/l0m2\nQ6r1Bdx5DbvYGJ62WlS/8pVFHZMQQrQVs7fzsgA/e1sM3WfeoAhjqDYiJhsRU62IiVpItRWZyfoo\nzVbf9XTV2cykUmcrsFl4N0kqp7apMaPkXU/fx4jTlDjKkmJ94aR4PhTmQLtTq9NZMqw1q2+6ePl0\nrERcCCHEuSmlppP9m7b3Lfnzx6kmjBOm6iH7RupM1MPpdmaubWFZZgW5EcRM1kOmmhFxlhzblqK3\n5NNX9OgtefQWPXqK5l/HtszKcVaCNr0KrTXN0LSDm6iHVIOYWpBQbyU0ophmmFAPEmpBTL0Vm3Zw\nWTu2cs6h6NvYyqw4mxUGUz6faE21mTBWbXFyKmCqFVFrxjTCxEwsZEfHt1fhPcci59l4rk0QJlQb\nEVONrKqgFRNGSTajbWUH42UVCY6Na2YuaIbZOIOYRmCqHdKsksGxZ+zXt0ybuH9Z8p/u8nIGBhi6\n77eXexhCCLFmpVoTxCnNIObAyTrHJpqm3DyLP3aWmDfDhEojmm7fmmTZ/nTcLnn0FX16S+bjXFYt\n2N5iNzOOB1FCpREz3jCvCWphTL2VUI9imoGJ4fUgphbExElKyTftVLtyLsW8jWfZpvorK6X3bLCU\nRS1rMTdWDZjMqv3qYUy2Cw2Nia2WrXAci7xrVqrjJKHaiKk2w+kqwWYQT1cU+o5lKtSy53Sy7XZB\nnFBvxdRDE8ObYUwUa7OKblm4M2K5Y1vwpb+a989HEmwhhLgEOZbC8RwKnsP63sKiPrZSpn3amQfd\n9eRdhrvzi/pcq4F6w3KPQAghxFpiKTW9fa6v5HPT9sV/fMtWuDO3SOddhroW93lWA/X6+d9nRSbY\nlUpluh3X3Xffzd13373MIxJCCCHm7oEHHuCBBx5of3hWceFaJjFcCCHEanaxMbzjfbAXQtp0CSGE\nWCtWa5uuhZIYLoQQYq1YSAxfWH8TIYQQQgghhBBCnEYSbCGEEEIIIYQQYhFIgi2EEEIIIYQQQiwC\nSbCFEEIIIYQQQohFIAm2EEIIIYQQQgixCCTBFkIIIYQQQgghFoH0wRZCCCEWmfTBlhguhBBidZI+\n2EIIIcQKJn2whRBCiNVJ+mALIYQQQgghhBDLR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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# TW Hya + G4V\n", + "do_plot(ylim=[24,10])" + ] + }, + { + "cell_type": "code", + "execution_count": 269, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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OL50PEYkVkSy7FolIRa/s+XjflxDcihv1xnMD2o5bnwRZaPc8qPf7VbWNrwzc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\ntDRjRTmCPXzJxfybPMy3ycN823hEhLZt27J+vdPhqVOnMnXq1Eh0RcoMS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rr76q9/1Hjhzhzjvv5OjRo+Tn5/Pxxx8zatQo+vfv3/gflhCNEBsbW51jQEAzN6dJc7yhDAe4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\nREREREQkBepgi4iIiIiIiKTg/wCfTOZAaW9ZIwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# TW Hya + F3V\n", + "do_plot(ylim=[24,10])" + ] + }, + { + "cell_type": "code", + "execution_count": 260, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "obs = obs_dict[filt_keys[1]]\n", + "sat_levels = obs.saturation_levels(obs.sp_sci)" + ] + }, + { + "cell_type": "code", + "execution_count": 261, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 8.77790028 7.88800124 7.78392596 7.33514447 6.71324917]\n", + " [ 5.87704764 33.82170593 38.65376437 8.46888546 7.53268965]\n", + " [ 24.6504662 144.19781263 157.62096953 39.03939261 2.83591757]\n", + " [ 28.02818571 153.81876615 168.39703535 44.28534262 2.45344741]\n", + " [ 7.07705277 43.59072449 50.08207987 12.22913055 5.36127963]\n", + " [ 6.60666576 6.6007932 6.47868295 4.92061023 5.39580557]]\n", + "168.397035351\n" + ] + } + ], + "source": [ + "print(sat_levels[200-3:200+3,200-2:200+3])\n", + "print(sat_levels.max())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "obs = obs_dict[filt_keys[0]]\n", + "hdul = obs.gen_roll_image(0,0, opt_diff=True, exclude_disk=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([200]), array([200]))" + ] + }, + "execution_count": 160, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = hdul[0].data\n", + "header = hdul[0].header\n", + "np.where(data == data.min()) " + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "sci = obs\n", + "ref = obs.nrc_ref\n", + "\n", + "im_star = sci.gen_psf(sci.sp_sci, return_oversample=False)\n", + "im_ref = ref.gen_psf(sci.sp_ref, return_oversample=False)\n", + "\n", + "det = sci.Detectors[0]\n", + "_im_star = det.pixel_noise(fsrc=im_star)\n", + "det = ref.Detectors[0]\n", + "_im_ref = det.pixel_noise(fsrc=im_ref)\n", + "\n", + "im_star_rand = np.random.normal(scale=_im_star)\n", + "im_ref_rand = np.random.normal(scale=_im_ref)" + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "extent=np.array([-80,80,-80,80])*obs.pix_scale" + ] + }, + { + "cell_type": "code", + "execution_count": 266, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(-0.5, 0.5)" + ] + }, + "execution_count": 266, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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RJWfkek/R75CA/TEDqtekuu0JH7yJEBoi9qda0ttjr99nx9UZ+B4Aou4uM94xaU9s8VtH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\ndx0v2fHHjppxr0Y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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(1*sat_levels, vmin=0., vmax=0.8, \n", + " extent=extent)\n", + "rad = 1/2\n", + "plt.xlim([-rad,rad])\n", + "plt.ylim([-rad,rad])\n", + "#plt.xlim([70,90])\n", + "#plt.ylim([70,90])" + ] + }, + { + "cell_type": "code", + "execution_count": 270, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 270, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "reload(pynrc.maths.image_manip)\n", + "reload(nrc_utils)" + ] + }, + { + "cell_type": "code", + "execution_count": 166, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "im1 = im_star + im_star_rand\n", + "im2 = im_ref + im_ref_rand\n", + "\n", + "im1_sub = nrc_utils.pad_or_cut_to_size(im1, 50)\n", + "im2_sub = nrc_utils.pad_or_cut_to_size(im2, 50)\n", + "\n", + "rho = nrc_utils.dist_image(im1_sub, pixscale=obs.pix_scale)\n", + "mask = rho>0.5\n", + "\n", + "scl = nrc_utils.scale_ref_image(im1_sub,im2_sub, mask)" + ] + }, + { + "cell_type": "code", + "execution_count": 167, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.29624199867248535" + ] + }, + "execution_count": 167, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "scl" + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "diff1 = im1-im2*scl\n", + "diff2 = nrc_utils.optimal_difference(im1,im2,scl)" + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(-2, 2)" + ] + }, + "execution_count": 170, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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gd0J2kXCO09ikx4B5XTmmDakS5joQ1NPYPNb0tqbyGDzo4fFzLWVP2BJeLauSA4ZMm4X4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\nwP+k98Ow33N4N4AX3NmTcKhsIbu7fwfAHWZ2DPuD3cgHAL9rZveb2aeSt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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(diff2, vmin=-1, vmax=10, extent=extent)\n", + "rad = 2\n", + "plt.xlim([-rad,rad])\n", + "plt.ylim([-rad,rad])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(-2, 2)" + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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TI91yD27JOwC+bpHVJBgKNiVTx3SPjMe9GfT4zJMzplPhmDSPpGmffCoXmIeG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\nQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(diff2, vmin=-1, vmax=1, extent=extent)\n", + "rad = 2\n", + "plt.xlim([-rad,rad])\n", + "plt.ylim([-rad,rad])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(-1, 1)" + ] + }, + "execution_count": 132, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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WjwPW85B813t2yPYTI7LPYXG/HDjvBsc3Ij8RW+EPMTzxBEb2PQ4AyBdriO9V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\nNOPbFwx/LHbez+zogKTxl9g3wbEp0PlhcXvYdsFxe1jD9Wi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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#rho = nrc_utils.dist_image(data)\n", + "plt.imshow(im1, vmin=0, vmax=1000, extent=extent)\n", + "rad = 1\n", + "plt.xlim([-rad,rad])\n", + "plt.ylim([-rad,rad])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [], + "source": [ + "# List of WFE drifts to check\n", + "wfe_list = [0,2,5,10][::-1]\n", + "nsig = 5\n", + "\n", + "# Target acquisition times to check\n", + "tacq_list = [500,1000,2000,3000]\n", + "\n", + "save_fig = True\n", + "multi_fig = True\n", + "\n", + "\n", + "fname = outdir + name_sci.replace(\" \", \"\") + '.pdf'\n", + "with PdfPages(fname) as pdf:\n", + " for tacq in tacq_list:\n", + " print(name_sci, tacq)\n", + " # Initialize observations\n", + " obs_dict = do_init()\n", + " # Optimize readout parameters\n", + " do_opt(tacq)\n", + " # Get contrasts for each WFE drift\n", + " contrast_all = do_contrast(wfe_list, nsig=nsig)\n", + " # Plot contrast comparisons\n", + " do_plot()\n", + "\n", + " clear_output(wait=True)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Remaining Sources" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "for i in [1,2,3]:\n", + " \n", + " # Disk model information\n", + " args_disk = None\n", + "\n", + " name_sci, dist_sci, spt_sci, kmag_sci = args_sources[i]\n", + " name_ref, dist_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + " # Science target and reference star spectra\n", + " sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k)\n", + " sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k)\n", + " sp_sci.name = name_sci\n", + " sp_ref.name = name_ref\n", + "\n", + " # Modify the stellar spectrum so that disk+star = kmag\n", + " if args_disk is not None:\n", + " sp_sci = spec_modify(sp_sci, kmag_sci, args_disk)\n", + " \n", + " # List of WFE drifts to check\n", + " wfe_list = [0,2,5,10][::-1]\n", + " nsig = 5\n", + "\n", + " # Target acquisition times to check\n", + " tacq_list = [500,1000,2000,3000]\n", + "\n", + " save_fig = True\n", + " multi_fig = True\n", + "\n", + " outdir = '/Volumes/NIRData/'\n", + " fname = outdir + name_sci.replace(\" \", \"\") + '.pdf'\n", + " with PdfPages(fname) as pdf:\n", + " for tacq in tacq_list:\n", + " print(name_sci, tacq)\n", + " # Initialize observations\n", + " obs_dict = do_init()\n", + " # Optimize readout parameters\n", + " do_opt(tacq)\n", + " # Get contrasts for each WFE drift\n", + " contrast_all = do_contrast()\n", + " # Plot contrast comparisons\n", + " do_plot()\n", + "\n", + " clear_output(wait=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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l3cjYeEB2JJ/DaCuQeuCJgKhLykINLkPOjiCFAqQsrEIBVchR2tijo+lLDqnx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HCc/c4D42CCKrMpjU4k7eUBVySzD3Aj6eZ7bnstfUjp2scsCCmRzMOgatOxMm1xViySM84hyDtu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Vlz6NHkxofvc2BUjHPTKws4N56gmR/9jswOvvyqgojOjtmRWKZoL5kz+ffcUs4+u/9TW+/ltf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\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27gKWDKN6vp18KZ3A8VyOsGjxRMNUqBzcpEk2DJPcVsCMzFE2E0rzODhLVy4IQJSZbiJm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NBa8i\ndwocCDJ33Ka/pGmuhaccz3M1K6FnncEt4M6ByHfRIwUUtFXs2ldRaBQV1B10nYtcvMAIZSGVkkiv\ncus6nSDnUl+fboaBns+AbIE9KsLZjjGBkU3qZ8pW7dehCVRjY0H6QTaT47Y1qHo35oNB0rsDbXBG\nRETsT6CBmWlHREREHBgYHL37tDI4WfJszc35ZOxEiRlhBkrTwAtYNPugoSFQq4Vs7147eD0hREUj\nNRquLzXPzPjq3xVjguvSJCjLGVrZsWxoai4Le7LKQph8InXOW5lbaf4TvKFFtTb2OmZZ6GFcBATe\nSCmrmDEHXSBamQ/fyFCYygku91e+Ql+eK5iLO0Lk+ytXwHkX/EnU2q8QVbyCgiA7+B30GQ6Lv8pk\n0fxz5u98cRVR6Nl0QxekV0C/W5xPxp8nNB/cPCppI5YHpXoq85GdmZnAG19Kql3BtJCsWeOiUHqB\n8QLNtcUznpRHhIBCrxU1Gnp5Px56G1q30RqVQNnQM4nwes3hgs5nyIXlSZWmLbmCKlJBBCrYpp/z\nkmF0wV5SC72q34M+7uZb0krqdS4CBANIjpFDcF3WDU/nr4n1eHKaeu/ifKNTdszEh70tz3YwtmBj\nsNdAytHXscqaL/SBQdK7g2tw2pZVzVbYqsyslhV/APwHksIPuhoa0tXlQBBqx0ymX8I+8/CkEZQp\nAtmck7k5X00oKYmYgTQDjeoQTTI8hHTHTr0uTQvDDdRo6vOT4VcRYinOxyxX6EHYXbSIdAag3LhO\nVedc2xPjUw9icBvqYfYV1ua3+1PsH1CuyHOQ+8pcoXx+Vl6BC1JqtypPaZJnCCiSUYTt3T41Cd7t\nmNRsdFfI2+MY4Sw5u0vJSBKf/5tCKGHx7NoOTeJ9cDnEcuJlSYdrye3z1mp/OHqgTseLB772Uzz4\ntcfszyWj54ioADOyvZM69UTmsxlkMzMut0wN+5bAPDtbrjPStDRUmE1NuWdMjY6KHDaR950k2qCV\nLBo9GjnQyAjQ7rhwslJKE3Obc6yFLHXGJzUaLqTe03AQRof7LiSepomBysmrnwCmQSiemq1wv5Lu\nYl3iDPs0Bf9dqZg8Cx2rhob8Pe50vG5ysgq5HbG5CltoVn0j7H0sm5D36BrkdCbgHEC2oYnbM0t7\nG5rmO2DT7vTkXKQzGeJ+SpQ7T27nwuajoy6NLN3tn3duz1XmEpe9G4vRdGOQ9O7gGpwRERH7HbIe\nPX2f9ZIj8ayXHAkA+OY/PbRk9BwRERERBwoGRe8+PQxOSUhtZ00N0Zs7X52bsfd0pilIeQ4y29sb\nzSYoUZ4XSxTjcKddbwacpi55WI0Mu8KlbO+kLywaHQEpUXWofPi/LMzkedZE4YhbmfPAlRXG1EQ+\nFO88iWl1UY1LGWg2tcezBK6yDwjJbSVEuIcS7xEMjh/wq/XhlS5KNSgKR7sYtAxhd4eK5gVHDszg\nMrZoC6WC9qNBP/h8L/m8N7fI86HIezktL2EN9gF//MVrBsAMpAvvpR6x1DBsEXWQzbUB9nyCZe1x\nZZqHW9a0xZetwHPpq7LLn9Ngn7JtcuFsI4j+L5lHy9aKquzSghkZ7QJyxTe99VhZBbaVx3k/kwRk\no2BF21oWAGYXlUMJuT1gimXs9S+JJlamJXEGlLVkXkzIayjTBbKwkUVfcM0+lP/OAWBVQycSaSpH\nADQ9s2jRoYVgkPTuwBqcY+OjuPyqSwEAW750j+MCdJDV6wK2N6oz0jodn6M4PeNCvJS0zAtrK8NF\nb+vp6ipKC6mweHbWVV5zu+Mf1FkFbjR8VXaWQY2v0ttNToFLbDXZQ5daTVBmQqQN38s2kzlOnAUV\nzTIEnK/udLaV6QYRVL3bLiH22hWdd3vOVVkqoLLqL3hhC5YB6PrAuHBVicIIeoUXHVNWw9u/mcPU\nAU5ChWnD3tK4l6kI/XycZDhq2Fd7ZyJPrVBGmHOT1bAwkxk7ht0nUUBilisFnp4W1025rho8l6vs\nrZm/ZKuPF5v4vVdoJ2L5MTY+iss++BoA7HSvGh5272nwEc1VAetqad9pyG5b9P647kAyTUno9WTd\nOp/asXcSlCRITWi/zoec2Tge7CS6TaCmZZnoY9Iqu6JZRg0isJtIFhjYVo8IHlN5DdSKFdpZUfI+\n2ok/SceKy1M3qVBNEt+Ilh+/gEonm55x56BWaXJ7Tou/oXo7YVyrBAHJu+Em7EU3VaozRZqRkk1R\nOp3aEx1Jxi9l7Xou+ugMl4yv0se3+liRbmZgh7LfySz1xzffY/lu2H3mbWyqBJsuegE2XfgCAMDY\n6oUTvw+K3h1Yg3Ny9xTee+lVtXLlgo/38JCe6RnFIJ+3YHZnH3qRK4N26razeSFZTR4s7nTAhmJC\nDQ/7pHpSXS9RQLNhaW5UOOPOZmbceUlqoe6T90qPMw6LgmpxLhZzS9pk6F7HlR4ENTzcdb3cOQWG\nnGipaHKz3DZZJjycOU+k8EJWzq5lsVXq72kgl+Bv092SingtczmbeqDiY9aZTZd5tPP8fily3Gzd\nXKKcZtpz7nYTnhTq4X3oA1uu/8biEb9jcAiII8oxuXsK733D1SHPcC0+wRTZnKfo6alD6sBOoozn\nv6u4rgC+I1IW6J3gHKo8h10DGqNOvuM1OSyd0dslo6qc/PnOM6IQK/dOk2z1rKjwOJWyVXg4s717\nfZSOM38fsqzyWfDFM1x5j3wExn8L+pnUB+e6WDzBkmbRHCO85zavPb9cOWdG1u6AS5xh5ccNbRxK\nEmy94X5s3fzv4E5n4cTvA6R3B9bgjIiI2P+wkNaWERERERH9Y1D07uAbnHWoEGRoe3Kqy1tIIqzp\nSa91bpydrUmKIxpqgQwRK01OubHqksXrjkjGQ2X6v7PtyR4QkysXLi0aOzgvK2er5SpG6f9n792D\nLbvO+sDft9be+7zu7b7darUky8jGL2yMMQaMLRsbSICAjYuCTKpmJkUmQzDJkAFMhcyAYaqGFEzM\nFFMxMFQGTCYhzBADw2QMkh3Z5o1xy0jC5uH4IYytF5bUrX7dxzl777W++WO9vrXP8z5afaU+X5XU\n95579nvvb6/1fb+HaudWstzMWPxe+Jmn9PntCilLj9llFbIwOxf+8TNnvpGtWab9LorEepU4maoE\nT+pMzDieA0WJEWgXt3JihYPy6m3CMjqGN3OqHC7ESs04nmw7mK6yT20TOR4rc8iQWLWIMUvrDu0w\nIsqvn/iZigIcjAdUYt1zY7LvOAjFnPM3q4p7hG5KjOPT2lnHgiAClUVyDsI+2oPWgCqPi1cEkjls\nnuHFnDDnz8fv6hMnALaxespczN2nKJ3nhcDJTHeIVK8H9vd7Dk2asW9BGaKlTEA97ks7jQfNxMh9\nt4yqcmFVUUbuLpYkymQHiY0GqXCNyoVV2ySgX6TuyaqdQ1IJt2nsYoZ+7MKsUIEW+7XfsKIzCMFM\nXylkS18Iu0eDmG1pdiAwb+J8Zc6B3XfoCq6AWTAnPLM0B2CCqqpDV3BXybuf/YNH8Lk/fCT8umap\nrxx2BtlFPGAsPyvLrDQeLzZz9BA+yAORJUKlQF3AtWgNR8mODg7EfRgGiQmHuiipTBGAZMt41sPY\nJZ7Isn6/l1rbC1odbJPWJRUzXgIRxN1paUvbs7DNokjJI3wvumwssCuV0dXrDOftANcx2vvtJ5SA\nUMhWFBa0uWe02uP5oSUD+mw1HQIZMH0+FmJf04s5u+8PqVsntnBsWjvrWBCHfcHFgWWXZBP0LLHa\nPdXNT1L2a9V2vXwmBAGPjUn4R0VJVm5BG5itKCSgUwSY0tWdfm7JctIYXkLGizjNRdeCbXq3LSsQ\nBIw6ETguY+e770h7TWswBfuZF+F8tysO/qTc3BzC2dII21wgDZjFqgPTBZaaMwnLhwhJ/oqfwcPv\nVrUgnb/2pXn3jjfcgTvecAcA4BP/8cEbnKW+jnWs4xkfzECzHnCuYx3rWMfTFscp794QA047B8Sr\n+70045UMYsEQlrMLvXXSzUylz+28VlP4TmgdB3bjoA8ETazOrHjKxcLP9uzOTvKIbZokvDsYgHdS\nK961aadnb24GP79VNCuICPDMemqa+eQpa2JrmhZV4IxJ56KXzjuaJm4nSF1lwruCaR/dHaR/bne/\npUB8d2YoBIZlJSOrDKpOZaIjYZVVjSURqkxECTnjzu6lySSbMcci5HCYz5Q96xxw90IUcQ+yM2Fh\nMcteydc5bM+3+Lqi7kmOS0ONhvF4IsP1CGJd4XwGhNZQGyOYuo5VbzUapHawqH7LvEBl5Zi9It+q\nzU3/Rbt/MoXIT0E1JLZAiVYSFufJJLm9SEb0ZJK6J8ucdJSAqsgKlMgvajRK6iHjcf6cB6a+kGki\nrVcy2ZCGGdTrTeWQ0FrWMs8sItqq1B53MkJzqn2iesrjSXqfLWOmhxw/zxXKOm/4CEcwsiK+WuWR\niiK+z7ht56qp5AsJ5ZDBIN07iuL5sJPJFOQo5sq2nX2PdY9zHx0xveU715az9w6FZwZA+/AjB+rO\ndeO45N0bYsCZRbScDKxH0RaZZUEm2cJFASpUklayDLMERwRjpu2pZrSZ5bblA+X+aDPnFyVY3SRY\niu6rMqHNwAgeJJaU9GMrVuv4QuCmdQ+uTNAzEjsb61iQIYwRbXTK4Adxme7gmSizGsswNPL6LWp/\nzMBOwtoofULKghdZYoaErHUOoRAJbW502LRE5OwkAYcz3q8W5pQNaH79lw5OrVB5OFIM53LHi0f+\n8CE88kcPhV/XTkPXI5gF1n1aa1Iyr+Xkj5s6TYz3EYsmkFMhLW3DIMvalZYnrYFCvNjDKvcxEJb5\nNhuAS63lOcFeIxoAoJ3cWbJqnt2+5aZNk+iYC/2eaw3Y+ddpboR8YBfnlcg4N+bweaA7oI5QJzt/\nsD3P8vIgIXH68yYYND0AX1WlZuWQxxRins62IjfJODSGc3nefbrixhtwrmMd67huYZewJZ/zhufh\nOW94HgDgwfd8cu00tI51rGMdh4xleffpimM74EzC74Rzd9+Pc3c9AEDMupaU9udG9Dg3ztNcsiCj\nducMAg88scfYJMStKLV4rJ09G2LOxYwH/TTLFQ4OVBRp1tc0Dlcvq6eSfCIY3mlmq/NKJtsIopak\nIenFO8VSD/vhj42CqGdRJGOsGccZmHwEMRuLbWVRKZPV2FmuOH5/5Mw627cy7RvX/ngKz86U341g\n99kao4DNqqLoVDXnhphpk6JMkD1z9hEtaClST0UZj0lVZWrDC2ai3dkDqzZdB2OSpisAJWa70Zxg\nqq0jKgKyeuBbbVk1KLQLyyJvle4F4fcvx53f+lXhuh6q4rhmqT8zYrTZx/f99D8ASOHeD/wF7n3/\nnwNwxD0gh6AQEGE9djyeysvWaxMDmKq8h+dZDfpJIYQoPiOZgxl7drSErgR9YmNnip13w3ZhUytq\n1c5UsLAiTy2qbApDEdI6N98RuQ5FObOl7KBEgmg0o1UvdtT9U1ZT1yF0oUjCmcpy7nlTvV46vxOe\nhnvNiXhOvEIA4CvfgvHObSO0NzvOJ6I7lbpN2mlRh/uibVciF8ljpX4P1KvE5wkuwNxxGBRVyFBF\nX6jSMMdxSnq8h3emvvkm90HdCH1lAu/6e9NaoCjwmm98BV77TV8GZsbo1MbSY10UxynvHtsBZxR+\nFxIGAIBgU3lQRpsIycpFVYJaUXIPrY7OMiywiFRVORZklfK71vkAIQz+JpM48OGmzaRtuhFbrMam\nZMScS+2IdbudVbM/6zBGMyhAwFYuC8moDg9o27oHUQz+SLSJM5FdlZJMNnDsiJnPZGR6wePQgs4k\nqSRMgSjKoMwKyQa1nRfdShEH2JwNsp21qnhBh58XvKSke4bdG4PCy7gs4nEuFXme9Wwsa4vJ6+Mt\nsM791n34yPv/HFAKb/qHX3PoiuNxwRKtY37sXN7Fz3z/vwfKAuQtgAGAlR+0FEV8QXLbpgnRsvwX\n7smAMbT+ma3FAKTr9NW1tA3qIWUZJZdWlhoS61a9XoLu9Hsxp+/LHSZAq+YocbgV2siAn/XExkm1\nIvBESKgF5Y9MHqnTUgdmP9OKpt6PGbZdQpay5QREqyzTun2hZZXIpPy6g8m4M9I+uAuPCn+zaZ9t\nkLHzRaBVTS0ENpIkrrVTVIjwEK2nBrOr3g/BMSnDNFdVXjQCotGLg2GIa+L3yU4mIGZ8+Dc+jHvf\n9zFAEX7m/T+80j4simV597E/+iwe+6PPhV/XskjrWMc6nuHBxwdLtI51rGMdN0SskHdvff0X4tbX\nfyEA4DO/+YkbWBap49UbZ2UdYeKDhGw7mPMX4s+yFK82N+Os2tYNYA3s2G93PHbsRAAEHVlnbGze\nShJhHn8i/hxZ78gFaC38bFxU+8IMKmuDW5tmnmzz2fQ8vc6MxOMXnXEenQ2oAOjL9rGYtWVVYsnw\nDszQ0C4uipkEIKfDJpYT1YpuWygxPBVIe8Zp0NKb1woPlUTBeHe7MLuCnM3kuzpsXhDb7YOG3REt\nOllpFkzNwNwFOrAJm1igZns7kZ6CR+/QVZcVBIQCmHtfqeEwnjvXopyepU8RK5TOjiexdhU4fLXb\ngj9EMI4Plmgdi4JdpaWuU4dHqfScVlXKTfL5DVU1/7saDETrtE0scWNcJSgQHYU+JpVlan0amyqP\ndQMqimSqIFUi6jmVtO5RSevgySSv8HWJlTIndZYD3PMScyypzE9bttG5bREVMaSxRsjvmemD6IRI\nQlRYb9gPac8sHyehtYmyiKYcbDnlb6XT8czKmbKjE5jgdb1yDojXWFQXuWkFE92bqISUJjuYC5n1\nwoZ6kZZwIK0pgtoYpfb4ZBLPL4+TcgG0ht3eXrz9GccY7ks1HDqTGL9vuqrcuQcy2AU6xGFmhr3w\n1Mz1x3ueyOthH46wdZzy7vEfcIogJVq0xiyXLDhMhJt6iXcIrDMBAAAgAElEQVSsTCD7ZhPLqMqU\nUCwDZPPktGQ/ufMwcsspgUn2nRRP1mpqnzPR+c2AI5xOQt3tT/2uOg8aczKf8IPjuN/d45vlPSza\na6w67SAhNwIgl2daJpwMANBpebFvCx/0eQNc2xmgasFe7bbRO8oEgB/I7o1ju5B6VRq0kwLmuV1p\nDYRExZzvezi/XloqKhl0JyVh36tCuDUp18o/AmkOBtCuKs68jusXsosd2tbivlbGROmW2IYEvPwa\n0kSu++z5ezJAVma1K0mngW02uVYEQEfXHp6IyegB3F14MgH84EQNBjletDM5lRJqGTM9SN1VlVMM\nCfjsQT/ux/QkT8VluK5zSR8pdxSec9nm7kT2/Gqd53YBMyIS74IMnqay86akI59g/i99t84YuGf5\ngnnGveDPndaATsoGCXZls7y18B08w7wly+f+d4pQNLFvTbPvAZ00HSCtvWFJUikJGH6J3w/38rJz\nSWUFdcJhNnlv7O+3ww84D5N3ieiFAH4cwAMAngvgAjP/CyL6nwF8rfjqTzDzBxat6xk14JQDSyor\nQPvKUa+XEmKYYR9iVpBpE4obRI1GU0D2OOOVIGet40yPm/kAZ3NlO627adKxFYVzQQp/1DpVueS6\n2zYeJxFnNoZuPcF6Le0zlQXseBJ/hrH5wNTvK5VFhuGRaHdZuciSlkx6wQ5uktsvhvOWyTeFh5XU\nVEUx/ih15qTbR9PmkiDdEFqVQfutu98Z7kjiS7uuI0K3koGMBBErhQCoFNjXkJD8cSdZFO30SOGJ\nZP5Fxt4K1cyZ/c4L0goUquQqES/s3l52Trlt435LDTsWmK8pwoE+ukHiuqX+DAjm+BKNFau6iXnE\n1g2UHxDRoA/yrxHaGDmZs6AbW9cZho193gHbXD5JkDPseJJjQUVuUlWZYUcpkoYOOBkKeaMqM0Ii\nFUUkzalBP+2btDxs6pgnCIhVWQDAeJxP5P3zZnd24s/a2/auIlHGcybAbEzqMBEBMW3ZeBwxBIY/\nXofuOruDwiWySbPWMTXQnPFzsNgFkOtPdnSN430EX8gNc2BZKJE4XyWsR7tkWGkZWdcJp78PHkjY\nH7V1EuTfa9SrYC9dThMEeZy9XiTughhgEztUUhNWRlbtLwr3jji009Ch8+5pAO9m5vcAABF9nIju\nBgBm/tr9rOi6DTiJ6Fa4UfMrmfnV12s/1rGOdTw9cZz04G7UWOfddazjxorD5l1m/pPORwrADgAQ\n0Y8AmMBNB36Wmee04FxczwrnVwN4D4AvO8jC3DZg40b+qkKsXkVsyAJP3AOHUqCqzGR7QvuWmzYV\nAVfEm8CmCkImPF+WrqIZMHVyhtOZ7SS5Cp6u7MqZccZsFPJPWTVLYDY7GNKpZaM/sE0sVTHLDrPY\nuH/ZLDgXtw0YLPZC7Zkbx7Jg61r1kr09R+Zolj95PN64nwv8c1cJpXKcbFHk0lUk7ovoO8zZ+SGt\n999EIQUM/HWwHGEQUv4lXusZ9yQtwEQ7vN0K12KFWIYleuJDn8ETf/zX4de18PvRx/K8GzGZSkj/\npG4KCALDabM8kZk1AJ185POZx3NPdRaAxRWnskzPuaLYEifEtBNx9qtEzAOiWkrWi9BnxyBw8tKA\nwj9Pli2orpNDjOVUUZN4TosM90lax2M4kMwfc+pekQJMRwRedHfkMsvWCeDgEJq5OMzZIu4S1+7g\nFL4l3rbpvlq10irvQ60yn3ZuWvHeXh36Jivx4R5xjm/+nHp3vJnHLe8DtqsJnthUBY3dqMN11N1q\nZ+Tdh3/zL/DwXX8x6+tn5q2HiL4NwD3M/Aki+nUAn2XmHSL6HgA/C+AfLdqP6zbgZOb/h4i+duGX\nFrXGmWMCs2MBXD9CZ5RuhBtBWgPKQVFse3fssZwNW2rnhptQtpvs3jjpWRLNbetLCzOqSiDc0HXj\ncSIJoM42H8QAyEg5atCHmdfy1zrCB6gqI4mFJxPnpCNfSqG11bbxYQ77bAVwPGCEsjavyfE3LKFU\nVZVtJyaezJnBacRFyQzmiGUEkLWVEi6RpgezEfOz+v2TSY1IkoHQ+4NMqKNRcjqRWE+pf7nM9UQk\nbrXhsD6klWvphK7OlD7fbCxd9lFd589Q53maS0LbT/Dy1s6Z170QZ173QgDAI3f95Vr4/Yhjpbyr\nHLTFTUinNVtVlQZ+PJnk8BqtwdvuRuS2TVqESsW24yz933mDRKnraLe34wBCVaXIwwXopIenAIBv\nh9u9aV3QWSFhUq5da2JrloRWsjp1ChyOQazXtferlAf7PXDP/azLCvDfNZevxLxoLl5cul9pA/t8\npwXCTpD7qRJxERbpPaN1BlmgQT9BbLbrw+O2JRxC4kPFe52qpAudDUQljKc26bshJCkych86rede\nL04q7O5u5ogVt1MIfHpngE5FmSYiWmdkIHvZayCLaxrWJ5+N8D5Tw2EGjeOmTSTjukkteXk8AKTr\n24FjTt69/S2vwO1vecXU5+//2p8+P2s1RPR1AL4OwNsAgJn/Uvz5dwD882W7cmwxnGfvOINf//wv\nAgB2Lu1g57K7IHe/64N477s+eD13bR3reFbHm9769XjzW78egDNgGG2Nwp/uOMx6GWsM5zMhzj73\nNH71sz8LsNPkTLn3t/HeX/zt67x361jHszPm5t2jYKkfMu8S0ZsBvAHA9wO4jYieB+DbmTkMMl8M\n4K+WrefYDjifeOg8/ulrfnj1k30NK5sLI8yGyiJv35rAtjPZzA0qtXxJ61RBEDP8hf6twiOdBoM0\n0+v1oAXYXbrvZMxRiEpfUfgqXZq5RfZgr0qEH63TsRlRzYCfiUryjKgiyt+ltE8XZB5mdwFWECWC\nRHUyY17PaokLdmPGaJxzX2TfUepgxIOwjCQ7dRmuwiVIuj9lIV2dlkRqzyW4gquoL3DfWOXZEN95\n75xJ3Qfsrz809eE+Yz3gPP7xxMPn8b1v/LGOS5YnTFSl7yKEKpm4n2cpQkhZMgnLOAjkSXS1uKVU\nCSKVdQxWrcyFPEttcvZiozL/chbmGlSVQOurbDs7mZOO3d1NrPV+D4TN+LeVHI0OamQSOju7u1H6\nSI0GWQvZHawkgPogBSqEIQhz6lBJ042DxizTjnA/SLkgCf2K8J92MVlG5NtE1hV/t+4e5XDtZAdK\nrkaQRFWvdB27QOhRFMmcAES+F93DTp9cEjGzz8OzJM5Jt7U/L+/+3Efega2zh0MXHSbvEtFXAPhV\nAPcB+F0AIwA/B6Alop8G8ASAVwD4nmXrOrYDzqwN3Ul6QN6OfroHm7MGhBQ0s3wo8bDbnR2wdC+Q\nGl5C5imW2xcwF+32jpDJSUxEIgKGAyg/ILE7e7kWY2gjdNv7RZHsu9o2MRgFu5qqCgjHVteALoFg\nxaVTS52vTqbwQzYyU3muvFN4eFXhB+2S9R4G1wA4HgLF9gbBt+l9iyODEYi2EoDcSrIo0uDZmIUu\nRFkEK8gOC9TOkStSg35nAOwTumC8LpxgADPZpqSFteWy/Q33XsCTzbsOMyY/Rxlr0tAzJCxPqRtk\nE1aR5+REUmknLxY0hVk6A3XhR6tgpYXNpdiI+1frpJ2sNPSp9EKOrVelMtjLvGc0fFd+J+CZeTKJ\nA0sl8Hz6xImp9cUBrLHpu5ZBI3c+lNDdnHrmD/jMSWnAKAcX8KFCCzRqKltONpda5RNiojQwPMoc\nYA24DW1qBzHKcPRhv6W8UN3MVcfoSiTNm2DYVfKjdGOqRg5OERQHiDLXOXtp9vqoKGZjkMW7Nthm\nRr1toqSpvOq754BxBKSh+wEczl/Tx3UTxSOirwHwHXDl2R8lohV9FNexjnU8U4OZVv5vHUcf67y7\njnXceHFc8u71JA39PoDf39dCssQ+S0x2pXXINsMRiFkLXcYww8xmb7PaAkIUOGNxz/FOn4rICheM\naA/EDsLIVDepmiYrppRm/VQUoM2NtA456+7OGqXgMUQ1jChVaQVzNIY8xzNZ76lNBq/9mRie4jxa\nTssXHbJOh+Edl+tuL5KOcl/5/YDjU0s7tZwWsent7q6oSqrsGi8SM5bEtBjG5KzUhTvq9lONhgIO\n4QWUpW5dRspKGqEHYs0uCWagXXupX9c4UN6NCwvh7Bm5NyPuLVoe+TOzUItyDrkoU1SwJoe37DOW\n6WFmlbbQoh0OUkVxPPH6ickXPbZVu2S7VZQ39hOha2OteLcZoDtwsNPXhpmTQ5snih2F5uOsyHSX\nRbeLCg2uhWtVyKkCohbVRbLjEfstIQvFnNy/KAL8azhw2wjv11XJOqRAKkARxOfM02550c3tiO+D\nBXGc8u7xbakHyQdS6SVf1+nGFcKp0pYvWiqGgQ/bfEBxjdqFctsst9+2uW2lZKM1bcKTrKSZ4Frj\n4SamunauFgBQVq7V5ROGOrGZ8DjCDpGlXZxneKPwD39ZpoFl2ybxY0VuYAqANjfddbjkCMRUlas/\nmPt4gN2GRUu9qpwbE1xLj0Or7OJlwLK4xsYJ08Nfh9heSwLB3LQOgzZD+D1rXwNTrZJMyiW03RYd\ni4RW7I1ziaJZEyaPAV0KGeHktAXA2auZ6QkGVWXaDjOoabNW/NONfD6KGbSvyt0L4P3M/INEdBrA\nOwB8Bg68/nZmfvzQG7qBQ/V6SZ4thMcf2729hHuryoTn9moR2YR7I1j/IoOwZO3oruTWKk5fnTCX\nkqCBlLJR0pJ3juqJfI4C41zuX2x/j8fxvaPqJjGYiwJ2O8GmeDKBDa5DwyE4YDs3IvkOitnBjcL7\naIEiS9g/O5m49QlbxlBgwETCmchNysNEl5I5BhkDGg3i8l03uoQLp2invAzyszSIplrNqRiShM5h\nkgUmFUUaHNc1iAjGw5AyW2Jjc8WAFSbKcuyghC1lFMyXXxaT9ShhKG2AiRxkwv9uLl+ZfR399c2M\nQ+JOX/ssvCzvPvXhB3Hx3IPh12smR3d8B5zrWMc6nmVxZBjOHwfwp+L3/wXAB5n514joLQB+Cq5t\nvI51rGMdN3gsz7tbr30xtl77YgDA4+/7s2smR3e8B5zMbmosW5KyjWlFS7TjYZ3FHF/caxmxClkU\n+f7MgQFIu0hmXsw6DtuYTJyOJtysT99ydinMIGv9WHb2oGGZsgTKJv4tq/a1gqG3m3Qmpb4ZEcXq\n4qywM7yTsygKkGQFBlF3AJmYPuC0QOFnikJMWFVlJuIcyEWZJWlYX/w5tfGZVG63RqEVdUBBeMuJ\nuEA0v3UXNA77PVdBbvexLaXctQqbGQ3B28421Vx4KjFwBRv3esVhK5xE9B0APgTgS5GA7G8G8BP+\n5w8B+KVDbWQdidghW38U/K97wlow6eNyXQNKCQ/vzrUO9560IAQyJvBMjc6DRrdrNENfFoA7xvBe\nkba9s1bpc5iZTKBPnXIfKnI5Z5ZWbcfjPIa1yXu+uz/dbYp3ntP79BqhvQoIBJdCJ/1HYHqb85jy\n0mLSqmi3q/y1POogTyyTVpsRpsUJNsVi20Q0f1865zypDSy4jyynd0RZCh1PA6giY5kntQIz0zDE\nEVt1vLeLW2+JFqj26tVEMi0L93yscG8rbyDA44mr0B+BBvJxwcQf3wFnkNFgG8eIWenc/w1AJmyr\n+v0pp4iIl1AE2CScvdTH9giC29Y9XLI1HP4mhd9FC0dvnQRX1gkdxy/PvlGnsCChtdzvJYyR/P6V\nK+kctC3YUpTTgFapRWNt5h2cDfZ6Faj27QUprL4xSmz2WfsaGHtdr27BtDd74yRDMhgkpuWwn9jw\nhY4wgPCwq74fUAr3DirSi4T3xpmINTd12q4QZ4doCUpHCTUY+IHgCvdMwE/2eq7FGFo4xiTIg2z1\nhf0GwDvzmbSq349uJlSk687WugFA2Lemgd1Jk4IMBnCQe/6IWJTz9OCeeO+f4sn/9NFZi2SOF0T0\nxQBexsxvJ6IvFX86CyDgRq4AOEVEBTNf+wf8WRpc105iLIhlZy/hSohlz8+j1OtBhclWBmvyz0R8\nkY5THimLOAC1u7urORB1I5pNeKhNeOY2N+NgUhoscN2k5/z2W0HGAo/5gU+nZSsjyrlpDer1xMRS\npZZxXUcjCpmraTAAGZOJjsc8oZWQnxMFgc61oNEw5S0BnaG2dYWEEFq42BmTzrVs4xMhuqABbtJw\nVANO8R6yu7teHN2vu5XvaQWGx082TVIO6LT056LPOsx31e9nLPx43NL9jchByYDo7scS4x7co4o0\nEOVGuCBpDd7ZSfAs5hwuEos7OjsP1OvF+2FKPSHiPIMazeGuw7y8ez3i2A44RyeHeNu/fisAxrnf\nug/n7ro//4Koak3NPLKKpk13qFXpAb+GWM7DBhvrHrhwHAv2NRuE7+yIanB+g0PIYsRk6B1xSDyU\nUtsuElSAfNBei9menIkqlSqhS/ZVRki0HAhDclvhO61wXGCxHeXlqCK2t0qDzMkkJe5F+FGlUrLW\nqVJAJnd54HlVgu7xhOX7Pbd9SU4K10QeZ4dk1n2BS0xavBdYxVl1TFweq2snkyOrEr32W74Cd37r\nV4X1HQ7bM0fa7+ZvfhVu/uZXTX1+35v+Zdfx4tsAjInoh+AsGisiehucDtwmgEsATgC4uB5sHjxS\n7gU+/J6PTOdeRanzACQMpsQjArmTjeV80AO4apL/fqziyUHYQUMMhmU40t70i1dO/qg1QGsSAapt\npr4fQuLxdFWKSXln/8O6MutFnZ9HolQBZiuIjZxyGHm94DjYEQTEMnXSyPhuTBggicph/k7g2TkI\nuKakFvd+ExOYqKHMOVFo1ftA4lDD+6+s3LE1wepHZecrXivilEfL0mtPC5Jl2Ie2TcswJy4J8urn\nVBcvVDirMnc40jo5U+2Jgb/SsOMJXvstX4473/KVgNYYnegUJ/Ybc/Lu9YhjO+DcubyLd/537wIO\n2spcxzrWceg4d9f9uPcDfwEYgzd9198+NLZnmZf6omDm0DYHEfUBbDDzO4nopQDuBPAwgNcDuPuw\n+3kjx87lXbzze/4NoGjaJnUd61jHNY9zdz2Ae+/5M1BV4Wd/90cPvb7D5N2jjGM74AR5vEdjpmfQ\nAKScjp10MHxapcqbtaJipoCxYIl1K4czHHMOzHAX+7xfiZlQeQxixjyepNl0B5sSq1+RoehniONx\nmhlXZZxJZ61c7WEJocLJHG9LibNhIUoPpaBuudnJLgGu7Rb+JqqqEd80Y5bKxghf2zYdz97YVTlD\nS2E4zFof8ZjHieHtxOqRxKjLIrqgQOvolsStYEBqDTUapRaYrMS0bapwbmyl7Vy+6qovkzn3wIwK\nKUg5DGg4j22bVBSaBAORPsw06ENJ94wyf0QDFtVceCrffFGs1i6f5QoFAGxTpbluEga513PrXr7m\npcE4GiwREf1dAG+Eq3D+VwDeDuAnieglAF4I4AcPvZEbOYiSdFpgSI/H6VmQWDRVRBUR6AqkVWyB\n2t1dILQLxT3NxrmvxW1onUmeZT7m4tmBtSkPWp6bj+VzIFvnajicWeGUqg3hidA3OzQHT2qY877Q\nvqjwISu41ubt6MyNzn8nPO+B+UyUO8/USTA/mHGE91rEKQ77QspMbG9vklVMiYRMEzPQhfP44AvJ\n330lU4kDhhoNUjXXM8PdzwYE0WZesdAU7xetoU6ecB/6nB4VWXb3EmxpPAYNvZJJ28YqaOY5D4Br\nA/uUv386PIFw79ndXQcxCadf7LMaDqO6C+oG1LaR+c9tC3Nle2oZ50zo7xci91ys2FmbF6vk3cv3\nfgqX7/10+PXGZqnHRDUlrRDK4gkzE0O2UIVsB6TGo1lA4rjO4RJqakHFQRAEhqes0gCzYZhm2z0M\nAKCltVmZJHMEpokAd+7COTFdW0jRThYao3Y0AA29TmShQAGHsyPcSQLBy6TlSQ7Kwj5ITGs3wTRN\nTloQLY0I8u/3gUKDA3heK5AfZBJRGih1wftKaGKqzjZskIYSeoNeMmTeox8SSebcoQi8V6f2XLda\nFF6yTZOugeVpLdEo22Hm3q+r3seOqCAwShJXJgYA3BnoHjbp+S3A2KMAwPNvAPiNzsdvPfSK15EH\nUbqf62bmAI+lHa4GuJ0NXaEikWpI64z0CaSJPXXzeFzGtcMjIUkDXIvvrjI4sdbhwgEoOemVGGfR\n2nfLmPT+WfSMKUIQ1GEkmNeivSIlCiOFdq1wwGHrQ266ejXl+NYNemYR/7gqIh6SgmOQmESzgDpF\n7U2i7Dmn4SDl4P26mC2LjDgr9YgFacjY/L09i+C1JIIEFVoz7VQUtUBVgpEFdzvAFSik3NXGKDrj\nLKz0izzKYlzCxoCfuuR+9k5DLN9nS8IKLe3DxfK8u/HqL8LGq78IAHDhno/eoCz1daxjHc+qOC5s\nyXWsYx3ruFHiuOTdYzzgJD9DqfK2asbYmvZ9nSlSu6pwrfQ7nzVzC7MXAVKO7SRRZaWqiozog8jp\nhJm0uZhaHGrkRIPZmPhzti++XRs8a3k8jt+jySRv1wRgdpixX/YEXznrNwb67M3+0BR4azOeA9re\nde0cAKwUyIp2jRTmJwIXrl2hxAyXjQVJaSYR0ccWyFrdfGU7tWGaOm9NTRBbVAASg70sgCvu2IKk\nSDyfG6NUXZBt/82NuM3gzw4kQo4MKRgdK9DBp92fA97ZzcWzwzkQLHl3nKHaGli0e9l3jyKoKKA2\nRunebFsn4g24a7cnKlBS5Fiw9Q8TrjB9PBLfOhaEZ9pSWSXFiLIATIKxJDKQyJkLKoBTjiviZyqr\n+HcjKklUVqnqXpWuSyKre1nHwu/bgkqUHY9jFZHKInVPZAs+EO/E8x5hSwvE2Xk8ydroLKtzM9r4\nVJY56adXARdFVdHvkx2Po0xO3KfQEm9NzHtcaqAMLeMSZKxT8wBATQuCP/9FkaBWQEL2McNcvDTz\n2ObGPiBmOrC9Ae8o5PPcdiK67ifPyXdgJN8UhRPABwDLsCLvsqgaszEgr8CiNjfjObRPXczvnzkV\n3O59zpNJvJ/lvQw77TQ0xUiX24pfCm3BoyE2H6e8e4wHnCIku09aCx42JK5olZakbOGnHfJ/s2mf\nukzLBYlq5V0NrQ+lnF0hHL4IApfIgu2JVrTUpaSRLOlrJykUWw9ax0RHxiRcpGduxhhPwCfcPth+\nEeWXuNRQ235wvzeGtB1jiEGLbBMURc5ulfCIQrTBFYmJh4pgKypLsLUO1+mDg1xJWc5M9uE8xsGs\nxBEJiRS3S8sfVJaM0LaNAzpaYhEZmY5Sfy5g1Q45yAwvyUzFoG0jHgxAdIYRB5K+F9UKxDk/gjgu\n8hzrWC0iHKSrCyzvmwO0PvON2NnrWDDJIW+DCyBnfy/DMke1Dhvx7GZFYhQVZWKtMycGcsBtC95A\nfK/UdRrYCpwnGeMGnCG/ydZ2r8pb8R2FjYCvVG0LdcIN5FSzAfKT1Paxv4He2gKd9IO8SR1b6iR0\nU1GVsaVOrZl+b60aIkeGgaVka0s5unRM/tpZxhSrfz+hdVq/cI8jrfPiExEovPrYRp1ju7sLbId7\nvJNzD6Bkk50/RbP5J52gXlJZuRaWwsDxybvPjAHnOtaxjmdFrAUn1rGOdazj6Y3jkneP74DTWgea\nBbJWdQiCQeIUpggi3nHWIyuP3fa2BC/vpwop20jC9ze0PkiA2xHA8WE2vqp4eCekV3Bg1XHbRhB8\n3JacWYbqZ1mAeqL9K8WU2YJDdbDXczNgAKgqcABPA2ie44hrxWXvtDFy1U+9O8c9oVc5RmVwaii0\nm0UDHSiAAQ98JZUIPEg6mmhMPI+KGdz3bMTt5G6EqnSM+VAhYAZ7D3gJESAix3oHUpVDCuyG62US\nUYibZgr0r094FqSi6MpBlmHD9VEU74+ZsAwf0s9X6hDObbnsM+ZVKvbtixyuxZG1dxbPtK/+ySex\nfd8nw6/XjC25juWxUrWFOq5BsvM0TxS+A02aS4QTrUqMkxMX4GE5wrghwlZ6vYxo6FQwAqkpQVfU\n1sno0qODWwwA8+ST0/sx7zyE5xwAqV7qhmidWOhVGbdJUtB90AcXOuZYc6KH8pJvj5/cgH3ws3Ez\nass9BpFxrxKTO+SLoizBVz3rWRJBAS9a7ve1brJjjD7t5hBGKFI1xbO/Va8XiaVoTdo3Rfm7bB+h\nbznrtiEc26goUu4ty/l6y8wzj4/rev+ao5STLbP1SqLtLE3OWS36p0F6bN1SXxKjrVEUHz53lxN+\nl/gdJ2vk2xNdRu2cIK2nbo7IqjzoFECw7ea2X6U4elHk2D0/MNjXQGCGAwQVhZOV8IMqs72Tb1fu\nW+W3b3Vi9QGeHSlwfGGAaBnU+KQ9aUBNC1W786gu78Ce9PhSpYCJSM6i7UWW87a8sHtM1poFWClw\nmcTro1uSxIAKljpa47CWAW+pdUzCSm/mAvViciAnGNw0CctUCjZtX1j4+euTxKsZKkp7GMGyXe3B\nzq7HLEePw7Ypj8jY4LXf8hV47Vu+Mvx6qAEgg5Ymvo2vfCk2vvKlAIDLH3jgmrEl1zE/RieHeNvP\n/2MAmG260XF0iVJf0cFmiUNKnMTs794mRWkiJZQ73KpEq7oLt5qxP9y2MVfxZJKrYew3rBdjD5PI\nqcLG9CIc1VL8V9rE1gZz3oaWkAGBq7Xj9Hn78CP5+vfG+XsmvPc6zO3Y+j5ECSzivasqncemSdJO\nIu9nXIIDhsz/PKnTu3O/k2m3stUH2hkPYU5+nXce1f7uL5d3Xw2AMTo53NeyU7u0Qt7dfpom+sd2\nwLlzaccJvwM4GmmAdaxjHfuNc3fdj3N3PwAAePNbv/7QA8Bj0tlZx4LYubyLd/7jn7/eu7GOddyw\nce6u+3HuvR8FrMHPfeQdh17fsrw7evUXYeRlkS5/8P4bUBZJa6hB380+ybcaujORRaBywVoOmmpO\nC3IGyQdAZLy7L66+n6KSJMVyozivZdcGmlH9zI5nFktt3iZF25U9c5F6PejTp2IrpzixmbYp/Hi5\nECLnAUAu2dr+ZzPqQ192LRx7cgMqVDiv7IBPbkDt+SKPDcIAACAASURBVNnrzl5qnRScGPAbQ1fF\n9NtqT/RRPOnOD1mG3fStl6t7sCPPePeVzXbDtbpsSTAD95m+dRT3oXxqCLWTKo40GYA96zDzSx9P\nIvGJiiJ55o4njpEY2NrGxCq52txIjPPBIFZY1WgYYQIAgLqJbSK7NxZt9OnrFUO2VIRIvt3eTq0+\nz760ARZAYqWHBeIonVQV4O7NSMLrGApck2CAj0CHcx3HIGIeNflnvCLhrVMlXRZBXzhWyATRaEq/\nVy43GoouB6XqZ92ktqyAt+hTp4CiiHk160LJ1md3m7JTJI0kSIGCakZRgIpAsHTdn/akFyDXBH7B\nrQCAZrPEoH2++7xfxlUXWqN99DHwfLfNLHjXkYjsi78A+jGfl7st50M+82pzM0GThoOkEKJE96yp\n9w0VUsNhPKfqptNOHzOw88cTtE85BRcqynmrWN0Mo7ucsBKeMkrxkbXBxTmdshUOHUPlCLHzYFZT\n4wW4MUwUhz9MHKO8e3wHnEC6cOEl2ZHBiInEJsFyIppuUfqBBnUftswfVQhiHxFeLYvQAshcBXK8\n06FWP5mg/fzjUYCcNjfToFvpmYmFy8LJafigxqQBVt3GB4mMcdJD8LjRcQ37uMMB2Z0d6NOuAk91\nA97xDPFewoACgGpMbNFng96mjRMCM/LyFJWXryCAQidoYlxbHu46RqcjOGmNgPdVg3584amuo0Zs\n5XmBYXHO43kbDBa3/MJ+FzrJk6yKwZHXWLJF5eq9L7wWLNf94i6pKBIDviwSa74sphQfMhycbHcF\nsekgRH9EcVywROs4RAiXNwACi9nMb6N3grQWE/7l0nFs7FSRINxJEtPHUuWClBeMDyocYt84Tbay\nwoUx+YRfqbhvajDIJeUE7jvDsWZwGcENUEnWj0sNGIYZeDxmQVCFl2MrEwaTTJrEQ0rGLQm1dTK6\nkpHhxFLviqEfMtTprRwqFX5u6igPJ/PKquoycoBKu3vuumwIdZYIh1qiArICSzyG0nmOZpsrIGQm\nJP57SmXFA3fP5ZN6ub4s5KQkuCURpWMfT44MGnVc8u7xHXB6bF+mu9av4oW2e+OYKNRwmG7AunYE\nEX8Bua4joLz74lRiZsvGJKiNMbkcSNgl6dISF5xdGc3s1faSpqLq9dKgUyxLVZUwqf2ek9YIOEfL\naXa9wG0GzHFwojdG6eNelVc7s4Ebww78wNASmk03iNITAxUGiFqDHn7c/VzXwNaJiBWlugEFu9Be\nFbGZPOihPdGP16gdFRhcSNp2ZuQfsJ0qFpdVa92+sVtHs6lhfRImKwbGbQ8w/hg6+ncwJt0zg34k\nQXFdo33CW9R1HmLV7+cWkkImKmrZtcZZb+65Ku2BgO+k4ouax5PMajPOcMNAelZVZV+b8udNYIap\nqnwFKummynszl6TRaT2yMnTIOC5syXUcTVBZpZeyNe7+XqFbQ0UR8zEN+klWbCxJj90XtAKV4mUu\nHYJkTowDPgPYftS2dTNY8eKNeMM2FSy0cpNgOYCU3IHwPSC5MBmT5RoUCbseK36Am4ALDDg1LcjL\n8yjL2DvrCUQVwfROu88NY/iIx6SvINEGuGtib94CF25/xmcHKDf9u04B4cjaJ84vHNDoF7/A/fDk\nBaeXCV9wKDskMeGWhNg1skCTyJshYtcyXPsiTYJpYxQJn1RVUYc66lHv127TmkTylOfecrSPlgUg\nqjw+NkgUCXc850yYulPkpQlhjBuLhGNQFI/NjUuCw5+v1oqqPM3ChDKnqi3bI0MTHpe8e3wHnOtY\nxzqeVcE4PjPtdaxjHeu4EeI45d1jPOD0Myel0sxC4A1JtCegCGj8DKPbUpeMv1lVmlktEsu5+Hf4\nWWsnHitkloKA7H4izmyKQsysNUDT/u/h+LIZt3RQmFMBI+kRC4gpDqVj7hWABZoTQt6nCtU9gros\nmJ9+lq+GA9hBBTqz5X5v6oifpNYkKatSnEsAes/E2S9RCbXrv3dlG7jZzeabjRJ6YqH8OdU1Q4VJ\n5cSCfauCjI1QAOIK6sRmFEDmtgWFaocxqSItPJ+nQmKurAX8DJNlq43ZYZL2W+mbcscK67MJ98lp\nVkx+H2T1c560TKzQBxclgVWO117+PItZKfdNtkklJvWgcindYLgq0zqeNcFNPYVPX8WcQ8JEqG5i\nq7db+Ynf0crf1x2Y1Sr7GCqlTStan502euiE+HdMtg+i0xRhSrafqoPGLxva1lUZOzD+oNy/mVSR\nAqOA9RVb1TCsz2+qZSgToE0c8fKo54M39S1nk/TQi+6A7adXe7FnoMfeuahIEnDFc26NlT5z4Smo\nTaHqIV3epDNRrwflq4bUq5zjXIBetQkHLiuXbEzMM+TNRlKXL3XlUDfxnNIBOjtqOMxY8hl8rW1T\npbrQWb4N71De28uq2QCAfg9ToSjxAZR27lUyt4b3axfnqcV2JdRDeLFnJghKuXfvipXtubFC3t25\n/z9j94FPhF9vPJY6WuOsvJSOgHEZmQSDCDYWPBY2hFL+xnbaPUDmHBEvCamFAwvKXCFm3JB+fQCc\nnqi48TI8ntwXMTgK9mtZm1fI5ARsIjdteqgtT8lDRdC20H+zw8rhguBxRK1N2EjDsYVtdYFikAa5\nVmi30fkL8dzb8SRuV29uxBdHc3KAZrOArdz6TEmg9ow/bor3vzp9Eu1NDjhvBhpQlJJwzYDg17VD\nTyDa09BBzqp1D6SU3oj3BTNQu3NvJ5OsVUFFsraj4TBZakrMzrhOL4lJDfPkhZn3ogwqiphIpjCk\nWid4h8BWct2khOMTZUz8g0FqpcnBp4QOAPHFAcBLO00Pcs3Vq75lkwDqaQV2X8S1g8Zxae2s4wij\nc1HnQn7m4Om4qcHGtyFHSQKGlEkQqoBHlDlfEECzl3L43BpH5KQEvcqkguIOWDEobQBjYObgpqOl\nIlwLOBwXEYHD7nhIFADwqA/4XMWDEuQLI81WH2piMNnyubNm1JthwAkEvSTVAsVZtx017qMoXwya\niIGnz1eTF9wcJe22n1vBlIDpB0woUF0ORQVgY/M5bn2NRfmUyxvFcAhzyxZsgOI0Fs0pl7/6jbAy\nbdqkeVoWLj+G96vUWq5KBDdNlGXg/brzXpaRT5HdKyvapM4LGvTTfvYq9x6V/I8g08Sc8K3C4pT9\nhCRCkMoiQZyI0sC0bZMUFJG7N8NAuddL7fWqyu9fKyZZRRE1tKcmWBLeMRzMls3bZyzLu8MvfxmG\nX/4yAMDV37nvBmSpr2Md63j2xXrAuY51rGMdT28ck7x7/Aec1gAQkhgzgL9UJLHupV6wQmKGOwK9\nscKobNZqjJ/DVyEleFiW4GW7RrLYSGVyNLG9UBYCcM/R6zW1j8Q6QmgN8rNsMgY4fcp9HloIYX1F\nkeSgLIu2h02EG7/K0EZXtUWz4Xai3DYRdK52cyZg5gACgCd+1n7bKeitDQDA5HQJ1bCvUgJqws6V\nCIgMzfBzs+HOYTtQsEWqFBR7NqIMyHBkrFObWjxgdrNZDrPPvO0t1QsYodLNDuCvUiXEXhaSVmEG\nbznKKnEQiZ4x89ZbJxMT3BNzAH+/ClhDNo+ltP1uZTp3brFOUB/+eof1EaUKuG8JxuopkN8zc903\nOufxWqgzZLFcgHj3gf+M3T+99q2ddVyHWFQ1l+5fofooHLjQ7U5JuAyQVzun1u3lx3Z2YgXMEUTS\ndnLC3PyKUpArI0VOQg0Ag7OuBFv5nhIMbQLgc2qzUUD1FEwvPQ+6DlAi9x8An0N97mYHMwvObLS9\nGztX1Fjo2qt9lBV0g2SasQcUE/Z/I5iel58bKrR9dwz6zBDNhoZq3PeKXRPzcGwHi3PpDqIF7Y0j\neYp7yemHlJo/xpHOe4d02Sle8PyZUKFIPptV2jMmsds79wtpHe8LuzfOFT5kBGKRQl6ZlcdDKifU\nyfuMEmyDjcmqorED1bTu+h6aObQ87y5cmuiFAH4cwAMAngvgAjP/CyI6DeAdAD4D4MUA3s7Mjy9a\n17EdcM5yu6CiAJG/GAozsXGkNagqhSOMyQeh8gac0lKbraUYWXmK0qATABHn65glH6NUrgUnv8cW\nZP3xMGeSFQShxWhMdiPbqx3IAACQQnH2THr4h/20b4WOrWEzqmILvd7qAcwYn/b4zJZhA1ypJOiL\nnpl4eT47UH/Ri6JE0faZHsi6c7X9HA0mwsSPh4mB9vUO90mGUHq4UbEHDM77ARoBGw/twXp8pmpM\ndORoR0Vq/TPHwTDVDSBt2ZhzHE502NCRRUpVmWziVgzq9UBlkV4ykzq9TLSO+4aqjNsky845qRaD\n1ZCopCQXkLV+SNuY9FjIJ0loBluGCve1UpCKDmxsstDrKiF0n4Ul+KCjdBpy21z85+GrXobhq1xr\nZ/t3/2TtNHQdIuReIsK5ux/AubsfmJpoZS3F0H7uDtz2YxccBoW7u0khQesp2ZuUI1VihQf7YCBT\nGKGOfjO3CcMpJ81qOIzviKAiEiwf2QhdUWFpKFuxFI5TDsr8z2azHyFSrChuk6x79hrflTcloR36\nFnjBMB5WpGsCa28jPGYMDKcCQN1EKFGzWYLYHe+VF7nWeTvwk/2W0H/S5z4LbDyackB1aRL37amX\nbaL1TsmmKtFuuuXPnLk9vhe2PrGdJvw7Y4DF5FjrKN3EhU6yVVzlOFD5gp0nzynPtW9TB2a4m9T7\n+2VzAHV1L23TFwZI+cGeTeOAkD8zrebOfc3GzNQMDUWV+PsirVk5kBSDUbWxkansBN3uzH0QABTh\nNX/nlXjNN3wJoBRGJxOM48BxuArnaQDvZub3AAARfZyI7gbwVgAfZOZfI6K3APgpAN+xaEXHdsC5\ndrtYxzquf5y76/5obXhopyHGsREgXsf8CLmXugSKdaxjHU9L3HvPx3DuPR8BVRV+5nf/p8Ot7JB5\nl5n/pPORArAD4M0AfsJ/9iEAv7RsXUszChH9CIBHmfnfEdF3A/gUM//evvb4iILbdmZLM1PvVzpn\nMJJy5TXg4ESIAKQmgrUsKqEmko6klmKoOIVlAOTVzzBLN/F/fv+S/pcM0jpNUOZVDayB3dmNFQCq\nyiS8LiqCAGAGooVdUmzr2IKgfUtFNal6axdUONvTo7juK88rUOz41k2fUF5l9C6GCiygmgRir7fc\n93ZvY0xOBjFkYHChioSiwcM7sD13DKpU4FD5mJjYmgLgWsuBM0OUl6hntZMPAMKm0N4LhKCNUSIq\nsU1VzN3d+WLB3Yq8VEIIs2J4QLsODE8BfJei1pLoENp5osKSeTHHfQmLzqjyZ+2efVSm9h3rAecq\ncRzybkas8xV+wN2TkVUuCSVCZ3bm7yGk49as7c6DR1kT/cOp14t3Etd10haW5gZKuepRgMVIlrfW\njiAElyvRJL1FsqkglFWymLNWbPSQL0u3vmi0kYTbYTmSNB0p0xMfJxbtQMfcy+TyIgCoJrXUdc3Q\nk9TZaUcllHdkU8MqKndc/YIC2jdA9JhQ7ALllZDXESuUrIH6ZPC8B/oPuzkk90v0LlnoiVtm9yxB\n77mfi7GJih3qyl7Ottepe8ZCJH8qh2Q5mWerDIhl1GAwdf0DyYZHA+fUBMAOSlDtc11rgAB9apqo\nigJ03qmy61MUsVrPbTuzPb9SSEJcZOB39r8LEYl/UPFzK90KS1/JPZJcfDR5l4i+DcA9zPwJIjoL\nILRbrwA4RUQFM89lfK0yhb2JmX8CAJj5F4joJwH83iH3+9qFNVPl7yw6LHUSL/MkvppjOBPWwk4n\nytCi6Q6Gu9sRcgghATocXxiYJpcDKkrwpE4sZ8tO8gEADfpRhFe26e14DDQN7J5v5zYt1JbvgBYa\n7LGVACKb0ZaEtkfYO+uPTwHhxix2FAaPuVK+bm9F+/AjcXl9882Adxe6+PwBjGei797CgVwJJnYC\nxr5F02xa3PLyJwAA/aLFV970kPtZNfiVv3y1P2UWfK4HDqdOtGFUYyP2yIzKOMjV5/35C2oBSmVt\n9CTHoaLV20zow4zQZ25KL9yqArSK0iNcG9hgO6ZoLhZpFbYllRUQJJ+ChV9gVDZ15gYUTjBJSa1Z\n7lpy/eEF3rTzX/Tz2uvBfeOoBqDHBLz+DIjrl3e1hj5xIn8BK5ULsQfHHNGmBptpIfgZ4Qw0uh8m\nFY5VnplMoaNNg151chPKPy92Z7o1mik7qDQojOuCG7SG9m1x0+n0t6ZJubeqkkxRUQBlAXvCLWN7\nBWzPm1dsFNAeg9kOdLTn5YJQn1CgcIpIDAoVoR36AUhBML0wUwSqnoJq3BdNlfDutqQ4YL3twzUG\nD55H+5nPTh2/PnUKF7/JeWabHmH3haf8vimYkjDZcudx/JIxyr67Do+eGsYiwO04E9c1+tw2gkGL\n21eF4nKAD6goHQStgJ3ARyCgFLlGDkylCPtwkN6Zw0H2d6ob0K7H0tY90J7PvYV2A03Asenb5JbX\nFXiPYcWATsg37TtWKGZJxQQZs6TFALhiVk2ziyb7jRl59+rv3Yvt3/vIrG+fmfUhEX0dgK8D8Db/\n0RMANgFcAnACwMVFg01gtQHn5zu/X1phmXWsYx3rmI71gHPVWOfddaxjHUcTM/Lu5te8Bptf85qp\nzz/33/7Q+e5nRPRmAG8A8P0AbiOi5wG4G8CdAB4G8Hr/+8JYZcD5QiL6QQAPAnghgOetsMzRhQAP\nH0Sbayq6GnBh8jCHPCHZ5VGzc7/BFtyEWTJmCvjK1qsaeDHd6FEstM+ApAfW8X5lk7yGSbT1YRlc\n+XZYqdCccNtq+4R6g2BCK8cA2uP/izFHzTi5bSor4MwWdl7kZsZ7ZxQap7kOM7CoLrkZYu8iUOwx\n2oEHv+8p/E15s1v3zWO84tRjAIA3bn4CZ17pKoWf3juL33/Zq9E/745hKFo3qjYodn0V0HAEnnPh\nfGxpXiskVPeYU0XQOMZrJlAdqsuSWCNVEYqiA9WgxcDxfQQ3tbsvgKjjGdqXUbHAH4OsamdENCtb\n7DY7tpX8i+dpcB51dXMt/L5qXN+8G/yhpQVhaJ3u7sEKJQdZnXT3S96yBBA7NO5rDGqaRObJIB4L\nWu1llXKwNVmVNOZPY8FB2sIYMBF4IrRrQ9eo6eTUQPRTXoO5SHqOHLUpW+hSKqYIxQi5n8bGTg8x\nspd9dVF2QvpecxPYvk1F5BcIUZGjmHBkr7c9ApkEQWp7BOPza73pCJiAf8Qms3OTuXgRGw+7JN+c\nLLF9e2CJAs0JQuMbYbxXoG7cdopxOj5TIub03okeTKVQbvvrWFCqGstCIaf8Cquy8yWrjfJ6oG4A\n7Zfp95IJDOCIpBf9/OvqVZgdr1ajhfIILa4Mhtxpm8nR5PFVPNsXwZZm5FgqypkmCPuOQ+ZdIvoK\nAL8K4D4AvwtgBODnALwdwE8S0UvgctQPLlvXKgPOf+ZX/F0APrrKSo80mJdLHQH5Q09q/3jNLrsy\nfCxL7vuJedsXA+jMo5oT09r4Ert0klEnT8TltWdKSzcHe+Wqa7OGxKkVeOQxL/0yYofafvInNyXQ\nDgHj2YyGpVgw4fIXO1a5rk+i99Ttbvmhxvh0EUWKJ6eByU1uH/RYofTkb1ZAfZIw+AbXRv/5l/0H\nvMrLL024wa9cdT69V80AV00SSG9efwVX/8az8ugm7NzmtjN8PAkjbz5qoMfem3Z3AGpMZImzVsBT\nLhlRWaYWmrWgm2/y+0YoTp1Myak1yQNe4iq3d+Ngz5y/4DC8oXVOKiWZrrzQKgLq4h5TwjwguKlE\nRxOt8wmKlFkSkxRuW4HSEYm3adP+aR2Zu3FbYl0Rh2qRC2RLqZpDxlr4feW4vnnXmIhxBOBysBx8\nykFDxEjW4KaN93MmFZQJfPvJXWC6yxxvdT6xX7HFGXPnxYsJguLZzJn8UTRbqHP2emc9IbRwoOOw\nDndwnXeOaC33CtSb7jkjyzADFY8zxOTmPuoNjXoj5dHQXm82OE6uccENLAFg9HiLZkNHBnt9ktAG\nArN12M9sf+aE+qOPAgAGoxHqb3mFO28VYa8PNCf9tRm2GIxcrpsMDMzYnYOd51RxO21fAwqxMAFW\nSYoPOso3uQU9vIEtzFOXlr6fjcAyqvBOC8dUFnFyTUTx3mFjcvlBGRIiJzGosmizJDlF2JbllQap\n1OsliaXd3aUDzG6wlG86ZBwm7zLz/QA25vz5rftZ19IBJzNvE9GPArgJTn/pCAAFK0aYBUi7rBDh\nRQhAkilkterg2xXkDOk6FK5aIK8o2n/VVSbXZsFD19WFi/IObbCigN3eyXEuzAm/2MUqRY0KQrnt\npRkKAmuAOOA2OeIn9YRRjP15bzmC05tNjfoExVkuWeALPuC+V10ZY+c2/1Ay0IwIT3zawUH+9em/\nhTtP/hUAYEvvoE/uQfpcfQafGztry0d3t1BPSuhdlxDqDcrA86EaYAuC8vtj+wW0EUDtQoO8pMlc\nfFC0u/T3TF0DXmrKXLocZbC4qVNlxrLDWcb1WOFc1ElyQhNw7q04JwM48g8lgoMWtmmdl0iXXDYL\nx+kqpHOWs7kUV8S7CrekGAcF03djPeBcKa5r3vVhxUQne5F33dXCJMiy+17ISR2LyDihCYNAUe2J\nA1NR4SRpBRhImOUgbtPOcQOSOp406Md8wE0TJ2/U70H552WWDE6cNGqd8n2RJmXm4uW8K3V6C1T4\n3wdlHFyyoui2BgDthsstk5NeNilM8HuMYidUUh3pBwD0BFEbs3d+jGKvxOAJv64nND7/Gpfnq8uE\nq8933xtcKNC7ZQt45NHZ58eH3dnB1gc/BQBovuR5ML0+TN/nXl1i14QOGYH2QlcMKPxlazYUlEHE\nq7Im2L47PtlxotYI0qvKSbArFIbCoDK+NyU2U2uoyIkQ96jXsZa5blZkznFCgg7wHUPpRBgHvDrL\nm3keLvJtHQZ/eZRub8ck767CUv9GAL8A4M8AvJuINpl5rVe0jnWsY/+xTPj9Yx/H3sc+Hn69YYXf\n13l3HetYx5HFMYEyrdJSfwuAlwL4fmb+FSL6sWu8TwCA0dYIP/AL/wRQCufe+6e4930fzduJfdGG\nFPIHJFiVANwsR2KF5s0aRBvUzVxF2zt8LjFEfn1TVdcQslUutktlFWdHQeJjbgShci1kNlRqC0kx\nW+IB7PZ2rBooIOJ41K03Q3lCte1twYZq5bBAO6Do5tO7kqrJgwvpnLYDhe2b3My13iToCTDwrMPb\n734C5tOfAQAUX/g8VI58jof+7u04+fWfx3c95y8BAN93+mPYUB1vcQB/034W3/jgdwMAxnsViBjt\nSXdeLr2SgcptZ+d8FWU/WCkMLrifyVQoNaHy4r+wDA6VD6Vj1YFb74oBgFvjZKMmyY3C7iQvctnG\nkNUP7kJvw71hkMM+SEwnZXud83Z4xK51ZtZuwzb/139vHrwkw/qUadZORZFa7XF/xSw+uBPJ7QgM\n6Wu++cvw2m96ZfjL4QaAjHivzYvRK74Yo1d8MQBg5w8/ciMLv1+XvAsAoxN9fN//9vfBlnHu7vtx\n7q4Hsq6PNE3QN51Ocm51478XSmANIBnBImhTdOgmk5Q7hc+2W2nqbklHFmaRe0llz2zEuE8mQNfg\nQToNLcLH+XxtLjyVLx4hOibCXuxk4hjZoiKsJqECR7GDVD1VQ3kJn15fQbWMSy9y56c5adCcDa1d\nwD7q1t0OCbd8xB1b8egFFDZJsF198xdFqTnzusv4+y9yrfI3/xcfxVf1ROUOwLc/+A0AgI/++Qvw\n0n/x126Zx5+Ix1fcN8Hgpi+B6Wu/P5S0GxngMrDPdZRpqq4YlFebWD0jS9F/XU8MlL+mqm6jIDuQ\nt7R5GeYRcFCgssgNPYKKR9tGx0EAi7VjQxdUOtWJdzZZm3WJCABpoX4S9keYCwD5+EMN+nEd9urV\nAxcWpeHG6ORwybeXxAp5d/djH8fen137if4qA85HmHlMFN+ih/OiWjF2ruzip7/337qBpR/YZaDi\nbom8216cYVtGGsl9wmPlMtJNHAAIbKXYjpMp6iccXwZ2XwBQVgSooNGZtLhUv59JjUhHi7kyNfIz\npSLomrTKz4G1CcvUtGA/2KoeU84SDQDZ22Arhb2bkuxGuDGZ0rZUzelzRdh4tEb/jz8JADDC9Ygv\nXMSFb305AKDcZmy/91a861WOXHTmtVfx3Scfmzqcs3qIb3/BxwAA//cH3wAzsCgvedxLj5PtpshL\npp/201YELhXs5iCeH+XPCde1SJoskomzgoRsLcsJzBJZF7cdleEcw1XJ9C85kbjiYgIHF52PvJNG\n3LaAXWSSR1nrMV8vC6yZvGsyTVB0NGqBtF0xyAzbAoB7/9PHcO437wMAvOkf/a1DDgDp2My0nwFx\nXfIuAOxc3sNPf++/BQCvuelxlZTuwxhdCJPK81OGE/bPGHlrWZ7XbpQT7UCC7ECGyJhoXzgFLVkU\nM5yG9hMZ3jPgCKsq2cwC4EKlfFlQbInbnkbrsZ3j0xq6BtqNAFsisNc4UmMFPQ4ESUCP27jPQD4I\nbvzy7fkhfvnRrwYA/PLJ16A/qnHH6YsAgL932/04Wbn8r09N8Oh//SIAwK3/6om4Hruzg81PXMTk\nhMO5l1cIkyq4E0msKqKsXjvSmUan3mni5Ve1SROH1uTYV5VcorhtVgMYEiVnqV4FePIXtQbs3Y3Q\ntul9Glrws1rpUo5Q6zQJ0dq17gVOPw6OO9JzEY9rnU5yyPN2byykFjst/n2ENNz4uY+8Y1/LTsfy\nvDv80pdj+KXu3b39R9duor/KgPMlRPRDAF5KRP89gNuv1c6sYx3reJbHMcESPQNinXfXsY51HE0c\nk7y7yoDzbQB+GE4M9FYA/+M13aMYDnw+5Q7hI5OIkQzKfg9cN8lvnCgnQMh1dBlgoXrUtGmWonWc\nJUVvcxlydi+rSbG0r1yLM/xNkp2AVOUSLSa+fAVsbNa6IgHUjzJRxqRz0JnJ2fEYCK3l7Z14PApp\nplxs1yAGek8meQ/p09vc6irrZBjGzyj7Fy2qGdTe7QAAIABJREFUe+7DrNrEE3/v5bjwFe7YXvI9\nTlD2Fv+338BZ/H8vuRMA8Oj/WuFjX/Uf3OkghU9uu2/ZPqO8pCM5SI8VbOmOq3+BUHoXo2bDSToB\ngKkUwAXImwDbSkFteu/hvcY5YwCuanjVizb3e242HAgEWqVqSUeEN5GGrCcQJKhGJiAcqsk2tf1g\nc4WF3BgglweJpQFWbvlwPTWhW9V2B25ySZHxJBErqnS/WSn9UjdO1Dp6rncquPNajPOYnweJY5L4\nngFxnfIu5hNyOLn8xK9evZqq+KFlKaVfZgUp0GSSqpeiu0C9KkI+MjOF8Xgqx9Gm02MjtjBzjBfy\nBQ5QcVrkuqVS7mWtklJGQVHgvR3pyD43vfS6tZqgFKM9HWSeyP0HoLqiYPp+XURxvbQxgn0iSSRe\neX7at9FnyqgQ8pz3Po72M5+FeskLAQDvPvtNePgbXX7ceOVFXPkCl8uf+s47cfaez7n9fPQxgBnG\nX4reRcLkFr/diQKXgQQFcEAVFIS2r9EO3fuo1AJ+xkCxLe6hAGsbj6FObMZcWJw+FSFQNBrm6hqB\n0LM3dtJI4f2sCCRhdEGqSnSaUDeuCh5yrqxQ2iT1xnWdVAjqJvM/p6KInUmWsA9grtEHsLDZef3i\nmOTdVVjqV+HkOUBEXwZgDjXwGoRnmmWl7HDROwO3GJbnMsNca9u/lIkALtJLd478BlFyc4BsuYd1\neMGx2KLvhlI5BrPXS98TTh7RBQeOHUoqH2jE4xb6nKR1whjOY2wCuWbd3jjuv5q0gGFw6Qfrpo16\nnSQs61TdQHktuKqZf+dOThOqi8vlc3Y+vYUff8FLAQA/euYTuL3vNdVGLXingvKSIE5+I+wDohMH\nLKJ2KECwRUrq5U4L5TE61OYakrGNM+wDzKBNpynCVQntnSswqcF+oB9cReLyZZElpxC8t5fjdxe9\nzMK1F6AarutsILkSs1G4o0SMU2TdN8niVNqpxX6X/7fNISHZ5E4OMudZ0R0kjkniO+5xXfPukuDJ\nZP5gcu5C8l7zbnAhjxkhs8SccqVkuBubPxfMCcay6uDxINowC5bRt9/mfqgb2H4v4QqJQP5GJ8tR\nwq0d6ug6pBuFYiww3RPx/mHEFqgWjyQP+1AnNmHD5Fgj6l3e8R8fj+crOAyRx6Xr8QC9pzxu32hw\nz+3b+a9uoes7AACn/2SIKy8/Ha02TQVQG2w4Ca2npus6sebLHYPe+T3ozcASF/taiPcXJ7Y4GwtM\nahhvl6yqMkLUdNtmOM0M66lVfo+Id2hso8sJfcBZhnumI+smpZRiHu3ClIxJMlqWkzXwDNvgYx/H\nJO+uwlJ/N4B3AvgmAN8A4M8B/JNrvF/rWMc6nm0hXqTrWBzrvLuOdazjSOIY5d1VWur3MfM5IvoZ\nAK8D8D8cxYaJ6OsBfDucHycz8491vgAqCjf78TMQ1etl4GzEiQlHEG8UjJWsc+kWFGYnZWI4AsgJ\nIkRg6ytESkXwc9CI41Dl8yBj96EVAsMqB5dLp57xZDbDbZ4Dko+ZWnELQg2Hcd0SOiAFdXFlG7AG\n+sVOhJ1ag/p2R/LRhUK95cqIRaXQu+DZ8GZ+9W37RQ3Ki/NvKfMpp8P5wn/+V3ifZyL/6JlP4P4L\nbpZ98tQOrlwqUXuOXO8iRcL3qQdr6D13jq48vx99g20JtKVr+7uDBfRfO1dA8+QF6BMeqkAKfJMT\nsuegG1cmYpkpXbVTTSpg6JmWWycj05+tdTPoUJXpVckruCjibJyNBYdrpVRW/ZRtmCnG+5xY9L25\nosBzqt1UFK7FLu6loDnq9rdT1QTcfS182w8bdIjVEJEC8FsA7gVQwblbfCeAAYB3APgMgBcDeDsz\nP37Yfb3OcX3y7qohOwcBotHVJF52z/i/Z7mtyyoX22DLkdjGTQvYGTlxUQv8iIOveNhW2zo9R/8u\nqM7vpHyEoeu0ANi9pYQyLk+Mt5SDBSnfjWkIg8fd36orjPqkexaLbUDtJS1IAFDe573ZtKiuuGVC\nbpXRPupJmo8+hlvv8x++E3j4R17nln/5BHs3u+f/ydffjPFpwu7tbn9GjyhUF7xr3FME63Mla6Dx\nYvV7pwvYYoTeU37/FFA95AhNXJWp7W1MJK3y3h6s0E2WSi3Gv4/cCSFoXzG2u7tQ481Uiez1gKA+\nIohkXNcZDO3QwbnAO/vqNBXlYna9DD8OUVXpdG1XWU5Wco8oluXd3T//S+z+xfFgqd9ORN8B4KPM\n3BLR4LAbJaIhgP8DwMuZeUJEv0FEf5uZfzt9KX43tRsFnhJA3tru2otFppjKSvOSmbzIwYg6bMuw\nrtxVxs6/gcJAViVmMQAn+xExfjZZLx4x7oNNku1Qg35qKUhB+NtvBm3vJWxMmVpbrCiKwKvWQu+4\nwZLaHmNeQ4H6Bic/ucotBTx5cTP+/MiTbpD7otuewPbkFMzQuwi1Gibs9nYDtee2rOteFJ63pbNj\nM0/4AV9B6Hm8qT6xkY63bUGtP+9jj900CSeFgD+SbeWmze4Xd+/5300uZhx/7FVZa4e1TszyRSfk\nKJPMnJfuTNcsKfslMUphNmdTa/5I4vCH92Fm/nEAIKL3wA2e3gDgg8z8a0T0FgA/BeA7Dr2l6xvX\nJ+8eIFayTj1kRGm7SV4YcB+K7ZNC1x4z4LBpcyNNEo3JRNzn5XEqK69OAqAq48AJzAkGZW0m+wMg\nMrmd7a7LZ4MLbcw5eqJhS4rPg2pSvpVuZ7phUMhXkxrt58U8SgH9RDRfOUovkXfy1FVc9udm9zag\n2EXEaqoGkZ2uWqcMAgDUIk72AaAZKagmubSVfTGBDe1sCevROm99i3CTiWDpm0T/nc2qFfajBG7D\nmEDt33zlsHEAeBFLe8/lX973+pevc/Gfh1/ycgy/xLPU//jea8ZSX8U37A/gkvq/JKJvQYbUOHDc\nCeBzzBxKPh8C8OYjWO861rGOZ2kwsxWDzQLAcwF8Ei53fNh/7dmSS9Z5dx3rWMezKlYpR70fwG8z\n8xUiusrMdx3Bds8CuCp+v+I/S194zim8+9P/CgCwc3kXO5d3AaXwvn/3+3jfL/2BY4wLlmDIxirY\nmIXWL1vYSWAj63w2JBnshDgDydi/kmXcaWFmExaab3OZTS4yX+wVy/IHaBPxZJIz6fyMW585kyrD\nuxPQXoIs8OYI7cjdEvWtFT7/Ove9jYcG2HjUAcNPfPzS9MZ82+C//NL7cM+HXr/S/r3glsS2DPX+\nV556FH+FO6BO+8rD5weot9xJLs5vxxmzajega1/hrBw8JUBUmqHwET9zGvDMdBjrKriAq070qkSW\naoROnKioc93E2bjd3c00Bx2IPHmpR1/ozj3GjdDHLKvlGp/dqk2XWTvLg71ryda2qeoktzNjm/Ie\nIV/t+Obv/Fq86R+8EYATHR5tjcJ275i906tHpunn48offxhXP3xu1tfPzFwH0d8B8AMA7mLm+4hI\n5pMrAE4RUcHMz0B0f4zrkncB4OwdZ/Drj/8bAMDOpR2XewHc/a4P4r3v+uB0PupWbg5j/dsNIdQO\nyToGZuZE0hoqwGiKwj2XkfncRCgV9ytg5IrGxcYoQWcmNWBMhB5xU8PMga7oU64zw23riIZB6Pxy\nUrMoFEATX50tlCO/ACj2CJNKA43vIBiXy9wvgPbF0+GTBuaTD87cPm81GD65WkdJRoAs8aRCGTin\nt1hHEtp076fBeYpaoKc+NUE7cse2d7pA4/3biwmDlesyAUDbT7mXCwU85QtldZNsTZsWajSKBMVZ\ngv2Af2d6qEXQq5a6x7OC5nx+ZCE0XFfqSBGlnGv1VPVdGhdQv4dv/odfgzf9N28ErE1594hiVt69\nHrHK3fp/AfhlAP8vgDcS0ReHKsMh4gkAm+L3E/6z9IWHzuOfftUPZe4+ajBITFxjnJA14MrtAfqh\n86ItC7zIVDDn7Zd5bcNVfKRXHRDuwx81CrdXVXrIjMmwmdL3e1HoICEy7EehXB46LAwXHgc06sXk\nMTmhwNqd62YIbN/mvjN8rD9dFvcvnG3TS4z+JfF1N38q/jwaukTz3OoiVJvI08oA5P186eoO2L8g\nyDpvdQCYlE5FIJK+CeDzXhi510vtG61SSx0AeAKqRVsmzDuaFhw8kbPBmk8288T+hQNKJtrONo2G\nvY+wOzhxr3WhImwXwj3CujLv9FluRXOXnZMs/b697xd/B3f/7+9Nq+73gbLEPZf/z4dW28CcEIgE\nGSfuvBMn7rxz6vO//oF/dn762wAz3wPgHiL690T0PUj55BJcLrn4DB9sAtcp7wIp9wKYfa9075up\n30MrNXe7OUhEowTfYg3P39RgNuynSkUEKkv8/+y9ebBt6VUf9lvf3vsM975733s9qVtTS2gASYCE\nAKsVnLJEiG0kqHKcSipVhCoDkTvgBGQXVCU2SVyAHVyxKzKCGBmoylDlGEOcMKgFAYTlgPVaswTd\nAgmBRGvq8Q33nnvO2Xt/38of37DWt88+wx1ev9t6Z1V19X3n7LP3t6f1rW+t3/r9eDwU3DmzZ+kI\nfyeoS9uK+lZMOkTfOx7nFHvaMrYS5KpiegEbexDmLdp9v0h0FaHeM2lsXb8ZqYeGT63w6wflWgWZ\nPpvdF6BJzmB0I7CPXDMgS2im/sCmRcqpm9rClGGBX3rYEgDM970W/P7nwjVzDLoWrtVYuvZhKJtD\naWcHFHCgfDiRUnlRpA78JDYAiG+LCQNTADpQDb9xm8zTq8xIPOH/vyqYVImqZXP6hjEBtw2oMXjP\nz/023vO/vg9uElYBzgKmwM984B/i0t37G+2r/wA4CyjTmdgmAefDzPyvAYCZ/zURveoMjvt+APcT\n0TCUd74FwP/St+EymUEAvcDdlU0W61bbegWzqZEKJqIDUk0WFDKfWaDiFoNcGgyyRg0t1xZX98my\nJqh+h2T29mAu+aWsu3gBbaCuaHdL2HGQL9s1IMu48JhfTs/uGWJ6h/9ufifhwov9Kv/w4hjTNir+\n7ODej++JE1b2sadfiKuv8+O8+vPfhLt+v8Ldv+oViXg6g/tazwvXXBriS7WXYXvn1fsxKP1vrttx\n5nhHTzPKSVg9P/4kiru9CsbgRgvThhX3XQbFHAnTaQcE3Hu3P+Z4AHPdZzi5LIBpVIgKFCtJxWQk\nk8/BoeBYZ/MU1HnJMsoCw/Q8LeEt5M52VJbKUYnaRbbPNQuH5MTYwilJt2NlwJds23dPgQ6n62nt\ndE1DrwbwUmZ+d/jozwB8FYB3w5eLH4P3Je/u38Nzym6d3yVK2fjk0wYDeS/m815fanZ2QOMR7DNe\n4UYviP0HMRD1qlaJmqbLexzNca70Agie0hiY6HurMqcwi1WIugYmRwkTyU0rWNCmTcGs2R2n95Jn\n86y5g/U7wYxiP0z8hsD3+eQwzWuQrqDUTfqbGpsCpeLxa6DGx/vVk0C9dwlmFucP3wQEANQalOHV\nbvYqCEtpbmQJJgSs5mu/Bu4P/2jJlgB989f5P1qH4tCf92yyh/t/5wsAgLsv7uKZ117Chcf8d4Mb\nLSjgt6s//TLKy/68y6Md2LE/Hzs0sCOTB8uRO7MqhV+1KNK9oqoCRkO5PtNZqihyXaO4sJv+honJ\nlBZsLUzkwpvN+3lisxPerCpIw6EsGCK+t1MtSn/ruEAFpWZnRxpDp1PVSKwa6wrfS+KC5GlUNYrb\nJdUqY4Vn21nfjLaEsvFY9hwKOO9c8+9jGzMfEdH3A/gpInoSwCdOC1zf2ta2dv7tNF3q8PKO30dE\n3wCgAvAqAD8IoAbwj4jolfCd6z98ymGeB9v63a1tbWtnYqf0u2dmmwScnyKiT8BTjrwUwDvP4sDM\n/FsAfuss9nVLLZZvVCkH0GUWE7KfatWEiOkrJctWFKku3GmyVKpFAMYjUFx17V0Ah5U9t222GiOi\nRB0BAymPWE60TtXEwZWUOifJimZ5OwIuDny6uLjEmEz9avPaqw3Gb30N9v6lwtyFldxjnxXI3Wtf\n8Rg+MX8JqqNXAgCmdxvUITlw9KIW0yfuBwAM721xaeyX8081F2BHnPTPXSmlc7CTDlNd3TORIN5b\nMedUOne65Ewkq28iTy6tu/PjZrrbtO6kyzsMCRSzLURKW5dXZykVBhQJBtKjcb6BaRGEY2Xlb6Wd\nwvEx82fgG2n67G0n3/O5tFvrdw0BrQMHfIv2QRri4+mJlIpap+ysaePEV7qN4R/SmWwC9CT8Lip/\nAbkyl984bKM6owHAupQhZepkaRUkZpVFbKfZ3RW2ESKfRdUa2ioz68aBLcQYtJeFbIAcUEwj2waS\n0hCXSuSixy2U9wb9NgYe/2Z/bndVF3HhD5eP+/P/QYBUtcD4Sf/Z4DrQflZQMqMX/QW4QfS9lMQ0\nuGm8HjoAM22TihJfHoImNikNJV8dr0E0a4UU3zqgadLzZFUvxkLPgZpbqSgkAwlkFZdEy9VlS1B9\nGRtVgCJcLz5zpCpa2j93oRVOnueNoFALf7s0Tjeb51AtcwbZTWCt35088giOHj0ftEi/CF+K+RoA\nf8DMf3yzBnNLbB34V6v9lDHgUQ+Eoj9KOD+dSncuccf5feSXPCkw1LWk0jvlAnvjhpTe53PBF42G\nkoofj4HZXIIdQ+Cnr4bvhjC1fxGavQrt2I+5HRNcQXAv9WWMepfQ7IXmojnw+GfvCPsCaCe8hI3B\nE98E7H326/13Vz6RxvnKBz+Y/p4CeAVE/eLyvc9D8xLvKK+9cgdfLvy+/9UXLmPnsg84//SLd6E8\nIpRP+Elh77EW1WE47mAAHvsSzfDxQxSXvOMe7xtUU0YRShWDZ2q0f/Y5fw533SWwhIv74FGnOBWd\nSN0InKIWaUvbKad1zezupu/MvsLYqNIh2lYcqpJGJTXhamk/hEYg7biWcculCfOsaUFuJpfhOVlp\nPwfs1vldY0Bl6UuF8TlUi2MURuIgPYHO50DdoLgY3gVNPcd5MEI7O6IUdHAgflCV12msgrOd8QI1\nFytOYBrIO2CvXu0/L6Lkw738awgSYhkdWImxp+EQxWXP5YvRUDiUifwiN/r/woBj80xVpEYhMANh\ncd9crNDsEEwbfEPBKQvVjjkFn1e/usLdR68HAAyeOIR99FN4/Ds8bzLfOcdrvvExAMCb/9qn8Lv/\ntV/cf+LzLwB/eZQ4Ol3FqC8H3OakwAv/jf979P9+PHsdL/zhl8FhUX70sjswfiYEgNaCZt6PGgBu\n398XO4z792OtDpRkpFF49apMKm+oSmCWK1Wl7YZDCfyVxCRMCbBL2EaqSvG9kEC12zREg0rGo/yp\nGY966RUjzIlvhOAYCtJhDFg1w2l5Vx0UFsqXc93IwiwEkjEWICIlrVykZ52ck8CbTFjQnQFn4hq/\nu/vq12D31Z4W6eDhK7eUFulTAMDMv/wVF2xubWtbe9aM+Hj/3ea29btb29rWTm3nye9ukuH8v5g5\nJeuJ6PXM/JGbOKZn19ZkcvSqKRKpS7OIbgTq3w9Hzd+4SumUTims81lvs2Kcmu6I6ibPaHZpm2K3\ndGthArVJNRA9X9OW/sBhSO2wSKUcVwG0G1fwgCnC+TW+DPTYt3nqkZd8+g7Yp59ZPu6QAXFXr6EM\n53fJPB925Fd003sIR5EapPFlnFgityPC6ImYeRACZUznwL7PgpZzP66YtS3GJUYvfqFcg+vhmhSF\nqFMQgasCpg7nx610iwKSMezLagbaLQBSUgdAQZ0Irc01ydkl8nS/oWqOiCvjslTHipiGHlqkm2E9\nilyeIP6UHZ/L7JxIrD0H7Jb6XSoK0M44a1ZMlRtNSdfVqGZOndPM3Gl2VJk+17PfrlkrPrEu/btZ\nbjJlLTGlHJPR3VmbV626Ft9Bx9IMOq9BHEnkXSgBh+3KIqVyuDJwg5AZG1YwbYQEAIMDBwrKFmQB\nO4oZUnn97Ri4/tLQ8Pm1I1z46suYX/bHeenzn8Ib7/hTAMB/vv9JzFiuzeB+i2+55NWHPj29B1Wo\njz/0aw9g+G5fiepedS4L8CjMcQWl0jkcp+Yp98QMxR2eDmqndZjfvYN6T0Q37F376VrLdXNKJWgA\n7IyFhqqp1zdKAhnbDNcKGjHrb2CLljKKZSnP33Ao2eijo+RywZw/z12YU4RD2Q7SoVH+ngaqGbQj\nEgMIwwyrbLADTMykDirJcCoYyqntnPjdTd7eIRH9JIBPwj+j3wngP7mpo7qZtkTyElAYEO0MVSBJ\n1vpyU1LtyUuPrKS8dMpdl9Qzh5l1sS1yiGmeLhMogdi6FPiCSIKj4dBTTMRgR1PwqJefWpc6Boup\nhWk5YXCqI4fy8/67wfUWk8cChccAmN0RukRboJghqWI88de+Gpf/2JfEze99bOEc4rV0M4vJW18L\nALhxf4HZPbG01KKYhG7IA4MLjzF2nmzDv1uYo1B2eMVL4AYBq0OE+V1+bEUIOF2k7agIR6+611+S\nx49gQiDITSuYzPEAKAhuFJ2RAUcca2FAgbe1gNzTWNbW3ZERt+nxt8ExtK3gt9rWl/2cSK8lh6Y6\ncDlzTKq0D/h7H7llmeUZQ+f57T4/mvEgbj8YAM6tZWsgQ0AxWLnNSe0kNC63qd06v2s83jkp6USL\nOLPpLD27NFAT7KDy3drx2e1M4AkyxBxKjH0LumHyVRkmnQOrhGbomCneRrXI077XDIcSJA7lmaZK\nyq3u4DAFRH3dz0mpaDAQ+AtRwjXyXBb9AIBS1MWIkYLM5o4RXBWkLe8swEQoA/FKMSPYeQxUALsj\n1+b6V4fd14xrX+fwgvs9CPMHXvxv8B9fiFLFO/iRO4K85R2fwe/PHP73pzwn8keeeBGe+bSHML34\n/XXCgGrVouKVL4PbHeHo/ijxy+CgvkZ33SHbNS3cZZ9saPeGqC+WnhkEkUpvJ5wPZ931xdXQa1AY\n4MYh3DM9fM6AcLgWhTxjo6H3r9GvFkW6DzRuQCHg4+ksgx8tDWYVVEo/K4lfM2JHmcAkiyQNFUmM\nOWQyNofsmVWQkETnFWMBBTfx/lZklrMxdfsITmjnxe9uEnB+I4D/B8BLwr8v37TRKNu9uIO3v+tB\nAMCVX/sQrvz6h5+Nw25ta1tT9sBbvwEPvPX18Z+nB5OvA69/8hFM/uiRszvec9duid8FgN39MX7w\nH38XwIyHf/MTePg3P7H+R1vb2tbOzN7w7a/DA9/+ukQCf2o7JxClTQLO72fmK4Av68DrFt90m1w/\nwjsefFf2GZVlv26vSk/LxoofM66sNRA5/Exv11tWUdu7mc0bKogki7igs94Zj+6YjH/b1ZmmXLEm\nNiyxamFU/F11s0BQr7lAU4azcTCzWKYewrQObeDlJEbSLncDkzRzTY3EC0ctMH7GYefLfuV4+IIB\nrr/Mr+Qu/97K08G1l/udH73AgoKaEDmCqwPfWmwurSKQnqQ0VRSgo3k6n+EzofPzqIHdHySuPTO3\nCaSvFYSoEXJnsv554aj7a52QwndB2isgF7H0wYB0rDqWck8bVIb0PiIovm37OWN7lIaoGKbzhm5A\n0+V23c3oXLqW3PBCJl+XaXRpMcvEB7vyno/hyns+BjjGW77vW08HJt8AI3Tha16DC1/jwes3Pnjz\nwOvPAbslfhcAJgcz/NSP/J++CSg+O9Ug+TczHkkZfEnZEUDmH5lZMp9d62Quod6l9HlsKFGNQms7\neHXTEpCzTuhK05r9pCyTtR5mEH+TKhwdsZFSsrpMvqoEAOQYRdCCL2cGAKM9lN8e7UQqEaC5KKX3\nWL8tnQE1Bo9/wmcoP3rv/XhZ9SEAwOuGeUPkt4wMvvb57wUAfNfRX8fkGc8gcvDCCtUNXwEyL7oH\nNPXnNn3BBXBBqHf9eEaNmie1aEZZgIfe99qdEu2I4OIU6EhpyDvJVJcGLlaahgWMMcC18Gp3GxQj\n/yk7UCUZQhjKG251w1j8vCoX/eca62P3WPCXyH0tMy9UifpCB7JKwQ4haxvHaq3AO1yerXeTCd7/\ny7+PK7/yQcAQfvr3fmyjc1lqG/jdw2dpob9JwPkJIvovADwIv8p++mYNJjOirKQMwD908V22Vr43\nRkqNoVu8j56ADC3IUWpqGR0M9JopFoLKZdumtHgkdQ1BDM37y0DZxB8xJvHB1+dCBLqgJK9C5zac\nA9FlmOgYnBPM40RKY8VkKo5yNgbNa4wDGbEbFKmbneoWu/9OhF7ci+/z/x/7l7p83DuMi0cXcPQC\nvwJ74m/9ezCBcmnnSYdqYlOp+/C+ElWoZJQTg/IJpRoULsneYw7jJ2uUB0Haclyhvei3K45qoTUq\nhBHA7VRoxyXKSehmdwyjqY1YBfrxc2v95HeklJwiDkc7iNEIFLohzf6ev4/6/sX7YoyUx63LOm5Z\n01xs2vndUXXpJTk2hUhmdsix6cKuYFIV+wGq0j9LjVL2UOdj9KSlFZG6tDOnsXOy0n4O2K3xuwC0\nhGsyHXwOKqFm0xgz68vey+iGko9epbamkgpkKOGf+XDifWl6do2ULNlJuRUAqdInjURtjFvBavJs\nJji+6XQlVi4FBg1AB4fyxUAwnDQaynurYS9ukD63AyMTP3vft/+5AB+6UWPvMb8ALo8snvo6H6C5\nCjh6vroXDomu6P/+zNfjPQOvB/DGez+HaSBG/+Nr9+CpG7uwn70Q9kcYhMr76JrD5IVh3yUlGrz5\nRcLggFFNw7W3SAt3d2EseHcALijTlYcNBjsG5WwxQAMAGyFLlgV+dFTnqkODQT+lG6uy9VGANWiK\nIu3jYzm7bhILwSa40F5jlqQWO4CjUABg4uJpRZlbJ8W4aXPpTq0gtwQznMUETQ2zt5fNSSe24yz0\nP3TzFvpLA85ArvwgPO/dbwL4GDO/jYi++mYNZmEMw2GuTe1cRoWRVtkZ6NtzGkbZS24bcARqk0F3\nxaExRr3ZU23H0T6Pq2YXNGCj480eKK0LrADCgdMtabpb1YjCDu1jn/eHqQYonne3HFOtrD3/Z+wG\nUoDreS3nsb8LrkrYwBNHzAngbpjBNw6tCujIAAAgAElEQVTDOGuUe955FU9azF/+PLT3RHA4MLzm\nx3Z0t0F1FDGVwNHdJer94AwMpWB0/zNAOfP3pL5ASc83ZTiH/rF0lUnZTnIVeGcQ/uaUpXWDEsXM\nwoQVORsSQLcB0Kh7qnn7gCRzx44lkOzSvyS8bgkqWN5b5STdwQG0fnQ6znEDzeNs62xS2upmSqlt\nM0xwlunuHEOvuJcf6wyjxG3AudLOg9/19D1+4cSH/uXktk2qQaQySf5v5besPGfctimT2BtU6OdR\nY+v1QipwLxKRNGAiLPZixrQj8Zqe84LAwwpUxgoOCxVSXadAlAaD3BevMqUOlvgfC84rGUpmlloH\nhPmnnLSJ87iYWk8318h8FjkwrTVoghx8UQNuGN5fRygPTVJfO7o6Rr3jr88bX/kneFnlVUqv7L0M\njxy+AL/z5a+Ng4YJ+NCnv67AILBGkQNGz0gmlSwnPGYx9VUu/10JDthTNyjQXghBnfFBdDJmmFa9\n4CnDSUk+mWoHatp8blt5wcOurQWCspqbC/7XjEZy/7OKT0gOHZfejUjwmF2X2EOxFDGf6ZkdVFLt\nQsc3d6W0laXgeqEyekbgy3Pid1fVEv4tgF0Ar2bm7wbweQDYUnRsbWtbO6mdF3qOc2xbv7u1rW3t\nTO28+N1VJfXnA/guAP8NEf1/2Iyz82zNWri2lTKKIens0ljIDn2A1sld0CGP3beh7B5L9FmXuCXJ\nqp6EBJtkhYsuNYjKfpLaN1uba7o2TSrzdlWE5DxruOuhVmItzP6efKe319fKkCfSBUAHflVVHARs\npLVoL/nyOBuTlQO0IsWQOZWTbrzu3rSqdRWhDitz2iWQA4bXYzkJGF214W9CGUo35Yxw4XOB0Hfe\nwBzOkvJPqcj03c4QiKvkeZNwUX7cDhTLGFUh3xEtz9wpihPMZr6sBkBr2MMUiny4gNndkdJ7F5sZ\ns40OwhwQVr+py1xjchXNx4KpbE+2StfPot5GHR/w2aSIpaKyEnxQRyudqkGWsdF61AnHFBgSNMZo\nazfVzoffPTjwClZZtqbO/g+EEqL2NRq36XilApa5cCE7ZjKd1Yl/j4b+HY8Z+flcfmOkvE7Dgafe\nAXype6ZKuEN53mkwyHCcVPpzsD2l2JTJVNASVtlScGB+iFAAp95ZlX01dZVlNM28gfvM5/xviDBW\n0Jn7P/tyv+thiS9+a+gSZ2B+pxDEDx6vUBz5c/2xP/tPYWpK28EA43AqrhKqOTYe7gQAtiJc+KK6\nly2np23w58+kLnw0jdzjl78g4VDr/RLtkDC8EeZk55lF/LlZFAEfitb5HgN/4fy24R7xYb+oRdd4\nPu9N0jnNTlCVCYdudse+pB3hFHW90TyuWQ3QoYdz0QfqSiczPNBWldtjZUsrb6079pLv3WRydlnO\nUxgR3QvgJwC8lpm/OXz29wG8SW32D4KS2VJbGnAy8wGAnw07/gsALhDRfwfgpcz8vaca/XFMNfqw\nQyrrZCBz1/HJznqeKwTHEmkOCpPTdFjTDxinvExwIksPracJ0VCAZCqgAuCxifDOx7VtL03TgikO\nMGYp86Bt5byJwC5iXOWWc9OAjJESQNMKTxzkWnebrdovfDH9vXvXfqL6oBcWiUqj2Qkl8rg7AqrD\nAJgnYPiUD/DsuIK5GnBREWMYm1eI0jVBQWnfGFawu7qMRqC66wSQwQp4WEo5LgDQs9JH5NdsW/DU\npOvJ84iJtZ7zLSoXVYOEnSwuXZT7qzjn2Ipkmf+RkQkPHQiHvsfL7jcZJIlSRR8DwAcJGuu5KX9b\nklaVpjd2rHB0LsOlntpu38zlRnZe/C637YKCVfIHreYd7DxnS3DtVJYpeDWKLgbA4qJQSxjGyTbC\niqKEIPOC8hAAH0QmOBP78cRAoa4V7Y6RcTZtXiZVC02qBjAXw0K+bpJvoqYFYnCqF/SAP35MjKhS\nfXEopWC7NwJzieL596YxuM9/IVwsSr+jeY3qwBMUlDOGGxqYyJjmKNErNpcc2IR3to0NlBHOBAyu\nR6ofYPdLASM/LFBe89fG7VQwtYXdUfNDaKqktk2ywtRYlAEWwOSTCuVRSCQMjXB3GlkcE7NIBteN\np4GLCaHR0DcRIQR0m8DWTKHK3raXUjDee4FXFPlzaQT2FJ9HtnZ5/wYRluEu/TPfg+sMYzgXdvph\n/EUAvwLgddlumd90nJ1sxKLLzB8A8AEi2gfwz45zgK1tbWtbA4DYKLG1zWzrd7e2ta2d2s7A7zLz\nLxPRm7qfE9HfAzCHT/G+k5mPVu3nWLINzHyDiL7nOL85takVNFUDIT3X1tXpLYosDc0cOyWFKJ2K\nwmegdBNS3yplnYWVkhkNRTd1Ok0rZq5r3zmnskdyamW+so7EynWzcYNSRkTetjCxg70sZR9lISs6\na9NqladTcDWQTNn1Q5jroVHo4ABuEwWID/5ByhzeM38NzMxf3/ruXVDrMPjMl/12l/dhH/2UH2dZ\nJkJdww4cu6ONAd15Oa3uuRwmsLm5MU06vyhNqjNSY8EFeQokAEVjEn0SjAEeD532ujxYlXB1I80N\neiU8HAoLwLxOn7v53D8fivaDOTY0qXtalUlHmSr4clRsVGhFs/1EUA1dNo+d9sBC81vGvsBu+bPE\nLoH3aVABdbiqnawBT6c5Jclp7Jws+J9Ldkv8bt84oj9Q5Nhgl5ectcKM/psMKEJidsa+KSk2gdSN\nKMIURQbfSOwPiL5UEWeHh8kMBDrDEzXfGQKMymxZK+9JWaZGjYWyv37Pmhr2KSEIiCTw3LRCI0ax\nehSuifbJgDQ+TSXDWbgAtQqNi1m1ghn2sS+m87/0GU9p5BuOhil4sENCUYdGzM8RYrrTDn3msx3H\nph1g9HSYWypCMfHznJlbX/4HUExquI89mkRB2iW+qRzKfFFfvMuX4aNLs+yzuPCQLHMwDX+TzLNF\nkSvzAInRpRhU6f64G4cyZ3azjs7mZDHx+7YVKJEW40CARcT5uWklW0mq6lnXC/AQOcgJSuJsBU5l\nXd45fxL/fxrrOdS1D78f1z7y/r6t79pwr78E4LPMPCGiHwDwTgDft+oHx55FmPmEfAPHs92LO/ih\nd3ofe+U3Po6H3/Ox/CZlmEtdDjGpoxGA7xIPXzGz4s3sKcd0Atf0mX6I0Q0adWlfY48ivpSXUzRY\n1TFvtBM/RuAbA0ln/e81lZQVOhCOTtBaQJej2zbRePBkknCgto+KZ50FyUgAaC6UGD01Q/slH3Ca\niDXFogMpXnCffDdWSiNVIQ7EOQlETQm0nfsX4VQFwUSclYF0aFsrE4zz3JQx6KWqlOMoKhY/cCXH\np0yXHG1dS9dlJ/DLStGqJE5VKcHsMRYY6fhNm8a0UP5c9cx1ziHeC1PspQBWP98PvOUbPAGxvw6n\n4mcj4HZuBjqVPVt+FwB2L+3ib//c94Ody0U3Yjla87X2UChFahoaVBlePb0LUYErbm8o5znUCiyQ\n94/KUsrtVmialpbXA+ZS83/GAIuhsJkrcKb6vOGEii91Fcfz7JqTdzNK4HJVppK82xnATOYSBHXL\nvercykM/fnNjin17ITGJ1BdL2KG/PvM9SupvdkgghvAoz5F4iskJCwgMQJGTWWG2/YH7/ZHmGC3m\nzispRTgTKd9nICV1J38nukPNZBCfH8eIqmy95etlMrzRnBU/HPcXtx+oZFXdZPFBmreLYhHq1HMd\nqCxl4ROx/GEfGaypi8VXn5nRMKNy7FKGPfAd34gHvvObAODUxO/L/O7l178Rl1//xoXP/+jH/85T\ni1svGjM/ov75XgA/su43Z5S2OHubXJvgHT/wC4F7swejsbWtbe2m25WHPoorv/YhUFniLd/75tPz\ns60JOA8+9QgOP71VGrqVFn3vibkMt7a1rZ3Krvz6h9NC72c+8JOn3+FNWOgT0f/EzDHIfAWAz6z7\nzbkNOGHIr6R1aVx1gNFgINkkRdqOpvHXNq6Ejck4LIXQWkpCADzBaunnN57NVOOHlX2H35qBCoAj\n+Lkss5X0RhkmtZJixzDjOGbPwZn2l3W5593j3fKPu+47kakwKYugu4ypKvPVrLWgwLVnj46ylftx\nrfjy1TTWHedAX3gCcXRdlZFYmgIADtnPdJ/iPX/5S1IZDoMqZU9pWoNKYQEgpWtMdQN+6plwEPLd\ntsBCCSNbQGu9cTUusyt/03DoM4L6nmS66D2Z8/iMpUYhtUIvS/lN3WQgds9ysCbjecyM6Drj6VQR\nyWOBl5BPkvFeOMj6DOf+K16D/Vd4AuLrH72tlYZunfU0SOiSJA2kYc5NZ6kiYIYl2DrJgGp1oYzv\n2DfWsapWpW5ix/JsF5Ktin6JUla/Se+P02V011F3GQwyNpP4+LEu41eDzKeavb3kN3Sz04Jpv6Fh\nLUSgoMaTaWtPpdOa5uSblS4EH/PMdSkt33N3atjh4QD1Rf95FUrWRfArwz+5LtuNhunatJfGcAOD\ndif6JxmysZxYPEzdAs/4V8xdvSrXr2NmNEqZQx6JOEQxbWDmlEQmTG0TtAmWhQC/yPmv/Y7CfawF\npkQ7O8lXRrU2f0KtrxbFjnbVDGq0eIUrcuiPagjmtpV5VEM91HZm74J/Fo9EKCVZI1nRDLIXnvHU\nZKmFC4pC4BQmNKmF6+umU5VIK/LrHsZWXNyHVZXBE9sZ0B0R0V8C8N0A7iOiHwXwTwC0RPRPATwB\n4OsA/MC6/ZzfgJOMUG7oUnVI+XMjD1AXX8bMMEl9xQBFLFFrVQwr3wOJbB0IuCHd7Z22DVihvk7J\nTUlmTZFeJk1qnykNhbJDOi91fjyZrAxmE+Ypo+wR5SUaVIm0nGdzuNkMZhXp93GMKNEl8aBMgaT/\nLu9mzQJbDbva25OxlkY600slJTevwa7z6EanZR1c3A7Kqay6N1qWVDEHZPe3LD2pry6fZVQuKphV\nQgV+aLE8ZuX51VRXXSe/pJx1M62vKznZWShdpAOd3a62dpOMVKC1BMKUAjdFQYeigFELZf2ML9x2\n1Wmcs4LkgW7mx0yRBQ2sffgSWWGez4XZBMgIx5cdU88nXfiPvaF8mk5eqPlDQ5uoKERCt2kzeiCa\nzpNYB7PLFcFI/F70gaZuxR8CPpCLJflKGELsKPwdXZrlJKBhpi5nIgkBZFxQ95mbzVJQSaVJQaUd\nepGMFMwYyn1Fwu+SiJJ0fAkNh3L921YUo0ipt0XoQ4+6FaOR664647umKa20FClbl8/7ShWwa0mJ\nrSoFhsYMGo8FtjedqudJLbK6c2xnftYQvnScs+xyP+VumPl9AN7X+fi/Pe5+zm/AubWtbe0rz7YB\n59a2trWtPbt2Tvzu+Q04A5+bm83TSlgDgt1Upb0zDjSfoXJTKQHq8mAq9ziG2VfEw6WSNNSa0nUt\nGc3Aq5gReK8DnHfMjIZpVYmmlTJVOOe0Xw10tzZfWa8wTYSb+EtVGYSVLFgEOLvJZuS70Yr9fd9p\nCoDvuAh6RiqfkbS9+PyTcLq8MKj6M7Oq1G329jwHaTh3M5nBTEM2dm8HrErQaZ3s2K+M4zlOZ3kZ\nfYlRWUqH9nAoq1xjUv2BZzO4uLIfVACrFTwZKRkZAlQJKHWtG/IZjbgCX6bBq/lA+7IMm5IH95nu\nKD5pGf4Muym3TUPPAXMMN59nfJlOdY7rcieZvPyeZSSLYnnWvNNp3GeZvzCFb+7T/jYea0VFwENX\nQuPSeDdVYGjJu8jzuX8HuxLI8O+m2Q0MFlq+sjA+05syb1aEJMpS4D7WyX4HlS+pj0OGEUjsIfbi\nLopngr8vTCJaR9OCByOBFczmydcUSlvcHAzAVQkehrmlsXBBFtgc1jBPX/O/r2sp+VYliksCmbbX\nrqdMr7l0ERSaSZudCuAqnY+ZtaCJZkoJ50ok3ejdS625sEdDD7EA4K5dl0bK2UzK5uOxz55fvpyu\nt0DmKPOrHMnq2fnSOKnYoSdzyXWDiPviUAnNKqZdmWLAzzl63h5U0kzWNFk3fGRNoMCY0OeD2VoU\ne4HrtSrBUXKZOcvOn8bW+d2DTz+Cgz+5+dj58xtwxhdTOyZNnK2xOaoMSposPP4slnmZs+CT60bS\n66VgG0kTD4+GUmI9Olokmd/AzGgk+A8V2GbBhX4ZjMnIg90xglpNiCvXUMo1bJUzPKlVpddkByTo\nAsDDKscxDQbpRaILO6Aj76zt408kuoisq8+5TCdXXwM4BgU+EG5UwMkMns3k/DTlxopAqavElMre\neuEBqGAwPBM9EIw4vmhZyUaVmbJOWsVKwLpc2RtwxjJT53PtvKJ2MJCf96YE8M+WbQPO545pbHxn\nokxUX5pCS+Pd19lxKGfC8ZMIwzpL5O5F1imfwUackw76ovOOdFTA8g7y8JsQMPp/dARE1CJa48sx\nnSW/Sc6Bj2ZJFYnLAkQ++ORK9pf5hrKAG8mUXQ0GMk4icJrLCqAgwWreOBKquKKQoKwsRZXpaJrN\no/4cB+n8Yne6qa3oottQ8k1E+w69JXV9LZlzJSZAqAqJcoEU6t8vWwciNe/oubPPByLc41iiV2Xz\njGVGjTGOR5TYjCx2wtyWbDoTFoDRMFFAZYmusgQZIws3dr5vJFp8bxTdXVfp61S25hXbe/lrsPdy\nj52/9vGbh50/vwGnxuj0GClFCSJazAz1rFD1Q0hEcIeH+TaRJmc0FPxI0yJTrjjJqaixuelMKC80\nH1if090ks9VHvdD9jbXy3Vk0m1y+KFKSZSF4pakExjydeqxLPPfZXNQqlqzaaGcHbjJBcWeQcrt2\nA+0TTwIAit2xYHZ3d8DBUdJRWA2Ge+kmGwbTppAXXi02+GiaVuZZMBwwp2lsTCkTnjlKQ7L6ds5L\nuMVgdjqTwHY2S/ek26ADIDUQZM1JUM+yc2C7AiOUvlCyr3EiND2r9q6DXoFjO7ExtsTvzwUzBmbo\nfWCC5+3sZFQwHN8zpSzEgSIpZkbJueXz3BlkzUlVotLYdDOSzWlyeDpN32WZ0nVVAE2LFBbKVBbS\n9KmbE8O40uJyby9RMaEshY/SOvBsBjMJAefuWKjZGIL7BITyrQy0akk9rRKf65xQPh1MYPT7e3CY\nKjBUlrDXfDxBhQHtPM9vNPSVNw7NToWhdK4gSsG1mTapeTPJCEe/rH1vUeSL/9Sr4BKnKuCzp7FZ\n1HUbE2ODzSzck1CJo+EQZn/ff2ZIKoZOqUpRXiV0R0eyCBgO87k8LvxD80/ysYNKnhNrs+ctawZT\nWFq6sJuyvGgaySAXBiCTeE5hTF4pVUkgzStKw46i3EnsHPnd8xtwbm1rW/vKs22Gc2tb29rWnl07\nJ3733Aacu/tj/NBP/Q0ASOTD3DYdYlch8V0wpWft2tAGTQZmoOgqlq2ymyZxr2s97LiC38h0CSAj\nincJM9Kl8Fi5ryVj1SWBTZqbYykb6FlRbmg0nUvWV5Uq/E6lq5UGA9muLNLfxb33yL174ilReIrX\nQ2UrhDyYpezQWmBEaRtfYlFQgk3Mqaxv28oxl3QoLpiVshDr+8Mk+3AOoM4rljpRB2kF7+m/wr5i\nhqUnm06kMKRFkbIlVPiOTp3ZES10kuePvLi9PDOqZGOKnO82bPPAX30t3vCWb4ifnhrbs8Vwnn/b\nvTj2ohvG4Mq7P4KHH/oooOlnjo5WaE4rChxjhFz9lFlyqgbIaO2670eiIDPCUOLY+yYF0UndxMc4\ndqGw/rQbcK3MQMymdcfiOKnbUduCbxyG3+74igcAd2kPNB4mzDsAcCBkd4Mi6YtT06YOcRgDLhRz\nh+7+1lWQ6AsDvY+9cSMxkdA9d+WwNM2yorvMq0HKinJhQDPRQk8676X3QSmjx5xBqnotjiNmBI1J\nZX2alhs9Jzyfw4UsrdkdK7GTnvK4EmBJn3UqSmQ6Pt+o5zdeSzLiH7tleJ3RtpLx1VAtOAaMyzPu\nGt7RgT5F4ncyBruXTkf8Dpwfv3tuA87JtQne8V/+8zzQYhasZlVKY5AqncS0d0qna3WhopCSSufB\nztLbDTJFgBQcrQnQSNEZaPocN50JtrL7QvUFkgGPp0H7ad+cP5z6oeXpLFdJiFZVvbCC41gRANsp\nuIxB1Y1DRVehXsSIRYl4KkDy+tam0gere2evXve4q0oWBUUsnajfYG8XPAqlimYEwyxcfMeADHBq\nCCoEx1UUSZoSPffbPv1M+ltziZqLscSjeF+d9ZNSbFpQChsaU5TKQ2H/uhFD88cxxFFrvkK2IVhU\nEwml46igMsBUFsqJXVNYrivv/gje/6sfBJjx1rd9200nfr/xmUdw8Kdb4vdbaZPrU7zjB34BZhyw\n51Xl4UfrfEcsgR7JAn/jBXqwBQnVzkScAgCTl8UTT2RdSwDC7HH3iYqs6T8H5tWrdRXkxoYOOIaN\n3JXdc9D80ZpGTSnSpO9aOW6UFTZXD8F7wbeURcJm2nEF01hwUKijppXfa87JgBPNqOeiD5jO5Bpr\nHGrdAPuFBLdKUch97gvCj7mnGm0v7fvtw/F4XufJh3itS4X5J8oaemlXIEPm0sXUALSuSTY2lNlr\nNQqNq4/wLuNL2DGYXOBd7uNkDomDiBXuNgTbmBjp8CQXly8LfrYRTmWzvyd42ab2iZHI4V2WAsm3\nFjRW8KjC4AO//Qg+8N5PgpsWP/3vfnzltdjItgHn1ra2tdvKGGsd3/5XvQb7X+XB61f/YEv8vrWt\nbW1rp7IN/O6zZec74Aza07rzOpZfeabS3T2lwNTlpxtzjlPW6a7Wj2Os0uphX8zHBP6SQW95l4ys\nmh2DVPZr6a7KUjJm9ngZh2TxGsbTUp3XrLMSqqQO1eXHbSvlhEGVGnMyNR8KDTeaMDhmrCtZEfKg\n8koWgF+pVpWULlbAD7RRWSp1KtGy1VQha0018GBVBjl2LZJDwmrUjWQDdEkf6M9SA+F9CFnRgQFz\nKFc2rc8UB6Jhhnr2VOYjlTcVVUjKdhiTNcodl+5rE6Pw39bOuzG4qWHbBsUdvrJhhsN+nei+ikKE\nwQyUX7B287J6LLeSagghk2c0dUOSKXrff67rnOKIDKhYUmnSRpT04GFI1MfaVhph1vmYWBI3qqTf\nR/6dEdurTF3SnbepQZOYfWd4gshISV1rnIOdz8bq0nGcD+dLREOGw5xRoywlawdkJeN47Yx1vtye\nIAuq+QpIWWNSykAYDLwaXKS8chaYq+riSSpwcW6iUsZpVmTXyfRntDc99oJQhwMimb5joAjPnx5b\nUfhscrwnav5h5qzp7axtE7974zOP4MazUFk6vwGnIZhBlSkBmOFQqILqJmFryLGk4FM5Z4MO7xNY\nt8M6lc41LYYTrAa3bW9pttdiKn5QCQYSWHgIIzZH0zbwvF1aTua2zSl5XJS83PVqIBsEF+5QuDpN\nsRjEpPFEhx7xiXoiiE6+gz+M++a2BepGOhgv7KY3hawTR9taUHip0bSpVOw3lEklo3Upiuw8swmH\nKJXBaTRMHKMmjA9A6uzMronqTE33X/GwUVXCTaYioacn3aIA2eiEhcetvOcu73QTBYdJHYzdxUKG\nudT/LooU0PNsrkrqvpQUj6V/rzstYR0odhoXHiKgeRhPZedkpb21FRaDBma4iD/sUgf1+ZqOz+X5\nfDmWT31udnYy2rbMZ2vKJb2wK4rEicnzeV6C7fp+xdfZF4Nk9DRxFwoHynFOsbbXD8RjJlxixvBg\n5VppLH/deBhUVPqxNnWIe4qj2CldojhQJWirglRVjk8YS4QETKHgN+yyMZnIt1kWqRxOZQF++pr4\nyPEI1ARoU1MDYXHrOjACIkIb5wZnZVFrrWL0YOE/rSqw2oeGKBWXL6f5tCBKfkt3mPeZvifxmaCi\ngLmwK/Rd2lf7gYf/q8B0Xayw5Hs3mYqPVe8FVSIBywEOyCbgX5WKnZ835f2KXNpUlZ4r3HTevZPY\ncSpLf3g70iJtbWtb+4qz8wJe39rWtra128XOi989vwGnKUAX90FayxyATaBtK80ZfXaWmc1UZojN\nLGEFUhT9xzGqc7vecPUEBR1g9mWIuA+WLK82tlZUEnq4HNN2CkhPunEqlpyOYWytz0Lq7IGR1Xiy\nnuYoXc5J2UHd1KKyBIBfDSfOubHwkXGhSz/5PdAd34A0E1BZwiktXTebCX9gZ6xJmYQo15BeYTEr\nilpdg3jfdHejhiJEwmNDcj1Nkd9r/bdqGGPmxfJLhGB0s0qdFXy83l73V8pzOkMqnItnTBx/Tvjg\ntrbCiFDs78MeHKTSJ7crinKKaB2G8tK3UulZ/nsR9AArKJFuhGla33SxSbZHiWxs6t+yClBVCsSl\nbjLd7FXH1Dylyd8OVUWsMCkr6QnQ1TtshYgezqVOcDTI30Fd5dBE7bobXzcmAqBqLD7WWoEpdC+N\n5vztcFv3sn9Y67Opy0rX0d9oPs4V94/n86z0G323AUQhEPANWxsq7/XB0sgQQEqpKPrDCL84ZuzA\nTd2fye8KgxhSPMxzsCq3J1iCcypLeobh2Tnxu+c34GT2QYuSkeLZPEtZnwhf2bFUItf0Qo2Up83u\nbk7FBGSKAylo0GVM5lQWTmWlNQ8xlWXqeua2BZomSTwCyMaQyhZ1vVQJJBtvXacH3WoCXNU17f9d\n5d31SvIy63TW3ZZK0SjrqJ7XgskMv0vXWJeWdQkt4cI6zASAJ3jXFEuxVDHxChm68zEra6hyWZLk\nM7QU5sBNDXvNX/difz91zBd33uFLIuGeUFGkY1JVenJl+GfHXIzHNFknuzs6EkiIpnxq1L0dVN65\nhueSCgNEtabOuWULrqbJqGHS/uAnnDg2sMvupexMCLw1/suwZ2noU+Q4tvH5WWlvbYW17eKEvsx/\naYUrU2YKcBkhdlnm2GgVCBCpwEkFJ1nAE3B/KfAgCRRoMOgNLFfKxJJJ+3KTIymHFx4raiJ23C5P\nbKR32zkfxMV5ajoTbP18LuXk/T05flkAsxp0JHCZFAgWRgJLIuB6IAUPECFWgSUraJKcYw9+USsk\nxSC4tXDRb3WgVaYZScC3u5uulReoXu4AACAASURBVC5f982/+prbq4Fg3hCK++71H1YllqmiuaOj\nBImjshToz+6OD+Cn66FpS2WaNbbX2uSIIu49nedoKAwq83lOYxTpoELCIj9xNafGj+oa3BUU0LLZ\nCqucmHA05tixh5udFtd5jvzu+Q04t7a1rX3l2SkcHxG9DMBPAPgIgBcCeJqZf4yI7gDwkwD+FMAr\nAPxdZn789IPd2ta2trWvANsGnOuNJ0cJQOs/OFleOK2UhsO0Wk1dcj3bwbEQcFubp8Y1+TY6pRj1\nWba6XpHdzMowGiAfxgEglE4Wy0y9/+6zmJXsjCUnBEd2njQYJCmx7u90s4zZ3c258/SqzZB0R3ZW\nbroMF+9Faq7JyM2l3J6VjGIWJZTUhWfUZY/Jwso//a1L1Uvuz1CyFhR+kzLXatXJ1qaMyKrSCmlS\ne7UPnVVeSi4czqWPGJ6I4JhT6S/XbJcOUZ9xqkRmrtsspmRSU0bTuZN1ji6xU6607wDwL5n5VwCA\niB4loncDeBuA32bmf0VE3wngHwP47tOOdWvHM4pQjEoa9ZIxi2Rs3aTGyAXTz6v6DcdKykmaQfVv\nonxxRze8+76xKrMmYYrOMROMyZD3D+r9if7fzeYoLvhGFtSN+LPI1anZLaKv6swxyZzLBEtYZwop\nbwBkC8koN03KRtJwCBPHXZXS3NrxBZkc8wkFQhJPsJ62mzYrjy9tWCURsqB4XaM8pzHApiX1bJ/q\nOYhd6qYzDzTt0oxieiZ6Yoe0jeOsGpRgcvEa6Dk97VegIkQkWdHuM3oKW+d3r3/2Edz47G3cpb67\nN8IP/tO/AYCT0pA2Gg7Ty+K6HWhdU4FGKncWhacViqXZo2lS0qDRUJ4QXQYqA+2CKpNyCMp4Nl/5\nIC4dWiR3d066kSM+r5CgTOvGC+7Hrg4G1AvW+2JH2MAFdT6xjG9Vx2HbJuhB9xzdZOJxtkAvoXgR\nIQttK2XwVnXU65dTd1kjlIydlH9TV5/qzuTWKwZFJ+bpgZD2I5OCEdJdx74Mt6Y73z75ZPq7uHw5\np0gBQCOFPY266nHcaScNECmxND4VstjIhAHi9xE3BoCi4oeFTGpGLVYMwRhVXtPsBaq7nK0LCkmq\nXNdLhO1AA/9cvuGvvhYPfPvr4jend0Sn8J/M/MHORwbABMBbAfyD8NnvA/jfTn6Ure1e3MHb3/Ug\nAOS+ty/Y66GISSIIRSFiGcxZR7KbiX9x1oqP1nCYjG7NB5zxneWoMw0sp3whQnFxPw9sI/xnOpPz\nUDR2LvoyLRyiBT2in2laKYHDv2fUcxwzGopiz3govisGXXGRXZVZ1zkfHob9GIHxVGW+CFcYUG7b\n/DytzRhd0rDKUrFoVDJ/FEWGu/cJgkDBNhql3/SVrGNnuJvOljOlRD9kyJPHh+PaJT44m2fmcx8c\nR99bKKgS0fIyerbDfsdDZZljhetaGDoMCTuLEtpYac4CRYAiDBeTC9l56fdJJSWKyxfxhr/89XjD\nX/l6wFrsXt5df9x1tsbvXrz/Nbh4v+9Sf/rR27BLfXJtgnc8+LPZZ1QNpGFHB17KzGi0kPWLE3Y2\nwdaNB7grjs/sN6rZJH1mjN93xNew6+fK7DOl/JLJvblFLAscZ4ETx/MFMrUkAKvxHRvzikUcUJGt\nrLMsXifQ1AFoOp+u89AZRdU8o/GqcE5kGAPIn1SzVKIrgsooDNp8Mupcu3R4jbHVvJvwFFuRj3Kj\nFXwA5VMMzlsLvh5W2Xpi7c1MxCatRgLBps1lSRPurQeEr2hdIqbU44fVxFOWoqLZVdHS2CXVeERF\nkWUytORltId/4+O48msfBgzhLd/3rad2RH0r7acefT+e+uT7+za/a+l+iP4jAL/JzH9ERPcAiKvO\nGwAuE1HJzKfTU7xNbXL9CO948F35h8vojbR1M5bWSjbdus4EWyj/YHurV32qbBs1AemxkunNKh2L\nAie+v22TL5C1r+zQ4mkfTQnrXSmattAcpX9HujQTPtd4d2MSJ6ffhxpvUchiNLzjyUfyVLazNmU7\ni9FQOIJ7mk5Tw9iK3lxA+f0VAVlcbJjdnaDAE/xyNVibqEm9CnoujhjbU0qmuroRv0dGstWATySk\neZcQqaFAZnWWM8l3dqqPS/g/9dzEAMgxHv6Nj+Ph3/oD8HSGd77vfzjh2aljbEvqW9va1m4rY/Su\ntO961Rtx16veuPD5R9/1d57q2w0RvRnAmwG8PXz0BIA9ANcA7AO4ug02t7a1rW0NS/3urbDzH3Aq\nnIq545KsNlVWqrh0MSsnZnhBZilbE4Fjipwd0AjuTWe/dPe3XvnRoMpoheDcZtkxIlmxkklleoKs\n0Eh1HAoVSTh2Bw+aMopFsZoaapNxqXI7dzKSEZfYd45SWqp7SxpUVj4jEFeCZJJOrpvO8hWiUdQp\nmorIurTC1N16VJdgjU/S18BZn+WGz+yRhiVoU/hSs7MDF+AMyzIf9qmnAVOgDPuGtaL4lGFNFcVL\nhEWwZMRZq2rEyrbqXOS6Bpg96T0QOuN1N7p6FmLmHgCcQR/uE5XLNHsByWqyQ7pWMCbDpJ0FA0Sv\nndLxEdFbAfz7AH4IwH1EdD+AdwN4I4DHAHxL+PfWTmsqg1fs7QkR92QikJk7LsszGZRm3I2QbDZK\ntMCx8oERJnQCPKay5LcgFRcqTO4PVJYpMWfAYyvjC0hlJeIisZyaFGtUFrOWcjScSxAsf9xCURQJ\nzQ0Nh+In2lZ8+oHz3eyaeSN2KtdNDq9acf6pc9pWGa0SjOmtnnHbCna/LNM4i8sXQYMB7FM+E0lV\nubEPSNWZ4TBVruy1a/3Qi0jgH35jLu6J9ruGxqlqpKsbmLGU/KmqgCD6gtkcNJUM7rEznk7EAPy8\nqmEJoqqU9VhssE/Aw0bS6QyHfo6PWVIFWUNRyLXW8LcTUDQttW3Aud6oGnhVhHgDdPmvUzahMpQJ\nhwNfJojbsgPfEM7HrHTTmaCzZpWy59JsWtKBKsWTyZpCeD4XPIvmVVzX+xMDbdi8/L8JrmSZrWpm\n6jY+dYezzhkFVZt4rjQep6DM7I7hpqG0XNc5x5qWQbOtYF9CIOZ3zYiXa9UYqQO+F1qLwP2ZYa5i\nGX/F9XQ2YXbhOE0kfDQVdaTxKFEaJWyOi5QkA3H2Ll/gSNPT4j3JJj8NGdDYI9sAp3gU4BRd0tmr\nqwHwC6zTlHaI6BsB/CKADwH4XQC7AH4GwN8F8I+I6JUAXgbgh0871q0B5fPvS3Rf9nAiz6jmbCWS\ngAoArBPfQCb3T111F9fj9FTjzbF8m/Llpqv+Ft+pppF5V+97BeUXWyelUc1Pq/erm3+6Zi0wDT6s\nEho6IvISvVGS0hgIqfKSRr0o59mFyHTNeNlnvYfUODsYyALUOeHI7DSn0HAIRN9tqNdvJWNJ9shn\ngn3NoFbO+TmhTzYzG4AqPzvrFznB91I18Ao8gG9C6jvOCYwd694rGUcco8bgR7qk1NSWJ4t6988s\nUDJ2sEHFC2hESpU7z1LT4LTR4mn97lnasx5wEpGB7yr9cQDfysx/+GyPYWtb29qtMTpF1yUzfxjA\nhSVfv+3EO74NbOt3t7a129dO43fP0m5FhvO1AB4GsDpFZghmd5x/1rRpNermc+la3t2RDGDTZNkn\nOJaslFZZAHynYig7uLoRVYyT0kD0WWcFqlfIbrZhVztRypJSUWyuspCI1FdnClKWkAjmQtCnJ8pK\nRptat5s9lePnc19+C+OiWPYqq3Tv3Pyo05kq3aM5SblkAJL2slEZF0UvlVai7CSNbAio1TVhTlkR\nGuzCKm3grtmkLV2k37jJkZRRHIPtYTqmGY9VdqGS7nOXH7+bqV2m2axL4FnDmuoqpQu7krXRq/Ky\nBNjBTaQElcqPKyjHqCwlw3EaO0dYotvQNvO72pwqKbIDTHiOyyq93/app2V7Iv++qSa3zBQlEQ2H\nCrakj7nEV3WzYGRQPu/uMDQnUKnuKaj3iB0LPGuk4ChaKKHT6EHd1yL6I6Ua5hlPVKf7grhGgO4U\nu4gvANvaN60ezWR/kbIvCp7A+zcT9darMtftDlWkeD0S44p1YEMZHCyVvVWjkmcBieXwAWCMzLna\nD5PBys6hWPqezWCCvzGjURLd4MlEIEvGwB0dSVPuoEqd+sXly9IV3qG300ajYWqe5LKEiX9PjhIU\nIR7nWOYsuJHqna6qwQwzEY8UIxgD2hknppYoGtK1mH3VXfm6pE4KqkHq2eSmOb3P3MDvXvvzR3D9\nzx+N//zKoUVi5o8CS9Lo2sj4F2d6QwJLFSzm2xJSjbXLYclOMHJ9nZC6mzDR9pwBdkLjITWG5iT7\nVTKGvRJjfYcfDtNDfCZ4PNVlv1qmbsl91VKMRvBKVJh8f+q6cdsKPUl3X+n+8uJkFK0QRSLUVjBS\nYd9SEut0/a/ie03ccqLS4aUphesy8fYB/pgRMlCWMBF/O51luJ1NTRYHJqmZ9I9zsfTOMfCttNQc\nyfbhvP3ErEuhZrHUdEI7L6Wd28029rvRiOBuHCR/Y4ZDCVTskoXyMvq1M7AUoKiJOfteLay0jGPu\nWxS8RtGsLZhSt0MBkaksFVSruwAzS/y9Y6RSeZ9vXMK365SCnIul7XVSxHEM1i2ML8EMqqrD06v+\ndk4CTSOwCd+74Pft6kbw+6tU9CqlWudGKBQFHOtEgIY2Kb+7aoHrDg4yvGfC7w6E5mnh3ppiI4hG\npqjWOa8UHzSNTzKEMZuiWHgeNzGttsd6MZZApWcnK7zO715+0Wtw+UWeFumpTz3HaJGI6DcBPK/n\nq/+emX/1Zhxza1vb2nPAtgHnTbOt393a1rbWa+fE796UgJOZ/8pp93HPC+7AL37mHQB7XrjJdb+i\neOgX3ouHfuF3AQCuCavpuZDuJj3yA+mU1J2FHMuJseSgNF11V9lpLctyAZI9OkYXXSTU9WNbnznQ\nZSpYu3EZNOMaXaPAs3afK7JuqWmH1D0xJiccthZQXYfrLGrupvI/S1c3WwsTM8M6wwpkDQA8n2eK\nH2llX5YrWQh0Nidm0V3dZNfNzWZJt93s7ubKSyfIdmdaxaqcWezvAyY8Y9Op7LtpE9ds0mffE9iE\nrLKl2eOtb3sz3vI9bwLgScB3LyXi4Rcfe8Ad22Y4b56dhd8FgHtefBd+6fGfB0CYXJ9gct0/Tw/9\n/O/goV9478m5D5MP9Ewb7jgMGyErlqpV1krzpe00UnabhdLx80pGzCqZ8VjmgbLsVFCcMG0EfmS9\nj7Trtt1sTk+d7MKzCQAgk7J2mY8lyrNuS4ybemXDShI1aVtgIE2NuqHVqx0pcQytCBQzh1WZzRdm\nPPKE7whZZp3djTrxuuGzbfJsdN2AhgrSEKFN1mw8HydWF2tFrW40hFEZ7k2fWW7bBR7jeG6pwQqe\nTxSAfy4LkzLDRmW61wrSpIP6itJb3vZteOvbvg2A8rsE4GQCi/n4T88Oci+8rPBrmfmbw2fHlhQ+\nt13qTzz2FP6rN/49TwSu5QDXBDwcFBaiM6OqzIhcV3Uknql1MYcdJ7Kwzdr9rX/qtHQia0WZtT8U\novXODuXPUnXaryhNbBLkdl/+Zb9J+MzefYT7u46qIlIflWWOzWzbvPwXHX90xsEykv5Vlsh+i6XX\nh+fzRNHFqrtyofS3oW08tjSAcH9DdzC7VimACEH2Qz//Xrz7n/3Gws9/y/3Snx97kAtjOPUetnaT\n7YkvXMUP/uX/0fvREExw025UklxpCwHgev8UsZY0GiJT1mEWYYxuIBnpktbAj3plb8n4ST7RYLiE\nrYQhkFHyx+q8yLnUqbxwjrFcOhiAY+k1Qlg6EKLecWratJMG+5ENxWmqOJOzAkASDuzazL8IC8e4\no6hkOowxAi1K6jlVKbSFZdW57rqkf0roWX4inpZr3XxkBD/JbbN0vnHTaUqEaJW6pNzkFL2iVic8\nhj30c7+Nh37ut7OxmdEQ7/y3fx+X7tk/0T6Tnd7v/kUAvwLgdeqzf4hjSgrfii71ywD+Fjww9W8S\n0b9g5ivP9ji2trWtPcvG61faVx97BNc+f/PB67ebbf3u1rZ2m9oGfnftLph/mYje1Pn42JLCt6Jp\n6Cp8avYn1mx4vHS41t+GZL6IzpDEehURaweknGUEu6WOvn0oULPZ3UXeKOSWH1cdX2c1N7lmkYxW\nl5OzzvQlOtvdfaROR7VyTeUQtYLO+DYLyShoDXVu6rWJj0wPuCx9FluXcmJ3pjsGZ2ks+ajz1xlW\nqgY+U73kusaVtBkYRAk07ujvctsCURdZlfQzAukg9ZagIQr20bu/YJq5wOztCcCdGbDh2tRTgAgm\nsgU4J/rEqmOWBpUwOwC+q33TbPk6Wwdef+FrcPmFHrz+5J/cPPD67WYb+12/ccpuZiTUfdblzVQ+\nkspSoCaTSWruiBYbR3g+l+e9rkUasKxEtKMIksLxOWxsyrqt1dI2i+IP3DZSOcsaZzpNp6pcTygy\nsYdYPuXZHDyd5r4mZvoGAzmuMclPcaTdjNlYZrk+3SqcJnQ/oelzTxlJxwkuwG0oCyvRiphl9CT5\nYdz6/mjBCyBrBmKrBCfIgGehvN42oErYZ6jSx5RzJaIEAVqVecyMnTwTB4cZLIAbaQjKfLiz4Mhc\nMB5jqZiLnl/m86zDnOs6a26NHesgSnFAigGOU910Nu+UP4317OKJT78fT3y6d825VFK4Y8eWFD63\nJfUTW7fDq6Orfrp9rwv6VKeZoqg4yXG4aTfuSE9mCFxv/puFTj6lHdsdd8Kkdq9Bhp0qVzpFUbLR\n92RF6X8VnlRpz2Yd8F1y/0QvUq/eX+/xDSKAxpeIyuWBfOxeb2llGScLaHswVwvY3zQOgMxyqpBs\n82XBQSTsjsF+WYAD8TS1dlH794yNgHPDB7e1FUa0SMu15H0hQ5mf8pCS8M45zvFwscQacZKNmpiD\nahYp6AsVRt7lNpSso3/pCjcsOQ8aDHoXxOCio2Pe0V+nxYU7WwtqVae7Cko9JCW/DulcNQ2R/NgH\n0DHYqlU/AYpsER5xjTw5eeKEO4GhnKoW3VD+vxqAhkF9Sfv0bAHvF+BZZ7hWN0qCFXKe/n7IfWRX\n9EMjjMlL/5A5ia3tFxTwJ5SddzofduB2CaxNUextyuKQgu5uJzkZNYaeuXgTgZEztmV+93kvewDP\ne9kDC58//C9+uFdSuMeOLSl8vgPOKAkZHi5N9aNXIjQYpJVVF6i7CkitzeztJdWAriNKTSh9+9I4\nx7SSpY0kL6ka5KvFyDE6m29G4aAyfdy0G1GS6Ixk5HJMmCfHsgp0nPN4LnlRMofcF4zppiyViUh8\nndYuKoPEny7DcKqX3EuCKgxk2ypOThXAKUdAZrWKUjJ1D1zdCH9gHF9sglL76+43u94Ky0uGBCPF\nnGREbXh+I28dFUWSuWTrUoYUwNL7vYyntdjfB6pSOAu7VDJ3XJJxx3tRGBSj0ekxVXG/23jz/Jum\nL1Pvb591F8Vsbc5XqIKs1Ni5d8E3YFDAwanGFf3suhqJ1zHtK/onTZe2jPJmgaZpkDJe5tJFef7r\nJvk1r4JT5BR8SlEoXgXSSmN1vdAAlTKzQIdbOHB1Hk7ATZs4Nrmu029oINzEKbMLrJxTzM6OcEqv\n2I4Mybk5Ft5KAMRyfjybJ3+sG1azKlX33gNZoJwdt0NJJccUNTpN2ZQSCXr7pYkJNW/Ehf88VgcX\nFdzMzk5eXYoLpPl8Y6hjoulK5yWZTI3t1ZlNKgpRRaqbdD5djO6CXz8D33uT/O6xJYVvbkpja1vb\n2tai8TH/29rWtra1rZ3OzsDvEtFfgm8Iuo+IfpSIxvCSwv8hEf0ogL+ODSSFz3eGkxkLnAAxFa9X\nSZuSGa89XMg+aYWNdWWbm2FrQYw9nX3HwdilbuUeIvwzLnmmDsBOtrK3dAzk2ctCjSfiw/p+0tEN\nloMo7CvL79liYyLghV3q1afe3xIjImAQVtMqw8tOnRs7OE1kD8h1KApFPK2edUOZasVGY2f2SkdJ\nB1s6SVEUeZnpJrE5LCi3bO3cmhkrNZ5VFDNL6Iey0m01UNWYJsuOkX72lHVFJthaj6M8jikcHQ2q\ntD9SxO8MSJaLOWQ8Fz0KjYYLJdv0m4XDRt+ghCTaNn+vOkTnJl6DspT3vKrET1+7tjrbtWKuSplJ\na6XPoUuEDygIkvhOo7K9VJai8tZHX6eqVOm6WKWktlCCdguVrTA42WXMAKprF9kTMmiF40WGkPhv\nXYkcj5JSEQIR/XEtZfHL0uNwQ8Z9lSCThldQYdK8oTP3C4ICZ2Sn9bvM/D4A7+t8PMUxJYXPb8BJ\nefkSCI4pKtQQJQkoP5FuwOmmnA/YBToDBXAPWBF74zB3EstMUSr4B0hRXnSP2xd4sWrysVhdvoov\nDBnhZdOg7Q2aiqIljFW39EKUXm7tRFe9RBvbKk68dA3DxKNKWPH663iarZXSv10s62XWg+8h47Fd\n8XcbqaM4u8gapSiUtIxcVopfUt4yOzu9k6zZvwAQiYoREdx1paoRZe6cUMawdRs1R/XywsWGCkOg\nQyUBe5/nD+eyAMri7LCX28zl+Tdj/POpcHg0GoIQYB8a36lLlYFnNgYi3Sa3+Oy6w0kWZNqDA/Gj\noTkvHbNQ+EfNt6n9x7K1ERGKOy6LDGLTAJPwzk9nyU9bFchRNfCTv0psRJ+YSQ5qKdkwj7AObiJm\ncbgDKqNkssJvx2aQOJ8pLCw5BrOCWvVc6wVTTYjoa6LSuNpayrzJPxEBw2FqYNTBPds6p2CL10Y1\nx0SjGBx3pHczakPVH6AXFFSWYNXACh20GwOezNQ+wvVRuFMUBECkjLWUadon4J+H+LyNhmnMa5vP\n1ByczBAwHgksZDbr979k/Jwa3w1rs7k2mz+UnZgGa2FHZ7Ob09q5DTh3L+7g7T/9vQCAKw99FFce\n+ugtHtHWtnb72Rve/Cq84c2vit21p6Yp2mI4z7/tXtzBD73zewAAV97zMTz8no/d4hFtbWu3lz3w\nHd+IB77zmwD49/G0dl787rkNOCfXJvifH/znyIhzC9VZqFdPfaXWvo5kzpUiiNQKKFsJraYhykDg\nukSyogzZtzLPytdry+iSncvIgjfNPMUyiFZX6jtGTPnrcrsG7ndLFBt27q+klOqWVDTwvEdnPbsG\nhkBMy09JZ5YjoJwJPJtLpniT8nrPNikzagqVcd2sPLNA1RUyjUVV5te7e81idkEpaJExyMtzGw3B\n/1Y1umUKLeH+Pvy7n8TD730U5Bjf/p89cDqaIsb652Vrt9wmN6b4qb/9f2TVGDeZrmcxCKIbSwnM\nVckYQPa89WXLMJMmDir8804xAdZAmknN8vd/QYVIK5xF6zyTOvtKAFCp7F7arwNM/7NMZZVXudL5\n1goClf+WHacGKRoO5PuqzLr5V74/q+afZRCmrmmIFi+jwoq+d43f7CuVM3ufrrOEyxhldKVLqSJx\n28IU4W+7BP5WFCBYgAKcoirzzKzOrG4Km1PwrOi/aUowly5KZnaJxSx4rNqSMel9IsdwsdoWrv+V\nX/8wrvz6hwEAP/OBn9xsfEvHjbV+95kvPoqrX7r5/MfnNuBEUcDs7vgyYCgvLOXTVFxwZm/Pbxsp\nJNilz+CcBCAKwwP4Mk+yNVybeRem4t/SzlKXEJalxVmN5zip8+hdLTbDIeqAqE+2S3GKQZVEYpo/\nwyHFXerOukhXsYIRQNOlZAobzkoJrktpUSilCAVfACs6Ecd+mwzX2t+xKjtW+EgAZjyQMSzpjF85\nqTnrKaG6xzmO6TFbi+Luu9LfiQ7FUIY1y7r+NfzkGM+S7hBOz7Jj8PXQLUwkeKczsHUr7We+9Cie\neRYc39ZWWOAzzKAazq6H1hizsODKFucKOmOvXu3fR6a8I1hKbpcvcLs+Lfl7IKdS0r9tGsX3mU+D\nbG0ehBi1KNM41vD71MUd4SmaW7JtgSbAAqazBdx8UuAxUob3ssRRmaeQhW3PuRd33uH/IFo4D226\nfKuhQGQl4eLm80W+SOTXlwaCxTWDyvMtd5Se0liza6ikPDV2HIXMm0RZ0JnOh533e0aegTQ36Tmn\nU56nUhSO9HXn6UzwyHWdYHaR/zr5QTJL57TE7AKA2iT96589DSuI28/mnrYwYoiJYA/64VbFJXF7\n9sZh7zbHtXV+9877Xo0773s1AODxzz580/iPz2/AubWtbe0ryjwf3Opt7nzeq3Hn826+49va1ra2\ntdvBNvG7z5ad34CTVWZrRXZOts8JgXVTSV83drcMv7Q0rZVyuqTiwFIViI1K3T0dj51B5sc+qbHb\nnGfWqBJ4BL4zgZ3i4STamJcxWzFnv4mrwGLpdWAWXtBstexEv5fBAXDfdy6FZFXUPlLGwIZ9N43c\nLzLo29lCya9bEjtBp2OfuenMZ9CLxXIjDSogEmTXopTCzmfrT8KVKUoyqizfdz/OQkBBkSxv7Rxb\nbKRUnIsL3b89RoMKaGh9E94qzIdiozDDYf5MO15eRVnGYFGW6XhcN/3CFPp5ZwduVPXLmKTGE8ew\nzDKyd905HRpaV/kIdpxBiYQHV/wjDYe58oxR3f0kEJu+0ntiYCkko5grI5mFc9NzWOIPdk78aJ+o\niZo/8k59te9M2YmBqmduc058IAxQN1nTVbaPHvgclaXPxsbucWY5PzVuMxxmmfcsm1sYwITM8Ipn\nmg8nop9u5fnNWAC6v9nUD56Fwts58rvnN+AE+25ZQ/IiLQk4iwuS0rYHBwAZofRo2+xix7J8t4My\nk2hTpvGCHnNhcqqOiK9hVX5SZPWLO1RB5DLMTXAYmTxml0YE8C/dBuo5maSbKhctkJQTZd1yGe6n\nU5JmJdEouKgVmB7mvFMxBlEFZZOIlr+johAMl355DXK8IYqsUbXXsZNZICqO95WZYXZ3wjFNRrmx\nlgJm3efHNJ7PYefz1DFudsdS9i7LbFJIcoDxvE7Q0bhcOSlOaoC7fqN/oj6BnRfw+tZWm5vNNsI2\na3hRlEBNODXKBTCWltGB7ypoiAAAIABJREFUXGSih/KuS6wOKBiJ45zCSZt65zNIloZh7co5UGHy\n8i0ZCTacyzustd/SgW2kHwM8BlMrEuntAcU64QSGtYDbVh3rKigyuzspeKLdUSKiL/b2PBl9H0MG\nUcKkQkGlEt1Rdh80rVVY3FoHKsJvBlXGzsKNkngsFATKmByu04VdqIVNwglreABzGFtP/4YWP1FB\noasbmKqS66sW1Gxdeq7sjRtyLy7sZvKcVJYwO56Mn2ezRfWteKzZzHenp0H5fRd33ZWOaaLCWyzl\nW7eU2SQ7zpK45Lh2XvzuOQ44t7a1rX3F2TlxfFvb2ta2dtvYOfG75zfgJCMr2JiaX5bWztLrZnnm\ncJWpBh4UwgXXJdNNBLm9+4h3Nc8GUVn2l9h1GVN/nDjpwu1xeZNMMqdS5avI7zVIu20Xs1q6czPx\nXnaabPRq1xAQCZgXiHyXgPu7pfNV411SRkjZhU3vr7OAC9dSkT7LKjNkDlh497JSULdLXttxddlX\nGFWDvFS4pPkM1oHn08XtYsdjbLA41Wh6TDeTndLOy0p7axvYJg2JpGRdwzNsBiJbu7Hpd74vq7Om\ntJjpeWtTjXbLLGU1gVDC5l6BBxTF8ne9O09E3zKoAj9kZ7yxRJ3GUORNP/GYzmVc0TpLSwr2hLIA\nx+ygrgp2j9u2IBeqSMYs+O8ERYOCj5HomjPsYqVozb2hMu8QJ6ZONVDNtbpappqoMrYBxa/p+UL7\nTtQFudCQ+TYEdyM0hrZN3vibnt/QCKabaNU9SXLMa+SyM27u2OlvnW++jPtrGpgmdNozJynOhX2d\nkQDHOr/79OOP4unHb+cudWs9IS/68YvFpYup9KkpO8ygyvFmjuHqHkWEHiJy6VpUL6JjSfMbX5aN\nOtfLAsaFfReFp2BCKFMnXXLXCezywLnXYRtafOH7jqm/stZ3tC/7PuJcus5Hl/T15JPpG9fqWvWV\nsgOepUsfFcvZnQ5z3ZmqiflRibPvTipaaSi7ZkoLWneVJos0SZoRSwXnRATWJSZ9TOUcNX6Sm/b4\nCkZdp6I0eO1TTwtl0oXdpXglhK5MACh2xr4jFh63ts5B9lmCntQ1aDA4GzUvxk1T0tjarbEFsmyi\n5WwiysxolNHZpIBG+RNdRjfDoS+FxkU4kei0a/JvIJGXU+h6zrrRle+NpnXDI05f+/hUcncu62A2\nuwHKtYS6DAD4SOaebKHf7SFgzsqySYvdutxvKXxmUkUCQE2bOs6ZTK55DmR0R5kOfTy+7SRYrMKK\nsk3l34zVokNHRLqM7hTETNNexcAxJUpycQyjfL8ur/t7t9ilrtXosiCyaX2iJ24HZF3ufXNo91l2\nR0cwqpt900RHPNf2y49nhPlmdxcUx6gwu2TM0mTamRC/b+B377z7Vbjz7lcBAL785x+4/brUdy/u\n4O0/+zcB5JxUyRznL5HmDNPYiGOREqoVorL0MvaBpHsc2IItWRGmRpw+U06U1QuyoJ6QjWUJT9sa\nXlF9Dps0Jy2AoVede6I1aWUFvy4eo05w2j2u4qDMrssqU997uoyO1GZqlKDsOFHWjes6x+62bZ4V\nOYUtU5mQsYcLZgg8F1qNBDyfTj3uqMpxT2dhD7z19XjgO785qqWcfuW7jTfPve1e3MHb3/UgAODK\nr31o0fcuMSrLE02QRCojp9XTnF3Mdi5b+OgKUKQOM8jngj7ux2iJOilg61SwJeNRnNDd4MMpiUal\nsrPu3c4Wcjrrl+03bx5Nvirzk91KU5fTUvnobFGurlt3ztE/D4tW6iZ0lp3LMis83j4tAooC3Nes\nqAJWcux9W/T1dZ3zWi/DORoDdxgU2wYDlaWVRclKUxRJZn9f5u2i2GhRBeQBo5vOQHGBMKjkPvQE\nv2dN/H5e/O65DTgn14/wjgff5f9xFtmVrW1ta8e2K7/+YVx56GMwoyHe8j1vOvXKd1tSP/+W+d6t\nbW1rz7qdKfE7zo/fPbcBZ2aaBiKsMuyNG/k2ses54iWX6ZLH1VCH+iYrt+huwsEA7HLMX7INS6cZ\n1UI1kO5vTYBOqswcs2cRT+NYkZ43x85edekeFr7XXYuaeHkZ6W0fiTqwcE3XjSn9rF3UuwWQlRlo\nNBKcFpCXrTR9Egos4E8Bnx1swu9jST/+xIkKESyJaoS1ki3pu36xJB/3iQjpCFnRps0hAh2LJaBN\nV8vucCIdlIMqZW+4bsDzuZDxs4OJhNCAp+3Ami7hjmUlHmc3HuP6HZ8Tz7e1tWZ2d4Uk3FpQ7Ng9\nmsKGZ4qKIvlFjpQwa+4xlWWOH6wqKT3O5un9Lfb3ReVncuQzcKniIOV2IsFpsoKjpPmCFNxKaXUn\n8nCtfFM3ecmZBN/NzMlXksrELoiITI7WU/kFNS9d/o/nBqOuofbJoRydqafFYWqMdU/FSW+r/aOJ\nJfKC4OpmfSJMVYYSZCFcL9epvok/yq8PFwVMuN9ZJ71S8MmEPpwLULawrc586zmHSO5PpJCKGWnS\nuFG5vlSWSSiA2zarHJlCiZ9MJinxlZ7zcG56rKvgS2Y8Ss8MVSXojstpH7F0j7KE/fLjaTxnZufE\n7z43Ak5tqfy7jHbIgIzLeSN7t6P00qf9plJ3hzJJBVVLOR83tAXusyVjy0o2zm6WEV/yUJ2EI5IK\ns1pZxEnwtqm8puaypPKYvI5FEfW88/JVj/UCrbuccivkPYU/bkM4hrMeZA945xp3VZWZHGCXpuS4\nQRzrhi/N8BLVLXRpqhROvhgomLpexNxtameE4VxHQPzUk4/i6Sf/KP5zqzR0K00rpURJQnSCFyUZ\n639TrPa5AFKjSKTk0c0v7GQhpzCKKSjs8zVGNUXaxe9Fwra/zMyOQUYUabKJnlnUgFZJe2ZSmcfg\nPe77PQlOn62iS+okBDI1Hx3oa1onvW3af/if2oZ5hU/UphqnmBnk3FL/n0HRFC4e1i70C6yy9Oyp\n8UlDbRdyEflLjYdEhYCaBgPJL0CgDprOKu0iSk6ORmDrHa07OFg6vgW87LLzmM+FDtC6FHRn8QWd\nDZ9zfuD1fvfZsudewLm1rW3tOWkEyKJhid1916tw910evP6lL9w88Pr/3963B1uWlfX9vr3P4z66\nb/cM0w0mmCkLMRNBB5iB7okm4jwEumfQiNFKQqwEmKESVMaY0kSNImqMVoyDFAoqGmPFSiVaEWQQ\n0JhSisoMj1EiJVooBh2UGcZ5dPfte885e68vf6zXt9Zee5997rm375m+61fV1fecs/faa6+99re+\n9T1+X0ZGRsZRQB+5e6WwugpnWaLc2gqTO6QbdncSWnSsC0MQsSfR2I3bLGafPU7DgbPuxWbtvRD/\nuySV+PqNbbAPA9C77tDKudhFw4z3ti03jceiao/oWscEpbJ0WyZmchn4tDb27rWuoGwq3C6SmYXV\nOpWURY2/uVY+gSvlPpIJQkViVxz3T7p7ZlNv2ZXB6G10T/6i5vwqSDriWu1t0vSAJ49eC+ib+PJl\n7QICQMePuVrotL6Goq7ThNDzsF8Ca0V22hnzobYvh+5ba+Xpcpu3yCkaj304iKVSstnoly/7jN31\ndZCpzKMuXQpcnygI9VMilMpaQmfTwOLvwArFsWPeXT+dhm7wQdM9noINgaJyHFginQt8Vml54sKj\neoYZBVWUlKukQ+sFuLTWSu++dfQ94n9HHVhVXmYLFpAkBDtHICtFQlJnv637XjEYUtbO9/4F8r4D\nVJbBmk7BPYUy3day58szFJZtwFaRM/PKhoC4ti0EE4pbB21FI8Wdlk0HJUItNjbChCixHnJVoVhb\nc9dVhuCdFaPcOmb+Lt0zLTY2mqGDe8U8z9Jjn8Rjj33SfjyCtEhKQU0mIR1CW5wKK5/5vKhiJngs\nPX+WUGylW3nRtiUSL0vnIq7q5fQUkb2n3d4t3Yo5FvtQP7RxMs5zu1qKpLL0NCRKeZEVj0dXFqY7\nJqGsio2I5HsrBiIDM+5rj1CNXr/LvhK56lSAXnTtPfZ2p3dUe7ELT/3YY6CBr6oBZveMaDgEb5hy\nmABQlk4o86zaE2XSMliVnXbGfMhFn1CK91S8a0ROkUxtMgNuSRsL6bK5rVwXVcBmM++KjWLFJf1Z\nL5j3QFLyBBBZ5e6YyD1M43GooHTJOOfWX6STsrsiRt32Z1a5dtXOTjQmfs3SbvjuOM4GROgWixCp\nrtMDdo5595tgDgDC0IQ+YVt2LZSVpSilEwhDRvA3gEKGgcRsIzEV06JlfEWVQVk6lEZD0FgrkvUj\njwbXLtbG3r1O7MMmZA7FPsrKuZ6lZ9yAU8+4AQDwV3/5kaNHi5SRkXGVgYFVoefIyMjIOBJYIbm7\n2gpnXffjy1ogoYHinYSrKz4T3F4iEHqvZkbhjm3UQbfZ6HF1mZQVFGjsaoPPMTF5Yiy6st0cwbG9\njt3pdnFLDofeglbXzq3Ckwk6E4jsDl7ucOvQWhLUUR6NfPapDKGQfbO/y+clOfSklVcE1cf15edW\nyygInclX8nyZXSmD7PvM5Rh9rOomM9dx5Q1HzsWjHn8CtG0ye621yhBWEwA2LiM1nS1nwe8F3j/X\nfMaBQ9YnVzu7vp62nMeCq9Ba48uTxiNXll4+FeRJ0GtDJC6LMtjmpKySMrSagWtf8UazTtgflc+m\nRyS7asGjKfl7dyeOfSQ4JkLMLRp6vwRLhCwsscAct2PJUv6zAu/M/DUkYXlwsi9WwpWXYfqcnm5r\nF0ZGIbdvy5rBU08IXxjmEGcVjbiNA2txxLXprLnjsQ9zkPNgNvUeMckgA+hnL0KqfAIR+zrkZjxt\n32h93VkeZUgRT3xCLg0GQeGPvuCq8uMVsN0o4HJYdIblepaYczQovQegrnVxgUUtrs0erozcXVmF\nc/PEBu796bvBSs0nH94jNU8AZn9uMRCuhT3S/sgMwL6nxUqPiwlCuzLQdo7I9uwEFVFcqc3IHKbd\nHab0o3wpwubSLhlZ3jOIwezqGpEmbwaari4bb1M0fwvgOlIG3zViZOfBxvq0PUxB3eXcPdYl6e7b\n0yz1oY/ZK3SpPlv6zVcWKU9dZzJ67RxhgLXyWVaVF9YCkoAY+xDbsywfHBE9C8APAbiRmV9svrsW\nwH8A8GkAzwXw3cz8yHJXOrqwxO80GuLB3/g4Hnzfx8MKaTHkBg9eEUOtQKUgM+9THlUomQEDxryS\nxXLDKd34RRFuwlN9UOxdymWpSxjKsoq2P/FmnsU1lwUzrKFBvrONTW68KY9j9THHWDAHkhy9vZ/2\nz6YCHHx09H8JA4ms9NS2ke8hH1mxyyEIw6q0rHZfTYUC26LkWniWktrFXLKg0eospCJc+dKwUl5z\njVaUbXwo+zkX3pAOAznzihfg7MtvBABsbq13jkEfZB7OOdh+6jLu+5fvvOIxZhkZGR6SgPj83bcv\nH9uzvJL9lQDeBeAF4rt/D+C3mPm/E9FdAP4jgH+67IWOKizxe3nyRPdmLiMj40Dw4G/8Ph40cvet\nH/yB5RvMFs45kAS+Ca7MAHtxBYpAXyC0wEkElsp5G1mZ7Ry4E8SusK77bzcCLlAxBiKbvelubyG8\n73ONPmCGunw5tAhYrrOy9CEQKZeMdfnU8Fl9gwFQ+eByucFoLelZ1z6rdTDQLv3WKHdvXbRPx7p+\nXDnUoDxaFHi/AF+cPr1GbdzULpHHhh/I7P7ZwQkANZl4t9fmprdaVDVoVGiOOkBbf9aMK5IIg2PH\nXBu8bZKaWCUtn3sCA5TgSVyoCeZfIaKXRl+fB/DD5u8PAfjFpS6SoQtU1AqYeSsVlZbNwrN7FOvr\nbn7bd19yvbqsXCAIhZHJdJxyvQLgKrKYMQHc4uqVVjJBCi/LNarpTHhwvDs5JTtkMo5LuChLsAlB\n4qrSllB7XzL5pC+CMCqBum6vux5dw7qHC9sPc772ZEThVhEa4Qtl2cvz5M43xOpJy3NRJl3tVBjO\nVWWLnAh2mFKELQmZrMnuASp92ARG5rfty72MUjyZOKttefKEKxwg1xXLx2qdWDKBiBBak9uYPgKW\nk91ddw/l1jFgxiHLgQzPMK53Bvzztsm1y3Ig95C7n3/8j/DYE39sPx7BLHWg/YV0v8/JHLYQZvyG\nUiliOa1pPhBe8xSyljqunYrqPM1VZM43f2sx5++zi7YrQy4Yw4LClyhBsQQgoJ9ovf9GfWLhduhS\n/uR5bRRQIt7JdDT9d+M8TwFCBXmC9655IV1tdR1UKgmueVC7zmhTYhUBNhQb5alT+jdRuSXod6Ot\nfUTiEg8/8hF89pGPpo6+rmerpwFY/pILAK4hogFzi3aS0Y2icJvIMMbaLL5iUZaVb8rjx8F1HSic\n7vyCQH0LUNjKQOOhO59n0873JXAjS9k7mej4yKhtiWAzWwzcfTnYzXVMci7IzJkINBj6vvYExbLL\n/W3jF4dCCetZ2c5W9tmDq3+hIiEdsiFgOIgNRalKcG1tAACH8pnrOqystCDqC5fCcXfrrW8fgO6/\nzD5fN67tutbKZB/YDc6xY+DdXT0W9nvlZbT7W4Y8wSi9+1R0owunrrkBp67RWeqffeSjRzBLvShQ\nrK/7uAkkXuRF4zVlnCYQ7ML0Z/P3bIF2RTB0oGR2lTSz6Ni5tn4XQyq8PcfD8dLZPgb0ST6xprMN\nlxjDzgrCgu6ocTyRL1MnnmmYqFSEXKDyebco9i743Ah7/V2KVqWFBgnQyiMnlFFJUTEnsagxpubv\ngBYmSh6TlZcaWEYZFcpwQL9UlNqyLJM+NjfMgZ4+hoZD8PVfoP+ezJAe+b0hRc/xhadvxheevrnx\n/W8+8H2P9Wz2UQDHATwJYAvAE1nZXALMnutRvIMuNu3ESTeX1ZNPQZn3udwagqLZ4hbvGuCUxwYI\nkwNn/l1kFvzFCWudo8kBolhL8y66jZ+Mm/ZellY+H8VhhbDKxFNWxqIL6PfFKsMmKaOXoinvI6J9\n8n3zv8VtNmiarPdEbhxhPEgLypCFw9dcRahEoupsmpbZrPRASl5jxzMqYlMHvkqbmtYBpyXq2pUf\nDkoJ1/Uc/udEvOuQwBPPkc0KznJNZek4Pmkw8MlxdY3SlA7m3Uko8+Pr2+d46ZI2oDj6LRUkl0qL\nqS21qT15hVOEl8Gq0NGtrsKZkZFx9eFgBN/9AG4B8BcAvsJ8zsjIyMgADs6btiBWV+E0LlDpstkz\nUu7PLjP1XtydrIA2W9BBuk/3gNhtIqlGoJr1kmMkrcLux/S4qt3dsLKHRC+y+TpqW1hYbVxQF1LW\nzr1kly5qNRAVVVqt3rHLqaMy1F5gx704fhzq4kVfvYIIpaG+sdWIAABlAR4aq/e06g5nWAQ+EXfP\nIKKvgk4I+gIi+l4APw7guwH8KBF9CYDnAPjXy10lQ9IWOQT1vgWtnKUXkhYce1jKqxFBE7o33ytJ\nwZO0lgkvjCzwICWB9DC0xYpKeUREQCnI7JlBqapmRbFQvKNpvDmmdhwLAk+9Ba+9CWrP9rf3Z9bN\nK454nVORdVoe16OQhgvHULVxb5tTqsq5prlA4F4PPEqyghQV3oLLdVh0IIKjmqprb8WVVszp1BXP\nAIy3qmN+A0jGwbsY4Ph7a/G11aeWVR32R+4+AMCaYWtmvm0v7ay2wmkFjp0cHVVXGojoNQAjcOz5\nhobCzXf5gi6iVMiEoBaFIozDWeDJS7eDfGlTY8Cqv2Iry8UBnr5C/NboSqISgu6iEO9zhJyvZqF8\n0Liq+imc0f3LcABiEQrQNb6xq7zHWAWB77INhAtV27O3Ae8AwsQ0VtH5wu23z3yYcUk8CypLsC0V\neGLLJ1sQodg2rqFaAc88BZojUPuAwEu7dpj5dwD8TvT1DoC7l2o4w6ModHnfqXexFmtrPjnoyad8\nIppwIXJV6XMK7+4MlAbXWKl/s1W3RJJbKxobzhDyXVJ2HpuNkuNiHA4ERZk/VydyCu5EIEh6dO5q\nGXZC4SaXhiPvEu8RTlVsbGhXqukroQxlaxT6BRhZJBQdWXmoCGJYF9gc2ljRgnT8aoojeh7aaI84\nJetKky9hOTHj0IKmMcDyCsvwIMc5bLkzoZ+vo96rZq1covr3yp0v19mg1HNVuXCBYjwGTFwzpjP3\nbtDaOKjYFvO2diHkTR6576xBwCmkS8SrAvsjdwG8j5nftGwjq6twZmRkXH1YIUt/RkZGxpHA8nL3\ny4jouwCsA/gIM+8pbGllFc7Nk5u49+2vB8B44P6H8MB7HupnHbS7QbsDl8HkHTXFZfDyfqNPJZv+\njbXVMW+hjFoU0qoat2+vLzPOF2m6JZO0QaicOncePVXqy3kW3zbakDhZCPDzI6a4io5v9qvpZnQ/\n9dwJB/1dwvqpLl4M5jjXtbdcV5Xf9W+su+PO3PalOHPrl1rr9fJ0GVnhXHlsbq3h3re9FlzXvuiG\ntJrNKlh6LwD+PZLWMkCfkyLWjj0a0oOj0p4mTdMUJfe565NLFGpUzCLhWUG0FtSht0tDUz652thE\noUy0cq+M78GPR3nyBNS2obnpsBQye49b8FbEssweoxBUVJJrlqu2A4TMAvNgLZq2EMY+rVNBkg8V\ngWenGAzarbCu2Imv+CMtiP4477WkIfnv+hbzaEnY1clKZi6WpQvPUDu7nmWB2SekzSpHsWT7sxfE\nIRBn77wJt3zdGaAo9oX4PSV3H37sY3j4sYdSR6fYQX6UmT9MRCWA3yWii8z8u4t2Y2UVzu2nLuMt\nb/i5kLKij/Jg3CjuASpfbYAGA+9GVhy5WAIfS/oaRI0Xyblcu5QHmVkp3apx1qZ92az7KFXqMh6D\nJRQQlw05L1seCF0cA5EBGZ3bGftpXRKSBgIdAlKOgVRW5Vjb55uoYNG4F/c5cme30VZREcYatbXH\ndb8x7IOuc/dr0yLCE1x2pKT5UApkPn/43Zfw4V9/CFAK5/7hS5ajy9iHWKKMg8f2E9v4iXveoV2h\no5F2M26sgydm0Z9VIcWXkUGWDknGphUntswxjPqJJwAYuRPHvZk2pEuSxmMUxw03LDN4Z9eV4qXB\nMKQlctm/UXx64X8L5EQsN22YUVloN6pdFwo4eRPElEIqfiqMFU0pSK5DNnZQU6a5jOjRMKCTaoVw\n68t+S6XHtd8HYhxYAUsbXYRyHFZ4ijf1QklMrCVBZStHWWVCNdbGviSzqh3vJc8qnbUOgNbXQ4aO\nCI7CSoaTFSV4OoOqzHkkSqmyCsfYrvuTCWh9HeWzTuvPl7ZdmEnX9SW4mjXCCh64/yF8+Lc/CbWz\ng7c9+CO92mm/AJJy99nX3oRnX3tT4/sP/P6bG+wgzPxh839NRB8E8NUAFlY495lkLyMjI6MdpFTv\nfxkZGRkZy2MZuUtENxDRa8VXzwXwp3vpx8paOAGEST7zoCILZWIHFQSHW7iaueh1LWkyp4K85S2u\nDLEHK5esY0uFt+7xrEZv05AkDJ6XDBTz1HUgSNLpunabS6EQHJ2LKBOCeL3XcXF/gmN63q+zdogd\nt+Wai/k7G9fc3wzzVL+WbmNuoYSIgJrZB8wvd/HsUn86wHpyKhXURQ/Q4cmwcofknImPb5Ht0npH\nZQneMZb3hAvWheJ0VMgJidoT2dJAY05qXlCTACSqEwXHlIWz8vKMmzJRWlJTPMembzahsG+iD3NL\nDW6x5gSckYtikfdzzjrn1rO2muGyHYt4Hbe/i2RKmSwF+BCN4DpzLLXJOu+6kaD/riLeaOgsnGpn\nx/Gx0ngcet8KcvywRcSv2d6ZaP4Jl/7+YGm5ewHAeSL6G9A8x38B4Jf30tDqKpycFkgp12VAhdA4\nvggnl1hsHeHrXrtYVV7QzIuvCwjahYtAlnILKuEUkZs/jGey7TRc+VK5Tpy7H+CqCkMRpAu6bQyE\n24mnU+9Gl/eQJAq2Qn3aLUQSmZJxrFgs7JNKquiDpjTq6WKS7vUuzCk358IIoqxeIHQPHiTUxYu+\nJJvpT58427lgzJ2Lj174FD5/8VP244GVWMvoQFmiOHkCfPGiU6qsO7yBlNIhNnb1Xz/uvxcuUb35\n95s4967K+OnINU3jsS/wUJCXIbUKN9eye2XpFu5m4RB2/XL0Tcy6olCC+N7drz3O9n9oYhJbNtKF\noR5DUQC2NGatwpjJ2SzI7peKilvfTOy866tYv3g68wq+HJsFQMNREDeZCmWTZPtUlg3S8lRoExUU\nkMMH9yaz+5Xw/co5lZhfth9BOAUEQwFm3Qpx6nsbniUy5a1bnGajcC7YY9bXQEUBtu7zogStm4zz\nqVizFliD3dwTcngp9JC7nacz/yWAr1++I6uscGZkZFx9mLMOnj72XJw+9lwAwMNP/P6BlVjLyMjI\nODJYkQilK65wEtFPALgM4BKAGwHcy8yfW7whX/KJRNYbT6fGVSHIzPfLwpfgb0y7N0Qta3u828UV\niWOhfw+snei0Fs7FPnM5WpDhUEsRNc+D24nuhZR4DyU8mx3oSCgSGbYhQXQU0L7IuCZLVias23GJ\nO4RWDesek6XfDhrO4lQrAAq8s0/Zq9mlfihYWO5WlebjNB8bTy1lubHvUIIhRH7faKosXRlDFtZK\nGo00/yeQtuwnSkEGKMrA9d0KwRPJda2tWtI9HTBVmPeTyLerGCDlPpMgDAfg5J0sAuGIzO11A49e\nFL4Ss3sk1hyua5A9Tya2diG2ALIClZYPssWTIsPSSoRjSyTc20X4zNrktygqQSVg66YHoRXjsS4q\nkEjEkteXYWgAQKM1f5wIjZjrJbJeNUn23mYdn0zA47EIZStdCWfa2MBgS5eprD73yN70kDn8s30x\nT+4+evFTePTSn9iPB+ZZOgwL5zYzfy8AGF6n7wHwra1Hx4TnCdel2k1TZegfe+ZFxVni8W8WLZQV\nAaKqMVQKCo5UjAqQIHZXreb4zhrcbZjnyu0JKouALiKgnSrLsF6yhMhM56ryVCWCKaBBWxUJE6cI\nFmUnO0BIoeTpONqUTOnC7hTUiwqMSFkNMuPbFkmZ5Ql0khfvK2LKJ3Pd+okndLbw+lrbmYshK5yH\nhf5yt66hLl4Ma5XiD8lRAAAgAElEQVTH6IoJF/O83DJZ6gW5aitBBjL0Ys6VINhmE0JCPkbeVsJS\n28bFySGtkSPOrmsfdzcYQO3stm/QhXx1NbOtgcKGsYxGgNvwVe4dpmObIOO+5arSVfGMksbR9Xys\np8iiXhtrqh0Zr2fl4GjkizDE8lSlmUACUvg5VfSCykqGZkntTnQfyu51QoYZUVnoPheRXNM3nQxt\ncr+b3wLFsis0rqCA/cApxFKuFyVsOSIyVYb82Av3tuhvsTb265IJQwjCOOw1C/JxsSLcjXdqPQ9s\nTfuTJ4Jnx6rDpW5DKNbXXHxoI2O97dxFMaeN08e+GKePfTEA4OEnD86zdMUVTiv0DAroHXcTRGaH\n2nO3Js/r4D5sPW3gd5WB0hS/vH2SQoJdYw2WVSTazo2FYp9JlupL0qq2QPLVHDAnqhb0LXtoBWJZ\n+mB5NGMtU4qgrk6xX5bqKF4stnzKMWw8/8VjctyO2XLdLQhp5TmwGM6O++HJBLWoKLP3a2BP/K0Z\ny6O33NUHG4sZ5s/zFB2Y5F90CkgRHkcIZaJTGgpfVnI6dRsuskkaMtaTZYKRqDZjFb+Yk7MLrgzj\nIIwrnFWBx8NeR/JE0mCg6YrarpVav2ybUnlzVt7QQuoURKXaPUsyzprZjEN0b+a4dJUdozD1MWJY\neWYtujJpJ5HME3BEGwOMa0qK3jjpx17Hyp5U9UA5tEL5ZBhjxkwYZxI0djzrrnSXprdSemMEYTiQ\nyr5VYHcnQKEfQrG5qTc2kirJJkFdvuzfhYNIOl0huXsgCicRvR/AMxM/fR8zv9sccxLA1wB4VaqN\nE9cdx9se+OGG5eX+n/0tvPdnf+sAep2RkQEA5+6+Hefvvj31U4oQeAEsnS2Z0YH9kLsAcOLUlub+\nk5nTSmXZm5FxgDj3uttw/nW3Nr4/cWpryZZXR+4eiMLJzC/r+p2ITgB4G4DXMPPjqWOe+vwFvOHs\n9+gPqZ2jzAqPdj4L0SnZPrcQ9QaWT3uMtHIF1rCExayt/40OLDAhEvVmAYSuZmFNW9oqJtoFIkJb\nec2u+rtF6d0Og4Hb9avJxO/goxhZKklbh4Ega3Ke1TusIJKA3XG3sSCkzrMxw13Z5V3XBIIiBI7q\nA2aOdcSjtcagxRmhZvyK0dBna+7Bsv3eFsXiN9X/aBACL4zMr3lg2A+5C2jZ+y1/7/u1pXE2s23r\nNsbjoH66JGDnyQQg6eoOs8ydpZ4ZPBPuaUGf1EaWzRcvmkasrA/ntatJ3pPJQWZkB9eZVbptF18d\nMlW4d3F3142N+76FTcJZFIcjwIYG7OyGrtuydL/FVkY3PkrTL1nXrprChQ8U62uADYHY2W2PwZT3\nGlFQFeOxt9rayk5Au3vdzoMWq2iKfaRzTYrd47GlLyapt0iFiykd4uDigaWMrSpvCY1YEBrW6Khy\nIaCfB22Y6j9V5am7ALBS7vnJqlA8mbSvWYY9570/8wG892c+EF5+bQ1v/eAP4JnXn0qf2xcrIncP\nI2noOgD3AfhOZv4sEb2KmX81eXDHYkllGcTKNLi49uL6TCCONwo7EQYpL1wJZj+q04g2aDjwwmoP\ntBitULVT/IpRuYd0IYTxtzLgXiKOfepyA8wLUUies4fx7kt3lLpO1zWiYP3OLrS5s+37EZcUHA5d\n2MOy1F/7ihVy7Rw1LCR3BwMU43GYkEFpqh2ua6DqSMaTsBbTWWVkiv2e/CItFv1OxbGj/GNjI5bo\nk3ONy37Bv2tB5SA3Z6MKZYLajQYD0Jpxs04j+hyZKKT8Obofooxii0LilMeIeonEuGEwcHGuPJmE\nVfT6bDpt/KbbLIhEqr6b1h4yNRm7HoQ4CaPCkmFgTUor4fZOzQkiMBWevq+q/LyCV+65qqAumogU\nO3ccxzT76BExh4gVMAsTvjoNNPa8zY3eHK2tWCG5exhJQx8w1/2v5mW5CCAt+DIyMq4i8OKbsoz9\nQpa7GRlHEqsjdw8jaehFSzVgTdzDgchE53DHKKgj2oh7AYTVeLoIYq11KyZ3l8HQXbu7lNvd3kNb\nP7sg25Buobrem/WxD4TLN9j917U3/qV2jglrn65iYoO5hXXBZmna9uVvgo6DBgOXJa+maFrCE1Qt\nAbk0AJQiMWAPIQey5nPjmm1jkPrNXr/DKhqMd9IVpYmQnSVkdxK6xjrmVrCbvxKYR89x+dN4dOfT\n9mMmft8nLCR3qwr1hQuBW1VWVSs2NlxWd6cXKnLLKkGOHbipJxOwcEM6OTAeOwueIwuX4SPC6yBl\nRuDG39jwGcXG5e+ua8MElGp4XBoV5QAAItOxrkOGjqEIvRLvUnn8uHsX1faOy0a2/bJWMxQEddHX\n8JYIaqxHa5DtQ7m+HjBaUFlCTRLhCdHzcs/XUR0lqtxE12zIDDl20rrsaKNaQpdEX9017bNKrNsy\n9CqYl7YiX3StgMh+GoYvuDlWlu5anVWBVA0qfaKQI4QXISUAwLsTZ+mmtTUvh9fWgFJkoMcuemsd\n350Ez7t+/Im90QjGWBG5+7QjfpdKg6/0UIoXR7t+5mW2U1nqclXOhdBxfFvMJJB+kLHiJRXTfUCy\nlBcQ3nMcX7rsNV2mJHffT6w4OeGpQiEWV/3RfwSfqQiv4e57Dxniji3AthP3P+HWCcYwoN6Q9zUf\nLg6YVcTx2XOzIl1ybYph1G4x3tB/j4aoH3/SHNOc422KpqXEaXXn7wU9XDun174Ip9e+CADw8KVP\nZOL3Q0QQTiSzoCl6f7pCSFoUUlkBCLWQUzL+XpVA2SLD4vAbK/9HZRjTF8euJd5bzYEZhWJJpU7K\nDdfPdnlOg4F7z5kZqK3siGIzS8FeohZnVglQhveluakXoMKz41mK/sgYTvGMW/tpWGUAs5y2ramx\nAYYS12w73vZV8FqTE8kxrZ4CDUxca6OstQ8dWBTSAGCrLQXhFUGYm5H9g1IbBmw8LhXA0Bqyila5\n2MZduxBWSO4+7RTOjIyMpzFWJFsyIyMj48hgReTuaiucRDp4XRCyuh3Q1P8tM8lVXYXm/BiiikCv\nnZqo0SstVb65xO4+UX3BVYnpU8vdVqGRxOERibhrI6q/3llNx7btftfX6KzNbiFdAHLXFWdDxm5q\nmdglduF2p0cY+mMVB+PdSBqyrhNpdbPZ3n1eKBsAzonjE8lBNBj4SiDTaeQ6otC11GXlcVV7Quu0\nD8r3Vp2Uu6p3uIVInFAmc7JR9aQn9tWyGTS8GoIvoweYURwzlnIZSjMeg2y958nEvZfFxpqed7KI\nQuq9sGwNgg8yFdrBs6nnkjQI3hmOPDqmP64tpva63VUVyLSwmpBnkNC8kf44ZWqhgwoUm35seFfK\npAI0NO+5/F6EeqmdXaAgX1BBRR4pGYIUEJ63VLypKk9ybq8p14JUTW6RGOTWjsqGphXCHS0SiLqs\nsDIRrMtyGIRXCXd0ivRcHu8s4iLxiP01Y45jucbTeBzOsZlfC5w3J5bxENbMyNJoM9BpMNAhIWKe\n2WuqS9uO6L94xrWhd6ogFNdeo4/f2QnW0cC7tB8WTmBl5O6KK5wtNEOwAscqj7NQGVx2cFXtlYTA\nrapCF0BByYo7DVqbRTPEGpWOOshghatXkh53hgjE7jChEDVI0RG7kjgIZQrak2MT9w9wG4dWcmEX\nk9ukuwqvkwpZWECp6js/5L2IUqoA9CITu+FSiKtwyPFIbVYALWQWda9F74hU7strjGCbTqG2t698\n3KYDr4zgy5gPSV8GwC9+UXlFVz1nNEK5NoZ66gKAxPzqqpwmy2FKKppF46yJ2uWtNBQoRjEw/SkK\nHzuIMnyXWDnRErs33XtU11oRTFHolKLEoxRRVpF1992ibAFNOr7UMbVySouLTZWhPG3V6eQ9CTL7\nOD699/gvzNQSFQTogpO3i2dt82TSuom26xEnC6l4d79b92TWOKv28ApVuyqI6q8eCaq16bkt1g+7\n9lUcvFv7s/FfHbm7ugpnUaA8sRXsoIMg8mlkebTBuTIhBehv/YqQesHmvnQuYDqctLrs2JzEjy6o\nUJmV/GZS6PWiPkiU7XRKakvZTUaJYmz6X4dxUTQa9qMxATynH/wOUZaE85Up/LP0nfDXLETJPbW7\nC1k5Qh+bSBqKv+8BrmsQi74U5ASApF+hwbCfFTIWaAlqJ03FwWmlkMgtIlQWUFYYJRYEx0tYyuB9\n1bogN5KgDgKM/QmAzzhw2GSzYE5Y615KYQSAqgKNR+0KQcf7F3otbB98HXMCjOXQvBctfJ1BdTJ7\nH1Y+1XWa1qj2Cpl+76I1hK01TCgWqtaWKQPLMQqEySd0/LjbPAa8l8NRQ/kLZHmLpa9YWws5dl0J\nzqFPQK0qvSFuSTAMPspxH4+dUmwrOwHwHKiij+63mPN6URm7QLJs67HCszM3wTIGFY7/tByN9KZc\njol45jZRrlgbh9/F8cQmQal8xrVuE6AmE11Fy/SP1tY8Bdd47PlZt3cWSyDugxWSuyurcG6e2MC3\n/adXA0rhgV//KB64//cOu0sZGUcOZ++8CWfvutl+XD57cUV22hnt2DyxgXt/6rVgK3vf87HD7lJG\nxpGClLubJzeWb3Belvrk/+HRyWfsx6OXpb791Dbe8oZ3dlvu7A4xrhghaRwWWODm7jDnQbqCxfUX\ndqnHKISbR8a/CEoIV9Vj0cx0Zris7NZjhAWAhBsKCKr+dNYKJ0+r0ndsgyxZuYssy/5EtssoOI3K\nQFEmaJ+66KzcjpfK0mW8tsLSf1iLvaR5YRHjymX3vbldf91aTaO1jrHAA+/5mFM4zt99+5LZi9z/\nuWUcGrYv7OAtb/zF1qo/MRyrxGwGVmp5C42du9Opj9tW7OIi53Qm/FyQ81KEzgWfaS/nvqZ9GyKF\nuMJZYBUdDoPKQwH9UtucF678IEQnOCaiQaqq4B6dxbYoARvptbUF3t7ek8fCV5QaJYuHBPR0BTUz\nwyX2qfiK81Iu0F5jLIs4VMLcZxwjWYRhYamqderyZR9XWxB4FlmN7TlxfsNs5lkA6tqPr1JgWRCA\nCA/c/xA+/NufBIjw1v/97+bebzfmy93Tw+txeng9AODh3U8ewSx11gInfmlcgPBwBBtUEbgFijL8\nH2jnAYtdr0J52xNEDI9rWUVJG0VE29HWH9nV4WCu29q5RFPJRW0vKxFoNGpy3aVgXyIjXG1gerwo\ntQufUFmzShgze8FfozkGggM1qeCZ7xcWrqlyqEB7go3kY/Unzr8Oh4uZFNYN3lHABLp3VLcSSW8N\nzBHINBzpBA0bklAQ6gumYsaSVT16gSO3ZMZqoij0HNmd9HOXWgWx6qDtikDjcZqDWMY8Sxe0Tc6Y\n17CQdTQaNdYGGcvoSg9Wk+D8II5U8I/SaOTCCnSioFGGmbWybRUIEfrC8Rjavg0HOs7avvvxca4/\nyieRzJqJrk65qSqR5DPzPKkLwCYyAWjwjAZrFlsKqjV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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import webbpsf \n", + "\n", + "fig, axes = plt.subplots(2,2, figsize=(10,8))\n", + "axes = axes.flatten()\n", + "\n", + "cmap = matplotlib.rcParams['image.cmap']\n", + "for i, ax in enumerate(axes):\n", + " hdulist = final_hdus[i]\n", + " data = hdulist[0].data\n", + " \n", + " vmax = data.max() * 0.75\n", + " vmin = 0 #vmax/10000 #np.min([0,data.min()])\n", + " ax, cb = webbpsf.display_psf(hdulist, ax=ax, title=filt_keys[i], colorbar=True, cmap=cmap,\n", + " scale='linear', vmin=vmin, vmax=vmax, imagecrop=5, return_ax=True)\n", + " cb.set_label('')\n", + "\n", + " ax.set_xlabel('Arcsec')\n", + " ax.set_ylabel('Arcsec')\n", + " \n", + " ax.minorticks_on()\n", + "\n", + " ax.tick_params(axis='both', color='white', which='both')\n", + " for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/NRC_GTO_YSO_Imaging.ipynb b/notebooks/NRC_GTO_YSO_Imaging.ipynb new file mode 100644 index 00000000..3eeb61ce --- /dev/null +++ b/notebooks/NRC_GTO_YSO_Imaging.ipynb @@ -0,0 +1,743 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "\n", + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import S\n", + "from pynrc.obs_nircam import model_to_hdulist\n", + "pynrc.setup_logging('WARNING', verbose=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Observation Definitions\n", + "\n", + "Functions to create at optimize a series of observation objects stored as a dictionary." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def make_key(filter, pupil=None, mask=None):\n", + " \"\"\"Create identification key (string) based on filter, pupil, and mask\"\"\"\n", + " mask_key = 'none' if mask is None else mask\n", + " pupil_key = 'none' if pupil is None else pupil\n", + " key = '{}_{}_{}'.format(filter,mask_key,pupil_key)\n", + " return key" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def spec_modify(sp_sci, kmag_sci, args_disk):\n", + " \"\"\"\n", + " 2MASS K-Band mags include disk flux.\n", + " Modify stellar spectrum to exclude disk flux\n", + " \"\"\"\n", + "\n", + " # Determine real stellar spectrum. 2MASS K-Band mags include disk flux!\n", + " filt = 'F210M'\n", + " bp = pynrc.read_filter(filt)\n", + " obs_sci = S.Observation(sp_sci, bp, binset=bp.wave)\n", + " tot_flux = obs_sci.effstim('counts')\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt)\n", + " disk_flux = hdu_disk[0].data.sum()\n", + " star_flux = tot_flux - disk_flux\n", + "\n", + " # Value to scale stellar flux\n", + " scale = star_flux / tot_flux\n", + " kmag_sci_new = kmag_sci - 2.5*np.log10(star_flux / tot_flux)\n", + " sp_sci2 = sp_sci.renorm(kmag_sci_new, 'vegamag', bp_k)\n", + " sp_sci2.name = sp_sci.name\n", + " return sp_sci2" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def obs_wfe(wfe_drift, filt_list, sp_sci, dist, sp_ref=None, args_disk=None, verbose=False):\n", + " \"\"\"\n", + " For a given WFE drift and series of filters, create a list of \n", + " NIRCam observations. This function will calculate PSFs out to 160 pixels. \n", + " However, for the case of F200W+MASK335R, we will assume that the \n", + " subarray size matches that of a simultaneous LW observation (320x320).\n", + " \"\"\"\n", + " if sp_ref is None:\n", + " sp_ref = sp_sci\n", + " \n", + " obs_dict = {}\n", + " for filt, mask, pupil in filt_list:\n", + " if verbose: print(filt, mask, pupil)\n", + "\n", + " # Disk Model\n", + " if args_disk is not None:\n", + " # Convert to photons/sec in specified filter\n", + " hdu_disk = model_to_hdulist(args_disk, sp_sci, filt, pupil=pupil, mask=mask)\n", + " else:\n", + " hdu_disk = None\n", + " \n", + " # Create identification keys\n", + " key = make_key(filt, mask=mask, pupil=pupil)\n", + "\n", + " # Define the subarray readout size\n", + " # Set the PSF size and oversampling amount\n", + " fov_pix = subsize = 160 if mask is None else 320\n", + " oversample = 2\n", + "\n", + " # Initialize and store the observation\n", + " # A reference obseration is stored inside each parent obs_coronagraphy class.\n", + " obs_dict[key] = pynrc.obs_coronagraphy(sp_sci, sp_ref, dist, \n", + " disk_hdu=hdu_disk, wfe_drift=wfe_drift,\n", + " filter=filt, mask=mask, pupil=pupil, \n", + " oversample=oversample, fov_pix=fov_pix,\n", + " wind_mode='WINDOW', xpix=subsize, ypix=subsize,\n", + " verbose=verbose)\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def obs_optimize(obs_dict, sp_opt=None, well_levels=None, **kwargs):\n", + " \"\"\"\n", + " Perform ramp optimization on each science and reference observation\n", + " in a list of filter observations. Updates the detector MULTIACCUM\n", + " settings for each observation in the dictionary.\n", + " \n", + " snr_goal = 5\n", + " snr_frac = 0.02\n", + " tacq_max = 1400\n", + " tacq_frac = 0.01\n", + " nint_min = 15\n", + " ng_max = 10\n", + " \"\"\"\n", + "\n", + " # A very faint bg object on which to maximize S/N\n", + " # If sp_opt is not set, then default to a 20th magnitude flat source\n", + " if sp_opt is None:\n", + " bp_k = S.ObsBandpass('k')\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + "\n", + " \n", + " # Some observations may saturate, so define a list of maximum well level\n", + " # values that we will incrementally check until a ramp setting is found\n", + " # that meets the contraints.\n", + " if well_levels is None:\n", + " well_levels = [0.8, 1.5, 3.0, 5.0, 10.0, 20.0, 100.0, 150.0, 300.0, 500.0]\n", + " \n", + " filt_keys = obs_dict.keys()\n", + " filt_keys.sort()\n", + " print(['Pattern', 'NGRP', 'NINT', 't_int', 't_exp', 't_acq', 'SNR', 'Well', 'eff'])\n", + " for j, key in enumerate(filt_keys):\n", + " print('')\n", + " print(key)\n", + "\n", + " obs = obs_dict[key]\n", + " sp_sci, sp_ref = (obs.sp_sci, obs.sp_ref)\n", + "\n", + " sci = obs\n", + " ref = sci.nrc_ref\n", + "\n", + " # Always use RAPID, NGRP=10, NINT=1100 for\n", + " if obs.mask is None:\n", + " kwargs['patterns'] = ['RAPID']\n", + " kwargs['even_nints'] = False\n", + " kwargs['ng_min'] = 10\n", + " kwargs['tacq_frac'] = 0.01\n", + " well_levels = [500]\n", + " else:\n", + " kwargs['patterns'] = ['BRIGHT2', 'SHALLOW4']\n", + " kwargs['even_nints'] = True\n", + " kwargs['ng_min'] = 2\n", + " kwargs['tacq_frac'] = 0.1\n", + " well_levels = [0.8]\n", + " \n", + " # Ramp optimization for both science and reference targets\n", + " for obs2, sp in zip([sci, ref], [sp_sci, sp_ref]):\n", + " i = nrow = 0\n", + " while nrow==0:\n", + " well_max = well_levels[i]\n", + " tbl = obs2.ramp_optimize(sp_opt, sp, well_frac_max=well_max, **kwargs)\n", + " nrow = len(tbl)\n", + " i+=1\n", + " \n", + " # Grab the highest ranked MULTIACCUM settings and update the detector readout\n", + " v1, v2, v3 = tbl['Pattern', 'NGRP', 'NINT'][0]\n", + " \n", + " vals = tbl[0].as_void()\n", + " strout = ', '.join(map(str, vals))\n", + " print(strout)\n", + " \n", + " if obs.mask is not None: v3 = int(v3/2)\n", + " obs2.update_detectors(read_mode=v1, ngroup=v2, nint=v3)\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting contrasts and planet magnitudes" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def plot_contrasts(curves, wfe_list, ax=None, colors=None):\n", + " \"\"\"Plot a series of contrast curves for corresponding WFE drifts.\"\"\"\n", + " if ax is None:\n", + " fig, ax = subplots()\n", + " if colors is None:\n", + " colors = plt.cm.Blues(np.linspace(0,1,len(wfe_list)+3))[::-1]\n", + " for j, wfe_drift in enumerate(wfe_list):\n", + " rr, contrast, mag_sens = curves[j]\n", + " label=\"WFE Drift = {} nm\".format(wfe_list[j])\n", + " ax.plot(rr, mag_sens, label=label, color=colors[j], zorder=1, lw=2)\n", + "\n", + "\n", + "def planet_mags(obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Determine series of exoplanet magnitudes for given observation.\"\"\"\n", + "\n", + " pmag = {}\n", + " for i,m in enumerate(mass_list):\n", + " flux_list = []\n", + " for j,av in enumerate(av_vals):\n", + " sp = obs.planet_spec(mass=m, age=age, Av=av, entropy=entropy, atmo='hy3s')\n", + " sp_obs = S.Observation(sp, obs.bandpass, binset=obs.bandpass.wave)\n", + " flux = sp_obs.effstim('vegamag')\n", + " flux_list.append(flux)\n", + " pmag[m] = tuple(flux_list)\n", + " \n", + " return pmag\n", + "\n", + " \n", + "def plot_planet_patches(ax, obs, age=10, entropy=13, mass_list=[10,5,2,1], av_vals=[0,25]):\n", + " \"\"\"Plot exoplanet magnitudes in region corresponding to extinction values.\"\"\"\n", + " import matplotlib.patches as patches\n", + " \n", + " xlim = ax.get_xlim()\n", + " cols = plt.cm.tab10(np.linspace(0,1,10))\n", + " \n", + " pmag = planet_mags(obs, age, entropy, mass_list, av_vals)\n", + " for i,m in enumerate(mass_list):\n", + " pm_min, pm_max = pmag[m]\n", + " label = 'Mass = {} '.format(m) + '$M_{\\mathrm{Jup}}$'\n", + " rect = patches.Rectangle((xlim[0], pm_min), xlim[1], pm_max-pm_min, alpha=0.2,\n", + " color=cols[i], label=label, zorder=2)\n", + " ax.add_patch(rect)\n", + " ax.plot(xlim, [pm_min]*2, color=cols[i], lw=1, alpha=0.3)\n", + " ax.plot(xlim, [pm_max]*2, color=cols[i], lw=1, alpha=0.3)\n", + " \n", + "\n", + " entropy_switch = {13:'Hot', 8:'Cold'}\n", + " entropy_string = entropy_switch.get(entropy, lambda: \"Warm\")\n", + " ent_str = entropy_string + ' Start'\n", + " #ent_str = '{} Start'.format(entropy_string)\n", + "\n", + " av_str = '$A_V = [{},{}]$'.format(av_vals[0],av_vals[1])\n", + " age_str = 'Age = {} Myr'.format(age)\n", + "\n", + " ax.set_title('{} -- {} ({}; {})'.format(obs.filter,ent_str,age_str,av_str))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define Source and their Reference Counterparts" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# source, dist, sptype, kmag, fov_asec\n", + "args_sources = [('SAO 206462', 140, 'F8V', 5.8),\n", + " ('MWC 758', 280, 'A8V', 5.8),\n", + " ('HL Tau', 140, 'K5V', 7.4),\n", + " ('TW Hya', 54, 'M0V', 7.3)]\n", + "\n", + "# Corresponding reference stars\n", + "ref_sources = [('HD 135343', 78, 'F3V', 7.0),\n", + " ('HD 135343', 78, 'F3V', 7.0),\n", + " ('HD 29714', 54, 'G2V', 7.8),\n", + " ('HD 29714', 54, 'G2V', 7.8)]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# K-Band Filter\n", + "# 2MASS Bandpass\n", + "#from astropy.io import ascii\n", + "#tbl = ascii.read(\"2mass_ks.txt\", names=['Wave', 'Throughput'])\n", + "#bp_k = S.ArrayBandpass(tbl['Wave']*1E4, tbl['Throughput'], name='Ks')\n", + "bp_k = S.ObsBandpass('k')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# List of filters\n", + "args_list = [('F187N', None, None),\n", + " ('F200W', None, None),\n", + " ('F356W', None, None),\n", + " ('F444W', None, None)]\n", + "\n", + "args_list = [('F356W', None, None),\n", + " ('F444W', None, None),\n", + " ('F356W', 'MASK335R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK335R', 'CIRCLYOT')]\n", + "\n", + "\n", + "filt_keys = []\n", + "for filt,mask,pupil in args_list:\n", + " filt_keys.append(make_key(filt, mask=mask, pupil=pupil)) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Functions to init, optimize, and plot contrast" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Generate initial observations for each filter(no WFE drift)\n", + "def do_init():\n", + " wfe_drift = 0\n", + " obs_dict = obs_wfe(wfe_drift, args_list, sp_sci, dist_sci, sp_ref=sp_ref, args_disk=args_disk)\n", + " return obs_dict" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "# Optimize observations\n", + "def do_opt(tacq_max):\n", + " sp_opt = pynrc.stellar_spectrum('flat', 20, 'vegamag', bp_k)\n", + " obs_optimize(obs_dict, sp_opt=sp_opt, tacq_max=tacq_max)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# For each filter setting, generate a series of contrast curves at different WFE values\n", + "def do_contrast(wfe_list, nsig=5):\n", + " contrast_all = {}\n", + " for i, key in enumerate(filt_keys):\n", + " print(key)\n", + " obs = obs_dict[key]\n", + "\n", + " filt, mask, pupil = args_list[i]\n", + " roll_angle = 0 if mask is None else 10\n", + "\n", + " # Stores tuple of (Radial Distances, Contrast, and Sensitivity) for each WFE drift\n", + " curves = []\n", + " for wfe_drift in wfe_list:\n", + " obs.wfe_drift = wfe_drift\n", + " result = obs.calc_contrast(roll_angle=roll_angle, nsig=nsig)\n", + " curves.append(result)\n", + "\n", + " contrast_all[key] = curves\n", + " return contrast_all" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "save_fig = True\n", + "def do_plot():\n", + " nwfe = len(wfe_list)\n", + " lin_vals = np.linspace(0.2,0.7,nwfe)\n", + " blues = plt.cm.Blues_r(lin_vals)[::-1]\n", + " reds = plt.cm.Reds_r(lin_vals)[::-1]\n", + " colors = [blues, reds]\n", + "\n", + " fig, axes = plt.subplots(2,2, figsize=(14,8))\n", + " entropy_vals = [13,8]\n", + "\n", + " xlim = [0,10]\n", + " ylim = [24,10]\n", + "\n", + " filts = ['F356W', 'F444W']\n", + " for i, axes2 in enumerate(axes):\n", + " for j, ax in enumerate(axes2):\n", + " ax.set_xlim(xlim)\n", + " ax.set_ylim(ylim)\n", + " k=0\n", + " for key in filt_keys:\n", + " if filts[i] in key:\n", + " plot_contrasts(contrast_all[key], wfe_list, ax=ax, colors=colors[k])\n", + " if k==0:\n", + " plot_planet_patches(ax, obs_dict[key], entropy=entropy_vals[j])\n", + " k += 1\n", + "\n", + " import matplotlib.patches as mpatches\n", + " for ax in axes.flatten():\n", + " ax.set_xlabel('Distance (arcsec)')\n", + " ax.set_ylabel('{}-sigma Sensitivities (mag)'.format(nsig))\n", + " ax.set_xlim([0,10])\n", + " ax.set_ylim(ylim)\n", + "\n", + " handles, labels = ax.get_legend_handles_labels()\n", + " h1 = handles[0:nwfe]\n", + " h2 = handles[nwfe:2*nwfe]\n", + " h3 = handles[2*nwfe:]\n", + " h1_t = [mpatches.Patch(color='none', label='Direct Imaging')]\n", + " h2_t = [mpatches.Patch(color='none', label='Coronagraphy')]\n", + " handles = h1_t + h1 + h2_t + h2 + h3\n", + "\n", + " ax.legend(ncol=3, handles=handles)\n", + "\n", + "\n", + " fig.tight_layout()\n", + "\n", + " tacq = obs_dict[filt_keys[0]].multiaccum_times['t_acq']\n", + " tacq = round(tacq/100)*100\n", + " fig.suptitle('{} (t_acq = {:.0f} sec)'.format(name_sci, tacq), fontsize=16);\n", + " fig.subplots_adjust(top=0.9)\n", + "\n", + " outdir = '/Volumes/NIRData/'\n", + " fname = \"{}_{:.0f}s.pdf\".format(name_sci.replace(\" \", \"\"), tacq)\n", + " if save_fig: \n", + " if multi_fig:\n", + " pdf.savefig(fig)\n", + " else:\n", + " fig.savefig(outdir+fname)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### SAO 206462" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "i=0\n", + "\n", + "# Disk model information\n", + "# File name, arcsec/pix, dist (pc), wavelength (um), flux units\n", + "args_disk = ('example_disk.fits', 0.007, 140.0, 1.6, 'mJy/arcsec^2')\n", + "\n", + "name_sci, dist_sci, spt_sci, kmag_sci = args_sources[i]\n", + "name_ref, dist_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + "# Science target and reference star spectra\n", + "sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k)\n", + "sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k)\n", + "sp_sci.name = name_sci\n", + "sp_ref.name = name_ref\n", + "\n", + "# Modify the stellar spectrum so that disk+star = kmag\n", + "if args_disk is not None:\n", + " sp_sci = spec_modify(sp_sci, kmag_sci, args_disk)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [], + "source": [ + "# List of WFE drifts to check\n", + "wfe_list = [0,2,5,10][::-1]\n", + "nsig = 5\n", + "\n", + "# Target acquisition times to check\n", + "tacq_list = [500,1000,2000,3000]\n", + "\n", + "save_fig = True\n", + "multi_fig = True\n", + "\n", + "outdir = '/Volumes/NIRData/'\n", + "fname = outdir + name_sci.replace(\" \", \"\") + '.pdf'\n", + "with PdfPages(fname) as pdf:\n", + " for tacq in tacq_list:\n", + " print(name_sci, tacq)\n", + " # Initialize observations\n", + " obs_dict = do_init()\n", + " # Optimize readout parameters\n", + " do_opt(tacq)\n", + " # Get contrasts for each WFE drift\n", + " contrast_all = do_contrast(wfe_list, nsig=nsig)\n", + " # Plot contrast comparisons\n", + " do_plot()\n", + "\n", + " clear_output(wait=True)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Remaining Sources" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [], + "source": [ + "for i in [1,2,3]:\n", + " \n", + " # Disk model information\n", + " args_disk = None\n", + "\n", + " name_sci, dist_sci, spt_sci, kmag_sci = args_sources[i]\n", + " name_ref, dist_ref, spt_ref, kmag_ref = ref_sources[i]\n", + "\n", + " # Science target and reference star spectra\n", + " sp_sci = pynrc.stellar_spectrum(spt_sci, kmag_sci, 'vegamag', bp_k)\n", + " sp_ref = pynrc.stellar_spectrum(spt_ref, kmag_ref, 'vegamag', bp_k)\n", + " sp_sci.name = name_sci\n", + " sp_ref.name = name_ref\n", + "\n", + " # Modify the stellar spectrum so that disk+star = kmag\n", + " if args_disk is not None:\n", + " sp_sci = spec_modify(sp_sci, kmag_sci, args_disk)\n", + " \n", + " # List of WFE drifts to check\n", + " wfe_list = [0,2,5,10][::-1]\n", + " nsig = 5\n", + "\n", + " # Target acquisition times to check\n", + " tacq_list = [500,1000,2000,3000]\n", + "\n", + " save_fig = True\n", + " multi_fig = True\n", + "\n", + " outdir = '/Volumes/NIRData/'\n", + " fname = outdir + name_sci.replace(\" \", \"\") + '.pdf'\n", + " with PdfPages(fname) as pdf:\n", + " for tacq in tacq_list:\n", + " print(name_sci, tacq)\n", + " # Initialize observations\n", + " obs_dict = do_init()\n", + " # Optimize readout parameters\n", + " do_opt(tacq)\n", + " # Get contrasts for each WFE drift\n", + " contrast_all = do_contrast()\n", + " # Plot contrast comparisons\n", + " do_plot()\n", + "\n", + " clear_output(wait=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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l3cjYeEB2JJ/DaCuQeuCJgKhLykINLkPOjiCFAqQsrEIBVchR2tijo+lLDqnx\niejL3t/D0Gu6yEx00hW+js0bUBkLcRT2/oPkRgYw+nq47859uOUKhKKtzf5+cB3c2SLuNRtwUybW\n7iJuuYx55UYQwTl0LBA8c2+/idydT+hjvBc54ufluJjnpnDa0jA2ERH8brmMtXa11nB67hL2ltU6\n24EnkMyODshl68Tu4Se5zydZ5TJmXy/Gtitx9h3QixDQUe3eecLkOA5nerq+EDp1OvgwO7dsIXVm\nKlhAmf39gf7BGRnB7NMR5u4Ldd9aN59BlUqYA0t0uxdeRG3fpu+nR1a/+ck74aarcXc9g3FUvw9d\nPfmgD2vlIJyb0IK1vx8eCpFJ26bnC55J/ZZrsHZo06q6wOClZlCAc2mCzwV8smkBg8DBJk0/ICJn\ngTzwl0qp8SZtElwoXAflfXDN3h7cqek6oTPMqGyORcEo2+buz9xfD17xo7KVqrd1nfoH3iNE9Q5U\nQHACWeSlgxPLqqcr8n3oQsf6mrg4+QzIZoxEiBX1w/TlbthE3tJc3swcbpiaLNeqwT6zowN3rlw3\n0wqRqPww8Ygj8NW0azp1nOsi6TTO1DQoNyDm94QIpz/WsInZaG/HnZlFStFAWn+uje5ubcnyXM+i\ng9BkWXlWq4VoO5XjIJZeXIhlIbkc7swMCiLH3xMjypKyGn1ZvQWIf22BCbxWjfifNmi2Q3BLJS33\nAWe2GDWV+4fXqo3X5snCcDCbWBb//oWHtUbYslBOSHvuOo3jhwbf2ci9FmkZaHehuFS5+1Li+4Jw\nXiqciQmYaDRzK0uwOjsiwTJhiKsiKRAi+zIZsG1NfvY+F2w3N65rMFqYfb0Yjz+PLB9oiLwGcDet\ngj3PAjBz9RLapqYhk0Zsz+Q/PII5uEz3tWUT3fcfQlVrGNl05OVoG7Jhrowql7EsE7o7tW/h9DTu\n2DhGV2f0GtrbdQS7baN6ulC5NMbkLFKcIzNWwclq8mjk81rr6GPoHMsfENxcKvIYl1d2YhVtnLxF\ndmyAcrtFxvZW8vGXffUAxlwNtX8cXIW4qk4kMyntHL92JWroHKpcwc5GzV1NV6e2TfrYKHYoBVR9\nn0O5L027RwyNcg1xXFLjXg7NdArJ5xqPCybLwO7KkurqRDracc80J5eXG6LUhYkOd56ocKVoGfV6\nGaCAWpPzffkrJb7y9/peTk+7TE8HbVY16yceLRnb/W3gbqXUiIj8CHAH8PqX5AISXBTCmhxl2/UP\ntu/XptxlpDIAAAAgAElEQVSA0Ci7FhCJCJoQSV+7pCoVlKuCIIu4KXteP8Nmz3+Tbb5WldD4W5rh\n43AdpJCva/bwXbo8dx9DtFauEiLh54FvIheRqDwQoykZNvL6/BGS47qaILlukH4vuE5vrMqWxv5E\n6ppPR+q+nK38an0oVSfSrgosPf7vlte5EFyqHPseysHvNVrJ3ZcDi5dwFuoff7e/C9MnI8USrp/m\np7cH54n9wQtnDa6guG05KMjcs1sH6Jwcwz52QgcUHaj7L/oRxHR3M/2ztyAOdB6cRu0/jLFmELcz\nT8e9zwWkxlqzivK6fjInJ3Rk+IZVOGkLmZiMqsVnQpGBpRLWsqU6mKS3Wwe/eC+v+6prSZ8cA9vB\n9sgmQO4bu2DLJuznXkCO6CAi1d0B00VN/DqySGYp5sgk1OyIRjdz9+66m8HklPaF9FZa6sYtqP11\nYi2WFQlskrkyRlenFixLemHn0/ivelicWsuW4iztRT1VD+DxzQepB57AyGaRchlWr6Rtf9RU7cPs\n74fDJ+vmiF3PhLMi4e59Tq+AOzu0Zrark87npwm/Mm6ppN0EyhVUrRr1bW2yorVPniJ38hROKo05\nsATnif3BXFXf/ArS9+2B0bFA22ytHES15erPTFc7xrefwgHM/t76tWxaj0qnKK5sJ7N6Cex8Wue2\n3Psc1hKdXcId6MHed0DPcypN5eZNYAjZp45Hxu2MjGBuXKfbzZawvXMb266EtH5VpaQFdtj/NDU8\nhTIEh3qOT/XCCWTdmiBwyXz4ychKXeX1x9le3Y/V1YFzxNNU53PYr78BAOvBJzC6u/X55klLcyFo\nJvZ+7p15fu6d+YbtKwaHTjRp3hAtqZT6q9C+8OrxW8CdImIqteDEMwmMRjcaiAZnqLlya3O1H5Vr\naq2nqlQiZMTIZDRJiQXKGNkMbqnUQG5QytPa1SLb6r8NxCQgSRAyT4Y082EtWLDN0waGx9FMcxmW\n8UY+X9c+qSjR0oE5ddO8ry2NW+b8337wjVsuRxfRgSnZbSBxqlLR2l3X0a46honYdmCml2ym7t/p\nny/cr/cquMUi1rKlqHKlHscQSqmk5sqomt2gZRUrhZHJBGZiZ3IKlIoEcTagSRR4WMMspgkpS58/\nROJb+vkqVdeUE9Neh87TYLb2CHXgztRqvOFTxcmwPz/+c+2dP6ztx41qK32CHrEUxsm5iJ7XeH8v\nARYH3VzEhNNNGfWIyJAG0chm4cYtAKhSDZmcipgiMnfX0w4YjzylfTn7epm5ooeO0kpUWx5n/0Gs\ndWtwettxdj9Dz86zON0F3L3PaTLipRoaDyWFd7rbyTx9LEgO7noEAgj8+iSfRWXSQTobIDCz+m1q\nr9mGMoiYtkETBZXN6DRMIxPaN891cfMZeOEYjuezaJ0eh5SFMzzS+mW86WrY8xzuzCxGJoO1bg0M\nT6HChMO2kRuvQj15IHjhJZ3GHj6HMdfo1O2TFWewHzdl1AliyG/KuHYLUixjDo/i9HeiQkTa3LQe\n54UXtYAtFvVL2MR/yD+X0d6uUz35xOpkk4ZrV2DYLtNXdlP4l8frx19/JTgK9dT+htW5e+OV2FkT\nM0zYprWQlUwG5Tj6GTg3gunWiSXD9UwRQSoqCFwmMs/C3I/dhPGWV5A/NglQz6AQeh5UrUp27zG9\nf/NKJEQ4jWuuAC9IzB46i7VGK/jsfQf0wsXbXn7bTeSPe0nzz02grLoWwO32/OiOn8RwXP0sGIJ5\n9Gwwl+7IqDatAc6q67UQ8AS8feQYVii6PggAewn8iRTqkkw78WhJ4Ciwzks6bCulpkXkT4Df89Jz\nbASOJWTzAuG6TclZ2FeugRhBnXT6ZCIESad1bkdPm+m/axHXl1JJEwKPSCi7Hgho9najajXcqWkw\nTf3h9j/8vtbMMeumXn/cnslduSogSH6qm2As4RyV82krPS0rTsjfNEakJGVFzh3x/wt3lc/jepHm\nRjbbaLZtNQ4RJJfTMjKV0q4HNbseAKiUrrDW5DgAI5vRJnnTRM2VI1le4tcaNu1HoFztDuA4oFyt\nPa1Wm5O3sI97My21Z15Huaiaqgd5nQ++1SykbY67QkCI4PmLlAtcOJ8vg4CvgfXdA8LXFLhfmGaQ\n11Ri3+DwNuXU3cX8hchLgUuVuy8lFi3hNCaLTX0Y3HIZa0j76NmnTmN2d+NMeHkIT57SxE659Yo4\nHR1INkv+Xx9n9m03IbZi7vrtOtegxxvsI8cwN6xFli1FeSlwrBXLSc/U1wW1nizWU42mWvPKjUil\nhn3kmNZAXrcJeSH6oBrZLM6oJix++iQjm0UKeaSzA/vIMdzhkeBhc0ZHMZb1YkyX4MQQTrUWrNSK\nVy8DgXwmFdHYSiajNQfVKvLCCRzXASwtBFqs4sKE0C2VtE/LhrWQSWO8eBzJZnAmpzC3bg4Cm9it\ntZHmwBJNYHwfxnVrsMMLg7INmQzm0iV6Bf3Ci8grrob9L9Y/Rl4i+KC0qGlCJo0aHceZmMBavbKe\nC7UJ/OCjDjbh3rAVo1RFSmUcEZyCRWrLJqjWcDvzmGMzWtP97BGsdApZswqV8z5uL5zC9ebOyGSg\nsx01XNfOWisHoVZD5so4N2/B2vdiIFzM/n7EMrGHzlK4z0vFtXalTm+1biluxsR65GktlG0bt1xB\nrViCMT5Drc0ijec/umwJMlVEeaVGjfZ23LGQG0hI65S9axeyYS0A9rlRTKUQkUCzCqC2b8NVKkgP\n5hAKMAiZ7bIvjuh52bzBeyhUQKjN9vbgI/KS+BOpgE9fLFpFS/4WMI6u63sW+GsROQpcDbzzks74\ng4hw0ERMQxROixT/GIerrugNZp1QhM3JjgOVSp0ghFxuVM0ONJ1hhImR4RPGOCkLBx55ASlh/0NJ\na2IUT4w+74fdS4MjphmUqvUjtJVLg5YqPu5WBEcH9liAhVvVbgRiGDrHpx+JbpqNJC7QPs7VAyd9\nNwSf/DZRGBi5nPajd90gtsHs6sSAoPpauH9cB6Ojvel7r2wbs6sTtziHqjUuLuLn1SczcYslz49T\nBxoFeVM9H0wx3Mi9iJOzgMT5Wm8/CKmm72ecqDaQvmaJ75toksPHxQmskU6BoQl9WBuv4rEl6XR9\nn+PUXfOaydEg8CikGCmXLyk7RASXLndfMixawjkv5vUTiSqP7avXkTqliWLb00OeBqiJtmZyOur7\nl0ljVuvO1Zmzs9qc2tcbKRPptGeRbBpzw1qcw0eRR/fqlyebqQvtdBojlYqYVZRtI46D2+E9iOGc\napvWw1xVmzQcN+J0nB0q4eZTyGTjA+5uXInUHOxCBmv/0SC90QVhdBxV0yYe8V6Yan+B+KMfTylU\nXdmN4ZtvOzqQ2RKO42hC50dlC3DlWqyxGewTp/V1eYngJZXCXt6Dm7NIFUuaJDtuSx/EyMeuWsPp\nLWCendAJ+rvaSJWqcE4H9RgpS/eFJ8R6unQapZFx/bLbnoZAKZzZItK+MnIuNTWtSZpXKWr6zVvI\nTNg6kbwhwSIF0wSlGLmlj54vHMJYuSTwwwX0tbgOlYECc1s66Xx+Jlh3Ss1GTc+iRscx+npwZmaC\n4KKFoGm6pkupNHQZoLg008480ZIfDbX55CWcIsElIvwc6gTYzQldEG0eSykkKStiBgePAIS1oWHf\n47A529dUogmGWFbwDijH0e43C9GehWCkUzp9Xq1aXxhfKBFoptnzr80jl4BHCB2d6cM0W6dgC9dy\nxwty8vNFihH0F4ZP0JUdLunmBVqF75lPtgyzLtfCl+ItKgKSVL+Q5rLEdcEwENPAKOQDF6jGtE0G\nSnn14P3FR8hkHvyG6Hkiz0H0mWjw93Vj2lqRepL24AJfIpI3n+/89xgLkbsP/keZBx8IuELnfG0v\nBd8Xid8fv/8Zdn1ba9icZgEhYXgPjLr5qiBq19y6GZmabZrc1n8450vWHtaymVduREplXXt7bFyr\nvpXCfuVWUjueCyKi7aPHtb/jYL9ejR08jizXFZGc7jxOziJzaDiSCN1ob0dtWoV6ImoK9tM7RS4z\nlJMy2JbPazN1bzdSrUHNxu3twH36ee1/Valg9nRTvm4tGELq/vkrSFhrV6NMAyancadmor5PloW5\nahDn9FBAas2uTpzp2UgaoPgcSiaDuWwAp78TmasF1Z3Mjg6kvU1rFUPCK0jWftPVGAeOIfkczvA5\nnej9OZ3Cyuzvj/hChs3PwdwUCkjKqq/uPRN//YJ08np6uyit6ST/2AsNc24tW4oqlnBmZhqEq7V6\nJc6ZYYzOdqZfuyFi4veT2QdzceVGVCYVcRXx5yCoL++ncoq5BDR7FszeHhDBGR0LfECdQ0cazhsZ\n70pdW9c+eSpSDMDs7UEN6ufU3XeAW370Bm55m84B/Nb3vOGSEr9ffU1aff2eplXTmmLTyqEk8fvL\ngPmKboQxbwLv+P5m0dtNSEqgUQ1psQLNVNx8HfPHC7Z5Ee5GPq81a7OzgcuMLgHZOv9nJNVai8T0\nRqGAqtYCH9JmfqDNIp6bXmf4vHZtQQtAo709IIoBSfVTDIkgnR0NCgHfhB/4eZqmtsjFNai+VjqV\nrrs1xPpBBMnnoaIJ/IKsHyKe6b0WqVLlE/Gm54sl2Y+TdiOfJ0inFPLbj/jCzhPI1PJeh1Myeem+\nRAR3rhwZo6TSQcYAt1gMxhBcU5PsCA3HxMbju2Dc/MarArl7qYnfF5PcXbSE8+DBIfWBKz/YdJ/v\nX2Tksnplt3qF1k4dOBT5kIbbV2+9JkKwqm9+BbU2g/Z/f3b+F8YwvbKFMw0f+kj05Su3YY0VcQ4e\nxrjmCmRoDGdkBGvdGmoDnfXa5g0XI5jr1zREyltLB6huWEZqQpcplIlpVE2b1psF4iwUcz92kw5M\n8mBu3oCUK5os9XRFBJW1djW4LvbxkzoYxTCwjx6P9NdAgLySXG6x2PBBslYO4vR1olIG1skRlO3g\njIxod4B8PlKdyO8rSCPS3Y0zNa3NTDdvodaZIne6iPv0wZbag8jxXjlS7YIRPY9RKCDLluAcPoq5\ncR3iuDo4bWx8fnPbTVfXU2DFrjWsCVfbt4GgK0uNjCDXbcUoluHcKJUbNmA9+ETIRFWtX29onPKK\nq8F1G6otgUeE5+ZwJqe0vy6gRsdx58pUb70GJZCeqmId0+TTPjvc9GMdjL1X16kPZ1SQVJr7K199\nArhoQXTVNWn1L3fPL/i+9R9lHnpAz+Md/zB3WCl10QQ3wcXhhT0vqkhlHU+bpdPThJ6XFhVxjPZ2\n3NnZpj51cYhlaX9Cz8zd4DvaLKWNYWJ2dzbN+HFenKc6kB5UPedn2AdRUul6pLk/L02CeoLrorW5\nPtDa+n2IEZQ/dMsV7Sva5Piwb5/y8j0qpbSbga8FbpJSx8hmUY6L0VbAmdQ+5kEe0vj8eISzKdn2\nTMNiWQsKuNGNW1R7gmh5z/gxTar/RJQePkl1HP2stSDs/hwFrhS+u0Wl0rrGfOy8PhoDqEL3Oeav\n2mzREaloF7+emO+t/659etdtbLpx/UUTzoXI3TCuWHX5CGfzcMTvN5yHNKtalczZaC3oaodJqc9o\nWrYx8tM0tTYzRKp8DVq8CoPdW9APmmEgbfrFVMUSMs/4xEpp06/f99rV+j+ZNCpl4BTSyMQ0GAbO\n+OS8ZNPctB5rxfIm57Cwli3VxCr+XlkmbnsBc8XSxso7tZBPycgY7vAIcahaTKC6oRVvKhVtOzeH\nOTSKeegUzvgEyn/x/A+OtwquHxAyBJhaIJsD/RiPPUP+hTGMiRnMzo6Ir09g8vHG4l+/b1pzJiYa\nXmyUQnyn7tkSzmmdGP98Ttvi1IMrpLMjyLUJwED9BTdsFxQ62X42i5vzhFS1RvrR/ZgDS5DODq+x\nGYwzcq6agzEdy5fnwV7ZjxpcxtTP3YJKWaiU/hiYXpS8KBrN65dapegi4SDz/r32jTn+4GPd/MHH\nugEuqbJRgpcH4uXHXFDZSjEglH6uIT1Nk0AeSVkXb/o8X2BQeFzev2J5eS9r1ej4WpDNIHI59o4F\nckpiZlw/KjtkCm9Zpcg3m/vj83w9MfV3B9MMXJgiMIzApzVIvdTE7Cum2ZjsPLw/k7m4CkNKuxNF\n5LO/KzaHRj7fdF7j7hDBb/FM9plM/bnwgp78/uuVlryxOCGzfRNo/9DQHLSYj9iFhDTpiytO8Xxy\nN/x3ObFofThlpr7ystauxunr0EJsz7PI1g365tYc1AtHcEPBM63M4iodvdS2r+2kDSKmWd0w9vC3\naX9Pc9N6sExwXJyOHAyd1ebzFcuxT59BHtunc5m5Du7e53AB99XXwSNPgZ9MvK8XerthdFz7LJ4d\nRtWqFN98Ldm7dgXnN666AjV0jvQzJZzRMWy0xjOSh9Jb6frRcb5Wyo2t+n0zrT08Aq5D/oGnMVYO\nas3l6TNBMFBc9IRdDMyBJbirBjAOn4LYijhM2I329qCyjTE6RW11f6QuPQN9qNGJegoOP2luLgs1\nG2twBfbJU1iDKzRRz+cCgh1kByiV9FzMlponWt+8FrwMAr721RxYou/d5CR+pKJvFsMQHTB1vKSj\n9k+ea9D6BVqY2Hb15HNIWldWcobPRSK5/Xk18nmMc5Nw9pz2XaqBPLYvkmrKHFyGEqH62qu1X2gM\n5sASnHBA1lVXBK4IkslQ7s+SnjDo/OpO7B+6Fmt4Ss/lqdOkvPmTG7ZCLht8ZMKZHcwrNkQC0OjR\nCecJP0vbNjXO9QVCwWUXaAleGoRzZPpo0G62yO3XYKmYD4b22/NzQAYV5by8kMF4QpokVamcNw1a\nxGQd08T67kUNpvDgQuspl8SQxkTi/r+GSSA5w/k44/6D/qH+NjG0b2g4EMbwqv94vpiqVm2eIrRa\n02mPXBdl17SZFzA8k6+RTunKaC00hm4ooKihQo8XOAlabsVdFYJKT6aBW5xrWds8Ai/pvZgGbrUW\nMX8HEd6mGYmhbhaE5EfCR+bEdYLfQQ7T0D4fqlKJxmiH709IKRGONA+nOGrp6mCYEd9ifz6COfHT\ngLVwPQmS/vs+q7FgtpcKi0nuLlrCGXF8rtnwlCYR1orl2FlPYxVKTQT6htvbt2qNoqNIHx7CPjcK\nrsPJH+5gMOSyaK1ZhdPbjoxF/SABRt+7nY5jNfKHRhl5zTKsOUVutIb1oCYDZlcnsmI5qlKJaBx9\nAWlsuxI3Y2E88lTEN8UZHcPs7cZdtQzjaJ0YZ8bqL62yTNxnn9eRywN94BEtO6Z9dL3qN1RrOmnw\nbBEjlDzdR2D28B5qt1zG9Yik+9rrSD19rOEDYW7eEKTaMft6cYbPYRmG9ueMTLhgrVjO3BVLSU9V\nkRPDATGSrk7MmfZIOUolEpiNwlDlCkZXJ45HIINa9IZoE/dMEfvssC63iTYJmxvWRqr3BEM6USeh\nzuSUXm0aBjgu7muuJfXcKVS5jAz0oU6eQVUqWGtX6xKWM+VIqibfN1TZNmZnB06zyFi/IkrIjBU2\nlbilEu7JCua6VYjjNrgkAKi2HHLyLKlDR5BUWs/F2Djm+tU4h440aJ7dZ59HvXIbld4MhQMj4KLd\nOQBz7yGc0IfaWrMKNVem1pbGOD4Lvd31DAMQuKJE+j9aT39pXHWF/nfo0ov16ATE/zmMKv+pISGS\n1VCFJ2oqDpvAG/Y1SUDesM2tRxcHC0HbbtDS+eUT/YCWyNj8ErYh371ovkM36COcoqZpAFHILGrk\n86iaraOnfV4ZJlm+hrNJYYuW8Pp3KxVPI2cEJl1Jpz1tpdd9M6Lj5530SnoGLl0V7Z/plh3MdLqB\nZPv+h/MRGp0qSl+PpNMQkiOqUkGJYPZ0160jC7GSuA66QFhKnz/kFwngFktetH5ofpqM8XxlMwPS\n58neIIL9PH6xvpuEsm3U7GyT/br0ZuD/Sijbh+OiavW8r8ST33upmiLpxMLfZy9Izg8INtraGuIy\nXgosJrm7OEZxoZjnQffN105ea6X8h2TFQ1HTuXv2HMZsBTXb6L+ZmlVYRRuqNaodgjLByRiBsJBs\nVpOYuKO4B6cQ9fkIgn+6u2FsAuPMiE7c64/5sbp/p+/LKYV8aBWNFoDbroxeazYLponRVtCCoLcr\nYtYN+540Q8tyhY6DTM3Wx4EOwFFNSqChFE7ORKp2RLvqTE5hzITam5pIq4mpoDRk0E2lgmrLY6zR\n2lE/RRMiOkDL91mq1hMoO4ePooqlwCwfnDfun5nPay2KCFNrs7iDS2DdIOrUkJ63jg78ZMlOZ47y\nulCt9HBfrsL0zd5oIm62tzfUGjYHlgQVT8B3ZxhAXAXlCubmDUE5teqbbsTcuhmd97ButnNGtDba\nefE4Znc3Zldj0ODU+jyF50dxDh8lVbK1BhciGgzQJVSd4XOkntIBUlKunPdDYWxeH2j2X0ooBAdj\nwX8JXmZcQnWSoMZ2Q5eNBMqvtBN8tAmZWUXqZPM8EeZuubm2LXhHfXI7n3lUjAhB8cmIP5agUk9Y\ndl6IVkrF/AVdff2anHhm3HDEdfxw29aavjghT6f1/Ino64sfH47gboXzaGhROuNIvCTjvAgIvBu9\n9lqtvqi41IjuyL2IJYIPPUdB81YuAfH7aJj1PKdhpFKNhQsg4n6xoGFbqci3oqkrxEuAxSR3XxYN\np4isR9dEfhJdD3lMKfWHkUahyQ9rsNyxcTgzFPwO17BWlQqp0RJTW7pou+PxaGL1w2egvx+1vA93\n3wFNMJrkd7SWDtD51Z0YhQJ2scjAp07rgJlqDVYsxz51GvvsMNM/ews9Dx0DP+p53SpdHebsMOaT\nBxtV6IYJpvbDNPt7YaAP08u9pmwHutqRmh3UWG9mLhbb1cnV56p67I4TECyzvzeSkNzs6IAVAzjt\nWayRadyh4YYxpXY9j+OtHI1rroAXT+IWi6hTQ0i/9v+zj9czrsdXmUY+D5k0+QefxejphoEluH2d\nKMNADp8ItHlmVyezr9tM2/5RnENHIn6afhLm8L3wNRHO6JgOiKl4Zp6OdjA6cScmdQ60FQNgCiba\n5G729yP5LPbxkxiFgh6TbaNKZahV6f7iDsxlS7VWIZsJgg4Mx9FRl7ueibwQgaYmkwny3vnBQM7o\nGNbSARwvCtxfnbrjk4EgstauhrkyzrlRVK2qNSaj4xhrV2Iu7Weuz8Kw20jvfB61egWcHUZu2BoE\nBpkb1+LmMxhnRoKsBOPv3k7Xi2X6HjgaPCOp50/jrB7wbpITmCPN7m4q163D+tYTQUUSK5WKmiP9\nOb9ua716lO0guRyVV25CmUJuqBQQ2kuFqxaHaecHEQuSu9BIisK7YhG34Y9ueF/LSimxfsOmSyOX\nCvJ7BqTQc4FRzfrwtUlBoEuo5naQENyoazS9nJ9GW5unuWwRbOifxk9Ejx9g4pGJeDR1i+CpAE20\ndpFqRX5mFZ/IGcZ5/ceDijRe/265gqQs7dOezSKzxcjcmt2dqLnyvJrCIEuGSEN8gm8ad73qQwvR\n6IbTWQWaad/SVqngB0xFvkvxQKFQrs0gA0E8yEcMwMWv7R505Vei8voNTN7hZ9g0vGfNs5oaop8N\nUwcWRaLdPTTTQjZPkK9dM/zcqspxMQo5XO/eqFoVZ/ICyPslYLHI3ZfLpN4D/KNS6hsAIvKciNyt\nlGqafyPsA+FcvzmqERyf0P5pgHpiP87+g7R5302zvx/JpFGVeulD03U0UVjWh1irsNtSmA89qc+T\nz2u/yh+6llraYGZlhq4v7UBNTVPbtg7jkaeD83b8/c6A0EomE4ky98cajlQ22wrUrlyF8cgYIoK9\n/6BO9VPSqYHMWhXH07bG/Zd8yFwFZ/+x+oZsRmu/TBPHM8f6EX9+wvd4uqdI6p2OdqRQ0Jra0+cC\nU6xbLqPOngsEhNnVGWjOwqYqt1TCPXIMuWErrqN0mp/TZwLTlk9inMkp8t98Esd70cNCL/Dj9Ext\nfgJymZ7FLWkC7wsh3w81wPHTGH09uq58Po8ql4P77BaLGD3d+hhvdW0NrtDmet/87Zs8ikUoFoP0\nF+HoSyObpfrKrZhlG3PfYZzRsSDFEqHa60Znhy7jFxI8PuGuvulG0vftCa7bT8eU3dBD9sURHNvG\nfe4F7UMaSsbvk3BZOUjtihXU2ix6Pr9DlyX1yfCNVyFD45gTRaq3Xk+lO0V60ib1nX04ExMc+y8p\nlvbeTNs/7/J8nqLaBN+H2ajagV+pc/AwRj5P5p7d1H74Rq3F7r/01GwL8SX67gMlHn0weD4uWz64\nH1BckNydF62q0IQQSU8DQUSw4aeFCRONcLChcjEy+fOXUw0lKYeobArIoSFRjZxSdT+9Zh/hmGYw\nUr4wfr2+H2ssgr6BjMWilDGMOrFGa1GNTCYI/BHTgHksyKpS8XJ1GtGofsfLY+mZxMN+iu7U9Pwk\nVkSne/MrNcXbekFN5/XZDEfvm6Y3HlrMidvaj9Zv5jiAl6bJjWm5464V8YJifkS6757nzU39/PUF\nT3wMQX5k3wUktLAJLtUjsPG0fJHpsFKaqPuyf7IapOsK/JW935crd+cPvA+nUmp3bJMBRBlWyBxj\n9Pbg+sEPIbJp+bWiU3XtS/ltN2FUXdL37Wl4CMwNa5lb34thK1Lf3qdzSYaEnrF0CYZS2I/uxQS6\n0ARNVWuknnqRiZ96BdNrDQb/+DGtaaw5OPsPxgSdR5w8shnkbpyexnjkKWo/fCPm6Rld7nDXM4GP\noztXDvKiucWi9gN9+vnAp8ZasRxlGpR+/GYKx2eR/S9iHz2uyY/3QvlBKeEXoCGIaklvUHlIleYa\nUltY69boutyHj+pAJMuKpkoKaZT1BQsqVM8etGnLHFiCnJuAwRU4I6OoalX7E2bSMDzSkGLKf+Hj\nmk5j1QqcQ0cwN6xFnRnWQUODK3CGRzDaCihvFapcVRcsHuLXHvH19LSo4Q+i/yHyiZ/Z3Y07M0Pq\n0WcxvDyhbrFeAWvsHVvo9ZLd26dOB/6X9HXhHDiky8/l8+T2noDNG2ByOjKXmXt269Krmzfo69jz\nrArQXqcAACAASURBVHaJEGHilYN03XcAxMA+dRrj5Cn8N0LZtg6E6urg3LXttPXnSE9VMR96El93\nrNDP4hV/dkJ/4LZuxpiaxT49FHk+ysvbyTobcPYfpPaGG7DmHOTRvagr18IT+0ndvwcFjP3ydi4d\ngnMeX6Ltr29j++vbALjzH2aSKPWXEAuSu8Ge86QPWogZ2XWDYAxVrQZy0q3S1Jc7OK8YLZOeN82X\n6G3HkLpPo6fNFK8YQ8M1Ba5KOnLardb0dqWCPJd1AhwK/vB9L/HM/l5ez6DK0vkImTcesawgYMpI\np4ISlzgOinnMsh7JVXZNl4L0YgRAywVnehqziSuD5HIYnq9/K22cP4+STnn12CuR+290dbYkVpF+\nVOMCAGhKOud1k/A1w60WN35/LcqM6uuJpvKK5GKV+dPpqZBvsK+kCNxE3HqZTGdkpEHbb3Z0BDlK\nfe2s1hDP4c7NhRZEZqSmfDAEz39Y2TXCVeYuDueXu48+UOSxBwNRcNkW+i970JCI/FfgPqXU8+Ht\nS5Z3ccfw7QAUZysUxzQxuvuzD3DPZx9o7GgBDswyVyE1ayM1XS9b5TIQ0kzax04Gq28fzswM1Tfd\nSObBfVhlRdspb2Vk1X19IqWwwmUaAbIZ1EAPeME02SNjSLyCg6FXghFtQK0e/Wb2dAdkqT1lITMl\n3FQKyuXm9cib+P+YHR24lYouneg3C72cfrS9ssz6+PySdCHU1gwgIcLZNNee62iTjOui5ubqH5qR\nMW91fx4HcH98lQoy660Mwxrk8YlIveJ66boUqtbQTX0OentwJqa01nb5Uq3tOHYiIqjMrk5qWQsr\nn0c62mC26FUtMXFGtQnejwDv2zsbIdqB/+VanTbL7O+DTBoqVezuPEbGQmK5Pc3ublTGQua88qyD\nvRhzNdKzTkDKm2q8KxVkepae5wqkjg6jCrlAQ+kHBSnb86tNpZBcBuV9QE79/EZW/E0Rt1TSUfG9\nPZj9/dQMQQn86K++mR957xuhWqPQmafQVUBlLYBVC7pxLaB1Golv5mJAK7kLsGRVH3cM/S0Axcki\nxSn9DraUvfNA2bYu+xf2ofN8Flsf1FhhLMiBWb8Ar1xhvRY3ce4SJzQhuag1azWvmQqqIgEtNU2u\nX7/dJwBeLfH66dR5iXgDCTOk3l+YHM+HIL2P9kcVCZWAdFU0tsA/xCNX59NK68hpgarRQBDdiYm6\nVrdZvks/0X6x1LJNaEBEIvubDmaBvrHxfJdh8hZPTWWaKP9BEaNRKwrNx+TdI1WzMQp5xDQi5nBJ\nWfUk8la0pCqGWa8o5QeZNTnXj7znDbz1PW8ACORu5LouEguRu9vf0M72N+hArrv+8fIt9F9Wwiki\ntwK3Ah+O7zt37Bzvf8VvBr99vz+jvxfjqisQpXCPeRqsnXVTd2HXMehoa5A9gE5f5EeVLx3A7daa\nFHPLJirL2kmPlnD3HcBat4bq8i6M7+5FTJPMSAmu2Ujb0RnEMz2qPc+iaKxy44/V12QpywTbeyFu\nuQYnNFYf1kA/+Gam0XHcYjGSqimc4Di8XSyraeWlptt8raZfEx2t0ZPrtmJOzsJcGWv1SlTKgpKX\nHzOfawgUskZndDT0wBLdx/J+rHM6p2Z4nHHtqdHeroOcbP3C4tXUVbYdEO1wLXDwzP8jo4FLhdnb\nA4aJMzqK2d/f4OcamOhEtIbY68u/R5F57Oug0pMhr5ROdTUyqv17ajapAydwvFRJavs2ZMe+yGJg\n+qZBciv7IJTM3+zqhFQaVSohE0WKP3oTufv2ahJcrcHQWfDqqQfH9PXqOTkzgjvl+QXtfBoXKEyu\nDFw2jK7OCOE0t2xCGXrBI4/tI/55cYbPaQ37hhUYXrL3yW19tP+rNvEP7J5D2tuCFFfOxBTWsgFy\nh0ZQE5Pc/d293P3X9zaY+P/DveMEl4jFYtr5QcZ8chfg3IlR3n/zb+sf4cDFsDnR1+iEK7zE0r+4\noYpBEPLpA53ep1lycdcBM91YhcU0kHQqonX0o5HDQT0NiEUvB5tDacHi6WjCVWOawZcFDUGZbqPZ\ntWE4flU5f66Met5Mt1QCpYJsHE0jtl0nVLTBCfxbgwTmygXlNgTGLKikp5/CyLKaKwVME1x7XgIk\ngVa5ifbQXyR4fp1iSjPdSKuOG8/rb2uR7B1Dl+4MKyFUKAjI9N2g4j6hvhne89WN+L26judHGh14\nxE3MtqOlWF0HSRcCv2Q/G0Hk2Vcu93z2Ae65/aH6eTx8etdtdC25NKXjYpG7LxvhFJG3Aq8GPgQs\nE5HVSqkdQQOldLAOOnDFj0CUYgn3xKmgTfwFd4bPBXkvfZgb1jL6qqV0f1F3b27ZhGsYmKPT2GgS\nZz0HeGYR+8gxDC/+Rtk2eEEczV4zVSpF08wQFUju0RP1yMydT2Nu0fkM1ckh3JmZQLNo9vbA0n7U\nmealCP1x+8f5Y/NN9+FSl3HhamSzSFsBaW9j6vqlkbKLxokh7BYVO9T0jI7ODl2fH5gkloV9ZgiG\nz2F7v82ODtTaFRjTpcB/0c9hSa2GcrXPDqtXBHkkdSPtSymzmtz6AtctlYLgA7NDO8OrXAZGRlqa\ndszNG2B4BBmbRrq7wZAg2txauxr72Amtodz9DNlCAbV8ACam6lpYz5/Tn1fZsU+TyRC5z3/9cYxt\nV1K79XrSe4/iTEzoFEz+vB86QmF6Fqemo0mtVSuwj51oiKJ1xsbxfUtlxRLMqWI9aOz4yeCj56fe\n8v1xnede0B8Y08R91bUY390bzJu7ZjlSc1CHj8HOpwMy2nnfHGrLBoy5KtbhIbAsrNUrGXndIN1/\ntwP79JngI2gtHYBMGjtENid/4dJN6kqd37ST4PLivHLXR7Ochl6FFr0t6j8JNAZKhiOEPUuE2duD\nMz4Byvvoexkrwotkn8gaXr7JSCaIEBEMxuJX7JmP6IUIZsSn0k9NVItp/5qZaH3tlPfdUXZNRxqH\nq8dkMvXApXmg/LRLft5N/xoEnKlpLUt9f9MY4Zd0WmssRYLzGm1eXmFPk+ZMjsdPqOVsiwpCgcm3\nXIGK2zCXRjaLpNO40PL6zpu6SLwUUL5LgYQyv1ipgOABjaU+w1kL0iF/TiFwSaiPNdN8LF4mAFXT\naezU3FzzKkMhc3rD8SE3rHA8RKRZvISqYUbahYPggopyMX/kVvfpYrCY5O7LMgoRuQH4J+AW4CHg\nG8Dmy3hC3PCC1XFRuRQq61WJ8VaDkss1OXh+KNtGWvhYBCmRwg9vzdbnn5sL0liYHR1IRzsyW5r3\nIXOee6ExQq5br3wkUxfKkbxm6A+BOzWDffQ4HQdiSZljK+FIKhNXgWVFrs9P3WEPDUeEse8/5O47\ngDs0HNmuKhUtELyUGsZE7CX1tRXlan1McWf/dEq/8GUvWrGVBmJ0HGdyCvvkKS0YavVoWTWjayqr\nublgnqQazdPmV9KQjnZNvMLbvbkxCv8/e28eY0mS3of9IiIz31Xv1X10VfU53dPTc/UcuzuzS664\nXC20hGgLWtqkYQMSDMoGBRqQKcPyDcMwRICQJUg0TcsyYEMQINk8RJrmLskluccs6Z37Pvvu6a7u\nuq/36t0ZEf7ji4iMzJevqnp6drdM9wc0pqbqvczIK/KL7/sdFahSCNZXKYkV3e9B1GoEX1gkeSUx\nUnGaptmJLTh9kibcMIAOBSXToIosv3gBWVcUNUlySlb0X3e7EM1k+c4KETrzZeiCSF5E1apr8ahi\niHiqCpSKdC66PUx/+7bbppu0gwDo9Z1NJgAUt+5fskMD6EMc+t+D+HTjhz7v2hioTCXziW53qIuS\nrU4qSaTGkcpgW9z800a8fT9W/UFj0VqTtFypeKCMnP99ggUYgg/nNDfsBxPIhHUHchJHWhuB9ITk\nYpnijDNndQkg1fJ32qf9GNZfPQ9epqWpzA15v/BSkTDnUZi6PmYgtI0cfdR7iqzLE2fpe8FUiFO2\nnwMHYlQL/OMwVVm3m3a+I5uVdbJYXdXppOFnVpLKJObZYFFEOYL5TFaCzu2mH6fuWbafDNeQYNHh\n5ZUOiqM07/6oSEOvAxg56HNyJakasmcfpR9uroA9RT/rN98HEwLcuuycmHGSMn7lB1GI2W/fpWqP\n1Xa8dBUSwM7f+DzWP6Nx4o8kCt98Iz0ALtD9qWcQ7fRSZCU/2n/lIpGUllfI2aa+Z/AclGha7CQ3\n2ou+dBGQEFm478UKoPvTn0VzJsDMd+8O+pebVZGYnnbbU7sNwqU29lLtUhsOX9JMP4xydY0qmGvr\nNOlFkWsx5TmGWJyO3N4mIpNppbMgoFZMp0Mr0F4f4sJZxKNFaM4QXV2G7vcBpamia8+HWfmJyQnE\nd+4SaalUIBmqzS0ExxeBMCBymD3+2RlAaVfltOxz1elCbm0771wxM50mDtmqgpFZkju7iayVIQUB\nVFFU5SLksTGwlVWocyegIgF25y6CuVno2ghYV4K/9A50uQzx2HnnLORWsuY+dGoBiwtQG5uplXh8\n/SbdH8ur0Dc+djAQdWoO8UiIyDgl8YsXwHebiA1EQHU65MZULgK3lt339GgVcZHj9ldHsWh4x4wx\nKCtR8+p7YFqTc9Xpk6n7Sj9xDsHtNVJpaLchN7cQzM2i9TPPoXppB8WvvzJwL9x7HJ2V9v8f47Dz\nrh+plrWS0L0EL5eqwgwR7M5G1v/clwYS1Ury/HBBChVm2yyKEmFy//vDqmrZ8WT+3yVqnjMMEY/y\nPbBTwROfdS0VVRZ9prypBLMgGJDhceO2HbsgTBbWxlOdhWmf8gEJJoAW5L5eppSO+MRNApaSCDLC\n7cNC7uw6kqPOQCGgNWlP+rhEP8xnebmcHJd1aMo753Y+sk5L0ns/paAByf7zTATsOVPtjjv/vFo1\nGNI8noTM8WxPcJz22F1LPAslkTJV8Bl276fktix20zNDoGHTMapWK+FX+AowQ5LZTxZHZ979kZOG\n9gt7AcTUJKQwq72RMsRuE9Aa8eeegH7l3aS9urFBn5+dgXjnehrHaR+EZx6FbpCeomrsYeRuDzv1\nCKXbDfBjs2mvciVR/NY7w6UgGEPl0ib6x0zytLMLcfZ0iuBiJw65vj7gc84ffwS80UT88e0EV2Ja\nuYVvvIoCMIDPA0jcXJw/m2Z0C+40IMXp42D254cfgrx8zUn+6FZyI4tHHwY2d6B2dt0D47flealI\nrEfT4maVMiV/Nz52gulOqNnT3ZN7TXq4L10Di2OENjH1mOnZVoTc3KKxXv84NbGo9Q1icBo7R2aq\nb35lMV66A/bZJyD2OpAfXXWTiraTA2MQ1SolUQvzxEDNVIpZpUxVvyhEcOoEsLENvi0ggwD61XfB\nzLWJV1YRhCFErw9ZMK2b9y8lxB7GwEulFKyCPJg12IkF4PI18HIZrFCAOjUP3LwL+cx5tGeLKP/u\nywhOn0RjoYSwLtH6sYdRvroN+faHA9ajbqFiHDsAgLU6qH7jbYy+NJHcN955EtUqZL2O4PRJNC/M\noDgxAv36+5S83lpFvLoG9RNPAy+8SftYWUVx7ZhLpu83DgNef+Vbu3j1W+7eeCCL9KMKW9Wy7ilA\nqm09QGS7T2IDlEzPCQNtzoTY43QNs1qf5tlzOD0/6chgUbPfA+DYxAdJ//h6n64ljqTqCa2oytXt\nDhUZt3aPtA2PvKIVVLvt2u15TG8mBOHF63tJNTAMwQGyeDTjSu3P17PMc4Ayx51NfNzfer3hgu9W\nYsjqczIGrTiypBw7Jp9ZPzAWxknGAEjB5VI2oN65MBtO9pFh1iebzeBFbZLof9ZqfPrb9pL03DF4\nx+9/zu3GettbrdggIJIaMSHIptXKI1WrrvumlZdk30PlPC+OElnzaIzioHD4hjSegw2Z4/TsREqe\nQt+6i9hUIOOa8aHtkkxH8K3X8dD/sUkuOB5BRtRqENPT+08+WoN1ewiX64nd1T4YTF1OM8q7cxX0\n56k6q+M+yVFkJC38hCK7bz9Up0Or6jACVtbd6qv10ASV/xsNmtD9VVTFCOl2ScYomJtN3dz2HPYf\nOwl1dhFqopq0y7mVrMi5hVQyGdNnOU0EB4ReXht8mE17SY1E4BcvUOt+e3vgIexXI0CmmZEuwdWJ\nh7AuFaBHyhgIziHrdcKSdbpQM+MD10ueMQuGMIAOA4jxseTrpjpK8ACvsmBXwYUIqlIEe/YxIntt\nb0OHnM5/yNEbofOoamUU13soXl9H+frOwDDF7EzKs51PJ65NeqQE1esTHvOpR4mE5TtpmXMZ3/gY\nhT94Fd1pcx4YoyQeAIt1yq3KdQk+pZCa7fvv2S+P4W//8gn87V8+AQAPZJH+IodNAP1neQjxJyXi\nbd8DjKehNXYuysPlARjKUDkEu3zo9yzmTogk2fRa2vuRdbTW0FINyLlR0qUGxddteItI6ix51Ufb\n5s/KAwUB+NgoJY85LXfrVOT2mWJS6/19vk2L2R2r1rnn2p0jUEKllR6Qv2K+XFZWE/UQ7fxhkIHD\nkab44LXIhhD7EsoG9muO08EkigVwD57lh108WBieu06fAt/noHnX//eDjCNd4XQxNYHWPOErq80e\n9DVqBeqsL7W9eS/fTJenjSwHKxYRfbAEubqWYG60dsxv59rjVQ+D44vQjUaqOicunAOW1wgraJx4\ngsUFqKU7Q1s8wdws5Gg60Sl9tOLkbMRoDQgjV2EVZ08DjSb5mBsZHhZGEHMzNJ7L18gDfLTi9ECd\nuOzmlgMuF/4wLb3HalWg0aAWyI275K09MwncXYVemCN9UCDlssD//C1o0EpJ1GpApwPd6YKVSoQd\ndU4fEfiZE3ROL1+DePRhEqu/swwxPwflXS9x/ix0KXJMchYEYLNTEFEIublFFdkohNqtQ0xOQL97\nLVVR8UkGolYDvv06pNkOHx9PkYrE5AS5Mu30oG7eHkySuSBMqt325jb0yuDCQXy8CrYwD72xBa01\nZLPlNPzilVWIqUnobg/MHENwfBHo0998SIC+eAGiPwf56nuQWoO/8CZs6qre/hAMVNnm1SrQ70P+\n5DPOnMCSt8TDD0Evr6W263uiq7c+oLa5l8DL7W0HdGeFAgrfeQcaiV5pcPokcHfbVU/VF58mpYYg\nJH3R+wxrsfYg/j8QGVwzgPScmmNMcU/BmFehSkvF8GIRrFggVxvnW66Tao9WADf6ira1b7F5pqLk\nVypTBBQt9yXOQGmntzkswfIrl7Y1aiuSlmlOB5JofeaG9BbmGakc1cn/Dq9WTdJjCCwWq10uuwKB\nljnJXqkEFhgh9kwix8LI62yVDw2PcOFUCERCtrHn2rTIXZuZE0GKRyHBEez1tYS0/j66dkBynoYx\n1vcbY8oCMw0BgJL52M9s9fIgndVs2OKL0X6Vu3Unds8rlZQAvHSyUzL13UN51u8TR2nePdIJp60a\nYqeO8u9QAihBL1toDVy5jtbXnkP5d19OfW8ApwFQC94kEeKx89A3boMZO8JssGbb3cADwunwXuw+\nQz4Q7jvi/Flyk/FuVtuK1efPQl2/Bd3vIV6643yys0LoaDSBbhe8WkU8P4EgCml7/ZgwQ0AKg+fY\nbkjj83z2OgDI9Q2IR86CtTqIP74NEcdAEEAvHgNbSixDtSSLRGgNPj3pEmtWq4IbqQi1vELJnmt7\n9F2izstlsHoTulqGODYLHYXESB2rgbW7iC9dTa3ydBxDFwvQu2TByEdrQBSC9fpgtarDfonJiUEc\nmJfk83OnU4kXAOh2x+2LrC0ZEEsgEHRcZvxiehpshFrrNqENzpyCWl0nqar1TYiRCiXt3R7QaED1\nknaNnwTzYhHxnWVAK4jzZ4mcpBTij2+DxSpVjQ1OUZLu24jKLz1DrW2tIb77Ji18duvUEj95HGp5\nzV1X516SWexksb/B8UXoahmonYLOyHPxSoWgEuPjkD/5DJjSiG5vIzaELrU4g08j1BHBEj2I/cNP\nMvNesimsHXDvFcLs530CotZQ9b0hVUqdkDv9lq21TLSJk/FmJzMMTy/RtIcdk9gmqgB1G+IY0MHB\nDjhxTBXBkMTmHfHHMKidCP2QapgTi+fU5XD7BgYSo1QolUCZfA1Q3+87J2nTcQx0YGBS6WSbCe6k\ng/Jwsq6btV9YcfYM7tERNn1uThgQJrSTvJeYS6CzOqXe9rKLIP+c7YO35VFI1eR9ksWBVvkw44OD\nbEyHhH2XOjF3UFdMNfaMDFUztUhKvbc/AekoG0dl3j2yCaeulRMs3rOPIJgad9VIaw0YLC4Q7u0Y\nCW3LhSmnG5i6eAb/Z0O+f8lhWixg1yeYyNX1AfxJcGwOujZCjjB2W0q6Cig4YVb4xfNgG7u5D0B8\newnB3Cz4uVOUdN34GLK+N/C5YGGeEthiAeruKvg7VxBbzbYhN7vcofYrr1aBDq3AxdQkYlsRu3CO\n9nnzFnBnFdqy4OZngViC77WgFo85Eo3ux+ClInSvn0qEbPVLjI/TpBcGVBkDANPOBQBWqaSTdbsC\n3dikSmilAiumy6KIANnmvLpt92liVWsbyXFubhFec32XrkWtBHF302lyZpNNeyyq1SKMTKcLViwg\nXl6FeOgkxLkzCZFLK8i7K9DdLnmxj41CVUtQ16maI0YqVHUxOEi2+JiRMrqd2h8vFsHHx8C1Juyq\nh7XF557A3rESgqZEaKCRam1jIFkU332DNFI3dilR9VyS9Pauu75yYxPs9HEglug+PInCN7JmMmZ7\n588i9sYhajWw0Rri20u0AAsFRLMDbGwj+LN3oOM4hR92Puv3ERo4MivtB7F/WDedrL1kykrR/3xG\ng/N+QpuFNvr93G3qdpvmDFNZhBBUEfUW1pRY9pOEQyoP25lJPrhIET0sLjOrIQoglZTYBMsmDE6y\nxxzDQcmJOzbfKQfYN7nzW84pwxHveqjeYMLJopAKC3uZyq4hPrmfP4kUjz9+i1Mcpq+pVcp1yn5/\nAI8LJPJH/pisxJZnOTp0TMZ2dFi1WLVabuGk49iRTYd5xdtFioUm2UXDQckskCbH2esbr6zCSgKC\nZ2xDpaSiTRR+ChXOg+fdN761jTe+4yBcf3GdhoZFpVLAL/2zXwAAvHh1E699Y1AwPRv89pojClmG\nIADEY8WB0209WoEidLebeqHzEcLIqbOL0K9/QHiKERIr5/04ReCIFyYgPqiTi46SpIHYHc7c1K02\nWLnkfi9qI6nqJi+XgUCQALuR67CtEl4q5raybAtK7uySmLsFiI+UgTVKnNX1W9BPnwcfrUBf+dix\nKOOxEoKdNuSN2+lKAPdIA/tFENAxBQHUZA1sbQNOusQcj9uGIiwWH6lA7TXdGPgoEZCU0TRFHJNm\nZ7+fEuoFzHV99V3IMAI/fZwmyaxzkxcsCMCKBQLLCw61swt+apGuVbvrBPfpYKnNIrtdsJEK1PYO\nMD0GKwQsDRTBMux5q0vYx4xmn+p0oJZXiHFfTyouOo7B+grFjR5Eo5PcR0MmTnb5JhTn4JPjA45O\nrDZC39vYpGqt1mhPBM7+ciAByNyHjj1/6gRkMaD7tlwgB6NSCcxY+33+a8/j+b/2GVtVv6+JSOMH\njxF6EPcfldEy/s4/+ZsAgBd/50W89PVDWK3ft/2eCetA0+8TEcZUGlMvYyMpxAsF90LOtyhk4KGn\nyZjCe3pON1oBWTkY6wNubRpzWtGAmSc9FvInSQ6YENB228Pcb0zoXp9gTMb+01WafVH+LEHGRhzn\nXidbcRtW1T2wjWxxrGaOGloZTqkNZGSD+GBCzxiDzqpf5yTjWXgDtCWY7X8uk21aopVySWquo5Jn\nY5oHW0gd55BzycIAkCy5ZgbeZYln9lw+99Un8fxPPwMwhspoDufgHuIw8+7FL0/g4peJT/Kd31j/\ni+k0tF+0lrfxT37hn+37Gd3vk+PMqsHrKYnW155D9YNNbHx+2gm9Qwye7Pq/+xyCjkbt1TsQC7Ng\nnZ5rQbrW9OYoZBiAsRC6FEF/cHVgO3jpHbDji0CrRcnKB5fBgjBp/XIBXilDNRrglYp70duQO7sp\nxufmz13E9J/egvz4xgDWiJXLQLOJYG4W8eoaeZO32sDUeIpJbMfPuslKV3e7YH2J5ukqqms1IlHV\nauDv3UixQ8WFc8CdVcL5jY+BF9oJ5hXJ5MNGKoQlNRVUViiAdzpQZrxyYxPBmVOQt5ZIMLjVgpic\nAAtD9M/MgX3/bUoCw4iquVqDFQopAX3AOPiMCMJEnjkFXYwgP7hMNpKm0r3flKKlBCzzrx9DzM2g\nNzcKfiXtrQ7G0pqk3S5VRa/dJgzoxCj07bsE5h8fJULRnRVgfIywQH6F0iSQzUemUTD3lI5japO8\n+T6CC+eAFara8osXoN7+0H3Vvxfsf3WvB7Ewh/78OILLS9S6N9es/5VnEVxdh27sYepPWq4q2fvC\nYwi+/TqZJ0iF+PI1iMfOk1WoTCqman0T+tadlNCxJY+pZhOvfO8yXn31NhAG+On/8Cv3NRFpDfT1\n/lPOW9/ewtvfcZCJByz1H0E0d1v4xz//Pw3+IacC5ljYQpAs3G79nvB1uQLfWkJ1FVgcO/xfqvpn\nSCy8QHatVsbGr/ipZhO8UklXKm0CYd1wGKf7XlNr3VVvY5Jvsx0eLaWpgOboW8axSzId4YQzh0k8\njAh8qmU9RM7HhtrbgxA10kdmDJpxQKddm3ITviAgpn+BAXveufSvi2VU27/ZIRyyen1gdZRxk0Rm\nvudDCbzjHZQw8q5bPyExZeWX3L2yX+vb+qVnK9Y2fF9zA+1zGNkMiS0FZzggdLdrVBY03XtK0mIj\nY1zw4u++hJf/8C2Ac/zad//bQ28/d5+HmHd/WHE0RjEkxNnTAIyP9ueeANMAv7WauN5kkhMAEB0F\neeUGxi9dpWTv8XNO5mXvZ5/D6FvrkFeuY/Q3X4OOY3R/8hlEa03onTp6X/0MNGeOaKObLQKgl8uI\nq0Vww0LMht867n31Myh8993kwVWJdtdQoL3WhB8sFzH9wl3Cds7OUOvXx/UZIky8tgFeLhPm9Wz7\ncgAAIABJREFU7twZIJY02VtNSaML6Y+LFQpgH97ASGvBYVlVq5WqYIqxUWB5DZibhigUoDa2Unp1\n6RPNgUIhNdGxKHIPJ5+ahN7eTcslGewlW1klGEQQQBdCYK8F1dhLIBAXL4AtrUJubqWqvz5BBoAT\nQHcTkH8cMDJVozXjLMGhmk3oXh/cTzS9a+AIOd655FMTtBBZX6cEv7GH/uIkoDTELQXstcAnxlMJ\nJ7VIGAp/kLS3WaEAPj1JDNL1Lbco8JNNViikRPttMqqeeQR8qwn2/bcTv/TzZ4FAgO10odY3wY7N\nEC7URFjvYu/feg7hnkS02wPurqQWJcGpE9C7DUBKdL/6DArffAPBwjHEt5ew++OnoATD2J/2BvCy\n9xcM6gDK5ZNfnsSTXybm/fd+c/UBS/0oRU7S6F7Y7Tb43CyCUgmq3gAfH4PardPct0+LeGiSYroN\nWmujq5iQPux3ZD8G44y6QpwBSqellaQ0VcCQVEBsKzSnfQudtG7dnNfrU2LB+JAKqkhcgkxbmJfL\nhtGtXNs3lSTlBGMMMNhSOxYXftJkZZ+seYjWNF9odXCyZ3UdLRcgJ4ZVMvNa9LnHkbUZzSSBdK4y\n708/odbG7lKzgQQMGKzAOhc7U9m0pCRK9A+B1zRQCv/aOJkpS0aL+7BOVO7vvgJOVloJNP8zkb5n\nfOcoXirSmCul5P1mSLf2fsvVDP3EcfC8+8OKI51wAgCzq0d77x7QsmB+e0FJqHcS7GZUl2BGh1Kc\nWER8/aZjrQNA0JFQRhuNFQrQrTb46RNgvT54LyP1MyQKa20CkXug9WERnD7piCRWqF08RsYfjHNq\nleYdI2dJYsIYsFMHfGcEf4LwMC8agNjYSVaG1tfX4BV1pQTWaAJd65Ck0jIVfkjy6+WVEuROD1Aa\nanvHyDNFA6D2gTBMS3B6MH2hW3ZrZUB0npfLYKUi1G49vSqVEtYmzw3NJ2ApDVYug5UBVikRhpUL\nmtiGtH5YsYg8RR61vgnVbELszkAXBBhjxPyM4xQWlBULZOWZGX984+MEE+Zj4bxJV+7sOrywNPeu\njjhUNSPRdOkqxMMPEVSkVASEgCp7JKzX3kPlNRABKCZHJP9y6JCkmZzslpLQ5h4MmgqyxMFGaxDG\n8SMlr/QJQwNHRoD4QfwAQmtKaDjJ8uQRMu8lZL2eJGzckpS8OVFJKlrGsUk81AC0BUieNQC5kkAD\n2EmrYpFxwskLV/1UJiFWmda41maf+7TJTSUXjKdFw5FJ4rKhNDRMW/YgD3cpwYoFsPCTOdgcxmox\nNc6s3JEvN7RP+99aX+a1wgeunb02VjDfJu3D3tGeR7obk1aUHErhbXPwXe8WLD58YkgQUS27bwZm\nkj7V7tAiw14LxsEEA4sMbOowMIB7iKM07x7phJPtJVUj/eq79MPYKNn+AcDVW65qKM6dgV5ZR/TN\n1wAA7b/+OYy8cAVyexv9rzyL8E9fR+m16843PL5+E+zpxyA9MgR/4U2H9eTlMsnIHJuhhNCrNGZD\nTE+76qMlV7hxzc4A3e4AC50FwQCLmIUR9A3ajyXBsGcfA3v/mnORAMyDXShAPPqwk3Si5I9ILS7x\nyZkk8ipWqtkEnxh3LWqAqnx8etJhfsT4ONj4KBFklHTV08RarQcxfxxst54avx/OyrHVhh4dgbp0\nDfLzTyDq9SEkibE7nc3sGFutAfck+0IRU5M0kRYi50WeHIiAXF+niXt9ndrFQpDb0cMPEZHq9lKq\nbRSvrII/+QiggNgjm9l2iCU3sYV50uSMQjTPT6I4OUILoneukBvQsTnIhSnwa3cSmMaxOcTLK9D9\nHuldCu6q2GJqkhjy6xvgtRE3afMX3hxoQ7FCAdiuQ52cBRp70BubCE4eBz82Bz0xCvn+JYjJCfBX\nLgGnj1PSXSlT1R4A1jepyhmFKPzhqxBnT0N9fAfisfP0/7UaYq9aNFQP9h7jfkhDjDEO4PcBvAwg\nAvAQgJ/XWre9zxQB/EMAdwCcA/ArWuvL9zPmB5EfPjFTSwlVb4BFIXiFpHX8efETh12gFQpgSKpw\nfiVNtUiejFXK4FLmKjbwIYok2USNvLY9GJMVKRc5CZeTvIHDh6pe3yVAyTHss/A2x2LPpYZIjckd\np9m+7vUIYx2FQL/vnOGY4EPJMYBJrgxhhVerzmZ4mAB86nwY1v1hSE25+w6jAVKXf+xuvzlkHadk\nItPtb3dd5CCEYGghQYhMK7xHMBG/gOGTtzw9aV4o0PvBSHPZ/3eVzyxrPhOq2U4gD9ZL3cLTOHPE\nM14uOzjTpxlHhax5ZBNOPVJ2rd/g2JyrsLBKBfrSDQBJwhHMzaI/XQW/cctVwng/sWaMdnsQxxcp\nsfDkBnzmrS8rBCSsb5uEDThrAMnEkBWo/cJFhHe2EH98O9X2Z4UC8OTDEJuNdLJpq5Dew8Cefgy8\n1YV8/X26ORlDcPI44tkxiGaP2qOrayRO32pRMnRiHkGnR445UgFBALm+nsIYBjNTiWUckEw+GQ0y\nubPrbDB5tUrVsC65OIjJCfKE5yztHnRneWjriBeL0Dt1aqMfm4R67wpEbQR46X1gaoIwofb877Na\nD44vQi6vpCZpK0eU538rTQLsbNs6HbDxMQQL84htgs0YVSW9FoZfGfdtO+G3jAoRLVwKBZSX16hd\nHgSQvT6dV84hlrdSyaLu0990r5fGkIIgIm4C7seQX3oGvCsh3rk6cO+J6SmaLF97jybAYjHRhDWL\nALe4eO8jiPHxgUVAUK0CWzvY+Zufx9i/ILxz/cIYKu8D9b9yAZXffhlL/+UXMP1Ofyj7/V5Cg0Hd\nP2noRa313wcAxtjvAfgZAP/S+/svAbiltf4HjLEnAPxvAL54vzt9ECZM4sOESGPXvIqmmJ0Bc6YP\nOeSLg7afffYdNpLTApd77Uqvmsmkonaq1bV0ephUebRznWq1kvZlZl/WTSbBCdpqGAeLKoMEJjts\n2wnyfM5VDyk5H16pDCbMdr+2ne4nPF64yqeIaJ4xVpaiWKBKmZVCGoaXLRTAChERWhV1p/I0o7PH\nZkXLnff7AdU9O1fa1rnuk1c8O6Az6PabGf9QdyPOoLuHwE5afU/LdjdtdBZFpLvpqRAkOq+D2pup\n3zAOVixAlEpQe01olXaEskkyY8y143N1X6MogWBwDnQ6UO12Cnec906717jfeZcx9hCAvw/gDQCL\nADa11v89Y+y/A/Al76O/rLX+k/22dWQTTgzUdPb5pNbgr7zvJgu5uYW4dM4xdvWr70IVi05qw08u\nxfg43WjTE4CXcPInHwGvt5LE8KHj4FdvpR5SyzD39RcBQBYD8IkakNWl73bBe7Fp/XgersYKkRcK\nsM4LciQCU36vQUPX9yAKEZjXam995hTKt+pgt5edJJA7pp7FVoYQQQ2q1ULsSQwBIEFvrdOWnnaX\nFtdy/gzw3keJtFCvT5NyxraNl8sDlpU2VKdDrX6tEFQr0B6uKV5eSTsvZF4CtvrIq1VYcpGO48HW\nSV4lwf7OTJiq0QDL4IhEtQo2NkqSUEZGxcfPkJj8GPTWdkKaiiLohiH1GBs7f7LS7Ta0SUBT4+oR\nS1+r0gAG2Z/M4+s3UZASulxE1o2DBs3TL6YwdAlzf3ESLKMfy8ZqqfsbAFmaKoWgY/RAFxfQWBCQ\n/97zqP2rlwAA5RWNsH54UPxBcT8rbU1UXptsBqDJL+u7+dMA/ivz+XcZYxcZYzWtdf6N+SA+9WBR\nBCtMHsxMQW7vHFow2xIs/bBaoFYo21brXCvbYQCppc4YSz0zPv7OJoR5epR54Z5JIcAMYSn3c1Km\nnYE4By8WUu+LfZM1xgFYUtMgu3pQHF47/CGLBLR9VwzVo7TVSZX+/4NCKzARuvnzwHay0t6iPGl5\n615vkCBmIlVVzRt/3u/862AVB+zCJoULVfRelZLeZwaGwYIgvV17bPtJUll8J0DOeWFI+/T2R11F\nwhYjitLXLKtR2usBhUJ6nz55DjgYm3vIuM8K5wSA/1Nr/XsAwBj7gDH2DQDQWn/pXjZ0ZBNOJhP5\nmXh5xfl5I0wwLaJGSZT/4uZjo+DhFKp/8C7gOUaoTgfxFx5DdzxA9cque/m6Vmct3TJUGf9qHQUD\nCY6t7gUL87TynZ2AeucjRGtNxJMlBE89CsQKbH0LcnUN4sI5qPevIM6w6lSrRTejmdT4+DjwZ29C\nm9UN++wTkOUA7PvvuyqgbVeVXngfMrNSldvbLkljQZCQiaanwQJBla6MsL2YnQGqFecD7yflvoap\nq2JMThB2sVZD/MQZmgCuLzv2dC7mx+IU7yyD10aIdb+9DTE2SpXrcjHRxPS/1ukQe35jB/HSHfCL\nFyBWNhPs7akTUCtr9Lmx0QGHEoBwM7Cs70YDvFx2rjtyr5koB2R024KFeaokFiNoUyEUszOQq2tJ\nu9B314Bp8Y9UqL1vpEDEow9DXb5O0kpeUm5dpKwuqdrbc9txrfbzZwFfQ3NsNPnb2Ggy2ZpgL749\ncA7twsmO3YpHq1YLYy8uIQax9uf/9zp0uw1uVBZ0ALSOFTAysMV7Dw3kChC/+JtLePG36D5sN2J0\nGu6ldiJvO4yxrwL4uwC+rrV+LfPnGQB+xlI3v3uQcH6SMAsw+jlpVWslzRzjVTLNcxDfXnJJgBit\nubbvYaqciePN4Pyhmk0yj9AaYmIMeq+Z0ru0WE4WRWC2UikEkQV9tjhjkHtN51Dku+DYJJbxTCJh\n8ZlD2uO624W2i1UPQ+93l0gOKKn2+vhMW4Vz5Jds+9qv1pr/siBIkvODLBltwiqore5j5vcLXihA\n9frgPJ9hnnzQVL4tCSfuAzp2kn260x1Kghm2GHEJXl7VVqeLMS5BZ4yuIRKspsy28hmjsfgFgiyM\nIC+xZhzQMcToCMB4LvTLJtSkDKhNJ8DD6WdE/bMFGl4um+18eov8YfPuob+vdba9xQE0AYAx9l8D\n6IJ0xX5Na51vtWjiyCacaHdSF8Nd3O3tNHsdJingHP3FScQ5L1sAwPNPIlprorCqU2xdgBIxMOaE\ntG1Y7Ilut6Ffew/ss09ABxzivevEnLQTrPGuZs2OY2mLeg9srw0UIrAS/U5eug5eKtLKN0N+gS3L\nXzwP9Tq1+t2E+9YlRJPjiH1xX0+gPRlwUoa3yaYVtFWdDlixgN6ZaYTVClh9L9VaR7VC7kYmsi32\nbFhvdFYuI7h6lyYjn72XFYb2IAm62yVB6c0txwhn7c5wsDcAHQook+CxpdUUiUXvNlKVCH5igbCZ\nfsvax2kV0pUHMVKhpDPT+hOTE4T1HBuFXNpNkvSz82BGd1XUamATY1BrG4ifeRhMaeg3LiXgfCsK\nHEuIxXnI5dUUG1/HClgyL9OzpyHmZ0kmamXdSZ/EV26YkyggJsagTs9DXPqYXj7Tk6kkXYyNQhs8\nLJBgsHipCP3oGXSrEQrm2bLnwFcz4JUy4kbDteNn/q+rkKfnEtev+woGmcOW/NzPHcfnfu74wO//\n3qN/fGvglwC01t8E8E3G2L9gjP2i1vp/9v68BsBfPdbM7x7EJ4mscLZNLIxOsP+5VJgkQG5vQ8zO\nIKhViRy4s3uoauewyo6dn0kUO6KqvlcN9J2RrOqDTfp0PwaPQjDTUdJakaKE1Qw2yaKrHHKVGClJ\nlZCIhkF+zLlydo6WyOT93T5HVsppIBhPVdIG/hxF1DVhpCk8VEUk+70goIVzY4+e+/1E0/1D6vXd\nceR2Wuz2TWKlFdKJnFTkjnePCZRrJVu2sLZan4ET9c9NDLVxe+r16Cu24ulXIv0kPsdRyMcHOxUC\nI53Fi0WS4nIEM29h4PnQOzUBszBwCwshXFKZ1w0cCiG4r8ifd1/6zSW8/FuDTooApoZuibGvAfim\n1vojxthvAbiptW4yxn4RwK8B+Fv7jeTIJpyV0bITfn/p918bEB9mXkndtoODQpjmAnoTg6h3oDlP\nM7hN6E4H6PcMO9lMVEJ4KyxaHWjBCCdUiBCMjUKPlCA/vIJgYR4q9lauSoE1+2D9GNraXU5OkF2b\neSDy2JI6jiE68QCfkVdKiZi8CTE1Ad1Ly9bwcpmSOk90HUKAVcpg9QagFML1Jlg8KE6vbt9Nt4QO\nETqOoTa3YIVyg/k551SUDT42mqx0252kcjAyAhz0EmIMfLPuKs7k5pFOjlkUgY+NQm5sQgTBvoCM\nAZySZdRnsTsd0yY3k3qwMI946Q7CO1tQtvUnBNRIGWyvBFkO0B0LMHq5MrAteeU6goV5Jyw/cH6q\nVXROTaDw/Q+BcyfBJseBzW26f+w9PDEGTIyhfqaC6qt1cjSKk4nY+p2zkAONBlVwPVkafuMuClbA\nfki0nzyO0MNOP/eVx/C5v/o0sPfjwH0Lv9/fSpsx9iiA01rrb5hf3QBwhjE2ASA2bfNvAPg8gD8z\nGM63H7TT7y0OmnvvOdodoDpyz/PLfqE6XbBwH1yglVAyahqAqb5xnk4SOIPum+TIY6kTcznZnO73\nHLZzqLC6H9bv3SYiA9qkVC1zYXVEZaZyt9/2gYONOWwY/GXWQenAUBJ8tEbfxf6JrUus/G1bA5Fh\n6jK558Zr//udmzBKycbtF47t7r7MKXnMmHQ4gtewc8I4wEiuCaB7hAkBppR7x/hJqU02E+JRznt+\nP5kwU91+/t94Fs//m58BgE9B+D1/3v3cz57A5352sIn0nz/2RxsDvwTAGPtJAD8JwslDa+3bz30b\nwN87aCxHNuFsNtr4H//TfwUATjQdANipRVehjP/ys4jWm47gIa+SWDo/d4rY2+ZFzatVIJZQl4ms\nGhxfhFxbJ+CwefnKnV3oz59C97MnUfz9V8CyeETGEKway8paFb35MTClwQCoegPKJL3i7Gk0zo9D\nc6D25zcc3lK3O87XN+X9nRENz1Zfg+OLtJJlOkV4cix2IwXBy2VazRurLTFSAYIAqrEHzpkTnBed\nCcSbW0nFymspsEqFqrxbO0O111gYgUUhJc2PnoEqBwjfvm7aQRrB3Cx0q+3OnU3a1eYWVVtHaxAL\nc46MlSXO+CHGRl0lU23vkJZloQAdS3DPw90l3eY8Oj3N2RnovSb51GZWw5ZAwE3lJahVodttxyYM\nTh4Huj3y991tQExPo39iCmK3Dr21Q24fDQBT49DFAGpjE+EfbyIKArDjC3S/HJuDmhkHri9RRZwx\nqvgYK8n2fAXF1RZVXBsNFN+8QQ5LH9+lpPyJcxAr2268vcdPQnzvbYy3OpCGJam8Vnl85y61sKzX\n9Myka9+rZhPs0TMQy1upidVW8e/+/BOoLklU/vXL7m/NZ47j5T95Dy9/9xKW/u0T+Kv48n0KvzP0\n9QGtv/2jC+BvMcaeBhACuADg7wD4LwBsAfgVAL8K4B8yxv4bAGdxwIr7QQxGc7c11HQjwU3m2/nl\n4fRkvQ7BaeEmZqahJmvgO3uDihL3EkpCd+UAq9pPJl1VqVRMqpym1e4TO6zpgSP0KEmyNrb65Uid\naZZ0Hh7RZz3bdr+vH6k6pgvmsJQGDmAKGyk/8pzQvR54pQznMnTYyqGUBEHoHUAu8g/FYvS1osX3\nkCzbCaN3PHa/Uy+Jh1pF0geGY0513+BZPbZ48rchmqZhRH7sdn+MuWKCthhf37VtiAST+xtnxIS3\nCWUcp4sZ5r5ICe/3Y+NPPzhGHcdkhW3H62mCivFRepdpjZe+/rpb6P36K7+SP75Dxqcw74Ix9tMg\n8uV/DOAYY+wkgJ/RWtsk8xyAa8O+b+PIJpxQaR231pcfAwBULm+BP/4IACD41utQ3qSw/gvPY/p/\nedFJBblNNRpAowH22SfA3r/mWoi624UYH08Y8C++jejHn3KTU8qPvVyGLkZQI0UgVtABR3RrC9pg\nHXmxSJW3RhPVP7tKcjwnZ4FXSM6JhRH4U49CvfWBG1dw6gThSW587OQQWLEAub2bwkNZOSF5/SaC\n0ycJ6/j+pRQEgEURMDkGxjnU5WupKpoCXIXVJmdZUoyOY5Jl4PSA80oFvErIPbWzm2jaFQtmwo7A\nr9yCqFQQGya4iELodgeq2XS4VutSpO2ELSWY8Y/PmzCzagD2YYZp2ctuN5Fb8fBllvmtu13XjvET\nTyidkmhRjUYiEL+xmRJ7dxN+sQDdbBHetBCBff9toFx2mFm7H97uQ5rj4dUqGhdnUfq9VxEsLoBv\n1ok8ZKSkgsUFYKcBdLsovLWZmrxc4mzOdfNkBeJYGeWtbRrvC29CjI1BdzoQx2YR37zlHK1slV91\nu+BCUHXz6g2H20WxAH39DuLNrQEPZt3vYe5Xv+/GIcbHgSBA4Ruv0v29soq5f7wE/KO/i/uN+9GD\n01pfA7HSs/GfeZ9pA/iPPvFOHsS+4e4b74XuJGOQboX795ncIUgKHxkBDwPoQ2IIbQxzu3GWgGYs\nPj7SVZeEAESSLGkpDaaRA2HgWq7ckBETi0SV4Dqz8kFhkFIVSTaeabUC6SqkJTSZ1ryrlppkM9Hn\nzU+CdK8HbRjph042uXCajwOuPPuETYRgZJF0L39MTgoq812SLjqEaHxe8pvTdWI20cxj8XvyfG6b\noPciY+QX7xYIw8rTHs6SFwrUvfK6cdkxsyhynVBXNNI6X4fTHKP1R9d90p525wkgCJVNXO34D8Lm\nHjLuZ95ljD0L4DcAvAbgOwAqAH4dQMwY+1UQZOkJAL940LaObsLJuatqqmYThS2zelhadglJcOaU\nc59hQYjZf/6ma7sGJ4+jd3wSwdvXqIpVKUG9+SFU5iEdEBj/87egn34MePP9NJC4WID88AolNudP\nojseonAr+b7qdIBOB6JUhO72aEXokZl0vwftJ5sL89DNtrv5rY6X3NwiS7bIaJdNjkEaDB8vFoF+\nDLa7N4A3lTs7jgglpiYTm7I4JiZ9XhvXJHdOAL5YpPZ0GBnpkAC610/0LsdGIet7EBfOQl6+Qdqb\nPtuv16eEMoygNrfAx0YRnDwOVa2Ab2wjXlklclClBKysJmxzLhCcWIBcXk0nmzJpG/GwlByrR9ZR\nHUkLBI9sQAB85R563WonsiEAJarFArRUkKZ97Ms7sTCA7nTdJKb2moBJklOs034PzLh+AHAaoiMv\n3gSmpiDnxqEigXA5RFAqAUGA+PYSJcDTE8DGZmpRI86eJuypSR5ttZEZ8hy0htytk7SVqQ75kAr1\nE0/TIqhUANY2sfM3Po/JP7wMBAX0FicQLQGCi1TirX/sKfBW30mE8ScfcYLztiILJGD2+wkNHBnH\niwfx6QQLQiJm5uAaXRLgyc2oBml1sjAkIiDnA12dvBhGOFGtlnNxIYLkjtun1WqU27uE3TQkIfqi\nBLSE7im6t7WmapwlGyFR0dCaDSS8vqTO0GphXvXMYLpZEKSTCW1F65XRvRwiJ8U4VH2PpJFSv2eu\npZsVkOdRaKBPXot6nwpnqhCgZCqZGvwwy03IfMeeA8PDUtoK+kBLPPt5L3i1SmRLwN2H1u2NMZZ0\n62w3z88BfLITAISkB7qfyw8vl6E6XaeJSgS0AGyYJKBvV9xqAS0k+FCVJMlyfTO5Pnlj/YRxv/Ou\n1vp14FPhjR4RNdDDxtDyOz2cNkHp/dRnEX98G9HSFtjsFL2A2eAq1X098zLdfqIG/fmLaP/1zyW7\nNoLZrFiELAYIWnJAuN3GQDk9p0Wiy0XoVssljXJ7O3mwOacEinPI0SJ4rUYrLsCbWDKXLis1ERI4\nnk2M544RIHhCMDdLYugwOMtCwQCdQ7CREfDZafd5tdekyUWpZOL2MEdscpywQv0ereKDAGq8Cra6\n6eSY1OYWsEUvBUumgpLQjb3hqzklST5iSKh2O8Fp2WTTx0L1++mKbmY/vFxOCZvzkYqRfRLpSkle\nGFcVgCqDvFwmBvvGBpz0Wa9PFcZSAcHxRRpDvenGwgKCQqhqmT6zMJ/aBauOEE74x58y7TezSMlo\ntG0+WkRvYRxsdw9yYxPjH9RJ6iMMoAWDWl1H8/nT6eF3+mBeNaVzLJlXeClJ8vM0++49GKTmh/73\nII5+7JdUqE4nIRb5MkXtDuTGJtheG2zr8CgN1+LNhKzXaXFtx+Je1p4Puq18cpYkF2ZcqtWiymEG\nD2n92cH4oCUjqEjg5HX8qpuV6WEMedU4AGlMoxFkJ3ZzMs79XI4GcIAeESb7XdXpQPd6TrEFoIXC\n0HBOS/tYgWY/mzvIg4CuZhNh5K5Jthps/6UY65lzSu1+L0HNyFPBeJYPHaMnnXconLFS1FljnJJ4\nZUX0+/vrZnqkIhaEg+dOSSIVfSoEzdSOj8y8e3QrnEqlWMvBlql8lcsQZhKLr9+EePghqI+XSKet\nWoXu9xD9kfFCDwQQhQMtdoCqeez0cbRPjDp3IlvOnnhnF6zdQ8kw3n3bQrm+Dr6+jvLCPGIA4tGH\n6SFvdaBbnZSrUDA3S0xwe7NzAf3c4wiuL0PfXQU7MQ+xtumqVDqOIR5+KME33rmLoFYBq5RolVKv\ng/V6QK9PWEAj65MNubHpJKWQAVmn5I6u3qRENgxI3mhlFWJyAoyXIdfXIVfXE2tLM4kGJ48j/vCK\nk/FJVYhNOx2gpE13e2AfL0PtNZ2+nq0E23Ha0J0u+CiNmU+MI75zl7C7xSL4sVnonXq67Z0Jh5Gy\nos79nms3D4gs93vGknPXrIiVwUZVEmLTXtM5RwQL84CUdH7Onga2d6nSPD6a+LszBr0wC9aPEey1\nqEr52gdgSiJmjL4XBmifGEP4pwkJw0mmxDGClU2oyTHoShHwdFFtxZPfXQYA9M8vICoXIWfGECyt\nOzxvYVeD//lbsEerX3+fCGg7uxDXb4KfPA7RzrxUjbFA4995HlxqjL58B9LIcAWXl6EvnAbrypQ0\n1icNAq/vP6Ff+e4yrnzPCdTfF0npQfwQwrMRzquasSiCGB8jnLu5193ipd8HSkWqdMYS2NrJdUKz\nsV+1x7oNcU8KL1UlimOas6yOoi/ybRI9Zux2bdKTJGWS2rE+o9mQRzRAXR3Pp91WNp14hzI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HCc/c4D42CCKrMpjU4k7eUBVySzD3Aj6eZ7bnstfUjp2scsCCmRzMOgatOxMm1xViySM84hyDtu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Vlz6NHkxofvc2BUjHPTKws4N56gmR/9jswOvvyqgojOjtmRWKZoL5kz+ffcUs4+u/9TW+/ltf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\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27gKWDKN6vp18KZ3A8VyOsGjxRMNUqBzcpEk2DJPcVsCMzFE2E0rzODhLVy4IQJSZbiJm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NBa8i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\nyieRzJqJrk65qSqR5DPzPKkLwCYyAWjwjAZrFlsKqjV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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import webbpsf \n", + "\n", + "fig, axes = plt.subplots(2,2, figsize=(10,8))\n", + "axes = axes.flatten()\n", + "\n", + "cmap = matplotlib.rcParams['image.cmap']\n", + "for i, ax in enumerate(axes):\n", + " hdulist = final_hdus[i]\n", + " data = hdulist[0].data\n", + " \n", + " vmax = data.max() * 0.75\n", + " vmin = 0 #vmax/10000 #np.min([0,data.min()])\n", + " ax, cb = webbpsf.display_psf(hdulist, ax=ax, title=filt_keys[i], colorbar=True, cmap=cmap,\n", + " scale='linear', vmin=vmin, vmax=vmax, imagecrop=5, return_ax=True)\n", + " cb.set_label('')\n", + "\n", + " ax.set_xlabel('Arcsec')\n", + " ax.set_ylabel('Arcsec')\n", + " \n", + " ax.minorticks_on()\n", + "\n", + " ax.tick_params(axis='both', color='white', which='both')\n", + " for k in ax.spines.keys():\n", + " ax.spines[k].set_color('white')\n", + "\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/SatLimits_Coronagraph.xlsx b/notebooks/coronagraph_properties/Coronagraph_SatLimits.xlsx similarity index 100% rename from notebooks/SatLimits_Coronagraph.xlsx rename to notebooks/coronagraph_properties/Coronagraph_SatLimits.xlsx diff --git a/notebooks/coronagraph_properties/coronagraph_references.ipynb b/notebooks/coronagraph_properties/coronagraph_references.ipynb new file mode 100644 index 00000000..0aa018ed --- /dev/null +++ b/notebooks/coronagraph_properties/coronagraph_references.ipynb @@ -0,0 +1,2818 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "import six\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "matplotlib.rcParams['image.origin'] = 'lower'\n", + "matplotlib.rcParams['image.interpolation'] = 'none'\n", + "\n", + "# seaborn package for making pretty plots, but not necessary\n", + "try:\n", + " import seaborn as sns\n", + " params = {'xtick.direction': 'in', 'ytick.direction': 'in', 'font.family': ['serif'],\n", + " 'text.usetex': True, 'text.latex.preamble': ['\\usepackage{gensymb}']}\n", + " sns.set_style(\"ticks\", params)\n", + "except ImportError:\n", + " print('Seaborn module is not installed.')\n", + " \n", + "from IPython.display import display, Latex, clear_output\n", + "from matplotlib.backends.backend_pdf import PdfPages" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import (webbpsf, poppy, pix_noise, S)\n", + "\n", + "from pynrc import speckle_noise as sn\n", + "\n", + "import astropy.io.fits as fits\n", + "import astropy.io.ascii as ascii\n", + "import multiprocessing as mp\n", + "\n", + "import scipy" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "pynrc.setup_logging('WARNING', verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data_path = webbpsf.utils.get_webbpsf_data_path() + '/'\n", + "opd_path = data_path + 'NIRCam/OPD/'\n", + "opd_file = 'OPD_RevV_nircam_132.fits'\n", + "opds, header = fits.getdata(opd_path + opd_file, header=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "nopd = opds.shape[0]\n", + "nproc = int(np.min([nopd,mp.cpu_count()*0.75]))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finished.\n", + "Finished.\n", + "Finished.\n", + "Finished.\n", + "Finished.\n", + "Finished.\n", + "Finished.\n", + "Finished.\n", + "Finished.\n", + "Finished.\n", + "CPU times: user 1.62 s, sys: 3.49 s, total: 5.11 s\n", + "Wall time: 54.2 s\n" + ] + } + ], + "source": [ + "# Multiprocessing or each OPD\n", + "%time opds_all = sn.opd_extract_mp(opds, header)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0. 0. 0. 0.03361531 0.02086653 0.02146281\n", + " 0.02511235 0.02364838 0.01719577 0.00775705 0.02014983 0.01799566\n", + " 0.01361106 0.01536014 0.00972684]\n" + ] + }, + { + "data": { + "image/png": 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dbkfbtm3xzjvvYO3atVi2bBl69OjB5x76czqdpR5j06ZNePvtt3HixAls3boV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QArn4dpGOC+j7BW03OWpwtK+Y3rdSRBoIm23dU1dR/fp2CwSoXIdqGgw7ySVgvh5CSiahVmPg+7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\n51lCq5smvtJSNq5dy5V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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# For the pupil OPD and each segment OPD, find the stdev of each Zern/Hexike coefficient\n", + "pup_cf_std = np.array([opds_all[i].coeff_pupil for i in range(9)]).std(axis=0)\n", + "\n", + "nseg = 18\n", + "seg_cf_std_all = []\n", + "for j in range(nseg):\n", + " std = np.array([opds_all[i].coeff_segs[j] for i in range(9)]).std(axis=0)\n", + " seg_cf_std_all.append(std)\n", + "seg_cf_std = np.median(seg_cf_std_all, axis=0)\n", + "\n", + "# These values will be used to vary RMS WFE\n", + "# Set the piston values (Z1) to 0\n", + "# John Krist also says tip/tilt (Z2-3) are 0\n", + "pup_cf_std[0:3] = 0.0\n", + "seg_cf_std[0:3] = 0.0\n", + "\n", + "# Zern/Hexikes to vary: Z = 3-14 (indices 3-7)\n", + "pup_cf_std[15:] = 0\n", + "seg_cf_std[15:] = 0\n", + "\n", + "znum_pup = np.arange(len(pup_cf_std))+1\n", + "znum_seg = np.arange(len(seg_cf_std))+1\n", + "\n", + "f, (ax1,ax2) = plt.subplots(1,2,figsize=(16,5))\n", + "ax1.plot(znum_pup, pup_cf_std*1000, color='steelblue', marker='o')\n", + "ax1.plot(znum_seg, seg_cf_std*1000, color='indianred', marker='o')\n", + "ax1.set_title('Variations of Pupil and Segment Coefficients')\n", + "ax2.set_title('Median of Variations in Segment Coefficients')\n", + "\n", + "for seg in seg_cf_std_all: \n", + " ax2.plot(znum_seg, seg*1000, color='indianred', alpha=0.15)\n", + "ax2.plot(znum_seg, seg_cf_std*1000, color='indianred', marker='o', lw=3)\n", + "\n", + "for ax in (ax1,ax2):\n", + " ax.set_xlabel('Zern/Hexike #')\n", + " ax.set_ylabel('Coefficient Sigma (nm)')\n", + " \n", + "print(pup_cf_std)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Science and Reference OPDs" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 2.39 s, sys: 3.64 s, total: 6.03 s\n", + "Wall time: 12.8 s\n" + ] + } + ], + "source": [ + "# Generate list of science OPDs and residuals for use in reference drift.\n", + "%time opd_sci_list, opd_resid_list = sn.opd_sci_gen_mp(opds_all)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finished: 10 nm\n", + "CPU times: user 2.51 s, sys: 4.17 s, total: 6.68 s\n", + "Wall time: 16.6 s\n" + ] + } + ], + "source": [ + "# Reference OPDS for 10nm WFE drift\n", + "wfe_drift = 10.0\n", + "# Arguments to pass\n", + "args = (opds_all, pup_cf_std, seg_cf_std, opd_resid_list) \n", + "%time opd_ref_list = sn.ODP_drift_all(wfe_drift, *args)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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Zqlg58SJVa9KD5rdRHHxwz9+Qwz4D/uc5oI2DQIKMJmvE8wHPtwmc54P4viZo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PrAW39Fsbo4n66BmTlhMaT1V+2zOH7RqVpsMp1/E5X5BrGTclOY6SS4n3YTGBdilkw3AdwEk5nx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3pU5bh4kZM3B8HRrAMTPHOcEuyCaFk4ojjrddgG58cQzkNgjJ4vPAKGJeyfs6QEy8eVsIkkJY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G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\nvvfOy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k6Fx5xLMhS2wJJ6GDGLYyo6Tso4n+momlxDxi+QGYYqulEFwCXgrmZIDuPbvWC+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/fi4agA2893GcBHYOLnz2FoSM0+9tQk24xkvegL5ZsIhunMZQ+RagNAafefgFdrEUIGcl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\naBAAYP78+Vi3bh2ee+45mKaJb775BtFoVIm7iy6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ygj/+8Y9YsmQJnnzySdTV1QEA3n77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\nRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "vlim = 5*wfe_drift\n", + "\n", + "fig, axes = plt.subplots(2,5,figsize=(11.5,6))\n", + "for i,ax in enumerate(axes.flat):\n", + " im = ax.imshow((opd_sci_list[i]-opd_ref_list[i])*1000, cmap='RdBu', vmin=-vlim, vmax=vlim)\n", + " ax.set_aspect('equal')\n", + " if i % 5 > 0: ax.set_yticklabels([])\n", + " if i < 5: ax.set_xticklabels([])\n", + "\n", + "#fig.tight_layout()\n", + "fig.subplots_adjust(wspace=0.05, hspace=0.05, top=0.94, bottom=0.18, left=0, right=1)\n", + "\n", + "cbar_ax = fig.add_axes([0.15, 0.05, 0.7, 0.025])\n", + "fig.colorbar(im, cax=cbar_ax, orientation = 'horizontal')\n", + "cbar_ax.set_xlabel('WFE Difference (nm)')\n", + "cbar_ax.xaxis.set_label_position('top');\n", + "\n", + "fig.suptitle('{:.0f} nm WFE Drift Maps (Pupil only)'.format(wfe_drift));\n", + "#outdir = '/Users/jwstnircam/Desktop/NRC_Coronagraph/WFE_models/'\n", + "#fig.savefig(outdir+'wfe_diff_10nm_lebreton.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Science and Reference Observations" + ] + }, + { + "cell_type": "code", + "execution_count": 230, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "#filt, mask, pupil = ('F200W', 'MASK210R', 'CIRCLYOT')\n", + "#fov_pix = 320\n", + "#\n", + "#hdu = fits.PrimaryHDU(opd_sci_list[0])\n", + "#hdu.header = header.copy()\n", + "#opd_hdulist = fits.HDUList([hdu]) \n", + "#sci = pynrc.NIRCam(filt, pupil, mask, save_psf=True, force=True, opd=opd_hdulist, fov_pix=fov_pix)\n", + "#\n", + "#hdu = fits.PrimaryHDU(opd_ref_list[0])\n", + "#hdu.header = header.copy()\n", + "#opd_hdulist = fits.HDUList([hdu]) \n", + "#ref = pynrc.NIRCam(filt, pupil, mask, save_psf=True, force=True, opd=opd_hdulist, fov_pix=fov_pix)" + ] + }, + { + "cell_type": "code", + "execution_count": 217, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def calc_contrast(psf0, psf1, psf2, sci, ref):\n", + " from astropy.convolution import convolve, Box1DKernel, Gaussian1DKernel\n", + " from scipy.ndimage.interpolation import rotate\n", + "\n", + " # Add noise to psf1 and psf2\n", + " det = sci.Detectors[0]\n", + " fzodi = sci.bg_zodi()\n", + " im_noise = det.pixel_noise(fsrc=psf1, fzodi=fzodi)\n", + " \n", + " # Roll 1 and 2 simulated slope images\n", + " im_roll1 = psf1 + np.random.normal(scale=im_noise)\n", + " im_roll2 = psf1 + np.random.normal(scale=im_noise)\n", + " \n", + " # Add noise to psf1 and psf2\n", + " det = ref.Detectors[0]\n", + " fzodi = ref.bg_zodi()\n", + " im_noise = det.pixel_noise(fsrc=psf2, fzodi=fzodi)\n", + " \n", + " # Reference simulated slope image\n", + " im_ref = psf2 + np.random.normal(scale=im_noise)\n", + " \n", + " # Detector-sampled difference\n", + " scale1 = im_roll1.sum() / im_ref.sum()\n", + " scale2 = im_roll2.sum() / im_ref.sum()\n", + " im_diff1 = im_roll1 - im_ref*scale1\n", + " im_diff2 = im_roll2 - im_ref*scale2\n", + " im_diff2_rot = rotate(im_diff2, 10, reshape=False)\n", + " final = (im_diff1 + im_diff2_rot) / 2\n", + "\n", + " hdu = fits.PrimaryHDU(final)\n", + " hdu.header['EXTNAME'] = ('DET_SAMP')\n", + " hdu.header['OVERSAMP'] = 1\n", + " hdu.header['PIXELSCL'] = sci.pix_scale / hdu.header['OVERSAMP']\n", + " hdu_diff = fits.HDUList([hdu])\n", + " \n", + " # Radial noise\n", + " binsize = hdu_diff[0].header['OVERSAMP'] * hdu_diff[0].header['PIXELSCL']\n", + " rr, stds = webbpsf.radial_profile(hdu_diff, ext=0, stddev=True, binsize=binsize)\n", + " stds = convolve(stds, Gaussian1DKernel(1))\n", + "\n", + " # Ignore corner regions\n", + " xsize = hdu_diff[0].header['PIXELSCL'] * hdu_diff[0].data.shape[0] / 2\n", + " mask = rr0.5) & (rr<2)]\n", + " scale_med = np.median(scale)\n", + " if scale_med<1: scale_med=1\n", + " contrast_scale[i,j] = scale_med\n", + " mag_diff[i,j] = 2.5*np.log10(scale_med)\n", + " \n", + " # Plot the grid of data as a heat map\n", + " fig, ax = plt.subplots(figsize=(12,6))\n", + " hmap = mag_diff[:19,:]\n", + " sns.heatmap(hmap[::-1,:], ax=ax, vmin=0, vmax=1, cbar_kws={'label':'Magnitude Loss'},\n", + " annot=True, fmt='.2f', annot_kws={'fontsize':8}, cmap=cmap)\n", + " ax.set_xlabel('Reference Star SpType', fontsize=12)\n", + " ax.set_ylabel('Science Target SpType', fontsize=12)\n", + " ax.set_title('Average Sensitivity Loss at $r=0.5-2^{{\\prime\\prime}}$ ({}+{})'\\\n", + " .format(sci.filter, sci.mask), fontsize=14)\n", + " ax.set_yticklabels(sptype_list[:19], rotation=0)\n", + " ax.set_xticklabels(sptype_list, rotation=45)\n", + "\n", + " fig.tight_layout()\n", + " #fig.savefig('references_{}_{}_sptype.pdf'.format(sci.filter,sci.mask))\n", + " \n", + " if pp is not None: pp.savefig(figure=fig)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Photon Flux Difference" + ] + }, + { + "cell_type": "code", + "execution_count": 469, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def do_photon_flux(pp_mag=None, pp_gam=None, cmap_mag=None, cmap_gam=None):\n", + " # Some fiducial 0 mag spectrum\n", + " sp = nrc_utils.stellar_spectrum('flat', 0, 'vegamag', sci.bandpass)\n", + "\n", + " # Noiseless slope images\n", + " # - psf0 is the unocculted planet image for contrast calculations\n", + " # - psf1 is the occulted science target star\n", + " # - psf2 is the occulted reference star\n", + " psf0 = sci.gen_psf(sp, return_oversample=False, use_bg_psf=True)\n", + " psf1 = sci.gen_psf(sp, return_oversample=False)\n", + " psf2 = ref.gen_psf(sp, return_oversample=False)\n", + " \n", + " # Science target\n", + " mag_vals = np.arange(0,12.5,0.5)\n", + " psf_scale = 10**(-mag_vals / 2.5)\n", + " nmag = len(mag_vals)\n", + " \n", + " \n", + " # Calculate contrasts\n", + " contrast_arr_list = []\n", + " for i, scale1 in enumerate(psf_scale):\n", + " #print(mag_vals[i])\n", + " psf0_temp = psf0*scale1\n", + " psf1_temp = psf1*scale1\n", + "\n", + " contrast_list = []\n", + " for scale2 in psf_scale:\n", + " psf2_temp = psf2*scale2\n", + " rr, contrast = calc_contrast(psf0_temp, psf1_temp, psf2_temp, sci, ref)\n", + " contrast_list.append(contrast)\n", + "\n", + " contrast_arr = np.array(contrast_list)\n", + " contrast_arr_list.append(contrast_arr)\n", + "\n", + " # All the contrasts in an array\n", + " contrast_all = np.array(contrast_arr_list)\n", + "\n", + " # We really only care about how much magnitude contrast\n", + " # we lose when moving away from perfect spectral type match\n", + " contrast_scale = np.zeros([nmag,nmag])\n", + " mag_diff = np.zeros([nmag,nmag])\n", + " for i in range(nmag):\n", + " contrast_same_teff = contrast_all[i,0,:]\n", + " for j in range(nmag):\n", + " contrast = contrast_all[i,j,:]\n", + " scale = contrast / contrast_same_teff\n", + " scale = scale[(rr>4) & (rr<5)]\n", + " scale_med = np.median(scale)\n", + " if scale_med<1: scale_med=1\n", + " contrast_scale[i,j] = scale_med\n", + " mag_diff[i,j] = 2.5*np.log10(scale_med)\n", + " \n", + " # Plot the grid of data as a heat map\n", + " fig, ax = plt.subplots(figsize=(12,6))\n", + " hmap = mag_diff[:,:17]\n", + " #cmap = sns.cubehelix_palette(10, light=0.95, rot=-0.4, as_cmap=True)\n", + " sns.heatmap(hmap[:,::-1].T, ax=ax, vmin=0, vmax=1, cbar_kws={'label':'Magnitude Loss'},\n", + " annot=True, fmt='.2f', annot_kws={'fontsize':8}, cmap=cmap_mag)\n", + " ax.set_ylabel('Reference Star Magnitude', fontsize=12)\n", + " ax.set_xlabel('Science Target Magnitude', fontsize=12)\n", + " ax.set_title('Average Sensitivity Loss at $r=4-5^{{\\prime\\prime}}$ ({}+{})'\\\n", + " .format(sci.filter, sci.mask), fontsize=14)\n", + " ax.set_yticklabels(mag_vals[:17], rotation=0)\n", + " ax.set_xticklabels(mag_vals, rotation=45)\n", + "\n", + " fig.tight_layout()\n", + " #fig.savefig('references_{}_{}_magnitudes.pdf'.format(sci.filter,sci.mask))\n", + " if pp_mag is not None: pp_mag.savefig(figure=fig)\n", + " \n", + " ######################\n", + " ### Same as above, but in terms of gamma = (sci tot counts) / (ref tot counts)\n", + " ######################\n", + " gamma_vals = np.array([0.1,0.2,0.5] + range(1,11,1))\n", + " ngam = len(gamma_vals)\n", + "\n", + " # Calculate contrasts\n", + " contrast_arr_list = []\n", + " for i, scale1 in enumerate(psf_scale):\n", + " #print(mag_vals[i])\n", + " psf0_temp = psf0*scale1\n", + " psf1_temp = psf1*scale1\n", + "\n", + " contrast_list = []\n", + " for gamma in gamma_vals:\n", + " scale2 = 2*scale1 / gamma\n", + " psf2_temp = psf2*scale2\n", + " rr, contrast = calc_contrast(psf0_temp, psf1_temp, psf2_temp, sci, ref)\n", + " contrast_list.append(contrast)\n", + "\n", + " contrast_arr = np.array(contrast_list)\n", + " contrast_arr_list.append(contrast_arr)\n", + "\n", + " # All the contrasts in an array\n", + " contrast_gamma_all = np.array(contrast_arr_list)\n", + "\n", + " # We really only care about how much magnitude contrast\n", + " # we lose when moving away from perfect spectral type match\n", + " contrast_scale = np.zeros([nmag,ngam])\n", + " mag_diff = np.zeros([nmag,ngam])\n", + " for i in range(nmag):\n", + " contrast_same_teff = contrast_gamma_all[i,0,:]\n", + " for j in range(ngam):\n", + " contrast = contrast_gamma_all[i,j,:]\n", + " scale = contrast / contrast_same_teff\n", + " scale = scale[(rr>4) & (rr<5)]\n", + " scale_med = np.median(scale)\n", + " #if scale_med<1: scale_med=1\n", + " contrast_scale[i,j] = scale_med\n", + " mag_diff[i,j] = 2.5*np.log10(scale_med)\n", + " \n", + " # Plot the grid of data as a heat map\n", + " fig, ax = plt.subplots(figsize=(12,6))\n", + " hmap = mag_diff\n", + " #cmap = sns.cubehelix_palette(10, light=0.95, start=2.8, rot=0.1, as_cmap=True)\n", + " sns.heatmap(hmap[:,::-1].T, ax=ax, vmin=0, vmax=1.0, cbar_kws={'label':'Magnitude Loss'},\n", + " annot=True, fmt='.2f', annot_kws={'fontsize':8}, cmap=cmap_gam)\n", + " ax.set_ylabel('Gamma (Science/Reference counts)', fontsize=12)\n", + " ax.set_xlabel('Science Target Magnitude', fontsize=12)\n", + " ax.set_title('Average Sensitivity Loss at $r=4-5^{{\\prime\\prime}}$ ({}+{})'\\\n", + " .format(sci.filter, sci.mask), fontsize=14)\n", + " ax.set_yticklabels(gamma_vals, rotation=0)\n", + " ax.set_xticklabels(mag_vals, rotation=45)\n", + "\n", + " fig.tight_layout()\n", + " #fig.savefig('references_{}_{}_gamma.pdf'.format(sci.filter,sci.mask))\n", + " if pp_gam is not None: pp_gam.savefig(figure=fig)" + ] + }, + { + "cell_type": "code", + "execution_count": 470, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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uzg5EXrv1VOic+esyRyPO4NHMnb/OX9HZoWhIrZrqbP/ld9as387yVZsZGthb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WFXHm/GWirsVyJeo6AKfPXOJIxGk8mrpx5tzlGoOJumgorCxxdrQjMjqm3mxp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\nAoFA0EGI31AIBAKBQCAQCAQCQSsQMxQCgaDDserR+ffVdxsR0ukOAK/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qGsXi4uZKkSmW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Lm7FesWgvQJ/jh0RIyIjoh1AfdevIubxeoujHR9q1z3F1mjaYiA2ZIzAfDcc8/d9gIJBAKBQCAQ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\nkoKHhwfu7u74+voSERHBjBkz6NGjB+7u7gZ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KCv/5n/9p1I1jc+Y4OzsTFBREQEAAFRUV\nPPHEE/j7+z9wGVD7np08eZJvvvmGQ4cOMXbsWJOsl6bOsba2JiIiAi8vLxISEigpKWHIkCFG7xib\nK+d6Go2GQ4cO0apVK6OMmzd3Rt1GUUJCAidPnmTUqFGNGld+P+RYWVnpN4xXr17NihUrePHFFw3e\n6DZXRt2kInXnEubm5vLpp58SGxurn00qJyeHoKAg/XDY+zXn+gxra2vs7e2xtrYmLi6OjIwMVq5c\niZWVFefPnycgIACdTmdwLabKUUoRHx9PeHg4wcHB9WaQ27t3L+Hh4aSkpPDjjz/Sr18/o+2IFU3D\nYmd5ul7d1JSmuFy8uTMSExMJCwsz2ZR65sxZv349wcHBhISEPNAZlZWVHD58GF9fX5NsUJg7x1JU\nV1eTlpamv8rvg55TWVmpH8pjSubIqTsJ05TMkVFVVcXFixfRaDRG3fhuqhyoPS+rboraByXjhx9+\nID4+nh49evDxxx8DMHPmTDZu3Mg777yDTqfj8OHDPPfccwbtiDFHTl1GbGysfvKH62fXeuGFF8jL\ny2PBggVGqcWUOXUZMTExfPTRR/Uyli9fTkZGBidPnmTy5Mm0bt260bWI+8ND0aGwJHXTxVpKjhBC\nCGGIpKQkHBwcmD9/Pq6urvrpdVeuXEl5eTnnz59nxIgRBu8gM0fO9Rmenp76jf2rV6+i0WhYtWoV\nPXr0MLgzZo6c22VA7QyGO3bs4H//939N2nkV5iMdCiGEEEI8sIqKirC1teXUqVPMnj0bd3f3etfs\nMNbRKnPk3Jjh5eXFRx99xLVr19DpdPWup3G/59wuA2DTpk20bt2atm3bGlyLuD9Y7DkUQgghhLB8\nN04qkpyczNKlSykpKeEvf/mLwdOqmzPndhOkXLx4kbCwMKMNRTRHzp0me3n66aflOhMWRsa0CCGE\nEOKBp9PpCAsLo3fv3pSXl/PII49gY2Nj9HNpzJFzqwxTnNdkjpwbM/r27Wvy85uE+cmQJyGEEEJY\nBEuavERqEQ8S6VAIIYQQwmJY0uQlUot4UEiHQgghhBBCCNFo0lUUQgghhBBCNJp0KIQQQgghhBCN\nJh0KIYQQQgghRKNJh0IIIYQQQgjRaNKhEEI0mbNnz/LKK68wcuRIxowZw8iRI4mPj2/QcwcPHsyZ\nM2dMvIQNM2nSJJ577jlGjRrFgAED6NixI6NGjWLkyJH07NmTs2fPNvUi3mTKlCn07NmTbt26ceXK\nlZvuX716NaGhoTz33HMcPHjQpMuSkpLC2LFjjfJaNTU1jBw5ktDQ0PvyfRdCCEskHQohRJOZOHEi\nvXv3ZvHixSxcuJDXXnuNn3/+uUHPXbp0KQEBASZewoabNWsWixYt4qWXXsLd3Z1FixaxePFievXq\n1STLM3LkSNasWXPb+z/88EN69epFVVUVa9euven+lStXotFo+Oc//0lERIQpF5UuXbrw5Zdf6m/P\nnTuXSZMmNeq1tFotixcvlgtnCSGEGUmHQgjRZA4fPkxUVJT+drdu3Rg0aFCDnuvk5GSqxbpnY8aM\nwd3d/bb3eXh4mHmJGm7QoEEsWbKk3v8dOHCA1q1bm3U5jN2eMiO6EEKYj66pF0AI8fDy8/Nj3rx5\nTJkyBXt7ewDGjRunv7+oqIjp06dTVFREVVUVERERvP3228yaNYsVK1YwefJkhgwZAsCaNWv48ccf\nsbGxwdvbm+nTp+Po6Mj06dNJSEhgxIgRZGVlkZ6ezuOPP85bb72lz/nhhx/YtGkTdnZ22Nra8tZb\nb9G+fXsuX77Mxx9/zKlTp1BK8dRTTzFs2LCb6ggJCbltjXX3/frrryxZsgStVktVVRVvvfUWnTt3\nJi8vjzfffJODBw/y97//nYSEBPbu3cvGjRuprq5m4sSJVFdXExAQwJUrVzhy5AgTJkzg2WefJTU1\nlX/84x9oNBp0Oh1TpkyhVatWzJw5k/T0dL777jtWrVrF2LFjiYuLu+XyPfvss6xdu5bk5GR69OgB\nwLJlyxg+fDjLli2r99jp06dz6tQpqqur8fT05MMPP8TR0RGo7RxOmzYNW1tb2rVrR2ZmJiUlJbz7\n7rskJSXdtg2KioqYMGEChw4dIi0tjQ0bNrBq1SoqKysZNWoUsbGxXLx4kWXLlunbe8qUKaxZs4b5\n8+frO6QrV65k4cKFeHp6MmDAgJuOUMybN48tW7ZgbW1NaGgoEydORKeTn0AhhDAKJYQQTWTXrl2q\ne/fuqmvXrmrixIlqz5499e5/4YUX1Ny5c5VSSlVWVqqhQ4eq3NxcpZRSI0aMUKtXr1ZKKbVv3z4V\nHR2tiouLlVJKffbZZ2ry5Mn61xkxYoQaP368UkqpgoIC9Ze//EUVFBQopZRat26devLJJ9XVq1eV\nUkr98MMPas6cOUoppSZPnqwmTpyolFKqrKxMPfLIIyolJeWONa1atUrFxcXd9P/r1q1TpaWlSiml\ncnJyVJ8+ffT35eTkqJCQELV27VqllFILFixQBQUF6tlnn1XfffedUkqp/Px81aVLF/37cenSJRUd\nHa3++OMPpZRS27dvV4899li9muven9uZOHGiys3NVRMnTlQTJkzQvz9Tp07VL1N2drb+8YsXL9b/\ne86cOWrWrFlKqdq2iYuLU+vXr1dKKZWWlqY6dOhQL/9ObZCTk6NCQ0PrvXbd+367evr27av/vGRm\nZqqIiAj9Z2Pp0qUqNDRUf3vt2rVq4MCB+jZ+44031L/+9a87vjdCCCEaToY8CSGaTI8ePdi+fTvv\nvfceZ8+eZfTo0UydOhWAc+fOsXPnTp5++mkArK2t+fTTT3Fzc7vpddasWUPfvn1p3rw5AE888QT/\n/ve/6z2mZ8+eAHh6etK8eXNyc3OB2pOPBwwYgI2NDVC7x/7xxx9HKcW6dev0+Y6OjvTt2/eW5xs0\nREhICBMnTmT48OFMnDiR/Px8ioqK9PdrNBr69esH1A6Tqqqq4tChQwwePBgAb29voqKi9EN5tm3b\nhqOjI926dQMgLi6OCxcuNOoE6lGjRpGYmEhOTg4//fTTLY/CANjY2DB8+HBGjhzJ+vXrOXr0KFA7\nRKqoqIgBAwYAEBoaSps2bW56/u3awFCbNm0iMjISPz8/AAYOHFhvyNOaNWsYOHCgvo2ffPLJO55f\nIoQQ4t7I8V4hRJOys7PjmWee4ZlnnmHv3r2MGTOGcePGUVRUhEajqdeBCA0NveVr5Ofnc+LECUaN\nGgXAtWvX8PT0pKSkRN/JuH6Mvo2NDVVVVfrnXp/h5OREcHAwhYWFVFZW8vnnn2Nra4tSirKystsu\nw91MmDBBP5tVXS03zq50/TKeP38ejUaDq6ur/v/qaoHaDldJSYm+ZqUU7u7ulJSU3POytW/fnsjI\nSBYsWEBRURGhoaHk5ubWGzb0xx9/8I9//IP169fj6+vL6tWrWb16NQAXLlzA2dm53uNdXFxuyrld\nGxjq/Pnz9d6nG7Pz8/NJSEjgjz/+AKCyslKGOwkhhBHJN6oQoslMmzaNadOm6W9HRUXh4uJCWVkZ\nPj4+QO15FHX/PnPmDM2bN6dZs2b1XsfX15fAwEA++OAD/f8VFxfX2wC/HV9f33pHCioqKsjPz6dl\ny5bY2trywQcfEBYWBkB1dTUVFRX3XGdRURG5ubn6PfQN2ZD29PTUP7eu/uLiYvz9/fXL7evry6JF\ni/TPKSsrw87O7p6XD2DEiBG89dZbzJ49+5b3Hz58mNatW+Pr6wvUdtquX9aLFy9SU1ODVlt74Lsx\nHZs7sbGxobKyUn/70qVL9fJPnz6tv11cXFzvub6+vsTGxvLCCy/c9jFCCCEaT4Y8CSGaTHJyMocP\nH9bf3rNnD1qtltatW+Pl5UVMTAyrVq0Cavcqv/nmm7fcGB86dCjbt2/n4sWLAGRlZTFhwoQGLcPQ\noUP55ZdfuHr1KgD/93//x44dO9BoNDz11FP1hjh9/fXXdx3ypG4xu1Dz5s1xcXHRD0f6/fffb3rO\njc/z8/MjPDxcn3fu3DkOHDigv79Pnz4UFxfr37/Lly8zatQo/Ya2o6MjFRUVnD59ms8+++yuy9u/\nf3/eeecd/vrXv95ymYKCgsjOzqa0tPSmGjp16oS7uzsbNmwAIC0trd4G/t3cmOXo6Kg/evPqq68C\n4O/vT2ZmJlD7Obm+Y/f444/z559/kpOTA0BCQkK9oyVDhw5l48aN+g7J7t279UPrhBBCGM5q2vW7\nB4UQwozs7Oz44YcfWLt2LStXrmTv3r188skn+rHwvXr1YuXKlcTHx7N69WrGjRtHWFgYM2bM4Pff\nfyctLY0WLVoQHR2Nm5sbn3zyCevXr2fXrl18/PHHuLi48Pnnn5OUlERaWhphYWF8++237N+/n9TU\nVKKiooiOjtYPbVq3bh06nY7XX38djUZD9+7d+e233/juu+9Yu3YtLi4uTJgw4bbXOEhISOCbb76h\noKCAffv28dRTTwG150e0bt2aWbNmkZSUBNRezO3gwYP079+f1157jYKCAvbs2UN4eLh+CFZ0dDTz\n5s1j+fLlZGZm4uvri7u7O926dcPGxobo6GhmzJjB6tWrSUhI4JVXXtEPybKzs+Nf//oXSUlJPP/8\n8/ojG3VmzJjBli1b2L17NxEREXh4eNC5c2c0Gg0nTpzgvffeo6CggIMHD9KxY0e6devGmTNnmDVr\nFnv37sXBwYG9e/dSWlpKr1696Nq1KzNnzmTdunUUFxej1Wrp0KEDoaGhd2yD4OBgpk6dqq9/yJAh\nuLu7s2TJEtatW0evXr2IjIwkKCiIefPm8csvv+Dk5ERWVpb+/QoJCcHb25uPPvqIzZs306pVK3bs\n2MHBgwfp2bMnnTt3pry8nBkzZrB+/XrS09OZPn26fmYxIYQQhtG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H0jMJPXmRll3bAdB5UHdsnR3Iz81j5ccLad/Xm/peDbFxtOX0nuN4NHtKZ4cC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A899BD5+fk8/fTTvaIoV7BZbax+exURgyIpPl/Eff99H+4eHgC0NDWTPCmZo/u6el/0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\n+umnyjvvvKOfzlNPPaU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27dpzmI1b9+DWujlyS/My6xRmk6+3Ozv3HiZ01684OzakiVMjtXSOnziMtbUN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k5z/mYerTH1pJgpu3wrkdfpdbv0fWWuNM6EVu/RaJZ1M3zoddkY9XV6MmOjOm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xL2ZLvlNezhSa8PFWA+Dro6bAQac5pj/yGw4e3sHO3Zuora2hqMjcokZBgQkfHweNM6Yr7j9k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\ntVTPsWQ9169fR6vVWrQvhpVwS/fFsIJkyb7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8jJIStVG3V3kZ9na2hO8/Tts2AQZnVCcnePgA2rdrCcD1G1Fs2x5u9IxZ08ZX\n+Vj8LNrk9+avOPzpmXUqBg4cyLlz53SmHT9+nFdeeQWA5557jrfffrvM3508eZJWrVppX7dr144T\nJ07w4osvVnkdrlw9iaODK926Dib70DauXD3Fc+01P6Pet1cwzs4eFBUVsHTZmzzfbQig6Uyo1Woa\nNmhqUEZk1Fns7Fxo26YvEWeyiLpzjgD/bgD4NXmOtLRYLl85SOPGbQDo3HE4Dg5ulJQUceLk93o7\nFAAPH17C1taJ5s17kJ//M9HRl/D17QhAdnYqZmaW2Ng4aJe/fHkflpY2qNUluLjUN7j3m5R4A2tr\nexr6dORu1DESE27gXV+z3jKZGU7ODVGXFOHg4AlAk6Y9sLFxQq0uJvLWQb0dCgBF2h0sLO3w8GxN\ncVEeyrQ7uLprzk4+vHcMJxcf1Opi5PaajPiYM5iZWVJaqsZG7mbQm7ZbZ3+U6TkcOX4NR/uudO3c\nnF/Pajq3m78/TpoyG0cHWwb0aYtaXUrIyG7k5hZibm5GdGyaQR0KgF7PtyFNmcXPB8/h5NiPXt3b\ncOzUVQBuR8UwqH8nLC3M6dOzLd9s3Ifc1hp3NycePEwyLADo06M9qYpMwvdH4ORoR+8e7Tl64hIA\nNyMfMiSwC5YW5vTr/Ryr1u9m609HSElNx8LCjFlTg/R2KEDzhTclVUnYnsO4ODsQ2Lcr+w//CsC4\n0YN4Yep8iopL+PG7xYT/coIZU0aTnZOLhYU5UfeiDepQAJSWlhIbX37d57/2EnPn/4esbBVh25az\nY9cBdu49RGKS5vdB9oV9Y3CnorKcuPhkvDw9dKbNnjmR77eHc+PWXdau+C87dh1AmZ5p1IwxIwfx\n6ZI1PIyOZ8XSD2gZ0JSbt+9WO+PbzWEkJqViZWXJprWL+HHHz6zbuJ3EpFQsLSx4bc5UgzoU+nKO\nnThLMz8fXhg3nFMRFwC4ePkmSclphI4fweWrtwz6Il5ZRsP6nuTnF5CmeLy+s2dOJDtbhYWFOZF3\nHhi0j1WWUVxczOWrt7C1sSYy6n6161GdHGO3/TtvvMzJXy9gY23F1eua45q9nRxPTzci7xh+tbqq\nGWOCB/Pp56urVA99OYu/XEdiUipurs6MHTWYkhK10fev8jKMvb3Ky0hJVWJmVvWvXFXNAbh2IxJz\nMzNu3LpTKxnVORY/izYR6l6dXltRKpXanwuXy+VkZ2drz4g+kp6ervOT4nK5HKWyej3XNGUSDvaa\nL+0O9i6FpyjYAAAgAElEQVSkKR/v4M7Omg/9U7/uIzjoJQDat+9Nj+7D6N1zBJu3LTHoYJaZmYzc\n1vG3dXUiMzNFZ76bW0MCB0zj8uWDqNUlODi4AXDl6mHate1vUD2ys1OxsdF8YbexcSA7O0077+bN\nYwQE9NJZPj09HltbZ/z9e5KQcBuFIhZD5KrSsbTS5FhZ2ZGX+/hDvkGjDjTy6USjxp25eG7bb+vi\nBEDMw3M08ulkUEZBfiYWFpr2tbCwpSD/8ZfevNw0rG1c8KzfnsS4CxQV5ZKrSsPSyp56Xm3IyohB\nlZNSUdFa9TwcycjU/PhaeqaKeu6O2nlpymwAhg7swM8HLwLg09AdhTKbQ8eu0qaVD40beZQttBxe\nnq6kp2vKU6Rn4+Xpop0XOn4AK9fvYeW6PSz/ZjcAY0f1ZvuuE1CFkxneXq4of8tQpmfh7emqnTfl\nhcEsX7OTZWvC+GrlTwCkpGrabOTQHuwKP21QRsP69VAoND/smKrIoEH9x1e9FnzwJePGDGbIwB4U\nl5Tg4uJIcz8fkpPT+GnXIbp1bktAc1/DK1RRPT09yMrWtFl+fj7OTg7aD7Ghg3qzYvXmGmdUpGED\nL+0XWoUyA2/venr+our+89kK+vbqwrDBfTAzM8XD3UX/H1Xi0baZEDKMzz5fozNtfMhQg85WGurO\nvWg+/HgZE8cFYWZmqs363xff0KVjW9xc9Z8YqcyLL4xk64/hmDzxxmjezJfEZM0VmO5dnqOFv1+N\nMn7auZ/tYb+wbXs4Sz5boJ1uzHpUlGPstvdv5sv9B7Fs/n4P0yaNwdnJgemTx7Dhux1VObRUOeM/\nny43aj3g8T476YWRbNq2W2e6sdqlvAxjb6+K6mFs5eXsO3CC77fvY9O23Sz89zxMTU2NnmHsY/Gz\naBPh2ajTToWrqyu5ubkAqFQq7O3tdYbxADg7O2uXebSci0v1Dl6PhjcBZGUrcXPx1Jl/4tRu/Jq0\nwslR80U/JeXxl28zM3OKiwv1Zjg51UOVm/nbumbg6Pj4C2nUHc2VGhMTGTJTU215anUxWVlpODt7\nGVQPe3t38vI0Xyzz8rKwt9esb25uJqamZty9G0FWVgqxsVfJyVFia+uEpaUNAFZWcgoKcgzKsZW7\nUFigySkoyMHG9vHBPPe3oU+mpuaUlDzeLqWlJeTlZSC3czMow8rakaIiTfsWFeViZf34CouFpRwz\nM0sAzMysUJcUYfnkNHNriovz9WYkJ2fg5CgHwNlRTnKq7llnezsbSkrU5OZp6qFMz0GVq7lEm52T\nh729jUF1SUhS4Oys6YS5OtuTmPS48+tob0tOTh4AE8b0xdFBjrWVBb2fb0PTJt60a+NHowb6Oy/x\niWm4/Jbh4uxAQtLjX0J3dJCT/VtG6PiByOXWAJiZmVLPw4W4BMN+BTw2LglXV00H0d3Vibj4ZO28\nHFUum7bt5ecDp1CrS4mLTyY5VUl2jqYNMzKycXLUf4VKRzlXm+ITknFwsAPAysqK9N9+VX7EsP5k\nZ6u4cPlG1S8tV7L8k2VFxyRov7i4ujiRkJBc0Z9VO6OkRM3673YQ/ssxiotLiLr7sMYZoeODuHDp\nOkkpj9vZ3NyM+t71iI6pxq+ml5MT2P95ACRJoqSkBGsrK+00gPTMLFxcHMv8naEZ7m7OFBYVMSpo\nAD6NvOnfpxtenu6kpCjIzn50YiATZyeH8kozuB6PhiQVFhYht7XRqVu16lGFHGO3ffIT2yY7R4W9\nvRwbG2sGB/akRUBTunRqi59vI6Nm2NnJa1aPCnIAnJ0cKCouJjtHk2fM/au8DHNzM6Nvr/Lq8Xjx\nan5NNjCnSeMG2nnFxSVYWVkYPQNqcCx+Fm3yO/FXvKfima/xk5ete/fuzeXLlwHNPRd9+vTRLpOU\npLmK0LNnT27evKn9mytXrtCrl+6ZeEO1a9ODrCwlEWd+IStLSYB/R5avfheA9Rs/5sbNs5w8Hc7G\nLf8D4M7dqxw9HsaRYzto3aobVlb6v1w2b9YFVU46V68dRaXKwLdxW37YrrkxKz4+kgsXf+bc+b34\nNm6HlZXmDP3Va0dp08bwG5EaN36OvLwMoqJOkZeXSf36Lfnlly+xtXWkc+fRODpqOkuSVIqlpQ3t\n2g0lNvYaUVGnAQlv7xYG5Xh6taQgP5vY6AsUFGTj7tGMM79uACAx/jrRD88SdfswTZo9bo/Y6As0\nNPAqBYCrWzOKClWkJF2nqFCFo3Njbl3VnGX38e1FSuI1khOvYmPrirWNE/UbdSVd8YCUpOsAODrp\nP9BEnI/C2VlOv95tcHaSc/naAxbMH6udPyTwOX4+eEn7evuuCDo+50e/Xq0xMYGr1w37sDx5+hqu\nzvYMCeyMi7MD5y5F8fG/NVe91m/ez/QXBzNuVB9i41PJzFKx/Jvd3I6KxcTEBJmJCbm5+jtIx09d\nwc3VkWGDuuHq4sC5C7f43380Qwi/+XYvM6cM44WQ/sTEJqNSacoLGtydvb/8alAdAA4ejcDdzYVR\nQf1xc3Pm9JnLLF+ieZ8MH9ybV2aOZ9qkYL7dvIvCwiLWrP+R3j06Ejy8H5iY8OvZKwZnBQ3th53c\nhpBRg7G0tGDNsv8AsGjpWmZNG8+MKSFs2rYLgHlzpvHCuOEMHtiLpf97F1sb6xrnuLs5079PN3wb\nN6BDe8045FVrtzJiWH8mjgsi4uwVvUOfqpPRrUs73n3rFV6cMIITp86TkKj/iltlGZ9/8g59e3fl\nhXFBfLbwLe3yY0cN4ccdPxu2kQzI6fRcayZPDGb65DGcOH2BHFUuPg29mT3zBULHB5GenklklGHD\nFcrLSE1LZ/HSddr7KWSmMrKyc1ixZgt9e3dlzMhBmGDCqYiLNarHkIG9mRAyjL+//CKr12tuHK1u\nPaqaY+y2/98X3zA+ZBhjRw/hzt2HRMck8N//reTq9UhMTDRj2XNUKj2lG5YxbsxQ7tx9SExsQrXr\nUVkOQOiEETpn9425f5WXUVxcYvTtVV49bG2tCRraj3oervTqYfhnZFVzunZux5TQUUx9cTSHj/1q\n0OdKVTOqeyx+Fm3ye2JiYlLj//5oTCRDB0DX0Pnz59m5cyenTp3ihRdeYPr06eTn57N48WI8PT2J\ni4vjjTfewNnZmcjISN58801279bsYHv27OH69euYmprSuHFjxo0bpzfv2MHE2q4ScQkZtZ4BoMgw\n/Ebe6kpWKPQvVEPKjGdzw1WyohpnZasoI9Ows/41UVRU/k2sxpaZUfvbq7Dgj/eBIAiCIPx+xUYd\nr+tVqFSzdkE1LuPOlT1GWJNn55l1Kp410amoGtGpqBrRqaga0akQBEEQjEl0Kn5/xC9qC4IgCIIg\nCIIR/RGHL9XUH+8uEEEQBEEQBEEQflfElQpBEARBEARBMKY/4NObauqvV2NBEARBEARBEIxKXKkQ\nBEEQBEEQBCP6K95TIToVgiAIgiAIgmBEf8Qfr6sp0akQBEEQBEEQBCP6K16p+Ot1owRBEARBEARB\nMCrRqRAEQRAEQRAEoUbE8CdBEARBEARBMCJxT8WfSGGhutYzrCzNaz0DwMHOttYz8gsKaz0jKyer\n1jMAbK3taj2joCCv1jPU6pJazwCws3Or9QyZae2/V/JzM2o9QxAEQRAMIe6pEARBEARBEARBqKI/\n7ZUKQRAEQRAEQagLYviTIAiCIAiCIAg1YoIY/iQIgiAIgiAIglAlolMhCIIgCIIgCEKNiOFPgiAI\ngiAIgmBE4p4KQRAEQRAEQRBq5K/4SNnfRadiw4YNpKamYm1tTVFREa+//rrO/KKiIj799FM8PDyI\niYlh5syZ+Pj41M3KCoIgCIIgCEIl/oqdijq/NnP79m127drFm2++yZw5c4iJieHQoUM6y2zYsAEv\nLy9mzZrFlClTWLBgQR2tbe1ZvfZNrt84aZSySkqKWLn6VRKT7hmlvN+ji2c3kJp8q1bKtrQwIyS4\nC2+9NqJWyhdqZuu6jxkS+HyV/iYkeBC/Hvm+ltao7jOcnBz46P25fPT+3FrNMaa6zrC0sODUoa20\nbe3/h8ipzvbasfVrhg/pW6sZ1VHXbf9HynhWOX+WDKFu1fmVipiYGOrVq6d9Xb9+fc6cOcOAAQO0\n044fP868efMAaNasGVFRUeTm5mJrW7Vfmlar1ewOX4OXpy8JifcIDnoZmcwUgF171+Dq4kl2djpO\nTu507TyY8xcPERd/Fy/PxiQkPmBM8CsGZRw4tAEPDx+Skx8weOB0bcaduxfIzctGrS7h/oOrjA+Z\nD8DlK0ews3M2uB6lpWqOHd+Mm1tDUlOj6dtnMjLZ4/7hpcv7cXH21r7OzlZw8dLPODl5UlSUT+dO\nQQbnXLwYhpOTN+npcXTsGKLNuXnzENnZqQB4eQXQqFF7VKp0Im8fxd7BneKiAlq2CjQgo5QHdw5j\na+eOKicFv+YDtOMQC/IzSUuJwtzChvy8dBr79QYgOeEalpaG/2q2TGZC6LgexMQp8GnkxndbTyJJ\nEgCzXwqkqKgETKC5nyfv/HsbNjaWnD1/Dz/fenpKfjpHxsypg3gQnYxfY09Wrf+Z0lJNzrjRPbG0\nMEehzMbdzZFvtxzC3dWB4OHdiE9UYGNjxfadp/RmmMpk/H1WMPceJNC0SX2+WrVDm/Hi+EAsLcxJ\nU2bi4e7Mmg17sZNbM2Lo86QpMmnm14Bla3Zq615hhqmMf8wex917cTRv2pAly7ZpM6ZMHIKlpQWp\naRnU83Bh5dowej3fDv9mjYhPSMXT05W13+4xaHuZmsp44x9TiLobTUDzxny6ZAOlpaW/ba+B2Fhb\nkZWtwsbGis3f7wNg5LA+pKalG1T+IzKZjHMXrpGfX1BmXgt/P4YN7oMyPYPMrBx27DqAl6c7UyeN\n5uHDeORyG9as/8HoGQ72ciaMHU5yioKWAX58vGiV3napLENua82BQ6cYFNhTO606Gfpy3nnjZWJi\nE3F3cyYhKZUfd/zMu2+9gpWVJSYmJnRo35LJL83X20aVZfTp1QVnJwfMzc3o0a0jc17/kMB+3WkZ\n0JSYuETqe9fjqxXf1ageAJNDg7n3IFb7ukP7lvg2bohUWsqQQb2Z9ep7qNVqo+cYe3u9NHUcjX3q\nA3Di1Hn2H9KcnBozchApqUq961/djNrYv8rLGTUikFYtmhF55wEt/JvwwX+/rlGGt5cHgwN7kZ6R\nSeNG9fn8q/XVavuqZrwycyKq3DwsLS2wsLBg2apNeutRnRxjH1vKywgJHkT7di0BuH4jim3bw41e\nj+q8T35v/or3VNR5jVu3bs2DBw8oKioC4MaNG6hUKp1llEqlTgfC1taW9PSq71zXbpzCwcGVLp0G\n4mDvwrUbp7Xzej4/gue7Dad/33GcOfcLAA3qN0WlyiQ7O53zFw9SXFKkN+N2ZAT2di48164/dnYu\n3I48o53XrGlHvDybkJISQxPftgDk56vIyk7Dw72RwfW4c/cccrkzrVv1QS535u7dc9p5mZkpmJtb\nYmvroJ125uxOAgKep13bAcTF3SI3N8ugnNjYK9jYOOLn1w0bG0fiYq9o58lkpri5+uDo6ImTk+ZD\n4MaN/TT27USzZj1JTrlLfn623gxFaiQWVnZ4erfF0tKOtJQo7bz7d45gamaBWl2Enb0XAMXFBRQU\nZGMrdzOoDgCdOzQhPUPFidO3ychQ0alDE+28H3acYe3Go2zfeZbTZ+6gVpeSkZlLfoH+tn5aj24t\nUCizOXjkMsr0HJ7v0kI7L+pOPG6uDnh5OtO3VxsAxo/pzZET19h34AJtWjbG0UF/J7l3j7akKTLZ\nd+AsCmUWvZ9vq513KzIaD3cnvD3dGNi3IwCTJgxEJpNhbm7GvQcJBn3o9+3VgdS0DPb+cpo0RSZ9\nenbQzrtx+yEe7s40qO/B4AFdAAga0oNfDp1h34EImvk1pHnThgZtr8C+XUlJVbJz71FS09IZ0KeL\ndt64UYFs/mEfYXuOMGJob5wc7bCT2+JZz5U792IMKv+R0tJSYuOTyp03/7WXWL1uG+s2/sSkF4IB\nmD1zIrv3Hmbrj3vp2rkdLs6OtZJhKpNhYWFO5J0HBrVLZRlx8ckUFRfrTKtOhr6cbzeHseWHPaxc\nu43xY4YCsG7jdt79YAkf/vdrjp04a9AHf2UZx06c5cbNO/g38+VUxAUAxgQPZlf4YcJ2H6SFvx8t\nA5rWKKNhfU/y8wtIUzxe14uXb3I64iKNfRpw+eotgzoU1ckx9vYqLi7m8tVb3Ln7kMio+wDY28nx\n9HQj8s4Dg+pQnYza2L/Ky7l+4w4uLo64u7kwesRALMzNa5Txzhsvo8rNxcbaiqvXI4HqtX1VM3bu\nPcTGLTtZs/4Hhg3uo7f86uYY+9hSXoYkwbUbkdyOvMeNW3dqpR7VeZ8Ida/OOxXe3t58+OGHLF++\nnI0bN9KsWTM8PT11lnF1dSU3N1f7WqVS4exs+Jn9RxTKJOztnACwt3dBqXy8gzs7eQAQcfZngobO\nAOD4yTB69xzFwAETCR0/H3MzC70Z6RnJyOWaLyF2cifSM1J05nu4N2LIoBlcuLgftbqEiLN76NrZ\nsCsHj2RmpiC31WTIbR3JzErVzrt85SBt2/TnycNIZlYqtr8tb2PjQHZ2mkE5OTkKrK3tAbC2diBH\npdDOa9KkK35Nu9O06fOcOrkeANWTy1vZkZur/yCQn5eJpYUcAAtLOQX5mdp5qpxUbGxd8W7QgfjY\ncxQV5RIfc476jToZtP6PuLs5kJmVB0BGVi4ebvbaecr0HAAG9mvDwaPXqlTu0zw9nMnI0HSIlRk5\neNZ7vI+OH9OLdd8dYO3GA6zZoOm0etZzIiNTk5+ZpcLDTf+XV28vV5Tp2b+tezZenq7aeZMmDGTF\n2l2sWLuLr1eHAdCksTepaRmE7z9Dx/bNadqkvgEZbijTNR1PhTKT+l6PO3BTQ4fy9artfLXyR5au\n0JzB//zrbTzftQ0D+nbCzNQUN1cnvRkADbw9UCg17Z2myKBBfQ/tvAUfLmPc6IEMCXyekhI1Ls6O\nTJ44nO+2hYMRx6l6e3qQla1ps7y8fFycHWnYwEv7JVChzMDbu2pXrPRlODs50LyZL4nJmjP93bs8\nRwt/v5pVpBy1kZGYpDnWTAgZxmefr9GZNj5kqEFnLA1x5140H368jInjgjAzM+U/ny6nb68uDBvc\nBzMzUzzcXWpU/osvjGTrj+FlfpwqMSmV/33xDV06tsXNteqfMYbkGHt7/bRzP9vDfmHb9nCWfKYZ\nGjx98hg2fLfDaD+9VV5Gbexf5eVMmzyG9Rt/YtmqTbzxz0/KdJ6ryr+ZL/cfxLL5+z1MmzQGZyfN\nCThjtn15GY/afeig3qxYvblG5VeU4+LsaPR2Ka8uPx88wffb97Fp224W/nsepqamRs+ojePKs2Zi\nYlLj//5o6rxTAeDg4MDcuXOZPHky2dnZBAUFkZWVpb1i0bt3b65c0Zwlj4qKIiAgoMpDnwBcXbzI\nzskAIDtbiYuLbufldMRefBu3wtFB80VNpcrExkbzBfTSlWMkJN7Xm+Hs5IlKpfmilKPK0HZWAO1V\nC5lMhkxmSkFBLkVFBdyKjCAp+QHRMTdITYvTm+HoWA9VriZDlZuJo4P7b+ubgamZGTdvnSQzI5n7\n9y+Rna3AybEeub8tn5eXhb29YWf57exctVcb8vOzsJM//gKb89vQJzMzC4qLC35b3u3x8gU52Nrq\nPzBb2zhRWKRp56JCFVbWj79YW1rZYW5u9VuOFSXFhajVxaSlRKLKSSEzPYbcJzo6FUlJzcLRwQYA\nJwdbUtJ0r6DY2VlTUqImL++pqxNVfD8nJqfj5KTpILk42ZGU/LhT5WBvS44qH4CxwT2wtbUiMSkd\nJ0fNMC5HBzkpaZllC31KfKICF2fNPunibE9i0uP6O9jLyc7RdJ4mju2P3NaaNEWmNjczS2XQ1ZD4\nhFRcnDUftK4ujsQnPu6EOjrIyfkt48UJg5HLbVCr1WzbfohDR89TXFLC/QfxejMAYuOTcXXRtLeb\nqxNx8Y874CpVHpu/38fPB0+jLlGTlJyGjbUVgX27EtCsMZ06tMS3sf4Oko5yDtDxCck4OGjawNra\nCmV6JtExCdovFa4uTiQkJBs1Iz0ji5QUBdm/dTTSMzO1X2yqm/F41uN5NcqoJCd0fBAXLl0nKeXx\nyQxzczPqe9cjOiahxhmB/TX3y0iSRElJCdZWVpSUqFn/3Q7CfzlGcXEJUXcfVjvD3c2ZwqIiRgUN\nwKeRN/37dMPL012bC5CemYWLi/5OflVzPOtpjr3G3F6PhgsVFhYht7XBzMwUGxtrBgf2pEVAU7p0\naoufr+FXwg3JgNrZv8rLcXF2JDNTc8wePrQfAc2blPm7qmQkP7He2Tkq7OzkNWt7PRk5qlzs7DSf\nCyOG9Sc7W8WFyzeq/oXRgLrI5bZGP7aUt72aNG6gnV9cXIKVlf4TroZmPLm9qv0+EeqM6b///e9/\n1/VKzJ07l9jYWC5evEjHjh3p1KkTX331Fffu3aNDhw60atWKX375hVu3bnH8+HHeeustHB0rf9Pf\nv1N26I27W32uXz9NVnY6aYpEunYZwoaN/6FD+75s2vopiUkPSUuL58z5/XTpNBAnJ3fOXThAenoy\nCmUi3bsO094fAVBYVFImw8XFm1uREeSoMkhPT6JD+4F8/+OntGndi4uXDqJQJhIbF4m9vQvNm3XE\nr0l7TGVmPHhwFQsLa/yatMfS0kanzKJi3RxnZ0/u3D2HKjeDjIxk2rTpx+49S2jbdgCNGrZCXVJM\ndPQ17O1daeTTmnoevly7fpSsrFTkcmca+7Qps96qvPwy0+ztPYiNvUJ+fhY52Wn4NX2e48e+obFv\nJyJvHyNHpSAh4SbeXi1wdmmAo6MX9+6dRpWjxMbGES+vAJ3yslRl28TaxgVFahSFhTnk52XgVb8d\nN6/uwMOzJTY2LiQnXqeoMAeZzAz3ev44u/oik5mSkf4QUzMLnF18MTOz1CmzoFC3LknJGXTu2ARH\nB1vqeThy7MQt5r4yhF/Pai7bDh/cnoNHrmu3s5WVOX16tqB5My9SU7NISS07XCy/ILfMtPgEBT26\ntcTZ2Q5vTxd+OXSRd998gWMnr5GekUP/3m3xbVwPmUzG8VPXiY5JYXBgRzw9nFCmZ3P5qm6ntai4\n7NjTuLhUevdoh6uLPQ283dn9cwT/eW8Gh45eRJmRzaB+nfDz9UZmasrh45d4GJPE0IFdcLCX4+Js\nT9jesvdtqNW6Z/5i45Lp26sDri6ONKjvzq7wE3zywSscOHwWZXoWgwO70axJA0xNZRw8co7ePdoT\nNOR5vDzdiItP4cLlyDIZxeXUJTo2kcC+XXFzdaJRA0+27zrEF5/MZ9+BU7wwdjCdO7SiVQs/Tvx6\nmai7Mfx69irFxSV079KW/PwCTkdcITfvcbkl5WQ8EjS0H4H9upORmc39h7Gs/PID9uw7wt37Mbww\ndjgBzX05d+Eat6Puc+fuQ8aHDKNBfU9SUpWcjrhYYbnVzbh7L5oxwYNwdnTAzdWZzd/vrlGGu5sz\nIcGD8W/uS3RMPEnJadXOqCzn80/ewb+5L419GjBuzFB+2rkf0Fy5OHjkNOkZhg2trCxjQsgwGvvU\np0P7liSnKDhx+jyB/Z8nZNRgGtb35GF0PBFnL1c7Y9uP4UScvYyFhQW9enQiISmFUxEX6dm9I106\ntaF508ZYW1tp62bMnNMRFykuLjHq9pr64mga1Pekd88unDh9nhu37nLy1wsUF5fQo3sH8vILOHn6\nPLm5ZY/x1c24FXmvVvav8nLiE5IZO3oIDerXo1FDb7b8sEd771V1Mu4/jGVM8CDqebhRVFTE/kMn\n6d+nW7Xa3qCMQk3GvDnTGBTYExdnR16cMIKf9x83+KpLVepi7GNLeRkjh/endctmtG/bgriEJH49\nU/3345MZHu6u2gzQf1x5bc40g3LrypoNe2p8pWLWtJF1XY0qMZEMHQj5B7N/r/4z/jWVnaP/IG0M\nOQZ8GNRU8jMYrxibZNgZ7JrKyKr9uiifGtZWGx5djaptRYV5tZ6Rm1f7dcnPzaj1DEEQBOH3ITbq\neF2vQqU69n6pxmVcOP6NEdbk2anzpz8JgiAIgiAIwp+JePqTIAiCIAiCIAhCFYlOhSAIgiAIgiAI\nNSKGPwmCIAiCIAiCEf0RHwlbU6JTIQiCIAiCIAhG9FfsVIjhT4IgCIIgCIIg1Ii4UiEIgiAIgiAI\nRvRXfPqT6FQIgiAIgiAIghGJ4U+CIAiCIAiCIAhVJDoVgiAIgiAIgiDUyJ92+JONjXmtZ6hyC2o9\nA8Dc7M/RTNaW1s8kRy13qPWMvILcWs8wNX027Z6Xn1PrGaZmFrWeYfYMMgByslKeSY4gCILwx/VX\nHP705/i2KgiCIAiCIAi/E+JGbUEQBEEQBEEQauSveKXir9eNEgRBEARBEATBqMSVCkEQBEEQBEEw\nor/i8Ke/Xo0FQRAEQRAEQTAqcaVCEARBEARBEIxI3FMhCIIgCIIgCIJQRb+LKxVr164lMTERR0dH\noqOj+fjjj7GwePzM+aKiIj799FM8PDyIiYlh5syZ+Pj41N0KC4IgCIIgCEIFTBBXKp45hULB6tWr\nee+995gzZw75+fkcOHBAZ5kNGzbg5eXFrFmzmDJlCgsWLHim6/jx//7O+YtHnmmmIAh/LCHBg/j1\nyPd1kuHk5MBH78/lo/fn1lnOjq1fM3xI3xpnGNOzyHhWOZVlWFpYcOrQVtq29v/dZ+jLMZY/S8az\nyqnr/asiVT2u/J6YmMhq/N8fTZ1fqbCyssLc3ByVSoVcLicvLw8/Pz+dZY4fP868efMAaNasGVFR\nUeTm5mJra1ulLLW6hO1hq6jv3YS4+HuMGzMbmcwUgO1hK3Fz9SIrKx1nZ3d6dB8KwK9nfsHR0aUK\nGWr2H1xPPY/GJCU/YMig6dqMqDsXyMvLRq0u4d6DK0wY+yYxsbdRKOIxMZFx49ZpQicswNTUtNKM\n0se8QsAAACAASURBVFI1h49uxN3Nh5TUhwzoN0Wbce/+JU1GaQkPH15jdPA8Dh5eT0lxERIQnxDJ\nC+Pfw07urLcupaVqLl4Mw8nJm/T0ODp2DEEm0+zkN28eIjs7FQAvrwAaNWqPSpVO5O2j2Du4U1xU\nQMtWgQZlRN3aj519PbKzkwhoOUT7RsrPyyA56RYWFrbk5ipo5j+A/LxMoh9GYCt3paS4EF+/Hnoz\npNJSHtw7iq3cjdycVHyb9dNmFORnoUiNwtzChvy8dHya9CI58Ro5WYkAyO3r4endTm8GgExmwtTQ\nfkTHpOLr48G67w5TKkkAzJ09nMKiYsCEgObevPbOeno/35LmTb0BuP8wiQNHrhqQIeOlyYE8iEmh\niU891ny7n9JSTcbrc0ZRWFiMiQm0aN6QV+evpHePVvj5ehEdk4KvTz1WrvtZb4apTMbfZgzn/sMk\nmvp6s+ybXdqMiSH9sLA0R6HMxMPNibXf/UKrAB8a1nenVJLo3aMN7364HnVpqf4cUxlzZo3m7oME\nmvk1YOmKH7U5kyYMwtLSnDRFJvXcnVm1fjdzZ4dgaWkBJtCmZRP+8eaXKNOz9GbMezWUO/di8W/m\nw/+WbtRmjA3uj42NFVlZKmxsrNjy437atW6GTyMvJEkisG8X/u+tRajV+usik8k4d+Ea+fkFZea1\n8Pdj2OA+KNMzyMzKYceuA7wycyKq3DwsLS2wsLBg2apNNcqQ21pz4NApBgX21E7z8nRn6qTRPHwY\nj1xuw5r1P+jNqE4OwJiRg0hJVRpUvr6Md954mZjYRNzdnElISuXHHT/jYC9nwtjhJKcoaBngx8eL\nViH99t6qTkafXl1wdnLA3NyMHt06Muf1D2tle5WXM2pEIK1aNCPyzgNa+Dfhg/9+XaMMgMmhwdx7\nEKt9bez9q7yMkOBBtG/XEoDrN6LYtj1cb4a+nJemjqOxT30ATpw6z/5DJ6vVLr/HjOq0SXVyqtMu\nVW17Y+/D5dUDqn5c+b0R91SU4/r163z66adMmTKF4cOHM3ToUCZN+n/27jsuijv/4/iLXnZhK11Q\nQFHsiL1hw27EHjX1EhPvfiZ3SS6X89Lrpd/lklyiRk00lpimUewasWHHggrY6H2XXXZZOvz+WF0k\nll2ENXp+n3n4eIT5zs57ZnZ2dj7zndl5kLfeeosjR440ewakUinPP/88f/7zn5k/fz4BAQG0bt26\n0TgajaZRASGRSNBqtU3OSjq+B4VczYB+o5HLVCQd32tpGxoziZhB9zFq5P3s278RAJPJgLakiFaB\nYTZnnDmbiLeXih5Rw/HyUnLm7AFLW/uIngQGhpNfkE7bMPOBauuQSMLDulGsySG4VXurBQVASupB\nvLxUdOs6FC+pktS0Q5a2tuE9CPAPo6gwg9DQrgD07jmeMaOfZOSIR2kb1sOmggIgM/M4np5y2rbt\nh6ennKzM45Y2R0cnfNRtkMsDUCjMO4Pk5C2EhvUiImIQ+QXnKC8vtZpRkH8GNw9vWoX0wN3dm/y8\nMw3LeWYLzs5u1NZWIZObMy6c301gUFdCWvdCq7lEZaXRakZxUSpubl74B3bF1U1KcWGape3S+V9x\ncnajtrYaL+8AwNxlKfUOQOLli9TL36Z1BdCvd3s0WgM7d59CU2Kgb68IS9uKNbv5YvEWVv2wh937\nzlgOVM9fzONSRgEXLuXblDGgbyTFWgPbfz2OpsRA/96RlrZlq3by2cINfPvdLn7de4ra2jrOXchF\nLpOgVHgxfEg3XJytb1+DBnShWKNn8/bDFGv1DOrXxdJ2Ji0DPx85QQFqhg/pAUDy2XSOHE8jOMiH\nMykZNhUUAEMGRlFYrCN+SyJFxTpiBkZZ2k6nXMLPV0GrQB9GDu8FwKofd/Lev1fyr8/XkHgo2WpB\nATB8SG8Ki7Ssi0+gsEjL8JjelrapccNZ+f0W1sYnMH70IOQyL46fSuPg4VO0Dgng5OlzNhUUAHV1\ndWRm51237flnHmfhktUsWfYjD86MA2Dthu0sW7mWRUvXMG70kGZnZGXnU1Vd3WjYH+fM4pcNO1j1\n/Qb69u6OSim3S463l5SAAB9S0i7aNH1rGd+s+JmVa9bz5eLVzJgy1rIsTo6OuLq6kJJ20WpBYS1j\n1+6DJJ9Oo0NEGHsTj1gyWnp9XS/nVHIaKpUcXx8Vk+8biauLS7MyQloFUF5eQVFxw3diS29f18uo\nr4eTySmcTTlP8pm0676uqTnV1dUknThD2rlLpKReAG7tfbkTM27lPbmVnFt5X5r63rf0Nny95biV\n/cq9KDExkddff53PPvuMzz67trjLzs7m6aefZtGiRTz77LPs3Gnfq25uWFRUV1fz0ksv8fe//x2T\nyURMTAwPPvggjzzyCMOGDQPgrbfe4plnnsFkMt3yDKSkpLB48WK++uor/vnPfyKXy/n8888bjaNW\nqykrK7P8bTQaUSptOzC+WlFxHjJv8+tkMhVFxbmWNpXSD4C9++KZNHEOANt3/sjwIZOx4fvLQluS\nj9RLAYCXlxJtSeODRT/f1owd/TiHjmymtrYGALncl5EjHiI9PRmDocRqhk6Xj1Ri3ulJpQp0uoJG\n7T4+IcSOeJSkpG3U1tYgk/kAcPzEDrp3G27zshgMxXh4eAPg4SHDYCy2tIWH96Vtu/60azeAvXuW\nAmC8enx3L8rKrBd+prIS3Ny8AHBz86Lc1LD8BkMBEqkPIW16k3EpkcpKI+UmLW7u5vFd3SSUm3RW\nMyrKdbi6SS6/RkpFecNryoxFeEpUBLaKIifrCFVVJtS+7QkI6kZgqx6cT9lMvY0Hyf6+cnQ6c5FT\nUmLEz6/hi6lIYy6wxo7swaZtxwDYfzCFbb+eYPP2JP742GgcHa2f1QjwU1BSYgBAW2LA31/RkFFs\nPsgeP7oX8ZsPAxA3ri/r4g+w+sfdfPTpz1TX1FrNCPRXodGaMzTaUgIDGnrqZk8bzoKl8SxYGs8X\ni9dbhhcW6Vj0zUa6dwlHqfCymgEQFKhGoy29nKMnKEBtaXt45mj+u2gtny/6mU+//BGAgkLz9jRx\n7EDWxe+zKSM4yI9ijfn9LirW0SrI19L2ytsLmBY3nFEj+lFTW4tKJQMgr0DDf75YTc+oSNSXhzVH\nUIAf+lLzdlFeXo5SISM3z9zLN3ZUDF8sXNHsjOsJCQ60HAgUa0oICrK9QG6KPzw0ha+X/9RiVw9f\nWTf3Tx3Hex8vBKB9RBi5+eZei/59etCxQ9ubTcImaefTeeOfnzNr+gRcXJzttr6uznF2duLRh6aw\ndNmPfL7gW/76j3evKdKa6oGZE1n1fXyj67dbevu6Xsambbv57oeNfLv6F95+7VmbTohZ8+PaLfzw\n82ZW/xDPv943X+bc0u/L75Vhj8/89XJa+n253nvf0tvw9Zajpfcr/4sqKip49dVXefHFF5k3bx5p\naWkcOHCg0ThfffUV0dHRzJkzhzlz5vDee+/ZdZ5uWFR88skn9O/fn/j4eF5//XX+8Ic/MGPGDKZP\nn86jjz7KSy+9xNq1a4mLi+PDDz+85RkoKChALpdbuol8fHyorKxEr9djNJq/iGNiYjh+3HyWPDU1\nlcjIyCZf+mSediD6UvOOQ6/X4KMObNSesOcX2oZ3QaHwpaammsqqco4d30NW9jnS0k6Qm5duNUOp\n9Md4uTAwGLQoFQ07pyu9Fo6Ojjg5OVNdXdmoJ8NT4o2xzPpBskLhbxnPaCxBLveztF3ptXBwcMTR\nyYnq6koAamur0euLUCoDr53gDXh5qS29DeXlerykDQd9hsuXPjk7u1JdXXF5fJ+G8SsMSCTWCz9P\niZLKSvMBbGWlAQ/PhoNkd3dvXFzczTku7tRUV+IpUVFZYR6/qrIMD0/rZ5TcPRRUVZZdfo0Rd4+G\n17i6SXF2dru8LO7U1lRgMjV0tzo4OlFbZ9sOM69Ah1wuBUChkFJQ0Pi99PbypKamljKT+T0JCmw4\nWK+pqcPN1frZntx8LYrLB+1KhRf5+Y2LUJn3lQzzeyKXSSg1mIv+mAGdCWvjhzW5eRpUSnOGSulN\nbl7D+pDJJBiM5undP2UIUok7A/t2trTr9GUoLq8Da7Jzi1ApvS/nyMjJayha5TKpZb5nzxiJVOoB\ngLOzE/5+KrJyCm3KyMrOR60yv98+ajnZV73OYDSx8vstbNmeSG1NLdk5BQwd3NPSXqIzoFQ0sai4\nTnd3dk4+Mpl5fbq7u6MtMRd/940bTmmpkSNJyU3rJr/JuFdPJz0jBx+1+TOoVinIybGtN6wpOS4u\nznh6ejA6dhAdI9vRp1c32oa1vuHrbM2YPWMCR46dIr+gCICCgmJKLxdmWp2uae/LdTJihw8AoL6+\nnpqaGtzd3Oyyvn6b4+HujkopR6cz7yfHjx1GZPvwW87w9VFSWVXFpAkjaNM6iOFD+hHgbz6J1FLb\n140ywkODLeNUV9fg7u762yk1KQewXAJTWVmFVOIJNHM7voMyoBnvSRNymvW+2PDeBwb4tug2fL3l\ncHZ2at5+5Q7h4ODQ7H83k5SURFBQEM7O5jsZevToQUJCQqNx1Gq15coejUZD586dr5lOS3J67bXX\nXrteQ48ePYiMjLxeUyNt2rShb9++loVqqpCQEE6fPs2BAwc4efIkKSkpPPPMMyxevJjz588THR1N\n586d2bx5M2fOnCEhIYEXXngBufzmB5OZl669LMbPtxVJJ/ai02soKs5hYP9xLFj8Or17Dmfx1++Q\nk3uRgsIs9u3fyMAB4+gU2QtnZ2fOph7Dzc2dzh174+7esIMoM1Vdk6FWBXHmbCIGQwkabS49e4xk\n1Zr36NZlMEeObaVYk0Nm1lm8vdVEtOtBStoh0jNOU1CYQXV1JdFRI66Z5m/PLquUgaSmHsRgLKGk\nJJ/u3Ybz09qP6NRxICdO7ECrzSU7JxUvLxXhYeZLSo6f2EFERC8kntf/Mi41ll0zzNvbj8zM45SX\n6zGUFtG23QASdn1FaFgvUs7uwmAsJifnNEGBHVGqgpHLAzl/fh9GgwZPTzmBgY23H1N5+TUZEomK\ngvyzVFYYKCvTEhwSzfGjqwkM6opEqiYn+zgVFXqcHJ3xD+yEl5cf2ZnHMJm0uHl44+Nz7RnLqurG\n74unpxJNUSqVlUYqykvwD+rG2VNr8fXviIenisL8ZKoqDDg6OaH27UBR/hkMhnwM+lw8POQolG2u\nyTCaDNcMy8nT0L93exRyKYH+CrbtOsELf4ljz/6zAEwc35tN25KoqjL3UMUM7Eh4qD/t2wVRUKjj\n5OmMRtO70pN1texcDQP6RKJUehEYoGLLjmP846/TSdibDMDkCf3ZsOWwJaOgUM/IYVH4+SoI9Fey\ncdtRyz0FV1TXNF5fWdlFDOrfFZXSm1aBauK3HuT1+Q+zIyEJjdZA7NBo2oYG4ujkyK+7T9Cvd0e6\ndQ4jtI0/7m6ubN5+7WWRNTXXFmaZ2QUMHRSFWiUjOMiX9Rv38c6rT7Bt52E0Gj2jR/SmXXgrHB0d\n2b7rqHkdjh3I7v0n0Omv/XxfKW6vlp6Zx/AhffBRKwgJ9uen9b/y0TvPsGnbfmZMGUmv6I50jgxj\nT+IJzl/IImZAD3pGRdI2LBgPdzfWbdx9zTSvFKi/NWHsMGKH9adEV8qFS5l8+Z/XWb9xJ+cuZDBz\n2ngi24dx6MhJzqZe4NmnHmVU7CBUSjkP3H8fm7Yk2HS270YZvj5KpsaNpkP7MNIzssnLLyLt3CVm\nTB1HcKsACgo17Es8anX6Tc3Jzilgz/4jVFfXMLB/NKbyCvbsO0xZ2bWfdVszPn53Ph3ahxHaJpjp\nU8by49otnDufzpS4USjlMnzUSlZ890uzluP+qeMIbdOK6KhO5BcUs3vfYbusr+vl5OQWMHXSaIJb\n+dM6JIiVa9ZTZ0Nv6PUyVn8fT+LBJFxdXRk8sBc5eQXsSzzKU3MfbLHt60YZY0bG0KVTBFHdOpKV\nk8f+A0nNXl+PPDCZ4FYBxAzqw+59hzmTcv6W35c7LeNWP/NNzZk4fvgtvS+2vvd7E49yKT2baZPH\ntMg2fL3lSD5zzqb9yjNPPWrTsv1elq3a2eyi4uFZ1x4TXnHy5EkyMjIYO9Z8mei5c+c4f/48sbEN\n97N27NiRpUuXkpKSQnx8PA899BAhISF2W2aHehsuTq2oqECr1RIYGEhdXR3r1q2jtraWuLi4Wy4m\n7G3PziaeZboFhUXXHljag6n82uKlpWXl2XbmtzmKtLfnhiujyfp9Fs2Vf9Wlc/ZSVXX9m+Zamqnc\n/ttxRcX1D8RbksmGS+FagkFfYH0kQRAEwa4yUxOsj/Q7Gj5hfrOnETcykKeeeuq6bYmJiSxYsICv\nv/4aMP9SakFBAS+88IJlnKeeeooxY8YwduxYtFoto0aNYseOHXh7ezd73q7HporgrbfeQq/X89FH\nH7F48WLWrl2Ln58fJ06c4M0337TLjAmCIAiCIAjC3aglfv3pRgUFQFRUFHl5eVRXV+Pi4sKxY8eY\nNWsWer0eJycnpFIp+fn5+PiYL4n09vbG0dHRpl6lW2VTUZGRkcHy5cupr69nzZo1LFu2jODgYKZN\nm2a3GRMEQRAEQRCEu5G9f1LW3d2d1157jTfffBOVSkX79u3p27cvH3zwAXK5nDlz5vD3v/+dZcuW\nkZSURFZWFs8++6zV2weaw6ai4kpVk5iYSJs2bQgONt8IJJXadkOmIAiCIAiCIAgtp1+/fvTr16/R\nsOeff97y/9HR0URHR9+2+bGpqGjXrh1PPPEEaWlpvPHGG1RUVPDdd9/h7u5u7/kTBEEQBEEQBOEO\nZ1NR8eqrr7J7925kMhndu3fHaDQik8ka3QwiCIIgCIIgCIL5p/3vNTYt8cKFC4mJiaF7d/NToKVS\nKdu3b7f7k/kEQRAEQRAE4W5j7+dU3IlsKir27bv26bWfffYZW7dubfEZEgRBEARBEIS72b1YVNz0\n8qf5882/sXvx4kXL/19RUVFBWZn9f3teEARBEARBEIQ7202LiqCgIABcXV0t/3+FRCLhmWeesd+c\nCYIgCIIgCMJd6G7saWiumxYV8+bNAyAsLMzyGHBBEARBEARBEISr2fTrTzcqKB577DEWL17cojPU\nUjzcXeye4e5m/wyA+nr7ZyhkXnbPqK2ttXsGQP1tWGHeUpndM6qrPeyeAeDoaP9fqHB2sv9n5XYs\nB0B9vf2eRnqFyai1e0Zd3e35PAqCINyL7sVff7KpqNi+fTsffvghOTk51NTUAOYDt3uxa0cQBEEQ\nBEEQhMZsKiref/99nnnmGdq3b4+bmxtgLiqee+45u86cIAiCIAiCINxt7sUT7zYVFW3atGHMmDHX\nDL9TL30SBEEQBEEQhN/LvVhU2HTBV0xMDIsXLyYtLY3c3FzLv8cff9ze8ycIgiAIgiAIdxUHB8dm\n/7vb2NRT8eabbwLwwQcfNBp+L1ZhgiAIgiAIgiA0ZlNR0atXL5YvX37N8Mcee6zFZ0gQBEEQBEEQ\nhLuLTUXFkiVLrjv8q6++atGZEQRBEARBEIS73b14NY9NF2y5uFz/N+YffvjhFp0ZQRAEQRAEQbjb\nObTAf3cbm4qKDh06EBkZec2/w4cPN3sGcnJyiI2N5aGHHuLBBx9k8uTJzJ8/v9E4VVVVvPnmmyxc\nuJAXX3yR9PT0ZucKzVdTU8WSpX8hP//C7cusruTEiXh27vzvbcsU7gzubi48PCuWf7726O89K//z\npsaNYv/O736XDIVCxpuv/IU3X/nLNW0/rfqM8WOGNjujpf2e6+tuy7hdOf8rGdZy3Fxd2bt9Fd26\ndLBbRku5Hcsh/L5suvypW7dufPzxx5a/S0tLSUhIQCZr/lOFJRIJb7zxBv369QPgs88+o3///o3G\n+frrrwkMDOSxxx4jLS2NF198kRUrVjQ5q7a2hlXf/5eQVm3JyDrH7BnzcHR0AmDVms/x8w2iRKdB\nrfIjZtB4ijX5bN3+A/7+wZSXlzFu9CwbMmrZsOkrAgPCyMm9wH3j5lgyzqYcpsykp6amhnPnk3hw\n1nxKSgrZs38dPuogKitNDBk81aaMLduW4u8fSl7eRcaM+oMlI/XcEUymUmprarhw8Tgzpv2NjMyz\nFGuycXBw5PSZfcya8SJOTk5Wc+rqatm7dxVqdQhFRRkMGjS70VOLT5zchlIRaPk7NzeNkpI8HBwc\nOH/+MOPH/8UyXzfLSDq2FrkiiBJtNj2iJ1syzpzZgcFQCEBAQCQhId2pqq6gdUgUmuJ0q/N/dUbq\n2a14efth0OfTodNoy68qlJtKyM87g6ubBFOZhnbth1Nu0pGRfgCJREVNTSWh4QNtynF0dGDm1P5k\nZhfTOljNijX7LU/3Vqu86NkjDIOhHH8/OT+uO0SPbm1o09qHgkI9Pmov1m44alPG7BmDyMwqpk2I\nD8tW7bZk/GnOSCqranAAItoFMv/VlYwfE01FeRUuLk64uDjx83rrJwIcHR35w4MjSM8oIKyNP18t\n20pdnTnj2XlxVFZW4+AAke2DefpvC3n0gRG4ubpYhr305reU6Iw25Tz56FgupucRHhbIl4s3WHLu\nnxKDq6sLxZpS/HzlLP12KxKJBwn7TtIhItjqtK9wcnTk/56YxPmLOUS0DeY/X/5gyXhgxkjc3Fwo\nKtbh76tk4dfr8ZJ6MnHcAAqLdES0DebzRT9bfUK7k5Mjzz31AKnnMugQEcoHnyyjrs781O1pk0bg\n6eGOvtSIp4c7K7/fTPeu7QltHUhdXR2xw/ry5799QG2t9ad0Ozk58vfnniAl9SIdI9vy9vtfWnJm\nThuHp6cHer0BT08Plq1cy4ih/ekU2ZaMrFxaBfnz2Zff2rTOHB0dOXTkJOXlFde0dezQlnGjh6DR\nlqDTG/hp3Vamxo0iqnsnAE4lp7L6h/hmZUglHmzdvpdRsYMaDZ8ycRQFhRqblsFaxvy/PklGZi6+\nPkpy8gr5/qdNBAb48siDk7l0KRup1JNFS9fYJael19f1Ml564U+4u7vh4OBAdFQnHnr8eQqLbv6U\n9ptlDBncB6VChouLMwP79eSp597gT3NmYSwz4ebmiqurK58vaP72db2c6KhOhIWGUF9Xx5hRMTwx\n72Vqa2/+NPimZky6L5bOHSNISbtIxw7hvP7OZy2+HDJvKfdPG09+QTGdItvyzw8XWN23WMsBeGh2\nHOcvZlr+vpXtuKnLEjusP50i21n2LZ9+ce09t7/HctxpHMXlT9e3bNkygoKCLP8iIyOZO3cuu3bt\navYMyOVyS0FRVVVFcnIyPXr0aDROQkIC3bt3ByAiIoLU1FTKysqanHXk2G6UCh8GDxyLQq7myLHd\nlrbY4VMYNiSO8WNmk7DHvJNfv/Fb+vWJZVjMRFJSj6MvvflOGeDU6X3IvNX0io7F21vFqdP7LW2R\nHXrRKrAtefmXaNc2CoCdCWvo0X0I/fqM5cLFUxiMOqsZZ1IS8fZW0aP7cLy9lJxJOWBpa9+uJ4EB\n4RQUphMeZl5nrUMiCQ/tRnFxDq2C2ttUUACcv3AEqVRJx46DkUgVXLhwxNKm1xfi4uyGp0RuGRYY\nGEFwcCdKdPn4+4dbLSgAsrJO4OEpJzy8Lx6eMrKzTljanBydUKvbIJcFoFAEAeDpKcPZxc2m+b+i\nIP8s7u7etArugZu7FwV5Zy1tqWe34uziRm1NFTK5OePihT0EBHYluHUvtJp0KiutHyAD9OwRhlZn\nZM/+VEp0Jnr2CLW03T+1H+XlVbi5uXDxUgEAgwZ0YP/BNPYdSCMkWE3rELXVjN7RbdGWGEnYewat\nzkjv6HBL23c/JbL4m518v/YA+w6kUltbx97EFLbsOMGGzcfo2zvCpuXo36cDGq2B7btOoCkx0K93\nw5mj5at/5fNF8axYk8CuvcnU1taxLv4gny+KZ8HSLRxJOm9TQQEwqH8nijV6tuw4ikZTysC+nSxt\nZ9Oy8PWRExigZNhg83as0ZZSbqq0adpXxAzqTlGxjo1bD1Cs0REzoLul7UxKOn4+CloF+jByWC8A\nHpw5EkdHR1xdnblwKcemL/0RQ/pQUKhlXXwCRUVahsf0srRNjRvByu83s3bDLiaMGYxc5sXxk6kc\nOHSKNiGBnEo+Z1NBATBqxCDyC4r5cd1WCgo1jBw+wNJ2/7RxLF+5jh/WbmHSfSNQKmRMiRvJLxt3\nsnb9diLbh9Mpsq1NOXV1dWRm51237flnHmfhktUsWfYjD86Msww/mZzC2ZTzJJ9Ja3ZGVnY+VdXV\njYZ5e0kJCPAhJe2iTdO3lvHNip9ZuWY9Xy5ezYwpYwH445xZ/LJhB6u+30Df3t1RKeXXfW1zc6Bl\n19f1MpYs+4GXXv8Xb7zzGbt2H7RaUFjL2LX7IMmn0+gQEcbeRPP3wNoN21m2ci2Llq5h3OghNi3H\nreQcTTrNvsSjhLYJJunEGasFxa1knEpOQ6WS4+ujYvJ9I3G9wSXfzcn445xZODk64urqQkraRZv2\nLdZyQloFUF5eQVFxw/t7K9txU5dlStxo1sXv4OdfttGxQ1s6Rba7I5bjTnMv/qSsTXOs0WgaPZ8i\nPT2dbdu2cfGi7Tt4W8THxzNu3Ljr5kskEsvfEokErdb6TvK3CgtzkHmrAJDLVBQW5Vra1Cp/AHbt\nWc+MqXPN4xflIpcpAfD2UlBcnG81Q6PNw8tLcfk1SjTaxq/x92/DxPFPcuDQRmpqqtFo8vDyMmdI\npXJKSgqsZpRo8/GSmjO8vJSU/CbDz7c1Y0Y9zuGjm6mtrTEvr9yXkSMeIj0jGYOhxGoGmAsHT09z\nb5REIkdfWmhpO3lqO507D4Xf7Bi9vdUM6D+d7JwUysqsF0hGQzEeHt4AeHjIMBiLLW2hYX0ID+9H\neNv+7Nv3jU3zfD0mkxY3NykAbu5emEwN246htACp1IeQNr1Jv5hIZaURU5kWN3fz+K5uEsrLrS8H\ngK+PN3q9CQCdvgxfdUNPXnCQirz8EnYmnGbUiK54Sd1Z8d0+unVpTe+e4Tg5OaKQS240aQs/lH4W\nDwAAIABJREFUXxk6vbmg1unK8PVtyNBoDACMHNaNbTtPNhrWp1c71m6w7XLFAD8FJSXmwkBbYsTf\nT2FpKyrWAzBuVE82bjnSaNio4VFs2XHMpgyAAH8V2hLz/GlKSgnwV1naZk4dwlffbOKrbzazYKn1\nM7k3EhSgRqMtBaBYoycosKFwe/D+kXyxeB3//Wotny78CYC2oUEUFJawYXMiPaPa0y68ldWMVkF+\nFGvM20iRpoTgID9L2ytvfcG0uBGMHtGPmppa1Crz+5VXUMwnX6wiOqojapVtX5YhwQGWL93CIg0h\nwQ29hH9/+UPunzaOcaNjqK6uQaVS8PZ7XzBkUG/GjorBxdkJX1/VjSZts6AAP/Sl5m2jvLwcpULG\nxq27+e6HjXy7+hfefu1Zm09aNMUfHprC18t/arErjHPzzPuy+6eO472PFwIQEhxoWb/FmhKCgvxb\nNOf9jxcBtPj6ul7GlWEzpo61qSfEFmnn03njn58za/oEnJ2dLBljR8XwxcKmXzlgaw6Yl+eDf39F\nn57d8FErWzzj0YemsHTZj3y+4Fv++o93rylqWyKjfUQYufnmnqT+fXrQsYNtRf7NPDBzIqu+j290\n7b09tuPfLstb7/2XoYP7MG70EJydnfBr5r7ldi3H7ebg4NDsf3cbm4qKYcOGMXz4cIYNG8awYcMY\nP348H3/8Mc8//3yLzszmzZsZO3bsNcPVanWjngmj0YhS2fQdi69vEPpSc/e5Tq/B1yewUfuOX9cS\n0bYrCoUPAP6+rdDpzRt1qaEEtdr6Rq1WBloO2ksNWlTKhtckX+61cHR0xMnJmerqKtTqQAwG7eXl\n0qFQ+F070d9QKv0xGM0ZBoMWxVUZV3otGjIqG/VkSDy9bTrYB5DLfDGZzAeMZWU6ZN6+l/+/BCcn\nF1JS9qHTF3DpUhKlpcWNejI8PLwwmUqtZki91JSXm8crL9fjJW046DMYigBwdnalprppZ6iv5ump\ntPQ2VFYY8PRs2Hbc3L1wdnEHwMXFg5qaSiQSFZUV5vGrKsvw8LDtoK+wsBSZzBMAuUxC4eWDbYAS\nnZEyUxUAZaYqPD3dqKurY+uOkxw6coGamjqyc6wXyvmFeuQyc/Ehl0soLNQ3avfy8qCmphbTVWf0\nB/Rtj8lUSdq5XGzZR+Xll6BQmIsqpUJKfkHjIlTm7UlNTS1lpoZubGd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8iBk4DoVCzeGj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\nvIFbIBAIBAKBQCAQXHtcch1swoQJbN68mfPnz3PmzBn0ej2tra2o1WoGD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RN6QzXjx07m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ZCspX2F9++QULCwvc3Nz417/+xdKlS3WaUVZWxptvvomXlxfdunWjpKSEpKQknWZA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\nFhaYmZnh4OBA8+bN2b9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xy8nLIyK8CwdiYkX/aRmZrN++i+CgAHJy85g8ZqRdOmVaizdFlqYpiRfHPSGm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Xl5/Hrxo1fl0UCSj16VR0MHcy4rW3BcLuPk7MSA+aMxFFSgDNOQ+mWSvW71UUkJGxBFfXUdUq2C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hNjx1BeVkFuVj7vfvoqWxN3kZ2Zx4L7ZhPdO4LUI2mkX8hi5typ9BkQzYAhfdEUaDl26MTP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\nLU33nZ2dHZmZmZw8eZLy8nJKSko4d+4co0eP1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bkqXIZvvm3chsbVCWKrl9K0EVd/niNRyd7Wnk5szAoD4AXLzwF2dOXMDdw5XL\nkVe1ujmuTmP5V9+x4IPFrFyygd92H6K0VFkrDU06JSUlXIq8SsyNW0RfiwVAkZ5V4zqrTuP4kTNc\nuxJNc08PTp84D9SuvjTpVNb+U2aMRVdXFwNDA25cv6nRmQCIvhbLiq/WE/rTXiwszXFycVDFVdb2\nU2aM5bfdh9ix9Vc6dPJGZmutlS3V6bi4OnG38B6KjIcb+9TmnKlOoz7Py7KyMpISUiqNq886q06n\nsn4WNHwAv+0+RFjoQTxbNsOrVfM661TWz2pzbW7q40V+Vh7Xjl4iPzuPph09VXFdx/em+G4xBkaG\npMUkA9Ah2BddXV309PXJjM/Q6EwAnI29jszcgp4t2yEzs+DszShV3PONm9PEzpH4zHTaunoA4O/d\niZd6+jOxe3+83Ztq5UwAHPszEjsbawZ29UVubaXmPDjbyTHQV38euP/Uafr6+NDPtzOxCYlEx8c/\nnmUFjpw6g72tjEF9emEns+Ho6bOquJUbtzB+6GDGDB7E9rD9lJWVEXboMP16dMO/Vw9u3IojKvam\nVrYcPnYcezs5QQP7YSe35fCxk6q4ZWvWEzJ6BGNHDGXbL3uQJIm8vHzS0tNp5qH9PiCHjkRgb2fH\n4EH+2NvJCT8aoYr7ZuVqJo4fw/jRI9m6fSeSJLFu42YG9vNjeHAQ5//4k8ysbK10wiOOldviP6Dc\nlojjD21ZvZaJY0YxbuRwtu3chSRJeLdpTacX2nM7IZE2rVpqdCZUtthXZcsqJo4fy/gxox7a8v0m\nBvb3Y/iQwZz/I5JMLTcv+6fpCJ4uDeZQmJubM2fOHN544w3ee+89nJyccHd3V0tTH7v6+fn3IPzA\nsUpvclKT0wEYMjqAbxauUQvz8+/Bdyu0Hw2pqU5tqE6jMn7fF0HoT3v5efNuPvhktuoJQF10nJwd\nyLtT7gTeLbyLjcxKewMqobRUyaZ1P5OUkMKLfbqowqfMGMs3C9fwzcI1LP7sW1V4anI6S79YS3uf\ndtjaabchS1UaD9pl1PjB/Lx5d500qtPZs2M/u7fvI3RrGJ9+PVfr/GqiARB7I44v5i9n+JhA1Y9U\nfdvyaPsXFpS3f3MvD1JTykfefLq0x/O5ZlVlqyIjPRNJknBr7EJ8XCKJ8cmquMravpGbM4r08nM/\nKzMbJxdHreyoTmfk+MHs3BqGziNDybU5Z6rTqIzanpfVUZ91ponH+9mXn6ygW89O+Pn3RF9fDzuH\num8wVdlT+WA+AAAgAElEQVR1pjbXZisHawpzyvMpyM7H0uGhUyV3sycrScGV3/+gnb8PJpam2LrZ\nk6e4w9UjF3Ft3Rh5Y4eqslaRdicba1NzAKxNzUm/o34j6mprT0j3fvz+1wVKlUrkFuXXzPCrf9K7\n1fNa2QGQnJGBzKr8u7ZWVqRkZFSbfuaIYZy+coXD58t1M3NyNWokpaZha2NTriGzISk1TRWXmqHA\n0rzcTmNjI3Lz8pg1dRInz//B78dPUqosJUPLm/DE5BTk9zfUktvKSEp56FimpqVjaVHuZJmamJCd\nm8uW7aGMHhaslYOn0khKRm57X0MuJzHp4XmZkpqG1f0N90xNTcjKzlFLL7OxISU1tea2yG1JTH5o\nS0paOpaW5baYmBiTfb8NnBwdeG36S1yIvIgiU/M9TWJSEnLb8vNKbmtbtS0mpmRlZ6vbIrMhJUVL\nW/5hOn8ndHV06/z3rNFgJb5+/Trr1q1j7dq1fPbZZ1hbW7N8+XK1NPWxq59b40a4uTeiaw8fmjR1\no6Ov+gV8+NhAIs9fJi01XRU2MKgPd3LzibxwRethqtroQM2GwTRpAGo3R409XFWfS0pKMTI2rLNO\ncmIqllblF0hjE2Oysx7+SNV0SM+7Q2usrMsvHOmpChyd7FVx1jZW3MnNAyDk5ZFYWJrT06+rKj4n\nO1erJ67VaQDYyKwoKSlR3bzURkOTjtv96U5FRcWYmanv5lqTOqtO40G5JUmipLQUYxPjJ2LLo+1v\nYlre/umpClX95WTnYG2jnZPZ9vnn6NDZm7XLN6s5ppW1fXxcEnL7+z8otjakJGn/g1KZjtxeRnFx\nMQHBfXFr7MKLvX1xcLKr9TlTlS0PqI/zUpVXJX2mvuusKp3K+pmyVMmWDTs5uPcIJSWlxETdqrNO\nVdeZml6bc9OyMbUuvwk2szHnTlqOKi4/K4+igvLpVkUF9zA0NSoPKywPu5tXiImF5t2XHa1syCm8\n3/8L87G3tFHFnbs/WqGro4Oerh7FpeWjVaVKJYq8HJystXe+XOzsyMotr4fM3Fyc7OwqpHn0IZCe\nrh7DeveiV4cXMNDXp4mLs0aNRo6OZGaXOwWZWdm4OD50qJzs7cjNK+9j94qKsba0RE9Pj1GB/vTt\n1gUDfX2aurtWmm8FHRdnFPcfDioys3BxclLFOTs5knvnDgB3797Dwtycu/fuER5xgqiYWC5EXuRm\n3G2NGq6NXFQ36wqFgkaP2O/i5ERu7kMNmY01bo+kz8rOxslROwfc9VFbFJk0cq7clnv3irCxtuLw\nsYcjGDZWVmRla3bCym3JLNfIzKzGlrvIbGxwc2300JasbJyctLTlH6bzd6Ih9qH4u6H38ccff9wQ\nQn/99RfXrl1j6NChAERHR5OTk0O7du0oLS3F0NCQzMxM0tLSaN++PVFRUVy9epXRo0dXm+/Krzeo\nHf957jIpSWl06OSNvYOcsyf+4J2PX2PfnnA+WfQezb08cG/iypBR/uzesZ+Zb06mz4DuyGytGTEu\niN9/O0pJcUnlYnXQMTUzIXj4QJ7v0IbE+GQSblf/VFOThtxeRtCwAbRo6cHtuETSUjLwH9yHlm1a\n0Ob550hKSOHcqT81amjSuRlzm2FjBtHCy4MLZy4RfT22VrYAuLq7MGJcEDJbG7w7tmHbpl0s+Op9\n9u0JR5GehX9wXzxbNkVXT48Dvx7mxT6+tPdpS7MWTTAxMWbPjv110oDy9Q3bNu2m6F4RQK00NOmM\nnTgUFzcnuvboxMmIc0RdjalVnVWnMWRUAO4ejfBu34r0VAWnjp17IrZU1v6xN+IIGtYfaxsr5HYy\ntdGequjaw4d3/vMaSqWS/gG9KC1V8upbU6ts+5joWwwZGYCLqxMZ6ZmcOXFBK1uq0tm5NYxzp/7E\n0MiQLi92JCU5jTMnLuDn36PG50x1ttTneQkwILA3Pfp2ITfnDnGx8Sxa+d96r7PqdCrrZz39uhI0\nfAAurk7ExyXWiz2V9TNN1+b2Lk0r5J+dnElTH0/MbCywdrLhangkA98cSvTJq2QnZ9KyRxvMZRaU\nlSiJPRtFVqKClj3aYmxhgqm1GVcO/qGWX+PGNhU0nKxtOXvzOtkF+aTmZtG71fMs/m0HXVu05vDV\nP0nOySI6JRFbcwvauZeP3oVf/ZMOHp5YmlS+S625o2WFsEYODhz7M5LMnFySMtIJ6NaVj1etoY9P\nRxQ5uew/dZrYpCQa2dvjIJNxIvIi+06dIkWhoJG9A+1bqr94wMC8orPk5uLMkVNnUWRnk5icSlC/\nPrz/f4vo92I3mrg1YteB37kRF0/71i1p4dGEiDPnCDt0hOS0dFydnenYrk2FPHWNjCqEuTdqxOFj\nJ8jIzCIhKZnggAG88/ECBvTphYe7G6Fhv3Ej9hbtvdvQskVzOnd8AX0Dfc5e+BMTExN8fV7AzFS9\n/Lr6Buoabq6EH40gQ6EgPjGJoUGBvP3+Rwzs1xePJu7s3LWH6JhYOjzvjWeL5jRr2oRfdoeRmJyC\nndwO307q7/MHkMoqTht1d3UlPOI4CkUm8UlJDAn0538/mseAvr3xcHcndE8YN2Jv0t67LZ7NmxFx\n8jR/XLxEzM1b3LtXRJD/gAp56uipT19zd3Ml/EgEGYpM4hMT79vyIQP7+eHRpDE7d+0m+kYsHdo/\nZktSMnZ2cnw7+VTQqIxnWUfPSLPz/zRZ843263Gr4uXXJ9RDSRoOHUnb+TR1pKysjAULFmBoaIiF\nhQUxMTG8//77rF+/Hmtra15++WWKiopYuHAhcrmc+Ph4XnnllQrToh6nrXuPhii+QCAQCP5GTPXx\ne+IaPXtoP4e/Lji2c3niGiaO8ieuAaBvWdE5eiI6xk/+hrKspFhzonpA17CiEyaoHkPLuk+1fJL4\nNOtf5zzOxmj3UPDvQoM5FE8K4VAIBALBvw/hUNQM4VDUHOFQ/H35uzsUnZpVHImqKWdi9tVDSRqO\nBnttrEAgEAgEAoFA8E/nWVxUXVeEQyEQCAQCgUAgENQTz+Ki6rry73OhBAKBQCAQCAQCQb0hRigE\nAoFAIBAIBIJ6QleMUAgEAoFAIBAIBAKB9ogRCoFAIBAIBAKBoJ7Q+Rc+r//3WSwQCAQCgUAgEAjq\nDTFCIRAIBIJ6oyH2hwDo3sXtiWvYt3J84hoAxnayJ65hYF1x1+9nmgaYo16mLH3iGgC6/IP2oXi2\ntzarN/6Nb3kSDoVAIBAIBAKBQFBP/BsXZQuHQiAQCAQCgUAgqCd0+Pc5FGINhUAgEAgEAoFAIKg1\nwqEQCAQCgUAgEAgEtabBHIqkpCT8/PwICQlhwoQJDB06lPfee08tTWhoKKNGjSIkJISQkBB2797d\nIGUzMTFmxqxJLFv/+RPX+n7HMvoF9HriOk+SJ1VfhkaG7D32I63beT1RnX8q/8T6qs35EjSsP/tO\n/PSEStSwOv8kWwT1R86dOyz8di0Lv137tIsi0JJJM9/gQPjRp10MQQOhq6Nb579njQZbQ2FmZsa8\nefPw9fUFYNmyZXTp0qVCusWLF+Ps7FwnLZnchn4BPbmTm0f3Xp1Zu2wTsTfiAJj/5bvcu1eEDjq0\ne6EVYwKnYW5hxsG9R2nt3fKJaZSWKgkc2p+MtMx6s8XJxYE+A14kOysH98aNWLF4PRaW5gwbM4j0\nVAWezzXj689XIWl460J1GhNeGol740YAnDx2jvD9xzCzMK1xfWnSARgdEsyt2HjVcW10qtOY9e50\nEm4nY2cvIyU5nV0//0bPvl3watWchPhknBs5smbpD3XW8XyuGf0CepKlyCY3J49fQw/Uql269vDB\nu0NrkhNTaeP9HAs+WIxSqQRg8vQxGBkbkp6mwNHZgRVffVerfqxJp7L2r02dVafRrWcnrG2sMDDU\np3PXDrzz+jyAWp0vurq6XDh7ibt371WIGzYmEFMzE3Jz7mBqZsLW70N564OZGBsbqc7VGRPnoEjP\nqpNOZedlwBA/WrZuwY3rN/Fs2ZSF85bVSaOyOgsa1p+2z7cC4OqVKHZuDdOooUmnsr7s6GzP2ElD\nuX0zETMLUzau2aZRQ0dXh27j+6C4nY5dYweO/fA7Ull5/7eQW9GskyeFdwqxcZJxelsERmbGtOrj\nTUFWHvLGDpzYHA5avDxGWVbGltPhuNnac1uRxnjfPujqlv8wR8bHkHfvLqVKJZeTbvF63yGcj4sm\nTpGKg6UNGXm5DH2hm0aNUqWS1aG/4OHiQkxCIjOGD0XvvsaqnaE429mRmZuLg0zGwC6+pGVlsfPw\nEVzt7Sm4d49Rfn01G3JfZ9n3m2jW2J3om3G8MXkCenp6ABTcvUuPzh05cvqsKn1qRgbbfv0NNxdn\nCgrvMi44ULNGqZIlK1fTvJkHUTdimP0/r6g0rt+I4WD4UWQ21lhZWjBoQD8iL18hLj4BXV1dDh2J\nYNGCeejr6/0tdEpLS1m8dAUtmjfjevQN3n7j1YcaUdEcOBSOzMYGKytLAv0HkpKaypaftuPu5kpB\nQQETx4/VaIfKlm/X0LypB9Exsbw5c5pKJ+pGDAePRCCztsbS0oJB/cvfeLZn30Hs5LZa5d+wtjSg\nzrKVtGjWtKJOdDQHfj+MTGaDlaUlgf4DynW2bcfdza1cZ9wYrevu78K/8S1PDeYCWVtbq5yJ4uJi\nrly5Qvv27Suk++GHH/juu+9Yvnw5ubm5tdLKUmSzffNuZLY2KEuV3L6VoIpb/tV3LPhgMSuXbOC3\n3YcoLVWSkZ5JQUHhE9WwsDTH0dmOG9dv1pvOrHenU5BfgImJMVcuXgdgyoyx6OrqYmBowI3rNzXe\ntGrSKCkp4VLkVWJu3CL6WiwAivSsGteXJh0XVyfuFt5DkfHwZq42OtVpbN0Yyo4f97Bh1VaGjPQH\nIGj4AH7bfYiw0IN4tmyGV6vmddZ5bc5LbFi1lc3rdzAqJBioXbtEX4tlxVfrCf1pLxaW5ji5OKji\nLl+8hqOzPY3cnBkY1AegVv1Yk05l7R84rH+N66w6jeNHznDtSjTNPT04feI8QK3Pl7KyMpISUiqN\nGzZmEFs3hrJ7+z4GBfthbWPF5u+2s+CDxSycv4zjR85o5Uxo0qnsvLx6ORqZrTV29rYMGtoPA0OD\nOmlUVmcAf12+TtS1GK5didbKDk06VfXl33YfYsfWX+nQyRuZrbVGjaY+XuRn5XHt6CXys/No2tFT\nFdd1fG+K7xZjYGRIWkwyAB2CfdHV1UVPX5/M+AytnAmAc7eikJlZ0MOzLTZm5pyLe1gP3m7NaCx3\nJD4rnTYuTQA4FnWJrs1a0b1FG+Iz07ilSNWocTzyInJrawb4dkZubcXxyIuquOCePQjs3o3R/fzY\ne/IkAD/uP0Cfjh0Y1L0bF2/cIPtOnla2HDl9FjtbGYN698ROZsPRM+dUcS4ODhjoqz8P3LhjF/1e\n7EZwv778ceUvsnI0/36GRxzD3k5O0MD+2MltOXzshCpu2ep1TBwzknEjh7EtdDeSJOHdpjWdXmjP\n7fhEWj/XUitnoqF0Dh2JwN7ejsGD/LG3kxN+NEIV983KVUwcP5bxY0axdftOJEli3febGNjfj+FD\nBnP+j0gys7Q79w8fO37fln73bTn50JY16wkZPYKxI4ay7Zc9SJJEXl4+aenpNPNoolX+DWlLg+rY\nVaWzmonjxzB+9MiHOhs3M7CfH8ODgzj/x59kZmVrWXOCp8lTGVMJCwsjICCgQriPjw/Tpk1jypQp\ntG7dmjfeeKPWGqWlSjat+5mkhBRe7PNwJCQ1OR2AUeMH8/Pmuk2pqonGuMnD2LJhZ61enV2VTnMv\nD27FxrN9yx7GTh6GzNaa5l4epKaUP3336dIez+ea1Uljz4797N6+j9CtYXz69dyaF15LnZHjB7Nz\na1i9vBlBU7sMGR3ANwvXAPDlJyvo1rMTfv490dfXw86hJk+RKtdxcnYg704+AIUFd7GRWdWqXTLS\nM5EkCbfGLsTHJZIYn6yKmzJjLN8sXMM3C9ew+LNvtS5zTXUqa/9FC1bWuM6q0wCIvRHHF/OXM3xM\nIPr6enU6X6ri43cWMmzMIPoF9KK0VImt3OZhnxjlT+hP2j3R10Rl5+W4ScPYsn4Ha5dv4qO3P6ek\nuKTOOo/X2cHfIgj9aS8/b97NB5/MVj0BrAuP92WZrTWN3JxVjldWZjZOLpr3arBysKYwpzyfgux8\nLB0eOiFyN3uykhRc+f0P2vn7YGJpiq2bPXmKO1w9chHX1o2RN3aoKms10u9kY21qBoC1qTnpd9Rv\nRFxldkzo4seha39SqlQy3rcvkfGxnI69hrKsjOwCzTf7yQoFMktLAGRWlqQoFKo4B1n5fhJ7T5zg\n5eDBFdJbW1iQlqXdqFtSahq21uX1JJfZkJSaVn36tIfpbaysSM3I0KyRnILt/TLb2dqSmPzwvExN\nS8fS0gIAE2Njsu87KE6ODrw2fSp/XLyEIlO7G8qG0ElMSkJuW34tktvakpj0UCMlNQ2r+21gamJK\nVnY2iUnJyG3LyyST2ZCSotmZBEhMTkF+3xa5rYyklIfOeGpaOpYWFvd1TMjOzWXL9lBGDwvW2ilu\nUFsaTOfh9+RyedU6piZkZeeo69jYkJKqnc7fCV0dnTr/PWs8FYdi3759+Pv7Vwh3cXHBxqZ88x1f\nX1/OnTun1ZPcx/Hu0Bor6/IOmp6qwNHJXi3eRmZFSUmJ6ofyATUZoqqJhr6BPiamJvTp3x3P55rT\noXM7mjRzr7NOeqqCvNxyG/Lu5GNmblYedt+unOwcrG2s6qThdn+6S1FRMWZmpmrfq+mQXlU6cnsZ\nxcXFBAT3xa2xCy/29sXBya5WOpraZfjYQCLPXyYttfxGUlmqZMuGnRzce4SSklJiom7VWSc5MRVL\nq/s/kKbGZGfl1qpdANo+/xwdOnuzdvlmbGQPv2NtY8Wd3PKbn5CXR2Jhaa6Kq81Qa1U6lbV/beus\nKo2efl0BkCSJktJSLCzNa32+PKCyOsjPK2Dr96EcCDtMqVKpcmr0DfRxdnEkPi6pRhpV6VR2Xsrk\n1uRk3wGgf2BvWrRsWieNx+vM2MSYxh6uqviSklKMjA3rbMvjfTkrM4f4uCTk9vd/7G1tSEnS/GOf\nm5aNqXV5HzWzMedOWo4qLj8rj6KC8ulWRQX3MDQ1Kg8rLA+7m1eIiYVpxUwrwcHShpzCAgByCvOx\nt3y4mdv5W1FA+Q+9vq4uxaUl6Orq0r9NRzo3bYmerh6uMvtK830UZ7mcrDvlbZmVewcnuVwtfnfE\nMVo3bYrd/Zt7Fzs7VfqcvDwcZNo9tGjk6EBmTnk9KbKycXGs6FQ9+vvYyMlRlT47NxdHO7sK6Sto\nuDirnjJnZGbS6JHpxs6ODuTeL/fdonvYWFupjSxYW1mRla3dk+OG0HFt5IIis9xZU2Rm0sjloYaL\nkxO5ufc17t5FZmODm2sjlaOSlZWNk5N2mxg2cnFGcd8WRWYWLk5OD21xcnxoy917WJibc/fePcIj\nThAVE8uFyIvcjLv9t7GlYXXu15lCUY3OPWQ21rg9kj4rOxsnx4bZYLI+0amHf88aeh9//PHHDSl4\n9mz5nE8fHx8AcnNzKS0txdDQkK+++gofHx90dXWJiYnhxIkTTJgwodr8Vn69oUKYq7sLI8YFIbO1\nwbtjG7Zt2sWCr95n355woHxe+LZNuym6VwSAqZkJwcMH8nyHNiTGJ5NwO7lCnnXRKCsr4/Tx85SU\nltK56wvcLbzHqYhzFBbcrZNO3M14Aof1x97RjpLiYsL3HyP2RhxBw/pjbWOF3E6m1ShMdRpjJw7F\nxc2Jrj06cTLiHFFXY2pVX9Xp7NwaxrlTf2JoZEiXFzuSkpzGmRMXMDA0qNd2+WTRezT38sC9iStD\nRvmze8d+evp1JWj4AFxcnYiPS+TcqT/rZMu+PeHcjLnNsDGDaOHlwYUzl4i+Hlurdunaw4d3/vMa\nSqWS/vefqr/61lT27QlHkZ6Ff3BfPFs2RVdPjwO/Hq51u1SnU1n716bOqtMYMioAd49GeLdvRXqq\nguNHztT6fAEYENibHn27kJtzh7jYeBat/C/79oQzcvxgOnT2plVbL04cOUNMdLkjNGRUAEd+P0F2\nVs2mWFalU9l5mZKURtCIAbg0csTV3YXtP+6hrKys1hqP19mpY+fwH9yHlm1a0Ob550hKSNG6L1en\nU1lfjom+xZCRAbi4OpGRnsmZExfU8mrvUtFZyk7OpKmPJ2Y2Flg72XA1PJKBbw4l+uRVspMzadmj\nDeYyC8pKlMSejSIrUUHLHm0xtjDB1NqMKwf/qJCnu2tFp9zJ2pZzcVFkF+aTdiebnl7efHMwlC7N\nWnH4+kVSc7OITk1EZmZJO7emXIiL5lj0JdLv5OBkLaO1S2O1/CwcLStoNHKw51hkJJm5d0jKyMC/\naxf+u3YdfTp24LMN33MrKZnE9HR+O3mKAb6daeLszG8nTpKSmYnc2poOLb0q5GlgYVYhzM3FmaOn\nz6LIziYxJZUgv968/8Vi+nXviiIrm7DDR4m5HY+bkxMOdnKaurmy+/fDJKelI7eV0cm7rVp+eqYV\nnTJ3V1cORxwjIzOLhKRkggcN5H//M58BfXvTpLE7oXv2cuPmTV5o1xbP5s04dvI0f1y8ROzNOO4V\n3SPIf0CFPCvjSejoPjbly93NlfAjEWQoMolPTGRoUCBvv/8hA/v54dGkMTt37Sb6Riwd2nvj2aI5\nzZo24ZfdYSQmJWNnJ8e3k08FjbLSiiOJ7o0acfjYiYe2BAzgnY8XMKBPLzzc3QgN+40bsbdo792G\nli2a07njC+gb6HP2wp+YmJjg6/MCZo+1ha6BuvP/JGyptF0aUudoBBkKBfGJSfd1PmJgv754NHFn\n5649RMfE0uH5x3SSU7CT2+HbqWOFPPWMtXvI8LTYtOLnOucxYeaIeihJw6Ej1WYIoA689dZbfPjh\nh1jff3rzxRdfYG1tzcsvv8zGjRuJiYnBxcWF6OhoJk6cSNu2bavNr617j4YotkAgEAi0YKqPX4Po\ndO/i9sQ1nLxdnrgGgKmT5tGEumJoq/10zmcBPSPjJ65RerfgiWsA6JtUdCifWRroltLQSq450VOk\nf+uRdc5j/xXNL7z4O9HgO2UvWrRI7XjOnDmqzyEhIQ1dHIFAIBAIBAKBoN54Fl/7Wlca3KEQCAQC\ngUAgEAj+qfwbXxsrHAqBQCAQCAQCgaCeeBbf0lRX/n1jMgKBQCAQCAQCgaDeECMUAoFAIBAIBAJB\nPfEsvva1rogRCoFAIBAIBAKBQFBrxAiFQCAQCAQCgUBQT/wbF2WLEQqBQCAQCAQCgUBQa8QIhUAg\nEDxlzAwbZmOrMc93feIaDbHhHID9cw5PXMPMzfmJawDoV7KLdX3TUE9MdQ2NGkRHIPg78298y5Nw\nKAQCgUAgEAgEgnri37goWzgUAoFAIBAIBAJBPfFv3Cn732exQCAQCAQCgUAgqDeEQyEQCAQCgUAg\nEAhqTYM5FElJSfj5+RESEsKECRMYOnQo7733nlqa4uJi5s+fz+rVq5k7dy5xcXENUjYTE2NmzJrE\nsvWfP3Gt73cso19Ar2dGx9rGivfnz+L9+bPqoVSCZ436bv+gYf3Zd+KnesnraWo0pI5AUBMmvTqL\nA4ePPu1iCB5j0sw3OBAu2kUbCu/eZcXqdcx88+2nXZRao6OjU+e/Z40GW0NhZmbGvHnz8PX1BWDZ\nsmV06dJFLc2GDRtwdnZm6tSpREdHM3fuXDZv3lxjLZnchn4BPbmTm0f3Xp1Zu2wTsTfiAOjWsxPW\nNlYYGOrTuWsH3nl9HuYWZhzce5TW3i2fmAZA4ND+ZKRl1psts96dTsLtZOzsZaQkp7Pr599qpVOd\nhpm5CeH7j9NnQHdVekdne8ZOGsrtm4mYWZiycc02rXS69vDBu0NrkhNTaeP9HAs+WIxSqQRg2JhA\nTM1MyM25g6mZCVu/D+WtD2ZibGyEDjq0e6EVMybOQZGeVWuNydPHYGRsSHqaAkdnB1Z89R3tXmhF\nYw83pLIy+g7swZvTP1Slr62Ok4sDfQa8SHZWDu6NG7Fi8fpa1Vl1GpX1sZ59u+DVqjkJ8ck4N3Jk\nzdIfNGpo0qms/S0szRk2ZhDpqQo8n2vG15+vQpIkjTq6urpcOHuJu3fvVYirrG0ChvjRsnULbly/\niWfLpiyct6xOGhNeGol740YAnDx2jvD9x2qloUmnsvOyNnWmp6fLzDlTiI26RfOWHiz9fB1lZWUA\nDB41ABNTE+7k5mFqasz2Tb9iYWlO0Mjyc795Sw9WfLFeq3bR0dWh67jeKOLTsWvswPGNh1Tfs5Bb\n0rSTF3fvFGLtKOPMzxEYmRnTqrc3+Vl52DV24MSWcNAgoywrY8vpQ7jJ7InLTGOCb190dcufZ/15\nO4a8e4WUlim5kniL1/2Gciz6MrcyUnGzteO2Ip2J3fpptANAqVSyetcuPFxciElM5JUhQ9C7r7N6\n1y6c5XIyc3Oxl8kY2LkzWw4cwNTYmOKSEkpKSxnXv79GjVKlkqXffU/zJo2JvnmLN6ZOQk9PD4Co\n2JscOn4SGysrrCzM8e/Ti73hR4iKuUnTxu7cuHWLt6a/pJUtpaVKlqxeS3OPJkTHxPLmjGkPdW7E\ncvBoBDJraywtLRjUry8Ae/YfxM7WVqv8H2h8vXIVLZp6EHUjltmvvqLSuB4dw8HDR5DZWGNpaUng\ngH5EXr5CXHwCujo6/H7kGF99Og99fT0tdEpZvHQFLZo343r0Dd5+49WHOlHRHDgUjszGBisrSwL9\nB5KSmsqWn7bj7uZKQUEBE8eP/VtoPKizJd+uoXlTj/J2mflou8Rw8Mgj7dLfD4A9+w5iJ69JuzSU\nLQ2os2wlLZo1ragTHc2B3w8jk9lgZWlJoP8A8vPz8evTi8tXr2pdZ383/o1veWqwEQpra2uVM1Fc\nXMyVK1do3769WpqjR4/i7e0NQIsWLYiKiqKgoKDGWlmKbLZv3o3M1gZlqZLbtxJUccePnOHalWia\nexeaf3sAACAASURBVHpw+sR5ADLSMykoKHyiGhaW5jg623Hj+s1609m6MZQdP+5hw6qtDBnpX2ud\n6jSSElIpKSlRSz9lxlh+232IHVt/pUMnb2S21lrpRF+LZcVX6wn9aS8WluY4uTx87eOwMYPYujGU\n3dv3MSjYD2sbKzZ/t50FHyxm4fxlHD9yRqMzoUnj8sVrODrb08jNmYFBfQC4eOEvzpy4gLuHK5cj\nr2rlTGjSmfXudAryCzAxMebKxeu1rrPqNCrrY0HDB/Db7kOEhR7Es2UzvFo1r7MtVbW/rq4uBoYG\n3Lh+U6ubVoCysjKSElIqjausba5ejkZma42dvS2DhvbDwNCgTholJSVcirxKzI1bRF+LrbWGJp3K\nzsva1FkPvy5kpGWyN/QQivQsXvTzVcUFjRzAjs172Lvzd/oP7o2VjSXjpw1XacRGxWndLk19PCnI\nyuP60csUZOXj4dNCFdd1XG+KC4swMDIgLTYZgBcG+6Kjq4OegR6Z8ekanQmAc7euIzOzoIdXO2Sm\nFpy7FaWKe969GU3snEjIzKB1oyYAeNg5ceduAdkF+RyLvkyJslQrW45duoTc2pr+nTpha2XFiUuX\nVHGDu3dnUNeujOrbl32nTgHQp0MHgl98kZF9+nA0MlIrjSMnT2Nva8ugvr2xk8k4euqMKm7lxs2M\nHxrMmOBAtoftQ5IkWjZrSlZuLpnZWfwWfpTix86nqjh8/AT2cluCBvTDTm7L4eMnVXHL1q0nZNRw\nxg4fwrZf9iBJEnl5+aSlZ9DMo4lW+QOERxzD3k5OkP+Aco2I4w81Vq9l4phRjBs5nG07dyFJEt5t\nWtPphfbcTkikTauWWjkTAIeORGBvb8fgQf7Y28kJPxqhivtm5Somjh/L+DGj2Lp9J5Ikse77TQzs\n78fwIYM5/0ckmVmar/0NoQFw+Njx8jobeL9djj3SLmvWEzJ6BGNHDH2sXdJr1C4NZUuD6thVpbOa\niePHMH70SJWOvZ0dZg3wKmVB/fJU1lCEhYUREBBQITwzMxMzs4fvYzczMyNLyw77OKWlSjat+5mk\nhBRe7KM+EhJ7I44v5i9n+JhArS+IddUYN3kYWzbspDZOa1U6qcnpAAwZHcA3C9cA1FqnOlsep5Gb\ns+rmPiszGycXR600MtIzkSQJt8YuxMclkhifrIr7+J2FDBsziH4BvSgtVWIrt3lo3yh/Qn8Kq7PG\nlBlj+WbhGr5ZuIbFn32rCk9NTmfpF2tp79MOWztZnXWae3lwKzae7Vv2MHbyMGS21rWqs+o0oGIf\n+/KTFXTr2Qk//57o6+th56DdEzFNOo/T3MuD1P9n77zjoyzyP/5OIT2b7SmbAiEJNVKCCCKEFhIS\nEqp0xYaeHh7Wn56nd5ycd556oqeCBRXBAh4QihQpIaEICEgVSCMhpGc32U3v+f2xYUNMSDZV0Hnz\n2teLPDM7n/nOzPPsfGfmmckyjrwPv3soffr7maXTEs3VzYIHZvL155tY/cGX/PW516mqNK8jdjO2\nb/qebRt3E71+B/985y9dogGN78t3//0x0L4y8/B2I19bAIA2Nx+NV0Ob+ddf3mXq7DAmTB5NdVU1\ncoWU3n16kpOdx45NewkaOQj/fr5m5dfFVUaJ3jhwU6IvxkUtM4UpvNUUZOq4sO80gyffib3EAYW3\nmmJdIZdiz+E5sCdKn9bPg8gp1ONi7wSA1NGJ3EJ9o3AvuYr7RoWw/+Jpqmtq2HXuR8IC72R60D38\nYVwkPazMm0zP0mqRSyTGvLu4kKnVmsJc5cZ7e+fRozwcGdnoWtzp08ybONEsjYzsHBQy44CAQi4j\nIzvHFJadm4fE2WinvZ0d+sJCNmzbwdyoCB6ccy+vPP0kNj3Mc1rTM7NQ1udPKZeTkdXgwGbn5CJx\ndgbAwd6OAoOBrzdFM3fGVDDTkWyioVSQntmgkZWTi0Ri1LC3t6NAbwDA3c2VJx97hFNnzqLVmff7\nnJ6RgbJ+5kSpUJCe0fCMycrOwaW+zhzsHcgvKCA9IxOlwpgvuVxGVlb2LaEBvygzRUv1Ym+sl43R\nzJ05zSzHu9tt6Tadhu8plcqb6tjb21Og1zebxu2GRSf8u934VRyK3bt3Ex4e3uS6UqlsNCNRXFyM\nXG5eB+9GBg8biIvU2EBzs7W4uatNYWNDjAc71dXVUVVdjZ29nSmsLWvW2qLhLHHC3sGeCaGj6dPf\nn2EjBtHLz6fDOgCz5kdy5uR5crJzse5h3S6d1jSg8Z7KaakZKNX1DxWFjKwM8x4qAHcM6c+wEYNZ\n/cFXyOQupuvFRSWs/yKaPTsOUF1TY+rUWvewxkPjRlpqRoc1pDIXCg1FANy/eDbOEidTXQHoCwxm\nz7a0pJObraXIUAxAUWExjk6O7S6zm2k0145rqmv4es1m9u6MpaqqmqT4lA7bcp0b6z83W0tRodE+\nfYEeqaxp/JZo7j5rrm7kSin6gkIAQiPHE9Cvd4c0vOuXO1VUVOLoaBz96ojGzXSg4b7MzckD2ldm\nGWlZyJXGzr1SLSfjWkObKS4qYeOX37F/1yFqamrIvJZNXraO4kLj89NQYEAqk5hlgyG7AEepcSDH\nUeqEIbfAFFaSX0RFiXFZV0VpOTb2tvXXKgAoKyrFXmLfqoarRIahrN7+kmLUkob77GT9bIWlhQXW\nlpZUVldRWFaKk50x3aPJP3NVm9M00WbwUCrJLzTWp85gwEOpbBS+/fBhBvr6opI26O8/eRIne3sG\n+PqalpS1hKe7G7oCY6dHl1+Axq3BoXJ3VWMoMrbjsopypBIJ+Xo9LvUd870HD5Nwxbz70tPDHW39\ngJo2Px+Nu3uDnW6uGOrtLCuvwNnJibLycmIOHSE+KZlTZ89x5WpaqxpeGo8GDa0OT48bNNzdTBrl\n5RXIpC4cONQwgyFzcSG/oABz8PLUoNUZl+FqdTo8NQ0HBmrc3TEY6m0pK0Muk+Ht5WlyVvLzC3B3\nb30Apjs0ADxvLDPdL+rlhjIrKytvqJeD9fVy5ixXUq/eMrZ0r871dqa9qU55eTmyG+7NNvjGtxyW\nFhYd/txuWC1btmxZdwr++OOPAAwfPhwAg8FAdXU1NjY26HQ6cnJyGDp0KPHx8Vy8eJG5c+e2mN6q\nd9Y0ueblo+HeBVHIFTIG3xnIt19u5bW3X2L39himz4nAx9eTwUMHkJut5eihEzg42jNt1mSGDAsk\nPS2Ta1dbHqFtq8bh2OMcO3ySqupqRowKoqy0nKMHT1BaUtYhnX/858/49/XFp5cX0+eEs+XbXe3S\naUlDqZYTNTOMgH6+XE1NJycrj6SEFKbPjkDj5U5ero7jR061agcY1+q/8LcnqampIbR+JmLJsw+z\ne3sMsxdOZdiIwQy4oy9HYo+TlGD80Z0+J4LYfUcoyDd0WEObm0/4tIn06dcbSysr9nx3gDETRjJ0\n+B34BfTC3t6O7Zu+77BO6pU0ImeGonZTUVVZScz3h9pVZi1pNNeOx4aMImpWGBovd9JS0zlx9HSH\nbWmu/pMTU4maGYpU5oJSJed/X20zSwcgLHI8wRPvxqAvJDU5jf+s+vtN6yYrI4eoe8PQeLrh5aNh\n4zfbzerw3Uxj/qIZaLzdGRV8Fz8cPEH8xSQy07OZeu/kNmu0pPPL+3Lbpu9bLTMbK5sm6V9LyWBs\nyN0o1XI8fTzYvvF7lr/zZ/btOMiM+REMuSuQvgP9OXbwFFcSr5KanEb4tIm4yJxRKGVEr9/VJM1A\n96anWBdk6eh9V18cZE5I3eRcPHCWsKenk/jDRQoy8+kXHIiT3JmaqhqunIgnPz2PfsGB2Dk74Ch1\n4sLexu3Mx6ups+QuVfBjSjz6kiKyCwsY128w7+7ZzN3+Azhw+SxZhnwSstNRODkzyLs3SicJBxPO\nkVeoJ6dQz8T+Q03vXFzHUeXURMdLrebQuXPkFxaSqdUyecQIln/+OeODgnh93TpSsrJIz8tj17Fj\nhN51F2t27ODwuXMYiovZfuQIYwYPbjSDYNuMc+2t8SD26DG0+QWkZ2YTFTqRl/71JpOCR9PLy5Ot\n3+8jMTWVoQMHEODbC3e1mu37YsjKySU9K5sZkyeZ1o9fx7KZWQsfT08OHPqBPJ2OaxmZTAsP44W/\nv0bYhHH4+vgQvXM3ickpDB0USD9/P0YMC8La2pofT53G3t6ekXcGNVo2YmHVdDbex8uLmIOH0Wp1\npGVkMD0ynP/766uETRxv1Ni+g8TkKwwdfAd9/P04+MMxfjp7jqQrKZSXVxAVHtYkTYtmZpN8vL2I\niT1InlZHWno6M6Iiee6lV5g8KQTfXj3ZvHUbCYnJDBs6mD4B/vj17sWWbTtIz8hEpVIy8q7hTdLs\nDo3a6qYzlsZ6OUKeLt9YLxFhvLDser14E71jl7FeBgfSL8CfEXcGYd3jhnoZHtRkOY9lj8b3f3eU\nV7frxB0kT6slLT2jXuevTJ40Ed9ePmzeup2EpGSGDTHqlJSUsPW7XZw+dw5PDw+8vTybpGlld2sv\nidr0ifm/izdj1qNRnZCT7sOiztyFtp3Es88+yyuvvIK03gt98803kUqlLF68mIqKCt544w2USiVp\naWn84Q9/wMen5RH2O3yCuyPbAoFA0GU42ji2HqkTmDdkVOuROsjou5s6LV2Bun/rS606inNvry7X\nALDuhvXizTktXaJjY9stOt1BdVnb3+FsD9b23XP/dwvd1KW0cVG2HulXZN6d5m2+0BLfnFjdCTnp\nPrr9pOz//Oc/jf5+/vnnTf+3tbXllVde6e4sCQQCgUAgEAgEncLtuO1rR+l2h0IgEAgEAoFAIPit\ncju+A9FRhEMhEAgEAoFAIBB0ErfjLk0d5VfZ5UkgEAgEAoFAIBD8NhAzFAKBQCAQCAQCQSfxe1zy\nJGYoBAKBQCAQCAQCQbsRMxQCgUAgEAgEAkEn8Xvc5UnMUAgEAoFAIBAIBIJ2I2YoBAKBoAV6y1s+\nXLMziAwc2OUaAEOD3LtcQz2w6zUA7JRNT7HubKyduufAMUvrpield7pGNx1sV1db0y06FpZNT/7u\nbKy665C+7jgMrrtGzH+HI/PN8Xt8h0I4FAKBQCAQCAQCQSfxe9w2VjgUAoFAIBAIBAJBJyFmKAQC\ngUAgEAgEAsEtzdGjR9mzZw8KhQKAJUuWNApPT0/njTfeIDAwkEuXLjFlyhTGjx/fZfkRDoVAIBAI\nBAKBQHCbUF5ezt/+9jd27tyJtbU1f/rTnzh27BgjRowwxVm9ejVBQUEsWrSIS5cu8dRTT/12HIqU\nlBR27NiBra0tJ0+eZMmSJQQGBprCo6OjWb9+Pba2xhehZs2aRVRUVHdmUSAQCAQCgUAgaDddvW3s\n6dOn0Wg0WFsbu/FDhw4lLi6ukUOhVCrJz88HQKfTMXBg127+0W3bxtbW1vL666+zZMkSFi9ezGuv\nvYanp2eTeCtWrGDt2rWsXbtWOBOC2xKpzIWXlj/FS8uf6pT0omaGsvvIhk5J69fUaE3HxtaGnYe+\nYeCgvl2i0dn1cqthbdODIdNHEfLMzF87Kx2mrKKCNd/t4MUPVnZamvrCIt5cvYY3V6/ptDTbwgNP\nLGVPTNyvon27UVpWxspPPuOPTz//a2elw5hseeb/ulbj40954unnukxD0DYsLSw6/GmJ/Px8HB0b\ndqFzdHREp9M1ivPAAw9w9uxZXn/9dVatWsWMGTO6xNbrdNsMxfnz56mrq2PdunWUlZUhlUqZPXt2\nk3jr1q1DpVJRVlbGwoULcXFp29aAo4KHM3jYQDLTswkc3J/XXl5BTY1xG7sHH5uHrZ0NuTla3Dxc\nWfn2Z4ydeDd9B/hzLS0TD083PnlvXZfoRM0M5Y4hAwC4eCGezet3dFhn+VsvUl5egQUWDAoawLzI\nR1n64mPY2dmarj2+6Hm0ufnt1nDXuDIhbAwF+Xp8enqycsXnPPvyE23WaE3nvkdm49PT6GD+cOgE\nMd8f4qHH51NSUoqtrQ02Njas/uDLDmncM/YupDIXethYM2LUMF7406tETA+h38AAEi9foU+/3rzx\n6vutarSm4+hkT8z3h5kQNtoUv71lZmlpyakfz1FWVt4kbOa8SBwc7THoC3FwtGf9F9Htas8taTTX\nxsKnTmxXW25JB2Du/dNISU4z/d2eumlJo7PqxdLKkvuXzuFq4jV6BnjzxYpvqK01bvs4bVE4NrY2\n5OcVoHJT8M2qzQSH341vv56m+J+99VWrdgBYWFpw55yx5F/LRe7tyolvDlBXv72ko0JCz2EBlBeV\nInGVcTr6CD0cbEn5MR6lr5tZ6V+npraWr47ux0ehJlWbw313T8TS0jjWdPpqEkXlpVTX1HA+PYWl\nk2ZwKP48KdpsvOQqrupyeeCeSa1r1NTw0ZYt+Go0JKen84cZM7Cq1/goegseKiX5BgNquZzJI0dS\nUlZG8NAhXL6a2iZbqmtqWPnVenp7e5GYmsaT98836ZSWlxE8PIi4H0+a4p+LTyAtMwsLCwtij5/g\nX889hbVVy9uRVlfX8O6Hn+Df25eEpGSefuJRrOq/E5+YxN7Yg8ilUiQSZ6aEhgCwffdeVEpF22yp\nruadlR8R4Neb+MQknlnyuEnnckIie2NikctkSCTORE4O5dO1X+Ho6EBFRSVVVZU8sug+szRWvLeS\nAH8/Lick8tzSJQ0a8Qns2R+DXCbDxUVCZPhksrKz+XrDRny8vSgpKWHRwvnm2/LBh/j79SY+IZFn\n//THRrbs2X/AqCNxJjI8jOLiEkLGj+XCz5faVF7dbktiEs8++cQvbIlFLpfiIpEQOTm0wZaLbbTl\n/VUE+PVuaktCAnv2HUAulxk1wsMoLi4mZMI4zl+8aLZGd5dZd+j81njvvfd48sknmw2Ty+UUFxeb\n/i4pKTG9S3GdP//5z8yePZvw8HDy8/MJDQ1l//79SCSSLslvt81QZGRkcPbsWWbMmMGjjz7KiRMn\n2LJlS6M4w4cP59FHH+Whhx5i4MCBLF26tM06CZeSWfn250Rv2ImzxAl3jasp7PzZS7h5qPHy0TA5\nagIAUbPC2LVtPzui99Knnx99B/h3mo6nt4dJB+Dn85eJv5TEpQsJnWLPB29/xmsvr2DVu2vYtW0/\n1dU1fPXZRl57eQVvLH+fw7HHzeq0tqTx1IuPUVJcgr29HRfOXgZol0ZrOlVVVZw7c5GkxBQSLiUD\nsHPrPjas3cLaT74lJGJshzUOxx7n0oUE/Pv4cuyIsVNx8XwCcoUUlVrBlBmT6GFj3l7tLelkXMum\nqqqqUfz2llltbS0Z17KaDZs5bwrr10azbeNupkwLQSZ3aVd7bkmjuTYG7WvLLelovNwpKy1Hm9dQ\nLu2pm5Y0OqteRowLIj+3gAPbD1OQp2f4uCBTWOKFKyjd5Lh5qrknzDj1nHwpFReZMzKllLERo7Du\nYd44jk9QACUFRSQd/plSfTHeQQ11eeecYCrLKrC27YE2JRuAMn0xVeWVZqV9Iz9euYzc0ZngvoOQ\nOTpzIiXeFDbEx49eKnfS8vMI9OwFQC+VO4bSEvSlxRyKP09VTXWrGofOnkUplRI2YgQKFxcOnz1r\nCpsWPIbIe+5hTkgIu344CoBSKsXetu1nAMT9eBKVXEbE2DEo5VIO3uA8eKjVpuUB17mjTwDDAgdw\nLSubAf5+rToTAAcOHUatUhI1eRIqpYIDh34whb3/yefcP/de5t87g2+3bKeuro6iomJycnPx8+3V\nJltiDh4y6oSHGXUOHm7Q+Wg1i+bPZcGcWXy7eQt1dXWET5rI3JnTWTR/DntiYs3S2B97ELVaxdQp\n4ahVSmLiDprC/rvqIxYtnM/CeXNYv3EzdXV1fPrFl0wODWHW9Kmc/OkMunzznmMxcUZbpkZMRqVU\nEhN3yBT23qqPeWDBPBbOvZcNm4y2qFVKHB0czCuoX8UWVfO2fPgJDyyYy8I5nWCL6ma2fMyihfNY\nOHe2yRa1StVmDZNON5RZd+ncSlhYWHT4czNnAmDIkCFkZWWZftN++ukngoODMRgMJkcjOzsblUoF\ngEQiwdLSktra2i6zudtmKJycnOjVq5dpiiYoKIjjx48zbdo0UxyNRmP6/8iRI3niiSeoq6tr01q0\nvFzjlI93Tw1pqemkp2Wawh56fD4vP/NP8nV6zp8xjha89Y+VjAsZRUA/P6ytrVC5Krj8c2Kn6Vzv\nhO/ddZCy0jIAvtqyivtnLjGNaLdXJzszF4A5C6ey7tP/Nbo2fU440RvMGzluScO/ry/ffLGZMycv\n8OG6tzh/5mK7NFrT2b7pe0qKjbMRn3yzgvtn/NGkExIezGcrzRvVbUkDIDkxlTeXf8CX0SvZvul7\nFjwwk68/38SFs5dJir9CVWVVc8m2WeeXtLfMWmLZC28wc94U8rV6qqtrkCtk7W7PreX7xjbW3rbc\nErMXTuW/b3xC4OD+pmvtrZu20J56cfVUo802/sAVaPW4adSmsBkPRvDfVz7GUFBE4oUrAETMC2HH\nN3tJ/PkKacnpVFe13gEHcFa7UJJfBBidBWe11BQm81Rxce9P5CZmEPr8veQlZ1JeVGZWur8kt1CP\nwsk4YiVzcCKnUN8o3Euu4v5RIbyy6XPG9LmD3ed/ZPIdd+LnqsFLrqaHVes/I1laLSqZDACFxIUs\nrdYU5iqXA7DzyA88MrVjy1wzc3JR188EKKVSMnJzW/2Om1LJH+bN5qnX/o1OH4xCKm0xfnpmFm5q\nY50rFXIyshoc2OycXCTOzgA42NtTYDDwv+jtLJg9g6++3dwmW9IzsnBzVdXrKEjPbHjGZOXkIJEY\ndezt7SnQG3B3Mw5q7I2J5aH7FpipkYGbq2uDRsYNGtk5uNSPZDrYO5BfUEB6RiZKhbG+5HIZWVnZ\nKOrrr2WdTFxdjWWmUv5CJyf3BlvsKNDrkde3lbbwq9iiUJCe2VD/jerFzo4CvQG5rOX2dDMNt3oN\npVJ5U1uMdd++8jLqdFeZdY/OrURXn0NhZ2fHsmXLWL58OQqFgj59+jBixAjefPNNpFIpixcv5sUX\nX2Tt2rWcPn2aa9eu8cwzzyBt5fnWEbpthmLQoEHo9XrTlH1mZia9evVq5E29/fbbpo5JSkoKnp6e\n7Xqx5Y4h/Rk2YjCrP/gKmbxhyZRU5kKhwfgDff/i2ThLnKipruHrNZvZuzOWqqpqkuJTukSnp6+X\nKbyqqhpbO/NPRr2ZDoBM7kJVVRVFhQ1TX9Y9rPHQuJGWmtFhjdxsLUUGY9rFRSU4OTu1W6MlHe/6\n5U4VFZU4OjaMtEyOmkChoZgzpy6Y3RZupjE2ZBQAdXV1VFVXY2dvh1wpRV9QCEBo5HgC+vXusC3X\n+eUDpb1lBs2/4FVcVML6L6LZs+MA1TU1pKdldqg936x8f9nGOtKWm9NRquVUVlYSMW0i3j01jBk/\nEjcPdYfqpqW20tF6yU7PRVZ/SrNMKSU7o6HT6ix1prioFICp903GwckBF7nEdA+NmnQXPQO8miba\nDEW5euxdjAMw9lIninIbOvqlBUVUlhqXdVWWVdDDvmE0v60/ZK4uMvSlxvwVlBbjKmn4wbk+W2Fp\nYYGVpSWV1VUYykpxsrMH4Iekn0nV5rSq4aFUkl9orEtdoQF3pbJR+LZDhxjY2xfVL37s2nqAsMbN\nlXy9sZy0ej0atbpJnBvTPHjilOn/Ls7OFBgKW9Xw1HigrR8x1ery0bg3nAzu4e6God7OsrJynJ2c\nKCsvJ+bgEeKTkjl15ixXUq+aZYuXxgOt7rqODk8Pj2Z1ysvLkUmN7XHXnn04OzsxOHCgWSORXp4a\ntPXrrrU6HZ6aBg2NuzsGw3VbypDLZHh7eZrylJ9fgLu7ecvrPDUepvXdedrGOh7ubiad8vIKZDe0\ngTrMbwDdZounBl399/J0Ojw9bqh/twad8oqGeoG2tWWjLfV1r9Xe1BZj3d9QXm28X7qrzLpL5/fG\nyJEjefXVV1m6dCl//OMfAXj++edZvHgxYBy4f/fdd3n00UdZvnw5c+bM6dL8WC1btmxZlyrUY2dn\nh5ubG9988w3nz59Hq9WydOlSVq5cSVJSEkFBQSQmJhIdHU1CQgJ79uzh+eefx9XVtcV0V72zptHf\no4KH88LfnqSmpobQiHFUV9ew5NmH2b09Bm1uPuHTJtKnX28srazY890BxoaMImpWGBovd9JS0zlx\n9LRZ9rRVJ3zqBPoFBhA4pD8Z17I6RQeM7x58++U2KsorTN+ZPieC2H1HKMg3dFgj9UoakTNDUbkq\nqaqsJOb7Q+3SaE1n/qIZaLzdGRV8Fz8cPEH8xSSeePpBJoSNRq6Qcu+CKPbtimt1lLoljelzIvDx\n9WTw0AHkZms5eugEWRk5RN0bhsbTDS8fDRu/2W7WD3FLOkq1nKiZYQT08+Vqajo5WXntLjOAsMjx\nBE+8G4O+kNTkNP6z6u/s3h7D7IVTGTZiMAPu6MuR2OMkJaS0uz3fTAOatrH2tuWb6Wxev4MTR09j\nY2vD3WPuJCszh2OHT3E1JZ2p905uc93czJb21ovcvnEnN/NqNneND0KukuLu7cr+LXE89+8/cvj7\n4xRo9YyZfDc9/b2xtLLkh70/kpelY1zUaNQeKtw8Xdm76YDpnYvr9HFt2vE1ZOfjExSAg9QRiauM\nxLjzjPtjFCnHL2PIzsfvnoE4yJypqaoh7VQi1nY2BIweiGuAhqI8fSMH5DruHs5Nr0kVnLgSj760\niJzCAsb1G8w7ezYzyn8ABy6dJUufT0J2OnInZwZ590bpJCEu/hy5RXpyDXomDhhqeucCwFHdVMNL\nrebwmbPoCg1k5GkJv3skr376GeOHDeNfX6wlJTOTjNxcdh09RuiIEZSWl7P72HEuJCfjrlSiqZ+2\nvxFrB7umOu5uxP14Cm1BARnZOUSOD+aVFe8TMmok2oICdh08THLaNTzdXXFVKjjy0xnOXLrMlWvp\nlFdWEjF2TGMNJ6cmGj6enhw4dIQ8XT7XMjKZFhHGC8teI2zCOHx9vInesYvE5BSGDg6kX4A/u0Bi\nTwAAIABJREFUI+4MwrqHNT+eOo29vT0jhwc1WZ5iYdl0qZWPlycxBw+j1elIS89gemQE//fK3wkL\nmYBvTx+it+0gMfkKQwcPoo+/HytXf0ZM3CEK9Ho2btnGxHHB2Ng0OPsWzSzn8vH2Iib2IHlaHWnp\n6cyIiuS5l15h8qQQfHv1ZPPWbSQkJjNs6GD6BPjj17sXW7btID0jE5VKyci7hjdJs7lerY+3F/tj\nD5Gn03EtPYPpkVN4/i9/Y/KkiUadbd+RkJRM0JBB9Anwp6SklK07dnLm3Hk8NR54N7OBi4WFZRON\nzrel6fPGx8uT/XGHyNPW2xIVwfMvL2NyyAR8e/mwedsOEpKTCRoymD7+fvW27LrBFk2TNJu1Je4g\neVotaekZ9bb8tb68fNi8dTsJSckMGzK4vrxK2PrdLk6fO4enhwfeXk3Li2YGWbqkzJqhK3SsbNu+\nxKs72fH57g6nEfFgWCfkpPuwqKtrq097a3GHT/CvnQWBQPAbprfcp8s1IgO7dju/6wwNcm89UgdR\nD+x6DQA7Zds27GiXhlvLA1qdhaV122b52qXRw7z3wzpKXW3Hlj+aS3NOWGdTZ8b7QZ1Bd9jSnENx\nO2MjadsmB93NkuCO7yb4ftw7nZCT7kMcbCcQCAQCgUAgEHQSXX0Oxa2IcCgEAoFAIBAIBIJOorVz\nJH6LdNtL2QKBQCAQCAQCgeC3h5ihEAgEAoFAIBAIOonf45InMUMhEAgEAoFAIBAI2o2YoRAIBAKB\nQCAQCDoJyy4+2O5WRMxQCAQCgUAgEAgEgnYjZigEAsFtyQC1f7fohA7o0+UaQ+/0aD1SJ6Ds2/Xn\nKjhqmh7S1xVYOzl2uUZ3nA8BNHuA2u1Kt5ypAG0/Fro9dNc6+N/QevvuOofkVuf3+A6FcCgEAoFA\nIBAIBIJO4ve4baxwKAQCgUAgEAgEgk7id+hPiHcoBAKBQCAQCAQCQfsRDoVAIBAIBAKBQCBoN926\n5CklJYUdO3Zga2vLyZMnWbJkCYGBgabwyspK/v3vf+Pq6srVq1dZvHgxPXv27M4sCgQCgUAgEAgE\n7eb3+A5Ft81Q1NbW8vrrr7NkyRIWL17Ma6+9hqenZ6M4a9aswcPDg0cffZRFixbxl7/8pcvzZW9v\nx+NPPcD7n7/eqena2Nqw89A3DBzUt9H1Lza9z6SIcZ2q9VtAKnPhpeVP8dLypzolvaiZoew+sqFT\n0vo1NbpL59e2pbPrX9B1lFVUsOa7Hbz4wcpOSU9fWMgbH67mjQ9Xd0p6AsGtRGlZGSs/+Yw/Pv38\nr52V24bfQplZdMK/241um6E4f/48dXV1rFu3jrKyMqRSKbNnz24UJy4ujmeeeQaAgIAA4uPjKSkp\nwdHR/O0BRwUPZ/CwgWSmZxM4uD+vvbyCmhrjNmb3PTIbn55GJ+aHQyeI+f4Qjs4O7N0Zx8DB/dpk\nT0s6AHPvn0ZKclqj70TOCCUvR9dpOveMvQupzIUeNtaMGDWMF/70Ks4SJ2bOm0JutpY+/f145/WP\nqGtle72WNJ568TGuXc1EpZaTlZnL1v/tapdGazqOTvbEfH+YCWGjTfEfenw+JSWl2NraYGNjw+oP\nvjSrzCwtLTn14znKysqbhM2cF4mDoz0GfSEOjvas/yK6Xfa0pLH8rRcpL6/AAgsGBQ1gXuSjLH3x\nMezsbE3XHl/0PNrc/A7Z0lx7jpgeQr+BASRevkKffr1549X3O6TRXBt79uUnOt2Wzqp/SytL5j85\ni7TEdHwCvPjy3W+pqzXWZeR9YdjY9iA/T4/CTc7Gj7YyJuJu/Ab6ApBy+SoHth5qVcPC0oKg2cEU\nXMtD7q3m5PpYU3txVEjwCfKnvKgMiauMM1uO4Ch3pl/IUAzZBdjY2/Dz7pOtagDU1Nby5ZF9+Chd\nSc3L5r57QrCyNI4BnU5NpLCsjOraGs5fu8JTYTMpLi9j/8+nkTs5k5qXzYJRE80aJaupqeGjLVvw\n1WhITk/nDzNmmHQ+it6Ch0pJvsGAWi5n8siRlJSVETx0CJevppplB0B1TQ3vf/Elfj19SLiSytIH\n78PKyri9aElZGcEj7iT22I+m+Nl5eXz73S68NR6UlJaxYFqk2Tr//fgz/H17EZ98hacfe9ikE5+U\nzN64w8ilLkgkzkwJmUBhURHRO79HrVQQn3SFPy1+EEvLlsfZqqureWflRwT49SY+MYlnljxu0ric\nkMjemFjkMhkSiTORk0P5dO1XODo6UFFRSVVVJY8sus88W6preGfVRwT09iU+MZlnlvzhBp0k9h6I\nRS6TIpFIiAybxKfrvsbRwZ6KyiqqKit5ZNFCMzSqWfHeSgL8/bickMhzS5c0aMQnsGd/DHKZDBcX\nCZHhk8nKzubrDRvx8faipKSERQvnm2lL1+tUV1ez4v1VBPj1bqqRkMCefQeQy2W4SCREhocZNb7d\niI+3t1FjwTyzbXnngw/x9+tNfEIiz/7pj43qf8/+A0ZbJM5EhodRXFxCyPixXPj5klnpd1d5dbdO\nV5eZ4Nen22YoMjIyOHv2LDNmzODRRx/lxIkTbNmypVEcnU7XyHlwdHQkP7/1jsqNJFxKZuXbnxO9\nYSfOEifcNQ37rldVVXHuzEWSElNIuJQMgDY3n5KS0jbb05KOxsudstJytHkNeXeWOOHmoSLx8pVO\n0zkce5xLFxLw7+PLsSPGTspDj8/H0tKSHjY9SLx8xayOfksa69dGs+mb7az5aD3TZ4e3W6M1nYxr\n2VRVVTWKv3PrPjas3cLaT74lJGKsWRpgnA3LuJbVbNjMeVNYvzaabRt3M2VaCFKZS7vsaUnjg7c/\n47WXV7Dq3TXs2raf6uoavvpsI6+9vII3lr/P4djjZnXAW9Nprj1fPJ+AXCFFpVYwZcYketj06JBG\nc22sK2zprPq/c+wQ8nMLOLjjBwry9NwZPMQUlvRzCnJXOa6eKu6eNNx0/cqlVNISr5Fy+apZGt5B\n/pQWFJN85GdK9cV4BzWchzFs9hiqyiuxtu2BNsVo68CIu7hy7BKJcedw7eOFnbODWTo/Jl9G7ujM\n2H6DkDk6c+JKvClsSE9/fNVupOlyCfQyOkRbTh2htq6W6poavBWuZk+5Hzp7FqVUStiIEShcXDh8\n9qwpbFrwGCLvuYc5ISHs+uEoAEqpFHtbW7PSvk7ssR9RKeRMGT8WlVxG3PETpjCNqys9rBuPba3d\ntJVJY+5h2qSJ/HThZ/L1BrN0Dhz+AbVSQWToRFQKObFHjprCPvhsLffPnsH8mdP439Yd1NXVsWb9\nRmpra6msqsLPt2erzgRAzMFDqFVKosLDUCkVHDh42BT2/kerWTR/LgvmzOLbzVuoq6sjfNJE5s6c\nzqL5c9gTE2uWHa3qfLyaRfPmsGD2LL7dvNWoEzLBqDNvNnsOxJmlsT/2IGq1iqlTwlGrlMTEHTSF\n/XfVRyxaOJ+F8+awfuNm6urq+PSLL5kcGsKs6VM5+dMZdGb+PneHzv7Yg6hVN9P4mEUL57Fw7uwG\njbVfMXlSCLOmRXHyp9Po8gvMsiUmzlgvUyMmo1IqiYlrGIR4b9XHPLBgHgvn3suGTcb6V6uUODqY\nd883suU3Ui/QPWV2q2FhYdHhz+1GtzkUTk5O9OrVy+QwBAUFcfz48UZxlEolJSUlpr+Li4uRy+Vt\n0snL1VFXV4d3Tw1pqemkp2WawrZv+p5tG3cTvX4H/3ynY8upWtKZvXAqm9fvaDRlteDBmXy9ZnOb\ntxJrSQcgOTGVN5d/wKx5kVhbW+Hf15fsLONMwvC7h9Knv1+HNLIzcwGYPjeCd//9MUC7NMyx5Zdc\n1w4JD+azlV+ZpdEay154g5nzpjApYhzV1TUolLJ223Mzrud7zsKp/O+rbY2uTZ8TTvSGHR0zop7m\n2vOCB2by9eebWP3Bl/z1udepqqxqJZXW+WUb6wpbmqM99a/WqNDrjJ1Pvc6AWqMyhUUtCmPDys2s\n/2AzX7+3EYDjMaeI3XaYfZvjePjFhVhatf5IdFZJKTMYn1Nl+hKcVC6mMKmnCkNmPgmxZ+kXEoSd\nswPOKhdT/PLCUhyVErNsyTEUIHV0AkDm6ESOoXGHx0uhZtHoSey7cIrqmhrSdLkonVwY138wF9JT\nSMnLNksnS6tFLjHmSSFxIUurNYW51j9/dx75gUemRpmVXnNkZOegkEoBUMplZGTntBw/pyG+zMWF\n7Lw883Qys1HIZfU6ctKzGsogOzcXibMzAA72dugNhSSlpOKqUjE1bBInTp8lPim5VY30jCyUCmO5\nKBUK0jMbnmNZOTlIJEYNe3t7CvQG3N2MAyd7Y2J56L4FZtkBkJ6ZhbK+/JVKBemZDc54Vk7uDTp2\njXUOxPHQQvNG29MzMlAqFA22ZNxgS3YOLvXtwsHegfyCAtIzMk22y+UysrLMa2PdoXPjd5RK5c01\nHOzJL9A31pDJyMo215ZMFPW2qJS/sKVJvejNSrOpxm+nXow6XV9mtxqWFhYd/txutNmh0LezsgcN\nGoRerzeN/mZmZtKrVy8MBgPFxcUABAcHc+bMGQDi4+Pp169fm5Y7XeeOIf0ZNmIwqz/4Cpm84cfe\nu355SEVFJY6Ojb3f9niDzeko1XIqKyuJmDYR754axowfiZuHGnsHeyaEjqZPf3+GjRhELz+fDtsz\nNmQUAHV1dVRVV2Nnb0dutpaiQmN56gv0SGUuzaZprgbArPmRnDl5ntwc4496ezVa0wGarBucHDWB\nQkMxZ05daHMdNRe/uKiE9V9Es2fHAaprakhPy+yQPTfLk0zuQlVVlSldAOse1nho3EhLzWiTHTfT\naa49y5VS9AWFAIRGjiegX+8OaTTXxqDzbTGFdbD+c9LzkCqM9SdVuJCb0dARdZY6UVJonI2MWDAJ\nByd7PHzcTOHVVdXY2LY+o1OUq8fexfhcspc6UpzXMHpeWlBMZalxSVdlaTk97G0axbeTOFCiLWxV\nA8DVRYa+xNh+CkqKcXWRmcJOJBtnKywtLLCytKKiugq5owSH+pkDZ3sHisrMm3n1UCrJLzTmSVdo\nwF2pbBS+7dAhBvb2RVXfwb9OWw4q9nRzRVf/26HNL0Dj1vTE7htnBj3d3UzxCwwG3FSqJvGb1fFw\nN400a/Pz8XRvqF93V1cMhUUAlJVXIHWRoFIqcK4/cVvq4oLe0HrdeGk80OqMI7NanQ5Pj4ZTzj3c\n3TDUl2V5eTkyqbEt7tqzD2dnJwYHDqS21rxTsb00HmjrR4C1Wh2eHu430alo0Nm7H2cn83W8PDVo\ndboGWzQNtmjc3THUl0dZWRlymQxvL0+T7fn5BbjfUL6/to5R43p5aVvQKEcuk+J9Q/z8ggLc3cyz\nxVPjga7eljxtY1s83N1MOsZ6abhn6jD/hvkt1Qt0T5ndalhYdPxzu2G1bNmyZa1FKikp4dVXX+Xp\np59mx44dREZG8uCDDzJ8+HBcXMzrfNnZ2eHm5sY333zD+fPn0Wq1LF26lJUrV5KUlERQUBADBw5k\n9+7dXLx4kbi4OF544QWkv/gR+yWr3lnT6O9RwcN54W9PUlNTQ2j9KPSSZx9m9/YY5i+agcbbnVHB\nd/HDwRPEX0zCwdGeabMmM2RYIOlpmVy72vKoeWs6m9fv4MTR09jY2nD3mDvJyszh2OFTHIo5RlV1\nNSNGBVFWWs7RgycoLSlrt87u7TFMnxOBj68ng4cOIDdby9FDJ0hOTCVqZihSmQtKldw0Qt5ejX/8\n58/49/XFp5cX0+eEs23T9+3SaE1HqZYTNTOMgH6+XE1NJycrjyeefpAJYaORK6TcuyCKfbvizB5x\nD4scT/DEuzHoC0lNTuM/q/7O7u0xzF44lWEjBjPgjr4ciT1OUkJKu+25mQYY32/49sttVJRXmOJP\nnxNB7L4jFOSbt3yjNZ3m2nNmejZT752MxtMNLx8NG7/ZblbH4mYazbWxrrClPfWvdlQ0ST8rLYc7\nxw1FppTi6qUmdvth/vTPxzi69wR6XSGjwobj4++FpaUlx/adZFToXfTq643fQF9yM7VcPBnfJE0/\ndeMOdmF2Pj5BAdhLHZGoZSQePM/YJyJJOX6Zwqx8eo8aiIPMidrqWtJ+SkSfrsV/zB04K10o1ZeQ\ndbHp0ip3jXOTax4yBT8mX6agtJhsfT7j+w9hxe5NjAoYSMzF02QV5BOfnY7CyZnBPn54ypUcvHyO\novJSDKXFhAQGNXHCHJROTXS81GoOnzmLrtBARp6W8LtH8uqnnzF+2DD+9cVaUjIzycjNZdfRY4SO\nGEFpeTm7jx3nQnIy7kolml909m0kTQeBvDUexB37EW1BAelZ2USFjOelN1cwafQotPkF7DgQR9LV\nNLzd3XFVKent7cW2fQfIzMlFqZBz1+A7mqRpaWPTVMdLw4HDR9Hq8rmWkcnUyaG8uPxfhI4PxtfH\ni+id35OYksrQOwbSp7cvvj7efLdnP4bCIvILCpgZGd6ozCx7NNXw8fIk5uBhtDodaekZTI+M4P9e\n+TthIRPw7elD9LYdJCZfYejgQfTx92Pl6s+IiTtEgV7Pxi3bmDguGJsmeW/acfLx8jLqaHWkZWQw\nPTKc//vrq4RNHI+vjw/R26/r3FGv8zkxBw8bdbZub6JjYdX0lUkfby9iYg+Sp9WRlp7OjKhInnvp\nFSZPCsG3V082b91GQmIyw4YOpk+AP369e7Fl2w7SMzJRqZSMvGt4kzSbozt0fLy9iIk7SJ5WS1p6\nRr3GX5k8aSK+vXzYvHU7CUnJDBvyC43MLFRKFSPvurOZVJupF28v9sceIk+n41p6BtMjp/D8X/5W\nr9OTzdu+IyEpmaAhg+gT4E9JSSlbd+zkzLnzeGo88P7FZjQAFhaWTTRu23ppZqShK8rM2q7tg83d\nyYGv9nc4jfELJ3RCTroPizozFow/99xzuLq6EhERwT/+8Q++/vprrly5wr/+9S8++eST7sjnTbnD\nJ/hX1RcIBL8OA9T+rUfqBEIH9OlyjaF3erQeqRNQ9m06M9DZOGrUXa4BYO3U9R0KK/tu6rTUmTdr\n0REsbdr23sstT1umyNot0fX1AmBhadUtOt1BXW1N65E6AVtp9zxn2ssrk1/qcBrLd/2zE3LSfZi1\ny1NOTg5vvfWW8Qv1L8/5+vo2eYlSIBAIBAKBQCD4PXM7vgPRUcx6h6KysrLJuxOFhYWUlbW+ZEcg\nEAgEAoFAIPi9IM6huAnz5s1j8uTJjBs3jvT0dJYvX05sbCxPPSUOoRIIBAKBQCAQCH7PmOVQTJs2\nDS8vL7Zs2ULv3r2pqqrirbfeYsiQIa1/WSAQCAQCgUAg+J3we1zyZPZJ2UFBQQQFBTW6dv78eQID\nAzs9UwKBQCAQCAQCwe3I79CfuLlDceLEiZsFmfjnP/9JdHR0p2ZIIBAIBAKBQCAQ3D7c1KF4+OGH\nUdYfcGRhYUFOTg62tra4uLhgMBgoLS3Fw6N7tjoUCAQCgUAgEAgEtyY3dSjGjRvHu+++C8BHH32E\nv78/48ePN4Xv27eP8+fPd30OBQJBp2HZTfud3+3V9CCyzmbcgJ5drgHQN7Dr9zuX+ylbj9QJ2Egc\nulzD2rnp4XldgZWtXZdrWFqbvSq4Y3TD+ojabtrm3bJH66fNdwrdUGZ11eIcCkH7+OWhor8Hbrpt\n7HVnAuDIkSONnAmAiRMn8tNPP3VdzgQCgUAgEAgEgtsMSwuLDn9uN8w6h0Kv13Pu3LlG106fPt3k\nbAqBQCAQCAQCgeD3jIVFxz+3G2bN5z777LMsWrQIlUqFTCYjPz8fnU7HO++809X5EwgEAoFAIBAI\nBLcwZjkUwcHBxMTEEBcXR25uLmq1muDgYGQyWVfnTyAQCAQCgUAguG24HZcsdRSz3ziTyWRMmzat\n0bW4uDiCg4PNFpszZw62trYAWFlZ8fnnnzcKj46OZv369aY4s2bNIioqyuz0BQKBQCAQCAQCQfdi\n1jsUW7Zsafbz73//u01io0ePZu3ataxdu7aJM3GdFStWmOJ0tjMhlbnw0vKneGn5U52ablcTNTOU\n3Uc2/CZ0fi+22NjasPPQNwwc1LdLdQSCrkRfVMR/1qzjP2vW/dpZuW0pLStj5cef8sTTz/3aWREI\nbgtKy8pY+cln/PHp53/trLQbi074d7th1gzFa6+9Rt++DR2joqIirl69ysCBA9sklpCQwOrVqykv\nLycwMLDZ2Y1169ahUqkoKytj4cKFuLi4tEljVPBwBg8bSGZ6NoGD+/PayyuoqakBwNHJnpjvDzMh\nbLQp/kOPz6ekpBRbWxtsbGxY/cGXHdbp09+PSRFjydcWYNAX8V30Hp59+Qns7GyxwIJBQQN4fNHz\naHPzW9WxtLTk1I/nKCsrbxI2c14kDo72GPSFODjas/6L6C7RefCxedja2ZCbo8XNw5WVb3+Gs8SJ\nmfOmkJutpU9/P955/SPq6urarbH8rRcpL68w5Xte5KMsffGxTrfFXePKhLAxFOTr8enpycoVn+Pm\noWb+AzO4eiUdR2cH1n7ybYc0AObeP42U5DTT31EzQ7ljyAAALl6IZ/P6Ha1qtKbz1IuPce1qJiq1\nnKzMXLb+bxeDggbQ09ebutpaJk4O5unHXjG1y5thZWXJ0hcfJfHSFfr09+Ptf35Iba1xu8SZ8yKw\nd7CnUF+EvaM9G9ZuIXji3fTt78e1tEw8PN1Y/X7r94yllSXT/hBJRnImnn4aNq/cSl2tsb2EzBtP\nD9se6PMMyF1lfPfZLmRqKWNnjiH3Wi52jnbs3xBrVnnV1NayJ/kYrk5ysot1hPmNxNLCOG5yJO0s\nujLjRhJ+ci/6q3wpq6rgZOZFJLaOZBXrmNR7RKtT1TW1tXx5eC8+SldS8rK5f/QkrCyNGj+lJlJU\nVkp1TQ3nrqXw9OSZFJeXsf/nn5A7SkjVZrNg1ESzpsNramr4eOtWfDUaktLT+cP06Sadj7duxUOp\nRGcwoJbLmTxiBF/v2YODnR2VVVVUVVezIDTUrDKrrqlh1fr/0dvLk8S0ayyZP8ekU1pWzuigoRw8\necoUf+fBw/ycfAWAPj19iBrX+ix1dU0N//34M/x9exKfdIWn//AIVlbGrTLjk5LZG3cIuVSKxNmZ\nKZMmsP37vZy/eBmAfgH+TI8IM8+W6hreWfURAb19iU9M5pklfzDpXE5IYu+BWOQyKRKJhMiwSZw5\nf4HUtGtYWliwL/YQb//zVaytW97Cs7q6mhXvryLArzeXExJ5bumSGzQS2LPvAHK5DBeJhMjwMIqL\niwmZMI7zFy+aZUMjnfdWEuDv11QnPoE9+2OQy2S4uEiIDJ9MVnY2X2/YiI+3FyUlJSxaON8sjXdW\nfkSAX2/iE5N4ZsnjN9iSyN6YWOQyGRKJM5GTQ/l07Vc4OjpQUVFJVVUljyy675aypas1uqvMutOW\nbiuzDz7E36838QmJPPunPzYqsz37Dxh1JM7190wJIePHcuHnS2alL7g1MGuG4v7772fdunWmz/UZ\nikGDBrVJbPHixTzyyCM88cQTfPjhh5w8ebJR+PDhw3n00Ud56KGHGDhwIEuXLm1T+gAJl5JZ+fbn\nRG/YibPECXeNqyks41o2Vb/Yi3vn1n1sWLuFtZ98S0jE2E7RefL5R1jz0Xq++nwTc+43LhP76rON\nvPbyCt5Y/j6HY4+b1TEGqK2tJeNaVrNhM+dNYf3aaLZt3M2UaSFIZS5donP+7CXcPNR4enswOWoC\nYHTELC0t6WHTg8TLV1p1JlrT+ODtz3jt5RWsencNu7btp7q6pktseerFxygpLsHe3o4LZy+bbNm1\nbT+b1n/HsLsGI1dIO6Sh8XKnrLQcbV5Dfuvq4Ofzl4m/lMSlCwlm2dGazvq10Wz6ZjtrPlrP9Nnh\nAJw99TPHj5zCx9eL82cutupMAIwPHU1utpbtm/eQl6tj3KRRprAZcyLYsG4r2zZ9T8S0icjkLkTO\nmMSu7THs3LKPPv1606e/X6sag0YHos8zcHz3CQxaA4NGB5rCUi+lIVNLUWmUDJs4FIBJCyZwcv9P\nHPnuGP6D/XCSmne2wSVtChJbR4a698XZxoFLeSmmMCtLSzwlrqgd5bg6KgA4ePU0tXV1VNfW4uoo\nN6ujfzz5EnInCWP7D0bu5MyJ5MumsKE9/fFVu5Omy+UOr14AbDl5hNraOqpqqvFWqM1eW3vo3DmU\nUimhd92FwsWFIzfstDd19GimjBrFnIkT2X30KAAThg1j2pgxzJ4wgbgzZ8zSADh48idUMhnhY+5B\nKZVy8GTDduAeahU9ftHBtrCwoG+vnvh5e9Gnp49ZGgcO/YBaqSAyNASVQkHskaOmsA8+/YL7Z89k\n/sxp/G/bd6ZnSf8+AQT09qWvf+vt6zoxBw+hVimJCg9DpVRw4OBhU9j7H69m0bw5LJg9i283b6Wu\nro7BgQO5K2goV6+lEzigX6vOBMD+2IOoVSqmTglHrVISE3fQFPbfVR+zaOE8Fs6dzfqNm6mrq0Ot\nUuHo0PbzP/bHHkStvpnORyxaOJ+F8+aYdD794ksmh4Ywa/pUTv50Bl1+68/LFsvro9Usmj+XBXNm\n8e3mLdTV1RE+aSJzZ05n0fw57ImJvaVs6Q6N7iqz7rKl28oszlhmUyMmo1IqiYk7ZAp7b9XHPLBg\nHgvn3suGTVvq7xllu+6ZWwkLC4sOf243zHIonnzyySbXfHx8mjgErREYaOxEWFpaMmzYMI4fP94o\nXKPRmF70HjlyJCdOnDCro3ojebk66urq8O6pIS01nfS0zBbjZ2fmAhASHsxnK7/qFB13D1eKCosB\nKCstQyZ3MelMnxNO9AbzRqdbY9kLbzBz3hQmRYyjuroGhVLWJToPPT6f/77xCf994xNW/OtDAPz7\n+pKdZRwVH373ULM6lS1xPd9zFk7lf19ta3StM23x7+tLSnIaG7/ezvwHZyJXSPH09jA5K/m6Atw1\nbh3SmL1wKpvX72g0Zblv90GiN+zkf19t4+V/PGManekIpvKZG8F/3/ik0fX33lzN0OHmhXXWAAAg\nAElEQVSDUKjkraaj8XJHV+/85OXq8PT2MIX9/c9vMWNuBJMigqmurkaukPH2a6u4J3g4IeHBWFtb\noXZVtKqh9FBSmF8IQKGuEKV7w3cmzZ/A1o93sPXj74heZax7pbuSQp0xflFBEQo38zaAyC8rxMnG\nHgBnW0fyywpNYYPd+jDUvS9B7v3YeHE/ADklOlzsnAjy6MuVggyyirStauQYCpA6GB0cmaMzOYUF\njcK9FGoWjQll74WfqK6pIU2Xi8JZwvgBQ7hwLZWUvGyzbMnSapFLJAAoXFzI1DbkzVVurNedR4/y\ncGRko2txp08zb+JEszQAMnNzkUuNOkqpC5m5eS3GD74ziMixY5g+YRxvrVlHtRlOa0ZWFgq5sQ6V\nCjnpmQ1lkJ2bh8TZGQB7Ozv0BgMTxtzDtPBQZkVF8K933jdLAyA9MwtlfTkolQrSMxuc8aycXCSS\neh17Owr0BgDc3Vx58rFHOHXmLFpd6x2k9IxMlIrrGkrSMxqe/VnZObjU15m9vT0FHdhaPT0jA6XC\neJ8oFYqb6jjYO5BfUNAoX3K5jKys1ttZekZWgy0KBemZN2jk5NxQXvYU6A24uxkHzvbGxPLQfQtu\nMVu6XsOo0/Vl1n22dJdOJop6HZXyFzpN7svfxnEElhYd/9xumOVQvP/++40+K1as4PHHH2+T0JUr\nV9i4caPp76tXr+Lt7Y3BYKC42Nj5fvvtt00jqikpKXh6erbLS7tjSH+GjRjM6g++QiZvumTql2vT\nJkdNoNBQzJlTF9qkdzOdzPRsJC7GG8TO3o6CfOMPl3UPazw0bqSlZrTZpubyVVxUwvovotmz4wDV\nNTUmp6azdaQyFwoNRQDcv3g2zhIncrO1JqdJX6BHKjN/adrNylgmd6GqqsqULnS+LbnZWooMxvSL\nCotxdHIkLTUDpbr+IamQkZVh3kOyOQ2lWk5lZSUR0ybi3VPDmPEjcXVX0dPXyxSnqqoaWzubDtsC\nMGt+JGdOnicn2+hcjA1pmF3QFxjMmm1JT8s0OR4qtaKRc1xcWMKGtVvYsyOOmmpjG6uuqeGbL6LZ\nuzOOqqpqkhJSW9XQZmiRyI0/ThKFBG2WzhTm5OJIaVEpABPmjMPeyZ68jDwkCmN8Z5kzuuyCpok2\ng9xeQnFlGQBFFSXI7SWmMF2p8T7sYWVNZY1xplJi64i9tXETCEcbO0qqml/CdiNuLnL0pcY2VFBS\nhKukwdn5sX62wtLCAmtLSyqqq5A7OeNYf6qzs709RWWlZtnioVSSX2h0iHQGAx7Kxqdpbz98mIG+\nvqikDXW8/+RJnOztGeDra1q21hoaVzX5eqOOVm/AQ61qEufGYZ20GzoR1lZWVFRWtqrh6eGOLt9Y\nh1pdPp4eDU67u6saQ6Hx+VJeXoHUxYXUa+kNGj2sqaioMMsWL40H2vpRU61Wh6eHuynMw90NQ315\nlpdXIJO6cOBQw+iyzMWF/ILW25mXp8bkeGi1Wjw1DQ64xt0dg+G6RjmyG+qmjWNj9TrG+0Sr091U\np6ysDLlMhreXpylf+fkFuLu3PjDipfFosEWnw9OjQaNxeZUjkxqf8bv27MPZ2YnBgQPNbmPdYks3\naED3lFm32dJNOp4aD3T1Onnaxjoe7m433DMVje8Z2njT3EL8HmcorJYtW7astUjPPPMMMpmMoqIi\nioqKqKyspE+fPjz33HM4mDktVVVVxbp160hNTeXAgQM4Ojry8MMP895775GUlERQUBCJiYlER0eT\nkJDAnj17eP7553F1dW0x3VXvrGn096jg4bzwtyepqakhtH7kfsmzD7N7ewxKtZyomWEE9PPlamo6\nOVl5PPH0g0wIG41cIeXeBVHs2xVHVWVV82Jm6lxJusrMeVMI6OvLqePnSLicDMD0ORHE7jticjDM\nJSxyPMET78agLyQ1OY3/rPo7u7fHMHvhVIaNGMyAO/pyJPY4SQkpXaKjzc0nfNpE+vTrjaWVFXu+\nO0ByYipRM0ORylxQquSmWYX2agDc98hsvv1yGxXlDZ2HzrYl9UoakTNDUbupqKqsJOb7QyQlpDB9\ndgQaL3fycnUcP3KqdYGbaGxev4MTR09jY2vD3WPuJCszh+NHThESHky/wAACh/Qn41oWJ46e7rAt\n//jPn/Hv64tPLy+mzwln26bvGTNh5P+zd97hUVZpH77T+yTT0hshhSoldOkQAglEAigdbKurK7YV\nddfVddddRf3WRnEpKouiiPQugZBCb9IJaUBIz0wmvZfvjwmThARmQgrFc1/XXFfynvc9v1Pecp7T\nHvoOeARf/05YWVmyfeOvjeIyMmrah3D96g1GBw9DqZTh4eXGll9288nid/l1xwEenxNG4KDedOvp\nz+HoEyTGX2PE2CGETQ3GzcOFlGtpnDjSdHqNh33j5zY7NYfew3sikUtwdFNyZOdRnnn/SU5F/kZB\nbgH9gwJx83XDxMSY0wfOkH41gyEhA5G7yMlXFXDlVNNpYp0cmxpLcisHLuVcpbCimNzSAgJdu/Lz\nhb084uTH0dTzaMoKiFen4Cf3wMVOgdJaypnMK5RUllFUUcoAt25NjUQnm0b/u0rlHEuKI6+4kMx8\nDaO79+Wz3RsYGtCDyEu/ka5RE59xA7mdhN5evrjLlETHnaWwrJS8kmLG9QxsomEla/oe9XB0JPbc\nOXILCkhXqZgwaBAffPcdowMDWfT991zNyCA1J4fdR48SPHAgq3fu5OC5c+QXFbH90CGG9+6NuZlZ\nozhNrZoash7OzsScOoVKk0daVjaTRgznvSVfM3bwQFSaPPYcPEzSjRt4ODnhJJcTceQoV65e42JS\nMq5KBf26d2sUn5ld0+lpnh7uHIg9jCo3lxvpGTw2YRxvf7CI4NEj8PHyZPOuPSQkX6XvIz0J8PVh\nz/4oLscncuFyHG4uzgzo27tJnMamTZcAenl4EBlzEJVKTUpaGuGTQnjzvX8yfuxofLy82Lx9JwlJ\nyfTt/QgBfr7EHD7K6bPnSEy+SllZOWEhjddqGDUzkujl6UFkdAw5KhUpqWlMCZvEG399jwnjxuLT\nyYtNW7cTn5hEvz69CfD3o7i4mK07dvPbuXO4u7ri6eHeJM7mvFh5eXoQGRVDjkpNSmpqnc67TBgX\nhE8nbzZt3UZ8QhL9+mp1fDt3Ysu2naSmpaNUKhg8cECj+Gqbach6ebhry0utJiU1jfBJobz57j8Y\nHzQGH28vNm+7WV69CPDzZdmqb4mMjkWTl8eGLdsYO2oE5uaN76nbllkb5qU52kPjXpVZR5RXu+k0\nYzl7eXqwPyqWHLWaG6lphE+ayMJ3/l73zHizadsO4hOTCOzTq+6ZKWHrzl2cOXcedzdXPN2bPjOm\nljZNjt1PHFkfo/8kPQyebvguqvcDRrUGzClavXo1Tz75ZKNjNTU1GBsbNMDRrjzi9WAVuEBwLzE2\nbv1UK0MY4vFIu2uM6u7d7hoAXXo6truGzFeh/6Q2wEJq2FqU1mDl2ropg4ZiUjfq054Ym7VsJPGu\n6YDeyJpK/R1lbYHxLUbsg4wos5ZTW2PY9MTWYuHQ/u/l1vDZ1A9aHcfrG99tg5R0HAZZBKmpqU2O\nvfrqq3z44YdtniCBQCAQCAQCgeBB5fc45ckggyI+vul0g6+++ooLFy60eYIEAoFAIBAIBIIHld/j\nouw7+qGYO3cuRkZGxMXFMW/evEZhZWVlVFVVtWviBAKBQCAQCAQCwf3NHQ2KKVOmALBixQrCw8Mb\nhdnY2DBo0KD2S5lAIBAIBAKBQPCA8SBOWWotdzQobhoR7u7u9O/fv0l4dnY2EomkyXGBQCAQCAQC\ngeD3yO/QnrizQXETNzc30tObOoh7/fXXWbduXZsnSiAQCAQCgUAgEDwY3NagmDhxIuvWrcPW1pbR\no0djZGTUxGv173FIRyAQCAQCgUAgENRzW4Ni+fLl2Npq9ywfNGgQq1evbnLOrb4pBALB3WFr0f7+\nAQCGenXvEJ3BAc0472pjvDrr9wLeFki9Ze2uYeUk1X9SG2Bi1f6+G4yacTjXHnSEjwBjc4t21+go\njEw6xm9UR/khMOognzqCllFbbZj39Icd499hh/tt3/xubm66v5szJgBeeOGFNk+QQCAQCAQCgUDw\noGKEMChuy9mzZ0lNTaWyQa/QihUr2LVrV7skTCAQCAQCgUAgeND4HQ5QGGZQvP322xw4cABvb2/M\nzc11x1UqVbslTCAQCAQCgUAgENz/GGRQXLx4kdjY2EbGBMDSpUvbJVECgUAgEAgEAsGDiFhDcRu6\ndu2KsXHTBV0BAQEtEps+fToWFtpFbiYmJnz33XeNwisqKvj4449xcnLi+vXr/OEPf8Db27tFGgKB\nQCAQCAQCgaDjMGjbBzs7O5544gk+/vhjlixZovt99NFHLRIbNmwYa9asYc2aNU2MCdAu/nZ1deW5\n555j/vz5vPPOOy2KvyFhU4PZc+jnFl3zv41LGBc6ql017oaHSedOGuYW5uyK/Ykevbq0q05b0VH1\n8nvm6+MbOZeZcK+T0Sa8/OUXRP32W5vElVdQyKerVvPpqtVtEt9tdfIL+OTrlXzy9cp21bkdT774\nCnsjo9tf56VX2Xug/XUedEpKS1m28lv+9NrCh0JHIGgvjIyMWv170DBohOLXX39l2LBh5OXlkZeX\npzteXl7eIrH4+HhWrVpFWVkZPXv2ZMSIEY3Co6Ojef311wHw9/fnypUrFBcXY2Nj0yIdY2NjTh0/\nR2lpWZOwD/7vbcrKyjHCiF6B3Zk56TmqqqqZNCWYnCx1u2nM+8N0iotLsLAwx9zcnFVLf2i1joub\nE2PGD0eTm4eXtzvLPv+O0PAguvbwJyEumYCunfnkn0tarTP32Sfw8tZuA3o49gSRv8ZiJ7Fl6syJ\nZGeqCOjmyxeLljfxU9ISDYAZ8yZzNSlF9//daOjTGTpyIA5Se8zMTRn0aD/eevmf9ArsjrePJ7U1\nNYydMILXnn+X6uo7b314J42Abr6MCx1JrkpDfl4hOzbv5c9/exFLSwvdPfHC/IWosnPvqGFiYsyL\nC58i8co1/Lr4sOTjb6ip0W7J99j08VhZW1KQV4SVjSUbf9jBhPAxdO+lHTW8cjGR7b/s1VtWN/MS\n8ocQMpIzcO3syo4VO6it0ZbzEwufoKKsAiMjI7y6efHVn76iz+g+eHb1BCAtIY3ju4/r1aiuqWF3\nwmFc7BSkF6oI9R+CsZG2PyP2+hlUJdr3ip/ckx6OPgCcSo9DYtGyZ7+6poYfj0biKXfkuiqLOYPH\n6EZXz6QkUlhWSlV1NefTrvLy2HBOXovnmioTJ4mUnMJ8pgQO1a9RXc2KHdvwcXEjKS2V5x+bjEmd\nxort23CVK8gtyMdRKmX8wEEA7D1xHLm9fYvyUlVdzbK16+js6UHCtRQWzJul0ykpK2XEgECij5/U\nnX/uSjwp6RkYGRkRdewEH73xKqYm+rfWrKquZsnqH/D19iI++SqvPD0Pk7rriktLGTFoAFFH6us4\nMzuH9Tt24+nmQnFJKbPDw/RrVFXz5X9X4tfZh/jEJF578TmdxpWERCKiYpA5OCCR2DExOAiA7Xsi\nUCrkhhfYTZ0Vq/Dz6aTVeaGhThIR0Q10xo3V6vwagVJuuE5VVRWfL16Gv58vcfEJvPHKSzqNuCvx\n7N0fiUwqxd5ewqSQCWRkZvLjzxvw8vSguLiY+XNm3Tc6VVVVfLH0v/j5duZKfAJ/fvlP9RrxCezd\nf0CrIbFjUsh4ioqKCRo9kgsXLxtcXh2l05H18sWy5fj7duZKQiKvv/RCo7xEREYhk0qRSOyYNCGY\nb9asxcbGmvLyCiorK3h2/tz7Ki8PS5kJ2oasrCzKy8vx9PTk5MmTXL58mcmTJ2NnZ6f3WoNGKGbO\nnMlHH33U5Pfss8+2KKF/+MMfePbZZ3nxxRf573//y8mTJxuFq9XqRsaDjY0Nubl3bnQ1R01NDWk3\nMpoNW/rZt/z7b5/z9Zer2b1tP1VV1dhJbHF2VZIQl9xuGru27uPnNVtYs3I9QaEj20Tn1befp7io\nGCsrSy6cjQPg0vl4ZHIHlI5yJk4Zh5m5Wat1KisrOXfmEokJV4m/nATA0y/MwtjYGDNzMxLikg1q\n6N9Jw83DhdKSMlQ59fV9Nxr6dA5GHePyhXj8Anw4ekh7/509dZFjh07h5ePB+TOX9BoT+jQWLHyW\n1cvXsfa7jUyfNxmAtd9u4N9/+5xPPljCwahjeo0JgOFBQ8jJUrN7835U2WqGjx2kCwt7IpiNP+xg\n1+Z9BIeNwl4qoba2lrgLiSTGXeXKxSS98d+k+9Du5KvyORVxigJ1Ad2H1Puq2Lt6L1sWbyHi+wjO\nHDhDTd0e46nxqWQkZ5CWkGaQxsWcZOwtbQl07YLEwpqL2Vd1YSZGxnjYO+FkI8PFVtuwK60sJ7+s\nCCfbljUoT1y9gszGjhEBjyC1seXEtXhdWG9PX7wVzqTkZtPTrRMAsVfO8ahvd4b59yRFncVVVaZe\njYPnz6GwdyB4wADk9vYcOn9OF/bY0KFMHDKEJ0aPYfexYwAUlZaQk5dHJxeXFuUl+vhJlDIpoSOH\no5A5ENPAeHB1dMT0Fn8PjwT4069nd25kZNLdz9cgYwIg6sgxlHIZE8eMRCmXEX30hC7MzdkJs1t0\n1mzcwrjhQ5kcHMTpC5fIzcvXq3Eg9iCOSgVhE8ahVMg5EHtYF7Zk5XfMm/E4sx6fwvot26mtraWw\nsIis7Gx8fToZlAedzsFDOCrkhI2v0znYQOeb75g3fRqzpoXfopPTIp39UTE4Oip5bGIIjkoFkdEx\nurCvvl7O/DmzmDNzOus2bKK2tpZv/vcDE4KDmBb+GCdPn0Ft4DetI3Qio2NxVCp4LHQCSoWCyOhY\nXdjir1fw5OyZzJnxOD9v3EJtbS2OSgU21tYGl1VH6nRUvUTGaPMSFjJee4/FHNSFLVm+ivmzZjB7\n+jTWb9LmJWTcWGZMDWf+rOnsjYy6r/LyMJXZ/YaRUet/94J//vOfxMXFkZaWxksvvURqairvv/++\nQdcaZFA4Ojo2e7ylju169uypFTU2pl+/fhyr++DeRKFQUFxcrPu/qKgImaxtnUplpmcDMH3OY/yy\ndhsAs5+ayo+rN7VZBTancfNYUMgIvl22tk10/Lr4cDUphQ0/bmfWU1ORyR2Y/eRUfvxuI6uW/sB7\nbyyisqL1zp+2b/yVbRv2sHndTj784h2ddmZGNlt/2c2AIX0J6ObbKo0n5jzGpnU7G+3d3NYaN0lK\nuManHyxl2sxJmJpqG12Z6dks/nQVfQf0Qq5s3T3n4upEYUERAKUlpUhl9rr6D58ewuafdxoUj5uH\nM+ocDQDqHA2uHs66sI/e+Yqw6eMZPWEoVVVVyOQORO89zI4Ne9mybjcL//EnTAx0ZCV3kVOYWwhA\nQW4Bcpf6RnxejnbkYPCkwRzdcRSA87HnObHnBEd3HCX85fBm11fdSm5JAXbm2gaCxMKG3NL6Rmhf\n1y70c+1Kf7du/HxhHwCHUs4yxPMRwDAj8ibZBRocrLWdEg7WtmQXaBqFe8iUzB0SxP7Lv1FVXc2c\nwWM5k5LE0aTLVNfUoCku1KuRrlYjq+utkUkkZKjrRzadpNp7Z/fRozwTOhGATdHRTB42HAw0iHU6\nWdnIHLTO+xQODqRlZ+u9xlmh4I8zn+DM5TjUDUaT70RaZhbymzpSKWlZWfrPl2rPl9rbk5mdo1cj\nNT0DRd27XCGXkZZRb4xnZmUjqStPaysrNPn5/LhhMzOmTm5p9TfWkd1Jx1Krs3EzM6Y81qK6SU1L\nQ1E3oqGQy0lNS9eFZWRmYS+R1GlYk6vRkJqWjkKuTZNMJiUjQ7/R2lE6qWnpyOs0lIpbNLKykUi0\n5WVlZYnGwPvpXul0XL1k6K5TyOWkpjfMS1aDvFihycvHxdkJgIjIKJ6eO/s+y8vDU2b3Gw/qlCcf\nHx/GjRvHzp07mT59On/5y19QKpUGXWtQi+Prr79m6dKljdZPLFmyhKVLl7Ju3TquX7+uN47k5GQ2\nbNig+//69et4enqSn59PUZG28TVixAjOnDkDwJUrV+jatWuLpzs15HYVIpXZU1lZSWFBEaZmplhZ\nWzEmeBgB3fzoN6gXnXy92lTjJhPCxlCQX8SZUxdafLM0d352porCfG38hQVF2NjaIFM4kKcpACB4\n0mj8u3ZutY5n3XSn8vIKbGys67Xr8panycNBavh0jls1FI4yKioqCJ08Fk9vN4aPHoyzq2OrNG6X\nl5FBjwJQW1tLZVUVllaWumNanXxkcsM9MDenkZ6aicRe+4K0tLJEk6ttPJuameLq5kzKNcN69dNS\nMpArtR6U5Uop6TfqX95FhcVs/GEHkbsPUl1VQ9qNTDw71XunrqysxMLSMC+/6nQ1djJteiUyCeqM\nxlP/bOxtqK6qpqxYO71L6VH/cqmuqsbMQv8omNxaQmFFCQAF5cXIrOrr8uZ0JzMTU8qrK6iuqaai\nuoqL2cmkF6pI1qSTXWRYT5iTREpeibZTIq+kCEdJvQfqk1evANrdN0yNjamoqsTY2Jjgnv0Z1Lkr\nJsYmeMia7zxpiKtcQW6h1vDILSjA5ZbpMtsPH6J7p04oHRyorKqitKKCg+fOkZiextmkRK5nGfYR\ndnN2IreucaXKy8OtmY6dhu3gmBOndH/b29mhyS8wSMfdxVlnfKg0GtycnJrqNGjZu7u6oNZoz9fk\n5+PsqP9j4+7miqquN1OlzsWtwWiNq4sz+QXatJaWlmFna0tpWRmRMYe4kpjEqTNnSb6m/xtzM206\nndxbdJyd6nXKyut1Yut0zp4j+XpKs/E2xMPdDVWdEalSq3F3c9WFubm4kJ9/My+lyKRSPD3cUam1\nacrN1eDi4tw00nuk4+7mirpOI0fVWMPVxVmnUVZWjtSh/r1Y20JLryN0Oqxe3Fx116nUatxdb8lL\nwc28lCF10L7ndu/dh52dLb179tBNW70v8vIQldn9hrFR63/3ArVaTW5uLps3byYsTDudtays+Wnq\nt2LyvgFjGSdPnmT79u2YmZlRWVlJSkoKv/76KzY2NiQkJLB48WI8PDzw9b19D3JlZSXff/89165d\n48CBA9jY2PDMM8+wePFiEhMTCQwMpEePHuzZs4dLly4RHR3NW2+9hYPDnRt3X3+xutnj4yeNZsTY\nIeTnFXAtKYX/fP0P9myPBLRrAtb/sI3ysnJqamo4evAklVVVDHo0kNKSMo7EnKCkuFRfsRisAfDi\na08xZvwwZHIHHp8dxr7d0QaPHtxO51pyCpOmBuPorKSyooLIX2PJSMsi7PHxuLk74+Hlxoafthv8\nMN5OZ9b8Kbh5uvDoiIEcjjnBlUuJJCVcI2xqMA5SexRKmW4k5m40Nq3byYkjv2FuYc6Q4f3JSM/i\n6MFTxF1MvCuNO+UlfHooXj7u9O7bnexMFUdiTzB8zGD6DngEX/9OWFlZsn3jr63SSE68ztSZE/Hv\n4sOpY+eIj9NOPwqfHkrUvkM6A6Mh5qbmTY7duJbGiKAhyB1leHi5sn3DXj748m327YwhfFYIfQf0\npEtPP47FniI54TrjJo0goLsv3XsFkJGaxamj55rE6enQtFGqSlXRY2gPJDIJclc5J349wex3ZnM2\n6iwAw6YO4+j2o7r7tc/oPrj5ueHRxQNNloakM02nV3koJI3+V1g7cDEnmcLyEtQl+fR368aP536l\nl7Mfh1POkVtaSLz6On5yT9wljvjJPTAxMiYpNxVzUzP85Z5Y3FJGDjLLJrouDnJOXLuCpqSIrAIN\nI7v05quIzQzx7c6BuLNk5ucSn5mKzEZCL8/OnLoWT2z8ObIL8nBxkNHDzbtJnDaKxp0aHkolB8+f\nQ11QQJpKxYRBg/ngf6sZ3bcvi9b+wLXMDNJycthz7BgTBg2iX0AXTE1MOB0fj5WFBf0CumBt2Tjt\nZpKm0zs8XJyJPn4KlUZDWmYWk0aP4N3PlxD06GBUGg27Yw6SlHIDdxcnnBRyDp0+w5nLcSTfSKWs\nooLQkcObxGls1nTZnKebK9FHjqHS5JGakUnYuNH89ePPGDd8KKpcDTsPRJN4PQVPV2eclAo6e3qw\nbd8B0rOyUchlDOz9SKP4TCyb1ouXuzsHYg+Ro87lRlo6k0PH89b7/2b8mFH4eHmyeeduEpKu0rd3\nT7r6+zGofyCmZqYcP/UbVlZWDB4Q2HQKTDNtTa3OYXLUaq1OyHje+sdNHS8279qj1enVk65+vgzq\nF4ipaQOd/o11jM2bPpdenh5ERsWQo1KTkprKlLBJvPHXd5kwLgifTt5s2rqN+IQk+vXtTYC/H76d\nO7Fl205S09JRKhUMHjigacKboc11mhmF8fL0YH9UrLa8UtMInzSRhe/8nQnjxmo1tu0gPjGJwD69\nCPD3o7i4hK07d3Hm3Hnc3VzxdHdvEuft8tLWOkZGxk002rpeapv5dnp5uBMZcxCVWk1Kahrhk0J5\n891/MD5oDD7eXmzetpOEpGT69u5FgJ8vy1Z9S2R0LJq8PDZs2cbYUSOabMFvdMv0xAf2HuvAMjO1\ntjUoj/eK3zYfanUcfcIfvWP4kSNH+Pbbb7lw4QLHjx9nwICm9fH9999z/vx5du3axe7duxkzZswd\n48zOzuaFF15g6NChPP7443z44YdkZ2cTEhKiN71GtQZMTF+4cCFvvPEGTg16rrKysvjyyy/58MMP\nycjIYMGCBY1GIDqKR7xG6D9JILjPsbXomJfjUK/u+k9qAwYHGNbQaA1enQ0fSWoNjgH6Ry1ai7Vb\ny9aK3C0mVk0b+22NWQsXn981NS2cD3UXmNrc342WllBbo39t2IOEkbFha4RaQ01l66cMG4KxmWFr\nHR8EOqrMLOWGjY7cK76d90mr43h6zZu3DSsrKyMsLIxdu3ZhamrKyy+/zKxZsxg0qH6t5datWwF4\n7LHHAO3GSP7+/q1O1+0waMrTjRs3GhkTAE5OTiQnaxcxu7i4YH0XC7UEAoFAIMXwaJEAACAASURB\nVBAIBIKHifZeQ/Hbb7/h5uam25yjb9++REc33vp6+/bt5Ofn8/333/P5559jZWWlN92HDx8mIiIC\ngFWrVrFgwQIuXzZstzWDDAoTExNWrlxJVlYWFRUVZGZmsnz5ct1izOTkZEpKSgwSFAgEAoFAIBAI\nHlbae5en3NzcJruiqtWN1z+mp6dTVFTE3LlzCQ8P59lnn9W7W+b69evx9/fn3LlzrF+/nsmTJ7N8\n+XKD8myQQbFo0SIiIiIYMWIEvXr1YtSoUURGRvLxxx+Tn5/P8uXLW7zjk0AgEAgEAoFAIGgZMplM\nt6ERQHFxsW4ntZvY2trSq1cvALy9vSkuLiYjo/nt7m/i5eWFl5cXu3fvZt68eYwZMwbXBovo74RB\nju08PDxYv349aWlpqFQqlEplI4GPP/7YIDGBQCAQCAQCgeBhxrgNtn1dvHgxCxYsaDasT58+ZGRk\nUFlZiZmZGadPn2bWrFnk5+djYmKCra0tgwcP5saNG4DWDUNNTQ0KheKOmikpKezZs4ft27ezbds2\nampqyNKzlfhNDNuovg43Nzd69eqlMybefvvtllwuEAgEAoFAIBA81LTFGorbGRMAlpaWvP/++3zw\nwQd8+eWXBAQEMGjQIFasWMFPP/0EaJ1JX758mRUrVrBo0SIWLVrUZLesW5k7dy5bt27llVdeQSaT\n8emnn95xB9dGeTZkl6ecnBw+/fRTLl26RGlp/XaqKpWKs2fPGiTUXohdngQPA2KXp5YjdnlqOWKX\np5Yhdnm6fxG7PN2fiF2etHz/9H9aHcfcb//cBinpOAya8vTuu+8SHBxMfHw8H330EVVVVcTExDQy\nLgQCgUAgEAgEAsGDiUaj4R//+AexsbEADB8+nPfeew+pVKrnSgMNirKyMsLDw9m4caPOccaQIUP4\n05/+1IpkCwQPBo84B7S/hotbu2sA+Hvofym0BZ273nmeZlvg4NkxIxQ2Hvo9QbcWU7uO6Qk30TPc\n3RYYN+OkUaAH/RMFWs2tjuDai4dpJKSmqqJDdB6mEQpqHzyv1u1BGyyhuCd89NFHDB48WNe+P336\nNB999BGffKLfr4ZBBsVNjIyMuHjxIt27d+f69evExcXdXYoFAoFAIBAIBIKHEH1+JO5XFAoF06dP\n1/3v5+en8zmnD4MMiv79+7N27Vrmz5/P9OnTsbOzo6CggOeff/7uUiwQCAQCgUAgEDyEPKD2BNnZ\n2VRVVekc5lVWVpKTk2PQtQYZFA2nNu3YsYPLly/j5eVFt27d7iK5AoFAIBAIBAKB4H5i9OjRjBkz\nhq5duwIQFxfHm2++adC1tzUo9u3bx9ixY5sc9/b2xtvbG4CDBw8ydOjQu0iyQCAQCAQCgUDw8NEW\nfijuBSEhIQQEBHDkyBGMjIx466236NSpk0HX3tagWLJkCba2tnd00/1///d/LTYoysvLefzxxxk6\ndGgTq2fz5s2sW7cOCwsLAKZNm0ZYWFiL4hcIBAKBQCAQCAQtp3PnznTu3BmAv/zlL+Tn57Ns2TK9\n191224e4uDieeuopnn76aZ566qlmf1euXGlxQr/44gu6d7/9Xviff/45a9asYc2aNa0yJsKmBrPn\n0M/NhplbmLMr9id69Opy1/G3VMPKypIXXn2SJd8talOdtqQjdG6n4SC1568fvMpfP3i1Sdj/Ni5h\nXOioNtG517y34k0Gjgm818loE5Yd38jZzIR7nYw24ZXFXxJ15rdWx5NXUMCnK7/j05XftUGqBIL7\ni5LSUpat+IYXX3vjXiflgePJF19hb2T0vU6GoIMwMmr9737go48+wsXFxaBzbztCsWbNGjZu3Ii1\ntTWzZs3Cz8+vyTlz585tUcK2bt1KYGAgcXFxlJSUNHvO999/j1KppLS0lDlz5mB/F06SjI2NOXX8\nHKWlZc2Gz5g3matJKbr/w6YG80gfrZFz6cIVNq3b2eYaNnbWROyKpkfvri3Jyh11ho4ciIPUHjNz\nUwY92o+3Xv4ndhJbps6cSHamioBuvnyxaPkdR5kM0Xn17ee5cT0dpaOMjPRstv6ymz//7UUsLS0w\nwohegd15Yf5CVNm5d61hY2tF5K8HGTN+WKPjk6YEk5Ol1pt+Q3UCuvkyLnQkuSoN+XmF7Ni8l6df\nmEVxcQkWFuaYm5uzaukP+jVMjJnxpyncSEzD09+DH7/6hdo6R1uhc4IxtzBDk5OH3FnGxhXbABg6\nYRAaVb7B+TAyNmLk/CCyr2Xh1MmZA6v36jQkSnv8B3WlpKAYqYucQ+ui6DaiJ04+LuRcz8axkxOR\n3/xqkE51TQ27Ew7jYqsgvVBFaMAQjOu2mIy5dgZ1SR4AfnJPejj5AHAqPQ6JhY3BeamuqeGHgxF4\nKZy4mpPJvGHjMDHWapy+lkBhaQlV1dWcu3GV1yZMpaislP0XTyOzkXBNlcnsR8caNIRcXV3Nyp07\n8HFxITE9jecnPabTWbljOy5yObkFBThKpYwfMBCAvSdPIJcY/p6pqq5m6Q8/4evlScLV6yyYNxsT\nE61GSWkZwwf0I/r4Cd35azZvw9rSkvLKSiorK3ly6mSDdRavWo2fjzdXkq7y6h+ewsRE68zrSlIy\n+2IOIXOwR2JnR+jYUXy+/BvKKyqora3l3KU4Fv/7fRRymUE6Xy7/Bj+fTsQnJfPaH5+t10lMIiIq\nFpmDAxKJLRPHjWXbngjOX9bu8NfV35cpoRP0a1RV8cWy5fj7duZKQiKvv/SCTiMuPoGIyChkUikS\niR2TJgTzzZq12NhYU15eQWVlBc/ON+xb0xE6VVVVfL54Gf5+vsTFJ/DGKy/Va1yJZ+/+SGRSKfb2\nEiaFTCAjM5Mff96Al6cHxcXFzJ8zy+C8fL7ka/x9OzfViY9n774DyGRS7CUSJoWM1+qs34CXp6dW\nZ/bMNtcoKioiaMwozl+6ZFAeGup8sfS/+NXVy58XvNioXvbuj0Imc9DqTAjmmzU/YGOtrZeKykr+\n8OT9VC/VfPnflfh19iE+MYnXXnyu/nlJSCQiKqbuebFjYnAQANv3RKBUGO68skPvsQ4qsy++Xo5/\nZx+uJCTx+kt/bFD/iUQciEImdUAikTBp/Di++f5HbKytKK+opLKigmfnzzG47ARtj6E7Vt12hGLA\ngAF8/PHHPP/88+zYsYPXX3+d/fv3NzpnyZIlBicoKSmJ5OTkZtdlNNR87rnnePrpp+nRowevvPKK\nwfE3pKamhrQbGc2GuXm4UFpShiqnvvFbWwsXz8dx5XIily/Et4uGKjuX4uLmjai71TkYdYzLF+Lx\nC/Dh6KGTADz9wiyMjY0xMzcjIS7ZIGNCn866NZvZ+NN2Vi9fR/gTIQCs/XYD//7b53zywRIORh3T\na0zo00i7kUnlLR427SS2OLsqSYgzbMsyQ3QWLHyW1cvXsfa7jUyfp23Y7dq6j5/XbGHNyvUEhY40\nSKPfiD5ocvKI3XWEPFUe/Ub00YUlX7qK3EmKo7uSweP6A2Bta4XMScaNpFSD8+E/qCuF6gIuHjhL\nUW4hfgPrR9RGzBtLeWk5ZhbmZCamAZCZlIG1vQ22Mlu6j3gEE1PDPMlezE5GYmFLoFsXJBbWXMy+\nqgszNTbGw94JJ1sZLnbaD2JpZTn5ZUU42xr+gTyWdBmZrYSR3Xojs7XjRFL9ltN9vf3wcXQhRZ3N\nIx7auZpbTh6ipqaWyuoqPOWOBs9HPXjhPAp7e8b1H4BcYs+hC+d1YWGPDmXi4CE8MWo0e44fA6Co\ntJScvDw6GdgDAxB97ARKmZTQkcNRyByIPnFSF+bq5IiZaeN+mnFDhzBtwjhmh4USeeSYwTpRh46g\nVMiZGDQGpVxG1OH6a5et/oG508KZGR7Ghh27qK2tZWZ4GG8veIHX//gsQ/oHGmRMAByIPYSjQk7Y\n+CCUchkHDh7RhS1ZtZp506cya9pk1m/doXufdPP3w7+zD139fA3SiIyJxVGpICxkPEqFnAMxB+s1\nlq9i/qwZzJ4+jfWbtlBbW0vIuLHMmBrO/FnT2RsZZZBGR+nsj4rB0VHJYxNDcFQqiIyO0YV99fVy\n5s+ZxZyZ01m3YRO1tbV8878fmBAcxLTwxzh5+gzqXP3vSp2O8nY6K5g/ZyZzZjxRr7NmLRPGBTFt\nchgnT/+GOlfT5hqOSiU21tYGpb8hkdGxWp3QCSgVCiKjY3Vhi/+7kidnz2DO9Mf5eePNeglixrQp\nzJ89g4j7rF4OxB7U3mMTxmnvsdjDurAlK79j3ozHmfX4FNZv2U5tbS2FhUVkZWfj62PYPPSOzEtH\n6dzxuVyxivkzpzP7iWms37RVW/9BY7TP5cwn2HvgwRzVMTIyavWvI7m1fX836PV04+zszGuvvcai\nRYvIy8vj5ZdfZvXq1RQVFbVo9CAiIgILCwtWrFjBqVOnOH/+PGvWrGl0jpubm84b3+DBgzlx4oTB\nDWJDeWLOY2xatxMj6itr354YNv+8i1/WbuNv/3pdZzm3pUZ7kZRwjU8/WMq0mZMwNTXBr4sPmRna\nUYQBQ/oS0M2wD/6dyEzPBiB8RihffbKy8bHpIWz+Wf+Izt0w+6mp/Lh6U5sO/bm4OlFYUARAaUkp\nUpm9Li9BISP4dtlag+JxdFOQpy4AIE+Vj6NbvSO3iXPHs/7rLaxftpl1izcCEDx9DBG/RLbonrB3\nklKcp01rkaYQB6d6p3RKL0dyU1Wc3XuKvhMHYm1vTWDoQE7tPMbRDQfZvXgr1VWGOZjKLS3AzkLb\nSLCzsCG3pH4Upa9rF/q5daW/WzfWnd8HwMGUswzxfIRaDH82s/I1OFhrnbdJbezIKmjc2PGQOzJ/\neDARF05TVV1NijobuZ2E0d37cOHGNa7mZBqkk6FWI7WzA0AukZChrh/dcqp7t+w+dpRnQkIB2BQT\nzeShw1r0nknLykbuoHWqJ5dKSc/KuuP5zkrtvRF55Bhzww2fxpmakYWiLs0KmZS0zPoyyMzOQVLn\nDM/KwpK8/AKcHbUO+LbuieCx8UEt0MlEIdMaHwq5jLSMemNcq6MtTytLSzT5+YwdMZTw0PE8HhbK\nh58voapa/32WmpahM3AUcjmp6em6sIysLCSSOg0rKzR5+bg4OwEQERnF03NnG56XDtBJTUtDIZfX\na6Q10MjMwl4iAcDayppcjYbUtHRdmmQyKRkZht3LDa9TKBS317G2IleT11hHKiUjU7+OoRra8soz\nKN2305HX6SjlclLT6++xRvViadmoXvZGRvH0XMN6wTusXtIzbv+8ZGXrnhdrKys0+fn8uGEzM6ZO\npgWvyw68x+5BmSlurf/sBs9l4/qPOBDN03P0j7TdjzxoU56WLl3KZ5991uzvt98Mmw5ssOtMc3Nz\nPD09qa2tZdGiRWzdurVFif3jH//Iiy++yHPPPUdgYCA9e/Zk3rx55OfnU1SkbTR99tlnVNd9nK5e\nvYq7u3urrLRbr1U4yqioqCB08lg8vd0YPnowTi5KvH08dOdUVlZhYWm4p1dDNW53/t3qAIwMehSA\n2tpaKquqsLSyJDtTpWsw52nycJC2bMrY7dI3bdYkzpw8T1Zmtu6YqZkprm7OpFxLaxMNQNfgNjUz\nxcraijHBwwjo5ke/Qb3o5OvVap301Ewk9tqXl6WVJZpcbeN5QtgYCvKLOHPqgkF1lJWWg4Nc+7J1\nUNiTnabShdk52FJcoB2NmjB7HHYOtlhYWdBvRB+8/D3o0tcfV29nvRp5mbnYOGgbjbZSO/Ky6hvh\nhbmFlBVrp3SVF5dhbmWBtYM1ZYWlAHQZ2h2lt5NeDQCZlYTCcm16C8uLkVnX3zOquulOZiamVFRX\nUF1TTWV1FRezkskoVHFVk05Wkf5eKmd7GXkl2vtSU1yIk6TeODpeN1phbGSEqbEx5VWVyGztsLGw\nBMDOyorCUsNG91zlcjSFhQCoCwpwkTceRdlx5DA9OnVCYe9AZVUVZRUVHDp/jqT0dM4lJXFdj3EA\n4O7shLqucaXWaHB1alrOtxooew8extbGmkcC/KmpMcyTrLurMyqNts5VuRrcnOvvGVcnR/ILtPks\nKy/HwV57L1ZWVpKRnY2nm6tBGlodF1R1PY0qdS5uDUZrXJ2dGulI7e25llI/ymZmZkp5ebleDQ83\nV1Tqmxpq3F3r0+fq4kx+gdY4LysrQ+qgvf92792HnZ0tvXv2MLjMOkLHw90NVZ2hqlKrcW9Q1m4u\nLuTnazVKS0uRSaV4erjr0pSbq8HFRf+zX69TlxeV6g46ZcikDng2OD9Xo8HFWb+OoRra8qr3TN/S\nfj53dzfUdTo5ajXurg3vsQY65fX1smvvPiS2tvR+5P6qF3c319s/Lw3usdLSMuxsbSktKyMy5hBX\nEpM4deYsydeu3zd56TCdhmWmuqX+Gz2X5fXPZcR+7Gxb9vzfTzxoIxQlJSXk5OQ0+ysra35q/62Y\nvP/+++/f6YSKigo2b97MX/7yF/73v//RrVs3/vWvf91x6tKd2Lt3L3v27CEjIwMrKyv27NlDYmIi\ngYGBJCQksHnzZuLj49m7dy8LFy7EqZmPdUO+/mJ1s8fHTxrNiLFDyM8r4FpSCv/5+h9sWreTE0d+\nw9zCnCHD+5ORnsWxQ6cIChlB157+9OzTjbQbGZw4Ypg11hINM3MzJk+bQJ9+PUlNSefG9XT9AnfQ\n2bM9kvDpoXj5uNO7b3eyM1UciT1BUsI1wqYG4yC1R6GU8cvaba3W+dd//oJfFx+8OnkQPj2EbRu1\nc/PDp4cSte+QrlHeGg2Fo4ywqePx7+rD9WupZKRmcfTgSSqrqhj0aCClJWUciTlBSXFpq3SSE68z\ndeZE/Lv4cOrYOeLjknjxtacYM34YMrkDj88OY9/uaCor6qdfOdkqmsSfmZJFv5F9kMrtcXJ3JHr7\nIV7693McjThBnjqfIeMH4OHnjrGxMUcjTnDh+GWqqqrp3r8r5aXlnD92ibKS+oaYk52kiUZuuhr/\nQV2xkdohdZFxft9vhC2cRtzBi+Smqegxshd2cjuqK6tJOBZHQU4+PUf3xt7RAamLlLN7T+nWXNxE\nbm/VREdh7cDF7GQKy0tQlebT360ba8/+Sm8XPw6nnCO3tJArquv4yz1xt3fET+6BibExiepULEzM\n8Jd7YmHa2AiXKRtPi3CVyjmWFEdecSGZ+RpGd+/LZ7s3MDSgB5GXfiNdoyY+4wZyOwm9vXxxlymJ\njjtLYVkpeSXFjOsZ2OQFa2lv2SQv7kolh86fJ7eggHSVigkDB/GvNf9jVJ++fPzTWq5mZJKak8Ov\nJ44xYeAgAgMCMDUx4XRCPJYWFvQLCMDasnG85nVG3U08XF2IPnYSVV4eqZlZhI0eyd8++4qgoUNQ\naTTsio4lKeUGHs7OOCnkrPx5A9HHT5BXUMiWiP2MHjQAczOzRnEaWzTtxPB0dyPq0FFUubncSM/k\nseAg/vLhJwSPHE4nTw+27Ikg8eo1+vTsgX9n7XSKrb9GMGLQQN1H+VaMmxl99fJw58DBw+Soc7mR\nls7kkGDe+udHjB89Eh8vTzbv3ENC8lX6PtKDAN/O7I6M4nJ8Iucvx+Hm4syAvr0bxWdkatasRmTM\nQVRqNSmpaYRPCuXNd//B+KAx+Hh7sXnbThKSkunbuxcBfr4sW/UtkdGxaPLy2LBlG2NHjcDcXH9H\nT1vrGDVXXp4eREbFkKNSk5KaypSwSbzx13eZMC4In07ebNq6jfiEJPr17U2Avx++nTuxZdtOUtPS\nUSoVDB44QG8+dDrRMeSoVKSkptXpvMeEcWPx6eTFpq3biU9Mol+fW3TSM1AqlAwe2L/NNYqLi9m6\nYze/nTuHu6srnh7uTSNtxtrw8nBnf3QsOSo1N1LTCA8LZeHf3mdC0BitzradxCclEdinNwF+vixd\n+S2R0TFo8vL5Zcs2gkaPbFL/RsaN+0Pbo15qqiqbHPNyd+dA7KH65yV0PG+9/2/GjxlV97zsJiHp\nKn1796Srvx+D+gdiambK8VO/YWVlxeABgU2mjRmbNc5bh95jbaxT28yIpZeHh/a5VKlJSUsjfFII\nb773T8aPHY2Plxebt998Lh+pey6/IzLmoPa53Lq92eff1NrOoDzeKy7tNHx66+3oFjqoDVJiGNbW\n1ixYsICxY8c2+dnY2NCli/5NjIxqbzPWn5mZyY8//sgvv/yCqakp06dPZ+bMmcgb9PgdOXKEwYMH\nt12O7oJHvEbcU33Bw88jzgHtr+Hi1u4aAP4eUv0ntQGduzY1wtoaB08H/Se1AbZeho30tAZTO1v9\nJ7UBJgY0yluLsUVTo/VBxdisqXHULrTx1N57SW2NYVMtW4uRiUF+eVtFVWlxu2sAmFoZvsHF/U5N\nhf4Ry7bAUmH4KOy9YMOLX7Y6jmnL7m4d8b3itk/kmDFjMDc3Z9KkSYwfPx4zMzOSk5NJTtYukK2t\nreWTTz5h8+bNHZZYgUAgEAgEAoHgfuZ+2fa1I7mtQeHk5MSUKVMAOH36dLPnFNTNexMIBAKBQCAQ\nCAQPrqfs1nBbgyI8PJyXXnrpjhdbWT08Q9sCgUAgEAgEAoGg5dx2l6cFCxbovfiZZ55p08QIBAKB\nQCAQCAQPMg/atrE3qa2tZdOmTaxYsYKKigp27Nhh8LUGbxsrEAgEAoFAIBAI7syDtm3sTT7++GOO\nHDnCmTNnMDMzQ6VS8fnnnxt0rTAoBAKBQCAQCASC3zm1tbV8+umnKJVKjIyMePLJJw3yNQTCoBAI\nBAKBQCAQCH73GNf5d2k4QqLRaG53eiMM2sh57NixBAcHs3DhwrtInuB+wtS4/ffuBnCTGOZBszV0\nlre/BkA3F8d21/D36Rj/EArXjvF3YO/Z/vmxcuoYPxQd4SPCpIM2uOiIYfSO8t1QW13VITodQkdM\nb+goXxcP0e42xqbt77flocNI9FPDg/sYWFpa8u6773L16lVWrVrF4cOH6dmzp0HXGtS6lMvlwpgQ\nCAQCgUAgEAj0cK/WQLSWl19+mY0bN5Kfn8+5c+eYMGEC06ZNM+hagwyKwMBArl27hre3d6Pjzzzz\nDN98802LEywQCAQCgUAgEDyMPKD2BEZGRkybNq2REXH06FEGDRqk91qDDIrz58/z008/0alTJ2xt\n64f/4+Li7iK5AoFAIBAIBAKB4H5gyZIltw2LiYlh/fr1euMwyKBQqVS89957jY7V1taycuVKQy4X\nCAQCgUAgEAh+FzxoU54OHDjAqFGjuH79Ounp6QQGBgJw+vRplEqlQXEYZFAsXLiQ0aNHNznu6ura\nguQKBAKBQCAQCASC+4mFCxcyaNAg/v73v7N27dpGYX//+98NisOg5fjNGRMAW7ZsMUikIeXl5YSF\nhfHJJ580CauoqOCDDz5gxYoVvPPOO1y7dq3F8d8kbGowew793OS4g9Sev37wKn/94NW7jrsjNe6k\nI/h9U1ldxTs7V3FVnXGvk9JuvPLVl0Sd+a1N4sorLOQ/363hP9+taZP47leefPEV9kZG3+tkPBCU\nlJaybOW3/On1N+91Uh4ISkpLWbbiG1587Y3211n5LX96TWwGI3gwedA8Zd9cI5Gdnd0kLCcnx6A4\nDBqhyMnJ4dNPP+XSpUuUlpbqjqtUKhYtWmSQ0E2++OILunfv3mzY6tWrcXV15ZlnniE+Pp533nmn\niaVkCMbGxpw6fo7S0rImYTa2VkT+epAx44fpjo0cO4Qu3f24kZKOq7szKxd/3+YaT78wi+LiEiws\nzDE3N2fV0h9anZeAbr6MCx1JrkpDfl4hOzbvJTQ8iK49/EmISyaga2c++eft58XdxMTEmJfffo6E\ny8kEdOvM5x8up6amBoApM0OxsraiIK8QaxtLfl6zlZDJY+nS3Y/EK8n4d+3M/32wzLC8mBjz5Ksz\nuRafgk+AF99+tpaaGu1WhlOenIi5hTm52bkoXeSsXbaRASP64tPFm8zULBxdlaxfqd+ANTY2ZtJz\noaQnZ+Dm68rW/26ntk5j1pszqCivwMjICO/u3vznj58z6Q+hmFmY6Y4tf2sFBbmFenWMjI0YOHMk\n6pQcFF6OHF17gNq6bRltFRI69fOntLAEe2cZpzYexMnPDXsXGbW1tfj092fvF5t16bod1TU1bDoX\ng7uDkhuabKb1GqHbIxogKvEMznYy3f+/nImisrqKWiBZlc7Lw6dgb6V/y9Pqmhq+PxiBl8KJazmZ\nzBs2DpM6ndNXEygoK6GquppzKVd5PWQqRWWl7LtwGrmthKs5mcwZOhZjPW+/6upqVu7Yjo+rK4lp\naTwf9phOY+X2bbgoFOQWFOAolTJ+wEAA9p44jtxeojf9Damqrubrn9bT2dODhOspvDR7hk6npLSM\nYf36EnPytO78XTEHuZiYBEBAJ2/CRo0wSGPxqtX4+XhzJekqr/7hKUxMTAC4kpTMvphDyBzskdjZ\nETp2FJ8v/4byigpqa2s5dymOxf9+H4VcpkcFqqqq+fK/K/Hr7EN8YhKvvfhcvU5CIhFRMcgcHJBI\n7JgYHATA9j0RKBXylpVZA50rCYm8/qfndTpxCYlEHIhBJnXA3s6OieODOHP+ItdSbmBsbMz+6Fj+\n86/3MTU10aNRxeeLl+Hv50tcfAJvvPJSvcaVePbuj0QmlWJvL2FSyAQyMjP58ecNeHl6UFxczPw5\nswzMSxVfLP0vfr6duZKQyJ8XvFivE5/A3v1RyGQO2EskTJoQTFFRMUGjR3Lh0uUWlFfH5aW9daqq\nqvh8ydf4+3ZuqhEfz959B5DJpNryChlPUVERQWNGcf7SJYPL66aOrl7iE/jzy3+6pV4OaPMisavT\nqauXi/dnvXyxbDn+dffY6y+90CgvEZFRyKRSJBI7Jk0I5ps1a7Gxsaa8vILKygqenT/3vsrLw1Jm\ngrZBLpfzwgsvMGDAAACOHz+OXG7YN8WgEYp3332XwYMHY2pqykcffcQHH3xAUFAQkydPblFCt27d\nSmBgIG5ubs2GR0dH07t3bwD8/f25cuUKxcXFLdIAqKmpIe1G8722aTcysgq9bgAAIABJREFUqays\nbHRs0tRgdm/bz87NEQR09aVLd78219i1dR8/r9nCmpXrCQodaVhG9OgsWPgsq5evY+13G5k+T1sX\nl87HI5M7oHSUM3HKOMzM9e8JPyp4KNmZKnZs2ktOtpqR4x7VhYVPD2H991vZvvFXQiaPxUEq4fL5\neGQKBxSOckLCgwzSABg8uh/q7Fwit8eiztEwaFQ/XVj8hSSUzjJcPJ0YPn4IAGPChhGz5zBROw/R\nyd8Tny5eejV6DutBviqfE3tPkq8uoOejPXRhu1bvYcOXm9jzv72cjvyNmuoaojfFsuHLTWxeupXL\nx+MMMiYAvPv5U5xbRELsBYo1RXj3q79nBs4YSUVpBWYWZuQka+suKyGNtIvXcHCWkp2UodeYADiT\nloCDlS2Dvbtjb2XLmfREXVhOUR7mJmZILK11x8b49WVW4Fie6D2S7i7eBhkTAMcSLyOzlTCqW2+k\nNnYcT6rfbKFvJz98HF1IUWXziGcnADafPERNbS2V1VV4Khz1GhMAB8+fR2Fvz7j+A5BL7Dl0/rwu\nLGzoMCYOHsITo0az59gxAIpKS8jJy6OTs4tBebhJzMlTKGVSQoYPRSF1IObkKV2Yq6MSM9PGfShG\nRkZ08fHG19ODAG/99xdA1KEjKBVyJgaNQSmXEXX4mC5s2eofmDstnJnhYWzYsYva2lpmhofx9oIX\neP2PzzKkf6BBxgTAgdiDOCoVhE0Yh1Ih50DsYV3YkpXfMW/G48x6fArrt2yntraWwsIisrKz8fXp\nZFD8N4mMPYijoqHOoXqdFd8yf+bjzH58Cuu3bKO2tpbePbszsF8frt9IpUe3LnqNCYD9UTE4Oip5\nbGIIjkoFkdExurCvvl7O/DmzmDNzOus2bKK2tpZv/vcDE4KDmBb+GCdPn0Gdm2tYXqJjcVQqeSx0\nAkqFgsjoWF3Y4v+u5MnZM5gz/XF+3riF2tpaHJUKbKyt7xDjvctLR+jsj4rRllezGiuYP2cmc2Y8\nodNwVCpbXF5ws14UzdfL1yt4cvZM5sx4MOolMkabl7CQ8drnJeagLmzJ8lXMnzWD2dOnsX6TNi8h\n48YyY2o482dNZ29k1H2Vl4epzO43jIyMWv27F/z9739n6NChnD59mtOnTzN06NC2nfJUVlZGeHg4\ntra2DBgwgCFDhvD222+jUqkMTmRSUhLJycmMHTv2tueo1WpsbGx0/9vY2JBr4A3bGv7z768ZOnIg\nQSEjMTU1QenUsh4+Q8hM1w4jBYWM4NtlLR91aQ4XVycKC4oAKCkuRSqzZ/aTU/nxu42sWvoD772x\niMqKSj2xgJuHK+ocbTmrsnNx96xvxP3zL/9hyowQgkJHUFVVjUwhZcaT4fy0ehPfLvuR99/8xCAN\nAGd3R/JU+QBoVHk4udc7jJv21CTWLF7P/778me+++AmAb/6zlsBHe/Fo0ABMTU2QKfU7S1O4yHVG\nQYG6ALlrfV3mZecB8GjYEA5vO9zo2KCQgRzddQxDkTg6UJJfV/Z5Rdg51jtZk3ooyctQcznyLD2C\nA7G00zotK1YXcuKXWJy7eGBlb9NsvA3JKcrH3lJ7nr2VDTlF+bqwmKSzDPXpSUOzRGaj7c0/mHye\nRzsZ5ogGICtfg9Raa3xIbezIym/sFdNT7siTI4LZd/40VdXVpKiyUdhJGN29DxduXONqdqZejQy1\nCqmdNn1yiYQMtVoX5iTV1uvuY0d5JjQUgE0xMUweNpyWuuJKz85BZm8PgMLBgfTsOw/VjugfyKSR\nIwgfO5r/+24NVdXVejVSM7JQ1KVZIZOSllmf/8zsHCR1jvCsLCzJyy/A2VG7oG3rnggeGx9kcF5S\n0zNQyLTGh0IuIy2jvmMhMysbiZ0dANZWVmjy8/lxw2ZmTJ1MSwstLT0DuVybH6VcTmp6A53seh0r\nS0s0edp70MXJiQXPPc3pM+dQqfW/o1PT0lDU9XIp5HJS09J1YRmZWdhLJHV5sSZXoyE1LV1neMlk\nUjIy9N9jWp105HXX3ZqXjKwsJJKmeWkpHZeX9tdpeI1CobithpWVFZq8PIPSfTudm72cSsUtecnK\nrq8XK8u71um4esmoLzO5nNT0hnlpcI9ZWaHJy8fF2QmAiMgonp47+z7Ly8NTZvcbD9qUp5uYmZkx\ne/ZsFi9ezOLFi5k9ezZXr1416NoWuTQ0MjLi4sWLAFy/fr1F28ZGRERgYWHBihUrOHXqFOfPn2fN\nmsZzmRUKRaMRiaKiImQyw3rzbpfe24ZRH1ZdVc2PqzcRsSuKysoqEq8YVngt0QCYEDaGgvwizpy6\n0GLrs7nz01MzkdjXPYjWlmhy85EpHMjTFAAQPGk0/l076407NSUdubLuYXeUkZpS/xEuKijm5zVb\nidgZTVVVNWkpGcjkDuTXaYwLHYlfVx+D8pBxIxsHhbaxJ1U4kJVaP1dP4mBLUYG27sPnhWBjZ011\nVQ07ftrLoYjjVFVWcT0xVa+GKl2NRKYtE4lcgjpd3Sjcxt6G6qoqSovrp5CZmJogdZKiSjPcQC7I\nzsPaXttwtHawpTC7/iNYoimkorgcgPLicsytLfAK9NWFlxWWYCXR3/umtHUgv0xbJvmlxSht7ev+\nLsLU2JTjKZfJKcrjfEYyuSXa+qiqria3pAAnO8M9VTs7yNCUaI0jTXEhTvb1194crTA2MsLExJjy\nqkpktnbYWFgCYGdlRUFZiV4NV4UCTaE2jeqCAlxuGULdcfgQPTp1QmHvQGVVFWUVFRw6f46ktDTO\nJSVxPcuwD5eboyO5+dqGoiovD1fHprtT1DbwGJzS4INoampKeUWFXg13V2dUGq3RpcrV4OZc77Hd\n1cmR/AKtQVtWXo5D3ZStyspKMrKz8XQzfCMLdzdXVHUdKip1Lm4u9Ya+q4sz+QXa8iwtLcPO1pbS\nsjIiYw5xJTGJU2fOknztumE6rq6o1dr85KjVuLs20HFuoFNejtTBvtEIhoODPbka/Q1AD3c3VHVG\npEqtxr1BObi5uJCffzMvpcikUjw9/p+98w6vqsj//ysFSL25Nb1AGkU6BIjUAAkJEAQBqYp9UbGX\n/a5lxXV3/a246io2RFQQwUpRRAKEFHrvJQ1IL7ek15vc3x833hBuICdCIuC8nifPk3vmnHmfz8yc\ne+czM2c+vhZHRa834OXlaZ1pS7b4+qBrvM7aliad6ppqFHI3S1pbgkh3lC0doWPWaGxjWu0VNaqr\nq1HImwZN2hp029fHG12jLUXa5rZ4e3leolPTXKcN3nGH1YuPd1OZ6XT4el9mS+mlZWZuY5vjtuHq\n6kL/Pr0ty4lvCFtuoTK70bC1sbnmvz+C9evXW/1JfbXBbvHixYtbOyknJ4fU1FSGDx/Ogw8+yKpV\nq1ixYgVz586VFOwCYPDgwYSFhTFo0CCys7NRKpU8+uijlJSUYDQa6dy5MzqdjoKCAgYOHMi5c+c4\nffo0s2fPvmq+H737RYvHo2PHMnr87ZQUl3IhPZP/fvQav/4Uj9pdyZTp0YT2DOTihWwK8ooYEzmc\nKTOi8fHzIvNCNgf2SHsJtC0ajz59H+OiR6JUyZk5bwrbNidKHtm/kk5G2kWmz5lMaI9ADu07TsrZ\ndHKz87ljZgw+vp74Bfjw/Zqfmj2MtjbWPmTm+SwiJoxArVHhF+DDhu828//ef4W4n3cwc/4UBg3r\nR68+3dmdeID0lAvk5RQQOyO6UcObH9dssnrgZV2sl9vkXMzj9rFhKNRyvP092Lo+kb+++TjJW/ai\n1xUzeuLtdAv1x9bOlp1x+xg6ZiDjpozEw8edvMx8Thxovm5X6WStUZRVRJ+RfZApZWh81OzdvJ97\nX7mHIzuOAjBm5mh2/bSHupqmsh8WM5STe05RUdLy8jqNq/VsQkmenq5hoTjJXXDzUHAu8TjjH59C\n+t6zFOfqCRnZG2elC/XGei4cTMV/QBBe3f1Q+qqx79yZ1J0nm+WnUjhaaXi4Kjiak0pJdQWF5cUM\n79abT/f8zMigvvTw8MdYX8/pgosonWT09AjA3s6OnedP0s87GFeHlh0WJ9fOVse8FSr2p53FUFFG\nfrGBcbcN5L+/fM+I7r3ZfuoIucU6zuVloXKRMaBrMH5KDYlnjlFWVUVJZQVRfQZZObwObs3t8dVo\n2HXyBPrSUnJ1RcQMHcY/V35BxICB/Ofr1ZzPyyNbW8SW/fuJGTqMQd27Y29nx+HUFBy6dGZw9x44\nOTg0y7OTS/PPAH5eniQdPIy2uJicgkJiR4/i7+9/yPjwYWgNxfyavIv0rGz8PD3wUKnYunsP5y5c\n5FRaOt7uGgbf1ssqT3un5rb4+/qQsGsvWr2erNx87pgQyd/+/SYTxoyim78f63/dStr5Cwzo05vQ\nIPPyow1btjJ62NBmndhLse1kvWwwwNeXHcm7KNLpycrJZeqkaP66+F9Ej4sgMMCfdZs2k5p+noH9\n+9AzNIRhYYOw72TP/kNHcHR0JHzIIKtlIy0NTAT4XaYzOYYXXv0n0eMj6NbVn3U/byY1PYNB/frS\nPSSI5D37OHzsBOnnL1BdU8OUmKjmtti3YIu/H/EJSRRpdWRmZ3PnlFiee/EVYqIiCezWlR83bCQl\nNZ3BA/vTPTSE4KBurN+4ieycXDQaNeFDh1gXmsm6kxHg58v2xGSKtDqysnOYNmUSz7+8mJjIcQR2\nC+DHjZtISU9n0ID+dA8JpqKikg2bNnP0+Al8fbzx922+HNfG1vr7sl1saYGO0Anw9yM+MYkirZbM\n7JxGjb8TEzXeXF4bfiIlLZ3BA8waFRUVbPh5M0eOH8fX2xt/P98WcrV2AgL8/diekEyRrrFeYifz\n/EuvNup05ceNP5OSls6gAf0adSrZsOmXS+rFWsfmst+y9igvUwsd2QA/X+KTdqLV6cjMzmFa7CRe\neOU1oiPHEdg1gHUbN5GansHA/v3oHhLMh8tXEJ+YjKG4mO/Xb2R8xGg6d27+PWxj13zZ4M3cxjqq\nzOxb+P2/kUjfevCa8wiKDLsOd9I2nnnmGYxGIzk5OVy4cIGtW7eiUCiYPHlyq9famExtG2u4ePEi\np0+fJiAggF69rH98WyMuLo7Vq1djNBqZN28ep06dQi6X89BDD1FTU8Obb76JWq0mMzOThQsXEhBw\n9XXNfQNaf4lS0IS9raT38K8ZH5m0kYtrIUjV/hoAvbzcWz/pGgkNlD6jcC2ovTvmS9jNv/3tcfSQ\nt37SdaCL+vfPkkrFztHaoWwPOmJdrt0VnNnrjane2O4aNnYd833ZIbR1WuF3y3TMaLKNbevv7lwr\nDXXSBv2ulZYGFG5WOqrMHDro9//3svWvH11zHpH/eeQ63Enb2LNnD+Hh4ZbPJpOJd999l6effrrV\nayV9W37yySf85S9/ASAgIICAgAAWLVrEoEGDuO+++9p0s1FRUURFNY1oTZw40fJ/ly5deOWVV9qU\nn0AgEAgEAoFAILg2LnUmwLwxUEpKiqRrJb1DsWvXLqtjS5cuZcuWLZJEBAKBQCAQCASCPwM36y5P\nY8eOZdy4cYwbN46IiAiGDh1KaGiopGuvOkPxt7/9DYCMjAzL/79RXV39u7Z0FQgEAoFAIBAIBDcW\nQ4YM4fHHHwfMTpFSqcTBwfp9xZa4qkPxW7yIzp07W8WOcHZ2lrSmSiAQCAQCgUAg+LPwR237eq3M\nnTu3WX9/+/btdOnShREjRrR67VUdikWLFgEQGBjY7F0HgUAgEAgEAoFAYI2N7c3pUWzcuJG+ffta\nPoeFhVmC3bWGpJeyL3Um9u3bR1lZGX369MHDw+N33K5AIBAIBAKBQHBrcrPNUCxduhSA48ePW/4H\n80vZ+fnS4kBd8aXspUuXMnz4cD799FPLsYcffphHH32UTz75hKlTp5KcnPx7710gEAgEAoFAIBDc\nIFweScLBwYG///3vkq694gzF7t27WblyJUFB5kjLCQkJ7N69mw0bNhAUFER6ejovvfQSI0eOvIZb\nv3Y8Xds/RkBHxW5wtO/S7hreso6Jd+B7hQBe15Nunh0Th6Brt/bXcVF1TBwCZ7V1kL72wMW//Z/L\njtq7vSNiRNh2ULwDG/v21+mI+BDAzTcE+CfBVH/rxKFoKXii4OrY2EnaPFRwg/HbKw6jRo1qtuQJ\noLCwUFIeV/x16dy5s8WZANiwYQMjR460HAsKCqLTLRSMRSAQCAQCgUAguFb+qG1ffy9lZWW4urpS\nU1PDgQMHmqWtXLmS999/v9U8ruhQ1NbWWv4vLi5mx44d/Pvf/252zs1WYAKBQCAQCAQCQXtys3WP\np0+fzueff86zzz5LQEBAs7TMzExJeVzRofD19eWtt95iyJAhrFy5EqVS2SzC9bZt28QMhUAgEAgE\nAoFAcBOzZcsWbGxsePzxx5k5c2aztO+++05SHldc7PbSSy+h0+l48803sbW15aOPPsK+cf3t4sWL\n+fLLL5kzZ8413L5AIBAIBAKBQHBrcbNFyv5N73JnArj2wHZubm688cYbLaYtXrxYUuYCgUAgEAgE\nAsGfiZttydNvHD9+nC+//BKdTkdDQwMmk4nMzExiY2NbvbZjthbBvBXVwoUL6devH7W1tWRlZfHG\nG2/QuXNnyznr1q1j7dq1dOli3u1oxowZTJkypaNuUSC4btQajfzfj5/yWMQdBGm8qa6r5ZcT+8jQ\n5vFc1F3tqv231Z8yeVA4w3v0bled60VxaSmffvMDAM8/dF+76iz7+lsAXlj4YLvpXIl7H32SuTPu\nJGrs6A7Xvp5UVlXxxVdrOHX6DB+8s6R9Nc6c5YO332wXjWY67WiLQCBoG+K5/OP429/+xoIFC/Dz\n88POzg6TycSqVaskXdthDgXAgAEDWLhwIQCPPvoocXFxTJ48udk577zzDt7e3r9bw9bOlgefns/5\nlIsE9ejKsrdW0dBg3vpt4ozxODo5UFpSjqOTAxvX/MqsB6ZSWVFF5y6d6NS5E2s/XSdZ5/6n5nI+\nNZPA7gF89t+vaGgw798bPX0sjk4OlJWU4+DkwM9r49B4qoidO4Gci/k4OTuybuUmyTp3P3EXF1Oz\n6Nrdn5XvrLXo3LEghs5dOqMvNKDxVLH243UseHo2nbt0wsbGhu79gnl90X8p1pa0qnHHw5PJycjD\nN9iHdR9twNSoMf//5lBbXQs2NgTe1pU3//I2A8cOwC/El9yMPHyCvflx6XpJttjY2jJmwXiKLhTg\n3s2THV/EWXRkGjdCh/WksrQSpZeSnWsTCA7rjkegJ4Z8A27ucvZ8l9SqRn1DA3EZe/F0VpJXriM6\nOBxbG/PKvl2Zx9BVFQMQrPSjlyaQqroaDuWdxrWLM/llOiKDhmErYWihvqGBbw7swE+p4aK+kLlh\nY7G1bVpBuO3MIbzkSsvn6rpawrr1IF2bK6mszBr1rEzcSoDGgwuF+SwYMwG7Ro1DGSmUVVVirK/n\n2MUMno01T1PuOHkUhYtMsgZAfX09yzdvopuXF+m5uTw8Kdais/yXn/FSqdCXluIuVzAhbAhllZVs\nPrAPtcyN9LwcHoie1Mz2ljDW1/PBV2sIDvAn9fxFHr9nHnaN2wtWVlUzashgEvc37Syxct1GnBwc\nqKmro66ujnunT5Vki7G+nqVffkVw1wBSMi7w5H13Y2dn3l6yoqqK0cPCSNi733J+flER3/68GX8f\nbyoqq5g3tfVRGKOxnv99/CkhQYGkpKXz9KMPWzTOpaaxNSEJpVyOTObK5AmRAPz061Y0apUkGy7V\nefejTwgNCuRcajrPLFpo0TmbksbWHQkoFXJkMhmx0VF8tuprnJ0cqamto662lgcXzJeoY+TdDz4m\nJDiIcympPPvEY5fopBK3fQdKhQI3mSuxE6MpL68gcuwYTp460wZbLtFITePZxx+9TCMBpVKOm0xG\nbMyEJo3T0jU60pZ33v+Q0JBgzqak8tyTi5o0zqUQtz3erOEmI3ZiDHn5+Xz9zfcE+PtRUVHBgvlz\nbxgdo9HIO0s/IjQ4yFojJYW4bTtQKhXmepkYbdb49nsC/P3NGvOkLXs2Go28++EnhDbW/zOLHmlW\nL1vjE1AqFMhkrsTGTOCzlatxdnaipqaWurpaHlxw9w1RXmad9n8ub6U29ptOez+XguuDn58fd93V\nfNDz0h1fr0aHbRhsY2NjcSaMRiMFBQV069bN6rxVq1axYsUKPvjgA0pKrt4Rbonh44agK9SzdWMi\nuiIDt48Ns6TFzBjHxjW/snVDAuMmj0QmdyV+005+WruFH778mVFR4ZJ1bh8bhq5Qz/aNSeiLDIRf\nohM9fSw/rY1j28Ykxk4egUzuysz7p5C4eTdbfoinz+CeuCmldfqGRgxCX2gg4eddGIqKGTJmkCUt\n7eR51B5KPH3dGRE9FIBNa+L49P+t4vP/ruHIrhOtOhMAfUf0oVhbwv4tByjRltB3RB9L2qYVm/n2\n3R/Y/OUWDsUfoaG+gaxzWbgqXHBTyRgSORj7TtL2Aw8d1oNyXRkndxyjXF9GyNAelrQx90RSW1VD\npy6dyEszd7p7j+3H6eSTnE48jntXD9y7ebaqcUZ7HllnZwZ49UDWxYkzRectaXa2tvjKPHB3VuLp\nYu7cJWceocFkor6hAQ8XpSRnAuDgxXMonF0ZGdIXhZMLhzJTLGmFpQa6dOqE3NHFckzu5IJjp84t\nZXVF9qaeQeniytjeA1C4uLI/tenLdVBgKIEe3lzUFtAvIBCAiuoqtGUlBGjaFgNi16mTqGRuRA0K\nQyWTsfvUSUvalPDhTBoazszREWw5aO6If5sYT0NDA3VGI908vVp1JgAS9x1Ao1Qwacwo1Eo5iQcO\nWtK8PdzpdFl8hKgRtzMjJop5UyYRv2efZFsS9u5Ho1IyeewYNEoFifuanBQfDw8rnZU/bCBq1Aim\nRo3n8MlT6Itbf152JO/EXaNmSkwUGrWKHcm7LWlLP/2ce2bPZO7MO/l2/U+YTCbKysopKCwkOND6\n++5qxCclm3UmRpt1knY26SxbzoI5s5h31wy+/XEDJpOJiZHjmD19Ggvm3EXcjkTpOolmnTsmxaBR\nq4lPbApY+v5Hy7h33hzmz57JNz+sx2Qy4a5R4+zk1DZbEpNx12ha1vj4U+6dN5v5s65No6Ns2Z6Q\nhLu7hjsmT8RdoyY+sWmg472PPmHB/LnMnzOLtd//iMlk4rMvvyJmQiQzpt3BwcNH0en1N4zO9oQk\nc720qLGMBfPnMH/2XU0aK1cTExXJjKlTOHj4CDq9QZItV23LnyxnwdzZzJs1g29/NNfLxKjx5rY8\ndxZx8Qk3THm1ast1ei5vpTYGHfNc3nDY2Fz73x9Ajx49WLp0Kbt27eLAgQMcOHCA1157TdK1HR6B\nZOfOnSxcuJCIiAhuu+22ZmlDhgzh4Ycf5v7776d37948+eSTbc7fy9cDvdY8Cq0vMuDl52FJe+fV\nj4mZMZ5RE8IxGutRqNwoytcCMDJyGN98Jm2kHcDT1x2D7jedYjx9mzpx/1u8jOjpYxkZNQyjsR65\nys18fmPnvkRfgruXWpKOh48Gg858nUFbjIevxpI29d6JrF76PauXfs/K/5mXcmjzzQ/4uKmj2L6+\n9RF9ALW3ilJ9WeO9laL2ahpJNRSabRw5ZTg7N+4CYPT0UST+kEzc6m189Z81GOvqJenIPRSUF5cD\nUG4oR+7RFGRPE+COLlvLsbhDDJo8FEeZE/GfxxE4MJjut/fC1t4OF6Vrqxr6qlJcupgDkbl0dsZQ\nXWpJ6+/ZnYFePRjk1ZPvT28HoKBch1sXFwZ69SDDkENemVaSLUVlxbg5moPEyR1dKCwrtqRtP3eE\nMaH9MWG60uWSKCg2oHA226xwdiW/pPmPt7/anfsiook7fhBjfT0/H9rLpIFDaatsnl6H0tWso3SV\nkafXWdLcFeY6+vXAPu6PngjA+fx8NHI5E8KGcDQtjfTcnFY1cgoKUcnNAQJVCgW5BQVXPd9TY34+\n4vfs4+5p0pc95uQXWHTUSgU5+VfXySloOl/h5kZ+UVGrGtm5eaiV5tkntUpJTl6eJS2/oBBZY1k6\nOTpiKCnh6+/XMXv61DbXSzMdtYrs3CadvIJCZDKzjqOjA4biErw8zd91W3ckcv986RtmZOfkolKZ\nn3mNWkV2TtMsmrVOcYt5SNMw26JRXW5LQZOGg9mW30vH2JKDulFDrbpMI78AN5l5sMjJ0Qm9wUB2\nTi7qRtuVSgV5efk3jM6l16jV6itrODmiNxQ311AoyMuXaktek45KRXbupfVySf07OjZvy/EJ3H/3\nPIkaHVQvHfBc3kptzKzT/s/ljcbN9lL2b3z99dfs27ePjz/+mPfee4/33nuP48ePS7pWskORm5vL\nsmXL+N///kdVVRUJCQm/62ZHjBjB8uXLycrKYs2aNc3SfHx8UDR2YMLDwzlw4IBVGPDWyMsqQKk2\ndxCUGgV5WU0dioqySjau+ZWkLXuor68nL9sc/W9MzHDKyyo4ffSc5ErMyy5AofpNR05+dlMkwYry\nSn5eG0dy3F7qjfXkZxeQm1mAQm2OHu2mdKMwT1rHNT+7EIXKfJ1CLacgu6nDI5O7UFFWCcCU+dE4\nuZg9ent7OzReqma2Xw1trg5ZY2fdTSlDm6drlu7i5ozRaKSqvBoAV7kLFaUVAAyMGIBPkLQlasX5\nBlzk5lF7F4ULxQVNHeQyfRk1Feb8ayqq6eLkgKm+gUOb9nNu92kajPVoM1uP1qh0lFFeUwVAeW0F\nCoemmSBdlbmj0snOnpr6OgBkXZxxaIxQ7tTJgcq6akm2uLsqKKkyl0FxVTnurua2UFxZTidbO3an\nn6Sg1MDRrDR05U1OTVs6lZ5yJYYKs6NnqCjD063JAdvXOFtha2OLna0dFTXVVNfVsjf1DOcL8zmZ\ndYEsXeudYwAvpQp9mVlHX1aKl7L50pyf9+7htq7dULmZ26FK5oaLg9lpkzk7U1JR0aqGr6cHusYf\nCp3BgLeHh9U5lz/rcTt34+LsRN/uoZZli23R0eoN+HheXcfXy9M3zOAnAAAgAElEQVRyvqGkBE+N\nxup8Kw0fb7SNI3NanR4fLy9LmreXJyWl5vquqqrG1cWFqupq4pN2cS4tnUNHj5Fx4aIkW/wu1dHq\n8PVuWae6ugZFY2T6zVu34+riQv8+vaWXmY83Op35mS/S6vD1aXqevb08KSm5VKcpanxbHGZfXx90\nOrMtRbrLbPH0atKoqbbYAtDGr/8OscXP1wdto4ZW11zDx6vJlqqqKpQKBf5+vmgbbdfrDXh5tT7T\n2lE6Zo3f2pj2KhrVKBVy/C85X28w4OUp0RYf7yYdnQ5f78vqxdKWm+p/c9w2XF2lt+UOq5cOeC5v\npTYGHfNc3mjcpBMU3H333axatarZ39NPPy3pWrvFErZs2rZtGw8//DC2trYcPXqU2bNns3z5cjIy\nMhg0aFBrlwOQnp7OiRMn6Nq1KwBnz55Fp9PRu3dvjEYjnTt35u2332bIkCHY2tqSlpbGrl27uPvu\nq6+dXPVh8/1xsy/mMnz8EFRqBd7+XmxZF89Lbz1Nwq+7iZ0VRd/BvQi9LYiDO49yIS2Lux+7ixHj\nhiJXypg0M4qdW/dSV2dsludva/AvJediHrePC0OpUeDt58GWdQn8bckTJP26h0l3RdJncC9Cbgvk\n0K5jXEzL5mJaFlHTIvDw0aAvMnB030mrPDvZWr/SkpuZz9CIQSjUcrz83Nm+IYln/9+j7IrbR7Gu\nhJHR4QSE+mFnZ8vureYlKeOmjuJA4lFKi8us8nNtHL2/lMLsIvqN7ItMJUPjo2bvL/u479UFHI4/\nAkDEXWPYuXE3dTXmTri+QM+w6CGovJRovNXs+nmP5V2I35C1sM2YPldH6LCeuChcUHipOL7tCFOe\nn8nZnSfR5+joPaYfLioZ9XVGUvedJXhId/pE9MfNQ4EhV0/myQvN8lO4WGuoHOWc0Z6nrKYCfVUp\nA7178s2pOPp6hLAv+wSG6lJSdZkEK/3wclXj7qzgaME5KuuqqaitIsy7l5VTKVdY63i6KTl48RzF\nleUUlBoYHdqPpTvWE9G9P728u1JXb+Rk7nlULm7c5tMVY0M9yaknSC3MRuMqx0OmaJZfZyfrmC7e\nShX7Us+grygj36BnfN+BvPXTt4zs2YftJw6Tq9dxNjcLlauMQYGh9O8ajL2tHcczM3Do1JkB3YJw\n7NzlMh3rZVe+ag27T51AV1ZKrlZLdNhQ/rV6JRH9B/DmN2u4UJBHjraILQcPEDUojAAPD7YdPkhp\nRSXFZWVMGhZuVWZdLptN8vP2InHfQbTFxWTnFzBl7Bhefvs9IkfcjtZg4JfEZNIzs/Dz9MRDreLT\nb74ncf8BikvLWL91O2OHDaHzZXFvbOysl9r5+3iTuHc/WoOB7Lx8pkSO5cUl7xA1cjhavYFNOxJJ\nu5iJv5cXHho1Qf5+bNy2g9yCQtQqJUP797XK086xef0H+PqyI3kXRTo9WTm5TJ0UzV8X/4vocREE\nBvizbtNmUtPPM7B/H3qGhjAsbBD2nezZf+gIjo6OhA8ZZDWdb9PCsrEAPz/ik3ai1erIzMlhWuxE\nXvj7P4geP5bAgADW/bSJ1PQMBvbvS/eQYD5c/jnxSTsxFBfz/YafGB8xutmmF1fU8fdje0IyRTod\nWdk5TIudzPMvvUpM1HgCu3Xlx40/k5KWzqAB/egeGkJFRSUbNv3C0eMn8PXxxt/X1ypPa1t82Z6Y\nTJG2UWPKJJ5/eTExkeMI7BbAjxs3kZKezqAB/ekeEtyosfkSDR/rTFv4xb3etti08N0f4O9HfEIS\nRVodmdnZ3DklludefIWYqEizxoaNpKSmM3hgf7qHhhAc1I31GzeRnZOLRqMmfOiQVsuro3QC/P2I\nT0yiSKslMzunUePvjeUVwI8bfiIlLZ3BAy7TyM1Do9YQPjTMKk9TCx3mAD9fc1vW6cjMzmFa7CRe\neOU1oiPHEdg1gHUbf2vL/Rrb8griE5PNbXn9xpbb8mXPf3uUl6neeva9XZ5Lu+a//Td1G2thFKA9\nvmPsHZwl2fhHkZV05Jrz8B898DrcSdsoLi4mODi42bEePXpc4ezm2JgkTAHMmTOH9957D41GY/Fe\nAObPn89XX30lSSgrK4slS5bQq1cv6urqyMjI4OWXX2bFihXI5XIeeughVq5cSVpaGj4+PqSkpLBg\nwQL69rX+gb+UqN7We+Zeb+xb6Oi3B472XVo/6Rrxvqwj2174XjLK2F5085S3ftJ1oGu39tdxUVk7\neu2Bs7pjvoRlQV6tn3SN2HZQYM1Oivavf1u7jvmOsbHvAJ22Tiv8XjpgCM/GVtr7YTcFHVQvDUZj\n6yddBzri+W+orWl3DQDbzu3/299RmBqkLYG+VrrI2/auYEez+18rrjmP21+6/zrcSduYOHEi/fr1\na3asU6dO9OzZk7vuusvyMn1LSPp1sbOzQyNhKcDV8PPz47333rM6/vzzz1v+v+eee65JQyAQCAQC\ngUAgELSdnj17YjQaGTx4MACHDh2iU6dOZGVl8c9//pNXX331itdKeodCoVCwdOlS8hpfPiwuLuaL\nL75AqVS2cqVAIBAIBAKBQPDn4WZ9h8LNzY0lS5Ywa9YsZs2axZtvmuMAvfDCC63u6CjJoXjttdc4\nfPgwERERHDhwgPDwcJKTk0XEbIFAIBAIBAKB4Bbg4kXrTUNycsw7OV7+7s/lSFrypFQqWbFiBQUF\nBRQUFODp6Ym7+429fk0gEAgEAoFAIOho/qhtX6+VXr16MW3aNMuGSwcPHmTUqFEcPnyYjIyMq14r\nyaHIzs7m4MGDhIWF0bdvX3JycoiPj2fs2LHXfvcCgUAgEAgEAsEtwk3qT/Dss88ycOBA9u0zB5R9\n6qmnGDNmDLW1tbz77rtXvVaSQ/HWW2+hVqsZPnw4AM7OzuzYsYPjx4/z1FNPXePtCwQCgUAgEAgE\ntwY36wwFQEREBBEREZbPSUlJjBo1qtXrJDkUOp2umWcil8t5/fXXmTdPWgRLgUAgEAgEAoFAcONS\nVVXF6tWruXDhAvWNcViOHz8uyaGQ9FJ2XV2d1bGGhgaLmEAgEAgEAoFAIOgY9uzZw2uvvcbSpUtZ\nunTpFc/buHEjPXr0oKqqqtU8//GPf2BjY0NeXh5DhgzB19cXPz8/SfcjaYYiLCyMBx54gClTpqBU\nKtHr9WzcuJEhQ6RFY2xPRnaVFsHvWrBrZaus64VDp/YPOuXvIWt3DQBHh/a3xcPHpd01ABTe7V9m\nju6urZ90HbB3uPouDdcLO4f2D9Rk59gxwQDtHds/GGBDC4M27aLTAYG67BycWj/pOtBRAbQ6go6w\npaOC9JnqO6Yt0wGB7Ww7dcz3peDWo71XPFVXV/Pqq6/yyy+/YG9vzxNPPMHevXsZNmxYs/PS09NJ\nT0+XvARLqVTywAMPkJ+fz7Rp0wBYsmSJpGsl9ZSfeuopwsLC+PDDD1m0aBEffvghQ4YM4YknnpAk\nIhAIBAKBQCAQ/BmwsbG55r+rceTIEXx8fLC3Nw/eDhw4kMTExGbnVFdX89lnn/H4449jMpkk3XdF\nRQUA5eXl6PV6amtrOXHihKRrJUfKXrhwIQsXLmx2vLS0FJmsY0a8BQKBQCAQCASCPzt6vR5n56bZ\nc2dnZ3Q6XbNz3nnnHR577DGL0yEFFxcXNm/eTHR0NGPHjsXGxoa77rpL0rWSVRoaGtDpdNTV1WFj\nY4PJZOKZZ55h7dq1km9UIBAIBAKBQCC4pbkOK+Xff/99Hn/88RbTlEol5eXlls8VFRWoVCrL5/z8\nfEpLS/nll18ssxOff/45o0eP5rbbbrui5nPPPWf5/9dff6WsrIyQkBBJ9yvJofj6669ZsmSJ1Qsd\nN/O2WAKBQCAQCAQCwfXmevSPr+RMAAwYMIC8vDzq6uro1KkThw8fZu7cuZSUlGBnZ4enpydvvPGG\n5fy3336b++67D8crvHu4evVqq51bPT098fT05LvvvmPmzJmt3q8kh+KLL77gyy+/pEePHs1Cb1/N\n2MsxmUwsXLiQfv36UVtbS1ZWFm+88Uaz/Gpra/nPf/6Dh4cHFy9e5KGHHqJr166SNX4Pnbp0Inz6\nCLxDfFj72lftqiVoGzXGOnZkHCKruJCHhky5LnnWGo288N0yHh83lSB37+uS541CVU0N32zdxtmL\nF/l/jz16XfIsLitjxfqNADxzt9gmWnBrUVlVxRdfreHU6TN88I60Fw9vVG4lWwR/bkRbbh0HBwcW\nL17M66+/jkqlonv37gwbNowlS5Ygl8t56KGHAPPSqG+++QYbGxuWL1/OrFmzcHd3t8rvyy+/5PDh\nwy1qnTp16vo5FCEhIfTt29fq+P/93/9JudzCgAEDLO9hPProo8TFxTF58mRL+hdffIG3tzcPPPAA\nKSkpvPTSS6xevbpNGja2toy7L4rC8/l4BHqxbcWvmBrM0z1TnppGXU0d2Njg19Of5U99RBdnB87s\nOoV3qG+bdcbeG0nhhXw8unmx/fMtFp3JT06lrsa8NMynhx+fP/MJLgpXBk8eij5XR2enLuxfv1ui\njg0j7x6H9mIhmq4eJK3cZtFx1bgRMrQHVaWVyL2U7PkmkVELxmPfuRM2NuDd3Y8fX/+aiuLyq2rU\nNzSwJX0Pni4q8sq0xITcjq2Neb5uZ+ZRdJUlAAQr/bjNPZDDeWfJKikAwNtVQ5hPL0m21Dc08PPZ\nXXjL1OSUFjGl5wiLTkLGYbQVZp1QjT99PYOoMdbSzyuEzOICSfn/prFmXzz+KncuaguYN2wctpfs\n0rX19CG85U3TgtryEuJOHsTTTUlVXS2T+g6VplNfz4ptm+nm4UVGfi4PRE2y7Aa2YutmvBRK9OVl\naNzkRA0YzN6zp0nPz8VLoaKgWM+c0eMkaXyyfj2BPj6kZ2ez8M47LRqfrFuPt0aNvqQEd6WSmPBw\nKqqqGD1wAGcvXpBcXgDG+no+/u4Hgvx8Sc3M4rFZMy06ldXVjBw4gKTDRyznL137LTV1dZhMJk6m\npfPWM0+ilstb1Xj/81WEdAsgJeMCT95/D3Z25l1nzmWcZ/vO3Sjc3HBzdWHi2DEk7jtASvp5fLw8\nyCso4oHZMyTb8t6yFYQEduNcegZP/+WBJp20dLYm7kQpd0Mmc2Vy5DhKy8pY98sW3NUqzqVl8MRD\n9zVrLy1qGI288/6HhIYEczYlleeeXGTROHsuhbjt8SgVCtzcZMROjCEvP5+vv/meAH8/KioqWDB/\nrjRbjEbe/fATQoODOJeaxjOLHmnSSUlla3wCSoUCmcyV2JgJfLZyNc7OTtTU1FJXV8uDC+6WqFPP\n/z7+lJCgQLPOY39p0klNY+uOJJQKOW6urkyOjuToiVNcyMzC1taW7YnJ/Pefi7G3v/oOQh1aZh98\nTEhwEOdSUnn2icealVnc9h1mHZkrsROjKS+vIHLsGE6eOiMpf2HL77Xl1mpj7yz9iNDgIGudlBTi\ntu1AqVTgJpMROzHarPPt9wT4+5t15s2RptFRttwibfnPSHh4OOHh4c2OPf/8880+K5VKHnnkER55\n5JGr5qVQKDh+/DiTJ0+21M1vZGZmSrofSau8+vfvzz/+8Q927NjBgQMHLH+LFi2SJALm6Z/fnAmj\n0UhBQQHdunVrdk5iYiL9+/cHIDQ0lHPnzlneOJdKj/CelOlKOR5/lHJ9Kd2H9bSkJayOZ/NHP5P0\n9Q5OJh6nob6Bcn0ZtZVt30qxe3gPynSlnIg/Rpm+jNChTdvXJq3ewZaPN5G8JoHTSSdoqG8gfPoI\nTiWd4GjcIfxvC8DJTdpWlMFDe1CuL+N0wnEqDOUED+luSRs5fxy1VTXYd+lEflouAEc27Sf+080k\nfB7H+SNprToTAKeLMpB1cWagVw9kXZw5XXTekmZnY4efzAN3ZyWeLuaOuA3gI9Pg6aLC21UjyQ6A\nEwXpuDk4E+bbE1kXZ07kZzTp2NrhL/fAw1WJt6tZR+bgTBe7tm0NePDCOZTOrowK7YvC2ZWDF1Is\naYWlBrrYd0J+yTagPx3dQ3jwbYztOYCzuZmUVElrb7vPnkLl6sb4/oNQusrYc/aUJW1yWDgxg4cy\n/fZRbD1yEIBtxw4xunc/xvYbwPmCfNLzclrVSD52DLVcTvSwYajc3Nh57JglberoUcSOGMGsyEg2\n794DgFoux7FL27drTT58BLVCTszw21HL5SRf4jx4azRWP+QzI8fx7N3zeHzOLIb16d2qMwGQsGcf\n7iolk8dFoFEqSNy735L20cqvmX/nHcy5YzLfb9pCQ0MDm7bvIGr0CCZGjCb1/AXOpWdcJfcmduzc\njbtaReyE8WhUShJ27bGkfbBiJffcdSdzp0/luw2bMJlMfLH2exoaGqitqyM4sGurzgTA9oQk3N01\n3DF5Iu4aNfGJSZa09z76hAXz5zJ/zizWfv8jJpOJz778ipgJkcyYdgcHDx9Fp9dLsiU+KRl3jZop\nE6PRqFXsSNppSVv6yXIWzJ3NvFkz+PbH9ZhMJiZGjWf29GksmDuLuPgESRoA8ck7cVermRITZdZJ\n3tWks2wFC+bMZN7MO/l2/UZMJhP9+9zG0MEDuJiVTe9ePVrt6HVomSWay+yOSTFo1GriE5Mtae9/\ntIx7581h/uyZfPODuczcNWqcndq2za2w5XfYcgu1se0JSbhrrqSzjAXz5zB/9l1NOitXExMVyYyp\nUzh4+Ag6veHGsuUWacs3GjY21/7XkXzzzTcsXryY3NxcvLy8eOSRR1i0aBGLFi3isccek5SHJIfi\n/fffJyEhgddff52//vWvlr+MDGk/8peyc+dOFi5cSEREhNWLITqdzuqtdb3EBvsbCk8lFQZzJ7pc\nX47CU2FJKy0yj4APnjiEQ5sPtPneL0XuoaT8Nx1DGXJPZZOO1qwzMCaMw7+aO5RyT4Wlc19ZUoGb\nxk2ijoJKg7mTW2Eox82jyR51gDv6bC0nth5mwMQwHGVOlGlLAeg9bgAntx+VpGGoKsW1s/nhde3s\nhKGq1JI2wKs7A717MNi7J9+f3gZAL00Qg717MdS3NxvPJVLf0CBJR1dZgmsXc/3KujhbZj4Awnx6\nMMSvF0P9buPro3GS8muJwtJi3JzM8SnkTi4UlhVb0radPkJEj/5cunlaYVmxxcGQOTqhLStBCvkG\nPQoXc+wIpYuMfENTO3Vv7GDHHTnAgnETAHgoahIH086RfOo4xvp6dGVlrWrkabUoG3dRU8ncyNNq\nLWkeSnN7+2XXbh6849qWg+UWFaFyM7dHldyN3CLtVc/3aHzxa1PSTiaNGiFJIye/AJXC3HZVSgU5\n+U2zTvlFWmQu5jpzcOhCSVkZTz1wL7sPHmbbzt0Y640USfgRBsjJzUelNOuolUqy8/KbdAoLkbma\n68zJ0YHiklLSzl/AQ6PhjugoDhw5xrm09FY1snNyUDeWgVqlIjsn15KWl1+AW2OdOTk6oTcYyM7J\nRa0y15dSqSDvknu6uk6e5Tq1SkV27iU6BQXIZGZbHB0dMRSX4OXpAcDW+ATub8PytJzcPFQqc5lp\nVCqyc/MsaZeWmaODA4Zi8/Ph5eHB4w/fz+Gjx9HqWv+O7rgyy7W8mKhRX6ZTUHhJmTlgKC5uMQ9h\ny/W35VZrY5bnUq2+so6TI3pDcXMdhYK8/NZ1Os6WW6ct32i097ax7cHw4cP5z3/+g7e3Ny+99BLf\nffcdRqORMWPGSLpekkMxevRo4uPjrf6io6PbfMMjRoxg+fLlZGVlsWbNmmZparW62YxEeXk5SqXy\n8iyuiiFfj7PC3DlxUbpgyG/eEXGSOVFvrKemorrZ8bZWXXG+HpffdBSuFOc3/8K7XMeQp8dZbj7f\nyc2ZkiJpHdfifANOCnOH11nhQklBkz3lulJqGmdXaitr6OJkHp22tbdFpnGjOE+aM6Z0dKOsthKA\nstpKFI5NWwHrKs0Pdyc7e2qM5oBF2sqme7CzscPYYJSko3Zyo6zGXL+lNRWonJqcqqJG56KznT3V\n1xAYyV0mp6TS7LgVV5bj7mru3Bsqy+lkZ8eutJMUlOo5kpmGtrwET5mC4sZZidKqStSu0hw9L4UK\nQ7nZKdCXl+KpaN5Ofzm4j15+XVHLzPnZ2doxZcjtjLytL/Z2dgS4e7Sq4a1Woy81O3e60hK81Opm\n6RuTk+kdFIjmshkCidtNN+m4u6MrMZe/rrgEb43a6pzL97CuMxrJ1+nw82jdDgBfT090BnO70ekN\n+Hg2XeflrqGk0cGqrqlFLpNhZ2fHrNiJjB9xO53s7QkKkBap09fbyzICqNXr8fXybNLx8KCk1KxT\nVV2D3E2GRq3C1cX8fMnd3CguKbXO9DL8fH3QNm7Pp9Xp8PVpehfHx8uLksY8qqqqUCoU+Pv5WjpE\ner0Br0vu6ao6Pt6W67Q6Hb7eTTreXp6UNLaN6upqFHJzO9sctw1XVxf69+lNg0RH39fbG53OXGZF\nOh2+3l5NOp5NOlU1NSjkbs1Gl+VyN/SG1jsAHVVmvj7elq0Ti7TNdby9PC061dU1KC55bkxIf2iE\nLb/DlluojZl1Gp9LrfYqOtUoFXL8LzlfbzDg5dm6Tsfacmu05RuNm22G4lLCw8N59tlnWb9+PQ88\n8IDk6+wWL168uLWTJk6c2OLxyMhIyULp6emcOHHC8pL12bNn0el09O7dG6PRSOfOndHpdBQUFDBw\n4EDOnTvH6dOnmT179lXzTfp6R7PPuhwdPcJ74qJwRemt4mjcYab/dRanks2BOYZOvZ1Dm/djrDV3\ngjs7dqbf+IH49QrAUGDA0EIn3LaFmtXl6Oge3hMXpQsKLyXHth1h6gszOZN8EoAhd4Rz5NcDFp2i\ni4X0ixyA3ENBub6MC8esZ3fs7az9O0OujpChPXBWuCD3UnJy+1EmPTudc7tOYcjV0WtMX1wUrtTX\n1ZO2/xwAvcf1J/1AClWllVb5ublYL4lROck5U5RBWW0l+spSBnn3ZO2JOPp6hrA36wT6qlJS9ZmE\nKP3xclVzPD+VnLIisksLUDrKCFJav3/Syd7aFo2zgpP56ZTWVKKrLGaoXy9WHvmVAd6h7LxwDH1l\nCWeLLtJd7Y+Pm4ZqYy0Hss9w3pCLyskNtXPzjrOLzDqKqZebioMXUiiuLKeg1MDoHv14f9t6xvbs\nz20+XamrN3Ii+zwqFxm9fbrRVeNJ4tnjFJUVo3B2oY9vN6s8HV2ty8xHpWbP2VPoy8vI1euYMCCM\nN777mtF9+vHfdd9ysTCfHL2WuCMHGd9/EHvPnWHbscPkG/T4qNT0DwxuXl7O1hp+7u7sPHoMXWkJ\nOUVaJt4ezj8+W8HYwYN548uVnM/NJaewkM179jJh2DAqq6v5de8+Tqan46VW46OxXo5m28LSAT8P\nD5IPH0VXUkJOYSGTR47g1Y+XMX7oELTFxWzZvZeM7Gx8PdwtMyObknYyvH8/FLKWI3zbOzffScLf\nx5uEPfvRGgxk5+YzJWocL/7nv0SNGkE3f182xG0j9UImA3v3JDSwG0n7DrBpewK5BYX4eXsT1q+P\ntS0tRMr19/Nhx849aHV6snJyuSNmAv/3+htMGDuawAA/1v2yhdTzFxjYtzfdgwIJDPDn57jtlJSW\noTcYmB470WpkyK6LQ7PPAf5+xCckUaTVkZmdzZ1TYnnuxVeIiYoksFtXftywkZTUdAYP7E/30BCC\ng7qxfuMmsnNy0WjUhA8dYnXfphY6/wF+vsQn7USr05GZncO02Em88MprREeOI7BrAOs2biI1PYOB\n/fvRPSSYD5evID4xGUNxMd+v38j4iNHNNr1oFGpRZ0fyLooay2zq5BheePWfRI+PoFtXf9b9vJnU\n9AwG9etL95Agkvfs4/CxE6Sfv0B1TQ1TYqKa14u9db20R5m15DkH+PuxPSGZIp2OrOwcpsVO5vmX\nXiUmarxZZ+PPpKSlM2hAP7qHhlBRUcmGTb9w9PgJfH288fdt/l1mY2P9PSZsaaUtG60HhK53GwPr\ndtYu9dICAf5+xCcmUaTVkpmd06jz98Z6CeDHDT+RkpbO4AGX6eTmoVFrCB8aZp3pZd85HWrLTdiW\nAewdpC0b/6PI33f8mvPwHNbvOtxJ2ygsLOSdd97hxRdfpE+fPjz33HOSB/ZtTBLC5xmNRj799FM2\nbNiAvb09q1at4tVXX+W1115DoVC0djkAWVlZLFmyhF69elFXV0dGRgYvv/wyK1assLyRXlNTw5tv\nvolarSYzM5OFCxcSEBBw1Xxfn/yKJP1rwU7CuurrgUMn6cFHfi/+Hh0TiNDRof1t8fBxaXcNAIV3\n+5eZo3vLHfPrjb2DtRPWHji4t21m8fdgd4Xt7643nWStvyNyrTTU/f5ZubZguobZP6nYOXTM2mdT\nQ327a9jYtr52/3pwK9lSX209kNUedEg7a+t07+/lFtqCvyPaMkAXufVORTcSR9+79l1D+z8x/zrc\niTQKCgpYtmwZP/74I5GRkSxcuJDAwEAALly4IGnHVUkOxT//+U+0Wi2TJ09m+fLlrF27lr179/LV\nV1+xdOnSazbkWhAORdsQDkXbEQ5F2xEORdsQDkXbuZU64beSLcKh+B0Ih6LNCIfi+tKnTx+8vLx4\n8MEH6dq1q2Wm3mQysWrVKt5///1W85DU6zt79ixffWUunJUrVwIwbNgwPv7449977wKBQCAQCAQC\nwS2Hje3N5SQOGDCAadOmAZCT03wXyksjcl8NSQ5FXV0dtbW1VkHoKis7ZiRCIBAIBAKBQCAQXH8e\neeQRq5gWv3F5iIcrIcmhiIyMZNq0aUycOJGioiJWrFjBr7/+esWXtQUCgUAgEAgEgj8jN9sqtis5\nE4AlPlxrSHIoHnzwQTw8PFi3bh02Njbs2rWLe+65p1mUa4FAIBAIBAKB4M/OHxFH4o9GkkOxdOlS\nPD09WbFiRXvfj0AgEAgEAoFAcNPyJ/QnpAW2++GHHxg8eHB734tAIBAIBAKBQCC4yZDkUPTu3bvF\neBBffPHF9b4fgUAgEAgEAoFAcBMhaclTcHAwDz74IGPGjEOOT6YAACAASURBVMHVtWm//G+//ZZ7\n7723ve5NEn0D238vYmcn68iv7YGtXfvPkSk0HbNHfBeX9o934ODm0PpJ1wEXb2nBG68Fuw6KD2Hv\n3DH1b3t5hOb24BaaU+6wLQZN7R+LoKNiatxs2zL+0XRUfICOikMiuDEx1Tf80bdwY3AL/T5JRZJD\n8dVXX9GjRw/i4uKaHddqte1yUwKBQCAQCAQCwc3In3HAQ5JDMXnyZF599VWr40uWLLnuNyQQCAQC\ngUAgEAhuHiS9Q3GpM1FcXGz5//nnn7/+dyQQCAQCgUAgENyk2Nhc+9/NhiSHoqKigpdffpl+/fox\nY8YMDAYDs2fPJjMzs73vTyAQCAQCgUAguHn4E3oUkmco3NzcWLNmDe7u7igUCv7973/z+uuvSxbK\nysri2WefZcWKFfzrX//igw8+sDpn3bp1zJo1i3vuuYd77rmHjRs3SrfkGvlg3/ccy0+9bvnV1Rv5\n+5bPuKDPv255Xknn5c2fcUGf1646AukUl5Xx9qrVvL1qdftplJbx1ucreevzle2mYdYp5c2Pl/Pm\nx8stx6qqq1m25lue/se/21Vb0DYqq6r48NMVPPbMC3/0rQj+ACz1/3T7rRzoCI1bjcqqKj5c9hmP\nPv3cH30rAkG7IukdioKCAt566y3zBfbmSwIDA6lrw24excXFTJo0ibFjxwIwadIkIiIi6NWrV7Pz\n3nnnHby9vSXnezn1DQ38krIbL1cVuWVaJncfjq2N2W9KunAEbWUJAKEqP3p7BAFwKOcssi7ObdZZ\nfyoZH5ma7JIi7uwzyqIDkJhxDA9XpeXz8bx0sooL0TjL0VWWEtNjqGSddSeS8XFTk11cxPR+l+mk\nH8XTtWkXon0XT5NVXIh34/l39Y+QpPH13u34K925oCvg7vDx2NqaNY5cTKOsuhJjQz0ns8/zROSd\nJKec4HxRPv4qDRe1hSwYESXRlnpWJm4lQOPBhcJ8FoyZgF2jzqGMFMqqKjHW13PsYgbPxs7kbE4m\nOXotNjY27E05zV+nzsbO9uq71NTX17Mi7he6eniRkZ/Lg9GTLRqfbfkFL6USQ1kZGjc5UYPC+HTz\nT9TUGTFh4kzmRf654AGUrrJWbTHW1/Pxdz8Q5OdLamYWj82aadGprK5m5MABJB0+Yjl/6dpvqamr\nw2QycTItnbeeeRK1XN6qxodrviXY34/UixdZNG9OM41RgweSeOCQ5fxfknZyKjUNgO6BXZkSMaZV\nO37TWfrlVwR3DSAl4wJP3nc3dnbmcq6oqmL0sDAS9u63nF9RWcW424dxulFLqsZ7y78gpFtXUtIz\neOrh+y0a59Iz2Ja0E4VcjpurC5PGj+XtTz6jpqYGE3D89Bne/9draFTKq2pYdJatICSwK+fSMnh6\n4YNNOmnpbE1MRimXI3N1ZXLUOH7aspUTp88C0DM0hGmTolvXMBp55/0PCQ0J5mxKKs89uciicfZc\nCnHb41EqFLi5yYidGENefj5ff/M9Af5+VFRUsGD+XGllZjTy7gcfExIcxLnUNJ59/NEmnZRU4rYn\noFTKcZPJiI2ZQHl5BZFjx3Dy9BlJ+Tfp1PPuR58QGhTIudR0nlm08BKdNLbuSECpkCOTyYiNjuLo\niZNcyMzC1saGbQnJvP3vf2Bvf/Xn0mg08u6HnxDaaMszix5pZsvW+ASUCgUymSuxMRP4bOVqnJ2d\nqKmppa6ulgcX3N0uZfbZyq9wdjLr1NbV8dC9rev8IfWfksqzTzx2mS07zDoyV2InRjfV/ynp9d8R\nGh1VZh1ZL+8s/YjQ4CBrnZQU4rbtQKlUmNvYxGjKy8uJHBfBidOnb6jy6midjnj+BX8skmYoamtr\nm707AVBaWkpVVZVkoT59+licCQCTyYSjo6PVeatWrWLFihV88MEHlJSUSM7/N04VZuDm4Mxgn57I\nujhzqiDDkmZnY4e/mwcezkq8XNUAVNXVUFxdjqeLqk06x/LSkDu4MCzgNtwcXDiWm25J01YU08Xe\nvpmTsi/zNIN9ezDEvyc5JUVkFRdK0jmam4bc0YXwrrfh5ujM0ZymTlxReTGd7Tohc2jS8Vd4UFZT\nSUlVBfszz1BXb2xV48D5syidXRndox9KJ1cOnD9nSRsQEEw3jRdZuiJ6+3YDIFDjRWlVBYaKcpJT\nTkjSANibegaliytjew9A4eLK/tSmH6VBgaEEenhzUVtAv4BAAHr4+NM3IJBcg44QL99WnQmA3WdO\noZK5ETlwMCpXGXvOnLKkxQ4NZ2LYMKaPGE3c4QMA3BE+gkVTpvGXmFgGh3SX5EwAJB8+glohJ2b4\n7ajlcpIvcR68NRqrDtbMyHE8e/c8Hp8zi2F9erfqTAAkHTiERqFg4qgRqOUKkg42OQ/e7ho62Tcf\nD7ABegR2IzjAn+5du0qyAyBh7340KiWTx45Bo1SQuO+AJc3Hw8NKR61U4NTCs3s1duzag7tKRWzU\nODQqFQm791rSPvh8FXfPuJO506bw3U+/YDKZmDMtlr898SjPLnyQ28MGSXImAHYk78ZdrSJ2QqRZ\nZ9eeJp3PvuSeu6Yzd/pUvtv4MyaTCYBe3UMJDQqkR0iwJI3tCUm4u2u4Y/JE3DVq4hOTLGnvffQJ\nC+bPZf6cWaz9/kdMJhOfffkVMRMimTHtDg4ePopOr5ekE5+YjLtGwx2TYtCo1cQnJlvS3v/4U+6d\nN5v5s2byzQ/rMZlMuGvUODu1fcvO+KRk3DVqpkyMRqNWsSNppyVt6bLlLJgzi3l3zeDbHzdgMpno\n36c3QwcN5GJWNn1u69mqM9GqxifLWTB3NvNmzeDbH822TIwaz+zp01gwdxZx8QnSbWljmU2MimT2\njDtZMG82WyXqdGz9q1u25aNl3DtvDvNnX1v9d4QGdEyZdVS9bE9IMrexFnWWsWD+HObPvsui467R\ntLnMOtSWjmjLHfT830j8CVc8SXMo5syZQ0xMDC+++CLZ2dm8/vrrTJs2jfnz5/8u0W3btjFixAi6\ndevW7PiQIUN4+OGHuf/+++nduzdPPvlkm/PWVZbg2tn88Mq6OKOrKrWkDfLpwWCfngzx7cXaE1sB\n2HnxGMMD+rZZR1tRYunIuzk4o61ocn6Szx/n9oA+gMly7M7eozhdcJ7DOSnUmxooqS6XplNejKxx\nX28rnYzjDO/W51IZdqQdISJ4ADE9h3L34Al0smt9EqqgtBg3RxcA5M4uFJY2dx79lBruHh7J9tNH\nMNbXs/n4fqL7hDFt0AgWRsRK0gAoKDagcDbHMVE4u5JfYmiW7q92576IaOKOH8RYb94zXSOTM3/k\neE5nX8BQXtaqRp5eh8LFrKF0lZGv11nS3OXmmZwthw5wb2SM1bEJg8Ik2QGQW1SEys0NAJXcjdyi\nq2+h7KEyO6ybknYyadQISRo5hUWo5I0aCjdyC4quev7oIYOJjRjNtPFjWbLiS0sZtqqTX4Cq0cFR\nKxXk5BdIuq4t5OTlo1JeopHXpJFfWITM1dz+HB0cKC4pxcvdHF9mw69bmRotbQbMrJOHSmmuU7VK\nSXZu05JDs47rJToljBs1gqkTJzBjyiTeeHeppDLLzslB3VifapWK7JxcS1pefgFuMrNT6uTohN5g\nIDsnF3WjQ6RUKsjLk7YMMjsnF1XjdRqViuzcpmWNeQUFyGRNthiK2z74YtHJzUOtNOuo1ZfrFDbp\nODbpeHl68PhfHuTQ0WNoda13KrJz8ixloFapyM69pMwutcXREUNxCV6eHgBsjU/g/rvnSbeljWX2\nm05cfAL33y1ttLVj69+so1FfpmNVL8Ut5nEjaJh12r/MOrJeLG1Zrb6ijrkt/9566ShbOkqnY57/\nGwkbW5tr/rvZuKJDceLECc6eNS8FmDp1KkuXLsXOzo6goCDq6up46623iI2NbbPgvn372LdvHy++\n+KJVmo+PDwqFuTMQHh7OgQMHLKOIUlE5uVFWWwlAaU0FKsemEWdthfnh7mRnT42xlvqGemrr6zhZ\nkE5umZYMfS4F5dI8brWzG6X/n73zjo+qyvv/O4USkkymJ1OSQBqrFGlSFOkJCZAAitLFddH1WVF3\nbVtcFd1nd3/qs+qzrigoPlhXXaRJM0BIoYOA9HQgPZmSQkjP/P6YYZKQQAZILgHP+/Wa1yuZc+d+\nzvd8zzn3fu8595zqSgDKqitRe/s5/r6Ap7snB3NOU1JZyomiLKwXK3B3d2ds6GCGGCLwcHdHJ1O7\npKPxkVNefbG1TtUFPN09OHD+NMUXSjlekI3lYjkVNRfx7m5/evxjTiq5pVe/CQXwlykoq7IHOKWV\nF9DKmp6eH3KMVri7ueHp7k5tfR3lVRfx6WnX2Jt5knMm125AA+RKrJX2oMBaWUGAX7OpWo7RCnc3\ndzzcPaipr3N+ByDz8qbsYmW7Gjqlyhl4WCrKCVC2HHnafGAf/YKDUcv8nN/V1ddTXGrFoNa4ZAeA\nXqvF7BhBM5eWode09ufldbeuvp5Cs5lAf3+XNAz+WsyOGziztQy9fxv5a6ZxvtnNUzdPT2pqa13S\nMQb4Y3Zc+EwWK4aA1vlrqx1eS9s06nSYLc00dE0aen8tZeV2n1XX1CD3s7fZuro6CoqKCTK4PgXS\nqNdhttgDVZPZglEf4EzTNdeprkHu58fZnFxnumc3T2pqatrVCDQaMJnNDg0zxmb5M+h0lJXZH2JU\nVVWhVCgICjQ6b7otFis6XUDrk7Zli9GA2fG7ErMZo17nTNMHNOlU11SjkDfV52vsMgk06DE5njSa\nTJfp6AIoK3foVNegkPuxM6Xp6aLCzw+LteWDgStqOGwxmc0Ym01rbanRZMuW+O34+vowaEB/Ghtd\n2yzrespsc/x2ZD4+DBromo5k/jfoMTt0SkwtdfS6gCZbqmtQNBvxtHEN7VICDZCmzKTyi13nUnsx\nXVHHXpebldk1FJm0tkigI1H770q4ubnd8OdWw2Pp0qVL20p4/PHHGTt2LP7+/mzZsoUxY8YwY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YN2sG367fyKWVrO+MCCciNIQ7wsNcsgMgITkFrUZN3JRoNGoVO5N3Nems+JhFc2cz/6FZfLtm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\nD+XZuXMn9vb29OjRA4DIyEguX75crxOox48fT2xsLJmZmfzwww+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xNsbb1g1XayfcrJ0BuJJ2Gz/XprRxa05qXjrJufr9JkWrnq3IVmZz6dc/yEnP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NNP89Of/nTI8wKa/vTOO+/w+OOPEx4eTmlpKVFRUZhMJp599uqX3hMIBAKBQCAQCAQ3B4EOIATk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\naFgJO3bsYNiwYRW+379/P3369LFJwmpL9tXqlxHVFlNJDW+f3LqQzSWKs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vnnTJgwAXd3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0Wr9+/di4cSN79+7F0tKSvLw8jh49SlRUFPb29gbJ8PPzw9/fHwsLC1QqFampqRw8eJB+/frh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\ndCqEEEIIIYQQevn/0TH9fWmhkeAAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cmap2 = sns.cubehelix_palette(10, light=0.95, start=2.8, rot=0.1, as_cmap=True)\n", + "cmap3 = sns.cubehelix_palette(10, light=0.95, rot=-0.4, as_cmap=True)\n", + "cmap_list = [cmap3,cmap2,None]\n", + "\n", + "obs_params = [('F200W', 'MASK210R', 'CIRCLYOT'), \n", + " ('F322W2', 'MASK335R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK430R', 'CIRCLYOT')]\n", + "\n", + "pp_sptype = PdfPages('references_sptype.pdf')\n", + "pp_mag = PdfPages('references_magnitudes.pdf')\n", + "pp_gam = PdfPages('references_gamma.pdf')\n", + "for i, op in enumerate(obs_params):\n", + " filt, mask, pupil = op\n", + " fov_pix = 320 if '210R' in mask else 160\n", + " \n", + " hdu = fits.PrimaryHDU(opd_sci_list[0])\n", + " hdu.header = header.copy()\n", + " opd_hdulist = fits.HDUList([hdu]) \n", + " sci = pynrc.NIRCam(filt, pupil, mask, save_psf=True, force=True, opd=opd_hdulist, fov_pix=fov_pix)\n", + "\n", + " hdu = fits.PrimaryHDU(opd_ref_list[0])\n", + " hdu.header = header.copy()\n", + " opd_hdulist = fits.HDUList([hdu]) \n", + " ref = pynrc.NIRCam(filt, pupil, mask, save_psf=True, force=True, opd=opd_hdulist, fov_pix=fov_pix)\n", + "\n", + " sci.update_detectors(wind_mode='WINDOW', xpix=320, ypix=320, read_mode='DEEP8', ngroup=10, nint=5)\n", + " ref.update_detectors(wind_mode='WINDOW', xpix=320, ypix=320, read_mode='DEEP8', ngroup=10, nint=5)\n", + "\n", + " cmap = cmap_list[i]\n", + " do_sptype_mismatch(pp=pp_sptype, cmap=cmap)\n", + " do_photon_flux(pp_mag, pp_gam, cmap, cmap)\n", + " \n", + "pp_sptype.close()\n", + "pp_mag.close()\n", + "pp_gam.close()\n", + "clear_output()" + ] + }, + { + "cell_type": "code", + "execution_count": 506, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def bin_spectrum(sp, wave, waveunits='um'):\n", + " \"\"\"\n", + " Rebin a Pysynphot spectrum to a lower wavelenght grid.\n", + " This function first converts the input spectrum to units\n", + " of photlam then combines the photon flux onto the \n", + " desired wavelength bin\n", + " \n", + " Output spectrum units are the same as the input spectrum.\n", + " \"\"\"\n", + "\n", + " waveunits0 = sp.waveunits\n", + " fluxunits0 = sp.fluxunits\n", + "\n", + " sp.convert(waveunits)\n", + " sp.convert('photlam')\n", + "\n", + " edges = S.binning.calculate_bin_edges(wave)\n", + " indices = np.searchsorted(sp.wave, edges)\n", + " i1_arr = indices[:-1]\n", + " i2_arr = indices[1:]\n", + "\n", + " # This assumes the original wavelength grid is uniform\n", + " binflux = np.empty(shape=wave.shape, dtype=np.float64)\n", + " for i in range(len(wave)):\n", + " i1 = i1_arr[i]\n", + " i2 = i2_arr[i]\n", + " binflux[i] = sp.flux[i1:i2].sum() / (i2-i1)\n", + " \n", + " sp2 = S.ArraySpectrum(wave, binflux, waveunits=waveunits, fluxunits='photlam')\n", + " sp2.convert(waveunits0)\n", + " sp2.convert(fluxunits0)\n", + " sp.convert(waveunits0)\n", + " sp.convert(fluxunits0)\n", + "\n", + " return sp2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# eps Eri Example" + ] + }, + { + "cell_type": "code", + "execution_count": 543, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Reference star names and settings\n", + "# Name, Sp Type, Kmag, distance, extra INT\n", + "refs = [('HD 21019', (5465, -0.45, 3.9), 4.42, 2.9, 1),\n", + " ('BR Eri', 'M5III', 0.92, 4.6, 1), \n", + " ('HD 22409', (5000, -0.25, 2.7), 3.66, 1.9, 0),\n", + " ('HD 21419', 'K1III', 4.80, 2.1, 0),\n", + " ('HR 1050', 'K2III', 3.24, 2.2, 0),\n", + " ('HD 21571', (5636, -0.30, 4.36), 3.54, 3.9, 1),\n", + " ('HD 20356', 'K4III', 2.31, 5.5, 0),\n", + " ('HD 22242', 'K4III', 4.81, 2.1, 0),\n", + " ('HD 22807', 'K5III', 4.47, 2.3, 0), \n", + " ('del Eri', (5055, 0.13, 3.9), 1.43, 2.6, 1),\n", + " ('HD 24338', 'M2III', 2.98, 5.3, 0),\n", + " ('Ideal', (5084, -0.13, 4.3), 0.00, 0.0, 0)]\n", + "\n", + "\n", + "# Sort by distance\n", + "refs.sort(key=lambda tup: tup[3])" + ] + }, + { + "cell_type": "code", + "execution_count": 544, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['Ideal',\n", + " 'HD 22409',\n", + " 'HD 21419',\n", + " 'HD 22242',\n", + " 'HR 1050',\n", + " 'HD 22807',\n", + " 'del Eri',\n", + " 'HD 21019',\n", + " 'HD 21571',\n", + " 'BR Eri',\n", + " 'HD 24338',\n", + " 'HD 20356']" + ] + }, + "execution_count": 544, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "names = [tup[0] for tup in refs]\n", + "names" + ] + }, + { + "cell_type": "code", + "execution_count": 545, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F200W MASK210R CIRCLYOT\n", + "Calculating Contrast Curves...\n", + "Finished.\n", + "\n", + "F322W2 MASK335R CIRCLYOT\n", + "Calculating Contrast Curves...\n", + "Finished.\n", + "\n", + "F444W MASK430R CIRCLYOT\n", + "Calculating Contrast Curves...\n", + "Finished.\n", + "\n" + ] + } + ], + "source": [ + "obs_params = [('F200W', 'MASK210R', 'CIRCLYOT'), \n", + " ('F322W2', 'MASK335R', 'CIRCLYOT'),\n", + " ('F444W', 'MASK430R', 'CIRCLYOT')]\n", + "\n", + "nint_sci_dict = {'F200W': 8, 'F322W2':3, 'F444W':5}\n", + "nint_ref_dict = {'F200W':14, 'F322W2':6, 'F444W':8}\n", + "\n", + "contrast_eps_all = []\n", + "rr_all = []\n", + "for filt, mask, pupil in obs_params:\n", + " \n", + " print(filt, mask, pupil)\n", + " fov_pix = 320 if '210R' in mask else 160\n", + " \n", + " hdu = fits.PrimaryHDU(opd_sci_list[0])\n", + " hdu.header = header.copy()\n", + " opd_hdulist = fits.HDUList([hdu]) \n", + " sci = pynrc.NIRCam(filt, pupil, mask, save_psf=True, force=True, opd=opd_hdulist, fov_pix=fov_pix)\n", + " \n", + " hdu = fits.PrimaryHDU(opd_ref_list[0])\n", + " hdu.header = header.copy()\n", + " opd_hdulist = fits.HDUList([hdu]) \n", + " ref = pynrc.NIRCam(filt, pupil, mask, save_psf=True, force=True, opd=opd_hdulist, fov_pix=fov_pix)\n", + "\n", + " bp_k = S.ObsBandpass('k')\n", + " #sp_sci = nrc_utils.stellar_spectrum('K2V', 1.67, 'vegamag', bp_k, catname='ck04models')\n", + " sp = S.Icat('ck04models', 5084, -0.13, 4.3)\n", + " sp_sci = sp.renorm(1.67, 'vegamag', bp_k)\n", + "\n", + " # Noiseless slope images\n", + " # - psf0 is the unocculted planet image for contrast calculations\n", + " # - psf1 is the occulted science target star\n", + " # - psf2 is the occulted reference star\n", + " psf0 = sci.gen_psf(sp_sci, return_oversample=False, use_bg_psf=True)\n", + " psf1 = sci.gen_psf(sp_sci, return_oversample=False)\n", + " \n", + " contrast_list = []\n", + " print('Calculating Contrast Curves...')\n", + " for vals in refs:\n", + " v0, v1, v2, v3, v4 = vals\n", + " \n", + " nint_sci = nint_sci_dict.get(filt, 9)\n", + " nint_ref = nint_ref_dict.get(filt, 9)\n", + " sci.update_detectors(wind_mode='WINDOW', xpix=320, ypix=320, read_mode='DEEP8', ngroup=10, nint=nint_sci)\n", + " ref.update_detectors(wind_mode='WINDOW', xpix=320, ypix=320, read_mode='DEEP8', ngroup=10, nint=nint_ref+v4)\n", + "\n", + " if isinstance(v1, six.string_types):\n", + " sp_ref = nrc_utils.stellar_spectrum(v1, v2, 'vegamag', bp_k, catname='ck04models')\n", + " else:\n", + " sp = S.Icat('ck04models', *v1)\n", + " sp_ref = sp.renorm(v2, 'vegamag', bp_k)\n", + "\n", + " psf2 = ref.gen_psf(sp_ref, return_oversample=False)\n", + " rr, contrast = calc_contrast(psf0, psf1, psf2, sci, ref)\n", + " contrast_list.append(contrast)\n", + " \n", + " contrast_eps_all.append(contrast_list)\n", + " rr_all.append(rr)\n", + " print('Finished.\\n')" + ] + }, + { + "cell_type": "code", + "execution_count": 557, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "nref = len(refs)\n", + "nfilt = len(contrast_eps_all)\n", + "\n", + "rlims = [(0.5,1),(1,2),(2,3),(3,4),(4,5)]\n", + "nlims = len(rlims)\n", + "\n", + "mag_diff = np.zeros([nfilt*nlims,nref])\n", + "for i in range(nfilt):\n", + " contrast_ideal = contrast_eps_all[i][0]\n", + " rr = rr_all[i]\n", + " for j in range(nref):\n", + " contrast = contrast_eps_all[i][j]\n", + " scale = contrast / contrast_ideal\n", + " for ii in range(nlims):\n", + " l1, l2 = rlims[ii]\n", + " scale2 = scale[(rr>l1) & (rr" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pp_epseri = PdfPages('eps_eri.pdf')\n", + "\n", + "fig, axes = plt.subplots(3,1, sharex=True, figsize=(10,8))\n", + "hmap = mag_diff\n", + "map1 = hmap[::-1,1:][:nlims]\n", + "map2 = hmap[::-1,1:][nlims:2*nlims]\n", + "map3 = hmap[::-1,1:][2*nlims:3*nlims]\n", + "\n", + "for i,ax in enumerate(axes):\n", + " map_temp = hmap[::-1,1:][i*nlims:(i+1)*nlims]\n", + " sns.heatmap(map_temp, ax=ax, vmin=0.01, vmax=1, cmap=cmap_list[i], cbar=False,\n", + " annot=True, fmt='.2f', annot_kws={'fontsize':10})\n", + " ax.set_ylabel(obs_params[::-1][i][0], fontsize=12)\n", + " ylabels = [\"{}-{}$^{{\\prime\\prime}}$\".format(l1,l2) for l1,l2 in rlims]\n", + " ax.set_yticklabels(ylabels, rotation=0)\n", + "\n", + "#xlabels = [\"{} ({})\".format(tup[0], tup[1]) for tup in refs]\n", + "xlabels = names\n", + "ax.set_xticklabels(xlabels[1:], rotation=45)\n", + "\n", + "fig.suptitle('eps Eri -- Sensitivity Loss Relative to Ideal Refererence (K2V)', fontsize=14)\n", + "fig.tight_layout()\n", + "fig.subplots_adjust(hspace=0.05,top=0.95)\n", + "\n", + "pp_epseri.savefig(figure=fig)" + ] + }, + { + "cell_type": "code", + "execution_count": 565, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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pUyIjI9HpdHKZ79y5Q9OmTXO93s3NjUGDBuX5B4MgCAW3efNmo88WFhZG82Ql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xlY1iq706IL3411JAr1Nza6g/t/v54abRgkdH7H5RoNGiUpx0jWtFWO/W/PWr+SzZspoOBged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\nAzVhchs7+SClAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pal = sns.diverging_palette(220, 10, n=nref)\n", + "pal = sns.cubehelix_palette(nref, reverse=True)\n", + "pal = sns.color_palette(\"cubehelix\", nref)\n", + "pal = sns.cubehelix_palette(nref, light=0.8, dark=0.2, reverse=True, start=1, rot=-2)\n", + "\n", + "fig = plt.figure(figsize=(10,8))\n", + "\n", + "for j, contrast_list in enumerate(contrast_eps_all):\n", + " rr = rr_all[j]\n", + " ax = fig.add_subplot(2,2,j+1)\n", + " for i, contrast in enumerate(contrast_list):\n", + " v0, v1, v2, v3, v4 = refs[i]\n", + " #label = '{} ({})'.format(v0,v1)\n", + " label = names[i]\n", + " ax.semilogy(rr, contrast, color=pal[i], label=label, lw=2)\n", + "\n", + " ax.legend(ncol=3, fontsize=8)\n", + " ax.set_xlim([0,4.99])\n", + " ax.set_ylim([2e-9,2e-5])\n", + " ax.set_xlabel('Radial Distance (arcsec)')\n", + " if (j % 2) == 0: ax.set_ylabel('1$\\sigma$ Contrast')\n", + " else: ax.set_yticklabels('')\n", + " \n", + " filt, mask, pupil = obs_params[j]\n", + " ax.set_title('{}+{}'.format(filt,mask), fontsize=12)\n", + " \n", + " ax.minorticks_on()\n", + "\n", + "fig.suptitle('eps Eri -- Contrast Curves', fontsize=16)\n", + "fig.tight_layout()\n", + "fig.subplots_adjust(top=0.92, wspace=0.02)\n", + "\n", + "pp_epseri.savefig(figure=fig)" + ] + }, + { + "cell_type": "code", + "execution_count": 566, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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KzJkzld7N0NBQvLy8OH/+PAYGBqSkpGBtbc306dOVGQR06dKlC9HR0Tx//pxq1appjfUU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FiW5TR86dpxgZ8AIDgyZd3uaR+EqoEoimT6Alx08efYv28TtbX7WL36KS6++OYzel1HEi1OLBE/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\ntm0bRUVFBAcH8+uvv+J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lxpoQov3/1lqstUgp2X333Zk1axbLly8ny7KNntGpVqvtY//m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LBkL6Zu4QupjD+nlOx+wT593oaWVhas/oB/rlzJmo83E5JCjMwbwsi8IfRPK+j2GB0dWzGR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\n4oknhKqq4tJLLxVtbW1CCCEaGhrERRdddMz7u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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pal = sns.diverging_palette(220, 10, n=nref)\n", + "pal = sns.cubehelix_palette(nref, reverse=True)\n", + "pal = sns.color_palette(\"cubehelix\", nref)\n", + "pal = sns.cubehelix_palette(nref, light=0.8, dark=0.2, reverse=True, start=1, rot=-2)\n", + "\n", + "fig = plt.figure(figsize=(10,8))\n", + "\n", + "best_names = ['Ideal', 'HD 22409', 'HR 1050', 'del Eri', 'HD 21571', 'HD 21019']\n", + "\n", + "for j, contrast_list in enumerate(contrast_eps_all):\n", + " contrast_ideal = contrast_eps_all[j][0]\n", + " rr = rr_all[j]\n", + " ax = fig.add_subplot(2,2,j+1)\n", + " for i, contrast in enumerate(contrast_list):\n", + " scale = contrast / contrast_ideal\n", + " diff = 2.5*np.log10(scale)\n", + " v0, v1, v2, v3, v4 = refs[i]\n", + " alph=1 if v0 in best_names else 0.1\n", + " #label = '{} ({})'.format(v0,v1)\n", + " label = names[i]\n", + " ax.plot(rr, diff, color=pal[i], label=label, lw=2, alpha=alph)\n", + "\n", + " ax.legend(ncol=3, fontsize=8, title='Reference Stars')\n", + " ax.set_xlim([0,4.99])\n", + " ax.set_ylim([-0.1,3])\n", + " ax.set_xlabel('Radial Distance (arcsec)')\n", + " if (j % 2) == 0: ax.set_ylabel('1$\\sigma$ Sensitivity Loss (mags)')\n", + " else: ax.set_yticklabels('')\n", + " \n", + " filt, mask, pupil = obs_params[j]\n", + " ax.set_title('{}+{}'.format(filt,mask), fontsize=12)\n", + " \n", + " ax.minorticks_on()\n", + " \n", + "\n", + "fig.suptitle('eps Eri -- Contrast Difference', fontsize=16)\n", + "fig.tight_layout()\n", + "fig.subplots_adjust(top=0.92, wspace=0.02)\n", + "\n", + "pp_epseri.savefig(figure=fig)\n", + "pp_epseri.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 483, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "9500 0.0 4.0\n" + ] + } + ], + "source": [ + "# Science Spectrum\n", + "bp_k = S.ObsBandpass('k')\n", + "sp_sci = pynrc.stellar_spectrum('A0V', 5, 'vegamag', bp_k, catname='ck04models')\n", + "\n", + "# Science Image and planet PSF\n", + "psf0, psf0_over = sci.gen_psf(return_oversample=True, use_bg_psf=True) # Planet PSF\n", + "psf1, psf1_over = sci.gen_psf(sp_sci, return_oversample=True) # Science Target" + ] + }, + { + "cell_type": "code", + "execution_count": 502, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def calc_sigma(args):\n", + "\n", + " psf1, psf1_over, psf2, psf2_over = args\n", + "\n", + " # Detector-sampled difference\n", + " scale = psf1.sum() / psf2.sum()\n", + " psf_diff = psf1 - psf2*scale\n", + " psf_diff_rot = rotate(psf_diff, 10, reshape=False)\n", + " final = (psf_diff + psf_diff_rot) / 2\n", + "\n", + " hdu = fits.PrimaryHDU(final)\n", + " hdu.header['EXTNAME'] = ('DET_SAMP')\n", + " hdu.header['OVERSAMP'] = 1\n", + " hdu.header['PIXELSCL'] = sci.pix_scale / hdu.header['OVERSAMP']\n", + " hdu_diff = fits.HDUList([hdu])\n", + "\n", + " # Oversampled difference\n", + " scale = psf1_over.sum() / psf2_over.sum()\n", + " psf_diff = psf1_over - psf2_over * scale\n", + " psf_diff_rot = rotate(psf_diff, 10, reshape=False)\n", + " final = (psf_diff + psf_diff_rot) / 2\n", + "\n", + " hdu = fits.PrimaryHDU(final)\n", + " hdu.header['EXTNAME'] = ('OVERSAMP')\n", + " hdu.header['OVERSAMP'] = sci.psf_info['oversample']\n", + " hdu.header['PIXELSCL'] = sci.pix_scale / hdu.header['OVERSAMP']\n", + " hdu_diff.append(hdu)\n", + " \n", + " # Radially-averagd speckle noise\n", + " binsize0 = hdu_diff[0].header['OVERSAMP'] * hdu_diff[0].header['PIXELSCL']\n", + " binsize1 = hdu_diff[1].header['OVERSAMP'] * hdu_diff[1].header['PIXELSCL']\n", + " rr0, stds0 = webbpsf.radial_profile(hdu_diff, ext=0, stddev=True, binsize=binsize0)\n", + " rr1, stds1 = webbpsf.radial_profile(hdu_diff, ext=1, stddev=True, binsize=binsize1)\n", + "\n", + " # Ignore corner regions\n", + " xsize = hdu_diff[0].header['PIXELSCL'] * hdu_diff[0].data.shape[0] / 2\n", + " mask = rr1]" + ] + }, + "execution_count": 509, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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lbTOWLwrGTLWPwbNsTsrH5z/k4eE7x2LebX4G/zwiIjKMvvQeT8/0NGm8O4L9XfB9ahG2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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "rr, stds = calc_sigma((psf1, psf1_over, psf2, psf2_over))\n", + "plt.semilogy(rr, stds)" + ] + }, + { + "cell_type": "code", + "execution_count": 535, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "hdu = fits.PrimaryHDU(psf1)\n", + "hdu.header['EXTNAME'] = ('DET_SAMP')\n", + "hdu.header['OVERSAMP'] = 1\n", + "hdu.header['PIXELSCL'] = sci.pix_scale / hdu.header['OVERSAMP']\n", + "hdulist = fits.HDUList([hdu])\n", + "\n", + "# Oversampled difference\n", + "hdu = fits.PrimaryHDU(psf1_over)\n", + "hdu.header['EXTNAME'] = ('OVERSAMP')\n", + "hdu.header['OVERSAMP'] = sci.psf_info['oversample']\n", + "hdu.header['PIXELSCL'] = sci.pix_scale / hdu.header['OVERSAMP']\n", + "hdulist.append(hdu)\n", + "\n", + "\n", + "# Radially-averagd Poisson variance (per pixel)\n", + "binsize0 = hdulist[0].header['OVERSAMP'] * hdulist[0].header['PIXELSCL']\n", + "binsize1 = hdulist[1].header['OVERSAMP'] * hdulist[1].header['PIXELSCL']\n", + "rr0, avg0 = webbpsf.radial_profile(hdulist, ext=0, stddev=False, binsize=binsize0)\n", + "rr1, avg1 = webbpsf.radial_profile(hdulist, ext=1, stddev=False, binsize=binsize1)\n", + "\n", + "# Ignore corner regions\n", + "xsize = hdulist[0].header['PIXELSCL'] * hdulist[0].data.shape[0] / 2\n", + "mask = rr1]" + ] + }, + "execution_count": 537, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Q35E14N3kkhkD6RMeAzb4y+p/duu9RETEumIysJcsWcKiRYsoKCjo+M7vddHUHCYa/XiH\nsFBLG4ue3ojdbuPmaybgdHx6c1xOO1+bM4JwVSY+ozfv7l3D9qodxz329R2rAZiYMb6LWvTpHHYb\n//WFSzBCPjbXbmDfwepuv6eIiJiroKCARYsWsWTJkk6fE5OBPW/ePBYsWEB+fn7Hd36vG8OAYEtb\nx3dLX9rGgdogV8wczOCclM+87jnjsxmYnULt9sEALF77JG3RyDHHHGyuZ0/jLqKNyUwfOriLWnRi\nA7NSGJeSDzaD+19/5ozcU0REzJOfn8+CBQuYN29ep8+JycA+niO7nR15jh1ui/DKqhIy0hI/9bn1\nv7Pbbcy7ZCTRxhSSWwZTeqicV/9tmdeqvWsBA6M2i+EDztyGJrfOuQxbm4c9rVvYuKv8jN1XRESs\nwTqB/W9Lu/ZU1NMWiTJhWB/cLseJTj3GhKHpTBreh8qtubhtHv5vy7+oCx0CYNuBYv5ZtBzDgDzf\nCDzuMzcnz+fxcEHuudgcEf7y/otn7L4iImINlgvspsMTzz4qaw/ZzgyFH81ma3/eHUjwEyoZTKit\nmcVrn+CBVY+w8M3fUhOqo618EJMG9evaBnTC1/I/hy3qopwt1DYEz/j9RUQkdlkmsI+8YvNID3tn\n2UHg5AMbIDXg4earx9NamY2zpRdr9m3kvb0fMCi1P1NcV9C2b0inX5/ZlXzuRIb5xmFztfLoquVn\n/P4iIhK7LBPYSYe3J204/Ax7R+lBXE47uRmn9trM/NGZfP6sPBqLR5JMJjP7XIyv7HzeXx3C7XIw\nrH+vLqv9ZFyXfzFG1EZB1ftEjePs2CYiIj2SpTZOgfYedrgtwt7KegZmJ59wKddn+eZlo9iys5rS\nwiReIgrsp39GEl+dPRyXs/PPxbvS4L6ZpLTlcci9i9eLPmD2iO7ZaU1ERKzFQoH98QtA2iecGQw6\nheHwo3ncTv7761P4ywtbGZrbi3PGZ53y+6670pzBF/DU3l08t3W5AltERAArBfZRz7A/Km1/fj3k\nNAMboH9mgLu+Nf20r9OVLpk0jqe29qYmqYydNSUMSutvdkkiImIyyzzDPnpIvGOGeL/TD+xY5HE7\nGZU0BYC/r33J5GpERCQWWCewEz9e1vVRWfuEs359T23CmRVcMfksokE/W2s38/aegs8+QURE4ppl\nAtvlbH/FZl1DMyUV9QzMOr0JZ7Fu1MA0AjVTMCIOHiz4G68Wv2N2SSIiYiJLJZ7f62Lv/gYiUYNB\nOclml9OtbDYb/3HJebhKzsYIu3hk/eMsWvH8MS8/ERGRnsNagZ3owjicV6eyYYrVTB7Rlz/fegXn\nJV+JEXbzTvWr3Pi337F9736zSxMRkTPMUoF9ZPMUiN8JZ//O53Ux/7Jz+fF538Nt+GnwFfGTt+7h\np/94mqbmVrPLExGRM8RSgX1kprjbaSc3jiecHc/Yfnn85cqfMyNjJjZnG1vCb3DDU3extazU7NJE\nROQMsFRg+w4Hdl5WMo44nnD2adxONzefdzX3X7yQDMdgIp5a7nr7Pt4sXmd2aSIi0s0slXpHlnb1\nlOHwT5OV3JvfXfl9JvkvxLBFeGjdn1nywTLtPS4iEscsFdhHnmEPjvMZ4p3135dcwczka4i2enhx\n5yt855938OiGZ/moZg+GodnkIiLxxDJbkwKcNyGHqroQZ43NMruUmPEfF59Lwkt+Xtz1ErWplbzw\n4eu88OHrJCckMyDQn5ykfuT4cjh36GhcTkv95xYRkaNY6id4Zm8fC64eb3YZMeebn5/A8M0ZvFKw\niy37t2PrVcnB5Go2tmxiY9UmAP62Np3fXP590pM0OiEiYkWWCmw5PpvNxtljszh7bBZ19ZN5e8M+\nPiqrI0qIoOMAe0LbaXLv43sv/IJfXfx9slP6mF2yiIicJAV2nOkV8PDFcwcd811rWxvfe/Jhql1b\nue3le7nrolsY0ltvABMRsRJLTTqTU+N2OnngK9+hT3AyYVuIH7/+v+yuKzO7LBEROQkK7B7C5XTw\nv3Pn0bfhbKK2NhYuX0Rja5PZZYmISCcpsHsQj9vJvV+7Bu+h4YSMen780u+JRrV2W0TEChTYPYzf\n6+LeK67H1tiHfS27uX/lk2aXJCIinaDA7oEy0/z8aOa3MVoSWV31Dss2vmt2SSIi8hkU2D3UuIFZ\nXDfiaxgRB49te4ot+3abXZKIiJyAArsHu2zKBM7uNQfsbfx85R+obWwwuyQREfkUCuwe7pY5l5DN\nWCLORn7wz0W0RSJmlyQiIsehwO7hbDYb93zpBrzhDOodpfxk2RKzSxIRkeNQYAset4t7L70ZeziR\nj8JreGLV22aXJCIi/0aBLQBkpvTi5vwbMKJ2ntv1DHuq95tdkoiIHEWBLR3OGjKCyYGZ4Axz1/I/\n0BbV82wRkVihwJZjfH/Ol0kM9afJfoD7Xv+72eWIiMhhCmw5htNh58efuwGj2cf6utWs/OgDs0sS\nEREU2HIcgzJ7c2m/KzGidv74wd+pCx0yuyQRkR5PgS3H9fXz8+kTmkjE1sLPlz+CYRhmlyQi0qN1\ne2BHIhEefvhhfvKTn3T3raQL2e02fnL5V6Axjb2hHTy/eaXZJYmI9GjdHtihUIhzzjlHPTQL6pvq\n4xtjrsVoc/Lk1n9QUV9ldkkiIj1Wtwe23+8nJSWlu28j3eTiqSMZZD8Lw97G3cv/RNTQ+7NFRMzQ\n6cCurq7mjjvu4Morrzzm+1WrVnHXXXfx4IMP8uCDD3Z8//TTT/Ozn/2M1tbWrqtWTHHHF6/A0ZhJ\ndVsZfy98xexyRER6pE4H9rp165g1a9Yx3zU3N3PnnXdy++23M3/+fIqLi1m9ejUAV111FXfccQdu\ntxtAQ+IW5k90c/PZX8doc/GvXS9TfkhD4yIiZ1qnA3v27Nn4fL5jvlu/fj3Z2dk4nU4AJk6cyFtv\nvfWJc1966SX27NnD9u3bT7NcMcv04XmMSpgB9jZ+9tqf9QcwEZEzzHk6J9fW1h4T4j6fj5qamk8c\nd+ONN3LjjTd2+rr/3pMHmD9/PgsWLDi1QqVL/PelX+L6J7ZRnVjKk2tW8NWpF5pdkoiIZSxatOiY\nR8cn67QCOzU1lcbGxo7PTU1NpKWlnc4lAVixYgU5OTmnfR3pWl6Pi+9O+xr3r7+f5z/6JzOHTyQj\nkGp2WSIilrBgwYJPdDzLysqO20k9npOeJX70UOiECROoqKggHA4D7c+5zzvvvJO9pFjI2SMGMyLh\nLAxHmLtfXayhcRGRM6TTgb1mzRqWLVtGdXU1Dz/8MK2trXg8HhYuXMjdd9/NAw88wLBhw5g2bVp3\n1isx4IeXXokz1Juq6G7+9v5rZpcjItIjdHpIfMqUKUyZMuUT30+fPp3p06d3aVES2xIT3PznOd/k\nlwW/5uWSfzFj0BiGZGSZXZaISFzTXuJySiYPyuOstAvB0cbPlv+ZcETvzhYR6U4KbDllt1z0BZIi\nOYTclfzqxWfNLkdEJK6d1izx7rJkyRICgQBTp04lPz/f7HLkU9jtdhbO+Rbff+VuNjS+xcqtYzh/\n1AizyxIRiXkFBQUUFhZSX1/f6XNsRgxN8z0yvV3Luqzl6Q/e5umdT2Bv9fP7y39MWlLA7JJERCzh\nZHJPQ+Jy2q6afC4DXeOJuhu546WHtNRLRKQbKLClSyy89Ju4m/tQwx4WrdTzbBGRrqbAli7hcbv4\nn5nfxmj18O7+Fby/e6PZJYmIxBUFtnSZUblZzMn8MoZh43er/8K++v1mlyQiEjcU2NKl/t8FM8hu\nnU7U3sodrzxAsDVkdkkiInFBgS1dym638fOrv4KnfghNRh13vPwg0WjU7LJERCwvJgN7yZIlLFq0\niIKCArNLkVPg87q45/IbsDX0oax5F/e/9bjZJYmIxJSCggIWLVrEkiVLOn2O1mFLt1lbvI973/8t\nNm8TXxz4ReZOmWN2SSIiMUXrsCUmTBqazbXDrsMIu1m2cxlPFq40uyQREctSYEu3+tL0sXxl8Ncx\nok6e3fk0j7/3rtkliYhYkgJbut0V0ybzteFfwwY8V/IkS1euMrskERHLUWDLGfHFifnMHflVbPYI\nL+x7nCffe9/skkRELEWBLWfMF8fN4Jrh12BzRHh272M8WbDS7JJERCxDgS1n1BXjz+faodeBYeMf\nu5/i0cKXzC5JRMQSFNhyxl0+cRpfHfQNjDY3L+x+gftWPEokGjG7LBGRmOY0u4DjWbJkCYFAgKlT\np5Kfn292OdINvpw/mdZmB8/s/jtrqt/n+qX7WDB9HpOGZZpdmohItysoKKCwsJD6+vpOn6ONU8RU\n20or+NU7DxF0VBGpT2Wa/1L+6yvTsNlsZpcmItLttHGKWMbIfpn86eo7GJk6CkegloLm53ixoMjs\nskREYo4CW0zndrr5yaz/YEbOdOyJDSwtfoQdlRVmlyUiElMU2BIT7HY7C876OmMC+ZDQxMI3fk1F\nwwGzyxIRiRkKbIkZNpuN2z93HenN4wk7mvjhq/ex9+A+s8sSEYkJCmyJKXa7nZ9efh228lGEIo38\naPl9bK7UM20REQW2xJy0ZC/zZ36J8M6xtLS1cvfKRTxW8LrZZYmImEqBLTHpnPHZ/O76rzEkPAcj\nYmfZnme59bHFtIa1wYqI9EwKbIlZ/fom8YvrvsDNk76LI5LIPudabvm/RbSEw2aXJiJyxmmnM4l5\n5wwfzuDMH3Hbv35NjfND5j99Hw9c8Z8kJnjMLk1E5JRopzOJa3WNDXzvud8Qclfii6bzq8u+R7o/\n1eyyREROmXY6k7jUy5/Eoit+gC80gCZ7FfP/eRdPFa40uywRkTNCgS2WEkj08uA1tzLYdjZRWxvP\n7n6Kmx7/NSVVtWaXJiLSrRTYYjk+r5tfXP01bp14C+5wKrWOj/ivV3/K7U//nYraQ2aXJyLSLRTY\nYllnDRvKX76ykMm9zsHmiLAj+h43v3Qndzzzd4rK9ptdnohIl4rJWeIineV2uvjB7GupDV7KQ28/\nz8a6NRRH3uPH77xPQnMm43qP5Qvjz2JIdm/sdr2yU0SsS4EtcSE1McDtc66jtulylqx+hfUHNtCc\nWM6aYDmF776GPZhGliePqf3GMGfCKHolec0uWUTkpCiwJa6k+gLcOutq4Gp2HNjLcxvfYVvNNoL+\nKvZRxXMVhfyj3IbH5iM7OZ2+SamEWx00Nhg0NhoEEpLISkmjf+90xvTLIStVy8ZEJDYosCVuDemT\nyw8umgtATbCOt3dsYNWeLZTW7afZ0cjOg7vZdWj3xyc4gDbYVg1UA0Vgj3jo5erNgNRscpOzyQlk\nkpOUSZ+UAD6vy4xmiUgPpcCWHiEtsRdfGjeTL42bSTRqsO7DA7zw3kfUBesZkJNITmYCaalODjQc\nZF9dNVUNdRwI1tAYraXGUUZNdRlrqz++ntHixWdLI69XNhP7D2J4Zj+yAn3wuRPNa6SIxDUFtvQ4\ndruNySP6MnlE3888tiUcYcNH5RTu3El1y34aItU0GLU0uGoI2svY2lTG1m0FsO3wCREXjjY/CUYS\nPlsKAVcvRmb144Kxw8lKScVm08Q3ETk1CmyRE0hwOcgf0Y/8Ef2O+d4wDPbWVPPmlm1s3rebhraD\nhGggbG8g4jpE0F5HkL1UATsr4YVKsBkO/M4kiLhoa3XQ0mzDgYsEpwuP243L4aA1EiYcDdMWbcPp\nsJPgdONxugh4/YzO7s+4fnnkJGficSaY8y9EREwTk4Gtl39IrLPZbPTvnc43zj8POO+YX4tGo1QH\naymprWRXdTmbS/eyp6aSZhqodwfB0YbNHQU3RIEw0Hjk5OP9joy0H7D1wwKe+rD9qyR7KmnOLNLd\n2eQF8rh4ykgSPXqmLmIVevmHSIwyDIPd5fVU1DSRne4nvZebNlppjYRpaQtzqClEsKWVJI+HJK+X\nRLebUGsbdY0h6hqb2L2/ms379rD3YDlh1yHsvkPYHEe9G7wlkf7+QXx+zGSmDRhDokvL1kSs4GRy\nLyZ72CLxxmazMTA7mYHZyUd9+/HrQXOSP3lOr0TISmn/5xnDAWYQjRqU7m/gUFOI8qZK9jaUsO1A\nMeWREkrCm3l43WYeXmsnxZZJnn8oU3JGc+7Iobhd+q0uYnX6XSxiIXa7jf6ZASDAWPoC4wAItrTy\nf+8X8mbgvvViAAAShElEQVTxOppc+zjo28f6xn2sL3qTP23yku7qx9TcUcwcMZZ+KX01+U3EghTY\nInEgMcHNN2bO4BszZ9Dc2saH5RWsLtnI5gPbOeAopcpWzIulxbxY+hxEXCRGe5OekMHQtIFMHTCC\nkbkZuJwOs5shIiegwBaJMx63k3ED+jFuQD/gUtoiEd7avp03izZQHiyjyVZN0F1BSbSCkqr1LK8C\n451EAmQwNmsYl4ybzKD0TPXCRWKMAlskzjkdDmaNHs2s0aM7vqtuqKdwdxGbynewu76Eg+5KGuy7\neK92F++9+TLOiI/+/oGclTeWmUMn4E/wmdgCEQEFtkiP1DspwMVjp3Lx2KkARI0om0p38eqW9Wyr\nKibo3M/O0GZ2btvMo1sfx2ekk+0ZwIjew5jcfxhD+2kTGJEzTYEtIthtdsbnDmZ87mAAqg42sXzz\nJgr3bqG8dTeN3gMUtx6guLyQ50sduJr7MDp9OF+cOI1R2bkmVy/SMyiwReQT0lN8XHvOdK5lOoZh\nUFZTx6rdW9hyoIjdDTtp8VWwIVjBhnffxNmWRFbCQCZnjuX84WPJSPObXb5IXFJgi8gJ2Ww2+vVO\npV/vc7macwHYU1PB8+sK2FCxlSZnBXsjG9lbtpFn97hIieYyZ/h0vjBhKi6ndl8T6SoKbBE5aQPS\nMvneRZcDl1MfCvFm0QYKSjeyu7GYQ+6dPLVrJ//30VMM9A/lgsH5nD9kvMJb5DQpsEXktAS8Xr44\nYTpfnDCdqBFlxdaNLNv4HvsjO9kZ3MrOTVv583oX6fY8zs6dxBcm5OP36uUlIidLgS0iXcZus3PR\n6AlcNHoClTWNvLppI2vK13PA2EmVo5jnS4t5btez9CaPc/Om8uWpU0nQtqkinRKTv1P0ti4R68tI\n8zNv5tnM42zaIhHe2L6J14tXUxL5kBrHhzxX9iHP7X6awf6RXDXpfMbnDNZSMekx9LYuEYl5kWiE\nlcUb+NeW99jXugMcbQA4I34G+kZw4eB8ZgwbjlNbpUoPoLd1iUjMctgdzBo+iVnDJ1EfDPH4qndY\nXbqWJvc+ipvXULxlDX9Y66N/4mAuHj2Nc4eOwWFXeIsosEXENIFELzfNms1NzKamvpF/bSqgsHwd\nVc4SSiIbeWjjRh5e7yLTPYCxfUdy4fDJ5PbubXbZIqZQYItITEgL+Jk3YxbzmEWwpZnnPijk7Z3r\nqKWEcvsOyvft4JV9y3C0pNDfN4hzBo3jwlHjSHC5zS5d5IxQYItIzElM8DD37HOZe/a51De18P6O\nYgr3bmZ3ww4aXfvZ1baWXR+uZck2B8lkMSJtOBcMm8i4/v01cU3ilgJbRGJawJfAnPFjmDN+DAD1\noSAvb1rL6pJNlLft4VBCKasPlrK6YDm2d3xkuHOZlDOKz4+dTHpSssnVi3QdBbaIWErAm8g1+edw\nTf45GIbBltJSVhStZVtNEQcd5VSwnX+VbeeF0mdIiPQi1zeAyf1GcdGoCSR5Es0uX+SUKbBFxLJs\nNhtjcnMZk9v+xrDWtjZWbtvCOzs3tr+kxFXNRy3r+eij9TyxeRljIl9m0vC+TBreh4w0veNbrEWB\nLSJxw+10MnvseGaPHQ9ATUMjK7ZuZG3Zdg4Eo6zZuZ812/YD0Dc1kdGD0hg9sDdDc1PoneIl0aP9\nziV2KbBFJG6lJfm5etrZXM3ZAOyvDbK2aD/rig6wdVcNK9aUsmJNacfx3gQHacleBmYnM7x/KiMG\npDIgK4DTYTerCSIdFNgi0mP0TU3k4rPyuPisPKJRg5LKejbvrKakooGaQyFqDjVTdTDE2+v38fb6\nfQDYbZCS5CE12UNawENWup/+GUn0zwiQ0duHN8GJw66Z6dL9FNgi0iPZ7TbyspLJyzp2JrlhGFRU\nN7F9Ty3b99Syt7KBuoZm9lbU81HpweNeK8HtwJvgZGBWMuOGpDN+aDoDMgPYFeTShRTYIiJHsdls\nZKX7yUr3M2tKbsf3hmFQ39RK2YFG9lbWU1LZwIG6IM0tEUKtbTQGW1n34QHWfXgAgKREF0Nze3X8\nNax/L5IStcmLnDoFtohIJ9hsNpL9CST7Exg1MO24x9TWN7NpRxUbdlSxdVcNa4sOsLboQMev9+vr\nZ2ReGkP69aJvqpfeKe1/edz6USyfTf+XiIh0kdSAh/Mn9eP8Sf0AONTYQvHeOj7cW0fRnlo+LKnj\n1f0lvLq65Jjz0pI95PZNIjcjQP+MJAZkBcjNCJDg0ktP5GMKbBGRbpLsT2DKyAymjMwAIBKJsru8\nnt3lh6g+GKLqYIgDdUHKDjSyvriK9cVVHefabZDdx0+fXokdPfvUgIf+GUnkZSWTkpRgVrPEJAps\nEZEzxOGwM7hfCoP7pXzi1xpDYUorGyiprGdPRXuo76mop3R/43Gv1Sspgf6ZAfpnBBiQ2d47z+nj\n11ryOKbAFhGJAX6vixF5qYzIS+34zjAMmlsjHGps4VBjCwfqQpRU1Lf30isOsaG4ig1H9coBeqd4\nye2bxNDcXowfms7Q3F64nFpHHg8U2CIiMcpms+FNcOJNcJKR5mNYfzhnfHbHrzeFwpTub++Vl1Q2\nUFrZwN79DR2z1Z9c/iEet4PhA1LJTvfTNzWRPqmJ5PZNIjvdr2VnFhOTgb1kyRICgQBTp04lPz/f\n7HJERGKSz+ti+IBUhg9IPeb7hmAr23bVsGFHFRt3VB23J+73uhjWvxeD+6WQlOjG43biTXAQ8LlJ\nS26fve5NiMmIiAsFBQUUFhZSX1/f6XNshmEY3VjTSSkrK2PWrFmsWLGCnJwcs8sREYkLjaEwB2qD\n7K9tYn9tkJ1lhygqqaWyJnjC8/xeF3lZyQzKSWZQdjI5fZJITfaQ7E/Q7m5d5GRyT398EhGJc36v\nC392MgOzj93V7WBDCyUV9QRb2mhubSPU0sahhhaqDzVTfSjE/pomtuyqZvPO6mPOO7Jda25GEgMy\nAwzIDJCR5iPgc5OU6CYp0YVD+693OQW2iEgPlZKUQEpS+gmPCTaH2V1ez86yg+yvDVJb30xtffue\n68cbagew2SDgc9MryUOKP4GAvz3I/V4X/kQXfq8L3+G/Ar4Eeid78Hld2GzqtZ+IAltERD5VosfF\nqIFpx93drSkU7liGVn0wRH1TKw3BVg41tnKwoYWquiB7Kjr3jNbtcpCWfDjgfW4CPjcpSe1rz3sF\nPPTp5WVwTkqPDnUFtoiInBKf18XIvDRG5h1/q1aA1nCEhmArDcEwDcFWGoNhmkJhGkNhGkOt1De2\nUnOomZr69rel7a8NEo0ef2rV96+d2LGLXE+kwBYRkW7T3nP2kpbs7dTx0ahBsDnMoab2XvqRIfhg\ncxvjh/bp5mpjmwJbRERiht1uw5/oxp/oJjvdb3Y5MUXT+ERERCxAgS0iImIBCmwRERELUGCLiIhY\ngAJbRETEAhTYIiIiFqDAFhERsQAFtoiIiAUosEVERCxAgS0iImIBCmwRERELUGCLiIhYgAJbRETE\nAhTYIiIiFqDAFhERsQAFtoiIiAUosEVERCxAgS0iImIBCmwRERELcJpdwPEsWbKEQCDA1KlTyc/P\nN7scERGRLlVQUEBhYSH19fW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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "var0 = pois_var0 + det_ns**2\n", + "var1 = pois_var1 + det_ns**2 + stds**2\n", + "plt.semilogy(rr0, np.sqrt(var0))# / psf0.max() / obs.countrate())\n", + "plt.plot(rr1, np.sqrt(var1))# / psf0.max() / obs.countrate())" + ] + }, + { + "cell_type": "code", + "execution_count": 504, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3500\n", + "4000\n", + "4500\n", + "5000\n", + "5500\n", + "6000\n", + "6500\n", + "7000\n", + "7500\n", + "8000\n", + "8500\n", + "9000\n", + "9500\n" + ] + } + ], + "source": [ + "from copy import deepcopy\n", + "from scipy.ndimage.interpolation import rotate\n", + "\n", + "bp = sci.bandpass\n", + "obs = S.Observation(sp_sci, bp, binset=bp.wave)\n", + "\n", + "\n", + "# Reference Spectrum\n", + "teff_arr = np.arange(3500,10000,500)#[::-1]\n", + "#teff_arr = [9500, 8500, 7500, 6500, 5500, 4500]\n", + "contrast_list = []\n", + "for teff in teff_arr:\n", + " #teff = 9500\n", + " print(teff)\n", + " logg = 4.0 if teff >= 6500 else 4.5\n", + " sp_ref = S.Icat('ck04models', teff, 0, logg)\n", + " sp_ref = sp_ref.renorm(5, 'vegamag', bp_k)\n", + "\n", + " # Reference Image\n", + " psf2, psf2_over = ref.gen_psf(sp_ref, return_oversample=True)\n", + " \n", + " args = (psf1, psf1_over, psf2, psf2_over)\n", + " rr, stds = calc_sigma(args)\n", + " \n", + " nsig = 1\n", + " stds = nsig * stds / obs.countrate()\n", + " contrast = stds / psf0_over.max()\n", + " \n", + " contrast_list.append(contrast)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 496, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "12" + ] + }, + "execution_count": 496, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(teff_arr)" + ] + }, + { + "cell_type": "code", + "execution_count": 501, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 501, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Wz/Gb/57T6uvN+dP/49U33qHRbWfdR3uYHxpCeMpU9Inx2ErKaDiSS/jgwbit\nWThragmKjgaFt2khmr2RkF4JKBSX5Q0RIYQQXKa3xE9TKJWk3PkTfn7fT9j4r1Us+f1cjDoDKoWK\n6ydM5K7FM9r0etekjgPgYHEhPreP0s93ETVyGGp9CA25x3GZLUSNHoMmNBRnTQ0+hxelWouztgpL\nwfFAFrcQQojLz2VdsAEUCgWxE0YTNWQAdz1wJ1/lfsj+oi945m9PtPm1nnprGVqVFrvHyaavj+Cs\nN1O19wgx40aBH6qz9qFQq4kaPQZdTAxusxlXgwVVsAGPzYr5xFF57UsIIS5TnbJgZ2RksHr1ajIz\nMzu6K21ucFIfAD7dfwi1QU/NwRy8bh/G5H64zRbqs3NQqFSEDx2GvncfvA4H9opK1IZwfG435oJc\nPPbGjh2EEEKIHyUzM5PVq1eTkZHR6s9ctovOOoqp1kz62J/h9XlZ8NObSb2iFxpDCMm33UDFtq/w\n2Gz0umYSuuim3XIaKyow5RwDQJ+YiKfRhEKjISxZ3tUWQoiu7kLqXqecYXdnYVFG+kTFAvDWpzsw\n9u+N22Kjet/RwK3xqsxv8DTaAQiJiyNy5CgUKhW24mJQaPC5XFgKT+D3ejtyKEIIIS6hy3aVeEd6\n4Z1nuHnKr6lvNPHVp3sZMzyJ2sPHm6I4h1xB/ZEcKrZ/TVz6laiDgwmKiCB67DjqDh7AWV1DUEwU\nXkdjU8pX7/4oWkiDEUIIcW4tpXXFx8eTmZkZSFGcO3duYM/xtkjruhhSsDtAYv94eoVHU1pfxZsf\nbWXSjX+k4dhxKnbup/f0Sfi9Xhpy8qjY9jVx6VehDtahDgkhatRoar7Zg7O6lqCYKNwWE/XZ+1Bq\ng1DpglEHh6AJNaIK1ktUpxBCtIJer+fxxx8/I61r586dbNiw4Yz2hw4dIisrq1la1/jx4zEYDDz8\n8MPN0ro2btzYpuEfUrA7yLN//TO/um0e1dZ6sj7ZzchxAzEXlmIrqyRi2GD8fjDl5lGx7atA0Vbp\ndESOGEHt3r04a+vRJyYAXrwOB25zA25zA/bKchRqNZrQMEJiE1BqNB09VCGEOK9tb35K7s6jbXrO\nlImDSZ99/TnbtJTWtXPnTtauXYtWq8Xr9TJjxgx0Op2kdV2OBo8bTExoBH78vLZ5G+rwCADKv94H\nfj+RwwcTlpKM22Kl7PPtOBtMAGhCjYQPHQo+H/aKU6hDjBh6JxM2aDiG3v3RRjTtiuaqr6WxvLjD\nxieEEF3NTWg8AAAgAElEQVTN99O6pk+fzuzZs5kzZw56vZ5ly5YBSFrX5erPKx5m3tw/cspSx5Ht\n+xl29VAa8oqozykkcnB/IocPQaXVUnf4KOVffEmPtLHoe8Wii47BOGAg5rzjmI41rSBHqUSjN6AO\nCUEdYsRlrsfZUEdwXAIqbVDHDlQIIc4jffb1550Nt7fvp3X1798/cDwtLY1169YBSFrX5erKGycS\nERKGz+/j1Q+2og4PR6FWUbFrPy6LDYVCQfiggfSYOK4pKOTr3Zjy8oGmV7yix43HODCF4Lg41CEh\nuK0W7JWnsBYW4qptwNvoxFlT1cGjFEKIzu+HaV0rVqwI/K6oqIikpCSgY9O6ZIbdwebfP4vHn/oL\npQ3VnNx1iORrRlHx5V5OfrSD/j+/HqVajSEhHnVICJVf7aZ2/2FUOh2GxHg0oaFoQkMD5/L7/Xjt\ndjyNjZhyjuF1uHDUVBPcsxeKb/8RCiGEONM777zDo48+GvhZo9Hw5JNPEhkZSV5eHo899hjQPK3L\nbDafNa0rPj5e0rq6q7TkaTS67UxKHsLja/+AraSM+mP5hA/sQ+J1EwMrvl0mM2Wfbwc/9JoyiaDw\nsBbPaS0qwlKQj0qvw9g/GV10z0s1HCGEEK0kG6d0MeOGDgZgX3EhZbsOEz95HCE9o2g4XkTNwZxA\nO22YkR7jx+D3eqn8ajdep7PFc4bEx4NSidfuxF5dSSf6XiaEEOIiSMHuBJ75+5OolSqsrka++mIf\ntlN19J4+CXWIjoqd+zHlf7faW5/Qi4ghV+BptFO5cw9+r++s51RqNITExYHPj8dqw21uuFTDEUII\n0Q6kYHcCOp2OXuExAGz8Zh+lOw+h0YfQe/oklCoVJz/+kqp9RwOz5PDBKYTEx+GoruHk+x9T/c0B\n7JXV+H3NZ9H6xKZFEl67E0dN5aUdlBBCiDbVrgXb5/Px5ptv8p///Ie33nqrPS/V5f155cMogCpr\nPcX7cqjLK0EfG0P/n1+PRh/MqV37KduWid/rQ6FQ0GP8GIwD+qNQKrAUFFGx/WuK/v0BpVu+oHJn\nFnXZx1Co1QRFR+P3eHE1NOCxWc/bDyGEEJ1TuxbsL774grKyMhobGxk8eHB7XqrLG3PtWIw6Az6/\njw3b9nDi/a9w250Ex0SSfNs0dNER1B3Np2jzNvw+H0qNmuhRw0i6aRpx6VcS2q8PGr0et8WGrbSc\nhqO51Ow92GyWba+q6OBRCiGEuFiteq2rpqaG559/npycHN57773A8V27drFly5bAy+Hz588H4N13\n3yU3N5cePXoQExPDnXfeyb333surr77aDkPoPqZfn87f3/+A41XlOMxWCj7aScrPr2mK3/z5VE5+\nvANLcQVV32TTc/xwABRKBcE9Ygju0XRL3e/343U4ObVjJ7bSMiKGDkIdGorHYsHVUIen0YY6RH+u\nbgghhOiEWlWw9+3bx5QpU8jJ+W7FssPh4LHHHmPz5s2o1WoWLlzI7t27SUtL4/bbbwfgX//6Fw6H\nA0BWKbfCH9c8zMbNW3B4nKzZvJ2FSiWRKb2JGdIPpUZN4vVXkvfOZiq/ycaQEIu+V48zzqFQKFAH\n6wgfNJCq3d9gPp6PISmJhiNH8Nhd2KsqCO2T3AGjE0KIzun111+nvLyc8PBwioqKeOqpp7Db7axc\nuZKEhASKi4tZtGhRYJ/wjkrratWZpk6d2myPVID9+/cTHx+PWt1U80ePHs327dubtbnhhhvIz8/n\n3Xff5ZprrmmjLndv/zXzDhQoyK0sZU/uSfI378RpbtoGT60LImnqVQAUf/o1HkfLr3XpE3qh1odg\nKTzZlOCl0+Fzuppm2fbGSzIWIYTo7Gpqanj11Vd59NFHWbBgAXa7nU8++YRVq1YxceJE7r33XqZM\nmcLy5cuB79K67r//fv7whz/w9NNPB7Ykffjhh3nggQe47777UKlUbNy4sU37etE7ndXV1TUr4nq9\n/oyNzvV6fbOdY1prypQpZxybP38+CxYsuPCOdjG/XXoPH3+4jYKqUt7evYthfWI5nPEhQ+66geCo\nMPRxMfQcP4zKzEOUbs2k97SrzxqlqVAqCU8ZQM2+g5hPFKFPSsJ8/Djeb2fZhqR+eKwWHHXV+L0e\ngnv2QqMPPUuPhBCi/X3wygcc2nG4Tc85fNIwbrrvpnO20el0aDQarFYrBoMBu93OgAEDWLlyJfPm\nzQOaJqRLliwB+FFpXatXr2bNmjUXPZ6LLtiRkZHNNjq32WxtttH55bbT2Q/94+s3uHrQzdg9DlZ9\nsJU//mIah974gMF3TSW0Vww9Rg/BWnIKc0EJxZ98Sc/xI9BFnrnrmaFPEvVHcjDnF5A48DoshYV4\nv51lm+yN+FzfzdAt1ly0EdGExMWjVEskpxDi8nA6x/r++++nR48exMbGkpSU1Cx9y2AwYDab8fl8\n1NbWkpyc3OzztbW1REREnDeta8GCBWdMPE/vdNYaF1Swv/8cetSoUVRUVOB2u9FoNOzbt4+77rrr\nQk7XooyMDIxGI+PHjyc1NbVNztmVaLVali5bxB/++BSlDVV8ciSfG4b053DGZgbdMYWI/gkkXX8l\nRR9tx5Rfgim/hLABvYkenoIuMhyVtqngKtUqjAP6UZ99DEtRCfqEBKyFhXgdLhRKJZqwSJQqDT63\nG6/Thqu+Bre5Hn1iX7TG8A7+KwghLic33XfTeWfD7SEnJ4fXX3+dTZs2oVAoePrpp3nxxReJjo7G\nZrNhMBiwWq0YjUaUSmWbpXVlZmaSlZWF2WxudV9b9Qx7z549bNq0iZqaGtauXYvL5UKn07F06VKW\nLVvGX/7yF1JSUkhLS2v1hc9l1qxZLFiw4LIs1qdNv+sGRg1oehXu/cyd7Cqtwu/zc+ydz3A0WJpW\njt82jT43TiY4JhJT3kny/7mFI3/9B0ff/BcFmz7HXluPMbkvCrUa0/EThMT1QqFU4nf70EXF4jhV\njfn4cayFhTiq61Gqdfi8Pqwn83FbWv+PSAghuqrKykrCw8MDjxZjYmJwuVxMnjyZ/fv3A7B3717S\n09OBtkvrSk1NZcGCBcyaNavVfZXwj07u5tF3crK2AqVCyT0338SImHAiByYx+M7vcmP9fj+WojIs\nJRU4G8w4Gyy4LTaCezS9w1136Aim3BPEjBuFz+2gsbQ08Fldz1jUwcHYSkvwezwo1GpUIUGodFqM\n/QaiDjF0xLCFEOKS8Pl8PPHEE2i1WkJDQzlx4gR//OMf0Wg0rFy5kri4OEpKSnjooYcCz6fXrVuH\nyWTCbDYzadKkwKLqnJwcNmzYQHx8PCaTiUceeeS8q8QvpO5Jwe4Cpg2/jXJTNSqFintvmMqw+BgG\n/fI6olJ6t/iZk598ielEMb2nXY0+LpriDz9FE2ogbvJE6g8fQhMaiqF3H9QhIQD43G5sJSXYik/i\n9/tRhwajDtYR2i8FdXDIpRqqEEJcVrp8WldGRgarV68mMzOzo7vSKWw+8A9iDBF4/V5e2/IpJouD\ngo924XW5W/xMbOoIUCg4lXmwKT87KR632YKrwUzM+FTCBw0OFGtoCgsJ7dePiBEjQaHAY7HjtTux\nFObh87R8HSGEEBcuMzOT1atXk5GR0erPdMqCLc+wm1MqlXx84F1Cg/S4fR5e3rIdp9lG8fb9LX4m\nKNxI5KB+OOvN1OcWEjawaVWjKffEOa8VFBFB5LCmXdTc1ka8djuN5SVtNxghhBAX9Qy7UxZscSaN\nRsPSJx5EgYKShioKa+op252NuaTlFK4e44ajUCmpzDqExhhKcM8Y7FXVOOvPHbUZFBVFxNBh4Ae3\nuRFnbQ0uiecUQogO1SkLttwSP7vrb59CXHgMfvy8vmU7fp+PwxkfUvLVQfy+M3OxtYYQooYOxG1t\npC4774xZtsfuoP5IDtXfHKDxVFWzeE5dTAzGgQPB78djs2MtKcLn9VyagQohRDd3MbfEZdFZF1NS\nUMYt187A6/cy68YbuXpgEi5LI8bEnvT/yUR0EUZUmu9er/fYHeRs2IRSrSbl17dQvvVL3GYL+oRe\n2MrK4XtFWqXTYeidQNjAZNTBOvx+P3UH9uOqr0dtCCakVy/0CX06YNRCCNE9dflFZ6Jlif3iGdqn\nPwD/+PQLhv/XLUQN6oO5pJL9azey66kMdi1fz94X36PueDHqYB3RI67AY3dQd/QE4QP7g9+PraQM\njcFA9OgRxKVfRWi/Pvi9Xky5J6jY9hUeuwOFQkHYFYNQKJV4Gh04aqrk/WwhhOggF701qeg4r295\nkSuv+Al2t4PZN8xj/eevED2oD3V5JbhtDtyNdhqrG8j91zZG/OYWokdcQc3BHKr3HyPl7luI8njR\nGkPR9YgObBYQ3COaqFHDqM8+1lS0t39Nr/SrUAcHY+jXH8uJPDw2B7ayk4QNHIxCqergv4IQQrSN\nH6Z1Pfnkk/z1r38lKysr0Gbu3LlMmDAh0L4j0ro6ZcG+3LcmPR+tVsstU6fw7kcfcbS8iKmj72Dd\nW8+Qcmt6oE11dj65/9pGzrufM+K/biFq6ECq9x+lPreA6GEDz3pepUpF5PAh+H0+zHkFVOzYSVz6\nlegTE3FUVeI2m3FbrdgrywmJS7xEoxVCiPZzOq3r9JqpefPmsWXLFgDWr19/RvvTaV2vvPIKXq+X\nG2+8kfHjxwf2JM/IyCAyMpKnn36ajRs3Ngv/+L6L2Zq0UxbsWbNmyTPs83h07RK092v4+38+pM5u\n4o7bf8c1o0Zja3RQU9+A3enk+tTRjAZOfPAV/W5Io+ZwLtX7jhA5uD9K1dlnyAqFgqiRw/B7fVgK\niji1Yxe9rrmasCsGUbMnC6/Nib3qFNqwSNQh+rOeQwghLtTbL7xH1hd72/Sc468dw10Lbztnmx+m\ndTU2NjJgwABOnjzJ2rVr0Wq1eL1eZsyYgU6n+1FpXd+XmppKamoqpaWlZ/1icDadsmCL1nnkLw9y\n451TuW/mYqyuRj75pvmq+tc+2ky0PoJ7r7uK0ISeRA1OpuZQLvW5hUQNTm7hrE1FO3rMCHweD7bi\nUkzHTxA+aCAh8fE0lpbidbiwlRZhHDAIhUKWQQghuq4fpnXFxcXRu3dvpk+fTnx8PDqdjrfffptl\ny5bxxBNP/Ki0rh9LCnYXN2zCMLYd2cSMa+6jrKaKILUWQ3AwPr+fktpT1NjqWf6fD/nnroO89u4K\narPzqN57hIiUvritjTjrzfj9fgzxPQMpX/Bt0R49HHtlFfVHczH0TiC0bz/sp07htbvwBNlwVFcS\n3COuA0cvhOgu7lp423lnw+2hpbSuhx56KNAmLS2NdevWAbRZWtfFkILdDWi1Wt75+o0zjmdnHub+\nOY9Sba0nt6qYWb94kDUr76fuyAmyX32n2StdCqUSfVwMoX3iiRzUH1WQFpVWS9TwIVTv2U/tgWx6\nThyPoU9fLCfy8Drc2CvL0YSGyV7jQogu62xpXRUVFaxYsYLFixcDUFRURFJSEtCU1vXSSy8BzdO6\nDAZDIK0rKirqvGldF6NTvoc9c+ZMWXTWhpb/9mn+9tFH+PEzsu9A/nTvT1GqVQSFGwmKMOL3+bCc\nLMdeXQeALiqCfj+bgloXhN/vp/yLL3HW1hE7eSLBMdFUZ+7Ga7ejiTCgDg7BmDwIpVq++wkhup6W\n0ro2bNiA3W4nMjKSvLw8Fi5cSO/eTYFLbZHW9f1FZ+vXr5e0LvGdh25dzJZ9mSiAqROu4pm/P3FG\nG7fNTmXWQeqO5hMcE0m/n05BFaTFWd9A2Wfb0BgMJEy9FkdtDQ3Zh1EbDKh0KjShRgx9BgS+oQoh\nhGgd2ThFnOGZfz3NmN4D8QNbdn3N80vWnNFGow8mPj2ViEH9sVfXUfj+F3hdboIiwjH274vbYsWU\nl48uJgZtWDgeqxVQ4baYsVeWX/IxCSHE5UQK9mVCoVDw2ucvkxwdjx8/69/ZyNHd2Wdtl5A+nvCU\nvjRW1lL0wVb8Ph8RQweh1GpoyDmO3+0hbNAgFCoVzroGUChxVFXgMklAiBBCtBcp2JcRlUZNxgcv\nEB4cisfn4b6Zj1Dy9UF8nuahHgqlksRr0zD2S8RWUU3d0ROotFrCUwbgc7lpOH4CdUgI4YOHgM+H\nx2LH71dgLSnAY2/soNEJIUT3JgX7MhMaF826/3sWtVKNyWnlwd8/yzdr3qM86yhe93eFW6FUEj9p\nHEq1msqsw3hdbowD+qEKCsJ0PB+v04UuJgZ9Um+8Dgd+jx+/14u16AQ+t7sDRyiEEN2TaunSpUs7\nuhOnnV4tB3Dw4EEAWXzWDiJ7ReOqtLLv8BFqbWZCfBqMlkYq9x8HQB8bhVKlRKXV4Pf7sZwsQ6FU\nEJrUC4VSQWP5KQBCYnugDQ/H1WDCbWpAE2rE73XhbrQSFB4li9CEEKIFmZmZbNy4kaysLA4ePMis\nWbMwGo3n/IysEr+M3T5hFrnlRWhVGp5ceC+hDkfTTDqpJ0PuugGVVoPP7SHnrf/gdbpIufsW1MFB\nlGz+FJ/LTeKN16MO1uF1OanZswef04muRwx+nwttWAT6pL6yE5oQQpzDhdQ9eXn2Mvb3r9Zx9aCb\nsTptPLrmNV5/9SlUtQ3UHivi2D8+Y/Cd16PUqIlNHUHpF7upzDxI4pQJRAxKoWbfQRpyjhM9ajgq\nbRCRI0dSu3cvjqoagmIicZnq8eW70Cf1Q6UN6uihCiFEi958802qqqoIDg7G5XLx4IMPYjKZWLly\nJQkJCRQXF7No0aLAPuEdldYl05/LmEqlYtP29ejUQdjdTu65709oEmKJHJhEQ0E5Oe9txef1EZHS\nF11UOPU5Bdir6wjt2xu1PgRzfhEuU1PSjEZvIHL4CFAqcNXWowrS42m0YT5+FFdDXQePVAghzu7Y\nsWNs2rSJxYsXs2DBAk6ePMlnn33GqlWrmDhxIvfeey9Tpkxh+fLlwHdpXffffz9/+MMfePrppwNb\nkj788MM88MAD3HfffahUKjZu3NimfZUZ9mUuJi6adz9ex203/D9sLjuzZz3MhvXPEO7xUHe8mOP/\n3kbKz68h7srRFP7nC05lHaLvT9KJGjmMyq8zqdy1h/jrJqNUq9GGhxMxZAj1hw9jr6pGn5iA29KA\ntbgATX0tQVExaELD5Nm2EOIMrzy7nh2f7GrTc066YQL3PTTznG1OnjxJbGxs4OeEhAR27drFjh07\nmDdvHtCUvLVkyRKANkvruhgywxb0HpDAm+/8BY1Sg9lpY8bMxej6xmNM7EnNkUJqjhZiSIglJDYa\nS1EZjtoG9PFxGAf0x222ULPvYOBcupgehF0xCL/Hg7WgEKUqCJUuBLfFhLXoBKacw9irKvD7fR04\nYiGEaDJs2DAKCgpwuVwAZGdnY7Vaqa2tDaRvGQwGzGYzPp+v2fHTv6utrW3xeFuSGbYAYMi4wbzw\n8jIWzv1vzE4rd896mNUr/4SirJqiz/cQlZJEzOghnNy8ner9R0m8biJRw4fgrK3FWlRCcEw0oX2b\n9tkN6dULTWgoDUeysZ86hTokhJDERPw+Ny5TPfZTZbitFkJ790fRQi63EOLyct9DM887G24P8fHx\nPP7447z00ktERkYycOBADAZDIJXLYDBgtVoxGo0olcoOTeuSGbYIuHLaBN7821++fabtYN4Dj1Pu\n8+FssFKeeQRjn3iCIsKozyvCZbaiUCnpkTYOpUZNzb5DgefZAJrQUKLHjSckIQFPYyPm3FyshcUo\nFFoUKi0eqxlzfg7eb7/VCiFERwkLC+P3v/89M2fOxGKxcMsttzB58mT2798PwN69e0lPTwea0roO\nHDgANE/rSkxMDKR1AZLWJS6N8sJybpv6X1hdjaiVKu6/8QYGJsYxZv7t2EorKPl8F1HDU4i/eiwA\nttJyKndmoQoOptc1V6Ex6Judz2U246g8hb2qCp/TCYA2MgIUXpQaLaF9B0hEpxCiw/z6179m7Nix\naDQakpOTueGGGwKrxOPi4igpKeGhhx4KPJ+WtC7kPezOxNJg5qa0u6m3mwlSafnzHbcw8KpR9J8+\nkZz/24TH4WTQzJ+hDtYB0JCTR92hI6hCgumVfmbRBvD7/bjNZhqOHsFrt39XtFVqDH2S0RhCL/Uw\nhRCiQ0lal/jRQsON/HtbBiGaYJxeF09u/Jiyb47RWNNAzMhB+D1eag4fD7QPv2IAkcMG4220U7Ht\nK9zfe8ZzmkKhQBsWRtToMagNBlx19eBT4fN6sRQex2WW8BAhhGiJFGzRoojYSNa8/DgapRqzw8qK\njVs4uW0vkYOTUQVpqT2Ui8fhDLQPHzSQiGGD8TTaqdj6FY7as79/rQoKImrUaDTGMFz19eBV4PeD\ntSgfZ33brqoUQojuQgq2OKex14/nvrvvQKlQUNJQxXMvvYujwULM6MF4nS7KtmXx/acqEYMGEvlt\n0S7/4kvqso/h9535CpdSoyFy1Ci04RG4GhpQ+FWgVGArKfz2ta9O86RGCCE6BSnY4rzu/d/7SB86\nGoBvTuaxZ+NWYkYOIiQuBlN+MfXHCpq1Dx80kLj0q1AH62g4mkvZ5ztw1NSdUYSVKhURw4ejMYbh\nrK1tWkGu1mA/VYattOishV4IIS5XUrBFqzz3/kqiQsLw+n08/vx6XJZGkq6biFKrofzLb3A2mJu1\nD+4RTcLUazH0ScRV30D5Fzso/eQLGnLy8NgdgXZKtZrIESNQGww4KitRqoJQBofgqq/FUnAcn0ei\nOoUQAqRgi1ZSKBT87/KHUCqUVNvqefEPL6E1GkhIH4/P46H40534vc1nxEqthh7jxxA3+Ur0ifF4\nrDbqDh2h5MMtWItLv2un0RA5chTqkBAay8rwNbrRGMLwNFoxHT+CyySL0YQQQnY6E6125U8nMWh5\nb46UF/L3Tz5nnuV3hA/og+VkOfW5hZRuyyQhPRWFqvn3wOCeMQT3jMHrcmE9WUpd9lGqdn+Dx9ZI\n2BUDUCgUqLRaIkeNpuHIEZy1NbitQYTExzXtRX7yBNqIKEJ6JaJUyT9ZIUTbOlta15o1a8jKygq0\nmTt3LhMmTAA6Lq1L/u8nLshfP/gL14y/DYfHwT0/uZ8NO16j16Rx2GsbqM8pwGWx0Xva1ah1Z0Zq\nqrRawgb0I7hHNBVf7qLu8FHcVhvRY0agUCpRBQUROWoUtpMnsRQWYC0oIrhXL1B4cdXX4raa0cf3\nRmsM74CRCyG6o9NpXaeTtRYuXMhnn30GwPr1689ofzqt65VXXsHr9XLjjTcyfvx4DAYDDz/8MBkZ\nGURGRvL000+zcePGNg3/kIItLoghKow7pk5hw+aPyC4u4NCXBxh+9Uj633o9JZ/vwlxQwol3P6bP\nT9LRRYad9RzaMCPxUyZx6qvdWApP4rE76DlxHEq1GoVCgaFPH7QR4TQcOYK9vByFRoMuKhKv24G1\n6ATasEhC4hNRqjWXePRCiPay8omX+XTztjY95/U3pvPgn+aes01LaV0RERGsXbsWrVaL1+tlxowZ\n6HQ6Sev6oYyMDFavXk1mZmZHd0WcxYNrFhOtD8fr97LgnkcBUGk19J52NT3GDMFltnLivY+pzc5r\n8fUsdXAwvdKvJji2J/ZTlVRs39lsX3FtWDgxqWmE9usPPh/2U5V4rU5QqnGZ6jDlZuOsr5XXv4QQ\nP8rZ0rpsNhvTp09n9uzZzJkzB71ez7JlywDaLK0rMzOT1atXk5GR0eq+dsoZ9qxZs2Rr0k5MqVLy\nwst/ZsbsRdTbzTzw04d4btOzKBQKYtNGoosKp3RbFmXbs2g4cZKE9FSCws/cdlSpURN7VSrVWfuw\nFpdSsfUrYidNDGx3qlCpMPTpQ3CvXlgLC2gsK8PrcBAUHYXP68VWUojLVI8+PgmlRnup/wxCiDb0\n4J/mnnc23B7OltYVGhpK//79A23S0tJYt24dQJuldaWmppKamkppaelZb72fTaecYYvOb+jkkaQP\nb7ottP3QfrJ3Hg78LnxAH1J+dRPGPgnYyio5/s6HVO45jNd15itaCqWSmNQxGJP74jKZKf9iB466\n+mZtVFotYSlXEDVmLKqQEJw1tXhtThRqLW5zA6bjR2S2LYS4aD9M67r55ptZsWJF4PdFRUUkJSUB\nktYVIOEfXYvX4+WaoT+lwW4hOiScz4/+G4VCEfi93+/HdOIkZV9+g9fuRKULoseYIUQNHYhS3TwH\n2///2Xvv+Lrv+t7/+Z1n73O0t2V52/GK42ySEJJAoay2SXtzaUrphYzeslpKU+BXWnp7odALtKX0\nAqVcoCSUtBQCYQayHMcrHpIsy5KsPY/OHt/1++PICoo8JI/ETj7Px8OP5CF/vt/zPXrIep33er0d\nh9kj3SQPd4EkEV69ksja1Ys6zh3LInO8l9zgIADuqgS2YyA5Dnooiq+hWezYFggEy+JU27o+/elP\nUygUiEaj9PT08MADD9Dc3AxcmG1dJ1mO7gnBFpwX+3++l3e8433Yjs1rr9jOJ7/zN0gv+gG1ygZT\nB7qY3N+JXTbQ/F6ab78eb9XidFFhfJLJ3Xsx8wX0cIjE9s24Iou7wkvJJKnOI1jFIorXixbw4lgG\nsu7C37xCrOsUCASXBWJbl+Al44obt3DNuo0A/OTAHv74TR+kMJ1acEbRNaq3b2D1f3sT8SvWYGTz\n9H7nR6SODy66n6c6QcPrbiLQ2kx5NsXwj37OxK7nMHL5BedckQjxK3fgra/HyucpTkwjyTpWqUj6\nWGfFj9y2Lt4bFwgEgpcYIdiC8+Zz3/00LbFabMfmhwef4/1v/1NGdh9ZVFNW3S7qrtlC8x2Vus7A\no79gct/ic7Kmkdi+mZobrkYPB8kODDH46I+Z3n8I23ihDi6rKqFVq4lesRlZ0yhOTIKtADKFsWFm\nOw9WhNsSwi0QCC5/hGALzhtJlvmP577B6voWHMfhid7DPPjeT3PwK98jP5lcdD7U2sCKt9yK6vMw\n+tQ+hn62C9s0F53zVldR/9rXkNixFdXtInX0GEM//Cn5sYkF51zRKPHtV6KFKus6zVwRLRQFx6kI\nd7c6YEAAACAASURBVJcQboFAcPkjBFtwQZBkiW899S9saV+Dg8PuE0f5wKe+zOOf/DoDP9uzSJC9\niSgr33YbnkSUZGcvxx5+bNECEah4mAeaG2m4/RbCazowC0XGfvEUk7v3LpjbPrlj29vQgJXPk+0b\nQPEEcCdqgJPC/bwQboFAcNkiBFtwQfnKT/6RG7ddiYTEaGaKBx96hH/+zDc58KX/opjKLjir+b2s\neMutRNe1U5xO0vOtR5k9NnDK+8qKQnTDWupvuQE9HCLTd2JRtC3JMqGOVYTXb0BWNXIDA2QHBnFX\nN+CprgOgMDZMsvMAueETWMXCxftGCAQCwQVGdIkLLgpPPfok77v/L8gZBSQkWqI1/Olv/xqr334T\noebaRedPLg9xTItASz21V2/GHTm1talj28x2HiV5pBsch8CKFmIb1yNrL/gA2aZJ5ngv+aHKVjBX\nPE6gpRWzmKM4PYEzVwtXvX4kTaMyjCaBLCHJMpKsICkKiu5CcXuQddei7vdTPZeRSWFk09iGgWMa\n2KaJrKq4ogn0cPSs9xAIBK8uxFiX4JLAtm3++03/g+f7juLgUOWP8uDbb6fjDddRu23NovPFmRTD\nv9hNbngcJInY+pVUb98w73z2YkrJWSae3YuRSqP6vFRfswNXeKHIG5k0qaNHMVKVznVPbS3+llbs\ncpHi1ARmLrPEdyOheDzowTBaMIzi9oBjYxULmIUCRjaNkU6BYy+4RlJVnLmd3pKi4IrGccdrkDXh\ngy4QCIRgCy4xPv+hv+eL33gI27EJuwP8+dvuoOPWnTTdsHnRWcdxSPcPM/rkXsqpDLKmkrhiDfEr\n1qDoi0XOsSxmDneR6upBUhWqrtqGr6520T1L01NkensxczmQJFzxOL76BrRgEHDAAXBwHKdS47Zt\nbMvEKhWxikWsUgErn2fuIJKiLKqFy7oLPRRBD4aRXW4kRUGSJKxyidL0JKWZKRzLRJIVPNV1uOIJ\nJElE3ALBq5nl6N5F9RL/zne+w7PPPouiKHR3d/PQQw9dzJcTXKLc+4n3UFUT4xOf+QKzxQwPfuu7\n/Jlh4TgOzTduWXBWkiRCrQ0EmmqZOXyM8ecOMr77IFMHj1K1bT3x9R0L3M8kRSG2cR2uaJjJXXsZ\nf2IX0U3rCXWsmHddkyQJdzyBKxanMDZGbnCQ0uQkpclJFLcbWdcrwinNpcQlCaRKalzWXShuF3og\nilJdj2OZGOlZzHwWxe1FcXtQ3B5Unx/F5cYqFiknZzBzIxi5HGYuhyTLuGJxPDWNOLZJcWKE/Ogg\npZlJPHWNaP7gAoc4gUAgOBUXVbCvueYa3vzmN5PL5fjWt751MV9KcInz9j/8Tapq47zvTz5Brpzn\nrx55lI+7NHAcmm7cskiwZEUhvnEVkdVt8y5po0/sIdl1nMabd+KJRxac9zfUo3l9jD35DDMHDlGe\nTRHfsnFB6lmSJLy1tXhqajDSafLDQxQnJ7FKJVhiokn1+XAnqvDVtYAkYRsGtmGQHxqiNDWFmV9o\n8CK7XNjlMvmhQfJDg0iahre+HlmVKM/OkO3rQfF4cSdq0EMRIdwCgeC0LEmwp6am+MxnPkNXVxcP\nP/zw/NeffvppHnvssfmNJPfddx8ADz30EN3d3Xzwgx8E4D//8z95wxvecKGfXXCZccNv3Mzf+z28\n+94HyZRyfPzbP+BjmoZZKNHy2itRtMU/jidd0mLrVzL61D6SXcfpeehRqrasp2rbOuRf8Q13RcPU\n33wD40/uIjswSHFqmqort+JOLLRAlSQJPRRCDy2sdzuOA7Zd+a/j4Ng2VqmEXSphFYuUkklKM9Nk\n+/vI9vctfoNzkbQrFkMLBFB9PmRVxbFtyskkxalJChMT5Pr7UVxuvE2N2FYZMz1L7sRxCrqrEqnr\nrkpk73Ihay6kuT3hAoHg1c2SBHvv3r3cfPPNdHV1zX+tWCzykY98hO9///uoqsoDDzzAM888w1VX\nXcXb3/72BddPT0+TSCQu7JMLLkuuvONqPvTAO/nLv/snJnNJ/vcjP+IDwGzfCCvfdD3BhqpTXqd6\n3DTevJNwezNDP9/FxHMHSfcN0fTaq3HHXvAaV70e6m66nuSRLma7jjLys18Smlsk8uKFIy9GkiRQ\nFH5VGhWXa/7/fY2N2KZJaXqacnIGZAVZU5E1DdXjRQ+HT7l4pJISj+GKxQisaCfb309u8ASZnh60\nYBB/czNWqUApOUU5eYr9uZKMrOu4wlFcsSpk9ZLciisQCC4yS+p4ufXWWxcs5gbYt28f9fX1qHO/\nPLZs2cLjjz++6Nqf//znXH/99RfgUQWvFN72R3fyO6+/AwmJvulR/vmnuyhMp3j+y/9F34+fxSyU\nTnttoLmOjjvfQHTtisrs9kOPMrm/c4G9qaTIRDespe4116H6vKS6ehj64U/IDY+e9wpOWVXxVFcT\nWr2GUEcHgdY2fA2NuGKxJW0Jk1WVYHs7iat24k5UYaTTJA8epDybJtC2mlDHevwt7XjrGnHFq+Y6\n0t3YRpnC+AiproPkx4ZP6QwnEAhe2ZzzR/WZmZkFIu7z+eb3gP4qN95447LvffPNNy/62n333cf9\n99+/7HsJLk3e9/kPMDI0zo/272ZvXzdf/Bnc/5ZbGH7qIKO7O6ne3EH9jvW4I4FF1yq6RsNrriLQ\n0sDQz55h9Mm9ZPqHaXrdtQtGwNzxGA233kTySBepo72MP7kLT00VsU3r0UPBl/LtLkL1eIhs2EB5\ndpb0sR6KExMUJyfRgkE0fwAt4Ef1BJADaqXbXJYpp2cpTo1RnBilODWOJ1GDO14t1okKBJcJn/3s\nZ/nc5z53ztefs2BHo1Gy2Recq3K53Hwt+3wRY12vDj75yP/m3tse4Mmug+w73s0nv2nwyU++l5Fd\nhxl99gijuztJrG+j+TVbcYcXC3eotQFf9RsY/NkzZPqHOfbvj9H2azehB/3zZ2RNJbZpPYHWZqb3\nPU9hbIKhsZ/irooTXNGKr772ZTUz0cNhYlu3UZwYJzswgJFOz8+Mvxg1EMBbU4OsKRSnJymMj1Cc\nmsBTVYsrGhfCLRBc4tx///2LAs+TY11LYVmC/avpxM2bNzM6OophGGiaxt69e7nrrruWczvBqxxJ\nkvj7H36W97/1j/nRc7s4MnScBx74ax566l+Y7hpg+KnnmTzYy9SRPmq3raHxuivQvAtNVFSvm5Y7\nbmDsmf1M7j3CsW8/RuuvvWZRF7keDFBz/dXkR8dIHe2lODFFcWIKWdde6CSXKiNdFaczGUlVUH1e\ntEAAPeDHFYugejzLeo922cBxHBSXfsbvg6e6Bk91DY5lYeZyGNkMVqGIbZk4poVVKlGeTZLu6QFZ\nxlNVhRYJU07NkB8dJD82hOYPogXDaP7AXFSuVEbVoNJMZ9s4jj3XwDY3ujY3Ky4QCC59lmScsnv3\nbh555BGeeOIJ7rzzTu655x50Xefpp5/m0UcfJRaLoaoq995773k9zMlPGnfffTfBYJArr7ySHTt2\nnNc9BZcHH/3dv+A7P/0JDg4RT5C//8e/YO0Nm5g6fJz+n+6hNJtBcWm03baTqo3tpxSZyQNdjD6x\nB1nXaLnjBvz11ad9vXI6Q7q3j/zIGI7tcNIQBcfBsebE7cVLQiQJX2M9oY4VuKORRfcEMPMFCpNT\nFCenKU7PYKQqC020gB93PIY7EcNXX3tOTmdWqURhdJT8yEjFB12S8FRXowX8mIXsabzRpRfe2ymY\nN3sJRVA8XiHeAsFLxK5du3j22WdJp9N89atfFU5ngsuLv33/3/G1b/8Hpm2hySq/ef2N3P93f4Qr\n4GHsuS4GfrYHq2wQW9NC++uvWRRtAySP9jH0k2dwcKi7ZiuxDR3nLEKObWPk8hiZDEY6S3ZgkPKc\nALtiEfRgENmlo+h6RagnJjHSL1idVqxIw0iyTHE6iTPXKCZrGsGVbYRWrjhj5H3a53IcihMTZPqO\nV9zXJAl3ogpXPI4kO1ilIo5l4dg22NacCUylDo4kU3F2c+beXwbsip2q7HLja2hG8y0uPwgEgouD\nsCYVXLZ07unknXe+j0wph4RER1UDf/2pD9B23UZKqSxHv/M46cFxdL+XlW+6jsiKxT8n2eFxTvzw\nCcxCkXBHCw037liwGORccRyHwsQkqaO9FEbHF/29pCi4E3E81XHciTiucGi+Pu7YNuVUmvzIGKme\n49jlMpKqEGxrIdjehub3LbrfUp6nOD5Otr9v3rBF1l24E3EUV8XBTdY0bMvELpcrfwyjIuaWhWPZ\nKF4PitsNtoGRrXwYcVfV4qmuFbapAsFLwGUv2CIl/urGtm3uvOGddJ04joNDwOXjgbe9iTd+8Ldx\nB70MPXWQEz/fi2Pb1O1YR8vN2xbNJpezeU784Bfkx6dxxyKL5rXPF6tcxiqVsUtlrHIJWdNwR6ML\nbFNP+/5Mk8zxfma7j2EViiCBt66W0Mo23PHYspvgHMfBSKcpjI5SmBifj+SXixYIILtUwEbxePE3\ntaG4Tr14RSAQnB8iJS54RfGFv/oy//TP/w/DMlAkhRtWruMD/+t+6rd0kB2dovvff05hOoW3KsKq\nt9yIryq64Hrbshj5xXPMHDmGJMsktq6jautCd7SXE8eyyQ4Nkz7aSyk5W/miJKH5vJWxLp8XxVVx\nPFPcLtxVcRT9zCn0k01rllHGLhvYRnl+TejJiFtSlPlRMSOdppScoTQzU+lOlyT0cAhkG0lR8De2\noodOXa8XCATnz2UfYQvBFpxk9MQYd932B0znKoJW44/y5390Dzvvvh1w6PvRs4zt6UJSFFa9+Qbi\na1sX3SPdP8Tw47sxsnlckSB112zF31hzyeymrmwTmyHTf4JyKoORzWKXyovOSapCoKWJ0MoVaAH/\nKe50fpSmp0l1d2EVi8huN4pHQ1Zk3PFqPLUNoiFNILgICMEWvOK4/60f4Jd7nsN2bHRF481X7uSB\nv/sjAtVRprsHOPqdx7HKBm237aTuyrWLrrfKBmPP7Gf64FEANL+XcEcL4fZmJEXBNk1sw0SSJGSX\nhqLrKC79lCs9XwqsUhmzUJjzMi9jZLKk+waw8pVOcG9dDZH1axbt/z5fbNMk09tLfnioEu2HAsiq\nhOrz42tsO2uELxAIlsdlL9iihi04FU8+tov33/tRcuVKg1VTuJr/9Vf/k7W3X0VufIbDX38MI1eg\n4dpNNL9m6ykjwvzENDOHjzF7bAC7bJz1Nd2xMP6GGvz11fjqq182AYdK41puaITU0V5KM0kA/E0N\nRNatvuARd2l6muThQzimiRr0I2sysqLirW9CD0dFtC0QnCeihi14xWNZFr/zmj/gyMAxHBw0WeXm\njZv58y9+GFVTOPT/fkhxJk1iwwra33DtKTeAQSWSTPcNkRkcq0TVmlrpJHccrLKBVSpj5Arkx6bm\n57EVj4u6a7YS7mh5WQXLcRwKYxPMHDxCebZSd/bW1RBobsRbe+GsSs1CgeTB5zGzWRSvF8WjIUmg\nhyJ465rOaZZcIBAs5LKPsIVgC87Gd//le3zi458jOxdthz0B/vwD7+L637iFzm/9mMzwJP66OGt+\n4xZcweWPTJ3ENi3y41NkBkaYOtiNY1r4G2qov2E7rvCZ/chtwyQ7PIZZKKEHfGgBH7rft6RO8qXg\nOA65oRFmj3TPz4fLmoanpgrV40ZxV0a7HMvCLpexSiWssjHfjGYbJqrXizsWwRWN4IpFFqW8Hcti\ntquL4vgYkqqih4NA5QOMFgihR2LowfAl0w8gEFxuCMEWvCpwHId73/Renjl4ANO2kCSJjqpGvvgf\nn2Li2S4mDvSg+dysfvvNhJpqzvv1yuksw7/YTWZgBEmRCbY0EFrRRLClHllTscoGpdk0hckZ0v3D\nZIfGcMwXuaXJEv76akIrmgm1NSxYVnKuOI5DOZUmOzBI9sRQZVTsbEgSsqpiGy+UBSRZJtSxgvCa\njgXRs+M4FEZGSPUcBdvGFY8ju1Xsk85qkozq86F6/Wg+P4rHi6yK6FsgWAqXvWCLGrZgOfQe6uPd\nv/U+xjPTOICuaPzaa27kne/6dfoeexZJgvqrN9J43RWnTZEvFcdxSPUOMr7rAKXZSlQrqQqq24WR\nzS8464qECLbW4woFKGdylDM5SjMpCpMzlQOShK82gbcmjrc6jrc6hupxn1e06tgOZiGPVSzPNayV\nkFQVRdfnXdlkXZv3ELeKJYozybku9UGsQgHZpRNdt4ZAW/OCZzGyWZKHDmLl8xWDlqoEilvHKuSw\nSgs/JEiKiuKai/I1fW6kzIXi8SArYp+3QCBq2IJXNV/+xFf5wv/9OnmjEvl5NDe/9prreN36dkqp\nHK6wnxW37STa0XTer+U4DsXpWVK9J0j1nsAqlXFHQriiIdzREP6GWlyn2DAGlUg91TtIqneA/Pji\nlbSSIiOrKopLR/W4UDxuNK+bYFsjgaa6i1Y/t02T1NFeZrt6cEwTVyRMYsdW9GBgwZls33HyIyOV\n2r4k4YrF0CMRFLcLxzSwigWsUhG7fKq95hKqP4AeDKOHwsia6DoXvLq57CNsIdiCc8W2bd7zhv/J\nc11HKFuVdK9Xc7NjzRresnUtiqwQaKgi3FZPuLWOQEMCHDBLZaxiGcWto/uWt5HrfLDKBvnxaQrj\nU+QnZyrOaYaJbZpYpTJWoVTxBJ/DHYtQtXUtoRVNF61ubBaKzDx/iOzAEJKiEN20juCK1gUfFGzT\npDg+Tm54CPNX1uwqbg9aKFQxfvH6UHQNGwfHMLDLJYxsGqvwQiZCC4ZxJ2pQvT7ReS54VSIEW/Cq\np5gvcv+b3se+3u554VZlldpQjN+4eisrauKnvVYPePHXxvHXxam+ouO8mtbOF8dxsMsGpWSaqee7\nmD12AhwHPein+sqNhFc2XzThzg4OM7VnP3bZwFNTRWL75kXrRR3HwSoUKM3MUErOUE4mF1mjSoqC\n4najeDxowSB6OIJjliklp+bFW/H68CRq0IJhIdyCVxVCsAWCOXKpLH9y55+xp6d7vqMcwKXoRH1B\ntqxo45arN1PTXIXudVHOFsiNTVPOVM5KikzNltU0XLPxZRXuk5RSGSb3dZLs7MWxbdzRENU7NhFs\nvThOZGahyOTuvRTGJpB1jfi2K/A31J/2/EkBN7JZzGwGI5fDKhSwCoUF60oVrxd3IoEeDmNkZjHS\nFSc7xePFW1OP6g8K4Ra8KrjsBVs0nQkuNI7t8K1PfoMv/eu3mc6l5qPuk2iyikt1kfAFuefut3Dr\n795Gqm+UwScOUJrNICky9TvW03zT1ktihKmczjK++yDJ7j5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joxTGJrFKFdMUxeMhsqaD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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pal = sns.cubehelix_palette(len(teff_arr))\n", + "for i, contrast in enumerate(contrast_list):\n", + " plt.semilogy(rr, contrast, label=teff_arr[i], color=pal[i])\n", + " \n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 487, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# N-sigma contrast\n", + "nsig = 1\n", + "\n", + "rr0, stds0 = webbpsf.radial_profile(hdu_diff, ext=0, stddev=True)\n", + "rr1, stds1 = webbpsf.radial_profile(hdu_diff, ext=1, stddev=True, \n", + " binsize=hdu_diff[1].header['OVERSAMP']*hdu_diff[1].header['PIXELSCL'])\n", + "\n", + "bp = sci.bandpass\n", + "obs = S.Observation(sp_sci, bp, binset=bp.wave)\n", + "\n", + "stds0 = nsig * stds0 / obs.countrate()\n", + "stds1 = nsig * stds1 / obs.countrate()\n", + "\n", + "contrast0 = stds0 / psf0.max()\n", + "contrast1 = stds1 / psf0_over.max()" + ] + }, + { + "cell_type": "code", + "execution_count": 488, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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Gcc2gcZwoO0XChiVkuFLY4VzFfcuSGdd+EndOHouvutlFxACm+MmjiW3SErT1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\nREzq/wN9O+NHHOBW9gAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.semilogy(rr0, contrast0)\n", + "plt.semilogy(rr1, contrast1)\n", + "plt.ylim([1e-10,1e-4]);" + ] + }, + { + "cell_type": "code", + "execution_count": 482, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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Gcc2gcZwoO0XChiVkuFLY4VzFfcuSGdd+EndOHouvutlFxACm+MmjiW3SErT1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\nREzq/wN9O+NHHOBW9gAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.semilogy(rr0, contrast0)\n", + "plt.semilogy(rr1, contrast1)\n", + "plt.ylim([1e-10,1e-4]);" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "9500 0.0 4.0\n" + ] + } + ], + "source": [ + "# Science Spectrum\n", + "bp_k = S.ObsBandpass('k')\n", + "sp_sci = pynrc.stellar_spectrum('A0V', 5, 'vegamag', bp_k, catname='ck04models')" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(640, 640)" + ] + }, + "execution_count": 125, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "im_slope[1].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 368, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "return_oversample = True\n", + "\n", + "# Science Images\n", + "obs = sci\n", + "sp = sp_sci\n", + "\n", + "# Slope images\n", + "oversample = obs.psf_info['oversample']\n", + "im_slope, im_slope_over = obs.gen_psf(sp, return_oversample=True)\n", + "\n", + "# Noise image\n", + "zfact = 2.5\n", + "fzodi = obs.bg_zodi(zfact)\n", + "det = obs.Detectors[0]\n", + "\n", + "if return_oversample:\n", + " pix_var = det.pixel_noise(fzodi=fzodi)**2\n", + " poisson_var = det.pixel_noise(fsrc=im_slope_over, fzodi=fzodi)**2 - pix_var\n", + " im_var = poisson_var + pix_var / oversample**2\n", + " im_noise = np.sqrt(im_var)\n", + " im_slope = im_slope_over\n", + "else:\n", + " im_noise = det.pixel_noise(fsrc=im_slope, fzodi=fzodi)\n", + "\n", + "image_roll1 = im_slope + np.random.normal(scale=im_noise)\n", + "image_roll2 = im_slope + np.random.normal(scale=im_noise)" + ] + }, + { + "cell_type": "code", + "execution_count": 369, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Reference Spectrum\n", + "teff_arr = np.arange(4000,10100,100)[::-1]\n", + "#for teff in teff_arr:\n", + "teff = 6500\n", + "logg = 4.0 if teff >= 6500 else 4.5\n", + "sp_ref = S.Icat('ck04models', teff, 0, logg)\n", + "sp_ref = sp_ref.renorm(5, 'vegamag', bp_k)" + ] + }, + { + "cell_type": "code", + "execution_count": 370, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Reference Images\n", + "obs = ref\n", + "sp = sp_ref\n", + "\n", + "# Slope image\n", + "oversample = obs.psf_info['oversample']\n", + "im_slope, im_slope_over = obs.gen_psf(sp, return_oversample=True)\n", + "\n", + "# Noise image\n", + "zfact = 2.5\n", + "fzodi = obs.bg_zodi(zfact)\n", + "det = obs.Detectors[0]\n", + "\n", + "if return_oversample:\n", + " pix_var = det.pixel_noise(fzodi=fzodi)**2\n", + " poisson_var = det.pixel_noise(fsrc=im_slope_over, fzodi=fzodi)**2 - pix_var\n", + " im_var = poisson_var + pix_var / oversample**2\n", + " im_noise = np.sqrt(im_var)\n", + " im_slope = im_slope_over\n", + "else:\n", + " im_noise = det.pixel_noise(fsrc=im_slope, fzodi=fzodi)\n", + "\n", + "image_ref = im_slope + np.random.normal(scale=im_noise)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 373, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "psf1, psf2 = sci.gen_psf(return_oversample=True, use_bg_psf=True)\n", + "psf_planet = psf2 if return_oversample else psf1" + ] + }, + { + "cell_type": "code", + "execution_count": 374, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.00027832548851966597" + ] + }, + "execution_count": 374, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "psf_planet.max()" + ] + }, + { + "cell_type": "code", + "execution_count": 375, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-0.627985159801 1.32115897954\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 375, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+39NGNpws2OqwZ6XaalgrbmztnvZCkT/VzysRcYvSqqRadRtdRfX7Te9VjtMc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eM9yu4ZHllkoEnR7br/AOh4jz2x28xaP3YEIEl9FQSqR9xlYaLPF8JNZk8aiXpogg4SeW9S64Ck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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Subtracted scaled reference image from each roll position\n", + "# Roll and average.\n", + "\n", + "scale1 = image_roll1.sum() / image_ref.sum()\n", + "scale2 = image_roll2.sum() / image_ref.sum()\n", + "\n", + "diff1 = image_roll1 - image_ref * scale1\n", + "diff2 = image_roll2 - image_ref * scale2\n", + "diff2_rot = scipy.ndimage.interpolation.rotate(diff2, 10, reshape=False)\n", + "final = (diff1 + diff2_rot) / 2\n", + "print(final.min(), final.max())\n", + "\n", + "vmin, vmax = (-3,3)\n", + "plt.imshow(final, vmin=vmin, vmax=vmax, cmap='RdBu')" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-6.98465659627 13.2736118565\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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szm01m2wJR5Pogdtzpld0ob7GnMHls3MWe2oxYCF4Xqh6FAt/n5Y1l69mcgPW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etbzbLBYEA333zzabWnVRMssiKHYMU8ukMNrYwnoNw+lCJ3HEDvf3WotFOTKdSCJqLwHVGLySqM\n1W49+Cl74+QPHDMKFS5wu04oVCksAt6IpVipXylvNv3OP/QsI0ProSkjQpgK7NaJ8GejH+yjlYKQ\nQLrcJvx9wuFlFNuPUdSuEA3fBpWvEwkhjhdS1lTbhw862ZAR8SIrjKEQ5OYB95+1HwYhCgd6gSsv\nrFVbef8Jzc1FsCVYrYyPZxu7xr+zlvp01tmJFQDNh0hEq8xHhrAWULGaxWCI0OMT51Z81+wXDu2Y\nFrjRMV9Lje7zJ9Bpj5kZ8t3ONPpuFkakPlpwzGUbnrWIJxFVF2SGxLxa/lljFUCSI9kWfOu+06f1\nyFUYPZIByrEWsBaiuzcp6KxUii6mXxDt13WzWStljAIwDsB0MPEPxyXmiwR2iMwWXb22VhCsOSXK\nc844tXkxyJOzbEsGWbFixYptiM1MBllLWQYHm8/S8CMVfD+ij5nx6URDFiO184+qSrtjQIgqvdU1\n0J5Fii2YDqjRZHmGfgRDXySqyegDozHKIsd6qCXTRRcibbPIYX7wgzvZRMIxtvnfMqq3QdGwlty1\nn66MdVPZUutyPPzZxz4j0ZK0zf3nNKi1ue1mF+D2Ak3Adzt89h+IiGjztgtMz1BDba4Ocl7h++xF\nW1livrac48h+7z5zXzdxdV1BRQa5g39qffbiW2afeCu14FIjqIiLjLFlVvTawsd5or+F5sFhrbFN\nanKVkVYN/QL4ztng45QZSQulN+aMh7qjjSBIkK+NcLrhj3SoVLUGom0nVILwBFE7fVog1+CyvTBj\nguGaI6uzzmIYvkIDWCHYt4Bp8eFCkzgtH8hzzJoOojPSUAvUy/0dsC92veHMyAqI1vqrUXFC2BfC\ndMCMMOhE17OYTmIz87INpA9x7aheU7eBKLGrRx8oirMbYsn4xDRcJBQ7YQAy3714TEuBfDqxzGic\nw71tcYPzjS8ka0sFw803rudE8tG/LJGS3EehPv51jIdNSvT4kAMfZyB5AEXsRl7Q1oUCER9QvpDi\njIcfN6+IK49WKQ6SKwKSfT2eolcstoLCiNuGeDgw/Ur7/M58onjN8x0PIZf5LG16yC8y0MnW67TP\nYcPFDVlIewSpTQh98wto5E4Npu9t6NPCmGlggZMZMPBwYA/BKaHaIYDGx71zPq1/gnfyRJOOe+tc\nkAey74Td5zkwBvdTj2VUYmPLe/e4UCgKc8JqaiUorO4y+8IToWwvquKCQaBBYeCvYuXZWOTL4ciV\nkZeUvujSD3hh2vR0vHQryp8dfcnn/SNJamB6WZjs/pAAd0bHrHw/eF2kHQf4PdgNRewCQuBPxi/u\nQ5TEiSyAF3XV4kYoVqxYsRmwmUG2RLlcXLJpI8E0wRelbqhDog46Lpt1okV5SmAGjYvRHUZUmUqQ\njLISY8OgHO1IWTnECDSnwuWAEYwGucRN6ogLeKHUc0asJlLEKynBTlJyLG4HRb/o8BpEnTFlxnQK\nwRT+xJQfpXmkpHkmbC7nG0gEBQZ56N8qkScQ4dn1wwGynRCk6bgsEJ1YpxVOUqgZ0Q5iOvbVmqld\nLvVagAvEufnGAs1sS58DP8e+Q8ucTDGHNrg4J9w2mPLjfC6xqMyqo+gt9C3qmwstESdIiGARU7u8\n3Ke4riAzCUpYAwqSdWk1VNsZF3VTUWUfnYKIvFaL4DJcBYz6YqS6tcFjmUkiYUPQHQsESSnzbLpN\nuavOyjc2MdKIg5oD7/brzDhB/cLH5KB5lKB0T65/EIQ6LdHJlg4iJzAVvBwlxQlIvDs39laQbbFi\nxYptgM0Msg2xyXyevIw/xd8kJc4tWgXZupcNLepQT999yiBI0ZEc8nXOfE/gTkE5GzDQNuHksv7T\nKP4k7otwZUbmuNIO+mYb+EDhbxw4wY4mIIhlZwWyPh9AJmBJxGWEQo99gOwjRFmhHvQDW1uoDyXN\nRwwZUMKGqr7MBND/NRTww2yFO7zCYu1D0G84YcKXg0f/h4wgY1XTXB/pzXwk69xvRlpHmRsG0v/m\n2kpTo7z61iah6dU60bPW586mpQDfIKO2iH7A72vvsWZTSn4A+FuX+EH6DpGcp1Za2j6XzlufRXZQ\nXqjmBI81psMFJC1UEAAis88KCQuQrezP0XqLFOXJQSwJmPJxQEoR98U4uDgC7qBARA2kE7EOn0/M\nhOD7dzM3mCYIIZDJXcPMKSjmld+cGJUmIrjguTx0KO/jAmpRA4rSRgWEat8F8nzm9M6s3754QUqY\nsKnL6U1ycq9tQbbFihUrtgE2M8g2jSbWz+R9uMGh0M5oZ2haliqltKf0oaLck31EGOkFcwolJRuh\nIOAipWvcyC4IfMpyV0AvUu47xifobWBV8PGwv7JhP6bICgawLoAqWJik6qt4OCMrDMpjRrS1JHOi\nf+x7Y38xhFuIEbGQ3SkKytGUXkYz68y04Ei6Cp/wiozukCAxYFZAhcg7i/WEthFErsT91MbCOKHf\nBV53tUKqMtKT07laYOHvY4GFdjK5zeOMVISmxT79mq/tnKqU8EfF++RT5tJJx1xafLEfBO0KjQwz\nB2dAshVfD5Q83wJEiX30pbyjTqb8PeaSdoDuvAyorL8Ocf3U9qglqnEe5VmwbIS6E+0HrOTlENQB\ng0YobBliBJWLHLJm02Ko6DhmUAOzvqYjg30TqeH+d8rywC+dySPmJjNpKVFF5jxEqie8P05tBdkW\nK1as2AbY7CBbIiIXbVWKpbLx0u8Y7ezoAn5oW/WFGwc2gUSoTUtdebXKpRSCW2jKOvuSzq3lRXo/\nk474gNUO2aDwIgWJmI5Fno4juJUl3a+1zPvkXUnklX+HrxHl8lK7gEGMfl3kGskhdc3ognm2KwJg\nUtR/DiQLFBXszwta6Lt+IFECrARBAo0UiObtIDqe2qwZpY6Y+1j3iFYYvi9AyIQFZoDKIl+HXm3R\nfp8dq31mU/S4ZPsqH/f2XkMrhAi146nCTemgC+49KZDS2oSEXmi4L8qNQZKIrMP84MHAlVfiz8Ue\n7j0wTZCEwffbeI36zIHWOUk0bdRuuYiju+cB6clj8elGTXgAg8clVayz/x3+Xx/DaIEs+d7As5gn\nPaBfdSfZwrbV4Q/jF75fUIJd26kyuGkZG8KWkD6Q+S6SrW5mLSWpYkNBGEkh2/jk+LYg22LFihXb\nAJstZAvzXDv4FsmN1sxLrcBBleh50GJtrqxG8GgThfCAql2qYd1C6AOR8L50aBwsY8G2qCjJ+4TE\nn4a0X0TmKQh/VkqioCQNI791QhFGG3VWPjCYApOZHUQk4iUiugNOLP8uI3oFP2ZaDoRLzvcbYqN+\nOxbZkd+QNTVK1yoyqlyO7AsdpPO6zkh8fnEnEXWL8oX14zQPsZ0xc6RZpKZhoWwIveA4wAses8iN\ntzk+V8fbWnz6tWQXpX0M+ByNos0gw6nAuQKK64MrzWh7rb9EA6B2JzjdgokBrrTMcBhBSTq65Xmi\nwOVcVYtPvuYZAEwz9KxPUdk5+MQJ5tI77Xr2Hc8Et4XnTBAi9uUMTAgRkUE5GZ5toZAlBYpOyF5Q\nsWNiZI5T/r+dOekkWGeVnRJSTjhHJFE721q0LSLjkuZeK3PKpL4XNkKxYsWKnXGbGWQbKMqIqOVv\nkmG88OUpNNpoR14KupEvTVM5T40XuVH0DG4s+HRAyLVGhWWkhE9LfWlEGn1WDiHzbhnBtACWGYpF\nAF1k9cSPzYiWYHyO4LOqEPnl/G4pSZ0+19oobfUk+4wRopOVrMT3ptF6ItWV6JQvasdEHDGXstvw\nl0ICEKwC7gOEdaJDScLG8MLq4zVBMeqKA2JJ5w/oFEI0KKToCw2iZaDTfhU6EfeeFKzkUjrO/1dL\nRN0V2hQhGO5TNsOAsIlnnEjUm9EwMvQgxiJlZnh1Oc5qTrjcAYi0I60JHyj3TyQU+Xohq4pnblUW\nj0C8QOIWToxb7muwDpxPFr8DpYKhIrTyeqBnQfRCotlHI8vJnANBiQ6N6rkKKqAU0Qb4wXhu074x\nq5KMTmnbClz1ZJYQO2yExLItPttixYoVO+M2M8g29/yEbATJfxHEK/4dO9LKqGeUryZzc33BO6HW\n+W45cfHW+FWdIhFQRYD0IKToeARFYbxOxhsXr6Mo/VsTMWvrm5VMK4zOGS+SiKjPfdIS0ewbrbKD\nFATCOepA88j0EQ2F9DEIThkKSF6y7noikVe34P8mpNSDn5UtoHwOawrMcdvgS9bM5QXqblmEux0u\nSTQfkeo55hoT+4MF6TIyXA+YB0Q+NxaNwsahytAuXxT289bs922ZW9zDPgVRcdaaMFH4Gtd636jf\nHVH59H2ZebSb+H6JjMRxQ8Pnj+y7yj0PkSpqHOtAfJ4dvip+gCYI7lXrD6ZsPbkPgHDBiuClIp3I\nxwdtD8yuNCML/cZzyyg0UqfsE57pQebXzdsKjjfcOmaByRQVXqydKQuBhMBJ5266GYRH5jobznzd\nWIdOlT9WkG2xYsWKbYjNDLKNRKSixL3ub9lfws0Tf0l3zJjqPxG04Bf79XmUc9qvVVwnLVmOnWX+\nXCLNvArwuQGRp599eREgn8H4hJSgVp8lryoFK20pHiAYZJQhKu7RfiASDQTwgqH7Kl7tYH1zwEO+\nNFCuDJUOcEQRmrfsN5cSOhE+Q/aFziW0OY8SPD0nUA7ELlliILo2VDMCHAkyh38SDmLOrALagZ4w\nEBi0dqH4lkWnMcvoZEEx2hRPZsT5tzoBwfkBxd+3doz6rPIlvFTe1xIf9JjZ0LU7ryhQCaToxa1X\nYxCOq5Qywn0qswA2V6JJuOri80XlSmi79pUPztcUPm8wMjyzwWdcjVAOBz9H+HZRyqaVWV7w3HNB\n3i5+4+IFlWgTWCFzIqImWgaSzAwcB9+XIe+8CZyPmkKey6o+5ZN7bAuyLVasWLENsZlBtrkpJ3Ay\nT7UTzcWoJrnbXf9LR89AfD3W5+M5vvgdnNoetYIGxE8p204uHil524y0VlC4sLZlR6g/nxXqg7qX\n1eCs3D5wrtaYp9Cg/mOl/iUizj1HpQgwFYJdByhZ9Gu998ohXlAMQ9UT//VqBAfU+hdVd6GSYyXK\nkJhwfm32Giz25zW7DKyEtaSJMJpLfl0t38PHxZAE/M458JkRLWc0NWhb4ewK6pJoPQoPWjU2nd10\nq4TkvxOpZu9AKjOAv4qDM02oP5UsL7R2538Y1H8ubBruP6qEDEZc1JKz7ZpgOdWKeNPXtso0LIA2\npToCX1O+Do3L2hJNZUHNvDnfiyOeH/SCPptAv1VlfftQ7NKwhlN8c4Z7N0ePyhu35wjP9AiFHvke\nbERvIVnlb3u0EnPWDP9xKlhLBdkWK1as2IbYzCDbQLnPkD/E8WjRnNegFX5u9ruMSlNChNKGRCZd\nhJ2XQ6d0iMyg3pA8z5ac/0u1E8DdTFZn2rKTjqsRDJz5WjHyA727qgpjaKA66uvIHXdNlCW72B+D\nO4/1FIQOv55Egh0nmSgrBe5ZH+IntfWgaIzsKvYnw+8KdAd0FRvR25XIO3NgpRAiG/jXooUAFA1e\nMWexSeHEqlVGhtwWQO98rODRSlzB6mCIghoYHPDjx5bGjLyBkARpi7+V+JzYLCpRpxIWCJnjJ4rq\n84SGBlAbZnZDWzoe1ro7rXLXq4lRtJORcQj/eSO+fvTf8odxdRF3GANBRqvYFaM+p3kVhLSAZxK8\nrWQ1ika03Vflpgfp3uRjc0UlsU+J28gM1M5q21iZ9fNdgiQkfvRQfLbFihUrNhM2M8jWMGMz9XMi\nUl6tG+mV/mb9NS1F0UmIkm0GzqXVHtCd2jaBNkQZSypuqg4AzPfDZ8PULmJKDgFLLjxptpb6H3EO\nrNq81yfV7B6LsiULKPQ0cirnC9FZ3qlkvtn6WwPWOxBtWRxXm+sdQCnfapxi/6LyBdQPxTD44mrh\nL5jji5kWKhBsw9F5sAlWuVoB6ljBVwsNXdxbA+T2QyVsgKrBFcksRK4ZHwdqvnEbUrWAdXilHhsb\nWADgN7dzWzslyOeZORJZbwF+y6Ho1jJLBXrB0cYZco0Q0S1AthnfanOcrdVGlGlWVF4AACAASURB\nVA9P+6zFH+yUbfl64ddAQWdu7n6VuIFj92qxebBAcC7RKGIC6EGUWZHUUMtKkZt9ugwx3bPnHucs\nZG67Uw0b/eMZJZ5tgm8a/QO3nYzFTFFs2sx5ks3MyzZQ1BPlAmO+XIW+umyAR4NhgcYge3emCCDR\nY8eVawPTqPQdhGek2Ob7kdIpIGIL5Sg9HGO+JXrRvWic0LRO14OIfrfSD7zkuYlo2waNTKg7bAME\nmvASbNeFnuSPHUcPmT0le+NI8YK3VDAplhnzaSAefgwSvDckN4BUzy/0VX7y8KrtResuAbG+Gh2X\nNjRppeVzgMEDL0h0hmUpMeUDZRAv9ixYWslAZINoMLwgagw8SEAQFwsnkzBdS2hm7Zqmkbs0cwyo\nA3kp2KCtpmrbl1otL8hKy8m7QQEJNBKMqm0ACtZ5WWTFG3tCb4PwDw8k4u4Ipo2KnOiTE5mB5eWv\n9OXJNDgJ/Io/Km0T7f2gLkQcL1x0NgEntQV3noIaPjDTXznLncA8AmsYkPOgpa5xqvducSMUK1as\n2AbYzCBbHX+IYuNFNXxAin/Glj5elrdmP0jGr2in9AEKMHDmy5Bvg3Ixa0uSFFzAS+UdkVqLwniI\nBtip9DoHHPrtutBjVFQFvcD0GlM5/j0jV6X/iw4iHw5ocfYYiBSNaUE7O1NQTwaKMaZ9yyQyE3vX\n9Gel35m25KTZJJE5oVSlFdaB2KvarEf1gFoprZ4W9ThNt5WSO7bnndLUcC1JQJJnHuM1CQIh6Cao\nH6myuB+A0F25bqGCcUCvRopzPRQ3gSJwe1P6mZoiMA5IOXqiUg0zxA2Uzgh2ELKViGiVL8i8pMHC\nJeHcahmdUY7NoWKcC7mPgu2ZzHzcTHS1Se3Ng91HucQjtx1tUFnLUnnqY222g6tC5B/juHNf11Hf\nAtai+6wm/qruQX02WpNKfXJsW5BtsWLFim2AzRCyjeLn6xDLeQ3vlveycVizpUp9sIJ2LQ2k43+U\nFuzI6n1agbolpjvo0snvAdngZEvpEfZb9rPR2idqAIFIf6agIvkeQVWyVBmiMEHEwwYsNPXXiir7\nBApfeDPEsaBKBHHE3etGe1wHLRaJNrWfaUWHYKpKUC721TCi7dvu0DpQToAv3foYxUeHfdQ9SQ/W\njvp7yvl0+VcgSpXPHJrt9d5QC1KEk2UNXQq530ZoTZilcCCz5RRp229bXgZndag1ptL/IVjkZo0S\nBwl6kJ3ihj7g60TRIQwUegPz+7yojSMYRnpTuWQiPSd4J2AW5WYUbBpzUaqepPPLeSXTdpzwbE9c\nn9x62a6Vepc/F5PtBSPbtbU1+smf/En62Mc+RkRER44coQ9/+MO0Z88e+vVf/3V65plnXuguihUr\nVuyfvb1gZHvbbbfRRRddJN8/8YlP0OWXX05XXXUV7d27l2655RZ5EZ/MAv9HpCMPxgIVnpGV069u\n5CXZKmYUJBsZ1bQ+G2H0wi3UGaV05JXItUMRQD1jlDERfyvJtkREA0cFygXO4cOSAn5SZE59l+l7\nWr7Gw+8QRffk3KBwpBPczg7Sy0wCZYIBIXKJELehKRZbajrUIYsMffkTEWp2FJq+nGd3/mOjkWgR\nW8HMAeeVS8RUEDAH/c+xQaQcNhc5pG7KtaAciaTb/kjSi/Mxy2wLpVjasdLBJAmAmQqjbvlwY5W7\nN3GfIKkgjmV2grjAOmZN3F1h1chMCIibr7GgPGYhcNp3JL2WtSDxvtlGUKa0yetLqRrMyoLZLuYo\ntkVCkovHOORaS+mgyUJLvrBARYEg4C6zLbcPcUlPQfA+UUIs5igZi15kicXPfvazdNlll9GuXbtk\n2b59++iSSy4hIqJLL72U9u3b90J2UaxYsWLfE3bayPbRRx+lxx57jD7wgQ/QI488IssPHz5Mi4vJ\nl7a0tERHjx6ltm2pqk7xXo8N+aigjORuyGjdqOY5si1FQYgyPkrJF5XsIyLSMuJoZPKo1uS+Uyea\nLMR9SXfFaN03v4tvS8r3WMdrzBImfHRYhWlI+0FEcx1uKdYHmlA/thdgnjbSSxqmRKGnsBRku1r6\n23Si25bLK4gAvyMFWBI8rOC6+Olj7CJD8GyzxI20D47+yy1nObNS6ijzAY/4URD/bmtlGFFMEqm2\nCz3LzVRE7LjgoS/X34rakzAbxLcsQvECZdO+wTjwswGqs2g+uLlk9u/LPuEerYQ14rm9uMFG4lNu\nvcC43ITM4JDEE34uwG8GcsRmzPjIkzUax2cWpobzmWMfGrexz5zMQLJnT3jXMjtxXthozzdmBRAs\n0lI8dr00u4VvOIsF+UQpZ6f9sv3Sl75Ew+GQ9uzZQw8++CCNx2P61Kc+RTt37qTjx4/T0tISLS8v\n0+bNm0/9oiWit/3ET3aWXXPNNXTdddedbheLFStW7EWx2++4ne68885/1Dan/bK99tpr5e/19XU6\nceIE/fzP/zzt37+fHn74YbrqqqvooYceoiuuuOJ5tXf33XfTuS95CREpchrHQKNWR3T/yvYSarmQ\ncHScSxG8zmLqRJRxevtmva7oTb5fy9dU/x4ywSy6hEmWF0eTRXSF/VEhy1KDQEvDEeeGLMqXCHyw\nfrHKzQoUn0ctDij+U4ceWutXVQTs0jKdQFCs+p3IrT//nu8MFDHEEi6Hg9Iwmq2T9tUL3cwxQdGC\nVNN57E3g6KZGhabAnxmqEr8d2TYh8AK/H+idEMImO2MSCcOMU6t4x6J14cLKPcgymQ4RwqcuWZDw\nX/bmtEAiShrVEHkhc6wqCegUi/yFkXBJX2YZwl8W1Mz3PaNNmbsgfVvKqtv7BM+YvnRqFYzysz+5\nNa1P1yUZE7kYjHJrszamFI1UEovNRBRNfPHhdu26a6+h6669Rs8FRTp46BBdffXVE9ZO9oIDZF/8\n4hfpgQceoNFoRJ///OfphhtuoI9//OO0f/9+OnDgAN14440vdBfFihUr9s/eXvDL9sorr6Qrr7zS\nLLv55ptPqy0/OinucBw8L/gNk5G31pGc1wIKEiZDsEO5z3pxTWZ81VZHz07miUOyjq+KiH0tnE7e\nTqLkY9VggCxgpyfcFkZfcHgri2Dk+DI/U+P8pz3xMdm2NXqcie/k/Q9YD6yLoKVDHOdVI9VWrk79\nqXwL1tbfVbGkZR8lYbJt5TYhsD+4P4GlFbOsufwcAP2NEVWXe6NSjQlGjWNGbRDMru0p0uMDamKU\nPOB+R0apq1GPFf5zuGYhKIPy4Z2sO/aJgs0AtD/CcTbrma+bZ2qiywFthMmzESmoiXJGvM8mO7fS\nDzkmCKzDL2/FnlCSCadK+MJOZL/CjKMZZ+JGELuZLDIlT6u/B9zx6RMZSGUauWkXI8F9A1lKPwvQ\nmbRlCPWI9DxWbgZ3EisZZMWKFSu2ATZDGWREndHBcTC1HA37JyUjymbLVNSNhvvMHzAavP9MB07H\n92zVt+s5o5T5ilP/4EfiTCdkw0g03SLjXIzbZyQFyTLSY8t3OWySvkJbLZj+Ti6/DLOINjpes2Ys\n2WguIsUjhxSS6hfQI1AwIyvTct4v3gX2Bc6xj9jLPZA54eT8u1XBEhHkzowCnBNhh9gNq7RxWpf7\nIV5qFMcMKEzJ51PQmkbviZRVgXu0l68Dbi6y+6TEd5zYr2lSnj25CbreRJy/Pss1giFQCXOAZ04V\nfKDcB5aMbLmEO1Hs+FrlLhEON2Y6PNPEfYHsNPdcSmwAiLPqaxHJapJnlDqMnQYSmD4z0T1TFXVV\nAZVFAZ42zyinuK0d+UP4uOl5mdLfk1hBtsWKFSu2ATZTyFbLK7sIqvyerHK+oO6IETuoQEYp52vr\nddCSbQ0RySpTPjJ+oWybOhtVU3/Bu0UfgAD8vtRXreVY0qeUFCGL1KGvUFfIkEOZaKtZK37l9eNE\nrGilXFD4LC0CWEUV7wp6vHbf3pceKQhqON6kdRYh2NbhEjMyiSiyB7SJ1ZjPitI25jisT99zSQOQ\nLKL6TjdWMv+k3xmybK3PMKtWmBY7lOOz73JtXyL1pfdDFEWxddefhnfZ824/mSjxOaqtz1NVxCrZ\nSLitwpRxOK22/lQV4ud7gWMEuUJFNY2Ro1QH86EzIlkx7ZqZJuSYJpGiKuaJuZPQ2n56ROvXj9k1\n9mXOhdEgPnKdfaT+I8vUIvU6v094uWow4H4+Nc+2INtixYoV2wCbHWTbjsQ/pvn//JP4Fm00XFV7\nWrOeGUGcfoH6AB1X1GcskVk98x3FjLPLe/eZWJ0oP0fNBbEjmsv7YkRWkSr8SyE55Me7zCSwD5o4\nWa0K7E4gntBf7GhJWG6CjtzzUp4lfa5JdpU7F/nR8aI5uTjQyrVFMfW4UK6F+aHClU3b9bi0OMq/\n90bHtTqC9NuyQVTFn5vCH1wGJ6AMjps5cY/4NxyTZWR432ztSsb4WVedcXwl+wnVh7gpaMvievh9\nNw7dYyf9rC+qsgYfvysvJGAz3Q/ryHp0im9gePeYeTCuh2RxoZ5vVeAy3VLLKo+kxvm6OeTXUC+b\nMaC/toqJn/mQ8JmttoMHvDE2uo7o7KJ/iPnYTaHvXFX2eW4klqHr66wqm2V3OMzWCrItVqxYsQ2w\n2UG2VV/5pp2Cj/BL4ufJ2Sbqk+v6pLRgWIreR8nMwgivPra80bEs165KhQNEdLO6TURdXxdaBDoS\n3VJBiMjYarXSguMm+qgssuZqmuwnapw/OwRSRgUyp5yPU0duq+3gEQx8nfBbxayfwkdlXV1Bsrx4\nENBfsESs/xhczcp4DynpCIhegcUIvl+d/HkwDYBw8Tv7u9t6KMhq5O8DUQhjpA1dBlcEU/qCa5/5\nBXHsKPQIf7SyVOTG5jWdlgIzIaAKhnOcZ4PJfd6JQQDVpX5hdgJGSd/NgAS9ZmXGiSySlbMPhgMU\nx3iXfadW5lEpntteNiWCBjHqrvlrTIKqXZzGPYs537bLnkmfPTerFW6vmxV0tIhzRC+zEJJ1vTfZ\nW0G2xYoVK7YBNjvI1nhC7EgqI4ZTWO9mhmRoROpM2dGphh4B0IHjpUr2FK8vmUVjlNEeir/Ra+VW\nbkSMri0xRKMj1uORnho99k4qlj038P9hpAfy9pxNIOCUQQY9UvSTM8CAUNA/KR8NvzB6grZgqrWg\nuhBWL0Kjx4ACjjs6yf9LpL5QWT/L55HMJcttlWMXDQj44xEuR9UHvn6cLVbFVvQq+sjck2obVk0K\nPuimZ+8jmUG4GVW6Jyx7Rvi/mDk4xCczBof6+3J/gb9dZWfFMwQsN1rmExn/l4hoFN0Miq0O6jvG\nHEPa4GNc5Vagb6H3lY0JuJ5ls82xzAT68gwjM4s1JuS55H27c4BYBmYB6xEIXo9I1ccmz5ije/Y9\nOUR0G6I+k8HPruIE37WzmXnZpgPFjWJfqjB19tvpuT9ZddXPyM1uyoB9tEgxTFM0vKxwUaN7WdXy\nAtKHV9MRrQO9mTIVjZUKMxNlZXV0NFEnPdN9AtNmWg4yrPKbb4H4BSmBGjSBQBOmeNk0N0tCINKH\nZxx75jtCbpjKV8Hefjrl411RrdfADYC+lApEqiVJQF6QtpTQKh4awuFF6qRuSiHKZCt88eb46YKI\nu3gisqubdspH2qxJWRxNd0Z6t5PjIzLrgTE2qG0gMzd90aXfRoT7w7qRvHC5igzh5Yq1laLkg1g6\n1Y8Tv+PexBXVocyGC8dtlAFf7mPXvzkdGVNbzgXXMQEpAFN1p//e5RCdC1EHYZusBENfY2wyN59/\nDp2gPh5jeYa4f526OZODcflPJ7PiRihWrFixDbCZQbZ5ymTHHL1GndI2RU/GyVB1ZdJEPo0RrS8X\n40a31iFjiLjUFKU/ggYc9UvRnBfQdssxVSLzc1rH0WYwTVrg9Fzqs4wd0J7I7nFf/OhNSuuBBJ6k\n0PIfQw76xHrBbIvtGt6u51wcVVYVU4rs8darDHXnMMWEcLSABExz2cUxSkh+rodSMnocSIhYA+qV\nhI50PudcyieQlgbyJgfWqOrb4Ef2F4I+oNqpELw9B5IW611apNNx/CSJGpBWFGnNKSJIsic7oxu3\nkYZ8SJWUjZkz2/oCppW7B1tJqcX9nWxAsTODq8StYc2jUn/t5yu7XMqvkz67Uo/SCZNrGrctcZPN\na/kT109752fCXVqcfX47rx8vzWgC988DyjoryLZYsWLFNsBmBtkSxYzWlMxLosHUD+U9VWhKEw+k\n7LVI/GF0hu8KO7WiNt5JXjlUkda1I70StKf47zJf1SSLIYhMoB8FJWDDAZzoRGJ8mqkIf+MIYtNB\nCQgKVUyDG3PQB4UII9CzE4lWsUlFg76/+A3IC8cs8nrBBrUQhBj3beJCToXDORggSAU01ilLn5YL\nvUk651Enrx8qpYv5UuX8qWIm6YOPggaOphXJSgQmQRRs6u5TBCxBX4IIUW1LgKMxFW1J7QyqKLKR\noMzVbvYiwa0OtZF3MWUGFyiLV/h7zQWCq84MDvviryM7GzPlyH30TKLefH+AqslJLtH1oUOvzClv\nMludjII7Kf1uLfzRLSh7elaQbbFixYptgM0Msp1Ufsb7XHx6JsYijDx5Yqgvy5IRh7L/dz0vit48\nDQR0o1aWRj8WSqosllqxinVmEswj0A0kk5XTkbTLMUdOUeYEaA6+Y58SSR7dkWm7pUpQrvjnIAbt\nxGGo51KAYS4F1+ACnxYNNCb0NyAoa8pSsKVuUPwwgG7TrFHLCFsQnu+eS/fu4VqLA98Jg+dJBMGe\ni8rNjLxvv0/+vMOAcPM7Dm2mzxGB7oRNeBvulyYH8HHxalh/JL8HpelJejBfO75WoFkheaElFGNE\nv1OjXjYzSSIx2iUnSCSJBPY+wbUGy0YwaA+l5XEv8H1Pvc6z3aEQ4l50z3M3rT5yHzS9uon2Ke8k\nCKF/fkbtKWJk74FIIaOd0vO2gmyLFStWbANsZpBtMseNZfMjixDMwQqAGHHGRlDwa/2+4m8EGAUf\ntBNpdX496UxGlnYFNLDOSALWaUmfEeO8F7jwqYex0WgrfFaCIrwghxvbhcAPJJuT6hNCEw83XFYV\n1gGRHOeRuA056LSeEy9pst8rFDNklDYIKBZofZgrbfo+L6gJHOVo+0bOgpZi70uU2Pqe4dcTrq84\n3dZMUyoeomwWnFctC2OPvWtA4k6C0e07xEZ4ysJbdW0j2QSoUkqaO640rkdPIFYkRV+8EMI+kvru\nhJacH7Lv7lGkBlPmT+0IP4kP384+6mjjHji+VnjoYCPAf79OVLl0Z5npWE4sEPC0su7oa5X53DXe\ngnPEbbeWDeR9tZ1ZrXe1Zyvr7LvL0vBWkG2xYsWKbYDNDLINRF1em/lR/wAO0VLWvDwbbYQR4JCG\n+A5dGY1u8UYgxPwbVrHRWV+Guc/IBAhLR07LSBT+Jfa5foIiC3xrOR/rH5bItkvH9AIdglYzL7Qe\nA6LBbqw9SYZM/jvOIRD8oNKNOgwSx9CYE0ceC6AAgXeusd1nzp8UiUicG2ZRSOkgcDK9mLOUq7fC\nQYzXTT+9+cKVgqSkbKA7p1l6tfjmIWrOv0C4HteqjY6vPU0cP4Ni4o9G1H64iddxzBeHqtvo7nsg\nyAmoWZ8FG71Hv8YQltFuTexwlHsE/tlcOpxRfmXLKYnxNeu5Ujs4fC8YNYpBRZHc+yH4Wayblcgu\n3Tskn3kHd51D8uT6XhsryLZYsWLFNsBmBtkSRfHBej8eOLCSm10jrz6Zyvgp+pvmaVPRD+x1MoIV\nxCtlvBGB11EtuhETUVoR0eiwNWVoNV9FPHqwqZOBNeLG4QPV/BkgF4vIoKWg0n85DEr9WHd+1caz\nCxw/UcXSbUR4IAULc7NoqHGDfe0Ql2RTgWEQxLNs2ouhVu60m0nItWrA4GCdg04hQsglWqGdvItA\n5jJrkv65rMEur4KmmUdQtcvVD5XldmPFdbAWeJ+jaFkMZo/gX4tflPfl8vyj8+FqH9mHHrVVfTlA\nIwPr2mfGl6rxmgLiI/f+ZNL7VzPY7DXxMznR0sjjM9RlptQUM7lIe62EN4znD/e/QfW6gvCC89ml\n8xGn7yenJhRkW6xYsWIbYDOEbIMgPB8JbsW3yKOfE/+tXMmbeoK/Sfw2jo+qvjqXcy3+PseEIHLj\neNZPJ/embsjJY1oXPXeKWQtiRW/EE4iBHYUewVZgXmJ0zIdIOmAP4GdEFNztM4+wmt+l9Er3tvFI\nBLoEtV9DGrcqU+vCqkgffbJ+8YxrQh09CIg/15b3KeLbkMcU367j38Ym43fiNx+jDuZ3vbrw+Hp/\nN1guVef6y6yFz7/E46MVwu45lJo1kI6HgrRd+ZC538TxseVudyLjXt8gN//MkHtevf+1M5MTv3B2\n/sFrlnvS8+MZcWOm5PbglRI62aem//wOcD7b4O9Nl7nnfboxj4R4hHsSK8i2WLFixTbAZgjZdhWj\nNPPGZSd5bqGI++KjypSF2I+KLB2gIDdyS4aYH629GlSezz2lfA/JUkSwuS/In0d5ZocQa4rkc711\nwLT9CBI6nVzMTtF2shRBRX/A2XUMDLgSnf+skYg22nIWG2VDdPLoidvwKAi8T0bAmJXIObM8YaJA\nI/HzpmXrrCMxYEQIbqaeV8BkRrSCPq3/sg21IvDxKu8OfGd3z2Fbl6Mf3PE1gppH0obn/wqbQi4e\nX0vug5QIygqCpj9QEDUKum+cfoU06UvAYFbgVLQ693mM5MsfCc8X68C3jBkTTq8rJaTHjbazbMyO\nPkHU37J+V3zM+sRb1C8C4dnxioA77g/R1MCsA/0xXTD60ml7y9xIuZjKTNA2ChuhWLFixc64zRSy\nVd3M9F1RJnwsrAzFY0Svo23J64cMlXG2Sk9Gbut78yAVBf+0rIZfLwp6a4Idufvid7KlVAKyqER1\n3lYYyCsQeIThI9fe/+dLqogvFC7IDH2Ln8sdu/c2+XzzyuXVd7mNdXaC7AwCK9cO7XiOrxRnFCRj\niwgOqijXFMfcrxAl7pltYYrIcC+kvohOQMZVXsdvUqjR4xD4NG21B89/lmi5aOnWWUaSPePYA8q1\ng7kxAEqdxhMW3m4v81NbikKn6oBXmnMKY14foIlBS9fLHiwUxGyw7xG6nMN87QyFCs+5n82uBBbz\nV/jCbYae+nhtREELPerMSEuvWy63aOdiz+6cVU4DpFM5JmTvpqytaRxtWEG2xYoVK7YBdtrI9sCB\nA3TbbbfRRRddRE888QRt3bqV3vve99KRI0fo1ltvpfPOO48ef/xxuuGGG2j79u3Po8XMiwoFe6es\nbuOpWSYRtssigvgTaGhdOIo2atzwH1A06ju/jh8NGwoyUqIfNq7eVbb3XMJKMpmsngF/4f0k6/lI\nrtunaLli9K0s41B9cG3GHVVklLfp4+wSTOavfmTOc87hf5TKCg79VigB7vzEtWS6kek/VKiArkyp\n6A768ZF2GwUHNzZKNh74xryPKmN9uDx+575TDV3XF9V8tapVbaiy8wSEZFF8LX5h61PGPVu7+01m\ncO1Yjkn90eajw8uW+0rUwYDyLbe9T02mccBt5SyIrO0O89hlguLqINcOSmp16PIbvD/YnRKKbt8a\na0E7YBwErf3mzo30133vuVmAzabLGohRrq88O7FRv/gUO+2X7XPPPUdXX301veUtbyEioquvvpre\n/OY30x/90R/R5ZdfTldddRXt3buXbrnlFvrYxz52urspVqxYse8JO+2X7cUXX2y+xxhpfn6e9u3b\nR7/4i79IRESXXnopfehDH3pe7bUUBJ0Fp+Kl/hGgIFv1NbhRJv9blaI8aS59iP+GfVht3TPbYVRr\nM9+Q6PojJxwoBmpGPsPJ+4IEUULjwXTJ2Nj581ALK9KE0Tbbp1jGr6xd5NprUGjGXvKvNhwB7kml\nWds09rTWBhpW1r8Lf5dXuPIoGt+hQ4paXj0pBgdd1kFW66w2/RS+MDLEuGcjvr2BjmtwktE3bq+K\nrV4zyTby+heu53wug1RVsLMw9cvqSZNMQc8b529S+YI3kei+R3kTuN/KL+VPF4wAa6GurcqW8sht\nxH2ieX+wtMAzt2jRsW9LZpUNPwe9nqB9lCz3HFjqtGX98P4+Ctl95rVHtFYhZh9k9i3MGD8TcX55\n7QWZ58szK7z9k/hsv/zlL9Mb3/hG2r17Nx0+fJgWF1Npk6WlJTp69Ci1rZ9oFytWrNh/X/aC2Qj3\n3Xcf3XfffXTTTTcREdHOnTvp+PHjtLS0RMvLy7R582aqqlO/0//Hq6/uLHvPNdfQtddeK9Hzluyo\n53l7oq0QeqrBOUXJqqPO7qrRBredoIgQMg6oLOJ1LPRTXQCgNe6/11CQvkT1L3Lr8HNBxwD5/+Pa\nV1OAHw9q+qwTABRVDzIdUjtSK1cQOp+Ohyu+qNRfqe0lCEz5wcJ+WD/BbfGso0KliZ5ZrxJNYlvh\nQfywqNMViCL82a5ahZ51q07VUdF3Wgo41yE2WXyATD9oyrkaMwcWEXZBoc6fjAy//Fih/qVTi3R+\ne6L965gFNNlibGSWpNUomGucVf9IOxcVCnuAkx+PtF12XxJliNVxd1XbAb9bto3GODDF09dON1vR\nsX/c0asWCMkWqY/W7Jsimm+qGOaR7KneU7rXO26/ne64885TrG/tBb1s//zP/5wefPBBuummm+i7\n3/0uHTp0iH7sx36MHn74YbrqqqvooYceoiuuuOJ5tXX33XfTrl270pf8YsaGtNSwd3TjJsB3hfE+\nxdGXmPZTisYFCHQ9bKcuAJ1G2TtFpjp4GUwhlKPH42iDc8ktkvY34gMQoWhuu0FhPzlQKy4u7gX3\nMm5iRlEL3dIteb886VtSnPkc4LEdRRXw0Jbg7+C04SkUr1ZcQNwaC2VLuZ/O09+TW11FVpybiT9V\nYJrM7yNpM31XypKed6U+8ePqRFVQwNLLemo6Nb9YMNiRplJLwHTy+27qNN0X8UTgakS1XAsPPBon\ntuMDYD7I1X3JqdulclRGuY89DbG1Qj/SJT9ctEqt8m6laTI/mhhkXV2x0fFz4wAAG89JREFUN8fL\ndW/49CLgNOW7P/8+sUmvi747rr32Grr22mvUvUhEhw4dpKsngEbYab9sv/GNb9AHPvABuvjii+nd\n7343ra6u0rve9S664YYb6OMf/zjt37+fDhw4QDfeeOPp7qJYsWLFvmfstF+2F110ET388MMTf7v5\n5ptPo8XcJW7dBh7lANn0gkUjVQ4ZhNJip1l5iiZRNpV0Y2m3TQRwVLpNhzyLcoTY76a1Mo67lFoj\nYs3bDiRAg4AGkBYvdm4CJdVjeLbF+ap6TkdqLOPprNCsuBWlNdm2cHjor4hfN2tEjDCiI7R3BDow\nk0RXgEYhyuIDmQjqUU11y6XXKwT4bKCUnFuhFkEgJt+jDyI1ycddBZ2GQtIycnFIV9RQzgEog76/\nvHydH61eCFKMEe4DLRZo73NF7GTNiSh5qlL6jduqbJKDMAfhgnFuGnj4Oq6BUE8Ql7diPbJvtCku\nH+tSqsU1ZgPgFCYFaa15Fwbcgk1lg7ya9MC/Z7/JGZsgoJT3n1yCkJ9gBEdpS/1ySUUnsZLUUKxY\nsWIbYDOTrhsoZC5QHhEdasC3OvhR2CKaSJHyFNh8W0U/tk0tBJmWeKoYRjWb6jcZ4XoA64UTxV8c\n7d7HoRZU0JBLAgABXtJxfcIH+sCjMihrlQqUSCpwUGRBNKksN3yh7N/zSRwo8Af3aj0UlKki27wv\nDtg09Zz0I20EcRCIywA9O2ES8T02ijId0pMmna+tAaqbElgdZBClcjMhpMF6iUilHDn46dCepDyH\nIEE+G67JRe/xaQWVumjJ3rNVyANMjACD3UvHLy+JHpNaJqIxF5nsz9vnifLZoU1Ll4Cj83n6GV/r\n7tEcOvoEIT2b9pr6eYRPrZVnLoYswGhnhZ4m1ykH1VqKILn1Y36tO7GF6VaQbbFixYptgM0Mso2U\n+WcyvxF+s588OncI58TfqSsZ5zguwY2hiLwqkkGiQvqW+9FcEXE9BjeCC6VLaE4J5YnQt0s1rDK8\nJPtDhBe99WjH+Zl8mnFOI5IJQefcuDPshL3JibND4lBkK3PqlFCeJpeuoU7EGtFy0LWcP5By/xn6\nbfsr5WL41PjCg6sMIReIUZsj9o8i0UAi1U4Y2zFJ9OwjBRszHpeSLadd4wfkyw+J2dhD7a6DR3PC\noIk5bWnyLDC6+7f2SMwLHQlNU6P5OqPkPTg03Xb6P+no9H5H6Z2alBYXhfZmfbTqinVoeApqbcz2\nFg9Pnp3mHcX9NaXQ5km2eT5WkG2xYsWKbYDNDLIlylIbO8LMGK1s5N1z8vIUPkePnO6fcWwDj6LJ\nfw8a2ZVxU6LeQLQWmfs0UxUFAfcR6+uOlFNppeawU8+SCFNk4RRd61Eg8QEJBr78uO4z30Nm4jNF\nOnIjLI915qcOKutHl5RJIFpwiwn7tJKMmoqrYtfi16ssMgUjAEhbtmWGhJRPJ0TqrVO9344yVoeN\nRCtKxjYWYUliyygJfld1z64Xqg4qdpTvzoyu6aDoZMCB5sq7CPn0JB57XlsR48bMwvrxK9J7UPzY\n0v/JMyNlsbhz5ZCvv3ezw0i+1knmuMaVzOTsTAKoNT1KykzAMbmO27ansH51pgpGhGfqTm7WW0G2\nxYoVK7YBNlPIthNydL5D8bm4uPJEPlw2whF1M8oEO0s2C9oC2rRdEZej2b/1K0kEOEBgxkZ+4SeW\nfTueZZWVIhE5RCkX7sZNJ/umAh4ucoxzFHNk4dJcna+5EqTifOFIBZb+p9tnPfTFj6ulRiwyt7yL\nPFpvRW4UoVmkWZP6hSvONpP+SyowUoMhH2j3JeyV1goCUWzl+vtMqkauDQTUkSqMSDsgrvVVxyz9\n2/s2PcJCcclczNweIB+Hu4dNhSagR3THnU8RMgJbpIWMqUXi+QzOsz06/sno73977jrlcByzoKUw\nIaW684czP+t1+8oZEO4c+PiG7tOyJjqsIofMY+y+AwrPtlixYsVmxGYG2YZmTUYnXw5HeLU+g6PD\n90N0PMO+zpcjue+O0aCjMCT9bFaS9DNSZ+QTdCkjoEMw4juySKFyyIYyn60f8f3xdPLnO9oPZtep\nL+IPtl5vrKs58J4NggsT7XfuRJ9aClwuPPQXuE2I7rAwChgA0Z6rVe4K/KreawakMqa+ZiZBBwL+\nR8c0gSC5IHawACQWMOb/cyZcaMkXNVQ2wSki1EBFfHyCbDN/IbbxEn5+n5MQVOq3OylsbczuC1lq\nr5XEEXBOIFwT3PVxgvZEtWQpVtXk0jleQF2flS5KTm3b7c3hOL+psg8sgvQ+dV8uJ/cXTxMc975y\nvR6+w3jf+EiOn8t2/55kBdkWK1as2AbYzCDbWA8VAWCZoJpkwSGDrpOXR6J2nUJlkZT6eOzIKKXD\nZbCyPsZJe/D+Ia8CptlcrgsSxbWsAM360r8FzAji9ugS+/Z+bcdHlKKTVeaPnJJd50zEruHvEy1J\ny3ggqihyuXA9WMjvQdVrbPqD44SK1kgOg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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Subtracted scaled reference image from each roll position\n", + "# Roll and average.\n", + "\n", + "scale1 = image_roll1.sum() / image_ref.sum()\n", + "scale2 = image_roll2.sum() / image_ref.sum()\n", + "\n", + "diff1 = image_roll1 - image_ref * scale1\n", + "diff2 = image_roll2 - image_ref * scale2\n", + "diff2_rot = scipy.ndimage.interpolation.rotate(diff2, 10, reshape=False)\n", + "final = (diff1 + diff2_rot) / 2\n", + "print(final.min(), final.max())\n", + "\n", + "#vmin, vmax = (-3,3)\n", + "#plt.imshow(final, vmin=vmin, vmax=vmax, cmap='RdBu')" + ] + }, + { + "cell_type": "code", + "execution_count": 379, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Create an HDU list for WebbPSF tools\n", + "hdu = fits.PrimaryHDU(final)\n", + "hdu.header['OVERSAMP'] = oversample if return_oversample else 1\n", + "hdu.header['PIXELSCL'] = sci.pix_scale / hdu.header['OVERSMPL']\n", + "hdu.header['EXTNAME'] = ('FINAL')\n", + "hdulist = fits.HDUList([hdu])\n", + "rr, stds = webbpsf.radial_profile(hdulist, ext='FINAL', stddev=True)#, \n", + "# binsize=hdu.header['OVERSAMP']*hdu.header['PIXELSCL'])\n", + "\n", + "# Ignore corner regions\n", + "xsize = hdulist['FINAL'].header['PIXELSCL'] * hdulist['FINAL'].data.shape[0] / 2\n", + "mask = rr]" + ] + }, + "execution_count": 367, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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jqG9qw+FThXj51xEY7z3ihtudzanA5/uyIZdJkHLuCtKyy3D3zeOwONYf1lai+GMkIqI+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\nrkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#rr2 = rr\n", + "#stds2 = stds\n", + "\n", + "#contrast = stds / image_ref.max()\n", + "#sig_lim = 5 - 2.5*np.log10(contrast)\n", + "#plt.semilogy(rr, contrast)\n", + "plt.semilogy(rr, stds)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 382, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 382, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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wm5WZXV6fiIgYQ68O7MkjY5gwLJorpyRgtZh5/JVtXdY9/ve39vDnV7eRvvsIESF+ALy7\nOf+8n2lobCFtVwlRYf6YTPBuWgH7Dx/j0Ze24nTC9v3l1NQ1dUl9IiJiLL06sP19rSy7PYUlC8Yx\neWQMx2saKT9+8UuXtra28a8PD7Iu4zAtrW18dfpAhieGs/NgBc/+eyd7886+CcmevEpaWp3MGBdL\n8pBo9uVX8Yd/bMHphDGDIgHYccC9rnUREelZenVgf15iv2AA1zSvlta2C75WSUWt6882q5nZE+KY\nPaF9ft1bm/L465u7Opx/ulW/81QYjxkcxcIrh2L3t3Gksg7HyBhuuXo4ANv2l11wXSIiYly9ZqWz\nL5PUNwSA/YePsX1/OW9vOsRPFk1kenJsp691+MhJABbMHcys8XGEBfsxc3wcu3Ir2bi9mEMl1bS2\nObGYTbyfcZgVq3dxzbQBbMk+itViZkRSOH4+Vp64dzbrMgq4KiWRkEBf7P42Pt1ZgmNkDJNGxHTp\n7xcRkUvnQlY688rAXrx4cbetdHYuiX3bW9ivrtvvOvZ+5uELCuzTrfRRAyPpH9N+3QA/Gz/9n4lY\nLCY+2lrEkcpaistq+PNr23A64dX327930og++Pm0/2OJCvNn4ZXDXNe96YqhvPDWHh55Pp0n7p1N\nwqmaRUTEWBwOBw6Hg6KiIlJTU936jLrETzk90AsgNNCXvhF2duVW0NDY0ulrFRxpD+yEmKAz3jvd\nks8vqeZfHx4A4OHvpTB/ahLf+eoo7l044ZzXvX7mQH6ycAJOJ6zLONzpukRExLgU2KeYTCZODxC/\nMiWBqWP70dzSxs6DnR/kVVBaTaC/jfBgvzPeSzr1rPzTXSXszatizKBIkodGc8cNY7h+5kDs/rbz\nXnvK6L4E2334KKvwop6zi4iIsSiwP+eOG8YwoF8I188YyMThfQDYmt25udl5JSc4UllLQt9gTKeb\n7J9zenDbx6fmZM+d1L9T128fxBbPiZom3vkkr1OfFRER41Jgf878qUk8fu8sAgN8GNI/FIvZxKHi\nE25//vjJRn75bBptTrh22oCznhMW5EdooC8AfSPspIzq2+k6b5g9iJBAH154ay/ZBVWd/ryIiBiP\nAvscbFYLcdGBFByppq2tva98/+Fj/OixjygprznrZ97PPMzxmka+9ZVhTB3b75zXvnfReO68cSx/\n/sks/Hw7P+4vPNiPe26eQFtbG8ueS+Ng0fFOX0NERIxFgX0eiX1DqG9spexYHQDvZxwmt+gEb52l\nK9rpdPLBlkJsVjPzL0s673XHDYnmqpRE12jwCzF+WDQ/vnk8dY0tPPqPrTS3tH75h0RExLAU2Odx\n+nlzXkn7qO/dh9oHoG3IKjpjwNfBouMUHj3J5JExBAb4XJL6Zk2IZ/5lSRSX1/DmhtxL8p0iIuIZ\nCuzzOD03O7+0muMnGyk82t4VXl3bxP1PbeKTHSWuc/+78RAAl3dyENnFWvSV4YQE+vD6+gOc1Drj\nIiI9lgL7PE5Pwfrne9n8z7J3AZiZHIePzUJ2wTEef3UblSfqKauqY8O2YhJighg/NPqS1hjob+PG\nOYOpb2xhtVrZIiI9lgL7PMKD/egXaefzs7OunprIK/97NT/4+hjqG1v4+1t7eefTPNranNwwezBm\n85lTubrbVSmJhAb6svrjXNeiLSIi0rN45dKk3sJkMvH4PbNoczo5cPg4+UeqGZ4Yjslk4qopiby1\nKY9NO0qIDPXD18fCtPOMDO9Ofj5Wvn/DaH6XuoX/ez6Dx++dhf8FjD4XERHv5ZX/V/fE5h/ncnra\n1dghUYwdEuU6bjabuGxMX15dt58jlXVMHN4HH5vFU2UybWwsOTOP8eaGXP765i6OVtVxzbQBpIzu\n/DxvERHpXtr84xJzjIxxbRYyYdilfXZ9NjfPG8r6zELXOuP78qv4zQ+nMjQh3MOViYjI52nzj0ts\nYGyoa73w8V4Q2AF+Nm6eNxSAGeNiaWlt469v7vZwVSIi0hW8soVtFGazie9+dRQFR6vpFxno6XIA\nuHb6AKaN7UdYsB91jS1s2XeU/NJq1xQ1ERExJrWwL9L05Fi+ddVwT5fRQdipVv88RwIA76XlU3Ck\nmpffy6b11DKrIiJiLGph92CTRvQhIsSPdZmHXcupDksMJ/kSzxUXEZGLpxZ2D2a1mPnWVcNobPps\nnfH9h495sCIREblQCuwebs7E/gzpH+p6nV2gwBYRMSJ1ifdwZrOJh793GbUNzdz/9CfkFBzD6XRi\nMl36FdlEROTCqYXdC9j9bUSHBTAsIYyTdU2UVtR6uiQREekkBXYvMjyxfQGVp1bt4I7frufl97I9\nXJGIiLhLgd2LXD6pP2MGRbLzYAXF5TW88dFB2jTNS0TEEBTYvYifr5Vlt6dw9zfHMSIpnIamVnKL\nj9PS2sbxk42eLk9ERM5Dg856GZvVzOWTE/D1sbI3r4oHn/kUm9VMTV0zf7x7BgPjQr/8IiIicsmp\nhd1LJZ/aeayuoYXGplZa25ysScv3aE0iInJuCuxeKjDAhwVzBzNnYjzP/fxyosL8+XhbETv2l9PY\n3L7QSm19M4ePuL/1m4iIdB8Fdi92y9Uj+PHN4wkL8uOKyQnUN7by4LOf8vJ72TidTu7644fc+YcP\nOVGj59siIp6mwBYArpsxgJvnDcViNrE7t5LMvUcpO1YPdG450/c25/O3/+zG6dTocxGRruSVg85W\nrlxJcHAwkydPxuFweLqcXiHAz8bCK4eRufcIucUnSH1nr+u9/YePMywxHJPJRKC/7bzXeWXdfiqO\n1zN6UCSTR8R0d9kiIoaUnp5ORkYG1dXuP3b0ysBevHgxcXFxni6jVxrSP4yDRScoOHKS4Ynh7Muv\n4tX3c3hlXQ4A44dGc+eCsUSHBQBQ19DMhqwixg6Jwu5no+J4e6v8xXf2MXFYH8xmLYEqIvJFDocD\nh8NBUVERqampbn3GKwNbPGdoQhjvfJoPwFdnDKCyuoGyqrr29/qHkZVTxm9XZvKnH82kqOwkD69I\np7SyFrMJUsb0A8DHaia/tJoX3trDx9uKueOGMaSM7uupnyQi0iPoGbZ0MDShfflSf18rk0bEYLO0\n/ysyKC6EP9w1nYnD+3Cg8DgHCo/x+xe3UFpZyzxH+7zuT3aUALB4/gisFhNvbsilqrqBNz484LHf\nIyLSUyiwpYN+kXZSRvdlwdzB+NosfOsrwwgJ9OFHN43HZDIxz9EfgIdXpJNXUs2VUxJY+o1xzBr/\n2SOMqWP7ceWURNfrw0dP0tradql/iohIj6IucenAZDLx81snu15PGxvLtLGxrtcTh8cQbPfheE0j\nQ/uHcdu1IwGYNyWBNWn5hAb5Eh7sx63XjGDkgAi27y9nbXoB+w8fZ3hS+KX+OSIiPYYCWzrFZjXz\n81snU36sjunJcVhODSobFBfKtdMH0Cc8AJPJhJ+PlenjYrFaTKxNL2DjjmKGJYa59uFuam7Fx2bx\n5E8RETEUBbZ02sgBEUDEGce/d/3oM46NGRRFsN2H/248RNrOEhL7hZDUL5h/f5TLkgVjmTup/yWo\nWETE+PQMW7qV3d/GH++ewcThfWhtc7Jl31FeX3+AltY2nnx9Bx9tLdTzbRERN6iFLd0uJsLOQ9+d\ngtPp5JV1+0nfU8oVkxNYsXoXf/xnFm9tyuPb144kOiyAqDB/T5crIuKVFNhyyZhMJm6eN5Sb5w0F\n2hdheXHNPjZuL+b/PbUJgEkj+nD3N5MJCfT1ZKkiIl5HXeLiMX0j7dz3rQnc960JXD9zIMMSwsjc\ne5RfPpdGTV2Tp8sTEfEqCmzxKJPJxIzkOL7z1VH8ful0rpySwKHiEzz01zTqGpo9XZ6IiNdQYIvX\nMJlM/PDrY5kzMZ79h4+z7K+bqW9s4URNI/ml2pdbRHo3PcMWr2I2m7jrm8m0tLTx8fZi/vKvHVTX\nNrHjQDkrHriCiBANShOR3kktbPE6FrOJHy8cT3yfQDZuL2ZbThktrU42nVqrXESkN1Jgi1eyWsxc\nMTmBllYnbc72Yxu3F3u2KBERD1Jgi9eaNaF96VOzCQb0CyGn4BhHKmtp0UIrItIL6Rm2eK2wID9u\nvWYkra1thAX78tjL23juzV1k51cxIzmO739tNPWNLVRVNxAXHeTpckVEupUCW7za9TMHAtDc0sbK\nt/eSufcoAG9/kkffSDu7DlawNbuMFQ9crgFpItKjqUtcDMFmNXPNtAEAOEbGEBroS+rbe0nfc4SW\n1ja27y/3cIUiIt1LLWwxjOtnDiI82I+pY/qxaUcxj7+63fXe9gPl2vlLRHo0tbDFMGxWM3Mn9cfP\n18qcif0ZkRROQkwQoUG+bNl7lMNHqmk7PaRcRKSHUWCLIZnNJn79g6k8fs8sxg2Ooqa+mTv/8CHr\nMgpwOhXaItLzqEtcDMtiaf/75vxpSRwoPEZxeS0fbi3i3bR8LJb2Z96B/jYmDu/j2UJFRLpAtwZ2\nW1sbqamphIeHc/LkSRYtWtSdXye91LCEcJ75f5fz4+Ub2HOo0nU8p2ArAL9fMp3hSeGeKk9EpEt0\na5f4Bx98QHFxMXV1dYwYMaI7v0oEx8gYAEwmuPubyXx99iAA/r3hoCfLEhHpEm61sCsqKli+fDnZ\n2dmsWrXKdTwtLY21a9cSEREBwJIlSwB4/fXXycnJITo6mqioKG666Sa+973v8dxzz3XDTxBpN2VU\nX156NxvHyBgun9wfp9PJjgPlbN5dSkFpNQl9gz1doojIBXOrhZ2VlcXcuXM7HGtoaOChhx7igQce\nYMmSJezfv5/NmzcDsGDBAh588EEiIyMJDAwE0EAg6XaJfYP57Z3TuPubyUD7dp03XTEUpxMefj6d\nYycbPFyhiMiFcyuw582bh91u73Bs27ZtxMbGYrW2N9LHjx/Phg0bOpxz5ZVXkpuby+uvv87s2bO7\nqGSRcxs5IILAAB/Xa8eoviy8chhlVXU88rd0Vn+cy7acMg9WKCJyYS540FlVVVWHELfb7VRWVnY4\nx26384tf/KLT1/5iax7au9uXLl3a+UKl17vpiiEcraplfWYhBwqPY/e38cIv5uHv2/6vv9PpxGQy\nebhKEenpnnjiCZ588skL/vwFB3Z4eDg1NTWu17W1ta5n2Rdr/fr1xMXFdcm1REwmE3feOI7IEH9y\ni0+wZd9RPsg8zJxJ/fnXBwf476ZDXDUlkcXzR2A2K7hFpHssXbr0jIZnUVHRWRupZ9OpwP78c+jk\n5GRKS0tpbm7GZrORlZXFwoULO3M5kUvGZjXzra8M59jJBm57ZB3/eDeb19bvp6q6EZMJ3vjoICYT\n3HrNSE+XKiJyVm49w87MzGT16tVUVFTwzDPP0NTUhJ+fH8uWLeORRx7h8ccfZ+jQoUyZMqW76xW5\nKGFBfiyePwKn00lNXTPfvHwIzz84j7AgX9amF9Dcor22RcQ7udXCnjRpEpMmTTrjeEpKCikpKV1e\nlEh3un7mQL46fQBtTifWU6ulzUiOY/XHuTy1ajuD4kKZPzVJz7VFxKt45dKkK1euJDg4mMmTJ+Nw\nODxdjvRAZrMJM58F8qwJ7YG9PrOQ9ZmFlFbW0trqZP7UJOL7BHmwUhHpidLT08nIyKC6utrtz5ic\nXjRB+vTDdw06k0vN6XSy7K+bqWtopqSiluraJgB8fSxcP2Mg10wbQLDdhyNVtTQ3t2kRFhHpEp3J\nPa9sYYtcaiaTiV99r/3xTnZBFR9kFpIQE8RL7+Xw6vv7WZOWT0igD4VH22dG/PbOaYwc0DWzIkRE\n3KHAFvmCYQnhDEto3yxk7qT+rEnL5x9r9lFT38z4odFk5ZTxwlt7qDzRwDcuH8JXUhI9Wq+I9A4K\nbJHz8PO18rVZg5g6ph9OIDrMnx/9aQM5BccA+Od72cydGI/Naqa5pQ0fm8WzBYtIj+WVga1BZ+Jt\nosMDXH++buZAHns5i5iIAI5U1vHUqh3sP3yMmrpmnvrpHILtPue5koiIBp2JXBJOp5Pi8hoC/Gzc\n/uv3aWpudb333etGcd2MgR6sTkSMRIPORLqRyWQiLrp9qtef751FaUUtgf427n/6E97elEfF8XqO\nVTcyKD6EQXGhxEYFEhbs5+GqRcToFNgiFyE2KpDYqPYtZC8b05ePtxXz5oZcADZsKwIgIsSPexdO\n4Nl/78S+aIqJAAAUKUlEQVRiNnPngrEM6R/msZpFxJgU2CJd5NvXjCS+TxAjksKJDPVnx4EKNmQV\nsedQJX96OYuK4/UAfLClUIEtIp2mwBbpIpGh/tx0xVDX636RgUSH+bPnUCUVx+uJiw6krKqOvXmf\nbUO7//Axtu8v58Y5g7VTmIicl1cGtkaJS08xZlAk/r5W6htbmDMxnqycMnbnVrL00Q/x97VScKSa\nuoYWhvQPZdyQaE+XKyKXyIWMEvfKwF68eLFGiUuPYLNaSBnd/mx7RnIcDU2t7M6tJL+043+kqz44\nwAtv7WVwfChTx/Qjr+QEeaXVRIX68/XZg7H72zz0C0SkOzgcDhwOB0VFRaSmprr1Ga8MbJGe5Ac3\njOHmeUPpEx7A8MRw1/Ff3ObAajWz/OUsdhyoAOBQ8Qne21zQ4fMbtxfz4G0OEmKCOVHTiMlkwmyC\n3YcqmTwihn35VST1CybA7+yhXlXdQICvFT/f9v/cW9ucWNT9LmI4CmyRbubnayXmVFiOGhDB0P5h\nzJ0Uz+SRMQBMHduPtzblMWt8HLMmxLHnUCWhgb5MHhnD2vQCXl9/gJ89sZErpyTyzqd5BNl96BMe\nwO7cSkYkhbM3r4r4PoEsvnoEif1C6HNqkZeW1jaeeWMn69ILGBAbwu+XzmDj9mKeWrWD3y2ZxsDY\nECqONxAS6KMV2kQMQAuniHhYVXUDaz7N5/qZA8/a9f3R1kL+/Np2mlvazvp5H5vFtXiL1WJm4ZVD\nuXHOYNak5fOXf+3E39dCfWMrC+YO5mDhcbbtL2fUwAhO1DRRePQkESF+3L94EgPjQjlYeJyhCWGu\nvcArT9RTXdtEUr+Qc9bvdDoveu/wo1V1+PtatUqc9DpaOEXEQMKD/Vh01bBzvj9rQjzjh/VhV24F\ncdGB/N/zGRytquWHN47l423F/M/VwzlW3UjBkWrWfJpP6jv7KDtWT+beI/j6WFh+zyx+8Wwa//4o\nl9O5uju3faT6mEGR7M6t4BfPfsrIAZFs2XeUO742mvnTBlBT18RPHv+YyuoGrp02gL6RduZMjKep\nuY3AgPa/WKxYvZu0XaX86KZkkoeeOWguu6CKV9ft59ZrRpAQ03FL0uaWNrbvLyMuOoi7//QhSf1C\n+N2S6UB7t/22nDKGJYYTqOf3IoBa2CKGc7SqjsoT9YxIOnN7z+MnG/n5Xza5tgH9+uxB3HrNSN7+\nJI9n3tgJwIB+IeSVnuDa6QO4/brRfLDlMI+9vM11jUB/G7/6XgqvrttPxt4jHVrwkSF+VJ1sJKlf\nMP6+VlfwW8wmvvPVUVwzLcnV2i48epKfPbmRk3XNjBoYwa9/MBWTycSh4hNs31/GzoMVbM0uc/UA\nAHzrK8MoKqvBYjaxPrOQYLsPM8bFMntiPEP6h1FT30xx2UkGxYVisZhdNVfXNpFdUMWk4X0uurUv\ncil1Jve8MrBvueUWTesSuUDVtU18urMEk8nErAlx+Nos1De28O2H36O2oYWHv5fCgNgQQgJ9gfYu\n7Sde207arlKmj4tlTVq+61rDE8N54NuT2Zdfxfb95bz9SR7Bdh+qa5sASBndlyunJPDYy1mcqGli\n2th+2KxmGppa2ZtXyYmaJtcmKV+fPYjZE+JZtmKzaxGZ01PefKxmmr7Q5R8dHsDJ2ibX+5NHxrB5\ndyktrU6iw/wZ3D+MlFF9mTYulvuf2sS+/CoWXjmMm+cN5cu0tjkprajBx2rpsLGLyKXy+Wldqamp\nxg1stbBFut5/Nx4ibVcpy26fctZBZk3NrVgtZj7YcpidBysYHB/GVSkJ2KyfnVtSUUN0WADrMwux\nWc3MnhCHyWSi8kQ9v0vdwr78Kte5JhP84OtjGZEUzn1/3kh9Y4vrvVkT4hgYG8rsCXG88eFBpozq\ny8N/20xNfTPXzxxIaUUt371uFGHBfmTuPcIfX8qipbWN2KhABseH8umuUlerPzrMn7Jj9a5r37tw\nPL4+FlpanbS1OWlqbmVQfCiJfYMxmUy0tLbx86c/YV9+FT42C3/52RyiwxTa4hmGb2ErsEWMp6W1\njbc25dEn3J+46CAam9qDEtpb/Zt3l/LiO/sIDLDx2I9n4ufTcQjNtpwyauqamZ4ce8a19+VVUX68\njqljY7GYTbS2tlFSUcsra3PYtLMEX5uZn90yid+/uIW6hpYzPg8QFuRLWLAf4cF+bNl3lL6Rdkor\narkqJZE7bxwLtHfjP/HadnIOH6NvhJ0Hvj2Z+D5BXXynRD6jwBYRr9Tc0kab04lvF04jO3aygZYW\nJ1Fh/mTllPHblZmMHxrN8KRwTCbwsVrYk1fJ7txKTtQ00tzSRrDdh6fum8PPntxIaWUtUWEB3DBz\nIKlr9lHX0EJSv2DySqoJDfLlD0unk1dSzfDEcEKDfF3fW9fQzItr9nHsZCONTa2MHhjJ9TMHaolZ\n6RQFtoj0WudbGKa2vpn3NhcwLDGMEUkRbNl3lJVv76W4vMY1be7OG8dyVUoi//k4l7+u3k2An5W6\nhhaGJoSxdME4couPk9g3hE92lvDa+/s7XH/CsGiunT6ACcP6nLO+YycbePbfu7hu+kCGJ4Wf8zzp\nHTStS0R6rfOt4mb3t3HD7EGu1xOH92Hi8D6k7y7lNyszmTMxnqtSEgH46oyB5JVU837mYSxmEzkF\nx1j6xw853cSxWc2EBvrypx/NxGSCR1/aytbsMrZml3HN1CT25lcRFuRLUr8Q4vsEMmpAJFFh/vz5\n1e1s2XeU8mN1PHrXDI1qF7ephS0iAtTUNWH3t3UI0OaWVjbvOkJ8TBD3/fljbFYzN84Zwn835lJx\nooFvXzPS9RcAp9NJdv4xHnk+nZN1TZhN0PaF/7uGB/tSVd3oei+xbzCRof78/NZJmM1mDhw+1mHh\nGun51MIWEemkwIAzV1mzWS2uQXBP/GQ2/r5WQgJ9mTk+lm05ZcyaEO8612QyMTwpnF9+18G/PjjA\ngrlDiArzp6S8lkPFJ/h0VwkFpSeZMS6WqWP78ZuVmeSXVpNfWs3yl7fh52tlbXoBi+eP4OrLEikp\nryUs2Jem5jaycsqYPSGuw3rxhUdPcqj4BDOSYxXwvYRXtrA1D1tEejKn08mHWwsJtvvyyroccgqO\nud6z+9vA6aS2oQWz2YTVbKKppY2QQB+CAnwIC/JjzOBI3tp0iBM1Tdy7aAKzxqtH0mg0D1tExGAa\nGlt4ZV0Ou3IrSIgJZl1G+zPzeY4EsguqqDzRwGVj+rFxezFmk4mTdU2uz5rNJgL9bTx532zCgvzY\nc6iShqYWxg6Owvq5leDEe6lLXETEIPx8rdx6zUigfaqYxWLGMTKGicPbR5q3tTkxm02uueI1dU28\nu7kAH6sZJ+3ruf/6hQz6xwSzNr19a9aYiAB++Z0pHeaQV9c2YTGbtLe6gSmwRUS8RICfzRXMp31x\nXndggA83zhkMtHet7y84xsfbi8kuOEb/mCCGJ4bz3uYC7ntiI7dfN4qSilqiw/z523/2EBnqz5/v\nnaXWt0EpsEVEDMpkMnHXTcmMGBBBZIgf44ZG42uzMCIpgide28byV7Z1OL/w6EkeXrGZppY27l04\ngeaWVvqEB2CxmPlgSyGf7CghwM/KD74+xjXAraGpBR+r5awLwhyprKW5pU2rwV0iCmwREQPztVmY\nPzWpw7E5E+OJCvPn7U/ymDgsmqyccoYmhJH69l627S8H4K4/fkhNfTMjksKJjQpkXcZh1+f9/axc\nO20Aj760lUPFJ4iNsvPd60ZTUt6+C1zy0GhCg3y5Z/nHNDa18OjdM867Z7p0DQW2iEgPNHpgJKMH\nRgJw+eQEAELsPhwqqeZETSMfbCkkPNiPvXlV7M2rol+knftvncwf/rGFNZ/m815aPm1OGNI/lP2H\nj/OrFZs7XD8qzN81AO53qZn8ZNFE/vCPLdy5YCyD48PYl19FsN2HQXGhl/R392QKbBGRXmLWhHhm\nTWhfvvXaaQNIig1hW04ZJlN7wPvYLNxz83j+8sZOzCYT104bwPTkWN7POMzuQxWMGxJNa2sb6zIO\ns+dQJX0j7YweGMna9AIeeX4zVdWN/OVfO6lraKGqugGb1cwTP5lNbFSgp396j6DAFhHpZSxmk2sn\ntdOj0U8bGBfKo3fN6HDs8sn9uXxyf9frORPj2XOokujwAJxOeD+jgKrqRgCKytq7zSePiCFj7xGe\neG07v/7BVG2K0gU0VFBERDrFZDIxamAk0WEB9AkPIGV0PwBumDWI0CBfrpmWxIO3TSZldF/2HKrk\nvc35ni24h/DKFvbKlSu10pmIiEHcfv0ohvQP5drpA7nl6uFYTk0bu+OGMew8UM4Lb+3lsjH9CAn0\n/ZIr9R6fX+nMXV4Z2IsXL9ZKZyIiBhER4s8NswefcTw82I87bxzH82/tobGp1QOVeS+Hw4HD4aCo\nqIjU1FS3PuOVgS0iIj3D9ORY1wYqcnH0DFtERMQAFNgiIiIGoMAWERExAAW2iIiIASiwRUREDECB\nLSIiYgAKbBEREQNQYIuIiBiAAltERMQAFNgiIiIG4JVLk2rzDxER6cm0+YeIiIgBXMjmH+oSFxER\nMQAFtoiIiAEosEVERAxAgS0iImIACmwREREDUGCLiIgYgAJbRETEABTYIiIiBqDAFhERMQAFtoiI\niAEosEVERAxAgS0iImIACmwREREDUGCLiIgYgAJbRETEABTYIiIiBmD1dAFns3LlSoKDg5k8eTIO\nh8PT5YiIiHSp9PR0MjIyqK6udvszXhnYixcvJi4uztNliIiIdAuHw4HD4aCoqIjU1FS3PqMucRER\nEQNQYIuIiBiAAltERMQAFNgiIiIGoMAWERExAAW2iIiIASiwRUREDECBLSIiYgAKbBEREQNQYIuI\niBiAAltERMQAFNgiIiIGoMAWERExAAW2iIiIASiwRUREDECBLSIiYgAKbBEREQNQYIuIiBiAAltE\nRMQAFNgiIiIGoMAWERExAAW2iIiIASiwRUREDECBbVBPPPGEp0swDN0r9+g+uU/3yj26T12rWwP7\n3//+N/fffz8PPvggCxYs6M6v6nWefPJJT5dgGLpX7tF9cp/ulXt0n7qWtTsvPnXqVL72ta9RW1vL\na6+91p1fJSIi0qO5FdgVFRUsX76c7OxsVq1a5TqelpbG2rVriYiIAGDJkiUAvP766+Tk5PDTn/4U\ngP/85z9cc801XV27iIhIr+FWYGdlZTF37lyys7NdxxoaGnjooYd45513sFqt3HXXXWzevJkpU6ac\n0f1dWVlJVFRU11YuIiLSi7gV2PPmzSMjI6PDsW3bthEbG4vV2n6J8ePHs2HDBqZMmdLhvI8++ogZ\nM2a4VUxraysAR44ccev83q6oqMjTJRiG7pV7dJ/cp3vlHt2n8zudd6fz73wu+Bl2VVUVdrvd9dpu\nt1NZWXnGebNmzXL7muXl5QAsWrToQsvqVebOnevpEgxD98o9uk/u071yj+6Te8rLy0lISDjvORcc\n2OHh4dTU1Lhe19bWup5lX6hRo0bx0ksvERUVhcViuahriYiIeLvW1lbKy8sZNWrUl57bqcB2Op2u\nPycnJ1NaWkpzczM2m42srCwWLlzY+Wo/x8/Pj4kTJ17UNURERIzky1rWp5mcn0/hc8jMzOTNN99k\n06ZN3Hzzzdx22234+PiQlpbGmjVriIiIwGq1cuedd1504SIiInImtwJbREREPEtLk4qIiBiAAltE\nRMQAunVp0s4416ppcqZzrTwnnyksLGT58uWMHDmS0tJSQkNDNcbiHJxOJ3fccQdjx46lqamJwsJC\nfvOb3+Dj4+Pp0rxSY2MjCxYsYNq0aa7VHOVM3/zmN/H19QXAYrHwwgsveLgi75SXl8fbb7+Nr68v\nW7ZsYcmSJYwePfqs53pFYJ9v1TQ509lWnpOOjh8/zvz585kzZw4A8+fPZ/bs2YwYMcLDlXmn5ORk\n7rjjDgB++MMfsnbtWi0nfA6n/yIo5zd9+nQ1vL5EW1sbv/3tb3n22WcB+NrXvnbeKc1eEdjurpom\n7c628px09MW/oTqdTvz9/T1UjXczmUyusG5paeHo0aMkJSV5uCrvtHr1aiZMmEB2djZ1dXWeLser\n7d+/nxUrVtDQ0MDo0aOZOXOmp0vyOrt27cLpdPLiiy9SX19PaGgo3/jGN855vlcEtrurpolciPff\nf59p06YphL7Epk2b+Pvf/87s2bPVgjyL3NxcDh06xI9//GP1brnh9ttvZ/To0bS1tbFo0SLsdrvW\n2fiC4uJiduzYwWOPPYbdbue+++7Dx8eH66+//qzne8Wgs+5YNU0EID09nfT0dH7+8597uhSvN23a\nNFasWEFhYSEvv/yyp8vxOuvWrcPX15fnnnuOrVu3smvXLlJTUz1dltc63ctlNpuZOHEi6enpHq7I\n+wQGBpKUlORqsE6YMOG898krWtjdsWpab6Ap9Of30UcfsXXrVh544AHKysooKSlh3Lhxni7L6+Tm\n5lJUVOTqsoyLi6OwsNDDVXmf048NAJqamqirq+OWW27xYEXe69ChQ2RlZXHjjTcCUFBQwBVXXOHh\nqrzP2LFjOX78OE6nE5PJRElJyXl7Ai3Lli1bdunKOzur1cqgQYP429/+xs6dO4mOjuaGG27wdFle\nKzMzk9WrV5OdnU1jYyNjxozR2utfsGfPHr7//e/jdDp54403+M9//kP//v0ZNmyYp0vzOrW1taxY\nsYKCggLS0tI4dOgQP/rRjwgICPB0aV5p7dq1vPfee5SUlODv78/gwYM9XZLXaW5u5sUXXyQ/P58P\nP/wQu93Od77zHU+X5XX8/PyIiYnh5ZdfZteuXVRUVHD33Xef8//nWulMRETEALziGbaIiIicnwJb\nRETEABTYIiIiBqDAFhERMQAFtoiIiAEosEVERAxAgS0iImIACmwRERED+P+iUvyPDqaS2AAAAABJ\nRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#rr2 = rr\n", + "#stds2 = stds\n", + "\n", + "#contrast = stds / image_ref.max()\n", + "#sig_lim = 5 - 2.5*np.log10(contrast)\n", + "#plt.semilogy(rr, contrast)\n", + "plt.semilogy(rr, stds)\n", + "#plt.ylim([1e-10,1e-7])" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5.00477352934 23.3152153582\n" + ] + } + ], + "source": [ + "star_mag = obs.effstim('vegamag')\n", + "sig_lim = star_mag - 2.5*np.log10(contrast)\n", + "\n", + "sens_mag, _ = sci.sensitivity(units='vegamag', nsig=nsig, ideal_Poisson=True)\n", + "sig_lim_true = sens_mag['sensitivity']\n", + "print(star_mag, sig_lim_true)" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 118, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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vEAQBSVF+aO80oKTS8u1dJpMZH+8uh1wm4I5p4695/NTYAEwI8cD+ozUoOzPwPJ99ewp1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\nAaiVwGwGyJ4MAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#rr2 = rr\n", + "#stds2 = stds\n", + "\n", + "#contrast = stds / image_ref.max()\n", + "#sig_lim = 5 - 2.5*np.log10(contrast)\n", + "#plt.semilogy(rr, contrast)\n", + "plt.semilogy(rr, contrast)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "bp_k = S.ObsBandpass('k')\n", + "sp_sci = pynrc.stellar_spectrum('A0V', 5, 'vegamag', bp_k, catname='ck04models')\n", + "\n", + "teff = 6000\n", + "logg = 4.0 if teff >= 6500 else 4.5\n", + "sp_ref = S.Icat(catname, teff, 0, logg)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([9900, 9800, 9700, 9600, 9500, 9400, 9300, 9200, 9100, 9000, 8900,\n", + " 8800, 8700, 8600, 8500, 8400, 8300, 8200, 8100, 8000, 7900, 7800,\n", + " 7700, 7600, 7500, 7400, 7300, 7200, 7100, 7000, 6900, 6800, 6700,\n", + " 6600, 6500, 6400, 6300, 6200, 6100, 6000, 5900, 5800, 5700, 5600,\n", + " 5500, 5400, 5300, 5200, 5100, 5000, 4900, 4800, 4700, 4600, 4500,\n", + " 4400, 4300, 4200, 4100, 4000])" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "teff_arr" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "bp_k = S.ObsBandpass('k')\n", + "\n", + "f = fits.open('/Volumes/NIRData/IRTR_Spectral_Library/All_fits_091201/' + 'F4V_HD16232.fits')\n", + "hdu = f[0]\n", + "hdu.data.shape\n", + "mask = np.isfinite(hdu.data[1,:])\n", + "wave, flux, errf = hdu.data[:,mask]\n", + "sp = S.ArraySpectrum(wave, 0.1*flux, name='F4V', waveunits='um', fluxunits='flam')\n", + "sp.convert('Angstrom')\n", + "sp1 = sp.renorm(5, 'vegamag', bp_k, force=True)\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "f = fits.open('/Volumes/NIRData/IRTR_Spectral_Library/All_fits_091201/' + 'F4III_HD21770.fits')\n", + "hdu = f[0]\n", + "hdu.data.shape\n", + "mask = np.isfinite(hdu.data[1,:])\n", + "wave, flux, errf = hdu.data[:,mask]\n", + "sp = S.ArraySpectrum(wave, 0.1*flux, name='F1V', waveunits='um', fluxunits='flam')\n", + "sp.convert('Angstrom')\n", + "sp2 = sp.renorm(5, 'vegamag', bp_k, force=True)\n", + "f.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "7970 0.0 3.12\n", + "7970 0.0 3.12\n" + ] + } + ], + "source": [ + "sp_mod1 = pynrc.stellar_spectrum('F4III', 5, 'vegamag', bp_k)\n", + "sp_mod2 = pynrc.stellar_spectrum('F4III', 5, 'vegamag', bp_k, catname='ck04models')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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ny79+uVo+tuU9ec9vk4z7lP738x+hcqGu2Nhm/rUU+eTGyfLxHe/LJzdMkQvzs+65n3qD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\ncbVBsZviRk0AAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sp1.convert('um'); sp1.convert('Jy')\n", + "sp2.convert('um'); sp2.convert('Jy')\n", + "sp_mod1.convert('um'); sp_mod1.convert('Jy')\n", + "sp_mod2.convert('um'); sp_mod2.convert('Jy')\n", + "\n", + "sp_mod3 = bin_spectrum(sp_mod1, sp_mod2.wave)\n", + "sp3 = bin_spectrum(sp2, sp_mod2.wave)\n", + "\n", + "#plt.plot(sp1.wave, sp1.flux)\n", + "plt.plot(sp2.wave, sp2.flux, label='Sp Template')\n", + "plt.plot(sp3.wave, sp3.flux+0.3, label='Sp Template rebin')\n", + "plt.plot(sp_mod2.wave, sp_mod2.flux+0.2, label='CK04 Model')\n", + "plt.plot(sp_mod1.wave, sp_mod1.flux, label='Phoenix Model')\n", + "plt.plot(sp_mod3.wave, sp_mod3.flux+0.2, label='Phoenix rebin')\n", + "plt.xlim([3,5])\n", + "plt.ylim([1.4,4])\n", + "\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "9500 0.0 4.0\n", + "7650 0.0 4.0\n" + ] + } + ], + "source": [ + "\n", + "\n", + "bp_k = S.ObsBandpass('K')\n", + "sp_sci = pynrc.stellar_spectrum('A0V', 5, 'vegamag', bp_k, catname='ck04models')\n", + "sp_ref = pynrc.stellar_spectrum('A8V', 5, 'vegamag', bp_k)" + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "psf_sci = sci.gen_psf(sp_sci)" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "\n", + "psf_ref = sci.gen_psf(sp_ref)\n", + "\n", + "scale = psf_sci.sum() / psf_ref.sum()\n", + "psf_ref *= scale\n", + "\n", + "diff = psf_sci-psf_ref" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.999043619982 3.97960052676\n" + ] + } + ], + "source": [ + "print(scale, diff.max())" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "reload(nrc_utils)\n", + "reload(pynrc)" + ] + }, + { + "cell_type": "code", + "execution_count": 221, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "7250 0.0 4.0\n" + ] + }, + { + "data": { + "text/plain": [ + "(1.5, 3)" + ] + }, + "execution_count": 221, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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7U1iLzzMZG0P1YElTy/rUusHHD489/HVCTHCr248deh5l5wwioLqB4dXfArB4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\nmVd7NAZzkGQthBDCZBorNQ2N96mrb3z4u4b79ui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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "sp = pynrc.stellar_spectrum('F0V', 5, 'vegamag', sci.bandpass)\n", + "sp.convert('Jy')\n", + "sp.convert('um')\n", + "#plt.plot(sp.wave, sp.flux)\n", + "\n", + "for mod in ['phoenix', 'ck04models', 'k93models']:\n", + " sp = S.Icat(mod, 10000, 0, 4.0)\n", + " sp = sp.renorm(5, 'vegamag', sci.bandpass)\n", + " sp.convert('Jy')\n", + " sp.convert('um')\n", + " plt.plot(sp.wave, sp.flux)\n", + "\n", + "\n", + "plt.xlim([3,5])\n", + "plt.ylim([1.5,3])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 314, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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+HY8QpUWyrmLRt+MRojTpc95V2mdyhRCF4+Pjg4uLC+np6dja2uYYIe9JoaGh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CCQk301TfJV3XVN/F2ncL2fDhMVKz0jFdHkPQ0jnSeZVRjGVjw8OozGb0LnH8jylZFMK6sFAU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\ngbHRMabNiORgfiHlJW6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TtVXtJx3FcTKcoWaWXpCKI9hIcnqYJHKtdgN6g0bKGAMolAI5\neVEICoFD+TUcLxYXl5fdMJ0De6rpaOsjISWY6oo2qo6L/b6+xCc7uePr38Td0shLL710Rp/7PxE5\n1snIBJI9M5IDe2uksWpTkZnrmvT46HgMmixze81tefT1DTE0OIJOr8Z4Cs6ik82zBNHcr6ujn9qq\ndswWnVQFY7bq2LlJNMhacn4qFaVuLDY9Q4MjNNR2UFfdTl11u9+zYhMdXHzhdXR1t8ixTkbmK4Ld\nYeDSa3OnPK83/H/27jyuqjr/4/jrXna47AjIKuJyVUDJhUwN0WzKXGrSqDFzqrHRrGlm0hat1JrG\nKSdrXFocS9NxKn81ltqm488f5hKKqKCyCYLsKPu+nt8fxE0CEVnuhcvn+Xj4eHDP9v2ew+Ht/Z7l\n+zXn7l8HcjWvjEtJVxk7YUCz+Te6QAcweJibrtM+JxebZn0d2Ds2vlPs6mGra5g+vXwq2zYdpbS4\nCjNzE0Im+VFSVEVMdAb89PVu/GR/hgx3IzujiMRrhqRs6svAy9eR+voGsjOKmz3Vd/5MFmNu8+Wp\np54iMzOzU1nXaxu5Qoiud/d9ATi52DA+dGCntzVxasuu35uG3Gh6HK++vgFbO0vdF81+bra6Rm5A\nsGezL6j19Q0kXcjF3MKU+voGykqqOXc6k5TEq/xnZzS339X6l1khhPG5Z24Qt985BEfnjl2Qa7q7\n4ezScn0zc9NWHwtsS2vvAQN4+jiSlpzf2Mi1/7mxPGS4Gz9GpGBrZ8mkOwYz6Y6f87K+roHTJy7j\n6GxNQ4PClZxS/rsvjtSL+aRePEZZRcunXIQQfdv0+wMpKmi8KXAtpZ093029R4u9gyXawP7NLuzZ\n/9Rb9Ohbfcm6XITG1gIHJ6ufH6O2s2TK9GEAXIzPo6K88b3epl6gvXwddY3c3y65jZ3/jKS2pp7x\nkwdSVFhJdkYxlRW13HKrD7eG+vPF9lNEHUsjaIw33Lh93iZp5AohdCwszbh9WuuPxHSFpk5dVCoV\nNhpzSoqrml0xDL7Vl8gjl5gxJ6jFuiYmarSBzYdFGjnWm483HeViXB6xZwwzpIYQQv9MTU063MCF\nxrsMVZW1hEzq/AU9AI1d63d7XfvbMmX6MEqKq5j+60DddF9/Z2aFj8LXv+WdaBNTNWNuG6D7PHiY\nGxXlNRw7lNwldRVCGB/nfppWO7kapHXF0sqMKdO1ba5vamrSaudXTR2RagP7M2SEOypV0/i9jRcK\nrx3j18bWQtfIbWooe/k66ub7DHRm0dLJJMXlog3oz5XcUg78NG/azBFYWJoydcYw/v3PSE7/eJng\nCW0/qXMj0sgVQuhNU+dU8PNjgte+I+LqbsvyNdN178vdiFqtIuT2gaSnnqK+vvUeBoUQ4pfMzEy4\nc1bHx+j+JWvr5j2YBo/zYeo9WkxM1Dg6W/PoUxOazVepVIwa5017ubh23XjqQoi+w1pjwXN/ueum\n1wt/bGyLnptb68Pg2v4ObDQWXKFxzF4b28ZM9PB2ABr7OoDGx6/H/dTbcj93W6beMwwPHwddJ4L+\nQ/rh4GTFuTOZBIx1uOl6X0sauUKIbjfzgZEcOZjEoGGuLeb9shdR03a8P3ItbYA7E6YMwsy6iq/+\nt1PVFEKITnNwsmLStMFYt+Nd3vZycWvfMCRCCNEVho5wb3O+rqPSaxq+mmt6em4aAs7cwpSlq+/E\nzKJlk1OlUjFhyqDm09QqAoI9OXLwIh+si+hw/UEauUIIPQgO8SE4xKfZtJ97cu7cttUmaqbeM6zT\n46kJIURHDQ1wp7+XPROmDGL4SI8u376L68+N3KnTtXJBTwhhUE3f4a4dhq214YyAm77gN2JUYyO3\nob597xNfjwzEJoQwiKb3NK43nJEQQvQWllZmLPzT7d3SwG3afpMR1+kxWggh9GX85Mb3dyde02ne\ntcMVdYZrf1t8Bjrh7mnfqe302ju5Mp6aEL3bzAdG4TfYheBxPjdeuA2RkZEydqQQwuhNmu7M2Zgz\nfPxxjKGr0i0k64ToPQYPc+OlN+9Bfc0rZ629s9sRJ06coKQ+mgpknFwhRC9kYWnK6PEDOr2dkJAQ\nQkJCyMjIkLEjhRBGK2zqbYRNvU2yTgjRI6hNuueB4Gu/1+3Y0fGsk8eVhRBCCCGEEEJ02Khx3ri4\nagh/bKyhqwL04ju5QgghhBBCCCEMz0ZjwZPPhxm6GjpyJ1cIIYQQQgghhNGQRq4QQgghhBBCCKMh\njVwhhBBCCCGEEEaj176TK13NCyFAhhASQvQNknVCiL6gq7Ku1zZypat5IQTIEEJCiL5Bsk4I0Rd0\nVdbJ48pCCCGEEEIIIYyGNHKFEEIIIYQQQhgNaeQKIYQQQgghhDAa0sgVQgghhBBCCGE0pJErhBBC\nCCGEEMJo9NrelaWreSEEyLAaQoi+QbJOCNEXdFXW9do7uQsWLODpp5/u00G4YcMGQ1fB4OQYNOrL\nxyEkJISnn36aBQsWGLoq3UKyrm+f303kGDTqy8dBss749eXz+1pyHPr2MeiqrOu1jVwBGzduNHQV\nDE6OQSM5DsKYyfktx6CJHAdhzOT8biTHQY5BV5BGrhBCCCGEEEIIo9Htjdzjx4+zevVqNm7c2OpV\niZqaGl577TU2b97MihUrSE1N7ZZ6REZG9th1OrOePsrpyet0hD5/R8Z2HIzxb6Kr9LWs03dZ+iin\nJ6/TUT15n4ztXNB3WYbSm7Ouo+v15N9rT94fybqOr9MRknXNdWsjt6qqipUrV7JixQqeeuopEhMT\n+fHHH5sts23bNjw8PHjiiSdYsGABK1as6Ja6nDhxoseu05n19FFOT16nI/T5OzK242CMfxNdoS9m\nnb7L0kc5PXmdjurJ+2Rs54K+yzKE3p51HV2vJ/9ee/L+SNZ1fJ2OkKxrrlt7Vz59+jSenp6YmjYW\nc8sttxAREcGtt96qWyYiIoI///nPAAwZMoSEhATKy8uxsbFpdZv19fUA5OTk3FRdSkpKyMjI6JHr\ndGa9nrpP+jx2Pfl3ZGzHoSf/TTRlQlNG6FNfzDp9l9VTz9WefAw6WlZPXgd67rmgr7Ik6xr15N9R\nR9eBnnt+6/MYgBwH6LnHQF9ldTbrVIqiKB1asx2+/vprvv32W93jLP/zP//DyZMnefPNN3XL3HXX\nXbzzzjtotVoAQkND+de//oW3t3er24yKimLevHndVWUhRC+3c+dOxowZo9cyJeuEEPomWSeE6As6\nmnXdeifXycmJsrIy3efy8nKcnZ2bLePi4kJ5ebnuc1lZGU5OTtfdZkBAADt37qRfv36YmJh0faWF\nEL1SfX09V65cISAgQO9lS9YJIfRFsk4I0Rd0Nuu6tZEbHBxMdnY2tbW1mJmZER0dzW9+8xuKi4sx\nMTFBo9EQGhrKmTNnGD16NAkJCQwbNuy6j7QAWFpa6v3KpRCid/D19TVIuZJ1Qgh9kqwTQvQFncm6\nbn1cGRp74fv2229xdnbG1NSUJUuWsHbtWhwcHFi4cCHV1dW8+eabuLi4cPnyZRYtWmSw8BZCiI6S\nrBNC9AWSdUKI3qDbG7lCCCGEEEIIIYS+dPs4uUIIIYQQQgghhL5II1cIIYQQQgghhNGQRq4QQggh\nhBBCCKPRrb0rd4aiKCxatIiRI0dSU1NDeno6a9aswdzcXLdMTU0Nb7zxBm5ubqSlpbFw4UIGDBhg\nuEp3g/Ych927d/Ppp59iYWEBwJw5c5g1a5ahqtxtqqurmTt3LhMnTuS5555rNq8vnAvQ9jHoK+cB\nQHh4uG4/TUxM2Lp1a7P5vel8kKxrJFn3M8k6ybomknU9d386SrLuZ5J1jSTvuifremwjFxq7ql+0\naBEATz75JPv372fGjBm6+du2bcPDw4PHH3+cxMREVqxYwc6dOw1V3W5zo+MA8Pbbb+Ph4WGI6unN\nO++8w4gRI1qd11fOhbaOAfSN8wBg0qRJPPXUU9ed39vOB8m6RpJ1jSTrJOuaSNb17P3pKMm6RpJ1\njSTvuifreuzjyiqVShcAdXV15Obm4ufn12yZiIgIRo0aBcCQIUNISEhoNgC5MWjPcQDYsWMHH330\nEZs2baK4uFjf1ex2X331FaNHj8bT07PV+X3hXLjRMQDjPw+aJCYmsmXLFjZu3EhERESL+b3pfJCs\nayRZ10iyTrLuWpJ1PXd/OkqyrpFkXSPJu0bdkXU9tpHb5MiRIyxatIiwsLAWVzny8/ObDTBuY2ND\nQUGBvquoF20dh3HjxvHEE0/w2GOPERAQwDPPPGOgWnaP5ORkUlJSuOOOO667jLGfC+05BsZ+Hlxr\n4cKF/O53v+PJJ5/k/fffJyoqqtn83ng+SNY1kqyTrJOs+5lkXc/fn46SrOvbWQeSd9fqjqzr8Y3c\niRMnsmXLFtLT0/nkk0+azXNxcWnWii8rK8PJyUnfVdSLto6Dp6cnjo6OAIwfP56TJ09iTMMfHzhw\nAAsLCzZv3sypU6eIjY1l+/btzZYx9nOhPcfA2M+DawUGBgKgVqsZM2YMkZGRzeb3xvNBsq6RZJ1k\nnWTdzyTrev7+dJRkXd/OOpC8u1Z3ZF2PfSc3OTmZjIwMQkNDAfDy8iI9PZ3i4mJMTEzQaDSEhoZy\n5swZRo8eTUJCAsOGDWvWyjcG7TkO69at45lnnsHExIRLly7h5eWFSqUycM27TtNjPdD44nlFRQWP\nPPJInzoX2nMMjP08aJKSkkJ0dDRz5swBIC0tjWnTpvXa80GyrpFknWQdSNZdS7KuZ+9PR0nWSdY1\nkbxr1F1ZZ7Jq1apVeqj/TSsvL2fLli2kpaVx/PhxUlJS+OMf/8iWLVu4ePEio0ePJiAggO+++44L\nFy4QERHB888/j4ODg6Gr3qXacxySkpLYvXs3iYmJ7N+/n2XLluHm5mboqne5/fv3891335GdnY2V\nlRXfffddnzoXoO1j0FfOg9raWnbs2EFqaiqHDh3CxsaGxx9/nA0bNvTK80GyrpFk3c8k6yTrQLKu\np+9PR0nW/UyyrlFfz7vuyjqVYoz3vIUQQgghhBBC9Ek9/p1cIYQQQgghhBCivaSRK4QQQgghhBDC\naEgjVwghhBBCCCGE0ZBGrhBCCCGEEEIIoyGNXCGEEEIIIYQQRkMauUIIIYQQQgghjIY0coUQQggh\nhBBCGA1p5AohhBBCCCGEMBrSyBUArFy5Eq1Wy8qVK3XT/vznP/P+++8DUF9fz5/+9CfmzZtHcnJy\nl5X773//m0mTJnHy5Mku2+YvTZkyhaysLN3n7777jrvuuosvv/zyhutqtVpWrVrF0aNHu6QuZWVl\nrFy5st3lCyG6lmRd6yTrhDAuknWtk6zrO6SRKwBYvXo1bm5uzJo1C4CGhgbOnTvHDz/8AICJiQmh\noaEsW7YMf3//Liv3N7/5DX5+fl22vfa46667CA4ObteyKpWKVatWMWHChC4pW6PRsHr16naXL4To\nWpJ1rZOsE8K4SNa1TrKu7zA1dAVEzzFx4kQOHz7M6NGjiYmJ4cEHH+Qf//gHZWVlaDQaYmNjmT17\nNvX19SxZsoSBAwdSU1ODg4MDixcvZsmSJZw/f57ly5dz991388ILL3D58mXeeecdXF1d+fbbbzl+\n/DgODg7k5uby3HPP4ezsjKIozerxy+WWLVvGgQMHePfdd7n77rvJzs4mKSmJ559/nrCwMAB27NjB\n/v37GTp0KFVVVRw+fJglS5ZQXV1NcXExGzZswNbWluXLl+vKuXDhAgcPHmyxLSGEcZOsk6wToi+Q\nrJOs69MUIX7y3XffKffdd5+iKIqyYcMGJTc3V3nooYeU7777TmloaFBeffVVRVEUpa6uTtm/f79u\nvSeeeEI5e/asUlpaqowbN04pLi5WFEVRNm/erMTHxyuKoijJycnKPffco1tn165dynPPPacoiqI8\n/PDDyokTJ2643AsvvKC88MILiqIoypEjR5Tw8HBFURQlLi5OmTBhglJdXa0oiqK8/fbbyvz583Xb\nCAsLU7Kysprt6/W29UtarbbFtMLCQmXZsmWKoihKeXm5snTpUuXs2bPK+vXrlc8++0z5/vvvlb/9\n7W/KN998oxw4cEB5++23dft3bfm7d+9utUwhRPeSrGtJsk4I4yNZ15JkXd8hd3KFzoQJE1i6dCn5\n+fnk5eXh6urKxIkTiYiIoH///gQEBACNj7hkZmayYsUKbGxsyMzMJDU1laCgICZPnszevXuZN28e\n8fHxLFy4EIDjx49TU1PDqlWrUBSFiooKamtrW9ThRss1PQ7i4+NDfn4+ACdPniQgIABzc3MAxowZ\nQ3R0dLPtKr+4qni9bbVHZGQkQ4cOBSA6OhpfX18qKytxdnamrKyMBx54gNLSUhITE3nmmWeoq6sj\nPj6esWPHtrsMIUT3kaxrH8k6IXo3ybr2kawzTtLIFToajYZRo0axZ88eHB0dAZg0aRJLlizB09OT\n8PBwAL7++mv27NnDf/7zHwBefPFFGhoaAJgzZw5//etfGTJkCOPGjWu2/QEDBrBq1Srd58rKylbr\n0dZyTYGnVqt1ZXZUR7cVGRnJfffdBzQG8fjx4wkJCeGTTz5h2bJlAJw5c4aHH34YgFOnTuneiRFC\nGJ5kXftI1gnRu0nWtY9knXGSjqdEM5MmTeK9995j4sSJAAQEBFBbW8vp06dxcXEBoKioCI1Go1vn\n2h7uxo4dS0VFBevXr+eee+7RTR8/fjznzp2joqICaHxvYs2aNS3Kb+9yiqLoruKNGzeOc+fOUVNT\nAzSGz7UsLS2pr6/n+PHj5Obmtrmt9oiMjGTw4MG6n/39/Tlz5gyZmZl4enoCkJiYqLsqGBsbi7u7\nO5cuXWp3GUKI7iVZd2OSdUL0fpJ1NyZZZ5xMVl17aUX0eTY2NnzxxRe88sorqNVqVCoViYmJ+Pn5\nMX78eAAGDhzI/v37OXToEGfPniUlJYW0tDSCg4Oxt7ensrKShoYGpk+frtuuo6Mj/fv359133yU2\nNpZTp06xdOlSvvzySw4ePEhOTg5jxozBy8ur1eV+/PFHdu/eTWZmJmPHjuWDDz7g3LlzWFlZMWXK\nFMzNzVm3bh1nzpxBpVJRVFTE7Nmzgcbw/vLLL4mNjWXWrFkcOXLkutsaOXJks+OxadMmnnrqKd3n\nq1evsn37duzt7cnJyaGqqorS0lKGDx9OVlYWoaGhlJSUEBMTw7Rp02hoaCAqKgoTExNCQkJ02zl4\n8CBeXl5otdru/HUKIa5Dsk6yToi+QLJOsq6vUik3c6lDiB7q+PHjurDeuXMn2dnZLF26tNPbHTZs\nGHFxcbrPX3/9NXl5eTz66KOd2u6LL75ISEgI9957b2erKIToQyTrhBB9gWSd6Cx5J1cYhU8++YRD\nhw4BUFJSwksvvdQl2x05ciRr1qwhLCyMW2+9lXPnzjF37twOb6+8vJx//OMfFBUV6d6PEUKI9pKs\nE0L0BZJ1orPkTq4QQgghhBBCCKMhHU8JIYQQQgghhDAa0sgVQgghhBBCCGE0pJFrZE6cOMFjjz3G\nI488wrx583jsscf48ssvqa2t5dixY9x7771otVrmz59Pfn4+GRkZTJ8+nUmTJvHGG28AUFNTw4sv\nvkh4eDhz5szh6NGjLcpJTU0lICCAkydP3rBOUVFR/O53v+ORRx7h4Ycf5qGHHmLLli2Ulpa2ud4T\nTzxx3e3/5S9/YezYsXz55ZftOCq928mTJ6murqampoaoqChDV0eIHk9yUAjRF0jWCdEGRRiNiIgI\nJSwsTLl8+XKzaSNGjFDi4uIURVGUyMhIRavVKg0NDYqiKEp2drby2GOPKdnZ2bp11q5dq7zwwguK\noijKpUuXlHHjxin5+fnNyvrTn/6kjBo1Sjlx4kSbdTp8+LASFhamXLp0STctISFBGTdunPJ///d/\nba5bVlbW5vyHH35Y2b17d5vL9FQHDhxQ3nvvPeWDDz644T6EhYUpQ4cOVW677TblwIEDeqqhEL2T\n5KD+3UyedWR5IURLknX6d7PZdfDgQeWrr75SNmzYoPzrX//SQw3FtaR3ZSOhKAqvvvoqixcvxtvb\nWzf99ttv51e/+lWry+fk5LBixQpef/113N3dddM///xzNm7cCMCAAQMYNmwYe/bs4be//S3QOAi2\njY0NTk5ON6zT6tWrWbx4MQMGDNBNHzJkCPPnz8fUtO3Tz8bGpj273m6ZmZmEh4dz//334+npiaIo\n/OMf/+CZZ54hPDy8S8tqS1lZGe+++y7/+c9/AAgPDyc0NPS6vfItXryYSZMm0a9fP0xMTPRWTyF6\nG8nBG+vqHLzZPLvZ5YUQLUnW3Zihs660tJQ//vGPREVFYWZmxq233srkyZPx9PTs1H6J9pNGrpE4\nf/48mZmZTJgwocW8NWvWYGZm1mxaVn/ntgQAACAASURBVFYWr7zyCmvWrMHNzU03PT09neLiYgYO\nHKibNmjQIGJjY3WfN2zYwGuvvdbqIy3trVPTQNy7du3i/fffZ9SoUdjY2BAbG4utrS2TJ09m69at\nPPjgg7plY2NjWbVqFZaWlgQEBLTjqDR39OhRPvnkE91/CC+99BK//vWv9drAhcbHjwcNGqT7PHTo\nUCIjI7nrrrtaXd7U1FT3H5IQ4vokB2+sq3PwZvPsZpcXQrQkWXdjhs46W1tbvvjiC8zNzQGor69H\nkQFt9EoauUbi8uXLAM3Cq0nTH1gTRVFYsGABf//731ssf/XqVaDxj7OJra0tycnJAERERDB48OBW\ny7mZOjV54IEHyMvL49NPP2Xfvn04ODjw1ltv8fjjj3Px4kXdcrW1tTz99NM899xzTJ8+nfj4eD75\n5BPuv/9+3TIfffQRKpXqugN6+/v768Ju3bp11NXVtRhYPD09nV27dqFSqXRh1PSzSqVi5MiRTJ06\n9Yb73pacnBzs7Ox0n+3s7EhLS7vu8jExMSiKQlFREb6+vp0uXwhjJTmo/xy82Ty72eWFEC1J1vX8\nrAMYPHgw0Pie8pgxY/Dy8mpzedG1pJHbR3l4ePDKK6/wySefoNFoWsxXqVTNPiuKgqIobNmyhXff\nffemyrr2ytX58+f529/+RlFREZMmTeK5554DIDg4GAcHBwCeffbZFts4ffo0BQUF3H333QBotdpm\nj8MAZGdnt6j3tUaPHg3A9u3bSUhI4L333muxjLe3d6vld6WSkpJm/wmZmZlRUVFx3eXnzp3L8OHD\nAZg9ezbjxo1r9h+SEKJjJAc7n4M3m2c3u7wQovMk6/SfdU327dvHgQMHePHFF9tVjug60ruykfD1\n9QUgNzf3hsuqVCo2bNiAoig8+eST1NXV6eY5OzsDjX/MTUpLS3F2dmbv3r1MmjSp3Q2spito19Zp\nxIgR7NixA61WS2FhoW56a6F7ratXr2JnZ9cs0Ozt7Zsts2LFCpYvX97mdr7++mu+/fZb1q9fj1qt\npqqqql37ciP//Oc/2bhxY6v/MjMzmy1rY2PT7D+BqqqqFvtyLa1Wq/vZzs6OyMjILqmzEMZGclD/\nOXizeXazywshWpKs6/lZ12TGjBm8/vrr/O53v2vxfVB0L7mTaySGDx+Or68vR48eZe7cuc3mrVix\ngocffphhw4bpptnZ2bF582YeeOABnn/+ed566y0AfHx8sLe359KlS7pOBi5evMjkyZM5deoUSUlJ\nHDlyBID8/Hz++te/4uHhwaZNm1rUacSIEXh6evLDDz/w4IMPdmr/+vXrR0lJCQ0NDajVjddmioqK\nbmobx44dY8uWLXz88cdYWFhQWFhIdHR0s8d/r3105Vo3elx54cKF7a6Ht7c3586d030uKipixIgR\nrS67Z88eIiIidL+fiooK6XxKiOuQHLyxrs7Bm8mzjiwvhGhJsu7GDJ11ERERvPfee3z66adoNBqc\nnZ35/vvveeyxx25qP0QndEufzcIgIiMjlalTpzbrTv7zzz9X5s6dq/v8448/KlqtVqmvr1cURVHO\nnTunBAcHK2+++aZumbfeekt58cUXFUVp7E4+JCREuXr1aovywsLC2tWdfGhoqJKUlKSblpOTo8yZ\nM0dZsWKFoiiKsmHDBl339dd64YUXlA0bNiiKoig1NTXK5MmTlb179yqKoigXLlxQhg8f3qwL98jI\nSOXQoUOt1iMmJka5++67m3Wb/9ZbbykVFRVt1r87VFRUKDNmzNB9njVrlu74Xr58WdfVv6IoSlRU\nlO4Yl5eXK2FhYQapsxC9heSgfnPwZvLsRssLIdpPsq5nZ11ERISybt06RVEUpaGhQQkNDVV++OGH\nDpcvbp5KUaSrL2Ny6tQp1q9fT0NDAw0NDfj5+bF06VIcHBw4duwYb775JgkJCYwZM4Z33nkHZ2dn\nIiIiWLJkCUFBQbzxxhu4ubmxcuVKUlJSqK+v59lnn2X8+PG6MmJiYli7di0xMTEMHDiQadOm8eST\nT7ZZp02bNlFTU0NVVRUNDQ1Mnz6dhx56iEOHDvH2229TXV3NxIkT+dvf/gbAhx9+yNatW7GwsODJ\nJ5/k/vvvJzY2lpUrV2JpacmgQYNITk6msLCQZcuWERYWxurVq3F3d+f3v/99s/KvXLnC7NmzueOO\nOxg0aBAVFRVERUVhZWXFhg0buucXcQNfffUVmZmZKIqCt7c3s2bNAuC+++7j9ddf172DC413cwsK\nCsjMzGTGjBmMHDnSIHUWoreQHNRvDt5MnrW1vBDi5kjW9eys+/e//019fT1ZWVn4+vp2+g63uDnS\nyBVGoaSkhAceeIBt27bJcDtCiD5JclAI0RdI1on26NZGrqIoLFq0iJEjR1JTU0N6ejpr1qxp1jvZ\n7t27+fTTT7GwsABgzpw5clVX3LQffvgBa2trXW96QuiTZJ3oCSQHRXeTrBM9gWSdaI9u73gqODiY\nRYsWAfDkk0+yf/9+ZsyY0WyZt99+Gw8Pj+6uijBikyZNMnQVRB8nWScMTXJQ6INknTA0yTrRHt3a\nyFWpVLogrKurIzc3Fz8/vxbL7dixg379+lFZWcnDDz/cZpfcVVVVnDt3jn79+kkvs0IInfr6eq5c\nuUJAQACWlpZ6LVuyTgihL5J1Qoi+oLNZp5d3co8cOcK2bdsYNWoUTz31VLN5mZmZWFtb4+joSERE\nBFu3bmXbtm3X3VZUVBTz5s3r5hoLIXqrnTt3MmbMGIOULVknhNAXyTohRF/Q0azTa8dTzz//PKNG\njeKhhx5qdX5NTQ3BwcGcO3euxZhVTdLS0rjzzjvZuXPnTb1s/vHHH7NgwYKbqq++1unoelOnTuXg\nwYPdXk5PXkdfx6Cj6xnbcejJfxM5OTnMmzeP/fv34+vre9PldaW+kHX6LMvYzm99HYOOltWT1+nJ\n54K+ypKsa9STf0cdXacnn9/6/DuS49Czj4G+yups1nXr48rJyclkZGQQGhoKgJeXF+np6RQXF2Ni\nYoJGo2HdunU888wzmJiYcOnSJby8vK4bhIDuURZ3d3e8vLzaXRc7O7ubWl6f63RmvZ66T/o8dj35\nd2Rsx6E3/E0Y4nG3vph1+i6rp56rPfkYdLSsnrwO9NxzQd9lSdb17N+RsZ3f+jwGIMcBeu4x0HdZ\nHc26bm3kmpub88UXXxAXF0dtbS0pKSm89NJLbN68GQcHBxYuXIiLiwurV6/G09OTxMRE1q5d2y11\nGTduXI9dpzPr6aOcnrxOR+jzd2Rsx8EY/ya6QndmXVVZDtD+/xR6+u9Izm/9nts9eZ+M7VzQd1mG\n0Nu/13V0vZ78e+3J+yNZ1/F1OkKyrrleN05uRkaG7hZ+R68OGYuhQ4eSkJBg6GoYlByDRnIcjC8b\nmvZn01/ncsf9fzF0dQxKzm85Bk3kOBhv1hnL/nSGnN+N5DjIMYDOZ4O6G+okhBCii5QXXSY9fp+h\nqyGEEEII0WtII7cX+2WPhn2RHINGchyMW/bFQzTU1xm6GgYj57ccgyZyHIQxk/O7kRwHOQZdodc+\nrvzII49gZ2fHuHHjCAkJMXS1hBAGEhkZyYkTJygpKWH79u1G88hbU9a9+ucwvPopmGi03Hrnnwxd\nLSGEgRh71sn3OiEEdF3WdWvHU91pwYIFRhHuQojOCQkJISQkhIyMDLZv327o6nS5AUPHUldwEnVd\nFg0N9ajV+u9RVQhheMaedfK9TggBXZd18riyEEL0YGZm1tg4eFFbVULK2Z2Gro4QQgghRI8njVwh\nhOjh7F0GA1ByNRlFaTBwbYQQQggherZe+7iyEKLR3r17ee211zhx4oShq9Kmb775hoMHDzJs2DBi\nY2O59957CQsLa7FceHg4FhYWQOMA4Fu3btV3VXscC2tHLKydqCzNIT8zGhevMYaukhAdJpklhBBt\nk5zsPGnkCtGFPtp7nqNnM7t0mxNGevLYzBHXnT9z5kzeeeedLi2zO9TU1LBs2TLc3d2Ji4vjj3/8\nY6tBOGnSJOlVsBV2zv5cqSggN/UIzp6jUalUhq6SMAKSWdcnmSWEAMnJtvTknJRGrhBGZteuXaSm\npmJra0tBQQHLly9HpVKxefNmkpOT8fPzIzo6GnNzc1566SXc3d1bbOPChQusX7+ewMBAqqur2bdv\nHy+//HKL4PrDH/5AZWVli/UXL17MLbfc0mzavffeq/s5NTWVQYMGtVr/xMREtmzZQlVVFYGBgYSG\nhnbkMBgdG3tPCnPPU5QXT9q5z/ENmCMNXWEUJLOEEKJtkpMdoPQy6enpypAhQ5T09HRDV0WIHmPK\nlCmKoijKxYsXlVmzZummr1q1Stm1a5eSmJio3HPPPbrpS5cuVXbv3n3d7d1///1KTEyMoiiKcuzY\nMWX+/PldUs+qqipl7dq1ygMPPKBcvny51WWayq2vr1cefPBB5eTJk+3atrFlQ9P+nDrybyUz6Xsl\nM+l7JenUx8qRL55QTny9TEk9/x9DV1GIDpPM6jhjzTpj2R8hukpfz8nOZkOvvZP78ccfy3hqQvxC\nUlISnp6eus8+Pj7Ex8ej0Wjw8fHRTff29m5zOxcvXsTX1xegzSEdlixZQkVFRbNpKpWKJUuWMHr0\n6BbLW1hYsHTpUi5fvsz8+fM5ePAgJibNh8QJDAwEQK1WM2bMGCIjIxkz5vrvoF47npoxOnP2DE4O\nGjw9PRkaMInykkzKClLJTPwvzh5j0Di0/bsUoifri5nVUcaedfK9TojW9bWc7Kqs67WNXBlPTYif\nKYoCwJAhQ8jIyNBNT01NJSAgAH9/f9LS0nTT09PTmwXjLw0aNIjU1FSCgoKabe+XNm3a1O46fvTR\nRzz22GMAuLm5UVRURFVVFTY2NmRkZODl5UVKSgrR0dHMmTMHgLS0NKZNm9bmdo197MhRI0fh7uas\n++zieQsWlg7kZ50hKeojgu9YacDaCdExfTmzOsrYs06+1wnRXF/Nya7Kul7byBVCNNq7dy/l5eV8\n9tlnhIeHM3/+fNasWYNGo8Hc3Jw5cxrf3Zw1axbPPvssWq2W2traNre5atUq1q9fT1BQEGZmZl3y\n7mdNTQ2vvvoq7u7upKSksGLFCmxsbCgoKGDevHkcOHAAjUbD4cOHuXLlCqWlpfTv35+ZM2d2uuze\nzMbBFygDoKGhFpVKha3zQMqKLlNRkkVBdgxO/YMMW0khboJklhBCtE1ysvOkkStELzdz5sxmYTF3\n7txWl7vtttv4/e9/D8Dy5cvbvNpnYmLC+++/j1qtJioqqs0rfu21aNGiVqc7OTkREREBgKurK+vX\nr+90WcbE2s4bR0dzCnPOoqLxPySVSoWD2zByLx3lUuwuHNwCUKtl2HPRO0hmCSFE2yQnO08auUL0\nEdu3b8ff35+6ujrc3d1b9JB3rcTERD799FN8fHxIS0uT4TEMSKVStXq11W3AJEquXqSyNJfk09sZ\nPPq3+q+cEN1IMksIIdomOXl90sgVoo9Yu3Zti2nx8fHExcWhUqlQFAWVSoVWq2X27NnMnj3bALUU\nbfu5satx8MXZYxSZiQfIzzzNgMA5mJlrDFg3IbqWZJYQQrRNcvL6pJErRB+m1WrRarWGroZor1/c\n0DWz0GDfbyhFeXEkntzCiAl/NEy9hNATySwhhGib5GSjXtvIla7mhRDQN4bVcHOxYqTWgSEOvi3m\n2/cbQmlBCsV5iVzNjMLFs+uHLhFCGJ6xZ927H35Gfydz+V4nRB8nQwhJV/NCCPrGsBoujuYUZJ9p\n9d1ctYkpDm7Dyc88TWbifpw9RndJj4lCiJ7F2LPOQxvGvVOG49XP0tBVEUIYUFdlXa/tjjOvuMbQ\nVRBCCL2ytHFrdbqtkx/mlvaUFaaRGvuZnmslhBBdIzm70tBVEEIYiV7byD0aW0RxeZ2hqyGEEN0q\n+2q57meVyuSaOaprpqtw8mgcKzc37UdKC1P1VDshhOga+cXVZOVXU1evGLoqQggj0GsfVz55IZfb\nx1Yy0t/W0FURQmfHmS/4MT26S7d5q/ctzB91/3Xn7927l9dee40TJ050abndZc+ePTz33HOcPn0a\nKyurFvOPHz/O/v37cXZ2BjD6Lu5vZO2OKDY8d3ur86w0blSW5f70sytO/QMpyI4lIfIDxty1Rp/V\nFL2UZNaNSWbpx7GYLOwc3biYWYHWx8bQ1RFCR3LyxnpiTvbaO7nZBeX8b3SOoashhMHNnDkTW9ve\ncbEnOTmZ5OTk674zWlVVxcqVK1mxYgVPPfUUiYmJ/Pjjj3quZc9SXKnw0d7zKNz47oZ9vyFY2bpR\nXVFA6rnP9VA7IW6eZJZojQIcPpPJ0XOFHD1fZOjqCGFQkpOd12vv5Jqq1Rw+k0N4mBceLi2vGAhh\nCPNH3d/mlTl92LVrF6mpqdja2lJQUMDy5ctRqVRs3ryZ5ORk/Pz8iI6OxtzcnJdeegl3d/cW27hw\n4QLr168nMDCQ6upq9u3bx8svv0xYWFiz5f7whz9QWdnyHarFixe3GJC8qqqKDz/8kFdffZUPPvig\n1bqfPn0aT09PTE0bo+mWW24hIiKCW2+9taOHo9fr5+xMwuUycq6qcfVuPk/X7FWpQGn8pHHwobI0\nl/KidOrrqjAxlU5cxPVJZjWSzDI8ra8jF6/Uk5RehIW5CUF+Gmyte+3XVGFEJCcb9bac7LXpoTGt\npLy2nte3nWb5b0fj6WJh6CoJYXDJycns3LmTr776CoDVq1fz+eefM2rUKPbs2cO+ffsAWLZsGRMm\nTGg1BAFeeeUVVq5cSWBgIMePH+fMmTMtQhBg/fr17a7b22+/zZIlS3Qh15qCggJsbH5+TM3Gxob8\n/Pw2t2vsw2qoq69QrO7PobPpBAb/fDf32iumbr6h5Kb+HwDWdh6oVCaUFaWTc+n/8Bx8l76rLES7\n9cXM6ihjzzqLsrOoGUV8aj7DBjiRV1QjjVwh6Hs52eeHELpttJbD5yvILKjnSGwhD0x2k2EzRJ+X\nlJSEp6en7rOPjw/x8fFoNBp8fHx00729vVtbXefixYv4+jaOydrWUF1LliyhoqKi2TSVSsWSJUsY\nPXq0blpOTg4lJSV88803KD/dcdy6dSuhoaGMGDFCt5yTkxNlZWW6z+Xl5br3N67H2IfVGDc6gLNp\nDRxKUrgrrRCnVl4yMTE11/2sNjHF2t6D8qJ0MhL2Y2JqhbtfqB5rLET79cXM6ihjz7pnFs7lk8OF\nHDqTT1pOCYO9rPH3sDZ0tYQwuL6Wk12Vdb22kTtOa09umQUxyVdJuFxEQakzznZmhq6WEAbRFC5D\nhgwhIyNDNz01NZWAgAD8/f1JS0vTTU9PT28WjL80aNAgUlNTCQoKara9X9q0aVO76ufu7s6aNT93\nhLRu3ToeffRRXecEGRkZeHl5ERwcTHZ2NrW1tZiZmREdHc1vfvObdpVhzIb4OJB5tYyDp7KZO7b1\nZSysnamuaLwy6uwxErWJGaX5KaSd/wpnj1sws+gd7/aIvkEyS7Rm+njvnxq5peQVdc/FAiF6C8nJ\nzum1jVxfN0smBmqISb5Kem4Z6VeqpJEr+qS9e/dSXl7OZ599Rnh4OPPnz2fNmjVoNBrMzc2ZM2cO\nKpWKWbNm8eyzz6LVaqmtrW1zm6tWrWL9+vUEBQVhZmbWZU9JFBQU8Nlnn6FSqdiyZQvh4eGYmpoy\nb948Dhw4gKWlJatWreK1117D2dmZoUOH9vl327z7WVJcZ425iZozyaXcP0bB0sqhxXIq1c+3eE1M\nLXDxDEatNqX4SiJxxzcRNPkFfVZbiOuSzBLXo/W1x9nOgtyCCgpKqimvqsfG0uTGKwphZCQnO69b\nG7mKorBo0SJGjhxJTU0N6enprFmzBnPznx+tq6mp4Y033sDNzY20tDQWLlzIgAED2rX9kYMccLCx\nIKegnOTMckbJcEKiD5o5cyYzZ87UfZ47d26ry9122238/ve/B2D58uVtXu0zMTHh/fffR61WExUV\n1eYVv5vh5OTE4sWLWbx4cbPpERERup/Hjx/P+PHju6Q8fenOrAscaMupNBM8+mm4kn+FrKsVjBv/\nq3bVy8FtOBWlOZQWXCLl7L8ZOFLuMAnDk8zqvbr7e52JWsUwX3uOxOaRkVdGclYlQQM13bQ3QvRc\nkpOd1+13coODg1m0aBEATz75JPv372fGjBm6+du2bcPDw4PHH3+cxMREVqxYwc6dO9u17f7OFvi4\na4hJzicurZiLWXYMkvc3hGjV9u3b8ff3p66uDnd39xY95F0rMTGRTz/9FB8fH9LS0mTcx3borqwz\nN1UxsL8Via6NjdykjFLGKspPV2DbHlZIrTbB1XscmRf/l9zUH/Eaeg/mlvad2k8h9EUyq2fqzu91\nALePcuVIbB7xaYWc7KfBx9UCB408qSdEayQnr69bG7kqlUoXhHV1deTm5uLn59dsmYiICP785z8D\njc+cJyQkUF5e3qwXrtacLz6Hh6cHEwJdiE3O5+SFXDRWZjw8zQsXe/M21xWiL1q7dm2LafHx8cTF\nxaFSqVB+ajhptVpmz57N7NmzDVDL3qk7sy63Kgd/Dzc8XGxIsDAl+2oV6z45zZ8eDG623PXG0TW3\nssfBVUtR7gWST+9g2Hjj/k9NGA/JrJ6nO7OuyW0jnAnwc+DcpSK+PZ6GlYWasGBnXB3MMVFLB6NC\nXEty8vr08k7ukSNH2LZtG2FhYc162wLIz89v0a30L7uabs3fP1zLinMrKL1cSb9Rj2DnHcJ/T6Rh\nZ23Kb+7wwtK8lS5IhRDNaLVatFqtoatx0zZs2MDGjRsNXY0WuiPrXtr+MpkHMjC3m4RTPzcCnByJ\niL6Ch3MCc6cMxdrWs8U65lYO1FQW6T7bOftTfCWR4itJ5F0+iqvPhE7uqRCG0Vszq6P6UtY9vOa3\n5BzKQKlXUFvY4T5mEbj4czAqk/oGFbbWpvxqjBNWFvKOrhBt6Y052R1Zp5eW4MSJE9myZQvp6el8\n8sknzea5uLhQXl6u+1xWVoaTk9MNtzlkcgBrd7xJfNx5vv1oKaHBXjSg4vvIDP73dD71DW0/xieE\n6L2efvppEhISmv07ePCgoavVLVnnNMKN9Z9v4j871vHogocZPsgDGxsNO/cnkZBegaVNvxtuw8TU\nHFsnP+rrqshM/C8VJdk3v3NCCL3rS1nnPsmD5794kQvxF4iLOcn2v83Dw8WG7PxykjOLKaus42xy\n2Q23I4Tofboj67q1kZucnNzspWMvLy/S09MpLi7WjZcUGhrKmTNnAEhISGDYsGHteqQlv6KQ2CsX\nyKnKxtbalN/c4c0wXydKK2uIOJ3DyQTjHCxdCNHzdGfWNSgNfHr+S/o5Qj8Hc0zVKm4L7I+ismDH\nt3G6IQZQrrmw18o1PgfXoVhYO1NRksX5I++gNNR3fIeFEH1Sd2aduYkZhzOOczj7MADerpYsfXAo\npmqFc8lXqatXSM6qpKCk7R5khRACurmRa25uzhdffMH777/Phg0bSElJ4fHHH2fz5s26K3+PPPII\nWVlZvPfee2zbto3XX3+9fds2MSM2N55T+VFU11fj7WrJg1N9sDQzJT6tkHMppWQXVHfn7gkhBNC9\nWTfQ0ZeKhnIOXTqG1qexYz0XByt8+ztyPiWf6IS8Zsu7eIW0uh0TUwv6+4di4+BDTVUR8ZHvd2KP\nhRB9UXdm3Yh+Q1FQ+CHrGNmVWQBofez49URXKqsqSUgrQEEhPr38BlsSQohufifX29ub9evXt5i+\nbNky3c8WFha8/PLLN73toc6DSaq/xJnc83jZeDHK8RbGDLXn9lH92H8ym+iEPNydLJkeYo5aOioQ\nRmzv3r289tprnDhxwtBVaZc9e/bw3HPPcfr0ad2A4dcKDw/HwsICaOzufuvWrfqu4k3rzqwb6OhD\nbkk+ezP24O/iQa2qcYzcYX79SMst5e//Ps/6P9nqrli21XuySqXC2SOIytIcCnPOU5Adg1P/oJuu\nkxCdIZnVe3Vn1o3qF8jlK9mkFWUQlX+S6Z4zMFGZcP+UwXwXmUFMcj4OGgtsrfTSnYwQBiU52Xm9\nNinu9rmTrIwdpBSmcbHkIiPsAzFTm/HY9IFEJxaSmlPCmaR8hvla4y/DCgk9ubT1Y/KPHe/SbTrf\nNh6/Rxdcd/7MmTN55513urTM7pKcnExycnKbA5BPmjTJ6Lu1vxnmpmb4OfqQVHCJQ7kReNnPhhIF\nRzsLgoe4E52Yx+qPoln1oOU1a12/TwJLG2dcvG4hL+1HEqM+InjaKiwsHbp/R0SPJJnVNsks/Rlq\nN4zhSions8+QkJ9MiMtVXC3dsLU25+XHxvDi5nMcjc2mn6M1ldX10gGV0BvJybb11JzstY1cV0tX\nRrkGcjQzkrSiTPJcc/G08sLOxozHpvvz9q44ohPyCPR3ZGB/qzYPvBDGZNeuXaSmpmJra0tBQQHL\nly9HpVKxefNmkpOT8fPzIzo6GnNzc1566SXc3d1bbOPChQusX7+ewMBAqqur2bdvHy+//DJhYWHN\nlvvDH/5AZWVli/UXL17cYqy2qqoqPvzwQ1599VU++OCD69Y/MTGRLVu2UFVVRWBgIKGhoR08EsZj\noFNjI/dycSb+9sVQYgfAUF9H8goruJRTwuXcOtztbrwtC2tXbOzLcHAbTlHuBeKPv8vIsOXdvAdC\nXJ9klgAwVZlym8etROfEkFqUQXZlNq6WbgCM8HMmZFg/jp7L43JOCXlFzvi6SSNX9B2Skzev1zZy\nAULcx3A88wTpJVnkVGbjaeUFwK0jnBk2wImY5KucuHCF8SMccHWQsXNF9/N7dEGbV+a6W3JyMjt3\n7uSrr74CYPXq1Xz++eeMGjWKPXv2sG/fPqDx0bIJEya0GoIAr7zyCitXriQwMJDjx49z5syZFiEI\ntPrY2vW8/fbbLFmyBFPTtmNn4cKFBAYG0tDQwLx587CxsWHMmDHtLscY2VlosLewJafsCtUu2UBj\na1alAu0AJzKulBF5/gqzxzc9manHcwAAIABJREFUqvzzRT1Lm35UlV/RfbZ18qesMAUH16GUF2dQ\nVphG1sX/4jHoDj3ukegpJLOuTzJL/wZofPGwcye9OIu4wngCHYJQqxpfxpgY5Mqxc3mkZJWQW1iD\nr5vlDbYmRNeQnLy+npyTvbaR+/HHH2PtZI2dVkNRVQkpJZcYZjcCa1NrLM3V/Gpcf+JTC7iQWkBU\nQjF3j3ORu7nC6CUlJeHp+fO4qT4+PsTHx6PRaPDx8dFN9/b2bnM7Fy9exNfXF2jsPfN6lixZQkVF\nRbNpKpWKJUuWMHr0aN20nJwcSkpK+Oabb3S9AW/dupXQ0NAWYywGBgYCoFarGTNmDJGRkW0GYWRk\nJCdOnKCkxDh7VD9z5iw2TjbYOdtQrJSSVhWPg3owSkPjF79+DlY4aiw5lWrKtHGaG26vKQdVKjXO\nHiPJSfmBzMT9uHiNwVweWxZ61hczq6OMPes+/vhjbO1ssbulsSfmhPyLFHoW4GzhAsAgL1vcnRuH\nFIqMK0CtguDBtphIvyvCyPW1nOyqrOu1jdwFCxbg5eXFh3Fb+SHjRxLzk+ln/SO3uUzEXG1O8GA7\nhvk5cfbiVQ6czGKIlw2DPOXdXGGcmsJlyJAhZGRk6KanpqYSEBCAv78/aWlpuunp6enNgvGXBg0a\nRGpqKkFBQc2290ubNm1qV/3c3d1Zs2aN7vO6det49NFHdZ0TZGRk4OXlRUpKCtHR0cyZMweAtLQ0\npk2b1ua2Q0JCCAkJISMjg+3bt7erPr1J+O0P4uBmz4XCONITvuP8lThm+Y7CtlLLIE8rDp0pYsRA\nJ47EVPHe9wprByv88p1cB7cASq4m0FDffOgNK40rtk5+lBZcIu74ewRNfkEuBgq96MuZ1VHGnnVN\n3+tiCs+QGpPJpaJ09qR8zaPDGu+gudibofV1JDu/nOMx2dhamVFV28CEEfaSW8Io9dWc7Kqs67WN\n3CZ3+/yK07mxJBWk4mjlgItFPwLsA3HQmDF7ohcpmSUkXi7k+5N5uDp4YWfT63dZiGb27t1LeXk5\nn332GeHh4cyfP581a9ag0WgwNzdnzpw5qFQqZs2axbPPPotWq6W2tu1xBletWsX69esJCgrCzMys\ny75AFBQU8Nlnn6FSqdiyZQvh4eGYmpoyb948Dhw4gEaj4fDhw1y5coXS0lL69+/PzJkzu6Ts3so+\npZjBfmMwVZmR7JpKbF48X6fv4uWQF3G1csDH1YLaOlu8XW2Jv5zPZwcSmNb8AirWth5UlmZTXZHf\nYvtOHiOpriykrDCVxJObGTru93raM9FXSWaJtgy09WeS7zgOpRzjcMYxAhyCGNs/GAszNfdN8iC3\noJwLqYUcOZsFKg/cHM0ZLDcxhJGRnOw8ldJ0maCXyMjIYOrUqex66SWCHnoIlakpp6+c4d2Yf1Kv\nNBDqeytz/eZgbWpDXb3C5r2X2HfsMhpLM8Lv8OfeCW6YmMgVP9H3xMbG6h4XWb58OXPmzGnRgUCT\nuLg4hg4dilqtJioqiq+++orXXntNn9W9aU3ZcPDgwTYfw+ktmvbnw9n3Evzob7HSDuXI1cMcTY8k\nIT8FTysvXr1tOVeK6vhvdAFV1fXsj0yloryAZ2eZMNTTDGh8J9epfzD5WaeorsjHY9CdZF3c36ys\n2ppyspIO0tBQj8/wGXgPvccQuyxEM8aeWR1lrFn3wf0PcPuql1GbmxNdeIrYq+f4v9TjWCjWrA19\nFVuLxtcxamrrWbopiotZlfR3tuE30/yZeouTgfdCCMMw5pzsbNb12tuaed9+T9nIkdgGBTHKZSR3\n+oXxbcp/OXL5BO7WboS6T8bSxJIHp3iTlltBbPJV/nsyi1sG2+PXv+X4TUIYu+3bt+Pv709dXR3u\n7u7XDUFo7AXv008/xcfHh7S0NBkew4DKE5O4euAAXj4+BNoHUVJTTEl1GZllGXydfIAZ/nfioDGj\nCAgb482hE9Uci0lhUH9vTNTqVrfp4DqcorwLmJhZUV9biZm5Da4+IeRcOkpGwvc4ugWhcWj73R4h\nuptkVt9SdeE8Ca/+haGrVzLAZgDZlZmMcB3CubwE3j+/hV8NnEyAfRDmZia8+rtb+OP602Tnl5OU\nUcrkkY5yA0P0SZKT19drG7kNFRVk/8/nWA8ejImVFXd4TSG7Ipvo7HP8mB2FhZk5k/rdjpOdGQ9N\n9SUjt4zLeaXEXS6VRq7ok9auXdtiWnx8PHFxcahUKhRFQaVSodVqmT17NrNnzzZALUULpqYURJ7E\nNigIp8mTcbV0Z7RHIN8mHeL7zO9wtLdihN8YjsbWYmttjq+nK9VVqWTmleE/wAsLa5cWm7S286Io\n7wKW1i6UF6cDYGXrhrNHEPlZZ4k7toHgaasxNZOsFIYjmdW3WLg4U5mURO4X/8Hl142/y6HOA7lU\neJn4ggT8nD2wM7NngI0fDhozAvwd+d9TFVzKKuHHuGKG+djgZGdm4L0QQr8kJ6+v1zZyTWw1lCVd\npPCHH3C5804czZ24x/duLuanklqYzhDnHFKskhlsO5QB7pYM9rHnxIVcfjibx6/G9pPe+IQAtFot\nWq3W0NUQbbAbOgTlYjIFh39AM3w4gx2GcKU6l4GOPiQVpHIq9yyuvm442rpQWFqLb39bclPNSMoo\n5daJt16zpZZvpqhNLZp9tnX2p6aqhNKCS5w7/HdGTnlJOnQRPYpklvGyGzECfoyk4MgRNIMHYe1p\nQ0VdOVqXQZzKjiUmNx5LU0t8rH1Rq9SM1ToTcTqLtJxSUrIruZxXxV1jnXG0lYau6NskJxu1/ixb\nL5BvaQGKwuWv9lJbUACAv+0g7vK5EwWIyoohqTSJyvpK7G1MGT7AETMTNYmXi/jo2wwyrlQZdgeE\nEF0iMjKSDRs28PHHHxu6Kt3ibHUV9SYmlCQkUhIdjYOZA0Nth6F1GYS52pSY3AucyDvBuBEWONmZ\n4aCxwNrCjLyiav574jINDdfvdkGtNsNj0J26zyqVCmePUVhYO1NenEFS1If62EUhRDsYe9adyM6i\n2sqS6tw8Ss6exa7aHIABjt44WNpxuTiTc3kJZFdlAeDrZoWHi4aSihpOxedSUV3H8bjiNjNPCNHz\ndVXW9dpGbtCsWZg5OsLVqxT+cEQ3/Ve+d+Br60N+RSEXriRyqSwFlUqFX39rhvk5UVlTxzdHU9l7\nLJfi8joD7oEQoiuEhITw9NNPs2CB4QZq707TFy3CKWAE1NVREhNDfUkJg2wHc5/P/UwdEIqiwLH0\nU+TVpREa5AiAl6sGUPPOZ2f47L+JjRtq5/c+lVqNm++tmJhZcSX9JLlpx7pnx4QQN8XYs27G00/j\nPWUKAGVJF9FcbbwZoVapmOQ7Dhtza+KvXiS24BwA7k4WBA1yxtrClMT0Io6dzSa/uJaTCSX0sj5V\nhRDX6Kqs67WNXButFrsRwwEoOnWK+p8GLTZRm/DoiHlYmVoQf+UiSSWJ1DbUMsDNksCBLowd5kZ1\nXT2RF3L58UKRBKEQokdTW1rieNt4UKspT75E1U9j26lVakI9JuHv5EtlXRUnc09hY2lCP3tzHO3M\nGeLjiJ3Gmv85mEhOfnm7y7NzHoyJmSVuvuNRqdSknP435cWZ3bV7QggB/PQkSejtmFhbU5GahnlG\noW6epakFw10GAxBz5RzFtcVYmqu5b2J/nn0ogIHuVmQXlHM5t5SkzApiL7U/84QQxqnXNnLVVlbY\njRqJ2sKCitQ0Kq8ZDNlX48tI1wDqlHrOX0kkoyKdfg7m3B7kwJTR7nj105BXWMGphAJiUsoMuBdC\nCHFjNkOGYOXRn9qiIkpjYnQX55wtXBji7IcKiL0SR1V9Fb5ulgCYmaoZO8KXmroG3vtPDA3tvKBn\n4zAAAAtrR5y9bqGhoZbzR9+hvq66O3ZNCCF0LD090QzyR6mroy7uEuqyn3NniJM/pmoT0ooySCu/\nBICHiwXjhzvwwvzhmKnqOBWXS3llLefTyqiqaTDUbggheoBe28gFsPLxwXqALw3V1RQe+fmROpVK\nxTSfKVibWpJckMrZwrNU11fj7WpJaJAjD071Qa1ScfJCLsfPF8r7uaJX27t3L+PGjTN0NW5o9+7d\nhIeH88gjj/DII4+wZ8+eVpc7fvw4q1evZuPGjWzcuFHPtex5aivrMHd1RTN4EABFp07r+iEwU5vh\nrfHGXeNKfmUhx7NO4OtmifqnjvVcHDX4e7lxKj6PY7FZbZZj59x4l+TajqZsHX2xdR5IbVXJ/7N3\n5/FRVffj/1939n0ms2QmmWSykoSEQIBAwk5AcCto3fpRsC7VWou4VFv7sH4+2mp/tVp3bf0qomDd\n0IobIiD7EgIBEgjZ92WyT5LJvs7vj2AgBQGRxeB9Ph48Hsyde8899wbeueeec96HQ9ueEUe+iM4K\nMWaJvosgk2FKTgZBoCMnH617sCNCIVEy3jwRpyGA9t5O9tbuo993dMpZkE3PHT8Lo7unh20Hquju\nGaCgquNCXYZI9IOJcfKHG7HZlQEUgYHoRkXSll9A0+5UbJdfiurIYsGhulAS7GPYVZXOXncGIToX\n4/0mAjA7wcbBombW73WzPdONv58Sh1mJTFxjTfQDbfgim+zMkzcmvq/YcYHMWxD7nd8vWLCAF154\n4aye81x5/vnnCQwM/M7vu7q6eOyxx/jqq6+QyWTce++97N69m+Tk5O885mLnPthIYEAgxokTack8\nRGdFBTWfrMZ15x0AWJU24vyjqGmr56O8z5hkn4jToqS6rhVBgLExQdS29LMnp4BQG3zn3f+OLMrB\noxdQtP8d2psrKNj3JlGJd5ybCxVdEGLMOjkxZp0/375E00ZGYIiLxZt1GL+vcjCNW0SQNgg/uZkE\n/zgqW9ykVe5nsjWZeEvc0PE/mx5OZpGXXdktFFU2o1PLGO3Sis92oh9MjJMn92ONkyO2kesp8+IM\ndKKLjUVfVExrTi5lry9j1GP/i0QqRSrIuCpsAXlNRVR5a9hbuw+r0p9gTTASicBvroqk2N1GYZWX\nrOImRgVpiQ/TXejLEol+sFWrVlFaWoper8fj8fDII48gCAKvv/46RUVFhIWFsX//fhQKBY8++igO\nh+O4MrKzs3nppZeIj4+nu7ubL7/8kv/93/8lJSVl2H733nsvnZ2dxx1/9913n3BB8nfeeQebzUZn\nZyeLFy/GaDQO+/7AgQM4nU5kssHQNGHCBLZu3fqTfmDs7e2jqbwNa3Q0lmlTqFm3gcbNW9BGRGCe\nPQub0h8/tZEYayQ5DQX8Pf15fh04k+YWKfSCUi4lcbSdJncx6bkexk70DfXWyhXHxrwTPwiq1Gb8\nXUlU5m+gsSqD9lFVaI3O83Dlop8KMWaJAMrS67BbHMj9/THExdJdX09XWQX+Gwow3zAOgDhzLFUB\n1aS7D/La/uX8b/LDOPT+wOAolCXXjGZv3m6ySzxEBpnIq2gnLlR8thONfGKc/P5GbCN3y+dp7E7b\nzbjESMITxtFVXUN7Xh4VK/9NyG2D2bjsagdXhM7jvZyP2VuViUllxBq8ALVUg0ohYdG8UJ5ceYhD\nRY2EO42E+KswaEfsLRH9CMxbEHvSN3PnWlFREe+++y6fffYZAH/+85/5+OOPSUhI4PPPP+fLL78E\n4Pe//z3Tpk07YRAE+L//+z8ee+wx4uPjSU1NJSMj47ggCPDSSy+ddt0mT57M7Nmz8fPzY+vWrdx3\n3328/fbbw/bxeDxotdqhz1qtlsbGxpOWm5aWxp49e/B6vaddl5Fk/+5iKkoqGTXTSWx0NJYWLw3b\nd1C58h0kUgnGGTNwqoMYsA3g6Wyior2CTZWbmWlPxCDTUVjVgd2spa9Jgaetk437arkk0TFs6aBB\nw4ciyxQ6+nrakMpVyBQa/BxxeNyZFO5fwZgZDyL9rzV2RSOTGLO+27mKWWfqYo91aZsLyM8tJDYl\nhCiDAcuUKdSuW0/lBx9iHBOHIXY0ASonYX7BdPV1k1Wbx5PbXuSlK55AIgzOvvMzqJg11sI3BxrJ\nr2hCrZIyyqlBIR/Rs/NEF5gYJ7/buYiTZyvWjdgW3UCvnunxkxg12UlPSQHW9g7qvtlI3Vdf4Tcl\nGUNMNACzAmZR6i1ne+Vu9rozSbQmEq6LAGBSjB/x4X5kFHpIPVSDzShnfqJl2Jw0kWgkKSgowOk8\n2svmcrnIzc1Fp9PhcrmGtgcHB5+0nMLCQkJCQgAIOjIF4ESWLFlCR8fweU+CILBkyRImTpw4bPux\n9ZoyZQq//e1v8fl8w/6/mc1m2tqOJoNrb2/HYrGctK5JSUkkJSVRWVnJypUrT7rvSDTQL8WsDyHC\nHok2UEGvx0NPUxPeQ1k0bN6CZtQoxgWMRy3VMODy8U3RDuo7G/D01DMxRs+4cB1puV4k7TrcNS28\n/kUhYyNM+PupTnreb38sCpUJP8c41HoHbZ5S2prKKDv8H8LH3XQerl50sfspxqwzdbHHOp9PgqzL\nToQ9BoWmnP7WVixTp9C9bgPlH6xizF8eQy/Xo5cbGG2LpLW7jZLGKnLq84nzjxkq57YrR7Ejy8Oh\nokaC/fXkV3YwRhypJxrBfmpx8mzFuhHbyO3rHSA/qxZLkB5raCgdeXmYpyRRv3Ez5W8sI+qPf0Bh\nsyGTyLjElUJeUwF17Y0Ue0uGGrkSicCSa0bxx9cyKaluYcsBOeGBGkY5NRf46kSi7+fbuUxRUVFU\nHlliBqC0tJQxY8YQERFB2TEZyCsqKoYFxv8WGRlJaWkpY8eOHVbef3v11VdPu47PPfcc9913H1Kp\nlJKSEoKCgoaCYGVlJUFBQYwfP57q6mp6e3uRy+Xs37+fm276aTemNFoF7soWKrMb0fg58ZszB6lG\nQ1thIW0FhXj37sVy+eVEG2LQyrQUNpYyUFtEVbub8b4BJBIJk6INtNWp6etW01bcx19XHuSFeyed\n9gs9tc6OTK7F4hxPddEWGqoO4IiYg0Z34rfFItGpiDFL9N8cTiOdzX0c3l7JpFlmoAilzYrWFUTb\n4cM0btuOecZ0ovWjSffsIdgYSFlLFesrvyHWFj30s/EzqPjF3BBWfF1KalY1fgYFMeLcXNEIJMbJ\nH2bENnJ1ehX1ta1U5DbiFxKGwmYDnw+Vw0FXZSW1n6wm8Jc3I1Wr8VOYCfNzUdfeyP7aTOYGzB36\nATitau66KornP8zmUFEjWzKMBFmVqJXSC3yFItHp+eKLL2hvb+fDDz/kF7/4BTfffDN/+9vf0Ol0\nKBQKrrvuOgRBYOHChTz44IPExMTQ29t70jIff/xxXnrpJcaOHYtcLj8roxusVit//vOfcTqd5Ofn\n88wzzwCDw1gWLVrEhg0bUKlUPP744zzxxBNYLBaio6N/8nPbQmNtVGV3UVnqwWjVEDbFgSEpCcPu\nNJrT99G0dx8Kux1DUhKBaieR5nB21ebj39VCXmsO0frRyKQSwgJU9PdocJi1FFS18+66QhZfNuq7\nTywcHwNVWgt6cyitnlIK09/GGjThBMOeRaKTE2OW6ESCI80U7GvFXdaEp9bAt2NNDFFRdLurqf7g\nQ1QOO/aoKMaaEugf2IdcIqPQW0R5Rxkh2tChsq6d5WJ7ZiPF1a1s2efGopczbYxJfLYTjRhinPzh\nRmwjNyzORvmhDkoLGgmKsWByueipq8M4Np6u2lo8aXswTBiPcdIkdDIdIcYgDlRnUdhUwvvF7zPd\nMQ2XdrDLPjnWj+njHGzYW8mug9W4/DVcMtGMVCK+9RP9+C1YsIAFCxYMfb7++utPuN/UqVO56667\nAHjkkUdO+rZPKpXy2muvIZFISE9PP+kbv9P1y1/+8oTbzWYzW7duHfo8ZcoUpkyZ8oPPd7GInRZE\nY2kZtdWthLZ00d3ai8qgwHHtNbTl5dNWUIB8xw6UAQGoQkIYbYomXbWTjq5OPin4nGnOWmbaZ2PS\nyTFqZSSPcbB2VymrNlcxbpSF+AjzCc+r0QeisI0+ZsvgG2Vz4Di6O5po9ZSgUJuQK1OxBYs/L9Hp\nE2OW6EQCR5tprvRRV9OKu6QNl1RAJvWhdNhRh7joLCun7NV/Ev303wnWBNPS24xDl0GFt5p/Zizj\nrtG/Jtw8+G9EJpVw58JRPPdhDmW1XrYfrMPb0c8VSRZUCrGhK/rxE+PkDzdiG7kR4+20VtXS5Gmn\nKs+D9VIXMpMJAP3oGFqzc6hZ/Rn6sWORKJVYlBZibVFk1BxmQ/E2Ovs7WeBagL/KH5lU4Bdzgsgp\nbaayvo1tGTX46WVMjjGeohYi0cixcuVKIiIi6Ovrw+FwnDBD3rfy8/P54IMPcLlclJWVcc8995zH\nmoqOJVNKCY/3JzutCnd5MwHRZlQGBZrwcJyLF1Gx/C2aD2SijxmN0uUiSO1itDWSNncOBZ5Suvp7\nCDdEoAGcVhV1qJgcZ2d7ppt/vJ/L63848Tp8giBBrjQct10ikeEfOgV3wSYaqzKQK/X4OcYhk4vT\nPERnlxizflrURiVhcf7U1bRSWe7FFiBHr+1BACxJk6nv6qarphbPli3YLr2U0YbRJNjH0NrTTm1H\nPc/veY3n5v0ZuVQOQGyIjqumh7Dy6wIO5NdjN2vYdbiFlAQ/MfeK6KIhxsnvNmIbuSqDgvAx/uzb\nVkpliYfwBjum2bPx9fQg1enoqnLTXlyMZ/t2rJdcgllhZpQlFINSx/ayNDKqswnSBzLTfxZqqYZA\ni4pf/SyCp989TGZhA1aTmjCHGptJcaEvVSQ6K74dQnKs3NxccnJyEARhKFFATEwMV111FVddddUF\nqKXoRGInOynYX0N1ZQuttR1YwwdfwPlNm0pzWhot+w/QkpWFfuIENAEBXOKcR2HPADmtxVS0uNlR\nvZO5inBkUoHZCX50dPfjrm+nyN3CU+8c5I5ZPvD5TlGLo+QKLf4hydQUb6e2dBcAIXE/Fxu6orNK\njFk/PSFxNnL3ufE0ttOgV6HX9gAgSCToY6Lprq2lKXU3tksvRSrIiDWPRqVQcKD6MLnVZXyet4GU\nyCRMcj/kMglXTbfT1d3JvzeUsWV/JXKZi/AANaEO9QW+UpHo7BDj5HcbsY3cFStWYFE5UCvDqa9r\no7aoGVOQDolSiXbMGAy5eTTu2En9+g0YExLwNzrIb83HrrMS5ueiuKmcnIZ8dDIdydapSAUpk2NM\nXDUjmA83lbI9002gVc31sxxIxGHLootUTEwMMTExp97xR+xiX1ZjxYoVGPRGHMaxNDf0Ul7QSGC8\nBaVOgUQux5qSgjfzIO0FhXQWFaEMCMAoN+LShjJZb2Rd8RZSq/YRbvMRLLdi1MqIDdHS3etPc1s3\ne3JbSApqZPp/JToUhJMvuaHW2fB3TaauYg+1JTsY6O8lfOwvkMrFh0fRuXMxxKwz9VOIdUa9iVDD\nOFqaoaJeQrBFQCYbfAGnctiRqFW0FxXT5/UiMxhwqoMpbisizj+KihY3a9xf0CavY7wtgbGmBKQS\ngZvmhVFV38HmjHq2HagiwKwixK4Se3NFF62RHifPVqwbsQuH3XLLLdx5322EjfLH5/NRnF1PW/3g\nwsXKgABMkxKRm0x0llfQuGULBpmBJEsy8cZxLI66EblEzqHaXIpbSihozQMG02NfM9NJYrSNrp4+\n1qZWkFXadrJqiESiCywpKYmlS5dyyy23XOiqnBO33HILS++9h4QpkQiCQFlRI2X76ujr7gdAFzsa\ndYiLvrY2mvemDx0nESRMD5jOKHMYrd1tZNZn0dBdD0BsiBajVs6s8UGoVQoOl3ipqGsdOtYalIRK\nZx9ekRM8EGpNQdhDpwECdWW7Kcz4N76B/rN/E0Qi0U8i1t1z7xISpkZjMKrxtA9QUicf+l4QBLQh\nIfh6eih9+RVadu9GL2gwyk0opHKSgsbj8/nYVbGPAm8Bjd0NQ8fec200YQEGGr1dpGbVUdvUcyEu\nUSQSnYazFetGbCMXQCqTEDUxALVajruimZL9tQz0DwCgGzsW04Tx4PPRsHEzvQ0NWJU2XNoQwg3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ApuirkerUJDQWMxO6p30trrJcA8mBVeKhWYMykMhVLLrkO1eLxdpOV4qWsW19AVic63cxHr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y9e04Uv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\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0lL4cms1CB3rHVt+VNff24ti1i/Sx49SCizSSCWSHnXahgNrbi6iqq44F8Gl+1lnXscWz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\nSjBVAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dir = '/Users/jwstnircam/NIRCam/cdbs.20.1rc1/grid/phoenix/'\n", + "zvals = ['m05', 'm00', 'p03']\n", + "zvals2 = [-0.5, 0.0, +0.3]\n", + "\n", + "fig, axes = plt.subplots(2,3, figsize=(16,10))\n", + "axes = axes.flatten()\n", + "\n", + "pal = sns.color_palette()\n", + "pal2 = sns.color_palette('muted')\n", + "\n", + "t='5200'\n", + "for i, z in enumerate(zvals):\n", + " ax = axes[i]\n", + " \n", + " file = '{0:}phoenix{1:}/phoenix{1:}_{2:}.fits'.format(dir,z,t)\n", + " f = fits.open(file)\n", + " w = f[1].data['WAVELENGTH'] / 1e4\n", + " ind = (w>3) & (w<5)\n", + "\n", + " gvals = ['g35', 'g40', 'g45', 'g50']\n", + " for j,g in enumerate(gvals):\n", + " flux = f[1].data[g][ind]\n", + " ax.plot(w[ind], flux/np.median(flux) + 0.15*(len(gvals)-j-1), \n", + " color=pal[j], label=\"log_g = {}.{}\".format(g[1],g[2]))\n", + " \n", + " ax.set_title(\"Phoenix Grid; $Z={:.1f}$\".format(zvals2[i]))\n", + " f.close()\n", + " \n", + "for i, z in enumerate(zvals2):\n", + " gvals = [3.5, 4.0, 4.5, 5.0]\n", + " ax = axes[i+3]\n", + " for j,g in enumerate(gvals):\n", + " sp = S.Icat('ck04models', int(t), z, g)\n", + " w = sp.wave / 1e4; f = sp.flux\n", + " ind = (w>3) & (w<5)\n", + " flux = f[ind]\n", + " ax.plot(w[ind], flux/np.median(flux) + 0.15*(len(gvals)-j-1), \n", + " color=pal[j], label=\"log_g = {}\".format(g))\n", + " \n", + " # Downsample Phoenix model\n", + " sp2 = S.Icat('phoenix', int(t), z, g)\n", + " sp3 = bin_spectrum(sp2, sp.wave[ind], waveunits='angstrom')\n", + " w = sp3.wave / 1e4; f = sp3.flux\n", + " ind = (w>3) & (w<5)\n", + " flux = f[ind]\n", + " ax.plot(w[ind], flux/np.median(flux) + 0.15*(len(gvals)-j-1), \n", + " color=pal2[j], lw=3, alpha=0.5)\n", + " \n", + " ax.set_title(\"CK04 Grid; $Z={:.1f}$\".format(z))\n", + "\n", + " \n", + "\n", + "# Plot MARCS model\n", + "if '5200' in t:\n", + "\n", + " wave = ascii.read('temp_wave.txt', guess=False, format='basic', names=['Wave'], data_start=0)\n", + " flux = ascii.read('temp_flux.txt', guess=False, format='basic', names=['Flux'], data_start=0)\n", + " sp = S.ArraySpectrum(wave[0][:], flux[0][:], name='MySource')\n", + "\n", + " sp_temp = S.Icat('ck04models', int(t), z, g)\n", + " ind = (sp_temp.wave>3e4) & (sp_temp.wave<5e4)\n", + "\n", + " sp2 = bin_spectrum(sp, sp_temp.wave[ind], waveunits='angstrom')\n", + "\n", + " w = sp.wave / 1e4; f = sp.flux\n", + " ind = (w>3) & (w<5)\n", + " flux = f[ind]\n", + " scl = np.median(flux)\n", + " axes[4].plot(w[ind], flux/scl + 0.8, color=pal[4], lw=1, alpha=0.5, label='MARCS hi-res')\n", + " \n", + " w = sp2.wave / 1e4; f = sp2.flux\n", + " ind = (w>3) & (w<5)\n", + " flux = f[ind]\n", + " axes[4].plot(w[ind], flux/scl + 0.8, color=pal2[4], label='MARCS rebin')\n", + "\n", + "\n", + "\n", + "for ax in axes:\n", + " ax.set_ylabel('Flux [scaled flam]')\n", + " ax.set_xlabel('Wavelength [$\\mu m$]')\n", + " ax.minorticks_on()\n", + " ax.legend()\n", + "\n", + "\n", + "\n", + "#fig.tight_layout()\n", + "fig.suptitle(\"$T_{{eff}}$ = {}K\".format(t), fontsize=20)\n", + "fig.savefig('Models'+t+'K.pdf')" + ] + }, + { + "cell_type": "code", + "execution_count": 303, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 303, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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o6iuVSty4cQMxMTEYNmwYACA/Px9ZWVnw8/ODQqFAamoqxGIxKioqkJ6eDm9vb5w7dw6J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\nunlrbCsUDAFERGSVGi6s1JCHiwM+WT8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9OzqNArOXEBudUotOOZS7n+gfS7xfNHm1hdzx1r00d7USarRxTcJ6nsl+jVcO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Jzt4U+//Mjvao9w62ms76Agt4aC3Bo+ejsPhVJKXJKNxFQ7CSl2tNPZ6+ccsmGZ7Vb3HARBQK4y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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sp_list = ['A0V', 'A4V', 'F0V', 'F1V', 'F2V', 'F3V', 'F4V', 'G0V']#, 'M0V', 'K0III']\n", + "\n", + "\n", + "for i,spt in enumerate(sp_list[::-1]):\n", + " sp = pynrc.stellar_spectrum(spt, 5, 'vegamag', bp_k)\n", + " sp.convert('Jy')\n", + " sp.convert('um')\n", + " plt.semilogy(sp.wave, sp.flux*10**(i*0.25))\n", + "\n", + "plt.xlim([1,5])\n", + "plt.ylim([1,1e3])\n", + "\n", + "#sp = S.Icat('k93models', 7200, 0, 4.34)\n", + "#sp = sp.renorm(5, 'vegamag', bp_k)\n", + "#sp.convert('Jy')\n", + "#sp.convert('um')\n", + "#plt.plot(sp.wave, sp.flux*10**(10*0.25))\n", + "\n", + "#sp_sci.convert('Jy')\n", + "#sp_ref.convert('Jy')\n", + "\n", + "#plt.semilogy(sp_sci.wave/1e4, sp_sci.flux)\n", + "#plt.plot(sp_ref.wave/1e4, sp_ref.flux)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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qdhRndmFkYrLg89NDOmrODU6ug7a7UVdf/TzjYX+Ce8jT7MKxAvLVOHbR6xNd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+WNDXpW+uUJ8YASaWRSDcVkOLHS3KNqU1SiW1vTtIBbUop78dFbJSO6uSEEjt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0C48F3Q52sblT2KJIOwf28MkhcYY6FgzWLqSzskKtoxSTfq0205EOKh8T2d2Roh91BlViuZC721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\nUk02GO9A0cA2NUtqpVnTMs2IQPIA45u2t22KJBkT4NQM5VPQxF1+2mmUx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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "hdu1 = psf_star1\n", + "hdu2 = psf_ref1\n", + "vlim = 5e-8\n", + "ext = 0\n", + "if ext==0: vlim = vlim/16\n", + "\n", + "webbpsf.display_psf_difference(hdu1,hdu2,ext,ext, -vlim,vlim, title='', imagecrop=5, cmap='RdBu')" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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ld6RJQiBV1SZ9/WwArL6mv3xp+lsA6bKPp014H5RBpOSIhw1W1s1NYKXqQED7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\nSqpqglklgVmlqqaoO6c+OT3MSxXYF0Ja26g89hRRrfqBaHL752ttmRcYE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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "hdu2 = psf_star2\n", + "hdu1 = psf_ref2\n", + "vlim = 5e-8\n", + "ext = 0\n", + "if ext==0: vlim = vlim/16\n", + "\n", + "webbpsf.display_psf_difference(hdu1,hdu2,ext,ext, -vlim,vlim, title='', imagecrop=5, cmap='RdBu')" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "SIMPLE = T / conforms to FITS standard \n", + "BITPIX = -64 / array data type \n", + "NAXIS = 2 / number of array dimensions \n", + "NAXIS1 = 636 \n", + "NAXIS2 = 636 \n", + "EXTEND = T \n", + "PLANE1 = 'Wavefront Intensity' \n", + "WAVELEN = 4.36053339409786E-06 / Weighted mean wavelength in meters \n", + "DIFFLMT = 0.1223021480547469 / Diffraction limit lambda/D in arcsec \n", + "OVERSAMP= 4 / Oversampling factor for FFTs in computation \n", + "DET_SAMP= 4 / Oversampling factor for MFT to detector plane \n", + "PIXELSCL= 0.01575 / Scale in arcsec/pix (after oversampling) \n", + "FOV = 10.017 / Field of view in arcsec (full array) \n", + "NWAVES = 10 / Number of wavelengths used in calculation \n", + "WAVE0 = 3.91990500000000E-06 / Wavelength 0 \n", + "WGHT0 = 0.1138050954863674 / Wavelength weight 0 \n", + "WAVE1 = 4.036115E-06 / Wavelength 1 \n", + "WGHT1 = 0.1398818694203659 / Wavelength weight 1 \n", + "WAVE2 = 4.152325E-06 / Wavelength 2 \n", + "WGHT2 = 0.1288292828358244 / Wavelength weight 2 \n", + "WAVE3 = 4.26853500000000E-06 / Wavelength 3 \n", + "WGHT3 = 0.1184700670565087 / Wavelength weight 3 \n", + "WAVE4 = 4.38474499999999E-06 / Wavelength 4 \n", + "WGHT4 = 0.1090607977182013 / Wavelength weight 4 \n", + "WAVE5 = 4.50095500000000E-06 / Wavelength 5 \n", + "WGHT5 = 0.09991022816703297 / Wavelength weight 5 \n", + "WAVE6 = 4.617165E-06 / Wavelength 6 \n", + "WGHT6 = 0.09075776494801928 / Wavelength weight 6 \n", + "WAVE7 = 4.733375E-06 / Wavelength 7 \n", + "WGHT7 = 0.08143520644924472 / Wavelength weight 7 \n", + "WAVE8 = 4.84958500000000E-06 / Wavelength 8 \n", + "WGHT8 = 0.07232876090535227 / Wavelength weight 8 \n", + "WAVE9 = 4.965795E-06 / Wavelength 9 \n", + "WGHT9 = 0.04552092701308311 / Wavelength weight 9 \n", + "FFTTYPE = 'numpy.fft' / Algorithm for FFTs: numpy or fftw \n", + "NORMALIZ= 'first ' / PSF normalization method \n", + "PUPILINT= 'pupil_RevV.fits' / Pupil aperture intensity source \n", + "PUPILOPD= 'OPD from supplied FITS HDUlist object' / Pupil wavefront OPD source \n", + "INSTRUME= 'NIRCam ' / Instrument \n", + "FILTER = 'F444W ' / Filter name \n", + "OFFSET = 0.0 / Source offset from center in arcsec \n", + "THETA = 0.0 / Degrees CCW from inst +Y in sci frame \n", + "XOFFSET = 0 / Source xoffset in sci frame (arcsec) \n", + "YOFFSET = 0 / Source yoffset in sci frame (arcsec) \n", + "JITRTYPE= 'None ' / Type of jitter applied \n", + "JITRSIGM= 0 / Gaussian sigma for jitter [arcsec] \n", + "EXTNAME = 'OVERSAMP' \n", + "DATE = '2017-03-27T22:39:35' / Date of calculation \n", + "AUTHOR = 'jwstnircam@aegonii' / username@host for calculation \n", + "CORONMSK= 'MASK335R' / Image plane mask \n", + "PUPIL = 'CIRCLYOT' / Pupil plane mask \n", + "VERSION = '0.5.0 ' / WebbPSF software version \n", + "DATAVERS= '0.5.0 ' / WebbPSF reference data files version \n", + "MODULE = 'A ' / NIRCam module: A or B \n", + "CHANNEL = 'Long ' / NIRCam channel: long or short \n", + "PILIN = 'False ' / Pupil imaging lens in optical path: T/F \n", + "HISTORY Created wavefront: wavelength=3.919905e-06 m, diam=6.61099137008 m \n", + "HISTORY using array size (1024, 1024) \n", + "HISTORY Multiplied WF by phasor for Pupil plane: JWST Entrance Pupil \n", + "HISTORY Propagating wavefront to Coordinate Inversion in y axis. \n", + "HISTORY Inverted axis direction for Y axes \n", + "HISTORY Propagating wavefront to Image plane: MASK335R (Analytic). \n", + "HISTORY Padded WF array for oversampling by 4x \n", + "HISTORY FFT (4096, 4096), to _IMAGE scale=0.0305755370137 arcsec / pix \n", + "HISTORY Multiplied WF by phasor for Image plane: MASK335R (Analytic) \n", + "HISTORY Propagating wavefront to Pupil plane: CIRCLYOT . \n", + "HISTORY FFT (4096, 4096), to PUPIL scale=0.00645604625984 m / pix \n", + "HISTORY Multiplied WF by phasor for Pupil plane: CIRCLYOT \n", + "HISTORY Propagating wavefront to Detector plane: NIRCam detector (159x159 pixe\n", + "HISTORY ls, 0.063 arcsec / pix). \n", + "HISTORY Propagating w/ MFT: 0.0158 arcsec / pix fov=81.904 lam/D npix\n", + "HISTORY =636 \n", + "HISTORY Multiwavelength PSF calc using 10 processes completed. \n", + "HISTORY Calculation completed in 36.321 seconds \n", + "HISTORY Created by POPPY version 0.5.0 " + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hdu1[0].header" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/coronagraph_properties/coronagraph_references.xlsx b/notebooks/coronagraph_properties/coronagraph_references.xlsx new file mode 100644 index 00000000..f1b5974b Binary files /dev/null and b/notebooks/coronagraph_properties/coronagraph_references.xlsx differ diff --git a/notebooks/generate_speckle_maps.ipynb b/notebooks/coronagraph_properties/coronagraph_speckle_maps.ipynb similarity index 100% rename from notebooks/generate_speckle_maps.ipynb rename to notebooks/coronagraph_properties/coronagraph_speckle_maps.ipynb diff --git a/notebooks/coronagraph_properties/eps_eri.pdf b/notebooks/coronagraph_properties/eps_eri.pdf new file mode 100644 index 00000000..e3f3256e Binary files /dev/null and b/notebooks/coronagraph_properties/eps_eri.pdf differ diff --git a/notebooks/coronagraph_properties/references_gamma.pdf b/notebooks/coronagraph_properties/references_gamma.pdf new file mode 100644 index 00000000..82f09093 Binary files /dev/null and b/notebooks/coronagraph_properties/references_gamma.pdf differ diff --git a/notebooks/coronagraph_properties/references_magnitudes.pdf b/notebooks/coronagraph_properties/references_magnitudes.pdf new file mode 100644 index 00000000..60e8f164 Binary files /dev/null and b/notebooks/coronagraph_properties/references_magnitudes.pdf differ diff --git a/notebooks/coronagraph_properties/references_sptype.pdf b/notebooks/coronagraph_properties/references_sptype.pdf new file mode 100644 index 00000000..adce8f26 Binary files /dev/null and b/notebooks/coronagraph_properties/references_sptype.pdf differ diff --git a/notebooks/development/contrast_Krist-Copy1.ipynb b/notebooks/development/contrast_Krist-Copy1.ipynb new file mode 100644 index 00000000..1747d7f0 --- /dev/null +++ b/notebooks/development/contrast_Krist-Copy1.ipynb @@ -0,0 +1,1206 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Makes print and division act like Python 3\n", + "from __future__ import print_function, division\n", + "\n", + "# Import the usual libraries\n", + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Enable inline plotting at lower left\n", + "%matplotlib inline\n", + "matplotlib.rcParams['image.origin'] = 'lower'\n", + "matplotlib.rcParams['image.interpolation'] = 'none'\n", + "\n", + "# seaborn package for making pretty plots, but not necessary\n", + "try:\n", + " import seaborn as sns\n", + " params = {'xtick.direction': 'in', 'ytick.direction': 'in', 'font.family': ['serif'],\n", + " 'text.usetex': True, 'text.latex.preamble': ['\\usepackage{gensymb}']}\n", + " sns.set_style(\"ticks\", params)\n", + "except ImportError:\n", + " print('Seaborn module is not installed.')\n", + " \n", + "from IPython.display import display, Latex" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pynrc\n", + "from pynrc import nrc_utils\n", + "from pynrc.nrc_utils import (webbpsf, poppy, pix_noise)\n", + "\n", + "from pynrc import speckle_noise as sn\n", + "\n", + "import astropy.io.fits as fits\n", + "import multiprocessing as mp" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "pynrc.setup_logging('WARNING', verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "data_path = webbpsf.utils.get_webbpsf_data_path() + '/'\n", + "opd_path = data_path + 'NIRCam/OPD/'\n", + "opd_file = 'OPD_RevV_nircam_132.fits'\n", + "opds, header = fits.getdata(opd_path + opd_file, header=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "nopd = opds.shape[0]\n", + "nproc = int(np.min([nopd,mp.cpu_count()*0.75]))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 1.67 s, sys: 3.57 s, total: 5.24 s\n", + "Wall time: 55.7 s\n" + ] + } + ], + "source": [ + "# Multiprocessing or each OPD\n", + "%time opds_all = sn.opd_extract_mp(opds, header)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 25.9 s, sys: 3.56 s, total: 29.5 s\n", + "Wall time: 29.4 s\n" + ] + } + ], + "source": [ + "%time opd_obj = sn.OPD_extract(opds[0,], header)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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fY8OGDVi5ciV69Oihzz0szGQylXiMrVu34qOPPsKFCxewc+dOdO/evcjQoLFj\nx+LgwYM4d+4cTp8+jW7duvm9HhERAbvdjrlz52L//v1o3LgxfvzxR2RlZaFjx474/fffUVBQgPT0\ndCxZsgSHDh3CnDlzEBcXh48//hibN2/GyZMnERkZiQULFuDkyZM4duwYWrRogdjYWL9jNW3aFKtW\nrcL69etx+vRpOBwO7Nu3D40bN8Y///lPHD9+HMeOHUPnzp0xfvx4pKam6n+Ldu3aYdeuXfi///s/\nbN++Hc2aNcPPP/+MjIwMdOrUqch5CwkJwbJly7BhwwasXbsWBw4cwKxZs/Sblk6dOuHLL7/EypUr\nkZKSggcffFDvRNq0aYN169bhiy++wIEDB/Tqm775X8uXL8fZs2cRERGBH3/8ET/99BNOnDiBBx54\nANOnTy/S7uPHj+PDDz/Epk2bYLfbMX78eAiCgOeeew7p6en6tmPGjEFGRgaOHDmCxx9/HLVq1cKK\nFSuwceNGdO7cWa8GWViTJk1Qq1YtvPPOO9i4cSPWrFmD2rVrY/LkyRAEATzPo1OnTnrFQd+Qfd+w\nv3bt2uGHH37A0qVLsWHDBtSqVQsjRozQqxz7/q0kJiYiJSUFW7ZswcmTJ/H777+jXr16mDZtGtLT\n03Hq1Ck8+uij6NixI9asWYMvv/wS69evx/Dhw9G0aVPMnDkTv/zyC06cOIEGDRqgXbt2iIyMxMyZ\nM7F582b8+uuvmDFjBqKiovDee+/p/3YfeOABfPTRRzh06BCOHTuGtm3b4u6778b27duxZs0amEwm\nDBgwAHv27MFnn32GdevWwWq1YtKkSZW2TBAhRBtKO3v2bBw+fBiKoqBly5a488479ev8+PHj8dtv\nv+HcuXPweDxo3bo12rZti59++knv66KiojBy5EhwHIeWLVvi119/xeLFi7Fjxw40bdoUO3fuxOXL\nl5Gbm4t//etfOHfuHCRJwl//+lekpqbigw8+wL59+xAaGop9+/YhLy8PVqsVn376Kc6dO4fQ0FD8\n/vvvWLNmDU6dOoXY2NgiS9klJCQgLi4OM2fOxMaNG2Gz2TBr1iyYzWZ89NFH2Lx5M06dOoVjx46V\numpAYmIiPvnkE7zyyit+FdXvvvtupKamYv78+X5ttdlsuHr1qt5/nD59Gt27dweg9dO///673nd2\n6tSpxL6yUaNGOHv2rL4KQ5s2bTBjxowi1+HVq1dj5cqV2LRpE0aNGoWOHTvCarXilVdeQUZGBk6e\nPIn777/CnU3aAAAgAElEQVQfb775Ji5duoQLFy6gd+/e+M9//oOvvvoKX331FUJCQvD6668XqRad\nkpLidy906NAhbNq0CSdPnsQdd9yBb775Ru8XGzdujMTERL/3R0RE4MiRI/jkk0+wceNGfPXVV3jw\nwQfx0ksvgeM4JCYmltg/xMbG6n3etm3b0LhxY2zfvh3PPfccwsLC/PrV1q1bY8qUKUhPT8fVq1ch\nSZLffdhDDz2Etm3bYvbs2UhJScE333yDMWPG4N577y3S1x85cgTr1q3DyZMnERcXh3vuuQf5+fn4\n+OOPcebMGbzwwgtF5pEbjUb06tULX3/9NZYuXYqNGzfi559/xoQJE/Shv02aNNHvwdavX49atWph\n4sSJMBqNiIqKQuPGjfWK1Fu3bsXkyZP1asuF++MmTZoU6bOXL19epN+NiYnBrFmz9ArXEydOxJkz\nZ4rty4u7Rzp58iSmTp2qn9OoqCjMmTMHaWlpsNlsaN++PUwmExYtWoRffvkFgwYN0u+zN2zYgH//\n+9948cUX9QrhpHw4Rj8FEFIhvvk/n376abCbctPk5+f7zaF+6623YLFYSsxEEEIIIeTmKNxHZ2Zm\n6svJFM6UE3IrqvI5tIwxjBgxAi1atIDH40FaWhpmzpyJpUuXYu/evfp2I0eO1CuvEUKqp6VLl6JD\nhw5o37498vLysGPHDsybNy/YzSKElAP1y4TcejweD0aPHo0VK1YA0IboPvTQQxTMktvCTSkK1bJl\nS33i96hRo/Q5foUnmxNSk2zdulUf1jRr1ixMnDgx2E26Kdq0aYP58+dj8eLFsNvtGD58OB588MFg\nN4sQUk7ULxNyazEYDEhISMAzzzwDQRAQERFRrmUICanJbuqQY1mW8cwzz2D69On46aefYDAYIIoi\nFEVBcnJypVVPI4QQQkjZqF8mhBBS0920gHbXrl3417/+haSkJIwZMwZnzpxB3bp1ERISgpUrV+L4\n8eN49913S3y/y+XCsWPHEBcXp69nSQghhFSEoijIzMxE8+bNb9ugjfplQggh1UlF++abXhRq/Pjx\nSEpKwsCBA/Xnzp49i5deeglbt24t8X2//fYbBg8efDOaSAgh5Dbx5Zdf3vbD5qlfJoQQUp2Ut2+u\n8jm0Z86cwcWLF9G5c2cAQL169ZCWloZ//OMfGDduHADg/PnzqF+/fqn78S2C/eWXX5Z7TbRbUffu\n3Ytd2+t2RefjGjoX/uh8+KPzobly5QoGDx6s9y23E+qXqw79+/JH5+MaOhf+6Hz4o/OhqWjfXOUB\nrSiKWLt2LU6cOAFJknD27FlMnjwZy5cvx8yZM2GxWHDq1ClMnTq11P34hjPFx8ejXr16Vd3sGoHO\ngz86H9fQufBH58MfnY9rbsehstQvVy06F/7ofFxD58IfnQ9/dD6uKW/fXOUB7R133IEFCxYUef61\n116r6kMTQggh5DrULxNCCLmV8MFuACGEEEIIIYQQUhEU0BJCCCGEEEIIqZEooK2hxowZE+wmVCt0\nPq6hc+GPzoc/Oh+EVB369+WPzsc1dC780fnwR+fjxtz0ZXsq6uLFi3oFMJo0TQgh5EZQn3Lj6BwS\nQgipTBXtVyhDSwghhBBCCCGkRqKAlhBCCCGEEEJIjUQBLSGEEEIIIYSQGokCWkIIIYQQQgghNRIF\ntIQQQgghhBBCaiQKaAkhhBBCCCGE1EgU0BJCCCGEEEIIqZEooCWEEEIIIYQQUiMZgt2A29n2Y+n4\n6pfTSM20oUFcOAY83AhdmicGu1mEEEIIIYQQUiNQQBsk24+lY1bKQf3xuasF+mMKagkhhBBCCCGk\nbDTkOEi++uV0uZ4nhBBCCCGEEOKPAtogSc20Ffv8hazinyeEEEIIIYQQ4o8C2iBpEBde7PP1Y4t/\nnhBCCCGEEEKIPwpog2TAw43K9TwhhBBCCCGEEH8U0AZJl+aJ6H5/Xf3xnbUjMLFvSyoIRQghhBBC\nCCEBoirHQVTXEqb/9/QBD6F2lDmIrSGEEEJITSDb7VCdThgtFnA85SYIIbc3ugoGkcMj6/99OccR\nxJYQQgghpKZQnE6okgQ5Pz/YTSGEkKCjgDaIHO7CAa09iC0hhBBCSE3AGAOTtfsHxemE4nQGuUWE\nEBJcFNAGkbNQhjadMrSEEEIIKQOTZYAx8CYTwPOQ8vP1AJcQQm5HFNAGkX+GlgJaQgghhJTOF7zy\nJhOMkZGAqkLKywtyqwghJHgooA0iX4ZWNPBIt9KQY0IIIYSUTpUkAABvNEIwmyGYzVA9Hsg2W5Bb\nRgghwUEBbRA53DJMRgHx0aG4nOMAYyzYTSKEEEJINebL0HIGbaEKQ2QkOEGAbLNB9XiC2TRCCAkK\nCmiDyOGREWYyIDEmFHa3jAKnFOwmEUIIIaQaY5IEThD05Xo4nocxKgpgDFJeHpiqBrmFhBByc1FA\nG0ROtwKzaECidz1aKgxFCCGEkJIwRQFTVXBGo9/zvMkEISwMTJYhFxQEqXWEEBIcFNAGkcMjwywK\nSIgJBUBL9xBCCCGkZPr8We9w48IMERHgjEYoDgcUl+tmN40QQoKGAtogUVQVbklBqMmgB7TpVsrQ\nEkIIIaR4TFEAoEiGFgA4jtOGHnMcZBp6TAi5jVBAGyROj9YphYoGJMZoQ45p6R5CCCGElISVkqEF\ntMrHhogIMFWFlJt7M5tGCCFBQwFtkPjWoDWbDKgdbQbPAek05JgQQgghJVBlGeB5vcJxcQxhYeBN\nJqhuNxQH/VBOCLn1lXxFrCSMMYwYMQItWrSAx+NBWloaZs2aBafTiXnz5qFevXq4cOECxo4dC4vF\nUtXNqTZ8AW2oyQCjwKN2lJkytIQQQqoc9cs1E2MMTJZLzM4WZoyKgicrC1J+PjhRDOg9hBBSU92U\nDG3Lli0xatQovPrqq3A6nfjuu+/wz3/+Ex06dMBLL72E7t27Y/bs2TejKdWG0+MNaEWtk0mICYPV\n5obL+zwhhBBSVahfrnmYLAOMFTt/9nqcIMAQGQkwBjk3l9a5J4Tc0qo8oOU4DiNGjAAAyLKMjIwM\n3HXXXdixYwdatmwJAGjVqhV27NhR1U2pVhzewNWsB7S+SseUpSWEEFJ1qF+umZis3TeUNty4MMFs\nhmA2Q5UkKDZbVTaNEEKC6qbNod21axdGjBiBrl27olmzZsjOzkZYmFYMKTw8HPn5+VBvo4p8hYcc\nA0AiBbSEEEJuIuqXaxZ9yZ4AMrQ+hshIcIIA2WaD6vFU6LiyzQZPTg5leQkh1dZNm1TxyCOP4JFH\nHsH48eOxcuVKxMbGwm63Izw8HDabDZGRkeD5suPr7t27F3luzJgxePnll6ui2VVGH3Js8s/QplNA\nSwghlWrhwoX48MMPg92Maof65ZqlvBlaAOB4HsboaHiysyHl5kKMjQUXwN8U0JYIknJz9UCYyXJA\nw50JISQQldk3V3lAe+bMGVy8eBGdO3cGANSrV09/fPDgQTz22GM4cOAAunTpEtD+tm3bhnr16lVh\ni28Op/v6Ice+pXuo0jEhhFSml19+uUhwdfHixWIDsdsB9cs1E5MkcIIQcEDqw4siDOHhkG02yPn5\nMEZHl/kexeXS17LlBAFMUbSAmgJaQkglqcy+ucoDWlEUsXbtWpw4cQKSJOHs2bOYPHkyDAYD5s2b\nh3PnziEtLQ3jx4+v6qZUK/brhxxbaMgxIYSQqkf9cs3DFAVMVcGHhFTo/UJ4uLaMj9MJPiQEQgn7\nYYxBzs/XlvvhOBijosAJAjxWq54hJoSQ6qbKA9o77rgDCxYsKPa16dOnV/Xhqy2nRwEAmEXB+/8G\nxISZaMgxIYSQKkX9cs2jz5+t4PI7HMfB4F3KR3W5ig1oVVmGlJurZYINBhijo8EbjXogyxSl4h+A\nEEKq0E0rCkX8Xb9sD6DNo83IdUJWqAgHIYQQQjT6/NkbGPLLG40Az+vBcWGKwwFPVhaYJEEIDYUY\nG6sXn2KqCsXhgEoZWkJINUUBbZBcX+UY0AJalTFczXMGq1mEEEIIqWZ8AW1FM7Q+vMEAJstg3urV\nTFUh5eZCysvThhhHR2vDjDlOf49ss0Fxu6E66d6EEFI9UUAbJL6A1lwooKWlewghhBByPVWSAJ4v\nV4Xj4vjez2QZqscDT1aWNq9WFGGqVQuC2VzkPb5iVKrbTcOOCSHVEgW0QVLckONEi1bpmObREkII\nIQTQCjUxWb7h7CxwbQ1bKS9PK/SkKDCEh8NosRQbLPuyuZwgQPF4qDAUIaRaumnr0BJ/DrcM0cDD\nIFz7TSFBz9DS0j2EEEII0TKkQPnWny0Rx0HKzQUnCPrwYt5kKnFzVZL0bC6TZSgeT6nbE0JIMFCG\nNkgcHllfg9bHF9CmWylDSwghhJBC82dvcA1YpqqQ8vOheocQi7GxZQanqiRBttvBVBVMUbTlfAgh\npJqhgDZInB7ZryAUAESFiggVDTSHlhBCCCEAri3Zc6MZWiZJgKpCCAuDEB4Oji/7FpB5M7SG8HBA\nUaBSQEsIqYYooA0Sh1v2mz8LaOvEJcSE4nKuA4yxILWMEEIIIdWFrxDTDQe03v0YQkMBVQ1oPqzi\n8QAcB8FkAngeClU6JoRUQxTQBoHKGJwexa/CsU+iJRRuSYHV5g5CywghhBBSnTBJAmcwBJRRLXU/\n3oDWN8y4rHVlVVkG83j0oc6cKEKVZShuuj8hhFQvFNAGgcujdSqholDktYQYrdIxDTsmhBBCbm9M\nUcBU9Ybnz/r2BVwLaH3Fpkrc3jvc2JcZ9lVZVuxUuJIQUr1QQBsEvjVoQ01FOyi9MBRVOiaEEEJu\na/r8WaHoD+AV2ZeUlwd4pzSVmaH1eMAURQtoOU4PqqkwFCGkuqGANggc3jVozcVkaBN9S/dQpWNC\nCCHktuab58pVQoZWcTrBFAWq2w2O5wPK0KqyDF4UwYuiNuxZEKC4XGCqesPtIYSQykIBbRA4fQFt\nMXNor2VoKaAlhBBCbmf6kj03WhBKVcE8HnCCoGV9DQZ9OHOx2zMGxRvw8kajHsxyBgOgqlBpHi0h\npBqhgDYIfEOOw8SiHVRspBkGnqM5tIQQQshtTpUkgOcrpcKxKsva0GXGwPmeL2HYMZNlMEkCbzBc\nC2YFQcvsyjIFtISQaoUC2iBwukvO0Ao8h/iYUFymObSEEELIbYsxBibLN5ydBQoFtN5Kyb4CUSUG\ntN6CULzRqP3PVxjKaARjDKrHc8NtIoSQykIBbRBcm0NbfCeVGBOKfKcEm6v0+S2EEEIIuTX55rje\naHYWgLbUjqqCD9WmNflWuldLmEeregNaGAzgvEOOtcZoxaFUj6fE9xJCyM1241dJUm7XqhwXf/q1\npXsycTnHgXsSom5iywghhBBSHejzZyuhIJTqcgEABLNZGzIsSYA3A1zs9pKkVzjmDAZwHAdwHBhj\n4EVRLy5VWttku13bB8f5v+Ddl/9TnP4ax/P60kKEEBIICmiDwFcUKrSEDK1eGMpqp4CWEEIIuQ2p\nlZihVZ1OAIAQEqItxyNJYCh+6R7GmJYd9mZjfcGmrx2cKEJ1ubR5tOHhxR5Pysu7oeV9xLi4Shlq\nTQi5PdDVIggcpcyhBa4FtFQYihBCCLk9lbZkj1xQAMXphBgXVzQDWgzfUj2+zKditwOqqmVdZdkv\naPbNn+UEwS+o5A0GbQ4uY+B4Xsviqqo+L9dHys+H4nCAqSpEi+XaGrre9W8ZY37bo9Bj1e3Wlhfy\nDncmhJBA0NUiCBxlZGgTLWEAKKAlhBBCbleqN9AsLmBV3G5t2R1JAieKpe9HVaF4PBBCQsBxHHjv\n9sxb7ViVZQiFgkfVt/6s0egXTPsqHbNC1ZJV73595IICKHY7mLfNitMJ0WIJ/ENz3LWAlhBCAkRF\noYLA6daqC5Y0hzY+2gwOQDpVOiaEEEJuO0yWtSJOJcxR9QV8gVQbZi6XlgXlebgzM7VsrdGozaH1\nDS8uvH2hglCFj895M7TMuy8Afsv3yHY7ZJsNnCDAEBqqZXE9nqIZ2VL4MsUU0BJCyoMC2iC4VuVY\nKPZ10SAgNjIE6ZShJYQQQm47vrmtxc2fZbKsD9MNJKBV3G7ITickqxWuy5fhzsgAL4rX1pS9Lnj0\nDSXmBcHv+PrQYUAbZsxxekCrOByQ8/PBCYKWkVVVb2NZudas9R3Dt6wQIYQEggLaICiryjGgzaPN\nznfBI9NFnRBCCLmdlLZkjyrLUN1uyDZbmUvnMFWFKz0dUmYmmHd/st0O8Lw+fLhwhpapqhYwc5w2\nxNibZVVcrmtFobzbcgYDmKJAKiiAlJcHjudhtFjAGQx+QWy5AlqO0/ZLGVpCSDlQQBsETo8MA89B\nNBSfoQWAxJgwMABXKEtLCCGE3FbUUpbsYYoCxemE6naDSVLJa8l6PHClp8OVng7wPMz16sEYFaXN\nvS0UMDJFAfNmVJlvuR6OgyrLcGdlwXnxIhznzmnPFyoAxQkCVLcbnsxMwBvM8gYDVFkGU1UIZjPA\n8+UKaH37Zaqqt4kQQspCAW0QONxyiRWOfRIt3qV7KKAlhBBCbitMksB5s6hFXvMGjLzJpA0ZLmbY\nsWSzwZmWBnd2NiAICElIQEjt2jBERAAAFJsNnNGoBY6F1qOVHQ5IubmQ8/OhOp1awOx2Q5Wka1la\n73q0TJYh5edDlSSIMTF68O0LYHlRhGAyaWvWliPjSvNoCSHlRVWOg8DhkUsdbgwACTFU6ZgQQgi5\n3TBVBVMUfYmd66myDMXjAWc06lnawu+VrFa4MzPBFAWG8HBwHAdDWBg4QYAQEgJeFKE4HOBDQ7Us\nqyRBys8HB8CdnQ3ZbodgNsMQFQVDWJge0Kput1b52Jt19QXFgtnsNzTaF2DzoqhXLVbd7oDXleUN\nBiigebSEkMBRQBsETreM2lHmUrfxrUVLlY4JIYSQ2wcrpSAUAKguFySrFUp+vhbUyrKWtQW07GpB\nAXhRhCk+HrzRCKfTqQfHvCiCN5uh2Gz63FiloAAsOhqGiAhwPA9DWBiMFgvEmBjINpu+HqzqckEw\nm6EyBiknB4LZjJC4OC3YLbR8D/N4tPm3BgP4wtWQw8LK/OyqxwPZbvfLGhNCSFkooL3JGGNwemSY\nS1iD1ifRG9BShpYQQgi5fbDS5s+qqpaRVRTAaNSynhwHT24upOxsyE6nll2NjARUFe7MTMh2O4zR\n0dq6toIAzmiElJurDwNWFQW8KEKsVQsAIAPgBUGb/+py6ZlVxeWCgTEo+fmAqkIIDYUhMhKe7Gyo\nbjeEkBC9QrJg1n6053gevNGoLd+jqn5zcIsjewNtJsuUoSWEBIwC2pvMLSlQWekVjgEgLMSISLMR\nl60U0BJCCCG3C7WUCse+ZXYYY1pw6s28ygUF4E0mmGvVghgTo81zlWVIvkys06kVb4J3XVqOA1QV\nxpgYcEYj+JAQvRATx3HXhjOrKoSwMPCiCNXphJyfrz0XHq4NKfYFvt55s37Djb14k6lIFrc4TFW1\nNXJ5Hmo5590SQm5vFNDeZNfWoC371CfEhOHMlTwoKoPAc2VuTwghhJCarbQhx0xRtOJMACAI8GRl\nacOEw8NhvvNOiBaLngVVZRlGmw2C0QhDVBQEUQSTZXAmE0yqCqgqeKMRgsEA1eOB6nJprxsMWlbV\n5QIAbd6t0QhnZiaEyEhtXq6vWJU3u+t7b0kBLWw2PYtbksLVkBljlKElhASMqhzfZE63doEONZW8\nZI9PoiUUssqQle+s6mYRQgghpBpQvUElxxX9IZvJMlSnEypjUAoKIBUUgOM4iHXqwBQb6zekl0kS\nOMYgmM0wRkbCGB0NMTYWJosFhvBwLRPszfQybxaXyTI4UQR4Xq9qzAkCFJcLTFEgiKJWKZkxvT2C\nN0usuN1+82d9eFHUC0mVRnF673U4DhxjgLc4FiGElKVKM7RpaWmYP38+mjVrhsuXLyM6OhqjR4/G\nhx9+iL179+rbjRw5Eu3bt6/KplQbvgxtqKno3JjrXSsM5UCd6NAqbRchhJDbA/XN1ReTZS1zWlqF\nY7dbq1IcEaEFqrVrQ/AuwVM4oFU9Hq1ackhIkWyvEBJybb1X33GdTm0oM8dB8Xig2O3gDAa4vXNv\nBe9+OO8wY8YYVFmGIVS7P5Htdm1urblo0UveZNKqHUtSiXODVY9HXxbI9xzzHpsQQkpTZkBrt9vx\nww8/4OTJk8jJyUFERAQaNGiAHj16IC4urtT35ubmonfv3ujWrRsAoHfv3ujatSsAYPny5ZXQ/JrH\n4fYNOQ4gQ1to6Z6Wd1ZpswghhNQg1DffmtSyKhxLEpjbrWVLIyMhmEzw5XGvn6PKvAWa9CAUWmEn\n3mjUqh1717EFx0F2ucBLEuALLHkeqsejrS9rMkGMi9OrIhujorRg2FtdmTMYwBkM2jzekJBig3E9\noPUu/XM9xeXS1r0F9Hm8VBiKVAbGmDYSoYyCZKRmKzWg3bJlC95//300btwYCQkJiI+Ph8vlwuHD\nh7FixQo8+eSTGDlyZInvv//++/0eM8Zg9v5yt2TJEoiiCEVRkJycjJBS5lXcSpy+DG1Ac2i9GVpr\ncJbu2X4sHV/9chqpmTY0iAvHgIcboUvzxKC0hRBCiIb65lsXK60gFGPa+q/egNMYGakN/fUWiWKS\nBPiWzvFmTzmOA+8dvqzKMqScHHCCAENkpFbtOCcHjDHIVitUxiCGh0PwDhEWLRaEJCbqRZpcly7p\n68lyPO8XcPImE1SrFZwgFBuw+oJc1eUCwsP9XlOcTrjS06E4HDBER+ufB9ACfMrPkhsh5eaCSRJM\ntWsHuymkCpUYVR05cgTHjx/Hpk2bIBaa3F/Y119/jZSUFPTt27fMA23duhWPPPII7rzzTvTs2RN1\n69ZFSEgIVq5ciRkzZuDdd9+t+KeoQXwZ2rKqHAPXAtpgLN2z/Vg6ZqUc1B+fu1qgP6aglhBCgoP6\n5lubL0Nb7LBcRdErD3OCAEN4OJgkQbLZ/AoyAdeys+A4PTvLJAmqogAuFzy5uVpW1G4HbzRqQ5MB\nGGJitPVoAS3o9Wa1eEHQij+53X7BNlMUMMYgmEzaMY3GYoNxjue19xdavkdxOrVleiQJitMJQ3g4\nhJAQuKxWbd6td8gxITfC98NLIMtGkZqrxKjqvvvuwwMPPFDqm59++mlI3l8TS7Nnzx7s2bMHkyZN\nAgDcfffd+mvt2rXDp59+Gmh7a7zyVDm2hJtgMgpBCWi/+uV0ic9TQEsIIcFBffOtjUkSOJ4vdt4o\nk2UtKPV4tOJMYWFgkgTZF9BKkj4HVvUOH+ZFUSvq5PHAmZYG5+XLEKOjtWV9PB4IZjOE8HDILpf2\nWBS1NW69c2YL40NCIOfnQ1VVrT0A4K1GzDhOC6C9mdXi8CYTVI8HUl6e9h5J0gJugwGixQJjZCRk\nl0vP/nIGAw05JjfO931VFApob2ElRlXGYn4dLOzzzz/HsGHDytxu+/bt2L9/PyZNmoSrV68iPT0d\n33//PcaNGwcAOH/+POrXrx9wg7t3717kuTFjxuDll18OeB/B5CxHhpbjOCTGhCI9x653UjdLaqat\n2OcvZBX/PCGEVFcLFy7Ehx9+GOxmVIrq2DfX9H65umDeqr4lFYTyZWGZLIP3ZjNVb+CryjIE77Bj\nThS1bKmigAFwZ2dDvXQJcn6+tsRPZCRMcXHwZGXBk5enBcKKAlVRoHg8EHgeQmhokaBaMJkgA2Ae\nD1C4mrI3A+YLnpmiFB+QA/Dk5IA3GGCIiIBgNsMQHg7ZZoOiKOCMRsBmA28wQPF4tGHThYJ0QiqC\nFQpoUcZ1kdxcldk3B1TleMeOHViyZAmysrKgqioYY8jPz8ewYcNKfd/x48fx2muv4f7770dycjJc\nLhcGDx4Mo9GImTNnwmKx4NSpU5g6dWrADd62bRvq1asX8PbVzbUqx4EVmE6ICcW5qwXIc3gQHVZ8\nJ1cVGsSF49zVgiLPx0cXrV5ICCHV2csvv1wkuLp48WKxgVhNUl365preL1cXpa0/63tddjrBFEVf\nC5bnOH3IsK9SMC+KkB0OSFYrZIcDvChCCA+HsVYtMG8FZSEkBKbatSEXFEDKz9ezv3J+vjb0t4RK\nxYC2XiwvCFALtUuVJC2gNRi09WZDr63MoLrdkAsK9GWCwHEQ4+LAGwxgjEFxu7WlfrxBK2c0gvOO\nMGCSpGWMSzgnhJTGF8wCoGx/NVSZfXNAV4jZs2djypQpqF+/vlZ5jrGAIupmzZrh4MGDZW53O7lW\n5TjwgBbQlu65mQHtgIcb+c2h9cnMc+HQ+SwkNYy9aW0hhBBSFPXNtxbVG8QVN38W0AJHxWbTltDx\nZVB9c1O9Q5Flux2yywVnWppeddhUpw5CEhPhyc7W5sByHBS3G4awMBhjYyGnpoIpChSHA4rDoc13\nLSZL7BuCrLpc2jxbntcCaUXRhy8D2nq0QmiodrxC83p9bWHe4dCAN9urquBDQ/VtOYNBzwCrkqRl\nnymgJRWhqvrwexQKbsmtJ6ArRKNGjdChQwe/50aNGlUlDbrVlafKMQAk+JbusdrRtF5MlbXreg81\nioPAc/pNUv3YcDzQoBY270/F5JX7ML5vEjrel3DT2kMIIcQf9c23lrIytIokQfF4wPsCTkEABy2j\nqdrtUBwOSDk52vxYSYIxOhqm2FiY69bV1nZVVQihodo8XLcbCAuDITQUhqgoSAUFkJ1O8Lm52nqz\nxcw15E0mreKx2w0uOhoQBDDvUj6+9WdVj0cPrJ3p6eCNRphq14YhIgK80QjF5YKUk6NleUVRey8A\nwWyGbNOmNPFGo/YZFIWW7iE3hDEGxWaDqigwREUFuzmkCgUUVT333HOYOnUqmjVrpldV3LhxIxWM\nqACHW7swBzrkODFIlY5/PnEZisowrMs9GNTxHv35dvfWwfQ1v+Hdrw/g5V7N0bt1g5vaLkIIIRrq\nm28thYskFXlNVaE6nYAsgzMatQwtx2mVin1BoqJAMJlgjIqCoU4dbU1YoxGcIOjZT8FkggLo1YZ5\n77NFVb8AACAASURBVDq2viHMitMJyW6HISqqyLxVThDAGY1QvHNoOY4D4zgoTicEk0kLsjkOisMB\nT1YWwBgEsxmixaLvgxdFbRu3G4aICKjeIlC+LDNnMGhDjr379q11S0iFeKdigDFtNAC5ZQUUVS1e\nvBgOhwNu71AVAMjIyKjSht2q9CrHgQa0Fi1Dm36TA9ofDl8EB+BPD/jPi2p1Vyz+kdwOk1ftw4Jv\njyHX7sGgjo2oYAMhhNxk1DffWlRF0QK6YvpTJstQnE4t0+Qd2uvOytKzoYrHAyE0FMaoKAgREVq1\nYuDakj2+7K8gaMWdvEOUOaNRW6/WYIAhLAyqywXFZoOUkwNjTIwWNHuHIhuioiCIIiSbTcv4+trt\ndoM3GvXMqmy3w5Odrc2pNRr9lkvRg1e3G4rTCebNGquyrA09Npm0IlA8D8ZxesaXkIpgvoAW15bE\nIremgKIqm82GVatW+T23Y8eOKmnQrc7plsFzgMkQWOnw2lEhEHgO6Tn2Km7ZNelWO46n5SDpzlqo\nHVW0MMS9idH457Pt8eaXe7F8x0nk2N0Y9Vgz8BTUEkLITUN9862jcEBXHF9AywHgzGaoLhfAmDa/\n1JsFFcxmCCEhWibKZAIY0wNatdBwZs5gAGw2qC4XBEEALwiQZVkLQL2BsOp2Q7JaYYyJ0bLAkgRP\ndva1pXp8QaZviSDvvnnvkGTZbkdIRISWaZVlfb+Ad/ketxtyfr7+2Lc/XhS1ANtoBC/LUBjThyUT\nUl6s0NxZFsBSZqTmCiiq6tixIy5cuOD33PWPSWCcHhmhpuJ/gS2OwPOoHWW+qUOOtx65BAD48wMl\nV62sVysc7z/XAQ3jIrDpt1TMXncQHpnmuRBCyM1CffOtw3ezzZVQEEqVZch2bQk/wWCA7HZDdbth\nCA2FMSYGprg4bRkft1vLvHoDWd/w5cLzc3lR1OfCFl7mRwgL0yome4cKqx4PPFarNt+W57Xg1e2G\nYrdDkSRtKLO34I5+PJ7XMq+Kolc6vn7IsOAN2qX8fK2olcl0LSj2DpHmjUY9q6u63XqWjZDy8M2/\n9v2wQvOxb10BZWi//vprLFq0CDExMRBFUV8aIDk5uarbd8txuOWAKxz7JMaEYv/ZLDjccsBzbytK\nZQxbj16EWRTwSJP4UretFRGCucPaY+q/92HH75eR75TwVv/WVd5GQggh1DffSnxBH19CQShVkvT5\npgwAZBl8dDTEWrUAjoMnKwuKd76pWmiYpT7kWFHA8bweJPImExSnE7LDoRVgkmUIERHgBQFKQQEM\njRvrw4elnByYateGGBMDxeOBcuUKPFeuwBQfrwUJ3iHCvs/BJAm8IGgBtscDVZJQeFVartByPaIo\ngvMOLQbP60sQcQYD4K2A7JtHW1KwT0hJCv+Q41vnubg1kknNF1DkER8fjxUrVuiPA10agBTl8MiI\nKefyOwmFCkPdHR9ZFc3SHU21IiPXiT+3qAfH/n04u2kTXJcuIaRuXcQ//jgs7dv7bR9hNmLW4LaY\nufYAfj11FeNX/IrHWt6BTb+lIjXThgZx4RjwcCN0aZ5Ype0mhJDbDfXNtw59SHAJQZvidGpZTJ6H\n/eRJFBw5Ao/VqvfNoQ0basEuY9cCQI4DJwjac4riFyzzISFaQGu3a1krntcqIAsCZJsNqtsNY1QU\nmKrCk5UFOT8fYq1aCImPhyc9HbLdDj4vT69w7AtoFacTDAAfGqrPsy0xK+Z9H/MGrb7h1pwg6ME3\n4/lrmTUKaEk56Rlag0FfYorcmgIKaJctWwbzdYtsjxgxokoadCtjjMHpllHPW+gpUL7CUJdz7FUe\n0P5w5CIAoDuu4vyi5frzrrQ0nF+0CACKBLUmo4C3/toa8785iu8PX0TI/47gcevvqO3Jx9Vzkdh8\nuikwrA8FtYQQUomob751MEnyy6D6vcYY5IICgDE4L1xA3p49+mu+vjmsUSOY69fX5siKIpgsQ7RY\nYKxVS7uJZwx5hw8jc9s27UfqxERYOnVCaMOGWjBpMGhDgUURUn4+pLw8CCEh2v+8walcUABDZCQM\nUVFQnE4A/5+9N4+S66qvhfe5U9Wtqat6UEtqTZZkg7ENAQ9gnHwYjMEGHAhTcJjy8VbyXkjI9wJZ\nwAvJ4yUkmAeEsOLgBL8VCEPAOPGHYwc+jG1sgr0cW9iAZ6O2JbWkbvVYXeOdz/n++J1zunqSW1J3\nq7t191peVldX1T1VXd3n7rv3b28gqtW0TVkIgahep+CpbBbR9DTNxy40uygVZAHo0CfVv6sVNMOA\naVmkTgeB7sFNkWKp6CS0Ktk7xcbEkgit4zi4//77MTExoW0saTXAiSNKOGIulpxwrKAU2pVOOvbD\nGPc9NYL+LheZ/7wLC8UwHLzhBgzffDPsSgV2uQy7u5v+X6ngd/aUwe/fjyuOPTyz9rCGa489gLtv\ndXH5+f/3oseeeuABHHseNThFihQpUswg3Zs3BpQV8vkCoSAEWk8/veB9WoODaA0OzrudmSb1bzKG\naHJS3+4fOYLhb30LlcsuQ37vXpj5PEzX1apqVK0i29+P6n/+J479+78jHB9Hpr8fm9/8ZmQHBsii\nXCiAyfVF1SoMmZJsOg4MSWjNOAYrFmclHfM4BhjTYVBCJSArQiuJPWMMLJOB8H0kvg877RFNcYLQ\nhNY0tRMgxcbEkpjV7/7u76LVamHHjh0w5ZWzY8eOrejCNiLagazsOeEZWqXQriyhve/pY/DCBL/x\n8gH4Dx9d9H6Cc7SefVYnx3XiikUe84r992H4lhJseXXXKs38u/7oo1r9BY6vBqdIkSJFCkK6N28M\ndM75LfZ93m5DRJFOBl7ycycJoqmpRb9fvf9+VO+/n47vONRHa1lEcLNZNJ96St83OHYMh778ZWz9\nrd+COzAAcA6rVCLC7fvwh4bA4xh2V9cMeZXqrIgiMEnYueeBMTbzWKn2Gh1JyMw0AdOE4TgQSUKp\nzilSnCD07LhlUTp3mnS8YbEkZtVut3HTTTfNuu2BBx5YkQVtZHghXSk60dCkzVqhXdnqHmU3vvLF\n2zA9MAD/8OF593G3b8e5n/40BOeI63VE09MIp6YQTU8jqlYxcuutWCi/Oc9DHLv11hNaz+jtt6eE\nNkWKFCkWQbo3bwwo0mcslnAchuC+DwHA7upCND097z5WuYzSBRcgqlYRN5uIGw0k7Ta4JItLgQjD\n45Jfhcl77sG297wHcbMJZhiwe3rAwxBRvQ4RhrBLJVJ6ZZIy5xy8Y0Y2CQKAMdiFAuJGA3GrRUS6\nw27NLGsm0EqIlNCmOCmIJAEY08naaafxxsWSmNWll16KoaEh7NixQ9928OBBXJqSjRNCO6BNK3eC\nCm3WNtFdyKyoQjtW8/CLA5M4b3sFW7vzyF5zzSzVVKH/mmsAkCXILpdhl8vI7dqlv3/0/v+EOT5f\nIUgqvXjhf/sdRLUa4nqdyLD8f+2RRxZckzc8vDwvLkWKFCk2INK9eWPg+RTauNVCIhOOSy95CSYX\n6Boe+M3fRGbTJvAkAUwT0eQkctu3I7NpE1oHDuDgDTcsTFZNkyp6fH/JdsxgdBQAkLTbNNdqGJRq\n7DjgAKLpaVi5HEzXRRxFSFotiEJBv1YRRTAyGZiui7BaBQ8CGJXKrGMw09ShVowxJEEwy7acYnHw\nIEBYrcLp6Vn0IsmZAh2OJi+Q8FSh3bBYErO69dZbceONN86rBrj22mtXen0bCm2p0LrOiUeGb+3O\n48nDU4gSDttc/j/odz92FALAlS+h7tnuSy/F5E9+gsZjjwGGAXdgAP1LmGvd8463LkiE91z7ThRf\n9KIFH/Pkn/zJgmpwprf3xF9IihQpUpwhSPfmjQERRYA86V4IKnWYZTKwe3pmfS+7bRs2//qvo/KK\nV6Dx5JPUM5vJIIwiCCFgOA6cchn9b3gDjnzzm/Oeu/fyy1F40YuQP/tsIEngDw8jajTQ3r8f1Qcf\nRNJszl8QY/CHh2FXKnAqFcAwEPk+hBDIbNqEqF5H4nkwpVKbNJvg3d0ApDoLwMxmtQLLo2jea9fB\nUMp2HMc0nyu7bVMsDh6GgBDgYXhGE1ohBIWPGYbuXtY1U2whL2GK9Yy0tmcV4ckZ2lzmxP/AbKnk\n8PjQFEan29jWU1jWdQkhcOcvjsCxDPxf527RtyfNJphl4SU33rjkP4qK8I7cdjvaR46gmqvgot9+\n13GJ8OZF1OBwagr1xx9H6fzzT/AVpUiRIsXGR7o3bwzwOCYFaZGT7KhWA49jWKUSgqMz+RZdF16I\n7e99L5yenpn0VsZov2aM7L5JAsE5yhdfDKtUwujtt8MbHkZ2yxZ0XXgh3J076f5CUE1PFMHp7aV5\nVsPAxJ13zl9QkmDkllvQd9VVyO3YQeppGEIAYIzResJQ1wUJzokY9/ZqC7QhE4sZYzTbKEPNFBSh\nZYzBzGYRN5tIgiAltEuAqoA64wOQOKffiw6FVlX3LHbxKMX6xUnX9lx33XUrsqCNjLYmtCeh0HZ0\n0S43oX3q6DSOTrVw+Xlbkc8SceVBgPbQEPJnnXXCV/i6L70U3Zdeij/79kN4aHAc33jRrzzv/QHo\njdbduhWFc8/FxI9+hMHPfx67fud30H3ZZSf34lKkSJFigyLdm9c/lJpmLHKCzaMIca0GWBYs14U/\nMqK/lzvrLJqvlXUkzDRhGAaRWtm7qWZPmWnqvRkAwloN3qFDgGFQ7kUcw7BtUrGiCFYuh+zOneh5\n1avQeOIJhFNTsEolqg+Szzt2++3I9PYi09+vSYIQAgZjcPr70RwcRNxoUO2O7wOmibjRIIJar5N6\n226D+z6SVksfn5nmrOoepoKhPA+YY01OMR+KyJ7pnauCc+o6dhwisFKhRZIAKaHdcFj0J/rII4+A\nMYaXvvSl8zZMgK6ajY6O4pFHHsHVV1+9oovcKGiHJ5dyDKxsdc+dv5BhUNJuDACtAweAJEF+796T\nft6L927CQ4Pj2Dc4hjdeuPO49+3caBXKF12E5774RRz8h39AND2NTW94Q2oTSZEixRmNdG/eOBCc\nI6rVAMwolnMRt1qIPQ+mbcNwHAQdhLZ03nn6PoZlkQplWWBCUDdskugE4bmKVNJsQggBy3WpeidJ\nSCl2HEBWCCW+D7tSwY7f/V24W7ciajTQ2r8fw9/5Ds3FJgmGvvIV9F15JXJnnw2TMSK2tg0eRTCz\nWW31BGi2VtUCJZ5H4ZKeBx7HCCcndTctAKoawoxCy+MYXNqVUxwfisie6YRWKf+GnMM2LAtxEKTv\nywbFoszqZS97GT760Y/i1ltvxWWXXYYtW7Ygl8shCAKMj4/jkUcewaOPPorrr79+Nde7ruGFSqE9\nGUK7MtU9YZzgP54cRk8xg5eeNTOzqvrsTpXQAk/gocHx5yW0C6F47rk450//FIOf+xyO3nQTwmoV\n237rt9JQiBQpUpyxSPfmtYvE88CjiFJ+l4C4Xqc+V1mRsxDCyUkgimCWy4jrdSRtOgcwslnkdu9G\nNDUF7vvgUtVUaqaRzQJJgrjdJjI8h9DG9ToYOmZZZZKw4Tjgvk8BOq0WRBjCKpVglUrgYYjs5s3Y\n/oEP4MjXv07KMecYv+MOlKen0XXRRXDKZSLDMjDK7uqasUNzDqevD5lNm8AMA7HnEZEuFolwuC4M\n00TcbiOu1Wi21jTJZswY4hNIbD5TIeJYXxg404mb4JzmZaXabzgORKNxxr8vGxXHZVaf/exncfvt\nt+Pmm2/GM888g2q1imKxiF27duH1r389vvzlL8Pp6A1LcXxoy/FJKLTacjy1vNU9DzwziqYf4+qX\n7oBpzKifrf37AYCCIk4SWyo5bOvJ42cHJhDGCRzrxK3W7vbteMEnP4nBz30O43fcgahaxa7/+l9n\n9dWlSJEixZmEdG9em4hbLbLrzqmgWey+iefBsG1YxeKi9wsnJyEAWKUSmk8+qW/P7d4NZhgwCwXw\nahVJvQ7DdcEYQxwEMPN5JO02kmYTZqUyS6FNfJ/IolRPLVmfw4NAK6MiScjKDCLPjDHYpRISue6B\n97wHwzfdhGhyEgAw/eCDiBsNDLzznXQQzmGVy4h9H9zzYFgWokaDknflWhjn9PpLJX0fq1CgUKtq\nFUmrBXAOu7tbE20ex4vas1PMIbFyhlnbt88wiCQhy7H6vDkOXbhJk443JJ73r8I111yDa2RVS4pT\ng7Ycn4RCW3RtFLLWsluO73p0vt1YCIHW4CDs7m44MpnwZHHJ3k34fx88gMeGpnDh7r6Teg6npwfn\n/Nmf4bm/+RtMP/QQBut17P7v/x1WPn9Ka0uRIkWK9Yp0b157EB1hPOw4FxR4GCJuNKj+rlJZdJQm\nbrfJTiztxp3zswV5sdnMZhExhrjdRrari0hoHMMqFCCiiLphS6VZpCZuNAAAlrSsG45DhDEM9Qxr\n3GiQaprJQKggp0wGVlcXvOFhMMPA1ne+E8duvVXboJtPPomj3/kOtr/vfWC2DSufp0ogqcQKIWal\nzCpiYRUKCD2PLMWFAiUzVyq63s/I52FKCzT3fRiF5c0R2UhQgVCzApDOVEIrnQHq4hKTeTBpF+3G\nROrdXEV4p6DQMsawpZLHSLUNPicN8GQx2fDx02cncM7WLuzsm7lCHI6PI67XT8lurEC2Y2Df4Pgp\nPY+Vz2PvRz+K8sUXo/n00/jlX/4lwiUUwKdIkSJFihQrDZEk2up5PAVIcE6zpELALpePSzai6Wmy\nG8tk38752dzevfqEXQU3qq+V5diwbSS+P2s2VQiBuNmkk3z5OGbbMDIZWrucU43bbTDLgl0sUlqy\nvN0qFsEsS6u3vVdeifw55+jnbz71FA7+wz/o90Otnfs+DMOgx8qKH1XXY1gWDNvW4VYAkWynpwcw\nDCSNhibDKuQqxcJQF1XUz/NMtteKDnIPgObMZehZio2H1LexiphJOT65t31LJYf9IzVMNnz0leaH\ngZwofvT4UXAhcOWLt826XduNl4HQnr+jgqxtYt/gGP7b6xbuoV0qDMfBWX/wBzjyzW9i/M478cyf\n/zn6Xvc6TN1/P/yjR5EdGMDmJXTlpkiRIkWKFMuJzoqU49WlRNPTEEmirbWLgUfRTHBTJgMehog6\nLuJmNm1COD4Op68PUCfqYQihgplMEyyTIRLYsR4eBNRPmsnAUHUmUomFtB3zMJwhxa5La/F9ug/n\nsMtlhOPjiKanYXV1oec1rwEYQ+uZZwAA3qFD+OVf/RXMTAbh5CSc7m4UL7gAlUsuoVnYZhO2ZQGc\n6zAsI5OhNOQggCmVY9N1aR6Zcx1wlSwjoeVhiKTdhtXVtWECJxWBVXPMZ3J1jya0ynJsmoBhpJbj\nDYpUoV1FeKeQcgzMJB0vRzCUEAJ3/eIoLIPh8vO2zvqeCoQqnML8rIJjmXjpWb04MtnC8DLM/zLD\nwLb3vhdbf/M3EU1NYfimm+AfPgxwDv/wYRy84QZMPfDAKR8nRYoUKVKkWCo6lbDFVLG42QQPArLu\nHmduFgDNvwYBVfE4DvwjR7TSmtmyhVKMOaeT9igiEmiaEB12SjOToRP4jnRg7vszlmjVWQtSeZlp\nIpyeJkuwYYAxRtblOCYy2W4j8Twi446DJIqIPDOG0otfjPLLXz6z/nod4fg4wDnCiQlM3nMPmvv3\ng9k2RBxTbQ9m1OW5CjFABETN2Jqui8TzltWZpV7PRkpPFnFM75skcWe0QitfeyehZbK6RweVpdgw\nOGlCOzQ0tJzrOCPQDhMwAFnn5OYZti4joR08VsfB8QZefk4/SrnZsz7NwUEwy4K788STiRfCxXtp\ndnbfs6dmO1ZgjGHzm94Ee5H53tHbb1+W46RIkSLFekO6N58e8OdRaHkQ0FyqacIul4/7XIJzxO22\nJr+G48Dr+Lnm9+7Vx0jCEDyOYRaLYKZJqpwQRH5NE4ZpgkviKTifSUmWM76so2ee2TaSZhMMs4mm\nkc2SQlyrwR8ZQVStUo8n5wgmJhDUahBJgsy2bei+/PJFX9fUfffBlMcNp6fpmPJrVe8zl9ACdCE7\ns3kzDNtGODmJSJLhU4U+1gYhN6IzBEq+d2c0oZ07QyuTwIVU/FNsLCxZKnz00Udx8OBBcPkBue22\n2/CVr3xlxRa2EdEOYriOBeMkrS1buykEaTmUTh0GNcdunPg+vKEh5Hfv1hvaqWJmjnYMb75417I8\nJyDnixaANzy8bMdIkSJFirWMdG9eGxBxTGRRCBi5HATn+kRaJInuYLXL5edNQE7abYgwJBssY2C2\nPXt+9qyz9L+559GsaiYDMEYn62Gog5cMWePDw5DUyDCkqh7GaK0dicFKuRKMAYZBYVGmCTOTIcIs\nk4q570PIpORwdBRGoYDc1q3gUYTCuedi6sc/njW3qxBOTCDxfZiui3BqClzOzyoYmYxeo+E4RMwY\ng4hj2KUSrHIZSaOBcHIShmXp+dyTQee87kYhN52KJGNMB0OdqRBxTOFjQYAoSWCXStRFKy31WKZz\n3BRrA0sitNdffz0ef/xxHD16FBdccAGGh4fRkCl5KZYOL4zhZk4+bU5Zjk816ThKOO55fBhdOUer\npwrtAwcAzk+prmcuNnW52NVXxC8OTiKIEmTs5Uncyw4MkN147u1bty5w7xQpUqTYWEj35rUDRRqZ\nZSFptbStVwhBc7OcwyqVnrdyTgihZx+FYZDCmiQIJyb0fXK7dul/q+oflVQMxijFNUkgQHOoPI4R\njI/TRWpJVBXhVAqtmrVlpglIG7Hqf+VxDJNzeoxUt1gmg+zWrWQrThJKQw5DiFYLTl8fwrGxea/N\ncBz44+PI79ih369Z31eENghmFGRJyphtw8rl9HxvVKsBwEmT2s5jbxTSN29m1LLAg0Bf3DjTIJIE\nYAyJ72v7PJRVf4P8zFPMYEmW41qthi9/+ct45Stfieuuuw5f+9rX8PKOWYkUS0M7iE8q4Vihp5iF\nbRqnbDneNziGWjvEq8/fCsuc/RFQ87PLEQjViYv39iGMOR49NLlsz7l5kcoKlZaYIkWKFBsZ6d68\nNqCsngAlqSaeh7jZBAAkzSapoq67pKo57vvaNirCEDAMxNPTOt3XyGYpCAogsikTg5kkq2YmA2YY\nmlSbcgY2nJgAM02YuZwmN2qmEKD5XgbArlSQeB7AGEzX1YmwPAgQjo1ROJRpItPbi+ILXgC7XIaV\nywGGAbunByyXQ+lXfmXR1zZ2++3wjh7VKcmdIU9GJkN2646LMsoiCiFg5vOkKmezYIaBqFbTFuoT\nhbYbSwV4I2Buqi87w23HIkkAw9AXb0QU0UUdmZidYmNhSYRWFbS3WjNW15EO+0uKpaEdxCfVQatg\nMIYtlRxGqqdmOb7rFwvbjYGVI7SXnE2244cG51+1PVl0X3opdn3wg3C3bwdME9mBAWS2bEH7ueew\n/3//71mbYooUKVJsNKR78xpBksyE8chwo7BaRdxqEVG0LFil0tKeSs3AKiLHGNrPPae/n9+zR898\nmtkszcdyDsOyKJnYdcFsm6zBcUz9skEA7vuwymWgg9x09nIqpdcpl5H4PinK5bKu1oGs3DFzOTh9\nfdRRzzmRXml1dioVZPr6UL7wQgy85z3IDgzQ4zqsnc2nnsKRb34TweQkgmPH0D54EOHUFKJaDXG7\njWh6Gv7YGGJJVDtJmem6es7WqlROmtQKzsEluWGGsWEI30IhSMDxU7c3KoR0EyhrPQD9+wBgQwWB\npSAsiV0999xzuPPOO3H22WfjrW99KwqFAuzUe35CiBOOKOGnpNACZDsemmii7oUouce3Li2EWjvE\ng/vHcNamIvZsnr3BCiHQ2r8fdnc3bVbLiBdtqyCXsbBvcHxZ7S/dl146q6aHRxEOffnLqD74IJ75\n1Kew94//GJlNm5blWClSpEixlpDuzWsDXM6eMsOAmc/D8n0kngfvyBHYXV1LmpsFiFjyMASTNmO1\nT/oduRD5s8/W5JlJEqvuJ+IYhmXBKhQowbfVojXJtGMh50aZYWgSDEAnDlulEimW8mTfzufB220w\nxpDZtAmBVGiV0usND5M6C1K/uCSd4BxdL34xei67jIKwbBuHv/lN1B9+mF7P4cOYuOMO9F1zDcJq\nFUYmAzObRdxogLfbiNpt+MPDKOzdq8mZSBJSn2WPLWMMdnc3IkmGgaXbj3kYktLbURW0EWy5qULb\nASFmzYMDUqFVhDat7tlwWBK7+tKXvgQAME0Tvb29qNVqePOb37yiC9toaIen1kGroIKhRqrtkyK0\n9z5+FDEXuPIl2+b98Q7HxhA3GihfcskprXEhWKaBl53Vi/uePoYjky1s7y0s+zEAshvv+uAHYff0\nYOz738czf/7n2PORjyC/e/eKHC9FihQpThfSvXltQCiF1rJgOA7MfJ6CiyQBW2rAok4gNk3Evk/2\n5TBEMDqq75PbvZuU2AU6bBVxsctlRI0GgtFRZLduhd3bi7heRzg9DUN2cYJzSjX2PHBZ+2M4DlmA\nGQMTAiybpeRk3yeVNwh0Zy2PInDfh1ksIlEzr5yDex6sXA5CCO2SskslbHvXuzCSzaJ6//0AgHB8\nHGPf/S42v+UtSMIQVqkEZtuwe3vBR0cRjI0hu2XLrGAtI5cjQhuGEFEEM5eD3d2NYGwM7aEhWMUi\n7HJZE9/FoNQ5ZXFWz3+8x6wH6AsdUjE/kwmt4FwrtOpcl8cxLGlXTwntxsOSLMemacKUvxhvetOb\n8O53vxt33333ii5so6EdnFoHrYIOhjrJpOM7Hz0KgzG85vyBed9bKbuxgrId71tG2/FCYIaBbdde\ni+3vex/iRgP7/+qvUPv5z1f0mClSpEix2kj35rUB3Wspa0G454HZNoxslsKWlnDyLDgn9VPae3kY\nQjAGHkVUkyORk3V6hm2TrbLzOSRxsYpFcDnHy7JZZPr7AUA/j64xsSwinSowB6RiqXoT1WcqoghJ\nuw3u+0TYXZeCroSAlcvBzGbptQoB4ftghkGPk322huPAsG1suvJK9L72tYAkGFG1iqPf/jZa9biV\nkgAAIABJREFUzzwDb2gIRiaD3I4dyGzZAh6G8I4cmWWbNTMZmDLoSL2nSm0VcYxwchL+8DCC8XEE\n4+NkR5b26U5wOZvMZPeuev71DME5kVjLQuL7CEZH9edhvb+2kwLn2rqvIOKYfu5yPn3u70+K9Y0l\nsavHH38cX/va1zA+Pq6rAQ4dOpReCT4BeMEyKbQn2UV77+PD+PqPf4mjUy24jolfHJzE5efPTgNW\nhLawjAnHnbhoDwVZPDQ4jre+YuUV074rr4Td3Y0DN9yAZ7/wBez47d9G72tes+LHTZEiRYrVQLo3\nrw2IJNFBTjwMaT7TcZDZvBm81UI0PQ2nt/e4ltak1SIbrOsiaTZ1CnA4NaVnADNbtpA6GgQQAOJa\njQhzGCIJAn2SzpNEP8ZwHG05jmo1mIUCTGk35p4HkSSwCgWtTvIwJGJuWUAcw8hmEbfbRGiDAFZX\nFwzHIZtyksAsFmGFIQyphAlQwFS2VEIwPq47d5llwchmUXjBC2BkMpi46y492ztyyy3oefWrsemK\nKyCSBO7WrQiOHUM4NobMli36PWaGASOXQ9Rs0qxxklAism0jt2sXYnl7EgQwASSqSknWF6kqICFf\nl6q2Uc+/ntFpN1YBYonvk9V8nb+2k4GQhFbXZKpZWiHoPZEKbifhTbG+sSR29fGPfxzvf//7sWPH\nDvqDJQS+8Y1vrPTaNhS05fgUFdqhCUpO/Pq9v8R/PDmCd122dx4xnYt7Hx/Gdd/9mf7aCxP9dedj\nm4ODYJYFV14BXm70FLPYu7mEx4emqMLoFN+LpaB84YU453/8Dzz7hS9g6KtfRTA5ia1vf/u6n5VJ\nkSJFinRvXhsQcawrbeJmk6yzrgvTtsHyeSStFuJ6HXZX18KPF4KShaWymcjn4p6HoKP+Jr93ryYu\niSTKPI4RNxoI5MgQ930wZR0WAuHEBAyp+IajozBzOSSWhUxfH2I1YyvTl4UQ2j6sKl/MfB6YmqLU\nZsOg6hxpPwYAM5OBUy4TuRaCHhdFCKemYFcqOqWYWRYpw4whs3kzdn/0ozj4t3+LuFYDOMfk3XfD\nsCz0XnEFnEoF7rZtaO7fD//IETjd3ZqUqeRlf2QEmc2bYbou7K4ueh25HL0nQUBBXDLhOZHr5UGA\nxPOQeB6cSgWxZSGRr2Otkr640SAlvFA47hx2ZyBUIkPieBCc0YQWnOv5Wd1+ISugOtPEU2wMLIlR\nbNu2De94xztm3bZFXjU7Hg4fPowvfvGLOO+88zAyMoJyuYzf//3fR61Ww1//9V9j27ZtGBoawoc/\n/GF0L3MI0VqDthyfgkJ77+PDuPHOpwAAAsCBscaCxFQIgSBKUPci1NohvnrP0ws+3033D+rHJb4P\nb2gI+d27lzzvczK4eO8mDB6r4+cHJnHpC/pX7DidyO/di3M++Uk8+7nPYfS229B8+mkkMnQiOzCA\nzddcMytYKkWKFCnWA9K9+fSjs7In8X1Y+TycSkV3yVrFIimo7bYOP5oLdXJt5vMzhFVWz4UdqdWF\ns8+GiCJShIUAk/U5EIJIqOyMtVwXZj6viVwwOYloelqnCFvZLAIh4PT2zgqsElGkg6UM19Wpyarb\n1sxmYeZyCMbGiOzmcmRV5hyJbevU47jVgj82hty2bUTMZZAUAJrPNQy4mzdjz4c/jANf+pLurB2/\n4w5M/eQnSHwf2S1bULzgAgqgkscVnCMJAiLdQQCrUIDdkR7NDAN2pYK4VqPqpEYDdqUCq1ikZOMg\n0BZlHkVoDw2BxzGcYpHCrNYYeBjq+ifu+7BKpQU/P0CHQsvYDIEVgizkktSeSeRNE3z5teE4M+4J\n29YKf4qNgyWxq3e/+9248cYbcd555+magK9//eu4/vrrj/u46elpvPGNb8RrpM3zjW98I1796lfj\nO9/5Dl75ylfiqquuwj333IPPfOYz+OxnP3uKL2VtwwvpFyfnnPwflJvuH1zw9r/9/mP4/34+hHo7\nQt0LUW+HCGO+4H07odReAGgfOABwjvwK2Y0VLt7bh2/fN4iHBsdWjdACQLa/H+f8z/+JX/7FX6D1\ny1/q2/3Dh3HwhhsAICW1KVKkWFdI9+bTD5EkOjkYMojHKhbJohvHsBiDXS4jnJhAXKtRVcwcYqEU\nNSuXQ1SvU2pyFAGmiaCD0Ob37gWXAVQAddLa5TIRRjmzand1wR0YgGGa4JJgJq0WzGwWdqkEM5ej\nJGXPo1CnjmRgHoZEYh0HVj5PCp8QZE+OIlI8hdBkwMhmYRUKpIiapn4vwBh16Erbc9Juwy6XdVAR\nM02EU1MwXRe7//APceQb30DzmWf0fQHAP3oU/tGj6Ln8cjDTRHbLFgSjo2AgVdjMZnVKcyeYfL/V\nfHA4NQWnXKaLCa4LI5tFRpH0IIBIEgqlWoNzprH8XJiui8T3EVWrSDIZUqTnfIb0vKxSsqUzgEcR\nzEzmjCW0Qim0mQzQbNIFG3nxRYWhpdgYWBKh/d73voeHHnoIAwMzQUJDQ0PP+7gLLrhg1tdCCLiu\nix//+Mf44Ac/CAB42cteho9//OMnsuZ1CU+nHJ+8+nlovLng7a0gxs8PTCLnWCjmbOzqK6KUc1By\nbZRyDu59YhjTrXDe43Z0JA2vdCCUwgsHyihkbewbHFv1mHy7VFo0xXD09ttTQpsiRYp1hXRvPv0Q\ncUwnz3IvU9ZaZhgzxNOyYBWLiOt1RLXarFo8rRpls4BpUq+sfE7u+zPJx5kMMv39CCcnweXzmrkc\nTNcF932E4+MQcQxbzrgatq0VV+77MF0Xmc2bYVgW4jAEB81bJu22JrWa0LouPW8YQoQhKcf1Oiyp\nPMfSHm0VCnSsTIb2ctumWV71fhgGBVxFESnZUv0VpolwbAzuzp3IDgxg78c+hkd///fBPW/e+9t4\n/HHYfX0A58jt3Amnp0cTNR5FWIyiWYUCmGkiqtXI/tzVRfu/qnIRgkif79P61phax+XPzbBtSm6O\nY8T1OinuExOwCgVY0ioOSIVWphsD1FGsfvb6M3oGoVOxBqBrrrhMIwfS6p6NhiUR2v379+Puu++e\nRT5uu+22EzrQXXfdhV/91V/FWWedhcnJSeTlL2KhUEC9XgfnHMYSetrWK1o65fjkr5Dt7CvgwFhj\n3u07egv40u/8Khxr4ec+d6Aya4ZW4V2XzZDX1SK0pmHgoj19uPeJYRwab2LXpuKKHm8u/I6r3Z3w\nOnr+UqRIkWI9IN2bTz9UIBQwc9IMYKZeRl64VYonDwLErZYmI8pSauXzpMrK2VnBOQVCSbg7d5Jt\nVpJMldBrOA4S9Zy5HCmhcQxhGOCepxUoZllUpyNnRq1iEYbjIKrXdd2QiCKgM5nYccCDAJm+PiJV\n2SyC6WkkzSasYhFWsTjzumUdUNJuQ0QRnEpFpw8zw0AiX5MitoIxUkwVuZDrmotwagoiDBFVqzDO\nP5+IaiYDIRVmdHVBCEHfz2RmkTzTdYnUVqu6q5YnCSDVZae7G+HUFBFalRK8Rj7rSrVX882GZcHp\n7iYrdb1O5NbzKKTLtqm3WCrpYAzMtsn+3WjQRYY1qECvJOa9XsMgq7HngUk3i0gJ7YbCkgjthRde\niFarhUJhRtE7EWXtwQcfxIMPPohPfOITAIDe3l79fM1mE6VSackb5hVXXDHvtj/4gz/Ahz70oSWv\n53TAW4YZ2nddtndBYvruXzt7UTILzMzX3nT/IIYmmtjRW5gVJiWEQGv/ftg9PbOuHK8ULt5LhHbf\n4NiqE9rswAD8w4fn3e5uPX6wVooUKdYvrr/+evzd3/3d6V7GsmOt7M3rdV9eDnSqX6rmBiACiTAk\nQidzKbT1uNEg26MQlNKbyVBysCQxse9DCIGwo382v2cPRBwjajSIZJZKcCoVTXDBOcx8nuzBYajn\ncmGasMplJJLwRkEAu1iEI3tfRRTRXG1X1wyhk9UmKlEZQsAulXSgEhiDmc/reU5mWfSfTNgVnMMq\nlWgtMq2ZyWTZpNUiMm4Ysz6ri+3NTk8PMv39REqnpuB0dcHMZBADRJKFQNJskn1YdtN2Pq/hOHB6\nehBWqwjGxpA0m8gMDMCWz2OogCAh1gyhFZwT8TLNeZZY03VhZDKI63UknkehX66re5BV0nU4Pg6r\nXCZFvtE44xRaqKom9XmWJB8dLgAezncuplhdLOfevCR29cQTT+CKK67AWWedBcdxIITA0NAQrrnm\nmud97L333ouHH34Yn/jEJzA2Nobh4WG86lWvws9+9jNcddVVeOSRR3D55ZcvecF33303tm3btuT7\nrxUoy3H+FAjt8xHT53vsYvcLZTpi+eUvP+m1nQgu2tMHBuChwTG845V7VuWYCpuvuUbPzHZi09VX\nr+o6UqRIsXr40Ic+NI9cHTlyZEEitp6wVvbm9bovLwdmWY7lyTMArdSKOAYkoWWGAburC+HUlFYM\nAegOWB4EVLsTBDBMc5ajKH/OOYgaDYSTk3C6u5HdtAlgDFGtBmZZpOTJGdVgaopCm7JZIp1CEOmV\n1TpWXx9ZkuNYz1qGExM6sMmQs5aaOMoAqMTzENXrRBIrFb02QxJaRRCYYZAK6roQ7TZ4kiCRfbqC\nc9ilEkQcI/Y8rfIutjdbXV3I7dmD+sMPIxgZgbttG81DSisz9zx9IUAFP80NTmKWBbtSgXfoEJIo\nAmStEgD9fxHH9LNaZCxpNaEqnMwOtbkTzDBIMXddRLUaKbaNBpxymQh+GIK5LkQQwMjlICYnkXie\nrlA6E8DVRSb5mQcwM3MtA9VSy/Hpx3LuzUv6zfU8b1bIxFKrAZ544gn80R/9ES644AK8973vhe/7\nePe7340Pf/jD+PznP48DBw7g8OHD+NjHPnbCC19vmLEcn9ofy+MR05NFU/XPrrDdWKGcz+CcrWU8\ncbiKlh8hn125VOW56L70Ujx5uArv7jtQblcRWg7cOJhVjZAiRYoU6wHp3nz6oZUvzhFNT0NEEXK7\nds30m86xPhqZDMx8HlG1Ch4EcHp7NaniUUSKqyRWwbFj+nHu9u3wh4fBGIM7MABmWURCOYfT0wN/\neJgU3GYTSbOplcm40aDwKFkZ5O7aBSuf19ZVxhiMbJZmcDmH2dFJyzqIKo8imjf1fdjFIqzOdGGp\nzsbNJpFNxhD7PmxZN8PjmJTpeh1WPg+7q4sss3K+k1mWzrAY+e536XXLQKn24CD84WFY5TLiZhPh\n2Bh1yKoqoqkpCuIqFKiH1vMWTAKOGw3AtuFks2CZDMKJCdjd3TS7LFOc14KKKThH0m7rGqLjwchk\n4PT1IRwfRzQ9jaBaBW+14PT1ASAFUs0SK9J/xkBa3QHM/F9eWFJKvIjjVc9ySbFyWBK7+uxnP4u9\nc8jOOeec87yPO++88/Czn823yALAX/zFXyzl0BsGSqFdje7VE0Vr/34AKz8/24mL9/bhmeFpPHJg\nAr927vPXTCwX7n18GNc9I4BtrwMAODzCHx38PsRtt6Py8pfDPUNVhhQpUqw/pHvz6YXgfEadFQJx\nvU7dr9UqHKmGLUSSrGIR/ugopRPLk2yu5mdV8m6rpW2Tdnc3eBzrtGC7VNI2UqtQoNCmJEEkFTkY\nBpzubj0Dy2wbTl8fKaRhCFYskuLabCJut+H09CAYHdXVQp3hiUYmQz26tRp17FoWrHJ5Fglgpqnn\nZK1ikXo+PQ88DImwNxpE4JMEVqlEVtpMRnfEWvJ45YsuQm7XLnDOceTrX0fzyScBAMPf/ja2v+99\nSFotBOPjyGzdCiOb1evJ9PVRsrScUZ5rHeZxjHByEsw0kd+9GyJJNDnmvg+xhgitmjW2CoUlES0m\nZ5HtSgXB+Dhiz4Ph+/RzrVSItKufxxk0D887gtqEDMti0koPzukzKn/mi4WFplhfWNIn+x//8R8x\nMjKC4eFh/V98hg2YnyrUDO2pWI5XCq3BQTDbhrtr16od8+K9mwAA+wZXVxmdW30UGjb+bdNFYDzB\n0D/+o04ITJEiRYq1jnRvPr3QNTWY6Y0FgHB8XFuQ+QI/Dx4EehaSywocHoZkzQ1DGLY9S53N9PeT\nPVhW7zDLIqJqGGTZZQyJ54FLZc8ulUj1lbZcxhjV3GQy1InreTOWVjnXauXzlHr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JomE34N20amv3+WVbsTx/7lX1DfvRub3vAGuNu26fd7LkyZoBzK2VHVA7vY/U8FKj3asG3EUj02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\nLhwO2z/84Q9twzBs27b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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# For the pupil OPD and each segment OPD, find the stdev of each Zern/Hexike coefficient\n", + "pup_cf_std = np.array([opds_all[i].coeff_pupil for i in range(nopd)]).std(axis=0)\n", + "\n", + "nseg = 18\n", + "seg_cf_std_all = []\n", + "for j in range(nseg):\n", + " std = np.array([opds_all[i].coeff_segs[j] for i in range(nopd)]).std(axis=0)\n", + " seg_cf_std_all.append(std)\n", + "seg_cf_std = np.median(seg_cf_std_all, axis=0)\n", + "\n", + "# These values will be used to vary RMS WFE\n", + "# Set the piston values (Z1) to 0\n", + "# John Krist also says tip/tilt (Z2-3) are 0\n", + "pup_cf_std[0:3] = 0.0\n", + "seg_cf_std[0:3] = 0.0\n", + "\n", + "# Zern/Hexikes to vary: Z = 3-14 (indices 3-7)\n", + "pup_cf_std[15:] = 0\n", + "seg_cf_std[15:] = 0\n", + "\n", + "znum_pup = np.arange(len(pup_cf_std))+1\n", + "znum_seg = np.arange(len(seg_cf_std))+1\n", + "\n", + "f, (ax1,ax2) = plt.subplots(1,2,figsize=(16,5))\n", + "ax1.plot(znum_pup, pup_cf_std*1000, color='steelblue', marker='o')\n", + "ax1.plot(znum_seg, seg_cf_std*1000, color='indianred', marker='o')\n", + "ax1.set_title('Variations of Pupil and Segment Coefficients')\n", + "ax2.set_title('Median of Variations in Segment Coefficients')\n", + "\n", + "for seg in seg_cf_std_all: \n", + " ax2.plot(znum_seg, seg*1000, color='indianred', alpha=0.15)\n", + "ax2.plot(znum_seg, seg_cf_std*1000, color='indianred', marker='o', lw=3)\n", + "\n", + "for ax in (ax1,ax2):\n", + " ax.set_xlabel('Zern/Hexike #')\n", + " ax.set_ylabel('Coefficient Sigma (nm)')" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(1024, 1024)" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "opd_sci_list[0].shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Science and Reference OPDs" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 2.37 s, sys: 3.74 s, total: 6.11 s\n", + "Wall time: 12.8 s\n" + ] + } + ], + "source": [ + "# Generate list of science OPDs and residuals for use in reference drift.\n", + "%time opd_sci_list, opd_resid_list = sn.opd_sci_gen_mp(opds_all)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finished: 1 nm\n", + "Finished: 2 nm\n", + "Finished: 5 nm\n", + "Finished: 10 nm\n" + ] + } + ], + "source": [ + "# For a series of WFE drift values:\n", + "# - Generate a new set of OPDs\n", + "# - Generate a new set of reference PSFs\n", + "# - Calculate the contrast\n", + "drift_list = [1.0,2.0,5.0,10.0]\n", + "args = (opds_all, pup_cf_std, seg_cf_std, opd_resid_list) # Arguments to pass\n", + "\n", + "# OPDs for all four drift values (10x4)\n", + "opd_ref_list_all = [sn.ODP_drift_all(wfe_drift, *args) for wfe_drift in drift_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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DN9mMfDgQFvkrs2/A+DHbRM6gXI4bj4MeQghHlXPmxcF1q0y6S9qoZdRS4Ygk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oFkMkNimyVnLsUQHkfHv2uVdK8QBOdLFUwclZj3ZDArrFpQpCO+NkKJpgyNlYDb9fwdiOYJpL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2PRx4jxD8+P4TQ+G8PJfAwQCkmH+nPCALFbYt71OzCzlQzIRUauRhYjR+sYyAmAJ8YXes9D\ncdsFk6g/PFlK7pWDxtN2QzNnSsEeLug8HswVjiN3uno2GGpBcz+gDbIS0KXKM+1zeuES3WgcoOuv\nnpizePK+ZJZDg51n5Uje/JJ1/lxiefg+IUCmC0lOFNsmEp8o3VAa+f3CxlkAk4f/QQE5SnzivwuQ\nR/pAaZH7ivY3f8XPif1CmxH6RsbS0T0X2mbG0C0BdF01hW3Pq+1lzxjdtmSiIcYBRh/z2Mm50uUl\nCKTzyGz2cV1/OyiNEXk8uF9+4WWX9J9om+R5D+YAYH9jlWWRBxvobDgS0Ml3pP1my6wciey0l64I\nhiIdwMRAI60v0VIhrTOalaNl8uPvY37py5H5TwtQR0AtrR8ihdf1WVbC4C+vMT90DdI0teUJIHZY\n5boBzWjQO6C/p+ddrzXNJZ/j5KtpbOluyfvZypcmEBktna18jNBkAlNP9Gyyw/KZ33pDdLGkbIbW\ncvITUvgp6UllINwSRAZLeg/sZjnAytH7//yfhQclBvcxUmLlZNITW8EYi+7Nvxq/S4YuuItxUhOZ\n4CRRQke5Vvqb4Rpei0PXgOP2wr5jgVzvExDuaSk7l7bldFKhepUyw6UsWUBF4KVSPAvF4qehTazU\nFqtNjX/2lmvGvaNtEGPAGSsXreOSAx7IaYCUxsctOu1WOW8dWsHGSRBH6yUg/OxDx/lz35KCOsnS\nLQN0Nx6exrIEDiBo1yGMFw5Fd0spdB/URiU711eWYH74WkyeeTisr8Q+RvcT9dkKho6MIYXMlmFu\nal93p39/qYvlEMCTfV8oXkoJEgaKWKIgZrb8g7deu/lGdgFiZ2uwwcWSQJ13qWx8XcQ+10pDAI/i\ncUkxGAfkpKTgTQI4VuQB4UIpARmN2cL1sV3Add4op1i3xPXSe2a4bOH7GtinL708XAd7/lRk7AZA\nnfytJUAnXS45lALeSEu6GDAM6EqgLl349yZALl2/Wu/enA4Ar7tiRblTApFMSMWvi6CNv7OBVehR\ngNbzaP8wv29c88a4P8fJC0AmAVw4X6oblsoY0H3U3/5CZiyWoC5l6VQ7IxFtWmXibr0LcRrjSfqo\n3Tid65EDgI5cI0tsXV/8XAnQUWkOfl987rjOWrk96Pb0cwt6FRMMuygvCDAHxJfJg4sccEUPI0AX\ni3WabBsQXzwAPm/qYvnMuY6vTfv5bVDfqeMaZX1BBHm0rvMdWHb++sf/KBi52OnTQpGZFUaKWCct\nKyXrCmU7mzz9Ax7U/TkKgI5+Y19nFmKS9wNAJUNZJimgS90tyVVMF/C1GTs3f/mbR19zu6SpI3iL\nylG0fFdWDCph8KTJWikGNKCy0uDKrBwAvO03o7WOJHknSvoUQcpqReApiDHG170SCUzChl4gVxRW\ntsQ7o/XqXRpeXx9/IoI9oB/IlaZWcZ4hkewcP4oBQKcnBzDLwYydoZIFllO+N5VVLN10F5kPkrWJ\n5b7DACpkrOw6KHdECeRkxkvJuMl1zNJBT253vPySzL2y6G4Z9pfAzX/XgI5EsvfffvocACRulEJ/\nSj4Dua1DFRNPgZtosxLo1c8+lgEI+l6Kn2PjBoG9wOIBiKAuWaoH/lqX+kiNJIW2LRVC/+MKSrsA\ndFSigOppTYZM1Dsk7RvenWettEnWSiPipBnIVdq1chNAjt0IkYAGxGcEuX2I4XIJ+yaKuXfNqgZv\nBMS6tgywSAEmSdcXr609crrpenLO3Airzk2/0+hnAJQBHeCNtLz/EkAn9+kTqb9p7yid/G6nY4zz\n+xq+XlYsHICKjfMrtB4FaJ2LWLkAvrquxeShr/B+WSx80A1cYtwvyRC4W9x4a8bIcRx+wtIhZemA\nrP3K0KI+L69utl+1yyFiQLY9Czl25YBOPVsAL91XTuDP457JE6XIoW9ohu5zq7zj5TvPygEvIDB3\nYGr5BVIQL5CjcECDNiTr0i2lLDjGAJetVmr/US6WKXiCZOXC/glrZl2HjctfKQZYzcRJK0xfjZFS\nwcihoFabdcbYETNAl2zv64Sloe/UvFOTxTLpA3Teyi4UxlA4nN1uOHZu91zYpHz0jhuCi2UsyDsJ\niU8igxMGKEp84uLEz8+0FQOqtIqlsXK3vSdn5YbcK6Xyl7JyQKI4ahauu/mXI9BLEp7EgshemSrG\nzEmreeq6JuLj6Pvi4EtBirQDMXIR2Om4O6O2uVJDSxRf6oum3Yh158QE2wvowjp6j7GIOBUBjixd\nE+LnpqGG1yx8/vWfvLz/He2gyMQmKmMlNCPXhkQnJSDXuVCTLgN3mmVrncPd339WxcXJJd5T+fgS\noJNumKUMl9EmTglQ0JsMRQqNKf5YxHZZYOdgLBYHrgK7W3JiFG2Q6AV0SYIUU8VFifVJVRav+fl+\nA8wmFNuUWZHWbFmi4Ddee8Xoc26nmOkK0Mw4WY8LyU4cuVZWEz+2h1i5DMjxWOGlD8jR7083L4+F\nSxdyjW8VgGODXABv1bkTOXhLQVkpUyVJCewNgEo4h+rs8aiDJKDO/66e47GcofPPym9Yn9iCPpQD\nOvpMgK200DFWfdbn2i33ylRuPDwtro+/y0T9j4Gc/BxE6YSI7yhGjcfzSkYO0CwdA7+4btQCDe7q\nb/1NxshF/TGuy1g68XtUYhRhXFB6omjb1Zlne5OioFsUAV0lxq5eQMdtybfVx08tiuycYuEAZufS\nWnQld9pU5Bizm3FzLxgwB/isklKKulv4WwXXJ1qWHUdCu/74TFsEKKV9eYoIL1YlPiFJE43QdufQ\nPPXteG9OuNENBb5KSTrlUFDrxhWvWgrYMgue/C6vLUFqqvwKpm4zUgJ0RXdLstAG9xtUNeaX37C5\ni22jfOCnr1LMXCwQLrKwwrHrDE368vmnAyoP2EBk5bpOlyIYI5m1IvSjQrbKlIWr7vtMEcj1sXWZ\ncpoCOcnSie0wPl6oPnEE7FYptqUumfw3/DYF5EqsXKEhcsIZQAE63g7ZpkVCFBs/ywylDOhEQpSm\n9vGU737FofyedkkuXamiCyXISKILgbddx9ktS0COWa5umFlLQVsqJVCXnktuTwFd6m75ykO+liSN\nFfwZ8nNkH1PJ2DmkyVBiG6xOHo3tGRDtWLTpPkBnRMwpoPqaBHakTNTf/kLYzxbb86AKkSjqcpHZ\n4IiVu/P6g0Nn21HZuPr1oYbchDMU6/i4CIDzZCdeWxvDyAEp85MwSPRBGGFLoCnGwNHYHQFcdIP0\n+7crB/rB2LLSBKVtI8oTMBjl34I4b3fCsJzM63KuluAKiMqvf26mN2O1Sf8mz7jvnejrGj5WGuj3\nSqzRf4HSVMJaif4uQZ0EckJfJKOtcq8kEe6ZDOKA2PZonyVJUErArlNsXQ7giiwd/7zUkFDWI7kf\nrB7Kt0tds2BUkM+9lOESoDEtd7e8ev+k192SQq6UugAwcIzvXYK6citsndvVsfMFBeZkMhSF2MVL\nA/oHALmejuPvyFE5n08MZEj2o06lqGZeLxouELdz46WO7bDx4tdkQC52JtlBB9wsxX59Qa3NkW9u\nqiOWOuFm2DnAZ8GSz0/dutMLkAyLwqreIbpbcjKU4IKz2H9lz9V3T2T8CTE2zNxYIwawNgN1qpZc\nJz4TyCO57T3x85hYuRSwIbRfoUhKhVGxcKRApSnWTSFOLuyTsmOuj5GTAE1kC8zZuHivqTUeQGT2\nSBTI1ICzJKm7pWrPYpKokkmFXC8l80qArrYxIcrUGkzrrSez2C65YpUyWwZAtAkgF2vRldk0qr3z\nizf4iW0oTo5EgroU0NH2dqBZk3znmfNFdg5AlgwlFcn4RyORdrekdtquXVpsr5l75gCgi/2GzmEE\nUEkWgJOhZG7NI8UAfoym+VIYlrjmZWV33YUtlfkVN3pAV0+4PqLMYsk1RUWMIj3nsUCO9kmBCs9b\nfeAoBXGFebFYlqBboDr14xyElUoT8DVEaYLS9sK54Dq0a4eL83XGMAL9gA4FECcUXAn2gJixWoFA\nqT+J587sZ3KdIpiGGHexd6wcyXUHmk0bpEk4IQqJk6E4IlYOIekJ4IFbJ4AbATkg6nlk1A37UIKU\nrCwBnb+gP5quxeLVtycumEtYOv4deR/p0yPhOlQnn0Iphg4uZmLlvA6I756yzhcZOUQdPY2fe+Lk\nXLQhEf4DXcaMEpmV4ulKkrbE3TaCvaDAHAAcnlmVlSuVPkBnku0kEgTyOgnyxGDmtxXOzwNiojk4\nQaO73FdadoDpEw9kQM5/TqwrQBaQqQpBJsdJcHD+qpuyAb5UuJLvN7He6YBeCVrDMxHWESkn5644\nIJYULAnoOqHkOWjliwBddLvZW4UEAN79ikOYWJ/um+I1icq3ALwVt82fP1wcpNlalwA1Avqf+1Qe\nkCveQa+k7pWkcJJI5iDJxmcALF59e9yPR9ECkEtZhAKIU0lRLLmwXRnXLWPlghJHCVPUdeR1l0mi\nQMnnmCoftI4mFapBRxOMBHQWsQbdpDJ405Vry+9lh8UYw4ycjJFruy6CtQFGzoV96Ltk42jd//W9\nZ5cq1SVQJ8+Xf8YgOwdEd6ghdo6ure/Fhe0CTJqg3rPV0LfZ6uxzCWgz2iChPvcAugDKuHi4BHX6\nZfm+BdFfU+kb7+RY0OmxOY0/subiaJsAAiM3iYycDYa6SoC6xD0byNtTnxBok/qBB3Eun+Pk2FwC\nccTCsRv8Qv8VS7t+mQBrPfFyIXmE8nqhdX3gUqyrTh4dAKOCGRoCdANjX5o0jnSitVrXhJPb6Fj1\nDkxZ34rjax7y8rwSycSl6/2H8KeLnwFsXHszpCsli2TEUrdLIAKvnvl/ENwBsP/vv/P7KbCYADgB\n8khKmdP7AF27/8piIp7xDF1fyYL+hCgA8NJ9MeRmWZuy4TopOwfoeLq9Nnq94MBc+kAlAi/R/jxo\nJ+sv6B5K55FaD1tkwl+pmIeObJB3+o2rX58DOWJphPWl1HlLLpaqYwJofvi1YhxdyrSVOpjaVvic\nPfuk8+1vxrsKpYCOlLTM3dJYOFv7wO+LROrKQCbF8JYeFFws9cCWlR0A4uBO69/2m379GPAGaFau\nb32aqEEKKZ9Vhfo79yjw1gvkBsCco3MqRdazcd6FLWE8CqzcUhBH69TvHR4GFTsnjC6SoZMJflJA\nlyeXiPF0zUXAypFcs79WjJxKZlIAckAwngjXSoc8YQmAzI20lPBESp8CXgJ6QyJLFZCU2DmKnZOS\nGogiO6cNCd10n2qPedZLsZ72oxE+zWwJQLldSqNGAu6MrTiDr2LPyQgzxmDBdyPwKYLBYZkP3C7K\n4sCV0K6Vhfi4EDvH7630PnvOr4YMPiAo1QrQuBj/08vElYFTVE4j81YffwKLfS9iEKhYkhJgk/cm\nwaRcxLzd7rui/37CeTLlG9CATlxPtggJftPvBpGdS5vREKDL3kvhmIuFlSORwGCUJKCOjQbZbn5u\nnzz0FaE/0jvWoM7/7cIuSd6Evli51L0y0S1N16G96Q4GjczShe2aJIhtJUuM0gPoFgevRv3so7HN\nJsaOlKErArow96aArszWGd4/ZedK7pbEzpVAWhpPl8puJT2RcnH0hm2Wy1YrpWCl0vcOpBWpdOSV\n63U2eAFxsEqtUADEoOk7cOy4AtAhWDNUaYJEmW9bND/8mvedBiKQAyKAS32hSZLBvgTqNq55I69b\nCugE4JCgjbeFayrrHsAdSz47khMbwwDEiUcDRIurBHTRKi8ssqbqf+F7IDe/eI3LEChrjwBwOotl\nF10sCbjJQTc8WwcA9/xFvFDJAiil5F6ZxOlk8ThZSnUdJ7e48dblQK4HzMmkEcqt0li0+1+UA7mU\n0cMSEFe6PinJQ+I8O+eomCmto0diYrsmK2GJoeP3bUXsnDG44WAzfP1dFBMYzQjkZG24YCRJWbEk\nRo5ZLBXXBnz6wWPhmDJ4K63veChxvI/cX+9bZuekkJLP33s+p+f12+NvlG2zm6zAbpxJjBUma8cl\nd0sCarnLpQUnQgmgrrQAvs/Or7/Ff6Y+lPzmTJxQBl2MmwM0qHvFoXKCh70SLjlTT2ICFFrCGCDn\nhXTh8yTn7Y+NQ3xWTroyhrk3BXHJOgZoEsDJxBCBbauffSwpUzCiNIGL2S/Te4nzvAeL6t57FhPO\nWQR0CahLjbO+zWiNqZSxWk7DKaDLQKJYJ+Pk6Lq7XYpgmVyxOsYol7RCV2iV0ugf9LLyqbqYxRxQ\nQC4eL8AXGR9GxM1Jw39132c0aZC6XS7mUZekW1tsjNIjJ888PJgUJQN0iWHDIIaqlLJLF+PpGLgt\nL1fA87mN4K0yUGUKgMDciXV7ZQMr5+kcKQ8//DDuvvtuTKdT3HvvvfjABz6Aq6++Gh/72Mfwkpe8\nBI8++ih+93d/F4cOeavspz71KZw6dQonT57ELbfcgttuu21bfkSfpJOUg3/QnfMvTfalkr6frnrq\n9KLXTTOex8Tt0priP8S/rr9UgfSbZre68LemgpEKyEmUU0h8IdfZKnZ8scvkB1/mdfSsTFXBpaUR\nGZhZOAPuVM5Y8Tt4GI77Gx8n1joCL46fE93HganFs+fy+88s5uG7Ce/Sv1OHKiijBOgAk3W8i0Fe\nfskER063KrZKWXkh4xk0wNduFqLdvOXXgS/8edw2BOb6gBwQlUsSU3Cv7MlcOfn+f1gK5JwEU/7C\nSa05A2Lj6HN16sdCSRZgDRhObNLHTAwAONfXs13SLl0HExRIGlNARiDneOLonENlAXTcq+Csg+sM\njF0CuPdAbjjYeCbLeTdF3xq9RJYqsnQkDLyS83UO+KVXHsKnHzw2KrNXG/rxkFCfj8f0F3ftOgDh\nOVfh3frj/bvwm/2E0CVqfhfO65x/fSZc1x/p26ZpN8JkQm3TAqaDI2d847xLJWzok7SfWJyL/RBh\nTLfW3zz1SxoPSEQfnjz0FcWc+6FvvJ1WzmnRMDH68F2TbrYfdnEuA8QE0sXsOlpSEOFPQGA3PnMG\nccn2opticryhdYA+B13XOcwPXYPJsUf0Ox4SeTwAaZenObs9eDXq5x6H3JzN1dlnB+7F1IbkPYl2\nZcQHegw01Dnnt52YA/gAACAASURBVJ+e+2NLepec+9X5hKS13Gi/vXZpS2Xp/Qh9p7RerOD9OgDN\nI/dG/a9r8/2FYUYxZSSpYb8kch9r4/G2gutadDf/ckx01rX8zkzYB106cvp76dMjDYCNy27w5a8Q\ndEn4ycbY8ARU+7Z8vHH6WsZY37QN0MHAOofO+CG/C8CM5mG+HxPaKQxeslb5DJcAOpe2SK2r6vVh\nWqF5Q+yyGwXCS7JlMNd1HT760Y/irrvuAgD8yq/8Cqy1+OM//mPccsstuOOOO3DPPffgox/9KP7o\nj/4I3/jGN/DVr34Vd911F9q2xbve9S789E//NNbXd8YF7orVGk+dXgBOTFbOwImnXup/aVYievFX\n7Zv48yXH0t+UcjUGugP3ATs1uEsQF5R6AE66TnQd5tffgvrBL7FFw59HWEYKRcP5vvKfnEkfoPM/\nSVrpjB9xrPhdxnomkQCKRZwwjGWFgToVzQQGwPHzkfEYMyEHHYyVuzZ8sIYmd/olF5cYk2eyzCyr\nwirFg3gaqAz4wfXnfs2zcinYI7FVfFhqfQLklKtXDt4k2yATnkjXyvnLfgbNo1/vB3KJksn72AjW\n5H7t2qWozhxTYM4rq8JMU/zMD7vc0QuSAU3eEICbqXyGS6HkpIDOK/u+AbrQvkuADtbhitW9KZWx\nTLL0/i4ycDJOjvZNPxPIo02ffvBYuV1ug3SdG22waTvHQfNABGvpZxLnwhBHhiICfc73XWdqr+Rb\nP745GBhnoqHBOVAyIQffVvyoZNWo5BDGvapSI5aTNwIAJrH+U181FhvX3qz7HUlPm07Hcs+sOGZY\nXtJTj2mvpaum3tgpmDggny+ki+VQ88iMs0NALgFrDNLUenEMnScFcE7HygPA5OmHCr9CHDN2PUj5\nBepjj8QfSLvbHESpY8ndncEnYKwVbTEaZxWIC8q07Ocm9Bkx6iWKuG9raUkQklSnovd4sbhXpnLZ\nalU0Ro8WycqB+mg05PI2YsjE/hmQk26PqSGoR4ww9EuxX/u3RU2qV7tazD0QRHznKaBrfvSgmm8z\nQNctgl5Q6+3twrfRKo5PlhCgAHTRekAqqmh9zqAzDhbwRnUALaIhqws/ruIviOgw/PIWRun4gO9q\nv3Dd3gA5QJpzNinf/OY34ZzDX/7lX+JP//RPcc899+DQoUP44he/iNe97nUAgNe//vX44he/CAC4\n55578FM/9VMAgKqq8LKXvQxf+9rXtuEn9MsVqzGVs5StWB2fPJUDuVHCL9tlnTX7C8SEF2E9F4Um\nv2TnMPne3xaBXG+RSOkX3eqg2cVP3IaS/3PR5ZLujz8n6wENShKrJKvcRluyDK/LLVyKiIJTi9yu\nkqA4P0E0e1DodqxcsVozkDMGMQ5DsHPq+Sn2lj6GQf9L/3r5BUsgRwq5bZHrYVqGAOLdKGWRAJsH\ndUuBXIk9s3EfGVfkjOXEEnQNGYMU2TzxGRCuajb/nUDgvg1fj687JK7zQC58VuvpEZrYltnNUn62\nkYm9YvXiVJYB4CcvW1FALnWv7FBm5VKRq0fyDTsuqVsrsY30OZU026UEDyYYqEoFqtmwkBgq+twt\nKfNiNJLY6E7JfTJZ4BUwYwyaR7+e3zy1aWN7lXdlAQ995dKVi1NZBsDGHnKlD3CpNysqkK+T/VVJ\nCuScKwK5YlxccHVU7ow8Z3fiuEJmS9cBrsX8suvF+by7WZatUt3r8MJzCu0PREMh9Fyuj3P6OiV3\nS/EM08dIY6CUUjKUeA69wiTrUlbueSmbUxpx/srXahBX3E3ogIAYpASQK+VQKMTL0b7lTJdJohQZ\ns5/G0qlrlPXIMeWvSi7BfRnTvVE1grFSuSDaHgmamBDlqn2TqH+iP36O9TVEvc0CvclRdlu2rFE8\n8cQTeOCBB/Dxj38ca2tr+NCHPoS6rnHs2DGsrfkMWOvr6zhx4gS6rsMzzzyD66+/no9fX1/HM888\nc+G/YEB+dNY3MDKKG2/Sh4OTOJ0lxnNd2EtJ4IiytOh1/q9X2BPrSxhwXWopcR26rkV7460jb8ag\nfd2dw/sQ0EvuX1nT6pgEQlp1Day/xxI7hzAYVNGVw4aJGABbRKT0uVrmRH5cZ4NbZxfuuoLJznux\nydNnW8zqkA5cKgykUIT2oVwswsDskgnaveXXY7zcCAucZKuKcXK8WwR2Q+6VcYT0285fddPo5+CL\ngPdLdfa4ZuKEgspScJtcCs62IMzMAaqtE0MHaJfLilic0JMkQ/fsuRYHZxdP8hMpKXiT7pV9rFyf\nkIuld2vZHek6h6oyzKil8vJLxsUpHpguaUPSDc1aoBUulcbbgz3o84yeQ9gWJLds+75tqsorSKYC\nula7UNJcIn9XsILboURDQz9D3Ic1wLFzHQ6vXJxtEwDPHxKg9TG/YxQsaXCMQC4YaZJxWRnXpCul\nBEWJO6Y6f/ZXJzubX/6Kpfc7dr/Jj78ffl9giqkH+qbJv92Pr9qlkpmQUjsS7Fz61MktjdZb4/vh\n6YVL9oMaS/qSSUTPp/7f+fwRM+grJNvB9MlvaC8oAEVrEwAVPy/HbRkvN6QXpEAsuFcCYLbOvflX\nR7svz1/xc8t36haArQuutptg6Kpa6azW2Bh2A6PmXcu0m2DrAkN3hNwsAzjrnIE1vrfIR05kgx8v\n/WiesnN7KVvWeNbX13HdddcxcHvDG96Ar371qzh8+DBOnz4NADh16hT2798Pa61aT9sOHz58gbff\nL0Tvy46TEgrbLaMepmTqSn9pghD7x1pyPgnGaCA3Uhavvj1aEUlkTB6Q16TJLJMFa4o/gbYoIlpQ\ngGgBITl+fljlY68DQXRKlk5mtTw1v1j4gFxk4gzlVuuSeLk0cxWQDdqKmaPJty8uLMmG5z8kcXIp\neBsCcuqz3RSQGyPtygHFaCgGRDAUwyyb6Vk2J6ab55NiopyxJVB+NqbI0F2scv/Rs3CICU5SVm4z\nQolPxlotl8XLjRVZg45cRqlEwXYJXyKJ8WTlWDJ0MrsltQ4+TrfrWLYgMOQCzFE9OBZi1KscfCkT\n4pLnKr2RL+KmiXnnx/g2tEtaOpTb5jL3XjakAjloGwRymgHLmDhOYNKxES6WKGgF20YGuh2aq0qM\nW8boJHN26fgBdg7QczqvC9/XJtGteDOgLHMmgR83z40pMLkH8uMzXlcaUwpjjGTJT8iwK5UfEgnc\nIIBcysz1JUFJdb9ShsvtlCGWbSxDl2w3rlN6FdfNVAxdf4ZLZtskTkC59lxMjmJUcpR7Hjmx/c9q\npGyZmbvpppvw3HPPcVzAk08+ieuuuw7T6RT3338/7rjjDtx333249dZbAQC33norPvGJTwAA5vM5\nHnroIdx8882jrnXnnTmz9L73vQ/vf//7e4959nwXkLNDn0mBrejYIctPwY1STbFFd8v42ftF68Fz\n8cq3bP99GuNpcHGH7D8tgl7Z79nYGIgqY+Qcm1P0+q4LlmpvzcusMcZo144eKe3CgM5Elo55xs7g\n1LxTGbVK8slPfpJjPzcrW2mbT55aYKU2PMgQkIvvn6y1GrmqQTx9GLe9B/jcp4ZvVrJuy+LkAtOm\nmDBWLsslCFwfgLxQkUwDgTdSkuNOW9BCC/unxhRaXTU+2QUQ+6S0ZotEApTsB0BmKTTGhNgtb7hY\nxv7sdtv8+lNnMgaOWDn+PlJbkeMrEIFaidErgbg0S3C6vk+MifFvYxKqXIi4MM4xYGu7cMMWFKfK\nMXIWlAEKgAEFDvvdRDsI46YBfBzdsrGx8qldYh1HenAlN+NSm/dUjUHc/eiZxVJX4N1umy60yyHY\nI7cN9SzdhqShMoy9KZATBrccIMn9e2LpgCy7s5zb5y9+zcDdbk3ml12PyY++p9ZRPB0C+wEbGLYC\nSPNJzgb6TvBISPs5AMXEn01ZOXDT7yU1lL3CFFvtUtlq+9xK2wTIqBzvlGJsy7L8FzWP3BtN/SkQ\nD39LCdG2JRGKEPdzv7b82E3KxlU3oXniAa8XGuvboI3jTZGhS7d3C8DZQYbOOWLctGcMsXUdHQOo\nBCpGsHNp/ByRByZVZDchFzJ29smWwdyBAwfwwQ9+EB/5yEdw8OBBPPvss/jABz6As2fP4mMf+xge\nfvhhPPbYY/i93/s9AB78velNb8LHP/5xnDhxAr//+78/OvnJ3Xffjauuumr0vaWTH4GF+MJjIpQ+\nxaB3veiEacFwdc38pvLPCUsns1iqdiJd7XZI2pvuQPXAX2culvKzA5S7pcqEFZKhGNPlmS0FwANi\nJ8jfS7lvuGRtNnEY1pvQwcE6w4kLjFs+aL7//e/PBuonnniiOKinstm2SfdLbce3MwJsnQJvmeut\n/JtKyGRpgnLoT15WZxSQC8cwUOOdjN5GjAApjIUSBBtXvnZTz2GsdNN12MU5ANCsW4mBG6u494C2\nqGgnbDIBOXWO2KZLbpcOEdAQoLPOu+LxxLJEdrttknQYD9pSkUpaSdEbA650IirTe1wp+YlkruiY\nn7xsZek1tywM3mR7aON6gD1FtLtl0KYR+j23Z69iyMRTCMxbmmCCRCc9MbpvSEPISLfDMb1ot9vm\n2NwS9BPp6fbuBwCuC4CcnnUPkGPjWsrGRWBm1HgdwVwWmwao8WfjxT857odtQaTRNXOPdAmgK53A\nOQgtFpRrAnTO9Hr+AtxOZ1V8byUQVwJ0KZCLn2Pc0rwDluVBKbXPo0eP4h3veMfgcVtpm0+cnKOu\noqOkdvEWVqlNUuDzl/0MJv/499l8xNK7Pgd5AMo5FRJhlr+QpXI7ZePK16J58hug9pVlqhwD6EIo\nj2yX0sBgQwOTgI4YuQNTi2PnWjiREKWD10n98RrQkVjyyUTYIICecw73PHICb7tm/+BvL7XNI0eO\n4J3vfOfmHqKQC4rCv/3223H77berdU3T4MMf/nBx//e+970XcrnRcnKeN0F69CXlYjNy6YrFM+f6\nrRyDVuMhaqkwyDOAC5PEYpvdK4u3mDJ0yWfjRHbLPnauwFwYBOsfsXbhvPJx9Vk6HOJjKr07Zlfp\nu/HmmMp6d5wTG12xKPleyCPH55hNCCiFlawwQL1/fhz0PJdZ127/raXsXAbkKl2Hb6l7pQB1Esh1\nO+ybFUGcBGx94K20rqQxhP1KwE60XWcn3sWyeGP9LF0aR1fy5T+50WHfRdI2S6xciRXqs6hXxqAN\nnhqAU4AOGDfuZgWGrQZytFkCu748R2ww2eHHS2DAGcueILocASKwI+zmoX08B4i5SYxfrvNALYDB\n1F31/FU3BYUIReW6KD37GbUYPH5yjpdstiDyDsnpkS7zlpnOuI6ziqIMVE1wfyzFLvt9UzZOALkS\nGzcI4uI8z/exg2PnxhU3ojn63RzQpayb64rG1F6Q1yPp2LAkaoKPeaGKf+6FVmeMQLa0b56tYfLQ\nV5ZfJEliEj6EbZsDcnI/U1XAW39j1DFbEmOAtg2Gqq7YBjNAl4FXy0YJBnSCMfYzrShZEIicDjGk\nxxhw/JxxYA8FdqQI95Rmt3Rt7iVwIWzdhcrFoUVso5xdxFg5aQQBtmfQePrsuEnFi+v/7KLCXjpm\nbDrZ7ZT2pjugC0PGbERM4VNWIkBPXqlvfdgu/ZtJ6P2Q4rZSx0FsPLHisoULxjrP0LWdf5rtdjmx\nX6D847MbHCNIgwXHVQCsGIQv/v8hA0AqAcjJhAksITsegBzIBZfKzcXJhYx7IenCfIdYORJXNcjj\n5voWU1gK+/GzMfk6uq6x/UBO7ZgoblL5Q3QVkjF0VSijcbHEdnJh7CX7pUyZBGAMukxe4/E/fsVB\nrmHWt5BYa4pAjvoN7cP7DwwcO8rKkcj4OOXqGNuWk+vZDyPZnrZFcV5XWDIgp86Vnmfg9pO/9Pnh\n4wVGeg+kdeVFcGYAojvwkGcqjcEStLmqQeoVEeeuWJQ7BXIxLm6h9jEyU6WKlXPAYgGELIDbHWNc\nFHnf4neX5uatnBsou0KmbUnKmLCWmJAu798XapTfTqE+Mug8kyqjm5BBV1eSQr4D1tmc00AuzWZZ\nWgC4nQRyQTaufj1AOiVlcO2S4uCinebbRP+Uhcddf1FxA2DfxAR3/Ji9shg/x+v8cVTaxm/XhcQr\nE7d9/uHjO/7sUnnBgTkg7zOlrnAhGSsv3XKmrx5wl44CzmWdc1SGoG2Q9qfe5W8hBXQAZJpZqahm\nroBqXafXsasHwl8f0JyWKihJTBMeJmxABb5LUJcCumWJVXZD2MAAU5jMBIhjhWSTgF4mSgiAjBd6\nvmnChADkllr10zi5MMI5YMfcK1NxtlZgjNK5b3ZhKQG45PumR4keazwBOQs9uXDc5B7L1586syWD\nYh+gk4CLlru//+zgueS+gH9W8vxyzKDPVXrdpGO99vLZFn7V5oWAmBMgLothC+vZ3TGzNorkPZlx\nIm+rG1e+dhRgG3yvhfGFnq9vo3vfOo+f73LvcxrjnZgXwv59dcv6xXk3buFOaeiMruO/JSCnDZmt\nTtjA5QoCMJRp3LsWbrE7QHnjRT+RAzogGg/Vb8oNtOp3pkkpUB4jJzYBcwmzvkxKYI8NoIUxZ68k\nNYDJtsh6iTqCTNkFSd0y6ZtzWLzyraPvJZMS0FsmOxjSU7oW181LjSYlQJdtK5AJ0pCKfM49s3Cq\nBAEDuiL4M4X5RydDIeGkK9bsOqB7QYE5ji1H7DKkQG+XdHB4+ixlLdpu05Bm61wAdfMbfnabrzMg\nxpQ7cgLsStkttbVTKrUubqd9gmy2/qccPOXT78RSAnRj0qjvpHz9qTMAwAMEECYlnlB1imoJjLNB\nutSgRQFhvL3HnTkFciJObmkZgkKcHKoRIHCbRQE4ocyNWfgcYvE/PmXqbLhWpb7rG9H1n1R9qbC9\nj6GrTKw/RwzdWDeynZChBBtRcfJ/CTxZKwFVVK6saNtVWKw417tfcUiBtj4AV4UJk54ZxHp/bRPv\nJawnoWcr7383xBlREy4FcCljJrNbJoDMpeAsBWxhn+bIt+gC5eNpBhzxDPw8aZC6IxrjPQr2Ulrn\n1NKJJQV1o0f5DIh1HAZQnNsInHWCYUu2G9dmDB26ztfimm8wgHNdC7eYY/6yn9nJx6YkA3QDQGw7\nZDEiVn1MvoK+szDs2YyxcwfkwWMbPLfEv7EVxnlHGG+M712UxEtrfUK4TxvUD35x+c3IZyE8qfwH\nl7ljDi24/beWX2+bZOPam/29yZrGQwxdW9gm2HPfR+P21CuGchawgVV8pnIDOhumAHTIa88ByNi5\nvZAXFJiTwtZF7PykvimYoANS4hlKHD11zl1USIDAzvW5WwJxW7hHDeI8AJXr+O47PYkY+EDm9Nct\ne1eRiSsvBOh8+uoI6I6NjaDfIVFGeLkhaxObB56qoHdIhsIi0psrIEcJaca4V5KSJ+LkYAw2rty5\n4P0+kYrbZpi4PmDHkgA6rilXkCElQxX4HQB1NJGQtXCv5P6jZwe3M8uWADrpSklAy+/XD+z++gfP\n8efSYpJzkDWez231PdDzo21yQnv9i1a39Dy2LKqDmwjWhqzxwAhAZ+LnPrdi3hdi3wTIjTS8pKTh\n3rVMn+697XTfle6VQ26VpXXxTTi1DiADZQ+QEyxWCcjlDF1wbVvMIYsuUxr4nUxmtlQGWI/SeKVA\nwgipkwYzNLRl5QyK+8iC49GrxesYDiglp9oFIQMt3Yb8S8ZkFsnah+/Z4jeUH5ixWLzqbVu/WfEO\n97Tt9UipuPjmGTpxXNKWFaBDmFcC8JKfvfcMYYdofJeZlQnQ0XdZqsCvi66Xu8nOvWDAnOkWio0r\n7pP8HZIx/tiXFNKKX7gftx4V5tffcqEn3LwYwxZICegAjGPnAD0BpBOC+Cx97YfeSzoxy0EzXVyY\n8Dv4eLm221tA96VHTyjmgAaGPD32JhoPKYBAZOVstOTh9t9SIA4oADljciBnTA7khHslbfMxO3sz\nfEigNoaNK4G70nYA/Ey5/heLeFkj39MQqJOArrJ+8N+L+klSIUnF8oRlioBOsnQpqCNGblmMXO8C\nzdAxg4ccyElQSRPzTpYjGBJnJ3m/YIWtzM7F/XJAp+LoBAxRv04c50xyThLJ3Gc3rZV1eW4C1N95\n+tyyn77t4oiJQ2TlSkycBHTpOvplrBsYdQGd9ASuH6gRI9d1ADFwXesZARVT57w75WIRQdxi7o8n\nYLfYwGKXwiakMDu3ZL/S9tTVkkW0HXrGfdCvb57XzEn/fWSjcTB82j1k52TCKBn+QUJeQhGkGfSP\n8vEB+EPiHGSMQf2de5bfkPToaaPxnddJIEfhPMlifuGfLr/ONsv8ZT9TBnTLGDplRFloQNdqllwx\na4hzRXSxjPFxFiZ4w/e7W8rac6Dz2b2be14QYM6ePwUAS8HcdstzS+Owxt/JUBffC2nf8O5s3VJ2\nLnxm9q0A4ki5dT2TSmmdI0usc2qiiMq4/qcToQSlQAC6vRKvTKS/cDkTp44RDJwJwEvtRyOLYOdM\nVWkgR8fLGnPp+cO+pcLgxCTsRG2kMVKZBIy5PBkOyZCbJW2X6wEAxub9cWiA7pkUSelRLpgFQOf/\nmotmMK5UE4iALjJvJgN1FhHUkQumZORSkPfz1x3wxwC9DB1NjhLExQlYAz26F7qvm67YhaQnJeGZ\nPjJnviX1jHaKwaPVGnhFls7vawqJfJzcj46la5cS+xRuOwU7vA7+XT6whMHdbjlyug0FwsEgjsCd\nYkCgXdtSkTGWAMDsm3JrjzXj2rXDOZDrZeQo+YJg47oWrp3DtQsGgZKd242s1L0ygvHYzHnocx9Q\nk9+HPG7STfS15LEQ26njhmHPnRx339skf/fYyaI7JSXX94YF0b7EvE2gLltK83wii9f8/PCNDQBb\nBeS6bnPG412Q+XVv2jxDt5ltyOdbZuAYxMXPcX3ihgkBCo3hOUx5iQR2zhjg3z/03K48v4tFf7hw\ncV1vX+B+BNGXLuRSog/sm8STyW40upv0dSjX7apPfVHGsnNAMri7zHqnioIT2Fs+dhWFJnbAAzm+\n3QTcSZZOAjqKedwN+fSDx/jzkNXxgsVGCx6Dt9veE0Gc2IdZOF7f414JQDN4FU9EG3sE5EhqkwM3\nKSVw1+diWQZ6NGiMGCKHJsUE1Pn9ywydNQYbu8jOpaycbJME0ABk8XEpqKNxVQI7xaYlIM9ag3se\nOZGtS5cqTIgpiKPJk4+DBnJ7ZRklcVWjVyTMnM5cGe81JkxBEdA5Y7FxxY359VA4Tl6b9xsnEsTR\n991ONvHYyblg47zLfJqteOu6KFuBlOs/gbzq1I8j4JNAjhKipEDOdSq5CbtTtgtkLpYj08PvlIwa\nt6US3CNF04TZhN6zCTFyTElBOXu07N646UK8ZhuMC/7qLhiO9XxCJgM2qhCQM4UFoS+Lp5sacutv\n/c2YGxzeXgLsAUSZO357+fl3SoyJuuWIpCiy/45xxyTvPQZrRichKwI3k7pm5hiCkqEw2yfc/cmg\nuRuA7nkP5vzAK6h+E+MutnP+6VMaSzXtBmWEojGUkGA3pX3DuzWgA8rsXKKkGvE5c6/sOriq6XeF\nTTakBcPj+gDapMtNsOLG2AoKmAcPvLuZDOV//cZRANrnn2R0DKdUzjgLXtJtbcK60aFf/Mu4vgTk\nxpQhMIbdNWMpg70fNowxKunN0AJocFfOgCfO7S8w7kbSibHAwPF+XVdk6SSgM7sE6Mr149LMXBBg\nSgOyjG0TS2UNanGsXGpreHnbNfv5c2lftnwag1pei+/DcOppCfL2jJXbpLDiJtwtFZNWiJub/Oh7\nDOyUG2bpuFSWbE+NTV6ZMfzXWuArT5zayk/dtCyCe7wfr4PLvOi/EtBJdi5VplPhn+hEwinnMrDW\n7n8RK5JpiQKTKo0E4hYb0aWSQByxc8HFcvHqt+/ocxsjG1e8qqwcl2QJqFsmW9HBlh0T4Y5T76E6\n9fQWrrZ5+exDx0FDdNflpY+IlSvNLTkzJyVBCtJ/j4/d5NxLrp99cXJCnzPv+p3NnXsHZH79LQrQ\nYQDQqaRE/N2XN+C+2S2iwUbMt6pkgdGArhQ/p5m8PBlKNDboz301UHdC9l4ru1CRQE6sllbFdNvS\nUwoAQa56qUQXL2C9LyWjSe9o/F1sXHvz6H13UtrX/2L8krBzSlIQl2xT76nd4O/e4jHuuThATN5O\nrVPEX/S+4H0jS+eVhKNnFqOueaEiA2c3K6lVjo0UDLDy2nEM3MLiBIjrBXJy8gixPGkZAoqTg7HY\nePGrN/9jdkBmlelNgiPbhAR1QAQyfYCOm1IPS9L7MscoRALU8XphMSTgtNMylPREAjMSCbJKrFvR\nnXLJ8vePn+rdVqfn6mHsrCFQ5//uVimCZdLVM6W0RbaXLPM5M1dMZiLa3PyyG3quZoptlV0309i8\nAYnzZjSI0mKxO23z+89usDHOUbwcGeKBXkC3TJjVcYEvke6W0tr//3P35uG2XVWd6G/Otfe5N8lt\n0pI+pDNCorQVCTGUJLFCIDzlE1GrLJ8W7/sQpEo0vodQ33tVTz8/Sy3BSCmo9VFPnsV7dlj0RrrA\nQxoTAiQCBkhHQkhCcpPc/p691pzz/THnGHOMuebazTlnn3OTcb91z17tXnut2Yzf+I0meIz2PiAG\nkkKBFACix8b5AXbOOfgtZuVYBt4hg9aa0LMZkEXNT/O0oqkulundRJ1DvsvlCsVxAoD3Mrsqqu1Q\nugNHt2fq/3EJyZgTjTh6LDBGjhMqMItLSM2+4eKZrKVMwWZLmXRPlMKqAjrFoPfZuxD6CVF4TDOS\ndRMxc+Iz7a+xdgToyNgFupagkImpu/Gu5bJzT2owN9pzb/wgkbvYv95pp+yYZYYi+nig9co/eqGB\nrTJgTTajkOi8YkydnaO/ZZpmkkSBl6mD/fgYBeT4a1B/X/QsQ+hzdPQ+yI0hIFp0Ox94nWIuOLV1\n+twtmf34nb+/b/GTuC1kJU8N6EBVKesBOnVJi3DFvyqOs+ByAzx6pVp0xqAfJ5eB3FYlPRkSmaa8\nXIAC2EMz3fG9+wAAIABJREFUdfH8tI7Y/nqAbl4ZMmDIflGAOlVs2HccpN2YmOV1WRJCmJpRUtWJ\nqwKtOtumAFdjMW6sYN7qyxVn71TrfHxj1fUUe2drbB0R15toCp0hDOhqixRKhpKEQViRDGX86F2Y\nK5tlGTtXkyGFHtoQKheyNP9/9+2b/yGsQTof0LrAY3dpkCsBHUmtz/Z+Pfvn54FBhQpQEpRUqqAf\nf5Nrx9WAnEp4kuZMSobin33thj+rtQolQ6mK99V9bKytyEb1uvI6xgy4WNIM7wUYR8DoiW9v0J3U\n5T137IH3gYEc3w0ZjkOK6QR5CMlQAAnixDr9UN4m+2/fGmyMQXPbjev7IQWQOxpYOZL2ohf1AV3q\nQ1VAJ4qG18Ae7TeDJQtEQhRU4ucq7pZGHAfQ2JiNmICuQUdAcJkyWvL1lyfJKiMTaQQMz5czLsUT\nwVpiA3yISkaZ3DJaXcYIdrzYBY8ihQRI7pYb5JpoJweBZrRmD/eQJvaSjZOuDj4EeBdyp7KZwTEm\nAD721O8c6HDGjqOhCwgVSrz7zBAJZS1Z5uKPCXHE8R7GNnHgqwG6z/0VwuU/uTFRBUdZ2zxubNfh\nlkwQLopHBnQ8DhibFAWDuSFeTeGpbfOAsfH6PN0bC2vWACYXkC89fHhmXJkxBv2WlJSV2sRkAFsx\nuKj2XPlRt3znIC4787g57nq2HE1ADgBgTDRebYCM9twj2mLtu/TkM9h+FjDG9IxtbJle3nO+7eHD\nXIyXxnAav42J/dUiDeFxIzwCbIgalk+GiqkcErlYkmslkA2MgqmzIaA9+bwNm/uONpmc+swNu9ZG\nt4ihNsYzZQ+M58yk40fuQnvKBRt8R8D/9eWHcezYAg1UvUMZNwcYAezAD4aZN2lA5fXkRm0sYDwd\nXHiI+Pw3XWsj9bKjTTastrIxaA49jpDqHhoPBJP6uphrDUycv4yBCbGguPyMYOAQolEhBAQDmGBA\nBScam8YrG+09jQFCUhnoszGRnbv2guM35rcVcjRosmsTYxh5B0LllLOBDzEM+swUXay2OSBgCEt7\nBDSVfUcc0JgQU40jdUfvYmpVTmPcVbcZYaGfnPGsBR/GcsXe8l6OqzLjlczajFbyX461GiHYUbQm\n2yYCNzsC0uK274J1q4qd4yW9r1KUMZW2ib8xOD5ukdYylyZ2qRQgAA4BwQNn7dq85l96pXoe6SV4\nS7mSTNqu3CvSQJ/EGBMt+AER3BGgE+4mxMT5y34c9ua/iSdSvblpcXLi/Ur3SpgG3jbonnbREp7Q\n2mTfpK7cSqOMUdvJUpbW0wANxAL2LuTjFdTjtjkD1PUYulxdiBkXeQzNzTZd1XcwxqJZIgP63FOP\nwe3fzanmy4Sm0yWObbJP5l0SuCXmU59avZeay6cMIJeXlzoeAVIaO6wBLjpx29y/ZOkSAmx7WFiJ\nSQHVrn0qMY4XnwFmjbRiN0WKzJd8KwvcNs+X6W9O3a0T4CxDnn3qMfjiQ4fg01eMGwAeauwmQBfB\nW86+Kj/XflMWMXsUbpTZwh/ds8aP3Cnm5sQADDByvYRhQGYXAPhLX7GBT2r9svLwP0GVyqDPNDfw\n+kjsT+2qGanz1gLnypF0nitEPS6BN2Lnine4DCAHAP/mOafi//3KI6reoQu5y/rEGtP4GOPmYmy3\nCUmhl/N6Mk4ERDe9EOJ+WifDrfFxruc5P0nzpQ+J5HQOgRhVYrVUO8ztUa5zIruX/+JSntlaZfRP\nN/X1EdvAjFd0Xc6ijQ61TxMsKBe6IeOp72DsKI8fMLBpfPEhJHbOJCyQ5ySf3pJF1hFCiLoFGztD\nAMV0+/TZIuCaJQE5iPt7Ukp70nl6w5BrwAJS870n145yWzy+Pk2q2iJzTH6yoOTKt788381uhoSg\nKPn6AOHy3ddi5sQ+OzmoFJZ59ILyCbNOhDqQk5nhWxctZ633aJ1HJ7KiLdOS/8Yrzon3MkWL4n29\nNiLWaUBPxzDwokGrSH5iTHSTlNkq1wTkijIENFCao8zNUrpRyq44VEeuLDJMLluAdm3UQesVt5c5\nbsyEoMYfQ9ukW5dQIMs0yssSLsytvftmul6W7pDRxTIuRagmmsagaQzGjVFJT0qXy9u/e0S5V45s\nPIfOp+vF7xHfb4TbZ2M5buFoEutWxZoR1vkCWpRJjgBuc6S8cTmCQTG9c/h6SumeX8idSBpHrTV4\n4Vk7FrrOotL6OF67EN0tW+/hyHU+gF0uqe+WU/AQWaGeegJsRp4gYuZqNVQZOMwD5GRxcApH+Nxf\nbfCTWrusfOf2+fWlOcajeY0F5fVNZbs0uGV3b232lG51GdAtn6XicI0QlLsleQaFoOcO6Qoc4+ao\nPquY38nbRrmVxYXHNKUPNHDPeklazedUx785+7z/4NsWeg7LFHvbjX03yyRlyYJyqZUlCOW+ylxr\nMOxGmffpYuLxPJ0MhWLnCMhFI5jZlHjjo0szW1SMyR26YHqmSan0lVJ2xnxeGN5XO7/68moAr3/c\n+N5bKuduvtjP/zUA5AmLpJYIpcJKqI6TjvErx6rDhtp4LR4ioOLKheT2kMZ3OeCSQkDAjkDd+bsX\ndH1dh3ABWzmok8i2YMq2YbRyJx+UHLwHkp/AWvjLflwdI4FcT6plCGh7XsYUq7rFsrdS57EEdvXM\nlRrQxc9xpTG6Ly+kHogL9pp0AdIY1FUAXVgymAOgEoVItiVOXLOTl0Sm2/IythYj009cUgI1Amvj\nJmadHFcAnzqXrmltBm82A7jG5ro/BsBdT0yW/uzmElfcR9Wop9mzIcWLwFmgY9RxRo0NU1rgVClB\nW3m2RS5BsWx5wRnHpbE68LguAR3F0Kk+PrcLtFT66XMCcGJ/e9K5qY8WAI8VzOlALpcjyMDuqEw4\nUTMezTP+FK4m62kWs85V7DwgwHfBynmP7qRz13Ens+Vff//TonulzwZkcrfM7pU5bo4ZOrpndqkk\nlk31vLyk8SIAea4W/b6Zp0QBUO+wR7lrZrU9FCULZtaZE/Fzer8wBAB8TAZyGXjR25Dldyi7JddB\nLbB2WR4nJ60Drj5v93IeWJInN5gD0J1wtlovLT0mIeq1yGBafLH5hO2NBoe9o8mrVlhmayIHrMpk\nuiXymT+vgLh6IpQgM3VRpxq4rJ0cGtjTFx63UYzhyKwcTfguBHTe8+AaLbz0WVh6XcBmWPH/52ed\nWvk9gX9PlGIgTwM8pRwnpk0ycbFEgM0MGpATmgjxP/BjsF94HyhrpQJy1tbLECTLny5DYApXnKOi\ndU5NfkKTKy1cvgJICqGwpKbrhRDQeuFOobq/VrwV5yaVQ6BfU1EqR6VFsKKQoKxTtgSRBb0lgCOA\ntJZl1FiMUuKToUWCtm88tloBesXxaeHvsKK2HQoXQBv/3ru3XfrzmyVmylreLLkGcUzBzgER0BkA\nLSmrZfITQM8vZO1f9L6F8pG4AVZcAOD7T9mcsg9kdCOWzvvYZ53X5WjkfEvzwnQR8XICyMk+aICY\nbKZg5DTrNh3IxSx8XQ/YmU+/e0lPbH5Zue+LfcNTCeDmLR6+iRJjl+I7o9hGuneDgO7EczblPl75\njJPgA1i3WFO9OSv6L82zwpirsl4CPD8b26B75pXgjNbT5uIF+79//w0LHb8MaW79wHB/WgDQlSUL\nQuU44zrV562h+USUK5DsmrC1x7IFGV/I+YhroBpdUHzZ8qQHcwB6CtJcp8wY9odSzPL+dP5jRzKI\nKTNa9ibX8oWa6QBvfNfnpt7jssVISyJNSKXIbWTBnOPavcK6044VAEizqhrIUYpgF2JGNHKDiK6W\nefDdzDpUP3LRCTzYlxJCUAN4jZnjs4iJk+2JtsvMlOwq2UQgZyTgy4xcr7zBDPdK/gwAxsbU3Vso\njx1x3MdqC5DBHpDbjWTpaoAOALqaUljpuzOlZvEuWGrNCPRZ62XKxSdvz6n9ieUymumSC01205ah\nc6WV0xqDi07cVmX7Zn2vBG4E3njihYFFmfVu88X4ecqeGP1Z9HkAg4BuiBUPamzQ03q/LS/obpn+\nbuZz/efn7IpGOOd5/IwZLvXMHRITMhfZoA7SLpYS4LUnncsAIYO8kOfAEGYDOYq7E26WzNBtoZDH\nTxXATdOfNshbYJYRtYxp5vPyjRRWXQHEN0mMMTyfx5i5wPXmZIkCZuWgDYoarNG8aop5l/pzCq0A\nnQeMvv4peTN6/hcxs4PPurY9tcstBXRz9qseoAP6QC1tk4DOHXsilLsl0DuH5huDbNBi9o32g9qo\nLDZOi2EQSGAPAK44e+fSH99TAsy5HafwZyMe/JCwHV0a0KWxTh2bXSujxSUfcNL2+PgIRORrFRdR\nnSc2iTDobikm5C1kQLjgdCkygLZg7NTdDvg0M+DrjmARUQwdoHzUCchJENf50tUyWXo3oSCzFDmg\nEmiQVrtkZyROBwzgirIB5V8VO0e14AQD5y99RfxMFnoJ5KbGyZG1L080ejFsVbT7H97EJ5nl0cMu\nW+YrC9AHdUAf0Ml9gO7fkp1bqMWIySVvG3BlUq4hXjN6myQRGBUgSgxNBJo0cBpe5PHTlnv2TuY+\nlq9tcupnAm55Wzo2NdEH9m8ROzfvO5Rj+9Bn3qYBnTfRRUsu4uD+uUOunMZW50k5h8q2cP7xy2eM\npbzo7J0M6Fo5nid2rjTIkoG1jGNXILQ3yUtAEFXs8SN3CoAQeu6V8yqcpZtlcOn4j71zKc9rLikN\nspsIghYVcneTyjSzqV7rE93uMzf13n7sGSehdT7HzIVhV0tZoiDP7XGgUsk8lJtlwbwLZo7XJfOW\nOukgY3eUxbrXxH7+r+djvAtAN1iygPpwCl9oDnxX76sUFC/dLXvFxMV4qEFfjZ2Lc9WyY4z5+W3K\nt2yC+G07M9oesO6UUgN1cn0oeQVtf/SwHghL5igKjURGf57TajL+xqfrxy1ZYicp3ElIygmhjJub\nc4IYUnuGUs3LOAkq3knWL7KQyYFVuloSK7dZHUvKlU/fpSzKrHTQAXLgFhY53i7cKdlV0gg3SSAD\ntiTNFz+ot80J5LJ7Zfz+ICYanngABGOxVclQpOGlZoSpgTrpeknHSLBXNrkqOweA38uA9Hq1AnVB\nTRzlMe6Y5frU1+SiE7cpl/Q+05b/SfC0kYud89olaCTgFifPOJmRW8tWJUMxYe1xUZwIhf5aDbz4\n49QbIOWvaKNzZhw04q909z9rC0q4GGOYjfOe/ma2Q7pa1uKR+8nJJKMjQBztCx7tiU+P3y1Yuaww\nBqE4humKJh0rQVyRzGGzZXTnZ+OHafewAeBuvbNCretmQJ7fm6H1xcxtGyY+DJcokEbbkOYSducH\nslFUulMW838AzcHxl7bnXwYAWRcYAm4VWWQ89O99y9zHbpjwxDynC7P4HEG+Noz2AB2xcztO0fNv\n0AXFM3BL418J4oCp7BxtA9bk5b4uecqAOdmgaSLaSBlyu/RBr8vjiVLvK+ryTvmO6xbarVCYhyyH\nZVZLQLleqri5AVG/eMrEEUL9b/ycJvPkXhkEkKO4CheQEp/k5UWbQHUPiav8nqDaSAGeTHbF4MLh\nKjOd0YBOgDr3vJfndidAWj9GTrhmpGtp98oiTi7dg9zeHHp8U5/jI4ccPEJvkc9U9s1a8pMaoKPz\nJTsn05zHLVOMMLOEYm/KbWnZjKQnQ3LB8WPBgEXgVjJeJXgiALXocs6ucX97j4GbvRBoY6bO5Jg/\nus7Dh+Zxd9xAqbGycUOxXpsDBmQA0PVthoKBG5o7ZrTd2t48bW0NOL76vN3sZpn/DrNzJOV8rcBA\n+TdZ7wOA8Z57hLIXOKa1x8qx62Vdweylh08KKi83/tGGP6tZMvgG1zL2TNFU1zqSTastB4AHdwZx\n6T25Xaev8RvXJz/6vSdyWAeVKBhytZTb4pyv53peZ1fLDOqQXC1X7r0l6wBW93c1nwO8Txl807FH\no5i//3+yLrkgoJuV4ZL6KYJHs+/BQaBXc7ckV8m8rc7OAcnwafJxAPC80zYvbOKpA+YAhNH2OWyP\nxTkDRh2t8GVl0QNcaJqVyOLc2YOZBG99kKeuZwxGd3xy5hU3SmYVYFZxcxLI1ax9NEksECegQBvI\n0gVmPcki65Lbgg+BFXDpaulcSngimLmtTF3+gjOOKwZ62XaMsJxnYEftggZ3DoImqx4x0I10vWjQ\n3P532gWTE6Y0vUmAr2eMvhfJEvQCtYtlE2Uoa90QsAP6gI7282fUrPgZgE/PTjtFZGyc/OIKO+eP\nO2mxa2+gsCcDjLBKxkUyXgSgOL7N9GPehpKj0P4HD3T9c3oM3FD2zPKa05g6g7oT4RKfo2hh0wxV\n+qSBexzqV2R4gUF3wjnIY0f9motyFlJxocuceuzWlqNtnR9k5wDq63PGzUkJPOLFvyVbFzyC3CZj\n55zL+0slkwCgKOOjFdXYNsKH/3DtD2VBGd3xyaoxdlkyHmi+s/QLktLFMp0dFwGmt9IIBlAW7aCM\nyRnIZVdLYE5XS852qefd1TOelUFZpoDqrpZi7leyQOjOZrJz5lN/pgFc72YGAB3vn54QxQBssJHJ\nUBjQ0XcU7pYABPOm2bkI9Ew+RmwH8hy0mfKUAnOl1B7lIHgTy6xjH9jfVhk58o0urwuIjJYlQ6cm\nXgnytDRf+0T9ZjZaPvpf8/0IV0slJTibBuTmGLyJAVGJTlC1ocavS8exKwO7V+bPXcigz4WAa5dY\nrHFeiQqIiMFMFrv+oG6KAd+qDJaUnZLj4NJ+08T6M/TZNBQzJwZ3Y/O2udwroe+rAHrBGNjVA5vy\n/B462A26WCrwVoC6+KzjXwncmBktJBsHinibISn76+AgU2fntlohAYDzdq8wiJMATjJeEkBJto5r\nywl2rRZLd/qOUfW8uRd5vRIACldNDkA3OkHVUqUaFxnqn2si3Jd7UmNBjMHoiW/3217VvXIOCbnm\np7zi0WDHv+b843O9OTGmA5p9B7LBb6rwYJEHju74s4SFXQK37DbJf2VWy/TOQzEQ9YAcgTgGf5vo\nbjnLYg30224pCxrtqGbnovh68OuBymAf4Hf2M0Zvplx34QkqtGMeV8vsEZLnZDKhUC4F1hvTXLzy\n4D8Kj5rSsLsGV8uyNNEWGrqVYaFk5Kb1k1r8HF/UZ4Na0ElPbPBwx52sjaoS9CEbtMpkKJJ1g9hO\nDB5vMwYXn5zL/2yGPOXAXMD622WPaQtgJfzsnbk+mXbnCmo7W2AAoSTrG5Ne3wzi6BiZdh6bM6kq\n14+iE/Xi5vi4igITKhktp8TSTctJQhZXipcLxMgl62weSKWrJWU/8+hcQLfJSU+G5OKTt7PFToFV\nBkl99osKjAZjgEaAOGPF5zigd5f8MEZf+wSkeyWzcak9DQE5nbHS9L6/V3zY2CJ4e7lCQH9m4pMK\nqJsG6Pj60C6YJC7M6HvVwaaiJBUxckYsW62QkBCIk9ktGwGk1hMXN7IGew67Xv04uSwUZycAZZks\nhV0x0++p1SPcaFGF4ElUYxr6PPWq+eOAW5sqzTPgkrmW/kkW6RO2V+pRboGQsS6zdGBXSwAqbk5K\n780nEKC5y4DR4/cJxS4OIgbITFvvb5m5UrBFTrtVqqRhISdHCd5tSrHm0T/dlFeWmE2zHDtXGjN3\nSx/KYhn3Qby3/P7cFnozSLnm/ONF3H7d1ZL0EtJhSldLNZfKsgViLlbAzeR5n3SAXgw8xdtPcbU0\nJdsnZFPYuRTSw8QBUAd088TPAfO7W+5/KIM4OqcoJj7EzgEZ4FHdOYCAXTz2wuM3r44xyVMOzK1F\nagMOK9rFzvv2tYNulDWrYJ5gjO6c1aDXfKyyoqTJuPnHj8z+MRsgU60hJFU63PUU33lBKA388rnX\nDIoU8E6Tewh9UMeuD+nzj37viXPexfLl/N1jVjx8MbArAKWCo8vBnICfAHTWxkm7MAiQgldmwRoC\ncj2/+5Ktg7hX+mwtTFkkeYPlwYOusMCLQqxJpoG6EtDFz9klZpoEFP1Y/R06qX5RUxg6ui2K96jJ\nmTvHkPV0yJUkpvsv4ueMBk4MnopttJywzdZj32acN3QsWUyJQRx007Smjrc3UKjmFbvtVZLbxM8L\nGpVmsW4ARo/fP7hvbhkwsm2hsb4n15x/PLtZEjvHad9l/y4YeUD03YHn3+0+swK8Q7b001jDf4XX\nSalUEpDjG/LMxDG4E+cuu1SBve3Gjb9oxTgQir8AMKkYUefpAXR1YkL4TKGMrynOb4lC8flDrpYq\nfg6phdG8a+U8K4BaAnkGyIAP0OwcAI6pL6XWgedxtRTXWiagC8R2E4PtKoTBPICOjy3cLYFhd0sg\nsnO0TQC6IXaOtxnwfAjQaxMZodP6ZstTEsw1sl9MOa5nhfeBU94DeuDpJ0BJbBAxRurYoC2Fpuis\nQP9vXEEGfUlS2nmm1Jckc/vvD/ndr3NSWnX1587bQmZPordKnFileyW7VbrAxWZbd3QN+sYY5SnC\njneVWLTAA7pYtxrAkctl94wX9/3SEtgzBUsnLXhJ/QSBxsGkJyqWzgy7Xi5BvnOg4/ddgrja9hLU\nAX1AVzO6SHZOuloGxAE9vqfcR0PZV5X02bmekn+UKSRAcpc0GcAx68WAS7Ntqmi4zdtGjV4OdqG3\nTZ5TLosWLJ/F1B1sl/SspXIP8Vll+M29bK5LTnN0LLLWwhiEAddK5bLZ65+z72bHUODTFslV5+4S\nY712tQSg+j8wB3BIg/DoiW+zG58RzBwAdq2Mip4oM0AsGw/kBZAjxXAoZk6MYctUmA2wwS6dtXYT\nt9EvmmUcK6WW+EQWqqd3w4AuBLhjT1jsS5YsV5+3Oxa3D3VXSwJyAZmx6ydC0cbcYAyM9I4pwy1E\n2AWUbiDcLqnfk66gdMtGH1PVSZcof/fHAKAAHQAN4ITkPuR6rplVd0sZP5fWpQeFYufoeGCYnStB\nHDLGkO6Y5+3e3BIuJOuObF5dXcWrXvUqXHHFFXjjG9+IvXv34i1veQvOOuss3Hfffbj++utx4omR\nGXnnO9+JAwcOYP/+/bj88stx1VVXrfsHDMk2C3RT5u9QDPgSxDkf0FgxQIX4kqKrZaw/URvTfAgw\nwVSy4MkTIgOlKjsZC8BnsEfKprEAUsNMHay57Ua4Z1878/evWbyfaeUN3sFsYN7VaQZrYkWycTXw\ndrZ0eZHpzAV0IWe1/MlLThm69JbJObvGePhQl6x1Jme0tBbBxwE8W+io8el1Y5s8uNkG429+pu8H\nD/QMCex+gQQsxT4F2OQk0HP5kMflzwbzWV4XFVbSZhxnxbHGGI55C+kRegTYkJUEAm/SVWJIVPyc\nERed2ngH9qVJY7NrI80jpx47wqOHnbJGShcomrBIysemYMiMhzqUiXA9bWiR798I4VIEwpoLoTCk\nDwteVLSroTYmxt9Ff2U2SlS+GvG5bbfL6MnrE2NMHOtt7Mfk0mab2NebhV93gNt5aow9TOv01yCP\nJSopSsmsVWMlpwA5eY0lS/OlD1XnhDh/l9vnfHhVtqe/TRrctjcGh7vZ7al26V5JgqXMMBsjMqtl\n6zyssXCeyIWAgNhODREAhUdMMD7N/XHpTnw6xnvuTeseCHK+TtuS7miaJj5zk8cN1hGshfEidZix\ncbJM7ZEMzENjjX/vW2Bf8Ssb+qwUc01jmXdRN6aEbrROJ9mmdzwAdUzExw1MICiN+HuVIdVEdbux\n6HacgubgnrQ/HecRny0Ak/Qa0iMcxBzI+kXWfLbSm2HdGvkNN9yASy65hNff+ta34vLLL8drXvMa\nXH311fit3/otAMDtt9+Om2++GW94wxvw5je/Gb/927+NAweWlzhh2kQeBtWILG6GeYks9yGxc8oF\nDGSNycAjMximv6T94u6Lfcu1kE5j5arUd3nMWicn8buS3Q27VpJVuWA8Q0i+6CjTVItaLz4Duc4F\n/MTFJ6/tvjZBnI+/jbJyUqBzHtgbts6V1jvygSd3i/aCFyL7z5dLduOQVrtZ7pW5ppxg3oTrB1Ic\nnXS9pHa/kRKI5VbblPGcRR7Xs9LL/hmwsPV4bSJMOUXs3NGrkgAnbbfsrkhxc8TONQU7V2PmmF0z\nwDEjM+g2OcTIrYels2lhtk4sNbevdQuxMCWrUyaAGvq7UbdBH6bNFQsw6FuZ+XeaXH3ebmHAyy5t\nNRZESq+/hwB33MkY7X+I1+Vfya6xi6UsxxMEMJOsHMfQhXxsmfxE3kaqQefe8zsb9oyqMstzZpqu\nQUyv2MTG5jna0zxAjr+q9pn7V3wnfgvqcc4jVz59Vypw73OMHGQ9XGQPIwgjtbEIHD6R2bnR3geK\n+T+zc+SdkzNbZ91SsXOCdWO9YR52rmYY3kj527drL6/S40u017nj50iku2W8QGbbABVXN5KlCtKx\n8Zg8X5fsHECu/sLIaeJ+mVNjs2VdzNz73vc+PP/5z8cdd9yBQ4cOAQA+9alP4Rd+4RcAAM973vPw\npje9CQBw00034TnPeQ4AoGkanH/++bjllltw5ZVXrucWpsqOsQU26Nne+fgEHoA1kZ2rWQFZmRX7\nssVQgra8hBQfR2wdrdPIGa0rqWHZBlhCSmHzstfPdrP0bmkdXA71e1c9TjxKgu6XKWdUivCGZgWh\nWZyiX7n3lr6rlRAVLwdUgZwCkvGk7MtP63JfweQRgzpX9scFhCaeQZIryGPj32RjQwhBMXRxX1Ap\n6yU7F/u3WDeAJQZOHC+VmKMZlK1VjDHYvW1jXqQLYC+HeaR8zxv5fJfjNRiEIlCxMAhHZrnOf+cB\ndaVluXYINobppXjEo1n++Tm71nReNJA1CKNtaUPZ2JJJkdwmq8xcBulKgeyBdd/fT4acyhzevPKN\na/pNa5E+K1cRnk8kDS8/z+5M8ukeM2K3htnfXV7HRGtSaMbA+JiFz99MuWINtWyDscBoW26XSUb7\nHkT2xklzTgiqVFGwcewJPrFzQG6jJumWtgEn7iFZkJ3baFE6Z2LbAuVcoPYp9d55pGTqmiaPm9Re\neT10RjInAAAgAElEQVSxfI2NhcRnCBkExzBrcQHYFFkzmLvrrrtw991345d/+Zdxxx138PY9e/bg\nuOOOAwDs2LED+/btg/cee/bswYUXXsjH7dixA3v27FnHrc+WA23KZhhS7TEvmZxsJSEWrrTmEfJu\nrMGFx49x996W94UAeBP7mQUpeUjXSTDNGDQgQCep8Qo7Jxe6mLXcQAnUSRdLe/P/AFxXD8Ce4dpB\niq552evjhpf+AvswsxQAbmH3yikKyNBwsWvF4NHDLpYXcPl9dcl1YdL5GA/nPFbT39ZTnJzn99yF\nAOeBf/OcoyNTYCn372+xvbFYaQwvI/iYSKSbwLgWcC2M72BclwZjB+O7bElK1uLJuZdi5d5b+NrS\n1TB+SKAsWfKmAbk+Q0fAxeh9JdCDVgKPuGiNlFZJihmQbBnFsvXiXpAzx569c4z79sW+V2PU6Hul\nZ1oV0CHfcvzu+RRXCQbZeif98b1X76SXQQtBWQapT6pMhEeRHGizyyCn+U/7qE3J51aqaVLnW3Te\nq0Ohxc4hGfpqakMG+l5755Fyz+vZWktGl9CswHZHihg5zcKaUtGf6+7Lm5oO6LpdZ0Tlj64qGHP+\ny/1d9H9i1+0IMJZdxY6ycDklH7n7CWwfWWwbNdjeWGwbWYwbg3FicuPfOG/TtsYADXwcU10L4zoE\n34qrynddAXEUMwdoxZjmXAJviX1TbmQzgJwUYuhU7VCAwVUvYyGVlRHx0/6Fr4rXeu51aKYlQJnp\nBi2PWQMIE5+JnRvSseir4hht2M27MUi6TZwHje/gjlJmDgBu+tY+bpPbRxYrjU1tEjFO2PTbZ2MQ\n53nfAa6DSb83wMAQyElzsTFxZmO3ShsBHv9FcqsECrfLBAqpHXmXhyMCe+UYk7ZLF8tFGGRuw3Qt\nAPZHfkkfRDrmNHdLIAM9CLA29DldJzgXAV1EuzkMxNioO6Xtzf6HxXg4SrkJRgjNiLdx4r2EITgR\nkw8JQ0Rd57Tjtq4m55q/+aMf/Si2bduGP/mTP8Gtt96Kruvwrne9CyeffDIOHjyIHTt24MCBA9i1\naxestTjppJNw8OBBPv/AgQM46aT5Usted911vW0///M/j9e97nWD50xcWGj4qRUN9iHwYHPnEy0M\nwOwcNaEgLPcE4mSxwJAsKYp5q8XNlTF0xifFOyvN3TMzi9nc+gHOblQTFVNV21+cS+zgwpJ8sgdu\nYubpUs85bmQ4jbjcTlmhXJBuljljJblXSiDXuhwgP0ve8Y534I//+I9nH1iRtbRNAAx0cmr9lMjA\nNMlvvgFsBAAUCA0E9UxD8pXf9sBt0fqWLpznXzFRJqudLieQ6x9SuxtMekLtY4DJk4CHgJwujN7/\n/TUgRypVCDFz7Dm7IqCb5hZJ+ySoqwE6/l6j2bl5hX7jYmeGdVk6t6JtliCOM3UZMUpJcAtoJSDo\nbcE0ObZs8Eutvt6UY2qyyBOuAswaUOploszfYrsj8KNYR8g322D94eL4ws1S3uWaE9+wOlJsttld\nEALIif2LfINBnD9XZiDxrWib7/v6Y9g2srmmqCVXSyOyBwKq+EDBrpMYxGyyo8fuG/5CMtbIa9Hf\naeEF8rwCyAU56AEY/cSb+qc7F5XZNXjE2H94D/wLXgkAcM++FqOvfHR6HHwN+Mu/gAZ1xbVovKa/\npWxvgCMuP7vqLVSaWq0kAYJHc+CRudiUtbbPtbbND3wjts3GANYbjHk+C3DBwCS8EoGAgU1gwFiD\nxjQIJsAYz7Fzbtdp0UBjmxTHJTxCEilARn5jI7hjdo7avIydM0bpecYKJs82GeBZy21XArlFE/Vw\nGwa4Hfv338CAruYRJuM5gxPZ0Ys+MJVYSPGBBknvkeOtBKzBoNt9Nkb7Hsy6TfBR90qG2pC2GWOj\n+mWS9h7yPCn1zAf2tzhzDlfL9YydQ7JmMPfa176WP08mExw6dAg/+7M/i3vuuQdf+tKXcO211+LW\nW2/Fi1/8YgDAi1/8Yrz97W8HALRti7vvvhuXXnrpXN/1oQ99CGeeuTYXEjOFNp5HAfDJhN9YgwtP\nWMFdT0zSdnAiFB8AYwIaZIUx0NfKQWoWI1cwc0GdI5gQKdIiI9fnVBjCh/8ws3Mv+fk+O7eRoiaH\n7KZGg/yBNqgJQSr2MrUvM6oE6tJ2H8CMXGT2PH7/89/GGy47a+ptve51r+sN1A888EB1UC9lLW3z\na48ewbHjhn3m6RlE991sPc/WOBsHeqR1ca2AZPltYutTll/yqQcy8CeWDei1uyDO0+1NtD9yv5Tb\n0We4CJip9ybXoWu6lUCulHN3j3HP3nr5g5S8WYG6EtDR/vI+aVvpalkKs+/0uxcQZSYRCt7osW+h\nO/HpU8/d7LZ5qPUx3gxgCzlAE1cFvJV/eX8GPwZd74lVx95Z8V5TxjQz5XwJbkzvPgeuWbJy5bnK\nZckU4C1boqpgd61CLvqSgkYCJIKVy8evjV4zA5ixlM1um//9H7+L7SOLUTAKyAE0jsYJVxsCpXHV\n9ObQ6nOjk9WqAOKSaQtxQBssdCzTrgMIU7Ird38Z8wuYpvLeKonJiK0IwPweMzPYuIGTppyf5he6\nJ2jQts1GICePGRL6BdpgFjIwLp79LKm1z4cffhgveclLpp63lrbJ2c0D2NAgE6EQUxaN0RHI+WRk\nDEA22FoLhMiiNQceRbfzNI6dY30gBFDsnGLnjImgJ1osM1iDNgPxZy90RnK3FElTakYM0zQz2eVZ\nIgEd6D5qyU1qAI5W6Pj0W+Zi54AM0OKPiqVdSN8JHoq18x6UZMaI7yAQFxKoI6G4ufv3tzNj52pt\n88EHH8RLX/rSqedNk3Vzgh/5yEfwhS98AW3b4sMf/jCuv/56/O7v/i7uuece3H///fjVX/1VAMCz\nn/1svOAFL8Dv/d7vYd++fXjTm96EHTt2rPfrqxItx0YpUUNjmCpFEIJKtCAZNucDvvn4hNk5Mlp6\nAA2fH0EcoF0tTULxDTUJa6OP5lDcHNHpQgFvv+eyfF+33ahAHPtFAzFrEQNC5E5JVPq057ZWdm4e\nUTFG/ZdxzMhg3yQnpmFLX9pCIE4mPiFWzoXEyHkP54HWR3dM5wNWp6U03QL53LcPYMe2ht0PnTdw\nBnAmtSPbINgmu+VZ4fftAZhGDV5R4pNaPf37se07t+utpSIjrK5V90pi7IrtQZwrE6IQQCtZOfUe\nQwbpcV9uZWRN5/sNeTsA3Lu3xbm7pw+MgVtVBnU9QFdj50Rmy1II3MEAo3QNfeiCStGAQWm05150\nJ5272LWWJCGEmEAEJTOH5D4askKVlCwDaBdDoKps+W07YFdzwquZT28IiFSUVvVka+dRHGoIgO9m\nfXP+XaUUv9OuHoDfFucwv3Ic7Or+fBvKUlFh7KZ9BpIHx8BoLD0/gLp75aJCiozQ+g53QcQ6bb1Q\nhuLOZSBH88EYYFeoHNqQz+09SfkMjcnvm9o5feYvl0xbsb0GLmQSlClArsbK8a1IZqN2/SkAzt7y\nXvhLXwEA6L7vX2B0xyfjjvS7mcHh9qJBWcnKhd620uBXlyNTVI6hkgT8GdDvgscfj9Fj96E78Zyp\n372Z8u6vPNIzNLTew1qb5qMAnwwNcc6ssXMx8Rmzc7ZBc/DRDNBS7Fw07IbIzjVRV2B2DoDxQh8E\n+h5aKeRC7ScgmJix4J0CXOF9b82nrxXQVQDaLHYunpf6zSIMNbFzNhm5Zexc77NVLJwEdumGGNCR\nXsH3b8AJx6nzbNWIuW4wd8011+Caa65R237913+9euyrX/3q9X7dfEJpRpPMerhk3SuHWpesetLd\nktg5KlPQmKSshqj41Vwt840I5m0OZg4w2dWCf1ui0r2bDb5Ka/aAdVuyc+ba1yJ85E/ijrLz1BSF\ntSRFESCVOsah1gtGrlT+wW6W0QIms5llVs4HwHnP9QJXE6D7tU/cg/941XmL3+cSJNa+swijZMFD\n4WppAKOAVLLG2YBAdD/boEmicj1+6KsV11ujnjet92vbJLBWSXqiJnxSIMT2aawc3V35t/A04kx0\ngN4ugd95uzMzTiK/OyQVmK5RY9gWTdLiAbSiVAkA0UcXEakkZqXw6FGVgVUfR83GGs3EqRhAAeAY\n1KW/JJXf1RzeO9c9ZGVyiDHrj0EGEG1Un+dXjuXP1q1O//JZGf+mMQKkJGu6Gfq5DIO36vUGDABS\n3M7T2MVy5lzwJJY/uPkBHDNuMLZxXm59wDhkBoRKFPS8OBLb3gBgZrM0y9Se8zzszzraS/Aeo598\nM68TKwdE0KfYuVIJntP10n7pQ/DPnc2SRnWDxvyi57LxT842s0ctD12SYE0ulvRtITnOpv4ki0If\nDUI6iTQ05PaZ2qYxyXgbohcfDLfRaewcjI3s3L7v5PnfBGF8CRG4WVEygwFMAOC5rUhGruduSfGe\nFaO/f/8Nve3rZegUO/fSX4jZLcs2XYmdi9unMHJAr68EABglqJOeWwASgMuJUDSQG3a15GdQ/CY5\nusgQkc2SJ/cIXxE7iVk1iZ2bV4biq3Jh0sDsXG++BlkFNcOQAUl2IWNGBCaneGfXN7FOwA7A5Nzs\njpotbOnVUfr53oMQKWiHBmoh4cY/GtzXu94CMs0iSjLWfUS5amQgh15NOQJ0nYusXOfjIDrpPFY7\njy4lTJl0m1PXZ5a87+uPoXWpdEKK94suoRBuo2B2jgEXpS22TYqryyBPAi4Dg8kZz9IgrALaekAO\nAAM1ed20fahAOLVvkpKVAzSwC6HuXimn5QwAcwERCeAuOF5n+yQgzNcrWlz5XaVkA0I26kjZ3mRw\nqGQt7krF9ekK4z33Ln6tDZaQDFfkYtkYpOQuHZCC841LyXi6Vmx3KXjfpf0xaQ98B7gWcBNe3DG7\n1bpa5Pf4dB3XpuuLpbId3sXvou9NSxAsnFk9ALhu+lKA1nkWe2Qff4ffvoseZlI2Q7FOD3tjFNEA\nqFi5mhv72l0tIzO7tGLrC8qk8wnEeZ4H2Csj5BIFJdNPktPAC+OWcDcfghpcFDxv0H/l9lBkuASq\nrBxlp86eAoG3zSVyzqcEKIUQI0HSPePFWcntpaMv/topbUca+4A8tqP/SGRJgkVsXxnHla6VIRuU\nQsDKw3dMucrmydv+4QG0LuoeZGjwnJzNpzaLHPPv41ItIm6bnHU1zbvNwUf78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kKEdap5g5SoRSsybr5CehWEfOyMbW5CYq5uqZ15f6QBZFJeSZw/XvuAGr/SBwUv0tHwv0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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "wfe_ind = 3\n", + "vlim = 5*drift_list[wfe_ind]\n", + "opd_ref_list = opd_ref_list_all[wfe_ind]\n", + "\n", + "fig, axes = plt.subplots(2,5,figsize=(11.5,6))\n", + "for i,ax in enumerate(axes.flat):\n", + " im = ax.imshow((opd_sci_list[i]-opd_ref_list[i])*1000, cmap='RdBu', vmin=-vlim, vmax=vlim)\n", + " ax.set_aspect('equal')\n", + " if i % 5 > 0: ax.set_yticklabels([])\n", + " if i < 5: ax.set_xticklabels([])\n", + "\n", + "#fig.tight_layout()\n", + "fig.subplots_adjust(wspace=0.05, hspace=0.05, top=0.94, bottom=0.18, left=0, right=1)\n", + "\n", + "cbar_ax = fig.add_axes([0.15, 0.05, 0.7, 0.025])\n", + "fig.colorbar(im, cax=cbar_ax, orientation = 'horizontal')\n", + "cbar_ax.set_xlabel('WFE Difference (nm)')\n", + "cbar_ax.xaxis.set_label_position('top');\n", + "\n", + "fig.suptitle('{:.0f} nm WFE Drift Maps (Pupil only)'.format(drift_list[wfe_ind]));\n", + "#fig.suptitle('WFE Drift Maps (Pupil only)');\n", + "#outdir = '/Users/jwstnircam/Desktop/NRC_Coronagraph/WFE_models/'\n", + "#fig.savefig(outdir+'wfe_diff_10nm_lebreton.pdf')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Science PSFs" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "psf_list = [\n", + " ('F323N', None , None ), # Direct Imaging\n", + " ('F335M', 'MASK335R', 'CIRCLYOT' ), # Coronagraphic spot observations\n", + " ('F335M', 'MASKLWB' , 'WEDGELYOT')] # Coronagraphic bar observations\n", + "\n", + "\n", + "# Filters and masks\n", + "filt_direct, _, _ = psf_list[0]\n", + "filt_coron, mask, pupil = psf_list[1]\n", + "filt_coron2, mask2, pupil2 = psf_list[2]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 6.96 s, sys: 2.68 s, total: 9.64 s\n", + "Wall time: 25.6 s\n" + ] + } + ], + "source": [ + "# Direct imaging\n", + "%time psf_star_direct = [sn.get_psf(opd, header, filt_direct, None, None) for opd in opd_sci_list]\n", + "psf_planet_direct = psf_star_direct[0] # Planet and star PSFs are the same" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 11.8 s, sys: 6.36 s, total: 18.1 s\n", + "Wall time: 6min 7s\n" + ] + } + ], + "source": [ + "# Get all planet and stellar PSFs for coronagraphic observations\n", + "# We really only need a single planet PSF\n", + "psf_planet_coron = sn.get_psf(opd_sci_list[0], header, filt_coron, None, pupil) \n", + "%time psf_star_coron = [sn.get_psf(opd, header, filt_coron, mask, pupil) for opd in opd_sci_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 11.6 s, sys: 6.35 s, total: 18 s\n", + "Wall time: 4min 29s\n" + ] + } + ], + "source": [ + "# Bar Occulter\n", + "psf_planet_coron2 = sn.get_psf(opd_sci_list[0], header, filt_coron2, None, pupil2)\n", + "%time psf_star_coron2 = [sn.get_psf(opd, header, filt_coron2, mask2, pupil2) for opd in opd_sci_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 28.9 s, sys: 7.69 s, total: 36.6 s\n", + "Wall time: 1min 32s\n" + ] + } + ], + "source": [ + "# Get all planet and stellar PSFs for coronagraphic observations\n", + "# We really only need a single planet PSF\n", + "psf_planet_coron = sn.get_psf(opd_sci_list[0], header, filt_coron, None, pupil) \n", + "%time psf_star_coron = [sn.get_psf(opd, header, filt_coron, mask, pupil) for opd in opd_sci_list[0:2]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Reference PSFs" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 28.3 s, sys: 11 s, total: 39.2 s\n", + "Wall time: 1min 43s\n" + ] + } + ], + "source": [ + "# Get all reference PSFs for direct observations\n", + "# This includes the multiple drift values\n", + "%time psf_ref_direct_all = sn.gen_psf_ref_all(opd_ref_list_all, header, filt_direct, None, None)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 46.8 s, sys: 28.7 s, total: 1min 15s\n", + "Wall time: 24min 33s\n" + ] + } + ], + "source": [ + "# Get all reference PSFs for coronagraphic observations\n", + "# This includes the multiple drift values\n", + "%time psf_ref_coron_all = sn.gen_psf_ref_all(opd_ref_list_all, header, filt_coron, mask, pupil)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 45.8 s, sys: 26 s, total: 1min 11s\n", + "Wall time: 17min 53s\n" + ] + } + ], + "source": [ + "# Get all reference PSFs for coronagraphic observations\n", + "# This includes the multiple drift values\n", + "%time psf_ref_coron_all2 = sn.gen_psf_ref_all(opd_ref_list_all, header, filt_coron2, mask2, pupil2)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 2min, sys: 25 s, total: 2min 25s\n", + "Wall time: 6min 9s\n" + ] + } + ], + "source": [ + "# Get all reference PSFs for coronagraphic observations\n", + "# This includes the multiple drift values\n", + "opd_ref_list_all2 = []\n", + "for opd_ref_list in opd_ref_list_all:\n", + " opd_ref_list_all2.append(opd_ref_list[0:2])\n", + "%time psf_ref_coron_all = sn.gen_psf_ref_all(opd_ref_list_all2, header, filt_coron, mask, pupil)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(1024, 1024)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "opd_test = opd_ref_list_all2[0][0]\n", + "opd_test.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Speckle Noise Images and Contrast Curves" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "speckle_spot = [sn.speckle_noise_image(psf_star_coron, psf_ref) \n", + " for psf_ref in psf_ref_coron_all]\n", + "contrast_spot = [sn.get_contrast(speckle_image, psf_planet_coron) \n", + " for speckle_image in speckle_spot]" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def get_contrast_old(psf0,psf1,psf2):\n", + " \"\"\"\n", + " For science and reference PSFs, return the contrast curve.\n", + " Assumes no noise other than residual speckle noise.\n", + " psf0 is the planet PSF\n", + " psf1 is the stellar PSF\n", + " psf2 is the reference PSF\n", + " \"\"\"\n", + "\n", + " # PSF subtraction\n", + " from copy import deepcopy\n", + " psf_diff = deepcopy(psf1)\n", + " psf_diff[0].data = (psf1[0].data - psf2[0].data)\n", + " psf_diff[1].data = (psf1[1].data - psf2[1].data)\n", + "\n", + " # Radial noise profiles of PSF difference\n", + " rr0, stds0 = webbpsf.radial_profile(psf_diff, ext=0, stddev=True)\n", + " rr1, stds1 = webbpsf.radial_profile(psf_diff, ext=1, stddev=True)\n", + "\n", + " ## Total planet signal at a radius of 0.5\"\n", + " #rr_psf0, mn_psf0, ee_psf0 = webbpsf.radial_profile(psf0, ext=0, EE=True)\n", + " #rad_asec = 0.5\n", + " #npix = np.pi * (rad_asec / psf0[0].header['PIXELSCL'])**2\n", + " ## Get the encircled energy of planet at radius\n", + " #planet_signal = np.interp(rad_asec, rr_psf0, ee_psf0)\n", + " ## nsigma of planet signal relative to noise\n", + " #contrast = np.sqrt(stds0**2 * npix) / planet_signal\n", + "\n", + " contrast = stds0 / np.max(psf0[0].data)\n", + "\n", + " return rr0, contrast\n", + "\n", + "def get_contrast_all_old(psf_planet, psf_star_all, psf_ref_all):\n", + " \"\"\"\n", + " Return a list of contrast curves based on a list of PSFs\n", + " \"\"\"\n", + " nopd = len(psf_star_all)\n", + " return [get_contrast_old(psf_planet,psf_star_all[i],psf_ref_all[i]) for i in range(nopd)]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[,\n", + " ]" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "psf_star_coron[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "contrast_spot2 = [get_contrast_all_old(psf_planet_coron, psf_star_coron, psf_ref_coron)\n", + " for psf_ref_coron in psf_ref_coron_all]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "hdu = fits.PrimaryHDU(opd_ref_list_all[0][0])\n", + "hdu.header = header.copy()\n", + "opd1 = fits.HDUList([hdu])\n", + "\n", + "hdu = fits.PrimaryHDU(opd_ref_list_all[1][0])\n", + "hdu.header = header.copy()\n", + "opd2 = fits.HDUList([hdu])\n", + "\n", + "hdu = fits.PrimaryHDU(opd_ref_list_all[2][0])\n", + "hdu.header = header.copy()\n", + "opd5 = fits.HDUList([hdu])\n", + "\n", + "hdu = fits.PrimaryHDU(opd_ref_list_all[3][0])\n", + "hdu.header = header.copy()\n", + "opd10 = fits.HDUList([hdu])\n", + "\n", + "nrc1 = pynrc.NIRCam('F335M', mask='MASK335R', pupil='CIRCLYOT', oversample=4, fov_pix=159, opd=opd1, save=False)\n", + "nrc2 = pynrc.NIRCam('F335M', mask='MASK335R', pupil='CIRCLYOT', oversample=4, fov_pix=159, opd=opd2, save=False)\n", + "nrc5 = pynrc.NIRCam('F335M', mask='MASK335R', pupil='CIRCLYOT', oversample=4, fov_pix=159, opd=opd5, save=False)\n", + "nrc10 = pynrc.NIRCam('F335M', mask='MASK335R', pupil='CIRCLYOT', oversample=4, fov_pix=159, opd=opd10, save=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "nrc0 = pynrc.NIRCam('F335M', mask='MASK335R', pupil='CIRCLYOT', oversample=4, fov_pix=159)\n", + "im, im_over = nrc0.gen_psf(return_oversample=True)\n", + "hdu = fits.PrimaryHDU(im_over)\n", + "hdu.header['EXTNAME'] = ('OVERSAMP')\n", + "hdu.header['OVERSAMP'] = 4\n", + "hdu.header['DET_SAMP'] = 4\n", + "hdu.header['PIXELSCL'] = 0.063 / hdu.header['OVERSAMP']\n", + "hdulist = fits.HDUList([hdu])\n", + "\n", + "hdu = fits.PrimaryHDU(im)\n", + "hdu.header['EXTNAME'] = ('DET_SAMP')\n", + "hdu.header['OVERSAMP'] = 1\n", + "hdu.header['DET_SAMP'] = 4\n", + "hdu.header['PIXELSCL'] = 0.063\n", + "hdulist.append(hdu)\n", + "\n", + "psf_star_coron3 = hdulist\n" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "psf_ref_coron_all3 = []\n", + "for nrc in [nrc1, nrc2, nrc5, nrc10]:\n", + " \n", + " im, im_over = nrc.gen_psf(return_oversample=True)\n", + " hdu = fits.PrimaryHDU(im_over)\n", + " hdu.header['EXTNAME'] = ('OVERSAMP')\n", + " hdu.header['OVERSAMP'] = 4\n", + " hdu.header['DET_SAMP'] = 4\n", + " hdu.header['PIXELSCL'] = 0.063 / hdu.header['OVERSAMP']\n", + " hdulist = fits.HDUList([hdu])\n", + "\n", + " hdu = fits.PrimaryHDU(im)\n", + " hdu.header['EXTNAME'] = ('DET_SAMP')\n", + " hdu.header['OVERSAMP'] = 1\n", + " hdu.header['DET_SAMP'] = 4\n", + " hdu.header['PIXELSCL'] = 0.063\n", + " hdulist.append(hdu)\n", + " \n", + " psf_ref_coron_all3.append(hdulist)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "contrast_spot3 = [get_contrast_old(psf_planet_coron, psf_star_coron3, psf_ref_coron)\n", + " for psf_ref_coron in psf_ref_coron_all3]" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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v2IdGo8Ha2toY87U5u5pLtVpt/ANJrVa3+Lxe1dz59fX1ZeHChQwePJgZM2Zc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\nYe7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Gbs9nai7cxNzr+TiuR6nWYb5SZqY9RYVpepEqQRAe69fTeNUcfjMNvbXlMhFdJZOM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\nqQ6KEk6Y2z2URNdVdE0hGtk+Idn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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots(1,1, figsize=(10, 5))\n", + "\n", + "current_palette = sns.color_palette()\n", + "pal1 = sns.color_palette(\"deep\")\n", + "pal2 = sns.color_palette(\"muted\")\n", + "\n", + "for j,drift in enumerate(drift_list):\n", + " r, c = contrast_spot[j]\n", + " ax.semilogy(r, c, color=pal1[0], label='Spot - {:.0f} nm'.format(drift), alpha=0.2*(j+2))\n", + "\n", + "for j,drift in enumerate(drift_list):\n", + " r, c = contrast_spot2[j][0]\n", + " ax.semilogy(r, c, color=pal1[1], label='Spot2 - {:.0f} nm'.format(drift), alpha=0.2*(j+2))\n", + "\n", + "for j,drift in enumerate(drift_list):\n", + " r, c = contrast_spot3[j]\n", + " ax.semilogy(r, c, color=pal1[2], label='Spot3 - {:.0f} nm'.format(drift), alpha=0.2*(j+2))\n", + "\n", + " \n", + "ax.legend()\n", + "ax.set_xlim([0,5]);\n", + "ax.set_ylim([1e-9,1e-4]);\n", + "ax.set_ylabel('Contrast Ratio')\n", + "ax.minorticks_on()\n", + "ax.legend(ncol=3)\n", + "ax.set_xlabel(\"Radius ('')\")\n", + "\n", + "ax.set_title('Contrast Curves')\n", + "\n", + "fig.tight_layout()\n", + "#outdir = '/Users/jwstnircam/Desktop/NRC_Coronagraph/WFE_models/'\n", + "#fig.savefig(outdir+filt_coron+'_contrast_lebreton.pdf', facecolor='none')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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pE9bW1oSEhKDRaHjzzTcJCwvj3LlzfPjhh+zbt4/o6GjmzJlT61jqqijxAmVXs+q1TRMn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\nolEGH/oP3Hv3Lb4mVasXpuoVFqC0puHeu49Q/wAAEqUSqUZDKh5HnW0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G/MSTCfRKceOd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OGXiWvdP0JIgSSix6V/Hs+z7z1WXmK8tAwGRqjLHk8H09r1KtTb1lYzse5bq1M6palgQkUUSS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\nU/DfMxh82SRcl1yCY0QxZoeDcGdHoiV1oLGR7h8P0bl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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots(1,1, figsize=(10, 5))\n", + "\n", + "current_palette = sns.color_palette()\n", + "pal1 = sns.color_palette(\"deep\")\n", + "pal2 = sns.color_palette(\"muted\")\n", + "\n", + "for j,drift in enumerate(drift_list):\n", + " r, c = contrast_spot[j]\n", + " ax.semilogy(r, c, color=pal1[0], label='Spot - {:.0f} nm'.format(drift), alpha=0.2*(j+2))\n", + "\n", + "for j,drift in enumerate(drift_list):\n", + " r, c = contrast_spot2[j][0]\n", + " ax.semilogy(r, c, color=pal1[1], label='Spot2 - {:.0f} nm'.format(drift), alpha=0.2*(j+2))\n", + "\n", + "for j,drift in enumerate(drift_list):\n", + " r, c = contrast_spot2[j][1]\n", + " ax.semilogy(r, c, color=pal1[2], label='Spot3 - {:.0f} nm'.format(drift), alpha=0.2*(j+2))\n", + "\n", + " \n", + "ax.legend()\n", + "ax.set_xlim([0,5]);\n", + "ax.set_ylim([1e-9,1e-4]);\n", + "ax.set_ylabel('Contrast Ratio')\n", + "ax.minorticks_on()\n", + "ax.legend(ncol=3)\n", + "ax.set_xlabel(\"Radius ('')\")\n", + "\n", + "ax.set_title('Contrast Curves')\n", + "\n", + "fig.tight_layout()\n", + "#outdir = '/Users/jwstnircam/Desktop/NRC_Coronagraph/WFE_models/'\n", + "#fig.savefig(outdir+filt_coron+'_contrast_lebreton.pdf', facecolor='none')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Create a series of speckle noise images for each drift amount\n", + "speckle_direct = [sn.speckle_noise_image(psf_star_direct, psf_ref) \n", + " for psf_ref in psf_ref_direct_all]\n", + "speckle_spot = [sn.speckle_noise_image(psf_star_coron, psf_ref) \n", + " for psf_ref in psf_ref_coron_all]\n", + "speckle_bar = [sn.speckle_noise_image(psf_star_coron2, psf_ref) \n", + " for psf_ref in psf_ref_coron_all2]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "contrast_direct = [sn.get_contrast(speckle_image, psf_planet_direct) \n", + " for speckle_image in speckle_direct]\n", + "contrast_spot = [sn.get_contrast(speckle_image, psf_planet_coron) \n", + " for speckle_image in speckle_spot]\n", + "contrast_bar = [sn.get_contrast(speckle_image, psf_planet_coron) \n", + " for speckle_image in speckle_bar]" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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WjCqLpf9V+69m3tWKnxJQzzhKbtXYllJWvrTvWHAsMz/2YWHMEAavlo3SeMrP\nVA71EXm4OC5E/Rf67aewjqLMDoFB77GKNhTjK0o177ri2er6r9w4xvDU9t5fbODt5f4jCy37zV3e\nnyphEvZnycAYimhVlSmS+yjfjFVJsyQFDuCFYAfg+LfNSHiMTyQPjNKlsFasYVLwQ9p3Xki2Okpv\noQuPGD1moRhInJ/hccLM28PzKWJaLZBsad4XY2OfmZnpUZInhaqmyvQ+MzNTScc9xsMB7cSoE2B7\njB2c02b52fsuAc+XQk6DIZ9PlSvy4V1GwiATgUziyZ8BAv727TMigHizcMtYsb46RjcTj24LkvuQ\nP7wEDxJJmKFRRTAatK6fkO/jxxpCcj1dz8zMwEHWvIkJu0fZ6p3xUdjEqO8KKO7po7Y7H5T31IXs\nqx9mZmZqghLI88B8XIF/9oliiGncAGBCT85VfnGK9W89FlrURXNZpMM8L1ZlAR1DruD3ygnxfm7L\na60nf6Y0/1UKWAV0FU5kd6+Qt2IMQ58LhRNmZkaUHaiwpoe9r9IOg5pn1/0VBLa2MH8G3qiJnF8p\nqWZ+r2YGEmPRshbkMhg4TBmDrCCSUFib3F4KkAFlXcArfbIGpC/tP2MgdYyuA6wDppMWEjIgOFhK\n0KJ8egwQInDgfEpDJISqh1fXZnFWevlZvBR1jQ6SPYm5ZgUvEH73u9/hr//6r3HVVVcNnVhYFtir\nvh8WhT5Km8+w7ZUXQ5XVadRxhuuHiOHtmY9SHljMAItFA3IvVG+/HMIIFbG1QJlu+d74mTMvTOgT\nWCK0jAqr8FVwKNyrTFtcwPl4CVGeTTQH5ecioJioTFEhkHhe/HcbN27EoWvX4tvf/jZWr17dM69K\nm1dfddVQhSz6YVjZdlQaHpZ+45/GkbOHXgvRHKsAqHRBPkk30F0p8Vos+b20S+UCL3l8F8qFD5wy\nXNbYcWA6MUiyOZjONkiIQyIhD7YN57NhVAkjIp8g3ktHeQgih+pN1hASzqQiU6bJ5glgJXGdVQjW\n+QF6rG46BfFau3fTRqwdgjZjvll+r3UbaPxbVU5TnQIzTPvlfqraGQfz6bvq2vi5geKzl69XmmQy\nyByQ+tA/AGgbkkIDYDhK0MkYqVeMLCHk12gfCRjgDEwGKRM6mbSlCebMwFzmsC0V+m1bwtKWQZu7\nMjKTIIXpKepS9D5LtdpUx+rXgTVUyJUo02WZx0Z6ZM+e8ruNo9NnFcbV+cflk3WywyT6qGq3h5ZG\n7Cf2nMcssw1qAAAgAElEQVS8kcn08k5N9Pe0CpPARZ77uPBBxsVCR5akMqHNOsInXVfuT6bArWk4\nGMnBdSko60oejW0jg+nr3df9XIt2EJEUhsk6IjwDQmte0ROitr3FC+CNa8aG3+P5jOdw4zxos4fW\n/fjGwaT54yDaKcoCcV5V8c5++8IwY6njrz20GvEi5TcGOd/KGOhmjI7LeeC0BUw2J3spANjE54Rp\ngS72hTU8vfrq2mxbyLzqrWuBidBxhG2pQ8ZSVXZJYtBmv1fbBM60w7gM+7ZMgo4jzHnebAloW1Mo\nHlKeB675riw/bxogc/7BecCqiGRsa24f5aufl6eymVID42u12ljvQuo7AC722quk5QUDKBJi9VoG\nleK7c+JSwTqubNNTEQcQt633PceL1BhbqBIWlC8fLhlicP1oWyYab+ExDbzDI3dvR3loPaEMpfkY\n/52MjqoFOvCeSLns1274uQ99DEs644yzsAGXvGg97TBLuIkByKUwlARlG1BLmX+pGsMdRuY/lYoU\niNfM1+gkAxgD5zjMX+YYiW2DW04Yr272PtyRWGlQc2U8dcTFNDQ3LXpmB4AYQdiRlUp+fNUzWBak\nJhkmW6UkDbpmiNQ/uW4BxjKf9qoUpYFtcPU9VRtppRFN6YFL10cesCqoJVXsBVTIc3Glf9U6rEup\n5xl0LJR/Tp3QnSHAGhvCETVnp2pNa1SCPmP+mwwgFh50XVNpT5kEquhkHB40bF+j9FMl3A/CpJU6\nM2B9hihraMEAlhBCv2eSKYaCh3ESAnUEBQ0ohLIyAJhS+LWGDjoHUCqFC+CVOlc0TKmwzYhojTmf\nJDWkBuVLFbDSLGooeFQgAVwvDI9LN8PcN2m+Vm57VNTywQGewlrFrQLDyCHl4kMEgjU238Mpz5dV\n+ZDZwCHnjZYA41JQdzYo5+za4rpK2sjIBG+WeMy8RwtckDvE8Kp7sI6GxQBGDOp2gKwLsINpGRBZ\nWTdZGsZmqAXApzGYvKjRuO++Z9+vwR+cAhYj3mAnGVJTzs2oCiPqIepJrdIBm3u578Agau6TxHEO\nAm5ArIhx7wYdLvNtqGUVJExVqm1Flg+/8BKTwBgThGxGMXk3xAQHxp8vSulPV3YpxEtj3smE+GIA\n3jJWfG4KIx8f4wh8VRjEwAsC05DC8SgCS+GaUshi3NW4Gw0DKFfcqhR6nQMjBVkJD1QlWsdogiJW\nZcmL/i7lCMi9BgYE8pU8HPJqcyHO3D9dWbEqlPoOD+XCtTJfJoQsZn6mWrYVtS0Pn7P/aD6VCQdh\nPi8UMzGeMSLG5ZOD1kQVXc5nHc1H+KnKr6tTcrQvvU+qw8k3xW09bokrS3wz58VhDAgZI4QsqgEr\nF4DFiNAyhMwKj02MeqYQaC9vW/hj6sNlrE+ASVCa81ipU54JwPl2C/MQKV86Lq1MZ+cbolyDuibL\n389neYxKp5PApKZqJL5QsWEQeukS0L3X5xNS7qGI91bxovV0IkpY2gHYwdo2UhBSNTRA9gBLDHIZ\nLCVSFImF5kRWMIDxXq2C8lV1jBCJIkgWGago25WiWgaLuMV5GQU9MtYQ7Q8zlknRySj8sfK6iqJt\ntTJ1RTSSRpFkLAq47GmDvYeat5cQQJ1t8p+TcvC6p4oSL7mxHanBJbKskdxFKsmU7JV2Q0DLCM1N\nWYJNZ0FdHwlTio4izsRAyw623YJKkrlRjH3RGNNXwS0YbsvflyPaSvjDVsBqvqchrqltcwE2nHL7\ng6wLk4AygzxfQDWW6hBH9kIDlbi/KGdFoQJUzsHioICxS2F8Ym2w9vqFGgR1cF4ggTQEkfNN34+T\nImudjlW9ZmopjH8vMOkSo96eGIVR1oV1VJFlWZDouwEMQdijCrxlo4davvKBKePKQv8h5jpWoqO2\nghoT02HP3/6dRrRMBCn/7j9rsq+Nk9WRj4H0fvbFNCg/dDwU/wgx3F6xC4sXgCMfg24LHgVVQlXI\nLVSgi7BYCv4k+xv2/vKYJvWs/Tv1VtZ+luA65avGaBCj0Kpa6KH0r3kOhDiin3Um/PXsvfwhohYA\nXIrEJGhbgmV/GDNy2osFI8fsC3b48Tp/vleUIxTGS3EhGwcyCUw+nEKYpT5/zKeLebjbBzF/Wwga\nqls7o/Q1Ks8cCRUWucBXypcCYNZjNEygF6DXO+V3YBm/SQDqgIwNdKT0YAleOct5mIQ9OtjWEjgH\ndJ03BEDCFZF1vVRpZU9nIAVgC/mQVOC3hVA2b6xQ5UsLK6nBNy+Ag8rzIAdOKfLrw7uriCAaF4P2\n6kmg/Az6XW+nA2SgkvJV/ntcKC8Bcv6ofxsiJIaRGIJ1He/96uTjISOKGFk4l/OkPJO81Jd3BgTF\nCYTE6/ZtOFHuurO+TcoPsgfEA5Z1AE5AnMEaMYklPi2BnHjNNCQyTFv8byEU3ORpH1HEWT/MWwG7\n55578O///u947nOfi3vvvRdPecpT8I53vGO+zRZQpVAtlKI0rBcCGG9TqLQuzBNVAk/v4Cj8n1W4\n9Jdw+dJy+5HAQKTeimhxqZDLDgQXlDCK4tbD2SOAjytP5eA+P4hYgC1OiwrB0TdeCat6V0GwLj3R\nOFM9yU2/30bdr59hlKuyoFLdEE3sYcpjiZ8t4rcS1+/j/cmHDTI7GPK2Vyq2IaEEqllHSlg5d5G0\nwpDkFKq3tVgC3NO1V5KCFyxUUWIUDpEseFJJ6LhmNpnFE8YcFzqQcWqYLIDgRelZncqsS3O6PbBQ\n/Q6rhMXvahwUNkFtK1Ls4z7qUN13PmKtMEgRz1TaJPahNER+iYnZSKyxIjQyvFeWAeciI5cq/+zQ\ntm2wP22J/BEN8RHJwbvMkXePimHA7FW+EBAbF1BwaW6d1qp35dxaP3Hx/vBkgNLSsLSyKAr/BPut\nkm+o4teYtwZ68AUGqlDkyw7kj80g00aILzE+54Yzr4z5QEWOPFc2AXXnoAfUAgC1lkJNDIAPh0zn\nRAEDYJIlIfcMYFhjkJgEevyIorIwCHnfMOf55HI0Q1FS0bVQW1ykBrVKWA2nqHo/Vb+Vvxt2WOPw\nwH57sHwRzVWFp2uYdvvJpxRdWw7VK3vR8iIZUsDIkvd+deUgZjBLKXr/H4woS4Y4XK9hrvJ3COAO\nRYe0YIb1gqkFgzqzQNYJPJBNAgnUFoMCZV1QZ6vQdzKFVrIEBKBlCSbriHJGRo6/QS6zl3ab6gka\nIvwQmIAC9uijj2Lt2rU4+OCDAQBr167FQQcdhOc85zkjt9VPSF1MTIKB1y3aOHxukghzF22ecZiJ\nlxoiTZ5Q3IDzQcWsyEVNiPXCE3fY6oG4MEI4QDQSMnU+Q75NwSrgxOIKn9NABHCaix7BpFCjhKH0\nrvoQ/pOBtuaDedNlJFT1U+bid1bbDOdKUzlMIT6LTcvUcskaJFb43j6KG6JeXPQEyN/5uXPMeYlu\nIA9xUEECBBSOW1CPrQqcPvQmLxmbgaHeO/GA5TkUxaFpCE5c6atnlnVzL4dRjuGdHZWGh1GCyhhW\ncRkV5f4nvx7rW6xSdvvPRcmAU6GQGCAQnXoYMnilzAsLSoOh+pe/xQBCA875tjvF0XshJD6kPKZv\nQPrQOVUFD34cQcgI+Rd5CKxclIfVxMKocvUquh4Gg3jHQmIcWg8YImKiPBVV8soo/fYT3vMvigpY\nT9uVIXw+X9vfYyDhg8HT0AJg2qK8EMEmbfFeGVsYAUP4t5xk3xEjmkulP9dByyRgEFpWvRnbRKAm\nA0qWeI8tACelwckQbPQUameL+Y3+LnsMhWy0guzgFbQsWlfzwbByZ1U348isdcb3UWl2oBJWQu8e\nmqOqmqX2Uf5LPxHlEUvldV/wonL+DvVucl2fxw3AtoBkCpxMA0nb/54iIYO2Z0AMRssSWoSgGBG1\ng7irBbgALcrhpJiL0osvlAWI7EjdWVDnCa+AtUHJNJLWUpAFrBbZchlgUPC0VhagiWRdBgppOQvu\nAdt3330Ln5kZS5YsmW+ztci17vBeJ9ouUBQwgXpLwLgWjoUNPxSuVhCCgSg2N16meShNOXxGrzQA\n2IezGCIYzvKcGW89kx0/AVzqN/rSYvXzGSt2eXiXD5HwVgwDF+Jy/Y8FYSEmahHUTelFTHbrXyxh\noq6fMlNdTOFmWCWsB8r0VOA0FsQq/HnBEJK7JZbW6p59mY2edS6MkAvhJwZ5CEI5JLByuZEvb29M\nsIzpXFvy6e0+jJbVaka9BpRA06VQhDiXTauL9pTqmKcSVp77cTbwxcSCKV9qYCrzndIldf1WCxx1\nV8cFgPJDkcXvJe8ytsYqveQhixQqFAbCZwfKolXgra7kh0ChX1922fPilsmLIanArX0Qok6ZvVCQ\nFtov01/8tGrEGBeLrYQtNi3363O+z15nAFGjVf5FzDvynaKg0BiCyeZA3W2RRT+B8dXgMgaMbeVt\nqTfVKzYZgLZJQMZnGjoHohSUdtBut2ENI4GDmd0iwiwz2LYD7Xd92GHqouMVIkMdgFzuiD3D7JCY\nBBnnAn6wpkF4soOE5LoJWLTjOSu3Nqj1OsWnqq1BQw3y7YA+6/oI9/aJeOHSv6oj9XV6lwwBIAn5\n158k5E7HU97TcoWETBL4EhMBti17cTIVlC/4ypsA0G5NA1ZM/i0CKJ0DZR1w0i7U5qrkVeSrYhsW\nL69JRKLoSl4YzW4Gtm6GWbIMPLUM5DqwplUsTGOF7lXWUNkiVvgKXYaZrYufKWKiOWDf+ta38PKX\nvxx77bXX2G2MQnzjeJP6tV9WwvqNY5xFuTibUnUvrGFb4TLvY4qFSco39LiFINhyCqSd3KoK5ERO\n5BeXF7JL1tXC4jYWDOutGMZXy2GJuY0q01QVjKiqS9MjXBU2pvlvzZN4b8OMYjHoY5j2iyp6fyVM\nw0CC0lNSjvOQKfKKGIcWY0ZeWC9EcCz0GU6oR27xB3qNL2qNE4XIe2grlRsdqAEbgwx6cKNYXVvG\nH/hNthDuFc4zgTBeLVrj0xlKu2CejxS30cu050ebo969YArQdkRB4PAY1oBWvl7/DjRGvcp/4T6l\n5RK/0jakXR9uy7lS0/JRBGLEMhISyHmepFa0i6uCynOakHCeeEWMmOVohehW8a4VQ71yiyxDToBO\n8gCG/PH9uMev/jUI8fOMgkH79rzRJwRtYn3UIY7aKO15ZT6s/+ZngVmAKec5KNK9DQKn5NqwTUBu\nStQXr9xkTL6aZvGtpMwgELpMaCdt8XD5cDJK56T4kTGg7hyos0XK1QM+rCyDJQmpLYTNssvTD6wv\ncIQiDQbaZ4fEyxfx3hCOIfHkPMk9c9i2gnExkpeGoZFylctcscz3q/nSWi5zFVsq01Dht7IMVWqr\n3I7u3QAKCkuZB8Z5qOEWNb6bRNo3Vo6JISvKV3cWlM6KogOg3V6OlAFDLGGDLgNnKWBzucPoOAA4\nH71CoaiHgZ4dRp52qbMV2PI43NbNMMYAS9Oc32q6gtGiNL05tjo3le9KXbtDYGIK2PXXX4/rr78e\np5xyyqSaHApK0JMKWe8rcE6ofZT6mE+7Ped29XENcrSxlq8oM4bYyquEiywtHkDrHGCi+OKwIXCt\n8CLCbZIzMEDazLoSBhEXQADyxdujVA3xliaYxzAf5WiUUcTXxpYqKl0zzljmO/7B90fvDAD5jdOz\ns6jCnG8typmKBQ2N60+ZkTkuPL8qYSEvB3lyr1aVqyw0o+vCC1oOBl3H6DiHro9hadk8Rh1+3LEw\nE9r3z1acDy48uyqfxZL7QCH8kKjwjueL7dHGsLQxibENovsCT6XB666g3JQFkEh5ru+T82qtFcq+\nGiHgyc6CYAzQIpIogmC8cqDURblfNupChDNdJxroIsaGyBDm+5OCC8ozvZcXDsTKuwFGb+i2zJc8\nfV6ptigYzheTEiwXGj3C6RhtjMajh78y3t5z45DJBflAbz4ENpsTgTOdC2H7eUgY5UcmwBuw2MHC\nSI4YSwEuOKCtwiwg4V1ZbohFlpf51uM5yKVIzBQSk5+tRMyinLlUbAA+jAxAOOJDNgCXywJkxDMS\nomB8ZIKyWSywcjxP9FN2ckR7xzzWWqyMxrlKobs4R7msBKJ3HgdR5TD8lQDAZQhn1YX8fQNO2iDn\nz4QLtJV6BUmUfTIJuDUNS4nQhJ4TZyzIl9+QCCqhK4QCcJJ/Tj7vkH0hDeIseNhcZxZIuxUD9yk1\n5M80q3heiv/qcTZ4Wi0bwSowEQXsu9/9Ln784x/jlFNOwQMPPIBNmzZhv/3263vP2rVre76bmZnB\n+vXrR/KCAfVydh0BDWp/Ugu66sVNuo9KxFa0mkUZLqXcAxHkZ8QCszLOLPcqKKMonc8UYpv9Cykr\nmWotyrioOFofWy59lO7zZ0iF56Ho3KjKZ5dOPnP22fiP//iP6msG4NAK2jxhZgYnrF8/cltV73nY\nDT6ei1HXxKA+x0EVg9YxynEH0VXsY7BNEnK9CkqYf4flcXmRT6q9ZSzeKcDnHkofuScqDxsk5Pku\nxUHHDFRGyxCv12zG2JY6pBkjsZ6Re3rnElMJRgi/BmILYLgi6l/nRM+3MwDUenz2Of+Bc879bP1E\n98G4tFk1z/PlQcPeP0nBeSEMIVV0raGx8rcq3eUr+8+AjtMh96DmoX1R5IDLAEoHtKLZiOr5kA9c\nOBg3qnwIynN6tOLsgMRw5c//cc7ZOHeCvFP39RiVgmn092IqWwu1Fw/1PMFaXq3oxuOj6HMhi5r1\nHKT822AwSjte4fGGAr9nkxfGC75OzY0l4a0p9EgCHw5OItSCM1CW5qkC3lOWF1AwQJai3Z4GWzlm\nRvi3k1w0lwrtZylsq92Tw6VVksmJ4ExZKh4SED5zzjkT3deraHMYDGPgGdjGfG6uoJl4GntylULx\nKT2na+GKQBVDZctmSm+YJy3QlSCc0+myUJkw0EgYm9JEVxR+MiCXomXaQi9KVwlA1nvWvBIFsoAx\nXvbwnjfbArWnZbDTS0XJN5E6RAQYmSPN741E2x4wGZw9hsw5bwXsjjvuwLvf/W7su+++WLduHWZn\nZ3HMMccMVMCqTiUfFqNYQhcKowgCC8nk6/qKBXdF1Xlm+iEY55H/l18jJtxwgCKAvLCACW3H/5aa\nl82A1QqSCzWFwgSAXzA92TK9LdZZirxyuH79esycIIxVn1lPJR+Eq2toc6HoqjDXFeGX5f5HpaVx\nxl1Fs4P65+Dd0i9cKDtfGSpcw83E88BIWRQwUdcY7L1foYx8fEPlU1J+gDLU+ybCRMYOs12HbanL\n70x8yITrSmgsJeFhSTWukuIfC7+E2OplQo4Ci9Qc5mT9zNuw/oSZEILBDGzctBGHjUmbi0KXKPKV\nSfOzOn5aRYdV45jEHOi7UGrSEsgAqsPylFdF4TWxGByfcwfKN3LnDVBdll7bxiAxBsjq1BIdQ3S4\nKVBIDlePh5ob4rzGRIXiaNwqoJR7IQAnrl+Pd5xwAtSLBgC/23RvpdG0DKXPYY1M88Uk2o1pbKHW\nUr28EPGuyANSCOsutaONxWFw8gxytSrq4YBu9YaSzXO22UkEYNyu9w4AgLXTIOKQWysX+XBA9uFa\nPqKAicA2AVvvqdLDwbNZTGl1T3aA98KpJ4bZAdD9IcqZcb46qEs9nRPAksMzc4Ls68FIwoz77t2E\nVx82mDbnI3POB+MYjer23x5617ns21ik5EdjygunVfdfhSqjAgWvKgcazhU/EhqJ5D0djtXIlNLz\nSEi2y5V5ryxSlvpKm1LohbMUxra90tYVD2+WAtYfdRONmslIwRYQTDIFtJfC7rACnHXA7eXg1pKc\nHyqNZv7II1XMdGxxTQI/jwACbQanBWfYuHEjDj38NTWzOQEF7LnPfS5uuumm+TbTg34E5UX/se7d\nXlhMwaXf56pDDXUxVjqW4nhWX/VI+9W2y3HYZaFNlC/PUMnAmjZceeRG/BtByfMbR+yJKHjYNNyi\nPFYgMIHy3MyXLkZlpCO/63jy+4Qj1I1h0nRfJ5jE3/dEvAaBNH8XovyYAp2UaRLIw2C1jLdzKp54\n8UIFzIqY8x5QXqI+LiFu/chTJ8pdJ5Pf9ABcw2KlldAXwFDMInPjgArooRIjNISHwoj19/xuL0iz\nV/qUTufBFAbxyYXAsO0ORY9DxI/XKWHlz/OZiyDQocjPwvEZvgEVbgPNGivv3HsPjDcwxe2EkD5/\nWcpCd6mTNBhLxufL+HGolVbDc5VPx4YHBorer3xtMOW5jQZax6gkMFjh5eWCMrnQrwIVB146LCah\nfI0jtD6ZUCfYDotKA1PE6wykQAYQV6ykoKARUDhugG1LwrCighvkUlgN/dIol0wUMDYpLFnE53dq\nW+F6+HPkbBvcmgKMb9ul8nvaEWXKJlFYocyMGA1kr7BkJP8c8Pljrvhf3fyQhPOOWqlzoVAnA5U/\n99B1ZMSpuz/eN+XZe4W1gWumgo6GVb5EQS8WCoqvV88ogDzUVcep1YUjGUAVa4rlOG3f515JaKIU\n4CCWsvFI5yTX0Nge+uhrvA/GKga3lwIAnBMvLreXSgVG74ULoY5E4n0NHVRH2JRltTzKx6JWPvH4\ngz6IuQ7jMu9RlaQ6e2W5vWH6GHfT6ikAMC4qlBZRdPNF66ITGHSzBnIdjaPvELehiyc6VTyh6EwG\norAxhLAcZrBLUWYYhSGj3G+JIS3iLj7ovZevfbIKF8MqrfH35fzBHiUMKAoGEWIBsMpLZrziFcp6\n+9DGvJ9YgKfwt+YJZCHHwZ8VQgTnOIQHdh17z4EcrIzMn2XjaU5yeJN804uUr1BanH2OgyFflley\nczS/Aug1UpQxilIzDu1MiuYmJev0CBJEfcdYKxSUfh9mHVby5QrlS9sTxT8iM3+tKt9WcwuCdT8B\nMyONaCPx3tsMovx3Mi2fTTCWg5dClaMMBqmPzbKGZKP2xQ20kp2LjAuShJ7neKXO50+S0KIBvDDD\nPuynmFwe8/NRksgHze2TRDYeCKXHSayTHmG5ok3Zrup7KtoklInknlZGxTmYcb5g8DiIggTjPQp6\n1pc3ApEvGx88ZboW2cFSIvULlO8qjPdeBeVrWjwItiXtpICe7xRyuXR8JMWPQBbqiTNIQ75woViM\nzl70kPH70Zza6hIJC4N+9Fy1b1ZdX9nGAEE9fu4e5b6US92zjxKpllTX++C9qawMlwyqcnxQcfXo\nKwwVuCOiLrxRDZmO27YJkLTBiRjrrT6nKyrmDF/8LWnLd/565pJyw9IKsxwMnrSm4dgBLgO3pkT+\nVHr1heAYZcXYR+IwoxAE7Gm3Vw6ige/1j1IBA0ZnpOXFM8zGMWizGSRQDPN7HQqKUpXCj1wxiRPJ\nVXiMT52PqaagfJVWs4s+hqRasHg3SuOtnXsVUow/vJEBjdUNAkF58URjCm1U9pPPiv41jnchFnLH\nESBGvWfcPhZq2xmn7VwHUiavvoLB7VbNtShd8qrlfDi/4bro8GRrIiZHhZuZ5TSvVIt4sN8kSpNt\nwi2atO5CmAyMBYcQnjzRVuVTxwhFQqCbhD4lV8mxXjkMgoXLN6cJY1j+1Y9nLZrwPKYLcBz6D3xw\ngEIM5EpJHAqmW6+ecZQx4IjQ9pZ/gAECMgd0IveUHCTrYBAdz0BA4gVcOPH2c9JGSi10fP4jALQY\nICv0FefExhmU8RlJDnnuYeHZ1RqdtJHBhNyb2GimFFoU2hYfw7zbcfnsMO99XN7aM+d9xtGjQZV4\nQT8lTY2LxTngXiFZC1iEcFJ/h3M584v7iYRGqaJIgT7z4kEGsC2wMeBkShSwZEoUN9W1ep/WK18k\nfDV+VuWxiBQ9f6xNXkAp58OFKfNC9GJgWOWr/H3dfcPKmfUDihSEKBSxXB1clnF0bUQHw6yF3MLu\nJaPQVvmoI0/PPaG0Ep6vx7HEodmh3FCsVCl9JdNgO4XUseRjRYc0I2kDNoHGBFjbBsBwlPi0BcDq\n8QmcgdihZQkZR0XybeIVval8LWpoLcvi4hC+TV5U1vUVT3BuGNH3Mux73W4K2GKw9SqGW9dvmelW\nLY6hmXIUHjVIyZoP+s5hZBkqh3/19K9eg5KiVpVbE4QSuBAuQGRCuVi5KK8A5yBhOmDxIoRDbwvj\nl8LhuUVZR1Bi44RcOI4EYqBcYW9yiIXRgU33SYwdRTmXCxZGMB8Epft+46s8jDAGqfI13MuI+8rV\nZy8AGKn41jIaolJ8/4joLl7vDLkspql4vHoYbmJN8cwjo8y2R7QpfebCWWQEhuOigkelZjjMTdzQ\n/CpfLQSqXmv5+Ycytkx4LMP0U6dUxihXNiwr/hR9X87DCcq3964CgBzWicBvGUDXifIPKG1R4JVC\nz9LXlCWYrAtAPFPOTmEuA2ZTh8x5yrLeAKEDcA6wCPmN/tS6wiTIeXjq3fUwInA4SpA6Dp4xh5ow\nrsizPM47HmWPH0ceGCTADrvXz6efkfaHyva8wlPrDSvvIPl1BoDz9FkIzY7zZ2xbhEg1fILz0MS4\nfzDYl+rWqnSac0iIlBz1qAGS99WahrNTBS+FXOfbNV7EVoHWxgfec17cCyIbMEnlOlUaOFII61IL\nFpYDLSwGKmE1ofaBKgYoYcXCaMU80PEH3btnZayRABzaLkQgxd4v77VnIA9D9Ao2+dA/4XstpCyG\nrIwJdmo5nMuArCNKf1w0w1ifV5vzXSIjxyf4iBnDklNIWZrLETZvQ9i0r8oIT7ueX+pjGM1vLIcj\n+j4KsxrkoHpsVw/YfCxNo/YzDkYdW76Y/JPVMozxxlD5HGUlKTDz3GKhFY9iq1PZTc2l73tO+gZg\njXq6nFSq0SpIkQDMgBC1nQYguTxdR7CmBesZqwMBHAk33tqqwo9RxqyxxDqP5bjwgpUlV8Kq5ooq\nvhsFw70/f1UF0xy0iYd5iK6q6zMWEEehq1GF2UEGiNqiLkDPs/TrI54b/ZwrRSQ5LCSlu8MZdN4S\nyzXKS4g19w2G/Aifc2CJkFhCwuy9axKqlVdlor596OG6gTGH8XL0WYTgeCbY2GAljudoPrQ5LCbJ\nb3SpFLQAACAASURBVAcKDmO22a+fcZS+8j36zqpCpql0n/KjYBzQe8Fw6PUwafiWeMdYjjcgCT8M\ncginaFsv3BKQIJMDcgFwMoXZDNiWOsylzgs14gl2QVDuRVDwos/WP0CL4MPMpIiSMy10Xe5dg68u\nWj7HrzATC+wFmy9fnsToqvaL+P1W9VP+fRQUeL4yqmiei31Fv3H0OwFG900tWuGchPgByEDey2lh\njYUFg7NOwVIfW/cBC7Y28CVSI64/e0licS3kAPsEnEwhowSpk4FZA4TQc4oq3HkZhD0Nq6IXe670\nt8B3OQm0yBHth9CwRUYVjc2Xlw6k24qc8PKeI3QUUWukhJV5X7mK69AGraC8cT4mdpJXykWPVn7W\np/+OUDzXVW9n9kXk87zs2DDA3likedoAw1nCsqU7B4WKyMBo9WPnQKZdMLqmjmFsS4oQ+dBC449M\nCDPBLvdyEXm6Rhgvkw2RX7mMaYq8Mp6TwjOYoJjVYbuHIAbBZIR7FmLz17GUFZ6xGKsy1Qmj57kj\ny0ftHbF1BBBC8zkt8V1xxS8gsopy3gb5qkRSIcYfHBrivLPQBztvdYMQL1gUscxLw3Fir/WLmsjk\nJ6t7Jp4zZYvc9BydQ1Yaf+x6rxOsFgxhEXrlt6yUli+v+DyMgLkoz9Knb0bxmXTeB63J2ueh0nOr\nQMEausChhHeuURnxVFUJpLpR+csN5LKWASxngOsCJkFiLNrGgK2TKonkScwmQGta2vKFEAqFa4Ce\n88EIImSbaL2RESUP5TQ1QISSni+HQ1mtrZvXuvcxDr+twwKwuKExDG8ehR5V4aq6LvaYqeJdPQL5\n0Zh8TYAlTDVzjMTzPwOHtvH8VIseJG102GAuc+imjCykRfRyBrUYW0oA9cIaAplWoHvrPcaGhTcz\nRKhJWbxzWUTTPaWq41mhhfN+TYqXLZQ80K+fSa6fqgNz8w8lHtdzLftzNOMzOuXEQj1H0bHQQ9uQ\nL1ef+TysKOc6oudwXqj3NlCWn5WkRbI4aSOjBHOZGgrEgJWo0mQSMcSSFEtgbT8Ir0KppIYMY+HI\n+j3f5sFtFSFfPblvQ2JcGumneA+DSdKnrm8gTgeJmE2EMj8ry7ZVtFz1HfvGNMg+7HE+pFpyZ6XC\noCqEkpPqRxuH6JWUsMzzGEt+T9dr/H9ZBnQyoeFOxuhkhOkkQdsSEteF6W7Lc7bbDomZCqHhGTNm\nU4Y1hJZpIWHnj0/oBDkBJlf0M4bQXqE8KIlcWrmZ6uYeJqk4P5kDsv7hsdtNAavaAOt+q7t/2A22\n8roaAWiQJWwYVFkbqpS78jj7jaPQduGLCndoYNpyJbkscCy1jklsLHpCE7X9sED1DBEVbP1CYavV\nkxw47YCyTBh1UNamfA5NPs3h0EcCjP4QQiOAcIAdEeCLdGiMr1hKZIQEhHL2dfNTFpr1t4VApV2p\nJnSgjNgSPx+BchAmKaCUN8CquVYMO+cU/WFYhADxNHhmru35ZGOlxfIyzktzi2cLhpAQwXIqZ4V4\nOrZk0bJyUK3zXjDHjAwG1raRiwfFMcb7HBHBQs64SQgwWogBsi4SY0BM1XM1hjWybt7mKyAP4pWL\noWgVeFC0JnovHE9xVThUC2+VyhcX817L1+vGbL0STs4XNggHeud5Yl3HsIlFopTlssCX2bbhTAud\nlL1yxLmHzJCcoSSWLYQCBWkHtmUC/XY0QkwNW5RHEgAAjC/s4VzRYu3/DXkPkfFoe+V/6dhGobv5\nCLmj3LcQa6Fu7AP3A2aAVfmKLO3kj4x3DmnwCLCnSRMpX1YEYM49pnnnTpQvf75SCM0i2fuFz3Jo\n3xEjMUbybgDAmBC6ZYLXv7Q3qmJmrITFcm6cVSXQqLdM6d6jyBuGf4Pj8sth2y6DS//WXVe+HkCe\nU1Vzl9JNkDfHfLDQRsV3QGzU9kpYbJQ3YjjPgHDkio2OXFHDfJ5XqLlgXh5lX6zIWCS2DSQ+tcXT\nmqYKdDxf7GSE1AE7TRm0Olthtj0KZF0pogHATieYshapDxFPGUhTRmYYS2wbZGZBGeUypM4l50W1\njJ/PlpF9XBTN/HqpdKwTpZIyQw2/xCR8N8ptrMN294BVYVhlbFimW3vdkPkX41i9yn2W753PhlG4\nV+Nn437isAKOFgMAcgBTThQaohUvcyLP4LKuMODYYmDbYLsEzrSQ+qo3bduWzUBDaaKxxjzdy8Oe\nYXgBIdo82PrqXJ4ZyyKSsbYNwRg5OLLM1Oq8XbF3ZiGRM8DqnoZhuAPzqsINxSTrYTAqnfWjTWXM\necn44e4L15TuCWdmeEuZKuHEOb3kZzB54VtDAyJBUpVuB/E4aH5LiwCTdUDpbC68s4MxhMRI3hZD\nrIhGk4T9U6owEKovsgMoAXurLRGQkChf5LoRP6GwJq1nymVvc4yB77xqHqO/6/jMsDwm3mznw5f6\ntVuFetFC0ONdjUOr5xnaHfdb1b96vcqRAeTpBMwg/+LkcxbaYk6RGIuWIbAToUTCaBxahkRQJa1G\nCLBJ0HFCt+A8P0wst/KfFKARIVTOWOoCxsDaaXSc8EohbzEmtK3xQrWGddn8TDrka6t4eHMkIJdy\nbEfFfOmoTBsDlZEhrquil7oxTnLPqFqf/YwM5T2hChIREClfcfEKvR+aB8TeEMQ+csAGb2jqCcJ5\nPhf4cdYFpXNy7hI7wLYBasn97HwJ+zYSw5hL5W2njmFtS3gemcIRIK0QmsaRIUGNutZ762SyfAZO\nIeqS6vKKy4m2AzDqex225XGV+IEyYvCyVPdQuGceBpOqO8v7gno6iXxoHUu1QGvyw7QdIAWvdD9X\nI5MPRTHQdBgKhikAyDJGRgbt9tKCMaFtCVOJFM/odIEUDCKHnZhgOltgtj4KpB24pTuBXQqTdkA2\ngSWAbQvbUsasY7hMeJ1tL5UDvllCddm2wF7e7Lq8anFipPgRurO5B9i2xKtrknwvAnLjhP9b9v6O\n3/T7v5MnpQIWY5hNfCyyGzJHpTyWujGM8v2wvw+EZ556hgcAIRCNawWBSM7qoELglCC3nujfFObT\ngOVwu3QO1N0WSsjzFMC0DNsyYDbN4BhYkhCWTy2D0VBE25bqNZlYFawRoSVX9iSsjFzXl6f3Mb3s\nwO0EGTO2pcLYMxbLHVqSg5Z4QheBIt/E9G2GULL5zu3YKFFsHyU/RC1Gd/bFEHEXZW/UIEWqtqt+\n96oyr6F+3N8LVm63+gcvWKuq4j2cQVAMQiLE+hrRqrarZeW7Tu5pG/LneuVMlH0lJWG0BGuEFq0P\ncxRFjoPCJMIABxplQqH0fEIAZXNyXggZf+iSH5U/9w4mEa9ezaP3E7Sq5q9yo/Z/j2MsWghUKTfD\n8kmqI86SkWNQe7X069tXvtcTquPfVbzc1Aig15qSdzTktgTFW7xXmRdyO6747oy1IJb1k3pBFSC0\nfFJPQpL7KKGE2qnf/NM5EKfgzAJWwszmUqF7azzdE8NaCuc8SWlmDs9v/PjEe1emqkmp4KOjbhTD\nKNuj/j7Jp6wl2apxDLE/xQYARXwWnVb/C2cWAQjVBb1xwpLwNz0b3kHywoxJkHmjwJyXnFtWQhQT\nQ7AuBXVn5b90DiGfC0A4z8tlMGYWS6Z2BLPDXCb0RwS0jPXeMfW2Mph92zoBzp/zacVb51iMWhZA\nQgyjBi0jBzALu66S2ah2f+2HqncwrCGs/K4XQokvGJ/6KFYxv58YPZeVCxTpUM8s1PBpJEDLtNHx\nFYE5hOUFq1DRMOkkD5FsG44oOpID6Bg5OL5tCJYzJHBY3pJIqtk08/QqtESdbXBbHwf5ojFiJCDQ\n3FaYdBvYtrF0yc4Svuh8YaRWgmRqmezXRgrKZGSQZg6ZQ0EBI5eK7JDOQasvctJGoIDIGM4w3phB\nsGRhbVuUsAFK8ZNeAQMmI1RMlEAniDrGPcxmEirgOBcWjZYpDhY2rdpijC917BNoOZ+TMC+E4DkQ\nJptKsY3uNlDW8RWKJKa7kxK2dIVomQ1aUwmmp5YBLoVrLcU2n0wOAFMAWom34hIQzovwjFwteMyS\nLJnBYi512OYVsLYhtK33eJAVYRsUrHfM/pwdL1AF59+YBDMOnYT3AS9p1b3BSHkB9Y6xTpEZRZEa\nVhmqFA5Kf/dcE4cqRR6rWAkbZf4cl2LYvXcjCMFAXl0r5HeZkMMih3wzGAZdB2zzYVwtL0wIDXsl\n3+d0MQwyiB/Lestvy5A3UhA6nL8XazhXsJJ2UPIASIhhNgfqzsnFSVSyNj4XCgDT4rLaUWm4bO3c\n3ryydt8aIGwNeo6y0alunVB0MVHOWwi5N1MVmoylIWv9WTQkSlPLeC++U88s4LSgmx+E0pkhoGV8\nyC358t+GgkEgZcBALMTGGDnk1ofbasn7zKlhQAuBSBuhP8CHzeqxDhQVks4FWRV2YyF1HFY6DB31\na3eY+/v9PnRUwTwRGxsGPU+t8lUh9Gr+ltKrhndJJUMJ+Q+GpTh8nx2IO2ibBJYInchoxBBlvOMY\n2zLGbFdyuBJDWNYyWNryCpg3vJLLitXmsi6os1WMsgBcOocly3YNVT+ZgdQnc2cuF6wzBtoApo0o\n/CFfLRJiifyxDKkof4A3mLWXwqG3sIQhSJXEMbjVfGRJDOhxvm0r3VbRbznypMrQFX+uG0vd9z3t\n+DyvzBslldclKnsyS5RUW2gtVX3L3wsAbCzYtKTtrCPvNuuCbBvt6R2QOmAu81WFM9mLM0tYbgEz\ntwVEhOXtHbAtzfMNLadAdyuQdoGn7AS3fFfMtXaQvXx2M+yWh8He+Lp8x5XY3JWw7sxJyXr2aQYp\n5+tMvcUSFaAKWCcYV9kkcGR9fQQjvzufT2kTOAcpzkQQHq0l8/vgSauAlQks/ntcAu/H0IexaNRh\nGOscEClFpQ4GCcLDwd9R0Mq9gGskbErLwjqvrbMXLuIS3TZqkdRSlXXBs1tBxoKSaRA7ODYhOXI2\nc1jiCO1kGgxga8rY3Mkwm7IUxmgZKSdu1NoqkxFYp8vCQaacTYGSKWHkujCMWogRXNedzKHrH9US\nfGiQb9cnjs8nhWHYdxpD6Ivqb461rQrP2CQEX+162OIY5Y2/5+eK9kNst95j22PNl0JL2OZhUASH\nvJysVaEC8N4vhCpKCfxYTBupk6Tb1HHgbHHJ2LiqYZZJfoTxuQsm64iSZhMAreB5NQAo9WXCKcFc\nJlWZLPkDdH2OhFRS8vOhVZk0d4Jc/0rTE8Akaafcbr/rB11ThypeGI9/Pjy+7vs4/A7oNRaEPScy\n4OjJAiEcyguyesC3Iss0b8sGHkrqxWLhey0jITUto8UxAMlHFKWdDILAKp5WCYPtZGK9ZZb7lyTT\nmJoSASLzggMYudeDqg0h+hyieFKonijPmReu0cmIn28BSXcghhUWY8RjH1URm9Sz1u3r5bVKXJh5\nT2P5YfFqbLIkx6wkhFDVDXF1Qs1RyVIRcNmBbAu2vRwdH5at+WCpc9jWdfj9bIqtXYdpa5AuSZAY\nMZhS1hEljF2eK8MiC5i5J4DHHwSnHdiddgUnU7BmmXjBwLBOaCtWwMTQBjhjYJm9gUpkErJ5KKx1\nKaizDZRu87OxFMxO8sF1/XraXegUg1H56UKNoyeqZQQj56j7sshN5CsSFuUC5z1cBvAKmBRgY5aq\n2NZO+3xqkmJXLvOKSwtdlnfcYucV+FmwbYGI0G7v4Ats+JytjEEwQGK88b+LFhksbS1B5hyWJCQ0\nOLcN1J6GW74bfk/L8PsnUixvG+xhErhHH4R74jHY3ebEE7Z013AuY9c7ADREtqzQWuNzIvVAZmPA\nyTRcawm2pmK4XZIYtHwoOLEFWaVRWd0ZvJI64EU9Kc8B49LfdVbMQe1XysAV7Q1LoP2UtPkIoBMH\nuzDAMCZfPMPBhDLEDD0IVC4uPJOG1Fhv1c8ycNoFTXckAdy0wlG7KrZnEHfy5o7D77eleLyTwRKw\ny9KWWFzbFm0KXNTnQKRSEKTbBcGB0jm02suQGI039l4KQ8H6k3lrW8fz8MQAgIMhEw48VWE9PE75\n+YbAWO9UvTmVnUVKsm6WNX1U3j4gKbeM4ZSwolKoYYWDoEn77BNVtTSwbrSFHiIGF/JzuZgXxURR\nHh0hc87nzYiS1LaJ5NOQRTdjpMxo+/dOaQfcbqGbMeYyCXtps7fuO59YQLFpIacfAEgMiwEg64KN\nQQagmzGcAZZYUf7YWKQgbO06dDKHJS2pchi8a2qB9uHAlHVEODIWMHKEQt15fNsDlYo1cnocRvEa\n1P4wPH6Qx3eUuapTIKvGUcg9DPf7FkIRipxvqAKnIYX5AdzF58gg3ldNRJd8LKky17aENjJQZ9Zv\n7InwV9sOCk/mk81V2MwYmEsdZr2xq2UI3bbBspbkeKUsRq62X3SFUDI/fs1jC9UcqWikcaAg6FdN\nmMFoYbL5fA53Tb+mt8daGUtoHeKauJqm9qMVLcvCrlzPwQiZAYBEnAKQam7E3otENuzvWqDFzG0O\nxQnYZWhP7yQhYqxHJADbug73b+7g4W0dTCcWXTeFJck0lk8luQEpLvLFLIpZZwvSh+8Fz26FTbsw\nS3dGa9lyOPYRMV7uLBY1AApFjdjnMvpcosRHCFDmo27SDgACJxKTEwwNkPwi9RSPQ5c694PkOWA8\n+qtS+IdpLx5T1diC8ROoNJbOd4yKQM8aVUUOhvJA5YwBNibkpxEcOEtB1qFljBwXk87J/teS/NbZ\njGGJkZgkSgvogJM2kvZSz698OCIQwhnJpeJtnUuwfPkyAMDylgE98nvw3FbQjiswt3xP/Py+Lbjn\nsVnsvesy7P6UJeC5WWS/fwBkLMzyXZBM7wA20/7ZpW3njRIEoVFjAMd5OgIA771L4KaWY3OXsS11\ncoSNYbT8+NivEaNVvwtz2Z8zPGk9YIMwH2vvMAyz6p6qz6Ms1No6DSVBYJjKeRSbZY0R32pBmCj+\nq6FbXceYzXLG3jIAEoCMVHSLBRBO2uBsGpxMA+1pSfz2VrD2FGE6EW/UVGLkrBvOLWsPbe3gkW1p\nIOS2IUwnRgQF1w0CKyc+bMeHiolbt4u2tZhKhFGI1ZiCoscs4TbBQwZRIjPHooyVy55Cv5vMdl71\nzntitisVJYo2My31MCIjraCNmHGXaWxoT1hFe/Fz5h4LLVEs80kOYNO/mE2lguk7yaKdwNfPEibv\nw6qYVQEzsKaFjkOh9LGEfMqcZp4uAPkt8Z6z/OBvFjqD0M1cKiXoW4awJElA6IBNC3Mdh61dh7Y1\nyBLJmZCEXoetqYNjxhII85WStpL3KIOXzUcrgpbPECvnKM5nox8XlSwIRZ4xtFFgBBToFMPRZL/f\nh22jLNQE5atH8PV/l7zTKjw7r3wp39G2FLlC43MHiZAY2WRbBjDZHGhui9CNP3uGySBzkiM2l0ou\nTebyYzoyljCxzZ0MjhlTiYHxwup0ImsxMaLcWfW4RflqDBlPGq0nawB4w5tWC9O1E89RmGOi6n1r\niHmfhBI2cr8VjVWNo4pDl6/vN65R8l6rDC8EjhScaO/WkG7fh3qRjOYH+Pyv4Nk3VvZRspJfk86K\nh6CzDZwkcMaAWlMwZkoqzjF8RTmHx+a6uG/zXDBw7rK09f+5e7Nfy5LrzO+3ImIPZ7pD3syszCpW\nscjipLGblNmDbXSjIbTcbqndD0YD9kMbsGxTJGD/L3oxSMkN+8FvhgxDDxRs2AYsGFK3ydZMiiVS\nIllVzMqqyuHmHc60hwg/rIh99jn3nDtkZYlUB1CVmefsHRFn7xURa/jWtzgqM6wx9Ot0wWrN+PmU\n9vSYMD9H8hJTzbGTJK86aenJjEaG+9ZIz1kVdE/uqL9jbpiE0LE1Es92H6LRKh0heoz0Xk961oya\nDaFbm961etsxxhVT2SnrG05Ztl23iaCBaxlim2NeZrR2Mi2Gjlgo6I6mRrXOrMVgrFOdkJUxLWJi\n/qBGMENW0PiV4TIoXFewOeCjvteQ24Kq9VgJEZ2luqWDaPTPcfWU/WyAnT1Bzh7hlwvIx7x3XvOv\n3zrmB4+mAHz28BbDwYhWDCHWk8V7XOLOYMXCCKvocj+qatLztTnBFcy9MK08i9aTR7iuYg5biE5o\nEYusCZm58v38WGnoX7jSkQyZD+EduGyj3jrkNfrrX3MtGMQV7IwX2YG2D2w2JtdC9PxrdCEECNZ0\nh/Ya1XHKFcsHeN90XosQFc3MCIU1BIGhMxQmeZB1cz+vWk6WNUaEYWY5GmYq9JHYozO+bLZSUuNm\nK21DbjNK72mDkFlVZPrGhQ9p/9bF6iMkTb+Mlc5T9G7NCLtZu0w52FQo17+MULRNHOSGhSQCsuVw\nvqpdPMxXn3ce+/j3bVCNnWIY332fPjUZsiubMnpbNw7oC/2k+3ofpwhZ3Mc7mA1oThXRq5sK2er1\nkaFINMdrWq/IWYbuovx3CikxZyyLHt3I6iXGAQWzWjdUK8Ikc1hXUAXDeaXR22EGw0xwsebNfNmy\nbHxH2pGS1LvE95QY39ZqmG0aX1zc9/rv66+r7RrvOkbYC5uDfHiDDq7fx0XFKL6JtNdtsIv2leaU\nG+ADHVOWKpXrxAielFsVPxNVFg0hGl+zVdHluP81WOaNKijTup9fqOUNEuwnRK9tUmQVCaDR/9zF\ngsupUHkgEs0oVfiyVadb6jsLsQCqSIyMRTrxBDGKMG+Ra55X13n+vb9fZvDsumfr9Tvg09scnZfB\n0S8zxHbe0zuHrvOMPH0nVjQkCNArXdGPvGp+68p407FWKzT9P3nouxwbHxEByxlheoLkJZKP9TxM\nAfqw3ud02VC3gb3ScbpomQ8tmc3VSRA29viodAbfEuqK0ChDcv8R9B0QaT3kEdblA4p8cfmqLEhT\nrXLYiN8bp0Whje3OitQk/mdgFUV7jrZNJjY/uo7xsgkPDGG9nyvFI72MLqf6akPu0u4uGfcy50T6\nyoeUiiL6/sV06IDkGKh9UNp4U3VMh5JkoZqrrigG8hF1UJIgkcDcCVk2JGRLHS/qk1aSQ19g83X6\nVp0KixOoppjzx7SP39U5FyMenlX82+8/5YPjOfcOBpx8/IDR3hH28C7m1l1COSG4olurFtVVg1Ed\n2ZkI6+1sh6ByLgZvM0I2YL5QXaGJe25nwHUEI6v9fk2uflINsI+0dSGi67XLrty1+G5yMF1bmenN\n+yYKUJAUDu55UTpFOikZsgY/qNpOPccZQ24C4BVXLnTsQ0gJpS46qbIIqdJYRWbVa1AYML6ObIvS\nPZ/0iBKkxgqYag6LE51nuYcvJ3iTYYuxfuZbMFr/IRUTzcwq8hLi07Em4AK0YT2HTSN0K+iEstZA\nR47wEbWt4ra5+HoQuzWP5xV9fxSKcHeUbyqfwKrmSv/UM50xl2iGE8Nmv3WK0cYa3LYkA6GjHw6E\nyJIlnQz5CGHxhI5aftl4plWrSd1WCLlbc0JkFgorDJxAaAhZSYXBWnC+wSymer0rmFYtx8uG0lmW\n3jJwBcvac7JseO+84nCQMc4NZZl1Totl6xlmltyCzGOSemI+DEHXT8y/CDFyhsmI6lb3aNKTTYbx\nhzlwX2S7thF2hZNoV9vVZ180rvr+edoFh196EbD+W2RVXy4pzT6sYIHq9KIjbrERmtOGgA30IlC+\nc1qoohgiI2amdZSyIbUoTfK89pzXnrNlS+1VvgpryQyxZg5MCj2qC2sorZBbOpZEJ4KJjLLBaM6F\nx6izLeZFzhtP44OurUzXyOaj6L/7F/HM03Pf9tlN++4bL5f3rm3td3x02/7aTHYZkZ2YpflAx6za\n1eg0644qIcHv1XG61Rg2Vh2YrqBVlVIjBr5Vw8i3a06yVJw2yXDhDOPccTDMOJk3LBrPWdUwb3Im\n2YBgc6RddmsCEYXMugxTDBR2Vo40SpDmHQ1HK6mMAl10FmL6AOBMQe5QZT0ZYS5Xx17qL8G/kq7L\nKlLRRb6CR64odrutPY9I+I33mPrZNMIv0w23S2zv06S37by2P/gVSCku/s6tfW5xlmpKwAoVoMZF\n/C7tF8ZEZ2bc19s6RqtmmsPnSgie1q+cP8s24MtJ9zt9rnJmUDnxQV1ZCcIdIlJAfINZTiEEwrMP\nCLMzZDghZCPen1Y8OVuymNaczCqmdcCPjrAve8LwkHZ8l3mrjlwNFATEGIIXkNAxGXdO+4ROsA6M\nZdlq4CKhawwxbSeWdEj5l2lddXovcuU7+ok2wG68SDYYcW5ixFzVNhWk63i+th1mm/PRl5bcJtf7\nxWuHUfIcGcMmAHUdZpOUWh1V7YAQ8f/x1phMSQgE6yFz1EEQN8ANHeIK/S4fdGw3KZlbmgaMITM5\npRX2y6xbdJNcK5cXVpD5M+TskW5cEaPu3YAmGPJirJjaZER2wryau4+fp009RU+s6UXwOnYapwpx\nZ4Rd8/nu+Pu2dnMZkxcmmH0Y1JrivMULt61daoSl6EDqs5fnpTJrYm2P9U1GoR1R3Q0JAb2KKNje\nQmi9JtzWXnMbcrM6qNUDrGQchlX+X+0D07ql8YFhZqgD5NFLakUV1GFmyA2E4Ji2cFa1OCPcyYcw\nO+48pmdVw/G8Zr9w1CNHaRWDfrJoeDzTSMVLo4zam8hkF8iMKsADqxGwEDy4XPN5UOUnJa4HV6jn\nLeafpShJYEWAA1e/px9neyGiuuHh3/V7LxtnTZm4JtKhv+duOtLshStVw1gV8o7fdA9AFdzk7Mmi\n4YOoHEvsxohEgg2vBZbRHCvrSsTmICbmkWmeYSq83Mb8nMIZhplllBlyC3ULPvhIG28Y5Rr1TVHk\n7ncZh4/KqvbtI9pBS3osogFWOHVE9Uk4Wgnd35OilZZ2/7O/SW1XdGNTDq6jLF9F4rGLDGKbPHeO\nydCyYi/emGfMF10xtKaoa6+USyrH4nJasbQ+rJRWEcRYVSDLkRppVkmKkhFuRRg4wyt7BW0IPMkr\nrDGRfdgTxmMlSfB1b2JK220GY8z4gFAOMYd38cWoI4kBSLXycisMneBCi4SGxhTMGyXPyoxghtbY\nMwAAIABJREFUsxzDXJnxOsiXOq0EOna5pCMJK52j0/T6OWrXbKt9ZFNhutqhdJO98FrGz6771DZY\nv+caOeCXyeDOHMSNluTddU6p1VhJzn1QGKLEskepsLzC75eqx8UcQmtWzvPaB5bBkg8PqSMs2rSQ\nWy0/MMoUkdUm/cU4TYFJpYp8g/cesgIz2qPJB0DFoHCwB7fGhf6G4SHYnGZ4yLOlJwCDhJaJUEkr\nsVSTrzunfTBaFoEIf/UIdfB4EoncqsZiwMS1lYHYjnqhb5RfJZk/sQbYR+V9e1F97+pj66a+RrW6\nUmK7r9Pn3XWXo5r7B4OJnopgHCJtFyFaXblSpAXbhUmtUUUwKRQmzlPaRnO0YvSoDVZRByYjL/cg\neGoMdaT79tHDJcZChGYNM8P9cc5+4fBB83cGTpnmZHlG+/7bhKbGvVQjxQjcIFY6F5zJOgalzeea\nfpY1QoYkfvLo2YvwHO87w1NiRXXVn+LCumbb5dG8UdsWJUiJGbHztNl2h9eWbrYpwf3H05e5dG3C\nM6dDa+cUuzn05hlSaur6yJ0yKqLe12QNX+g0rCnJyfDYHNcTupzELAi1DRTOQgSTOiuYoIUYcyMd\nG1jdprozCp3Ko+JpjVAarUsnoWUZLI9nNe+cLpnkjsGtnL1ME3FbH5jVCin0QYkTJLRYEWrvWbae\nWd1S+ySLes0wE8a51RyL0OoGnI8I2UBlTpaaM2NzfDagxhCicpQeS8q1saycLi9Cwe3L7OZBu9lu\nYlila2+yJnYqOddomxHCC1+mb7fkam29Nl7TJfGveSronAgp2pRaipnbKHtpjBThktDSBMvSqzEl\nAgMRZXmLFzd+VeAzhNVTt0Z/28BFSmOBwmmu6zjX/dJHQ0oVJ10Hk8yQ1VM1/LOSRvJIQR/3Qb9i\nngM64y7tp1Z0LeUGLOooUAdH6CILmUkxaCEQrg2z+0lt26Z+XQjhBSgjN3dI9GVZoKtpuCruns6m\nzqzo3kO/j2Qk60QMwSq9d8pJlECMIDmkHCFZTsgHhHxIK5Y6MgdL9PqrsptROsvD3HJWtRijBZWb\n0GOmTRA/66LcDbFH9xSKuHcHX+4pIzJp7epOkRkh8xWyOAUx2KHmA81qRTsMnCGLrIfBWLqog1W1\nVKO5DoLKJ6znN3ZeveeBD1yyL121d17Wnm+ZbEjVlnywC9eK7NyP+/v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UWU61tIzN8eWE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2wWKWm1hWxAhWZWei5K6fG1cD6mn4W9LktTcDOUl81CKUiMEthk03gaCN7F5rkVVAts7CcW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2W2tPVU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\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0WRtAww6h0zsOS98GQcbZsSeNCWCglHirZQELJb4SoYOEbXHXpuKHu0t620659UJys3AV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\nDRuszfRefENcXRK7Fgc8nK05mS8AA3EFIWdJzulaE88XhaUMDXZ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1fb07AZcj3Zoqy8ms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K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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "vlim = 5e-8\n", + "fig, axes = plt.subplots(2,5,figsize=(11.5,6))\n", + "ext = 0\n", + "if ext==0: vlim = vlim/16\n", + "\n", + "wfe_ind = 3\n", + "psf_ref_coron = psf_ref_coron_all2[wfe_ind]\n", + "for i,ax in enumerate(axes.flat):\n", + " hdu1 = psf_star_coron2[i]\n", + " hdu2 = psf_ref_coron[i]\n", + " \n", + " im = webbpsf.display_psf_difference(hdu1,hdu2,ext,ext, -vlim,vlim, title='', imagecrop=5, \n", + " colorbar=False, cmap='RdBu', ax=ax, return_ax=True)\n", + " if i % 5 > 0: ax.set_yticklabels([])\n", + " if i < 5: ax.set_xticklabels([])\n", + "\n", + "#fig.tight_layout()\n", + "fig.subplots_adjust(wspace=0.05, hspace=0.05, top=0.94, bottom=0.18, left=0, right=1)\n", + "\n", + "cbar_ax = fig.add_axes([0.15, 0.05, 0.7, 0.025])\n", + "fig.colorbar(im.images[0], cax=cbar_ax, orientation = 'horizontal')\n", + "cbar_ax.set_xlabel('PSF Difference')\n", + "cbar_ax.xaxis.set_label_position('top');\n", + "\n", + "fig.suptitle('Residual Speckles ({:.0f}nm WFE)'.format(drift_list[wfe_ind]));" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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uhT/B1jCGHfvZkVYAH9YcY0S/2vYzz5V9zxNl9MhRfMbLaXmehLPWAMc8YfKg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\n1cqO4f1JyaRzHUzM2Bu+hEJfsi+8V6+j4l2iJd9I6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iRP7Djs3ycInzx94pLG7C/fBcBC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l0mEZglyA2c7q/P392+0STHjvguGUWvH19mctlNEhNl1xl6lDF0NzKApplJn51nFDzFTzn0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0fUxHBc/QNCM6Co1EULxb7MRgdWZJV5Hk6oq/ZVqQIJB0P10gvsoghahR7fwDPoAu1uBx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DaxgvyMe36/efZlDqfv6ruhYk90WWgAfSxlmySHYLVbN+/7cZDuVF3S+ZQhKOK86+IMu/jESy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\nw4YNSb9+R5Bct086yrbk+siki1wfqSyplm3JtRfJdWLKIrk+nO4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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#plt.imshow(speckle_spot[2][1].data[50:100,50:100],vmin=1e-10,vmax=1e-8)\n", + "#speckle_spot[2][1].data.max()\n", + "\n", + "hdu = speckle_spot[3]\n", + "ext = 1\n", + "vmin = 1e-12; vmax = 1e-6\n", + "if ext==0: vmin /= 16; vmax /= 16\n", + "#im = webbpsf.display_psf(hdu,ext, imagecrop=5, vmin=vmin,vmax=vmax)\n", + "\n", + "fig, axes = plt.subplots(2,4,figsize=(10,6.2))\n", + "\n", + "for i, ax in enumerate(axes[0]):\n", + " hdu = speckle_bar[i]\n", + " im = webbpsf.display_psf(hdu, ext, vmin=vmin, vmax=vmax, title='', colorbar=False, imagecrop=10,\n", + " ax=ax, return_ax=True)\n", + " ax.set_xticklabels([])\n", + " if i > 0: ax.set_yticklabels([])\n", + " \n", + "for i, ax in enumerate(axes[1]):\n", + " hdu = speckle_spot[i]\n", + " im = webbpsf.display_psf(hdu, ext, vmin=vmin, vmax=vmax, title='', colorbar=False, imagecrop=10,\n", + " ax=ax, return_ax=True)\n", + " \n", + " if i > 0: ax.set_yticklabels([])\n", + "\n", + "#fig.tight_layout()\n", + "fig.subplots_adjust(wspace=0.05, hspace=0.05, top=0.94, bottom=0.15, left=0, right=1)\n", + "\n", + "cbar_ax = fig.add_axes([0.15, 0.05, 0.7, 0.025])\n", + "fig.colorbar(im.images[0], cax=cbar_ax, orientation = 'horizontal')\n", + "cbar_ax.set_xlabel('Fractional Noise')\n", + "cbar_ax.xaxis.set_label_position('top');\n", + "\n", + "fig.suptitle('Speckle Noise Distribution');" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.00\n", + "1.00\n", + "1.00\n", + "1.00\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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wR5MUtqwmYxzg6CkHZMRAO9c/W13jTTsdCRisLGtBKmhvyNZC189JUUQDtAvtb3JAu4If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\nT94amDu8tfNx+7pNKb9ZtqWrZuAeAwYhzvudFNYo/U5lbNL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ojmNggsvyCuyWgbLKmIhj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PAAAg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\njBl9D9sreUf5uo/drlG+nqNwXebI3lw6M2DrDnPI0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7qG33d1nhsBxsLDsg2yGJC9lzvE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\nUa2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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ext=0\n", + "\n", + "ndrift = len(drift_list)\n", + "ratio = [np.median(speckle_spot[i][ext].data / speckle_spot[0][ext].data) for i in range(ndrift)]\n", + "ratio2 = [np.median(speckle_direct[i][ext].data / speckle_direct[0][ext].data) for i in range(ndrift)]\n", + "#plt.plot(drift_list, ratio)\n", + "#plt.plot(drift_list, ratio2)\n", + "#plt.imshow(speckle_spot[2][ext].data / speckle_spot[0][ext].data)\n", + "\n", + "vmin = 1e-13; vmax = 1e-8\n", + "norm = matplotlib.colors.LogNorm(vmin=vmin, vmax=vmax)\n", + "\n", + "speckle_scaled = []\n", + "for i in range(ndrift):\n", + " im = speckle_spot[i][ext].data / ratio[i]\n", + " speckle_scaled.append(im)\n", + " temp = np.median(speckle_spot[0][ext].data / im)\n", + " print('{:.2f}'.format(temp))\n", + "speckle_master = np.mean(np.array(speckle_scaled), axis=0)\n", + "\n", + "plt.imshow(speckle_master, norm=norm)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot Contrast Curves" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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S2/adyUtmb1ocY7yf5EmPx5FKpHS7EQzniBklBEHoJJRKJQBbtmxhwoQJaDQaFi9eDEB0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\n2qRSa7be2H2aTDIWIBbWiYZ8REM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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots(1,1, figsize=(10, 5))\n", + "\n", + "current_palette = sns.color_palette()\n", + "pal1 = sns.color_palette(\"deep\")\n", + "pal2 = sns.color_palette(\"muted\")\n", + "\n", + "for j,drift in enumerate(drift_list):\n", + " r, c = contrast_spot[j]\n", + " ax.semilogy(r, c, color=pal1[0], label='Spot - {:.0f} nm'.format(drift), alpha=0.2*(j+2))\n", + " \n", + "for j,drift in enumerate(drift_list):\n", + " r, c = contrast_bar[j]\n", + " ax.semilogy(r, c, color=pal1[2], label='Bar - {:.0f} nm'.format(drift), alpha=0.2*(j+2))\n", + "\n", + "for j,drift in enumerate(drift_list):\n", + " r, c = contrast_direct[j]\n", + " ax.semilogy(r, c, color=pal1[1], label='Direct - {:.0f} nm'.format(drift), alpha=0.2*(j+2))\n", + "\n", + " \n", + "ax.legend()\n", + "ax.set_xlim([0,5]);\n", + "ax.set_ylim([1e-8,1e-3]);\n", + "ax.set_ylabel('Contrast Ratio')\n", + "ax.minorticks_on()\n", + "ax.legend(ncol=3)\n", + "ax.set_xlabel(\"Radius ('')\")\n", + "\n", + "ax.set_title('Contrast Curves')\n", + "\n", + "fig.tight_layout()\n", + "outdir = '/Users/jwstnircam/Desktop/NRC_Coronagraph/WFE_models/'\n", + "#fig.savefig(outdir+filt_coron+'_contrast_lebreton.pdf', facecolor='none')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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OrKys2L17N2vXrmXWrFmMGjWKkJAQ5syZg7e3N2ZmZpW6jsp4Vp6DepcMy9RqQggh6jN7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\njQ6E+hmMBhN8+R/Wo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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots(1,1, figsize=(10, 5))\n", + "\n", + "current_palette = sns.color_palette()\n", + "pal1 = sns.color_palette(\"deep\")\n", + "pal2 = sns.color_palette(\"muted\")\n", + "\n", + "for j,drift in enumerate(drift_list):\n", + " r, c = contrast_spot[j]\n", + " ax.semilogy(r, c, color=pal1[j], label='Spot - {:.0f} nm'.format(drift))\n", + " \n", + "for j,drift in enumerate(drift_list):\n", + " r, c = contrast_bar[j]\n", + " ax.semilogy(r, c, color=pal1[j], label='w/ jitter - {:.0f} nm'.format(drift), ls='--')\n", + "\n", + "ax.legend()\n", + "ax.set_xlim([0,5]);\n", + "ax.set_ylim([1e-8,1e-3]);\n", + "ax.set_ylabel('Contrast Ratio')\n", + "ax.minorticks_on()\n", + "ax.legend(ncol=2)\n", + "ax.set_xlabel(\"Radius ('')\")\n", + "\n", + "ax.set_title('Contrast Curves')\n", + "\n", + "fig.tight_layout()\n", + "outdir = '/Users/jwstnircam/Desktop/NRC_Coronagraph/WFE_models/'\n", + "#fig.savefig(outdir+filt_coron+'_contrast_lebreton.pdf', facecolor='none')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "anaconda-cloud": {}, + "kernelspec": { + "display_name": "Python [default]", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.12" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/contrast_Krist.ipynb b/notebooks/development/contrast_Krist.ipynb similarity index 100% rename from notebooks/contrast_Krist.ipynb rename to notebooks/development/contrast_Krist.ipynb diff --git a/notebooks/example.fits b/notebooks/example_disk.fits similarity index 100% rename from notebooks/example.fits rename to notebooks/example_disk.fits diff --git a/notebooks/grism_properties/2mass_ks.txt b/notebooks/grism_properties/2mass_ks.txt new file mode 100644 index 00000000..859305ac --- /dev/null +++ b/notebooks/grism_properties/2mass_ks.txt @@ -0,0 +1,76 @@ +1.900 0. +1.915 8.16050E-06 +1.927 1.61002E-05 +1.934 1.59036E-04 +1.939 4.94992E-04 +1.948 5.37610E-03 +1.957 1.18628E-02 +1.962 1.97031E-02 +1.969 4.21742E-02 +1.976 8.73064E-02 +1.981 0.152759 +1.989 0.248173 +1.990 0.190245 +1.998 0.233884 +2.008 0.294551 +2.014 0.398217 +2.019 0.336603 +2.028 0.620746 +2.037 0.764986 +2.045 0.746412 +2.061 0.625063 +2.072 0.725492 +2.075 0.689468 +2.082 0.787906 +2.089 0.818135 +2.099 0.822833 +2.106 0.863294 +2.113 0.877829 +2.120 0.854895 +2.124 0.895329 +2.138 0.918862 +2.145 0.926769 +2.155 0.926657 +2.169 0.900943 +2.176 0.922819 +2.185 0.842755 +2.197 0.945854 +2.208 0.980363 +2.213 0.987926 +2.218 0.984788 +2.232 0.964659 +2.237 0.981633 +2.248 0.983449 +2.256 0.961316 +2.260 0.979226 +2.263 1.00000 +2.265 0.963168 +2.270 0.981193 +2.272 0.968068 +2.276 0.910892 +2.277 0.982136 +2.281 0.889606 +2.284 0.891766 +2.286 0.942380 +2.291 0.840424 +2.293 0.804239 +2.295 0.707670 +2.297 0.657619 +2.299 0.560736 +2.306 0.443653 +2.311 0.348239 +2.316 0.230228 +2.320 0.162597 +2.325 0.135967 +2.328 9.21021E-02 +2.335 6.23901E-02 +2.339 4.30926E-02 +2.344 3.39814E-02 +2.346 3.09546E-02 +2.352 1.18112E-02 +2.361 6.83260E-03 +2.363 7.48518E-04 +2.370 2.99553E-03 +2.375 2.09686E-03 +2.384 4.06306E-04 +2.399 0. \ No newline at end of file diff --git a/notebooks/GRISM0_ModA.tbl b/notebooks/grism_properties/GRISM0_ModA.tbl similarity index 100% rename from notebooks/GRISM0_ModA.tbl rename to notebooks/grism_properties/GRISM0_ModA.tbl diff --git a/notebooks/GRISM0_ModB.tbl b/notebooks/grism_properties/GRISM0_ModB.tbl similarity index 100% rename from notebooks/GRISM0_ModB.tbl rename to notebooks/grism_properties/GRISM0_ModB.tbl diff --git a/notebooks/GRISM90_ModA.tbl b/notebooks/grism_properties/GRISM90_ModA.tbl similarity index 100% rename from notebooks/GRISM90_ModA.tbl rename to notebooks/grism_properties/GRISM90_ModA.tbl diff --git a/notebooks/GRISM90_ModB.tbl b/notebooks/grism_properties/GRISM90_ModB.tbl similarity index 100% rename from notebooks/GRISM90_ModB.tbl rename to notebooks/grism_properties/GRISM90_ModB.tbl diff --git a/notebooks/Grism0_ModA_properties.ipynb b/notebooks/grism_properties/Grism0_ModA_properties.ipynb similarity index 99% rename from notebooks/Grism0_ModA_properties.ipynb rename to notebooks/grism_properties/Grism0_ModA_properties.ipynb index 23b685e5..67837955 100644 --- a/notebooks/Grism0_ModA_properties.ipynb +++ b/notebooks/grism_properties/Grism0_ModA_properties.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 19, + "execution_count": 1, "metadata": { "collapsed": false }, @@ -35,7 +35,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 2, "metadata": { "collapsed": false }, @@ -57,7 +57,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 3, "metadata": { "collapsed": false, "scrolled": true @@ -84,7 +84,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 4, "metadata": { "collapsed": false }, @@ -98,7 +98,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 5, "metadata": { "collapsed": true }, @@ -112,7 +112,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 6, "metadata": { "collapsed": true }, @@ -175,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 8, "metadata": { "collapsed": false, "scrolled": false @@ -201,6 +201,7 @@ " t_group : 214.735\n", " t_frame : 10.737\n", " t_int : 2018.513\n", + " t_int_tot : 2029.250\n", " t_exp : 10092.564\n", " t_acq : 10146.248\n" ] @@ -231,7 +232,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 9, "metadata": { "collapsed": false }, @@ -255,7 +256,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 10, "metadata": { "collapsed": false }, @@ -286,7 +287,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 11, "metadata": { "collapsed": true }, @@ -328,7 +329,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 12, "metadata": { "collapsed": false }, @@ -389,7 +390,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 13, "metadata": { "collapsed": false }, @@ -405,7 +406,7 @@ "data": { "image/png": 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zXFEsJ1wLDw/XHqsUtMWUHzY2NgQGBhZ6vq8iqevrSer6espvXYv6GFlcvIj9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u1tGjlCIYQQQgghHkwGCjpQXlhI9n/DyDp+kvyEGlOLfJ6pmlrk1EemFgkhhBBCiGalWQ8UGnPe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\nAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -456,7 +457,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 14, "metadata": { "collapsed": false }, @@ -522,7 +523,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 15, "metadata": { "collapsed": false }, diff --git a/notebooks/Grism0_ModB_properties.ipynb b/notebooks/grism_properties/Grism0_ModB_properties.ipynb similarity index 100% rename from notebooks/Grism0_ModB_properties.ipynb rename to notebooks/grism_properties/Grism0_ModB_properties.ipynb diff --git a/notebooks/Grism90_ModA_properties.ipynb b/notebooks/grism_properties/Grism90_ModA_properties.ipynb similarity index 100% rename from notebooks/Grism90_ModA_properties.ipynb rename to notebooks/grism_properties/Grism90_ModA_properties.ipynb diff --git a/notebooks/Grism90_ModB_properties.ipynb b/notebooks/grism_properties/Grism90_ModB_properties.ipynb similarity index 100% rename from notebooks/Grism90_ModB_properties.ipynb rename to notebooks/grism_properties/Grism90_ModB_properties.ipynb diff --git a/notebooks/Grism_properties.xlsx b/notebooks/grism_properties/Grism_properties.xlsx similarity index 100% rename from notebooks/Grism_properties.xlsx rename to notebooks/grism_properties/Grism_properties.xlsx diff --git a/notebooks/grism_properties/Grism_sensitivies.xlsx b/notebooks/grism_properties/Grism_sensitivies.xlsx new file mode 100644 index 00000000..5e520a44 Binary files /dev/null and b/notebooks/grism_properties/Grism_sensitivies.xlsx differ diff --git a/notebooks/grism_simulation.ipynb b/notebooks/grism_simulation.ipynb deleted file mode 100644 index 91698dc5..00000000 --- a/notebooks/grism_simulation.ipynb +++ /dev/null @@ -1,467 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false, - "nbpresent": { - "id": "07af7110-9c07-40cd-9a72-6ebc1b5a181d" - } - }, - "outputs": [], - "source": [ - "# Makes print and division act like Python 3\n", - "from __future__ import print_function, division\n", - "\n", - "# Import the usual libraries\n", - "import numpy as np\n", - "import matplotlib\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Enable inline plotting at lower left\n", - "%matplotlib inline\n", - "matplotlib.rcParams['image.origin'] = 'lower'\n", - "matplotlib.rcParams['image.interpolation'] = 'none'\n", - "\n", - "# seaborn package for making pretty plots, but not necessary\n", - "try:\n", - " import seaborn as sns\n", - " params = {'xtick.direction': 'in', 'ytick.direction': 'in', 'font.family': ['serif'],\n", - " 'text.usetex': True, 'text.latex.preamble': ['\\usepackage{gensymb}']}\n", - " sns.set_style(\"ticks\", params)\n", - "except ImportError:\n", - " print('Seaborn module is not installed.')\n", - " \n", - "from IPython.display import display, Latex, clear_output" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false, - "nbpresent": { - "id": "6a8d72ac-a184-4812-9f55-0b34a2ce4995" - } - }, - "outputs": [], - "source": [ - "import pynrc\n", - "from pynrc import nrc_utils\n", - "from pynrc.nrc_utils import (webbpsf, poppy, pix_noise, S)\n", - "pynrc.setup_logging('WARN', verbose=False)\n", - " \n", - "import astropy.io.fits as fits" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false, - "nbpresent": { - "id": "c0793f96-fd0e-4065-8c3f-7de89ea00d09" - } - }, - "outputs": [], - "source": [ - "# Initialize a NIRCam Grism observation in Stripe mode \n", - "nrc = pynrc.NIRCam('F444W', pupil='GRISM0', module='A', \n", - " wind_mode='STRIPE', xpix=2048, ypix=64, fov_pix=64)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false, - "nbpresent": { - "id": "891ac4c3-fd8f-4eac-917b-9ba4411bece4" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "New Ramp Settings:\n", - " read_mode : RAPID\n", - " nf : 1\n", - " nd2 : 0\n", - " ngroup : 70\n", - " nint : 1\n", - "New Detector Settings\n", - " wind_mode : STRIPE\n", - " xpix : 2048\n", - " ypix : 64\n", - " x0 : 0\n", - " y0 : 0\n", - "New Ramp Times\n", - " t_group : 0.341\n", - " t_frame : 0.341\n", - " t_int : 23.843\n", - " t_int_tot : 24.183\n", - " t_exp : 23.843\n", - " t_acq : 24.183\n" - ] - } - ], - "source": [ - "# Update ramp settings\n", - "nrc.update_detectors(read_mode='RAPID', nint=1, ngroup=70, verbose=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false, - "nbpresent": { - "id": "0d9c2372-0bea-4029-8695-9367c3d7d8d0" - } - }, - "outputs": [], - "source": [ - "# Setup Pysynphot spectrum of the source\n", - "# K7V star normalized to K=10.2 mag\n", - "bpk = S.ObsBandpass('johnson,k')\n", - "sp = pynrc.stellar_spectrum('G2V', 8, 'vegamag', bpk)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false, - "nbpresent": { - "id": "0db2baa9-e14d-4bdc-b98c-b4078a62603d" - }, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1.18264392213\n" - ] - } - ], - "source": [ - "# Specify name of output file.\n", - "# Time stamps will be automatically inserted for unique file names.\n", - "file_out = '/Volumes/NIRData/grism_sim/grism_sim.fits'\n", - "res_sp = nrc.gen_exposures(sp, file_out=None)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true, - "nbpresent": { - "id": "1112eb3d-645a-472c-9b01-bacabaf6c9b0" - } - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false, - "nbpresent": { - "id": "6203e0a2-730b-4719-a01c-63ed09f8614f" - } - }, - "outputs": [], - "source": [ - "# Plot the ideal grism spectrum and slope image\n", - "w, im_slope = nrc.gen_psf(sp)\n", - "im_slope += nrc.bg_zodi()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false, - "nbpresent": { - "id": "90857adf-f690-4045-8e15-72524e93285e" - }, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1443.97569296\n" - ] - }, - { - "data": { - "image/png": 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48fWO5+Xl4e9fW8UMCAjAbrfjcDjqHa97Li8v76THG2LcuHEkJCTU+7958+Y1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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# For fun, plot the collapsed spectral image w.r.t. wavelength\n", - "import matplotlib.gridspec as gridspec\n", - "\n", - "fig = plt.figure(figsize=(12,8))\n", - "gs = gridspec.GridSpec(7,1)\n", - "ax1 = fig.add_subplot(gs[:-2, :])\n", - "ax2 = fig.add_subplot(gs[-1, :])\n", - "\n", - "# Collapsed spectrum\n", - "ax1.plot(w, im_slope.sum(axis=0))\n", - "ax1.set_ylabel('Total Counts / sec')\n", - "ax1.set_xlabel('Wavelength ($\\mu m$)')\n", - "ax1.set_title('Callapsed Spectrum')\n", - "ax1.minorticks_on()\n", - "\n", - "# Show the 2D spectral image as well\n", - "vmin = 1e-2\n", - "vmax = im_slope.max()\n", - "print(vmax)\n", - "norm = matplotlib.colors.LogNorm(vmin=vmin, vmax=vmax)\n", - "ax2.imshow(im_slope, norm=norm)\n", - "ax2.set_title('Idealized Spectral Slope Image')\n", - "ax2.set_yticklabels('');" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false, - "nbpresent": { - "id": "2b3480c5-c03d-4a55-ba15-102576f86540" - } - }, - "outputs": [], - "source": [ - "# The current image size is only as large as the dispersed spectrum\n", - "# Expand image to the larger detector size\n", - "xpix = nrc.det_info['xpix']\n", - "ypix = nrc.det_info['ypix']\n", - "im_slope = nrc_utils.pad_or_cut_to_size(im_slope, (ypix,xpix))\n", - "im_slope[im_slope==0] = im_slope[im_slope>0].min()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true, - "nbpresent": { - "id": "5e63d65e-59b0-42b2-b709-b0f4b533697f" - } - }, - "source": [ - "## Quick and dirty slope image of simulated data" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": false, - "nbpresent": { - "id": "faebcbd2-c63b-4c55-b86c-5e7d94f9041a" - } - }, - "outputs": [], - "source": [ - "ramp = res_sp[0].data\n", - "nf,ny,nx = ramp.shape\n", - "\n", - "# Reshape to put all pixel in same dimension for simultaneous poly fit\n", - "ramp = ramp.reshape([nf,-1])" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": false, - "nbpresent": { - "id": "8b193714-67a7-4cfa-aaea-ea188d869c06" - } - }, - "outputs": [], - "source": [ - "# Integration values of each frame in ramp\n", - "tvals = (np.arange(nf)+1) * nrc.multiaccum_times['t_frame']\n", - "ndeg = 2 # Linear fit\n", - "a = np.array([tvals**num for num in range(ndeg)]).T\n", - "coeffs, _, _, _ = np.linalg.lstsq(a,ramp)\n", - "coeffs = coeffs.reshape([ndeg,ny,nx])\n", - "\n", - "im_slope_sim = coeffs[1,:,:] * nrc.Detectors[0].gain" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": { - "collapsed": false, - "nbpresent": { - "id": "56c56d2f-a1a1-4dd4-a4b2-be835d76c8c9" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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pXbt2bfBv9OjRTT7OJT1mqfTLLZiOHL2gxwzplkT0VWf/RTz11FM8+OCDbNy4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\nymhHEkKIT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zTSbcotZA7Ip3t2PCmJFrpnx/PLQDG9tq9g9uvF0l5cCHFSOqzX5qJFixg5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TSfpWFUlKEp7HAwr4SBWMNq1ie9V9Y1qjOF4baWkp1H2SS5M2tO28NH2C3llajmQyXl+KbdaR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\npH6SETbfRrW734f3Qx4A9akCDqTdvPfNHwS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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from mpl_toolkits.axes_grid.inset_locator import inset_axes\n", - "colors = sns.color_palette()\n", - "\n", - "fig = plt.figure(figsize=(14,10))\n", - "gs = gridspec.GridSpec(10,1)\n", - "ax1 = fig.add_subplot(gs[:-3, :])\n", - "ax2 = fig.add_subplot(gs[-2, :])\n", - "ax3 = fig.add_subplot(gs[-1, :])\n", - "\n", - "# Collapsed spectra\n", - "c1 = im_slope.sum(axis=0)\n", - "c1 -= np.median(c1[1900:])\n", - "c2 = im_slope_sim.sum(axis=0)\n", - "c2 -= np.median(c2[1900:])\n", - "\n", - "xvals = np.arange(len(c1))\n", - "ax1.plot(xvals, c1, label='Noiseless Slope Image')\n", - "ax1.plot(xvals, c2, color=colors[2], alpha=0.7, label='Noise Included')\n", - "ax1.set_ylabel('Counts / sec')\n", - "ax1.set_xlabel('Pixel Position')\n", - "ax1.set_title('Collapsed Spectra')\n", - "ax1.minorticks_on()\n", - "ax1.legend(loc=2)\n", - "ax1.set_xlim([0,2047])\n", - "ax1.set_ylim([0,5000])\n", - "\n", - "inset_axes = inset_axes(ax1, width=\"40%\",height=\"40%\",loc=1)\n", - "inset_axes.plot(xvals, c1, lw=3)\n", - "inset_axes.plot(xvals, c2, lw=3, color=colors[2], alpha=0.7)\n", - "inset_axes.set_xlim([950,1099])\n", - "inset_axes.set_ylim([2800,3600])\n", - "inset_axes.minorticks_on()\n", - "\n", - "# Show the 2D spectral image as well\n", - "vmin = 1e-2\n", - "vmax = im_slope.max()\n", - "#print(vmax)\n", - "norm = matplotlib.colors.LogNorm(vmin=vmin, vmax=vmax)\n", - "ax2.imshow(im_slope, norm=norm)\n", - "ax2.set_yticklabels('')\n", - "ax2.set_title('Idealized Spectral Slope Image')\n", - "\n", - "ax3.imshow(im_slope_sim, norm=norm)\n", - "ax3.set_yticklabels('')\n", - "ax3.set_title('Slope Image with Noise')" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "collapsed": true, - "nbpresent": { - "id": "5b81a946-530d-413b-89eb-40e0bd5966da" - } - }, - "outputs": [], - "source": [ - "current_palette = sns.color_palette()" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[(0.2980392156862745, 0.4470588235294118, 0.6901960784313725),\n", - " (0.3333333333333333, 0.6588235294117647, 0.40784313725490196),\n", - " (0.7686274509803922, 0.3058823529411765, 0.3215686274509804),\n", - " (0.5058823529411764, 0.4470588235294118, 0.6980392156862745),\n", - " (0.8, 0.7254901960784313, 0.4549019607843137),\n", - " (0.39215686274509803, 0.7098039215686275, 0.803921568627451)]" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "current_palette" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - } - ], - "metadata": { - "anaconda-cloud": {}, - "kernelspec": { - "display_name": "Python [default]", - "language": "python", - "name": "python2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 2 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.12" - }, - "nbpresent": { - "slides": {}, - "themes": {} - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} diff --git a/notebooks/hd142527_hband.fits b/notebooks/hd142527_hband.fits new file mode 100644 index 00000000..70d4aeb5 --- /dev/null +++ b/notebooks/hd142527_hband.fits @@ -0,0 +1,3391 @@ +SIMPLE = T / Fits standard BITPIX = -32 / Bits per pixel NAXIS = 2 / Number of axes NAXIS1 = 516 / Axis length NAXIS2 = 516 / Axis length EXTEND = T / File may contain extensions ORIGIN = 'NOAO-IRAF FITS Image Kernel July 2003' / FITS file originator IRAF-TLM= '2014-06-13T15:02:03' / Time of last modification OBJECT = 'HD142527' / Name of the object observed DATE = '2014-06-13T15:01:59' / Creation UTC (CCCC-MM-DD) date of FITS header COMMENT FITS (Flexible Image Transport System) format is defined in 'Astronomy COMMENT and Astrophysics', volume 376, page 359; bibcode 2001A&A...376..359H P_HSTEND= '02:36:55.825' /HST when exposure ends P_HSTSTR= '02:36:32.341' /HST when exposure starts P_TFRAME= 1.45479 /Frame time in sec P_IREAD = 0 /Nth read group P_IFOWLR= 0 /Nth Fowler image P_ICOADD= 0 /Nth coadd image BUNIT = 'ADU ' / Unit of original pixel values BLANK = -32768 / Non-data value COMMENT * COMMENT ***** Telescope, instrument, and FITS header version ***** COMMENT * OBSERVAT= 'NAOJ ' / Observatory name TELESCOP= 'Subaru ' / The name of telescope data obtained INSTRUME= 'HICIAO ' / The name of the instrument OBS-ALOC= 'Observation' / Allocation mode for Instrument INS-VER = 'hiciao-2.0.13' / Version of the instrument / control-soft P_HDRVER= 'hiciao-2.0.13' / Version of the FITS header DET-VER = 'scidlcon-1.03.0 rdf2k-2.1.0' / Detector control command script name COMMENT * COMMENT ***** Observation ***** COMMENT * OBSERVER= 'Kudo,Kusakabe,Hashimoto' / Observer PROP-ID = 'o12402 ' / Proposal ID DATE-OBS= '2012-04-11' / Observation start date (UT 'yyyy-mm-dd') UT = '12:36:34.071' / HH:MM:SS.S start UTC at exposure HST = '02:36:30' / HH:MM:SS.S start HST at exposure LST = '15:35:09.564' / HH:MM:SS.S start LST at exposure UT1-UTC = -0.52462 / Difference between UT1 and UTC HST-STR = '02:36:30' / Starting HST of exposure HH:MM:SS.S HST-END = '02:36:57' / Ending HST of exposure HH:MM:SS.S MJD = 56028.52539434 / Modified Julian Day TIMESYS = 'UTC ' / Time system used in this header DATASET = '# ' / ID of an observation dataset FRAMEID = 'HICA00091156' / Image sequential number EXP-ID = 'HICA00091156' / ID of the exposure this data was taken OBS-MOD = 'IPOL ' / Observation mode P_TRMODE= 'ADI ' / Tracking mode of Lyot stop DATA-TYP= 'OBJECT ' / Type / Characteristics of this data RADECSYS= 'FK5 ' / The equitorial coordinate system RA = '15:56:42.393' / HH:MM:SS.SSS RA pointing DEC = '-42:19:22.06' / +/-DD:MM:SS.SS DEC pointing EQUINOX = 2000. / Standard FK5 (years) RA2000 = '15:56:42.393' / HH:MM:SS.SSS RA (J2000) pointing) DEC2000 = '-42:19:22.06' / +/-DD:MM:SS.SS DEC (J2000) pointing) P_EXPMOD= 'ASIC ' / Exposure mode (SHUTTER or ASIC) EXP1TIME= 1.5 / Each exposure time (sec) COADD = 5 / number of coadd EXPTIME = 7.5 / Total exposure time (sec) SEEING = 0. / Seeing size (arcsec) AIRMASS = 2.15138 / Air Mass at start ZD = 62.4021 / Zenith distance at start AUTOGUID= 'OFF ' / Auto guide on/off AG-PRB1 = 139.998 / Radial position of AG probe (mm) AG-PRB2 = 0.000643 / Rotational position of AB probe (degrees) COMMENT * COMMENT ***** Telescope status ***** COMMENT * AZIMUTH = 175.315 / Azimuth of telescope pointing ALTITUDE= 27.5979 / Altitude of telescope pointing M2-TYPE = 'NS_IR ' / 2nd mirror type M2-TIP = 'POSN ' / 2nd mirror tip-tilt on-off IMGROT = 0.010699 / Angle of the image rotator ADC-TYPE= '##ERROR##' / ADC name/type if used ADC = 0. / ADC PA during exposure (degrees) TELFOCUS= 'NS_IR ' / Focus where a beam is reachable FOC-POS = '# ' / Focus where the instrument is attached FOC-VAL = 0. / Encoder value of the focus unit COMMENT * COMMENT ***** Coordinate ***** COMMENT * WCS-ORIG= 'SUBARU Toolkit' / Origin of the WCS value CRVAL1 = 239.176637 / Physical value of the reference pixel X CRVAL2 = -42.322794 / Physical value of the reference pixel Y CTYPE1 = 'RA---TAN' / Pixel coordinate system CTYPE2 = 'DEC--TAN' / Pixel coordinate system CUNIT1 = 'DEGREE ' / Units used in both CRVAL1 and CDELT1 CUNIT2 = 'DEGREE ' / Units used in both CRVAL2 and CDELT2 PROJP1 = 0. / Projection type of the first axis PROJP2 = 0. / Projection type of the second axis LONGPOLE= 180. / The North Pole of the standard system PC001001= -1. / Pixel coordinate translation matrix PC001002= 0. / Pixel coordinate translation matrix PC002001= 0. / Pixel coordinate translation matrix PC002002= 1. / Pixel coordinate translation matrix CD1_1 = -9.2103782801675E-7 / Pixel coordinate transformation matrix CD2_2 = 8.93236838801026E-7 / Pixel coordinate transformation matrix COMMENT * COMMENT ***** Environment conditions ***** COMMENT * DOM-HUM = 6.7 / Dome humidity (%) OUT-HUM = 8. / Outside humidity (%) DOM-TMP = 274.85 / Dome temperature (C) OUT-TMP = 272.45 / Outside temperature (C) DOM-WND = 0.7 / Dome wind speed (m/sec) OUT-WND = 4.8 / Outside wind speed (m/sec) DOM-PRS = 619.8 / Dome pressure (hpa) OUT-PRS = 619.8 / Outside pressure (hpa) WEATHER = 'Fine ' / Weather condition P_VACUUM= -1. / Vacuum inside dewar (torr) P_OB-TMP= 99.8224 / Optical bench temperature (K) COMMENT * COMMENT ***** Detector ***** COMMENT * DETECTOR= 'HAWAII-2RG' / Name of the detector/CCD DET-TMP = 114.292 / Detector temperature DET-TSD = 0.00836660026534 / Standard deviation of detector temp. (K) GAIN = 1.66 / AD conversion factor (electron/ADU) P_VRST = 0.35 / Vreset (V) P_VDSUB = 0.6 / Dsub (V) P_CLK = 10. / Clock speed (microsec/pix) DET-SMPL= 'NON DESTRUCTIVE' / Sample method of detector BIN-FCT1= 1 / Binning factor of X axis BIN-FCT2= 1 / Binning factor of Y axis PRD-MIN1= 1 / Start x pos. of partially read out PRD-MIN2= 1 / Start y pos. of partially read out PRD-RNG1= 2048 / x range of partially read out PRD-RNG2= 2048 / y range of partially read out DET-RST = 1 / Reset number before exposure DET-NSMP= 1 / # of multiple sample in each exposure DETPXSZ1= 0.018 / Detector pixel size in axis1 (mm) DETPXSZ2= 0.018 / Detector pixel size in axis2 (mm) P_DETRCH= 32 / Number of detector readout channels (4/32) P_DETDUM= 0 / Number of dummy readouts P_FIMAGE= 'no ' / Keep all Fowler sampling images? P_CIMAGE= 'yes ' / Keep all coadd images? COMMENT * COMMENT ***** General optical configuration ***** COMMENT * P_COMP = 'ON ' / Compensator (on/off) P_SHUTOP= '00:00:00.00' / MM/DD HH:MM:SS.SS Shutter Opening Time (HST) P_FMID = 'PDI ' / Field Mask ID P_FMSLT = 1 / Slot number of field mask P_FMPLS = -41.91 / Field mask position (pulse) P_FLID = 'NOMASK ' / Field lens ID P_FLSLT = 2 / Slot number of field lens P_FLXPLS= -0.04 / Field lens x position (pulse) P_FLYPLS= 0.31 / Field lens y position (pulse) P_FLDX = -7.981 / Field lens dx position (pix) P_FLDY = 60.576 / Field lens dy position (pix) P_COLID = 'WORK ' / Collimator position ID P_COLPLS= 3.37 / Collimator z position (pulse) P_WPID = 'PDI ' / Wolliston prism ID P_WPSLT = 1 / Slot number of Wollaston prism P_WPPLS = -10.34 / Wollaston prism stage position (pulse) P_WPZPOS= '35 ' / Wollaston prism position along optical axis (2/FILTER01= 'H ' / Filter name/ID P_FW1SLT= 6 / Slot number of filter wheel 1 P_FW1PLS= 16000. / Filter position of filter wheel 1 (pulses) P_FW1HS = 0.426967 / Hall sensor value of filter wheel 1 (mV) FILTER02= 'OPEN ' / Filter name/ID P_FW2SLT= 1 / Slot number of filter wheel 2 P_FW2PLS= 0. / Filter position of filter wheel 2 (pulses) P_FW2HS = 0.343309 / Hall sensor value of filter wheel 2 (mV) FILTER03= 'OPEN ' / Filter name/ID P_FW3SLT= 2 / Slot number of filter wheel 3 P_FW3PLS= 6400. / Filter position of filter wheel 3 (pulses) P_FW3HS = 0.304877 / Hall sensor value of filter wheel 3 (mV) P_DIFF01= 'OPEN ' / Filter ID in channel 1 P_DIFF02= 'OPEN ' / Filter ID in channel 2 P_DIFF03= 'OPEN ' / Filter ID in channel 3 P_DIFF04= 'OPEN ' / Filter ID in channel 4 P_PIXSCL= 10. / Pixel scale (mas/pix) P_FCSID = 'H ' / Focus position ID P_DETPOS= 1550 / Detector stage focus position (pulse) COMMENT * COMMENT ***** Adaptive optics ***** COMMENT * D_MODE = 'NGS ' / Guide star mode (NGS,LGS,LGSwoNGS) D_ENSHUT= 'OPEN ' / Entrance shutter position (OPEN,CLOSE) D_ESHUTP= 162. / Entrance shutter position (mm) D_CLD1 = 'OFF ' / CAL LD 655nm (ON,OFF) D_CLD2 = 'OFF ' / CAL LD 1550nm (ON,OFF) D_CLD3 = 'OFF ' / CAL LD 589nm (ON,OFF) D_CALX = 'OUT ' / CAL X stage position D_CALXP = 0. / CAL X stage position (mm) D_CALZ = 'OUT ' / CAL Z stage position D_CALZP = 100. / CAL Z stage position (mm) D_IMR = 'TRACK ' / IMR tracking status (TRACKING,SLEWING,STAND-BY)D_IMRMOD= 'ADI ' / IMR tracking mode (SID,NON-SID,ADI,STOP,OTHER) D_IMRANG= 0.195 / IMR angle (deg) D_IMRPAD= 0. / IMR position angle of dec. axis (deg) D_IMRPAP= 117.196 / IMR position angle (deg) D_IMRRA = '15:56:42.058' / IMR tracking right ascension (J2000) D_IMRDEC= '-42:19:20.310' / IMR tracking declination (J2000) P_AOIMR = 0.195 / Position of AOImR (degree) P_IMROFF= -117.2 / Offset angle of AOImR (degree) D_SADC = 'IN ' / Science path ADC position (IN, OUT) D_SADCP = 163.025 / Science path ADC position (mm) D_SADCST= 'SYNC ' / Science path ADC tracking status D_SADCMD= 'ADI ' / Science path ADC tracking mode D_SADCA1= 372.078 / Science path ADC prism #1 position (deg) D_SADCA2= 140.686 / Science path ADC prism #2 position (deg) D_SADCFC= 1. / SciPath ADC prism angle correction factor D_SADCRA= '15:56:42.1' / SciPath ADC tracking right ascension (J2000) D_SADCDC= '-42:19:20' / SciPath ADC tracking declination (J2000) D_SADCPA= 117.196 / SciPath ADC tracking position angle (deg) D_TTX = 0.906 / TT mount tip voltage (V) D_TTY = 1.51 / TT mount tilt voltage (V) D_WTTC1 = 0. / HOWFS TT ch1 voltage (V) D_WTTC2 = 0. / HOWFS TT ch2 voltage (V) D_BS1 = 'NIR1 ' / BS1 position (NIR1,NIR2,OPT) D_BS1P = 2.31 / BS1 position (mm) D_BS2 = 'MIRROR ' / BS2 position (BS589,MIRROR) D_BS2P = 152.63 / BS2 position (mm) D_FCONV = 'OUT ' / F-conversion optics position (IN,OUT) D_FCONVP= -75. / F-conversion optics stage position (mm) D_AU1X = 1.24728 / AU1 offset X (mm) D_AU1Y = 1.04952 / AU1 offset Y (mm) D_AU1XA = 2.32553 / AU1 offset X on sky (arcsec) D_AU1YA = 1.95679 / AU1 offset Y on sky (arcsec) D_AU1FOC= -1.97008 / AU1 focus (mm) D_AU1TX = 1.0E-05 / AU1 tilt X (deg) D_AU1TY = 0. / AU1 tilt Y (deg) D_AU1M1X= 6.79112 / AU1 M1 X actuator (mm) D_AU1M1Y= 12.4328 / AU1 M1 Y actuator (mm) D_AU1M1Z= -46.254 / AU1 M1 Z stage (mm) D_AU1M2X= 6.82876 / AU1 M2 X actuator (mm) D_AU1M2Y= 12.9882 / AU1 M2 Y actuator (mm) D_AU1GSX= 1050. / AU1 guide star X pos (pix) D_AU1GSY= 1070. / AU1 guide star Y pos (pix) D_AU2X = -1.0E-05 / AU2 offset X (mm) D_AU2Y = 1.0E-05 / AU2 offset Y (mm) D_AU2XA = -1.0E-05 / AU2 offset X on sky (arcsec) D_AU2YA = 2.0E-05 / AU2 offset Y on sky (arcsec) D_AU2FOC= -3.18999 / AU2 focus (mm) D_AU2TX = 0. / AU2 tilt X (deg) D_AU2TY = 0. / AU2 tilt Y (deg) D_AU2M1X= 12.0134 / AU2 M1 X actuator (mm) D_AU2M1Y= 12.4344 / AU2 M1 Y actuator (mm) D_AU2M1Z= 2.59706 / AU2 M1 Z stage (mm) D_AU2M2X= 12.2597 / AU2 M2 X actuator (mm) D_AU2M2Y= 12.2699 / AU2 M2 Y actuator (mm) D_AU2GSX= 8.12 / AU2 guide star X pos (pix) D_AU2GSY= 22.15 / AU2 guide star Y pos (pix) D_HWNAP = '2ASEC ' / HOWFS NGS aperture name D_HWNAPP= 64.24 / HOWFS NGS aperture position (mm) D_HWLAP = 'FULL ' / HOWFS LGS aperture name D_HWLAPP= 5.0691 / HOWFS LGS aperture position (mm) D_HWAD = 'OUT ' / HOWFS ADC stage position (IN,OUT) D_HWADP = 0. / HOWFS ADC stage position (mm) D_HWADST= 'ASYNC ' / HOWFS ADC tracking status D_HWADMD= 'NORMAL ' / HOWFS ADC tracking mode D_HWADA1= 384000. / HOWFS ADC prism #1 position (deg) D_HWADA2= 0. / HOWFS ADC prism #1 position (deg) D_HWADFC= 1. / HOWFS ADC prism angle correction factor D_HWADRA= '06:31:31.5' / HOWFS ADC tracking right ascension (J2000) D_HWADDC= '+37:10:41' / HOWFS ADC tracking declination (J2000) D_HWADPA= 0. / HOWFS ADC tracking position angle (deg) D_HWABS = 'NONE ' / HOWFS acq cam. BS position D_HWABSP= 30.18 / HOWFS acq cam. BS position (mm) D_HWAF1 = 'NONE ' / HOWFS acq cam. filter wheel#1 state D_HWAF1P= 0. / HOWFS acq cam. filter wheel#1 position (deg) D_HWAF2 = 'ND0.01 ' / HOWFS acq cam. filter wheel#2 state D_HWAF2P= 144. / HOWFS acq cam. filter wheel#2 position (deg) D_HWHBS = 'NONE ' / HOWFS hires cam. BS position D_HWHBSP= 30.61 / HOWFS hires cam. BS position (mm) D_VMAP = 'FULL ' / HOWFS VM aperture D_VMAPS = 4.6466 / HOWFS VM aperture size (arcsec) D_HWPBS = 'NONE ' / HOWFS pupil cam. BS position D_HWPBSP= 0. / HOWFS pupil cam. BS position (mm) D_HWLAZ = 'NOBS ' / HOWFS LA focus stage position D_HWLAZP= 5.2 / HOWFS LA focus stage position (mm) D_HWLAF = '##NODATA##' / HOWFS LA filter wheel position D_HWLAFP= 0. / HOWFS LA filter wheel position (deg) D_HWLASH= 'CLOSE ' / HOWFS LA shutter state (OPEN,CLOSE) D_HWAPDA= 0.03 / HOWFS APD Average Counts (kcps/elem) D_LWAP1 = ' ' / LOWFS AP1 name D_LWLP1P= 0. / LOWFS AP1 position (mm) D_LWAD = ' ' / LOWFS ADC stage position (IN,OUT) D_LWADP = 0. / LOWFS ADC stage position (mm) D_LWADST= ' ' / LOWFS ADC tracking status D_LWADMD= ' ' / LOWFS ADC tracking mode D_LWADA1= 0. / LOWFS ADC prism #1 position (deg) D_LWADS1= 0 / LOWFS ADC prism #1 position (microstep) D_LWADA2= 0. / LOWFS ADC prism #2 position (deg) D_LWADS2= 0 / LOWFS ADC prism #2 position (microstep) D_LWADFC= 0. / LOWFS ADC prism angle correction factor D_LWADRA= ' ' / LOWFS ADC tracking right ascension (J2000) D_LWADDC= ' ' / LOWFS ADC tracking declination (J2000) D_LWADPA= 0. / LOWFS ADC tracking position angle (deg) D_LWABS = ' ' / LOWFS acq cam. BS position D_LWABSP= 0. / LOWFS acq cam. BS position (mm) D_LWAF1 = ' ' / LOWFS acq cam. filter wheel#1 state D_LWAF1P= 0. / LOWFS acq cam. filter wheel#1 position (deg) D_LWAF2 = ' ' / LOWFS acq cam. filter wheel#2 state D_LWAF2P= 0. / LOWFS acq cam. filter wheel#2 position (deg) D_LWAP2 = ' ' / LOWFS AP2 name D_LWAP2S= 0. / LOWFS AP2 size (arcsec) D_LWPBS = ' ' / LOWFS pupil cam. BS position D_LWPBSP= 0. / LOWFS pupil cam. BS position (mm) D_LWLAZ = ' ' / LOWFS LA focus stage position D_LWLAZP= 0. / LOWFS LA focus stage position (mm) D_LWLAF = ' ' / LOWFS LA filter wheel position D_LWLAFP= 0. / LOWFS LA filter wheel position (deg) D_LWLASH= ' ' / LOWFS LA shutter state (OPEN,CLOSE) D_LWAPDA= 0. / LOWFS APD Average Counts (kcps/elem) D_VMDRV = 'ON ' / VM drive (ON,OFF) D_VMVOLT= 2. / VM voltage (V) D_VMFREQ= 1000. / VM frequency (Hz) D_VMPHAS= 0. / VM phase (deg) D_LOOP = 'ON ' / RTS Loop state (ON,OFF) D_DMGAIN= 10. / RTS DM gain D_TTGAIN= 0.001 / RTS TT gain D_PSUBG = 0.01 / RTS Piston subtract gain D_DMCMTX= 'ao188cmtx.oct' / RTS DM control matrix D_TTCMTX= 'ao188ttctrl.oct' / RTS TT control matrix D_WTTG = 0. / RTS HOWFS-TT gain D_LTTG = 0. / RTS low order TT gain D_LDFG = 0. / RTS low order defocus gain D_HTTG = -99.9 / RTS high order TT gain D_HDFG = -99.9 / RTS high order defocus gain D_ADFG = 0. / RTS AU1 defocus gain D_STTG = 0. / RTS secondary TT gain D_APDTI = -99.9 / APD coolant inlet temperature (degC) D_APDTO = -99.9 / APD coolant outlet temperature (degC) D_BNCTI = 10. / Temperature of AO bench inside (degC) D_BNCTO = 5.4 / Temperature of AO bench outside (degC) D_BNCHI = 9. / Humidity of AO bench inside (%) D_BNCHO = 6. / Humidity of AO bench outside (%) COMMENT * COMMENT ***** Laser Guide Star ***** COMMENT * D_LSTATE= 'UNKNOWN ' / Laser: Generation status (EMIT/SHUTTERED/OFF) D_L589P = -99.99 / Laser: Output power of SFG589 (W) D_LPCUST= 'UNKNOWN ' / Laser: Status of power control unit D_LRCUST= 'UNKNOWN ' / Laser: Status of remote control unit D_LDSC = -9.999 / Diag: Brightness of Sodium gas cell D_LDSCPG= -9.999 / Diag: Gain of PMT for Sodium gas cell D_LDSCT = -99.9 / Diag: Temperature of Sodium gas cell D_LFID = -99999 / Fiber: ID of Laser Fiber D_LFRP = -9.99 / Fiber: Power returned from LLT through fiber D_LFRPR = -99 / Fiber: Gain range of returned power D_LFTHP = -9.99 / Fiber: Overall throughput of relay fiber (%) D_LRSTAT= 'UNKNOWN ' / LaserRoom: Overall status D_LTLNCH= 'UNKNOWN ' / LLT: Laser launching status (ON/OFF) D_LTCLXP= 0. / LLT: Collimator lens X-stage pos. (micron) D_LTCLYP= 0. / LLT: Collimator lens Y-stage pos. (micron) D_LTCLZP= 0. / LLT: Collimator lens Z-stage pos. (micron) D_LTM3XP= 0. / LLT: M3X Stage position of (micron) D_LTM3ZP= 0. / LLT: M3Z Stage position of (micron) D_LTLPWR= -99.99 / LLT: Laser power at LLT (Watt) D_LTTOPT= -99.99 / LLT: Temperature at OPT side (degC) D_LTTIR = -99.99 / LLT: Temperature at IR side (degC) D_LTTFRT= -99.99 / LLT: Temperature at FRONT side (degC) D_LTTRER= -99.99 / LLT: Temperature at REAR side (degC) D_LTSHUT= 'CLOSE ' / LLT: Shutter status (OPEN/CLOSE) D_LTCPOL= 'UNKNOWN ' / LTCS: Policy (FirstON/Classical) D_LTCSHS= 'UNKNOWN ' / LTCS: Status of shuttering (OPEN/CLOSE) D_LTCLST= 'UNKNOWN ' / LTCS: Status of laser propagation (ONSKY/ON/OFFD_LTCTCS= 'UNKNOWN ' / LTCS: Status of collision with telescopes D_LTCSTS= 'UNKNOWN ' / Status of collision with satellite D_LTCTTW= -999999 / Time until telescope collision (sec) D_LTCSTW= -999999 / LTCS: Time until satellite collision (sec) COMMENT * COMMENT ***** Coronagraph ***** COMMENT * P_OMID = 'OMID/00 ' / Identifier of occulting mask P_OMDIA = 0.11 / Mask diameter (mm) P_LSID = 'LYOT/00 ' / Identifier of the stop P_LSANG = -131.2 / Position angle of the stop (deg) COMMENT * COMMENT ***** Polarimetry ***** COMMENT * P_STAG1 = 'SPP ' / Identifier of stage1 P_STGPS1= 0. / Position of stage1 P_STAG2 = 'SHW ' / Identifier of stage2 P_STGPS2= 56. / Position of stage2 P_STAG3 = 'SQW ' / Identifier of stage3 P_STGPS3= 0. / Position of stage3 RETPLAT1= 'HWP ' / Identifier of retarder1 P_RTPOS1= 0. / Position of retarder1 (mm) (obsolete) P_RTAGL1= 0. / Angle of retarder1 (deg) P_RTOFS1= 0. / Offset angle of retarder1 (deg) (obsolete) RET-ANG1= 24.6 / Position angle of retarder1 (deg) P_ROTMD1= 'SYNCH_OFF' / Rotation Mode of retarder1 RETPLAT2= 'QWP ' / Identifier of retarder2 P_RTPOS2= 0. / Position of retarder2 (mm) (obsolete) P_RTAGL2= 0. / Angle of retarder2 (deg) P_RTOFS2= 0. / Offset angle of retarder2 (deg) (obsolete) RET-ANG2= 0. / Position angle of retarder2 (deg) P_ROTMD2= 'SYNCH_OFF' / Rotation Mode of retarder2 RETPLAT3= 'NULL ' / Identifier of retarder3 P_RTPOS3= 0. / Position of retarder3 (mm) (obsolete) P_RTAGL3= -1. / Angle of retarder3 (deg) P_RTOFS3= 0. / Offset angle of retarder3 (deg) (obsolete) RET-ANG3= -1. / Position angle of retarder3 (deg) P_ROTMD3= 'ON ' / Rotation Mode of retarder3 RETPLAT4= 'NULL ' / Identifier of retarder plate4 P_RTPOS4= 0. / Position of retarder4 (mm) (obsolete) P_RTAGL4= -1. / Angle of retarder4 (deg) P_RTOFS4= 0. / Offset angle of retarder4 (deg) (obsolete) RET-ANG4= -1. / Position angle of retarder4 (deg) P_ROTMD4= 'ON ' / Rotation Mode of retarder4 P_POSSLT= ' ' / Slit for polarimetry (obsolete) P_PSANG = 0. / Position angle of pol slit (deg) (obsolete) POLARIZ1= 'POLARIZER' / Name of polarizer1 POL-ANG1= 0. / Position angle of polarizer1 (deg) P_IPX11 = 0.927632 / IP coefficient of X11 P_IPX12 = 0.005401 / IP coefficient of X12 P_IPX13 = -0.004198 / IP coefficient of X13 P_IPX14 = 0.000361 / IP coefficient of X14 P_IPX21 = -0.006559 / IP coefficient of X21 P_IPX22 = -0.536258 / IP coefficient of X22 P_IPX23 = 0.752474 / IP coefficient of X23 P_IPX24 = -0.081898 / IP coefficient of X24 COMMENT * COMMENT ***** FITS end ***** COMMENT * FIXPIX = 'Jun 26 19:33 Bad pixel file is process1/BadPixels' CRCOR = 'Threshold= 15.0, fluxratio= 2.00, removed=178081' WCSDIM = 2 LTM1_1 = 0.366532318431046 LTM2_2 = 0.377940223467287 WAT0_001= 'system=image' WAT1_001= 'wtype=tan axtype=ra' WAT2_001= 'wtype=tan axtype=dec' CRPIX1 = -973.764419478104 CRPIX2 = 343.17945997275 CD1_2 = 2.39281107115561E-6 CD2_1 = 2.34288604049684E-6 LTV1 = -973.764419478104 LTV2 = 343.17945997275 LTM2_1 = 0.981870150648253 LTM1_2 = -0.961383828946996 IMCMB001= 'rca4Qoxsb156' IMCMB002= 'rca4Qoxsb160' IMCMB003= 'rca4Qoxsb164' IMCMB004= 'rca4Qoxsb168' IMCMB005= 'rca4Qoxsb172' IMCMB006= 'rca4Qoxsb176' IMCMB007= 'rca4Qoxsb180' IMCMB008= 'rca4Qoxsb184' IMCMB009= 'rca4Qoxsb188' IMCMB010= 'rca4Qoxsb192' IMCMB011= 'rca4Qoxsb196' IMCMB012= 'rca4Qoxsb200' IMCMB013= 'rca4Qoxsb204' IMCMB014= 'rca4Qoxsb208' IMCMB015= 'rca4Qoxsb212' IMCMB016= 'rca4Qoxsb216' IMCMB017= 'rca4Qoxsb220' IMCMB018= 'rca4Qoxsb224' IMCMB019= 'rca4Qoxsb228' IMCMB020= 'rca4Qoxsb232' NCOMBINE= 20 END >˜ >‚y?5N?;U,? ´>ÐnÆ?âä?SmW?NòÉ>°Í>“Üà>„™¥>ØøJ>sŠ>CÔ·>Œ*>®Rä>˜¿G>žV´>¨¨Ù>¥±¦>®ˆt?5õ?ZÑ?íA?;œg?APÙ?ƒÎŒ?¡Å?‚¾>¨çB>¦O>P~ã=ø™>̲?"Ôò>]à>NÎ>Å<©?=â±?=Ýe?øŽ?m1?E`?L!?@Þ¹>à·›>‰#ë?çÌ??ÙS?r>ÉÎà?Að>úÙw>0'•>–RŒ? 0Ù>… +œ=¬ê\>=¥½>Îxµ?ía?+Cg?RÖ>Ã>Ϙ€?,s1?i©­?RŽ•?>Â"?#•>æ§>¡b=>ý?btÑ?JýÆ?}¨ ?H³>ȉw?%æ©?ªÁ>»ó™> :¡?C™Y?h@é?Vp >û©W=“>0‘>ï +4? ¤)?>>Š•Å>ʤD?PÌ4>¡R[>úðÜ?`ãÉ?k€¶?þ€ó=³>ÜA‹=Hó¦>¹„?_–?.“z?S§#?ià ?$WÂ?ÄJ?Ä|>%x>=Ïø>>„f²>ŠJ¤>ú×L?cÔ?‹]¹?5ÊS?IË?uSb?-U>µJÒ>Ît©>ˆdO=¨—d?¤y>ê§>î¨Á>ùŸª>—g>ð4þ>û_Þ>í·>q¦«?Ù?gÀ‡?¼>³ê?~Ö»?¯x·?…BO>ëk>rÞ>•¶’>·š>Á†õ>L ê>ëZ?J ¾?IÍ? +.õ?5>÷Ó£>—Ú>ÊL>ÆÚ•>Ë ? +e>s´? +Ú²?JIG>±n$?²¼?:ˆÒ?8A‚? 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O?ë?\=²„>{6>¨wQ=&š;>ÐÀß>Yé3>´.?!Ç>‘º>ã«Š?‹$>Ÿ3J>ýr¹?b>¦ÿ*>ïN>˜²q>Çdã=u6>Èì=Ϙ]>~J> í<>Ÿ™*>¯6}>ÃÓä?K®?‰½ÿ?0J6>8ÂÔ>‡kÞ>TùS>šMŸ?aw>üË]>º¦=:ïN=6n=^L>7¤¶>‡ý¶>·Ga>¥·í +P_VDSUB = 0.6 / Dsub (V) +P_CLK = 10. / Clock speed (microsec/pix) +DET-SMPL= 'NON DESTRUCTIVE' / Sample method of detector +BIN-FCT1= \ No newline at end of file diff --git a/obs_nircam.py b/obs_nircam.py deleted file mode 100644 index b02d1970..00000000 --- a/obs_nircam.py +++ /dev/null @@ -1,1461 +0,0 @@ -from __future__ import division, print_function, unicode_literals - -from astropy.convolution import convolve_fft, Gaussian2DKernel -from scipy.ndimage.interpolation import rotate -from scipy import fftpack - -# Import libraries -from pynrc_core import * -from nrc_utils import * - -import logging -_log = logging.getLogger('pynrc') - -class obs_coronagraphy(NIRCam): - """ - Subclass of the NIRCam instrument class used to observe stars (+exoplanets) - with either the coronagraph or direct imaging. - - Parameters - ========== - sp_sci/sp_ref : Pysynphot spectra of science and reference sources - wfe_drift : WFE drift in nm of OPDs - xpix, ypix : Size of detector readout (assumes subarray). - offset_list : For coronagraph, incremental offset positions to build PSFs - for accurately determining contrast curves. - """ - - def __init__(self, sp_sci, sp_ref, distance, wfe_drift=10, offset_list=None, - wind_mode='WINDOW', xpix=320, ypix=320, **kwargs): - - #super(NIRCam,self).__init__(**kwargs) - # Not sure if this works for both Python 2 and 3 - NIRCam.__init__(self, wind_mode=wind_mode, xpix=xpix, ypix=ypix, **kwargs) - - # Spectral models - self.sp_sci = sp_sci - self.sp_ref = sp_ref - self._wfe_drift = wfe_drift - - # Distance to source in pc - self.distance = distance - self._planets = [] - - # Offsets positions to build PSFs - if self.mask is None: - # if no coronagraphic mask, then only 1 PSF - self.offset_list = [0.0] - if offset_list is not None: - print('No coronagraph, so offset_list automatically set to [0.0].') - elif offset_list is None: - self.offset_list = [0.0, 0.1, 0.2, 0.5, 1.0, 2.0] - else: - self.offset_list = offset_list - - print("Generating list of PSFs...") - # Faster once PSFs have already been previously generated - log_prev = conf.logging_level - setup_logging('WARN', verbose=False) - self._gen_psf_off() - setup_logging(log_prev, verbose=False) - - self._gen_ref() - self._set_xypos() - - print("Finished.") - - @property - def wfe_drift(self): - """Assumed WFE drift""" - return self._wfe_drift - @wfe_drift.setter - def wfe_drift(self, value): - """Set the WFE drift value (updates self.nrc_ref)""" - self._wfe_drift = value - self._gen_ref() - - def _gen_ref(self): - """Function to generate Reference observation class""" - - # PSF information - opd = (self.psf_info['opd'][0], self.psf_info['opd'][1], self._wfe_drift) - fov_pix = self.psf_info['fov_pix'] - oversample = self.psf_info['oversample'] - - # Detector information - wind_mode = self.det_info['wind_mode'] - xpix = self.det_info['xpix'] - ypix = self.det_info['ypix'] - - # Create a NIRCam reference class - # If it already exists, just update OPD info - try: - nrc = self.nrc_ref - nrc.update_psf_coeff(opd=opd) - except AttributeError: - print("Creating NIRCam reference class...") - nrc = NIRCam(self.filter, self.pupil, self.mask, \ - wind_mode=wind_mode, xpix=xpix, ypix=ypix, \ - fov_pix=fov_pix, oversample=oversample, opd=opd) - self.nrc_ref = nrc - - - def _gen_psf_off(self): - """ - Create instances of NIRCam observations that are incrementally offset - from coronagraph center to determine maximum value of the detector- - sampled PSF for determination of contrast. - """ - - # If no mask, then the PSF looks the same at all radii - if self.mask is None: - psf = self.gen_psf(self.sp_sci) - self.psf_max_vals = ([0,10], [psf.max(),psf.max()]) - self.psf_offsets = [self] - else: - psf_off = [] - psf_max = [] - self.psf_offsets = [] - for offset in self.offset_list: - - # Full FoV - fov_pix = 2 * np.max(self.offset_list) / self.pix_scale - # Increase to the next power of 2 and make odd - fov_pix = int(2**np.ceil(np.log2(fov_pix)+1)) - oversample = self.psf_info['oversample'] - - nrc_inst = NIRCam(self.filter, self.pupil, self.mask, \ - fov_pix=fov_pix, oversample=oversample, \ - offset_r=offset) - # Append offsets and PSF max values - psf_off.append(offset) - psf_max.append(nrc_inst.gen_psf().max()) - self.psf_offsets.append(nrc_inst) - - # Add background PSF info (without mask) for large distance - psf_off.append(np.max([np.max(self.offset_list)+1, 4])) - psf_max.append(self.gen_psf(use_bg_psf=True).max()) - self.psf_max_vals = (psf_off, psf_max) - - def _set_xypos(self): - """ - Set x0 and y0 subarray positions. - Needs to be more specific for SW+335R and LW+210R as well as - for different modules. - """ - xpix = self.det_info['xpix'] - ypix = self.det_info['ypix'] - x0 = self.det_info['x0'] - y0 = self.det_info['y0'] - mask = self.mask - - if ((x0==0) and (y0==0)) and ((mask is not None) and ('MASK' in mask)): - # Default positions (really depends on xpix/ypix) - if 'LWB' in mask: - x0=275; y0=1508 - elif 'SWB' in mask: - x0=171; y0=236 - elif '430R' in mask: - x0=916; y0=1502 - elif '335R' in mask: - x0=1238; y0=1502 - elif '210R' in mask: - x0=392; y0=224 - - # Make sure subarray sizes don't push out of bounds - if (y0 + ypix) > 2048: y0 = 2048 - ypix - if (x0 + xpix) > 2048: x0 = 2048 - xpix - - self.update_detectors(x0=x0, y0=y0) - - - def planet_spec(self, Av=0, **kwargs): - """ - Return the planet flux rate for spectrum from Spiegel & Burrows (2011). - Parameters: - Av : Extinction magnitude (assumes Rv=4.0) - atmo: A string consisting of one of four atmosphere types: - hy1s = hybrid clouds, solar abundances - hy3s = hybrid clouds, 3x solar abundances - cf1s = cloud-free, solar abundances - cf3s = cloud-free, 3x solar abundances - mass: Integer number 1 to 15 Jupiter masses. - age: Age in millions of years (1-1000) - entropy: Initial entropy (8.0-13.0) in increments of 0.25 - """ - # Create planet class and convert to Pysynphot spectrum - planet = planets_sb11(distance=self.distance, **kwargs) - sp = planet.export_pysynphot() - - # Add extinction from the disk - if Av>0: - Rv = 4.0 - sp *= S.Extinction(Av/Rv,name='mwrv4') - return sp - - - @property - def planets(self): - """Planet info (if any exists)""" - return self._planets - - def add_planet(self, atmo='hy3s', mass=10, age=100, entropy=10, - loc=(0,0), loc_units='AU', Av=0, renorm_args=None): - """ - Add exoplanet information that will be used to generate a point - source image using a spectrum from Spiegel & Burrows (2011). - Use self.kill_planets() to delete them. - - Parameters: - atmo: A string consisting of one of four atmosphere types: - hy1s = hybrid clouds, solar abundances - hy3s = hybrid clouds, 3x solar abundances - cf1s = cloud-free, solar abundances - cf3s = cloud-free, 3x solar abundances - mass: Integer number 1 to 15 Jupiter masses. - age: Age in millions of years (1-1000) - entropy: Initial entropy (8.0-13.0) in increments of 0.25 - - loc = (x,y) : Position to place point source relative to star (center). - loc_units : What units are loc? Valid values are 'AU', 'asec', or 'pix'. - Av : Extinction magnitude (assumes Rv=4.0). - """ - - image_shape = (self.det_info['ypix'], self.det_info['xpix']) - - # Define pixel location - au_per_pixel = self.distance*self.pix_scale - if 'AU' in loc_units: - xoff, yoff = np.array(loc) / au_per_pixel - xoff_asec, yoff_asec = np.array(loc) / self.distance - elif ('asec' in loc_units) or ('arcsec' in loc_units): - xoff, yoff = np.array(loc) / self.pix_scale - xoff_asec, yoff_asec = loc - elif ('pix' in loc_units): - xoff, yoff = loc - xoff_asec, yoff_asec = np.array(loc) * self.pix_scale - else: - _log.warning("Do not recognize loc_units='{}'. Assuming 'AU'".format(loc_units)) - xoff, yoff = np.array(loc) / au_per_pixel - xoff_asec, yoff_asec = np.array(loc) / self.distance - - ycen, xcen = tuple((a - 1) / 2.0 for a in image_shape) - xpix, ypix = int(round(xoff+xcen)), int(round(yoff+ycen)) - - # Make sure planet is within image bounds - sh_diff = np.abs(np.array([ypix,xpix]))-np.array(image_shape) - if np.any(sh_diff>=0): - _log.warning('xoff,yoff = {} is beyond image boundaries.'.format((xoff,yoff))) - - # X and Y pixel offsets from center of image - #xoff = xpix-xcen - #yoff = ypix-ycen - # Dictionary of planet info - d = {'xyoff_pix':(xoff,yoff), 'atmo':atmo, 'mass':mass, 'age':age, - 'entropy':entropy, 'Av':Av, 'renorm_args':renorm_args} - self._planets.append(d) - - def gen_planets_image(self, PA_offset=0): - """ - Use info stored in self.planets to create a noiseless slope image - of just the exoplanets (no star). - - PA_offset (float) : Rotate entire scene by some position angle. - Positive values are counter-clockwise from +Y direction. - Corresponds to instrument aperture PA. - """ - if len(self.planets)==0: - _log.warning("No planet info at self.planets") - return 0 - - if PA_offset is None: PA_offset=0 - - image_shape = (self.det_info['ypix'], self.det_info['xpix']) - image = np.zeros(image_shape) - for pl in self.planets: - # Choose the PSF closest to the planet position - xoff, yoff = pl['xyoff_pix'] - - # Add in PA offset - if PA_offset!=0: - r, theta = xy_to_rtheta(xoff, yoff) - xoff, yoff = rtheta_to_xy(r, theta+PA_offset) - - xoff_asec, yoff_asec = np.array(pl['xyoff_pix']) * self.pix_scale - if len(self.offset_list) > 1: - roff_asec = np.sqrt(xoff_asec**2 + yoff_asec**2) - abs_diff = np.abs(np.array(self.offset_list)-roff_asec) - ind = np.where(abs_diff == abs_diff.min())[0][0] - else: - ind = 0 - - # Create slope image (postage stamp) of planet - sp = self.planet_spec(**pl) - renorm_args = pl['renorm_args'] - if len(renorm_args) > 0: - sp_norm = sp.renorm(*renorm_args) - sp_norm.name = sp.name - sp = sp_norm - - psf_planet = self.psf_offsets[ind].gen_psf(sp) - - # This is offset according to offset_list - # First, shift to center - offset_pix = -self.offset_list[ind] / self.pix_scale - psf_planet = fshift(psf_planet, dely=offset_pix, pad=True) - - # Expand to full size - psf_planet = pad_or_cut_to_size(psf_planet, image_shape) - - # Shift to final position and add to image - #psf_planet = fshift(psf_planet, delx=xpix-xcen, dely=ypix-ycen, pad=True) - image += fshift(psf_planet, delx=xoff, dely=yoff, pad=True) - - return image - - - def kill_planets(self): - self._planets = [] - - - - def star_flux(self, fluxunit='counts'): - """ - Return the stellar flux in whatever units, such as - vegamag, counts, or Jy. - """ - - # Create pysynphot observation - bp = self.bandpass - waveset = bp.wave - obs = S.Observation(self.sp_sci, bp, binset=waveset) - - return obs.effstim(fluxunit) - - - def calc_contrast(self, roll_angle=10, zfact=None, nsig=1): - """ - Generate n-sigma contrast curve for the current observation settings. - Make sure that MULTIACCUM parameters are set in both the main - class (self.update_detectors()) as well as the reference target - class (self.nrc_ref.update_detectors()). - - roll_angle : Telescope roll angle (deg) between two observations. - If set to 0 or None, then only one roll will be performed. - If value is >0, then two rolls are performed, each using the - specified MULTIACCUM settings (doubling the effective exposure - time). - zfact : Zodiacal background factor (default=2.5) - nsig : n-sigma contrast curve - - Returns 3 arrays: - radius in arcsec - n-sigma contrast - n-sigma magnitude limit (vega mags) - """ - from astropy.convolution import convolve, Gaussian1DKernel - - sci = self - ref = self.nrc_ref - - if roll_angle is None: roll_angle = 0 - - # psf1 is the occulted science target star - # psf2 is the occulted reference star - psf1 = sci.gen_psf(self.sp_sci, return_oversample=False) - psf2 = ref.gen_psf(self.sp_ref, return_oversample=False) - - # Noise for psf1 - det = sci.Detectors[0] - fzodi = sci.bg_zodi(zfact) - im_noise1 = det.pixel_noise(fsrc=psf1, fzodi=fzodi) - - # Noise for psf2 - det = ref.Detectors[0] - fzodi = ref.bg_zodi(zfact) - im_noise2 = det.pixel_noise(fsrc=psf2, fzodi=fzodi) - - # Reference simulated slope image - im_ref = psf2 + np.random.normal(scale=im_noise2) - - # Roll 1 and 2 simulated slope images - im_roll1 = psf1 + np.random.normal(scale=im_noise1) - scale1 = im_roll1.sum() / im_ref.sum() - im_diff1 = im_roll1 - im_ref*scale1 - if roll_angle!=0: - im_roll2 = psf1 + np.random.normal(scale=im_noise1) - scale2 = im_roll2.sum() / im_ref.sum() - im_diff2 = im_roll2 - im_ref*scale2 - im_diff2_rot = rotate(im_diff2, roll_angle, reshape=False) - final = (im_diff1 + im_diff2_rot) / 2 - else: - final = im_diff1 - - hdu = fits.PrimaryHDU(final) - hdu.header['EXTNAME'] = ('DET_SAMP') - hdu.header['OVERSAMP'] = 1 - hdu.header['PIXELSCL'] = sci.pix_scale / hdu.header['OVERSAMP'] - hdu_diff = fits.HDUList([hdu]) - - # Radial noise - binsize = hdu_diff[0].header['OVERSAMP'] * hdu_diff[0].header['PIXELSCL'] - rr, stds = webbpsf.radial_profile(hdu_diff, ext=0, stddev=True, binsize=binsize) - stds[0] = stds[1] # First element is always a NaN - stds = convolve(stds, Gaussian1DKernel(1)) - - # Ignore corner regions - xsize = hdu_diff[0].header['PIXELSCL'] * hdu_diff[0].data.shape[0] / 2 - mask = rr 0: - im_roll2 = im_star + sci.gen_planets_image(PA_offset=PA2) - # Noise per pixel - if not exclude_noise: - im_noise2 = det.pixel_noise(fsrc=im_roll2, fzodi=fzodi) - # Add random noise - im_roll2 += np.random.normal(scale=im_noise2) - - # Subtract reference star from Roll 2 - scale2 = scale_ref_image(im_roll2, im_ref) - if oversample != 1: - im_roll2 = frebin(im_roll2, scale=oversample) - im_diff2 = im_roll2 - im_ref_rebin * scale2 - - # De-rotate Roll 2 onto Roll 1 - # Convention for rotate() is opposite PA_offset - im_diff2_rot = rotate(im_diff2, roll_angle, reshape=False) - final = (im_diff1 + im_diff2_rot) / 2 - else: - final = im_diff1 - - # De-rotate PA1 to North - if abs(PA1) > 0: - final = rotate(final, PA1, reshape=False) - - hdu = fits.PrimaryHDU(final) - hdu.header['EXTNAME'] = ('DET_SAMP') - hdu.header['OVERSAMP'] = oversample - hdu.header['PIXELSCL'] = sci.pix_scale / hdu.header['OVERSAMP'] - hdulist = fits.HDUList([hdu]) - - return hdulist - - -class nrc_diskobs(NIRCam): - """ - Subclass of the NIRCam instrument class. This subclass is specifically used to - create observations of disks using either the coronagraph or direct imaging. - - Pass an HDUlist that contains the model image, which contains header information - on the model's PIXSCALE (arcsec/pixel) and DISTANCE (parsecs). - - Parameters - ========== - offset_list : For coronagraph, incremental offset positions to build PSFs - for convolving disk images. - xpix, ypix : Size of detector readout (assumes subarray). - """ - - def __init__(self, hdulist, offset_list=None, xpix=320, ypix=320, save_psf=True, **kwargs): - - # If __init__ is called manually and self.hdulist already exists from - # a previous initialization, then do not bother rerunning the parent - # class __init__. - try: - self.hdulist - except AttributeError: - #super(NIRCam,self).__init__(**kwargs) - # Not sure if this works for both Python 2 and 3 - NIRCam.__init__(self, wind_mode='WINDOW', xpix=xpix, ypix=ypix, save_psf=save_psf, **kwargs) - - # Model image and header information - self.hdulist = hdulist - - # Offsets positions to build PSFs - if self.mask is None: - # if no coronagraphic mask, then only 1 PSF - self.offset_list = [0.0] - if offset_list is not None: - print('No coronagraph, so offset_list automatically set to [0.0].') - elif offset_list is None: - self.offset_list = [0.0, 0.1, 0.2, 0.5, 1.0, 2.0, 4.0] - else: - self.offset_list = offset_list - - self.psf_pix_det = int(np.ceil(self.hdu_image.shape[0] / self.image_oversample)) - # Pixel distances of the oversampled images - ycen, xcen = np.where(self.hdu_image == self.hdu_image.max()) - cen = (ycen[0], xcen[0]) - self.image_rho = dist_image(self.hdu_image, pixscale=self.image_scale, center=cen) - - print("Generating list of PSFs...") - # This will get skipped if the PSFs have already been generated - log_prev = conf.logging_level - setup_logging('WARN', verbose=False) - self._gen_psfs() - setup_logging(log_prev, verbose=False) - - print("Convolving image slices...") - self._convolve_image() - - print("Making reference PSF image...") - self._make_ref_image() - - # Create the coronagraphic mask element image - if self.mask is not None: - fov = self.image_scale * self.hdu_image.shape[0] - self.image_coron = coron_trans(self.mask, self.module, self.image_scale, fov=fov) - #self.image_coron = pad_or_cut_to_size(image_coron, self.hdu_image.shape) - - print("Finished.") - - @property - def image_scale(self): - """Pixel scale of image (usually oversampled)""" - return self.hdulist[0].header['PIXSCALE'] - @property - def image_oversample(self): - """Image oversampling amount""" - return np.int(np.round(self.pix_scale / self.image_scale)) - @property - def image_dist(self): - """Object distance (pc)""" - return self.hdulist[0].header['DISTANCE'] - @property - def hdu_image(self): - """Model image data in hdulist""" - return self.hdulist[0].data - @property - def hdu_header(self): - """Header info in hdulist""" - return self.hdulist[0].header - - @property - def image_planet(self): - """Planet image (if it exists)""" - try: im = self._image_planet - except: im = 0.0 - return im - - def _gen_psfs(self): - """ - Create instances of NIRCam observations that are incrementally offset - from coronagraph center. - - Generate a list of PSFs (oversampled) for each offset position. - """ - - # Create NIRcam objects - #self.psf_over_list = [] - self.psf_over_list = [] - - # if no coronagraphic mask, then only 1 PSF - #offset_list = [0.0] if self.mask is None else self.offset_list - psf_dir = conf.PYNRC_PATH + 'disk_psfs/' - - # Generate PSFs from coefficients and shift to center - for offset in self.offset_list: - # Generate filename and check if it exists - # Saving the padded PSFs is much faster than generating new ones each time - f = self.filter - m = 'none' if self.mask is None else self.mask - p = 'none' if self.pupil is None else self.pupil - fov_pix = 2*self.psf_pix_det - oversample = self.image_oversample - outfile = '{}_{}_{}_{:04.0f}_{:1.0f}_{:4.2f}.npy'.\ - format(f,m,p,fov_pix,oversample,offset) - - psf_path = psf_dir+outfile - if os.path.exists(psf_path): - psf_over = np.load(psf_path) - else: - print(' Offset: {} asecs'.format(offset)) - nrc_inst = NIRCam(self.filter, mask=self.mask, pupil=self.pupil, \ - fov_pix=fov_pix, oversample=oversample, \ - offset_r=offset) - _, psf_over = nrc_inst.gen_psf(return_oversample=True) - np.save(psf_path, psf_over) - - # Shift to center - offset_pix = -offset / self.image_scale - #psf_over = fshift(psf_over, dely=offset_pix, pad=True) - self.psf_over_list.append(fshift(psf_over, dely=offset_pix, pad=True)) - - def _convolve_image(self): - - noff = len(self.offset_list) - if self.mask is None: # Direct imaging - worker_arguments = [(self.psf_over_list[0], self.hdu_image, self.image_rho, - self.offset_list, i) for i in np.arange(noff)] - else: # Coronagraphic imaging - worker_arguments = [(psf, self.hdu_image, self.image_rho, self.offset_list, i) - for i,psf in enumerate(self.psf_over_list)] - - nproc = nproc_use_convolve(self.psf_pix_det, self.image_oversample, noff) - if nproc<=1: - imconv_slices = map(_wrap_convolve_for_mp, worker_arguments) - else: - pool = mp.Pool(nproc) - imconv_slices = pool.map(_wrap_convolve_for_mp, worker_arguments) - pool.close() - - # Turn into a numpy array of shape (noff,nx,ny) - imconv_slices = np.array(imconv_slices) - - # Sum all images together - self.image_conv = imconv_slices.sum(axis=0) - - # Sum images that exclude flux from the inner 5 AU - darr = np.array(self.offset_list) * self.image_dist - ind = np.where(darr>5) - self.image_conv2 = imconv_slices[ind[0],:,:].sum(axis=0) - - - def _make_ref_image(self): - - psf_ref = self.psf_over_list[0] - - image = self.hdu_image - ycen, xcen = np.where(image == image.max()) - cen = (ycen[0], xcen[0]) - - mask = (image==image.max()) - indx,indy = np.where(mask == True) - arr = np.arange(-3,3,1) - for ix in arr: - for iy in arr: - mask[indx[0]+ix,indy[0]+iy] = True - - im_temp = np.zeros(image.shape) - im_temp[mask] = image[mask] - self.im_ref = convolve_fft(im_temp, psf_ref, fftn=fftpack.fftn, ifftn=fftpack.ifftn, allow_huge=True) - - resid = self.image_conv - self.image_conv2 - scale = np.mean(resid / self.im_ref) - - self.im_ref *= scale - - def star_flux(self, fluxunit): - """ - Return the stellar flux in whatever units, such as - vegamag, counts, or Jy. - """ - - star_count = self.hdu_image.max() - if 'counts' in fluxunit: - return star_count - - # Create pysynphot observation - bp = self.bandpass - waveset = bp.wave - - #sp_flat = S.ArraySpectrum(waveset, 0*waveset + 10.) - # Normalize to spectrum to return stellar count rate - #sp_norm = sp_flat.renorm(bp.unit_response()*star_count, 'flam', bp) - # Bandpass unit response is the flux (in flam) of a star that - # produces a response of one count per second in that bandpass - norm = bp.unit_response()*star_count - sp_norm = stellar_spectrum('flat', norm, 'flam', bp) - # Convert to an observation - obs = S.Observation(sp_norm, bp, binset=waveset) - - return obs.effstim(fluxunit) - - def planet_flux(self, fluxunit='counts', Av=0, **kwargs): - """ - Return the planet flux rate for spectrum from Spiegel & Burrows (2011). - Parameters: - Av : Extinction magnitude (assumes Rv=4.0) - atmo: A string consisting of one of four atmosphere types: - hy1s = hybrid clouds, solar abundances - hy3s = hybrid clouds, 3x solar abundances - cf1s = cloud-free, solar abundances - cf3s = cloud-free, 3x solar abundances - mass: Integer number 1 to 15 Jupiter masses. - age: Age in millions of years (1-1000) - entropy: Initial entropy (8.0-13.0) in increments of 0.25 - base_dir: Location of atmospheric model sub-directories. - """ - # Create planet class and convert to Pysynphot spectrum - planet = planets_sb11(distance=self.image_dist, **kwargs) - sp = planet.export_pysynphot() - - # Add extinction from the disk - Rv = 4.0 - sp *= S.Extinction(Av/Rv,name='mwrv4') - obs = S.Observation(sp, self.bandpass, binset=self.bandpass.wave) - - return obs.effstim(fluxunit) - - - def add_planet(self, loc=(100,100), loc_units='AU', Av=0, **kwargs): - """ - Add an exoplanet point source using spectrum from Spiegel & Burrows (2011). - Doing this multiple times will and multiple planets. - Used self.kill_planets() to delete them. - - Parameters: - loc = (x,y) : Position to place point source relative to center - loc_units : What units are loc? Valid are values are 'AU' or 'asec' - Av : Extinction magnitude (assumes Rv=4.0) - - **kwargs: - atmo: A string consisting of one of four atmosphere types: - hy1s = hybrid clouds, solar abundances - hy3s = hybrid clouds, 3x solar abundances - cf1s = cloud-free, solar abundances - cf3s = cloud-free, 3x solar abundances - mass: Integer number 1 to 15 Jupiter masses. - age: Age in millions of years (1-1000) - entropy: Initial entropy (8.0-13.0) in increments of 0.25 - base_dir: Location of atmospheric model sub-directories. - """ - - image = self.hdu_image - - # Create point image at loc position to convolve with PSF - au_per_pixel = self.image_dist*self.image_scale - if 'AU' in loc_units: - xoff, yoff = np.array(loc) / au_per_pixel - xoff_asec, yoff_asec = np.array(loc) / self.image_dist - elif ('asec' in loc_units) or ('arcsec' in loc_units): - xoff, yoff = np.array(loc) / self.image_scale - xoff_asec, yoff_asec = np.array(loc) - else: - _log.warning("Do not recognize loc_units = '{}'. Assuming 'AU'".format(loc_units)) - xoff, yoff = np.array(loc) / au_per_pixel - xoff_asec, yoff_asec = np.array(loc) / self.image_dist - - ycen, xcen = np.where(self.hdu_image == self.hdu_image.max()) - xpix, ypix = int(round(xoff+xcen[0])), int(round(yoff+ycen[0])) - - #x_det, y_det = (self.kwargs['xpix'], self.kwargs['ypix']) - # Make sure planet is within image bounds - sh_diff = np.abs(np.array([ypix,xpix]))-np.array(image.shape) - if np.any(sh_diff>=0): - _log.warning('ypix,xpix = {} is beyond image boundaries. Planet not placed.'\ - .format((ypix,xpix))) - return - - im_temp = np.zeros(image.shape) - # Counts/second to convolve with planet PSF - #print(ypix,xpix,obs.countrate()) - im_temp[ypix,xpix] = self.planet_flux(Av, **kwargs) #obs.countrate() - - # Planet PSF and convolution (oversampled) - # Choose the PSF closest to the planet position - if len(self.offset_list) > 1: - roff_asec = np.sqrt(xoff_asec**2 + yoff_asec**2) - abs_diff = np.abs(np.array(self.offset_list)-roff_asec) - ind = np.where(abs_diff == abs_diff.min())[0][0] - else: - ind = 0 - psf_planet = self.psf_over_list[ind] - self._image_planet = self.image_planet + \ - convolve_fft(im_temp, psf_planet, fftn=fftpack.fftn, ifftn=fftpack.ifftn, allow_huge=True) - - def kill_planets(self): - """Delete any planet data""" - try: del self._image_planet - except: print('No planets to delete!') - - def get_contrast(self, wfe_drift=5, zfact=2.5, cen=None, nsig=1, maglim=False): - """ - Return radially averaged contrast curve of the current observation. - - Parameters - ============ - wfe_drift : WFE drift (nm) to determine speckle noise contributions (default 5nm) - zfact : Zodiacal flux multiplication factor (default 2.5) - cen : Location of star relative to center position (for BAR MASKs) - maglim : Output the magnitude limits at each radial position if True - rather than the relative contrast limits - - """ - - # Location and flux of star - image = self.hdu_image - star_flux = image.max() - - oversample = self.psf_info['oversample'] - - if cen is None: - ycen, xcen = np.where(image == image.max()) - ycen = int(round(ycen[0]/oversample)) - xcen = int(round(xcen[0]/oversample)) - cen = (ycen, xcen) - - # Create HDUList of observations and grab radial stdev - hdulist = self.obs_images(wfe_drift=wfe_drift, zfact=zfact) - rr, stds = radial_profile(hdulist, ext='NOISE', center=cen) - xsize = hdulist['NOISE'].header['PIXELSCL'] * hdulist['NOISE'].data.shape[0] / 2 - mask = rr 1: - # Array of PSF maxes for each offset position - psf_max = [] - for i in range(noff): - psf_ref = self.psf_over_list[i] - psf_ref = pad_or_cut_to_size(psf_ref, (20,20)) - psf_ref = frebin(psf_ref, scale=1/oversample) - psf_max.append(psf_ref.max()) - # Interpolate PSF max at each pixel radius offset - psf_max = np.interp(rr, offset_list, psf_max) - contrast = stds / psf_max - - else: - psf_ref = self.psf_over_list[-1] - psf_ref = frebin(psf_ref, scale=1/oversample) - - # 1-sigma contrast - contrast = stds / psf_ref.max() - - # Sigma limit - star_mag = self.star_flux('vegamag') - sig_lim = star_mag - 2.5*np.log10(contrast) - - # Make sure n-sigma limit at furthest radius matches bg_sensitivity - # This is really only valid when we've hit the bg limit - # Test bg limit by checking if last two elements are equal - # Only currently only valid for direct imaging - #if self.mask is None: - sens_mag, _ = self.sensitivity(units='vegamag', nsig=nsig, ideal_Poisson=True) - sig_lim_true = sens_mag['sensitivity'] - #diff = sig_lim_true - sig_lim.max() - #print(diff.min(), sig_lim_true, sig_lim.max()) - - #if diff < 0: - #sig_lim += diff - #contrast = 10**((star_mag-sig_lim)/2.5) - - if maglim: - return rr, sig_lim - else: - return rr, contrast - - - def obs_noise(self, zfact=2.5, wfe_drift=5, return_oversample=False): - """ - Calculate the noise per pixel (detector sampled) for the current - observational parameters given some zodi level (default=2.5). - - The noise takes into account subtraction of a reference PSF. - Speckle noise is also returned (TBD) - - Parameters - ============ - zfact : Zodiacal flux multiplication factor (default 2.5) - wfe_drift : WFE drift (nm) to determine speckle noise contributions (default 5nm) - """ - - oversample = self.image_oversample - image_total = self.image_conv + self.image_planet - im_rebin = frebin(image_total, scale=1/oversample) - imref_rebin = frebin(self.im_ref, scale=1/oversample) - - fzodi = self.bg_zodi(zfact) - - det = self.Detectors[0] - im_noise1 = det.pixel_noise(fsrc=im_rebin, fzodi=fzodi) - #im_noise2 = det.pixel_noise(fsrc=imref_rebin, fzodi=fzodi) - - # Traditional readout, dark current, and photon noise values - im_noise = im_noise1 - #im_noise = np.sqrt(im_noise1**2 + im_noise2**2) - - # Speckle noise values - speckle_dir = conf.PYNRC_PATH + 'speckle_maps/' - if self.mask is None: speckle_dir += 'direct/' - else: speckle_dir += self.mask + '/' - - # Grab the speckle noise map - speckle_file = self.filter+'_speckle_noise_1nm.fits' - speckle_path =speckle_dir + speckle_file - if os.path.exists(speckle_path): - speckle_noise = fits.getdata(speckle_path) * self.hdu_image.max() * wfe_drift - speckle_noise = pad_or_cut_to_size(speckle_noise, im_noise.shape) - else: - _log.warning('Speckle noise map not found at {}'.format(speckle_path)) - speckle_noise = 0.0 #np.zeros_like(im_noise) - - # Grab the residual speckle map - resid_file = self.filter+'_residual_speckles_1nm.fits' - resid_path = speckle_dir + resid_file - if os.path.exists(resid_path): - speckle_resid = fits.getdata(resid_path)[np.random.randint(0,9),:,:] - speckle_resid *= self.hdu_image.max() * wfe_drift - speckle_resid = pad_or_cut_to_size(speckle_resid, im_noise.shape) - else: - _log.warning('Speckle noise map not found at {}'.format(resid_path)) - speckle_resid = 0.0 #np.zeros_like(im_noise) - - if return_oversample: - im_noise = np.sqrt(frebin(im_noise**2, scale=oversample)) - speckle_noise = np.sqrt(frebin(speckle_noise**2, scale=oversample)) - speckle_resid = frebin(speckle_resid, scale=oversample) - - - return im_noise, speckle_noise, speckle_resid - - def obs_images(self, scaled=False, return_oversample=False, verbose=False, **kwargs): - """ - Output HDUlists of the model, convolved images, noise images, etc. - - kwargs: - zfact - wfe_drift - """ - oversample = self.image_oversample - pix_scale = self.pix_scale - image_scale = self.image_scale - dist_out = self.image_dist - - - # These images are oversampled - immodel = self.hdu_image.copy() - # Mask out the model's central stellar pixel - immodel[immodel==immodel.max()] = 0 - - im_planet = self.image_planet - image = self.image_conv + im_planet # Image of star+disk+planet - imdisk = self.image_conv2 # Image of only outer disk - imref = self.im_ref # Reference star - imsub = image - imref - - # Some other random stuff - imcoron = np.zeros_like(image) if self.mask is None else self.image_coron - rho = self.image_rho - - ramp_time = self.multiaccum_times['t_int'] - pscale = image_scale - - imtot_rebin = frebin(image, scale=1/oversample) - rho_rebin = frebin(rho, scale=1/oversample, total=False) - imcor_rebin = frebin(imcoron, scale=1/oversample, total=False) - - if return_oversample: - # Noise values for oversampled images - im_noise, speckle_noise, speckle_resid = self.obs_noise(return_oversample=True, **kwargs) - imvar = im_noise**2 + speckle_noise**2 - tot_noise = np.sqrt(imvar) - - # Final simulated image with added noise - tot_noise_rebin = np.sqrt(frebin(im_noise**2, scale=1/oversample)) - noise_random_rebin = np.random.normal(scale=tot_noise_rebin) - noise_random = frebin(noise_random_rebin, scale=oversample) - im_final = imsub + noise_random + speckle_resid - - sat_level = imtot_rebin * ramp_time / self.well_level - sat_level = frebin(sat_level, scale=oversample, total=False) - else: - scale = 1 / oversample - immodel = frebin(immodel, scale=scale) - image = imtot_rebin - imdisk = frebin(imdisk, scale=scale) - imref = frebin(imref, scale=scale) - imsub = frebin(imsub, scale=scale) - rho = rho_rebin - imcoron = imcor_rebin - - im_noise, speckle_noise, speckle_resid = self.obs_noise(return_oversample=False, **kwargs) - imvar = im_noise**2 + speckle_noise**2 - tot_noise = np.sqrt(imvar) - - # Final simulated image with added noise - im_final = imsub + np.random.normal(scale=im_noise) + speckle_resid - - # Add a saturation level - sat_level = image * ramp_time / self.well_level - pscale = pix_scale - - # Mask some things internal to 6lambda/D for occulter or 2lambda/D for others - res_el = self.bandpass.avgwave()*2.06265e-05/6.5 - cen_mask = (rho<2*res_el) if self.mask is None else (imcoron<0.75) - - rho_sqr = rho**2 if scaled else np.ones(immodel.shape) - - # SNR Image - #tot_noise = convolve_fft(tot_noise, Gaussian2DKernel(3), - # fftn=fftpack.fftn, ifftn=fftpack.ifftn, allow_huge=True) - snr = imsub / tot_noise - - # If saturated, then set SNR=0, im_final=0 - sat_mask = sat_level > 0.8 - # Mask everything internal to the largest saturated radius - if sat_mask.any(): - sat_mask = (rho <= rho[sat_mask].max()) - snr[sat_mask] = 0 - im_final[sat_mask] = 0 - - if verbose: - # Outside of occulting mask region - cen_mask_rebin = (rho_rebin<2*res_el) if self.mask is None else (imcor_rebin<0.75) - mask_good_rebin = ~cen_mask_rebin - v1 = imtot_rebin.max(); v2 = imtot_rebin[mask_good_rebin].max() - print('Max Flux: {:.1f} [{:.1f}] counts/sec'.format(v1,v2)) - - mask_good = ~cen_mask - v1 = sat_level.max(); v2 = sat_level[mask_good].max() - print('Well Fill: {:.1f} [{:.1f}] times full well'.format(v1,v2)) - print('SNR Max: {:.1f}'.format(snr[mask_good].max())) - - # Add a list of images to an HDUList - im_list1 = [immodel, image, imdisk, imsub, im_final] - names1 = ['MODEL', 'CONV', 'DISK', 'REFSUB', 'FINAL'] - for i,im in enumerate(im_list1): - hdu = fits.PrimaryHDU(im * rho_sqr) - hdu.header['PIXELSCL'] = pscale - hdu.header['EXTNAME'] = (names1[i]) - if i==0: hdulist = fits.HDUList([hdu]) - else: hdulist.append(hdu) - - im_list2 = [snr, tot_noise, speckle_noise, speckle_resid, rho] - names2 = ['SNR', 'NOISE', 'SPNOISE', 'SPRESID', 'RHO'] - for i,im in enumerate(im_list2): - hdu = fits.PrimaryHDU(im) - hdu.header['PIXELSCL'] = pscale - hdu.header['EXTNAME'] = (names2[i]) - hdulist.append(hdu) - - sat_mask = np.uint8(sat_mask) - cen_mask = np.uint8(cen_mask) - im_list3 = [sat_level, sat_mask, cen_mask] - names3 = ['SAT_LEVEL', 'SAT_MASK', 'CEN_MASK'] - for i,im in enumerate(im_list3): - hdu = fits.PrimaryHDU(im) - hdu.header['PIXELSCL'] = pscale - hdu.header['EXTNAME'] = (names3[i]) - hdulist.append(hdu) - - if self.mask is not None: - hdu = fits.PrimaryHDU(imcoron) - hdu.header['PIXELSCL'] = pscale - hdu.header['EXTNAME'] = ('CORON') - hdulist.append(hdu) - - for hdu in hdulist: - hdu.header['INSTRUME'] = 'NIRCam' - hdu.header['FILTER'] = self.filter - - return hdulist - - - -def observe_disk(args_inst, args_model, dist_out=140, subsize=None, - sptype='G2V', star_kmag=None, **kwargs): - - """ - Perform observation of a disk model. - - Parameters - ============ - args_inst : Argument tuple consisting of (filter, mask, pupil) - args_model : Argument tuple defining the model parameters including - (filename, pixel scale, distance, wavelength, units) - pixel scale is assumed to be arcsec/pixel - distance should be pc - wavelength should be um - units are the model surface brightness (ie., mJy/pixel, Jy/arcsec, etc.) - dist_out : Desired distance to place the model object. - sptype : Spectral type of central source, which is use to determine - the scaling of the scattered light component in the observed band. - The stellar flux is also scaled accordingly. - star_kmag : K-Band magnitude of central source to scale photon flux in - the observed filter bandwidth, otherwise just used the scaled flux. - This can be useful if the star is extincted in some way. - subsize : Pixel size of the subarray (typically, 160, 320, or 640) - This is fixed for coronagraphic imaging - """ - filt, mask, pupil = args_inst - fname, scale0, dist0, wave_um, units0 = args_model - wave0 = wave_um * 1e4 - - # If coronagraphic imaging, then override window size and position - # May want to put this check inside Class - bp = read_filter(filt, pupil=pupil, mask=mask) - if (mask is not None) and ('MASK' in mask): - # If subarray size is specified - if subsize is None: - subsize = 640 if bp.avgwave()<2.4 else 320 - if 'LWB' in mask: - x0=275; y0=1508 - elif 'SWB' in mask: - x0=171; y0=236 - elif '430R' in mask: - x0=916; y0=1502 - elif '335R' in mask: - x0=1238; y0=1502 - elif '210R' in mask: - x0=392; y0=224 - # Make sure subarray sizes don't push out of bounds - if (y0 + subsize) > 2048: y0 = 2048 - subsize - if (x0 + subsize) > 2048: x0 = 2048 - subsize - else: - x0 = 0; y0 = 0 - - if 'x0' not in kwargs: kwargs['x0']=x0 - if 'y0' not in kwargs: kwargs['y0']=y0 - - # Default subarray size of 160 - if subsize is None: subsize = 160 - - # Detector pixel scale and PSF oversample - detscale = channel_select(bp)[0] - oversample = 2 - pixscale_over = detscale / oversample - - #### Read in the image, then convert from mJy/arcsec^2 to photons/sec/pixel - - # if no FITs file is specified, then we only want a star - # with its flux placed in the central pixel - if fname is None: - im = np.zeros([3,3]) - im[1,1] = 1.0 - if star_kmag is None: - print('If no file name, then a K-Band stellar magnitude is required.') - return - else :# Open file - hdutemp = fits.open(fname) - im = hdutemp[0].data.copy() - hdutemp.close() - - # Break apart units0 - units_list = units0.split('/') - if 'Jy' in units_list[0]: - units_pysyn = S.units.Jy() - if 'mJy' in units_list[0]: - units_pysyn = S.units.mJy() - if 'umJy' in units_list[0]: - units_pysyn = S.units.umJy() - if 'nJy' in units_list[0]: - units_pysyn = S.units.nJy() - - # Convert from mJy to photlam (photons/sec/cm^2/A/angular size) - # Compare observed wavelength to image wavelength - wave_obs = bp.avgwave() # Current bandpass wavelength - im = units_pysyn.ToPhotlam(wave0, im) - - # We want to assume scattering is flat in photons/sec/A - # This means everything scales with stellar continuum - sp = stellar_spectrum(sptype) - sp.convert('photlam') - im *= sp.sample(wave_obs) / sp.sample(wave0) - - # Convert to photons/sec/pixel - im *= bp.equivwidth() * S.refs.PRIMARY_AREA - # If input units are per arcsec^2 then scale by pixel scale - # This will be ph/sec for each oversampled pixel - if ('arcsec' in units_list[1]) or ('asec' in units_list[1]): - im *= scale0**2 - elif 'mas' in units_list[1]: - im *= (scale0*1000)**2 - - # Place image into an HDUlist - hdu = fits.PrimaryHDU(im) - hdutemp = fits.HDUList([hdu]) - - # Rescale - args_in = (scale0, dist0) - args_out = (pixscale_over, dist_out) - hdulist = image_rescale(hdutemp, args_in, args_out) - hdulist[0].header['UNITS'] = 'photons/sec' - hdulist[0].header['DETSAMP'] = detscale - hdulist[0].header['OVERSAMP'] = oversample - hdulist[0].header['PIXSCALE'] = pixscale_over - hdulist[0].header['DISTANCE'] = dist_out - - # If the stellar magnitude is specified then determine flux - # and replace central pixel after scaling by distance - if star_kmag is not None: - im = hdulist[0].data - sp_norm = sp.renorm(star_kmag, 'vegamag', S.ObsBandpass('k')) - obs_temp = S.Observation(sp_norm, bp, binset=bp.wave) - _log.info('Modifying stellar flux from {:.2e} to {:.2e}'.\ - format(im[im==im.max()][0], obs_temp.countrate())) - im[im==im.max()] = obs_temp.countrate() - - hdutemp.close() - - _log.info('Model Oversample Shape: {}'.format(hdulist[0].data.shape)) - _log.info('Model Max Flux: {:.2e} {}'.format(hdulist[0].data.max(), hdulist[0].header['UNITS'])) - - # image needs to be expanded (or contracted) to subarray size - ypix = xpix = subsize - new_shape = (ypix*oversample, xpix*oversample) - hdulist[0].data = pad_or_cut_to_size(hdulist[0].data, new_shape) - _log.info('FoV Oversample Shape: {}'.format(hdulist[0].data.shape)) - - #im_shape = hdulist[0].data.shape - ##det_shape = tuple(s//oversample for s in im_shape) - #ypix2, xpix2 = (ypix*oversample, xpix*oversample) - #if im_shape[0]ypix2: - # y0, x0 = (np.array(im_shape) - np.array([ypix2,xpix2])) // 2 - # im = hdulist[0].data - # hdulist[0].data = im[y0:y0+ypix2, x0:x0+xpix2] - #print('Oversample Shape: {}'.format(hdulist[0].data.shape)) - - # Generate the model disk observation - return nrc_diskobs(hdulist, filter=filt, mask=mask, pupil=pupil, oversample=oversample, - xpix=xpix, ypix=ypix, **kwargs) - - -def observe_star(args_inst, dist_out=140, subsize=None, - sptype='G2V', star_kmag=None, **kwargs): - - """ - Perform observation of a single star (no disk). - - Parameters - ============ - args_inst : Argument tuple consisting of (filter, mask, pupil) - dist_out : Desired distance to place the model object. - sptype : Spectral type of central source, which is use to determine - the scaling of the scattered light component in the observed band. - The stellar flux is also scaled accordingly. - star_kmag : K-Band magnitude of central source to scale photon flux in - the observed filter bandwidth, otherwise just used the scaled flux. - This can be useful if the star is extincted in some way. - subsize : Pixel size of the subarray (typically, 160, 320, or 640) - This is fixed for coronagraphic imaging - - """ - filt, mask, pupil = args_inst - #fname, scale0, dist0, wave_um, units0 = args_model - #wave0 = wave_um * 1e4 - - # If coronagraphic imaging, then override window size and position - # May want to put this check inside Class - bp = read_filter(filt, pupil=pupil, mask=mask) - if (mask is not None) and ('MASK' in mask): - # If subarray size is specified - if subsize is None: - subsize = 640 if bp.avgwave()<2.4 else 320 - if 'LWB' in mask: - x0=275; y0=1508 - elif 'SWB' in mask: - x0=171; y0=236 - elif '430R' in mask: - x0=916; y0=1502 - elif '335R' in mask: - x0=1238; y0=1502 - elif '210R' in mask: - x0=392; y0=224 - # Make sure subarray sizes don't push out of bounds - if (y0 + subsize) > 2048: y0 = 2048 - subsize - if (x0 + subsize) > 2048: x0 = 2048 - subsize - else: - x0 = 0; y0 = 0 - - if 'x0' not in kwargs: kwargs['x0']=x0 - if 'y0' not in kwargs: kwargs['y0']=y0 - - # Default subarray size of 160 - if subsize is None: subsize = 160 - - # Detector pixel scale and PSF oversample - detscale = channel_select(bp)[0] - oversample = 2 - pixscale_over = detscale / oversample - - #### Read in the image, then convert from mJy/arcsec^2 to photons/sec/pixel - - # if no FITs file is specified, then we only want a star - # with its flux placed in the central pixel - im = np.zeros([3,3]) - im[1,1] = 1.0 - - # Place image into an HDUlist - hdu = fits.PrimaryHDU(im) - hdulist = fits.HDUList([hdu]) - - # Rescale - hdulist[0].header['UNITS'] = 'photons/sec' - hdulist[0].header['DETSAMP'] = detscale - hdulist[0].header['OVERSAMP'] = oversample - hdulist[0].header['PIXSCALE'] = pixscale_over - hdulist[0].header['DISTANCE'] = dist_out - - im = hdulist[0].data - - sp = stellar_spectrum(sptype) - sp_norm = sp.renorm(star_kmag, 'vegamag', S.ObsBandpass('k')) - obs_temp = S.Observation(sp_norm, bp, binset=bp.wave) - _log.info('Modifying stellar flux from {:.2e} to {:.2e}'.\ - format(im[im==im.max()][0], obs_temp.countrate())) - im[im==im.max()] = obs_temp.countrate() - - _log.info('Model Oversample Shape: {}'.format(hdulist[0].data.shape)) - _log.info('Model Max Flux: {:.2e} {}'.format(hdulist[0].data.max(), hdulist[0].header['UNITS'])) - - # image needs to be expanded (or contracted) to subarray size - ypix = xpix = subsize - new_shape = (ypix*oversample, xpix*oversample) - hdulist[0].data = pad_or_cut_to_size(hdulist[0].data, new_shape) - _log.info('FoV Oversample Shape: {}'.format(hdulist[0].data.shape)) - - # Generate the model disk observation - return nrc_diskobs(hdulist, filter=filt, mask=mask, pupil=pupil, oversample=oversample, - xpix=xpix, ypix=ypix, **kwargs) - - -def _wrap_convolve_for_mp(args): - """ - Internal helper routine for parallelizing computations across multiple processors. - - Create a list of arguments to pass to this function: - worker_arguments = [(inst, image, rho, offset_list, i) for i,inst in enumerate(nrc_star_list)] - - Then create a theadpool: - pool = mp.Pool(nproc) - images = pool.map(_wrap_coeff_for_mp, worker_arguments) - pool.close() - images = np.array(images) - - For single processing, just use: - images = map(_wrap_convolve_for_mp, worker_arguments) - images = np.array(images) - - For multiprocessing: - """ - - psf_over, model, rho, offset_list, i = args - - noff = len(offset_list) - if noff==1: - r1 = 0; r2 = rho.max()+1 - elif i==0: - r1 = offset_list[i] - r2 = (offset_list[i] + offset_list[i+1])/2 - elif i==noff-1: - r1 = (offset_list[i] + offset_list[i-1])/2 - r2 = rho.max()+1. - else: - r1 = (offset_list[i] + offset_list[i-1])/2 - r2 = (offset_list[i] + offset_list[i+1])/2 - - #r1 = offset_list[i] - #r2 = offset_list[i+1] if i<(noff-1) else rho.max() - - - ind = (rho>=r1) & (rho= 3: + import builtins + else: + import __builtin__ as builtins + builtins._ASTROPY_SETUP_ = False + +try: + from .version import version as __version__ +except ImportError: + __version__ = '' +try: + from .version import githash as __githash__ +except ImportError: + __githash__ = '' + + +# set up the test command +def _get_test_runner(): + import os + from astropy.tests.helper import TestRunner + return TestRunner(os.path.dirname(__file__)) + + +def test(package=None, test_path=None, args=None, plugins=None, + verbose=False, pastebin=None, remote_data=False, pep8=False, + pdb=False, coverage=False, open_files=False, **kwargs): + """ + Run the tests using `py.test `__. A proper set + of arguments is constructed and passed to `pytest.main`_. + + .. _py.test: http://pytest.org/latest/ + .. _pytest.main: http://pytest.org/latest/builtin.html#pytest.main + + Parameters + ---------- + package : str, optional + The name of a specific package to test, e.g. 'io.fits' or 'utils'. + If nothing is specified all default tests are run. + + test_path : str, optional + Specify location to test by path. May be a single file or + directory. Must be specified absolutely or relative to the + calling directory. + + args : str, optional + Additional arguments to be passed to pytest.main_ in the ``args`` + keyword argument. + + plugins : list, optional + Plugins to be passed to pytest.main_ in the ``plugins`` keyword + argument. + + verbose : bool, optional + Convenience option to turn on verbose output from py.test_. Passing + True is the same as specifying ``'-v'`` in ``args``. + + pastebin : {'failed','all',None}, optional + Convenience option for turning on py.test_ pastebin output. Set to + ``'failed'`` to upload info for failed tests, or ``'all'`` to upload + info for all tests. + + remote_data : bool, optional + Controls whether to run tests marked with @remote_data. These + tests use online data and are not run by default. Set to True to + run these tests. + + pep8 : bool, optional + Turn on PEP8 checking via the `pytest-pep8 plugin + `_ and disable normal + tests. Same as specifying ``'--pep8 -k pep8'`` in ``args``. + + pdb : bool, optional + Turn on PDB post-mortem analysis for failing tests. Same as + specifying ``'--pdb'`` in ``args``. + + coverage : bool, optional + Generate a test coverage report. The result will be placed in + the directory htmlcov. + + open_files : bool, optional + Fail when any tests leave files open. Off by default, because + this adds extra run time to the test suite. Requires the + `psutil `_ package. + + parallel : int, optional + When provided, run the tests in parallel on the specified + number of CPUs. If parallel is negative, it will use the all + the cores on the machine. Requires the + `pytest-xdist `_ plugin + installed. Only available when using Astropy 0.3 or later. + + kwargs + Any additional keywords passed into this function will be passed + on to the astropy test runner. This allows use of test-related + functionality implemented in later versions of astropy without + explicitly updating the package template. + + """ + test_runner = _get_test_runner() + return test_runner.run_tests( + package=package, test_path=test_path, args=args, + plugins=plugins, verbose=verbose, pastebin=pastebin, + remote_data=remote_data, pep8=pep8, pdb=pdb, + coverage=coverage, open_files=open_files, **kwargs) + +if not _ASTROPY_SETUP_: # noqa + import os + from warnings import warn + from astropy.config.configuration import ( + update_default_config, + ConfigurationDefaultMissingError, + ConfigurationDefaultMissingWarning) + + # add these here so we only need to cleanup the namespace at the end + config_dir = None + + if not os.environ.get('ASTROPY_SKIP_CONFIG_UPDATE', False): + config_dir = os.path.dirname(__file__) + config_template = os.path.join(config_dir, __package__ + ".cfg") + if os.path.isfile(config_template): + try: + update_default_config( + __package__, config_dir, version=__version__) + except TypeError as orig_error: + try: + update_default_config(__package__, config_dir) + except ConfigurationDefaultMissingError as e: + wmsg = (e.args[0] + + " Cannot install default profile. If you are " + "importing from source, this is expected.") + warn(ConfigurationDefaultMissingWarning(wmsg)) + del e + except Exception: + raise orig_error diff --git a/pynrc/conftest.py b/pynrc/conftest.py new file mode 100644 index 00000000..6f86baf5 --- /dev/null +++ b/pynrc/conftest.py @@ -0,0 +1,46 @@ +# this contains imports plugins that configure py.test for astropy tests. +# by importing them here in conftest.py they are discoverable by py.test +# no matter how it is invoked within the source tree. + +from astropy.tests.pytest_plugins import * + +## Uncomment the following line to treat all DeprecationWarnings as +## exceptions. For Astropy v2.0 or later, there are 2 additional keywords, +## as follow (although default should work for most cases). +## To ignore some packages that produce deprecation warnings on import +## (in addition to 'compiler', 'scipy', 'pygments', 'ipykernel', and +## 'setuptools'), add: +## modules_to_ignore_on_import=['module_1', 'module_2'] +## To ignore some specific deprecation warning messages for Python version +## MAJOR.MINOR or later, add: +## warnings_to_ignore_by_pyver={(MAJOR, MINOR): ['Message to ignore']} +# enable_deprecations_as_exceptions() + +## Uncomment and customize the following lines to add/remove entries from +## the list of packages for which version numbers are displayed when running +## the tests. Making it pass for KeyError is essential in some cases when +## the package uses other astropy affiliated packages. +# try: +# PYTEST_HEADER_MODULES['Astropy'] = 'astropy' +# PYTEST_HEADER_MODULES['scikit-image'] = 'skimage' +# del PYTEST_HEADER_MODULES['h5py'] +# except (NameError, KeyError): # NameError is needed to support Astropy < 1.0 +# pass + +## Uncomment the following lines to display the version number of the +## package rather than the version number of Astropy in the top line when +## running the tests. +# import os +# +## This is to figure out the package version, rather than +## using Astropy's +# try: +# from .version import version +# except ImportError: +# version = 'dev' +# +# try: +# packagename = os.path.basename(os.path.dirname(__file__)) +# TESTED_VERSIONS[packagename] = version +# except NameError: # Needed to support Astropy <= 1.0.0 +# pass diff --git a/logging_utils.py b/pynrc/logging_utils.py similarity index 100% rename from logging_utils.py rename to pynrc/logging_utils.py diff --git a/pynrc/maths/__init__.py b/pynrc/maths/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pynrc/maths/coords.py b/pynrc/maths/coords.py new file mode 100644 index 00000000..6674952e --- /dev/null +++ b/pynrc/maths/coords.py @@ -0,0 +1,169 @@ +from __future__ import absolute_import, division, print_function, unicode_literals + +#__all__ = ['pad_or_cut_to_size', 'frebin', \ +# 'fshift', 'fourier_imshift', 'shift_subtract', 'align_LSQ'] +import numpy as np +import logging +_log = logging.getLogger('pynrc') + +__epsilon = np.finfo(float).eps + +def dist_image(image, pixscale=None, center=None, return_theta=False): + """ + Returns radial distance in units of pixels, unless pixscale is specified. + Use the center keyword to specify the position (in pixels) to measure from. + If not set, then the center of the image is used. + + return_theta will also return the angular position of each pixel relative + to the specified center + + center should be entered as (x,y) + """ + y, x = np.indices(image.shape) + if center is None: + center = tuple((a - 1) / 2.0 for a in image.shape[::-1]) + x = x - center[0] + y = y - center[1] + + rho = np.sqrt(x**2 + y**2) + if pixscale is not None: rho *= pixscale + + if return_theta: + return rho, np.arctan2(-x,y)*180/np.pi + else: + return rho + +def xy_to_rtheta(x, y): + """ + Input (x,y) coordinates and return polar cooridnates that use + the WebbPSF convention (theta is CCW of +Y) + + Input can either be a single value or numpy array. + """ + r = np.sqrt(x**2 + y**2) + theta = np.arctan2(-x,y)*180/np.pi + + if np.size(r)==1: + if np.abs(x) < __epsilon: x = 0 + if np.abs(y) < __epsilon: y = 0 + else: + r[np.abs(r) < __epsilon] = 0 + theta[np.abs(theta) < __epsilon] = 0 + + return r, theta + +def rtheta_to_xy(r, theta): + """ + Input polar cooridnates (WebbPSF convention) and return Carteesian coords + in the imaging coordinate system (as opposed to RA/DEC) + + Input can either be a single value or numpy array. + + r : Radial offset from the center in pixels + theta : Position angle for offset in degrees CCW (+Y). + """ + x = -r * np.sin(theta*np.pi/180.) + y = r * np.cos(theta*np.pi/180.) + + if np.size(x)==1: + if np.abs(x) < __epsilon: x = 0 + if np.abs(y) < __epsilon: y = 0 + else: + x[np.abs(x) < __epsilon] = 0 + y[np.abs(y) < __epsilon] = 0 + + return x, y + +def xy_rot(x, y, ang): + + """ + Rotate (x,y) values by some angle. + Positive ang values rotate counter-clockwise. + """ + + r, theta = xy_to_rtheta(x, y) + return rtheta_to_xy(r, theta+ang) + +########################################################################### +# +# Coordinate Systems +# +########################################################################### + +def det_to_V2V3(image, detid): + """ + Reorient image from detector coordinates to V2/V3 coordinate system. + This places +V3 up and +V2 to the LEFT. Detector pixel (0,0) is assumed + to be in the bottom left. For now, we're simply performing axes flips. + """ + + # Check if SCA ID (481-489) where passed through detname rather than A1-B5 + try: + detid = int(detid) + except ValueError: + detname = detid + else: + scaids = {481:'A1', 482:'A2', 483:'A3', 484:'A4', 485:'A5', + 486:'B1', 487:'B2', 488:'B3', 489:'B4', 490:'B5'} + detname = scaids[detid] + + xflip = ['A1','A3','A5','B2','B4'] + yflip = ['A2','A4','B1','B3','B5'] + + for s in xflip: + if detname in s: + image = image[:,::-1] + for s in yflip: + if detname in s: + image = image[::-1,:] + + return image + +def V2V3_to_det(image, detid): + """ + Reorient image from V2/V3 coordinates to detector coordinate system. + Assumes +V3 up and +V2 to the LEFT. The result plances the detector + pixel (0,0) in the bottom left. For now, we're simply performing + axes flips. + """ + + # Flips occur along the same axis and manner as in det_to_V2V3() + return det_to_V2V3(image, detid) + + +def plotAxes(ax, position=(0.9,0.1), label1='V2', label2='V3', dir1=[-1,0], dir2=[0,1], + angle=0, alength=0.12, width=2, headwidth=8, color='w'): + """ + Show V2/V3 coordinate axis on a plot. By default, this function will plot + the compass arrows in the lower right position in sky-right coordinates + (ie., North/V3 up, and East/V2 to the left). + + Parameters + ========== + ax - matplotlib axis to plot coordiante arrows. + position - XY-location of joined arrows as a fraction (0.0-1.0). + label1 - Label string for horizontal axis (ie., 'E' or 'V2'). + label2 - Label string for vertical axis (ie, 'N' or 'V3'). + dir1 - XY-direction values to point "horizontal" arrow. + dir2 - XY-direction values to point "vertical" arrow. + angle - Rotate coordinate axis by some angle. + Positive values rotate counter-clockwise. + + alength - Length of arrow vectors as fraction of plot axis. + width - Width of the arrow in points. + headwidth - Width of the base of the arrow head in points. + color - Self-explanatory. + """ + arrowprops={'color':color, 'width':width, 'headwidth':headwidth} + + dir1 = xy_rot(dir1[0], dir1[1], angle) + dir2 = xy_rot(dir2[0], dir2[1], angle) + + + for (label, direction) in zip([label1,label2], np.array([dir1,dir2])): + ax.annotate("", xytext=position, xy=position + alength * direction, + xycoords='axes fraction', arrowprops=arrowprops) + textPos = position + alength * direction*1.3 + ax.text(textPos[0], textPos[1], label, transform=ax.transAxes, + horizontalalignment='center', verticalalignment='center', + color=color, fontsize=12) diff --git a/pynrc/maths/fast_poly.py b/pynrc/maths/fast_poly.py new file mode 100644 index 00000000..f41e7509 --- /dev/null +++ b/pynrc/maths/fast_poly.py @@ -0,0 +1,120 @@ +from __future__ import absolute_import, division, print_function, unicode_literals + +import numpy as np +#import logging +#_log = logging.getLogger('pynrc') + +def jl_poly(xvals, coeff, dim_reorder=False): + """ + Replacement for np.polynomial.polynomial.polyval(wgood, coeff) + to evaluate y-values given a set of xvals and coefficients. + Uses matrix multiplication, which is much faster. Beware, the + default output array shapes organization may differ from the + polyval routine for 2D and 3D results. + + Inputs: + xvals - 1D array (time, for instance) + coeff - 1D, 2D, or 3D array of coefficients from a polynomial fit. + The first dimension should have a number of elements equal + to the polynomial degree + 1. Order such that lower degrees + are first, and higher degrees are last. + dim_reorder - Reorder output shape to mimic the polyval routine, + where the first dimensions correspond to the coeff latter + dimensions, and the final dimension is equal to the number + of xvals. + + Returns: + An array of values where each xval has been evaluated at each + set of supplied coefficients. The output shape has the first + dimension equal to the number of xvals, and the final dimensions + correspond to coeff's latter dimensions. The result is flattened + if there is either only one xval or one set of coeff (or both). + """ + + # How many xvals? + n = np.size(xvals) + xdim = len(xvals.shape) + if xdim>1: + raise ValueError('xvals can only have 1 dimension. Found {} dimensions.'.format(xdim)) + + # Check number of dimensions in coefficients + dim = coeff.shape + ndim = len(dim) + if ndim>3: + raise ValueError('coefficient can only have 1, 2, or 3 dimensions. Found {} dimensions.'.format(ndim)) + + # Create an array of exponent values + parr = np.arange(dim[0], dtype='float') + # If 3D, this reshapes xfan to 2D + xfan = xvals**parr.reshape((-1,1)) # Array broadcasting + + # Reshape coeffs to 2D array + cf = coeff.reshape(dim[0],-1) + if not dim_reorder: + # This is the Python preferred ordering + # Coefficients are assumed (deg+1,ny,nx) + # xvals have length nz + # Result to be order (nz,ny,nx) + yfit = np.dot(xfan.T,cf) + + if ndim==1 or n==1: yfit = yfit.flatten() + if ndim==3: yfit = yfit.reshape((n,dim[1],dim[2])) + else: + # Coefficients are assumed (deg+1,nx,ny) + # xvals have length nz + # Result to be order (nx,ny,nz) + yfit = np.dot(cf.T, xfan) + + if ndim==1 or n==1: yfit = yfit.flatten() + if ndim==3: yfit = yfit.reshape((dim[1],dim[2],n)) + + return yfit + + +def jl_poly_fit(x, yvals, deg=1, QR=True): + """ + Fit a polynomial to a function using linear least-squares. + + Gives the option of performing QR decomposition, which provides + a considerable speed-up compared to simply using np.linalg.lstsq(). + In addition to being fast, it has better numerical stability than + linear regressions that involve matrix inversions (ie., dot(x.T,x)). + + Returns the coefficients of the fit for each pixel. + + # Example: Fit all pixels in a data cube to get slope image + # in terms of ADU/sec + nz, ny, nx = cube.shape + tvals = (np.arange(nz) + 1) * 10.737 + slope = jl_poly_fit(tvals, cube) + """ + + orig_shape = yvals.shape + ndim = len(orig_shape) + + cf_shape = list(yvals.shape) + cf_shape[0] = deg+1 + + if ndim==1: + assert len(x)==len(yvals), 'X and Y must have the same length' + else: + assert len(x)==orig_shape[0], 'X and Y.shape[0] must have the same length' + + a = np.array([x**num for num in range(deg+1)], dtype='float') + b = yvals.reshape([orig_shape[0],-1]) + + # Fast method, but numerically unstable for overdetermined systems + #cov = np.linalg.pinv(np.dot(a,a.T)) + #coeff_all = np.dot(cov,np.dot(a,b)) + + if QR: + # Perform QR decomposition of the A matrix + q, r = np.linalg.qr(a.T, 'reduced') + # computing Q^T*b (project b onto the range of A) + qTb = np.dot(q.T, b) + # solving R*x = Q^T*b + coeff_all, _, _, _ = np.linalg.lstsq(r, qTb) + else: + coeff_all, _, _, _ = np.linalg.lstsq(a.T, b) + + return coeff_all.reshape(cf_shape) diff --git a/pynrc/maths/image_manip.py b/pynrc/maths/image_manip.py new file mode 100644 index 00000000..17b66702 --- /dev/null +++ b/pynrc/maths/image_manip.py @@ -0,0 +1,842 @@ +from __future__ import absolute_import, division, print_function, unicode_literals + +# The six library is useful for Python 2 and 3 compatibility +import six + +#__all__ = ['pad_or_cut_to_size', 'frebin', \ +# 'fshift', 'fourier_imshift', 'shift_subtract', 'align_LSQ'] +import numpy as np +import logging +_log = logging.getLogger('pynrc') + +from poppy.utils import krebin + +from pynrc.maths.coords import dist_image +#from pynrc.nrc_utils import (hist_indices, binned_statistics) +# igroups = hist_indices(rho_good, bins) +# nbins = len(igroups) + + # Standard deviation for each bin +# std1 = binned_statistic(igroups, diff1_good, func=std_func) + + +from scipy.optimize import least_squares#, leastsq +from scipy.ndimage import fourier_shift + +from astropy.io import fits + + +def pad_or_cut_to_size(array, new_shape): + """ + Resize an array to a new shape by either padding with zeros + or trimming off rows and/or columns. The ouput shape can + be of any arbitrary amount. + + Parameters + ---------- + array : ndarray + A 1D or 2D array representing some image + padded_shape : tuple of 2 elements + Desired size for the output array. For 2D case, if a single value, + then will create a 2-element tuple of the same value. + + Returns + ------- + output : ndarray + An array of size new_shape that preserves the central information + of the input array. + """ + + ndim = len(array.shape) + if ndim == 1: + is_1d = True + # Reshape array to a 2D array with nx=1 + array = array.reshape((-1,1)) + ny, nx = array.shape + if isinstance(new_shape, float) or isinstance(new_shape, int): + ny_new = int(round(new_shape)) + nx_new = 1 + new_shape = (ny_new, nx_new) + elif len(new_shape) < 2: + ny_new = nx_new = new_shape[0] + new_shape = (ny_new, nx_new) + else: + ny_new = new_shape[0] + nx_new = new_shape[1] + output = np.zeros(shape=new_shape, dtype=array.dtype) + elif ndim == 2: + is_1d = False + ny, nx = array.shape + if isinstance(new_shape, float) or isinstance(new_shape, int): + ny_new = nx_new = int(round(new_shape)) + new_shape = (ny_new, nx_new) + elif len(new_shape) < 2: + ny_new = nx_new = new_shape[0] + new_shape = (ny_new, nx_new) + else: + ny_new = new_shape[0] + nx_new = new_shape[1] + output = np.zeros(shape=new_shape, dtype=array.dtype) + else: + raise ValueError('Input image can only have 1 or 2 dimensions. \ + Found {} dimensions.'.format(ndim)) + + if nx_new>nx: + n0 = (nx_new - nx) // 2 + n1 = n0 + nx + elif nx>nx_new: + n0 = (nx - nx_new) // 2 + n1 = n0 + nx_new + else: + n0 = 0; n1 = nx + n0 = int(round(n0)) + n1 = int(round(n1)) + + if ny_new>ny: + m0 = (ny_new - ny) // 2 + m1 = m0 + ny + elif ny>ny_new: + m0 = (ny - ny_new) // 2 + m1 = m0 + ny_new + else: + m0 = 0; m1 = ny + m0 = int(round(m0)) + m1 = int(round(m1)) + + if (nx_new>=nx) and (ny_new>=ny): + #print('Case 1') + output[m0:m1,n0:n1] = array + elif (nx_new<=nx) and (ny_new<=ny): + #print('Case 2') + output = array[m0:m1,n0:n1] + elif (nx_new<=nx) and (ny_new>=ny): + #print('Case 3') + output[m0:m1,:] = array[:,n0:n1] + elif (nx_new>=nx) and (ny_new<=ny): + #print('Case 4') + output[:,n0:n1] = array[m0:m1,:] + + # Flatten if input and output arrays are 1D + if (ndim==1) and (nx_new==1): + output = output.flatten() + + return output + + +def fshift(image, delx=0, dely=0, pad=False): + """ + Ported from IDL function fshift.pro. + Routine to shift an image by non-integer values. + + INPUTS: + image - 2D image to be shifted + delx - shift in x (same direction as IDL SHIFT function) + dely - shift in y + pad - Should we pad the array before shifting, then truncate? + Otherwise, the image is wrapped. + OUTPUTS: + shifted image is returned as the function results + + """ + + if len(image.shape) == 1: + # separate shift into an integer and fraction shift + intx = np.int(delx) + fracx = delx - intx + if fracx < 0: + fracx += 1 + intx -= 1 + + # Pad ends with zeros + if pad: + padx = np.abs(intx) + 1 + x = np.pad(image,np.abs(intx),'constant') + else: + padx = 0 + x = image.copy() + + # shift by integer portion + x = np.roll(x, intx) + # if significant fractional shift... + if not np.isclose(fracx, 0, atol=1e-5): + x = x * (1.-fracx) + np.roll(x,1) * fracx + + x = x[padx:padx+image.size] + return x + + elif len(image.shape) == 2: + # separate shift into an integer and fraction shift + intx = np.int(delx) + inty = np.int(dely) + fracx = delx - intx + fracy = dely - inty + if fracx < 0: + fracx += 1 + intx -= 1 + if fracy < 0: + fracy += 1 + inty -= 1 + + # Pad ends with zeros + if pad: + padx = np.abs(intx) + 1 + pady = np.abs(inty) + 1 + pad_vals = ([pady]*2,[padx]*2) + x = np.pad(image,pad_vals,'constant') + else: + padx = 0; pady = 0 + x = image.copy() + + # shift by integer portion + x = np.roll(np.roll(x, intx, axis=1), inty, axis=0) + + # Check if fracx and fracy are effectively 0 + fxis0 = np.isclose(fracx,0, atol=1e-5) + fyis0 = np.isclose(fracy,0, atol=1e-5) + # If fractional shifts are significant + # use bi-linear interpolation between four pixels + if not (fxis0 and fyis0): + # Break bi-linear interpolation into four parts + # to avoid NaNs unnecessarily affecting integer shifted dimensions + x1 = x * ((1-fracx)*(1-fracy)) + x2 = 0 if fyis0 else np.roll(x,1,axis=0)*((1-fracx)*fracy) + x3 = 0 if fxis0 else np.roll(x,1,axis=1)*((1-fracy)*fracx) + x4 = 0 if (fxis0 or fyis0) else np.roll(np.roll(x, 1, axis=1), 1, axis=0) * fracx*fracy + + x = x1 + x2 + x3 + x4 + + x = x[pady:pady+image.shape[0], padx:padx+image.shape[1]] + return x + + + #if not np.allclose([fracx,fracy], 0, atol=1e-5): + # x = x * ((1-fracx)*(1-fracy)) + \ + # np.roll(x,1,axis=0) * ((1-fracx)*fracy) + \ + # np.roll(x,1,axis=1) * (fracx*(1-fracy)) + \ + # np.roll(np.roll(x, 1, axis=1), 1, axis=0) * fracx*fracy + + #x = x[pady:pady+image.shape[0], padx:padx+image.shape[1]] + #return x + + else: + raise ValueError('Input image can only have 1 or 2 dimensions. \ + Found {} dimensions.'.format(len(image.shape))) + + +def fourier_imshift(image, xshift, yshift, pad=False): + ''' + Shift an image by use of Fourier shift theorem + Parameters: + image : nd array + N x K image + xshift : float + Pixel value by which to shift image in the x direction + yshift : float + Pixel value by which to shift image in the x direction + pad : bool + Should we pad the array before shifting, then truncate? + Otherwise, the image is wrapped. + Returns: + offset : nd array + Shifted image + ''' + # Pad ends with zeros + if pad: + padx = np.abs(np.int(xshift)) + 1 + pady = np.abs(np.int(yshift)) + 1 + pad_vals = ([pady]*2,[padx]*2) + im = np.pad(image,pad_vals,'constant') + else: + padx = 0; pady = 0 + im = image + + offset = fourier_shift( np.fft.fft2(im), (yshift,xshift) ) + offset = np.fft.ifft2(offset).real + + offset = offset[pady:pady+image.shape[0], padx:padx+image.shape[1]] + + return offset + +def shift_subtract(params, reference, target, mask=None, pad=False, + shift_function=fshift): + ''' + Use Fourier Shift theorem for subpixel shifts for + input into least-square optimizer. + + Parameters: + params : tuple + xshift, yshift, beta + reference : nd array + See align_fourierLSQ + target : nd array + See align_fourierLSQ + mask : nd array, optional + See align_fourierLSQ + pad : bool + Should we pad the array before shifting, then truncate? + Otherwise, the image is wrapped. + + shift_function : which function to use for sub-pixel shifting + + Returns: + 1D nd array of target-reference residual after + applying shift and intensity fraction. + ''' + xshift, yshift, beta = params + + if shift_function is not None: + offset = shift_function(reference, xshift, yshift, pad) + else: + offset = reference + + if mask is not None: + return ( (target - beta * offset) * mask ).ravel() #.flatten() + else: + return ( target - beta * offset ).ravel() #.flatten() + +def align_LSQ(reference, target, mask=None, pad=False, + shift_function=fshift): + ''' + LSQ optimization with option of shift alignment algorithm + + Parameters: + reference : nd array + N x K image to be aligned to + target : nd array + N x K image to align to reference + mask : nd array, optional + N x K image indicating pixels to ignore when + performing the minimization. The masks acts as + a weighting function in performing the fit. + shift_function : which function to use for sub-pixel shifting. + Options are fourier_imshift or fshift. + fshift tends to be 3-5 times faster for similar results. + Returns: + results : list + [x, y, beta] values from LSQ optimization, where (x, y) + are the misalignment of target from reference and beta + is the fraction by which the target intensity must be + reduced to match the intensity of the reference. + ''' + + init_pars = [0.0, 0.0, 1.0] + + # Use loss='soft_l1' for least squares robust against outliers + # May want to play around with f_scale... + res = least_squares(shift_subtract, init_pars, diff_step=0.1, + loss='soft_l1', f_scale=1.0, args=(reference,target), + kwargs={'mask':mask,'pad':pad,'shift_function':shift_function}) + out = res.x + #out,_ = leastsq(shift_subtract, init_pars, + # args=(reference,target,mask,pad,shift_function)) + + results = [out[0],out[1],out[2]] #x,y,beta + return res.x + + +def frebin(image, dimensions=None, scale=None, total=True): + """ + Python port from the IDL frebin.pro + Shrink or expand the size of a 1D or 2D array by an arbitary amount + using bilinear interpolation. Conserves flux by ensuring that each + input pixel is equally represented in the output array. + + Parameters + ========== + image : Input image, 1-d or 2-d ndarray + dimensions : Size of output array (take priority over scale) + scale : Factor to scale output array + total : Conserves the surface flux. If True, the output pixels + will be the sum of pixels within the appropriate box of + the input image. Otherwise, they will be the average. + + Returns the binned ndarray + """ + + if dimensions is not None: + if isinstance(dimensions, float): + dimensions = [int(dimensions)] * len(image.shape) + elif isinstance(dimensions, int): + dimensions = [dimensions] * len(image.shape) + elif len(dimensions) != len(image.shape): + raise RuntimeError("The number of input dimensions don't match the image shape.") + elif scale is not None: + if isinstance(scale, float) or isinstance(scale, int): + dimensions = map(int, map(round, map(lambda x: x*scale, image.shape))) + elif len(scale) != len(image.shape): + raise RuntimeError("The number of input dimensions don't match the image shape.") + else: + dimensions = [scale[i]*image.shape[i] for i in range(len(scale))] + else: + raise RuntimeError('Incorrect parameters to rebin.\n\frebin(image, dimensions=(x,y))\n\frebin(image, scale=a') + #print(dimensions) + + + shape = image.shape + if len(shape)==1: + nlout = 1 + nsout = dimensions[0] + nsout = int(round(nsout)) + dimensions = [nsout] + elif len(shape)==2: + nlout, nsout = dimensions + nlout = int(round(nlout)) + nsout = int(round(nsout)) + dimensions = [nlout, nsout] + if len(shape) > 2: + raise ValueError('Input image can only have 1 or 2 dimensions. Found {} dimensions.'.format(len(shape))) + + + if nlout != 1: + nl = shape[0] + ns = shape[1] + else: + nl = nlout + ns = shape[0] + + sbox = ns / float(nsout) + lbox = nl / float(nlout) + #print(sbox,lbox) + + # Contract by integer amount + if (sbox.is_integer()) and (lbox.is_integer()): + image = image.reshape((nl,ns)) + result = krebin(image, (nlout,nsout)) + if not total: result /= (sbox*lbox) + if nl == 1: + return result[0,:] + else: + return result + + ns1 = ns - 1 + nl1 = nl - 1 + + if nl == 1: + #1D case + _log.debug("Rebinning to Dimension: %s" % nsout) + result = np.zeros(nsout) + for i in range(nsout): + rstart = i * sbox + istart = int(rstart) + rstop = rstart + sbox + + if int(rstop) < ns1: + istop = int(rstop) + else: + istop = ns1 + + frac1 = float(rstart) - istart + frac2 = 1.0 - (rstop - istop) + + #add pixel values from istart to istop and subtract fraction pixel + #from istart to rstart and fraction pixel from rstop to istop + result[i] = np.sum(image[istart:istop + 1]) - frac1 * image[istart] - frac2 * image[istop] + + if total: + return result + else: + return result / (float(sbox) * lbox) + else: + _log.debug("Rebinning to Dimensions: %s, %s" % tuple(dimensions)) + #2D case, first bin in second dimension + temp = np.zeros((nlout, ns)) + result = np.zeros((nsout, nlout)) + + #first lines + for i in range(nlout): + rstart = i * lbox + istart = int(rstart) + rstop = rstart + lbox + + if int(rstop) < nl1: + istop = int(rstop) + else: + istop = nl1 + + frac1 = float(rstart) - istart + frac2 = 1.0 - (rstop - istop) + + if istart == istop: + temp[i, :] = (1.0 - frac1 - frac2) * image[istart, :] + else: + temp[i, :] = np.sum(image[istart:istop + 1, :], axis=0) -\ + frac1 * image[istart, :] - frac2 * image[istop, :] + + temp = np.transpose(temp) + + #then samples + for i in range(nsout): + rstart = i * sbox + istart = int(rstart) + rstop = rstart + sbox + + if int(rstop) < ns1: + istop = int(rstop) + else: + istop = ns1 + + frac1 = float(rstart) - istart + frac2 = 1.0 - (rstop - istop) + + if istart == istop: + result[i, :] = (1. - frac1 - frac2) * temp[istart, :] + else: + result[i, :] = np.sum(temp[istart:istop + 1, :], axis=0) -\ + frac1 * temp[istart, :] - frac2 * temp[istop, :] + + if total: + return np.transpose(result) + else: + return np.transpose(result) / (sbox * lbox) + + +# Fix NaN values +def fix_nans_with_med(im, niter_max=5, verbose=False): + """Iteratively fix NaNs with surrounding Real data""" + sh_orig = im.shape + + nan_mask = np.isnan(im) + n_nans = np.where(nan_mask)[0].size + if verbose: print('{} NaNs to start'.format(n_nans)) + + for ii in range(niter_max): + im = im.flatten() + nan_mask = np.isnan(im) + im = im.reshape(sh_orig) + + # Return if we no NaNs + if not np.any(nan_mask): return im + + if verbose: print('Iter {}'.format(ii)) + + # Shift + im_smth = [] + for i in np.arange(-1,2): + for j in np.arange(-1,2): + im_smth.append(fshift(im, i, j)) + im_smth = np.array(im_smth) + + # Flatten arrays for indexing of NaNs + im_smth = im_smth.reshape([im_smth.shape[0],-1]) + im = im.flatten() + + # Take median of only the NaN'ed pixels + im[nan_mask] = np.nanmedian(im_smth[:,nan_mask], axis=0) + im = im.reshape(sh_orig) + + nan_mask = np.isnan(im) + if np.any(nan_mask): + n_nans = np.where(nan_mask)[0].size + print('{} NaNs left after {} iterations.'.format(n_nans, niter_max)) + + return im + + +def image_rescale(HDUlist_or_filename, args_in, args_out, cen_star=True): + """ + Scale the flux and rebin the image with a give pixel scale and distance + to some output pixel scale and distance. The object's physical units (AU) + are assumed to be constant, so the angular size changes if the distance + to the object changes. + + IT IS RECOMMENDED THAT UNITS BE IN PHOTONS/SEC/PIXEL (not mJy/arcsec) + + Parameters + ========== + args_in : Two parameters consisting of the input image pixel scale and distance + assumed to be in units of arcsec/pixel and parsecs, respectively + args_out : Same as above, but the new desired outputs + cen_star : Is the star placed in the central pixel? + + Returns an HDUlist of the new image + """ + im_scale, dist = args_in + pixscale_out, dist_new = args_out + + if isinstance(HDUlist_or_filename, six.string_types): + hdulist = fits.open(HDUlist_or_filename) + elif isinstance(HDUlist_or_filename, fits.HDUList): + hdulist = HDUlist_or_filename + else: + raise ValueError("Input must be a filename or HDUlist") + + # By moving the image closer, we increased the flux (inverse square law) + image = (hdulist[0].data) * (dist / dist_new)**2 + #hdulist.close() + + # We also increased the angle that the image subtends + # So, each pixel would have a large angular size + # New image scale in arcsec/pixel + imscale_new = im_scale * dist / dist_new + + # Before rebinning, we want the flux in the central pixel to + # always be in the central pixel (the star). So, let's save + # and remove that flux then add back after the rebinning. + if cen_star: + mask_max = image==image.max() + star_flux = image[mask_max][0] + image[mask_max] = 0 + + # Rebin the image to get a pixel scale that oversamples the detector pixels + fact = imscale_new / pixscale_out + image_new = frebin(image, scale=fact) + + # Restore stellar flux to the central pixel. + ny,nx = image_new.shape + if cen_star: + image_new[ny//2, nx//2] += star_flux + + hdu_new = fits.PrimaryHDU(image_new) + hdu_new.header = hdulist[0].header.copy() + hdulist_new = fits.HDUList([hdu_new]) + hdulist_new[0].header['PIXELSCL'] = (pixscale_out, 'arcsec/pixel') + hdulist_new[0].header['DISTANCE'] = (dist_new, 'parsecs') + + return hdulist_new + + +def scale_ref_image(im1, im2, mask=None, smooth_imgs=False, + return_shift_values=False): + """ + Find value to scale a reference image by minimizing residuals. + This assumed everything is already aligned. Or simply turn on + return_shift_values to return (dx,dy,scl). Then fshift(im2,dx,dy) + to shift the reference image. + + Inputs + ====== + im1 - Science star observation. + im2 - Reference star observation. + mask - Use this mask to exclude pixels for performing standard deviation. + Boolean mask where True is included and False is excluded + smooth_imgs - Smooth the images with nearest neighbors to remove bad pixels. + return_shift_values - Option to return x and y shift values + """ + + # Mask for generating standard deviation + if mask is None: + mask = np.ones(im1.shape, dtype=np.bool) + nan_mask = ~(np.isnan(im1) | np.isnan(im2)) + mask = (mask & nan_mask) + + # Spatial averaging to remove bad pixels + if smooth_imgs: + im1_smth = []#np.zeros_like(im1) + im2_smth = []#np.zeros_like(im2) + for i in [-1,0,1]: + for j in [-1,0,1]: + im1_smth.append(fshift(im1, i, j)) + im2_smth.append(fshift(im2, i, j)) + + im1 = np.nanmedian(np.array(im1_smth), axis=0) + im2 = np.nanmedian(np.array(im2_smth), axis=0) + + # Perform linear least squares fit on difference function + if return_shift_values: + return align_LSQ(im2[mask], im1[mask], shift_function=fshift) + else: + _, _, scl = align_LSQ(im2[mask], im1[mask], shift_function=None) + return scl + +### ind = np.where(im1==im1[mask].max()) +### ind = [ind[0][0], ind[1][0]] +### +### # Initial Guess +### scl = np.nanmean(im1[ind[0]-3:ind[0]+3,ind[1]-3:ind[1]+3]) / \ +### np.nanmean(im2[ind[0]-3:ind[0]+3,ind[1]-3:ind[1]+3]) +### +### # Wider range +### # Check a range of scale values +### # Want to minimize the standard deviation of the differenced images +### scl_arr = np.linspace(0.2*scl,2*scl,10) +### mad_arr = [] +### for val in scl_arr: +### diff = im1 - val*im2 +### mad_arr.append(robust.medabsdev(diff[mask])) +### mad_arr = np.array(mad_arr) +### scl = scl_arr[mad_arr==mad_arr.min()][0] +### +### # Check a range of scale values +### # Want to minimize the standard deviation of the differenced images +### scl_arr = np.linspace(0.85*scl,1.15*scl,50) +### mad_arr = [] +### for val in scl_arr: +### diff = im1 - val*im2 +### mad_arr.append(robust.medabsdev(diff[mask])) +### mad_arr = np.array(mad_arr) +### +### #plt.plot(scl_arr,mad_arr) +### return scl_arr[mad_arr==mad_arr.min()][0] + + +def optimal_difference(im_sci, im_ref, scale, binsize=1, center=None, + mask_good=None, sub_mean=True, std_func=np.std): + """ + Scale factors from scale_ref_image work great for subtracting + a reference PSF from a science image where there are plenty + of photons, but perform poorly in the noise-limited regime. If + we simply perform a difference by scaling the reference image, + then we also amplify the noise. In the background, it's better to + simply subtract the unscaled reference pixels. This routine finds + the radial cut-off of the dominant noise source. + """ + + diff1 = im_sci - im_ref + diff2 = im_sci - im_ref * scale + + rho = dist_image(im_sci, center=center) + + # Only perform operations on pixels where mask_good=True + if mask_good is None: + mask_good = np.ones(rho.shape, dtype=np.bool) + nan_mask1 = np.isnan(diff1) + nan_mask2 = np.isnan(diff2) + mask_good = mask_good & (~nan_mask1) & (~nan_mask2) + + rho_good = rho[mask_good] + diff1_good = diff1[mask_good] + diff2_good = diff2[mask_good] + + # Get the histogram indices + bins = np.arange(rho_good.min(), rho_good.max() + binsize, binsize) + igroups = hist_indices(rho_good, bins) + nbins = len(igroups) + + # Standard deviation for each bin + std1 = binned_statistic(igroups, diff1_good, func=std_func) + std2 = binned_statistic(igroups, diff2_good, func=std_func) + + # Subtract the mean at each radius + if sub_mean: + med1 = binned_statistic(igroups, diff1_good, func=np.median) + med2 = binned_statistic(igroups, diff2_good, func=np.median) + for i in range(nbins): + diff1_good[igroups[i]] -= med1[i] + diff2_good[igroups[i]] -= med2[i] + + # Replace values in diff1 with better ones in diff2 + ibin_better = np.where(std2 < std1)[0] + for ibin in ibin_better: + diff1_good[igroups[ibin]] = diff2_good[igroups[ibin]] + + diff1[mask_good] = diff1_good + return diff1 + + +def hist_indices(values, bins=10, return_more=False): + """ + This function bins an input of values and returns the indices for + each bin. This is similar to the reverse indices functionality + of the IDL histogram routine. It's also much faster than doing + a for loop and creating masks/indice at each iteration, because + we utilize a sparse matrix constructor. It's kinda magical... + + Returns of a list of indices grouped together according to the bin. + Only works for evenly spaced bins. + + Parameters + ========== + values - Input numpy array. Should be a single dimension. + bins - If bins is an int, it defines the number of equal-width bins + in the given range (10, by default). If bins is a sequence, + it defines the bin edges, including the rightmost edge. + + return_more - Option to also return the values organized by bin and + the value of the centers (igroups, vgroups, center_vals). + + Example + ========== + # Find the standard deviation at each radius of an image + rho = dist_image(image) + binsize = 1 + bins = np.arange(rho.min(), rho.max() + binsize, binsize) + igroups, vgroups, center_vals = hist_indices(rho, bins, True) + # Get the standard deviation of image at each bin + std = binned_statistic(igroups, image, np.std) + + """ + + from scipy.sparse import csr_matrix + + values_flat = values.ravel() + + v0 = values_flat.min() + v1 = values_flat.max() + N = len(values_flat) + + try: # if bins is an integer + binsize = (v1 - v0) / bins + bins = np.arange(v0, v1 + binsize, binsize) + except: # otherwise assume it's already an array + binsize = bins[1] - bins[0] + + # Central value of each bin + center_vals = bins[:-1] + binsize / 2. + nbins = center_vals.size + + digitized = ((nbins-1.0) / (v1-v0) * (values_flat-v0)).astype(np.int) + csr = csr_matrix((values_flat, [digitized, np.arange(N)]), shape=(nbins, N)) + + # Split indices into their bin groups + igroups = np.split(csr.indices, csr.indptr[1:-1]) + + if return_more: + vgroups = np.split(csr.data, csr.indptr[1:-1]) + return (igroups, vgroups, center_vals) + else: + return igroups + + +def binned_statistic(x, values, func=np.mean, bins=10): + """ + Compute a binned statistic for a set of data. Drop-in replacement + for scipy.stats.binned_statistic. + + Parameters + ========== + x - A sequence of values to be binned. Or a list of binned + indices from hist_indices(). + values - The values on which the statistic will be computed. + func - The function to use for calculating the statistic. + bins - If bins is an int, it defines the number of equal-width bins + in the given range (10, by default). If bins is a sequence, + it defines the bin edges, including the rightmost edge. + This doens't do anything if x is a list of indices. + + Example + ========== + # Find the standard deviation at each radius of an image + rho = dist_image(image) + binsize = 1 + bins = np.arange(rho.min(), rho.max() + binsize, binsize) + igroups, vgroups, center_vals = hist_indices(rho, bins, True) + # Get the standard deviation of image at each bin + std = binned_statistic(igroups, image, np.std) + + """ + + values_flat = values.ravel() + + try: # This will be successful if x is not already a list of indices + + # Check if bins is a single value + if (len(np.array(bins))==1) and (bins is not None): + igroups = hist_indices(x, bins) + res = np.array([func(values_flat[ind]) for ind in igroups]) + # Otherwise we assume bins is a list or array defining edge locations + else: + bins = np.array(bins) + # Check if binsize is the same for all bins + bsize = bins[1:] - bins[:-1] + if np.isclose(bsize.min(), bsize.max()): + igroups = hist_indices(x, bins) + res = np.array([func(values_flat[ind]) for ind in igroups]) + else: + # If non-uniform bins, just use scipy.stats.binned_statistic + from scipy import stats + res, _, _ = stats.binned_statistic(x, values, func, bins) + except: + igroups = x + res = np.array([func(values_flat[ind]) for ind in igroups]) + + return res diff --git a/robust.py b/pynrc/maths/robust.py similarity index 74% rename from robust.py rename to pynrc/maths/robust.py index 7e28f8d7..0e9135d2 100644 --- a/robust.py +++ b/pynrc/maths/robust.py @@ -1,5 +1,3 @@ -# -*- coding: utf-8 -*- - """ Small collection of robust statistical estimators based on functions from Henry Freudenriech (Hughes STX) statistics library (called ROBLIB) that have @@ -15,22 +13,66 @@ * polyfit - outlier resistant fit of a polynomial to data For the fitting routines, the coefficients are returned in the same order as -numpy.polyfit, i.e., with the coefficient of the highest power listed first. +np.polyfit, i.e., with the coefficient of the highest power listed first. For additional information about the original IDL routines, see: http://idlastro.gsfc.nasa.gov/contents.html#C17 """ +from __future__ import division, print_function#, unicode_literals + import math -import numpy +import numpy as np + +import logging +_log = logging.getLogger('pynrc') __version__ = '0.4' __revision__ = '$Rev$' -__all__ = ['biweightMean', 'mean', 'mode', 'std', 'checkfit', 'linefit', 'polyfit', '__version__', '__revision__', '__all__'] +__all__ = ['medabsdev','biweightMean', 'mean', 'mode', 'std', \ + 'checkfit', 'linefit', 'polyfit', \ + '__version__', '__revision__', '__all__'] __iterMax = 25 __delta = 5.0e-7 -__epsilon = 1.0e-20 +#__epsilon = 1.0e-20 +__epsilon = np.finfo(float).eps # 2.22E-16 + +def medabsdev(data, axis=None, keepdims=False): + """ + Median Absolute Deviation: a "Robust" version of standard deviation. + + axis : None or int or tuple of ints, optional + Axis or axes along which the deviation is computed. The + default is to compute the deviation of the flattened array. + + If this is a tuple of ints, a standard deviation is performed over + multiple axes, instead of a single axis or all the axes as before. + This is the equivalent of reshaping the input data and then taking + the standard devation. + keepdims : bool, optional + If this is set to True, the axes which are reduced are left + in the result as dimensions with size one. With this option, + the result will broadcast correctly against the original `arr`. + """ + med = np.median(data, axis=axis, keepdims=True) + abs = np.abs(data - med) + sigma = np.median(abs, axis=axis, keepdims=True) / 0.6744897501960817 + + # Check if anything is near 0.0 (below machine precision) + mask = sigma < __epsilon + if np.any(mask): + sigma[mask] = (np.mean(abs, axis=axis, keepdims=True))[mask] / 0.8 + mask = sigma < __epsilon + if np.any(mask): + sigma[mask] = 0.0 + + + if not keepdims: + return np.squeeze(sigma) + else: + return sigma + def biweightMean(inputData, axis=None, dtype=None): @@ -42,12 +84,12 @@ def biweightMean(inputData, axis=None, dtype=None): .. versionchanged:: 1.0.3 Added the 'axis' and 'dtype' keywords to make this function more - compatible with numpy.mean() + compatible with np.mean() """ if axis is not None: fnc = lambda x: biweightMean(x, dtype=dtype) - y0 = numpy.apply_along_axis(fnc, axis, inputData) + y0 = np.apply_along_axis(fnc, axis, inputData) else: y = inputData.ravel() if type(y).__name__ == "MaskedArray": @@ -56,12 +98,12 @@ def biweightMean(inputData, axis=None, dtype=None): y = y.astype(dtype) n = len(y) - closeEnough = 0.03*numpy.sqrt(0.5/(n-1)) + closeEnough = 0.03*np.sqrt(0.5/(n-1)) diff = 1.0e30 nIter = 0 - y0 = numpy.median(y) + y0 = np.median(y) deviation = y - y0 sigma = std(deviation) @@ -72,7 +114,7 @@ def biweightMean(inputData, axis=None, dtype=None): if nIter > __iterMax: break uu = ((y-y0)/(6.0*sigma))**2.0 - uu = numpy.where(uu > 1.0, 1.0, uu) + uu = np.where(uu > 1.0, 1.0, uu) weights = (1.0-uu)**2.0 weights /= weights.sum() y0 = (weights*y).sum() @@ -80,7 +122,7 @@ def biweightMean(inputData, axis=None, dtype=None): prevSigma = sigma sigma = std(deviation, Zero=True) if sigma > __epsilon: - diff = numpy.abs(prevSigma - sigma) / prevSigma + diff = np.abs(prevSigma - sigma) / prevSigma else: diff = 0.0 @@ -94,12 +136,12 @@ def mean(inputData, Cut=3.0, axis=None, dtype=None): .. versionchanged:: 1.0.3 Added the 'axis' and 'dtype' keywords to make this function more - compatible with numpy.mean() + compatible with np.mean() """ if axis is not None: fnc = lambda x: mean(x, dtype=dtype) - dataMean = numpy.apply_along_axis(fnc, axis, inputData) + dataMean = np.apply_along_axis(fnc, axis, inputData) else: data = inputData.ravel() if type(data).__name__ == "MaskedArray": @@ -107,13 +149,13 @@ def mean(inputData, Cut=3.0, axis=None, dtype=None): if dtype is not None: data = data.astype(dtype) - data0 = numpy.median(data) - maxAbsDev = numpy.median(numpy.abs(data-data0)) / 0.6745 + data0 = np.median(data) + maxAbsDev = np.median(np.abs(data-data0)) / 0.6745 if maxAbsDev < __epsilon: - maxAbsDev = (numpy.abs(data-data0)).mean() / 0.8000 + maxAbsDev = (np.abs(data-data0)).mean() / 0.8000 cutOff = Cut*maxAbsDev - good = numpy.where( numpy.abs(data-data0) <= cutOff ) + good = np.where( np.abs(data-data0) <= cutOff ) good = good[0] dataMean = data[good].mean() dataSigma = math.sqrt( ((data[good]-dataMean)**2.0).sum() / len(good) ) @@ -126,7 +168,7 @@ def mean(inputData, Cut=3.0, axis=None, dtype=None): dataSigma = dataSigma / (-0.15405 + 0.90723*sigmaCut - 0.23584*sigmaCut**2.0 + 0.020142*sigmaCut**3.0) cutOff = Cut*dataSigma - good = numpy.where( numpy.abs(data-data0) <= cutOff ) + good = np.where( np.abs(data-data0) <= cutOff ) good = good[0] dataMean = data[good].mean() if len(good) > 3: @@ -153,7 +195,7 @@ def mode(inputData, axis=None, dtype=None): if axis is not None: fnc = lambda x: mode(x, dtype=dtype) - dataMode = numpy.apply_along_axis(fnc, axis, inputData) + dataMode = np.apply_along_axis(fnc, axis, inputData) else: # Create the function that we can use for the half-sample mode def _hsm(data): @@ -187,7 +229,7 @@ def _hsm(data): data = data.astype(dtype) # The data need to be sorted for this to work - data = numpy.sort(data) + data = np.sort(data) # Find the mode dataMode = _hsm(data) @@ -203,12 +245,12 @@ def std(inputData, Zero=False, axis=None, dtype=None): .. versionchanged:: 1.0.3 Added the 'axis' and 'dtype' keywords to make this function more - compatible with numpy.std() + compatible with np.std() """ if axis is not None: fnc = lambda x: std(x, dtype=dtype) - sigma = numpy.apply_along_axis(fnc, axis, inputData) + sigma = np.apply_along_axis(fnc, axis, inputData) else: data = inputData.ravel() if type(data).__name__ == "MaskedArray": @@ -219,20 +261,20 @@ def std(inputData, Zero=False, axis=None, dtype=None): if Zero: data0 = 0.0 else: - data0 = numpy.median(data) - maxAbsDev = numpy.median(numpy.abs(data-data0)) / 0.6745 + data0 = np.median(data) + maxAbsDev = np.median(np.abs(data-data0)) / 0.6744897501960817 if maxAbsDev < __epsilon: - maxAbsDev = (numpy.abs(data-data0)).mean() / 0.8000 + maxAbsDev = np.mean(np.abs(data-data0)) / 0.8000 if maxAbsDev < __epsilon: sigma = 0.0 return sigma u = (data-data0) / 6.0 / maxAbsDev u2 = u**2.0 - good = numpy.where( u2 <= 1.0 ) + good = np.where( u2 <= 1.0 ) good = good[0] if len(good) < 3: - print "WARNING: Distribution is too strange to compute standard deviation" + print("WARNING: Distribution is too strange to compute standard deviation") sigma = -1.0 return sigma @@ -274,16 +316,16 @@ def checkfit(inputData, inputFit, epsilon, delta, BisquareLimit=6.0): if sigma < epsilon: return (sigma, 0.0, 0, 0.0, 0.0) - toUse = (numpy.where( numpy.abs(fit) > epsilon ))[0] + toUse = (np.where( np.abs(fit) > epsilon ))[0] if len(toUse) < 3: fracDev = 0.0 else: - fracDev = numpy.median(numpy.abs(deviation[toUse]/fit[toUse])) + fracDev = np.median(np.abs(deviation[toUse]/fit[toUse])) if fracDev < delta: return (sigma, fracDev, 0, 0.0, 0.0) - biweights = numpy.abs(deviation)/(BisquareLimit*sigma) - toUse = (numpy.where(biweights > 1))[0] + biweights = np.abs(deviation)/(BisquareLimit*sigma) + toUse = (np.where(biweights > 1))[0] if len(toUse) > 0: biweights[toUse] = 1.0 nGood = len(data) - len(toUse) @@ -304,7 +346,7 @@ def linefit(inputX, inputY, iterMax=25, Bisector=False, BisquareLimit=6.0, Close xIn = inputX.ravel() yIn = inputY.ravel() if type(yIn).__name__ == "MaskedArray": - xIn = xIn.compress(numpy.logical_not(yIn.mask)) + xIn = xIn.compress(np.logical_not(yIn.mask)) yIn = yIn.compressed() n = len(xIn) @@ -313,8 +355,8 @@ def linefit(inputX, inputY, iterMax=25, Bisector=False, BisquareLimit=6.0, Close x = xIn - x0 y = yIn - y0 - cc = numpy.zeros(2) - ss = numpy.zeros(2) + cc = np.zeros(2) + ss = np.zeros(2) sigma = 0.0 yFit = yIn badFit = 0 @@ -323,15 +365,15 @@ def linefit(inputX, inputY, iterMax=25, Bisector=False, BisquareLimit=6.0, Close lsq = 0.0 yp = y if n > 5: - s = numpy.argsort(x) + s = np.argsort(x) u = x[s] v = y[s] nHalf = n/2 -1 - x1 = numpy.median(u[0:nHalf]) - x2 = numpy.median(u[nHalf:]) - y1 = numpy.median(v[0:nHalf]) - y2 = numpy.median(v[nHalf:]) - if numpy.abs(x2-x1) < __epsilon: + x1 = np.median(u[0:nHalf]) + x2 = np.median(u[nHalf:]) + y1 = np.median(v[0:nHalf]) + y2 = np.median(v[nHalf:]) + if np.abs(x2-x1) < __epsilon: x1 = u[0] x2 = u[-1] y1 = v[0] @@ -349,7 +391,7 @@ def linefit(inputX, inputY, iterMax=25, Bisector=False, BisquareLimit=6.0, Close sxy = (x*y).sum() sxx = (x*x).sum() d = sxx - sx*sx - if numpy.abs(d) < __epsilon: + if np.abs(d) < __epsilon: return (0.0, 0.0) ySlope = (sxy - sx*sy) / d yYInt = (sxx*sy - sx*sxy) / d @@ -357,31 +399,31 @@ def linefit(inputX, inputY, iterMax=25, Bisector=False, BisquareLimit=6.0, Close if Bisector: syy = (y*y).sum() d = syy - sy*sy - if numpy.abs(d) < __epsilon: + if np.abs(d) < __epsilon: return (0.0, 0.0) tSlope = (sxy - sy*sx) / d tYInt = (syy*sx - sy*sxy) / d - if numpy.abs(tSlope) < __epsilon: + if np.abs(tSlope) < __epsilon: return (0.0, 0.0) xSlope = 1.0/tSlope xYInt = -tYInt / tSlope if ySlope > xSlope: a1 = yYInt b1 = ySlope - r1 = numpy.sqrt(1.0+ySlope**2.0) + r1 = np.sqrt(1.0+ySlope**2.0) a2 = xYInt b2 = xSlope - r2 = numpy.sqrt(1.0+xSlope**2.0) + r2 = np.sqrt(1.0+xSlope**2.0) else: a2 = yYInt b2 = ySlope - r2 = numpy.sqrt(1.0+ySlope**2.0) + r2 = np.sqrt(1.0+ySlope**2.0) a1 = xYInt b1 = xSlope - r1 = numpy.sqrt(1.0+xSlope**2.0) + r1 = np.sqrt(1.0+xSlope**2.0) yInt = (r1*a2 + r2*a1) / (r1 + r2) slope = (r1*b2 + r2*b1) / (r1 + r2) - r = numpy.sqrt(1.0+slope**2.0) + r = np.sqrt(1.0+slope**2.0) if yInt > 0: r = -r u1 = slope / r @@ -403,7 +445,7 @@ def linefit(inputX, inputY, iterMax=25, Bisector=False, BisquareLimit=6.0, Close return cc[::-1] sigma1 = (100.0*sigma) - closeEnough = CloseFactor * numpy.sqrt(0.5/(n-1)) + closeEnough = CloseFactor * np.sqrt(0.5/(n-1)) if closeEnough < __delta: closeEnough = __delta diff = 1.0e20 @@ -419,7 +461,7 @@ def linefit(inputX, inputY, iterMax=25, Bisector=False, BisquareLimit=6.0, Close sxy = (biweights*x*y).sum() sxx = (biweights*x*x).sum() d = sxx - sx*sx - if numpy.abs(d) < __epsilon: + if np.abs(d) < __epsilon: return (0.0, 0.0) ySlope = (sxy - sx*sy) / d yYInt = (sxx*sy - sx*sxy) / d @@ -429,31 +471,31 @@ def linefit(inputX, inputY, iterMax=25, Bisector=False, BisquareLimit=6.0, Close if Bisector: syy = (biweights*y*y).sum() d = syy - sy*sy - if numpy.abs(d) < __epsilon: + if np.abs(d) < __epsilon: return (0.0, 0.0) tSlope = (sxy - sy*sx) / d tYInt = (syy*sx - sy*sxy) / d - if numpy.abs(tSlope) < __epsilon: + if np.abs(tSlope) < __epsilon: return (0.0, 0.0) xSlope = 1.0/tSlope xYInt = -tYInt / tSlope if ySlope > xSlope: a1 = yYInt b1 = ySlope - r1 = numpy.sqrt(1.0+ySlope**2.0) + r1 = np.sqrt(1.0+ySlope**2.0) a2 = xYInt b2 = xSlope - r2 = numpy.sqrt(1.0+xSlope**2.0) + r2 = np.sqrt(1.0+xSlope**2.0) else: a2 = yYInt b2 = ySlope - r2 = numpy.sqrt(1.0+ySlope**2.0) + r2 = np.sqrt(1.0+ySlope**2.0) a1 = xYInt b1 = xSlope - r1 = numpy.sqrt(1.0+xSlope**2.0) + r1 = np.sqrt(1.0+xSlope**2.0) yInt = (r1*a2 + r2*a1) / (r1 + r2) slope = (r1*b2 + r2*b1) / (r1 + r2) - r = numpy.sqrt(1.0+slope**2.0) + r = np.sqrt(1.0+slope**2.0) if yInt > 0: r = -r u1 = slope / r @@ -471,8 +513,8 @@ def linefit(inputX, inputY, iterMax=25, Bisector=False, BisquareLimit=6.0, Close if nGood < 2: badFit = 1 break - diff1 = numpy.abs(sigma1 - sigma)/sigma - diff2 = numpy.abs(sigma2 - sigma)/sigma + diff1 = np.abs(sigma1 - sigma)/sigma + diff2 = np.abs(sigma2 - sigma)/sigma if diff1 < diff2: diff = diff1 else: @@ -490,7 +532,7 @@ def polyfit(inputX, inputY, order, iterMax=25): Library. Unlike robust_poly_fit, two different polynomial fitters are used - because numpy.polyfit does not support non-uniform weighting of the + because np.polyfit does not support non-uniform weighting of the data. For the weighted fitting, the SciPy Orthogonal Distance Regression module (scipy.odr) is used. """ @@ -507,7 +549,7 @@ def polyFunc(B, x, order=order): x = inputX.ravel() y = inputY.ravel() if type(y).__name__ == "MaskedArray": - x = x.compress(numpy.logical_not(y.mask)) + x = x.compress(np.logical_not(y.mask)) y = y.compressed() n = len(x) @@ -522,36 +564,36 @@ def polyFunc(B, x, order=order): minPts = nSeg*3 if n < 1000: lsqFit = 1 - cc = numpy.polyfit(u, v, order) - yFit = numpy.polyval(cc, u) + cc = np.polyfit(u, v, order) + yFit = np.polyval(cc, u) else: lsqfit = 0 - q = numpy.argsort(u) + q = np.argsort(u) u = u[q] v = v[q] - nPerSeg = numpy.zeros(nSeg) + n/nSeg + nPerSeg = np.zeros(nSeg) + n/nSeg nLeft = n - nPerSeg[0]*nSeg nPerSeg[nSeg/2] = nPerSeg[nSeg/2] + nLeft - r = numpy.zeros(nSeg) - s = numpy.zeros(nSeg) - r[0] = numpy.median(u[0:nPerSeg[0]]) - s[0] = numpy.median(v[0:nPerSeg[0]]) + r = np.zeros(nSeg) + s = np.zeros(nSeg) + r[0] = np.median(u[0:nPerSeg[0]]) + s[0] = np.median(v[0:nPerSeg[0]]) i2 = nPerSeg[0]-1 for i in range(1,nSeg): i1 = i2 i2 = i1 + nPerSeg[i] - r[i] = numpy.median(u[i1:i2]) - s[i] = numpy.median(v[i1:i2]) - cc = numpy.polyfit(r, s, order) - yFit = numpy.polyval(cc, u) + r[i] = np.median(u[i1:i2]) + s[i] = np.median(v[i1:i2]) + cc = np.polyfit(r, s, order) + yFit = np.polyval(cc, u) sigma, fracDev, nGood, biweights, scaledResids = checkfit(v, yFit, __epsilon, __delta) if nGood == 0: return cc if nGood < minPts: if lsqFit == 0: - cc = numpy.polyfit(u, v, order) - yFit = numpy.polyval(cc, u) + cc = np.polyfit(u, v, order) + yFit = np.polyval(cc, u) sigma, fracDev, nGood, biweights, scaledResids = checkfit(yp, yFit, __epsilon, __delta) if nGood == 0: return __processPoly(x0, y0, order, cc) @@ -559,7 +601,7 @@ def polyFunc(B, x, order=order): if nGood < minPts: return 0 - closeEnough = 0.03*numpy.sqrt(0.5/(n-1)) + closeEnough = 0.03*np.sqrt(0.5/(n-1)) if closeEnough < __delta: closeEnough = __delta diff = 1.0e10 @@ -571,7 +613,7 @@ def polyFunc(B, x, order=order): break sigma2 = sigma1 sigma1 = sigma - g = (numpy.where(biweights > 0))[0] + g = (np.where(biweights > 0))[0] if len(g) < len(biweights): u = u[g] v = v[g] @@ -584,13 +626,13 @@ def polyFunc(B, x, order=order): cc = out.beta[::-1] except: ## And then give up when it doesn't work - cc = numpy.polyfit(u, v, order) - yFit = numpy.polyval(cc, u) + cc = np.polyfit(u, v, order) + yFit = np.polyval(cc, u) sigma, fracDev, nGood, biweights, scaledResids = checkfit(v, yFit, __epsilon, __delta) if nGood < minPts: return cc - diff1 = numpy.abs(sigma1 - sigma)/sigma - diff2 = numpy.abs(sigma2 - sigma)/sigma + diff1 = np.abs(sigma1 - sigma)/sigma + diff2 = np.abs(sigma2 - sigma)/sigma if diff1 < diff2: diff = diff1 else: diff --git a/pynrc/not_version.py b/pynrc/not_version.py new file mode 100644 index 00000000..c87e99b5 --- /dev/null +++ b/pynrc/not_version.py @@ -0,0 +1,4 @@ +__version__ = u'0.5.0' +version = u'0.5.0' +#__author__ = 'Jarron Leisenring' +#__email__ = 'jarronl@email.arizona.edu' diff --git a/nrc_utils.py b/pynrc/nrc_utils.py similarity index 70% rename from nrc_utils.py rename to pynrc/nrc_utils.py index a6d70f78..4d813e39 100644 --- a/nrc_utils.py +++ b/pynrc/nrc_utils.py @@ -6,28 +6,46 @@ # The six library is useful for Python 2 and 3 compatibility import six -import time # Import libraries import numpy as np import matplotlib import matplotlib.pyplot as plt -matplotlib.rcParams['image.origin'] = 'lower' -matplotlib.rcParams['image.interpolation'] = 'none' -matplotlib.rcParams['image.cmap'] = 'gist_heat' - - -import astropy.io.fits as fits -import datetime +rcvals = {'xtick.minor.visible': True, 'ytick.minor.visible': True, + 'xtick.direction': 'in', 'ytick.direction': 'in', + 'xtick.top': True, 'ytick.right': True, 'font.family': ['serif'], + 'xtick.major.size': 6, 'ytick.major.size': 6, + 'xtick.minor.size': 3, 'ytick.minor.size': 3, + 'image.interpolation': 'none', 'image.origin': 'lower', + 'figure.figsize': [8,6], 'mathtext.fontset':'cm'}#, + #'text.usetex': True, 'text.latex.preamble': ['\usepackage{gensymb}']} +matplotlib.rcParams.update(rcvals) +cmap_pri, cmap_alt = ('viridis', 'gist_heat') +matplotlib.rcParams['image.cmap'] = cmap_pri if cmap_pri in plt.colormaps() else cmap_alt + + +import datetime, time import yaml, re, os import sys, platform import multiprocessing as mp +import traceback +from astropy.io import fits +from astropy.io import ascii from astropy.table import Table +from astropy.time import Time + +#from scipy.optimize import least_squares#, leastsq +#from scipy.ndimage import fourier_shift from . import conf from .logging_utils import setup_logging +from .maths import robust +from .maths.image_manip import * +from .maths.fast_poly import * +from .maths.coords import * + ########################################################################### # # WebbPSF Stuff @@ -55,7 +73,7 @@ # Make sure we can use multiprocessing! # Apple's Accelerate framework in 2.7 doesn't work with mp d = np.__config__.blas_opt_info -accel_bool = (d.has_key('extra_link_args') and ('-Wl,Accelerate' in d['extra_link_args'])) +accel_bool = ('extra_link_args' in d.keys() and ('-Wl,Accelerate' in d['extra_link_args'])) if (sys.version_info < (3,4,0)) and (platform.system()=='Darwin') and accel_bool: poppy.conf.use_multiprocessing = False # If the machine has 2 or less CPU cores, then no mp @@ -79,7 +97,7 @@ # Flux loss from masks and occulters are taken into account in WebbPSF S.refs.setref(area = 25.4e4) # cm^2 -# Grap WebbPSF assumed pixel scales +# Grab WebbPSF assumed pixel scales nc_temp = webbpsf.NIRCam() pixscale_SW = nc_temp._pixelscale_short pixscale_LW = nc_temp._pixelscale_long @@ -95,8 +113,8 @@ import logging _log = logging.getLogger('pynrc') -__location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__))) -__location__ += '/' +#__location__ = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__))) +#__location__ += '/' __epsilon = np.finfo(float).eps @@ -131,12 +149,21 @@ def bp_igood(bp, min_trans=0.001, fext=0.05): return ind -def read_filter(filter, pupil=None, mask=None, module=None, ND_acq=False, **kwargs): +def read_filter(filter, pupil=None, mask=None, module=None, ND_acq=False, + ice_scale=None, nvr_scale=None, **kwargs): """ Read in filter throughput curve from file generated by STScI. Includes: OTE, NRC mirrors, dichroic, filter curve, and detector QE. - - Generates a Pysynphot bandpass object. + + Additional Keywords + =================== + ND_acq : ND acquisition square in coronagraphic mask. + ice_scale : Add in additional OTE H2O absorption. This is a scale factor + relative to 0.0131 um thickness + nvr_scale : Add in additiona NIRCam non-volatile residue. This is scale factor + relative to 0.280 um thickness. + + Returns a Pysynphot bandpass object. """ if module is None: module = 'A' @@ -230,8 +257,6 @@ def read_filter(filter, pupil=None, mask=None, module=None, ND_acq=False, **kwar # WebbPSF has a provision to include ND filters in the field, but we include # this option if the user doesn't want to figure out offset positions. if ND_acq: - from astropy.io import ascii - fname = 'NDspot_ODvsWavelength.txt' path_ND = conf.PYNRC_PATH + 'throughputs/' + fname data = ascii.read(path_ND) @@ -281,11 +306,20 @@ def read_filter(filter, pupil=None, mask=None, module=None, ND_acq=False, **kwar fname = 'jwst_nircam_lw-lyot_trans_modmean.fits' hdulist = fits.open(conf.PYNRC_PATH + 'throughputs/' + fname) wtemp = hdulist[1].data['WAVELENGTH'] - ttemp = hdulist[1].data['THROUGHPUT'] * 100 + ttemp = hdulist[1].data['THROUGHPUT'] + ttemp *= 100 # Factors of 100 error in saved values + + # Smooth the raw data + ws = 200 + s = np.r_[ttemp[ws-1:0:-1],ttemp,ttemp[-1:-ws:-1]] + w = np.blackman(ws) + y = np.convolve(w/w.sum(),s,mode='valid') + ttemp = y[int((ws/2-1)):int(-(ws/2))] + # Estimates for w<2.3um wtemp = np.insert(wtemp, 0, [1.00]) ttemp = np.insert(ttemp, 0, [0.95]) - # Estimates for w>2.3um + # Estimates for w>5.0um wtemp = np.append(wtemp, [6.0]) ttemp = np.append(ttemp, [0.9]) # Interpolate substrate transmission onto filter wavelength grid @@ -309,6 +343,38 @@ def read_filter(filter, pupil=None, mask=None, module=None, ND_acq=False, **kwar th_wl = np.interp(bp.wave/1e4, wtemp, ttemp, left=0, right=0) th_new = th_wl**pow * bp.throughput bp = S.ArrayBandpass(bp.wave, th_new, name=filter) + + + # Water ice and NVR additions (for LW channel only) + if ((ice_scale is not None) or (nvr_scale is not None)) and ('LW' in channel): + fname = conf.PYNRC_PATH + 'throughputs/ote_nc_sim_1.00.txt' + names = ['Wave', 't_ice', 't_nvr', 't_sys'] + data = ascii.read(fname, data_start=1, names=names) + + wtemp = data['Wave'] + wtemp = np.insert(wtemp, 0, [1.0]) # Estimates for w<2.5um + wtemp = np.append(wtemp, [6.0]) # Estimates for w>5.0um + + th_new = bp.throughput + if ice_scale is not None: + ttemp = data['t_ice'] + ttemp = np.insert(ttemp, 0, [1.0]) # Estimates for w<2.5um + ttemp = np.append(ttemp, [1.0]) # Estimates for w>5.0um + # Interpolate transmission onto filter wavelength grid + ttemp = np.interp(bp.wave/1e4, wtemp, ttemp, left=0, right=0) + th_ice = np.exp(ice_scale * np.log(ttemp)) + th_new = th_ice * th_new + if nvr_scale is not None: + ttemp = data['t_nvr'] + ttemp = np.insert(ttemp, 0, [1.0]) # Estimates for w<2.5um + ttemp = np.append(ttemp, [1.0]) # Estimates for w>5.0um + # Interpolate transmission onto filter wavelength grid + ttemp = np.interp(bp.wave/1e4, wtemp, ttemp, left=0, right=0) + th_nvr = np.exp(nvr_scale * np.log(ttemp)) + th_new = th_nvr * th_new + + # Create new bandpass + bp = S.ArrayBandpass(bp.wave, th_new, name=filter) # Resample to common dw to make ensure consistency @@ -332,6 +398,155 @@ def read_filter(filter, pupil=None, mask=None, module=None, ND_acq=False, **kwar # ########################################################################### +# Subclass of the WebbPSF NIRCam class to fix coronagraphy bug +from webbpsf import NIRCam as webbpsf_NIRCam +class webbpsf_NIRCam_mod(webbpsf_NIRCam): + def __init__(self): + webbpsf_NIRCam.__init__(self) + + def _addAdditionalOptics(self,optsys, oversample=2): + """ Slight re-write of the webbpsf version of this function -JML + + Add coronagraphic optics for NIRCam + + See Krist et al. 2007, 2009 SPIE + + Three circular occulters: HWHM = 6 lambda/D at 2.1, 3.35, 4.3 + = 0.4, 0.64, 0.8 arcsec (avg) + assuming D_tel=6.5m exactly: + = 0.3998, 0.6378, 0.8187 arcsec + + Two linear bar occulters: Wedges vary from HWHM = 2 lam/D to 6 lam/D at 2.1 and 4.6 micron + 2.1e-6: HWHM = 0.13327 to 0.3998 + 4.6e-6: HWHM = 0.27290 to 0.8187 + The matching Lyot stop for the wedges are tuned for 4 lam/D. + The linear ones have a fixed width at either side: maybe ~ 3-4 arcsec. Then a linear taper + in between. + + + Values of Sigma: + For circular occulters, 0.3998 requires sigma = 5.253 + 0.8187 requires sigma = 2.5652 + sigma = 2.10013932 / loc + vs. Krist's statement sigma = 2.1001/hwhm + + For linear occulters, 0.3998 requires sigma = 4.5012 + 0.13327 requires sigma = 13.5078 + + # This is NOT a linear relationship! It's a tricky inverse sin nonlinear thing. + + Empirical checks against John Krist's provided 430R and LWB files: + 430R should have sigma = 2.588496 + + + Since the Weak Lenses go in the pupil too, this function provides a convenient place to implement those as well. + + """ + + #optsys.add_image(name='null for debugging NIRcam _addCoron') # for debugging + from webbpsf.optics import NIRCam_BandLimitedCoron + + if ((self.image_mask == 'MASK210R') or (self.image_mask == 'MASK335R') or + (self.image_mask == 'MASK430R')): + optsys.add_image( NIRCam_BandLimitedCoron( name=self.image_mask, module=self.module), + index=2) + trySAM = False # FIXME was True - see https://github.com/mperrin/poppy/issues/169 + SAM_box_size = 5.0 + elif ((self.image_mask == 'MASKSWB') or (self.image_mask == 'MASKLWB')): + optsys.add_image( NIRCam_BandLimitedCoron(name=self.image_mask, module=self.module), + index=2) + trySAM = False #True FIXME + SAM_box_size = [5,20] + #elif ((self.pupil_mask is not None) and (self.pupil_mask.startswith('MASK'))): + else: + # no occulter selected but coronagraphic mode anyway. E.g. off-axis PSF + # but don't add this image plane for weak lens calculations + optsys.add_image(poppy.ScalarTransmission(name='No Image Mask Selected!'), index=2) + trySAM = False + SAM_box_size = 1.0 # irrelevant but variable still needs to be set. + + # add pupil plane mask + if ('pupil_shift_x' in self.options and self.options['pupil_shift_x'] != 0) or \ + ('pupil_shift_y' in self.options and self.options['pupil_shift_y'] != 0): + shift = (self.options['pupil_shift_x'], self.options['pupil_shift_y']) + else: shift = None + + + #NIRCam as-built weak lenses, from WSS config file + WLP4_diversity = 8.27398 # microns + WLP8_diversity = 16.4554 # microns + WLM8_diversity =-16.4143 # microns + WL_wavelength = 2.12 # microns + + #optsys.add_pupil( name='null for debugging NIRcam _addCoron') # debugging + if self.pupil_mask == 'CIRCLYOT': + optsys.add_pupil(transmission=self._datapath+"/optics/NIRCam_Lyot_Somb.fits", name=self.pupil_mask, + flip_y=True, shift=shift, index=3) + optsys.planes[3].wavefront_display_hint='intensity' + elif self.pupil_mask == 'WEDGELYOT': + optsys.add_pupil(transmission=self._datapath+"/optics/NIRCam_Lyot_Sinc.fits", name=self.pupil_mask, + flip_y=True, shift=shift, index=3) + optsys.planes[3].wavefront_display_hint='intensity' + elif self.pupil_mask == 'WEAK LENS +4': + optsys.add_pupil(poppy.ThinLens( + name='Weak Lens +4', + nwaves=WLP4_diversity / WL_wavelength, + reference_wavelength=WL_wavelength*1e-6, #convert microns to meters + radius=self.pupil_radius + ), index=3) + elif self.pupil_mask == 'WEAK LENS +8': + optsys.add_pupil(poppy.ThinLens( + name='Weak Lens +8', + nwaves=WLP8_diversity / WL_wavelength, + reference_wavelength=WL_wavelength*1e-6, + radius=self.pupil_radius + ), index=3) + elif self.pupil_mask == 'WEAK LENS -8': + optsys.add_pupil(poppy.ThinLens( + name='Weak Lens -8', + nwaves=WLM8_diversity / WL_wavelength, + reference_wavelength=WL_wavelength*1e-6, + radius=self.pupil_radius + ), index=3) + elif self.pupil_mask == 'WEAK LENS +12 (=4+8)': + stack = poppy.CompoundAnalyticOptic(name='Weak Lens Pair +12', opticslist=[ + poppy.ThinLens( + name='Weak Lens +4', + nwaves=WLP4_diversity / WL_wavelength, + reference_wavelength=WL_wavelength*1e-6, + radius=self.pupil_radius + ), + poppy.ThinLens( + name='Weak Lens +8', + nwaves=WLP8_diversity / WL_wavelength, + reference_wavelength=WL_wavelength*1e-6, + radius=self.pupil_radius + )] + ) + optsys.add_pupil(stack, index=3) + elif self.pupil_mask == 'WEAK LENS -4 (=4-8)': + stack = poppy.CompoundAnalyticOptic(name='Weak Lens Pair -4', opticslist=[ + poppy.ThinLens( + name='Weak Lens +4', + nwaves=WLP4_diversity / WL_wavelength, + reference_wavelength=WL_wavelength*1e-6, + radius=self.pupil_radius + ), + poppy.ThinLens( + name='Weak Lens -8', + nwaves=WLM8_diversity / WL_wavelength, + reference_wavelength=WL_wavelength*1e-6, + radius=self.pupil_radius + )] + ) + optsys.add_pupil(stack, index=3) + + + elif (self.pupil_mask is None and self.image_mask is not None): + optsys.add_pupil(poppy.ScalarTransmission(name='No Lyot Mask Selected!'), index=3) + + return (optsys, trySAM, SAM_box_size) + def nproc_use(fov_pix, oversample, nwavelengths=None, coron=False): """ @@ -407,16 +622,30 @@ def _wrap_coeff_for_mp(args): mp_prev = poppy.conf.use_multiprocessing poppy.conf.use_multiprocessing = False - inst,w,fov_pix,oversample = args - hdu_list = inst.calc_psf(outfile=None, save_intermediates=False, oversample=oversample, rebin=True, \ - fov_pixels=fov_pix, monochromatic=w*1e-6) + inst,w,fov_pix,oversample = args + fov_pix_orig = fov_pix # Does calc_psf change fov_pix?? + try: + hdu_list = inst.calc_psf(outfile=None, save_intermediates=False, \ + oversample=oversample, rebin=True, \ + fov_pixels=fov_pix, monochromatic=w*1e-6) + except Exception as e: + print('Caught exception in worker thread (w = {}):'.format(w)) + # This prints the type, value, and stack trace of the + # current exception being handled. + traceback.print_exc() + + print() + #raise e + return None # Return to previous setting poppy.conf.use_multiprocessing = mp_prev - return hdu_list[0].data + return pad_or_cut_to_size(hdu_list[0].data, fov_pix_orig*oversample) + #return hdu_list[0].data + def psf_coeff(filter_or_bp, pupil=None, mask=None, module='A', - fov_pix=11, oversample=4, npsf=None, ndeg=8, opd=None, + fov_pix=11, oversample=None, npsf=None, ndeg=7, opd=None, tel_pupil=None, offset_r=0, offset_theta=0, save=True, force=False, **kwargs): """ Creates a set of coefficients that will generate a simulated PSF at any @@ -433,32 +662,48 @@ def psf_coeff(filter_or_bp, pupil=None, mask=None, module='A', are in microns. Parameters - ---------- - filter_or_bp : Either the name of a filter or a pre-computed Pysynphot bandpass. - pupil : NIRCam pupil elements such as grisms or lyot stops - mask : Specify the coronagraphic occulter (spots or bar) - module : 'A' or 'B' - fov_pix : Size of the FoV in pixels (real SW or LW pixels) - oversample : Factor to oversample pixels (in one dimension). The resulting - coefficients will have x/y dimensions of fov_pix*oversample. + ------------------- + filter_or_bp : Either the name of a filter or a Pysynphot bandpass. + pupil : NIRCam pupil elements such as grisms or lyot stops + mask : Specify the coronagraphic occulter (spots or bar) + module : 'A' or 'B' + fov_pix : Size of the FoV in pixels (real SW or LW pixels) + oversample : Factor to oversample pixels (in one dimension). + The resulting coefficients will have x/y dimensions + of fov_pix*oversample. Default 2 for coronagraphy and + 4 otherwise. + npsf : Number of evenly-spaced (with wavelength) monochromatic PSFs to - generate with webbPSF. If not specified, then the default is to produce - 20 PSFs/um. The wavelength range is determined by choosing those - wavelengths where throughput is >0.001. - opd : Tuple specifying the OPD file info. Or can be an hdulist. - Acceptabled forms: - 1. ('OPD_RevV_nircam_150.fits', 0) - 2. ('OPD_RevV_nircam_150.fits', 0, 10) - 10 nm WFE drift - 3. HDUlist + generate with webbPSF. If not specified, then the default is to + produce 20 PSFs/um. The wavelength range is determined by + choosing those wavelengths where throughput is >0.001. + ndeg : Polynomial degree for PSF fitting. + + opd : OPD file info. Acceptable forms: + 1. ('OPD_RevV_nircam_150.fits', 0) + 2. ('OPD_RevV_nircam_150.fits', 0, 10) - specifies 10 nm WFE drift + 3. HDUlist + + tel_pupil : Telescope entrance pupil mask. By default pupil_RevV.fits. + Should either be a filename string or HDUList. + + offset_r : + offset_theta : + + save : + force : """ grism_obs = (pupil is not None) and ('GRISM' in pupil) dhs_obs = (pupil is not None) and ('DHS' in pupil) coron_obs = (pupil is not None) and ('LYOT' in pupil) + + if oversample is None: + oversample = 2 if coron_obs else 4 # Default OPD if opd is None: opd = ('OPD_RevV_nircam_132.fits', 0) - + # Get filter throughput and create bandpass if isinstance(filter_or_bp, six.string_types): filter = filter_or_bp @@ -472,34 +717,47 @@ def psf_coeff(filter_or_bp, pupil=None, mask=None, module='A', setup_logging('WARN', verbose=False) # Create a simulated PSF with WebbPSF - inst = webbpsf.NIRCam() + inst = webbpsf_NIRCam_mod() inst.options['output_mode'] = 'oversampled' inst.options['parity'] = 'odd' - inst.options['source_offset_r'] = offset_r - inst.options['source_offset_theta'] = offset_theta + #inst.options['source_offset_r'] = offset_r + #inst.options['source_offset_theta'] = offset_theta #inst.pupilopd = opd inst.filter = filter setup_logging(log_prev, verbose=False) - # Check if mask and pupil names exist in webbpsf lists + # Check if mask and pupil names exist in WebbPSF lists. + # We don't want to pass values that WebbPSF does not recognize, + # but are otherwise completely valid in the NIRCam framework. if mask in list(inst.image_mask_list): inst.image_mask = mask if pupil in list(inst.pupil_mask_list): inst.pupil_mask = pupil + + # Telescope Pupil + if tel_pupil is not None: + #print('Adding telescope pupil') + inst.pupil = tel_pupil + - # Name to save array of oversampled coefficients - save_dir = conf.PYNRC_PATH + 'psf_coeffs/' - # Create directory if it doesn't already exist - if not os.path.isdir(save_dir): - os.makedirs(save_dir) - mtemp = 'none' if mask is None else mask ptemp = 'none' if pupil is None else pupil # Get source offset positions - if (mask is not None) and (('210R' in mask) or ('335R' in mask) or ('430R' in mask)): + # 1. Round masks - Always assume theta=0 due to symmetry. + # 2. Bar Masks - PSF positioning is different depending on r and theta. + # 3. All other imaging - Just perform nominal r=theta=0. + # Any PSF movement is more quickly applied with sub-pixel shifting routines. + # NB: Implementation of field-dependent OPD maps may change these settings. + rtemp, ttemp = (offset_r, offset_theta) + if ('210R' in mtemp) or ('335R' in mtemp) or ('430R' in mtemp): rtemp, ttemp = (offset_r, 0) - else: + elif ('MASKSWB' in mtemp) or ('MASKLWB' in mtemp): rtemp, ttemp = (offset_r, offset_theta) + else: + rtemp = ttemp = 0 + inst.options['source_offset_r'] = rtemp + inst.options['source_offset_theta'] = ttemp # Deal with OPD file name + #print(opd) wfe_drift = 0 if isinstance(opd, tuple): if len(opd)==2: # No drift @@ -512,7 +770,7 @@ def psf_coeff(filter_or_bp, pupil=None, mask=None, module='A', # Filename info opd_nm = opd[0][-8:-5] # RMS WFE (e.g., 132) opd_num = opd[1] # OPD slice - otemp = 'OPD{}nm{:.0f}'.format(opd_nm, opd_num, wfe_drift) + otemp = 'OPD{}nm{:.0f}'.format(opd_nm, opd_num) if wfe_drift > 0: otemp = '{}-{:.0f}nm'.format(otemp, wfe_drift) elif isinstance(opd, fits.HDUList): @@ -521,7 +779,13 @@ def psf_coeff(filter_or_bp, pupil=None, mask=None, module='A', else: raise ValueError("opd must be a tuple or HDUList.") - # Final filename to save to + # Name to save array of oversampled coefficients + save_dir = conf.PYNRC_PATH + 'psf_coeffs/' + # Create directory if it doesn't already exist + if not os.path.isdir(save_dir): + os.makedirs(save_dir) + + # Final filename to save coeff fname = '{}_{}_{}_{}_{}_{}_{:.1f}_{:.1f}_{}.npy'.\ format(filter,mtemp,ptemp,module,fov_pix,oversample,rtemp,ttemp,otemp) save_name = save_dir + fname @@ -529,12 +793,15 @@ def psf_coeff(filter_or_bp, pupil=None, mask=None, module='A', if (not force) and (save and os.path.exists(save_name)): return np.load(save_name) - # Drift the OPD if on the coronagraphic spot (rtemp=0) - # This isn't quite right compared to the nominal case on account - # of slight modifications to the pupil mask relative to RevV pupils. - # Contrasts for ~1-5nm drifts look very similar because the dominant - # WFE effects are due to differences in the segment edges. - if rtemp == 0: + # Only drift OPD if PSF is in nominal position (rtemp=0). + # Anything that is in an offset position is currently considered + # to be a companion source that we're trying to detect, so the + # PSF WFE difference has negligible bearing on the outcome. + # + # Need to look at functions inside speckle_noise to see if + # I can speed up this process. Might be running some unnecessary + # processes. + if (rtemp == 0) and (not isinstance(opd, fits.HDUList)): from . import speckle_noise as sn pupilopd = opd # Read in a specified OPD file and slice @@ -581,8 +848,7 @@ def psf_coeff(filter_or_bp, pupil=None, mask=None, module='A', inst.SHORT_WAVELENGTH_MIN = inst.LONG_WAVELENGTH_MIN = 0 inst.SHORT_WAVELENGTH_MAX = inst.LONG_WAVELENGTH_MAX = 10e-6 - # Create set of monochromatic PSFs for interpolation between. - # Useful for grism simulation. + # Create set of monochromatic PSFs to fit. if npsf is None: dn = 20 # 20 PSF simulations per um npsf = np.ceil(dn * (w2-w1)) @@ -594,21 +860,35 @@ def psf_coeff(filter_or_bp, pupil=None, mask=None, module='A', _log.debug('nprocessors: %.0f; npsf: %.0f' % (nproc, npsf)) # Change log levels to WARNING for pyNRC, WebbPSF, and POPPY setup_logging('WARN', verbose=False) - # Setup the multiprocessing pool and arguments to pass to each pool + t0 = time.time() + # Setup the multiprocessing pool and arguments to pass to each pool worker_arguments = [(inst, wlen, fov_pix, oversample) for wlen in waves] - - if nproc > 1: pool = mp.Pool(nproc) # Pass arguments to the helper function images = pool.map(_wrap_coeff_for_mp, worker_arguments) - pool.close() + + try: + images = pool.map(_wrap_coeff_for_mp, worker_arguments) + if images[0] is None: + raise RuntimeError('Returned None values. Issue with multiprocess or WebbPSF??') + + except Exception as e: + _log.error('Caught an exception during multiprocess.') + _log.error('Closing multiprocess pool.') + pool.terminate() + pool.close() + raise e + + else: + _log.debug('Closing multiprocess pool.') + pool.close() else: # Pass arguments to the helper function images = map(_wrap_coeff_for_mp, worker_arguments) - t1 = time.time() + # Reset to original log levels setup_logging(log_prev, verbose=False) _log.debug('Took %.2f seconds to generate WebbPSF images' % (t1-t0)) @@ -629,19 +909,23 @@ def psf_coeff(filter_or_bp, pupil=None, mask=None, module='A', # Or is it (npsf,ny,nx)? Depends on WebbPSF's coord system... images = np.array(images) +### # Simultaneous polynomial fits to all pixels using linear least squares +### # 7th-degree polynomial seems to do the trick +### #ndeg = 8 # 7+1 +### x = waves +### #a = np.vstack((np.ones(npsf), x, x**2, x**3, x**4, x**5, x**6, x**7)).T +### a = np.array([x**num for num in range(ndeg+1)]).T +### #b = images.reshape([-1,npsf]).T +### b = images.reshape([npsf,-1]) +### coeff_all, _, _, _ = np.linalg.lstsq(a, b) +### +### # The number of pixels to span spatially +### fov_pix_over = fov_pix * oversample +### coeff_all = coeff_all.reshape([ndeg+1,fov_pix_over,fov_pix_over]) + # Simultaneous polynomial fits to all pixels using linear least squares # 7th-degree polynomial seems to do the trick - #ndeg = 8 # 7+1 - x = waves - #a = np.vstack((np.ones(npsf), x, x**2, x**3, x**4, x**5, x**6, x**7)).T - a = np.array([x**num for num in range(ndeg)]).T - #b = images.reshape([-1,npsf]).T - b = images.reshape([npsf,-1]) - coeff_all, _, _, _ = np.linalg.lstsq(a, b) - - # The number of pixels to span spatially - fov_pix_over = fov_pix * oversample - coeff_all = coeff_all.reshape([ndeg,fov_pix_over,fov_pix_over]) + coeff_all = jl_poly_fit(waves, images, ndeg) if save: np.save(save_name, coeff_all) @@ -663,7 +947,7 @@ def gen_image_coeff(filter_or_bp, pupil=None, mask=None, module='A', image or list of images if sp_norm is a list of spectra. Parameters - ---------- + ------------------- filter_or_bp : Either the name of a filter or a pre-computed Pysynphot bandpass. pupil : NIRCam pupil elements such as grisms or lyot stops mask : Specify the coronagraphic occulter (spots or bar) @@ -685,14 +969,17 @@ def gen_image_coeff(filter_or_bp, pupil=None, mask=None, module='A', return_oversample: If True, then also returns the oversampled version of the PSF - **kwargs : Allows the user to pass additional (optional) arguments to - psf_coeff(), such as npsf and ndeg + Keyword Args + ------------------- + Allows the user to pass additional (optional) arguments to: + psf_coeff - npsf and ndeg + read_filter - ND_acq """ # Get filter throughput and create bandpass if isinstance(filter_or_bp, six.string_types): filter = filter_or_bp - bp = read_filter(filter, pupil=pupil, mask=mask, module=module) + bp = read_filter(filter, pupil=pupil, mask=mask, module=module, **kwargs) else: bp = filter_or_bp filter = bp.name @@ -721,17 +1008,11 @@ def gen_image_coeff(filter_or_bp, pupil=None, mask=None, module='A', w1 = wgood.min(); w2 = wgood.max() wrange = w2 - w1 - - # Flat spectrum with equal photon flux in each spectal bin if sp_norm is None: sp_flat = S.ArraySpectrum(waveset, 0*waveset + 10.) sp_flat.name = 'Flat spectrum in photlam' - # Renormalize to 10th magnitude in bandpass - #mag_norm = 10 - #sp_norm = sp_flat.renorm(mag_norm, 'vegamag', bp) - # Bandpass unit response is the flux (in flam) of a star that # produces a response of one count per second in that bandpass sp_norm = sp_flat.renorm(bp.unit_response(), 'flam', bp) @@ -751,7 +1032,7 @@ def gen_image_coeff(filter_or_bp, pupil=None, mask=None, module='A', for obs in obs_list: obs.convert('counts') # Create a PSF for each wgood wavelength - psf_fit = jl_poly(wgood, coeff) + psf_fit = jl_poly(wgood, coeff, dim_reorder=True) # Multiply each monochromatic PSFs by the binned e/sec at each wavelength # Array broadcasting: [nx,ny,nwave] x [0,0,nwave] @@ -824,6 +1105,7 @@ def gen_image_coeff(filter_or_bp, pupil=None, mask=None, module='A', data_list = [] for psf_fit in psf_list: data_over = psf_fit.sum(axis=2) + data_over[data_over<__epsilon] = 0 data_list.append(poppy.utils.krebin(data_over, (fov_pix,fov_pix))) if nspec == 1: data_list = data_list[0] @@ -919,7 +1201,7 @@ def bg_sensitivity(filter_or_bp, pupil=None, mask=None, module='A', pix_scale=No sp=None, units=None, nsig=10, tf=10.737, ngroup=2, nf=1, nd2=0, nint=1, coeff=None, fov_pix=11, oversample=4, quiet=True, forwardSNR=False, offset_r=0, offset_theta=0, return_image=False, image=None, - dw_bin=None, rad_EE=None, **kwargs): + dw_bin=None, ap_spec=None, rad_EE=None, **kwargs): """ Estimates the sensitivity for a set of instrument parameters. By default, a flat spectrum is convolved with the specified bandpass. @@ -937,7 +1219,7 @@ def bg_sensitivity(filter_or_bp, pupil=None, mask=None, module='A', pix_scale=No radius of ~1 FWHM rounded to the next highest integer pixel (or 2.5 pixels, whichever is larger). For spectral observtions, this function returns an array of sensitivities at 0.1um intervals with apertures corresponding to - 3 spectral pixels and a number of spatial pixels equivalent to 1 FWHM rounded + 2 spectral pixels and a number of spatial pixels equivalent to 1 FWHM rounded to the next highest integer (minimum of 5 spatial pixels). Parameters @@ -986,15 +1268,18 @@ def bg_sensitivity(filter_or_bp, pupil=None, mask=None, module='A', pix_scale=No ------------------- image : Explicitly pass image data rather than calculating from coeff. return_image : Instead of calculating sensitivity, return the image calced from coeff. - dw_bin : Delta wavelength to calculate spectral sensitivities (grisms & DHS). rad_EE : Extraction aperture radius (in pixels) for imaging mode. + dw_bin : Delta wavelength to calculate spectral sensitivities (grisms & DHS). + ap_spec : Instead of dw_bin, specify the spectral extraction aperture in pixels. + Takes priority over dw_bin. Value will get rounded up to nearest int. Keyword Args ------------------- **kwargs : Allows the user to pass additional (optional) arguments: - zodi_spec - zfact - pix_noise - rn, ktc, idark, and p_excess - psf_coeff - npsf and ndeg + zodi_spec - zfact, locstr, year, day + pix_noise - rn, ktc, idark, and p_excess + psf_coeff - npsf and ndeg + read_filter - ND_acq """ grism_obs = (pupil is not None) and ('GRISM' in pupil) @@ -1004,7 +1289,7 @@ def bg_sensitivity(filter_or_bp, pupil=None, mask=None, module='A', pix_scale=No # Get filter throughput and create bandpass if isinstance(filter_or_bp, six.string_types): filter = filter_or_bp - bp = read_filter(filter, pupil=pupil, mask=mask, module=module) + bp = read_filter(filter, pupil=pupil, mask=mask, module=module, **kwargs) else: bp = filter_or_bp filter = bp.name @@ -1100,11 +1385,13 @@ def bg_sensitivity(filter_or_bp, pupil=None, mask=None, module='A', pix_scale=No ispat2 = ispat1 + ap_spat # Get spectral indices on the spectral image - if dw_bin is None: + if (dw_bin is None) and (ap_spec is None): ap_spec = 2 - else: + elif (dw_bin is not None) and (ap_spec is None): ap_spec = wspec.size * dw_bin / (wspec.max() - wspec.min()) ap_spec = int(ap_spec+0.5) + else: + ap_spec = int(ap_spec+0.5) diff = abs(wspec.reshape(wspec.size,1) - wsen_arr) ind_wave = [] for i in np.arange(wsen_arr.size): @@ -1187,13 +1474,16 @@ def bg_sensitivity(filter_or_bp, pupil=None, mask=None, module='A', pix_scale=No # Wavelength to grab sensitivity values obs = S.Observation(sp_norm, bp, binset=waveset) efflam = obs.efflam()*1e-4 # microns - - # Create HDU list to pass to radial_profile() - flux_hdu = fits.PrimaryHDU(image) - flux_hdu.header.append(('PIXELSCL', pix_scale)) - flux_hdu_list = fits.HDUList(flux_hdu) - radius, _, EE_flux = radial_profile(flux_hdu_list, EE=True, center=center) - rad_pix = radius / pix_scale + 0.5 + + # Encircled energy + rho_pix = dist_image(image) + bins = np.arange(rho_pix.min(), rho_pix.max() + 1, 1) + # Groups indices for each radial bin + igroups, _, rad_pix = hist_indices(rho_pix, bins, True) + # Sum of each radial annulus + sums = binned_statistic(igroups, image, func=np.sum) + # Encircled energy within each radius + EE_flux = np.cumsum(sums) # How many pixels do we want? fwhm_pix = 1.2 * efflam * 0.206265 / 6.5 / pix_scale @@ -1201,22 +1491,6 @@ def bg_sensitivity(filter_or_bp, pupil=None, mask=None, module='A', pix_scale=No rad_EE = np.max([fwhm_pix,2.5]) npix_EE = np.pi * rad_EE**2 - ####TEMPORARY -# tgrp = (nf + nd2) * tf -# tint = ngroup*tgrp - nd2*tf #(ngroup*nf + (ngroup-1)*nd2) * tf -# texp_orig = nint*tint -# # Cosmic ray influence -# texp = texp_orig#*(1. - 0.32*tgrp/tint)*(1. - tf/tint) -# idark = 0.01 -# rn = 15.0 -# -# var_const = fzodi_pix/tint + idark/tint + rn**2 / tint**2 -# _log.debug('tgrp:{0:.2f}, tint:{1:.2f}, texp_orig:{2:.2f}, texp:{3:.2f}'\ -# .format(tgrp,tint,texp_orig,texp)) -# _log.debug('idark:{0:.4f}, rn:{1:.1f}'.format(idark,rn)) -# _log.debug('Extraction radius: {0:.2f} pixels'.format(rad_EE)) - ####TEMPORARY - # For surface brightness sensitivity (extended object) # Assume the fiducial (sp_norm) to be in terms of mag/arcsec^2 # Multiply countrate() by pix_scale^2 to get in terms of per pixel (area) @@ -1227,11 +1501,10 @@ def bg_sensitivity(filter_or_bp, pupil=None, mask=None, module='A', pix_scale=No if forwardSNR: im_var = pix_noise(ngroup=ngroup, nf=nf, nd2=nd2, tf=tf, fzodi=fzodi_pix, fsrc=image, **kwargs)**2 - # Create HDU list to pass to radial_profile() - var_hdu = fits.PrimaryHDU(im_var) - var_hdu.header.append(('PIXELSCL', pix_scale)) - var_hdu_list = fits.HDUList(var_hdu) - _, _, EE_var = radial_profile(var_hdu_list, EE=True, center=center) + + # root squared sum of noise within each radius + sums = binned_statistic(igroups, im_var, func=np.sum) + EE_var = np.cumsum(sums) EE_sig = np.sqrt(EE_var / nint) EE_snr = snr_fact * EE_flux / EE_sig @@ -1269,12 +1542,10 @@ def bg_sensitivity(filter_or_bp, pupil=None, mask=None, module='A', pix_scale=No im_var = pix_noise(ngroup=ngroup, nf=nf, nd2=nd2, tf=tf, fzodi=fzodi_pix, fsrc=image/f, **kwargs)**2 - - # Create HDU list to pass to radial_profile() - var_hdu = fits.PrimaryHDU(im_var) - var_hdu.header.append(('PIXELSCL', pix_scale)) - var_hdu_list = fits.HDUList(var_hdu) - _, _, EE_var = radial_profile(var_hdu_list, EE=True, center=center) + + # root squared sum of noise within each radius + sums = binned_statistic(igroups, im_var, func=np.sum) + EE_var = np.cumsum(sums) EE_sig = np.sqrt(EE_var / nint) EE_snr = snr_fact * (EE_flux/f) / EE_sig @@ -1338,7 +1609,7 @@ def bg_sensitivity(filter_or_bp, pupil=None, mask=None, module='A', pix_scale=No def sat_limit_webbpsf(filter_or_bp, pupil=None, mask=None, module='A', - sp=None, bp_lim=None, int_time=21.47352, full_well=81e3, well_frac=0.8, + sp=None, bp_lim=None, int_time=21.47354, full_well=81e3, well_frac=0.8, coeff=None, fov_pix=11, oversample=4, quiet=True, units='vegamag', offset_r=0, offset_theta=0, **kwargs): """ @@ -1392,14 +1663,18 @@ def sat_limit_webbpsf(filter_or_bp, pupil=None, mask=None, module='A', oversample : Factor of oversampling of detector pixels. offset_r : Radial offset of the target from center. offset_theta : Position angle for that offset, in degrees CCW (+Y). - **kwargs : Allows the user to pass additional (optional) arguments to - psf_coeff(), such as npsf and ndeg. + + Keyword Args + ------------------- + **kwargs : Allows the user to pass additional (optional) arguments: + psf_coeff - npsf and ndeg + read_filter - ND_acq """ # Get filter throughput and create bandpass if isinstance(filter_or_bp, six.string_types): filter = filter_or_bp - bp = read_filter(filter, pupil=pupil, mask=mask, module=module) + bp = read_filter(filter, pupil=pupil, mask=mask, module=module, **kwargs) else: bp = filter_or_bp filter = bp.name @@ -1521,11 +1796,11 @@ def sat_limit_webbpsf(filter_or_bp, pupil=None, mask=None, module='A', if not quiet: if bp_lim.name == bp.name: - print('{0} Saturation Limit assuming {1} source: {2:.2f}'.\ - format(bp_lim.name, sp_norm.name, sat_mag) ) + print('{} Saturation Limit assuming {} source: {:.2f} {}'.\ + format(bp_lim.name, sp_norm.name, sat_mag, units) ) else: - print('{0} Saturation Limit for {1} assuming {2} source: {3:.2f}'.\ - format(bp_lim.name, bp.name, sp_norm.name, sat_mag) ) + print('{} Saturation Limit for {} assuming {} source: {:.2f} {}'.\ + format(bp_lim.name, bp.name, sp_norm.name, sat_mag, units) ) return {'satmag':sat_mag, 'units':units, 'Spectrum':sp_norm.name, 'bp_lim':bp_lim.name} @@ -1535,7 +1810,7 @@ def pix_noise(ngroup=2, nf=1, nd2=0, tf=10.737, rn=15.0, ktc=29.0, p_excess=(0,0 fsrc=0.0, idark=0.003, fzodi=0, fbg=0, ideal_Poisson=False, **kwargs): """ Theoretical noise calculation of a generalized MULTIACCUM ramp in terms of e-/sec. - Includes flat field errors from JWST-CALC-003894 + Includes flat field errors from JWST-CALC-003894. Parameters =========== @@ -1653,548 +1928,26 @@ def pix_noise(ngroup=2, nf=1, nd2=0, tf=10.737, rn=15.0, ktc=29.0, p_excess=(0,0 return noise + ########################################################################### # -# Image Manipulation and Maths +# Pysynphot Spectrum Wrappers # ########################################################################### -def image_rescale(HDUlist_or_filename, args_in, args_out): - """ - Scale the flux and rebin the image with a give pixel scale and distance - to some output pixel scale and distance. The object's physical units (AU) - are assumed to be constant, so the angular size changes if the distance - to the object changes. - - IT IS RECOMMENDED THAT UNITS BE IN PHOTONS/SEC/PIXEL (not mJy/arcsec) - - Parameters - ========== - args_in : Two parameters consisting of the input image pixel scale and distance - assumed to be in units of arcsec/pixel and parsecs, respectively - args_out : Same as above, but the new desired outputs - - Returns an HDUlist of the new image - """ - im_scale, dist = args_in - pixscale_out, dist_new = args_out - - if isinstance(HDUlist_or_filename, six.string_types): - hdulist = fits.open(HDUlist_or_filename) - elif isinstance(HDUlist_or_filename, fits.HDUList): - hdulist = HDUlist_or_filename - else: - raise ValueError("Input must be a filename or HDUlist") - - # By moving the image closer, we increased the flux (inverse square law) - image = (hdulist[0].data) * (dist / dist_new)**2 - hdulist.close() - - # We also increased the angle that the image subtends - # So, each pixel would has a large angular size - # New image scale in arcsec/pixel - imscale_new = im_scale * dist / dist_new - - # Before rebinning, we want the flux in the central pixel to - # always be in the central pixel (the star). So, let's save - # and remove that flux then add back after the rebinning. - mask_max = image==image.max() - star_flux = image[mask_max][0] - image[mask_max] = 0 - - # Rebin the image to get a pixel scale that oversamples the detector pixels - fact = imscale_new / pixscale_out - image_new = frebin(image, scale=fact) - - # Restore stellar flux to the central pixel. - ny,nx = image_new.shape - image_new[ny//2, nx//2] += star_flux - - hdu_new = fits.PrimaryHDU(image_new) - hdulist = fits.HDUList([hdu_new]) - hdulist[0].header['PIXELSCL'] = pixscale_out - - return hdulist - - -def scale_ref_image(im1, im2): - """ - Find value to scale a reference image by minimizing residuals. - - Inputs - ====== - im1 - Science star observation. - im2 - Reference star observation. - """ - - ind1 = np.where(im1==im1.max()) - ind2 = np.where(im2==im2.max()) - - # Initial Guess - scl = im1[ind1[0]-3:ind1[0]+3,ind1[1]-3:ind1[1]+3].sum() / \ - im2[ind2[0]-3:ind2[0]+3,ind2[1]-3:ind2[1]+3].sum() - - # Check a range of scale values - # Want to minimize the standard deviation of the differenced images - scl_arr = np.linspace(scl-scl*0.1,scl+scl*0.1,50) - mad_arr = [] - for val in scl_arr: - diff = im1 - val*im2 - mad_arr.append(medabsdev(diff)) - mad_arr = np.array(mad_arr) - - #plt.plot(scl_arr,mad_arr) - return scl_arr[mad_arr==mad_arr.min()][0] - - -def pad_or_cut_to_size(array, new_shape): - """ - Resize an array to a new shape by either padding with zeros - or trimming off rows and/or columns. The ouput shape can - be of any arbitrary amount. - - Parameters - ---------- - array : ndarray - A 2D array representing some image - padded_shape : tuple of 2 elements - Desired size for the output array. - If a single value, then will create a 2-element tuple of the same value. - - Returns - ------- - output : ndarray - An array of size new_shape that preserves the central information - of the input array. - """ - - ny, nx = array.shape - if isinstance(new_shape, float) or isinstance(new_shape, int): - ny_new = nx_new = int(round(new_shape)) - new_shape = (ny_new, nx_new) - elif len(new_shape) < 2: - ny_new = nx_new = new_shape[0] - new_shape = (ny_new, nx_new) - else: - ny_new = new_shape[0] - nx_new = new_shape[1] - output = np.zeros(shape=new_shape, dtype=array.dtype) - - if nx_new>nx: - n0 = (nx_new - nx) / 2 - n1 = n0 + nx - elif nx>nx_new: - n0 = (nx - nx_new) / 2 - n1 = n0 + nx_new - else: - n0 = 0; n1 = nx - n0 = int(round(n0)) - n1 = int(round(n1)) - - if ny_new>ny: - m0 = (ny_new - ny) / 2 - m1 = m0 + ny - elif ny>ny_new: - m0 = (ny - ny_new) / 2 - m1 = m0 + ny_new - else: - m0 = 0; m1 = ny - m0 = int(round(m0)) - m1 = int(round(m1)) - - if (nx_new>=nx) and (ny_new>=ny): - #print('Case 1') - output[m0:m1,n0:n1] = array - elif (nx_new<=nx) and (ny_new<=ny): - #print('Case 2') - output = array[m0:m1,n0:n1] - elif (nx_new<=nx) and (ny_new>=ny): - #print('Case 3') - output[m0:m1,:] = array[:,n0:n1] - elif (nx_new>=nx) and (ny_new<=ny): - #print('Case 4') - output[:,n0:n1] = array[m0:m1,:] - - return output - - -def fshift(image, delx=0, dely=0, pad=False): - """ - Ported from IDL function fshift.pro. - Routine to shift an image by non-integer values. - - INPUTS: - image - 2D image to be shifted - delx - shift in x (same direction as IDL SHIFT function) - dely - shift in y - pad - Should we pad the array before shifting, then truncate? - Otherwise, the image is wrapped. - OUTPUTS: - shifted image is returned as the function results - - """ - - if len(image.shape) == 1: - # separate shift into an integer and fraction shift - intx = np.int(delx) - fracx = delx - intx - if fracx < 0: - fracx += 1 - intx -= 1 - - # Pad ends with zeros - if pad: - padx = np.abs(intx) + 1 - x = np.pad(image,np.abs(intx),'constant') - else: - padx = 0 - x = image.copy() - - # shift by integer portion - x = np.roll(x, intx) - # if significant fractional shift... - if not np.isclose(fracx, 0, atol=1e-5): - x = x * (1.-fracx) + np.roll(x,1) * fracx - - x = x[padx:padx+image.size] - return x - - - elif len(image.shape) == 2: - # separate shift into an integer and fraction shift - intx = np.int(delx) - inty = np.int(dely) - fracx = delx - intx - fracy = dely - inty - if fracx < 0: - fracx += 1 - intx -= 1 - if fracy < 0: - fracy += 1 - inty -= 1 - - # Pad ends with zeros - if pad: - padx = np.abs(intx) + 1 - pady = np.abs(inty) + 1 - pad_vals = ([pady]*2,[padx]*2) - x = np.pad(image,pad_vals,'constant') - else: - padx = 0; pady = 0 - x = image.copy() - - # shift by integer portion - x = np.roll(np.roll(x, intx, axis=1), inty, axis=0) - - # Check if fracx and fracy are effectively 0 - fxis0 = np.isclose(fracx,0, atol=1e-5) - fyis0 = np.isclose(fracy,0, atol=1e-5) - # If fractional shifts are significant - # use bi-linear interpolation between four pixels - if not (fxis0 and fyis0): - # Break bi-linear interpolation into four parts - # to avoid NaNs unnecessarily affecting integer shifted dimensions - x1 = x * ((1-fracx)*(1-fracy)) - x2 = 0 if fyis0 else np.roll(x,1,axis=0)*((1-fracx)*fracy) - x3 = 0 if fxis0 else np.roll(x,1,axis=1)*((1-fracy)*fracx) - x4 = 0 if (fxis0 or fyis0) else np.roll(np.roll(x, 1, axis=1), 1, axis=0) * fracx*fracy - - x = x1 + x2 + x3 + x4 - - x = x[pady:pady+image.shape[0], padx:padx+image.shape[1]] - return x - - - #if not np.allclose([fracx,fracy], 0, atol=1e-5): - # x = x * ((1-fracx)*(1-fracy)) + \ - # np.roll(x,1,axis=0) * ((1-fracx)*fracy) + \ - # np.roll(x,1,axis=1) * (fracx*(1-fracy)) + \ - # np.roll(np.roll(x, 1, axis=1), 1, axis=0) * fracx*fracy - - #x = x[pady:pady+image.shape[0], padx:padx+image.shape[1]] - #return x - - - else: - print('Too many dimensions: len(image.shape)={0}'.format(len(image.shape))) - print('Only one or two dimensions allowed...') - - -def frebin(image, dimensions=None, scale=None, total=True): - """ - Python port from the IDL frebin.pro - Shrink or expand the size of a 1D or 2D array by an arbitary amount - using bilinear interpolation. Conserves flux by ensuring that each - input pixel is equally represented in the output array. - - Parameters - ========== - image : Input image, 1-d or 2-d ndarray - dimensions : Size of output array (take priority over scale) - scale : Factor to scale output array - total : Conserves the surface flux. If True, the output pixels - will be the sum of pixels within the appropriate box of - the input image. Otherwise, they will be the average. - - Returns the binned ndarray - """ - - if dimensions is not None: - if isinstance(dimensions, float): - dimensions = [int(dimensions)] * len(image.shape) - elif isinstance(dimensions, int): - dimensions = [dimensions] * len(image.shape) - elif len(dimensions) != len(image.shape): - raise RuntimeError("The number of input dimensions don't match the image shape.") - elif scale is not None: - if isinstance(scale, float) or isinstance(scale, int): - dimensions = map(int, map(round, map(lambda x: x*scale, image.shape))) - elif len(scale) != len(image.shape): - raise RuntimeError("The number of input dimensions don't match the image shape.") - else: - dimensions = [scale[i]*image.shape[i] for i in range(len(scale))] - else: - raise RuntimeError('Incorrect parameters to rebin.\n\frebin(image, dimensions=(x,y))\n\frebin(image, scale=a') - #print(dimensions) - - - shape = image.shape - if len(shape)==1: - nlout = 1 - nsout = dimensions[0] - nsout = int(round(nsout)) - dimensions = [nsout] - elif len(shape)==2: - nlout, nsout = dimensions - nlout = int(round(nlout)) - nsout = int(round(nsout)) - dimensions = [nlout, nsout] - if len(shape) > 2: - raise ValueError('Input image can only have 1 or 2 dimensions. Found {} dimensions.'.format(len(shape))) - - - if nlout != 1: - nl = shape[0] - ns = shape[1] - else: - nl = nlout - ns = shape[0] - - sbox = ns / float(nsout) - lbox = nl / float(nlout) - #print(sbox,lbox) - - # Contract by integer amount - if (sbox.is_integer()) and (lbox.is_integer()): - image = image.reshape((nl,ns)) - result = poppy.utils.krebin(image, (nlout,nsout)) - if not total: result /= (sbox*lbox) - if nl == 1: - return result[0,:] - else: - return result - - ns1 = ns - 1 - nl1 = nl - 1 - - if nl == 1: - #1D case - _log.debug("Rebinning to Dimension: %s" % nsout) - result = np.zeros(nsout) - for i in range(nsout): - rstart = i * sbox - istart = int(rstart) - rstop = rstart + sbox - - if int(rstop) < ns1: - istop = int(rstop) - else: - istop = ns1 - - frac1 = float(rstart) - istart - frac2 = 1.0 - (rstop - istop) - - #add pixel valeus from istart to istop and subtract fraction pixel - #from istart to rstart and fraction pixel from rstop to istop - result[i] = np.sum(image[istart:istop + 1]) - frac1 * image[istart] - frac2 * image[istop] - - if total: - return result - else: - return result / (float(sbox) * lbox) - else: - _log.debug("Rebinning to Dimensions: %s, %s" % tuple(dimensions)) - #2D case, first bin in second dimension - temp = np.zeros((nlout, ns)) - result = np.zeros((nsout, nlout)) - - #first lines - for i in range(nlout): - rstart = i * lbox - istart = int(rstart) - rstop = rstart + lbox - - if int(rstop) < nl1: - istop = int(rstop) - else: - istop = nl1 - - frac1 = float(rstart) - istart - frac2 = 1.0 - (rstop - istop) - - if istart == istop: - temp[i, :] = (1.0 - frac1 - frac2) * image[istart, :] - else: - temp[i, :] = np.sum(image[istart:istop + 1, :], axis=0) -\ - frac1 * image[istart, :] - frac2 * image[istop, :] - - temp = np.transpose(temp) - - #then samples - for i in range(nsout): - rstart = i * sbox - istart = int(rstart) - rstop = rstart + sbox - - if int(rstop) < ns1: - istop = int(rstop) - else: - istop = ns1 - - frac1 = float(rstart) - istart - frac2 = 1.0 - (rstop - istop) - - if istart == istop: - result[i, :] = (1. - frac1 - frac2) * temp[istart, :] - else: - result[i, :] = np.sum(temp[istart:istop + 1, :], axis=0) -\ - frac1 * temp[istart, :] - frac2 * temp[istop, :] - - if total: - return np.transpose(result) - else: - return np.transpose(result) / (sbox * lbox) - - -def medabsdev(data, axis=None, keepdims=False): - """ - Median Absolute Deviation: a "Robust" version of standard deviation. - """ - med = np.median(data, axis=axis, keepdims=True) - abs = np.abs(data - med) - return np.median(abs, axis=axis, keepdims=keepdims) / 0.6744897501960817 - - -def jl_poly(xvals, coeff): - """ - Drop in replacement for np.polynomial.polynomial.polyval(wgood, coeff). - Uses matrix multiplication, which is much faster. - - Inputs: - xvals - 1D array (time, for instance) - coeff - 1D, 2D, or 3D array of coefficients from a polynomial fit. - The first dimension should have a number of elements equal - to the polynomial degree + 1. - - Returns: - An array of values where each xval has been evaluated at for each - set of supplied coefficients. The output shape is the same as for - np.polynomial.polynomial.polyval, where the first dimensions - correspond to the coeff latter dimensions, and the final dimension - is equal to the number of xvals. The result is flattened if either - only one xval or one set of coeff (or both). - """ - - # How many xvals? - n = np.size(xvals) - xdim = len(xvals.shape) - if xdim>1: - raise ValueError('xvals can only have 1 dimension. Found {} dimensions.'.format(xdim)) - - # Check number of dimensions in coefficients - dim = coeff.shape - ndim = len(dim) - if ndim>3: - raise ValueError('coefficient can only have 1, 2, or 3 dimensions. Found {} dimensions.'.format(ndim)) - - # Create an array of exponent values - parr = np.arange(dim[0], dtype='float') - xfan = xvals**parr.reshape((-1,1)) # Array broadcasting - - # Reshape to 2D array - cf = coeff.reshape(dim[0],-1) - yfit = np.dot(cf.T, xfan) - - if ndim==1 or n==1: yfit = yfit.flatten() - if ndim==3: yfit = yfit.reshape((dim[1],dim[2],n)) - - return yfit - - -def dist_image(image, pixscale=None, center=None, return_theta=False): - """ - Returns radial distance in units of pixels, unless pixscale is specified. - Use the center keyword to specify the position (in pixels) to measure from. - If not set, then the center of the image is used. - - return_theta will also return the angular position of each pixel relative - to the specified center - """ - y, x = np.indices(image.shape) - if center is None: - center = tuple((a - 1) / 2.0 for a in image.shape[::-1]) - y = y - center[1]; x = x - center[0] - - rho = np.sqrt(x**2 + y**2) - if pixscale is not None: rho *= pixscale - - if return_theta: - return rho, np.arctan2(-x,y)*180/np.pi - else: - return rho - -def rtheta_to_xy(r, theta): - """ - Input polar cooridnates (WebbPSF convention) and return Carteesian coords - in the imaging coordinate system (as opposed to RA/DEC) - - r : Radial offset from the center in pixels - theta : Position angle for offset in degrees CCW (+Y). - """ - x = -r * np.sin(theta*np.pi/180.) - y = r * np.cos(theta*np.pi/180.) - - if abs(x) < __epsilon: x = 0 - if abs(y) < __epsilon: y = 0 - - return x, y - -def xy_to_rtheta(x, y): - """ - Input (x,y) coordinates and return polar cooridnates that use - the WebbPSF convention (theta is CCW of +Y) - """ - r = np.sqrt(x**2 + y**2) - theta = np.arctan2(-x,y)*180/np.pi - - if abs(r) < __epsilon: r = 0 - if abs(theta) < __epsilon: theta = 0 - - return r, theta - def bin_spectrum(sp, wave, waveunits='um'): """ Rebin a Pysynphot spectrum to a lower wavelenght grid. This function first converts the input spectrum to units - of photlam then combines the photon flux onto the - desired wavelength bin + of counts then combines the photon flux onto the + specified wavelength grid. Output spectrum units are the same as the input spectrum. - sp - Pysynphot spectrum to rebin - wave - Wavelength grid to rebin to - waveunits - Units of wave input, recognizeable by Pysynphot + sp - Pysynphot spectrum to rebin. + wave - Wavelength grid to rebin onto. + waveunits - Units of wave input. Must be recognizeable by Pysynphot. Returns rebinned Pysynphot spectrum in same units as input spectrum. """ @@ -2202,35 +1955,160 @@ def bin_spectrum(sp, wave, waveunits='um'): waveunits0 = sp.waveunits fluxunits0 = sp.fluxunits + # Convert wavelength of input spectrum to desired output units sp.convert(waveunits) - sp.convert('photlam') + # We also want input to be in terms of counts to conserve flux + sp.convert('flam') edges = S.binning.calculate_bin_edges(wave) - indices = np.searchsorted(sp.wave, edges) - i1_arr = indices[:-1] - i2_arr = indices[1:] - - # This assumes the original wavelength grid is uniform - binflux = np.empty(shape=wave.shape, dtype=np.float64) - for i in range(len(wave)): - i1 = i1_arr[i] - i2 = i2_arr[i] - binflux[i] = sp.flux[i1:i2].sum() / (i2-i1) - - sp2 = S.ArraySpectrum(wave, binflux, waveunits=waveunits, fluxunits='photlam') + binflux = binned_statistic(sp.wave, sp.flux, np.mean, bins=edges) + + sp2 = S.ArraySpectrum(wave, binflux, waveunits=waveunits, fluxunits='flam') sp2.convert(waveunits0) sp2.convert(fluxunits0) + + # Put back units of original input spectrum sp.convert(waveunits0) sp.convert(fluxunits0) return sp2 -########################################################################### -# -# Pysynphot Spectrum Wrappers -# -########################################################################### +def BOSZ_spectrum(Teff, metallicity, log_g, res=2000, interpolate=True, **kwargs): + """ + Read in a spectrum from the BOSZ stellar atmosphere models database. + Returns a Pysynphot spectral object. Wavelength values range from + 1000-32000 Angstroms. + + This function interoplates the model grid by reading in those models + closest in temperature, metallicity, and log g to the desired parameters, + then takes the weighted average of these models based on their relative + offsets. Can also just read in the closest model by setting interpolate=False. + + Different spectral resolutions can also be specified, currently only + res=200 or res=2000. + + Ref: https://archive.stsci.edu/prepds/bosz/ + """ + + model_dir = '/Volumes/NIRData/bosz_grids/' + res_dir = model_dir + 'R{}/'.format(res) + if not os.path.isdir(model_dir): + raise IOError('BOSZ model directory does not exist: {}'.format(model_dir)) + if not os.path.isdir(res_dir): + raise IOError('Resolution directory does not exist: {}'.format(res_dir)) + + # Grid of computed temperature steps + teff_grid = range(3500,12000,250) + range(12000,20000,500) + range(20000,36000,1000) + teff_grid = np.array(teff_grid) + + # Grid of log g steps for desired Teff + lg_max = 5 + lg_step = 0.5 + if Teff < 6250: lg_min = 0 + elif Teff < 8250: lg_min = 1 + elif Teff < 12500: lg_min = 2 + elif Teff < 21000: lg_min = 3 + elif Teff <= 30000: lg_min = 4 + else: raise ValueError('Teff must be less than or equal to 30000.') + + if log_glg_max: + raise ValueError('log_g must be less than {}'.format(lg_max)) + + # Grid of log g values + logg_grid = np.arange(lg_min, lg_max+lg_step, lg_step) + + # Grid of metallicity values + metal_grid = np.arange(-2.5,0.75,0.25) + + # First, choose the two grid points closest in Teff + teff_diff = np.abs(teff_grid - Teff) + ind_sort = np.argsort(teff_diff) + if teff_diff[ind_sort[0]]==0: # Exact + teff_best = np.array([teff_grid[ind_sort[0]]]) + else: # Want to interpolate + teff_best = teff_grid[ind_sort[0:2]] + + # Choose the two best log g values + logg_diff = np.abs(logg_grid - log_g) + ind_sort = np.argsort(logg_diff) + if logg_diff[ind_sort[0]]==0: # Exact + logg_best = np.array([logg_grid[ind_sort[0]]]) + else: # Want to interpolate + logg_best = logg_grid[ind_sort[0:2]] + + # Choose the two best metallicity values + metal_diff = np.abs(metal_grid - metallicity) + ind_sort = np.argsort(metal_diff) + if metal_diff[ind_sort[0]]==0: # Exact + metal_best = np.array([metal_grid[ind_sort[0]]]) + else: # Want to interpolate + metal_best = metal_grid[ind_sort[0:2]] + + # Build files names for all combinations + teff_names = np.array(['t{:04.0f}'.format(n) for n in teff_best]) + logg_names = np.array(['g{:02.0f}'.format(int(n*10)) for n in logg_best]) + metal_names = np.array(['mp{:02.0f}'.format(int(abs(n*10)+0.5)) for n in metal_best]) + ind_n = np.where(metal_best<0)[0] + for i in range(len(ind_n)): + j = ind_n[i] + s = metal_names[j] + metal_names[j] = s.replace('p', 'm') + + # Build final file names + fnames = [] + rstr = 'b{}'.format(res) + for t in teff_names: + for l in logg_names: + for m in metal_names: + fname = 'a{}cp00op00{}{}v20modrt0{}rs.fits'.format(m,t,l,rstr) + fnames.append(fname) + + # Weight by relative distance from desired value + weights = [] + teff_diff = np.abs(teff_best - Teff) + logg_diff = np.abs(logg_best - log_g) + metal_diff = np.abs(metal_best - metallicity) + for t in teff_diff: + wt = 1 if len(teff_diff)==1 else t / np.sum(teff_diff) + for l in logg_diff: + wl = 1 if len(logg_diff)==1 else l / np.sum(logg_diff) + for m in metal_diff: + wm = 1 if len(metal_diff)==1 else m / np.sum(metal_diff) + weights.append(wt*wl*wm) + weights = np.array(weights) + weights = weights / np.sum(weights) + + if interpolate: + wave_all = [] + flux_all = [] + for i, f in enumerate(fnames): + d = fits.getdata(res_dir+f, 1) + wave_all.append(d['Wavelength']) + flux_all.append(d['SpecificIntensity'] * weights[i]) + + wfin = wave_all[0] + ffin = np.pi * np.array(flux_all).sum(axis=0) # erg/s/cm^2/A + else: + ind = np.where(weights==weights.max())[0][0] + f = fnames[ind] + d = fits.getdata(res_dir+f, 1) + wfin = d['Wavelength'] + ffin = np.pi * d['SpecificIntensity'] # erg/s/cm^2/A + + Teff = teff_best[ind] + log_g = logg_best[ind] + metallicity = metal_best[ind] + + + name = 'BOSZ(Teff={},z={},logG={})'.format(Teff,metallicity,log_g) + sp = S.ArraySpectrum(wfin, ffin, 'angstrom', 'flam', name=name) + + return sp + + def stellar_spectrum(sptype, *renorm_args, **kwargs): """ @@ -2249,7 +2127,8 @@ def stellar_spectrum(sptype, *renorm_args, **kwargs): Flat spectrum (in photlam) are also allowed via the 'flat' string. - Use catname keyword for 'ck04models' + Use catname='ck04models' keyword for ck04 models + Use catname='bosz' for BOSZ stellar atmosphere (ATLAS9) """ @@ -2335,8 +2214,11 @@ def sort_sptype(typestr): sp.name = 'Flat spectrum in photlam' elif sptype in sptype_list: v0,v1,v2 = lookuptable[sptype] - - sp = S.Icat(catname, v0, v1, v2) + + if 'bosz' in catname.lower(): + sp = BOSZ_spectrum(v0, v1, v2, **kwargs) + else: + sp = S.Icat(catname, v0, v1, v2) sp.name = sptype else: # Interpolate values for undefined sptype # Sort the list and return their rank values @@ -2352,8 +2234,11 @@ def sort_sptype(typestr): v1 = np.interp(rank, rank_list, tup_list1) v2 = np.interp(rank, rank_list, tup_list2) - if ('ck04models' in catname.lower()) and (v0<3500): v0 = 3500 - sp = S.Icat(catname, v0, v1, v2) + if 'bosz' in catname.lower(): + sp = BOSZ_spectrum(v0, v1, v2, **kwargs) + else: + if ('ck04models' in catname.lower()) and (v0<3500): v0 = 3500 + sp = S.Icat(catname, v0, v1, v2) sp.name = sptype #print(int(v0),v1,v2) @@ -2398,6 +2283,10 @@ def zodi_spec(zfact=None, locstr=None, year=None, day=None, **kwargs): location and observing time. The two blackbodies will be scaled to the 1.0 and 5.5 um emission. See the help website for more details: http://irsa.ipac.caltech.edu/applications/BackgroundModel/docs/dustProgramInterface.html + locstr - Object name, RA/DEC in decimal degrees or sexigesimal input + year - Year of observation + day - Day of observation + """ if zfact is None: zfact = 2.5 @@ -2541,6 +2430,273 @@ def fetch_url(url): # # return sp_zodi +# Class for reading in planet spectra +class planets_sb12(object): + """ + Exoplanet spectrum from Spiegel & Burrows (2012) + + This contains 1680 files, one for each of 4 atmosphere types, each of + 15 masses, and each of 28 ages. Wavelength range of 0.8 - 15.0 um at + moderate resolution (R ~ 204). + + The flux in the source files are at 10 pc. If the distance is specified, + then the flux will be scaled accordingly. This is also true if the distance + is changed by the user. All other properties (atmo, mass, age, entropy) are + not adjustable once loaded. + + Arguments: + atmo: A string consisting of one of four atmosphere types: + hy1s = hybrid clouds, solar abundances + hy3s = hybrid clouds, 3x solar abundances + cf1s = cloud-free, solar abundances + cf3s = cloud-free, 3x solar abundances + mass: Integer number 1 to 15 Jupiter masses. + age: Age in millions of years (1-1000) + entropy: Initial entropy (8.0-13.0) in increments of 0.25 + distance: Assumed distance in pc (default is 10pc) + base_dir: Location of atmospheric model sub-directories. + """ + + # Define default self.base_dir + base_dir = conf.PYNRC_PATH + 'spiegel/' + + def __init__(self, atmo='hy1s', mass=1, age=100, entropy=10.0, + distance=10, base_dir=None, + accr=False, mmdot=None, mdot=None, accr_rin=2.0, truncated=False, + **kwargs): + + self._atmo = atmo + self._mass = mass + self._age = age + self._entropy = entropy + + if base_dir is not None: + self.base_dir = base_dir + self.sub_dir = self.base_dir + 'SB.' + self.atmo + '/' + + self.get_file() + self.read_file() + self.distance = distance + + self.accr = accr + if not accr: + self.mmdot = 0 + elif mmdot is not None: + self.mmdot = mmdot + elif mdot is not None: + self.mmdot = self.mass * mdot # MJup^2/yr + else: + mdot = self.mass / (1e6 * self.age) # Assumed MJup/yr + self.mmdot = self.mass * mdot # MJup^2/yr + + self.rin = accr_rin + self.truncated = truncated + + def get_file(self): + files = []; masses = []; ages = [] + for file in os.listdir(self.sub_dir): + files.append(file) + fsplit = re.split('[_\.]',file) + ind_mass = fsplit.index('mass') + 1 + ind_age = fsplit.index('age') + 1 + masses.append(int(fsplit[ind_mass])) + ages.append(int(fsplit[ind_age])) + files = np.array(files) + ages = np.array(ages) + masses = np.array(masses) + + # Find those indices closest in mass + mdiff = np.abs(masses - self.mass) + ind_mass = mdiff == np.min(mdiff) + + # Of those masses, find the closest age + adiff = np.abs(ages - self.age) + ind_age = adiff[ind_mass] == np.min(adiff[ind_mass]) + + # Get the final file name + self.file = ((files[ind_mass])[ind_age])[0] + + def read_file(self): + # Read in the file's content row-by-row (saved as a string) + with open(self.sub_dir + self.file) as f: + content = f.readlines() + content = [x.strip('\n') for x in content] + + # Parse the strings into an array + # Row #, Value + # 1 col 1: age (Myr); + # cols 2-601: wavelength (in microns, in range 0.8-15.0) + # 2-end col 1: initial S; + # cols 2-601: F_nu (in mJy for a source at 10 pc) + + ncol = len(content[0].split()) + nrow = len(content) + arr = np.zeros([nrow,ncol]) + for i,row in enumerate(content): + arr[i,:] = np.array(content[i].split(), dtype='float64') + + # Find the closest entropy and save + entropy = arr[1:,0] + diff = np.abs(self.entropy - entropy) + ind = diff == np.min(diff) + self._flux = arr[1:,1:][ind,:].flatten() + self._fluxunits = 'mJy' + + # Save the wavelength information + self._wave = arr[0,1:] + self._waveunits = 'um' + + # Distance (10 pc) + self._distance = 10 + + @property + def mdot(self): + return self.mmdot / self.mass + + @property + def wave(self): + return self._wave + @property + def waveunits(self): + return self._waveunits + + @property + def flux(self): + return self._flux + @property + def fluxunits(self): + return self._fluxunits + + @property + def distance(self): + """Assumed distance to source (pc)""" + return self._distance + @distance.setter + def distance(self, value): + self._flux *= (self._distance/value)**2 + self._distance = value + + @property + def atmo(self): + """ + A string consisting of one of four atmosphere types: + hy1s = hybrid clouds, solar abundances + hy3s = hybrid clouds, 3x solar abundances + cf1s = cloud-free, solar abundances + cf3s = cloud-free, 3x solar abundances + """ + return self._atmo + @property + def mass(self): + """Jupiter masses""" + return self._mass + @property + def age(self): + """Age in millions of years""" + return self._age + @property + def entropy(self): + """Initial entropy (8.0-13.0)""" + return self._entropy + + def export_pysynphot(self, waveout='angstrom', fluxout='flam'): + w = self.wave; f = self.flux + name = (re.split('[\.]', self.file))[0]#[5:] + sp = S.ArraySpectrum(w, f, name=name, waveunits=self.waveunits, fluxunits=self.fluxunits) + + sp.convert(waveout) + sp.convert(fluxout) + + if self.accr and (self.mmdot>0): + sp_mdot = sp_accr(self.mmdot, rin=self.rin, + dist=self.distance, truncated=self.truncated, + waveout=waveout, fluxout=fluxout) + # Interpolate accretion spectrum at each wavelength + # and create new composite spectrum + fnew = np.interp(sp.wave, sp_mdot.wave, sp_mdot.flux) + sp_new = S.ArraySpectrum(sp.wave, sp.flux+fnew, + waveunits=waveout, fluxunits=fluxout) + return sp_new + else: + return sp + + +# Turns out the paper is Spiegel & Burrows (2012), not 2011 +class planets_sb11(planets_sb12): + + """ + Deprecated version of planets_sb12 class. Use that instead. + """ + + def __init__(self, *args, **kwargs): + + _log.warning('planets_sb11 is depcrecated. Use planets_sb12 instead.') + planets_sb12.__init__(self, *args, **kwargs) + + +def sp_accr(mmdot, rin=2, dist=10, truncated=False, + waveout='angstrom', fluxout='flam'): + + """ + mmdot : Product of the exoplanet mass and mass accretion rate (MJup^2/yr) + Values range from 1e-7 to 1e-2. + rin : disk inner radius in terms of R_Jup. + Values rnage from 1 to 4. + dist : Distance to object (pc) + + truncated : If True, then the values are for a disk with Rout=50 RJup, + otherwise, values were calculated for a full disk (Rout=1000 RJup). + Accretion from a "tuncated disk" is due mainly to MRI. + Luminosities for full and truncated disks are very similar. + """ + + base_dir = conf.PYNRC_PATH + 'spiegel/' + fname = base_dir + 'zhu15_accr.txt' + + names = ('MMdot', 'Rin', 'Tmax', 'J', 'H', 'K', 'L', 'M', 'N', 'J2', 'H2', 'K2', 'L2', 'M2', 'N2') + tbl = ascii.read(fname, guess=True, names=names) + + # Inner radius values and Mdot values + rin_vals = np.unique(tbl['Rin']) + mdot_vals = np.unique(tbl['MMdot']) + nmdot = len(mdot_vals) + + assert (rin >=rin_vals.min()) & (rin <=rin_vals.max()) + assert (mmdot>=mdot_vals.min()) & (mmdot<=mdot_vals.max()) + + if truncated: + mag_names = ('J2', 'H2', 'K2', 'L2', 'M2', 'N2') + else: + mag_names = ('J', 'H', 'K', 'L', 'M', 'N') + wcen = np.array([ 1.2, 1.6, 2.2, 3.8, 4.8, 10.0]) + zpt = np.array([1600, 1020, 657, 252, 163, 39.8]) + + mag_arr = np.zeros([6,nmdot]) + for i, mv in enumerate(mdot_vals): + for j, mag in enumerate(mag_names): + tbl_sub = tbl[tbl['MMdot']==mv] + rinvals = tbl_sub['Rin'] + magvals = tbl_sub[mag] + + mag_arr[j,i] = np.interp(rin, rinvals, magvals) + + mag_vals = np.zeros(6) + for j in range(6): + xi = 10**(mmdot) + xp = 10**(mdot_vals) + yp = 10**(mag_arr[j]) + mag_vals[j] = np.log10(np.interp(xi, xp, yp)) + + mag_vals += 5*np.log10(dist/10) + flux_Jy = 10**(-mag_vals/2.5) * zpt + + sp = S.ArraySpectrum(wcen*1e4, flux_Jy, fluxunits='Jy') + sp.convert(waveout) + sp.convert(fluxout) + + return sp + + ########################################################################### # @@ -2762,6 +2918,7 @@ def coron_trans(name, module='A', pixscale=None, fov=20): def build_mask(module='A', pixscale=0.03): """ Return an image of the full coronagraphic mask layout for a given module. + +V3 is up, and +V2 is to the left. """ if module=='A': names = ['MASK210R', 'MASK335R', 'MASK430R', 'MASKSWB', 'MASKLWB'] @@ -2780,9 +2937,8 @@ def build_mask(module='A', pixscale=0.03): # ########################################################################### - -def nrc_header(det_class, filter=None, pupil=None, obs_time=None, header=None): - +def nrc_header(det_class, filter=None, pupil=None, obs_time=None, header=None, + DMS=True,targ_name=None): """ Create a generic NIRCam FITS header from a detector_ops class. @@ -2790,7 +2946,9 @@ def nrc_header(det_class, filter=None, pupil=None, obs_time=None, header=None): =========== filter (str) : Name of filter element. pupil (str) : Name of pupil element. - + DMS (bool): + Make the header in a format used by Data Management Systems + obs_time (datetime): Specifies when the observation was considered to be executed. If not specified, then it will choose the current time. @@ -2799,10 +2957,17 @@ def nrc_header(det_class, filter=None, pupil=None, obs_time=None, header=None): header (obj) : Can pass an existing header that will be updated. This has not been fully tested + + targ_name (str) : + Standard astronomical catalog name for a target + Otherwise, it will be UNKOWN """ + + from .version import __version__ filter = 'UNKNOWN' if filter is None else filter pupil = 'UNKNOWN' if pupil is None else pupil + targ_name = 'UNKNOWN' if targ_name is None else targ_name d = det_class # MULTIACCUM ramp information @@ -2834,7 +2999,9 @@ def nrc_header(det_class, filter=None, pupil=None, obs_time=None, header=None): # ramp_time does not include reset frames!! tdel = ma.nint * (d.time_int + d.time_frame) + d._exp_delay dtstart = obs_time.isoformat() + aTstart = Time(dtstart) dtend = (obs_time + datetime.timedelta(seconds=tdel)).isoformat() + aTend = Time(dtend) dstart = dtstart[:10]; dend = dtend[:10] tstart = dtstart[11:-3]; tend = dtend[11:-3] tsample = 1e6/d._pixel_rate @@ -2847,11 +3014,19 @@ def nrc_header(det_class, filter=None, pupil=None, obs_time=None, header=None): # Add in basic header info hdr['SIMPLE'] = (True, 'conforms to FITS standard') hdr['BITPIX'] = (16, 'array data type') - hdr['NAXIS'] = (naxis, 'number of array dimensions') - hdr['NAXIS1'] = naxis1 - hdr['NAXIS2'] = naxis2 - if hdr_update: hdr.pop('NAXIS3', None) - if naxis == 3: hdr['NAXIS3'] = (naxis3, 'length of third data axis') + if DMS == True: + hdr['SUBSTRT1'] = (x1+1, 'Starting pixel in axis 1 direction') + hdr['SUBSTRT2'] = (y1+1, 'Starting pixel in axis 2 direction') + hdr['SUBSIZE1'] = naxis1 + hdr['SUBSIZE2'] = naxis2 + hdr['NAXIS'] = (naxis, 'number of array dimensions') + else: + hdr['NAXIS'] = (naxis, 'number of array dimensions') + hdr['NAXIS1'] = naxis1 + hdr['NAXIS2'] = naxis2 + + if hdr_update: hdr.pop('NAXIS3', None) + if naxis == 3: hdr['NAXIS3'] = (naxis3, 'length of third data axis') hdr['EXTEND'] = True hdr['DATE'] = ('', 'date file created (yyyy-mm-ddThh:mm:ss,UTC)') @@ -2868,15 +3043,65 @@ def nrc_header(det_class, filter=None, pupil=None, obs_time=None, header=None): hdr['OBSERVER']= ('UNKNOWN', 'person responsible for acquiring data') hdr['DATE-OBS']= (dstart, 'UT date of observation (yyyy-mm-dd)') hdr['TIME-OBS']= (tstart, 'Approximate UT time of start of observation (hh:mm:ss.sss)') + if DMS == True: + if 'GRISM' in pupil: + exp_type = 'NRC_GRISM' + elif pupil == None: + exp_type = 'UNKOWN' + else: + exp_type = 'NRC_IMAGE' + hdr['EXP_TYPE'] = (exp_type,'Type of data in the exposure') hdr['DATE-END']= (dend, 'UT date of end of observation(yyyy-mm-dd)') hdr['TIME-END']= (tend, 'UT time of end of observation (hh:mm:ss.sss)') hdr['SCA_ID'] = (d.scaid, 'Unique SCA identification in ISIM') hdr['DETECTOR']= (d.detname, 'ASCII Mnemonic corresponding to the SCA_ID') hdr['PIXELSCL']= (d.pixelscale, 'Detector Pixel Scale (arcsec/pixel)') - fovx = naxis1 * d.pixelscale; fovy = naxis2 * d.pixelscale + + nx_noref = naxis1 - ref_all[2] - ref_all[3] + ny_noref = naxis2 - ref_all[0] - ref_all[1] + fovx = nx_noref * d.pixelscale + fovy = ny_noref * d.pixelscale hdr['FOV'] = ('{:.2f}x{:.2f}'.format(fovx,fovy), 'Field of view in arcsec') - hdr['TARGNAME']= ('UNKNOWN', 'Target name') + + if DMS == True: + hdr['TARG_RA']= (80.4875, 'Target RA at mid time of exposure') #arbitrary position + hdr['TARG_DEC']= (-69.498333, 'Target Dec at mid time of exposure') #arbitrary position + + hdr['PROGRAM'] = ('12345', 'Program number') + hdr['OBSERVTN']= ('001', 'Observation number') + hdr['VISIT'] = ('001', 'Visit Number') + hdr['VISITGRP']= ('01', 'Visit Group Identifier') + + hdr['SEQ_ID'] = ('1', 'Parallel sequence identifier') + hdr['ACT_ID'] = ('1', 'Activity identifier') + hdr['EXPOSURE']= ('1', 'Exposure request number') + hdr['OBSLABEL']= ('Target 1 NIRCam Observation 1', 'Proposer label for the observation') + hdr['EXPSTART']= (aTstart.mjd, 'UTC exposure start time') + hdr['EXPEND'] = (aTend.mjd, 'UTC exposure end time') + hdr['EFFEXPTM']= (d.time_total_int, 'Effective exposure time (sec)') + hdr['NUMDTHPT']= ('1','Total number of points in pattern') + hdr['PATT_NUM']= (1,'Position number in primary pattern') + + hdr['TARGNAME'] = (targ_name, 'Standard astronomical catalog name for target') hdr['OBSMODE'] = ('UNKNOWN', 'Observation mode') + + if DMS == True: + if d.channel == 'LW': + headerChannel = 'LONG' + elif d.channel == 'SW': + headerChannel = 'SHORT' + else: + headerChannel = 'UNKNOWN' + hdr['CHANNEL'] = headerChannel + + hdr['GRATING'] = ('N/A - NIRCam', 'Name of the grating element used') + hdr['BAND'] = ('N/A - NIRCam', 'MRS wavelength band') + hdr['LAMP'] = ('N/A - NIRCam', 'Internal lamp state') + hdr['GWA_XTIL']= ('N/A - NIRCam', 'Grating X tilt angle relative to mirror') + hdr['GWA_YTIL']= ('N/A - NIRCam', 'Grating Y tilt angle relative to mirror') + hdr['GWA_TILT']= ('N/A - NIRCam', 'GWA TILT (avg/calib) temperature (K)') + hdr['MSAMETFL']= ('N/A - NIRCam', 'MSA metadata file name') + hdr['MSAMETID']= ('N/A - NIRCam', 'MSA metadata ID') # Positions of optical elements hdr['FILTER'] = (filter, 'Module ' + d.module + ' ' + d.channel + ' FW element') @@ -2885,10 +3110,19 @@ def nrc_header(det_class, filter=None, pupil=None, obs_time=None, header=None): # Readout Mode hdr['NSAMPLE'] = (1, 'A/D samples per read of a pixel') - hdr['NFRAME'] = (ma.nf, 'Number of frames in group') - hdr['NGROUP'] = (ma.ngroup, 'Number groups in an integration') - hdr['NINT'] = (ma.nint, 'Number of integrations in an exposure') + if DMS == True: + frmName = 'NFRAMES' + grpName = 'NGROUPS' + intName = 'NINTS' + else: + frmName = 'NFRAME' + grpName = 'NGROUP' + intName = 'NINT' + hdr[frmName] = (ma.nf, 'Number of frames in group') + hdr[grpName] = (ma.ngroup, 'Number groups in an integration') + hdr[intName] = (ma.nint, 'Number of integrations in an exposure') + hdr['TSAMPLE'] = (tsample, 'Delta time between samples in microsec') hdr['TFRAME'] = (d.time_frame, 'Time in seconds between frames') hdr['TGROUP'] = (d.time_group, 'Delta time between groups') @@ -2901,9 +3135,35 @@ def nrc_header(det_class, filter=None, pupil=None, obs_time=None, header=None): hdr['NRESETS2']= (1, 'Number of reset frames between each integration') hdr['INTTIME'] = (d.time_int, 'Total integration time for one MULTIACCUM') hdr['EXPTIME'] = (d.time_exp, 'Exposure duration (seconds) calculated') - hdr['SUBARRAY']= (sub_bool, 'T if subarray used, F if not') - hdr['READOUT'] = (ma.read_mode, 'Readout pattern name') - hdr['ZROFRAME']= (False, 'T if zeroth frame present, F if not') + if DMS == True: + if (d.xpix == 2048) & (d.ypix == 2048): + subName = 'FULL' + elif (d.xpix == 640) & (d.ypix == 640): + subName = 'SUB640' + elif (d.xpix == 320) & (d.ypix == 320): + subName = 'SUB320' + elif (d.xpix == 400) & (d.ypix == 400): + subName = 'SUB400P' + elif (d.xpix == 64) & (d.ypix == 64): + subName = 'SUB64P' + elif (d.xpix == 2048) & (d.ypix == 256): + subName = 'SUBGRISM256' + elif (d.xpix == 2048) & (d.ypix == 128): + subName = 'SUBGRISM128' + elif (d.xpix == 2048) & (d.ypix == 64): + subName = 'SUBGRISM64' + else: + subName = 'UNKNOWN' + hdr['SUBARRAY']= (subName, 'Detector subarray string') + else: + hdr['SUBARRAY']= (sub_bool, 'T if subarray used, F if not') + + if DMS == True: + hdr['READPATT']= (ma.read_mode, 'Readout pattern name') + hdr['ZROFRAME']= (True, 'T if zeroth frame present, F if not') + else: + hdr['READOUT'] = (ma.read_mode, 'Readout pattern name') + hdr['ZROFRAME']= (False, 'T if zeroth frame present, F if not') #Reference Data hdr['TREFROW'] = (ref_all[1], 'top reference pixel rows') @@ -2938,6 +3198,9 @@ def nrc_header(det_class, filter=None, pupil=None, obs_time=None, header=None): hdr.insert('ROWCORNR', '', after=True) hdr.insert('ROWCORNR', '', after=True) + + hdr['comment'] = 'Simulated data generated by {} v{}'\ + .format(__package__,__version__) return hdr diff --git a/pynrc/obs_nircam.py b/pynrc/obs_nircam.py new file mode 100644 index 00000000..d865748a --- /dev/null +++ b/pynrc/obs_nircam.py @@ -0,0 +1,1814 @@ +from __future__ import division, print_function, unicode_literals + +from astropy.convolution import convolve_fft, Gaussian2DKernel +from scipy.ndimage.interpolation import rotate +from scipy import fftpack + +# Import libraries +from . import * +from .nrc_utils import * + +import logging +_log = logging.getLogger('pynrc') + +eps = np.finfo(float).eps + +class obs_coronagraphy(NIRCam): + """ + Subclass of the NIRCam instrument class used to observe stars + (plus exoplanets and disks) with either a coronagraph or direct imaging. + + Parameters + ========== + sp_sci/sp_ref : Pysynphot spectra of science and reference sources + distance : Distance in parsecs + wfe_drift : WFE drift of OPDs in nm + offset_list : For coronagraph, incremental offset positions to build PSFs + for accurately determining contrast curves. A default is + applied if set to None. + wind_mode : 'FULL', 'STRIPE', or 'WINDOW' + xpix, ypix : Size of detector readout (assumes subarray). + oversample : PSF oversampling (default=2) + disk_hdu : A model of the disk in photons/sec. This requires header + keywords PIXSCALE (in arcsec/pixel) and DISTANCE (in pc). + """ + + def __init__(self, sp_sci, sp_ref, distance, wfe_drift=10, offset_list=None, + wind_mode='WINDOW', xpix=320, ypix=320, oversample=2, + disk_hdu=None, verbose=False, **kwargs): + + if 'FULL' in wind_mode: xpix = ypix = 2048 + if 'STRIPE' in wind_mode: xpix = 2048 + + #super(NIRCam,self).__init__(**kwargs) + # Not sure if this works for both Python 2 and 3 + NIRCam.__init__(self, wind_mode=wind_mode, xpix=xpix, ypix=ypix, + oversample=2, **kwargs) + + # Spectral models + self.sp_sci = sp_sci + self.sp_ref = sp_ref + self._wfe_drift = wfe_drift + + # Distance to source in pc + self.distance = distance + self._planets = [] + + # Offsets positions to build PSFs + if self.mask is None: + # if no coronagraphic mask, then only 1 PSF + self.offset_list = [0.0] + if offset_list is not None: + print('No coronagraph, so offset_list automatically set to [0.0].') + elif offset_list is None: + self.offset_list = [0.0, 0.1, 0.2, 0.5, 1.0, 2.0] + else: + self.offset_list = offset_list + + if verbose: print("Generating list of PSFs...") + # Faster once PSFs have already been previously generated + log_prev = conf.logging_level + setup_logging('WARN', verbose=False) + self._gen_psf_off() + setup_logging(log_prev, verbose=False) + + self._gen_ref(verbose=verbose) + self._set_xypos() + + # Rescale input disk image to observation parameters + self._disk_hdulist_input = disk_hdu + self._gen_disk_hdulist() + + if verbose: print("Finished.") + + @property + def wfe_drift(self): + """Assumed WFE drift""" + return self._wfe_drift + @wfe_drift.setter + def wfe_drift(self, value): + """Set the WFE drift value (updates self.nrc_ref)""" + # Only update if the value changes + vold = self._wfe_drift; self._wfe_drift = value + if vold != self._wfe_drift: + self._gen_ref() + + def _gen_disk_hdulist(self): + """Create a correctly scaled disk model image""" + if self._disk_hdulist_input is None: + self.disk_hdulist = None + else: + xpix = self.det_info['xpix'] + ypix = self.det_info['ypix'] + oversample = self.psf_info['oversample'] + + disk_hdul = self._disk_hdulist_input + hdr = disk_hdul[0].header + + # Get rid of the central star flux + # and anything interior to 1.2 l/D + image = disk_hdul[0].data + image_rho = dist_image(image, pixscale=self.pix_scale) # Arcsec + fwhm = 206265 * 1.22 * self.bandpass.avgwave() *1E-10 / 6.5 + image[image_rho < (2*fwhm)] = 0 + #mask = (image==image.max()) + #indy,indx = np.where(mask == True) + #image[indy,indx] = 0 + + # Resample disk to detector pixel scale + # args_in = (input pixelscale, input distance) + # args_out = (output pixelscale, output distance) + args_in = (hdr['PIXELSCL'], hdr['DISTANCE']) + args_out = (self.pix_scale, self.distance) + hdulist_out = image_rescale(disk_hdul, args_in, args_out, cen_star=False) + + # Expand to full observation size + hdulist_out[0].data = pad_or_cut_to_size(hdulist_out[0].data, (ypix,xpix)) + self.disk_hdulist = hdulist_out + + + def _gen_ref(self, verbose=False): + """Function to generate Reference observation class""" + + # PSF information + opd = (self.psf_info['opd'][0], self.psf_info['opd'][1], self._wfe_drift) + fov_pix = self.psf_info['fov_pix'] + oversample = self.psf_info['oversample'] + + # Detector information + wind_mode = self.det_info['wind_mode'] + xpix = self.det_info['xpix'] + ypix = self.det_info['ypix'] + + offset_r = self.psf_info['offset_r'] + offset_theta = self.psf_info['offset_theta'] + + # Create a NIRCam reference class + # If it already exists, just update OPD info + try: + nrc = self.nrc_ref + nrc.update_psf_coeff(opd=opd) + except AttributeError: + if verbose: print("Creating NIRCam reference class...") + nrc = NIRCam(self.filter, self.pupil, self.mask, module=self.module, \ + wind_mode=wind_mode, xpix=xpix, ypix=ypix, \ + fov_pix=fov_pix, oversample=oversample, opd=opd, + offset_r=offset_r, offset_theta=offset_theta) + self.nrc_ref = nrc + + + def _gen_psf_off(self): + """ + Create instances of NIRCam observations that are incrementally offset + from coronagraph center to determine maximum value of the detector- + sampled PSF for determination of contrast. Also saves the list of + PSFs for later retrieval. + """ + + # If no mask, then the PSF looks the same at all radii + if self.mask is None: + psf = self.gen_psf() + self.psf_max_vals = ([0,10], [psf.max(),psf.max()]) # radius and psf max + self.psf_offsets = [self] + self.psf_list = [psf] + else: + psf_off = [] + psf_max = [] + self.psf_list = [] + self.psf_offsets = [] + for offset in self.offset_list: + + # Full FoV + fov_pix = 2 * np.max(self.offset_list) / self.pix_scale + # Increase to the next power of 2 and make odd + fov_pix = int(2**np.ceil(np.log2(fov_pix)+1)) + oversample = self.psf_info['oversample'] + + nrc_inst = NIRCam(self.filter, self.pupil, self.mask, \ + fov_pix=fov_pix, oversample=oversample, \ + offset_r=offset) + # Append offsets and PSF max values + psf = nrc_inst.gen_psf() + psf_off.append(offset) + psf_max.append(psf.max()) + self.psf_offsets.append(nrc_inst) + + # Shift to center + offset_pix = -offset / nrc_inst.pix_scale + psf = fshift(psf, dely=offset_pix, pad=True) + self.psf_list.append(psf) + + + # Add background PSF info (without mask) for large distance + psf_off.append(np.max([np.max(self.offset_list)+1, 4])) + psf_max.append(self.gen_psf(use_bg_psf=True).max()) + self.psf_max_vals = (psf_off, psf_max) + + def _set_xypos(self): + """ + Set x0 and y0 subarray positions. + Needs to be more specific for SW+335R and LW+210R as well as + for different modules. + """ + xpix = self.det_info['xpix'] + ypix = self.det_info['ypix'] + x0 = self.det_info['x0'] + y0 = self.det_info['y0'] + mask = self.mask + wind_mode = self.det_info['wind_mode'] + + # Coronagraphic Mask + if ((x0==0) and (y0==0)) and ((mask is not None) and ('MASK' in mask)) \ + and ('FULL' not in wind_mode): + # Default positions (really depends on xpix/ypix) + if 'LWB' in mask: + x0=275; y0=1508 + elif 'SWB' in mask: + x0=171; y0=236 + elif '430R' in mask: + x0=916; y0=1502 + elif '335R' in mask: + x0=1238; y0=1502 + elif '210R' in mask: + x0=392; y0=224 + + # Make sure subarray sizes don't push out of bounds + if (y0 + ypix) > 2048: y0 = 2048 - ypix + if (x0 + xpix) > 2048: x0 = 2048 - xpix + + self.update_detectors(x0=x0, y0=y0) + + + def planet_spec(self, Av=0, **kwargs): + """ + Return the planet spectrum from Spiegel & Burrows (2012) normalized + to distance of current target. + + Parameters: + Av: Extinction magnitude (assumes Rv=4.0) + atmo: A string consisting of one of four atmosphere types: + hy1s = hybrid clouds, solar abundances + hy3s = hybrid clouds, 3x solar abundances + cf1s = cloud-free, solar abundances + cf3s = cloud-free, 3x solar abundances + mass: Integer number 1 to 15 Jupiter masses. + age: Age in millions of years (1-1000) + entropy: Initial entropy (8.0-13.0) in increments of 0.25 + + accr: Include accretion (default: False)? + mmdot: From Zhu et al. (2015), the Mjup^2/yr value. + If set to None then calculated from age and mass. + mdot: Or use mdot (Mjup/yr) instead of mmdot. + accr_rin: Inner radius of accretion disk (units of RJup; default: 2) + truncated: Full disk or truncated (ie., MRI; default: False)? + """ + # Create planet class and convert to Pysynphot spectrum + planet = planets_sb12(distance=self.distance, **kwargs) + sp = planet.export_pysynphot() + + # Add extinction from the disk + Rv = 4.0 + if Av>0: sp *= S.Extinction(Av/Rv,name='mwrv4') + + return sp + + + @property + def planets(self): + """Planet info (if any exists)""" + return self._planets + + def add_planet(self, atmo='hy3s', mass=10, age=100, entropy=10, + rtheta=(0,0), runits='AU', Av=0, renorm_args=None, sptype=None, + accr=False, mmdot=None, mdot=None, accr_rin=2, truncated=False): + """ + Add exoplanet information that will be used to generate a point + source image using a spectrum from Spiegel & Burrows (2012). + Use self.kill_planets() to delete them. + + Coordinate convention is for +V3 up and +V2 to left. + + Parameters: + atmo: A string consisting of one of four atmosphere types: + hy1s = hybrid clouds, solar abundances + hy3s = hybrid clouds, 3x solar abundances + cf1s = cloud-free, solar abundances + cf3s = cloud-free, 3x solar abundances + mass : Integer number 1 to 15 Jupiter masses. + age : Age in millions of years (1-1000) + entropy : Initial entropy (8.0-13.0) in increments of 0.25 + + sptype : Instead of using a exoplanet spectrum, specify a stellar type. + + renorm_args : Pysynphot renormalization arguments in case you want + very specific luminosity in some bandpass + Includes (value, units, bandpass). + + rtheta : Radius and position angle relative to star (center). + runits : What units is radius? Valid values are 'AU', 'asec', or 'pix'. + Av : Extinction magnitude (assumes Rv=4.0). + """ + + # Size of subarray image in terms of pixels + image_shape = (self.det_info['ypix'], self.det_info['xpix']) + + # XY location of planets within subarray with units from runits keyword + loc = rtheta_to_xy(rtheta[0], rtheta[1]) + + # Define pixel location relative to the center of the subarray + au_per_pixel = self.distance*self.pix_scale + if 'AU' in runits: + xoff, yoff = np.array(loc) / au_per_pixel + elif ('asec' in runits) or ('arcsec' in runits): + xoff, yoff = np.array(loc) / self.pix_scale + elif ('pix' in runits): + xoff, yoff = loc + else: + errstr = "Do not recognize runits='{}'".format(runits) + raise ValueError(errstr) + + # Offset in terms of arcsec + xoff_asec, yoff_asec = np.array([xoff, yoff]) * self.pix_scale + _log.debug('(xoff,yoff) = {} pixels'.format((xoff,yoff))) + _log.debug('(xoff_asec,yoff_asec) = {} arcsec'.format((xoff_asec,yoff_asec))) + + # Make sure planet is within image bounds + sh_diff = np.abs(np.array([yoff,xoff])) - np.array(image_shape)/2 + if np.any(sh_diff>=0): + _log.warning('xoff,yoff = {} is beyond image boundaries.'.format((xoff,yoff))) + + # X and Y pixel offsets from center of image + # Dictionary of planet info + if sptype is None: + d = {'xyoff_pix':(xoff,yoff), 'atmo':atmo, 'mass':mass, 'age':age, + 'entropy':entropy, 'Av':Av, 'renorm_args':renorm_args, + 'accr':accr, 'mmdot':mmdot, 'mdot':mdot, 'accr_rin':accr_rin, + 'truncated':truncated} + else: + d = {'xyoff_pix':(xoff,yoff), 'sptype':sptype, 'Av':Av, + 'renorm_args':renorm_args} + self._planets.append(d) + + + def gen_planets_image(self, PA_offset=0): + """ + Use info stored in self.planets to create a noiseless slope image + of just the exoplanets (no star). + + Coordinate convention is for +V3 up and +V2 to left. + + PA_offset (float) : Rotate entire scene by some position angle. + Positive values are counter-clockwise from +Y direction. + Corresponds to instrument aperture PA. + """ + if len(self.planets)==0: + _log.info("No planet info at self.planets") + return 0 + + if PA_offset is None: PA_offset=0 + + image_shape = (self.det_info['ypix'], self.det_info['xpix']) + image = np.zeros(image_shape) + for pl in self.planets: + # Choose the PSF closest to the planet position + xoff, yoff = pl['xyoff_pix'] + + # Add in PA offset + if PA_offset!=0: + #r, theta = xy_to_rtheta(xoff, yoff) + #xoff, yoff = rtheta_to_xy(r, theta+PA_offset) + xoff, yoff = xy_rot(xoff, yoff, PA_offset) + + xoff_asec, yoff_asec = np.array(pl['xyoff_pix']) * self.pix_scale + if len(self.offset_list) > 1: + if 'WB' in self.mask: # Bar mask + roff_asec = np.abs(yoff_asec) + else: # Circular symmetric + roff_asec = np.sqrt(xoff_asec**2 + yoff_asec**2) + + roff_asec = np.sqrt(xoff_asec**2 + yoff_asec**2) + abs_diff = np.abs(np.array(self.offset_list)-roff_asec) + ind = np.where(abs_diff == abs_diff.min())[0][0] + else: + ind = 0 + + # Create slope image (postage stamp) of planet + if pl.get('sptype') is None: + sp = self.planet_spec(**pl) + else: + sp = stellar_spectrum(pl['sptype']) + renorm_args = pl['renorm_args'] + if (renorm_args is not None) and (len(renorm_args) > 0): + sp_norm = sp.renorm(*renorm_args) + sp_norm.name = sp.name + sp = sp_norm + + psf_planet = self.psf_offsets[ind].gen_psf(sp) + + # This is offset according to offset_list + # First, shift to center + offset_pix = -self.offset_list[ind] / self.pix_scale + psf_planet = fshift(psf_planet, dely=offset_pix, pad=True) + + # Expand to full size + psf_planet = pad_or_cut_to_size(psf_planet, image_shape) + + # Shift to final position and add to image + #psf_planet = fshift(psf_planet, delx=xpix-xcen, dely=ypix-ycen, pad=True) + image += fshift(psf_planet, delx=xoff, dely=yoff, pad=True) + + return image + + def kill_planets(self): + self._planets = [] + + + def gen_disk_image(self, PA_offset=0): + """ + Generate a (noiseless) convolved image of the disk at some PA offset. + The PA offset value will rotate the image CCW. Units of e-/sec. + + Coordinate convention is for +V3 up and +V2 to left. + """ + + if self.disk_hdulist is None: + return 0.0 + + # Final image shape + image_shape = ypix, xpix = (self.det_info['ypix'], self.det_info['xpix']) + + # The detector-sampled disk image + disk_image = self.disk_hdulist[0].data + header = self.disk_hdulist[0].header + if PA_offset!=0: + disk_image = rotate(disk_image, -PA_offset, reshape=False) + + if len(self.offset_list) == 1: # Direct imaging + psf = self.psf_list[0] + image_conv = convolve_fft(disk_image, psf, fftn=fftpack.fftn, + ifftn=fftpack.ifftn, allow_huge=True) + else: + noff = len(self.offset_list) + + if 'WB' in self.mask: # Bar mask + ind1, ind2 = np.indices(image_shape) + image_rho = np.abs(ind1 - ypix/2) + else: # Circular symmetric + image_rho = dist_image(disk_image, pixscale=header['PIXELSCL']) + worker_arguments = [(psf, disk_image, image_rho, self.offset_list, i) + for i,psf in enumerate(self.psf_list)] + + npix = ypix*xpix + nproc = nproc_use_convolve(npix, 1, noff) + if nproc<=1: + imconv_slices = map(_wrap_convolve_for_mp, worker_arguments) + else: + pool = mp.Pool(nproc) + try: + imconv_slices = pool.map(_wrap_convolve_for_mp, worker_arguments) + except Exception as e: + print('Caught an exception during multiprocess:') + raise e + finally: + pool.close() + + # Turn into a numpy array of shape (noff,nx,ny) + imconv_slices = np.array(imconv_slices) + + # Sum all images together + image_conv = imconv_slices.sum(axis=0) + + image_conv[image_conv<0] = 0 + return image_conv + + + + def star_flux(self, fluxunit='counts'): + """ + Return the stellar flux in whatever units, such as + vegamag, counts, or Jy. + """ + + # Create pysynphot observation + bp = self.bandpass + obs = S.Observation(self.sp_sci, bp, binset=bp.wave) + + return obs.effstim(fluxunit) + + + def calc_contrast(self, hdu_diff=None, roll_angle=10, nsig=1, + exclude_disk=True, exclude_planets=True, **kwargs): + """ + Generate n-sigma contrast curve for the current observation settings. + Make sure that MULTIACCUM parameters are set in both the main + class (self.update_detectors()) as well as the reference target + class (self.nrc_ref.update_detectors()). + + roll_angle : Telescope roll angle (deg) between two observations. + If set to 0 or None, then only one roll will be performed. + If value is >0, then two rolls are performed, each using the + specified MULTIACCUM settings (doubling the effective exposure + time). + nsig : n-sigma contrast curve + + + **kwargs + ========== + zfact : Zodiacal background factor (default=2.5) + exclude_disk : Ignore disk when generating image + exclude_planets : Ignore planets when generating image + exclude_noise : Don't add random Gaussian noise (detector+photon) + + + Returns 3 arrays in a tuple: + radius in arcsec + n-sigma contrast + n-sigma magnitude limit (vega mags) + """ + from astropy.convolution import convolve, Gaussian1DKernel + + + # If no HDUList is passed, then create one + if hdu_diff is None: + PA1 = 0 + PA2 = None if abs(roll_angle) < eps else roll_angle + hdu_diff = self.gen_roll_image(PA1=PA1, PA2=PA2, + exclude_disk=exclude_disk, + exclude_planets=exclude_planets, **kwargs) + + + # Radial noise + data = hdu_diff[0].data + header = hdu_diff[0].header + rho = dist_image(data, pixscale=header['PIXELSCL']) + + # Get radial profiles + binsize = header['OVERSAMP'] * header['PIXELSCL'] + bins = np.arange(rho.min(), rho.max() + binsize, binsize) + igroups, _, rr = nrc_utils.hist_indices(rho, bins, True) + stds = nrc_utils.binned_statistic(igroups, data, func=np.std) + stds = convolve(stds, Gaussian1DKernel(1)) + + # Ignore corner regions + arr_size = np.min(data.shape) * header['PIXELSCL'] + mask = rr < (arr_size/2) + rr = rr[mask] + stds = stds[mask] + + # Normalized PSF radial standard deviation + # Divide out count rate + stds = stds / self.star_flux() + + # Grab the normalized PSF values generated on init + psf_off_list, psf_max_list = self.psf_max_vals + psf_off_list.append(rr.max()) + psf_max_list.append(psf_max_list[-1]) + # Interpolate at each radial position + psf_max = np.interp(rr, psf_off_list, psf_max_list) + # Normalize and multiply by psf max + contrast = stds / psf_max + # Sigma limit + contrast *= nsig + + # Magnitude sensitivity + star_mag = self.star_flux('vegamag') + sen_mag = star_mag - 2.5*np.log10(contrast) + + return (rr, contrast, sen_mag) + + def gen_roll_image(self, PA1=0, PA2=10, zfact=None, oversample=None, + exclude_disk=False, exclude_planets=False, exclude_noise=False, + opt_diff=True): + """ + Create a final roll-subtracted slope image based on current observation + settings. Coordinate convention is for +V3 up and +V2 to left. + + Procedure: + - Create Roll 1 and Roll 2 slope images (star+exoplanets) + - Create Reference Star slope image + - Add random Gaussian noise to all images + - Subtract ref image from both rolls + - De-rotate Roll 2 by roll_angle amplitude + - Average Roll 1 and de-rotated Roll 2 + + Parameters + ========== + PA1 : Position angle of first roll position (clockwise, from East to West) + PA2 : Position angle of second roll position (optional) + If set equal to PA1 (or to None), then only one roll will be performed. + Otherwise, two rolls are performed, each using the specified + MULTIACCUM settings (doubling the effective exposure time). + zfact : Zodiacal background factor (default=2.5) + oversample : Set oversampling of final image. + + exclude_disk : Ignore disk when subtracted image (for radial contrast), + but still add Poisson noise from disk. + exclude_noise : Don't add random Gaussian noise (detector+photon) + + Returns an HDUList of final image (North rotated upwards). + """ + + # Final image shape + xpix, ypix = (self.det_info['xpix'], self.det_info['ypix']) + image_shape = (ypix, xpix) + # Sub-image for determining ref star scale factor + subsize = 50 + xsub = np.min([subsize,xpix]) + ysub = np.min([subsize,ypix]) + sub_shape = (ysub, xsub) + + # Position angle decisions + if PA2 is None: + roll_angle = 0 + else: + roll_angle = PA2 - PA1 + if oversample is None: oversample = 1 + + sci = self + ref = self.nrc_ref + + # Reference star slope simulation + # Ideal slope + im_ref = ref.gen_psf(sci.sp_ref, return_oversample=False) + im_ref = pad_or_cut_to_size(im_ref, image_shape) + im_ref_sub = pad_or_cut_to_size(im_ref, sub_shape) + # Noise per pixel + if not exclude_noise: + det = ref.Detectors[0] + fzodi = ref.bg_zodi(zfact) + im_noise = det.pixel_noise(fsrc=im_ref, fzodi=fzodi) + # Add random noise + im_ref += np.random.normal(scale=im_noise) + + # Stellar PSF is fixed + im_star = sci.gen_psf(sci.sp_sci, return_oversample=False) + im_star = pad_or_cut_to_size(im_star, image_shape) + + # Disk and Planet images + im_disk_r1 = sci.gen_disk_image(PA_offset=PA1) + im_pl_r1 = sci.gen_planets_image(PA_offset=PA1) + + # Telescope Roll 1 + im_roll1 = im_star + im_disk_r1 + im_pl_r1 + # Noise per pixel + if not exclude_noise: + det = sci.Detectors[0] + fzodi = sci.bg_zodi(zfact) + im_noise1 = det.pixel_noise(fsrc=im_roll1, fzodi=fzodi) + # Add random noise + im_roll1 += np.random.normal(scale=im_noise1) + + if exclude_disk: + im_roll1 -= im_disk_r1 + if exclude_planets: + im_roll1 -= im_pl_r1 + + # Subtract reference star from Roll 1 + #im_roll1_sub = pad_or_cut_to_size(im_roll1, sub_shape) + #scale1 = scale_ref_image(im_roll1_sub, im_ref_sub) + im_star_sub = pad_or_cut_to_size(im_star+im_pl_r1, sub_shape) + scale1 = scale_ref_image(im_star_sub, im_ref_sub) + _log.debug('scale1: {0:.3f}'.format(scale1)) + #scale1 = im_roll1.max() / im_ref.max() + if oversample != 1: + im_ref_rebin = frebin(im_ref, scale=oversample) + im_roll1 = frebin(im_roll1, scale=oversample) + else: + im_ref_rebin = im_ref + + # Telescope Roll 2 + if abs(roll_angle) > eps: + # Subtraction with and without scaling + im_diff1_r1 = im_roll1 - im_ref_rebin + im_diff2_r1 = im_roll1 - im_ref_rebin * scale1 + #im_diff_r1 = optimal_difference(im_roll1, im_ref_rebin, scale1) + + im_disk_r2 = sci.gen_disk_image(PA_offset=PA2) + im_pl_r2 = sci.gen_planets_image(PA_offset=PA2) + im_roll2 = im_star + im_disk_r2 + im_pl_r2 + # Noise per pixel + if not exclude_noise: + det = sci.Detectors[0] + fzodi = sci.bg_zodi(zfact) + im_noise2 = det.pixel_noise(fsrc=im_roll2, fzodi=fzodi) + # Add random noise + im_roll2 += np.random.normal(scale=im_noise2) + + if exclude_disk: + im_roll2 -= im_disk_r2 + if exclude_planets: + im_roll2 -= im_pl_r2 + + # Subtract reference star from Roll 2 + #im_roll2_sub = pad_or_cut_to_size(im_roll2, sub_shape) + #scale2 = scale_ref_image(im_roll2_sub, im_ref_sub) + im_star_sub = pad_or_cut_to_size(im_star+im_pl_r2, sub_shape) + scale2 = scale_ref_image(im_star_sub, im_ref_sub) + _log.debug('scale2: {0:.3f}'.format(scale2)) + #scale2 = im_roll2.max() / im_ref.max() + if oversample != 1: + im_roll2 = frebin(im_roll2, scale=oversample) + # Subtraction with and without scaling + im_diff1_r2 = im_roll2 - im_ref_rebin + im_diff2_r2 = im_roll2 - im_ref_rebin * scale2 + #im_diff_r2 = optimal_difference(im_roll2, im_ref_rebin, scale2) + + # De-rotate Roll 2 onto Roll 1 + # Convention for rotate() is opposite PA_offset + im_diff1_r2_rot = rotate(im_diff1_r2, roll_angle, reshape=False, cval=np.nan) + im_diff2_r2_rot = rotate(im_diff2_r2, roll_angle, reshape=False, cval=np.nan) + final1 = (im_diff1_r1 + im_diff1_r2_rot) // 2 + final2 = (im_diff2_r1 + im_diff2_r2_rot) // 2 + + # Replace NaNs with values from im_diff_r1 + nan_mask1 = np.isnan(final1) + nan_mask2 = np.isnan(final2) + final1[nan_mask1] = im_diff1_r1[nan_mask1] + final2[nan_mask2] = im_diff2_r1[nan_mask2] + + # final1 has better noise in outer regions (background) + # final2 has better noise in inner regions (PSF removal) + if opt_diff: + rho = dist_image(final1) + binsize = 1 + bins = np.arange(rho.min(), rho.max() + binsize, binsize) + igroups = hist_indices(rho, bins) + + std1 = binned_statistic(igroups, final1, func=np.std) + std2 = binned_statistic(igroups, final2, func=np.std) + + ibin_better = np.where(std1 < std2)[0] + for ibin in ibin_better: + final2.ravel()[igroups[ibin]] = final1.ravel()[igroups[ibin]] + + final = final2 + + else: + # Optimal differencing (with scaling only on the inner regions) + if opt_diff: + final = optimal_difference(im_roll1, im_ref_rebin, scale1) + else: + final = im_roll1 - im_ref_rebin * scale1 + + # De-rotate PA1 to North + if abs(PA1) > eps: + final = rotate(final, PA1, reshape=False) + + hdu = fits.PrimaryHDU(final) + hdu.header['EXTNAME'] = ('ROLL_SUB') + hdu.header['OVERSAMP'] = oversample + hdu.header['PIXELSCL'] = sci.pix_scale / hdu.header['OVERSAMP'] + hdulist = fits.HDUList([hdu]) + + return hdulist + + def saturation_levels(self, full_size=True, ngroup=0, **kwargs): + """ + Create image showing level of saturation for each pixel. + Can either show the saturation after one frame (default) + or after the ramp has finished integrating (ramp_sat=True). + + Parameters + ========== + full_size : Expand (or contract) to size of detector array? + If False, use fov_pix size. + ngroup : How many group times to determine saturation level? + The default is ngroup=0, which corresponds to the + so-called "zero-frame." This is the very first frame + that is read-out and saved separately. If this number + is higher than the total groups in ramp, then a + warning is produced. + + """ + + assert ngroup >= 0 + + t_frame = self.multiaccum_times['t_frame'] + t_int = self.multiaccum_times['t_int'] + if ngroup==0: + t_sat = t_frame + else: + ma = self.multiaccum + nf = ma.nf; nd1 = ma.nd1; nd2 = ma.nd2 + t_sat = (nd1 + ngroup*nf + (ngroup-1)*nd2) * t_frame + + if t_sat>t_int: + _log.warning('ngroup*t_group is greater than t_int.') + + # Slope image of input source + im_star = self.gen_psf(self.sp_sci) + im_disk = self.gen_disk_image() + im_pl = self.gen_planets_image() + image = im_star + im_disk + im_pl + if full_size: + shape = (self.det_info['ypix'], self.det_info['xpix']) + image = pad_or_cut_to_size(image, shape) + + # Well levels after "saturation time" + sat_level = image * t_sat / self.well_level + + return sat_level + + + +def model_to_hdulist(args_model, sp_star, filter, pupil=None, mask=None): + + """ + Convert disk model to an HDUList with units of photons/sec/pixel. + If observed filter is different than input filter, we assume that + the disk has a flat scattering, meaning it scales with stellar + continuum. Pixel sizes and distances are left unchanged, and + stored in header. + + args_model - Arguments describing the necessary model information + fname : Name of model file + scale0 : Pixel scale (in arcsec/pixel) + dist0 : Assumed model distance + wave_um : Wavelength of observation + units0 : Assumed flux units (ie., Jy/arcsec^2, + """ + + #filt, mask, pupil = args_inst + fname, scale0, dist0, wave_um, units0 = args_model + wave0 = wave_um * 1e4 + + bp = read_filter(filter, pupil=pupil, mask=mask) + + # Detector pixel scale and PSF oversample + #detscale = channel_select(bp)[0] + #oversample = 4 + #pixscale_over = detscale / oversample + + #### Read in the image, then convert from mJy/arcsec^2 to photons/sec/pixel + + # Open file + hdulist = fits.open(fname) + #data = hdulist[0].data#.copy() + #header = hdulist[0].header + #hdutemp.close() + + # Break apart units0 + units_list = units0.split('/') + if 'Jy' in units_list[0]: + units_pysyn = S.units.Jy() + if 'mJy' in units_list[0]: + units_pysyn = S.units.mJy() + if 'muJy' in units_list[0]: + units_pysyn = S.units.muJy() + if 'nJy' in units_list[0]: + units_pysyn = S.units.nJy() + if 'MJy' in units_list[0]: + hdulist[0].data *= 1000 # Convert to Jy + units_pysyn = S.units.Jy() + + # Convert from input units to photlam (photons/sec/cm^2/A/angular size) + # Compare observed wavelength to image wavelength + wave_obs = bp.avgwave() # Current bandpass wavelength + im = units_pysyn.ToPhotlam(wave0, hdulist[0].data) + + # We want to assume scattering is flat in photons/sec/A + # This means everything scales with stellar continuum + sp_star.convert('photlam') + im *= sp_star.sample(wave_obs) / sp_star.sample(wave0) + + # Convert to photons/sec/pixel + im *= bp.equivwidth() * S.refs.PRIMARY_AREA + # If input units are per arcsec^2 then scale by pixel scale + # This will be ph/sec for each oversampled pixel + if ('arcsec' in units_list[1]) or ('asec' in units_list[1]): + im *= scale0**2 + elif 'mas' in units_list[1]: + im *= (scale0*1000)**2 + + # Save into HDUList + hdulist[0].data = im + + hdulist[0].header['UNITS'] = 'photons/sec' + hdulist[0].header['PIXELSCL'] = (scale0, 'arcsec/pixel') + hdulist[0].header['DISTANCE'] = (dist0, 'parsecs') + + return hdulist + + + + +### +### class nrc_diskobs(NIRCam): +### """ +### Subclass of the NIRCam instrument class. This subclass is specifically used to +### create observations of disks using either the coronagraph or direct imaging. +### +### Pass an HDUlist that contains the model image, which contains header information +### on the model's PIXSCALE (arcsec/pixel) and DISTANCE (parsecs). +### +### Parameters +### ========== +### offset_list : For coronagraph, incremental offset positions to build PSFs +### for convolving disk images. +### xpix, ypix : Size of detector readout (assumes subarray). +### """ +### +### def __init__(self, hdulist, offset_list=None, xpix=320, ypix=320, save_psf=True, **kwargs): +### +### # If __init__ is called manually and self.hdulist already exists from +### # a previous initialization, then do not bother rerunning the parent +### # class __init__. +### try: +### self.hdulist +### except AttributeError: +### #super(NIRCam,self).__init__(**kwargs) +### # Not sure if this works for both Python 2 and 3 +### NIRCam.__init__(self, wind_mode='WINDOW', xpix=xpix, ypix=ypix, save_psf=save_psf, **kwargs) +### +### # Model image and header information +### self.hdulist = hdulist +### +### # Offsets positions to build PSFs +### if self.mask is None: +### # if no coronagraphic mask, then only 1 PSF +### self.offset_list = [0.0] +### if offset_list is not None: +### print('No coronagraph, so offset_list automatically set to [0.0].') +### elif offset_list is None: +### self.offset_list = [0.0, 0.1, 0.2, 0.5, 1.0, 2.0, 4.0] +### else: +### self.offset_list = offset_list +### +### self.psf_pix_det = int(np.ceil(self.hdu_image.shape[0] / self.image_oversample)) +### # Pixel distances of the oversampled images +### ycen, xcen = np.where(self.hdu_image == self.hdu_image.max()) +### cen = (ycen[0], xcen[0]) +### self.image_rho = dist_image(self.hdu_image, pixscale=self.image_scale, center=cen) +### +### print("Generating list of PSFs...") +### # This will get skipped if the PSFs have already been generated +### log_prev = conf.logging_level +### setup_logging('WARN', verbose=False) +### self._gen_psfs() +### setup_logging(log_prev, verbose=False) +### +### print("Convolving image slices...") +### self._convolve_image() +### +### print("Making reference PSF image...") +### self._make_ref_image() +### +### # Create the coronagraphic mask element image +### if self.mask is not None: +### fov = self.image_scale * self.hdu_image.shape[0] +### self.image_coron = coron_trans(self.mask, self.module, self.image_scale, fov=fov) +### #self.image_coron = pad_or_cut_to_size(image_coron, self.hdu_image.shape) +### +### print("Finished.") +### +### @property +### def image_scale(self): +### """Pixel scale of image (usually oversampled)""" +### return self.hdulist[0].header['PIXELSCL'] +### @property +### def image_oversample(self): +### """Image oversampling amount""" +### return np.int(np.round(self.pix_scale / self.image_scale)) +### @property +### def image_dist(self): +### """Object distance (pc)""" +### return self.hdulist[0].header['DISTANCE'] +### @property +### def hdu_image(self): +### """Model image data in hdulist""" +### return self.hdulist[0].data +### @property +### def hdu_header(self): +### """Header info in hdulist""" +### return self.hdulist[0].header +### +### @property +### def image_planet(self): +### """Planet image (if it exists)""" +### try: im = self._image_planet +### except: im = 0.0 +### return im +### +### def _gen_psfs(self): +### """ +### Create instances of NIRCam observations that are incrementally offset +### from coronagraph center. +### +### Generate a list of PSFs (oversampled) for each offset position. +### """ +### +### # Create NIRcam objects +### #self.psf_over_list = [] +### self.psf_over_list = [] +### +### # if no coronagraphic mask, then only 1 PSF +### #offset_list = [0.0] if self.mask is None else self.offset_list +### psf_dir = conf.PYNRC_PATH + 'disk_psfs/' +### +### # Generate PSFs from coefficients and shift to center +### for offset in self.offset_list: +### # Generate filename and check if it exists +### # Saving the padded PSFs is much faster than generating new ones each time +### f = self.filter +### m = 'none' if self.mask is None else self.mask +### p = 'none' if self.pupil is None else self.pupil +### fov_pix = 2*self.psf_pix_det +### oversample = self.image_oversample +### outfile = '{}_{}_{}_{:04.0f}_{:1.0f}_{:4.2f}.npy'.\ +### format(f,m,p,fov_pix,oversample,offset) +### +### psf_path = psf_dir+outfile +### if os.path.exists(psf_path): +### psf_over = np.load(psf_path) +### else: +### print(' Offset: {} asecs'.format(offset)) +### nrc_inst = NIRCam(self.filter, mask=self.mask, pupil=self.pupil, \ +### fov_pix=fov_pix, oversample=oversample, \ +### offset_r=offset) +### _, psf_over = nrc_inst.gen_psf(return_oversample=True) +### np.save(psf_path, psf_over) +### +### # Shift to center +### offset_pix = -offset / self.image_scale +### #psf_over = fshift(psf_over, dely=offset_pix, pad=True) +### self.psf_over_list.append(fshift(psf_over, dely=offset_pix, pad=True)) +### +### def _convolve_image(self): +### +### noff = len(self.offset_list) +### if self.mask is None: # Direct imaging +### worker_arguments = [(self.psf_over_list[0], self.hdu_image, self.image_rho, +### self.offset_list, i) for i in np.arange(noff)] +### else: # Coronagraphic imaging +### worker_arguments = [(psf, self.hdu_image, self.image_rho, self.offset_list, i) +### for i,psf in enumerate(self.psf_over_list)] +### +### nproc = nproc_use_convolve(self.psf_pix_det, self.image_oversample, noff) +### if nproc<=1: +### imconv_slices = map(_wrap_convolve_for_mp, worker_arguments) +### else: +### pool = mp.Pool(nproc) +### imconv_slices = pool.map(_wrap_convolve_for_mp, worker_arguments) +### pool.close() +### +### # Turn into a numpy array of shape (noff,nx,ny) +### imconv_slices = np.array(imconv_slices) +### +### # Sum all images together +### self.image_conv = imconv_slices.sum(axis=0) +### +### # Sum images that exclude flux from the inner 5 AU +### darr = np.array(self.offset_list) * self.image_dist +### ind = np.where(darr>5) +### self.image_conv2 = imconv_slices[ind[0],:,:].sum(axis=0) +### +### +### def _make_ref_image(self): +### +### psf_ref = self.psf_over_list[0] +### +### image = self.hdu_image +### ycen, xcen = np.where(image == image.max()) +### cen = (ycen[0], xcen[0]) +### +### mask = (image==image.max()) +### indx,indy = np.where(mask == True) +### arr = np.arange(-3,3,1) +### for ix in arr: +### for iy in arr: +### mask[indx[0]+ix,indy[0]+iy] = True +### +### im_temp = np.zeros(image.shape) +### im_temp[mask] = image[mask] +### self.im_ref = convolve_fft(im_temp, psf_ref, fftn=fftpack.fftn, ifftn=fftpack.ifftn, allow_huge=True) +### +### resid = self.image_conv - self.image_conv2 +### scale = np.mean(resid / self.im_ref) +### +### self.im_ref *= scale +### +### def star_flux(self, fluxunit): +### """ +### Return the stellar flux in whatever units, such as +### vegamag, counts, or Jy. +### """ +### +### star_count = self.hdu_image.max() +### if 'counts' in fluxunit: +### return star_count +### +### # Create pysynphot observation +### bp = self.bandpass +### waveset = bp.wave +### +### #sp_flat = S.ArraySpectrum(waveset, 0*waveset + 10.) +### # Normalize to spectrum to return stellar count rate +### #sp_norm = sp_flat.renorm(bp.unit_response()*star_count, 'flam', bp) +### # Bandpass unit response is the flux (in flam) of a star that +### # produces a response of one count per second in that bandpass +### norm = bp.unit_response()*star_count +### sp_norm = stellar_spectrum('flat', norm, 'flam', bp) +### # Convert to an observation +### obs = S.Observation(sp_norm, bp, binset=waveset) +### +### return obs.effstim(fluxunit) +### +### def planet_flux(self, fluxunit='counts', Av=0, **kwargs): +### """ +### Return the planet flux rate for spectrum from Spiegel & Burrows (2011). +### Parameters: +### Av : Extinction magnitude (assumes Rv=4.0) +### atmo: A string consisting of one of four atmosphere types: +### hy1s = hybrid clouds, solar abundances +### hy3s = hybrid clouds, 3x solar abundances +### cf1s = cloud-free, solar abundances +### cf3s = cloud-free, 3x solar abundances +### mass: Integer number 1 to 15 Jupiter masses. +### age: Age in millions of years (1-1000) +### entropy: Initial entropy (8.0-13.0) in increments of 0.25 +### base_dir: Location of atmospheric model sub-directories. +### """ +### # Create planet class and convert to Pysynphot spectrum +### planet = planets_sb11(distance=self.image_dist, **kwargs) +### sp = planet.export_pysynphot() +### +### # Add extinction from the disk +### Rv = 4.0 +### sp *= S.Extinction(Av/Rv,name='mwrv4') +### obs = S.Observation(sp, self.bandpass, binset=self.bandpass.wave) +### +### return obs.effstim(fluxunit) +### +### +### def add_planet(self, loc=(100,100), loc_units='AU', Av=0, **kwargs): +### """ +### Add an exoplanet point source using spectrum from Spiegel & Burrows (2011). +### Doing this multiple times will and multiple planets. +### Used self.kill_planets() to delete them. +### +### Parameters: +### loc = (x,y) : Position to place point source relative to center +### loc_units : What units are loc? Valid are values are 'AU' or 'asec' +### Av : Extinction magnitude (assumes Rv=4.0) +### +### **kwargs: +### atmo: A string consisting of one of four atmosphere types: +### hy1s = hybrid clouds, solar abundances +### hy3s = hybrid clouds, 3x solar abundances +### cf1s = cloud-free, solar abundances +### cf3s = cloud-free, 3x solar abundances +### mass: Integer number 1 to 15 Jupiter masses. +### age: Age in millions of years (1-1000) +### entropy: Initial entropy (8.0-13.0) in increments of 0.25 +### base_dir: Location of atmospheric model sub-directories. +### """ +### +### image = self.hdu_image +### +### # Create point image at loc position to convolve with PSF +### au_per_pixel = self.image_dist*self.image_scale +### if 'AU' in loc_units: +### xoff, yoff = np.array(loc) / au_per_pixel +### xoff_asec, yoff_asec = np.array(loc) / self.image_dist +### elif ('asec' in loc_units) or ('arcsec' in loc_units): +### xoff, yoff = np.array(loc) / self.image_scale +### xoff_asec, yoff_asec = np.array(loc) +### else: +### _log.warning("Do not recognize loc_units = '{}'. Assuming 'AU'".format(loc_units)) +### xoff, yoff = np.array(loc) / au_per_pixel +### xoff_asec, yoff_asec = np.array(loc) / self.image_dist +### +### ycen, xcen = np.where(self.hdu_image == self.hdu_image.max()) +### xpix, ypix = int(round(xoff+xcen[0])), int(round(yoff+ycen[0])) +### +### #x_det, y_det = (self.kwargs['xpix'], self.kwargs['ypix']) +### # Make sure planet is within image bounds +### sh_diff = np.abs(np.array([ypix,xpix]))-np.array(image.shape) +### if np.any(sh_diff>=0): +### _log.warning('ypix,xpix = {} is beyond image boundaries. Planet not placed.'\ +### .format((ypix,xpix))) +### return +### +### im_temp = np.zeros(image.shape) +### # Counts/second to convolve with planet PSF +### #print(ypix,xpix,obs.countrate()) +### im_temp[ypix,xpix] = self.planet_flux(Av, **kwargs) #obs.countrate() +### +### # Planet PSF and convolution (oversampled) +### # Choose the PSF closest to the planet position +### if len(self.offset_list) > 1: +### roff_asec = np.sqrt(xoff_asec**2 + yoff_asec**2) +### abs_diff = np.abs(np.array(self.offset_list)-roff_asec) +### ind = np.where(abs_diff == abs_diff.min())[0][0] +### else: +### ind = 0 +### psf_planet = self.psf_over_list[ind] +### self._image_planet = self.image_planet + \ +### convolve_fft(im_temp, psf_planet, fftn=fftpack.fftn, ifftn=fftpack.ifftn, allow_huge=True) +### +### def kill_planets(self): +### """Delete any planet data""" +### try: del self._image_planet +### except: print('No planets to delete!') +### +### def get_contrast(self, wfe_drift=5, zfact=2.5, cen=None, nsig=1, maglim=False): +### """ +### Return radially averaged contrast curve of the current observation. +### +### Parameters +### ============ +### wfe_drift : WFE drift (nm) to determine speckle noise contributions (default 5nm) +### zfact : Zodiacal flux multiplication factor (default 2.5) +### cen : Location of star relative to center position (for BAR MASKs) +### maglim : Output the magnitude limits at each radial position if True +### rather than the relative contrast limits +### +### """ +### +### # Location and flux of star +### image = self.hdu_image +### star_flux = image.max() +### +### oversample = self.psf_info['oversample'] +### +### if cen is None: +### ycen, xcen = np.where(image == image.max()) +### ycen = int(round(ycen[0]/oversample)) +### xcen = int(round(xcen[0]/oversample)) +### cen = (ycen, xcen) +### +### # Create HDUList of observations and grab radial stdev +### hdulist = self.obs_images(wfe_drift=wfe_drift, zfact=zfact) +### rr, stds = radial_profile(hdulist, ext='NOISE', center=cen) +### xsize = hdulist['NOISE'].header['PIXELSCL'] * hdulist['NOISE'].data.shape[0] // 2 +### mask = rr 1: +### # Array of PSF maxes for each offset position +### psf_max = [] +### for i in range(noff): +### psf_ref = self.psf_over_list[i] +### psf_ref = pad_or_cut_to_size(psf_ref, (20,20)) +### psf_ref = frebin(psf_ref, scale=1/oversample) +### psf_max.append(psf_ref.max()) +### # Interpolate PSF max at each pixel radius offset +### psf_max = np.interp(rr, offset_list, psf_max) +### contrast = stds / psf_max +### +### else: +### psf_ref = self.psf_over_list[-1] +### psf_ref = frebin(psf_ref, scale=1/oversample) +### +### # 1-sigma contrast +### contrast = stds / psf_ref.max() +### +### # Sigma limit +### star_mag = self.star_flux('vegamag') +### sig_lim = star_mag - 2.5*np.log10(contrast) +### +### # Make sure n-sigma limit at furthest radius matches bg_sensitivity +### # This is really only valid when we've hit the bg limit +### # Test bg limit by checking if last two elements are equal +### # Only currently only valid for direct imaging +### #if self.mask is None: +### sens_mag, _ = self.sensitivity(units='vegamag', nsig=nsig, ideal_Poisson=True) +### sig_lim_true = sens_mag['sensitivity'] +### #diff = sig_lim_true - sig_lim.max() +### #print(diff.min(), sig_lim_true, sig_lim.max()) +### +### #if diff < 0: +### #sig_lim += diff +### #contrast = 10**((star_mag-sig_lim)/2.5) +### +### if maglim: +### return rr, sig_lim +### else: +### return rr, contrast +### +### +### def obs_noise(self, zfact=2.5, wfe_drift=5, return_oversample=False): +### """ +### Calculate the noise per pixel (detector sampled) for the current +### observational parameters given some zodi level (default=2.5). +### +### The noise takes into account subtraction of a reference PSF. +### Speckle noise is also returned (TBD) +### +### Parameters +### ============ +### zfact : Zodiacal flux multiplication factor (default 2.5) +### wfe_drift : WFE drift (nm) to determine speckle noise contributions (default 5nm) +### """ +### +### oversample = self.image_oversample +### image_total = self.image_conv + self.image_planet +### im_rebin = frebin(image_total, scale=1/oversample) +### imref_rebin = frebin(self.im_ref, scale=1/oversample) +### +### fzodi = self.bg_zodi(zfact) +### +### det = self.Detectors[0] +### im_noise1 = det.pixel_noise(fsrc=im_rebin, fzodi=fzodi) +### #im_noise2 = det.pixel_noise(fsrc=imref_rebin, fzodi=fzodi) +### +### # Traditional readout, dark current, and photon noise values +### im_noise = im_noise1 +### #im_noise = np.sqrt(im_noise1**2 + im_noise2**2) +### +### # Speckle noise values +### speckle_dir = conf.PYNRC_PATH + 'speckle_maps/' +### if self.mask is None: speckle_dir += 'direct/' +### else: speckle_dir += self.mask + '/' +### +### # Grab the speckle noise map +### speckle_file = self.filter+'_speckle_noise_1nm.fits' +### speckle_path =speckle_dir + speckle_file +### if os.path.exists(speckle_path): +### speckle_noise = fits.getdata(speckle_path) * self.hdu_image.max() * wfe_drift +### speckle_noise = pad_or_cut_to_size(speckle_noise, im_noise.shape) +### else: +### _log.warning('Speckle noise map not found at {}'.format(speckle_path)) +### speckle_noise = 0.0 #np.zeros_like(im_noise) +### +### # Grab the residual speckle map +### resid_file = self.filter+'_residual_speckles_1nm.fits' +### resid_path = speckle_dir + resid_file +### if os.path.exists(resid_path): +### speckle_resid = fits.getdata(resid_path)[np.random.randint(0,9),:,:] +### speckle_resid *= self.hdu_image.max() * wfe_drift +### speckle_resid = pad_or_cut_to_size(speckle_resid, im_noise.shape) +### else: +### _log.warning('Speckle noise map not found at {}'.format(resid_path)) +### speckle_resid = 0.0 #np.zeros_like(im_noise) +### +### if return_oversample: +### im_noise = np.sqrt(frebin(im_noise**2, scale=oversample)) +### speckle_noise = np.sqrt(frebin(speckle_noise**2, scale=oversample)) +### speckle_resid = frebin(speckle_resid, scale=oversample) +### +### +### return im_noise, speckle_noise, speckle_resid +### +### def obs_images(self, scaled=False, return_oversample=False, verbose=False, **kwargs): +### """ +### Output HDUlists of the model, convolved images, noise images, etc. +### +### kwargs: +### zfact +### wfe_drift +### """ +### oversample = self.image_oversample +### pix_scale = self.pix_scale +### image_scale = self.image_scale +### dist_out = self.image_dist +### +### +### # These images are oversampled +### immodel = self.hdu_image.copy() +### # Mask out the model's central stellar pixel +### immodel[immodel==immodel.max()] = 0 +### +### im_planet = self.image_planet +### image = self.image_conv + im_planet # Image of star+disk+planet +### imdisk = self.image_conv2 # Image of only outer disk +### imref = self.im_ref # Reference star +### imsub = image - imref +### +### # Some other random stuff +### imcoron = np.zeros_like(image) if self.mask is None else self.image_coron +### rho = self.image_rho +### +### ramp_time = self.multiaccum_times['t_int'] +### pscale = image_scale +### +### imtot_rebin = frebin(image, scale=1/oversample) +### rho_rebin = frebin(rho, scale=1/oversample, total=False) +### imcor_rebin = frebin(imcoron, scale=1/oversample, total=False) +### +### if return_oversample: +### # Noise values for oversampled images +### im_noise, speckle_noise, speckle_resid = self.obs_noise(return_oversample=True, **kwargs) +### imvar = im_noise**2 + speckle_noise**2 +### tot_noise = np.sqrt(imvar) +### +### # Final simulated image with added noise +### tot_noise_rebin = np.sqrt(frebin(im_noise**2, scale=1/oversample)) +### noise_random_rebin = np.random.normal(scale=tot_noise_rebin) +### noise_random = frebin(noise_random_rebin, scale=oversample) +### im_final = imsub + noise_random + speckle_resid +### +### sat_level = imtot_rebin * ramp_time / self.well_level +### sat_level = frebin(sat_level, scale=oversample, total=False) +### else: +### scale = 1 / oversample +### immodel = frebin(immodel, scale=scale) +### image = imtot_rebin +### imdisk = frebin(imdisk, scale=scale) +### imref = frebin(imref, scale=scale) +### imsub = frebin(imsub, scale=scale) +### rho = rho_rebin +### imcoron = imcor_rebin +### +### im_noise, speckle_noise, speckle_resid = self.obs_noise(return_oversample=False, **kwargs) +### imvar = im_noise**2 + speckle_noise**2 +### tot_noise = np.sqrt(imvar) +### +### # Final simulated image with added noise +### im_final = imsub + np.random.normal(scale=im_noise) + speckle_resid +### +### # Add a saturation level +### sat_level = image * ramp_time / self.well_level +### pscale = pix_scale +### +### # Mask some things internal to 6lambda/D for occulter or 2lambda/D for others +### res_el = self.bandpass.avgwave()*2.06265e-05/6.5 +### cen_mask = (rho<2*res_el) if self.mask is None else (imcoron<0.75) +### +### rho_sqr = rho**2 if scaled else np.ones(immodel.shape) +### +### # SNR Image +### #tot_noise = convolve_fft(tot_noise, Gaussian2DKernel(3), +### # fftn=fftpack.fftn, ifftn=fftpack.ifftn, allow_huge=True) +### snr = imsub / tot_noise +### +### # If saturated, then set SNR=0, im_final=0 +### sat_mask = sat_level > 0.8 +### # Mask everything internal to the largest saturated radius +### if sat_mask.any(): +### sat_mask = (rho <= rho[sat_mask].max()) +### snr[sat_mask] = 0 +### im_final[sat_mask] = 0 +### +### if verbose: +### # Outside of occulting mask region +### cen_mask_rebin = (rho_rebin<2*res_el) if self.mask is None else (imcor_rebin<0.75) +### mask_good_rebin = ~cen_mask_rebin +### v1 = imtot_rebin.max(); v2 = imtot_rebin[mask_good_rebin].max() +### print('Max Flux: {:.1f} [{:.1f}] counts/sec'.format(v1,v2)) +### +### mask_good = ~cen_mask +### v1 = sat_level.max(); v2 = sat_level[mask_good].max() +### print('Well Fill: {:.1f} [{:.1f}] times full well'.format(v1,v2)) +### print('SNR Max: {:.1f}'.format(snr[mask_good].max())) +### +### # Add a list of images to an HDUList +### im_list1 = [immodel, image, imdisk, imsub, im_final] +### names1 = ['MODEL', 'CONV', 'DISK', 'REFSUB', 'FINAL'] +### for i,im in enumerate(im_list1): +### hdu = fits.PrimaryHDU(im * rho_sqr) +### hdu.header['PIXELSCL'] = pscale +### hdu.header['EXTNAME'] = (names1[i]) +### if i==0: hdulist = fits.HDUList([hdu]) +### else: hdulist.append(hdu) +### +### im_list2 = [snr, tot_noise, speckle_noise, speckle_resid, rho] +### names2 = ['SNR', 'NOISE', 'SPNOISE', 'SPRESID', 'RHO'] +### for i,im in enumerate(im_list2): +### hdu = fits.PrimaryHDU(im) +### hdu.header['PIXELSCL'] = pscale +### hdu.header['EXTNAME'] = (names2[i]) +### hdulist.append(hdu) +### +### sat_mask = np.uint8(sat_mask) +### cen_mask = np.uint8(cen_mask) +### im_list3 = [sat_level, sat_mask, cen_mask] +### names3 = ['SAT_LEVEL', 'SAT_MASK', 'CEN_MASK'] +### for i,im in enumerate(im_list3): +### hdu = fits.PrimaryHDU(im) +### hdu.header['PIXELSCL'] = pscale +### hdu.header['EXTNAME'] = (names3[i]) +### hdulist.append(hdu) +### +### if self.mask is not None: +### hdu = fits.PrimaryHDU(imcoron) +### hdu.header['PIXELSCL'] = pscale +### hdu.header['EXTNAME'] = ('CORON') +### hdulist.append(hdu) +### +### for hdu in hdulist: +### hdu.header['INSTRUME'] = 'NIRCam' +### hdu.header['FILTER'] = self.filter +### +### return hdulist + + + + + +### def observe_disk(args_inst, args_model, dist_out=140, subsize=None, +### sptype='G2V', star_kmag=None, **kwargs): +### +### """ +### Perform observation of a disk model. +### +### Parameters +### ============ +### args_inst : Argument tuple consisting of (filter, mask, pupil) +### args_model : Argument tuple defining the model parameters including +### (filename, pixel scale, distance, wavelength, units) +### pixel scale is assumed to be arcsec/pixel +### distance should be pc +### wavelength should be um +### units are the model surface brightness (ie., mJy/pixel, Jy/arcsec, etc.) +### dist_out : Desired distance to place the model object. +### sptype : Spectral type of central source, which is use to determine +### the scaling of the scattered light component in the observed band. +### The stellar flux is also scaled accordingly. +### star_kmag : K-Band magnitude of central source to scale photon flux in +### the observed filter bandwidth, otherwise just used the scaled flux. +### This can be useful if the star is extincted in some way. +### subsize : Pixel size of the subarray (typically, 160, 320, or 640) +### This is fixed for coronagraphic imaging +### """ +### filt, mask, pupil = args_inst +### fname, scale0, dist0, wave_um, units0 = args_model +### wave0 = wave_um * 1e4 +### +### # If coronagraphic imaging, then override window size and position +### # May want to put this check inside Class +### bp = read_filter(filt, pupil=pupil, mask=mask) +### if (mask is not None) and ('MASK' in mask): +### # If subarray size is specified +### if subsize is None: +### subsize = 640 if bp.avgwave()<2.4 else 320 +### if 'LWB' in mask: +### x0=275; y0=1508 +### elif 'SWB' in mask: +### x0=171; y0=236 +### elif '430R' in mask: +### x0=916; y0=1502 +### elif '335R' in mask: +### x0=1238; y0=1502 +### elif '210R' in mask: +### x0=392; y0=224 +### # Make sure subarray sizes don't push out of bounds +### if (y0 + subsize) > 2048: y0 = 2048 - subsize +### if (x0 + subsize) > 2048: x0 = 2048 - subsize +### else: +### x0 = 0; y0 = 0 +### +### if 'x0' not in kwargs: kwargs['x0']=x0 +### if 'y0' not in kwargs: kwargs['y0']=y0 +### +### # Default subarray size of 160 +### if subsize is None: subsize = 160 +### +### # Detector pixel scale and PSF oversample +### detscale = channel_select(bp)[0] +### oversample = 2 +### pixscale_over = detscale / oversample +### +### #### Read in the image, then convert from mJy/arcsec^2 to photons/sec/pixel +### +### # if no FITs file is specified, then we only want a star +### # with its flux placed in the central pixel +### if fname is None: +### im = np.zeros([3,3]) +### im[1,1] = 1.0 +### if star_kmag is None: +### print('If no file name, then a K-Band stellar magnitude is required.') +### return +### else :# Open file +### hdutemp = fits.open(fname) +### im = hdutemp[0].data.copy() +### hdutemp.close() +### +### # Break apart units0 +### units_list = units0.split('/') +### if 'Jy' in units_list[0]: +### units_pysyn = S.units.Jy() +### if 'mJy' in units_list[0]: +### units_pysyn = S.units.mJy() +### if 'umJy' in units_list[0]: +### units_pysyn = S.units.umJy() +### if 'nJy' in units_list[0]: +### units_pysyn = S.units.nJy() +### +### # Convert from mJy to photlam (photons/sec/cm^2/A/angular size) +### # Compare observed wavelength to image wavelength +### wave_obs = bp.avgwave() # Current bandpass wavelength +### im = units_pysyn.ToPhotlam(wave0, im) +### +### # We want to assume scattering is flat in photons/sec/A +### # This means everything scales with stellar continuum +### sp = stellar_spectrum(sptype) +### sp.convert('photlam') +### im *= sp.sample(wave_obs) / sp.sample(wave0) +### +### # Convert to photons/sec/pixel +### im *= bp.equivwidth() * S.refs.PRIMARY_AREA +### # If input units are per arcsec^2 then scale by pixel scale +### # This will be ph/sec for each oversampled pixel +### if ('arcsec' in units_list[1]) or ('asec' in units_list[1]): +### im *= scale0**2 +### elif 'mas' in units_list[1]: +### im *= (scale0*1000)**2 +### +### # Place image into an HDUlist +### hdu = fits.PrimaryHDU(im) +### hdutemp = fits.HDUList([hdu]) +### +### # Rescale +### args_in = (scale0, dist0) +### args_out = (pixscale_over, dist_out) +### hdulist = image_rescale(hdutemp, args_in, args_out) +### hdulist[0].header['UNITS'] = 'photons/sec' +### hdulist[0].header['DETSAMP'] = detscale +### hdulist[0].header['OVERSAMP'] = oversample +### hdulist[0].header['PIXELSCL'] = pixscale_over +### hdulist[0].header['DISTANCE'] = dist_out +### +### # If the stellar magnitude is specified then determine flux +### # and replace central pixel after scaling by distance +### if star_kmag is not None: +### im = hdulist[0].data +### sp_norm = sp.renorm(star_kmag, 'vegamag', S.ObsBandpass('k')) +### obs_temp = S.Observation(sp_norm, bp, binset=bp.wave) +### _log.info('Modifying stellar flux from {:.2e} to {:.2e}'.\ +### format(im[im==im.max()][0], obs_temp.countrate())) +### im[im==im.max()] = obs_temp.countrate() +### +### hdutemp.close() +### +### _log.info('Model Oversample Shape: {}'.format(hdulist[0].data.shape)) +### _log.info('Model Max Flux: {:.2e} {}'.format(hdulist[0].data.max(), hdulist[0].header['UNITS'])) +### +### # image needs to be expanded (or contracted) to subarray size +### ypix = xpix = subsize +### new_shape = (ypix*oversample, xpix*oversample) +### hdulist[0].data = pad_or_cut_to_size(hdulist[0].data, new_shape) +### _log.info('FoV Oversample Shape: {}'.format(hdulist[0].data.shape)) +### +### #im_shape = hdulist[0].data.shape +### ##det_shape = tuple(s//oversample for s in im_shape) +### #ypix2, xpix2 = (ypix*oversample, xpix*oversample) +### #if im_shape[0]ypix2: +### # y0, x0 = (np.array(im_shape) - np.array([ypix2,xpix2])) // 2 +### # im = hdulist[0].data +### # hdulist[0].data = im[y0:y0+ypix2, x0:x0+xpix2] +### #print('Oversample Shape: {}'.format(hdulist[0].data.shape)) +### +### # Generate the model disk observation +### return nrc_diskobs(hdulist, filter=filt, mask=mask, pupil=pupil, oversample=oversample, +### xpix=xpix, ypix=ypix, **kwargs) +### +### +### def observe_star(args_inst, dist_out=140, subsize=None, +### sptype='G2V', star_kmag=None, **kwargs): +### +### """ +### Perform observation of a single star (no disk). +### +### Parameters +### ============ +### args_inst : Argument tuple consisting of (filter, mask, pupil) +### dist_out : Desired distance to place the model object. +### sptype : Spectral type of central source, which is use to determine +### the scaling of the scattered light component in the observed band. +### The stellar flux is also scaled accordingly. +### star_kmag : K-Band magnitude of central source to scale photon flux in +### the observed filter bandwidth, otherwise just used the scaled flux. +### This can be useful if the star is extincted in some way. +### subsize : Pixel size of the subarray (typically, 160, 320, or 640) +### This is fixed for coronagraphic imaging +### +### """ +### filt, mask, pupil = args_inst +### #fname, scale0, dist0, wave_um, units0 = args_model +### #wave0 = wave_um * 1e4 +### +### # If coronagraphic imaging, then override window size and position +### # May want to put this check inside Class +### bp = read_filter(filt, pupil=pupil, mask=mask) +### if (mask is not None) and ('MASK' in mask): +### # If subarray size is specified +### if subsize is None: +### subsize = 640 if bp.avgwave()<2.4 else 320 +### if 'LWB' in mask: +### x0=275; y0=1508 +### elif 'SWB' in mask: +### x0=171; y0=236 +### elif '430R' in mask: +### x0=916; y0=1502 +### elif '335R' in mask: +### x0=1238; y0=1502 +### elif '210R' in mask: +### x0=392; y0=224 +### # Make sure subarray sizes don't push out of bounds +### if (y0 + subsize) > 2048: y0 = 2048 - subsize +### if (x0 + subsize) > 2048: x0 = 2048 - subsize +### else: +### x0 = 0; y0 = 0 +### +### if 'x0' not in kwargs: kwargs['x0']=x0 +### if 'y0' not in kwargs: kwargs['y0']=y0 +### +### # Default subarray size of 160 +### if subsize is None: subsize = 160 +### +### # Detector pixel scale and PSF oversample +### detscale = channel_select(bp)[0] +### oversample = 2 +### pixscale_over = detscale / oversample +### +### #### Read in the image, then convert from mJy/arcsec^2 to photons/sec/pixel +### +### # if no FITs file is specified, then we only want a star +### # with its flux placed in the central pixel +### im = np.zeros([3,3]) +### im[1,1] = 1.0 +### +### # Place image into an HDUlist +### hdu = fits.PrimaryHDU(im) +### hdulist = fits.HDUList([hdu]) +### +### # Rescale +### hdulist[0].header['UNITS'] = 'photons/sec' +### hdulist[0].header['DETSAMP'] = detscale +### hdulist[0].header['OVERSAMP'] = oversample +### hdulist[0].header['PIXELSCL'] = pixscale_over +### hdulist[0].header['DISTANCE'] = dist_out +### +### im = hdulist[0].data +### +### sp = stellar_spectrum(sptype) +### sp_norm = sp.renorm(star_kmag, 'vegamag', S.ObsBandpass('k')) +### obs_temp = S.Observation(sp_norm, bp, binset=bp.wave) +### _log.info('Modifying stellar flux from {:.2e} to {:.2e}'.\ +### format(im[im==im.max()][0], obs_temp.countrate())) +### im[im==im.max()] = obs_temp.countrate() +### +### _log.info('Model Oversample Shape: {}'.format(hdulist[0].data.shape)) +### _log.info('Model Max Flux: {:.2e} {}'.format(hdulist[0].data.max(), hdulist[0].header['UNITS'])) +### +### # image needs to be expanded (or contracted) to subarray size +### ypix = xpix = subsize +### new_shape = (ypix*oversample, xpix*oversample) +### hdulist[0].data = pad_or_cut_to_size(hdulist[0].data, new_shape) +### _log.info('FoV Oversample Shape: {}'.format(hdulist[0].data.shape)) +### +### # Generate the model disk observation +### return nrc_diskobs(hdulist, filter=filt, mask=mask, pupil=pupil, oversample=oversample, +### xpix=xpix, ypix=ypix, **kwargs) + + +def _wrap_convolve_for_mp(args): + """ + Internal helper routine for parallelizing computations across multiple processors. + + Create a list of arguments to pass to this function: + worker_arguments = [(inst, image, rho, offset_list, i) for i,inst in enumerate(nrc_star_list)] + + Then create a theadpool: + pool = mp.Pool(nproc) + images = pool.map(_wrap_coeff_for_mp, worker_arguments) + pool.close() + images = np.array(images) + + For single processing, just use: + images = map(_wrap_convolve_for_mp, worker_arguments) + images = np.array(images) + + For multiprocessing: + """ + + psf, model, rho, offset_list, i = args + + noff = len(offset_list) + if noff==1: + r1 = 0; r2 = rho.max()+1 + elif i==0: + r1 = offset_list[i] + r2 = (offset_list[i] + offset_list[i+1])/2 + elif i==noff-1: + r1 = (offset_list[i] + offset_list[i-1])/2 + r2 = rho.max()+1. + else: + r1 = (offset_list[i] + offset_list[i-1])/2 + r2 = (offset_list[i] + offset_list[i+1])/2 + + #r1 = offset_list[i] + #r2 = offset_list[i+1] if i<(noff-1) else rho.max() + + + ind = (rho>=r1) & (rho self._ngroup_max: _log.warning('Specified ngroup (%s) greater than allowed value (%s)' \ % (value, self._ngroup_max)) @@ -116,7 +123,7 @@ def nf(self): return self._nf @nf.setter def nf(self, value): - value = self._check_int(value) + value = self._check_int(value,1) self._nf = self._check_custom(value, self._nf) @property @@ -261,7 +268,7 @@ def __init__(self, detector=481, wind_mode='FULL', xpix=2048, ypix=2048, x0=0, y 'IPC':0.60, 'PPC':0.19, 'p_excess':(1.5,10.0), 'ktc':36.8, 'well_level':80e3, 'well_level_old':75e3} # Automatically set the pixel scale based on detector selection - self.auto_pixel = True + self.auto_pixscale = True self._gain_list = {481:2.07, 482:2.01, 483:2.16, 484:2.01, 485:1.83, 486:2.00, 487:2.42, 488:1.93, 489:2.30, 490:1.85} @@ -324,7 +331,7 @@ def scaid(self, value): # Select various detector properties (pixel scale, dark current, read noise, etc) # depending on LW or SW detector dtemp = self._properties_LW if self.channel=='LW' else self._properties_SW - if self.auto_pixel: self.pixelscale = dtemp['pixel_scale'] + if self.auto_pixscale: self.pixelscale = dtemp['pixel_scale'] self.ktc = dtemp['ktc'] self.dark_current = dtemp['dark_current'] self.read_noise = dtemp['read_noise'] @@ -440,48 +447,80 @@ def _validate_pixel_settings(self): def _extra_lines(self): """Determine how many extra lines/rows are added to a to a given frame""" if self.nout == 1: - sub = 2**(np.arange(8)+4.) # Subarray size - l1 = np.array([3,2.5,2,2,2,2,2,2]) # Extra lines for early frames - l2 = np.array([6,5.0,4,3,2,2,2,2]) # Extra lines for last frame - ladd1 = (np.interp([self.xpix],sub,l1))[0] - ladd2 = (np.interp([self.xpix],sub,l1))[0] - else: - ladd1 = 1 - ladd2 = 2 - return (ladd1,ladd2) - + xtra_lines = 2 if self.xpix>10 else 3 + elif self.nout == 4: + xtra_lines = 1 + + return xtra_lines + @property def _exp_delay(self): """ Additional overhead time at the end of an exposure. - (Does this occur per integration or per exposure???) + This does not add any more photon flux to a pixel. + Due to transition to idle. """ - # Note: I don't think this adds any more photons to a pixel - # It simply slightly delays the subsequent reset frame AFTER the last pixel read + # Window Mode + if self.nout == 1: + if self.xpix>150: xtra_lines = 0 + elif self.xpix>64: xtra_lines = 1 + elif self.xpix>16: xtra_lines = 2 + elif self.xpix>8: xtra_lines = 4 + else: xtra_lines = 5 + # Full and Stripe + else: xtra_lines = 1 + # Clock ticks per line xticks = self.chsize + self._line_overhead - l1,l2 = self._extra_lines - return xticks * (l2 - l1) / self._pixel_rate + return xticks * xtra_lines / self._pixel_rate + @property def _frame_overhead_pix(self): + """ + Full and Stripe mode frames have an additional pixel at the end. + """ + pix_offset = 0 if self.nout==1 else 1 return pix_offset - + + @property + def time_row_reset(self): + """NFF Row Resets time""" + + # Window Mode + if self.nout == 1: + if self.ypix>256: nff = 2048 + elif self.ypix>64: nff = 512 + elif self.ypix>16: nff = 256 + elif self.ypix>8: nff = 64 + else: nff = 16 + # Full and Stripe + else: + if self.ypix==2048: nff = 0 + elif self.ypix>=256: nff = 2048 + else: nff = 512 + + xtra_lines = int(nff / (self.chsize)) + + # Clock ticks per line + xticks = self.chsize + self._line_overhead + return xticks * xtra_lines / self._pixel_rate + @property def time_frame(self): """Determine frame times based on xpix, ypix, and wind_mode.""" chsize = self.chsize # Number of x-pixels within a channel xticks = self.chsize + self._line_overhead # Clock ticks per line - flines = self.ypix + self._extra_lines[0] # Lines per frame (early frames) + flines = self.ypix + self._extra_lines # Lines per frame # Add a single pix offset for full frame and stripe. pix_offset = self._frame_overhead_pix end_delay = 0 # Used for syncing each frame w/ FPE bg activity. Not currently used. - # Total number of clock ticks per frame (reads and drops) + # Total number of clock ticks per frame (reset, read, and drops) fticks = xticks*flines + pix_offset + end_delay # Return frame time @@ -497,7 +536,7 @@ def time_ramp(self): """Photon collection time for a single ramp.""" # How many total frames (incl. dropped and all) per ramp? - # Exclude last set of nd2 as well as nd3 (drops that add nothing) + # Exclude nd3 (drops that add nothing) ma = self.multiaccum nf = ma.nf; nd1 = ma.nd1; nd2 = ma.nd2 ngroup = ma.ngroup @@ -515,12 +554,15 @@ def time_int(self): @property def time_exp(self): - """Total exposure time for all ramps.""" + """Total photon collection time for all ramps.""" return self.multiaccum.nint * self.time_ramp @property def time_total_int(self): - """Total time for all frames in a ramp (incl resets and excess drops)""" + """ + Total time for all frames in a ramp. + Includes resets and excess drops, as well as NFF Rows Reset. + """ ma = self.multiaccum nf = ma.nf; nd1 = ma.nd1; nd2 = ma.nd2; nd3 = ma.nd3 @@ -528,12 +570,12 @@ def time_total_int(self): nr = 1 nframes = nr + nd1 + ngroup*nf + (ngroup-1)*nd2 + nd3 - return nframes * self.time_frame + return nframes * self.time_frame + self.time_row_reset @property def time_total(self): """Total exposure acquisition time""" - return self.multiaccum.nint * self.time_total_int + return self.multiaccum.nint * self.time_total_int + self._exp_delay def to_dict(self, verbose=False): """Export detector settings to a dictionary.""" @@ -601,165 +643,7 @@ def make_header(self, filter=None, pupil=None, obs_time=None, **kwargs): This must be a datetime object: datetime.datetime(2016, 5, 9, 11, 57, 5, 796686) """ - return nrc_header(self, filter=None, pupil=None, obs_time=None, **kwargs) - - -# Class for reading in planet spectra -class planets_sb11(object): - """ - Exoplanet spectrum from Spiegel & Burrows (2011) - - This contains 1680 files, one for each of 4 atmosphere types, each of - 15 masses, and each of 28 ages. Wavelength range of 0.8 - 15.0 um at - moderate resolution (R ~ 204). - - The flux in the source files are at 10 pc. If the distance is specified, - then the flux will be scaled accordingly. This is also true if the distance - is changed by the user. - - Arguments: - atmo: A string consisting of one of four atmosphere types: - hy1s = hybrid clouds, solar abundances - hy3s = hybrid clouds, 3x solar abundances - cf1s = cloud-free, solar abundances - cf3s = cloud-free, 3x solar abundances - mass: Integer number 1 to 15 Jupiter masses. - age: Age in millions of years (1-1000) - entropy: Initial entropy (8.0-13.0) in increments of 0.25 - distance: Assumed distance in pc (default is 10pc) - base_dir: Location of atmospheric model sub-directories. - """ - - base_dir = conf.PYNRC_PATH + 'spiegel/' - - def __init__(self, atmo='hy1s', mass=1, age=100, entropy=10.0, - distance=10, base_dir=None, **kwargs): - - self._atmo = atmo - self._mass = mass - self._age = age - self._entropy = entropy - - if base_dir is not None: - self.base_dir = base_dir - self.sub_dir = self.base_dir + 'SB.' + self.atmo + '/' - - self.get_file() - self.read_file() - self.distance = distance - - def get_file(self): - files = []; masses = []; ages = [] - for file in os.listdir(self.sub_dir): - files.append(file) - fsplit = re.split('[_\.]',file) - ind_mass = fsplit.index('mass') + 1 - ind_age = fsplit.index('age') + 1 - masses.append(int(fsplit[ind_mass])) - ages.append(int(fsplit[ind_age])) - files = np.array(files) - ages = np.array(ages) - masses = np.array(masses) - - # Find those indices closest in mass - mdiff = np.abs(masses - self.mass) - ind_mass = mdiff == np.min(mdiff) - - # Of those masses, find the closest age - adiff = np.abs(ages - self.age) - ind_age = adiff[ind_mass] == np.min(adiff[ind_mass]) - - # Get the final file name - self.file = ((files[ind_mass])[ind_age])[0] - - def read_file(self): - # Read in the file's content row-by-row (saved as a string) - with open(self.sub_dir + self.file) as f: - content = f.readlines() - content = [x.strip('\n') for x in content] - - # Parse the strings into an array - # Row #, Value - # 1 col 1: age (Myr); - # cols 2-601: wavelength (in microns, in range 0.8-15.0) - # 2-end col 1: initial S; - # cols 2-601: F_nu (in mJy for a source at 10 pc) - - ncol = len(content[0].split()) - nrow = len(content) - arr = np.zeros([nrow,ncol]) - for i,row in enumerate(content): - arr[i,:] = np.array(content[i].split(), dtype='float64') - - # Find the closest entropy and save - entropy = arr[1:,0] - diff = np.abs(self.entropy - entropy) - ind = diff == np.min(diff) - self._flux = arr[1:,1:][ind,:].flatten() - self._fluxunits = 'mJy' - - # Save the wavelength information - self._wave = arr[0,1:] - self._waveunits = 'um' - - # Distance (10 pc) - self._distance = 10 - - @property - def wave(self): - return self._wave - @property - def waveunits(self): - return self._waveunits - - @property - def flux(self): - return self._flux - @property - def fluxunits(self): - return self._fluxunits - - @property - def distance(self): - """Assumed distance to source (pc)""" - return self._distance - @distance.setter - def distance(self, value): - self._flux *= (self._distance/value)**2 - self._distance = value - - @property - def atmo(self): - """ - A string consisting of one of four atmosphere types: - hy1s = hybrid clouds, solar abundances - hy3s = hybrid clouds, 3x solar abundances - cf1s = cloud-free, solar abundances - cf3s = cloud-free, 3x solar abundances - """ - return self._atmo - @property - def mass(self): - """Jupiter masses""" - return self._mass - @property - def age(self): - """Age in millions of years""" - return self._age - @property - def entropy(self): - """Initial entropy (8.0-13.0)""" - return self._entropy - - def export_pysynphot(self, waveout='angstrom', fluxout='flam'): - w = self.wave; f = self.flux - name = (re.split('[\.]', self.file))[5:] - sp = S.ArraySpectrum(w, f, name=name, waveunits=self.waveunits, fluxunits=self.fluxunits) - - sp.convert(waveout) - sp.convert(fluxout) - - return sp + return nrc_header(self, filter=filter, pupil=pupil, obs_time=obs_time, **kwargs) class NIRCam(object): @@ -801,16 +685,17 @@ class NIRCam(object): x0, y0 (int) : Lower-left window position in detector coords (0,0). read_mode (str) : NIRCam Ramp Readout mode such as 'RAPID', 'BRIGHT1', etc. nint, ngroup, nf, nd1, nd2, nd3 (int) : Ramp parameters, some of which may be - overwritten by read_mode. See JWST MULTIACCUM documentation for more details. + overwritten by read_mode. See JWST MULTIACCUM documentation. PSF Info -------- fov_pix (int) : Size of the FoV in pixels (real SW or LW pixels). - oversample (int) : Factor to oversample during WebbPSF calculations (default: 4). + oversample (int) : Factor to oversample during WebbPSF calculations. + Default 2 for coronagraphy and 4 otherwise. offset_r (flt) : Radial offset from the center in arcsec. offset_theta (flt) : Position angle for radial offset, in degrees CCW. opd (tup) : Tuple containing WebbPSF specific OPD file name and slice. - save (bool) : Whether or not to save the resulting PSF coefficients to file. + save (bool) : Save the resulting PSF coefficients to a file? force (bool) : Forces a recalcuation of PSF even if saved PSF exists. """ @@ -847,6 +732,9 @@ def __init__(self, filter='F210M', pupil=None, mask=None, module='A', ND_acq=Fal pupil = 'CLEAR' if pupil is None else pupil.upper() if mask is not None: mask = mask.upper() module = 'A' if module is None else module.upper() + + self._ice_scale = kwargs['ice_scale'] if 'ice_scale' in kwargs.keys() else None + self._nvr_scale = kwargs['nvr_scale'] if 'nvr_scale' in kwargs.keys() else None # Validate all values, set values, and update bandpass @@ -977,7 +865,8 @@ def _update_bp(self): Update bandpass based on filter, pupil, and module, etc. """ self._bandpass = read_filter(self.filter, self.pupil, self.mask, - self.module, self.ND_acq) + self.module, self.ND_acq, + ice_scale=self._ice_scale, nvr_scale=self._nvr_scale) def plot_bandpass(self, ax=None, color=None, title=None, **kwargs): """ @@ -1199,10 +1088,10 @@ def psf_info_bg(self): def update_psf_coeff(self, fov_pix=None, oversample=None, - offset_r=None, offset_theta=None, opd=None, save=None, force=False, - **kwargs): + offset_r=None, offset_theta=None, tel_pupil=None, opd=None, + save=None, force=False, **kwargs): """ - Generates a set of PSF coefficients from a sequence WebbPSF images. + Generates a set of PSF coefficients from a sequence of WebbPSF images. These coefficients can then be used to generate a sequence of monochromatic PSFs (useful if you need to make hundreds of PSFs for slitless grism or DHS observations) that are subsequenty @@ -1221,18 +1110,21 @@ def update_psf_coeff(self, fov_pix=None, oversample=None, ---------- fov_pix : Size of the FoV in pixels (real SW or LW pixels). The defaults depend on the type of observation. - oversample : Factor to oversample during WebbPSF calculations. Default of 4. + oversample : Factor to oversample during WebbPSF calculations. + Default 2 for coronagraphy and 4 otherwise. offset_r : Radial offset from the center in pixels offset_theta : Position angle for that offset, in degrees CCW. - opd : Tuple containing WebbPSF specific OPD file name and slice. + tel_pupil : File name or HDUList specifying telescope entrance pupil. + opd : Tuple or HDUList specifying OPD. save : Whether or not to save the resulting PSF coefficients to file. - force : Forces a recalcuation of PSF even if saved PSF exists. + force : Forces a recalcuation of PSFs even if saved coefficients exist. """ if oversample is None: # Check if oversample has already been saved try: oversample = self._psf_info['oversample'] - except: oversample = 4 + except: + oversample = 2 if 'LYOT' in self.pupil else 4 # Default size is 11 pixels fov_default = 11 @@ -1266,6 +1158,9 @@ def update_psf_coeff(self, fov_pix=None, oversample=None, if offset_theta is None: try: offset_theta = self._psf_info['offset_theta'] except (AttributeError, KeyError): offset_theta = 0 + if tel_pupil is None: + try: tel_pupil = self._psf_info['tel_pupil'] + except (AttributeError, KeyError): tel_pupil = None if opd is None: try: opd = self._psf_info['opd'] except (AttributeError, KeyError): opd = ('OPD_RevV_nircam_132.fits', 0) @@ -1273,10 +1168,10 @@ def update_psf_coeff(self, fov_pix=None, oversample=None, try: save = self._psf_info['save'] except (AttributeError, KeyError): save = True - + #print(opd) self._psf_info={'fov_pix':fov_pix, 'oversample':oversample, - 'offset_r':offset_r, 'offset_theta':offset_theta, 'opd':opd, - 'save':save, 'force':force} + 'offset_r':offset_r, 'offset_theta':offset_theta, + 'opd':opd, 'tel_pupil':tel_pupil, 'save':save, 'force':force} self._psf_coeff = psf_coeff(self.bandpass, self.pupil, self.mask, self.module, **self._psf_info) @@ -1286,7 +1181,7 @@ def update_psf_coeff(self, fov_pix=None, oversample=None, # coronagraphic mask and save the PSF coefficients. if self.mask is not None: self._psf_info_bg={'fov_pix':31, 'oversample':oversample, - 'offset_r':0, 'offset_theta':0, 'opd':opd, + 'offset_r':0, 'offset_theta':0, 'opd':opd, 'tel_pupil':tel_pupil, 'save':save, 'force':force} self._psf_coeff_bg = psf_coeff(self.bandpass, self.pupil, None, self.module, **self._psf_info_bg) @@ -1300,7 +1195,7 @@ def gen_psf(self, sp=None, return_oversample=False, use_bg_psf=False, **kwargs): Create a PSF image from instrument settings. The image is noiseless and doesn't take into account any non-linearity or saturation effects, but is convolved with the instrument throughput. Pixel values are in counts/sec. - The result is effectively an idealized slope image. + The result is effectively an idealized slope image (no background). If no spectral dispersers (grisms or DHS), then this returns a single image or list of images if sp is a list of spectra. By default, it returns @@ -1310,12 +1205,12 @@ def gen_psf(self, sp=None, return_oversample=False, use_bg_psf=False, **kwargs): Parameters ========== sp : A normalized Pysynphot spectrum. If not specified, the default is flat - in phot lam (equal number of photons per spectral bin). - The default is normalized to produce 1 count/sec within that bandpass, - assuming the telescope collecting area and instrument bandpass. - Coronagraphic PSFs will further decrease this due to the smaller pupil - size and coronagraphic spot. DHS and grism observations do no yet have - pupil size reductions accounted for. + in phot lam (equal number of photons per spectral bin). + The default is normalized to produce 1 count/sec within that bandpass, + assuming the telescope collecting area and instrument bandpass. + Coronagraphic PSFs will further decrease this due to the smaller pupil + size and coronagraphic spot. DHS and grism observations do no yet have + pupil size reductions accounted for. return_oversample : If True, then also returns the oversampled version of the PSF use_bg_psf : If a coronagraphic observation, off-center PSF is different. @@ -1373,7 +1268,7 @@ def sat_limits(self, sp=None, bp_lim=None, units='vegamag', well_frac=0.8, well_level = self.Detectors[0].well_level # Total time spent integrating minus the reset frame - int_time = self.multiaccum_times['t_int_tot'] - self.multiaccum_times['t_frame'] + int_time = self.multiaccum_times['t_int'] kwargs = merge_dicts(kwargs, self._psf_info) satlim = sat_limit_webbpsf(self.bandpass, pupil=self.pupil, mask=self.mask, @@ -1399,12 +1294,16 @@ def sensitivity(self, nsig=10, units=None, sp=None, verbose=False, **kwargs): **kwargs ========== - These are all passed through the **kwargs parameter (among others...) forwardSNR : Find the SNR of the input spectrum instead of sensitivity. zfact : Factor to scale Zodiacal spectrum (default 2.5) ideal_Poisson : If set to True, use total signal for noise estimate, otherwise MULTIACCUM equation is used. + rad_EE : Extraction aperture radius (in pixels) for imaging mode. + dw_bin : Delta wavelength to calculate spectral sensitivities (grisms & DHS). + ap_spec : Instead of dw_bin, specify the spectral extraction aperture in pixels. + Takes priority over dw_bin. Value will get rounded up to nearest int. + Representative values for zfact: 0.0 - No zodiacal emission 1.0 - Minimum zodiacal emission from JWST-CALC-003894 (Figure 2-2) @@ -1439,7 +1338,7 @@ def sensitivity(self, nsig=10, units=None, sp=None, verbose=False, **kwargs): return bglim - def bg_zodi(self, zfact=None): + def bg_zodi(self, zfact=None, **kwargs): """ Return the Zodiacal background flux in e-/sec/pixel. Representative values for zfact: @@ -1449,6 +1348,14 @@ def bg_zodi(self, zfact=None): 2.5 - Average (default) 5.0 - High 10. - Maximum + + **kwargs + ========== + Other option for specifying zodiacal emisison using location and time of year + locstr : Object name, RA/DEC in decimal degrees or sexigesimal input + year : Year of observation + day : Day of observation + """ # Dark image @@ -1456,18 +1363,78 @@ def bg_zodi(self, zfact=None): return 0 bp = self.bandpass - waveset = bp.wave - sp_zodi = zodi_spec(zfact) - obs_zodi = S.Observation(sp_zodi, bp, waveset) + waveset = bp.wave + sp_zodi = zodi_spec(zfact, **kwargs) + obs_zodi = S.Observation(sp_zodi, bp, waveset) fzodi_pix = obs_zodi.countrate() * (self.pix_scale/206265.0)**2 + + # Recommend a zfact value if locstr, year, and day specified + if 'locstr' in kwargs.keys(): + sp_zodi_temp = zodi_spec(zfact=1) + obs_zodi_temp = S.Observation(sp_zodi_temp, bp, waveset) + fzodi_pix_temp = obs_zodi_temp.countrate() * (self.pix_scale/206265.0)**2 + zf_rec = fzodi_pix / fzodi_pix_temp + str1 = 'Using locstr,year,day keywords can be very slow. \n' + str2 = 'For your specified loc and date, we recommend using zfact={:.1f}'\ + .format(zf_rec) + _log.warning(str1) + _log.warning(str2) + # Don't forget about Lyot mask attenuation (not in bandpass throughput) if ('LYOT' in self.pupil): fzodi_pix *= 0.19 return fzodi_pix + + def saturation_levels(self, sp, full_size=True, ngroup=0, **kwargs): + """ + Create image showing level of saturation for each pixel. + Can either show the saturation after one frame (default) + or after the ramp has finished integrating (ramp_sat=True). + + Parameters + ========== + sp : A pysynphot spectral object (normalized). + full_size : Expand (or contract) to size of detector array? + If False, use fov_pix size. + ngroup : How many group times to determine saturation level? + The default is ngroup=0, which corresponds to the + so-called "zero-frame." This is the very first frame + that is read-out and saved separately. If this number + is higher than the total groups in ramp, then a + warning is produced. + + """ + + assert ngroup >= 0 - def gen_exposures(self, sp=None, file_out=None, return_results=None): + t_frame = self.multiaccum_times['t_frame'] + t_int = self.multiaccum_times['t_int'] + if ngroup==0: + t_sat = t_frame + else: + ma = self.multiaccum + nf = ma.nf; nd1 = ma.nd1; nd2 = ma.nd2 + t_sat = (nd1 + ngroup*nf + (ngroup-1)*nd2) * t_frame + + if t_sat>t_int: + _log.warning('ngroup*t_group is greater than t_int.') + + # Slope image of input source + image = self.gen_psf(sp) + if full_size: + shape = (self.det_info['ypix'], self.det_info['xpix']) + image = pad_or_cut_to_size(image, shape) + + # Well levels after "saturation time" + sat_level = image * t_sat / self.well_level + + return sat_level + + def gen_exposures(self, sp=None, im_slope=None, file_out=None, return_results=None, + targ_name=None, timeFileNames=False, DMS=True, + dark=True, bias=True, nproc=None, **kwargs): """ Create a series of ramp integration saved to FITS files based on the current NIRCam settings. @@ -1481,11 +1448,16 @@ def gen_exposures(self, sp=None, file_out=None, return_results=None): - Optical distortions - Zodiacal background roll off for grism edges - Telescope jitter + - Cosmic Rays Parameters ========== - sp : A pysynphot spectral object. If not specified, then + im_slope : Pass the slope image directly. If not set, then a slope + image will be created from the input spectrum keyword. This + should include zodiacal light emission, but not dark current. + Make sure this is in detector coordinates. + sp : A pysynphot spectral object. If not specified, then it is assumed that we're looking at blank sky. file_out : Path and name of output FITs files. Time stamps will be automatically inserted for unique file names. @@ -1495,37 +1467,70 @@ def gen_exposures(self, sp=None, file_out=None, return_results=None): data can lead to large memory usage. Save the FITs files to disk if NINTs is large. We include the return_results keyword if the user would like to do both (or neither??). + + targ_name : A target name for the exposure file's header. + timeFileNames : Save the exposure times in the file name? This is + useful to see the timing, but also makes it a little harder + to combine INTs later for DMS simulations. + + dark : Include the super dark current? + bias : Include the super bias frame? + + **kwargs + ========== + zfact : Factor to scale Zodiacal spectrum (default 2.5) + locstr,year,day : Another option for specifying zodiacal emisison rate + - locstr : Object name, RA/DEC in decimal degrees or sexigesimal input + - year : Year of observation + - day : Day of observation + + """ + det = self.Detectors[0] filter = self.filter pupil = self.pupil xpix = self.det_info['xpix'] ypix = self.det_info['ypix'] - - # No visible source - if ('FLAT' in pupil) or (sp is None): - im_slope = np.zeros([ypix,xpix]) - # Grism spec - elif ('GRISM' in pupil): - w, im_slope = self.gen_psf(sp) - # DHS spectroscopy - elif ('DHS' in pupil): - raise NotImplementedError('DHS has yet to be fully included') - # Imaging+Coronagraphy - else: - im_slope = self.gen_psf(sp)[0] + # If slope image is not specified + if im_slope is None: + # No visible source + if ('FLAT' in pupil) or (sp is None): + im_slope = np.zeros([ypix,xpix]) + # Grism spec + elif ('GRISM' in pupil): + w, im_slope = self.gen_psf(sp) + # DHS spectroscopy + elif ('DHS' in pupil): + raise NotImplementedError('DHS has yet to be fully included') + # Imaging+Coronagraphy + else: + im_slope = self.gen_psf(sp) - # Add in Zodi emission - if not ('FLAT' in pupil): im_slope += self.bg_zodi() + # Add in Zodi emission + # Returns 0 if self.pupil='FLAT' + im_slope += self.bg_zodi(zfact, **kwargs) + + targ_name = sp.name if targ_name is None else targ_name + + # Image coordinates have +V3 up and +V2 to left + # Want to convert to detector coordinates + im_slope = V2V3_to_det(image, det.detid) + # Minimum value of slope + im_min = im_slope[im_slope>=0].min() # Expand or cut to detector size im_slope = pad_or_cut_to_size(im_slope, (ypix,xpix)) - im_slope[im_slope==0] = im_slope[im_slope>0].min() + # Make sure there are no negative numbers + im_slope[im_slope<=0] = im_min # Create times indicating start of new ramp t0 = datetime.datetime.now() - dt = self.multiaccum_times['t_int_tot'] + if timeFileNames == True: + dt = self.multiaccum_times['t_int_tot'] + else: + dt = 0. nint = self.det_info['nint'] time_list = [t0 + datetime.timedelta(seconds=i*dt) for i in range(nint)] @@ -1542,35 +1547,42 @@ def gen_exposures(self, sp=None, file_out=None, return_results=None): if file_out[-1:] == '_': file_out = file_out[:-1] - for t in time_list: + for fileInd, t in enumerate(time_list): file_time = t.isoformat()[:-7] file_time = file_time.replace(':', 'h', 1) file_time = file_time.replace(':', 'm', 1) - file_list.append(file_out + '_' + file_time + '.fits') + file_list.append(file_out + '_' + file_time + "_{0:04d}".format(fileInd) + '.fits') # Create a list of arguments to pass # For now, we're only doing the first detector. This will need to get more # sophisticated for SW FPAs - det = self.Detectors[0] - worker_arguments = [(det, im_slope, True, fout, filter, pupil, otime) + worker_arguments = [(det, im_slope, True, fout, filter, pupil, otime, \ + targ_name, DMS, dark, bias, return_results) \ for fout,otime in zip(file_list, time_list)] - nproc = nproc_use_ng(det) + nproc = nproc_use_ng(det) if nproc is None else nproc if nproc<=1: res = map(gen_fits, worker_arguments) else: pool = mp.Pool(nproc) - res = pool.map(gen_fits, worker_arguments) - pool.close() + try: + res = pool.map(gen_fits, worker_arguments) + except Exception as e: + print('Caught an exception during multiprocess:') + raise e + finally: + pool.close() if return_results: return res def ramp_optimize(self, sp, sp_bright=None, is_extended=False, patterns=None, - well_frac_max=0.8, nint_min=1, nint_max=1000, ng_min=2, ng_max=None, snr_goal=None, snr_frac=0.02, tacq_max=None, tacq_frac=0.1, - return_full_table=False, verbose=False, **kwargs): + well_frac_max=0.8, nint_min=1, nint_max=5000, ng_min=2, ng_max=None, + return_full_table=False, even_nints=False, verbose=False, **kwargs): """ + Set either snr_goal or tacq_max. + Find the optimal ramp settings to observe spectrum based input constraints. This function quickly runs through each detector readout pattern and calculates the acquisition time and SNR for all possible settings of NINT @@ -1594,25 +1606,42 @@ def ramp_optimize(self, sp, sp_bright=None, is_extended=False, patterns=None, sp is not occulted. is_extended : Treat source(s) as extended objects, then in units/arcsec^2 - patterns : List of a subset of MULTIACCUM patterns to check, otherwise check all. - well_frac_max : Maximum level that the pixel well is allowed to be filled. - Fractions greater than 1 imply hard saturation, but the reported - SNR will not be aware of any saturation that may occur to sp. snr_goal : Minimum required SNR for source. For grism, this is the average SNR for all wavelength. snr_frac : Give fractional buffer room rather than strict SNR cut-off. - nint_min/max : Min/max number of desired integrations. - ng_min/max : Min/max number of desired groups in a ramp. tacq_max : Maximum amount of acquisition time in seconds to consider. tacq_frac : Fractional amount of time to consider exceeding tacq_max. - ideal_Poisson : Default=True. Use total signal for noise estimate, - otherwise MULTIACCUM equation is used. + patterns : Subset of MULTIACCUM patterns to check, otherwise check all. + nint_min/max : Min/max number of desired integrations. + ng_min/max : Min/max number of desired groups in a ramp. + well_frac_max : Maximum level that the pixel well is allowed to be filled. + Fractions greater than 1 imply hard saturation, but the reported + SNR will not be aware of any saturation that may occur to sp. - return_full_table : Don't filter or sort the final results. + even_nints : Return only the even NINTS + return_full_table : Don't filter or sort the final results (ingores event_ints). verbose : Prints out top 10 results. + **kwargs + ========== + zfact : Factor to scale Zodiacal spectrum (default 2.5) + locstr,year,day : Another option for specifying zodiacal emisison. + These are not recommended for use given the amount of time it + takes to query the Euclid web server. Instead, use NIRCam.bg_zodi() + to match a zfact estimate. + locstr - Object name, RA/DEC in decimal degrees or sexigesimal input + year - Year of observation + day - Day of observation + + ideal_Poisson : Default=True. Use total signal for noise estimate, + otherwise MULTIACCUM equation is used. + + rad_EE : Extraction aperture radius (in pixels) for imaging mode. + dw_bin : Delta wavelength to calculate spectral sensitivities (grisms & DHS). + ap_spec : Instead of dw_bin, specify the spectral extraction aperture in pixels. + Takes priority over dw_bin. Value will get rounded up to nearest int. """ @@ -1662,9 +1691,9 @@ def parse_snr(snr, grism_obs, ind_snr): psf_faint = self.gen_psf(sp, use_bg_psf=True) pix_count_rate = np.max([psf_bright.max(), psf_faint.max()]) - image = self.sensitivity(sp=sp, forwardSNR=True, return_image=True) + image = self.sensitivity(sp=sp, forwardSNR=True, return_image=True, **kwargs) - # Cycle through each readout pattern + # Correctly format patterns pattern_settings = self.multiaccum._pattern_settings if patterns is None: patterns = pattern_settings.keys() @@ -1686,6 +1715,7 @@ def parse_snr(snr, grism_obs, ind_snr): rows = [] if tacq_max is not None: snr_goal_list = [] + # Cycle through each readout pattern for read_mode in patterns: if verbose: print(read_mode) @@ -1703,7 +1733,7 @@ def parse_snr(snr, grism_obs, ind_snr): # Get saturation level of observation # Total time spent integrating minus the reset frame - int_time = mtimes['t_int_tot'] - mtimes['t_frame'] + int_time = mtimes['t_int'] well_frac = pix_count_rate * int_time / self.well_level # If above well_frac_max, then this setting is invalid @@ -1718,6 +1748,7 @@ def parse_snr(snr, grism_obs, ind_snr): nint2 = np.min([nint2,nint_max]) nint_all = range(nint1, nint2+1) + narr = len(nint_all) # Sometimes there are a lot of nint values to check # Let's pair down to <5 per ng @@ -1729,8 +1760,7 @@ def parse_snr(snr, grism_obs, ind_snr): #print(len(nint_all)) for nint in nint_all: - if nint > nint_max: - break + if nint > nint_max: break self.update_detectors(nint=nint) mtimes = self.multiaccum_times sen = self.sensitivity(sp=sp, forwardSNR=True, image=image, **kwargs) @@ -1751,13 +1781,14 @@ def parse_snr(snr, grism_obs, ind_snr): if nng>20: _log.warning('Cycling through {} NGRPs. This may take a while!'\ .format(nng)) + + ng_saved = False for ng in range(ng_min,ngroup_max+1): self.update_detectors(read_mode=read_mode, ngroup=ng, nint=1) mtimes = self.multiaccum_times # Get saturation level of observation - # Total time spent integrating minus the reset frame - int_time = mtimes['t_int_tot'] - mtimes['t_frame'] + int_time = mtimes['t_int'] well_frac = pix_count_rate * int_time / self.well_level # If above well_frac_max, then this setting is invalid if well_frac > well_frac_max: @@ -1785,17 +1816,25 @@ def parse_snr(snr, grism_obs, ind_snr): sen = self.sensitivity(sp=sp, forwardSNR=True, image=image, **kwargs) snr = parse_snr(sen, grism_obs, ind_snr) - # Skip if NINT or SNR are out of bounds - if (nint > nint_max) or (snr > ((1+snr_frac)*snr_goal)): + # Skip if NINT + if (nint > nint_max):# or : + continue + + # We want to make sure that at least one NINT setting is saved + # if the resulting SNR is higher than our stated goal. + if (snr > ((1+snr_frac)*snr_goal)) and ng_saved: continue rows.append((read_mode, ng, nint, mtimes['t_int'], mtimes['t_exp'], \ mtimes['t_acq'], snr, well_frac)) + ng_saved = True + # Increment NINT until SNR > 1.05 snr_goal # Add each NINT to table output while (snr < ((1+snr_frac)*snr_goal)) and (nint<=nint_max): nint += 1 + if (nint > nint_max): break # double-check self.update_detectors(nint=nint) sen = self.sensitivity(sp=sp, forwardSNR=True, image=image, **kwargs) snr = parse_snr(sen, grism_obs, ind_snr) @@ -1831,12 +1870,17 @@ def parse_snr(snr, grism_obs, ind_snr): ind_sort = np.lexsort((t_all['t_acq'],1/t_all['eff'])) t_all = t_all[ind_sort] if verbose: - print("Top 10 results sorted by 'efficiency' (SNR/t_acq):") + print("Top 10 results sorted by 'efficiency' [SNR/sqrt(t_acq)]:") print(t_all[0:10]) else: t_all = table_filter(t_all, **kwargs) ind_sort = np.lexsort((t_all['t_acq'],1/t_all['eff'])) t_all = t_all[ind_sort] + # Select only even integrations + if even_nints: + ind = (t_all['NINT'] % 2 == 0) + t_all = t_all[ind] + if verbose: print(t_all) return t_all @@ -1934,7 +1978,7 @@ def tuples_to_dict(pairs, verbose=False): def merge_dicts(*dict_args): """ Given any number of dicts, shallow copy and merge into a new dict. - If the same key appars mutile times, precedence goes to key/value + If the same key appars mutile times, priority goes to key/value pairs in latter dicts. """ result = {} @@ -1947,12 +1991,22 @@ def gen_fits(args): """ Helper function for generating FITs integrations from a slope image """ - from ngNRC import slope_to_ramp + from .simul.ngNRC import slope_to_ramp # Must call np.random.seed() for multiprocessing, otherwise # random numbers for parallel processes start in the same seed state! np.random.seed() - res = slope_to_ramp(*args) + try: + res = slope_to_ramp(*args) + except Exception as e: + print('Caught exception in worker thread:') + # This prints the type, value, and stack trace of the + # current exception being handled. + traceback.print_exc() + + print() + raise e + return res def nproc_use_ng(det): @@ -2027,4 +2081,3 @@ def nproc_use_ng(det): if nproc < 1: nproc = 1 return int(nproc) - diff --git a/pynrc/reduce/__init__.py b/pynrc/reduce/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pynrc/reduce/ref_pixels.py b/pynrc/reduce/ref_pixels.py new file mode 100644 index 00000000..c0f0c18f --- /dev/null +++ b/pynrc/reduce/ref_pixels.py @@ -0,0 +1,863 @@ +from __future__ import absolute_import, division, print_function, unicode_literals +import numpy as np +import logging +_log = logging.getLogger('pynrc') + +# The six library is useful for Python 2 and 3 compatibility +#import six + +# Import libraries +import numpy as np +import pynrc +from pynrc.maths import robust +#from pynrc.maths import nrc_utils + +#from . import * +#from .nrc_utils import * + + +### # import matplotlib +### # import matplotlib.pyplot as plt +### matplotlib.rcParams['image.origin'] = 'lower' +### matplotlib.rcParams['image.interpolation'] = 'none' +### #matplotlib.rcParams['image.cmap'] = 'gist_heat' +### +### from astropy.io import fits +### +### dir = '/Volumes/NIRData/NIRCam/Char_Darks/CV3/FITS/489/' +### f = dir + 'NRCNRCB4-DARK-60091316411_1_489_SE_2016-01-09T14h23m38.fits' +### hdulist = fits.open(f) +### cube = np.ndarray.astype(hdulist[0].data,np.float) +### hdulist.close() +### del hdulist[0].data +### +### fbias = '/Volumes/NIRData/NIRCam/Char_Darks/CV3/489/SUPER_BIAS_489.FITS' +### hdulist = fits.open(fbias) +### bias = hdulist[0].data +### +### # We need a better superbias frame. +### # These ones did not correctly determine the intrinsic values +### # of the reference pixels. +### for im in cube: +### im -= bias +### +### cube = reffix_amps(cube) + +class NRC_refs(object): + + """ + Object class for reference pixel correction of NIRCam data (single integration). + Specify the data cube, header, and whether or not the header is in DMS format. + + Init Parameters + =============== + data : Input datacube. Can be two or three dimensions (nz,ny,nx). + header : NIRCam Header associated with data + DMS : Is the header in DMS format? + altcol : Calculate separate reference values for even/odd columns. + + General usage of functions: + 1. Create instance: ref = NRC_refs(data, header) + 2. Determine reference offset values: ref.calc_avg_amps() + - Stored at ref.refs_amps_avg + 3. Fix amplifier offsets: ref.correct_amp_refs() + - Removes offsets that are stored at ref.refs_amps_avg + 4. Determine average of column references tracking 1/f noise: ref.calc_avg_cols() + - Reference values offset for a mean value of 0.0 + - Averages are stored at ref.refs_side_avg + 5. Optimal smoothing of side reference values: ref.calc_col_smooth() + - Stores smoothed version at ref.refs_side_smth + 6. Remove approximation of 1/f noise: ref.correct_col_refs() + """ + + def __init__(self, data, header, DMS=False, altcol=True, do_all=False): + + # Convert to float if necessary + if 'float' not in data.dtype.name: + type_in = data.dtype.name + data = data.astype(np.float, copy=False) + type_out = data.dtype.name + #print('Converting data from {} to {}'.format(type_in, type_out)) + + # Check the number of dimensions are valid. + ndim = len(data.shape) + if ndim==2: + ny,nx = data.shape + data = data.reshape((1,ny,nx)) + print('Reshaping data to 3 dimensions (nz,ny,nx)') + elif ndim==3: + pass + else: + raise ValueError('Input data can only have 2 or 3 dimensions. \ + Found {} dimensions.'.format(ndim)) + + self.data = data + self.header = header + + self.DMS = DMS + self.altcol = altcol + + # Create a detector class + self._create_detops() + + # Reference info from header + self.nref_t = self.header['TREFROW'] + self.nref_b = self.header['BREFROW'] + self.nref_l = self.header['LREFCOL'] + self.nref_r = self.header['RREFCOL'] + + # Check that reference pixels match up correctly between header and det class + ref_all = self.detector.ref_info + assert self.nref_t == ref_all[1], 'Number of top reference rows do not match.' + assert self.nref_b == ref_all[0], 'Number of bottom reference rows do not match.' + assert self.nref_l == ref_all[2], 'Number of left reference columns do not match.' + assert self.nref_r == ref_all[3], 'Number of right reference columns do not match.' + + # Set amplifier offset values to None initially + self.refs_amps_avg = None + # Set column reference values to None initially + self.refs_side_avg = None + + # Perform all the usual ref pixel corrections with defaults + if do_all: + self.calc_avg_amps() + self.correct_amp_refs() + self.calc_avg_cols() + self.calc_col_smooth() + self.correct_col_refs() + + def _create_detops(self, read_mode=None, nint=None, ngroup=None, + detector=None, wind_mode=None, xpix=None, ypix=None, x0=None, y0=None): + """ + Create a detector class based on header settings. + """ + + header = self.header + DMS = self.DMS + + # Detector ID + detector = header['SCA_ID'] if detector is None else detector + + # Detector size + xpix = header['SUBSIZE1'] if DMS else header['NAXIS1'] if xpix is None else xpix + ypix = header['SUBSIZE2'] if DMS else header['NAXIS2'] if ypix is None else ypix + + # Subarray position + # Headers are 1-indexed, while detector class is 0-indexed + if x0 is None: + x1 = header['SUBSTRT1'] if DMS else header['COLCORNR'] + x0 = x1 - 1 + if y0 is None: + y1 = header['SUBSTRT2'] if DMS else header['ROWCORNR'] + y0 = y1 - 1 + + # Subarray setting, Full, Stripe, or Window + if wind_mode is None: + if DMS: + if 'FULL' in header['SUBARRAY']: + wind_mode = 'FULL' + elif 'GRISM' in header['SUBARRAY']: + wind_mode = 'STRIPE' + else: + wind_mode = 'WINDOW' + else: + if not header['SUBARRAY']: + wind_mode = 'FULL' + elif xpix==2048: + wind_mode = 'STRIPE' + else: + wind_mode = 'WINDOW' + + # Add MultiAccum info + if DMS: hnames = ['READPATT', 'NINTS', 'NGROUPS'] + else: hnames = ['READOUT', 'NINT', 'NGROUP'] + + read_mode = header[hnames[0]] if read_mode is None else read_mode + nint = header[hnames[1]] if nint is None else nint + ngroup = header[hnames[2]] if ngroup is None else ngroup + + ma_args = {'read_mode':read_mode, 'nint':nint, 'ngroup':ngroup} + + # Create detector class + self.detector = pynrc.DetectorOps(detector, wind_mode, xpix, ypix, x0, y0, **ma_args) + + @property + def multiaccum(self): + return self.detector.multiaccum + + @property + def multiaccum_times(self): + return self.detector.times_to_dict() + + @property + def refs_bot(self): + """Return raw bottom reference values""" + if self.nref_l>0: + return self.data[:,:self.nref_b,:] + else: + return None + @property + def refs_top(self): + """Return raw top reference values""" + if self.nref_l>0: + return self.data[:,-self.nref_t:,:] + else: + return None + @property + def refs_right(self): + """Return raw right reference values""" + if self.nref_l>0: + return self.data[:,:,-self.nref_r:] + else: + return None + @property + def refs_left(self): + """Return raw left reference values""" + if self.nref_l>0: + return self.data[:,:,:self.nref_l] + else: + return None + + + def calc_avg_amps(self, top_ref=True, bot_ref=True): + """ + Save the average reference value for each amplifier in each frame. + Each array has a size of (namp, ngroup). + + top_ref (bool) : Include top reference rows when correcting channel offsets. + bot_ref (bool) : Include bottom reference rows when correcting channel offsets. + """ + nchans = self.detector.nout + #chsize = self.detector.chsize + data_shape = self.data.shape + + if self.nref_t==0: top_ref = False + if self.nref_b==0: bot_ref = False + + if top_ref and bot_ref: + refs_all = np.hstack((self.refs_bot, self.refs_top)) + elif bot_ref and (not top_ref): + refs_all = self.refs_bot + elif top_ref and (not bot_ref): + refs_all = self.refs_top + else: + print("No top or bottom reference pixels to calculate offset values.") + #self.refs_amps_avg = None + return + + self.refs_amps_avg = calc_avg_amps(refs_all, data_shape, nchans, self.altcol) + + def correct_amp_refs(self, supermean=False): + """ + Use values from calc_avg_amps to correct amplifier offsets. + + supermean (bool) : Add back the overall mean of the reference pixels. + """ + + # Check to make sure refs_amps_avg is valid + if (self.refs_amps_avg is None): + raise ValueError('self.refs_amps_avg is set to None') + + # Supermean + # the average of the average is the DC level of the output channel + smean = robust.mean(refs_all) if supermean else 0.0 + + nchans = self.detector.nout + chsize = self.detector.chsize + nz, ny, nx = self.data.shape + for ch in range(nchans): + # Channel indices + ich1 = ch*chsize + ich2 = ich1 + chsize + + # In-place subtraction of channel averages + if self.altcol: + for i in range(nz): + self.data[i,:,ich1:ich2-1:2] -= self.refs_amps_avg[0][ch,i] + self.data[i,:,ich1+1:ich2:2] -= self.refs_amps_avg[1][ch,i] + else: + for i in range(nz): + self.data[i,:,ich1:ich2] -= self.refs_amps_avg[ch,i] + + # Add back supermean + if supermean: self.data += smean + + + def calc_avg_cols(self, left_ref=True, right_ref=True, avg_type='frame'): + """ + Create a copy of the left and right reference pixels, removing the average + value of the reference pixels on an int, frame, or pixel basis. Do this + after correcting the amplifier offsets with self.corr_col_refs(). + + left_ref (bool) : Include left reference cols when correcting 1/f noise. + right_ref (bool) : Include right reference cols when correcting 1/f noise. + avg_type (str) : Type of ref col averaging to perform. Allowed values are + 'pixel', 'frame', or 'int'. + """ + + if self.nref_l==0: left_ref = False + if self.nref_r==0: right_ref = False + + if (not left_ref) and (not right_ref): + print("No left or right reference pixels to calculate 1/f noise.") + self.refs_side_avg = None + return + + rl = self.refs_left if left_ref else None + rr = self.refs_right if right_ref else None + self.refs_side_avg = calc_avg_cols(rl, rr, avg_type) + + + def calc_col_smooth(self, perint=False, edge_wrap=False): + """ + Geneated smoothed version of column reference values. + Smooths calc_col_refs() to determine approx 1/f noise in data. + + perint (bool) : Smooth side reference pixel per int, otherwise per frame. + edge_wrap (bool) : Add a partial frames to the beginning and end of each averaged + time series pixels in order to get rid of edge effects. + """ + + refvals = self.refs_side_avg + + # Check to make sure refs_amps_avg1 and refs_amps_avg2 are valid + if refvals is None: + raise ValueError('self.refs_side_avg set to None') + + # Time to go through an entire row. + # The delta time does't seem to make any difference in the final data product + # Just for vizualization purposes... + xticks = self.detector.chsize + self.detector._line_overhead + delt = xticks / self.detector._pixel_rate + + # Save smoothed values + self.refs_side_smth = calc_col_smooth(refvals, self.data.shape, \ + perint, edge_wrap, delt) + + def correct_col_refs(self): + """ + Correct approximation of 1/f noise stored in refs_side_smth. + """ + + # Final correction + #for i,im in enumerate(cube): im -= refvals_smoothed[i].reshape([ny,1]) + nz, ny, nx = self.data.shape + self.data -= self.refs_side_smth.reshape([nz,ny,1]) + + + + +def reffix_hxrg(cube, nchans=4, in_place=True, fixcol=False, **kwargs): + """ + This program performs a reference pixel correction + on HAWAII-[1,2,4]RG detector data read out using N outputs. + Top and bottom reference pixels are used first to remove + channel offsets. + + Parameters + =========== + cube (ndarray) : Input datacube. Can be two or three dimensions (nz,ny,nx). + in_place (bool) : Perform calculations in place. Input array is overwritten. + nchans (int) : Number of output amplifier channels in the detector. Default=4. + fix_col (bool) : Perform reference column corrections? + + Channel amplifier keywords + -------------------------- + altcol (bool) : Calculate separate reference values for even/odd columns. + supermean (bool) : Add back the overall mean of the reference pixels. + top_ref (bool) : Include top reference rows when correcting channel offsets. + bot_ref (bool) : Include bottom reference rows when correcting channel offsets. + ntop (int) : Specify the number of top reference rows. + nbot (int) : Specify the number of bottom reference rows. + + Reference column keywords + -------------------------- + left_ref (bool) : Include left reference cols when correcting 1/f noise. + right_ref (bool) : Include right reference cols when correcting 1/f noise. + nleft (int) : Specify the number of left reference columns. + nright (int) : Specify the number of right reference columns. + perint (bool) : Smooth side reference pixel per integration, + otherwise do frame-by-frame. + avg_type (str) : Type of ref col averaging to perform. Allowed values are + 'pixel', 'frame', or 'int'. + """ + + # Check the number of dimensions are valid. + ndim = len(cube.shape) + if not (ndim==2 or ndim==3): + raise ValueError('Input data can only have 2 or 3 dimensions. \ + Found {} dimensions.'.format(ndim)) + + # Convert to float + if 'float' not in cube.dtype.name: + copy = (not in_place) + cube = cube.astype(np.float, copy=copy) + + if not in_place: + cube = np.copy(cube) + + # Remove channel offsets + cube = reffix_amps(cube, in_place=True, **kwargs) + + # Fix 1/f noise using vertical reference pixels + if fixcol: + cube = ref_filter(cube, in_place=True, **kwargs) + + return cube + + +def reffix_amps(cube, nchans=4, in_place=True, altcol=True, supermean=False, + top_ref=True, bot_ref=True, ntop=4, nbot=4, **kwargs): + """ + Matches all amplifier outputs of the detector to a common level. + + This routine subtracts the average of the top and bottom reference rows + for each amplifier and frame individually. + + By default, reference pixel corrections are performed in place since it's + faster and consumes less memory. + + Parameters + =========== + cube (ndarray) : Input datacube. Can be two or three dimensions (nz,ny,nx). + nchans (int) : Number of output amplifier channels in the detector. Default=4. + altcol (bool) : Calculate separate reference values for even/odd columns. + supermean (bool) : Add back the overall mean of the reference pixels. + in_place (bool) : Perform calculations in place. Input array is overwritten. + top_ref (bool) : Include top reference rows when correcting channel offsets. + bot_ref (bool) : Include bottom reference rows when correcting channel offsets. + ntop (int) : Specify the number of top reference rows. + nbot (int) : Specify the number of bottom reference rows. + """ + + if not in_place: + cube = np.copy(cube) + + # Check the number of dimensions are valid. + ndim = len(cube.shape) + if ndim==2: + ny,nx = cube.shape + nz = 1 + cube = cube.reshape((nz,ny,nx)) + elif ndim==3: + nz, ny, nx = cube.shape + else: + raise ValueError('Input data can only have 2 or 3 dimensions. \ + Found {} dimensions.'.format(ndim)) + + chsize = int(nx / nchans) + + # Number of reference rows to use + # Set nt or nb equal to 0 if we don't want to use either + nt = ntop if top_ref else 0 + nb = nbot if bot_ref else 0 + + if (nt+nb)==0: + print("No reference pixels available for use. Returning...") + return + + # Slice out reference pixels + refs_bot = cube[:,:nb,:] + refs_top = cube[:,-nt:,:] + if nt==0: + refs_all = refs_bot + elif nb==0: + refs_all = refs_top + else: + refs_all = np.hstack((refs_bot, refs_top)) + + assert refs_all.shape[1] == (nb+nt) + + # Supermean + # the average of the average is the DC level of the output channel + smean = robust.mean(refs_all) if supermean else 0.0 + + # Calculate avg reference values for each frame and channel + refs_amps_avg = calc_avg_amps(refs_all, cube.shape, nchans=4, altcol=True) + + for ch in range(nchans): + # Channel indices + ich1 = ch*chsize + ich2 = ich1 + chsize + + # In-place subtraction of channel medians + if altcol: + for i in range(nz): + cube[i,:,ich1:ich2-1:2] -= refs_amps_avg[0][ch,i] + cube[i,:,ich1+1:ich2:2] -= refs_amps_avg[1][ch,i] + else: + for i in range(nz): + cube[i,:,ich1:ich2] -= refs_amps_avg[ch,i] + + # Add back supermean + if supermean: cube += smean + + if ndim==2: return cube[0] + else: return cube + + +def ref_filter(cube, nchans=4, in_place=True, avg_type='frame', perint=False, edge_wrap=False, + left_ref=True, right_ref=True, nleft=4, nright=4, **kwargs): + """ + Performs an optimal filtering of the vertical reference pixel to + reduce 1/f noise (horizontal stripes). + + Adapted from M. Robberto IDL code: + http://www.stsci.edu/~robberto/Main/Software/IDL4pipeline/ + + Parameters + =========== + cube (ndarray) : Input datacube. Can be two or three dimensions (nz,ny,nx). + nchans (int) : Number of output amplifier channels in the detector. Default=4. + in_place (bool) : Perform calculations in place. Input array is overwritten. + perint (bool) : Smooth side reference pixel per integration, + otherwise do frame-by-frame. + avg_type (str) : Type of ref col averaging to perform. Allowed values are + 'pixel', 'frame', or 'int'. + left_ref (bool) : Include left reference cols when correcting 1/f noise. + right_ref (bool) : Include right reference cols when correcting 1/f noise. + nleft (int) : Specify the number of left reference columns. + nright (int) : Specify the number of right reference columns. + """ + + if not in_place: + cube = np.copy(cube) + + # Check the number of dimensions are valid. + ndim = len(cube.shape) + if ndim==2: + ny,nx = cube.shape + nz = 1 + cube = cube.reshape((nz,ny,nx)) + elif ndim==3: + nz, ny, nx = cube.shape + else: + raise ValueError('Input data can only have 2 or 3 dimensions. \ + Found {} dimensions.'.format(ndim)) + + # Number of reference rows to use + # Set nt or nb equal to 0 if we don't want to use either + nl = nleft if left_ref else 0 + nr = nright if right_ref else 0 + + assert nl>=0, 'Number of left reference pixels must not be negative.' + assert nr>=0, 'Number of right reference pixels must not be negative.' + + if (nl+nr)==0: + print("No reference pixels available for use. Returning...") + return + + # Slice out reference pixel columns + refs_left = cube[:,:,:nl] if nl>0 else None + refs_right = cube[:,:,-nr:] if nr>0 else None + refvals = calc_avg_cols(refs_left, refs_right, avg_type) + + # The delta time does't seem to make any difference in the final data product + # Just for vizualization purposes... + delt = 10E-6 * (nx/nchans + 12.) + refvals_smoothed = calc_col_smooth(refvals, cube.shape, perint, edge_wrap, delt) + + # Final correction + #for i,im in enumerate(cube): im -= refvals_smoothed[i].reshape([ny,1]) + cube -= refvals_smoothed.reshape([nz,ny,1]) + + return cube + + + +def calc_avg_amps(refs_all, data_shape, nchans=4, altcol=True): + """ + Save the average reference value for each amplifier in each frame. + This assumes that alternating columns are offset from each other, + so we save two arrays: self.refs_amps_avg1 and self.refs_amps_avg2. Each array + has a size of (namp, ngroup). + + top_ref (bool) : Include top reference rows when correcting channel offsets. + bot_ref (bool) : Include bottom reference rows when correcting channel offsets. + """ + + nz, ny, nx = data_shape + chsize = int(nx / nchans) + + if altcol: + refs_amps_avg1 = [] + refs_amps_avg2 = [] + for ch in range(nchans): + # Channel indices + ich1 = ch*chsize + ich2 = ich1 + chsize + + # Slice out alternating columns + refs_ch1 = refs_all[:,:,ich1:ich2-1:2].reshape((nz,-1)) + refs_ch2 = refs_all[:,:,ich1+1:ich2:2].reshape((nz,-1)) + + # Take the resistant mean + chavg1 = robust.mean(refs_ch1,axis=1) + chavg2 = robust.mean(refs_ch2,axis=1) + + refs_amps_avg1.append(chavg1) + refs_amps_avg2.append(chavg2) + + return (np.array(refs_amps_avg1), np.array(refs_amps_avg2)) + else: + refs_amps_avg = [] + for ch in range(nchans): + # Channel indices + ich1 = ch*chsize + ich2 = ich1 + chsize + + # Slice out alternating columns + refs_ch = refs_all[:,:,ich1:ich2].reshape((nz,-1)) + + # Take the resistant mean and reshape for broadcasting + chavg = robust.mean(refs_ch,axis=1).reshape(-1,1,1) + refs_amps_avg.append(chavg) + + return np.array(refs_amps_avg) + + +def calc_avg_cols(refs_left=None, refs_right=None, avg_type='frame'): + """ + Determine the average values for the column references in order + to estimate the 1/f noise contribution. + """ + + nl = 0 if refs_left is None else 1 + nr = 0 if refs_right is None else 1 + + # Left and right reference pixels + if nl>0: refs_left = np.copy(refs_left) + if nr>0: refs_right = np.copy(refs_right) + + # Set the average of left and right reference pixels to zero + # By default, pixel averaging is best for large groups + if avg_type is None: + avg_type = 'frame' + # If there is only 1 frame, then we have to do per frame averaging. + # Set to per int, which produces the same result as per frame for nz=1. + if refs_left is not None: + nz, ny, nchan = refs_left.shape + else: + nz, ny, nchan = refs_right.shape + if nz==1: + avg_type = 'int' + + # Remove average ref pixel values + # Average over entire integration + if 'int' in avg_type: + if nl>0: refs_left -= np.median(refs_left) + if nr>0: refs_right -= np.median(refs_right) + # Average over each frame + elif 'frame' in avg_type: + if nl>0: refs_left_mean = np.median(refs_left.reshape((nz,-1)), axis=1) + if nr>0: refs_right_mean = np.median(refs_right.reshape((nz,-1)), axis=1) + # Subtract estimate of each ref pixel "intrinsic" value + for i in range(nz): + if nl>0: refs_left[i] -= refs_left_mean[i] + if nr>0: refs_right[i] -= refs_right_mean[i] + # Take the average of each reference pixel + elif 'pix' in avg_type: + if nl>0: refs_left_mean = np.median(refs_left, axis=0) + if nr>0: refs_right_mean = np.median(refs_right, axis=0) + # Subtract estimate of each ref pixel "intrinsic" value + for i in range(nz): + if nl>0: refs_left[i] -= refs_left_mean + if nr>0: refs_right[i] -= refs_right_mean + + if nl==0: + refs_side_avg = refs_right.mean(axis=2) + elif nr==0: + refs_side_avg = refs_left.mean(axis=2) + else: + refs_side_avg = (refs_right.mean(axis=2) + refs_left.mean(axis=2)) / 2 + + return refs_side_avg + + + +def calc_col_smooth(refvals, data_shape, perint=False, edge_wrap=False, delt=5.24E-4): + """ + Geneated smoothed version of column reference values. + Smooths values from calc_col_refs() via FFT. + + perint (bool) : Smooth side reference pixel per int, otherwise per frame. + edge_wrap (bool) : Add a partial frames to the beginning and end of each averaged + time seires pixels in order to get rid of edge effects. + """ + + nz,ny,nx = data_shape + + # May want to revisit the do-all-at-once or break-up decision + # This may depend on preamp reset per frame or per integration + # For now, we'll do it frame-by-frame by default (perint=False) + if perint: + if edge_wrap: # Wrap around to avoid edge effects + refvals2 = np.vstack((refvals[0][::-1], refvals, refvals[-1][::-1])) + refvals_smoothed2 = smooth_fft(refvals2, delt) + refvals_smoothed = refvals_smoothed2[ny:-ny].reshape(refvals.shape) + else: + refvals_smoothed = smooth_fft(refvals, delt).reshape(refvals.shape) + else: + if edge_wrap: # Wrap around to avoid edge effects + refvals_smoothed = [] + for ref in refvals: + ref2 = np.concatenate((ref[:ny/2][::-1], ref, ref[ny/2:][::-1])) + ref_smth = smooth_fft(ref2, delt) + refvals_smoothed.append(ref_smth[ny/2:ny/2+ny]) + refvals_smoothed = np.array(refvals_smoothed) + else: + refvals_smoothed = np.array([smooth_fft(ref, delt) for ref in refvals]) + + return refvals_smoothed + + + +def smooth_fft(data, delt, first_deriv=False, second_deriv=False): + """ + Smoothing algorithm to perform optimal filtering of the + vertical reference pixel to reduce 1/f noise (horizontal stripes), + based on the Kosarev & Pantos algorithm. This assumes that the + data to be filtered/smoothed has been sampled evenly. + + Parameters + =========== + data (ndarray) : Signal to be filtered. + delt (float) : Delta time between samples. + + first_deriv (bool) : Return the first derivative. + second_deriv (bool) : Return the second derivative (along with first). + + If first_deriv is set, then returns two results + if second_deriv is set, then returns three results. + """ + + Dat = data.flatten() + N = Dat.size + Pi2 = 2*np.pi + OMEGA = Pi2 / (N*delt) + X = np.arange(N) * delt + + ##------------------------------------------------ + ## Center and Baselinefit of the data + ##------------------------------------------------ + Dat_m = Dat - np.mean(Dat) + SLOPE = (Dat_m[-1] - Dat_m[0]) / (N-2) + Dat_b = Dat_m - Dat_m[0] - SLOPE * X / delt + + ##------------------------------------------------ + ## Compute fft- / power- spectrum + ##------------------------------------------------ + Dat_F = np.fft.rfft(Dat_b) #/ N + Dat_P = np.abs(Dat_F)**2 + + # Frequency for abscissa axis + # F = [0.0, 1.0/(N*delt), ... , 1.0/(2.0*delt)]: + #F = np.arange(N/2+1) / (N*delt) + #F = np.fft.fftfreq(Dat_F.size, delt) + + ##------------------------------------------------ + ## Noise spectrum from 'half' to 'full' + ## Mind: half means N/4, full means N/2 + ##------------------------------------------------ + i1 = int((N-1) / 4) + i2 = int((N-1) / 2) + 1 + Sigma = np.sum(Dat_P[i1:i2]) + Noise = Sigma / ((N-1)/2 - (N-1)/4) + + ##------------------------------------------------ + ## Get Filtercoeff. according to Kosarev/Pantos + ## Find the J0, start search at i=1 (i=0 is the mean) + ##------------------------------------------------ + J0 = 2 + for i in np.arange(1, int(N/4)+1): + sig0, sig1, sig2, sig3 = Dat_P[i:i+4] + if (sig00 else Dat_F[0] + + # Inverse fourier transform back in time domain + Dat_T = np.fft.irfft(Fltr_Spectrum) + #Dat_T[-1] = np.real(Dat_T[0]) + 1j*np.imag(Dat_T[-1]) + + # This ist the smoothed time series (baseline added) + if diff==0: + Smoothed_Data = np.real(Dat_T) + Dat[0] + SLOPE * X / delt + elif diff==1: + First_Diff = np.real(Dat_T) + SLOPE / delt + elif diff==2: + Secnd_Diff = np.real(Dat_T) + + if second_deriv: + return Smoothed_Data, First_Diff, Secnd_Diff + elif first_deriv: + return Smoothed_Data, First_Diff + else: + return Smoothed_Data + + +#def extract_pink(im, nchans=4, chmed=True, chflip=True, method='savgol'): +# +# ny, nx = im.shape +# chsize = nx / nchans diff --git a/pynrc/simul/__init__.py b/pynrc/simul/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/ngNRC.py b/pynrc/simul/ngNRC.py similarity index 83% rename from ngNRC.py rename to pynrc/simul/ngNRC.py index 849a17cd..87447b44 100644 --- a/ngNRC.py +++ b/pynrc/simul/ngNRC.py @@ -17,18 +17,23 @@ - """ # Necessary for Python 2.6 and later -from __future__ import division, print_function +#from __future__ import division, print_function +from __future__ import absolute_import, division, print_function, unicode_literals import numpy as np import datetime, os from astropy.io import fits +from astropy.table import Table # HxRG Noise Generator -from pynrc import nghxrg as ng -from nrc_utils import nrc_header +from . import nghxrg as ng +from pynrc.nrc_utils import nrc_header -from pynrc_core import DetectorOps -from . import conf +#import pdb +from copy import deepcopy + +from pynrc import DetectorOps +from pynrc import conf # # Set log output levels # # webbpsf and poppy have too many unnecessary warnings @@ -46,7 +51,8 @@ _log = logging.getLogger('pynrc') def SCAnoise(det=None, scaid=None, params=None, caldir=None, file_out=None, - dark=True, bias=True, out_ADU=False, verbose=False, use_fftw=False, ncores=None): + dark=True, bias=True, out_ADU=False, verbose=False, use_fftw=False, ncores=None, + **kwargs): """ Create a data cube consisting of realistic NIRCam detector noise. @@ -116,7 +122,7 @@ def SCAnoise(det=None, scaid=None, params=None, caldir=None, file_out=None, # Line and frame overheads nroh = det._line_overhead - nfoh = det._extra_lines[0] + nfoh = det._extra_lines nfoh_pix = det._frame_overhead_pix # How many total frames (incl. dropped and all) per ramp? @@ -254,7 +260,8 @@ def SCAnoise(det=None, scaid=None, params=None, caldir=None, file_out=None, return hdu def slope_to_ramp(det, im_slope=None, out_ADU=False, file_out=None, - filter=None, pupil=None, obs_time=None): + filter=None, pupil=None, obs_time=None, targ_name=None, + DMS=True, dark=True, bias=True, return_results=True): """ For a given detector operations class and slope image, create a ramp integration using Poisson noise and detector noise. @@ -283,7 +290,10 @@ def slope_to_ramp(det, im_slope=None, out_ADU=False, file_out=None, This must be a datetime object: datetime.datetime(2016, 5, 9, 11, 57, 5, 796686) This information is added to the header. - + targ_name : str + Target name (optional) + DMS : bool + Package the data in the format used by DMS? """ #import ngNRC @@ -303,6 +313,17 @@ def slope_to_ramp(det, im_slope=None, out_ADU=False, file_out=None, naxis3 = nd1 + ngroup*nf + (ngroup-1)*nd2 if im_slope is not None: + # Set reference pixels' slopes equal to 0 + w = det.ref_info + if w[0] > 0: # lower + im_slope[:w[0],:] = 0 + if w[1] > 0: # upper + im_slope[-w[1]:,:] = 0 + if w[2] > 0: # left + im_slope[:,:w[2]] = 0 + if w[3] > 0: # right + im_slope[:,-w[3]:] = 0 + # Count accumulation for a single frame frame = im_slope * t_frame # Add Poisson noise at each frame step @@ -315,10 +336,10 @@ def slope_to_ramp(det, im_slope=None, out_ADU=False, file_out=None, ramp = 0 # Create dark ramp with read noise and 1/f noise - hdu = SCAnoise(det) + hdu = SCAnoise(det=det, dark=dark, bias=bias) # Update header information - hdu.header = det.make_header(filter, pupil, obs_time) - hdu.data += ramp # Add signal ramp to dark ramp + hdu.header = det.make_header(filter, pupil, obs_time,targ_name=targ_name,DMS=DMS) + hdu.data += ramp.reshape(hdu.data.shape) # Add signal ramp to dark ramp data = hdu.data #### Add in IPC (TBI) #### @@ -326,13 +347,26 @@ def slope_to_ramp(det, im_slope=None, out_ADU=False, file_out=None, # Get rid of any drops at the beginning (nd1) if nd1>0: data = data[nd1:,:,:] + # Convert to ADU (16-bit UINT) + if out_ADU: + gain = det.gain + data /= gain + data[data < 0] = 0 + data[data >= 2**16] = 2**16 - 1 + data = data.astype('uint16') + hdu.header['UNITS'] = 'ADU' + + ## Save the first frame (so-called ZERO frame) for the zero frame extension + zeroData = deepcopy(data[0,:,:]) + # Remove drops and average grouped data if nf>1 or nd2>0: # Trailing drop frames already excluded, so need to pull off last group of avg'ed frames data_end = data[-nf:,:,:].mean(axis=0) if nf>1 else data[-1:,:,:] data_end = data_end.reshape([1,ypix,xpix]) - # Only care about first (n-1) groups + # Only care about first (n-1) groups + # Last group is handled separately data = data[:-nf,:,:] # Reshape for easy group manipulation @@ -343,23 +377,41 @@ def slope_to_ramp(det, im_slope=None, out_ADU=False, file_out=None, # Average the frames within groups # In reality, the 16-bit data is bit-shifted - data = data.reshape([-1,ypix,xpix]) if nf==1 else data.mean(axis=0) + data = data.reshape([-1,ypix,xpix]) if nf==1 else data.mean(axis=1) # Add back the last group (already averaged) data = np.append(data,data_end,axis=0) - # Convert to ADU (16-bit UINT) - if out_ADU: - gain = det.gain - data /= gain - data[data < 0] = 0 - data[data >= 2**16] = 2**16 - 1 - data = data.astype('uint16') - hdu.header['UNITS'] = 'ADU' - hdu.data = data + if file_out is not None: hdu.header['FILENAME'] = os.path.split(file_out)[1] - hdu.writeto(file_out, clobber='True') - - return hdu + + if DMS == True: + primHDU = fits.PrimaryHDU(header=hdu.header) + primHDU.name = 'PRIMARY' + sciHDU = fits.ImageHDU(data=hdu.data) + sciHDU.name = 'SCI' + sciHDU.header.comments['NAXIS1'] = 'length of first data axis (#columns)' + sciHDU.header.comments['NAXIS2'] = 'length of second data axis (#rows)' + if sciHDU.header['NAXIS'] > 2: + sciHDU.header.comments['NAXIS3'] = 'length of third data axis (#groups/integration ' + if sciHDU.header['NAXIS'] > 3: + sciHDU.header.comments['NAXIS4'] = 'length of fourth data axis (#integrations) ' + sciHDU.header['BZERO'] = (32768, 'physical value for an array value of zero') + sciHDU.header['BUNIT'] = ('DN', 'physical units of the data array values') + + zerHDU = fits.ImageHDU(data=zeroData) + zerHDU.name = 'ZEROFRAME' + zerHDU.header.comments['NAXIS1'] = 'length of first data axis (#columns)' + zerHDU.header.comments['NAXIS2'] = 'length of second data axis (#rows)' + + outHDU = fits.HDUList([primHDU,sciHDU,zerHDU]) + else: + outHDU = hdu + + if file_out is not None: + outHDU.writeto(file_out, clobber='True') + + # Only return outHDU if return_results=True + if return_results: return outHDU diff --git a/nghxrg.py b/pynrc/simul/nghxrg.py similarity index 96% rename from nghxrg.py rename to pynrc/simul/nghxrg.py index 1bc23063..d5babc9f 100644 --- a/nghxrg.py +++ b/pynrc/simul/nghxrg.py @@ -89,7 +89,8 @@ """ # Necessary for Python 2.6 and later -from __future__ import division, print_function +#from __future__ import division, print_function +from __future__ import absolute_import, division, print_function, unicode_literals __version__ = "3.0" @@ -116,7 +117,7 @@ import logging _log = logging.getLogger('nghxrg') -class HXRGNoise: +class HXRGNoise(object): """ HXRGNoise is a class for making realistic Teledyne HxRG system noise. The noise model includes correlated, uncorrelated, @@ -228,11 +229,14 @@ def __init__(self, naxis1=None, naxis2=None, naxis3=None, n_out=None, # Initialize PCA-zero file and make sure that it exists and is a file #self.bias_file = os.getenv('NGHXRG_HOME')+'/sca_images/nirspec_pca0.fits' if \ # bias_file is None else bias_file - self.bias_file = 'nirspec_pca0.fits' if bias_file is None else bias_file - if os.path.isfile(self.bias_file) is False: - print('There was an error finding bias_file!') - print(bias_file) - os.sys.exit() + #self.bias_file = 'nirspec_pca0.fits' if bias_file is None else bias_file + self.bias_file = bias_file + if bias_file is not None: + if os.path.isfile(self.bias_file) is False: + raise ValueError('There was an error finding bias_file {}'.format(bias_file)) + print('There was an error finding bias_file!') + print(bias_file) + #os.sys.exit() # print('There was an error finding bias_file! Check to be') # print('sure that the NGHXRG_HOME shell environment') @@ -246,9 +250,10 @@ def __init__(self, naxis1=None, naxis2=None, naxis3=None, n_out=None, self.dark_file = dark_file if dark_file is not None: if os.path.isfile(self.dark_file) is False: - print('There was an error finding dark_file!') - print(dark_file) - os.sys.exit() + raise ValueError('There was an error finding dark_file {}'.format(dark_file)) + #print('There was an error finding dark_file!') + #print(dark_file) + #os.sys.exit() # ====================================================================== @@ -315,7 +320,11 @@ def __init__(self, naxis1=None, naxis2=None, naxis3=None, n_out=None, # Initialize pca0. This includes scaling to the correct size, # zero offsetting, and renormalization. We use robust statistics # because pca0 is real data - hdu = fits.open(self.bias_file) + if self.bias_file is None: + h = fits.PrimaryHDU(np.zeros([det_size, det_size])) + hdu = fits.HDUList([h]) + else: + hdu = fits.open(self.bias_file) nx_pca0 = hdu[0].header['naxis1'] ny_pca0 = hdu[0].header['naxis2'] data = hdu[0].data @@ -425,17 +434,17 @@ def pink_noise(self, mode): """ # Configure depending on mode setting - if mode is 'pink': + if 'pink' in mode: nstep = 2*self.nstep nstep2 = 2*self.nstep2 f = self.f2 p_filter = self.p_filter2 - elif mode is 'acn': + elif 'acn' in mode: nstep = self.nstep nstep2 = self.nstep2 f = self.f1 p_filter = self.p_filter1 - elif mode is 'ref_inst': + elif 'ref_inst' in mode: nstep = 2*self.naxis3 nstep2 = 2*self.naxis3 f = self.f3 @@ -473,7 +482,9 @@ def pink_noise(self, mode): # Restore the mean and standard deviation result *= the_std / np.std(result) - result = result - np.mean(result) + the_mean + result -= np.mean(result) + result += the_mean + #result = result - np.mean(result) + the_mean # Done return(result) @@ -563,13 +574,12 @@ def mknoise(self, o_file=None, gain=None, self.u_pink = u_pink self.acn = None if acn == 0.0 else acn self.pca0_amp = None if pca0_amp == 0.0 else pca0_amp - - + # Change this only if you know that your detector is different from a # typical H2RG. self.reference_pixel_noise_ratio = 0.8 if \ reference_pixel_noise_ratio is None else reference_pixel_noise_ratio - + # These are used only when generating cubes. They are # completely removed when the data are calibrated to # correlated double sampling or slope images. We include @@ -584,24 +594,24 @@ def mknoise(self, o_file=None, gain=None, self.ref_f2f_corr = None if ref_f2f_corr is None else ref_f2f_corr self.ref_f2f_ucorr = None if ref_f2f_ucorr is None else ref_f2f_ucorr self.ref_inst = None if ref_inst is None else ref_inst - + # ====================================================================== # Initialize the result cube and add a bias pattern. self.message('Initializing results cube') result = np.zeros((self.naxis3, self.naxis2, self.naxis1), dtype=np.float32) - + # Inject a bias pattern. bias_pattern = self.bias_image*self.bias_amp # Add overall bias offset plus random component bias_pattern += self.bias_off_avg + self.bias_off_sig * np.random.randn() - + # Add in some kTC noise. Since this should always come out # in calibration, we do not attempt to model it in detail. if self.ktc_noise > 0: bias_pattern += self.ktc_noise * np.random.standard_normal((self.naxis2, self.naxis1)) - + # Add pedestal offset to each output channel # Check if self.ch_off is a numpy array or list if isinstance(self.ch_off, (np.ndarray,list)): @@ -642,11 +652,11 @@ def mknoise(self, o_file=None, gain=None, for ch in range(self.n_out): chan = bias_pattern[:,self.xsize*ch:self.xsize*(ch+1)] chan[:,indb] += temp[ch] - + # Add in the bias pattern for z in np.arange(self.naxis3): result[z,:,:] += bias_pattern - + # Add in random frame-to-frame bias offsets # First, correlated bias between channels if self.ref_f2f_corr is not None: diff --git a/speckle_noise.py b/pynrc/speckle_noise.py similarity index 95% rename from speckle_noise.py rename to pynrc/speckle_noise.py index 137719e2..f284bf83 100644 --- a/speckle_noise.py +++ b/pynrc/speckle_noise.py @@ -3,18 +3,19 @@ # Import the usual libraries import numpy as np -import pynrc -from pynrc import nrc_utils -from pynrc.nrc_utils import webbpsf, poppy +from . import setup_logging, read_filter +from . import nrc_utils +from .nrc_utils import webbpsf, poppy import astropy.io.fits as fits import multiprocessing as mp -pynrc.setup_logging('WARNING', verbose=False) +setup_logging('WARNING', verbose=False) from poppy import zernike from poppy.optics import MultiHexagonAperture -from poppy.utils import pad_to_size +#from poppy.utils import pad_to_size +from .maths.image_manip import pad_or_cut_to_size class OPD_extract(object): @@ -106,7 +107,8 @@ def opd_seg(self, i, opd_pupil=None): npix_max = np.max(imsub.shape) # Make x and y the same size - imsub = pad_to_size(imsub, [npix_max,npix_max]) + #imsub = pad_to_size(imsub, [npix_max,npix_max]) + imsub = pad_or_cut_to_size(imsub, [npix_max,npix_max]) # If nx was larger than ny, then center y if nx > ny: # xhift in y @@ -178,7 +180,8 @@ def _sample_mask(self, mask): """Sample an analytic pupil mask at 1024x1024""" npix = self.npix outmask, pixelscale = mask.sample(npix=npix-8, return_scale=True) - outmask = pad_to_size(outmask, [npix,npix]) + #outmask = pad_to_size(outmask, [npix,npix]) + outmask = pad_or_cut_to_size(outmask, [npix,npix]) return outmask, pixelscale @@ -192,8 +195,8 @@ def _get_seg_xy(self, i): pix_rad = np.int(np.ceil(((pmask.side+pmask.gap) / pixelscale).value)) pix_cen = pmask._hex_center(i+1) - xc = pix_cen[1] / pixelscale.value + outmask.shape[1] / 2 - yc = pix_cen[0] / pixelscale.value + outmask.shape[0] / 2 + xc = pix_cen[1] / pixelscale.value + outmask.shape[1] // 2 + yc = pix_cen[0] / pixelscale.value + outmask.shape[0] // 2 # Grab the pixel ranges x1 = np.int(xc - pix_rad) @@ -539,7 +542,7 @@ def offset_bar(filt, mask): if (mask is not None) and ('WB' in mask): # What is the effective wavelength of the filter? - #bp = pynrc.read_filter(filter) + #bp = read_filter(filter) #w0 = bp.avgwave() / 1e4 w0 = np.float(filt[1:-1])/100 @@ -560,7 +563,7 @@ def offset_bar(filt, mask): if filt[-1]=="W": xoff_asec = -3.16 * (w - 4.747) else: xoff_asec = -3.26 * (w - 4.600) - print(w,xoff_asec) + #print(w, xoff_asec) yoff_asec = 0.0 @@ -568,6 +571,7 @@ def offset_bar(filt, mask): else: r, theta = (0.0, 0.0) + #print(r, theta) return r, theta @@ -601,10 +605,10 @@ def get_contrast_old(psf0,psf1,psf2): from copy import deepcopy psf_diff = deepcopy(psf1) psf_diff[0].data = (psf1[0].data - psf2[0].data) - psf_diff[1].data = (psf1[1].data - psf2[1].data) + #psf_diff[1].data = (psf1[1].data - psf2[1].data) # Radial noise profiles of PSF difference - rr0, stds0 = webbpsf.radial_profile(psf_diff, ext=0, stddev=True) + #rr0, stds0 = webbpsf.radial_profile(psf_diff, ext=0, stddev=True) #rr1, stds1 = webbpsf.radial_profile(psf_diff, ext=1, stddev=True) ## Total planet signal at a radius of 0.5" @@ -616,6 +620,16 @@ def get_contrast_old(psf0,psf1,psf2): ## nsigma of planet signal relative to noise #contrast = np.sqrt(stds0**2 * npix) / planet_signal + data = psf_diff[0].data + header = psf_diff[0].header + pixelscale = header['PIXELSCL'] + + rho = dist_image(data, pixscale=pixelscale) + binsize = pixelscale + bins = np.arange(rho.min(), rho.max() + binsize, binsize) + rr0 = bins[:-1] + binsize // 2 + + stds0 = binned_statistic(rho, data, func=np.std, bins=bins) contrast = stds0 / np.max(psf0[0].data) return rr0, contrast @@ -630,6 +644,7 @@ def get_contrast(speckle_noise_image, planet_psf): # Radial profile of the noise image ext = 0 + data = speckle_noise_image[ext].data header = speckle_noise_image[ext].header pixelscale = header['PIXELSCL'] @@ -639,11 +654,18 @@ def get_contrast(speckle_noise_image, planet_psf): xcen = header['NAXIS1'] / 2.0 + xoff ycen = header['NAXIS2'] / 2.0 + yoff - rr0, stds0 = webbpsf.radial_profile(speckle_noise_image, ext=ext, center=(xcen,ycen)) - #rr1, stds1 = webbpsf.radial_profile(psf_diff, ext=1) + #rr0, stds0 = webbpsf.radial_profile(speckle_noise_image, ext=ext, center=(xcen,ycen)) + rho = dist_image(data, pixscale=pixelscale, center=(xcen,ycen)) + binsize = pixelscale + bins = np.arange(rho.min(), rho.max() + binsize, binsize) + rr0 = bins[:-1] + binsize // 2 + stds0 = binned_statistic(rho, data, func=np.mean, bins=bins) contrast = stds0 / np.max(planet_psf[0].data) + #rr1, stds1 = webbpsf.radial_profile(psf_diff, ext=1) + + return rr0, contrast @@ -747,7 +769,7 @@ def opd_drift_nogood(opd, drift, nterms=8, defocus_frac=0.8): y *= pix_m; x *= pix_m # Convert to polar coordinates - rho = np.sqrt(x**2 + y**2) / (diam / 2) + rho = np.sqrt(x**2 + y**2) / (diam // 2) theta = np.arctan2(y,x) # Generate Zernike maps diff --git a/pynrc/tests/__init__.py b/pynrc/tests/__init__.py new file mode 100644 index 00000000..838b4573 --- /dev/null +++ b/pynrc/tests/__init__.py @@ -0,0 +1,4 @@ +# Licensed under a 3-clause BSD style license - see LICENSE.rst +""" +This module contains package tests. +""" diff --git a/pynrc/tests/coveragerc b/pynrc/tests/coveragerc new file mode 100644 index 00000000..bec7c291 --- /dev/null +++ b/pynrc/tests/coveragerc @@ -0,0 +1,31 @@ +[run] +source = {packagename} +omit = + {packagename}/_astropy_init* + {packagename}/conftest* + {packagename}/cython_version* + {packagename}/setup_package* + {packagename}/*/setup_package* + {packagename}/*/*/setup_package* + {packagename}/tests/* + {packagename}/*/tests/* + {packagename}/*/*/tests/* + {packagename}/version* + +[report] +exclude_lines = + # Have to re-enable the standard pragma + pragma: no cover + + # Don't complain about packages we have installed + except ImportError + + # Don't complain if tests don't hit assertions + raise AssertionError + raise NotImplementedError + + # Don't complain about script hooks + def main\(.*\): + + # Ignore branches that don't pertain to this version of Python + pragma: py{ignore_python_version} \ No newline at end of file diff --git a/pynrc/tests/setup_package.py b/pynrc/tests/setup_package.py new file mode 100644 index 00000000..118325c7 --- /dev/null +++ b/pynrc/tests/setup_package.py @@ -0,0 +1,11 @@ +# import os + +# If this package has tests data in the tests/data directory, add them to +# the paths here, see commented example +paths = ['coveragerc', +# os.path.join('data', '*fits') + ] + +def get_package_data(): + return { + _ASTROPY_PACKAGE_NAME_ + '.tests': paths} diff --git a/pynrc/version.py b/pynrc/version.py new file mode 100644 index 00000000..76f05c66 --- /dev/null +++ b/pynrc/version.py @@ -0,0 +1,7 @@ +__version__ = u'0.5.0' +version = u'0.5.0' +githash = '' +release = True +debug = False +#__author__ = 'Jarron Leisenring' +#__email__ = 'jarronl@email.arizona.edu' diff --git a/setup.cfg b/setup.cfg new file mode 100644 index 00000000..79ccd58a --- /dev/null +++ b/setup.cfg @@ -0,0 +1,31 @@ +[build_sphinx] +source-dir = docs +build-dir = docs/_build +all_files = 1 + +[upload_docs] +upload-dir = docs/_build/html +show-response = 1 + +[tool:pytest] +minversion = 3.1 +testpaths = "pynrc" "docs" +norecursedirs = "docs[\/]_build" "pynrc[\/]extern" +doctest_plus = enabled +addopts = --pyargs -p no:warnings + +[ah_bootstrap] +auto_use = True + +[metadata] +package_name = pynrc +description = Python ETC and Simulator for JWST NIRCam +author = Jarron Leisenring +author_email = jarronl@email.arizona.edu +license = MIT +url = https:/github.com/jarronl/pynrc +edit_on_github = False +github_project = JarronL/pynrc +install_requires = webbpsf,astropy,pysynphot,seaborn,numpy,scipy + +[entry_points] \ No newline at end of file diff --git a/setup.py b/setup.py new file mode 100755 index 00000000..00c3b72c --- /dev/null +++ b/setup.py @@ -0,0 +1,140 @@ +#!/usr/bin/env python +# Licensed under a 3-clause BSD style license - see LICENSE.rst + +import glob +import os +import sys + +import ah_bootstrap +from setuptools import setup + +# A dirty hack to get around some early import/configurations ambiguities +if sys.version_info[0] >= 3: + import builtins +else: + import __builtin__ as builtins +builtins._ASTROPY_SETUP_ = True + +from astropy_helpers.setup_helpers import (register_commands, get_debug_option, + get_package_info) +from astropy_helpers.git_helpers import get_git_devstr +from astropy_helpers.version_helpers import generate_version_py + +# Get some values from the setup.cfg +try: + from ConfigParser import ConfigParser +except ImportError: + from configparser import ConfigParser + +conf = ConfigParser() +conf.read(['setup.cfg']) +metadata = dict(conf.items('metadata')) + +PACKAGENAME = metadata.get('package_name', 'pynrc') +DESCRIPTION = metadata.get('description', 'pynrc') +AUTHOR = metadata.get('author', 'Jarron Leisenring') +AUTHOR_EMAIL = metadata.get('jarronl@email.arizona.edu', '') +LICENSE = metadata.get('license', 'MIT') +URL = metadata.get('url', 'https://github.com/JarronL/pynrc') + +# order of priority for long_description: +# (1) set in setup.cfg, +# (2) load LONG_DESCRIPTION.rst, +# (3) load README.rst, +# (4) package docstring +readme_glob = 'README*' +_cfg_long_description = metadata.get('long_description', '') +if _cfg_long_description: + LONG_DESCRIPTION = _cfg_long_description + +elif os.path.exists('LONG_DESCRIPTION.rst'): + with open('LONG_DESCRIPTION.rst') as f: + LONG_DESCRIPTION = f.read() + +elif len(glob.glob(readme_glob)) > 0: + with open(glob.glob(readme_glob)[0]) as f: + LONG_DESCRIPTION = f.read() + +else: + # Get the long description from the package's docstring + __import__(PACKAGENAME) + package = sys.modules[PACKAGENAME] + LONG_DESCRIPTION = package.__doc__ + +# Store the package name in a built-in variable so it's easy +# to get from other parts of the setup infrastructure +builtins._ASTROPY_PACKAGE_NAME_ = PACKAGENAME + +# VERSION should be PEP440 compatible (http://www.python.org/dev/peps/pep-0440) +VERSION = metadata.get('version', '0.5.0') + +# Indicates if this version is a release version +RELEASE = 'dev' not in VERSION + +if not RELEASE: + VERSION += get_git_devstr(False) + +# Populate the dict of setup command overrides; this should be done before +# invoking any other functionality from distutils since it can potentially +# modify distutils' behavior. +cmdclassd = register_commands(PACKAGENAME, VERSION, RELEASE) + +# Freeze build information in version.py +generate_version_py(PACKAGENAME, VERSION, RELEASE, + get_debug_option(PACKAGENAME)) + +# Treat everything in scripts except README* as a script to be installed +scripts = [fname for fname in glob.glob(os.path.join('scripts', '*')) + if not os.path.basename(fname).startswith('README')] + + +# Get configuration information from all of the various subpackages. +# See the docstring for setup_helpers.update_package_files for more +# details. +package_info = get_package_info() + +# Add the project-global data +package_info['package_data'].setdefault(PACKAGENAME, []) +package_info['package_data'][PACKAGENAME].append('data/*') + +# Define entry points for command-line scripts +entry_points = {'console_scripts': []} + +if conf.has_section('entry_points'): + entry_point_list = conf.items('entry_points') + for entry_point in entry_point_list: + entry_points['console_scripts'].append('{0} = {1}'.format( + entry_point[0], entry_point[1])) + +# Include all .c files, recursively, including those generated by +# Cython, since we can not do this in MANIFEST.in with a "dynamic" +# directory name. +c_files = [] +for root, dirs, files in os.walk(PACKAGENAME): + for filename in files: + if filename.endswith('.c'): + c_files.append( + os.path.join( + os.path.relpath(root, PACKAGENAME), filename)) +package_info['package_data'][PACKAGENAME].extend(c_files) + +# Note that requires and provides should not be included in the call to +# ``setup``, since these are now deprecated. See this link for more details: +# https://groups.google.com/forum/#!topic/astropy-dev/urYO8ckB2uM + +setup(name=PACKAGENAME, + version=VERSION, + description=DESCRIPTION, + scripts=scripts, + install_requires=[s.strip() for s in metadata.get('install_requires', 'astropy').split(',')], + author=AUTHOR, + author_email=AUTHOR_EMAIL, + license=LICENSE, + url=URL, + long_description=LONG_DESCRIPTION, + cmdclass=cmdclassd, + zip_safe=False, + use_2to3=True, + entry_points=entry_points, + **package_info +) diff --git a/template b/template new file mode 160000 index 00000000..5d117640 --- /dev/null +++ b/template @@ -0,0 +1 @@ +Subproject commit 5d117640910b0332b31e32a038f7784c196ab7be

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