From 63546c4a68c18b478e234ea1f56f7c164e721dde Mon Sep 17 00:00:00 2001 From: Evan Greenberg Date: Tue, 8 Jul 2025 16:06:04 -0700 Subject: [PATCH 1/5] Replaced isotuts with documentation pages --- isofit-tutorials/Makefile | 24 + .../build/doctrees/environment.pickle | Bin 0 -> 5519424 bytes .../build/doctrees/how_to_run/about.doctree | Bin 0 -> 6661 bytes .../doctrees/how_to_run/apply_oe.doctree | Bin 0 -> 76248 bytes .../doctrees/how_to_run/functions.doctree | Bin 0 -> 15091 bytes isofit-tutorials/build/doctrees/index.doctree | Bin 0 -> 6627 bytes .../information/code_of_conduct.doctree | Bin 0 -> 13487 bytes .../doctrees/information/contribute.doctree | Bin 0 -> 7415 bytes .../information/project_support.doctree | Bin 0 -> 5459 bytes .../nbsphinx/how_to_run/apply_oe.ipynb | 764 +++++ .../nbsphinx/how_to_run/functions.ipynb | 168 ++ .../nbsphinx/how_to_run_apply_oe_12_0.png | Bin 0 -> 17477 bytes .../nbsphinx/how_to_run_apply_oe_16_0.png | Bin 0 -> 40227 bytes 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isofit-tutorials/source/sensor_examples/neon/neon_single_pixel.ipynb delete mode 100644 isotuts/NEON/data_prep.ipynb delete mode 100644 isotuts/NEON/neon.ipynb delete mode 100644 isotuts/__init__.py delete mode 100644 isotuts/utils.py diff --git a/isofit-tutorials/Makefile b/isofit-tutorials/Makefile new file mode 100644 index 0000000..668cd51 --- /dev/null +++ b/isofit-tutorials/Makefile @@ -0,0 +1,24 @@ +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = source +BUILDDIR = build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M 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zUd5DczN-sqBc;Ay!Wx;ycbocz`SJbnGM1vD`PxtMS%1reflectance. Generally a good option\n", + " if not trying to analyze the atmospheric state at fine scale resolution.\n", + " Mutually exclusive with analytical_line\n", + " analytical_line : bool, default=False\n", + " Use an analytical solution to the fixed atmospheric state to solve for each\n", + " pixel. Starts by running a full OE retrieval on each SLIC superpixel, then\n", + " interpolates the atmospheric state to each pixel, and closes with the\n", + " analytical solution.\n", + " Mutually exclusive with empirical_line\n", + " ray_temp_dir : str, default=\"/tmp/ray\"\n", + " Location of temporary directory for ray parallelization engine\n", + " emulator_base : str, default=None\n", + " Location of emulator base path. Point this at the model folder (or h5 file) of\n", + " sRTMnet to use the emulator instead of MODTRAN. An additional file with the\n", + " same basename and the extention _aux.npz must accompany\n", + " e.g. /path/to/emulator.h5 /path/to/emulator_aux.npz\n", + " segmentation_size : int, default=40\n", + " If empirical_line is enabled, sets the size of segments to construct\n", + " num_neighbors : list[int], default=[]\n", + " Forced number of neighbors for empirical line extrapolation - overides default\n", + " set from segmentation_size parameter\n", + " atm_sigma : list[int], default=[2]\n", + " A list of smoothing factors to use during the atmospheric interpolation, one\n", + " for each atmospheric parameter (or broadcast to all if only one is provided).\n", + " Only used with the analytical line.\n", + " pressure_elevation : bool, default=False\n", + " Flag to retrieve elevation\n", + " prebuilt_lut : str, default=None\n", + " Use this pre-constructed look up table for all retrievals. Must be an\n", + " ISOFIT-compatible RTE NetCDF\n", + " no_min_lut_spacing : bool, default=False\n", + " Don't allow the LUTConfig to remove a LUT dimension because of minimal spacing.\n", + " inversion_windows : list[float], default=None\n", + " Override the default inversion windows. Will supercede any sensor specific\n", + " defaults that are in place.\n", + " Must be in 2-item tuples\n", + " config_only : bool, default=False\n", + " Generates the configuration then exits before execution. If presolve is\n", + " enabled, that run will still occur.\n", + " interpolate_bad_rdn : bool, default=False\n", + " Flag to perform a per-pixel interpolation across no-data and NaN data bands.\n", + " Does not interpolate vectors that are entire no-data or NaN, only partial.\n", + " Currently only designed for wavelength interpolation on spectra.\n", + " Does NOT do any spatial interpolation\n", + " interpolate_inplace : bool, default=False\n", + " Flag to tell interpolation to work on the file in place, or generate a\n", + " new interpolated rdn file. The location of the new file will be in the\n", + " \"input\" directory within the working directory.\n", + "\n", + " References\n", + " ----------\n", + " D.R. Thompson, A. Braverman,P.G. Brodrick, A. Candela, N. Carbon, R.N. Clark,D. Connelly, R.O. Green, R.F.\n", + " Kokaly, L. Li, N. Mahowald, R.L. Miller, G.S. Okin, T.H.Painter, G.A. Swayze, M. Turmon, J. Susilouto, and\n", + " D.S. Wettergreen. Quantifying Uncertainty for Remote Spectroscopy of Surface Composition. Remote Sensing of\n", + " Environment, 2020. doi: https://doi.org/10.1016/j.rse.2020.111898.\n", + "\n", + " sRTMnet emulator:\n", + " P.G. Brodrick, D.R. Thompson, J.E. Fahlen, M.L. Eastwood, C.M. Sarture, S.R. Lundeen, W. Olson-Duvall,\n", + " N. Carmon, and R.O. Green. Generalized radiative transfer emulation for imaging spectroscopy reflectance\n", + " retrievals. Remote Sensing of Environment, 261:112476, 2021.doi: 10.1016/j.rse.2021.112476.\n", + "\n", + "Options:\n", + " -sp, --surface_path TEXT [required]\n", + " --copy_input_files\n", + " --modtran_path TEXT\n", + " --wavelength_path TEXT\n", + " --surface_category TEXT\n", + " --aerosol_climatology_path TEXT\n", + " --rdn_factors_path TEXT\n", + " --atmosphere_type TEXT\n", + " --channelized_uncertainty_path TEXT\n", + " --model_discrepancy_path TEXT\n", + " --lut_config_file TEXT\n", + " --multiple_restarts\n", + " --logging_level TEXT\n", + " --log_file TEXT\n", + " --n_cores INTEGER\n", + " --presolve\n", + " --empirical_line\n", + " --analytical_line\n", + " --ray_temp_dir TEXT\n", + " --emulator_base TEXT\n", + " --segmentation_size INTEGER\n", + " -nn, --num_neighbors INTEGER\n", + " -as, --atm_sigma FLOAT\n", + " --pressure_elevation\n", + " --prebuilt_lut TEXT\n", + " --no_min_lut_spacing\n", + " --inversion_windows FLOAT...\n", + " --config_only\n", + " --interpolate_bad_rdn\n", + " --interpolate_inplace\n", + " --debug-args Prints the arguments list without executing\n", + " the command\n", + " --profile TEXT\n", + " --help Show this message and exit.\n", + " ```" + ] + }, + { + "cell_type": "markdown", + "id": "f1b4490f", + "metadata": {}, + "source": [ + "The Apply OE function can leverage a large number of input parameters, but most are optional. The important inputs are the non-optional arguments: \n", + "\n", + "`INPUT_RADIANCE` `INPUT_LOC` `INPUT_OBS` `WORKING_DIRECTORY` `SENSOR` and `--surface_path`.\n", + "\n", + "which must be entered in the specified order. Descriptions of each are found in the docstring printed above. It is important to note that the `INPUT_RADIANCE`, `INPUT_LOC`, and `INPUT_OBS` are ENVI raster data formats that must be at the same row-column dimensions. The `--surface_path` points Isofit torwards the constructed prior distribution file for surface reflectance. Optional arguments are denoted by the '--' in their name, e.g. `--modtran_path`, `--pressure_elevation`. It is important to note that the default radiative transfer engine (RTE) is currently set to Modtran. You must specify an `--emulator_path` without a Modtran installation." + ] + }, + { + "cell_type": "markdown", + "id": "8b199b77", + "metadata": {}, + "source": [ + "#### How do you run Apply OE?" + ] + }, + { + "cell_type": "markdown", + "id": "f6028b6c", + "metadata": {}, + "source": [ + "The script is run via the CLI. For example:" + ] + }, + { + "cell_type": "markdown", + "id": "b9867343", + "metadata": {}, + "source": [ + "```\n", + "isofit apply_oe \\\n", + " ~/.isofit/imagecube/small/ang20170323t202244_rdn_7000-7010 \\\n", + " ~/.isofit/imagecube/small/ang20170323t202244_loc_7000-7010 \\\n", + " ~/.isofit/imagecube/small/ang20170323t202244_obs_7000-7010 \\\n", + " ~/.isofit/examples/image_cube/small \\\n", + " ang \\\n", + " --surface_path ~/.isofit/imagecube/small/data/surface.mat \\\n", + " --emulator_base ~/.isofit/srtmnet/sRTMnet_v120.h5 \\\n", + " --n_cores 10 \\\n", + " --presolve \\\n", + " ```" + ] + }, + { + "cell_type": "markdown", + "id": "31d41c48", + "metadata": {}, + "source": [ + "Here, \n", + "\n", + "```\n", + "~/.isofit/imagecube/small/ang20170323t202244_rdn_7000-7010\n", + "~/.isofit/imagecube/small/ang20170323t202244_loc_7000-7010\n", + "~/.isofit/imagecube/small/ang20170323t202244_obs_7000-7010\n", + "```\n", + "\n", + "are the radiance, location, and observational geometry files respectively. The `\\` tells the CLI call to expect a multi-line input. The remaining two requried parameters are `ang`, the sensor designation (AVIRIS-NG), and the `--surface_path` pointing to the surface prior file at `~/.isofit/imagecube/small/data/surface.mat`.\n", + "\n", + "The remaining arguments set Apply OE to run with:\n", + "1) `--emulator_base` points isofit to the location of the sRTMnet emulator to usse as the radiative transfer engine (RTE)\n", + "2) `--n_cores = 10` CPU cores\n", + "3) The `--presolve` algorithm to narrow down the water vapor retrievals" + ] + }, + { + "cell_type": "markdown", + "id": "ac5b2463", + "metadata": {}, + "source": [ + "We can examine both the inputs and outputs of Apply OE with this run call:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "b18118d1", + "metadata": {}, + "outputs": [], + "source": [ + "# Common imports\n", + "import os\n", + "from pathlib import Path\n", + "\n", + "from spectral import envi\n", + "from matplotlib import pyplot as plt\n", + "import numpy as np\n", + "\n", + "from isofit.core.common import envi_header" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "5b8a685f", + "metadata": {}, + "outputs": [], + "source": [ + "# Load the input files\n", + "rdn_path = Path('~/.isofit/imagecube/small/ang20170323t202244_rdn_7000-7010')\n", + "loc_path = Path('~/.isofit/imagecube/small/ang20170323t202244_loc_7000-7010')\n", + "obs_path = Path('~/.isofit/imagecube/small/ang20170323t202244_obs_7000-7010')\n", + "\n", + "rdn = envi.open(envi_header(str(rdn_path.expanduser())))\n", + "loc = envi.open(envi_header(str(loc_path.expanduser())))\n", + "obs = envi.open(envi_header(str(obs_path.expanduser())))\n", + "\n", + "rdn_im = rdn.open_memmap(interleave='bip')\n", + "loc_im = loc.open_memmap(interleave='bip')\n", + "obs_im = obs.open_memmap(interleave='bip')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "0f7ec5b9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Band names in the location file:\n", + "Longitude (WGS-84)\n", + "Latitude (WGS-84)\n", + "Elevation (m)\n", + "\n", + "Band names in the observational geometry file:\n", + "Path length (m)\n", + "To-sensor azimuth (0 to 360 degrees cw from N)\n", + "To-sensor zenith (0 to 90 degrees from zenith)\n", + "To-sun azimuth (0 to 360 degrees cw from N)\n", + "To-sun zenith (0 to 90 degrees from zenith)\n", + "Solar phase\n", + "Slope\n", + "Aspect\n", + "Cosine(i)\n", + "UTC Time\n", + "Earth-sun distance (AU)\n" + ] + } + ], + "source": [ + "# Print the bands of the input files\n", + "print('Band names in the location file:')\n", + "[print(f\"{i}\") for i in loc.metadata['band names']]\n", + "\n", + "print()\n", + "print('Band names in the observational geometry file:')\n", + "temp = [print(f\"{i}\") for i in obs.metadata['band names']]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "4ce97d24", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the input data\n", + "normalize = lambda x, vmin, vmax: (x - vmin) / (vmax - vmin)\n", + "bands = [55, 35, 15]\n", + "\n", + "fig, axs = plt.subplots(1, 3, sharex=True, sharey=True, figsize=(13, 4))\n", + "plot = axs[0].imshow(normalize(rdn_im[..., bands], 0, 15))\n", + "plot = axs[1].imshow(loc_im[..., 0])\n", + "plot = axs[2].imshow(obs_im[..., 4])\n", + "\n", + "title = axs[0].set_title('Radiance (RGB)')\n", + "title = axs[1].set_title('Longitude (WGS-84)')\n", + "title = axs[2].set_title('Solar zenith angle (Deg)')" + ] + }, + { + "cell_type": "markdown", + "id": "e12b5307", + "metadata": {}, + "source": [ + "The input image doesn't look like much because this is just a 10x10 pixel example. However we see per-pixel spectral variation in the radiance RGBs, and systematic variation in the location and geometric variables." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "65ce0e9f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Shape of the _rfl file: (10, 10, 425)\n", + "Shape of the _state file: (10, 10, 427)\n", + "Shape of the _uncert file: (10, 10, 427)\n" + ] + } + ], + "source": [ + "# Load the output files\n", + "rfl_path = Path('~/.isofit/imagecube/small/output/ang20170323t202244_rfl')\n", + "state_path = Path('~/.isofit/imagecube/small/output/ang20170323t202244_state')\n", + "uncert_path = Path('~/.isofit/imagecube/small/output/ang20170323t202244_uncert')\n", + "\n", + "rfl = envi.open(envi_header(str(rfl_path.expanduser())))\n", + "state = envi.open(envi_header(str(state_path.expanduser())))\n", + "uncert = envi.open(envi_header(str(uncert_path.expanduser())))\n", + "\n", + "rfl_im = rfl.open_memmap(interleave='bip')\n", + "state_im = state.open_memmap(interleave='bip')\n", + "uncert_im = uncert.open_memmap(interleave='bip')\n", + "\n", + "print(f'Shape of the _rfl file: {rfl_im.shape}')\n", + "print(f'Shape of the _state file: {state_im.shape}')\n", + "print(f'Shape of the _uncert file: {uncert_im.shape}')" + ] + }, + { + "cell_type": "markdown", + "id": "7054b0ee", + "metadata": {}, + "source": [ + "The difference between the `_rfl` file and the `_state` file is that the `_rfl` file only contains the solutions for surface reflectance variables. Here, the AVIRIS-NG image contains 425 wavelength bands. As a result, the `_rfl` contains 425 bands. The `_state` and `_uncert` files contain the surface reflectance solutions and uncertainty calculated as the standard deviation of the posterior distributions for the 425 wavelength bands and for non-reflectance statevector elements; here, aerosol optical depth (AOD) and water vapor (H2O). " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "a518609c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the output data\n", + "normalize = lambda x, vmin, vmax: (x - vmin) / (vmax - vmin)\n", + "bands = [55, 35, 15]\n", + "\n", + "fig, axs = plt.subplots(2, 2, sharex=True, sharey=True, figsize=(8, 8))\n", + "axs = np.ravel(axs)\n", + "plot = axs[0].imshow(normalize(rfl_im[..., bands], 0, 0.3))\n", + "uncert = axs[1].imshow(uncert_im[..., 55])\n", + "aod = axs[2].imshow(state_im[..., -2])\n", + "h2o = axs[3].imshow(state_im[..., -1])\n", + "\n", + "plt.colorbar(uncert)\n", + "plt.colorbar(aod)\n", + "plt.colorbar(h2o)\n", + "\n", + "title = axs[0].set_title('Reflectance')\n", + "title = axs[1].set_title('Uncertainty (at 650 nm)')\n", + "title = axs[2].set_title('AOD')\n", + "title = axs[3].set_title('H2O')" + ] + }, + { + "cell_type": "markdown", + "id": "f16ead05", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "id": "697e2986", + "metadata": {}, + "source": [ + "#### The Analytical Line" + ] + }, + { + "cell_type": "markdown", + "id": "58752472", + "metadata": {}, + "source": [ + "In the example above, we ran Isofit using the full optimal estimation (OE) on each pixel independently. Computationally, this amounts to iterating through each row-column pair to solve for the full state-vector (427 variables in the above case). However for large images, this demands long run-times, and ignores the principle that some state-vector elements, namely the atmospheric variables like AOD and H2O, should not vary from one pixel to another, but rather should be spatially smooth, and only vary over multi-pixel length scales [Link to the relevent paper](https://www.sciencedirect.com/science/article/pii/S0034425723004534/).\n", + "\n", + "The analytical line and empirical line algorithms leverage the assumption of a spatially smooth atmosphere to decrease run times by a factor of 10. Currently, we suggest using the analytical line algorithm and not the empirical line algorithm." + ] + }, + { + "cell_type": "markdown", + "id": "ad1b9d10", + "metadata": {}, + "source": [ + "See the following CLI call to run Apply OE with the analytical line algorithm:\n", + "\n", + "```\n", + "isofit apply_oe \\\n", + " ~/.isofit/imagecube/medium/ang20170323t202244_rdn_7k-8k \\\n", + " ~/.isofit/imagecube/medium/ang20170323t202244_loc_7k-8k \\\n", + " ~/.isofit/imagecube/medium/ang20170323t202244_obs_7k-8k \\\n", + " ~/.isofit/imagecube/medium \\\n", + " ang \\\n", + " --surface_path ~/.isofit/imagecube/small/data/surface.mat \\\n", + " --emulator_base ~/.isofit/srtmnet/sRTMnet_v120.h5 \\\n", + " --n_cores 10 \\\n", + " --presolve \\\n", + " --log_file ~/.isofit/imagecube/medium/log.txt \\\n", + " --analytical_line \\\n", + " --segmentation_size 50\n", + "```\n", + "\n", + "Most of the input parameters are identical to the per-pixel application above. However, we've added a `--log_file`, the `--analytical_line` flag, and a `--segmentation_size`. The `--log_file` points the program to write a text file to print logging statements during run time. The `--analytical_line` flag tells Isofit to use the analytical line algorithm. \n", + "\n", + "A simple overview for the anylitical line algorithm:\n", + "\n", + "1) All three input files are \"segmented\" into superpixel blocks using the SLIC algorithm. The `--segmentation_size` value sets the number of pixels that each superpixel contains.\n", + "\n", + "2) At the superpixel resolution, Isofit solves for the OE solutions, which provides both surface and atmospheric state variables. \n", + "\n", + "3) Atmospheric state variables are spatially interpolated to full image resolution. The spatial interpolation uses the Apply OE parameters `--num_neighbors` and `--atm_sigma`.\n", + "\n", + "4) With a fixed atmosphere, we leverage a closed form solution for surface state elements that allows for a solution convergence in a single iteration.\n", + "\n", + "We can visualize what the segmentation is doing by leveraging the `isofit reconstruct_subs` CLI command. \n", + "\n", + "Visualizing the input data:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "5ce57697", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.1097916..1.0983623].\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting the input data\n", + "rdn_path = Path('~/.isofit/imagecube/medium/ang20170323t202244_rdn_7k-8k')\n", + "loc_path = Path('~/.isofit/imagecube/medium/ang20170323t202244_loc_7k-8k')\n", + "obs_path = Path('~/.isofit/imagecube/medium/ang20170323t202244_obs_7k-8k')\n", + "\n", + "subs_rdn_path = Path('~/.isofit/imagecube/medium/input/ang20170323t202244_subs_recon_rdn')\n", + "subs_loc_path = Path('~/.isofit/imagecube/medium/input/ang20170323t202244_subs_recon_loc')\n", + "subs_obs_path = Path('~/.isofit/imagecube/medium/input/ang20170323t202244_subs_recon_obs')\n", + "\n", + "rdn = envi.open(envi_header(str(rdn_path.expanduser())))\n", + "loc = envi.open(envi_header(str(loc_path.expanduser())))\n", + "obs = envi.open(envi_header(str(obs_path.expanduser())))\n", + "\n", + "subs_rdn = envi.open(envi_header(str(subs_rdn_path.expanduser())))\n", + "subs_loc = envi.open(envi_header(str(subs_loc_path.expanduser())))\n", + "subs_obs = envi.open(envi_header(str(subs_obs_path.expanduser())))\n", + "\n", + "rdn_im = rdn.open_memmap(interleave='bip')\n", + "loc_im = loc.open_memmap(interleave='bip')\n", + "obs_im = obs.open_memmap(interleave='bip')\n", + "\n", + "subs_rdn_im = subs_rdn.open_memmap(interleave='bip')\n", + "subs_loc_im = subs_loc.open_memmap(interleave='bip')\n", + "subs_obs_im = subs_obs.open_memmap(interleave='bip')\n", + "\n", + "fig, axs = plt.subplots(2, 3, sharex=True, sharey=True, figsize=(5, 10))\n", + "axs = np.ravel(axs)\n", + "\n", + "axs[0].imshow(normalize(rdn_im[0:400, :, bands], 0, 15))\n", + "axs[1].imshow(loc[0:400, :, 0])\n", + "axs[2].imshow(obs[0:400, :, 4])\n", + "\n", + "axs[3].imshow(normalize(subs_rdn_im[0:400, :, bands], 0, 15))\n", + "axs[4].imshow(subs_loc[0:400, :, 0])\n", + "axs[5].imshow(subs_obs[0:400, :, 4])\n", + "\n", + "axs[0].set_title('Radiance')\n", + "axs[1].set_title('Longitude')\n", + "axs[2].set_title('Elevation')\n", + "\n", + "axs[0].set_ylabel('Full resolution')\n", + "axs[3].set_ylabel('Superpixel resolution')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7788d2ce", + "metadata": {}, + "source": [ + "We can examine the results from Apply OE after the OE solutions on the superpixels:" + ] + }, + { + "cell_type": "markdown", + "id": "55c48502", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "abf4b8ee", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.1097916..1.0983623].\n", + "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.12389879..1.5404001].\n" + ] + }, + { + "data": { + "image/png": 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FzjvvvPy6yDnlfOELX+DgwYO8853v5OlPf/qS5Zdeein/7b/9N973vvfxmc98ho985CP8yq/8CldeeSVvfOMbeeQjH8mRI0d4//vfzxe+8AXe9KY38dKXvnTJOPfccw+33XYbzjmOHz/Ot7/9bd73vvcxNzfHhz/84b6KODk5DyWOHj3Kddddx6FDh3jf+97H0aNHuzloAGeffXbXS3HBBRes+RrJOYM5fbnfp5/lmrY0m03ZtWuXXHTRRZKmqfzpn/6pnHvuuVIoFOSSSy6R//k//2e3ekwvMzMz8mu/9msyPj4u5XJZnvnMZ8rdd9+9qmpOd955pzzzmc+UkZER2bBhg7z4xS+WvXv3Ltm2s99jx44NPJ/eMa218q53vUsuvfRSiaJIxsbG5JprrpF//Md/7Nv2s5/9rFx33XUyOjoqhUJBzjnnHLnhhhvkS1/60ol/sDkPGicyh2+//XZ5yUteIlu2bJEwDGXbtm3yjGc8o1u9RmT11Zw6fO1rX5Prr79eJiYmJAxD2bFjh1x//fVLKtfceeed8uIXv1g2btwoURTJrl275NWvfrW0Wq3uOu9+97vlvPPOE2OMAPKBD3ygu21+XeScKl74whdKFEXLVht72cteJkEQyOHDh0VE5I477pBXvepVcvbZZ0sYhjIxMSHPec5z5J/+6Z+WbNup5tR5BUEgGzdulGuuuUb+r//r/5IHHnjglJ1bTs4wTqRp3eI5vPg1qCHviVwjOWc+SiQvI5GTk5OTk5OTk5OTc+LkORM5OTk5OTk5OTk5OWsiVyZycnJycnJycnJyctZErkzk5OTk5OTk5OTk5KyJ06pM/Pf//t8577zzKBaLPOEJT+Ab3/jG6TycnJycnJycnJycnJwT4LQpE5/4xCf4z//5P/OWt7yFH/zgBzzlKU/huc99Lnv37j1dh5STk5OTk5NzhnGihsl2u81b3vIWzjnnHAqFAhdccAHvf//7H6Sjzcl5+HHaqjldddVVPP7xj+9rHHXJJZfwwhe+kHe84x2n45BycnJycnJyziA+8YlP8MpXvpL//t//O9deey3vfe97+Zu/+RvuvPNOdu3aNXCbF7zgBRw5coSbb76ZCy+8kKNHj5KmKU960pMe5KPPyXl4cFqUiTiOKZfLfPKTn+RFL3pR9/03vOEN/PCHP+RrX/vasts75zh48CAjIyN9XalzHnqICPPz85x11llonaforIV8vp855PN9ZfL5fGawmrncarWI43hd9xtFEcVicdXrn6hh8l/+5V942ctexv3338/ExMS6HPNy5PP9zGGlOf9QmO8PVU5LB+zJyUmstWzdurXv/a1bt3L48OEl67fbbdrtdvfvAwcO8KhHPeqUH2fO+rFv375uh8yc5cnn+5lPPt8XyOfzmc2wudxqtTjvnCqHj9p13d+2bdvYvXv3qgSsOI75/ve/z5vf/Oa+95/1rGfxrW99a+A2n//857niiiv4sz/7Mz7ykY9QqVR4/vOfz9ve9jZKpdJJH38+3898Bs35h8J8fyhzWpSJDou1dBEZqLm/4x3v4K1vfeuS9294+f+fsBChRHwbxszHIggoSHEci1scabRQChyCFnAiaAVOQCuFc4LRCkHQqO5YSoFTYJTCOgiUIhUhUAqLoLVCxC8HUNk/rcCgMFr789FQCAKsc4yXCjzunK1MVEvo0NBMAG3QSlGONMVAQxQiUYHJY7MUFIwVNXFiSeKYVmoJgoBSFGAKhiR2jEUBqXMcr7VIUseGaoHRomGy3uLwXIsAYeZ4nfpcTJI6nAjiLCjwH5XKPjd/zkZrtPLfj/9UADRGZ9+PUjTbKWnqEMk+bwSt/DlrrVAKtFbE7YSP/u27GRkZWZ9J83PAsPn+yhc9gygcfsnGylEzS290YWgGrm9E0Ms4JkvL7EtEWM6nqRQ8evuW4St01mPpfWAxo8WI5dYQgdS6FffVmpnFxsmKBzRaHS5Q2DjFLbOvZpzw2+/953y+9zBsPj+ZXyAgPA1H9PDgwGsvpnXe8vNMASpZ5urRggxZ7Fot9r/15qFzOY5jDh+17Pn+uYyOrI8Xbm7ecc4THmBycpLR0dHu+4VCgUKhsGT9EzVMAtx///1885vfpFgs8pnPfIbJyUle97rXMTU1tS55E8Pm+44/eQt6GYExnFOU9y/9MrZ87McD15+/cifJ2eNDxzPx8Bu0sqDc8OWiYPriwc+NE0WtIHuLBolWDpApHQHTWmElETZ+7PYhBwLxxTuwO4Z7o9Kkxfe+9PaBc/5Uzvc4jnNlYi1s2rQJY8ySi/3o0aNLbgoAN954I2984xu7f8/NzbFz505MFGGCEDIFQQScOKzzD3urFQQRQehAKbQSlAhKwChweEXAKxcKUN2MdKUUgfHKQMForChKgSYFikYjCqqFCGsdRmkK2q8XW6HWjkEUW0fKjFaKEGrKxYh2s810PcZEEZVqmWY7xYnrCnRaG0Qbmi2Hi2MSCwQGVSgzUhQOT80SowijEkGksNYRpwpbCInKIeWgRK3RZq7VppUIbWcojIwxHkLcVoht0WyliDicc4B0FYkOWim0VmjllyitEHEgBq2dVzCUQjAkQaZMOMkUCoXJttXG/975RHP37uoZNt+jMCCKlhG+lCM0Sz/naI3KRBQO39dqlIlSMRq+Qmc9Vp4b5XVSJlQhxK40DRWUC8PPO1VqWWWiO0w+37sMm88BIYHKlYm1YgoFdGl5AUQBasA9ocsyykR3jBXmcnVEUR1Zn/nusit9586dfe//0R/9ETfddNPQ7VZrmAQfdqSU4u/+7u8YGxsD4C/+4i+44YYbeM973nPS3olh810Xi8t+XzpWmGjpMQdq8H00CAq4aPh4ZpkbtNYrKxOmuE7KRLr8ctHgCisrEyYCs9KtV2TZe4ozESpcWWhfbs6fivn+cOC0KBNRFPGEJzyBW265pS9n4pZbbuEFL3jBkvWHWSWO15qITrDOkVhH6gQrDuuEwGiKJYMLMo9B5iFQojAKQm3QWhFqg1FQMJpCYND4G5HRmnIhpFoqEIUhzWZCMdQUigUCZ0mUMF4p0Ww7UmtJ44R2OyVOEtIYbGqpmYQgNMQpTNZatFsxM/WYmWZM6iBQ0IyFQqhpxgnHphVRaEjxQn1kFKEuMV9rsLFSQNKUohIiSbGpIrWOVjtlyloqlSJWwKUJLrUcn4/RgSFWjraLSZ2jVAyxTkhTL+yJdyv46Zz9p5Xft9IKveC6yMg8MJnXwYhGnOB0xyvkPTUOAeeVNx5GF8uDxbD5npNzJpLP55wTZd++fUs8E4M4UcMkwPbt29mxY0dXkQCfYyEi7N+/n4suuuikjj2f7zk/j5y2MKc3vvGNvPKVr+SKK67gmmuu4a//+q/Zu3cvr33ta1c9xr7pGjqIslAcL8iiBAVUAk0UBlgjlIHIGIqBpmg0QRiweWKUCAVRRNJoQdKmEGhqrYQ4tRQCQ4KiFVviWNAOYuuYbzUInFAoBdxfmyPUhsRZao0W7XZKai02tYgI0w1hKmmRBoI4KAD1dsJco8XUbIMw0ohApDTOCk4gCDVhqAmMoRwFBFGdjcWIqShkz+Q042HAWLmIDgOiUDNfj2kA9WaMjgIESKxQLpcZ2VDlsqc8ln/62L9SLRUoj0eEtRatZpt2nII4xNEbH+Z/dHQA8eFKiMJlYV/glxmtvYcDwJEFOmULs9+ddIfMyXnooxTVci4E5Dw88CFOp34/Vhx2nW70VrzpeXR0tE+ZGMaJGiYBrr32Wj75yU9Sq9WoVqsA/OxnP0Nrnec5ncGo1DH+T3ed8v2civn+cOC0KRMvfelLOX78OH/8x3/MoUOHuPTSS/nnf/5nzjnnnFWPkVhHGPgwiJFiRKAVQaAphprRSoGRSkTqLIkTDJpGHDM936JSLrBxdBTjhLlm7GP6HMzWY2qthEApxMJMK8Yo7b0X2lvp29aCE4KWop4KgTGAYNMUJRAZjQoMqfO5CQ7BWYtNoGwMI5Fhup7SaLSh7QONNOCsl9a1yXIutCYINVob5goh49Ui03MNKEXMtWIERRQY2rFXXApR4MNKtKGVWFIgPTbLA7WYvYdn2T5WIa3CfDtBiRADQaAx2hAoCDSEJkABjVaKOK9oOGdBDCpTJhRZKJTxeSFkuRUi0lUcFAqMItAKHkYXS84pYB3CgaabLX50cJJrzz3rpMfy13lOzsOElWKY1gGHf86t11gnykqGyRtvvJEDBw7w4Q9/GIBXvOIVvO1tb+NXf/VXeetb38rk5CS/+7u/y6/92q+tSwJ2zokRHa5T/e5BJm+48OQGEsHMrJRUcfKc7vn+UOW0JmC/7nWv43Wve92at9+4ocqm8VF2bhmlWCgSFQtoZ3FJm0ArdKBpNGPI4vpT60hSy8x8g2NHp0kTSy1OEGtxzpI6h4hDBwZxECIESiiGPncg0JogEVpxSpqk3iIvDqMUpcAQGUMQGJ/oYy2pFSyCRROGhooxiBIqocUmPhzLZQng7dQRW0cqQmwdYNGpQmtNGifU2wmNOKadpjgHOkv8Th24LKyrVAwJAkNsHY04JXHCgck5VBJTKwQEgSJ1Fmst7SRFW4VTFo0Qak2loCgVQlQpomA0RmnSVotSucjMdAONBTRR6PMifCJ3Fi6FVyq01j5vwvick2SlhNecVXPRjk0UCwvxs/snZ6m3fJm6QmQYL0ZsUH4OHWw0u+uNDulNGYtlcW6cc0K9maCApk6YGC2v6zn8cO8Raq1OaT3F9vEqF23dsObxjtWbfG/fESbrTb6++wBGqaFKhQrDbrk/SS2SrhDMm5PzEGbiC/uxVf8Ir186wfwVm07zEZ0eVjJMHjp0qK8ZbrVa5ZZbbuH1r389V1xxBRs3buQlL3kJN9988yk9Tl1N0KWFPATXNGCz+5ES0lGhfh7oRFHav3DPnr9msIE13bj03qysUJjzBjzlIK6ub3nq6j6LaS8IwPGoprll7fuIDswz9pU9RIfqbP74zxCjmXzxYKXCFhSS7Uongs5Fi4cUp1WZOFme8Ojz2LRhDGm3SUQRlkpEWrBNjU0SbCq0ExBrSVNLM7EIQjOOmZydRzmhWAgolgKsM4hzKHEoEZwIUahxQILzuQGifYiP0YAQadBKY4BiYDBa40SwIiRWiNNMYcBRKga0xdFOUsQC4rrJ3UEIlcjgBFJx1OOURmzxRyu0ncO2YsRZUmt9DogACBaFdYJKoeFiTGCyhFQLVoFNMRqcWKxNqbdjlBOcOBBFYv25xkqTiFC3KaI0BWPQaLCOUiGgBYwVCxTLRYraEegsUUIWKjkFgSYKDGGgCQJNGGiSOBfY1ouJ0XJfUrPSiqn5Gu0kJQwUhSzR2vaErTXimOIQ66RRmpY4mqklTrxaIU6Ik853ptC1FuPV1VeZsE44OFv3Hq7YP9R6bzJ7js/RShbmxGzTl1Bci0JxeL7Ojw5Ncmiu7seenkMpRWT853Dl2Vu7KTtpnIBWKLKHuS9b1jfeamy42mhf8MHlHrec00v5nrnu7+GxNsU9833LJdBMPffc5QeRbkTrmnFk4a7rwFpHWs4w+cEPfnDJexdffDG33HLLmva1VnRo0VGP+UYJrm0Qq/3vAcSRVwhEgRKoPKCJd44vO66JBdNaUCA6vwOEDUjKJyDsCwRNBwrG7vPPEdeTwF+ccn1CfNDw+1qLQlHYM8vItw5QfMDP48qPj/tk7Czxe+p553VvyqbpFQmX5VaLVrhF0qtertBA53gPzSDFCLd55RC6YTwU5vtDkTNamThr0zjjo1VmpyzHJudJ51pUCgFavNUxdZZ6O0FSX8FIYRkrB2itKIUBoTaMVwpEWhOnzuc8pCnWWVJxhAraTmgnltiCykrKkpVDTUS8w0ugkVgvxDufCJ5a/3LirQ7ioC2WWhZW1QkXCo0hNN6aH2rtoz6coJxgFFQj7+1IUn8cnfK1qpMbnYUZOTIFwQmB0pQChYMsCVpoxzHzIjTjxHtRtEYZCI1G8F6GxKY0bEJgDCYKiXRIKsJcvU0jtWwMI8aqEUXtQ5rmGzHTtRatOEUrCANNGBhU9nsxDFB5mNMpY2KkhEhKrdXv2jVKsalQQETQyfC6fCGaRmppthKSdNB6Qq3ZxmjFSDni4EwDlykqHX1lpBgSGs1s03sbrBOOzXuvyNHsZ7RMKNNMo8VdByfRWnHB5vFVnjkcmq/zk0PH2T9T6z9iEe4+NgVAMTQoFBduGPFeiJ7qJkpr1OKmRMqf83Joo2lYoT4kaLa1XsG0OTknQHF/neL+et97rmBWoUwoirvnKO6eW7LIJm32DtgkZ33QoUOsZnHfYDHQ3uxQDkbuXV5IN7EQ1hymPfg5a1oOUZCWNGHDde+ByhdzRAIvpOtkwQDVGaty0L/lIj30rhg0hcphh2hobVq9QlHYM8vIbQcp3TfT975yMHqbT6a3IyEoRf3y7WhrMgNqdpjGv3pZzZ1XT9Uw4xVk4+Byx8tVuMpZnjNamXDtFu2aIjSKVrtNrd4mLgSE2ocfCYIVH8ZjlBAGwkgUUjABgQkR0QRoktR5ZSJ1WOsFZSsQWy/AN9uWVuK8sI4g4lO+U/HKghPBOW/h7/So8JWSfM8KrYXQ+BCjuVqcpRFIVkBpoaeD0ZpA+5KskuVfRGXF1mqR+XbKoTTOkprFKxG95e+yfYoF0YIDUtfpAOFIZpsEuo0xmkrVUDIapVU3NCtxjnqS0kitL5VrFNVSiFERKMXESIkwUEgao6IAbTTTjTZ3H5hmcq4JInjZLOvXoRRRoAkeRjGBD0eS1A5RJBaYrbdopJa9U/PYRTfbDeUChdAwXW8P2XplZpttfrzv6MD4UdGK8oDStvum5zk0W1/yfi8/PHgMgB2liKJZxYNOIEERquFztpE6plPH/JCPrL2+/YxyctaOdYx87yjzVwzv91LcM8/4Vw9SuWN6ybJUVhdHYjNv/HqwXuP8vGBawxWJDkHTLw/nLWrR52sjjejle1KseAxNobrfogcYUtTB415AX7SodNfxJYrEYjbcsg+A+PwtuMoqytRqReNRGynfeXzoKm6sjFRLQ3tfrNQTA/L5PowzWpkIbczMTJtWKiiXUgwgVBZxjiRN0dpXcQqMJk4tymkQ5RUHldJOHUorX4HJuawJm/f7tq1lrp3QiFPacUqaKQC9VgTpsbgq6amxusgQK8onixtAsrCirC0DCofrhGLgaKvsfYHYaHRNs7FaRAle2XEOpTToLNSiozCIIB0hSOjmMojyoStKUjSKchiyrVwkQhNonxdRUL5ZXkFpqqEwF6fUWwkozdaxMptGy4g1tNpN5poxDigXC7RTR62VMFtvYa3rnldmu0YpsHlc+sOC+47OIQOE/elGG5P1ZDkZ5tox37r/wJL3bTjYqxFpTUEbXwRgHWkD5XD4ucy3LfNJ7m3LeeijU2HzJ+9j/srNQ9epfv/YQEXiRMgTUh/6FGYHP4dN7LwccxK3USUQNoTxny3dR/Bv9z5oJR0l0Mw841wKk8OVYLdjI25i7SFOkM/3YZzRykSrlXBwrkmSpFRCTblgcEpop4IFUuvncZw6as2UwICzkDpLmvpEZ6V80mnqvGci6bwHNNPUW2LFl55VSrqdsRcXfVmIOZUlAagKP36YbSRZvoPqrLp4PmUCeWodc62Y3ZM1wsDQSFKvzGiXlW3NchayQXoToSU7JqWypkTil5eMoaAN1oGkjhQhTbxXQRtNNQgYHY043mozPd+i3o6xWthSGaFSKZIIpFrRSCxRoBkph9SaoU9Ktw7n/H5c59Byt+FpwYkwXW8z14oZG9I8rp4pjakVgmXiTX1BgLV/j51rZuhyRTexbrXEzqFQlPTyFqtq6DvPi9ErPy8Vfk5Xhzc9CtsWTn3BkJyck0YUtHdWl7+28uJlD00EgtoKX46wIIws85xdxtG6ymORrkyxZGx8aJA6ReGdyZYKLA5HHYaAiaH1xAuGrqJjh869x6eEM1qZOHB8nmIxpISmFqfE1ucnOPGVm1InJGnCbCOm1vSN25wV39EZ8E3WZKGsaSbEh8YnE6NkobtzR+jPPAfS+bPrZPAKR2/cdbe7tIB1jjgLj+pkvPlgJNXXv6G7AQpRgnWOmUabkVLkBXUEJaon/lu6YVOdbDrVsTQ46Y7pE1M1WyoFX4nJLShGqIXu4eB7dJw3UWX7qOOnk7Pcd2SK+ZGUreMVKlVfh985oVKNOHfbGCOliJn5FvVWQjvxlaKSrJoVNvdMrCf1dtJ3U28mKanLEuLxOQvNOKVtLf961z4U8JQLtlIKg+70aiYpTuDOQ9McmWswXimwebSIGaJQHKqdnPScIAzrYb0WRaK7bWYhGqQmlAKvZFw+MUazGRMqXxBgucezQrFtNO/InPPwQCLD/jdcesr34/BVC9drrIczqq367DK67ftjdeL/lQMdg04VG37k31xyf8y216ngQkVaVARN+nLCetEn6UnVieAGdOYGfH7nKVAk0jFf9GPqxZchgV6QvZZBCVQPnnqvcT7fB3NGKxPlSFMoBByaa/su2E6YaybMtWJasfcqKMBaR5wlL3ct5d0Lb7FrQJFaUNphjCbpncWqY2HNlILMY9FZ2J3rHe3A6wo+x0J8QvRCX4YeRUItKBSd8Rf+994FKx3Pg8/PyHwR4Ht2Lxy+sOBNESBL9jaBZmOpwEghRLHQF0Jl/4n2Dg9rhWbbf1aVYsi5YxVmWjHNZpuDYomikEIYEAWGWpoixYDNxVEmJiq02ik28eV34yRlvt7m+HSNe9b07eYsJk4t//azvSS237SyY6zM1pESToTj9RZf/dnB7jIBvn7fEa67aFt3Pn1791Fq7QVX8Ey9jXXC9g0l9CKX23oULeoq3ic/VB+xcziBign6xg615qpN/dWh5hotxipFwgHhWJ1rT5+0CS8n5/QiRnWr4bjCKuLMcx48UkXpRyVU2n8nbG21tDc5FBDMK8bv6P/elOtXKEwsfd4GW9CIFsK6PXUhRZnhsV9SWgevxwBcKWTy1Y/ve0/ZTOEa9BCRRT9zTgtntDIx3U6ZKIRE2rB3rsXxrLKQFZ/7oABjlA8v6iQoZwJ5JxQp653Nwiz1/gLnIDDeg+hzETJPBV6VWLaeXu+kzoT21DqiYCE+SnXim3oViUWejc74gdYk1leNQvd4QTo76+6vN2eiE/Lk/ysozdZykUCZLHm7s8/sGEV1T8eJI04EZ4VAK7aWCjinSHG04oTZZot2YkmcIzSGKPBJ3OVCkcAYXx7XWSaaCWeNF7ltdV9nzgr8rx/dQxguvWQPzDa48/A0k/PNAVt5vnLPYdLUDrVezTdjrHPs3FTte3/PdB0dnJwa4CJoIpRS1V+R4yS8Eh1ScdRswogJfTNFpbh2y8TAdQedeaiEEZWVVVzF/nRmUHgY5c3lnMGIUX2PoeZFYxz+jYtPbHudVfdZI3kM+eoof6+MGmDhLx4xlPdrgmUcwN5jIUPvUS5UJFVDuKgyRFo26MSdlNAvClTqkED3hasqu35eCQEwCgkNR//TlatYuXMMvqIUrFKxWQeLVj7fB3NGKxOh0Rw43uDwbJ3p+bYXuDt20EyIt853tQ1DTTt2PfJ2Nz7JCwbeRN+1+Htvgq9KZKHrwOh6DkT6JnVHzVC9Y4uPiRKV5TgECpUJT9JxU9A/hurEUamFxVorEgQdqO6xdZSEbswVshDeJB3lSaG1V6Z2jJQph4EXhugJhcJ34FaZkNS1NkjHKi3YxIEYjIGt5QKb8L0vkm6TPSGOfXk4U9AUQkNYitDlEpO51HXG0Gin/OzQLFGh/7bgUlmzQpH2pGs0g4W5EIrCrNPUUEA5MDxxkTdiMXP1FtvLISPR2jWY8ydKBFqz90HotJqTsxJHXnEh9cdtXPP2ky86F1cJmPiX/WseI69u89DABYr2eLCkMlM8FhLNJmtSKHoVVZUuaJy9Ns/1wE6UmHzl5cuuo2zmlTmJnAcX+kgOna794PP5PpgzWpk4PFvn8EybVuKbuXn5XhZkbAGyLz4KDXFqcZnFvi8ptCdXoeOjcFkScWAU1vYoIR3BHTIvR0+YlPKCfnf8jgcjG9sphQm1T052XmKXnvwHlXkpFvwkCqV81aU2/hhUx5SrFEp3lI/sJJSgvCslq+AEgdFsLBTYWi5ilKYbWpVVn/I6VFeFyZKnVVZCTnyoliarGiXMNWICozBKEWmDNgodaZQGpTUORWId9VZMikatkCCb89BBG00YDf6+llMorPOhd9Giykvp4LxvAJLMyxecTLesjLEoXFGRWA0C1KcbVDasb9fvnJzTRbfIR87DHuV6+kUswisU6ZLSsOC9Gi5U3RKyHZabN5nYsC4KRbxjlKkbTj63RxQ0NmvKx/Jqe6eDM1qZODrVwGmNNsrHFdJRFCSL/vF/Wys47Ttat7Jwof4LQboCdUeMl6wLdkFpnzjdk2LR02CYTtJzV2/oyX1QvQFJynsltNYoAZdmCRWd/AUn3TCnjpdAo3yYVqTBCkp0nwKkVGf7rLJTtlA6TfG0ZiQKOWe0QmhMv9dD8AqAqK6XojfMyjmfIG6VoJzKklydPxtRWBQ68413Pk+lNNpoSsWQjaMlrAjT5KUTHi641PcfWYiwUz3XgtCKvSIfhRq7jCKxWsY3LQj10/OtriEgJyfnoYPLXus1Vs6pIR4LiObSbmO2tGh8YnV2P0+qBgTCul0fBVQgvc7nPpj//WNUe3V9Sx7q5PN9MGe0MjHbaBEUCkSBJu2Y9Bdr3pkXILWOQmCIjcOmNsup6Nr/+zZRmfVekTVi60Q1Sa8c1Z9S2ulEvdBDbkHryFIdsgRsL8krrbKeFj7MqBN/1BXsM+E+VJoUUNrHm3eOWDKhf+F0O2eRKUZaUTKGc6plykGA7sme6nhu/JiqR/HpqlKZ1yWroqCzKlIuyylXHc9Mz2cMKOUwOgvFckIxNJw10R+Dn3N66HqeTnIcZ8X3ORnysBGBOHGYVYQSbagW2Fgu0minHJ1p9B3s2ES/d2C8Wuz+XmvGxFln710jZZ6+Ywsiwnz91D+sbOLYFgVs3Tx4Xjda8Sk/hpyc9UInirlrz2b+mh1LltlWC97+udNwVDmLcSHohJO+gccjQb93ovc+nj0kkoohaKzCCOjwiokCWVIrv38H9poFz4O+6wH0kWkAGhdPcPyXHgEKwtoJn84JE/1kH8GeyaHL9SobNeYs5YxWJqx1GCeEWpHqrNxpz/IFT4F0rZpGK2wmPGdifdeD0VEGOkmWZFb4joeh98LrCt89IUJK+fwGwecbuEUXlMs0EpVdeLrrWYBOqkdX0FfeG1A0hgQHCrTS3gOBzsK5OgqAyjwrnTwOn3B9drnMeKGAUarH65FZIlz/fWThk1vwXnTzzhd5cUQ6n9yCJ6OrZDnxfT3aKaqdsufYzAl8oznLcWimgQkGhyFZ54bJ911MoLGdxowZUaC7FY5E8aD5kbaOlNhQjFBKUSkGnLNlBPDK6lyaLulL0ft3tRQhJeGccplHj43460jBWDVCgLna2gV6AeozTSrjpSXLbOxLS3eu9UEsfqbm5JxuhoU66URlVXIUMqAstNjV5RZZ1q9U5nqN81CkuUXQxcHnF82DHt64GQHSkiJoytLcB1nyy3BUbxj18HVWHKajSGS77U3EXqJYQF+vCHfxOcgjdlLfapi7IPSlX4Fk1I8Vzq+8/+VobtSUji+1+Rd+8ADm4DRqmRKFSlb2FeTzfTBntDIBXngVJ4Rak6reBOuunJv1UOg0jtOkdBKZoXNldhQCrVS/h0Gy93oStjsCv+n8ku1EUL4ZXKcsa8ePoLwSk8UueY8AC4naHVm9u1+1cCxGaWJls5CmBQVp4Rh1Vy3qnGukDZsLBbaUi4Ra9+RD9NwnVrhh9ApMKtMsRGUKkvhz75xHt0leZxsnWOtoxylzzVzTXy+sk6HNidwqErkUimJo+ity0C8YGxHsch3mVoEI2IbDlIcLI7qj2GZH0SlJq1hQtoehFFxUrXJBtULYfUh1PGwwWomYqy9VKLaXQ6rLdLfukDiYHZBgXQgMZrUNlHJyTjFH/o8LaVyyYcX1hoasrJMcY8W/1mushyti6PaTWLJMrfx1dBvcDllRlMIFgj7Z1k7KV4Fa3jtxEl+UMcyfE1HbYXA9eXbS8YyMDFYoTCyrqjo2dn97YJUp00iWVSRWSz7fB3NGKxOdUpAiEGiVVV5aUA4E+oT11AlFvTREwwvoqivcdOPAs1KyHTFHKcmqMSmyarMLkVXCQs+GnnE7ArYxekER6RH+O54ErXuEq+yYA7zA7rtvK+/V6ByLUT0CmfbKjHUYpZkII7ZXihSMQXcUF1k4z96d+Ou3+0tX8dFaEWh/zlorIhOS4LAoCoH24VHZMM45rOt0vfChUTZ1KDTbN46t+fvNWX8WvG5LWY0KsVAFbAWWuWdvrZYYiQY3h1MoRkzA/ArNDiOtiYYI9lorRsp+/PmGV2YDpZlrC7XYPyCroWKksGh7ITM0MLBz+8Povp/zMGDDLQcY+/phAOav2MTctduWrJMnXz+8WPHrXCkrWlZ3+15uJe+VWG65DPZO9OAC+hSJvkPUkGZRpEEdL2NE9DXOM20wrf7zVAIjD7TR8ZCDy2/gp5Qz2swWBBqtvVVWKy9E9F1LnTtpJkCJ88qAMVlVo26wU0e8X+gK3cmBELXwd8ct0BHO/UuWTFJFx7uhulbWQGdjZYJ695/yf2ul+o5Io4i0Js1CiDqKk1baC/pGYwKDMd5aatBEGDaEIdsrJaph6N/P9tf5qbuJ4Flyd6gpFTTVUkC1FFAuGqJII0poJJajtTYHZ1s4BWPliIlKkWIU0kosc42EmXrMbD1mrpEw30iYa8TM1GKm59vUGjFxI48hP9MwQjZ3Bry6hQrWxtZqkbFiuKyF/yTbWgD+GjdGUy2FhNqgUSROaFv/mouFow3LTCt78Aik5M+bnDOH6EiT4t4axb01xr9+iG3v/ykT/7Kvu/zBUiTcOr9y1o4oL6jbSA19yUl4nvvCm04hzvhXWgZX8B4dFyy8bBGSEUVa9ueiLVT3xUsqUp2SY1vn14ny9a9/nV/8xV/krLPOQinFZz/72WXX/+Y3v8m1117Lxo0bKZVKXHzxxbzrXe9ast4//MM/8KhHPYpCocCjHvUoPvOZz5zQcZ3RngmTeSVi63yYRK8LsGuJp6swCD5KZHGX34VwJC9se8HbKwBGK9KOi6PzY1GYSO8+Fpt9O2FAWoMyPcpON0xowUvRO0YoioI2xECkNIj2ln/lcycCZSiYTLnAEEWKooJqEDAaRkSBRiuNCTqKiPcWoHyIl7WWNAv9ihOI2wntxBFb31VYKf/5aq0ohIbUwnwjxWiHCTTNVko7tt08kM7Zds5PlN9vkuRhTg8GXe/SSd7nFV7hXVZjWE1orlI8/9Jzl7y/b3qeVvLgVfgKAk3SFmTRQSdOSBzEGqw4lIKRFToGJ6lFBeShTjkPOcLJNuFkm8K+GmYuwZUNk794zrLbSCC+G3MuwZ92bMFb44N1SEJ2ZoX79yqsJqLg+GOW3g833G0JGgM2OEW4gIHH6gxgvHIjSmESIawt/1yRbRNgLWqufkqO9cGiXq/z2Mc+ll/91V/ll3/5l1dcv1Kp8Fu/9Vs85jGPoVKp8M1vfpPXvOY1VCoV/tN/+k8A3Hrrrbz0pS/lbW97Gy960Yv4zGc+w0te8hK++c1vctVVV63quM5oZcJ3qvaCQtKNuV6cLN0J4fGSlhPf1TnBXzDdRT2KhNGKwKhu6JTgumN3R+0dH+jTMjKhrhNWFGi1IKBlgveCFyULNMoUEq0UodZUTMBoGJDiw4icAxGHUaC0phAYipGhWChQjUIqgSbS3tUUmYAo9CFOWvvt2rFl3loaiaXWSmjGKW3rSG0nd8QfQ6i172itfQJ4oBWBKOZqMamzFMKAaiUkSR1pp8wuvb09fDhWJx/F2fxJdarxOrRPiO9aIwfkUIRGYdRK+RVqxSziTmWyYaOEWvP0R+3g8WdvXrJsvFTg7iNTzLdOXMl87KYNlLME9IpanUCfxssdqQ99nI8FoxUjheXHss7fP/LOKTkPVYK5hNFvHyUdi1ZWJvTCM/BkcPhS4evBymUkHn4o55PgkyqIEbCDKxtp54VobVleGVjhI3RBlnw/5DkgGubPUdR2Lh1IORi71xLWTtxqVTtbd0OV4tHV3b9XalAn2nspVjNtZKyKmpqDk1QmTvd8f+5zn8tzn/vcVa9/+eWXc/nll3f/Pvfcc/n0pz/NN77xja4y8e53v5tnPvOZ3HjjjQDceOONfO1rX+Pd7343H/vYx1a1nzNamUitQzKhwjrpCuhKOkFL9Mv6+CpLPhdgIbyp29dB+3yBIHt1xutcc93qql0NhJ6LWnW9FNKrHGSWfddNVgaldDd0KVAGo70AVgoDqoWQahRQCQKKRiPiS2E22xbfNluILRTDgGopYnykyqZKRCXUIBbrHIExKKCdWBpJyky9zXQtZq4e00gs863UV8IyisgYiqGhEBgKgaZgDJExgJAmgk0dLZfSFOfzJ5QiTY1X4gaU4e3mgnTDwnJONSKdud7JY5EepcL/CLQi6lRscatL2B7GY3duolr0jST2TdXYfXyuu6wQGK48fwtPu/isgduev3GUAzO1ZZUJpRSPHdCE7sotE1RCnwsxVW8y02iveKxJ4gbpVTk5OevEMnUh1jTWzxudHAQXQDzie2ap7Mbd8VQoR7fylkNWViiWoblFIVn/qGgeormFgZxR1M+C+V2DH97z52jKh9zyyoTyisPSbQNsZrBRVq2qk/VqEq4fbM70+f6DH/yAb33rW9x8883d92699VZ++7d/u2+9Zz/72bz73e9e9bhntDJhnfgu0J3eDZll32U9IPoqMEEm5woqS8LW9OdHGOUtt938At1fpUhYWLcbUdJTGpbev7ueDk0xCmgHEGrfUdsYQ0FpJioFKlFIoCAymtFSyES5QKUQYJQiscJsPSG2jtSBcwrEESjFaLlItRIxVo4YLUVEWogT72motxJqzZjJ+TbH622O19rU25ZQKyKjCY1itBBSKQSUwoBQe+XDWkhTR62d4JwD8fkVXjHys95o5ZsAditWDU7o7ShTJ1kYKKeHTt5ML65bV7gHtZALJOIwGgo9iQha+9AGXzxg6bYr8fSLd3DuplEAbt93nO/vOZrtCwqR5jmP2bXs9psqRWZbbeptn2Q9Vow4d8NI3yE8ZsP4smNEgVeA2+nwJ1KrnRKnrlv6dj1IUoddpgTHgxnClZNzsoiRode8nNHSwUOQAQY2NcBxKhra417gUFYIGpk3orM8UyiU80nHfduv4nlb3y4k2e22dAzKhxc2cgHMnb/8IO0JRTSvCBp+x7ag/PH2HMPMI1aYPJ0mu8vpJNn59RmFTxI3UgIZH7rcuhgOrc++ToS5ubm+vwuFAoXCCq7yE+Tss8/m2LFjpGnKTTfdxG/8xm90lx0+fJitW7f2rb9161YOHz686vHP6NuFd9N1hKYexYDOHFX0FWVWik7fad3rKcALySYT/rVRmMB3m7ZpNlKmJGjtcwl6e0jonvGV9mMERhMFAZViQKUcIKGmGGRegDBgrBBywZZRImOYb7ZIE4tWXtgvBIYoNDRjy5H5OlP1xO/PCQVj2LahzDlbR4hFKBmFWMtMI2am1mS23ma+kTDbTJhrJ74SAsJIwbB1pEBkgixUw39uNhVaLsW6LGSsmxqS1dN3CyWiVZYHYcUtFUKzrRZf9blVeP0IsrnVS2yXr1SttKY44Crv5A358LnMj+cTZZY9hp0TIxTChQEfu3Mjj925EQArQj1dOXzpkm0TlMKAY/NNAM6fGOUXLl4IyRARbn/gyLJjVAsR9XbCsVqT0eLSdttxYpmabYNApRh6RUyfXPK4c0IzTkiXCd1rPky6vOY8+EgxREKDnl9alviUoMCFAnrwHcStMpnCrmPYx3qN81BE1NKkeO1AuSHnrKC1UTE6t/T78b1BvLLRVSpYOek+rdJXnra52b/8xsscSw8zj/ADlA/5nbY3KGYu6n/IrORREA2m6TBt8Z23F6GEbonbBUMwJ6dUaIU9exMSbBm6Spq0VlQmTsV837lzZ9/7f/RHf8RNN920Lvvo8I1vfINarcZtt93Gm9/8Zi688EJe/vKXd5crtVh2kyXvLccZrUyILJSjctKxhEtf9VPplW+zn528CJBMSZCusGGMIjS+YpLPx1DdBGaFEBmNUZp6YgGFNhqdeTPCwFAshFRL3lswUS1x1oYyYUEzPlpiYylCBz4nAevHOjrT5OhszEythTgoRwFbN5TYOBpiEYwxbBotkzooBortYyV2bqkiynfbrTVijsy2OT7bYL7RIk4tqfXC4WghoBj6kCWlNVtHS8zWU5JESJz11auctw64rAyu9HxQKruKOwVpO0t7SzV3o716PUCZNtfphJ1z6ugYu9b6KXeUitAYilEIWuNEmG0uDSHaPFLmVddewkRlsMWkE7q3mhCqZ1ywg83lpY3hToS9U/P8eP9xHr9rU89BKMpBwOTUgkBWz0KqyoWQKBjipZCsj8cytGMfHpiTcypId0zgto4T/nhvz7tyypQL0T0P0JzTQqda5Fpv4B2lAqSvOaEeYNOwJZh5hHRDjU6GuXMD5neuvN5yVA4llA8mTD265zmgIK2YgcevWCTPLUJW6CHkQr1iydrTxb59+xgdHe3+vd5eCYDzzjsPgMsuu4wjR45w0003dZWJbdu2LfFCHD16dIm3YjnOaGVC95Sp7PaE6Lgnus0fFjwW+CghjFKERpEVN8Kgu2VTRXwog2RuxUAbIq2y5iIK0LStt+JqrSlEAZViyHi1wMbRIrs2j7Jz4wjVYkQpDCkUQkQJUWhQ4qvLWCu41GKdpRVbqlFINKJ8+FKlwKYNJaqlAuKETSMVAu0rOIUBhEaTOminCVNzlvsOzjNXa6HFUTCKYhBgBVqpY76dcrTWphWnoDRpCpEy3hKd9YVwTrpa/0JRpu4vZCpa97fOu71en26KRI9ZpBNCY3PXxCklNAYspKvo3LkcuzaN8YxH+/CkRpzyye/ek/2+cFd//X94DNXi4P4Q4K/HsgmppcuXA+4UNhiKgjDQJOnwc4pTSzt1HJqt808/XkioM0rx5F2D8zUa7QQIvDLfvzsQYX5Ao7teluvRkZNzMkigITDYrePYreMLC1JL+R+/d2JjaYUdGX6drje5Z2LtuABA0MnJnXdaUrQm/BjaQuVgVjSmJzxq6tGCW25aKB/2puwKx7IOj3SdgEqE0tGUHUcXOtSJUex/5thyh7hEoeiIK83NSz3UvQQNe/IN/Tg18310dLRPmTjViAjt9oLB8JprruGWW27py5v44he/yJOe9KRVj3lGKxN0E6kXBGK6D3zVlXc7eQ7gXbeJE0KjkawkpMo8GLZHAXF0wno0scMrHkDs/DaB0YxWSzxixwYeuX2MLaMlCmFItVKgUo4Qp9BodKARLWitMVnIkWAJjebITJ0j0y2SRJhtWKLAsGE8pFQsEEYhWsAEkuVa+Dpo7XZKHFtaScr8fJOidlAw1GPH8UbCTCOmFlvi1OKcZOcAYWBoxAkm1N0L0tEb1tTLAFNJj/mkk0OxyOGzUH4zGxtA1qHjZM6ppVPFrEM5CnjVtZfgBN7/jTuydVYWpBW+CpoRvawF/4INo4wvY3lRKB69cws/3D04XtM6x9d/doBvD1m+HI126nM7wgWFQiEUVa705pweRCuSS84mvXD7SY7jrbPxtjL733DpOh3dyjhRuHVqarFe4/xcsSh8yhmY36lRAtV9rrvOeqFjtaowpmHrKAsb7mwxds/KBTQGbk9mwJQsDDsWqgcfvPv36Z7vtVqNe++9t/v37t27+eEPf8jExAS7du3ixhtv5MCBA3z4wx8G4D3veQ+7du3i4osvBnzfif/7//6/ef3rX98d4w1veANPfepTeec738kLXvACPve5z/GlL32Jb37zm6s+rjNamVgQgnw5WCe+xKMxKrO4+2lntOoqC0ogTh2VyJAo31OhY5bvfK+SJad2tvNlU7McgiycaeeWUa679GzO2zZOuRCSJA6UJooCtNZZ+JQmCA0Oh9IaSXx/3UBr0iThO3cd4559M4CP8b7wrDEKQUAYBpSKIZL6q8VkngkRRztJmKu1uO/ILPcdnOHYbItaK83CmyyCQyQrj5spUi7LdfDFoHzYkmSKk/QEIi44JmRBeVAdpUwg64a9mP78Ce8V6uSm5KbcB4GTiXMCLt25iasuXGrN1wp+46mPBuCCLaPLexOA6kiRx19+IUlq+dev3w4MSPBeB/7pR7v58YHja96+GaeICAUNLo79iZbW362c8/BGeqMqpD8970RILj+ftDdUby3HomD+CZs4+isX+jdyG86Zw0neIpMKtMcGPJcVzO/yk7S1za6uiaHGV3pKh8USnbxesvn7Tap7T66ZrRIoHreM7k6RQBGPntGi7Anxve99j+uuu6779xvf+EYAXvWqV/HBD36QQ4cOsXfvQqikc44bb7yR3bt3EwQBF1xwAX/6p3/Ka17zmu46T3rSk/j4xz/Of/kv/4U/+IM/4IILLuATn/jEqntMwBmuTJgs4VnEl390ztfSR3VyKLzwq1F4b58Pg7LO/3SisK63dGR/mI7O4qOMBhGfkF0oBFy6axNPu3QH2zaOEAa+TGqxYAgDgza6W7vb4EOSMD4vIbVCYLyAVW8lHJ9t4ZyQpBatNeMTo4xuGAElGKWxyvnO2eIQ5WgnKbV6m2/99Ah3HZim1mhjrXRDvERcpkRktZeUoFEo8Z9H0In+Up07Qk+TObKEG7JO3f4T8NuzEMqUWn+u3tPjFm6Eme9RxCt1dL1BucX3VFMJA8Jlmh804pPvQn7f0TnO3zza58HoZWLDCJdddi7gvWDPe8bjEeB/ffn73XW2FiOMUsw3WoRKUYmWd0ufSlyadhNMrRNqjTbV8vIKhZOFCnA5OXvfcjnJhJ8zWz5xP6O3HV3bQOswn2aecRbHf7GnilqnGcxyu7X+/iwnmTeRhzmdHEFrfZrVLUfxsKG11fk8mWF05oECCbMohJ7wq5EHVPfveIOQVE7V0a5M+bClut/HLKlUKMyktMeXF2fTssG0HCY+OZnkdM/3pz/96csa6T74wQ/2/f3617++zwsxjBtuuIEbbrjhhI+nw5mtTBiT5TJoFA5nBWskS6LOKjyxkAvQ7RKshLYTSlFArZXQE6DTDZHSSqGMQrSiFAS0ra8Kc8VFW3jKo85mvFIgikKfdyDiFZusWYUgJGlmnTfek6GBwPkG6i1raca+6VsxMmgNxUJIqRiB0lib0Gwn3ruCMDlTJ9IGm8Z8/c5D/GTvFI1WjHOWbqi8+OZ9C1kMdMONtFI450hdp/le52T9S7J1e5UGpRbKuvZ+jnFiGatGvjN42mN5FrxXxEGnz0bfvnJOG+Uo4hXXXszQWkYn+SVt27qBRzzy7IHDPu8/PIEf3HbHkkT8qXoT64TR4lIB3jrHe79yB72K6BXnbCQyho9956fcf2x26LFYEb6+5yBPPWdw3gRAUTnCRUquE2G+0WKkXBy6XU4OwH1//kSf49DD0ZeeTzoaMvHFAyc0Vvvai7FbhseIExgaL3wi5c9+Z+gqx150DrNPGxAitQqFIuehT2uDIi2fwh1kcsAgJBTG7tJLykRF0wplhXhAmL9yMP7T/vfmLvD5Idu/Uad0ZHjigrLC2f86w/5njw9dZ2RfSunoohLcTihMp7Q3nNEi7RnNGf3Jl4ohzdjhRHzsWSYNV6MArRT1doK1QpIJvIHWGIS2QDtxlMsRYeC6iZ5K+TAmrTQm0BSLIZtGS5y9oYoOAx6zayM7NlaZGCn7MmMoxAlBoMEJifXuEW2U72XhfLUco4UksaSpQxvfdVcUlIoGYxRp3SEK2u0WrWaTsGRIrEMjzM632HNohp0byvx433Hu3DtFoxl7xSDzBnSUgM4L+iNfnBNSfA38kagne6mjZPVpF52EVDJFI8tHEUHrzIuiFMZoIKvck706WRRdh4QSTkGUS04PBaMIVtWSWZ200nD1Ex/JT+7YQ7On0tPOnZs579ytQ4debpezzRbWOTb0VHVqp5YPfOMuFnu0vr93CoCZxsl7WdaD1ArxgB4XrXgdMvxyzkimnn02diRk8z888ODueB0sNipV6Lh/INVancvCorHrVBbq561LSzQLQePBMbmJkcW31WUViZUI5xXKCe3xhfe0hbF7lq47er//GTTWtq8lnKxcoZboR37YVUzjfL4P5oxWJi44a5yf7p8jTlPCrKRrFChKoSEyGo3QaFuUEgLlvRX12HWThxuJpVgIUdp670JgKBdDNoyW2Ll5hAvPGmf7eIVyGBJFEZVigHUOleVGCIrUOm/1t444saAVBRP4EpTOW+itE8T50GxrHeKE+XqbwzN1WrGl2UooFkIazTZiLYUwohQapufq/PD+SUYDODTT4N93T9Joxz40KzsH1VsProdOdaaOXO/EUY9TJipC0HP38Ms7CslCUnUnXEplGeqSKRSpFVpxSiHQxJ0GdpkHpaPaSCfMqRNulbMuvOyqR1Iq9IcGfX/3YR44PjN0G4XihqsfcdKhOa+4/kpKxZDHP+78he+007vhJAavxzFOhI2VMvOtmE98+x7fMHERq829UEqxpVLl3un5vvd3jVWItB7olVjYB8w32owsE+4Upw6bFxXIGYRWzF29BVcK2Pq39668/mqwjtIX/n3o4iMvP5/aE5bJt1jBO6Fihe70Flh8Wazy5i3rmJAqD+ME7Oc89fsUqv3llO667XwO3rd5yBae9fBKNM+yS0Kc1Ml+1gJB3ceUtyfAxDDyAIPnjSz6OWxIrZi/oMrInv5JWz9L40IYfSClODVsQq8i3EmtTmFY9hjz+T6QM1qZeOz5Wzk2l9BsxSBCYh1t65hupkyUQ8bLBaxro6wlUpqGdaSAMhqttM9TGC1RDAMq5Ygt4yXOmqiyebTCWLVItRz5MpKiCI0htZbAGFSWYG2M6TavE6zPxQDECVY5nFUo0QRZ4rIKjG9Sg6FSDDBGZRZ/nzBtncMoiIyinaTcf3iOdpyACbnjwCxzjdh33+1ekJJNxv4rVHqXZ+qBE6HWTkmsIwh13yYdRaLjjlBZ0rUvl9t5Fkm3hOZcPWbjWJF2oolTn9PhOrFSLFT+6TgtctaHgvFdn3t5wnnbiALNz45MDd1uaG+FVfLS5z6BUjFEKUWwOjfIqhGBZpJy9+Hj3Hbv0YHW/l4u2bGZnx2a5Nj8UhOXVopNlUrW66J/2b65Bgo4pxoxvkyCiYhQa7ap9iRkF4IF711TIG81kTMMCTS1x0zgfv0RbH/fz1ZcP/revcSPOw971sSSZaqdUPzKT1DLdFWXyCwJuVrCYoXCO5U9Azow55wawtASLuqFcMkTdxOGKXvuPrlKXsvR2m69V2IRosQrFCfz/QsETUVwQAgb9JWiHUR9Z4nywRbR7NJGEmIUtXMriF5aLapyyEdvhLUsAXTIsSBCNJsSjy2Its2NqtuorzSpiJJ8wp8KzmhlYtuGKhdsG+OBIzPMNGLirIqQOKGeOMJAM1IKOVpz1FIf6hMEhpFKxMaxMjs3jrBtQ4XxSoHRapFiGFCMAkqFiCAwKI3vOOwE63zPCVGum4Tasch3ymAa7ZvYKaV8rwqnKEcBifOeE/DCk9GaSjGiXIywTlEsCGFgqJRCiqEhSVKOzNSptRIu2THG/sl50tR6L4BIn5LfCUlaCHHqCWPq8TOApp1aanFCMQzoy6OV/jwHrUBp+vIeOt2vlYIkE/ii0GB0SgJZArj3lIjSPka+Gy+Vc6ooBMb3mjiFVMuFk/I+rISIDxlqrKJ79L1HJjk2XxvYhdoo31ByEJ2GdKvxcDgnfQpEN9cqJ2cVSKixI6srLnD8ubtoXTw+sOGWqSvO+ud1CuvrGb7XGLoe0/p0J6SeyYSFlCA6tcEuboAisa6ID29Sq4jwLB1oEE3HKDtAuQk0bohirGw33XVFlBWamxaiIiRQC5U612F65fN9MGe0MjFWKTA+UkZNzmUGFpUVifVN22qxoxQajDHEzlGMAnZtHuXC7aNcdPZGRkoFgqwjdSEMvTVeKe99yAL/JWvq5pwjigyp8+Viff6DwrmF7tuh0WijvbKhfN6E0r6akq+yqggCL2iPVYo88ZHbSK2v2BQGmo0jRYqRZnKuyaGpBrs2ekXn9n1TGBGCQJGk3VQJOu3kvFNA+kKWoEetyLp8O1HU4pQNFcka/kl3fa28y63Tk6PTn6KDyrqAd0rDttopUWSIQkMrtgvds7NwKEG6FbZyTi3nbxnnnM2jVEtra1R13rYNXLxriKu9ELKiyNEtJXzqabaTrjK75DBW8aQ51EhQKMaj5RUwrQYrEMVM6IuXaaiXk7Na0o0FkiFhGeJWvqY23HIAMYr6Y5Z6NvrGGpZgmzVNG1oKNOeUs+PCo7QqcN/U4HtwsG/5KnO2LKTVIfejXtviwMVZo98HyeZn2hY15N6pVmHoSUuaQEDHy99/bTj4pNvjvv9GNJffv9ebM1qZKIQhF27fwJGZOo3Y4lyMFZ0JzkIzsQhQKoSEIZy/Y4zHnbOFjWNFNo9XiMIQlCLQA7KQOiVOgaDbPtvnCISqkyOgcVmYUpKKt35qyYRzTWiMT9A2Gg1oB5JVfSooxSW7JrzPQPnqsRqYrcccm2thlGbXphGswMRIkbnZFpuqRQ4mtmtdVT0Jzv5+oFA9/TI6HoWFU/KhTrG1REHQVUS6CknXodEfOuXLYSq0Fl8mV0GznVKMDIXIELS0jyPvhHz1pHGcij4DOf1sGSszUgqJBlg3wXe0nq43h25fLUXs2DSk+6bRazNf9mxz7kVns+feA7gB3oSRsQqbtoxROl6Dny7fhO6ew8eptU/OUtu0QuwcMFyZGKsMtyp3Qv9yfn7Z8tH7OPay83EDFNLSPbOMfvsYpr6yl23q2buIt51cQHzhYINgZoXmX8sJk+rk7QBWNPZkA9G7Y63LMGcUU1LkWFjEjg0QcAXk7JjwQDRU4JdAsKXlQn+W2fnSKGn/dk8X7OZWoXQU37BqEbYoJFUw7ZWTq8sH6pjmyXlhnFkIWRqIUtR2DF/BRmr5LuCrIJ/vgzmjlQlQ7NhY5bHnbqYZp+y387SSpCtgp05op8JYJeCiLWNcct5GLtgyThQZwiDAaN9Uzii1EDYhPqHYOkFUZsHXxjd/E4fCh0GIEpR1SNYoL1XeY+EEdLYcvAUzCvHhTzh8Vxi/bKxc8F23ZSHXwuiUUiFgZDRktFqkmTgu2DrG3HxMaGC+lfjciUz673gjfGlXQZTqerQ7RolOarQA7cQy24ypjBiM1ojzioIPN1yY2d0EbrXglegNe0pSSzNOiQJNuejzSXwoiaJzZFrhhdGcU0oU6KGKBPiO1hedf+5QmWLTSGnIEk4sQWDIDiY2jZGmloN7jmBTy6Yt4xTLXmAvlYuMjpUJywWe/ITz+eb37x86/OR8nXZyctWStlZCNpYjCoHGOiHtsZIpBVFgKK7gtQiNxjpI8uSJn0tGfnAcVwmYeu5ObDlg9LajREe8sh4dbFD+2eyqxmlePL7qcKhhzD9hE+1zRlE2M+Asvg0Mrs/Rv4oGjPQJkCeCQ+HWqbqN+zkMi51tl5huDWnaoMCNW5L28PueW06KG6Is9NKNT+iV83tubcmIL/daOO7nSFqVrkBuI7BFcAVoJVA8Nnw/0UyCTk7unqnEKxQUddb9ume8zObbHlv+/p2UNboNUW1tx5LP98Gc0cqEdY5yscCF28Y5NtdkrhmTzvt+CiKCUhCGho2jJR59zibO2TZGtVggKhiUKKz1+Qsqc/W5LKRJRHDO4TLhXAmgNM5JVp3JgQbdbRbn8yVcli8hWbyP4BWEVmyJAkOo8GFOKJz48KZm08ctFUKDAIXIsHPjCCOlkDAMSHFs3VDhorNS9h6BZmK5P3W00hTXZynoCPGdp4d031YsuDGdE2YbMZvLBcKe4+1s0Tu1u14PnYU+dd/3CxqthNFyRDEKaMWWdmJ9/KTWmMCHijTjh1PxszOXyy46a7iB0lpYJslzPdiybQKXpqSJZeOWMUqlfiFqpFzgSY87F2cdrtYaOMbtew8y3xpuhXUizLebjBSWKkfbKiGh1mythFSyBGzjxCu8PZM+DDRJ6giX8cgYowidOtUfWc5DmLFvHsEVDLaSKRNHB8/Zk8FFmtlrtzP2vw8tWTZ35WZcJaT2+E20t1fAZZ5q6J+34gWw5RQK0aAMD686lQ8zkg3LfDlWQbp24Vbhq6yoZcLq4jFBJ763RFJliXXfBdBcoYm7C5bzB+N7RUy2aG9a2utHZTlvSnyitjUqy7vQ6GRB1hEFpSlLc2L4ntKiwlQU0SluFPjzxpmtTFiv11VKEedvG+fYbJPUOWpZdadyIWTreJmLz55g+8QIo9US5TBEaS/oxrHrljx1mWKACM4KqfXlVwWFMl6AcFnfCOe8N0IrcEp1FRefKwE2y7XwIU6KWtuSJJZSoAmCCBNoHy5khflmTJJYNo0Vu9bO8XLI+EgJAUJRlIsR52wdxTpLwSjmmgnH5lskNsXZ3sRrj2QuBCWqP2NJ+R4aqRNaqaVSDDNPC93E7o4i1Kne1Mmf6DawoxPGJCSp84pSaKiUApT23cUdQoLQSlOmlgmvyTkxzt+2gUppafxs6lJSdwolgdSCMUuFa5v1OtGK1TS72LZj47LlvcrFkGde8wjSg9MDl99/dIov3H4/x2uD55RWsKkcMJGVdj007xWPTeWQ88aKRIu8ZForIm2WWO7i1KGU70szTKGopSn7Big97bzPxM8NG7588KS2L909g62E2NHB3gkpGKau34Vu+ZCp6vcnUUDtsgmmn7OLdPF24uv+L4nAcN4gtJxCETSE4mT/hWDbq7Pc5gmpq6OkYwoDOlAHi0sXPUh0Kzk5VuWVisdY1sshBhrbhi+fPy9k9B5H0BySM+GE4mQbV/RiaVINsuNkSXUnvz+Fi1iSzF06anFGEY/poYerEkdQGxAym64cRpvP98Gc0cqEOF+lxWjNtvEKj9q5iSDQHJyuoRTsmChz/rZxzt06RrlYIAgMURSSikWjMMGCbCNOUFllpnZisc55+Uj5PASFD3+KwpDEuW6uQxQo0lQymUrh8F4NayEmpRAaAqNIYkssECWWUlF7D4XxpTbnmzHzrYTAGO+1QGEC48OmEKIoYKSiuGDHBgpGMVVPaDuh2Va0Y5d5VBb8Cp0Ebe8lUFlOhsJoRaANUahRKALjSzaJ+N4XHS9LR3PoZpL0BNU6t5BorZQQJxYTKMLIoJ2j2bbMtRJm2m1mGjG1XJlYN576qLMZrSy1uv/00HHuH1oaVrFpwxAX+mqJUyhl9SRtTy3JxHqvhjFk2fknt58V+M3rHosT4V9/tHuJQhEYza6xCk87f6HEYpyFIT1yQynLi1o97cShQtU1EPQyHyf8bLbOjyfnlmyX5u6KnFUy8a97QUHt8ZsHKhSiwUWKI79yIQCmloDA5IsvwJZO8NG9jEIRNoTqXsfYff0SW5rmivF6MhY0KQZLc2kKevn8GjlZXaOnNHBfb4nOrbxHXjiVHH9CBSUwcm97oEIhgcEVAorHvBFIsgqYLjjxvL3KoRQxAUlFL5nzQdNSONYiOjKgvLhdIf8oZyhntDKBVqRWCJRQiALO3TpKFGk2jRaJAsXOzSNsHq9QLIRYpxHxOQOFom8op7X3Siin0cqRWt/FWkR8RJxI13XcbCVERpMam5U99cnYJtA91ZW8UuKc4AQvaGtFuRDQQqGc82VkRdDaT/Jzto4yUgo4PNNgxGjO3lghCDXG+JhuIxBFAQpNMdLUGjE7tyS0RGi0E47PtWm1U5+7YXyyeCdcyxuMNZFRFI3JGvsFBEYRakWUKSwignWdUCjJFAUWPBN0PBJZ8zqfoIEDWs7SaFha1jLdaHO81qbWSkisRRCszYWrU00xCCiGIa1k8UNJMTpa4orHn+8rZZzgw0IQpGNp1woVBqh2vNS7YC20gGWava0Xr3nG45icb/DFHz/QfS80mh1jZZ5x4Vl96z5hxxgAcTtZziEylFZiKRdMT300qCcpt0/OcddU7iPPOXkm/mUvdiyidnl/JR/R4IL+SXvwNZcAmZV2LYKf8+FMvZsGTWHsXsfIA2uXWNc3IfXhE0O+WipBm2rYopYsDe8BEHsSn23n45TsLjbocayyvIkHoYHa5BUVTMMxel+/0C6BwS2qRlg67D2/jbNKXcXiRKjuT5m5KOzb1rQs1d0NKnvXbuTM5/tgzmhlwmhNYLzwnLoFheKsiRKgKJcigtCglBf4rYNGkqK07ycRBpp6MyZup76ztXglPtQK6xzWWtLUESiFFQgVJEmCcxAqQ5J2Aowka5S1YLV31uFEiEJNgO+sncYJJhs7xU8krQ2jlSLgq0oFxhBon5+xkBytiMIApQ07No9Qa6eMj0SMlEPu3DfL4ekmIsJYOWC0YGjUE9rxQtWnrrYjPmzLH6Pv2m2MV1y0lb5eMCqrYOUViEyhyDwlAqTO0XKW6WbCTLNNI/YN8cQtlIX1u374XCwPVc7ZPEYQaO45dNy/kZXx0kZz7TUX+/eSNLPurKxUiAiSeSBaR4533y9t3+zLjg3f8KRKwwisKuF7bKTEtqz6VJpaRrVeokisFyLQSNPufP7u0Rnunamfkn3l/Hyi6ynBtBeuXKSxI+ESRWLdEAha0o1B33C3o3Lg5PblMm/6erBe45xJXLLxMBbNtw+fB5DJKgthozp0uER3l61I73O8t+TvQ+RR7AqatOLPR1nQqVqiSKwXOsGXos3OffSeBuWDJxctkc/3wZzRyoTvjeBDnVIrbBgtgBJm64o4SUmtoAOf1KwDjQkVifOehUYzJQo1RuusE7WXg2zqSFKLtSnOOZRSpAJKa5JEcBZwoBFEa5LUJ28XQuNDlyx+H2R5GamjUPQegFIhxInLLP8d4V4IAs2GkQJKwBiNMgrrsjyNTPYLAw0ayuUCE+MVZhsxu7ZX2LxhhHozJbEWrQSbWo4cazAz16TZTkmcVxpwkrWBJ5MnfX6D1j5hOjCCE7soqZuui0LjG7+0U8d8kjDVaDPXSminFufcggLR8VyskPSXs44YxY6tY+zYOtb9m9FFJSfD7FJP0iyLjYUnkxMQt6AAWkfr8OSJHYO10GhDZbB1reve6rRGHziGw07OL7sbpRVveOUz+O1RH+615/7DfP1ffkCybJWntfvw51oJ/7TvKLWe8KVu+F9Ozjqw8X89wMb/9QAA9Us3+LCmde4030G34ewvtQnqPTl2ocYtUw0u59RhRXNPbQsH7Tg7N/tcsSQ17J/c0LeeDr2RxSW6rxy8yqIEUJ2CL1mI8on2DVEgWpZNwl4vJp9Q4fjlPvS2fNiy+d9bqHT4/bnzuFoLY/cnRFPNvrwKCcyyXeVz1sYZrUwoBSOliDR1jIaKIAxInSUITE/H26y0Kb6yU5oIOtC0WylaCaHROKNJ0ix8qSc/ohUnOCs+3lopKoXAxy+KIkl82WUThig09cR6C7/xJQUC45M7VRZqHieWIPA5FfVWgil5ZcNonQni0q3H5KSnXCu+9KfRGpQQhgFnbayyc6uiFGkmRnV2TI5GnDA506Dd9rkfTkAS2w1Nci4rH4t0G+k55z8DAuOrVLGQhO3zKjJFyQRMt1Pum6kx12x7L4QseGY6DWf6o2lkzTeBnFUSKAY3PugEwi4iDKATDjU95xWADOcc7XbCsFu3ZBriCTsfFL6MhzE+mbv3uHq8GaoQYh69E/uTPQPjhJUCffYEurIQTnXO+dt45gueyD9/6ltDdx8VAuIsFPBE+dyeI7TyErA5DxKVn0yz/X/ezYHfevTQdURn1W3WYK0555+b6HVqqt3BobF5qcw18ZO5s9jf3DBgyeD7t/dSeHPG6GiDYnEhtDVuhswcGj0lHghlBygbi/cjoGNfJnboOGl/MnVjm+HIVUW2/e/h3oLSoSbNbSXcoEZ0K5xrdLzZ9cL1H8jK2w4jn++DOaOViST1cflG+3mRpI5W4kOTrBOsFdCOoniLpuAt/6isBGSSosKAQugF6SRJSROfVJykPs/eWkvclm6losRacFAthahAMxKGhKEmSawPi3IK0SCiaCcWpRWFLLk5ToQo9AnRceJQSoiyHg6+IpTOcly9xyA0xldaUr6SVKenRbVcwASKJE0JtM6SrAOqge56HpQIrcSSOMG6LEk7Q4Gv+KSyDt9ZtSpjjE/GzipThcYnj6OEZpxipNNJW/o6Xnd+9CoSC721c9aLjnLZy8BP2ArMNGF8SEOsI1M+qXoRRmuKxYjWkPKrrUOTFLduRIVDrKZOYFDC/VhP0nivxTXzmBEFMFbuno95zLmktz/g1+k5YXPeZlRhsDv8RJ4NnWsGfI7TifaL6Ownn905DwmUnNRkVIlDiwxswpfz4BMGll1bpth7dOPA5RMbawRm6T0rKiVMnD3D1L7xwQOv5iY5SO7u2ZX0VqMShXJ+uep5nOj2YIVCD7dTndANXCeCTnsEjxMlML7kf5I+ZEK/Hg6c0b7NuJ3QaMW+C7VSmWKhUNp3mbYC0/Mtas02QeBzJMpF44sbiCNJhVozJrWWcmS6+QzWOtpxSqOVEBlFFGq0UhRDQzkypNYxW28zW2/TTnw4VBRqipEhDHR2X5eu8I9AIdQUQo0VwZiFztnNVopNrbe6auVDjgJNkPWAsJmXwgTexWGdD0vyzR80SmvCICAINFprClHA+EiRaiVipBR1vRpqkfW6E6rhw8T83SIKDcUooFLwCpZSitQ5ktQrIxoYLxYyT40/R+9elR5BV7rj51fq+lKfq1OfrXVfFjfEK3E6UCd+NzEaqqWuItEdSSuCy88juPy8rhckuGgrDFEktu7YyIteed2yu4qMJgoMUWC6ikRnX2Ew+MA/dv/BoV6JQYpdTs56ULp/nl3vvH35lRSgxb8WR6YOmZjn/8Nwr4RKBd1eW+hHJyF1vV4PV84Nj3F+dLT7+snMMK/Eg48SdeJNC7P4IzUgwlS3/av79zKKRGuj4cDTl+8Eb9q+pGzQdAuKBGThWYOPu3C0MdgrAWA0Eq3Nlp7P98Gsu2fipptu4q1vfWvfe1u3buXw4cOAt66/9a1v5a//+q+Znp7mqquu4j3veQ+PfvRwt+4wJmfr6DCkOG5QSjBZonUh9B2BnROoC+3YAkJqQTtoxwkGH67RbKfgHCOViNBkwkbBEeiAOPGhSCQWtEKcH6cUahLrO0A3mjFp6tBGUwgDVKYEFALtw6msZbbeZqxSIHVCGGUlX1NHO7YopWglQlH7plpKK7RWhFkuh9I+IVwEAk3WTM+HfEShD3Hq9LnQ2peyTJ1CG8NotcBsI0bFNhN+MkFfdYOdsu7WikKo0UoTp45WnBKnDo1CZ8aqjidiNAq8opO6rvLQHwbfDY5fZbZYzlppzTUoVEuExVOTvLZ61qBIrDwiAOZx50HmKRn2qFMAWhFUhpfATefrvqHKoO2VIgwMzUXemhvO3c5n9xymnYc55TzIREeaXPCm24Yu3/e7jyXZMrxz/aBGdbt/qcS5nz81YU55R+AT5xe33M6Xj1/CXfXtK698ClFO9XW8Xk90m1V5zZKqZs/zqkOXb7rdEjSHzA0FYtQSxaG9tUzh6JAwp5Mgn++DOSVhTo9+9KP50pe+1P3bmAX36Z/92Z/xF3/xF3zwgx/kEY94BDfffDPPfOYz+elPf8rIyMgJ7ecn+ya5dqzq+x2kDm28kB1mZVWd8mFN8/WY8dGUShiixIcxlcKg24yt0U5RCoqhL7/aTCHOGtnRaWaHLxUZpynWusyyr5iab2UhPkIQBAiKMDRs3lCmoAPEOYoF7btN4wi0PzZBsM4SaNNVIBbKsfomcv4C9wfpnNB5SynfIyJ1Xmh3mYEqNBoJDYXQEEUBURRQiAz1ZibXZ52xlQbtW3ijs0pNrdiSWp+0brOwLJ15VVz2Al9ithgENBOL6yQ19SbzZp+MKBlqIctZJ3rjzFbLviNwEvXj20eniDZvwKzRqnOiqK4L7UHZXf++V1gu+Kpm880FE5xN88S+nPVhvXuZrZRioaygUkdjm49RyXumnFrUGm5qG0br6AEhTiew04emS1Wtx2GdoGdFa6QYLkrGfvh4Ch5sTolEEAQB27YtbYUoIrz73e/mLW95C7/0S78EwIc+9CG2bt3KRz/6UV7zmtec0H40itFK5PMg8CE5NlMAyCL2dRb/j4jvWO0czlqs9pWWAqMJNaRJStspcL6kq/NJCqSpzzmInc+fsOJzJpSCloX7Jmc5Nt+iYDTbxspMjJQoFkOcc5TDkDAymCBEZyFPNktcVtDt82CMP1brBCsOZb2yoAW0UaTWkVp/qbjM8wI+MdtCdox0KypFgWa0UqDdTgmyzsVKgwkgFSgVAlzWnK+dOJyVbr1jrz/4O06nr4TLKkEJ3ltRjgxzLUXe0uihiziH3Xtk6QJrMcuEWM802nzu3+/jpVdcMHD5H/zTDzhS7zc3PfXSnfzmsx930sc8lFIRmu2hnq5jR2f5ty/++JTs+rlnb+GWg8eoDxCsUuuoteK+h+BD8Tmdk9Nh73OKvppTY+lMtUVNa3O0cGmvUjazorDrVLpvvcZ5uDIzX2J8pIlZTqFwDJWJz74lJqz1f/e1nYbJx54677ZyLO3KvphTdOOMN5V8ErYdsAORNVV1yuf7YE6JMnHPPfdw1llnUSgUuOqqq3j729/O+eefz+7duzl8+DDPetazuusWCgWe9rSn8a1vfWuoMtFut2m3F6x/c3O+8+y5W0YYKUeZld6RJA4nXjgWfDy0sz5sJ01SxBpq9RYzc02qpQgnilac0GjG1JttqlHgQ4msReMrIqWpI3GO2HaUFF8V6chck/uO1Tg826QZWwKtmJxtsm1DhR0bKxglGBGMKSBZEjR4t5ZvBNex/vsuQpIpQTpzTzjxln3f78ErIk58fLdPLFeExleHCrTKckCs95pkngvwBXSiUNNKYKoVMx+nbHYFQueFIWelm9zttS+9YDHJjsOJZNWxvLeiaEzXkyJLJKlOzkTHBJKLVyfKsPk+EHFgB6h1IsiQhoFWKQxLPUeHZuv84w93M9+K+eh37+2+/4orLgQFf/jPP+S+yXnSRTfmemv5Dq4nRScethRBK6avGUq9BbNN3FSNdmvtsRsiQisZ/HAuGs112zbyzaPTzLQXzjOxlkY7yeuVrYITms8568IwGcUWFAefVmDbt9pEswtzNy0b2hPh0PjznNVzIvN9a2meRC8VwxJrBiZgi2hmayVGKi3CoP/+nrQC5g6PkD24FxZkgvzZt8QUptwSj9cKDbhPis4zZpBC4SLBFQRlFaZ+cvNumBdPtCKeKBLOtNG993gnqLyh7rqy7srEVVddxYc//GEe8YhHcOTIEW6++Wae9KQncccdd3TzJrZu3dq3zdatW9mzZ8/QMd/xjncsycMA2LihShD6MrAqy4FIE0ezE7YUBdis3OWhyTlaSYEjR2vsn5xnx6YqY9Ui7XbC/sk5cI5GoJltxoQKto0WfN8J57CZTOwEGnHKnmN1dh+bZ6bR9mVcEeJUOJZ6AaPWjJlvtNm5cZSxckSY5Tog3gMQBtoL8oBRvneF4AiNQmnfT8Jk5Wg7Mj74xGujHCIKbZSvLIXPebDOexCU8gpLK06ZrjU5MFvnwPEa07U2zThFgJHQABqRrFt31rFbKdCqk0uR5UmIXyZef/GKUNYVu6+S0+IvJ8+XWDPD5vtionKICQwnqrB1vq/e2/cDx+f46t37mc1CdqZ7SsZ++vbd/PjQHPcem++WXO7l+/ce4n1fvJ1ff9ZjT+g4lmWxUKMUFCI4PO2VCvDVoBLHhlLEky/dyTd/sm/ocMdbjhEjhD1N96x1xNkDxoksKVLQoRoGmJ56uHFqfdnofI6vitXO55zVs/Xv7uXoSy8gPqs/cXU1hs6kqrKuwH7+plVDeyxcU5dhALuOpTLtw0A5X+18v7e1lVlbomCWGoOWCxF2Ti+55ceNkNqxCjbphJT3fJdO2PHVwYoEQPmQZeOP4Phj1s87Mej4lYO0LEjWkFE0oLMKURWWVSiamwzlIxYTLwzsQkVazJrfOSGaH1IswyzWYhzKujXbOfP5Pph1Vyae+9zndn+/7LLLuOaaa7jgggv40Ic+xNVXXw10rO0L+ATi4RPpxhtv5I1vfGP377m5OXbu3MnWjVWUNlnDKuVzJQKNijuCsBfQo0BxdKbOsbk67UZCnPiyr8o5lDg2lEJwlno7Ya7eQgPVUFGIfEK3CLStcHimyf7pBoen68y3Eh9SFGoCpUhESK1lvinEqaXRSogT35l7a7PEOdvHMQAKEueTrwvFEHHSbWDnP5ve0pMqC4Pyx6EN2FR8dSalcDbrvJ0JeFr7jtVJYtl3bI7v3H+UvZPzzDVaJNk5h4Gm0yyvq0g4r4BoVFYZy+9dxFcZzfw8WbJ2zxfTG38pCwLqYkE158QYNt+Lm8coVheSLnWaoAc1ZFgFDoXK8lruPTrDrfcd5tj84Frfh2Yb3H10rq+8cC8ztTZf/fEeZmstzts0IO8pNFz/Hy4j6pSUdb67NgDtTLUp9dQSHHYv0Mr3qWj1P3yjwLBzyyhPevTZfOuO/X3LjhyvI0AztiQajFIUlBAq6atkln0oQxUKLQuRA9IJp8xZFcPmc87aKeyvs+kzu7GVkPmrNlN/1NqrAjmjkGDtd2wnGrdOVWkeDgr6sPm+uHNyzRWIZW0iWL1VoKLahIGlXYtoTJdI42FjKYqTMtR6b9rCyB6LaUNr42CForZrwbNg2mqhgpN4OcWZhe9tOUVIDCw5ZQUuFCiDafTPw8K034cLoDWhURZMAjoVRCsWGoUr4qomqq3ieXiSARP5fB/MKc+irFQqXHbZZdxzzz288IUvBODw4cNs375QweDo0aNLvBW9FAoFCoWlhYujMPRfRtbgTSnfG6FSDEmtRWtFpRgQmLJ/TxxpKUIQNo+XcdZhdEDRCLP1FjNTbY7Nt0CEQqDYOloAFFP1mP3TTQ5M1ZlptIlj64VvrcApXKfKUjex2nUTpuebCa32CCOlCIUvCzvXTKhEARuMIjABYZiFDems5wReoO9UgLVO0MorAakV7z0QX2kqTZ2v94wXhOJEmJxr8oPdx/jZwWnmmjHWWQw+QVsrhVEKcQteByed0q7iTVtZaJX0aAv+WPyF3idv9V6Y0vOros97kbN6hs33oFIg6GnYRmJ8paM1uGsF+NLdB5ittWgnKYdn6ydxxBDHlkPH5kibg8ONvly4m6dfdSGlYkhfRzproSVewVDad9Beg1wTGsOORYrM5HSTenMhFMlXvhTQghrwxPO5TEt3fsf0PI007S6JjMGK0M6TrVfFsPmcc3KU7vfd4lsXjp7QdhN3JH0dsIOmw4WWtJL3mVgPhs/3TjUJz45ohlQMc3Z4Va5hpKlBfloiDoVGKSBpnZxXQYkiaGkKM4OXi4H2Bi+860T1KyYKdOYSE7PGB36mUJiezyeahaBFV4awhWwfLRjkRHPR4AdHUIv7cya0QmRp9aeck+OUKxPtdpu77rqLpzzlKZx33nls27aNW265hcsvvxyAOI752te+xjvf+c4THttmsfyB1l2hGOWrKYXGS7OFwFAth4xWCiTOkbRTRAnFKKTZjLE4ZhuWg9N19kzVmKq3iQLNTDMmMjDfStl3vMGB6Sa1VowT52syK8GJIu6EBLmsmVtml29KwvF5aMYp5UgRBBqjfHjSnsk6520e4eJQUylrwlB3K0dpH2uENr21HrzEbrMu3SI+4ZosQVpBdoHAXCPm7gNT/OzgFLONNqmzmWKiAfHlZ8XLcx2Fp9PxulNOSi3oE164UuLPOSsDi1okci3R9FXm/Vj8fs66EgaQpGtSJr7204P8r9v3MNdsc9ZoifHSyT2MCoFmc7U4dPmP7zrANY/bRakwQGBxzocuGQ3LjLESqRN+cmQGgB2lIrP1NiccArbIS/rTmRr3ztaJezwYgdGUVAAC7TzuNucMYvynKWP3pn3lYXXsiOZ84PxaFIo87GNtbAxqHEtG1qRMFPdqwnsN1ij0DmD85I7FBYpkme++eBzSkkINkhgFlI+4Rk5CH1UOqvsdKIhHNeEJ2rdE+WPsLSFr6gmmkfYrDkr5PhO4NSkU+XwfzLorE29605v4xV/8RXbt2sXRo0e5+eabmZub41WvehVKKf7zf/7PvP3tb+eiiy7ioosu4u1vfzvlcplXvOIVJ7wvpRSNdspIMeyGYHTKmoZZM6ow0N3QHa217/KsHNZacI75Rpt7D89wz+FZpupttPYlYhtxyn1HY6ZqbaZrMY3Yl4TtVDnqCNwJtkewVlmJM6/ktJIUFEw3WhRmNM4qjtdbHJxp0o5TzpooUypGPgZSKZzL8iGyOmkuOxejfAgVmceiN4/CGEWn5Gs7sRw4Ps9d+44zU29leRm+2ZxP+FaUjO4qEl0FzH+YdNKmVfc/j85+V1n4U5+ikIVB+b97A52y3x8+18oZhXPCwenBd+P7J+f4zL/fx8EZv9xb5MuMDVEoDs42/fWi9AC7/UODWjvhi3fs5cdHplEKauUymwvRCY8jWS+YDj+drfUpEh0CrSmEJlcmcs4oNtydDOwzoWMhrKe5d+IhxeCHZ+GAofozg6kpL8BlD+P2+JCcr/2CCzXmIXyv0glU9gsj+70s0ZpQJNUTf9okZU3h2EK4blBPBoddqSz0wz10P5MzjXVXJvbv38/LX/5yJicn2bx5M1dffTW33XYb55xzDgC/93u/R7PZ5HWve123ad0Xv/jFE+4xAVAqGI7XbFeYVpllPUl9HkAY+KTpqfk2gdIUSj4h2xghbidMzTX52cFp7tjvrfhGK6qFEKNgar7F8fk2cWpR0ikxS08JVm+p1y7r/UAngVl18x4Ev00hVJSjgH3H6tx7eBYBDk7Xma412TRWyYQ5WVAgFGgcxhhcVi7WWiEKFqpAdTpri/MeDOeE6fkm9x+a4dDxGmlivXKCP3jrINJQDoKuN8JXkIJeJUJl/zqZErrriVDZ+WUfvkC3B4eQNcPsv/hV97+cU0agGXQZ29jy00NTAzf5+PfuZbq+kGA920oQGmhVYaToxxKB49k6dx2ZBXxlsEEKRSEwjBRPXHBfguAv2CF5C3a+ibQTdMeDlzHXivn6Tw/wN1+9o3vsu+sNNkXRwPQL6UTzDdhHYLySsBq08s0lkyHN8HJyHgwEWbZ/wGr7/SjrOw3bwolZXR3rV+Ly5+1Kmpsvc3R+fMn7ieihqWPVn3pFokNhJnv+aiEezQx/IhSP+eUTdzhs0aCcoJNuKEIXF6gT/s6HIWr4fOt6LRYlVeoYyoeFDXf7DRVQmrIk1cHiqerIG4s/H4FoLiGaWlAmlu1yrfDPmhP0TuTzfTDrrkx8/OMfX3a5UoqbbrqJm2666aT3VSmEhFERLUJqvXSgnW/A1mqnhEYRAodnmowXQ0olg7MWZx2TM3V+sm+KO/dNM9doExhFJTKIFY7XWkzV2iTWdqMcVZbgDY5OQ9zeZGOdXYs+38FXWAqNZqJaYOtoiVZseeDYHHGSYoym1oyZqbV8RSYRn4htsjCiTNpXCAYyz4rgrJCKI9IGyS4ApXy/jVaScuB4jfsPz1BrxaTOLZR7VQuVmCLjK0F0ekj0+hI6J9VtFNb9zvy2uvd+k21PpmT0JUx0Nur9mbP+KKAYghrgUYhPrAvIXCvh/qka509Uu+WAbz843beOtXaAQiFUCobN1fWIiRffUC/Mbks9c8fW27R3H8G1EqIowATGeyDaKd/46QHe86UfLRmtbi3VoF8x0ABOvMeuZ3xfTln5nI4eNpUKHK63BiZca6UoBIa4vfBIeBjl0+WcAcSbi6TjkZ/YvZJJx+G8aD62JzTFo4Or+pjYUZyMaW3yhgEZUi55MevbEfjnp2nYkfkxfnLvLu46dPbShUZgR2vVY0WzMHo/zJ3vE62Vg80/6P/+0nJAUE/RKVl4g0IU2KIhHjl5UVBUlqTdkY965p4YSEtLlV6deEVi4o6lN07TBrvosaIsmFjQKQvJ19ltPKglVLM8oi7LGKfQClHGF/XoHOcqlIR8vg/mwWlje4qox5aJsRI2dTjnCAJNnKbMNxPQmjAKKBcMZ02UsalQa7RJE0ut1eSH90/ygz3HacUJoYZSEEHmxZhrJt0qL9b5ECGt/Zw1WX8F15snoDq5BQvmTqM14+WI7WMlarFj/7EarTjFOT+WtT6Z2jnBps6Xnsya5Unm4dCZd8AoIXG+8ozS3guB814PrZVXgOYa3HtwmgOT8yRJ2s2HUAoio4mMoWAMgcrCnLL8js7F0yscdlKvF8KbvHKktb9PdBK2e5UI6R8ku2nI6s1iOSujtf/Su6yvXaMep9x+aJr2Mo18rLUEpiepRoSpmg+pe+S2DRQz4V1YVClpNXS01SRThEIv2Ls4ofWzA0h2XHGcQpwShIYf7jnGfxugSADcOTfPFRvGu88SBRTEErBQwQz8qYSBWaJIADxz1xb+4d4DzA9QzpLUZXkZC7j04WRrynkok45HTP7yOdQfNQ4I9Fh+lVMDFYZDTy6w6wutvgTsLiLotqN8wFt203T1wmzOykw2qpR6ekr8ww+uZvexLes2fliDTT/0CfXDSCsLCoULNWIU2kJhNqU9HvTlPMiJGAIXrK7dMToVn0T7krAd+UA5lY0vFI8PViQAKkdS5nYGPdtBNC/d8rDGdo4TUMLIvfNLxlCpRUIz0KgpSnnPfo8nWmx+/14rZ7Qy0YotrdiiRIgTi7FeEK4UQ6qlkErJ14fftrHCsekmd+yZoYRjutbg9j3Hmat5j0S5ECLimKmnNGOLiFtIQFaSJVf7fVoRQm0oFgJasaOdpijJBJMseTMINBsqEedsrmJF88DhOWZqbdqJ7TZ7CwPNaCnyZSbT1JdMcwYlGt2p6uScr9qkfeCRMYq29aFFQQAar3zUGwn3HpjmZwemmGvEvqkdnTwjf35GKSaiqBua1I1w6qAW/+LvDEYrlPbKks/XWOiW3bEy9OVfZ14MQXzRnrxiwvoxWoKRnrryjaa35A9hmUaoJ4lb4mOea8bceXCKx+3cBPj5MFXvF0bmGzEj1aIP0VtMYHwlp14SnxTa/MkeZEAH0zSxtNsrdFzq5vFACYsZEAsi4hs4DqNgNPVF3vBOD5acnAcTWw26M/jQr15E67zq0pWUD3npCG1LxoiU74AtfZus/ZhEY9epVOZ6jfNQ5F3fvB5dXLjH6eT0eO1dZLq9HjqYWChOpzQ2L4iEbrFtZdjtLvNI2MLi8Cn/05Zk4ARTojJ72PD7qOp5iBVmszCtJeP4nJ8Hi3y+D+aMViYKkcE533hKZ1qx0YaJUZ8b0WynhEZTCDUj5YjNYyV+fO9R5mo1Iu1LpJYjQztxzDVjUPgqUFqRuIXetj6/yfdgUAqqpYjztowy30rYfXTeN8nDl4o1CsqFgM0jJZRo9h6fZ74dU2+nXeVda82OiTKbRosUQ688+BQEL5Z3+kv4hO8sZCrwXb6NFt9PIwtFkdRy+HiNBw7PMjPfRHW7dPujj4ymEBnSVCgYg/N5514Yoj+vIUuD6Ho0fI6SVyZwCll80XcH8CFZnZyJTplcnA/NynlwEYEktcy1EsZ6rO0rPbo63/9aSZ1jsja4VwXAf/3bb/CG/+PJ7Nw23r8gDKC8/qVDjVKouLXg5Q6C4S7vZXjuOdv45wcOM9lT9raVWOYa7WW2yslZX1yk2f22x+Gy+HZl1ZoKXBx8ashZX21TmMqtsKeTrnd/8XeY3aJsojHhGr6jZfJnlj0e5RvBDaN0TGhuVrhF6XGDFIn1QBQUpxfOf1ifjBWxDglM/72/NzY9Z104o5WJZmwZqfi+EojgUASBF/rTGMIwIMiaRUZRwLlbq9TmGnz12AzbRotUCgFHZpvM1Ns4cWilEPHKR2AUrdRirbfud7pMi0ApNFx01jh7phvsmawBC4LYWKXAjokKWmvuPzpHPU6o91hPlVbs2FjmqY/cxqbRImFgCIwmNJog0OisIV1HsfA3nEwNyTpix6nF4sA4GvWE+w5Osf/YHK12ghPX5z3QRpNmQr0R71npLeCken/SUWhUdzksKDmdDTu5GEKWMJ41vxO30FWyk+CaW29PIeUSNFtdCz74j3++1uQLt/wQgJnWwrLxYjhQoeh8Q3FqfUUzBaNDEqoDoxnUi2E1aO+Sg0LPbceYhRyJdUQpuKLUn4DdSlMKgSE4wYfIR36yj9lFHhCbVwHJeRARBff9xRX0GjLFyJoUip1/fjvh8UWK8OYNcN6A2P1VsLgZ28mwXuOcCUgokGRKYQcFGMFu9oYLmyx84SsqFkrhQogDQzQ/+P6kY7f2yGMFyYijt5Ktsj0N7NYRAdJS/31adBY1fYLHP3/RKC7qz50L5xNKxwb3RFqJfL4P5oxWJirFkEJkUAKJFaJQYwKNFkFphU0tcZJiraXZshit2DxWYKwUcOh4jVbqu15b52sbO/w4zlmCQBFoX8XI2h7hXHuBvJ5Y7tk/Q6ud+rAjrZgYLbB5rEQjtszUmpQLAe3ELVRNUoqtoyX+f4/ezlmbKoRGY4xGG40o36Eu0BqLLy0bGo3SGusEJ9bnEmnfqK7eipmN2/xk93F+cN9RjkzXiBNLkjp/DlnIlbXC1Fybs0dK2NT3xlio4pSRfV7C0goJ3dZ1PXkR7cSRpj6R3VnXDZvqKhLZmAKssUFzzho5fnyeL3/tJwOXdRSLxZ2sG+2EuR6lwwnMNmPGSutQoamH33/dM9k4Xu5/MytAQLS2PhcKCHomrQBOC1edAk9HTs7pQBTc854nnu7DGEoe9rGOhA67cXDoZlexWPSQFl+FZQEF8chwhWKtzF4kS0KfxAiiFHqFaNNhiAYb9WrIoBNHWn7ozoN8vg/mjFYmIqOZrsWMFgMKkcnEXm8Sl46l3AlJ4giUcGy2wee++wAPHJ2h1ogJlEJrRRR0BHaw4nzpL6cIjLfEigLbyZ/Iwo9+cM8hJmcapFYwRrF1vMRYucBcPWZyvkUYaKrFAKMhtqCMxigYrxbYMFIkCgxRFBCFAUFg0Mb3mkh8xrePK+8R8AOjsdaHD7nUkiYJ9+yb4ke7j3JwqkatldJKLYl1pJmwGGjlK/AoRTUIcGknt6P3U+zxRECf4rDQ0M77TRVekYqtL1Xb1/Su64FYWLfrxs05dZQi6O0PsVIOAXBkvslkrZUl+Q9GODUKxXryLz/ey4e+9dO+9xRghsSKA75rdeiv+b7tlCIekjw9yBBmtE/qS9I1PkVzctaBrndi0Zz3ceRDroNBE/rYtC988Ihz1/0Yc9aXtKAgVehUhof+KIhHDdHcQ9eDWjkgjN276E3lw/mGIQqClusmYXc3aye4ex4YvNH5j4ZFnolkJESMpnw4LzKwXpzRyoQVYXykQKQza7tWGOODMLTTJE6TSooG4tSx++Asew/NM91sk6aWQCtMlmScScrdRm4+p0Ah4jBZLkTWt4t26rrlM41W7NxUZbQUcny+zXSt7a2lWhGnltBo4syNqZWiHvueh4UooFQM0UFAEJqsclLnIpKsgpL3WjjncydS6xBnSdOUo9M1frD7KAematRaMXGa+iZ1mVCvUFgRNIqRKECL8g39yMKmpLd6q+q+/N79Z6Cyz0Jpwais7rUT75VwXS1ioZqT+MpXnTEgD3M6tbgTrpb1P79xJ7NNH+LgsnC15cKWFnfGbiRu/cufOgdxMtQ78Vf/dgfteKnQfni2ecIu72IYEAbrYw3K9eSc080gReLBZn07Aj98LLUroZNOAvLqmfhWhGlluYmBQllBL6MvzJ7bL+KN7U6WCOInjfYei2EJ5RvuGnyeQQtO9AYeNBxmQBL2g0k+3wdzRp9JaDSI+DAk74TwJVdTR5xan1vghMAo0jRl6lgdZRxOC6KFxDrvCQAC4+vMZ/nEiPhEYuuE1Lms9Cvdv0XAGM3OzVVGyxFTtTb1VpKVT3U0E0s7FQKju3k+nUTqcjEiDAO0CQjCAGMMWussiVyyUmdeGbDOl5kV5ztZ15sJzVbMPQenOTrToN5KiFNL4hYUiU4ZV6N9r4vxQoSzslDYJqu41BEkO3kTnWzsjrehozA58aU0EV/u8/9j79/DZcvO8j70N8aYl7qsy95r3/veLXXrLiSEQCAbYwRyZOMAcYIdzmMnWDjkiDxPiE0IxCcPUkxEntjmYg7iwImDDJwoxMaYg8GxxbGFADlyJCSha6ulvu/7utdtXsYY3/ljzDmraq2qtdbee+3dvbvr7ad6r1U1a85ZtcYc83vH973v51zQSYxLm8bZjsnLvG7it8DtwGwisXZ6hW/7jrfOfMcvffTz7I7yPSVuBx9F7fmvE+u5urXVdsJ3vPkhvuPND/Hn3/Tg1Gs/+p5v5+RKe/YblQ7aCe+nH8Df/7l/wTArcF72PfwBrOZTg2I26TnG4aiVJolurjxrgQWOCiXwiv/6j29egHpU7PTgS0/d5oPcHnzgAx/g4YcfptVq8Za3vIU/+IM/mLvtRz7ykakFtPrxpS996Y6dry6qAHvvHFVqzMbsOWXtjyoicSOxdO2kUj12H4qx7dmToGvD5tf48Hjj9GCbVeJUQxRIHFybJh8AK08Hi9i698Xk46DPoefoMI4zmrBtw/BC6/ANFzgS7urMhHWe0nriJEJphdIao6s4pGoEZ7Qiz0vWt4Z89coO/bxsVt2FUNZUWCFNDEkcxM9F6ZqyJ/w4QxFpmtX7NNHc3+5y4WSXS1tDRrkNBMYF93qjBes87cSAKIzWJLHhjQ+ssdROSZKYJE1Q2lQy69BEyyiFKNU4I2k1JjVFadkd5PT7Oc9c3WVnmJNbh/V1t+o6L6Cqjt06OFZFBpxCKWnOX1XEQem6a3fd93p8wQrSdJusOUHpPK4iU9N+sOP+1wrVlHXuc4Ba4BgwPyOhtSKZ0fXzH/7BF+hlcwLsWftRcM9qZ9/zCkUr0uQ2BPQ17j+1xHd+7cNT5UN/7o0PND+vdlvow5yU9p6b94yymxPJzTIRayXRDYuvAb7zlef53SevsjGaPhcvQumEscH/AgvcHpjB/ugqZCVufF9X/sbrOPsrXyK9PJx+QYDeAD5TlQ7K0Ur4vCj8cXUEvon9/Pqv/zo/9EM/xAc+8AHe/va384u/+Iu8613v4gtf+AIPPPDA3Pc9/vjjrKysNL+fOXPmps75RqGLihDMmouFmZmmtX+bYPKjEwlRkJ/Yvx/Riv69Md3LlngwHjzZacW1t2pk4tax9fqJwXWUv8ueTVxbpsXlt4h46Gdawx6Gzke/zOibXoHbez/TUC4Zdh8eP29LDZ88eH8v9Hh/seKuJhNZXpKmoXeCVhoIAbx3HmuDSBjvGI0Knri4xXo/Iy8d4j1aQqArEILxwpHGJgThRuPFAUFTIQJWgmWrMYrUaE4vt2jFEb2sZHuY08/KkLEgXFPeB9F2GgeRdRxHPHh2idc8cIqV5TatdkoUG1C66mYd9q9U5YSkFBpF6RyRCjoN5zxppHhye8BWP6ewQR8x2XxLN85P4TtqRwZD+G6YIA3UixWoQMSUarITatKvrnqunvtc7dwUapqacqlaa0FlElsHrbJ3hlng5pEXUBOFxMzMK26s9/jI732G/oSg+p99+km25tiYBhtvmVnqFM8JvDWKfl4ynGhud3rFs7yn6Vt3wrXpC598kte8+SGSvY3hlA6Ng2bhFnlod48jlVY3p+H5t89fZ5BnmAk3AScK6xdlfAvcOehcTTcS00eL8fYiyVKGf/oxsnx8/SbPbNL+9MUwiecVaT4qmTjGso+b6Qj8Uz/1U7z73e/m+7//+wH4mZ/5Gf7lv/yX/MIv/AI/+ZM/Ofd9Z8+e5cSJEzd7qjcNH0soCZo1dUSCW7FIRSiUwIk/jjCj2duLUXhmlzrJnMUbHylsW4c+DxXKDrg9GQs/6WHhBVWqfWtYMlmdvRe3eOvf+5luNjOnz5+htS0wYVteLkVkp8K9SCbscI/aAfuFHO8vVtzVn6QoHWXpACHSIVNhrSMvLEVRYq0lLyybvRHPXu1Rehd6N9SDsor8PUIpnqx0WBecmZJIN6VPEOZYVzkUrS6lrLQT2lFEf1SSFS7oGWoJQf3wkESGTidm7USbNz50hgunV2i3U7TWVXeGEMzr6tH8XNnDihdcVY4lIjjruLTRJystVvyEVqEiIDpoQOoSp+U0bs4Jqu3qbUz10BpjxsednAQmLjNEQram1l2ohngwteI9Vep0fH/uBbyMS4AKt68h4JXL2/zh73+OjY3eVDnQm+4/c2AQvTceNkpxdung9K/zvikTLJ3n6fUev/GJ+SUSg94Ib0zoaq32DrCbGyUn04TXnFzmweX9GZQ3rnbCuJ54KKVnHkspRRLNzi7866cu8/zuAOt8Y1BQK4sOKrNaYIHjgii4/P2vBlHTpSJudoKyLtX1sTSPGu2rYEbgV9rYM0vNwy3fneUeRVHwyU9+kne+851Tz7/zne/kYx/72IHvffOb38yFCxd4xzvewb/5N//mdp7mNBT4SPZFXxILbtmF7ICEVUVBMXjoMEvYPfvRUCwfMqcqQqPc6hH34cRBVV4aJBJ8JDdFYGehWFHsPKIZXJizQ5l+uFgxy/xINBQnE4Zvf0XzaPDQBVjuYhyY3DcPPcdsY4Gbx12dmaiFlKV1mEo/Ya0nL0psGSwny9Ky1c/Y6GVk1k7YooYGdI1QmNB0SypL1lqUHXTG0gTqnVbEyU6CIXT93RkUlNaNVyjH4oPqHA2rqeGR8yd4zf2n6XZbmMhUAuuqHEiqvEQTmEvoF1EFiyIhI1BYx/rOiEtbg+BKQ1htFaPRBG1IbDSJNhgVfl6KYryti59qIhHKwbQZ18TXp1w3s5uqd2perMTp9S8T2Z0azZGqsqeXUBbvxQXvoQBiDUZx8fkNPvWJr3L1yva+Te8/uUSTRpqBemzXMErRPqD3w9aoJN8zGffzkiev7x58zlqHARtF0+z2ADyw1OGZ3cG+M1dOaIuikyZ0Iz9RviTE3nNqRqkXhDljqgN3NR0YrWey4Iu9UeOOtsACdxpiFNf/o0cYvvrEjBcJFY+zriFhKvDyVcfjaKSOXXvhReOPyeKy3s/u7vRckqYpabrf7nl9fR3nHOfOnZt6/ty5c1y5cmXmMS5cuMAv/dIv8Za3vIU8z/nVX/1V3vGOd/CRj3yEb/7mbz6Wz3EodPibaBtK1STx+K4PvSf2oFiT6dvxDEzeZw9rPpf0/D4rV1NCsn3IUZoqhYntDpka+w8K3Wf3jznbgWIFfKKw7XG3bCWw9PzsnYpRDM8aXDpxryqEpBeIBudWm+dHbwmavZZLDzQYuRncjvH+UsBdTSbSODR8u7oz4vRyWJ4vSouzLhTbiDAqLJe3BuxkBcPCIjIjrJq4LlyI3JHK5aleONVK0U4iVloxvVFJ22j6uSUrXSNOrnekJvZntOYVZ7q86eGznDvZJTKmKTeqT0Sq6F2qEiQvgq9WQgUVSqasoywcz2302R6F2vfY6KDjQJPqUMueRJoIE0qeUGhRlDgUddZCV9kIhanIRFgBmVhprbMPzZwhIf2nJpyuxpxsCmriJ6UCeVngNsF7sPDcs5t89rNPc+nixg3vQisViOXUzUjYyQpW5zSuGxSOckaAvTMq+L0vXOTbXnvvvtfue+yeUNYXDsrURTdjhV+AL/3xU6ylMWW33VDWjaygyB3aSbMqGxvN2XbavLHl55dnRFo32cb6OH5WcCX7flhggTsO0Yre182v5a+1f4fup0683SXT8f333z/1+4//+I/z3ve+d+72ag+jqhcAZ+FVr3oVr3rVq5rfv/Ebv5HnnnuOv/f3/t6dIxPQEAqlBd+aTSQOhci+7JQSiEYyV2gdZYKeISozOSw/Bb2HZx1n+rybJUQBNcdNTIyQn6oE2NXm6UbILtREAkAiRb5W7cPLXDIBUC5pipXx8aKRYLL925cPngrHe2aImiWgW+DYcVeTidqkICtCOZP3gnUWTXA+8l4YjEqe3xgwzMtQKoRgmowDzeQ6STCcCOICwzdaEaOJjGGlHVNaz9ZgxKluQhypKXvVqRX6qiLFOeGR0yvcf3opZE8QVHVgX4u8K/H1VElRvQ8RstxSlo5RXvD85gAnQicJWgglmkhpUqOJTdBZhPeFCdWWfkwk6rKmqueF1oS6yer7qEmEVERMqs+kqAmSzK8RnyhXaTISN1mjvsANwHkuP7/O88+tH7LhdAZJURMJxV6+JwK7eYnWiuUkZn+4MnsM9LKSP/zylX1k4vxDZ7n3leer8T8De9i9F+HpL13iq599DgTOtccrkkYpNoqM4iY6UAdntekPW4/tRcXSAncd1Isj8+tQuGNiKfV+nnvuuSlx9KysBMDp06cxxuzLQly7dm1ftuIgvO1tb+PXfu3XbuKMbxEafCpIcvAEJJXscfwEKF9pJWZMz1EWypFcS4V4Y3/5wD6YArrPC72H994Q5r8HmJn0Fj0u48rOjV8UAziFmBsfL8WSwu1Z3/KRolwS4v4N7+6mcTvG+0sBdzWZCFawnpPdBIVgrcVXImhBsM6Rl5bdQYH1PgiV61RdFdCHsp7w8+Sf1SNYT1Pa1E1DadPVXh4c3ZSw0o5Dl+o9wUgdgHsRstLRik3QPZSWKFLB4UBVvaUrS9h6H7V4WalAhsQL/VEO1rO1mzHMSrpxRKQUsRaUaLSopmSrISjVBCLChCZDB9vYajW6yaA0WZX9M0YtCm8WIvbVm9SrY3uTiWpClL3AC4kn13eqxNnEpC6qqTqah+1RwXIS7ZvuOrHBeplb/uP2lEA99Nr70fNuHs6Ddc1A8V64dHmbL3z8qzM3P9NKGQ1KiuLGyUQS7SdOMJ9MDJ3nzFKXS7v9xrkq0oHQRBJ+dgIjuxjkC9x53CiRWPqTTZKLYO89gVQaIdcGl4Dcl8KbTqGHls6Xd25ov7ej7GNlZWWKTMxDkiS85S1v4cMf/jDf/d3f3Tz/4Q9/mO/8zu888nE/9alPceHChRs/4TuAdF0FbcPENKMrzczcIF8gHgo+rbabgEsUyoE+avnmIURCZqXH5hjcZWeEqKcwN9ErLj+pcK3pQe9jyFcVcX9GedgqDO+J6FwuG6vZ2nZfOYgHDjEK27qxsbsoc5qNu5pMmKpcqJNElFVmwrlKH69C2Y44Ia17PWjA16U6gIwr/hUhLap0FUBXNrBGK9qJoZtGXNockJWOJNaUznNmKSGJQsM5P+OK814YlY7+qGCUFRgCOfGRJzYGUZpIKZQJZUaudodRYyKQFZaisJS5ZX1rwIkoot1SwcVJfOP6UJOQqbOQqh5ehe8qkJYQRDbSjok3KKUmSpvqzM+YJijF1MpuXYaFkvH7qn9VffxFnHXb4b1QVhoapRRRlQEQES7vDPm9Lz23/02Tf+gDMGuLU52Ywnn6ewL6NDI8cLJLsafB3Nb1HU6eXZ1tDVtY6I1dNlzpePbzM873qKjGqL9FnUPmheuF5zXnT2O9J7eOUVmSaCGdIEZOFAM7viFY65hNgxZY4CYxe53nhtD+yi7nfvUJlBP63/IovpuQX2gzOhNRLgP3rcDXrxBfG3H2Hz8FgHUFPHnLZ3/b8Tf/5t/kr/7Vv8rXfd3X8Y3f+I380i/9Es8++yz/+X/+nwPwYz/2Y1y8eJFf+ZVfAYLb00MPPcTrXvc6iqLg137t1/iN3/gNfuM3fuMFOf9QBlTNKRr8RJYi3lEsPb4/TPOHLAQ1+56x5lIuhe7Zeo/BnzdQnKjIweQ+JsWl+w5QZSEmn7qldJnCtuqGdjePcgl6Dyp2H0o5+4lQCpXs+rCQqxWmENrXS1yicOfHWa9FvHLzuKvJhLWOdguoXJzEC84K2oAxijz35IUl0iH4HouMgcotqbZKbWrHdeg8repGc1rhPFzfyRjkFhC0VljvWUpjuqlhe6hCWVSVUaiJiYiQFY7rOxkPXHDY0jGSgsJoOmmMiSK8IYiTqui7XiW1zlMUju1eDl7Y6WXs9guMUhilcZUllVJjk5+GgdRpSRkTAK1qp6iJ+tKJpQ5VZRjqLERjM6ukIQdKB02G0eNMSH3xSVXmNO6PUwnM7+4h9qLCaJAR76kby0rH5u6Qncr6NTKa5XbIBVsn/PPPPTV3fyLh7zZv6o/nlSURtAdG+aAxIhCJx86u8B+/dX/B7ad///N883d/A3qvKHo8cMfHjA3f8NZX8C/+jz+ZedzSOURqkdL0mZvqjhdHiqLyI6+HeDlj8QxCZiFzPpAPBR1jKES4OmGb+YZ7zgLw1PXr7IxGU+9fig1fc/5E83teWP7dzDNfYIH9KNdSfKKJeuVULwmJFMXpFhLr6Wu0GsTxeoY9keCT6WtUF45oo4oStaI41ya5POSeD3yh2cfSR54A4PK7H6NcXps+n7NtLv3fXwuAzzL4bw//DI7jK9e48Xwj/OW//JfZ2Njgv//v/3suX77M61//en73d3+XBx98EIDLly/z7LPPNtsXRcEP//APc/HiRdrtNq973ev4nd/5Hf78n//zx/IZ5qHbHmHa07NQniX4XhR6SAA+8djT1bfgYeVz8++fokLvqHmBvhzQ/kZMMH9RdUbYQHYaNt44Y1t9Y/0iRMlcQqHsREZl7yZV+6TBPYal58N3YCqXYpcy08mpXrCsBdzagmvBziPji+ba1wWnsrOfKOhcnR5hyoeSsAZH6GPxQo/3Fyvu6kivN8hIkxgjUvWOCBaxkdEgnlFh2ernbOxmFNaNWadSIeA3latRSGXgCVkL6zzeBh1DO44YZZZeZoPeorJVHRWOUeHoJhGx1hSTw6IpWxKywvLs9T6vfWiNSGAglTB6tUN3KRoH3zUBIfS0EC9Y63DOIdax28/H9rOEIFCq3hdIrWUY93dokgQTdrF1gK8m6o8qXtXoR4KGIuRrvATtSei1oUF7TFV33vSrqI4WzK/GlrRpHDQdrUj48m36+7/c8KV/92WW2tO1w5+7tMnF7XHBqHWerX5Y1nGHrM5b8eA10YwlLqXgwgH2sGe6MVrBdhYc0h5aW+L/9vWPzN0+HxVEkRkL8r3AIIdZ/S8UtFoxWTad4bDec3lrhywvMWqcalYoNELXjIlJEofXhkV47lrpiGJNW6mgF6pOYTO3fHE7EASt4GtPdbmSL2wDF7j9cEsR1773FYweWeHk711k9Y/Gdf/l6TYXf/C1ze91bBbtlCgRLvzPX2LjOx4ge3AJ3zb4xKBLT+fz25z/1UAWfKp57ke+hgf+7mxi/lLCe97zHt7znvfMfO2DH/zg1O8/8iM/wo/8yI/cgbOaxtve+ATJ0nTR/xc/8yBXNk41v+tCk1yqomZp/jcTLgZQsxu5KSi78wPeYjmQiXgYDlGcFDa+5sgfpTnG3qzEgXCQbGpMrvDRNNlRHqKJHor9+8KLS8+HuG3nlRqprZHrQ0ogJsopslNhdbO94dl61UtHh3A34a4mE5ECZ13QFrgQUGsVVi9rS9jntvpsDnKUhAZuKI2OQqBlXegsXVoJXZ0Zl+cYpUgTQ6wV26MC58HokPHwXtjJLFvDnJVWTBppRoVqNBkKhfeBIJTWcWV7yMX1PifTmCgyrK120FVpU9B4qFrKQVU4hFJBD9IfluSDjN6wGDspEcqaQoduj5MQ+CPjPakqzWBUJbpW4+yEVFqRZnmgmrREQgM8L0GE7vB4J6RKIy4QLwhN/YzWKJFQP66DT38rMXSTmG4a044NShRaFoHZXYlqTOkDFPRrnRilYGsUiHZh/VQH7El88sOf4ev/3Jtpdysy1BtBNtt1yWjNO771tfzOv/hMdR7h2nxufYuiDKu3UWW2r1EkB5zjpdw17Tie7Yfjne9EnEwM17KSJ3bG+XQv8In1Afctt+fubxpqdunWAgscAJ8aUHDxPa+lOB96pGx9271sfdt+F7S9eOB//BS6IsjnPxiWaTa+4wF2vukcS5/e4Oz/Pq5L0rnnwb/zqdvwCaaxqCF/YVDHCzeLciloMeJhMFvRTvBzshliJLg21YfT+8uhprafzE5UIUDrug7N+ggZBGx4bVbDvRqbr9MT2qBwPFModBmIRJ25AEDB6PRepfohuInpezHeZ+OuJhMiobzJlQ7vPB7Y6Gds9UZkWUl/lFFmJSstTaITCu/ouxJjNM55chvKGyb1A0Io70kjQxppdkdFaHQXRBRYF7Igg7xEISy1IuJIT7kW+Qnxghehn5c8u96jfXqF5UgTRUEIbStb2SSJ0JEeZwsqa1jEY0vHTj+jKF0gQCJY8c3PlZMt4kMWwVRZB6Wr0i0THKl0ZXMb+IeviEcgPFTkonSezDp6RUmvKMmso50azi93iFVVkaKE1W5KYjSR1rRjQysypCYiNhqtdNCy6OAa5crJq32BO4qq3GyeA1esdNUckanxKxLKp76y3ufRM8v1rqYgwMagZCcPwf1Xrvf4pT98nPf8mVfvIyBKKb7pLQ8Tb/VgqxeejExg5zNm8zBG6yyb8NXL68faIO7K0PJUL2dkZ9/FjqYmgeU05sETh4tEF1hgEk+/92sDoTgmnPrnz3Lqnz97+IZHwM30oHCicccUFB3Xfl4ymKOXUYQeC8rufw3Ce5JdmbJR3Yt4IE2JT7oFpz+puP7WOU3pkj2qUKvHzX/nHL9+Q/uSOVYtgksEZRXRnNBCydHMCVyiKU7EN378xXifibuaTOR5gdER/X5OVpRc3h5yaaPPdj+jNyroZTmDvKSXlRTW4wnkwSQxTaPnpvSp+kegFRuSSDMoSsoqc0AVuNfXtnXCbmaJjWl2MimAVhMhSZ2deGC1zQnTwkQVYfAOY0wQUonHOSrhqMc7R1FY8rygNwyExnvB+kAkvITuxt6BeNBSNbCrheSVfkGbCZ1E9T5BwpuUCs3wnGc3L9ka5vTyktw6nPdoHbQjIkLhhaGURMC5pTZqqY0RHY4zIWOvj1uXVPmFN+wLBqMU3/WGh/nNP9mvoqyJRI2mfE5ChqHGE9dD8P/K08tTgr+r/YLBHgH2pZ0Rf+/Dn+dH3vn6qee/5RteuT/DUQfyZjqoEkJG7lf/949PPXcncbE34t7l9kvItG+BFxXu9ICei8UIf1FDweBeRXdG3wWTy0xx9V4ku+G9e0lF0hNMMb3fuA/n/q3iyjftOV4ygzVEHpwKj72nLWB6x0eWbxTtq4rh+RfNRfaywV1NJi5d3wU9YreXUVrLMxsDnt3ssz3IKa3De0/hfNNkLWgBwop+ZDRKeRp6LWHlPq2IROk8WelqmoBSulmyjI0i1ZpL2yPqpJrWClXXUygaaixVOdX1nYzd3LKUl4w2BhQlnFpu0WoprPOo6vhIKLkqS8dwWNDr55RVOZb1nsJ7cie4OjvhBfEQq9BjYvLSVlXJFdV+vYzJROkc/cyyPSroZSWj0uG8a250geyErtuZc2iBJRPRSQyx0ZTWE3SwdUpH9pCp5rAL3Ea8/p41kkjz1Pr+7tNehN/78kWW0ph+Pi4pSvTekXI4vrIeSMVDa12uD0oyO3tZantU8Hd+9zP8d38+FOB+6zc+yo0ELXle8qF/+omp504uLbPd7x1rduJG8OByTKwUr1y5lz++dJ0nN3e4d3mJ1505ReE963tE2QsscBAe+W//L57+8a/Frs5uCnm78cz/402Upys91GT9eX1J3yDHEBT+mIiJvMwIzqvf+AxpWvLMV87ve01Zz/3vD4sqm9/3DUi1IBNlcsMZpJpUlEuKpCfoOXbWJoMLH1Vc/ubq9VlE4gAoUZj+9Gp7sSokO+oFc0pKdoLWYucVKaiCzhWLjxQSa6KRw7ZvjPgsxvts3NVk4v96/Cq5h7y0LKUR68OCrX7GMC8rAjHu6tx0nPZh9T6OqoxApRlQKjjUtCKD9xK6ZfvQC6J+q9aKTqIxKPqjEiew3Aq9JpJINxkDqFxypNI2eBiMSp7bGHBpkHP6RJd7VrpVIzmNiUKvCfHgCEF6Xlh2ehnDrMA7j/Me64XMeaz3lR5hnCmZsoWdKNsCGi1E6T39MhCInVFBVtogNq+/o2po+4kcoXPQMoaVKK0qUxRKa7wL51olbZrjj8umaP4GC9xe7J2OhoXlY0/VYs7w/S8lIZ1bziEBR8UzmwO0NtN1UXuQlY73/c5n+Mjf+Q/hINqSFVCOz2d3WPCbf/D4DZ3P0AlbTjiX3li6uG0MGsXAzq4TeOXKONBTzf/gzfec4TWn1yiq80605kK3C4Tx/kyxn9QtsMBRsfQnm6z80ZXGUem48NW/9/XNGJZJl7bqnjgVnMqefxe4bZg1jUYbIy78vz4z9dzaPwoecb1//81I68ZLc2rEfTm0I7S2cOH3FZe//eDUh/J7MhMeTKZvaNxIBDadFl8fBbYTSjHi3uzX063Zd52dhxNsx9C5Ulmp+9BvotnvC8PvXxK4q8nEFy9vgYnQCk53YlxljxqciGjEynVsbUxlqSphJT/SGqcBCS5N3TQKvSEKGwLsqu+CVpCa4FJUFI7Chh4PSmu2hwWnuglZbCisrwjI2HGgDqVE4OrOiPtby7z63CqrnYQ4iYiiIMYL2YnwnqJyb9od5BQ2EAkvUDiP9z40qUNwlcjDoKpmk9KIubUeaxxK79gYFmwOCvpFWe0z+LMFHbYa60aoXZ807ThibSllOYmJlEYpQWtNZDRWe7xXE5mHmk3UnzcIuRf3ozuH6/2Mz17eANjf90SN/7mVv8lR3huuv4PF25QOZhCbef0hVrvL7A77uMpKtm+FoR2fz+Xcc2GCUHx2J7hEpeoAkjFxerFWvPrU6sRLMnOFtrZMnvxoqnlNca5zVPH2Ai9nPPA/fprn/8vXNwLstf/jOU589Ao4QTnPfT/9WZ7/r94AgBLh4b8dsnW1+PpGIUYduABwK1jUkB8P2l/e4tRvPhHc2PcG/NW8qETuyD31sMyHKjXYGeNpzsmVq0LcU01plo8CkahhO3sIxRE+5OQmoiE7NX4m2Z0z1msN+ZyX4+HhtWOL8T4bdzWZsN4Hz3klDEtNK46IdP3HqVfbA5QOek8lCvEhvXSym5KXHuscy60I64WdYRl6UlQkIoo0rUhjHQwyO848AHjojUpOdJKxyFnGjgfB6nWcyBrkjgtLLS6stkmSiDiOKF0QknvvMUqFrtmFZTAqGGYlznqsE5wDV2ckCNspVPUHrJyhAK0EbRRRHDIlg8JyrTfieiXiDrooqWxl6/MkCKa1IjaGdhxxspOy2kpoRYZY61BCVWVolAr2u95LEKRPljg1/6u+51tsHrbAfnzm8haFG8/21nvWRwWfu7KJ9beWeTgMkdYVIZkc2dPoJhG/+je+lWI3lP/EK60jlVUttWO+6089xj/7w/1mwkrBcqfLxd0hw9Lua9BYeOG5kaNXuT3Vwy6r3MTS6rwhCKc7cUhtTxIeM/HzrlWsRP6GSz4OJFALLFBB5557fuGLTecxnVn0hCVxenHAQ+/74/H22a050j/03k/xzH/3JmSO29qtwIuaymbf6r5e6vj4px4jz8fZBWsNnS9d49RvP4POb2/ngXjoUQ58rOb2ofARXPszDkw1ic7qMTHrtq7Btz16tH+MCVAuCbqoMhp7dimmIhSDPedbkYJyScbnWy18uraQpRPPTRy2WJH5hOIWsRjvs3FXk4lTSwlexUAQI0eRCVoIgIngNyyYB0Gw1gorgnPCa86tYEXIrWVQWK7sZBRlqIaLjSaJw76y0lNaXwUoYcW1lh0XpaOXl7QiQzs2wVbVj/tB1N20awrSbSWkcUQUBTLhJJyXUcERyltPWXpGo5KscJSV5qL0wc62LiNSSmEAr8amCkoF8bVTwsg5isIzspadfkFeuoaAND0iqlXW2Bg6iaGTRnSSiE4cHrGuRLr1gFd1n7HQuE9pBU6mdBHCOMoTGQd1C9w6/uTyFu1Wwqh07F2fchJ0MLcTUUUqAer02yxCoZTizHKr+ePbXtVQbykN5YZzshJaKdrp/CnpUm/EsHRzx5SVqaqp5jQBcvGcbaekxqArpzONmiIQk1iM2wVuN6LebGtkCCvD0c7xOeFFO8UiTfwC4+OfegzTbjEYpYifnndU6dCjedZMx4NAJCRUW5TgmUMoFLjWxGCpSUVlDatKPZtgcLCLkrLVBnO2mbVIX2dI4r6iXK4IRbMKyvzGfC+dBf+7Bnc1mUhigzIhgNdAJzH0YoMxGi+u8hYKgVZj+1oFEl5gN7dooyicsNkvGGQWrUM3X60U1oeSpqArCLRk3OAtBPVeoJdZ2suGNDaV3axqPJh1RWLiSLPUTjl/soMyhiSJgl5CGerGc4hQFI4sL+mPQjmSdVLFXpMEpf5/sIBVHpwEW9eRdVggjjWU4WLzapyJMDr0nVCExl7dJGEljWnFhsgEUhMbTax18/15CSVVyo9DR23qV+sTCiVhItLMFzXxWOB4MLIWKW9+lrx/pVuRUbi0O2JUTpMP5z3DwiEC6cQKZp3t0xN3AQUzCcXJTspPfPdbp/YrVRbFDnIgZMBuZgW/mND33ChEwtiPzPi4guCEuYRigQUWOBwOjTum6O249vNixGDYQvv5jUAPw+Z3vRp7PgGjSHYFPYOLNg2xJ0s4h2H+rYlE2E5mEgqXwtbXzlmUUhMizZtA/fabem/VrO7FsJC/GO+zcVeTiZ1RiY5C4H7PcpvlVoyT4EC0MwzCZaXAu7BaGhlDpKCVxig0w9KToCidJy89iQnZAeeF3DpK73Fuop6iFmDs+TkvHIX1xMaQRgbrJrIHWhNFik475jX3nuD8yS7ddkIc192Ax7oD54W8tIwyyzArKW1wbHI+2MaiQtim1ZjgW+vpFY5+XjKylsJ7TKRZS1JOdhOi1LA7yBmWDq2gk0QstQJ5aEVVj4iKPEGdQdQNQauMZBEvoRGehOAxNVHoHK5qXcjEWrnUAnRZrPDeIZxb7vDo2ZM8cW1r5uv3LndYSsaX+4UVsF7YHhZsDIM2x0twBwPIq8xBN46mSMQkakLxuntP8s7X3QdAO4l44/1rM7eXOhsRR3PvKk6Ez17dnvma2aNVuBGcaifEenrinrycZ8E6CeRjz0ZKgzJzvpM5zy+wwAuOeXOxmr0q/BIq537RY/jYKtvffIETH7088/Xtdz1K8eAJpCqLK1ZAOYgyMFmIUSYW7Bsbe5P5uc5NSgRtITsJvYer2okI8rU5A+UIU5uS0LNiFlyqbjpjYDvMbag391zcnMyFnj+2Xwxk5W7FXU0mchEiJNT5KEUp0G3F3LfWJYkMm/1RKFmKII0j2onBeU8SGerGzKoa361YkxF6LmTWUdaWstU2YyP+OgipVuar1fdR7ugsRSy34lCa5AWjQoO6bifmoXMrfM2Dp+i2E9I0QleRuK8sWJGgPxhmlt1hzqhwFC44ONUuUcFxKmQxcucZFSW93NLLLKPSVj0xhLaKaceaB0+38Sbi2tYQL4p2bFhuxSylMYkerxBrdCOapfrM3gcHqPraqjt6K0WlCwnlXpHROEInb+f2EgqBm1xJXuDGsJREPLK2TMdocuv40vXt6hXF+W6LlTTes334fXdUkpWuIRE1nIwzawfha+4/xb//5od44/2njrQ9wPrOiGJOw7hBYbnSn2212okjltOY+Ca6Tncig5nxvrqT/N7zTlRNrsb3UK1DXxYnYXFiFuY9v8ACLyTWv+vBuhHRGGrOzwc9NwOLGvJbR3G+xfa3nqG4EBH1LGu/OyYVu9/yEKNXnZoS0Luk0tqUQjTjFltvacqD77/ZaWH3lZCdnSp7OBgHNZkWiIZz5kYHrn1AadIB8IncEBGJ+mqfiFw0pLueuC+Nze5ezHt+6lwW430m7moy8dDZE3Q7LbLCgvNsj0pirTjVTUkTg5NQJqQVdJOYyCiy3DbCYFN1B/ZVwJ5ZT24d1vmxwHMirTc196qJfwVGhUMpxdpSgokNvcwCik4r4t5TXd78yBnuO72MMRWRqPQbzhKCcBHK0jHKSvrDkqIhNNWaf1WqlFvHoPD0izJkIwpX9aHwjQ2rM+F9rUgzdLDWabGUxCETUYnUlchE3rAqmap4WWOpO3H9ioQCmTpb4USIIk3SSrFeyLOcPLd4Oy6pEhZc4k6iGxtecXqF3Prmu98cjDjZnu93V1aWw/OQOUfLzJ/9X3F2pSESVMccFpZOMn9q2Rnk9LLZ9eBZOV/3MSwtikCEYqPIXNAETULd4NKXEJyvJrMvMZ6oUiJNlukJNOR+gQXuBoiC7W+9h+1vvlA9cfzH8Gj8MZVrHNd+7jpoobiQUFw4h+lbaivEZNMwePOFm96tSzTmAAew4uQEkYDqpq04qCmEqAMC+wPGl8mrc6oIhclk2sFJgT+GzG40hKhaj9pLKOK+EA1v7SJYjPfZuKvJxNc9ei9n1pbIi5Jnr+7w1JVdRlmOMZozrTZZ6dgdlTgnpFGEUkJsDEpBiaebGgRhpyjo5ZZRJVIGQvmOTF4bqin6a64zNV6JtE7Iref+pZR7zyyzOSoZ5p6ldsTr7jvJK86foJUmaKODy5MEQlOTFu+F0nrywgVCIyFgFwnWrrn15M6yMyro5Y5RaXHe4T2Ir4OekDnwIuSlY3doGTnFUhKhkqixfA0EKJSHhcZzjWSjedTPeYTaIrch7VU2xiSaznIbrxSmp/BuhLXjjE5NPBa4zWj+aAFppHnd+ZOIwOWdhJ1RftO7zux8MvHKc6s8fGZl+lSQoD1Sila8/329UUnp5t/cDsOgtHiCQcLQWvrlmEwoYCmOSavzPdsZZ2O6icZ5mGexrsQhyhDhief4Inq/KNtb4IVD7+tOM7mk1X58e6aI27UNo8dW6X5ui95bTrPxFx6YvcPD6vwWuCMQA2LGE4tbilj/7vtAoHXFEO/c/L5dqoKD0ozX8jUoTsx4IdhCziYUXt1SLZDJCWVXOgT9dTM9CJmDYhlsO+y/c2l830q2heG9Ca61/9jKhe7dxUrYfzSYkxmpYp0Fbg/uajLxivtOcc+ZVVqR5t61FVZa13n6yiYQ+kacWWohosgKWwkwNbER0kjjFVxYbbM9yukXNgina6H2JFmoxAl1SVPT6A4qu1RV2aUGIXc7TXjdA6dwSrE7sMSx5hXnV1jupMHW1YTyJud9sIWtReLeM8otWRnsZz2CFUdWOHZGBf3c0i+CK5NzUgU2ocHd+HyrTt1aYQVGpTQ2agodas51OGe8J/T/lsp1KRxzYlfjRnQ1iaoeQtB3WCdY50haKZ1OSpmVDLMSL6EkqtavLHAbIRIiZNkfACsF95zo3hKZOAjf/Kp7eNsrzu0/JYTdUYlSakrIDXBtd0RW3rxriQd2ioJZ4b4A/bLkfDf4Bb7yZHvqJtorPCMrDaFQhLphhaDEgVYk+vZa6y6wwI1AFIxedQKAa3/llVNR4al//ixLn7jeEAq7EpPf08WeStn89+4HeZJrf+UVt/0cnSjcMZVrHNd+7haIAUk9MqdWKbvgiHduz+r14H4Y3jMnuvaE1cC9f47yxprS7YW2QrQ7u/xKeUh3hGgQxvPJz/Wn+MzGm4XeQwmuXRmClKFjtymgfU0QrTDZ7R8/i/E+G3c1mei2U0wcXJHWVru8+gHBO8czV7bpe0s3jVlph3KmwvpQF22CPuLsyQ6nujFPbfYZlX5saTrlc1qJktXkIk4gF7rKSgSRtSKODMudlBPLLdZWO+HcKiFzlCq0ichzS5KoqiRJhzKmyh5qMCpY3x5yfXvIIC/InWVjlLPRy+lnJdaHXhTeebwLwb/I2Emn7hURbGhDt2vnZVwn3pCK8eCV5n8VQZCQqag7dyvG4tPJIS8S+l4UhUUPMrR4tAJjwo6c9zjxjJxlo3+DrS0XmIvTp1bptKZLlna3+2T29pCFGlaEaKKW9PxqhzQ2rBzYiVXYGeak0XR2IiuDW9TNSgus+JlEooZWitee6sx8bTnRQCAU4gWNx0yQMO1LvNJzdR+FQFlpiQyKaGIzATazgryYb/e5wAI3Cok0l//Gq2e+tvEdDyAK2l/eAQXD15wIJKLClf/0sQP3Ha9nVf8KwXVj7FravKa8kDzfP5bPsMB8SDKHSBznMYwKzRCr38tucHByySHHndEP4lYRDQ/RcXjh9Cdnt7U+9akhCAzuT5EodL/uXB3va/kZIVsLPTRmQfmQ/fCxCs6Ui3XOY8VdTSZC1krhfLA4S5KYtdUuFzf6bPVGGKM52U1QQH9kAcFEhnYa8fDZJbaGOVujcqovBISAu1mjr4r/VROIhyBbV8v0RutwnOUWr75/jVfcc5JuJ8UYg0Fjqn0JijQ2QUxderQKKQUvilFecnm9x9NXdri82WNnmDHIS672RqFRnneIB+cc3kmlXxiXNVG73FQlTtZJsJUVwUBV3sTUNns+Hs5LY72ZoNEVYULVZqI0E0tdM66cpygskQnHHxWWkSvZzXJ284JBUTLKb2+g+3LCf/gdX8/K8nSg/OF//Wm++KXnDnxfEmmKyklp7zQeaU2k9YHN7jppED7XU/Tf+DOv4cFTy7TiQ6YPgT/88n53klPdFt00niIUzgv9vCQ/QDPhqu7yt3KDW040RkqyGT05BCid30eAIPSwuFI4BlWJ1pLRnDCqKdkqvedfPHUVt8jELXAHsfkXHkC+48bfF+0WnPknT9H5cqih6b/pFBt/cVwOpUeWC//PL/KVI+xrIUg9Imp54g3Cx4Iu57yxciY6qGN1flIHe9hq8t94vaJcUUh6hLqf4mhZEeVBWXVggH4r1rA1Tn16SOeakJ/ab7GrBFqbwvDcjKMImFywLY1tQTwSkh03/b1pjiTyXoz32biryUSaRETagHi01rRaMSdX2pw90WVnEFb0z6+uIBLq/Ern0CiW2xHiYb2f4/bVb9f5hxBmy1QkXekHlAYVukAbo+m2Eh46t8IrLpzgzMku7VaKoLBFuHriSKN1sJDVShFX+7Pe0xtZLq/3eObqNs+t77Ldzyidw4snUiDe46xU5UyBBIRKq5CFQOmqZD7UJakqE2G9YL2nZQym6nUhVSqiJiJQJ2PGtV2BfIybek1qHmoOIr4qe9IGrRXDrKQ3yri2M+R6b0S/KCvCsShQvN2I44goMtgDgthXnDnBF69sgkC+Z7ifW+2CUjy72W8cw9I9Gomf/94/PTOTUCfyZi7kC3OF3RuDDBFYasV4EUrnubIz5J98YjJ0Uft6SlwfZbSTiKTSPd0u7C0ldwLP5ZZs4vP0nee5Xs6Xrm7evhNZYIHbADOynP+fH6f1/Ljd8NKnN1j69MbUdkctRhTR+GPykZWFH+0+DF5hWX48nqlxKZYVoiHZkcZPZa9b0vqb4XZ1cVOhVpooU3SfHh9YZjg+mVzuSDfQOgMxPhmIRtOZiLKtEG1obd344s9ivM/GXU0m2mmCEJrKteIIBZxY6XD/uVV6w4z17QHDwrLSjhnmFiue1XbKA6c7gOJ6L8d6qVyQ6q7Q4WcNlZh5fE0oEzrmajRxpEniiBNLLV57/xoPnFnm3Ikl2q2EJAnWsza3lE4wscZbIctDCURLYqz1DHPL89f7PHllk4sbPXYHBdaFtLPWkCiFkVBmIoSJQhsq+7KK6HiPiEJX3vfaaEykxvkQNSGoBuqlXamerAmKUZpUV6VO1WZepKEejZi6mrA67Zjz95zGK8WTF6/z5Pou24OcwrnQIVtVXbJfQsz7xYhv+dOvp5XGfOKPv4Kfk13wAtkBc+a5lQ6xMTy5vsPJTsr3fO10nfW8v2BeWkRMEFrv2UiATz1zfe4xN4cZ1nue3ujx//vCrMyKcLE33EdHi1HBSiuuDBVmvevWblYC5NYRmzDJK6V4KrOUC1uyBe5iqImO8/f91GeJNxYZ4xcDdKbDfTY5ILUwoeGchbIbCEW6LdgWbL32aMdWedA/zD32YQ1SBZItTfvy/u2Ur/pf7IFLFJTM7X1xq6tESqBzzTM4V52TgngoHFgbu8Cx4K4mE9Y5fKHAeVpJRBRp0iTi9Iku955eoTfIuLab8dj5VTppjDKKsyfbPHTvCXaGBbtZSV64qocCjaZAowixRF1CFXyJ6xX+Vhzx0LkVXnP/GqvdlNOrHc6sdlheapFEUdhRtdpfWocqPEXpyXOHdY7BqGRzZ8R6b8Sz632u7fQZjgpcVWYkIkQmZDOSxFB6h1KhI7Uowbugt1VVpkRrhTbhEWmFQeEKx6XtIa01EzoYq0CQGqvZhlyoqtdG5VRTibEVUmV0QpftymyUUjx9axkaONduERtNJ01oRaZyfgIdqSm9xQK3F2/7+lfR6aT8/kc/t+81QfjMpcNXz195ZoVvf/W9M1+bsSDWoLBBA9FKppfDjhJ6/9uvXuELRzi3vdjNSpbS0HdiEl6E7WF+DCY1wj/+yhUAXnfhVOjtssACLxRucUArgUf+m393kNvnLcGhcMc02R/Xfu4m6FyF1e50dsS7/OWDtGkB2RrsPnLjx1ZFRSjmHPsgtK5rWtdufGXdxQBqH6EQBT7hMGfaI2H1mZBXG62ZY29Etxjvs3FXkwm84MSTaEWkNbnzGKNppTEr3RbtVsrGzoBhaTm92kI03HdqmXY7ZTuzDHJHUXq8D4JMxbh5la/KN6QSWhsVml6tdBIeObvC6x9c48Gzq7RbCZ12QredIKLICzsl1s6L4BIzzBy7vYL+KGNjd8TV7T6b/Yx+VlJahzipNBQhF+BwCJp2aih8hPXgrKv6OIQshNIaRah5T3TITlgnZKXFiTDKHMtJzLnldiAFaly2pFT9b5V9kdrdJqwq2LpsSoEWsN6xa3OuDXN6eYGJNIXzrKYxRVagEBKjgrFQLVhfLObeMbzuvlM89o437HteRHjPr/7+Le3733zxIt/y6nvQc4Lq9cGIK1dmN5q7XejnJYO8nDnGfvnTz/DX3/TgTe1XEH7rqXFG5fOXN3j1uZMzdRQLLHC7oUvPI//1/8mTf+9tN/V+5YVX/PDHj/msFjh2RB7dmVFYJgCHk4mDoCzIQZGeU6h8//wm+vbdwF1cCaVnHGL969c48/GbLx+NsjExam86spMG/9KpJnrR4u4mEyoES3lu8c5hnRDFmlYasbrc4tzJLv1BxvObQ77h0fMsryR00pQoiei2EpLIBO0BddZhr6GTIjaKdhqz2m1x/6kur7lvlXtPrdBtxygdSp2MUVjrwsp+JYaWKrOmNAxGJVc3hjx3bZuL232GWckwCyVNXhSID0HRhCjaSwji08hweiViMHL0XIboYO+qtSLWEAf7JkrrKWzoZFzRBHJxXNwecLIVk0QRSjRMlkjV13KVDXFVyVfdlVsBjiCM3cgsfVuQjSxeHBSKJy6tExtdbVt1x6YmEdPkZYGXISoXkduB8TjbDxH4Xz79DH/24Qszs+YthGTG89Z7fueZ9X3Pf+nqFo+eOXFgI74FFrhdUAKP/PD/Off19e96iJ0/fX7f8zp3PPzf/l+389SAcK86PkHqsexmgWOA8uq2EQoFB6avr3/DGsPzs8dUa0NId2a/eZJI1Ei3HPmqwR/T9P1Cj/ePfvSj/N2/+3f55Cc/yeXLl/nN3/xNvuu7vmvu9v/0n/5TfuEXfoFPf/rT5HnO6173Ot773vfy5/7cn2u2+eAHP8j3fd/37XvvaDSi1dovdp+Fu/ruaLTC2+DyMhwUaK3pVPFypx1zarXN1a2UK9tDepnlngurLLVSrDg6acTqUsrVjX7IRlSCIV05NLUTw2o35exKm3tOdXjgzCoXTnZI0ojERGijGBWOK1sZrdTQjoMYOYqCKFsEityR5yW7w4znr23zxOVNekURmsxZ32Qi6mHZmD1M6BsU8MBql7IjbLRjNoYZhfWhDMk7itJRuiC2bgSrFVHwXuhnBRvDnHNLBqV8pQxpWETVY6KSZdd2s+IpfOguvFmU9PKCohRE+aouP5AHa6mcsDyakB3StVsUNN3FF7i9sOvbuM3dma8ppfjZ7/3T/Fcf+sN9guYaZ5fb3Lc62071MGwOc9YH2U2993aiuRRmfOQMxVd6I57ZGVtfClUn+jtzegsscEM4KMt7+v/7DKd+59n9L8idyQ77YxSkHtd+7ibIkoNZWQkIlr9fM6Lzmfbc99uuUKzc3B9atATXlRch5sXr2elQB9W+Pv2Z1ZyFq+MuJHqhx/tgMOBrvuZr+L7v+z7+0l/6S4du/9GPfpRv//Zv5/3vfz8nTpzgl3/5l/mLf/Ev8vGPf5w3v/nNzXYrKys8/vjjU+89KpGAu5xMoIKmQCcGNSongnJFK4lY6rZY7ra4tpux3st5xAvGKJxToYOz0ZUTjgdCx961pZRzqx3Wllssd2JWOgmdNGa120YZHbQTkUGbIGqLjEI8ZEWYDLwIhQudt9d3R4zKko7RPL/ZYzcrEPGVRmMs/B6zB1XF+eF37wXnQjfrlkk4v9xCxHFlJ2NYWsQHu7dJN6c6K1FHUaXzXNodstpKSE0URNEVYxGpu/oK3nuc9wytZbco2R4VjApHKeF5cYAOYm/xgjZBvzF2uxO0gjiKGBYlguA93EKz4wVuAHKAQDiZU6LzjQ+f5YG1JbRSDPKSi9s33hNkIqE2G1rd8eVGpeBPPbC/mV6Np3b7XOyN9idNNDBHqP7kxi4PnlxmueqtsT4Y8vTGJnpPtCYL8/IF7jCUk7mB1FHhL6xhXzPdKdvaDH7/t25pvwscBXJgxCt187g9f+LsnMMuV4JPp9Cj4yditzM7Mf+gMDw7/wtpX/ekW/vPSXToHzEL6a6nWFa4qgdF61rG8ld291nqWvfiNyZ417vexbve9a4jb/8zP/MzU7+///3v57d+67f47d/+7SkyoZTi/Pn9Gc6j4q4mE4JGG02rCpaK0qF19YrWdCrtxKnlFqdW28RxROmCKDoymtMrbTZXO7DkWWknnF5qcaKbsNxKiJMIUZAYjdIGpTU6eLGGAFop4khzciklKyy9YcHWIGNzmLGV5WyPCoaZpRVpLiwFdqdEGnvV2jltMhMRfq5W9QlPGK1C+ZIrWO8H0XZWOJwETzbFREfKesKp/DprstAfFVzdHXLvajd0v64O6nwgEYXzDErLTl7Qy0tG1gVXJjfOVoCuXKEq8bYPHSdFSVNKorWiE0cMCot1fkxyFrhtsNe3cTuzm/xM4se/8638D//8kxTW8Y5X3ctKK6aTRMThgiFqa5RSPL81OGRPY/zxpXV2s4ILy935Gyn4oy9fmjkOrvcytgbzJ+9bGTm1G9MsOB+6s+/HjDt28x7Pc9s9vFicd6Ex4yLrtsBdDvfKe/AXTiGRgWRPbf4RibFH4Y9p/fe49nO3QJYstA9fcRu9OqP1eIryitF9Fh+DRDK2QNWCx98QoehcBonU/C7YFaLd2YtRqmSfDe1x4cAFe8/svhoHDB0lQtKH5HqfaDtHOY8qZ+zkCKufd/t4997T6/VYW1uber7f7/Pggw/inONNb3oTf+fv/J0psnEYbphMHFavJSK8733v45d+6ZfY2triG77hG/j5n/95Xve61zXb5HnOD//wD/OhD32I0WjEO97xDj7wgQ9w33333dC5lNYTxRpBobUmTUL6qywdgiJOIk6vdogV3HdmmTQ2aKWwLnTDfvX5E6wmEZFSJJEJZKFa6S9d0DtYFZrMee+xXiOFI1IKX3gGhWVnWLDeC0H+1jALjdqsJbcO8QovhsxGdGNDYgxePFZAnG9E0GMyUP8esgdGayKl6I0KlNJc743I8hInMlELPjERyGQ4NC6fst5zvZ9xopWw3DYYCQHVyFr6eUmvsAysZVRa8sI1rlI1w1FGVQSCphZLqr+1F4WqAjPrBVFglKKUhtMscFxop+ExAXN+DVHgNnYOfOvZlQ7/3mvvwzrPWicNDl+T+1GKlVbC/Sfhua0BAvQZd3P+/WcuoxT0srIpl+rlBc6HPhEPnFiee+xhXs5MTuQ2BOXz0FKK3SrLtRexNvs+w3HAaDWXJGxnBYjFLJwFFniJQJIY6R69lGEWnCjcMdWQH9d+XpSYkcZVQxMaz7UPJm6+JYzuD9u4dHYmQ+IxoVACy09ObFT9OLlyb/KqlMgrhvfNn9PmNcSr+1rMg20rohn2sOFk57/vVuC1Qs+Zv0WDKj1mdNQOKrNxO8b77u50mXKapqRpOustt4y///f/PoPBgO/5nu9pnnv1q1/NBz/4Qd7whjewu7vLz/7sz/L2t7+dz3zmMzz66KNH2u8Nk4nD6rX+p//pf+Knfuqn+OAHP8hjjz3GT/zET/Dt3/7tPP744ywvh4Djh37oh/jt3/5t/rf/7X/j1KlT/K2/9bf4ju/4Dj75yU9izI1R3ciE8FkphVIKj6fu62i0pp3G6JUWkdGIeJQyKGB3VKJQrLRTWlEtTNY45ylKhycEFtYLCs/OsMQ6T+kdWz1hZ5RzfZCFDERRkpUlhfWUzlFWq5ZKFIUNXXI7ScRqO0arMIB2RzlFGQJ0UdL0gqgF3FqHCpF+VtLPSyJjgmDbT04kMqYMs1Zam5eEUWm50hvSSmLQhs08ZzsrQtdh67HisVWpk/eCqEAmVO1uVYmz1cTxQiM9qGcG533V88NQWAdKbpf+9uUJrWFPAK1aKeqwTtTAc9d3uW+1y6i0M4cKBEKRxIYBJQLYCXPuzVHQRWyP8n3B9uV+IB8PziAUn3ry2tzjHQZNWEWZ9fZSwo312AmF2p+d6BeBQFkftEqxhujlV9q9wEsQ5rlrEBv8hVMv9Km89FE1z52CVUdaDZdC49tyaBCuPSw/E44RzahaVX6/jqZ9LdRbDGYQCjO8+aBZDHOTvTIukDhezDhdH6nqq1fkZzsoL8SbLy6d3/333z/1+4//+I/z3ve+99iP86EPfYj3vve9/NZv/RZnz55tnn/b297G2942dox7+9vfztd+7dfycz/3c/yDf/APjrTvGyYTB9VriQg/8zM/w9/+23+b/+A/+A8A+Ef/6B9x7tw5/tf/9X/lB37gB9jZ2eEf/sN/yK/+6q/ybd/2bQD82q/9Gvfffz+/93u/N6UwPwy66vtQd7FWWmGqhnLeBd1AGhsiFdK3pfVoE1ZDe8MS7yGJTbUKr+imBoVhqIJ/vhPPMHcYpRjmJbuxYjvL6Y0KennObl5SuhBgBAcmwVaiY6lclZz3WIROK+K0a+O9RxtNahQb/ZzCOrzXIWiSQCBMVQM1yEr6hSUvHZEJzezGGQfVfOd7Jyil6qSCamIj530gPtaxFGt2C8v2qCArQsgYCE29Blxd4ZV+I1RUqea5MEGMO2rXm3sJJKTbihiWYTXau5fwStOLBPrEEqYo94mwRYQrW0Fk3BvmGK1IY0NeurkBviAUN9jhJ7OOy/1QHlUTChHhC89tcG3nxnUYNQalnXuvCZ2z3cxypVsdcVoHTdWgCKSqcG4is6IwC5n2Ai8RqN4I1b+1wOqFFqTe9cg0ypj92QkBseH7EDduwnbQ9KMcxLO9OObC5NC6FiKLyQyFHimUvfnZ1BQHkx8ZCy6PFbV2wkcqRExmfBDXjnCt6JbMdm/HeH/uuedYWVlpnr8dWYlf//Vf593vfjf/+B//4yb2ngetNW9961t54oknjrz/Y9VMPPXUU1y5coV3vvOdzXNpmvJn/syf4WMf+xg/8AM/wCc/+UnKspza5p577uH1r389H/vYx2aSiTzPyfNxbXWdEtJahaDCerQKq5Rah0jclq4qFQJL6NarStBOMcwsw1GJc0IcGax1REahEawXCu8Y2tD/oZdZnHhGpcN6R68oQjdtHzIQSJ1FqFbwG12EoNEkRtM2obzKe2E3K0mTiJV2gnXC7qgIhEJURSTCZxoVtskahHIiiCumP1k+FHpd15gUT9TnoGpdN1YEB8RxxGo7IStKytLhpdY31O+qd1ELuaWx0EVRNwkPx5ggFL6qRY8jTWxCVmfBJW4c88b7PAyykt3+CJ+F9xilOJnEXN8ZstWbDhRirSnUfDJx0+dsHZd6A4xW3LeyhADPb/QPfd9ByNwhqX8R/MxtFI+vb/Oq0yemnr0+HJE7R78oZ7xnjMKH/jOZdTPvhc6HBcVoMbaPhBsdzwvcWajNXfS1Dv7syRf6VF4SuNHxriOPSixEYRFHULhSI1Y3ZOJ2w+TQuRpKgUb3EOKa8tYmOH3wNHsgkYgHUO6R4nWuOUwumOLg81JW8LHCm9nb2eWY8kRKvP3iEVuvrKxMkYnjxoc+9CH++l//63zoQx/iL/yFv3Do9iLCpz/9ad7whv29q+bhWMnElSuha+y5c9NOKufOneOZZ55ptkmShJMnT+7bpn7/XvzkT/4k73vf+/Y9X2cDQnVQoLlGK7wK5RHeecrSkhWWsnCUOCTy7PQyssKRRhpDKEOyzrObCcPSsp3n9IqC0jqGpaO0jsx5CmuDlWvVWK4O8p2rXI1UdR5KESlNx0ScaqUkKK7vjLi0OWB7lNNOIx5YW2KpFVG6yi2pEiI4LwzykkFuKV0ot6r7QPiKtNSrsaEjdrVYsbcWE5pcoiaUgBmtWEojVjsJrURBVdrUz0ssMpVtVSjQCl91qWy0DxNi8eaQ1Q9OhNw6cuvC38GH/h0L3Bjmjfd56G3tcu3auMmPUcFxa31OViDSmrIikJPIvWN9dPOrlIVzPLvdQ6Ow+QvpaiR8eX2HNDK046i5Z13qD8mcxUtogSGiJnIwQfsBkFelivPgJNTlLvrYHQ03Op4XuLPQW32kuw03SSY86vh8918CAuwbHe+67TBL48hbRIGHMpsTns3JTugC0vWb//50Ad2LComE/MQL+3eIB8HgJdkd94juXrREmeASjY8VolVofAeB/FQ11bqUqWzEXtilBJO5myYTL/R47/f7fOUrX2l+f+qpp/j0pz/N2toaDzzwAD/2Yz/GxYsX+ZVf+RUgEIm/9tf+Gj/7sz/L2972tibObrfbrK6uAvC+972Pt73tbTz66KPs7u7yD/7BP+DTn/40P//zP3/k87otbk5qTwApVfflg3DQNj/2Yz/G3/ybf7P5fXd3l/vvv7+yNAVjQm8IrcFL0DzkRSARWW4ZjgoGWUk+9JzptNkdFCAQa3DWMhgWoXO1CJlzbOQ5W0VO6UMjuODcAiBEWhE1AX0gMnWvCI0i1po0MnSiiNUooaU017dHXFwfstEfUThPHBmMgvtPdukkEaX3aOfIC0cvK+nnReOG1ETxIjgH2qhKH1KRlwkNd62ZnvhWq8yFYLQOJV9G4fBNdsMoiPS4cMpWVrfjUifZJxxTU1mLieN7obCOQW4DgeFFa2H9osa88T4Lw96AbDhNAJwI10bzJ8q6m3NZjbFBWdIrCgal5dleH3OAE9JhyK3j409dpRwEkdtqO7npfd0qPntlkzPLrX0rYLq5/4QsYunD4sDIjYV5caRxB2RGhNCPb+83tTAv248bGc8LvDBQowJ9dWvqOX1Em0w5RncbeQmQiRsZ7zp1qHh64UIpIYodBy7sTxAKkyvMEKKhonPx1jIZ2kH3Wd1YZNsDjPpuN5KesPqU3Wf3agqPKYIWwmLGPcKKCXF55nHJ/OjDJQa7mu4zLDskGQ688OP9E5/4BH/2z/7Z5vd6rP0n/8l/wgc/+EEuX77Ms8+O+8784i/+ItZafvAHf5Af/MEfbJ6vtwfY3t7mP/vP/jOuXLnC6uoqb37zm/noRz/K13/91x/5vI6VTNQetVeuXOHChQvN89euXWuyFefPn6coCra2tqayE9euXeObvumbZu53nrI9NFwLAb7WgVDkZUlR2qBB8J6sKLm6O+RaP2OnLHnlmqNjDInWDDNLlpcMRgXWuqpUyWPq7EOlMHZOKL0PK74q1OTVGZHaOlUrRWw0y2nMiTShoyNcLjy/NeDizoDeoAjajpAQ4OrOiG4acaKd0o4NIsKOLRkUtgrypGEINclyIsFJqiqHMlVQ70VVfSKYjmYq7YRWKpAgrbi0M+Byb4Rzju1h1vTHiIxCm5DdET9uPLe3kEpXQqY6GzTWbFTEygmFODpxELovjG9uHEd1chgNRlx+8iK7hzg5zTxGZOgVJYOi5FJvwNPbwV5W69Dx3eg5k9wBcgrvhe1ewZef3W6ee/TMCt30xelAraqU3tDOvm3X2onZpU7h4or3LIAsmjTux+10JlngeKA3dtEbe8px5LA6lQVm4ajjXSUOczJHz2tYdwhMBsoq0g1F62ogEd6A3rP4NwnXVphcZrr+igr6Ah8HUTbA8AK4lNuibbhVaCvEA4dLZhMobYNuYhbccsKoHWPy6RuaLWP4k2M/1WPFt3zLtxxouV8ThBof+chHDt3nT//0T/PTP/3Tt3Rex1qQ9/DDD3P+/Hk+/OEPN88VRcHv//7vN0ThLW95C3EcT21z+fJlPve5z80lE/OglCKKDEn1oBI/a6WItaJ0jou7Ax7f2OHx9R0u7wx4bqtPYlQogbIO63wjfm4yDEo1TgO1i4uvSpu8SOVTT6MzUErRiiJOt1vc0+2wbGK2dwsev7TNE1d22ennIdPgwxsEISss6/2sEZl6gt6gGSQTCQGpdQsSrumaSMQmaDJiHYTodbai+X5QIVtSrTQPMsv67ojn13tc3uwzGJVY63FO8E4wAqnWpLEmmsiA1EKpuoxLJiarpm/F+BRxFd9WPmQrFrg9uPjEc/OJhAIOSPUCfHljm489d6UhEhCC4eGE/WsN5wKplsKHJfk9N6xZRALgieu7ZKWtRN/jN1gXSuyaMT7jcaswt+j0lMR65k20/mr3EokFFng5wos61sfLBdHaAURCgTIHG2G0LxlWv2AaIlHDR+ybt3waHr0HCM3b0kA8atSLpG5PIrlzOWgfdMHUpFw/p53MfRyII/yZde0vf5OIhn7mYqaSsO+9ROKoWIz32bjhJcPD6rV+6Id+iPe///08+uijPProo7z//e+n0+nwvd/7vQCsrq7y7ne/m7/1t/4Wp06dYm1tjR/+4R/mDW94w6EK81kwWpPEqrEuxXvEeYrScn13xJeubfPcVo+89LQSw07lYKR9WM0fE4iwP5Gwr8L5Ss8gU4GVl2CZ6SU8r7ViKY4512mx1krxHi5uD3nyyi69UVn56HvEV4G+olrpVwxzy25WcrqbYsWgtOy5yMKqv1ArrkNZRmw0tTRUKYVWEkTgEuq566DfaEVkFKUN52t0eE5cOCcIwb5UzEl8neFR6FhTWCirFdjqbCqBuQdRhB5++y+Gulmd8/vqrha4JewNsw/4cpVCdRNkd3apQjHHCQnC324wKlhqp4FMemF7ezSe1104topDnZwXYWs354nnZhObL10NK56PnV2psnBwrT9iNzt45VOj2GsMOyHdORRr3eSWV9T2Hk8RhNfRgkgssMACtwlKCa2VnNFWe/brdn7/BwiEQltCCBHB7iM0po/9+wEUnauETtIeUPuJRI3uxfDv8B5wSThu5wqk2wfPwmVb7Z9/ZaJC65ApdOWZ4uANjoK9za4EdOmD09QCx4obJhOH1Wv9yI/8CKPRiPe85z1N07p/9a/+VdNjAkJKJYoivud7vqdpWvfBD37whntMAE2wgwQBpasyDdvDjCc3d3h+p8+gLDEoVlopDy53KApLaiJ8tXKuUI19f1gxDfvKbbCEDKVCAEFwjSgckBjD6U6bc50WkSiy3NHLLZv9jH5WNB2ka8myUkH8qrRCA3nu2B0WrLbjQIZq99fxp2vEzvUPzgutRGGdhDmgujrrPhu6+jnSQVyaFeEzaK2oP4yIYKrsS4EEpl6REPEhu6MMtGKN0VCUHi+BhEj1+Q+cCJTgVSjLejGmR+9alC48Kug6FTWDFAReLXPToX/wzGWuDUZzDyUS7GRXOikbm7O3k1KgFNZ3M568dngX7i9f2+XRM8tsDnMGxeGp/W4c0S+nCUcc6abxpD0k69VcO7eANDHkxdj9KtIQLQb1Ags0WFjDHg3ahUcDX6X959UCHzC9LT9hiHcPnod8FKxitx+b/frwHAzPKeLeuKzpIHQuhbKnzhUhOXy6Jx4JZWf6HONMUBZcGrIj81BnSvbqJW4Ucd9TLmmkWi02hceUt7bPxXifjRsmE4fVaymleO9733tgw41Wq8XP/dzP8XM/93M3eviZCLXNoBHEe/rDnK9e2+GLVzYZFAWihHYU8eByl88/s8nDp5d44PRypTMQlA62p+I9WoeA3HtpghWlBKWqmsQqMF9LE+5Z6tCJIkaZ42p/SFY6vEhl9cr4e6pi73YaYZ3H2dAFW2vPzkDRTiI6sWYpiShKRz/z2LppXPUZpQr6XWU9G7iBNJa0Wikio/EqiNJzG1yiGv22B19pHITw+ep+FrXI2rswv2ld6SYQUqOJjGaUS+U6BdPrtPUJTq8ANJKPRWrituGR1z7CM19+hs2rm1PPi0BZOv7dZ56d807YLY+26rO+cXifiMlKt8PwxPUesVHzNRl7kMazFxgio1Fq7MC0F4X1XNoacs/Jzvwu7Eeop6rfukhELLDAbBxnucZLqezjMLjLbTiXoVf2z8XiNPnF7tw6dHUUz3UF268+4skccQLvXIYoO+psH0TUs2DyECC41ozKBoK4evNVKWuP57dEKG7HaFqM99l4cSojjwijIU00eAk2rnnJKCt46vouX7i8ycYww4nQig0PnVjm0tUhz6/3uLDaCjXg3lddnauYWisMisgYtNZNkAS6WvVXtI3mnm6bU2lKZoXLWyO2Bzl5aTFaEUcmTAAThEspRRJFrC2lXK3KRUJQryhKx5XNAedOtFnthFYqeUVKapE3EMqdlFSOSZ4oVo242miNVmC9MKwE3LUQdJxOrC7ekFoJ5SNSlS158JrKoEmC9aVSmCoDqrVipR0xLKAsQvanObOGV4QarslLQwH25soSF7gR7Jlrs7zkk599/o4d/vRyi9hovnTpxoXgt4JASHTo4D6HVFzaGnLhRDtk5iYwyC39usxKgZnj/LHSTlidqDQYZiVF8ULa3i6wwAIvZUipyS/fORulcjmUQnUu3bFDAmAKUCKU3fk9ITZflXLyiRxtp29ytqVx7WrO9hLIyQzo0tPaHN8bfKwOtI1d4OZxV5MJbTR54dASgmxbWLb7I55Z3+byTh8nQSdx71KHtmg+fWWH0voqqPZ4X5UHAY16mGCVmkaGkQ0WsLoSWJ/tpJzrtvAlXN/N2ByUjEqH964iD6rqN1GVHGlFEmu67YiTSynLScRGL8e5IEZ1TlBKGDnfkIzVdoynzaWtIaW4iaC9XucPfTHiJMIo0EqHXg6KQDaY4DETNVJSOS7lNjTzCxqKsIEQiIhqSrkqHUlsQnm8F4w2nFpK6I8sg7ys3GzqA1QZHCZOFUBXuooFbhv+zZcu8rHPfHXquVRpHuvMrrWt8YbTJ2lVq/4X+0Oe3Nmft3Z9fyRv335WcmV7fsnU1LajguV2jNGH77g8QiduLzKXSNS4vD3i3GqbyCh2hgVZuYcMCLjCTRGKE3MsbTutGK0UWX5zDiwLvMSgNRzQk+TlAH+MVpkvhT4TNwJ/sYU815p6TjTQPXg1fveVvrnhtq4rOhenvzfRsPMqOVIHa5NBunW0bINL1ZH1BrMco/ZCFHOJRI2tRxNOPFlgcqHsGvxe9yatcC2FycbXoSlmX5O6DKXqcgsdRxfjfTbuajJhrScliKBL6xnlJVu9EVlREpvQoO10t83DS0v8289fYVSUaBmLOmtryFCGVBmgSt0nIwTVsdbcs9zmwtISMYrtYc713YzdUUFZaSIqXTXV24mMZqWTkMaGJNJoHY5X6xRCLfv4DUJw0FlXCmM0q92EvHRc743AhdKqWoDdZBOqciuR0NU6nEMoXarL6OsKJqp/pdJcREaD+LDfiq40n7361wPWCQaIIkWEIlGaVqzRJiF3nrIMGRDvw/7CdxDOxFOtHC/qQ24/9sztciQ/3vHf5d6lDvcsdZrfc+v4P78aimhNlU53ZvY+d4YFW/2CJNKcXW7hRNjozxZ994YFXoTtQcFKJ6ad3LnpZ6N/SDM+AZc7otS8oL0xFriLoKt0rta168QLfUYLvJxQTeHZGSE7PT32dF4tkUZVrOPUTK4QDSHuKbwBv6RQHqLh7HHsWsEav1gNOosou1PjXVEsR+g28+uWFLiWJso8eg6RWOD24q4mE6bSOigR8txycaPHp55Z57nNHpEo7l1Z4fxyhy89vcXGbhaE2joEybXV6UQ7BSZF0u0o4lSnxX0rHc52WoxKxeWtPhu9EXkRGtlNKAQaHQIIaWJYlbjq1xACeKVCaZFSwZ2p7iPR5BuUYphZNnsZSdTm7GqLQWHpjyxKKuel6v++6jQdTlpXjefGn2VW/C41F5Fga+mg6REx4UZbc4GqVlPQStOJDbFWFIUNgnURWpEmjjSlE4qicgaqr+FqhxoObryzwG1B4YXHh0Ne1ekcvnGFySGjZ8zYxql9hGKrn7M7KsfZMxUI8+mllPUJQrE7zCcTfwD0hiXeC91WfORzvBXsNfWYB1s4ODipQ5wYdDQ75WbLRcbiJY/GcliN/92Xln35YFFDfrxQHqKBwh6SnRi/gekJXNgXdIuRfYQi7odGd1PbabAdNUUoal1D/acRoFxSiIZ4DvE4duz9jHO2sS1NcgiZMLlHzTlvZQ+fvxfjfTbuajLhfBBcl85xZaPH555b58tXN9keZKy0YvCwvZPx1JUdSutABX1AXrrqgqsuEql6S+hAUJajmCRZQhBSE5Hb4IrUGxWU1k90mg4ReqOBUDDKLaiQ+VZ1BF/BaN10m64zAZM3Iec8vWFJGmkunGxzdrlFXo7CMX11NVUHt1UnbQjuS84HUuInMivT4VtFRWRMZHxTE6Wmtqm/C61CPwsRyEqHE49SijgOomwdaQovDLUiIwRiddCmlcZEgegtcHvwv/zWH/GpL84WWR9k831utUUa33j9mXZVOZ0W1nsZ/czu60cBIWN2aillo5/TGxYz4ysh6BZEYKl9ZwjFkXCE4VqXMs58bZGJe2mjzkbsw8uXUCyCq5vDgfauBwwhieSmOoSJGWcp4p1KSD1rbp4gFHU2Yt82KmyDgnjwIhrvRx0+867RI1y7i/E+G3c5mQiORfkw5+LGLs9u7LI9CA3iltOYVBu+/NwWg6xsypE8wqiwIVswsS+lQ3lSZDQRhkRFKB30CKV1IXDyY4KsqMuN6ketaGjkDQ1ZqIN7J0IU6XAlVs3r1EQsLwjWOXaGBZ0k4vRyQj93bPQcts5k1P0mfLB/jU1EXnpcpduoHaRC1mVMElTdrwKa/gJj19rpC0hVZV+oQDgy69DKkEaGVhxhVXC6aivNaqppR4a+Vgy0wllPbDTtNEIrKBdip9uG3iAjn2OxWljHb372WRTwXW94oHleEDb6GWeW2yQzVtez0vHZi5v7nodxCdy1nYxBMZtI1DBasdZN2RnMLnmCMP5GRWjauDxBKGrzAE1lDLDAAi8aHDSfvXwJxQLHC+Vg+ekwmHoPydTzyit8ModQCKji4HtuvDufSDS7qQjFgdsosBXZSPrj7HSjgYiYK4xe4KWHu5pMBAtTz04/4ytXt7m+O6S0jqXU0I0N/WHBte1h1ThunA2oyUSkVXBtIugItFaUwfuVNIpIY411nvXdEc76prFdbc8aMLGqXzk0Nc3pqpKm3DvKwoesBWOmoSbeXhML7yEvHJv9nE5quGe1zago6Y9sqCKS8E6RUK610jYgMCxcE9zVTetUTRImrmepMhJKhayBp+ISzfaV3qHqYaBU6KCtlcEiZN6T+ZCBMEY3AvBuGpMag0YRaU3uXNBTLG6qtwX/n9/9OM9c2pj5WlE6vvr8FruDYDn4L750kT/3qgsNqS2dsN7PWOumjQi7hhdhcIi4uHT+SH/X6AhE0gtkhUVEWKpLnpr7kkJ7mUkorPchG1c1jqwJyCy0WhWxtX5+R3YFOjUoYOAc3Tk9b3yd0VtggZl4+RGKxUrtjeOgrIRykG6BqdZhus8phvfU9/IQ4OsCfCz7DTJk39rgPtTN7A6D6MNF1KKDKLtQEI3Gp1jDJcG16aBziYf7+1FMorXlUYdUH6nC0vqT58LPVrCveWD2dk5Qh3XnPgSL8T4bdzWZUAhFbnnm6g7PXN9hkBWICCc7CRGKSxt9ssI2BdP1qv2osHjvMVGEqep4PIBWtOMIow3Wezb7Gde2h1zZHHCinVRdnX2TAairhGoJcwjgw8XkvVA6S249ubVY6zEqWKwGshGOO1lgFJIEodypn5Vc3824/9QSZ1fa5OWQovRN9kNBsLd1Us8vzfkoFTItGjWVNamP5D3ERuHU3omnKm/SGmOCGNwDJYLygiV0F7fiG/3FyDhMdf+sy8VKLxTOVdawL48b6p3Ah//w83Q7odPPpcsblDPq87PC8uyV3YZIQOjIHmji+G9RWMfWIOdEJ6U9xxb1VnFUC1WtFInRM29wSqYJhXUez9iEoH4/mn2EopWG6S0ygRjHBNOGqe2qbu8oGh2EFWHoHJ0ZhEImrqQFFpiLlwmRWODoeOSxS0TV/K08XH76NMP+dOc2ZSHZGRMJgHgA+2qNvELbUGlxFMe9m0GyG2xbD4OSQDpmlkPpkEXRJbPndz/OXuwlFK3twLaiXMbv3XMM3c+In7yOch6z3m+ej564hH3lhf1CuYVRwm3DXU0mvHPs9Aq+fHmTjf6I0jmMVnTiGFuGjIKvsxJSUXYJgVTpPEs6ZBmseEykaVe2j9uDnEtbA65u9VnfGZHlJZxaRutQ3lOPxzqs0ABK4ZVgRShKT1F6SusprOB8sII1WqFVXNnR+onwnuZikSoqL61je1DQSjNOdVNW2glb3iGVDabRilgrhrmlbpxdFS9V2REFOpQ3uZqJ1xqR6ri6PotaI6EV2oRsjSiwgKNi8h68mmxap8isQ1WkocbYaDd02fZu4cl/XPjyU5dotYLTUKQUZ1a6rPeGgTADw7zk0vU+W7uHOBdVyK1jZ5Tz9EbB81sDIGQdrvcyHjy1NPM9z2712RzmWC904ohklvZCQhbAWs9qK2YnO1iGr7UiiebfEWtCUUjoer33VhA0OmHcKQilhEC059y00UQEQiEKVPBWnimmLkUYeU9Lz5KjL/CyhXgO9bt+mcUqi5Xao+HU2R3i7tgpTmnh8tOnGewGa1hdVqLoo03f4BQaiHYh2a2eq8be8Pzst7TWgxOTcoJPFH5WBChBBxFlAmp/kL8PviIL817WCiKZmxFRHsyEM1TdUyIazRJ0EIw+NgeY67voUUl0ZWffZnp9BxMb3ANnJgwTjgeL8T4bdzWZKK3juWvbPL/RY5gHXUQ3iTFohqOCUW4bYTQytn51TsitZVhoRIcASnvNqHTsDgsubgy4sjVgZ5BTlBatFLujnLWlFJhY6a9X5AkrpoVzVSbCUZYhAxCyIVVvCwm/G6VwE+LtqfSAEKw9K6H49Z2M1GjOrbQQPFuVxWUahZXcUW7xSjXXyyQxqctalJ6sfQyD1xOCqUjrcG/UYXUXFbpgu6p3R7Oivec8awXGWMQ9PnajEUGhF6sAtw3LVbbs0kaP9Z0h24OcjSP2e6iRlY6vXt/lE8+sN8+F8r9AC+87GZonPb89QER4drPfdJ22zrNCTFKXSkl4TiR04AZYSmOcwCAvZ8ZYoafL4ZO9EhUMF+a9Dk1X7fiATEtNKLwCDhGhF97Tjs00WQ42aIee7wIvUdTzeV3Lun8DXm5sInwjxxMUvZy+ubVzO0GD9pVTDNfbmCJYtd4QnCLeFToXx0+JCeVHAKOz4d90I8yhretVmRNVA9vWmFDUQb1i7NIUjUL8NE+IrR2YI1g2eqNCidG8KlMZk4dD+1gI6O0hyVPrB25mLm+GTPJEw1K1sgTt1gHvOhyL8T4bdzWZ6PVzvnplm61B1jSuOtlJUF7YHuRVp+YKapwqMxpKa7nWsyijGeYlw8yyOyzY6gUHmtI6vITAyGhNPys5s5xitEaqbIeTkKkonSMvw8M6GfeR2JOaExFK64OlqnXjc6tj9YlfBME7zyizXNke8YqzK5xdbpGVtmpLDXlpKSuHWBNVDeJETR4yEAloiEH9XKQ1aRV0hQyExxHKvWpRuZIQUEqtAWGCoNTaEJlIb044QxmlQnDnXzrM+8WIlU7K5fUe65vDQ7UOs7DRz9ncI5K2Xvjq9d1wUzGhBOgr13ebMsEaoyojslLpaqz1DYmYxGorRiR0Z987eUZG04rv7DSkq890mBt5Eml0NB00auXxlrmakZfQQtMC89B4cDf/m35tQTYXOCLWzu9QXm5hn2zfVGQZjWQfAVEOus8T5rgoEIvOZbUvkA9ahkAoRIe+EXF//0nEQwENLtlPKJQT9AGaiNuFo0yzYi36qxennzu3BhfOQGc2oVCLsuybxl1NJp6/vsNz67sMiwIvnkgr1jop5cixO8wbt6WAKshWsJRG5EXJ9WHBMLds9XNGuaW0HmcrcamMg28vnkEefPHDIr+nsJ5hRSBK5wNxmQjYA5kYH7NGYT2t2DDKy0p3IE16Y2rdVQEEjUZvVPD85pDzJ1LWOim59WyPCqwbl1xhK0KhJu9loXu31qrJImitSWNDKzZ0WxGF9wxKR+nDNrraruZCtbxj8tR0FTxCWN3w1edQSqGVRqtqdVst+kzcbvSHBaPMkkQapaLGbrWc6AptFFzbHXF2pY3eMws/ud7jyfX93a8h/Mm/eGX7QJXAqBJPL7cSvJ0fnteao7IeXM25qbow70if906im+63rNVGo/E4uyATL2tMEYqXNxZlHzePfCel6FfzzEQBwWTgr3wof7JL+/lGuhUeMyGw/DT4eP53aoqg0/SGmUSiRtwXZIl9naOVZ1ye8SKDFPtZjrq6CVEE956b+R51wD2sxmK8z8ZdTSa+9Pw6m/0RI2sRhHYc0U0iNoeWvHCNSLhe8VcaIqVZaUdc3h7x3GaoN/eVO00TmDdlO0FP4L2Ql5ZhbsmcZXtYMMzKJpgP5UrVEr2q3jdhy1pDEYK8tW6L3WER7FyrTaYDqjrgqkiAEzb7OZERVjsJxmgGpcU6FdxppBKfWsFEQX1du9Z4QgWTMhoNpHHESjvBimfoXEUwFLFSWC+N/a2ushy14LQmFa04WMS2E4PzQlmG8q46MxTpcJxShMJ5RBbdKG8nnry0xaX1UDAbG82JToLzws6wwFbkt2XgI09c4ttefS+mqodbSiNy60Om6xaRlQ7nc1aSg/tFnGin1ZiYvvMcpQz9TsPsZV0LLLAXiyzEAreI9c+fZuep1fETk9NOtaKni0AKdh+hsYN1SdAW6FufvtElR8ouxIPgILU3/j2K69OdRl09ssCdw11NJp66tk0/L7A+lDOttBMSE+xcw3MVKZDxNbrcTlDApa0Bwyy4OtWOR/W20zQ7/OycZ6OfkXvPbr9ohN1j9UC17bjSp86FoJCqZwXEkWGlExp6Weea5mLzVmZVc3zHtd0MrRTnVto4hHXvySpLWGkIBehImgyFCKAVrciQRBqvNX1rg3WrEkRCY7o6g1GXSjnvA9FQqslSxMZw72qX8yst2mnE7qhkd1gyyEuGRUlmQ5lX7sNyhdH62MVPC4xRlA7n9k+aRitOdFM2+hntCfnA731pnPL9pkfO8ZVruzxbCa/vBArn5vcKOiQ7cZweSkpVttJKZp6PVoqVdrL/hQUWWGAfFiu1NweXRXg7+/4oqnY6Gj+38uT45/790NoMzk93Cj4+IPN6WHbiGP+sqrAw4dK5DyJIdlQV+41jMd5n464mE9d3B+Si8ZXX/LmVNtYKu8NioqZ5XOYUac2pTsz2sGSY7yUSE4HFBCGon/MeeqOCk0stdiSfGYSoPTW0tVWsMZo0jlhtxZxZanFyqcVmLyPLyz2lWOMdNfoENaYkSsIqsBfhdDdFRNjo5Yxyh6r0HYFQ+MrRRhEZTTs1QR8RXqJwwXWqzr8YdMgoaAllS6rqvyEhs2G9B9Gc6qTcu9KhlZoqMyJ0EkOiA/moXXuM0k2Gxi5WCG4bPvPEFa5vzyYDCugcYBn4sSevUthxluBmOzeHLumKWGuM1k1PlxuCzM9O1KP0SNbo6vB7lgLarZg0jchLRy8bL8nV+1/tLIjEAgscFYvg6ubw3B/dS//ibNc8ZJpI7MXSc6C8GtdDHTQ5TsQz+16q9ZB1Fce86fuAP4sowNTmFLPf56OD+00cFcp64i9eJHr6OmI0KpoIYat7mB/dmAnJjWIx3mfjriYTw9IhVcAUR4YT7RbrW8NgCbsnQNdKcWIpZaUV8/i13VCiNJlTkD3XQZOhUE3QnZWO1ARhsfd1JdKei1lVgb9WRMbQSSJOdBNOdVuspnHoOqw1p5ZabPYzSufG4nA1NlatG8YZrUkiRWwMVhy93PL01pB7TnQ4tdQCFBtkjPKx8Nv7oGVIWxFRorEaRBzeBRcCMdLYaarqs1svQS9RfRm+0kIYE/QRsTIkRvHkVo9BaSmdoDW0jGEpMsEMSil8ZbUbek68KEsp71oca1WFwCC3ZIUljcM4BSbIKyQTWaXM789jKwWPnFzhsbWQph+Wls9f3wyZrD0nms0QZu89H+8EvafR3SSJiLXByuyGeVor2hNdtO2MjA1At5sQV+5TaWxI4zYQBNUb/du3mrXAAgu8vCFeIZOGJLcSSCoou+BjTZTJ2EZ1YmqMGrtVoViesVKjoFiB4kRlmlJA9/lqcWnPFOsSdShfwbCvudyk9WzZUUSj+aVZtfjZR8zexgvJp57CXAoiEXEecYGhKAUqTRdlhy8g7moy4cSj0CgF3STCuiBWzgo71elWoYgjzenlFlujkmFeVlmJWt8wsVMZ/7CX0DsfCEUnjdmt2USd3lNUwX/wzF9qJZxst1htJ7RTQ6QNkQZtQvfqlVZCEkdkpa/Y6XiFWOvQxCuJNCiF9Z6hdbhKf2BHgjGae060ONlJQRSbZAzzsmqqFwKzonRYEwhGrPQEZ1FEWmGiQFY0CiWqyWw4L3hccKuyQURRIIx6tip7klrSQaF947BZ28nWjk91c7EFjgdfvr5JMqFLGOQ3L2/fGOQUVYBfO5FFRrPcSlBqmkgAtHQIwHM/diF77emTPLi63GzTiSPees9ZnAifuHTtps7LO0EZxWwj2aB5QoVr34lgIt00p5varjIImCQVy0sJ0Zx+Flopziy3F5m0BRa4QSxWao+Gf/fxV6NbYxehzvbNB2C2E+xWAWxLYVsKbYVkN9iv1o3gaiS9MK+VXd3YxmYnoVwef98uUew+olAeVp668XlQAKKQoZjZvwKw7Yq45BIyFRIE4HtRv78hFSK0PvY4eqO/b9vq5VDadAfm78V4n427mkzUlRkKuLDcJreOobVTbqQKiCPN2dUO957o8MTlHabcv6pAfi+f2PsnrldbNwc5p5fbDOrAvbJIjYymnUSstlJW2wndJCYxUWgEp8cWrb4SIKSx4UQnISscuZXQdVorYhO29wIj56sO0gKiQ125CgHX9iDH4zmz3GZtKSUyius9GGTBdQoBV4QLS7UUZWO7EBpmJkqTak2sDbHRlcYifA/OQ1YqXGGr4k1BS+im7atHnR7VqrLPVQqtFE5V9rLV0V6MLj0vFZy7sMz69T693gH58Bm4vpvNXLm3ztPLCk535/twp9pQiOfN509xrtuZuY1Rim+o3DI+fvHq4VmJPZhHJKaPoYljhTmkV0RNKrrdBH0EUXWk9YJQLLDAArcdw/PQvg7xbDO9uSiXmOqdUMNHimIFOtfmz1/xwFN2FMPzCjunGZ1o2HlFmDdXv+px6cFZian3AnKEqNKlIa6Y2ZhuAjWp6Hz48+hDm7GqoNFczN8vCO5qMnGq22boBIdwz2qXrWHByLnAvCsFslKKdhLx8Nll1pZbdLcGGKPwrl5hnxjMjX5CIY0fahUWS5CIZqVvsg+FCyVAy2nMiVYgEGkcERkdSIQKQXq9K1+t3NfZjLWlFv3MEttgo+oqByRXyER/7PoUpi86EaE3LPCiuGe1w2o7oc5uDLJaiwHeekyuUWkQnGqliXWocU+1wSiNFlUJsMMeyuqzGq2rchVFK4qITSBOpfcU1mElrIKoalutwE5Y8AL4eV1qFjgeRAqVTN8URAQ/clP9G47DtalGrEI26yj4hnvP8dFnLu/XBe2BR8h9IMsRL6xo/zAt4QILLDCGiEKOaYX1uPZzt0A59nePVuAN2Pb4qegYZQDxUND2aN/zzis03Yt7a8D3Q0xobIfM6Vx9qzjyLm//+FmM99m4q8mE9557V5ewCEtJzKXtIblzoIOYU7wiMoqVTsJqN+Xzz28zKhyx0WGlXmqvpYmLZd/fVjX/1tmJfmY50U3RKJbTmE4UEZuQWdBao41GEQL0ul9E/d7Jsp9OErHSSVjvO0aFxdWvV+VXjaC70iOIoukTEPQRwmBUsBlrVlsJrdhweilFoRhkJQ4fmrVWA1Y8eC24qptw4YREh6wIEvQOriIhsdaYSFN6h9ZgCJkRkVDuZSVkT2rNhaJyhJrMTFTZigVeIEx89zWxeG6jf8sr78f5F7UilBPXhAhNY8cXAq5KW87KTAIsJREtM1/ZXhbHR9oWWOBugEcdW0fg49rPSw01sZBodifqFwoSVVmGGiqUMt0WQnH42RyalRi+9SGKV52b7QIFuMLAJw8+ymK8z8ZdTSa2RzlWG950/2naiaF0oc5fGxWEnF5opRFnVlps9DKevraLUbDcislyh1SOQ0pCNU/DEqvoeNafWRB2s5JHV9q0TBRckJRqrFW1Hq/Z1o3cIPSDEB+C9UpfjdGhRn1rVOCxTQkUNZGoRNj1+TSCZpGQOfHgEIa5o7QZqdEspxFnl9tsGc3uKLhaGaNwqGa914lQiOCsYJUhMVW3X0KvCesFoxWRrmr6RCi9B+XRKJyTijyMvyMBRKkg4FYceeV6gTuEavK8Z63L5a0B5RGa88zDoydXSLWmdI74gMAaIPE533zPCQT4d1d2yKryqrImrrPe9AKlBdz4AtwHBSwnMWlkDhzZC/L80sZT7/vaZtK776c/R7z1ArT/XeBlC+UEMXOCkyNieEYjSqHLYPd6EFae9OiqStW2xkTGJ6GsavZJ3vy53TwOJxKDt7+C8qFTiJm/UDWrfGyBo+GubgLgKwekCytterllWIZuvMqAihTGaJbSmFNLKZe3hmSFY1iEbsFJ1S260UtMCK/nVfqrKoNRWscgLysioRtbzUbAXOsKqt+DM1IQNouvXwskZrWdsNQKpVEV76D5QSpzgvGv4zSAhBIt74WiCALaflayMyqJI8351Tb3rXU50UloxRGx1oFgVftxBNelUhyFd5Te41UgMdZ7hoVlVIa+EaXzWOcpnSd3Hiu+6XztgbJy2DFaTRH+SGvSQ4LNBW4eG1sDhqMbC2Z6o6JZfd8HFQLq9UHGxmB2feqja6uspKFXS146CjtbD6GA2AeFXWIUqVG85dwKSaTJKvH0HeMMVhj1igM7dAccfEZKLRRAL1eIVjz7o2/ErSa4lfC49J7Xkl9oH/7mlzhqQepxPV4u6FwNna1vBNFotmAZaCqyR6c02drs0G54VuMaEfQBzeoElp/2QQBdrbGYXPAJuLYKRKKOV243lGL09kfxJ2dr9I4KSSNkjgHHjWAx3mfjrs5MRDo4sJxoxXxqvUcvK5tsgI4UqTGsdhKsFzb7WaNZKK2nm8ZYV1BKrYeor4ua9Yfyp8k/dX0Jey9sDQvOdNuh/KgSJ0+0hQg/16ayvipx8pVGQ6nK5lMqB52Y3qjAOl81sZsxWciETLwmGQgKobQOrQ2iYGdU4AVOdBLSyLDWbVF6h9eKUjyFF0okNKUj6E1EQjkUSgIBiDXaBSG2s64SZdfnLuPPV5VxORFcJcJWKmRAIhOyNbewAL7AIbDOB7H9EbEzyCmdJ62sUQvrcOOuiUAYY7ba5+YwZ62TAvDY2ipaKbpx1JTaiUhDJpJqklYIkZTVz9N//E5UC/2P8NmaXim3CBsuFu+E0aAMTlWtiCiZvKkIN/A1LvAygl2OuPKfPhac685PBzPlmRZyiAHAAgvMgy65oc7RUQbKh07UKMG2JrIDUjvMKyQK83B2UtPaCnPw8FwYpy6dKJOSce8HX7XWUQ66l8J79vaFqD1c5AhD3rUUJjuGSbVeqF1qkX3dw6jSEX/lKtHzWxMbHZ6VWOD24y4nE5pHTi0zLCzrgxGZDboDFMSxYSWOWe0kXN/NGBUuuBV5oZeVnGgnDCONrYPkORh35h3rKkQJw7ykn5cst/Q4vVOTkuqiC+JjBfigV6iOpdS4rEo8rLYSdtKcYWGbjEbDbiaay4WPNnG2dcrRSUOirPNsDwqy0pFEmjjSRFoRK0WiDUuRRmlCtkF5nA916w4oveDEhUZkJjhLeTSx0eSFUPixMLwmEkopnITvJI00uVdNsz7U2MVqgVuH8tJ4cQOcXGqBCKP88Dr93WFO4cKdy1R/kyQyFPi5jeYK59geBaeopSTGzPhTigQyC5BGmkhKlMyf2F97ssvnNwfsHKItOArhKMuQLWu15kxjTqZ25KsSq3xkKQtHFGnilsFXxH6BBSZRrqVc/48eJnvFytxtNv7iA5z+rWdJn79zneRfbFgIUo8G5ZlqCpefJAiWh4e/N8rHxKP+N8rAJTJFKGoICpdAfqKyyE7n1m2PBeBKaF87WOwdDyT0t5hX4lTv9giEQ7SqekrMy5RPH8OvBjIvscHev4a53iP+ytU7TiQW43027moycaKdcH65xTObPbZHRSjVIdQtd5OI090Uo+Dazgjnqm6/ImSFg3ZodDX/TzkhxFSMiQRhBcA6z/Yop5PEqKZ1b72harYVCUsG3k8ELJP7E2hFhm4aszMqcZPN9GS8r5pMNGenKmF1VbbknTTajaJ0WOfRGqKospzVgRQkcUQ7MUQq2HzWDbysCLn3ZNbhmoZ8Ifujq/4YWoWDJVqznMTBvUlCcNqJIlQMhQiFeATBqOAYtcDxQIlMpbhbseHEUgvIGc3rOSFCPyvJZ5QjGV25iB1wzKx53+RYnIavMhRKPLE5eGI/3YppRZqdI1RnDbLxZ+qkUVNOWFYZmbpUqhFNK+jUjetc5RAw63ydDw0cXXi/SQ6/8z203GU1idkpLQO7EFm/HODbhuFrThy4zejRVexKTHpnTulFiYXv/hGxR5JlW8DJ8PNBhMIU7GsGB+E5ZQhe73Nga3H0AV+r8jQ9H+LBwYsqugCOWNnnWuODmny8GKv82JzSR0yRBl3WG80/Yb/aCY+VDogQP3Hl0HPZ/aZ7GL2yi1FgbrE36WK8z8ZdnaN96NQSWel4ZmvQrOpDcCI62U5YSWK2BwW7o7J5rQ4+RqUjmmzMtZ/cT7804cwEIU7ZzUoK65vyKamyCkLVj6HSS7jq3+Zi2rN/jaKbxLSTCDXrL9JkK2TcBbkuh6r+tT6ch9ZVPwgfdA556Rhmlt1hwVY/Z6OXcW13xEYvZ7tf0B+W2NITCbSVoqMMXa1BBOt8KF0SiE1o/BdFmlZsONVKONtKuXepzb1LHc51W1xY6nBhucPJVspSHLMWJ1zoLGqKbyfaScSJpZTYaAbDksGwZDi0jIrgEBa0L7c/+FUIhuNaIRJy68jK8aP+PLkNOo3CuVCq5z15bquHY5RZRpmdSyQm4Z3HFofXGdy/1OHBpQ7n2ynn2ilL8V29BrPAEVCeStn9xrMv9GkscER84AMf4OGHH6bVavGWt7yFP/iDPzjS+/7oj/6IKIp405vedHtPcA5sO2Qoyi6IqR6aRo9gyhnWsbcB2kK6e3z7Ew0umXik4QEhs6JcXcER9Bd7H0eBX25h7zl56Ha9t56n97YLZPe2yE+AW4QktwV39V3x4VOrPL09ZGeYY6vOvFopltKI1TQmLzxXtkeUpZvOCiAMc8tKO0ZrhTsknqgTBBMJBUCqQMcGG9VJjYWve1h46iYTtfpiolyxIQbeQzs2dJOI3ZFuulhPHKr5R03+VJUXIaoSefumMVfz9ppEieB9sITNy7AfrRWR0aSRoZUYEhPKouJIoxGcCt+n0pCqiGUTY5UnRROjMKLomIh2EhEZBcZwPklo9YcYYDmKiA8oeVngeOCckGeOwWD/cr8/IAUcyu5g78i+GRgFLXP4PgpRLKcJUrHmkXX0prIqodfK3kzKqCqLCj1cZu9bRBiNSkDRXkqOdN7eCzb3ROnsnV7otHnlSrfpCH4ijpo1hf4iQ/GSRXmmxc6fOn/odt3PbhJt3VjTyJcaXuiyj1//9V/nh37oh/jABz7A29/+dn7xF3+Rd73rXXzhC1/ggQcemPu+nZ0d/tpf+2u84x3v4OrVq7dy2rcEMcFVSWZlaw+YUutSIlW7O94ClBWiQ7ISAMUK2CXwUXXnsGqftkL0/jInl9Sib9nbMmsKPg7baXe0+5G0E+y9J4kubs18ffDG0+z82ftx3ZCxDo36hFRuPkPxQo/3FyvuajJhRLHTzxsbUq0UqdGcSBPEwpXNIbuDAud9RQjq7ISidJ4k0qHjrar0FHtyBmoy8h//02zlvKdflLTjqOrVMC6DmqyP2hPeN+JpL9VEIJAaUwXlmtLu6X0xdVwZi5Imfq37P4TzVkgdRFavqTqzMXEqTgTvPGXpGeYWYxSt2JAmBqcFpX6C48EAAQAASURBVAmfC0iN5ky3DUaDtRS5RROyFt6FhmMOQ9xu0c4L7l1q0U0idobH2G1ngZnY3Bmxvj07T661xs1gy94Hly4RQas63Tp7AtdKsT7M0Uqx1koazQUE37Pa1COI8A++CQw8nOm2OdMNv29nBVfUCCvCbl5gndxwx+xbgXdCNihpqbFHYlSVPZ1upbz25DLRnhv1akUoLo2E4Rw3qwXuUigFWmNGQvvpAaOHugdufvLDF0kvL+a4FxI/9VM/xbvf/W6+//u/H4Cf+Zmf4V/+y3/JL/zCL/CTP/mTc9/3Az/wA3zv934vxhj+2T/7Z3fobPcjGlai6hlw6ZzMhKbpNK0cYOYTCu0FKcNroaxo4kVhXHIUH54FGZ1V2AkfApMLDFQj5pYjCrSPC36lTfE1D05loqPL2+FcHz3B5nc8gk+nw1zbUaCEdDM4Wi1wPLirycSfPLPBoHS00WRKIwrWWikJms3dnGs7Q0rnmuCdiX+cD0F8EmmKUuH9PH2SQqlKhr2nbFwE+nnJyXYaAg4Jq/h144q687WoCSIgY3oxdmUKAVkaGdqxIcvLuSsS8yrXRQTvwp6ajvITfKTxqxKZsQ4tOCc4B2XpGGQapYQoMrQTQ9rSOOWDfa2JKQqLNqGUbKm6UAc22H0mGkwaSrbSNGLQWwRbLzSaxowVvITV/zpbp1Sod5xVGaSVIjGGP7m6CcAbz60FjU9lN2yUwlRZstwKrcij5xAK24z3MU60Ek60Eoal5csbu1zNjicws16IjiD+FwnlTsOd8V2le7IFwJtPnWDeLlbiCK3aPD8cTX1v+gjZmQVehKis+FQUoaKI9nXLuX/6PJf/ygPk98yui0gvDtD5IvMqx1hDfqMrtUVR8MlPfpIf/dEfnXr+ne98Jx/72Mfmvu+Xf/mX+epXv8qv/dqv8RM/8RM3da53CmL2uD7pQArqr6oRdc8gFMoLOgedh3nJdkG0akqplK/2rRRlF5K+zNRnQCgP2pdxSMGlEpypdtStJrgbiJ4Wqx8E303J/tSrqjdC+19/HoDr//Gr5/aUsG2FnBJaG0xlSo5yyBdyvL+YcVeTic88dR0Vx6y0I6JY0WlFnExihsOSazsjsmKCSExlDQKRGBWONNIMVUUYJi8EVWcVZKKZHVV10TiHkVlH4TyJrlydJLx37xAZOzSNQ3kNU1qNkJ2I2dF51eF66rBjYiAE0lK/3pQyhd+N1tj6smj0FeMzkmrjcd5kTDBC6VUINMtSyDKLGSrS2NEflkTa4LyriEbEA6ttumnM9qign1liHDY25M7jCstosXJ7bLBOZqZ/5RB9gDbj7IQIFHZMJGoEQqGmOrQDJHv6hNSk4uvOn+Z8dzrI8qIYWUMncuy9q3hgx+01ix2jE0c8dmqFq/3jIBPC7rBgbelgWaz3Y4enSQy2Qv5bHpxH3QO6keHRlSWyie8/myeEX+BFDZUkqD1jPVnPufcfPc1zP/AKypPTZXPxZsaF//fjRNuLpnX1feO49gWwuztdwJ+mKWm6/3peX1/HOce5c+emnj937hxXrswW5j7xxBP86I/+KH/wB39AFN25EGivm1ODQ747257OXLi92QXG+5U9Tej2rrxHg3BA1yI0v5s8DaPIlyHdlX2WtT6B3YfU3CZ3Pob8pJBuHk9w7BJFdBRr2b0DT8HoHa8LPx+ymORaiuGFaXG7y4+wADXjsDeLl9LS011NJvKyxIhmx3vOrKSca7UoS8/1Xs4gK6qAaZIkjMt8FDDMLWtLKcaM+yFMFCOF/09kNZrQol7xV8HVKbeOtjHBHWqSSEywgHHZkuzbRkTAhyxJJzEYo7HWV4kEYeoMZjGLOu9RbWsqlyovEhyfQl6luQjUNDdqsifjF2W8ag04KwxdSV5atK4E2HFEKza0kph2GlFK6JK93S+53stCI75EsZMtgqvjwua1IfEM8e9wcPh3XJcmDXN7oA3qrU6SIjC0mnjP8lYPfWzy7Bs5l5lQgYD5I9blztw3oawrX1jKvqQR9Uvu+1+e5On/8jVTz9/zC1/CHMWSbIGbwv333z/1+4//+I/z3ve+d+72as+KfG2VvhfOOb73e7+X973vfTz22GPHcq5HRTRQGLv/nELjuIPnEXcECZhocK09xzyC7ez0ySiKZWivT8/W26/SoUTqDuKA6bva4NbmXuVnu2QtcHO4q8kEooiMohUZTrRTRODa7ojtflaVMclE4LT/Ii5sECwbrVEq2JmqpjRoUu9QJxXGZUqqIgYiwqi0LCcxMWoitg81HeHXow36SGlaSUQSa4oSgnZ5InMwrlmqRRA0hlyqzn7UnajVxPHH6vGah+wpm9xPgKagUKJJjWatm7K2lPDKCyd45MIqrTji+k7GU+s9rvVzxIJG0G0hs55y0Q3stiOQ0+lSpilMiOA7acQwt/syEMd3LrKPSAAs4+8woVBz+29ESjVGBQfBecHMaq7Bgki8XGBX4n1EAuDZ/+bNPPCTf0y8uSi69o1y6nj2BfDcc8+xsjLu7zErKwFw+vRpjDH7shDXrl3bl60A6PV6fOITn+BTn/oU/8V/8V+EY/qQqY2iiH/1r/4V3/qt33osn+XIqEVnc6aTI7k5HVO1jHKyj0gArH3es/k63Tgy3QnIvOjUMdVvaS48c21zb4VI3I7x/lLAXU0mziy3uf/sCmvdFCvC0xt91nczitLt6Qy8r+goWJJVV29wiAkN5MYL/3UWQDWlQmPtw5hwiEBWBptKqeulZfza5OFnnMVUykwTbG2TyEwM1jonUROCOgsRdthUTU1kULQKTk2u0k1MZjgmS7DG/8r0E1R6j+rfVmI41Wmx3I7InOdyL2NpOeNcuYT1cH03Y2Mnx3lPHBsKa1kfeog1ozsopn254kQnRSvF5mBGidAMN61OGjEq3FSzOi/cUDftFwrOeWC+o1ON1gHds60IxjMlJJ+F3/qTZ/n33/gA6Zy62wVe5njpxAEvOqysrEyRiXlIkoS3vOUtfPjDH+a7v/u7m+c//OEP853f+Z0z9/vZz3526rkPfOAD/Ot//a/5J//kn/Dwww/f+snfIFwLUIpouH/+PaotrI9qp6I9OICkHDuOcByXqqDjOCSQn9vIDhBDiGMOySyvfdGz9RqNn7MgtMDx4q4mE2979AxOG67uZDy93mNnWFBa2/R8mJ8nG9f5ZKWrmncp3IRcebKMqMlUTGYdJtb4S+exoSsdqJpESBWkN9LrsACxR08hta1bSGRglCKNTHWOfnwcmT7mVPnUxLp07eqkmhbU1bkoNck3xl/Fnp/q343WdP7/7P152GxZWd+Nf9Zae6jpGc98uk+P0DRNN9jQyhgGZZBXcQ7EXCExYoIB+UnQX15JrpiOVyLR1ygJDpdelz8IeglcJkE04VUbDSJhiLTMU9Nzn6nP8Iw17WGt9ftj7b1rV9WuZz7Dc7q+UH3OqdrDqqq1d93fdX+/9x14HGwGNGsenchwcrVHL3Gf0sW1PqcudpgJfZIkRWCIogStUzwp6EeGwBPMBBNEllPsGZ5c7XJuvYcnBfXALcVYC50ooRVWL83UA0U/cTK9jdBLUup71FdhBkMbWdkkL9KGJ3sRTzs4x4MXVsdeLysWHAmalF0QGxKJvUBiXXPGKZ7aePznnst1//lL1J546na/Bq54qcx3vOMdvPGNb+See+7hhS98Ib/zO7/D448/zk/+5E8C8M53vpNTp07x/ve/Hykld95559D+hw8fplarjT1/uSCzpnTGExsG0TtBtCAIl/bmmItfNSw/Q5JWFDjzujD7sMVKS+/Q+P3X6w1iKh0AYjJR2uvPYBR5n4ud4krP96sV+5pMrPVSHji/wlI7IknTQtpUqaUT+X/yZXwXfqfWEmRdolOTS4XI/1MRgA9TfXcM4xrTASrPBIwkwpzUKDumGFAMUeobaC14UlL3vKwzcVUuY/yvAxqQNcvLSMmIinREuDU4TC6TQbjMSKvmsdAMaPgea3HimgJGBpPtLQQst/ucX+kR1Q06NXhCEnoSJS3CWGZaAdoTRJf4xvBUx8mlNktdJ7VIjWW9n1KeHOuRZmYCoaj5ighBlI5m8i4f1uOUi/2BVERKwW2H5wF44NzKxEaoOmsGKYWYKEXaCNparGHTik+fP7mEGhnEodk6h2annY+mmAJc4QVxBTsCv+ENb+DixYv8wi/8AmfOnOHOO+/kox/9KDfeeCMAZ86c4fHHH9+T8e01VDSQ21jp+iwUXaDZWrlWHQ53m76cCJegeWYwXmGg8aTze3YPyyESUYb23UPqnZVntVn1ms2yE/Uncb24SkgbgnQXt+8rPd+vVuxrMvG5h88RGUGalbkccIiR3F7l9+Ve70eaRitwq5y2EDgNIe/jQPZquUSsEK7jdGI0OqvZLwZbDqREwlXLcf+vTkdaXHBT81VRkWmYtmyeWbfGdeMuJByZVCtXSImR7IZAIIUk8CQzNY/5uk/gK9ajlMeWu3STBGMN1koGTfgEnSjFCsvB2RBjIQwk9Uix3O0DgvW+Jqi5ik9T7A2+eXYN5TlicPPBFmdXu6z3R02g4zfXdqQnZihyI42QYtOqUJthkl+ijBaGDoIn+zHtJGUrCcSNYKxFWsFsbZABSzbJtmwVJxZbSLFVx9MU1xqio3We+CdP23Cb02+5k6Pv+yaNb65cnkFNUYm3vOUtvOUtb6l87X3ve9+G+957770bmrv3CvGCQdbcvclfk/idren2NyQUFry+8zqkzd0FpjK11DbJYiw8YFi9VeK3IVyxJYl1xbgmEIkyjAIC8DubxWvbR39Rcg3F6lc99nWk1+3HoPzCaD2wBYzO4LJECHI/g8A6nb+UyLwRXB7dVGoNB+YHIShKjxkLsXZZAVFsMjDpFCv/mdxIiIHkqThW8ZB4yjXTKwi7zc89fmUWnomiIZ+jHVLKEuEZjH5AKJxmvOYr5moBrZqHFdCOUtbbfaJEo82AWo1KvRKtiRKN7ylqvkKnmkQ7SYw1glhaQk9yoLa1TsRTbA7LoKDAoxfbpFpvKdCdtE0/0UXgLTJCAcPeCSkFUVXTu2wcBjCl601bRW1CDnlNOAP2+W5EN033rLweMPQD5Cu5a0JxYqFV3BNGcWG9hzaWo/ONyten2L+wSYJNXeTmPdrjuvd8mZP//DmV217/7i/hrUTI/lPbFzZJDLDTYz0VkMwYVFRd3WmrKGqwACoBuWqxEpKZkng5Hf53AVvaPzuGkdCfF9SWq7+E5dslJoDGadePYtNqGlv9LqsEGLskARsRCa/nqlwmO7x9T+d7NfY1mdDGIlWJAGQY/n4GaQXnGxim0nngJIUorYTaIdtEfpicDBTnKJGX1BgXYInBIfJzCmEZ4guZxyGXDOWSK+kpAl9Rt5rAV3Qjhi7Y0aZ5ZSe1yFlFJrGSQxV+inQJEkmgJK1QMVPzssALlnoJ3Tgh0WYgFyufJy+zK9xRjYV2L6EXpYRS0okSzq71XZYGS2IsjVqdVjAlE5cC5T4kW0En1jR9VcyDXqJdRq+8UT5HtlLpCEta0ZzOIOiXCMWqkEOvgSMie3UT9ZWkOdLhFLFVQmEn/h5u9BkYyyWrhjXFlYGNI3dHLn2vwlqCs12u/7UvZoTCcsN/+AL5zd1bjrdWVWaKKUaxzWDZ+DjTch5XjGYEMnIgLARr7oUky1RUBdXSUEEGBNaz9BcktWX34tKzBvfv3OsgbNW+O4NMswzGKLZAKKykuuu3qH7PQ8eeXrZ7jn1NJsr+iIHCqSorMfp3UVgohBQIKfA9V9FJ6FzWMEJJ8qpOQy/l5EEQG01q83DJpRtygpJnJgrykKcIyNvfWYywNAJJo+bR15KaJ7PMRc5q7NjF5U5dEk2VJFZSDghGngUJlWKu5tOqeYCll2pW+ylRaki0HiIRtigXlb9hMTindeTLz5qhdfoxa92Ii+t9Em1clsYY5us+an6aZ7waYCz8nduO4mX+gv/94DkutPvVG48Q4ipsdC/WCNYyElFV+m6hHiL6Md1k90W+hZgQ+AvwlCCdoKmVBQHfGdZ7MWeFmGYnrhWUV4dKEAaCs12u+8+uApB/ccI18xTG1JB6edA/OJBchssWVdXmxJJ1tGZHAbNFYH3L8jPc/buqFGz3KDSEwF/bfUQuLJM7XW8lQ7HD6aJiC2Jn2YnpfK/GviYTgzLCFR2sgcofh/zPLLK3OOOq7zmfQlK0kixdjcVOrhv2WFbOWpLUrejn8bcQg4BFZIojYR05yKVIFudx0BhSa0n7MatxQqcfIVXeAK+ie0CR4iilM/NzlbIVSgmsldR8j5maoqYUVgjaUUo/SYm0IdUGYxnxnAxfx8U7zmRZga84OFtjoRnQj1MurHY5ebHD8nqfJHXHk1LQjZwpfoorj++6/RgHW7Vifjz/lkPc/+gFzq7tRcfpcYwXDxjAyQo3P0Yj8OjGkwlHoOSGlaaKbN0I5Oi1sgOkxnJ+vcvp1fWh55M9IEhTXF0QBmpPtK/0MC459EKT+FnXF/9O0wg+vfl+0+Dq0iOeF0ON66IFQbhid2Re3hSCyopNOXSYeR02gd+xRXakCjIFFV2h+MBA7VzM4qPDndbTNOLBTXadzvdq7GsyAQxMA0XWYCSAsJRW70WRGcizBkqKopqT5wlEkq/tl6sfZeG/FVnjOlG0n8jPoY0l0U7q5CvpMhO4rEcRtNiBA0FbQ2wMPW3omtQ1d8s9FDgjt5KCtHgTksIsmxGJ3BuSV2ISwh1DSkHgKebqkkAJPCXR1tBJUiJtiVOnlbeYwWQuVuYmTO7sfFIKZho+h2ZCjLY8fn6dC2t9lrsR/TjF2Ex7LyVxatAVfQ6muDSo+Yr5RoA2hvPrbgVVAC+69TDXLwwvwRxq1WhcQXN8H0OMIWC4jKDFFqZyTwnqvprYq0TKzSs5KSnGOn5vhUhcaPc42Kox6XqI0pS1KCJKh8eWpk9t/fwU+xP64AzxHdehj8wNnkumWZjLCuGCdCuEWznPEM+KsQ7YJsD1W7hCkKlF6mpSka/HSg10LUlV/4tsu62UaFXxsObceGLT9+71Ia1Nfj1Yjmk9tE54YXiOp2bahHKn2P9kAsZcLEN0IlfqlDIEKgu2mzWfRugx3wppRzGqK7Nmb9nedrAvmQOhOMGAY2CF07AnmW9iWNokAFP0ntDGEBlDN03p6pSeNkRWZ+d00qFmoPA9hedJomSwxpvxomHjdk6TBEgp8ZWkVfOZrwfEiZMv9dOUXmKcqTqThtnc32E3IBCDoyOlC+xm6j7Nmkc/0iytRax2EjpRQlKYdAfH6ieaJJ2Sib2CEhJV6tYmhOsXEWRN1VxFLt+VPbVunpxYqPO0wzNXasiVuBBHrOiEBEOCRSEIrKCbJGChlw5W931PusvMQqx1can7ys31zSClYCfJsfUo4UCzVkk6ojRlPYrHiMQUU+xH6MOzxLcdGyIS28G0VObWYCVZSVOHZCbzayZ55r+8jXvOBFlTu6sItQuWYN0iE0cIrBAYb6AwLyvNVZyt7wqX0ci/XpkyVAJ3Iuz4dlaC3WwRKbakE8rlhksRzUfaY0Riq5jO92psu7vTJz7xCV73utdx/PhxhBD80R/90dDrP/ZjP5at/A0eL3jBC4a2iaKIt73tbRw8eJBms8n3fd/3cfLkyR2/CYEYYq7uufwVUeiqlZLUAo/D8w2eeWKRe249xC1HZ1FKDCRKJZJQHEiMH3nUimFxwU5iByZt95Kr8pQYQydNWI5jzkV9zvX7LEUx7SQh1hptDRZLoAQL9YD5RkDNVxlxyMlDiURkREIIgSclNU8xU/NZaAQ0Ao9EG3pJykovZqkb042SihK6o+9t+On8+wt9yUIz4NBsjVbNJ4o1Z5Y6nFnustqNSFIX5FmBm1HZ++9FKevRFlt4TrEplBRDD18pZusBB1ohB1ohM1l5VCUEB1o1DrZq3HXdwsTj1QKPmbpP6Fcs81yi7PNSEnM26tPVmgRLB00XTddoOnFCJxmfL4EnCX1HHrzsEXoSfwvN6UazEtvBWpSM7Z8TiX46lTNNsf+hD2VE4tj8lR7KtQ85/EhbjihYlT3y25lwJMIEkG6g6RfaZQiqPAdWXJrmb7WLluYZi9d1REImWZYizTINFWPxIovXd5KswWPzLthQ/R6E3sBnUUKVpyRYih2ROD/Nuu01tp2Z6HQ6POc5z+Ef/+N/zA//8A9XbvPd3/3dvPe97y3+HYxU9Hn729/On/zJn/DBD36QAwcO8DM/8zN87/d+L/fffz9KbSN3l2UdcnInyi8AeQdqZ7BWzDYDjs43ufXoDDcfmWWm5vGVxy/yxMU26/20WM0dHEYURxua0hWL+blvItG6WPG3GBJjiayml6R0koSu1kTGuN4NQ5WWnItCZBIsJQWhJ7P6/+W37JiEFAJPgq/cyrSvXMDleYJerFmPUqJYO/JQVKeyBaMeegsj7yXPxnhS0gwVrbpPw/OxWJbbMaudyFXKKWUfhXTyJilF4QmJEs1ar8olNsWVxkovRinBQrNGL07pyARjLP1449V2JR3BXI8Tnuz2aXoerZJcSltYTmNSYVkYue5X0piT/S6RGf4lSLGkWygP4ilZyjg6+dJGJmprK/xG+WtslI9zOL/ew1o7VCK2l5azcFNMsb+RnjiwayIxLZV5+eF1LV7PBehWWYwvsGJY+lT2U5jsFu31XZ8soQHrnjdeKXJKNcHJVViFzh3DC1HhiqV1ctyn4UiFxQQb31G9/uDL3cqCvNR2SO5Vfp4YTCCGMj1j5+uV4yuHxqnuronEdL5XY9tk4rWvfS2vfe1rN9wmDEOOHj1a+drq6iq/+7u/y+/93u/xyle+EoDf//3f58SJE3zsYx/jNa95zdYHk6fVhgwMlPJsAiUloa84ONfgthPz3HXiAMcPNKgHPv04QUhJlGr6qS48FOnA5IBbJsj1TBSBf+6byE4DuGZZriqSMyEnxtLWKetpQjdOSbR23RgLdmKHG+JZSztKSdIuNSXdAobIfBvZe5TSNbZz/R2cXEsgiLVhLUoQsUBrF8ibjIWUQ6rMAz4WSA1ok9OhB56kFfrMNwKUFKy0E5Y6EXGqMXkwmHtRpEBKUFkFKp1msq9U09vAQDvFpcdaP2W2NnyZr/cTHji/Rrvvvpt64FEPPPpJSj+ebMiWUhAGrjv7yU6Hk50ORxsNjrcazoekJIk1fLPTBgHPyFzWLc+nrRMe7XZIdnj3HN1NWwsafMVEQrHZmTYiFNpYotRwaqU79Hw9cNfGFFNM4eCCq72Ra1xLwdVeQBjGAmbVtzTOWVQWEwsNSlusYsyfUBichUCkltqyGfIppDXXDVokKXKtj+wlzP3Fw1gJZ/7RbQD0b5rBb8PsI3bTbtxbfl/5QuQG02Yjc7bUFhLQ4YQDWPfZDTXDY/Nu4lvBdL5X45J4Jj7+8Y9z+PBh5ufnednLXsa///f/nsOHDwNw//33kyQJr371q4vtjx8/zp133smnPvWpbZGJYpVeukAGm9Wwz4J0JQWh73F4rs633XyYb3/mIa5baCGURCCIYp/5Zo3Zmke7n2CVq4AkpMh8BWKw+l52Ww+MGEMXQ2oM/VTTThMiY1mPU9pJ6iRM1hSSCVFkPAYkyGYkRRtD31qMlrSUREpZrMAq4QKZmu9RDxTaGrqxoRcbUq0REpedkDIbf56dKX1m2fDLLTEGkia3+tsIPOabAU3fY72fcn6tRzdy76H8UQhAKIFULiOBAKMtOivHaQ0bVuOZ4tLC4vpL3HpohvPrjiR0E81Xzq7Q2yQDUYV64I15CM52u5ztdpGeJGiUMhEWvrnmKuDcMTfDtzptRwB2CF2RZRgQigpD9S5u0sZCNMHrk/eYmNTQboop9hNEP0ZEKXa0V8sUVwXqfoyuQdRx91YZW1qnLXKbCX/Vt4QrZqxyvtfPJEjn2tQ/81DxvDBw/L0PAHDynz2T+VMhwuztPW8jy+ZWZEyFHH0b+5tAYnyJTKZezr3Gnt9BXvva1/J3/+7f5cYbb+SRRx7hX//rf813fud3cv/99xOGIWfPniUIAhYWhlNoR44c4ezZs5XHjKKIKBrk1tbWsnJeAqQSzDYCZusBqbF0I5cBkJk5tRl6HJqv87Tj8xw7MEPN8xCeIFCSWqA4ttCkGfogeuQeBJctEBTG6dz5nM38siMiaykNuCAj1ob1JGUtSYkSZ8i2Q1WXBpkJM7K/EHmfbNd3wkpBLVAkCYSeohkqQiXoJZblXkI/TtEmG4a1SGuxSqA8J4PSmKHA3zI4nSid08mqnExqtu4zVw+JU80TF7us9WKX4TASZO4pEYNVhexj0engs8p9Kp4U0+o2O8DE+V7CTM1HScFs9mdc+pyVFMw1AgKl+I1/8CIA/vN9X8Zay6ceOU9/QnWkS4Wvra5j1S6i+w121dZitaE2ki3YWm/w8d8ia9nw84kyM2DNn5KJrWIr83mKK4Pga6cAhkrCbhfTUpnD2Mp8D/wEKSx+TUKs0OlAnySERYUaIS03vvwxAB783zdjLbQekojLbEO8/re+Tvc1d2E3KMO9U5SEHkPw+psH+1JbRMSY0XqjClH961wxkvrJ9ckbbYLpfK/Gns+ON7zhDcXf77zzTu655x5uvPFG/uf//J/80A/90MT9NtI/v+td7+Lf/tt/O/a8lJK5Vo2XPusYxxeaLHdiLqz36EWuwtByu08n0QS9BKUkINAWPAtKSqwHSikiY9Emr8KEm9xmeCVUDEo7DS/p52F6LnUyLksgS8Kh3NghhHVNvEz+focPV/YgGGtBCg60QqzWeFLRiRPOrMXEicGITLhnB2Ow1gVXxoLnCRJT0lANDVk4TiOdP8P1ofBphgpr4exKj5VOhNau6pOQYEXWCI/S2HF+DuveENY6YuJ7gkbNI/AV61PPxLYxab7XAoXy3I/Ov/juu7hh0RUD/8tvnuYTD5wl1QYpBTcdnOE//ehw0YP/z6vuAuCTD5+7RGRik5tint6rvMbza63Q/w1hM2mUFBCE416rXn9rWbFy0nFSGdrRHeyktzLFGCbN5ymuEhjrzE6bVMiZYmuYNN89qZHK3V9eeNcDzDZdtviRr1zHo187hjEShCWYjbnhpY8P7fu0Fz8CwPkHb0Qnexy2GYvQu1ypFwMJ9U4gR267OpSoaPtj2kqpWYTASjHtXr/HuOS5zWPHjnHjjTfyrW99C4CjR48SxzHLy8tD2Ylz587xohe9qPIY73znO3nHO95R/HttbY0TJ07QqAW84PajvPSZxxBSstaLSdIZVroxX358iUfOt4kSTSNwK/SeJxHWyZhibQiUZKUX0411ERyIzPycr/gDxVJ+mTsM4IhETgxSbTDGUvM84tRicIG/BUpWA9z6vVsXLVeMkVLgSUHDU7Q8hUKw1ItZ68bEOs26fucZhpF1VeG03tpYQk853wSD8YpS5kUI1/U7rwBlLSy1Y1a7MUlqGKJS2U0iJ1jluNBaW9CmwHPZnsBXRNrQ6UT4W+lONsUQJs33X/m79zDfrI9t/53POE4z8Pjol5/g9mPz/NKPfPvEY6tMjraX1ZqUr/Dr/sYbJc6wjw+jHetsaqFYiRrKE2xtABOmWL3mbUgo3DVp6I+kvDeTMEWpK65QD6beia1g0nye4upA8I3TiCghuueWHe1f/CbsAa6F8G7SfH/lt3+ZcHY85Lr5zlMEYcI3//ZGagt9rn/xBpUtL8Etxz+5RPiFxydvIMBKZ3aurBwlQWfm6/JC+06JRY6tEArLsKfEys19Ef3jLawvaTy8sqNxTed7NS45mbh48SJPPPEEx44dA+B5z3sevu9z33338frXvx6AM2fO8JWvfIVf/uVfrjxGGIaE4Xhf9xc+4zAvuf0orUZIlBoatQCsIdJO02yM0+8n2nBxPcYYCgmQq9cviOI06wJt0Tqr2iZFdbwlRsu+5s9nDynQuD9bgUesLd3UYBhkKGShMRo0sHO7C0JP0fIVNeVM1EvrfdqRIU1TrBGDykzZSUsKKXck6wiLNpZG6CH6oqRLdGOXUuJ5kpavmG/6KARr3ZSVbuyazuVm8xJzstrJycYWiDPZl6ecHMv3FKkxrPZitLaZbGuqTdwuJs13T07+JXn+zYd59bOu5+ZDrQ2P/cF/+l38+Pv+ikcvXL6OvlbrwcWSZPPLE6AENjEw8QdDkJiN54/vSZq1nd3GtDYTvRGb4Vr6EbjUmDSfp7g2MJV9DGPSfBdy8l3juqefY/HmZc5HG9+/D/3Dx7jwgROkS8GG2+0l2t/zbcUCUB64i+w2bhSYCZLPLWUq7M5Jh/EEaf3yz5fpfK/Gtn+F2+02Dz44aDj+yCOP8IUvfIHFxUUWFxe59957+eEf/mGOHTvGo48+yr/8l/+SgwcP8oM/+IMAzM3N8aY3vYmf+Zmf4cCBAywuLvKzP/uz3HXXXUV1p63ixXccp9WoYSGTKYlMzgRxarNGcM7UvNyO0da66keeawAWJSlR4gJogcsqCCEzM/HAvzD4ugfZCVt2Doms07UUGEEWkDvOkPWicyVfGZRNzfcWQlBTktnQp+l7RKlhab1PL0rRxmaVAyyDRnP5AQeSrDKsde/bGIuSAqOdBlNmmYj5Zo0DMyEecLEdsdyO6MdZp+qikd1wtkSIUlZFQs4PVOY78ZUgNZb1XuLGPBgNydTodNWhE6esx+Pys1RblDd8c9O7rFVuJ3lmUguxcfKKDeBLuSmh2Aj10KMXjWcnktQQT0jtb8VgHSUp3QoTu556hKbYhxB2XGoy+u8prg6MNr8ro1x+Fcb9BNtF+3V3V2Z+rQDricoO2KPb7SZDMSk7oQMxsZKT8TfPTph6QHpkfuz5NO3DYzsZ6RTbJhOf+9zneMUrXlH8O0/n/aN/9I/4rd/6Lb785S/z/ve/n5WVFY4dO8YrXvEKPvShDzEzM+jC+2u/9mt4nsfrX/96er0e3/Vd38X73ve+7fWYAJr1MOtCK0m0xvMUqbacW+1zbqXrTKnWoo0rqaqU64YrjQUF2hi6/QRhLUo4JQYq9wO4sL+wR+QVnsj9E853QC4byQwP1lhSbdDGZDX5M9mEtQxqIbnKTDUpqCmFsBahoWc1nSil008xxpTqGZcJhMAWdawgLxmbc5tcupFog6ck2rEJaoHHdfN1jsw2CH3F10+tcGGtR5wOqkzlmY7ilOTSr+HnlRLUfIXvK7SxdGPtGtdREm+J7NObLuFeVfi+3/gzzq5OLv86ipxceJ5ET/xVsGwicrokCH1JPdjkFlbhp+j104lEIsdGhMJYjbbTSGuKawPJM46T3LFzA/ZU93H5cO73b0S3tx625eRCmMkZhNEFpCFcyoXzLWYl7IgsVgcCs8kPzkaEIlhNCFeS6ve2lfc7ne+V2DaZePnLX75hV9k/+7M/2/QYtVqN97znPbznPe/Z7umHcGGtS71mmKn5WR+HmKV2xAOnlzm/1kVrg8zKqR5frFPzFOA6UhtrOLPU5fEL6/QyeY/NSUL2sBaQdvDvwrCTZS3yYCMP5iUZeTFoYwtZisFmF40LUOqeR0M6GVYvSumnGiUFrdAf5C4qDat2EKCLQSIhHxPYnFugjcvCJNoS+JLr5hsoJVlNUvxYs95LSPTAG2GxpeZ4ovivzDMu2r3rWqAIs7K0/USTps4jYk3uBR8Qn/y4U+wN3v+pBwkCn7/3HTfTCofvpl85vcQnH3oSIeDIbJ17X/fcsf1/9c+/yHI32tF3stE9Nk00PRNR8z331Wcdte0eNXeb1Ola5RUBNsFoAq9e8xBCVGYsNoO2GjMlElNcI4jvuoH0liPTagKXAff9zV3Ieo1X3P01auFwZvjsNw7x0P+5AWvBm0k4/ponxvZ/+C9uptaTO1vp32Cf+IZF0uPzCG0RvYTmX34dpKDzmrt2cKJLDxU706jZgdIrXI7x16bl6i8F9nVx6a88epHZZoMDM84zsd5PObPS5vHza/SiGKxFKcFM3efoQsOt2mdZiOW1Pp/9xllOLbXpRAlJmhGAzIntOjlnTudcajSGstTJPYRylQKMtXieIrMruKpJUtH0FNZY2r2EKE1Js8pOWkq057IZrqyrHY+CCn2dLdIIBb0pOtGJoqpTw1dIKTjQCvB8wYUowjMec8Ir5Ejl0reDnhR5J24KEqWEYq7pg4BekpKkrjGfNXbg5SjKYY18RFPsCWJtITX81/sfKzzML7r1MCv9iL957AJRVonoiaUOP/+R+/mF738e1sK7P/ZFwDWre8kth/n0IxfoxHtXX9CTrnlikZ3LKyJlFcl2A+GsTZVIXWdIAn+yl8Rs0AV7M4xmJ7RNi0aQU0yx3xE992b09QdA7dLVu4ca8i21Rt6nSLRCasUnvnS7+70GnnXTSfSpGk986Rg6ziTaKyGn//QGjn/344Dg4b+8CYA08ugcgcY5s2fN48D9xiOlk095is5r7gTAhGpr/R42OvZGN998XXSDbeQEme1Y8ZkKjGYnahdjvI7efbJlOt8rsa/JxBcePk+tVuOGg02avsfFbsSZ1Q4r7T7auHJMSgpaNY+an2UlDMSR5sGTy3z1sfOsdCKiRBfBtbYghR2W9sDAo1BYC0pZg5xIZLImYy1xqvGEQCEIlEdNOgNFuxcTpSYzfRts1knbFNkM14E61SNx+Kg3oojby6Kn4Y2aoUcr9OhrzcUooZtqagiE7w1vOzKfRf7ms6vdUxJPScJQsdzOu2APjyvfp5SsQVxL7R2vInRLK+p//eBZEqMLIgEuK3VypcvPf+R+js3VWC2V5w19tdv4fhxipGncHnzvYUYQ4rwgQCWGHU2j2IhIhIHLnmyWnZClcplabzCUKabYbwh88LYnLa7CQI67ezwVfjL68SCr/NDf3IC3JEmj0vdgIF4NOP2nN5A0Ie0PwjR7qSM2AWazynxbOUxVcb5tQqZ24v1WZrdtvUl2QhQrprjMyx5MsOl8r8a+JhPnV7v4PU2SphxuhVzoRKz0I5JUO+lNtlgvcZmAfpRitWWl3ePBkxd5cqVDXBCJgdnZ5uVTs/M4+U6eCagOX4R0wbw1brUeawmEYNZXGOvkTHGiSbQuVvRzr4WbUM7E7AOBkkRimE04r8SgDGvun3CDyiVOLppXWRfrmdAjtoaVJKGvNcZa0szELaXrHA4U8iaRV2xwR0VJdywr3X5CgDaZGTvL4AhZzo648RSdvqWY2Dtkir3BepS4niQjMMbyxHIHWbG09OzrFvjy6RXW+pehB4hx2QmjTeUPg5KOrI5C5oxnk1rgxlji1BBUSKE2XBQTpXNMgOcNkyRfeaSk2ULFFFPsb/hfewIE6GMLV3ooT1lEnQBbZWEzEK8ExBVdp/sHBLWl7XfB3glyA3XSkuOL6AJEalEV48izDZsuvG+UndjoBl6QhMknkAlD0Xo857vF0f5UpnopsK/JRJJorEhZ6UAoBZ0oIR0t9Widpntlvc/B+ZA40jx+doXTF9aIkqxvQxHQu9VMYUsr7dkxnB+idFwxeOQZCZEZq30hkMJ1hY5iTZSmJIkmHQ1CRjpfuWyFJPCkK207UDNlpxxkHwZ/d54GKVxGI/QckWjVfHrGsJIm9LLSt+BM5yIjCXmgP6g46lYCpBBIJRBSYoTzmFgNaWoKv7ktv/98LNkFLoRAqKycrJ6SiasN842AO47O8c1zayx3o8132ABKCvxNZBJGm5LfaARSut4XE+BL4QojTPhlcR0fBLZU2UNEdjMOsimUGifCBXmfYoprAHKth9iDpqLTUpmXFzoU9BcgXLGo3d2+Xayz0dqIgKQh0BOSFcqIjVf7N1cjIdd7hF89nR1Q0L/nFsQmVf42g0wZa0pnfIHdyGy+RUznezX2NZlwfRUsUarpJTrr2AwDu4H7X5SkrK73WOvUOHOhzbdOLXFhvYc2pshIDI6ZBeijMqfScQf/yRvAgSckQSYHEgL6iaajNf1UkxqdeQvcgUTJoFw2K2vrtvGUK09rrNu2yEYw2Cdf9feUIvQUNV8S+LLYN8HSixO6Ni0aZYu8GpV0npDcF1E+rpQCobIsjLVFF2xrIE6zClWSYZaTZyNz24TMshzWBZJTXH040AqpLyuWS89JwURiIEV1xxCZzaWNMJFIbAFKCpIN9hdKoOpy+EfCgt1C91RPCcJAEY2UeFVq8ntSUjoCM81OTHENQJ1awjRDTEWZzCmuXuiacJKnaFT/PGGHcRX0YPtNtDZ5Q7qdQNiNsxNypUv49TN4TyxlTwjCwCN55uZNLYVxpMGMRLEyZSIZSesKmVrUNDux59jfZCK7OoxxjekMLvDNg3JwmYZ+knJhrUv4pORbJ5c5s7LGcs91ejZFoFKIdYr/lq8zJzGygy2yQFwpRyJ8OcgmxNrVsNcarB3pJj04xdg/86BfZpkDY2zW8G6wSirIGs8pSRgI6oFP6CmUElhp0UCkDV2tSa1BW+sIg3GRvs0YUW70zi/0ojO2FBiyilcabB40WUGc2qzcbakPRSYNIyMRLghzpm1jwO5yhWGKAc6sdvD84Ut2pp77gYZhrWWtH/PEsuHEQnPs9VMrXdb68ZBEysKGWYJKed8mY94NkdgMQkm8mkSNdKK2vkBYgY23cG7p5u3QUxt8BlJKPCCFKaGYYt9DnV8DIIGdEworNo4Yt3usaxVV9q8NblFCg9eDtD7+mozBSIZ6LQgLMtnogNsaLcDEXg57AbncIXjgyQGRADAW/1tPgueTPG3zKmNu6o1kkDdYwNQ1SYxHADsnFNP5Xol9TSZgcH2m2oXdebYiz64ZY+lEKSeX1rnY7XFmqU0/Tljrp8QFmSgFVHbk4ORmZ5E7rzM/gesk7SuFJ11wHWtDYgypcZWOnOuf4iIWGQup8hHk5WeVlIS+R903xRiUEnhSgXCVqDyl8DxJ4At8T2EQRMYQp5rEuoZ1iTXFG8gsGdnfRZGdyAmElAPvg7YWo93Kq830mrm6Q1tDoLyBydqWxi7ddoXvJAsiryWD0ZXGE8sd1Ihh8uBMjcOzIfUSyTDW0oljlrt9lrt9gizbcHimjhBwdq3HN59cpR0NlwTZ7Luquu1Z466xSQF4lZ9jO1CeJMi6MyalnigFkQgnSKwCiTAGO6EaiMtoZo3r1PZu6FJKPDElFFNcG1Dn18BaEiEwh+e2vf/UkLo1CNwiRxm6btF9MSZXEiYjEx1b9FnQAW4RMwEVWayEtDbYR+rNm7WNwkrcmCZ88LttepfUKeQPKrKFpConEv5jFysGBf7XTmJDj/T6A5UVAa3M+01sf3y6JomFR2BtZUO8zTCd79XY92QiD2xjbfFVqT8EuADYWNb7CY9dbINy/okk1fRiV1GpMP8MpQeyQFgMS/5E5oXwhcT3JL6SWAT9RLvMiLXZPrncqjTRRaYtzPwIMmsIIbPu2TIrrznfClloBPieZL2fYIDAcxWhjDVI6QiBFhCj6aXOQK6NyybkJeestYW3YeCuALBo6+RKTpLlxmywaG0w2g5JsgC3emvdZ6lULrzKKl4JUTonbv+cZOx52aApRnFhvU/oSZrz7lLW1tKNE5Y6/WKbbzy5CmQSHWv58qllesne1NrWxkDqmtpt1jW6Co5fV/+YSSUJQreKBNDtJUUmUYYCMYlI5KhJZK/6xyLWhmhCH4wtyHyRQuJJxpvfXUM/DlM8daAurMMDZ4gXZ4vnxAQiPsXeIZ4DsPjr2cKdBq/r/szhr2e/r7Pux1z17K5LthYQYBQII7A7KOwluhFyNcHMj2e/0xCihcE9OlgDmSkVgtPL1USihODzj5KcWKxc7NH+ZCJhldjUc6FDSTzrU7sw7BkazXJMsXXsbzJR0uwn2uArhSRfSXcBijGGXmyJtUUo5xtItQucsQOJQyFryg8tBoGOACQCJQWBdLImK6CfrWzqLLsh8o5xFQOVOOmS50n8QKKEQFqXZZDKmadnawGHZus0AoX0QHiuNKYQAoMg1o40pNqSCjDWONmTzWVHZtjLkH045Q4SWBdwBp7E8yU6K/Oqtc2IxHDGoXCg528t80XIkkG1yAaViARy9BOd4lJBSlHIk5LUcLFT3eH6q2eWWesnGzad3Am0MZBkTeRGMMKnhyCEQHkS5Ql0mdtYi5CCsDZ8e2qUShYmwpBuMrcEZJmL8R8IaQxM8J5qLN4mdMJmGcBRGdellHVNMcWlgvUVIgzxO4MoVqRblIHs5W3+KXj5xLMQz7g37vVg5pHqe0+wZsf8AXsBK8EEorLM6tD9e+R7lt2E4MFzBKfWiZ5zQ/akwMw10D70Dwz/HsSzmcQB8GsQbjIuvdhw3pCqzPEG60g6EHi9TX4bjCM2o8fekiF6Ot8rsctuNVcWeZBsrc0C+ixAUdKtoMv89Wy1UQh8KR3RLUlzyP+dm52zUkVCZNWZpKTuKWYCD19J+tqwHiX0Ulcm0lpbjKOYZ3YwSiUE9dBjsVXj4EzIfD1gNvSL/hcSVykpTg0r/ZiHVts81u5yJoq4ECVc6Mcs9WPWY+2kHtqCtgjjViissWAs0gzerCh9RiPebWeklQIj3Oems2o7uSQrly25vztfiMjKOFlsQX4QjkTo1GBSw0BZNYlUTbHX8JTEK2WABBSd1y8XZCbPq0KS6uJhrC0Sf0IIwlARhgohBV4giwdCUNuDWufKwI6Ewmw8fS2gtSZJ9rBz1BRTXCFYT2GPH8LctrnpdYpLDOGarV1OWFVNJADSuigeVlI8RJRS/9Ip6l84hTq/RuNjX6Hxsa9Q/19fR/Qieod2/xvUfvWzsDttqLhBhkEY8Lp633bC/sQnPsHrXvc6jh8/jhCCP/qjP9pw+//+3/87r3rVqzh06BCzs7O88IUv5M/+7M/Gtvtv/+2/cccddxCGIXfccQcf/vCHtzWufU0mbKkcab7aqrJA18mss2pIUuB7kkagmAlUZiIuy3BE8YfIul97UhAoSTPwmAl9PCnpJJr1JCHSGpOdu7ziX/wlC6gFTko00wi54UALAVxcizi71OXUxQ6nLnQ5eaHD2aUuF1Z6nFvtcmq1w5l2j7V+QpK4IN1oRyBE9lBW4FmBb112Q1pQlgEZygczWAjAZUccEmucRyLPKGRdrAeVL20R8ClPZlWfBL7vKj0pJV2X7WRAIhyHscX+xecwJRWXDEoKbjrY5MjsQDgbeorr5lt7fq69+BrT1BTEIghk0ThuFF6w+9vSbpPVeoN3nCYpyR7JxKaY4krCKom96Sjmadft/BhZqcy9ejylMPIbmdagfePO77b2EkZ0aW1ALOqff5zaV8+ObSOSlMb/+6Vdn8uGu2umOMnrISz4HY2/vvP795We751Oh+c85zn8+q//+pa2/8QnPsGrXvUqPvrRj3L//ffzile8gte97nV8/vOfL7b59Kc/zRve8Abe+MY38sUvfpE3vvGNvP71r+ezn/3slse1v2VOecwqAOPKmCrPyX5S7YJcVz5VMlMPaIaCTjcuGrC58qcDzb/MSq02fI+aJ52hWVs6SUqsjdsuM1GXy6G6Bf1sWT9vIAcEvqTV8GkFHmudmPNr3SKDkh2F3NEtrDORq1Q7OZa2yJwgFAF+lvkQeRamxAYzk6r7PLKu2sWdKnM5ZGw90YamVMPVafMKTXmGJ69yY0H5sjBrp9o4/0Ti/BXue7ClhYBhxfm1ZDC68hhih9x2dJa5CSv4E2wIGx9dOMOzHu3Vsumorr4AQFU0e9oLxEmC3qr8Y4oprmYIgbntBPb4wd0fa3qf3z42WmwTG7w2AdoX6BDC5ck7VjaHuxK3b5kFL1U/NQLWfui5uz/H6I+gBX8txevuwf37Cs731772tbz2ta/d8vbvfve7h/79i7/4i3zkIx/hT/7kT7j77ruLbV71qlfxzne+E4B3vvOd/NVf/RXvfve7+cAHPrCl8+zrzARZcJ1flElmhsylSlK4hlqHZuu84GmHOdyqExe6fkHeM05Kie8pZuoBh2fqLLZqIAXrcUo7SdDWDLpD28EqfOEtGBmWFIJG6HFgpgYazix1uNjpO/NoPgntQBaVN8dwvgPwjMAzAmUHD2kGNwJb+jPnN4V9JFM15frGwi+RExIgMTaTpohBn4A8OZMbwpVEKYkfOMO4Ti1xZOh2k+KcBUreicF3Q9EJfIq9wbHZBsfnmsUj9KpXb3wluenA3PZPkHlklC+LR2wssbEk2WP021RSTpQ4XUp4RuBd4oaIo56MOI6nRGKKawb62bfsDZGYYksQiRh+TFiz0QGs3lb9u1lJBnBSJROA8QS9Q7J4dK4bfox6LrQ/WeJ0KbH+ohOsvfTG0fUxhz26rac1MSR3CleSvSES+xzGGNbX11lcXCye+/SnP82rX/3qoe1e85rX8KlPfWrLx93fmYliTdRNGoMLboQUaAtKSI7M13nRMw5zbLHJt86ukHshjLVFeddW1jG6FnhIIeinhr5xPRqKtMFAUTUhQHYjUVJQDxT1wKfTSVjvxVhhCYpeAKWVe5FlNDLPhrGuIpMavCtk9jDZ6xZH6u3IuS2DQK98fY7+KcmqMgWlLtjCZVKQIhuKQCpn7NXWovsakzoqYgB8ikxF3kEcBsmRoRNOl6wuGc6txhyY8WlukhK+7ejgppHqcQHPufUep1c6WzpnWsqsKSHYXTJ6+zC5AQoc0TbO+5N4pXFJUb3itU0IPZA7JWky6LkyxRT7HPrbb8fOjlfg2QmmHYF3CCMQ0m7aaiCtDzY4/IGvorrDXq32sw+x9oKtydS6RwcLP+GKRe6yg/Z2YUvBSefbjtL5tqMEp9Y48Idfd096kotvvAevvwdxg4U0dCdsno52VAa28rCXYL6vra0NPR+GIWG4mUV9Z/iP//E/0ul0eP3rX188d/bsWY4cOTK03ZEjRzh7dlzKNgn7nEw4FKvpUrI4U6MeevRTw3wz5Lk3H+C243OcXe2xHqVF07XQk8zWfWbqAZ6SGFyVI23JOk+TyaAGwYvIg/bReZ7NKykFzZpHoBTr3Zh+lNXFlxZrDUpCVkRqEMCXezTAoD9DduhhT8agdd5gq5xIlOlEIWwaxPZZxk+Rvb/MGyKVcMfM5Fl5qVpjLWlqnWej6Dlhs3G6vgLCZhozO/w5lYa2oRFqiksHJSVPP7K4+Ya7gLRAatHoIptVRqx3rktNUo1fyryYDaokCTHebM96IDY4ve8paoGhH1evVAk9ur1PmibTvhJTXBNQf/MN9HNuxR6cv9JDmaIClmEScSmgAyau9Vmx8/MLbTj6ns9w9m0vGBxvg+R1emSGpR/79uHnamJjQjGspq5+vYTO8YDGk1dvZuLEieHiB//m3/wb7r333j0/zwc+8AHuvfdePvKRj3D48OGh10b7n9ksTtwq9jeZcI0Ois7L842QW48ucNv1c8y3Alp1n7lmjVQbnnximU6kEUKy0KwxU/Ophx5JVtq1qAaV+R2kzEufZg3wimB/bBBFzNwMfULPox/rIkgRIq/0RHG84vvJu04PGZ8tmJLcr5AfufK0DJ7C4rIxeRGl/DDl8cri3O7fruCTy4Z4RUlRmZnZHVExNus5kTJU7jWXQ2mDK+dpBbrUSGxw8my8nkDstBrDFFvCUjtBG5itDwLvnFxfTlhj0XZwox5trrdlCKhJt29+tI2IxIZjyu5uo6QiSTRpavGUpFl389Na18dio/rtnueT6hQzoT/FFFPsJ8gvP4x5xg27lzptpP3fybGeSqjITsgEmqf25++mDTzWf+DuoUB/c1O4qMzO6MxEraKRhUqR+T+rFnUnzh9B77BP7aLYlfkauCTz/YknnmB2dtDj5VJkJT70oQ/xpje9iT/8wz/kla985dBrR48eHctCnDt3bixbsRH2NZkQMjcnC2qBx81H53jOLQd5+nXz1EIFCOJUc2G1z2NPtmnVAlq+h581OxFSuP4KGYEA53cgW+mUUpDqweK6MZlJIZ/5giLiDz1FPfDQ2tKLkqxpXBbeZyUx86xIzj7ysZe1QbkfQ5RPQZYNwEk6YEA2RlVFlsxHkQf1iMKwXXATa9HWZr4IgcFircBYU/SaMNr5NyDvbiyKv2sMvpCMX/+O2Cklsz4UboV5iksHa+G5Nx7k79w2uOjXejEf/sKjWz7GwWYNKQQnl9u7HMzgrzrVyA34hC8ltUqiOfDvKJy/Z7ewnss0xH3tfElQSBVLvJ5G3afXmZZ7neKpAbFnnrYq4ftujvXUwm03nOHmE4NArr9W4/6Tz9ry/s2vXUSkhtWX7G1p342a2PWedyPpM64f30cIrOfu67WLht7BnZOifGbqUDhCIShFahvsMOllIfZoeu39fJ+dnR0iE3uND3zgA/z4j/84H/jAB/ie7/mesddf+MIXct999/HP//k/L5778z//c170ohdt+Rz7m0wgEMIFrscXW9x14wFuOT7P4cUm1lrWewlJarm4FiEQHJypD1bSZeYByIMK4Uqn5n0ZpJCFdGKiTSIfhRDMNUIk0I4S0kzLVHSRzq4nJw3KJ/TkFJK1Fill5tkgi+OzrAaF4qmQOpULwpazf/mUV4BCDBVPSIwhUBJPShJtscYRiZxE2Iwk5f0lsKIoJ5smliBwBvf8PTjZFAXxMNq4ZnjbrAw0xfbw3Xddx3fccoiGP7iU421+5uWmd1uFj6CKThbYJA1dNJa8TIgj1yl+o+BpK8NRGUOaZiemuBYgHz7tCPaJw5tvPMWe45m3PsFNx88R+IPVcuNvLywTqUFu0w/gdS1yQtPOwYEnv2R9haltTBT2qku3Bey4UXRHiOY9LBDs0x4TAO12mwcffLD49yOPPMIXvvAFFhcXueGGG3jnO9/JqVOneP/73w84IvEP/+E/5D/9p//EC17wgiIDUa/XmZubA+Cnf/qneelLX8ov/dIv8f3f//185CMf4WMf+xif/OQntzyu/ZlLyyAz3X8j9Lnt2Dy3HJtjcSbEUy5A7kWa5fU+59a6hRciJw+eEIzl1govtCsn62cGZZt5ApzXeBC4Q7aiGXiEniJJDXGihzIGeQZiIBWCwpBRbDMIxrNEBlK61F8+xFyihM3+LFIRef4j6zJhB4QhD/bkmBbOde/2pOvEbU3ezZeSTCmXyoiiG7jNyEYuO/E9ie+7Ttqe57RNWluSxLiMjxn0/5ji0mCm5tMMhn98WqHP/3XnDZf83JeDCozO3Z3C2I2JxFYhhEBJhVKX23o+xRR7DxGnyMfOIh/dutFyDHaPH08h1IJkiEgAhM2I57zym5f2xLl64VLjKks0GSWI5z3i+V2so1/h+f65z32Ou+++uyjr+o53vIO7776bn//5nwfgzJkzPP7448X2v/3bv02aprz1rW/l2LFjxeOnf/qni21e9KIX8cEPfpD3vve9PPvZz+Z973sfH/rQh3j+85+/5XHt68yExSKk4Mh8g+sPztCsBaTGstaNWW3HPLnc5cxym3OrPRKt0cYF2r5wkqVUm8I4LO2w5EFJRyjytIQtk4hCQuS2m2+EJKmmG6VoPZBPuLKzGSmwLlgXCjwrsqyIIwsKR4p8pZAqbxI37JvICkqNZzNyPRMMXbj5sy4zITICMshiaG2QWVUm96acdjPLJWZlXcn+nn8G7jkhnTTKUy57ohPnORkQrvKQrrK7yT7G9z/3JurhcB2/mw6OV2TxpODwTH1bxxZUd7GuBwKhx+94okRCKw62p82T8jl/tRDThq+oe37leNJU89AVGNMUU+wUydFZkqcvYmeGw4E02dfhwVWH5z3rQfzm8P17rtUd204pw+zB7UlOrQJdIbO3ElRFxSarBEZZZEWC1QrQe2n+LmuwrwJ47ZRgOUbG46kTuYuiIZcLL3/5yzf8LXzf+9439O+Pf/zjWzruj/zIj/AjP/IjOx7XPr9buH4OC806nlJYoNtP6fRTzlzscHqpzYV2n06UFBkJsiBeG2cydl5kF/3msiEXtLvSl0ARIBeHELnEStCqBXhKsNpLiZLUERxKSQ8xkAwZmwdtAmNc5ShwwVIz9JlvhoBgPU4yMjFI7ZU5hCzOX/Jl5OPOsxEIN37pZE5WgM7OryHzdFB0ApeAyQdd6idQlH61LvMhvbx5nUVrTaqN+xxL+0wJxKXB0w/P0qwP/2LUJnSL9pXkJU87yicfHKw45tUZROnfFifNW+lGld+apzJpXgVG+zAMQe7+l2Osj0teECF7XmWd6rWw6L2oBbtFeFLQ8KszE+m0etkU+wxmrk5yqDX2vN5q/5i9zChcJQHnpcCRAyuEreomo6NQvua25z/KA5+9qXjuzhc8SOtIG5G4e935/xHQ+bqif8MM7TsXJ3ocquRGNq85P0GtOdqPYieIZ0c8CoVGezCGS9mxexJUbFATqjqNVvGrxHS+V2JfkwkhBAvNGgszdeaaAVIKuv2UpbU+51a7nFvtsd6PXWUiM2AEOiMTRbUkM5jzpghgsqZuQmRBf5ZxKF0QSgpmaj79WNOLU7TJS6dmJuhCIpUd21h8ITOCMfBAKCk5Ot/gaUdmibXlW+fXaEcxSspi5TfvjTF8bYosOHSZB2ld1+ucYvhSOh8DAzJiEUTGFH6HXCpmsAgtsJgSeXJ/ybfLT24NJEaXMhE5kYHy3aOq4MIUlweeFDzz6AKffPBssYph7QjRyzJeUaJpR9s3HkuZlSk2riyxNqU7sQU1IeAGWKgH1AKP1QnnzYqaDaGYXwKUcIRJSYEqlgEgGtlLxu61wAoSQWlRYWeoeZKat6/VoVNsAaYVktx4aPCEtYRfO3XlBnSJkFw3T3p0l8bPsh53t3gq9ZnYAEoZjt92jgc+eyPPeO5jANz8zDPIOwf3N2/B0ntIcTpY4Fw4s+1zGCXAZNkJOyAdAuepSBuTv4t4zmVD/KoEioCkKar3z2MI4fa3EoyAtOnG4I0marJbrfFApuw6oPDXE7zObqs5Ted7FfY1mWjWAm44PMstx2a5/lALC6x0Y1baEeu9hH6aoo0r/ZqaQYlWWwo+xnyggwQGArfymQq3ap/nLshWdxuBj5SSbhSTlE2vpRVVU5r9FheAmSzoz+VFNd/jhgMz3HH9Ir1EsxontM+l+NISZQG5l5GaIZlV/gCkdZWeivKxQqAQeNIFjJ50r+gs4xFKSZB5JkR2TGutKwVrBoFnXpUJK7A280yM9pRgmEgMqlSV/5ziUkBri5YCNeFjLghfBfJiAzvNJEkhMBjSjFhqU7pJ64ysjgTe1801qHmKG+ebWY8Ty1o0fnPfKM8gcPM5N41LBLWCUjgkiSM2KsERm6z8gBECja0kFTq12QJA9QcWepKZQBFOyx1fs9DzDcyBFnquQfL0o4MXrEVGCf5D567c4PYYyfE5omddR3rk0lWRmWLnEAJueuYZbs/IxCgWX5HAKxI630zhC9s/vlWABhHjpN6ltSCpwUpblGfNoUOLlaDruRTKVhKKpLXxb0o5K2GlIx+uCqW79+bSrMIzmpf5zklPxUpTLvNS/epz+u2U2oUYrzMtnnEpsK/JxG3XL/KcWw7zzBPzzLdCzq/2WevGXOz0We3FxEnWQ8LarNmUzRU7WSBlxwMp4TIIiTYk2uArSSEAKWn/lBLMNQKiRBOnugiwiwzYSLyd+yCkWwwgtyRIIVhs1Ti+2ODgbJ1+qrluvsmZpR6xTrPA3EK2b55NsWQGayuKrpIiz3Zklalc0SpHBgIpMAikgIYvCaV0gWiaD2YwYFGMV7h+EtqiU4OxWZUqSp9boekqZW7yIDXLekxx6ZBoy3oUEVdUF9LW4CtFfAnL8xpjSHVVdsGSxgmecIT72FwDKeDZ1y0yEw5uO1IIHl/tVhKK7UIA9awnt4nG33Mg3K9XgiEmy07mTSItpLHJCFK1P6PlT4nEtQ59bJ7o2RXFC4Sgf88tiH6COrV8TSyRxLcd3RMisUe1DYpjPdWQWoWu1PtYnvb8xyue3zsIk634j5+aYB1iYdGhQIfui0lmKORUsY8rtwrDlaF2eHFYAfGM27kWj0+EXHoltRuzZUAyckLi3lN1papwaW+IxHS+V2Nfk4nvfM71POOmAxxbaNDuOZlRJ0pZ7cV044TUGFJtSivpWcBL1jHXyBHdt9NWpKmhE6dEWhdyIJE1esO6gLmWVXBa7fRcKdjSIYq/5qfNSqb6npMklbtoe0py/WKTQ3MNlKeoScGh2TpzdZ/zbUcmrLHoIo+SS4rK/3WrqdodGZmVn5WZcTw3k+eruUpK+v2Us6t91nqJO7Z0Ei2lJFa47ISU2XFTV+Y1f4NlIlEkIaxLk4iMqInsnP5UEnJJ0YlTHjy/yqmVasPeTC3gYrt3mUc1QBolHDs4ywtuOoRfkT6Zr/mkps5yb23o+aIfSwXy4gQ7hY/EWEOcGtKkwoSXSQpnasNmSW9KjJ/y6L3kGbT+8LMDPewUU+wC2kq6OqCnq70UAsstXoWD+jIhWIPOcSdrqrofJzNgfAgvjrxoq7cHisXPncKogUyqqkt3PCMI1savz2tIUXRVYl+TiTtvOchsq46nJP3E0Is1a/2YbpQWpSDLun9bXkFH4IncY+BgDSSpoRtremnq+j1kfgEts5g5e26+EdCJUqJIDyo4VXgEir4VykmmBLmB2pGNmie5brHObD1ASFkQkFQb4sRklZOGtd75u8gNtO5RklMJi8mM1kIIfCWoe4pASWJtObfS5+Jan248qD6FACGdGVvgmtbpVJcyC4PPrti+lKoRWSZCSYHnKWqhYqYeMBd4fGmnX/AUQwg8RTDSWforZ5YmEondIi9AgKzuQu3m3+ZB1cuffnRiH4vU2Mq+GLlZvAq5V2I30NpWEokcUkqeffzgUGnaC+tt2v1o176LKa5OmNDDhlszyF4LkL0YkaTYbfY1GEORjt8DXMOX1qzqE6rhlfEn45mJRCKHJzTpRh3kJiGXCMlqE3alXKgC0YKdHPzbatOy0FkGo2K/3CuxG+hQYDb42OJZMWZIr7Ukfkcg0l1Osul8r8S+JhNhGKA8Safvqgq1+wlr3ZgoSbNOtxmRoBTolzwCeYUii5M7xKmhn2girYtA3VhX0SZNbZGV8JWk5inOrriSswjrfEKFy7mkUxdl2RCu87SQCGnAuKxHqp0USylJL9GcWelxeqlHL05oNvzC9F0oirLhGwYEJ3s77jnrDKpKSeqeYi700MZycrnPcjumF6Vo7aRZpSJXTvKR9ZewmTbRZEQsr00rRJ4NGUiacoO27ykaoc9iq8aheUeQut0JAsYpto2bD88y0xiu5vT4yjpnVrtuHlbAWEeSRcXN22Rk28Cg+WDp9bnSyvxqJ3ZN30qIkoQk3UyetHHQf74T8a2lajJkjc16nVwdODjTQgrBaq9/1ZSpnWLvkDzjGMmtGzdvuyy1+S8T6p99BBJN/IyjWG8XfVOmhtQt4XvnvkhrZvhG/Jert/NFfYKkgiwILL7UHPHXOBvPkZdfMdmfSeKhjSRJVfGxlT+9PGBPm+B1xgmFimxl2dgyNvs6vC4EK9UbCT2QIbmDbXysS43VZ9SxnqB5Mtpa1aZJmM73SuxrMpGkTqrQ7Sesd2PWOhHdfkKSuEBZZ52oyxmDPAjOVxelAGPcymusDT2tSWx21VmLxpGHKDWZkseVg42SQYO6gUcgO0l5gtji5Yy0OGOTlAJtLb1E8/jFDkcPNGnUfJbWe5y62HEBvzEkscELhyecyXwLRmS+CeHKxIJbTQ6Voul7zAYeSgjOrUZcWI/ojWVssgGWMjaQBXHlJIQEoUXxSyqGKkFJZ0xtBByaaXBgpkYt8OhrzXqsUWLa3OtS4hXPuA5fST778JNjr1lgad1JnGzph8R1Mrc82e7Tjp3foV7zkUAwIfifawY8udwtyd0AFErmVZzGc3KA89wYm8kFd/QWB0fMq65dhh+lojDBCBZbTaQQLHd6W8rKTLF/EH7pCUSUEj37RNZddBx+W4OSYK4NE2f9bx9HxCnRc05gt1oKdoo9w3fOfQNPaD7TvnXsNSksL5h7GICjwWrx/Llkln7q8zdfvI3HTx90T9Yswohq/wMlQlG6ZaUNgRUWv8ek2zcmyNYR9yDmzasx7UVmYqdYu7WG8QSzj/S3lJWZYuvY12QiNQYlBUmiWVrr8+RKj04/ycq+unKwTp7nAppywG+sRQoXNPQzj0SsDdqYQSnN7DxSimLl1leSA62QUxc7pGlR9shtX7riiq7R1p3fmbodgRDWOBKDax73xFKb1kmfXpRycb3PqYtt0tQ5IKJE44Xe4FrPiET2xvKCUCghCT1BK1A0PQ9rYGkt4mI7ohdrsFkviDzNkWUzBgfOn89OU8qG5J+BtbKQM3lK0Qx9Ds3WODxXp1nzSS30E4OODTONkKO1gLRf4YSa4orCGjjV7tFLdm96ltLDdT4vm7CdcT/Hf7v/IX7oubcQ+GrbUllZccNPEoO1Am8DP84Gkt3BBhvgBTcenXiA+WYDJSXn1y+NvGyKK4fgm2cQUUr/O24pfiyEzUhEhvhVzyX42OcR8dXf4GorqH3lNLKf0n3heEC7FbgqPHszlmsp83OpcNhf4w8/9WIeP39w5JVN73pj0HUBcqQikwBdsovNPgRrtzCxj8VGqDJCqz4QsqFMabfYaKztG0OML5j/xs68hNP5Xo19TSZCz3Wobvdizq90WWn3iBONyQhBUZFIOkOlRRTVkJwMSNCLU9pRQqTNkHTBFM0WwEqBp1xVo8VmjcTYokEdDHwRecfqQv5DRiqkxRpBkheKNeD5mZdCOpPq0moXYS1L7Yj1blxIUFJtMKkFTzhDdWG5diu9npS0fMVM4BFIQT8xnFnqs9qN3Wdh3fuSnsiNFu4Io/ed0t8L82vxh0BICVhCX7E4U+fYfJOFZogRln6iaceamu+z2AzxpUIpIDVEUzJxRWDsICux5X2ACEu4zR8kKRRCCVIdu4xVhdH6v//tw7zu226itUea9DR1Cwa+7whFnGgeO708tM3xA9WVatpRSi+5NlaWp9h7+I+eR/Rjei97JsJa/PY4o41feTfB//oioneJ7m/1EJ7zjOHnPjN1nz1VEMi0yEpsFVaC8S0y2SahCAVWWoK1TCodjG8z+zCs37w3zezAlX4VZlDOVViQpfWoZEbgr1dH2iYQezaOKfYO+/orSbRB9xJW2xEr7R79OMUaly1wC+uDpnHSuqyAJyRIi5KSThTTjlyNsUBK1xTOGKwU5JVkyXwOgVIkCG4+NMvjF9rkpU+BUtA97CmQmVDdSoM1ZBKRvN+FIwO+AE+4LsTtJcNqJyZO0qxkpfNyJInG90SRlbO4TEErVMwFAQGSTpRypt1nvZeQpGbQXyDzOpQbl5Xt2iJvVpGTlIxICETRMEZKSTMMOTwTMt8MWZgJibWlnaREqaXuKRbqIaEnXfZDJ0Ra0OsldNpXrhLFUwUvedoxmqHPX3795BUbgxAS3wswTF6t/R9ffJRX3XEDB1rhxG3K2CyPobVlvdPj4upopyOH0xfXObbYcoUBSktAczWFJ2G9onzsVnHrwTle+fTjY8/3opiP3Xf/jo87xdUB7+wqzT/9EsmLnzVxm/gVz8H/319Drnb27sSLc/D0G6tfe/6z4W++DMbSe+WzsTP1wXi/dZrgK0/s+LT9A3Dh7uHgzfQtfHALO08NqbvCS2e/RUtFfGz1jis2BuMLogXXrG4SWo9C58SAAGyGKtN3GTKp8FWUkMwI/LaLXxrnNDIZjC1akPQO7lxC3TsSEC2OL2zpuA9f3GTn6XyvxL4mE70opRclPHx2jQvtPnGqh7ILEsA6iZG1zgeQ+zk7UczFToQ2Fk+4so9SSFIrMEleijXv0+DMxYutGscPNFnrxiyvK/pWOymQLOJuYLCaL4tkQG7zHkihigyGEDQCn+vnG3S0YaUdFZVzchlSmhpqQpBaZ72SUrLYCGkpyXo35XQnoRslpFpjjcnaRthibBZct7oRFFwoG4cg/9O9IKWkHngcPdDgxsU5wPDEUpeEmLlGyGIzRGafs69cGdm+1nSjlNBXpKmprAI0xd5DAFGqWS2tlF5tCmhr4WNfe4I7ji+y0KgBcK7d5/xyRQZFwNH5xlaPPPH5M0ttji82GTVsNAPlzNT9nUtVqqjOtWOnm2IrP/TJC5+Jf/+3kOdXN994q5g0iQRwz530joTOMF3aLn36MWzoE96/vdXsPcHUkLprCGBpvck3T7pGiQ0/5gXffgW+yw0gLDSfgM51kDbdxWE8MZFceHtQkTxpCuYfThGJHboswhWD0NA9shtP5g7v4NP5Xol9TSb6UcLF1ZiLa13avSTr95Abqx0J0DrzCmTRuxDQTzXnOz20hpbvIQElJVZa4sQF48VXnEmWmnWf248tsNSN6SUps60AvR5jjMnIw0CAVN5ZWIvAZlV1sl8nMQjWG6HPjUdnueXILI9d7KB1u9w/zlXbMaIwWksBczWf+dDn1PkOq52YVNtM2pUVuh0q7ZBXr8rf//DkFSXJlIPEU5JmzePAXJ3Ds3WEFCx1Y7Q1zDVqzNUDAiXxEAgJsTFc6ESs9RI8KZkLAwKpiGzKNLzaO3zsKyep1ypy0MCp1TZrvXgoAMoXhkZJxcn1DtEeNrKTmZzQIkYM2uO44/gic/WwyI1NLIpk4cmVHofn6hON2+2uy0huhOOLzYllZOu+RAqP5d6AUAjgO244suG0PT5T4/rZrRKdKa5l+H/zAGJpfW8OdngRbhzPdpXRO1bHVrW7FwJ94gCRrwg/861tnXb5FcdYfs2Jbe0zxfZxvbLMqOob3mfWZnng1BFM9tvdSULe/dlXgbC8/Ts+NrTtB//X3+HM0sIlH28VOtdDWi9XZ2HivVLXQW1we7ZyclYiRxWRAEdsgnWLMJrOsWFCsZm3Q6TD3b6n2BvsazKx3k14cqlLu5+QmEE512KlPZMi5dkKIVzFpou9iH6q8YUzFAdKEnqKlTimn2U3yqv0QoCfSXi6/QRhoOEreoEkTmwRQEkGfoM8E5JnI1ywz9CF53mSpx2f484bD9Cq+Tx6sZtJlBhEWVl2Q1h3/JonOdKqsdxNaPdjl41xLXsLM7b7IzMPCgqCIRFZCVlReCZcBkUipCDwJDP1gMXZGvWaB1aw1k9IjGU2qDHj+9jUkPRTmjM1hCdJrKVvDXiSxVadZhgyF/hEUR7YTjMTe4VYa9QEEpBqMzEwNwwTCmMn1yGy1vkPql8c/mdOInIIJL70SUxVR2x49vUHmakFW67qlPeImfRrZYttJkNucrJASU7M1rilMZCMpJt0uZYZqZ/i2oZo9/A//XWSFz6z8nX/M19HrHRcQ9O9gJSuUtQG2LAKjpToI/Os/+C3sXRnNkG15cZf/MLGx/QlJthFHnMq+9gS8vLwlbACbQbfgbXQS50M57fufwU/+dz/Vdw3o8QvSMeEQ+0IVromcF6v+kto3wBpzW55fXDTcWzhOEJvkKizFr8DjXMpF5+dMQgLtQtbyS5svsmG+07n+xj2NZlYXo9Y6Ub0swZzBbJgXAiJLyHF+SUSbehECb0kHRixpTNoryUJnaw/RV7GMi8fq4RAGPj6E8vEWqONodXw8JTMGm7ZUsxji8lmrctI5MfJSYHISMrh2Rq3HV9gYaZOtxfT66ekackInl8T1mKMJfAlLd9nthZyZsV13rbGDio8laox5WZwm7ErURiqB3+XWTfsRugz2wyYaQSEvkKTNRKzAg9FTQlUCv04xmhLLfCQUiKEYLYWsBg2SXSK7ico4RFISVe7/gXX0sWyn2GA02sdrLUkma8IGJP/gJ0YoM/Ufdb7SWkxqkI6N4FQ3HXd9ohEMZp04PAR3u7Ly46i6SluaNSolcpimtSNvav8sR/E62bqHG7V9nYQU1yVEMbCSgf/M98gecHtQ6/5n/mGIxJXmYwznpes3FYjLSXOnviZuwC4/t1fQejh8S5/13HWXnTkcg5xim1ipV/nfV96CbLrNMsXTQPdyBQYsUBsUamZNpz0aCMvQ95VepRQtE9sj0hcLiQzsPIMiSllI/oH3Nhro125mWYlLiX2NZmwxjizsrX4mYFaZ+VgsS5wV1JijKVvDJFOaccpWhsX1AOR1nSSlChr4ibIV3EzKRJQU5JON2Gl3cdYSy1QWKtcJiRrjpevOORxmLGAyVeBMzN0aZFVScGth2e5bqFJmhoeenKNU0ttkrSUYcmGYQEFBEja3RS94IJ915ivDDEoSYsAkXcRtkVvCIRESgh9j1bdo1XzaYSBy7xkZuxASnxPoBOLTjQYQ5JXuxKOXAVKUKsH1OoB2lpIIfR9lPIQMDCBX5JvfoqdIM7m+BBGSPhosFGGkoJW6NNP9IZeGIEYdFbP0Ay9SiIwX/e5bq7OqdXqfLg1g07YNh3Mp5qvONxqEAjJubWdl2hVQgwRCQCZfSZPm68XGb4cDV/x1OmRPIWwFta7GH9EHrre3XsisbwKvgfXbdw4byNYxRCRAIiubwJw+s3PGFvcSY7WSeeC3dXcn67UXnKcbc8i297g88luWSaw5DckoQVed4OMhQRdc6VZNyMUeqS3la6ZSiJhAkgbdsPzVkHXnJFbGDZtnLcRjIKkMXzuvOSs17Vj80nYTF61m9TydL5XYl+TiSRJieKU2ZqHLxWr/Zh+PLhKBO7HIDWafpqRhqx/gxCC1Bg6sS2MzSoPWrKVfgH4UqJTw3ovJU61y1gYidEWjMsy5CZkcm9E5o+wdlxSkgf7Sgpm6wHtbszJi+t87eQy51Z7me9j/LqNE0sUJwjhJC1DGYx8D1GWZ7nnpHTryEIIlJLUApeFmKv7+L7LLkgpUdIZUoV1F7jVFhMbtNbuvRiBlIPMhhSCQEkwFpNqfOVRm2kglKK71snM8FxTF8vViifbPU6udkiMwd9N4ylLxoInw1OuMdLk3yJLnCZb7hAdeJJmUH0bmgn94eugdEiJoO55qGaD0HP7a2M4vbK2pfMCNJXicFjtQQGYC7wxj5Ebx2Tp1RTXFmzgET/7xt0FH1tFlMC5i9DPoiul4KaNPRRlxLPQvn7yOLu3z1U+v1nVnU0xDa52hY+deRr/4+TtThe0zcYDZdmbsHZTbZFRTmq14VaWoZX+jc9vsX710dQGVZOtckG/MIP3IGzWg2KLiOYE7Rsm/95JTfUPldjlNJvO90rsazLxzdPLrHZTbjs6i5SSbpLSxwW8Ski3Qm4M63FCO04LP4TM7NKpIcsquFKxUrh+FCbrUeFLibDQ7SfEiZuVSoqs/4ObUUpC3uEtLydrrC0qKrnr2wUfYuQiPrPU5eJKn9NLHc6udulFeTWqQbCSm6e7UYoxhpl6gDE2q1A1OFZ+3EGp10yjKSVKSVp1n1bNp1kLCALliICg8FJIK0CD1QatLWmq0an7LBxJGZS89ZTLAqXauNU5IajNNAlmZmmvdWl3Y5Ikz7BcQ1fLVYgn2z0eW1pnpR9nhLaaUCx1+5PNznsIC6QV3YEfPb/GTYdm8TbRhJdR9za/PQWeZNFzsiNTmm8Hsv4TM/UBWTjfj4kyg1PL8zgc+Mx4268GYk12TUyNE9c8rJLoE6PNwSB55vX4Xz+J2Ot+JVEC55fd350pCQtc/L4bAEhborijNk+DlwVf0Rx0rnflPbcLm2ewp7fqy477zjyd33vkbr68nDfJrCYUIpKX7/upOI+/Jkhm7bY6V29FfuWyBKXzZkFG2nL36ZXS+WYeBS+rAh7NC9ZPSPoLO7gHG+efvSwLBE8h7Gsy8dUnLhAEIbcdnSXVGqNtseovhJMwteOElX5CnBlXPSHQWGdaxgXJMhMz5FWUlBQoBMJY+rEmStwquxTOI2eta3onpUAaUXgjikxETiSMqA6mBRhjefjcGlZbOv3EdY4uqj2V/rBusTgxBiEMXlbJI894FPcfsiyJFJlHQuL7knroMVMPmKn7+J5CKYWSLqOQS8GEBqNdFsJom5EgW5lZEMKRCSGEM6JKgc2qZq2v91g6v0JnteuqaNnJ+vspdo9z7R6PLq2zmjUGNEBqLEJYvNKK+kovYqV/6ft9WCyprg6uTi63uX5xhq3G7nV/+7cmKQSHZ5qA4NbG+ImkEERZ5q+l1I6IBGSmb+1s7VNCce3Chh76pkOVr6W3HsV78Ozek4kyjIXT50HA8h23jI9PDcpvxnPQX9zheYRbYRZmh4RiWipzR/jLs7fyXx5+Ll9ZyTwrxWc/TChUV2L1ZSr0PeH799cFSQuQW5sgsroGx8YQgx4W8YLJ/sxeAKyyeFlLl3hW0J/f2VwZZOJ2SCim870S+5pMLK31aDTg5MU2SghXhcaCMYbIWNbjmLW+M1xjXS8EGJAGkcmBciIBFiUEKqu+1I9T+rEmp8uuMlSezXDBtLUWnRmkjRkYrk12vAHyvw/IwGonxpisy7UZernYxZ3ZutUjBL4n0caRoULSlEutpEB5El8paqGiUfNp1X0aoYcUEp3FQIF0BEprTRobdOG/GPhNXIEoWwzJScZcQOZ5glroEYQeqbb0+gn99VV6kabX7ZPEadGF/CrzJ+5rPHxhnTBwgtBGoHhspc16NHzXNkCsXePFfuKWhs63e0i5N+blODWuFHGJJIrM2G+tJdGTf0UutHscnWuMZSeUFDSDYSdCcwMy4UmJtwM515FSWV1j7IC87wAFoRCyWgo1xb6HrQUkt18/8XV9bB7xxAVEfGUcnZ3rBn8XVuzO97BbQjHFpvjY6afTaGX3NQH/v4eexwNrI1mvEqGQkbuvqHWFDuymZVS3BAHWgzI3EaZkSt7gu/f6zo8zmp2wjD+3EZkwPpuWb63C+k2D+6yMQexifWzXhGKKMexrMpEaTRSnPH5hncVGCEIQG0NsDN00pRs7nwOZ/EgLlz6QkqycqjtOvsKvhMtIpKlrvJZnMyQuK+HkTe7vsXaZBGMg1c6InWclconTsHlz0LguP5bWBp1Jrdwmgz0KiVRefcmCkM54GqcGbe3A7yAknhIEvqQWejRDn2bdJwg8LK6ZmS+dxtwAJJZ+5PpyGF02KQ3yKFkD7kEAmv2plJNNWSHpxIZOJ6bd7hNFiZNG5ZkNcvPI9Jdpr/DxB06jstX0Q7M1mqGfeWKGYYF+aji7NugMbYydSCiMdnNRAHKTgKTdT8eCcCldpm6zr/qhc2soqWiMeCS0hYPN4QpJUbbiO2YYB2qBIvCufEs+ay0mTknMIJ/fi3ayJDfFfoS+7gDqydUrRib2HALCIOGGmYsApL2Ix7eym9221H/DY12ruPdLr0TWs/vcRm/UAkbgrQ4ibhULtLAbBuFWuNX7DWEFeqQYnUiByJ13o/u/1wVdE9jR7ERFvwiT/VtWSJ10DfRkq9plgzA4SVVz8H70FjIv0/lejX1NJrCQGsNyJyIQEuFJ1tOEfqpJjVttz7te50G8JyRWQGp1YaQUwsmfpBX0o5RelJIaXay4SukeeaCMyPo1WEr+BTteXckK56kSg/HmlgabrYzaUpprQCTcw0mXstcECCFp1nyi1F3xnqcIPY/AUzRCRbPuUQs8lJKkFredhZryqCuFSS1pakgi7YzVWQoiz3BQOv9YzJmZwzwlMQbOL3dJEk0cpaRpWnwGeew3yGlMcSlwfq2PN+9kbGPIrotR5IQi/65yRFFKt5eghCD0N14yqpKtGQNmC640pTweujBeeakZ+hybaw49l48jStIiu1X3XJGAuue567GyQ55gKyXzrTVYYxByZ1InYzRpqkmShPPnzxfPR8nOO2pPsb8QfO4hZPfSygetgPj45g0SZ4IevtAs9Vo7Ok/Dj5mrdTnaWuWN3/ZJALrrmv+1pUEyNaRuF5uYrav8BioS6LCCUGQ/s3m1po2g+nZMWmM9SD0nd94oo9BfBOtt7QtKs2nor7vjApjQYoWrAIUETHV8sNVz7Aa5AVwH0D02OJ/pb+Hc0/leiW0t773rXe/i27/925mZmeHw4cP8wA/8AN/85jeHtrHWcu+993L8+HHq9Tovf/nL+epXvzq0TRRFvO1tb+PgwYM0m02+7/u+j5MnT2578CbT/feSlKVuxMVun/UoIdEGKQS+lEgp8JSkHigCpVBSkJRKZHpSUFcKtKXdjWn3k6GKSnkfCnCNqkTmmyjxg2IsucegiLfybXPjdaYXshZXTjXfLC/bOmkxXwyqMdV9H20sYaCYawUcmq9z3cEmhxYahDWfBIgMCCSzfsCs5xNYgY4NJjWYxDgJkrFZR25b2UxnvKzr4N+dXkKn3affi0kSV2o3lzUNDbv03yn2HnqEFAyeN1xY71bs4ebp6mqf5ZVe8ej2Br8gu08kVX/fA0Hh9hD6HqGShEryrCOLPO+6Qzzz4DwHaiFSjN++hIATtc0IkSHudYg6a1ijsaOkxBqwhjR1RHn0QzHG0F5vc/r06SEiMcU1BmsR/eqSNKIXX5asq/Ulj//fd224TdOPec2tX+Qf3PVJFutt5sLha3+m1mOm1mO21me21keOBLE1L+H51z/I//cl/7MgElNcOQgt8Fer72EqEgMpxegtdWe32GFMiAit2tmxkxlXvtb4ls7NKe1nJPSvT5zBuioLICzxgS1k+ja69KQFadF+RlxGYxsF0Tys32zpXncNRfNXGNsiE3/1V3/FW9/6Vj7zmc9w3333kaYpr371q+l0OsU2v/zLv8yv/uqv8uu//uv8zd/8DUePHuVVr3oV6+vrxTZvf/vb+fCHP8wHP/hBPvnJT9Jut/ne7/1e9ATz5iQ49Y/LCPRSTZQ6z0Qj8JivBzQCL+uJIAFBrA2xNhjrvBF1T1GXil4vYbUd0csqJpF5B0qFkVxWIctS+EplVWvMWEbCZgMbmKGz5zM1UbF9Fr8UfSHswLydd+4WWbM5KTMiEShaNZ96oDi80OC6A03mZ0KslPS1xVpJyw9Y8AJaKERiILVYbbEZgciD/qIRWOb9EOVxDhEJl6aw2d+NMcSpziRNeohE2CEyVJXemGIvcW6tx3ovGQ5qbLU0aCvQ1rpraMcQKOkjKv6n/GDH8+Ge6w7z/BNHaJR8FAcbNY40a5lfQRQeJumGMfFcFktvfY2os46O+3SXz9Ffuzg0eWV/Hdlf55HHHufhRx8jiuPBdWMtq6urLC0v7+zNTLFvINd61D7+VUSSjj1qf/ElZG+D2pe7gJVgaqp4bIRQpbz+9s/wfU/7W+459jDvfvX7+b9f9CfU/ZjQS6j7MT/5so+5x0vc42BrndBLkcLiS8133vJVXnf75y/Je7lc+M3f/E1uvvlmarUaz3ve8/jrv/7ridt+8pOf5MUvfjEHDhygXq9z++2382u/9muXcbQZJplvdxrfCjD+zoNjqyCeYZioZI/eUbO5hGoC1m9PWb8jwYQlOdGMJp3Vg+yMHTyEYcNyxbIvkJEs5EbFp5g9oZsG3TSs3KVZfrYmrQ/IkJXQPwD9w1MSsdfYlszpT//0T4f+/d73vpfDhw9z//3389KXvhRrLe9+97v5V//qX/FDP/RDAPyX//JfOHLkCH/wB3/Am9/8ZlZXV/nd3/1dfu/3fo9XvvKVAPz+7/8+J06c4GMf+xivec1rtjwe45b4h2IHgcs2GAu9xMmdyEzSziwNoVIEQhDFmtVeTJrqIiCWuW9B5NeRKIiAkAIlsmpR2cTPkiMUZmkhXIUXAVhREB4ga3AHUglEFvW44WUkIjup+1Nk1aMUgado1QKOLTZACPxAoY0gtoaaULQChQKEKREHMl+IKPs3zFCFpkJyRTmWGkuLlG5uAimkq/xkBjeBYWlTyStiB89OcWlwYd01UpxvuDIYsdZcWK9uAHc5IKWkVW+OPd9N0oq5tTss1EKUECx3e9xYG28lFzFMjCyW7uoySX/48zE6pbv8JK16vfI8jz3hsqbHjx4linqsr++8Sd4U+wuiF1P/H/dftvNZAb1bZzn9z+4YjCGTvIzKP5Sw/NNv+0u+49hDQ89fP3uRX3/t+/hGdKzyHD/2/E8A8EdfuofnHH6cF5741h6+g8uPD33oQ7z97W/nN3/zN3nxi1/Mb//2b/Pa176Wr33ta9xwww1j2zebTX7qp36KZz/72TSbTT75yU/y5je/mWazyT/9p//08g5+RO4kUoG/sjPp5Z4MR0K0OH6fvhRFh3TTYCWE57yi5CsIgjUXlq4/LR1bFJI9iUxGUw24TESrmoGs3uF+B2YekqQ1QTw/jUkuBXblYlxdXQVgcdHVpHvkkUc4e/Ysr371q4ttwjDkZS97GZ/61KcAuP/++0mSZGib48ePc+eddxbbbAvZvFCZTsdYS6JtVnXGeQbyaksWp7v2LCyvRay0B/0QchQZiewf+Rq+yNIHOi8XmzW/y7MQQoJSokQUAGFLgXruJ8i28eRIYC9K5VYlgaeYadQ4ttDkhsMtjh1sMtMMWYoShJQs1GosBDVaQuGlQGyxqWM31pJV9ihnDEq9L/KXbDkjUurUnX2wVTIlKcVg+5FHeWtb+u8Ulw6N0Jnsl7sRy92ITpRS20FZ1b2AlIJGlYcDaPge8hJUPZr1VCWRAAiFGpq+naWLY0RiOzh99iyra+ubbzjFFDtE59mLQ0SiDJEO++ve+cI/HiMS28EPPPtzPOe6x3a8f3ksxSrxbh87OP+v/uqv8qY3vYmf+Imf4JnPfCbvfve7OXHiBL/1W79Vuf3dd9/Nj/7oj/KsZz2Lm266iX/wD/4Br3nNazbMZlwqiFggO6p4iEiia1fmd9PCxNKvXk9cEkYhE0pEYhgzD3pDthLVrSAS28D6rYbo4G47NF75+X61YsdRh7WWd7zjHbzkJS/hzjvvBODs2bMAHDlyZGjbI0eO8NhjjxXbBEHAwsLC2Db5/qOIoogoGhjd1tbWsjHggvksE2BxmQVrLEZYlHCVYlLjZE01X5L2Davdfqnpm82yB9n7yv8j3Mq+EXnmwxaBuBEGbVypVZtVY8rlFkOfkcl8HdkVIaXLWhjAxqZ4A0K4TheektQCj5maT6vhEwYeUilqvmK+UaPuS5qJxsSQJhq0ITWiZNbOUwQDEpOzBkv2uYxkC/J9S8mHgXlaiNIxs/GXdy9lOMrvffBJXEuXyuXDpPm+VQghqPk+/WTcTbey0tuxDOpK4J5jB3dVejVEEQnN2vknMXpqjr4S2O18nmIAkQqsZ/kPL/8gx1vLV3o4Dpeg7v7oHAnDkDAMxzaP45j777+fn/u5nxt6/tWvfvWWFyc///nP86lPfYp/9+/+3Q4HPYzdzncrQNcsqj/+maaN/RWB9m7cnRSw9aBH+5YU2ZcIfZW88WmfiUrsODPxUz/1U3zpS1/iAx/4wNhroz/+1tpNA4KNtnnXu97F3Nxc8Thx4sRgP7JgtrSrtq53Q25QVVLQ8BVRT7PS7meG4bwyE2MXZx6I55WatM5r61ME24ZBc7yBZs8NxkmMnL8Am5GRjPAY66RIrrKTxFOKZuhzeK7BDYdmuPHILMcOtTg03+TwXJMjsw1magHr/cT1vejHRP2EJNHF+8g75hVjLkmWil4PWYam0GwNvdvhvw4kYwPvCNn7HbJli7G/ZHtlYieBa5A3xbaw0Xwvo1XzCf3qzzcnFADLa/3iYbcZmMfaDj1yHw/AXCPk+GKreBya3bjqTH0kO3GgVee2IwtcN9+6JFmLHGvnzk6JxBXEVufzFFvDf/qu3+NYa+VKD+OS4sSJE0Nz5l3velfldhcuXEBrXbmAOWlxMsf1119PGIbcc889vPWtb+UnfuIn9mTsW53vMhJD2aYyrABdd7+1yawpHrutdKRDitKuInX9GorHJlWtvR6uD0kG1RcEKxKvLUZiir2FWldXD5GYYiJ2lJl429vexh//8R/ziU98guuvHzT1OXr0KOCyD8eODfSa586dKy72o0ePEscxy8vLQ9mJc+fO8aIXvajyfO985zt5xzveUfx7bW1tcIFakFnYa7H4ylVwSlI3uwPPNbjq9VLWu3GWKSitxo9cBDZPd+Qv5NmPYoPMZ2AtMi/rJAbr8DYvkWoy74MSCJlLgbKKUFISeorZRsBsIyDwFb6vaIYBrdAn8BVJaljtxZxb67PWidDGMt/0uX6mjtGSosFcNiD3XmzpPQy8DFhXkm1Us57LNce4Rem6VVkmBeHkWXaEcFStkogsWySFwExvAtvGpPl+rNHAL0mYIqHRm9zFV9b6Y3NcSFlU8hqFtZDocYJZxoGZOr5SYzx8K9/0icWZrCACRdPIHFKIoayJ3KPy/UEQEEX9PfdsTLE1bHj/nmLbeEIv0rJ9gqr6oVcC1beSnR8LeOKJJ5idnS2erspKlLGTBcy//uu/pt1u85nPfIaf+7mf42lPexo/+qM/urNxlzBpvv/Oy95Hc2aw+PMrn/0evnxu8nVggWRmXJZj1TaaC1ZsIxNRlGsden0LN3B/fWRVfvT4pZd21AW7CvkPzdVy+74E8/1awLbIhLWWt73tbXz4wx/m4x//ODfffPPQ6zfffDNHjx7lvvvu4+677wZcGvKv/uqv+KVf+iUAnve85+H7Pvfddx+vf/3rAThz5gxf+cpX+OVf/uXK805KcQo56AEhJVgr0FnaIFQS5SlSrel0EnpRmsmRMmFTJl+yG15MmQyJUoyd/UNrS+jn3W8HPRaKYFsObnAWQAg8KWjVfBZaNRqhh+8rlFLUA9doTglJN0k5vdJhaa1Pux8TJQZjNEJIrNVc16y5N5iRADkyWpu9UCZKlow02GzwJWODHf5n6V3nwZ6TOuXnsiU2IUY+sLLcaUohdo6J8z0vIbwFGGM4t9yZWL1SSDGepMqwWcwtEGOlhMHJ4JphQCeanNrOqy5VH9e9TjoYwJfPLAHwzCML+KXO2TZOsGkylDmrwtrqBawx+L5PkqRYu3vN7BTbw6T5PMUAy6+8jtUXH8FOyDTmeOvL/pyan3AyWeS4v0JNXJqKUlcas7OzQ2RiEg4ePIhSaiwLUV7AnIQ8frnrrrt48sknuffee/eETEya7zUvpl5qtqk2KlkELgsx4d421jgugzBsTTpTsbuwLltSrrq01X2L5+3wIlDjEZcd792QDlWDCpYU3oockJoJ6B+yRXdtcTURiinGsC0y8da3vpU/+IM/4CMf+QgzMzPFBTw3N0e9XkcIwdvf/nZ+8Rd/kac//ek8/elP5xd/8RdpNBr8/b//94tt3/SmN/EzP/MzHDhwgMXFRX72Z3+Wu+66q6jutB3kpVPnagGB7xUN6IyxrEcJvViTaOO2Q2Bl5n8wouR1sCMBdckMUFqJz/0Clrz8pqtcJHISYSnM2G5fd9TQl8zUQ+brAbWahx94NH2fmq+QUhGlKRfWeqx0ItZ6Mb0oIUl1IVkSWIQErU1GFmQW8Nsi8LeFp8O9t5z0FBdgKZUgKuzRZflSTiCKwLX4OAZLBG6bYTqRE5hycDclFZcOIYqIydkJYybfecf7iGTPA9oaVEUPh83gyMDk1w/O1IcIwaRjlMeVZD1fHji3wi0zIWG+vymoM1Dd2Xt99SImKzctEPie5xosjhEK51vqRQn1cNzM7asBicuXB+x0Zk+xS5z9sduID7sKYnrGRzc3/jl+89/5CxYaHYSwaCRn0jkOqzWacrhxXmI9ntSzNGRM14y3Gj7uL+NnUZzEkiJJRlsYbwdXcKU2CAKe97zncd999/GDP/iDxfP33Xcf3//937/101o75HO4HPgn3/aX/Jcvv5T/c/rW8Rcr5NdbgSsrbJEVfovNd974lDLZvpwplyfVTg6bqYUevGYllaVg+wctplTYylJNKKxwx5B9ialVHKh0YhO63yixCyP3NDNRjW3dQfLqCC9/+cuHnn/ve9/Lj/3YjwHwL/7Fv6DX6/GWt7yF5eVlnv/85/Pnf/7nzMzMFNv/2q/9Gp7n8frXv55er8d3fdd38b73vQ+ltlcSTQiBpxStMOBAvUagnDzIaEPbpPStwXgCKRUyEW5VUmc+CAbVlbDZhMz+MlhgzzIT2RM2W8oVwnX9TbUp+QsyX0TmjVBS0Qh8WqFPva6oBT6hp5hvhoSBR5Ro1noRnX7KSqdPuxcTJVn/hizF4YLzXIs06E/h7jM2IwWDFebCH0FJvjSmYZrwWRbsg6H3q4u9bFH2VpZvOXaQDRl8Evn3w45uiFNsDWIsN+S+iwQna5uZq7O+uv3qRbu5vwkhaIa+67FScdy8j8rEc+vqs/dTjdGmcj7l0sTycdvry+gRn4QQAuV5oF3HdjFEmJzEqhe73PxsPRh0nx/SOTrk6wWjmFqEptgqkoM14qPV5YjLEMLyxuf/NYdmVoemYWoVF/QMeTHudePaHxsEqVUoYWhIl7lYVINyxjWZFAtKABKDwJKOEAq5xTtBXplmL7CT47zjHe/gjW98I/fccw8vfOEL+Z3f+R0ef/xxfvInfxJwsqNTp07x/ve/H4Df+I3f4IYbbuD2228HXN+JX/mVX+Ftb3vb3ryJLeJQY52mP0xghCXrDO2kTCbY/gfishY7/+GVscBUFMizkg0zCYLJr8tEQPXt24VgI4QiWrSYiug0D9kqSyEZRygATH3CQITFBFlfu35F09MJHpaRQ1zR+X61Ytsyp80ghODee+/l3nvvnbhNrVbjPe95D+95z3u2c/oxzIUhc60GTV8hUkGamqJKk80JgsqCGAVYUVSAUjIjEblxOWebo3Mpi7GHJEDWVXlKUoOSEqMkJvNQ+J6kHno0Qp9mGFALPOo1j1YtQCKItObMcofldp92LyKKNVGSkuZmasrrraXVfpubqw2eUG5ltBhXyWhdljllQVAexDmikHfqFsMzuSRbyrc1uXm8tEwiGao6O0wkiuhq8KFNZeqXDk2laAmFxdI2KasmcVkzAAF+oGjN1miv9S/bmAQQeKoy0N6SZ2GH8yUvNtDrutKtaVIt/5BCYIQczryVkF+DVWRofKBVzGHKnqfYG9T8hO+58/OA5cbFC5XbxNZjRTeQwhJXZBdyKU1dbiA9xKKwpGMX3/64eb/hDW/g4sWL/MIv/AJnzpzhzjvv5KMf/Sg33ngj4GTUjz/+eLG9MYZ3vvOdPPLII3iex6233sp/+A//gTe/+c2Xddxf7N6AOpjynPqjXFya5dTZxeK3HgRoZ4zeCaHYDaycEOReylubAKMgmXEn1uMJtdK2jkhUqrm2omIVbkWr6j1eS8H95caVKUi/RzhQD2n6gWtSl1dbsu5qlIisTGxGADyZBRxZhaVsJgorENYibCZ9yjIADuWAnSIrkXMObS1hZvj2PEnN96iFHmHg0QgD5ho1Al9hcL0p1jp9ljvOUN2NYtLUDFVdGiCjCOWT4QKdKDV4PoNxZcbuonFcnpkoHSd/QgqRZWDAeUZGc4alk5VzihnvKJtjR3lXZfDIFgPIKbaNplLUlSz8BzEWbcYdb8GEvg8bQQhoZr0bOv3hYx5baNKqBfTjtJAgVe0/CYkx+FJuKIfaKayxJPHmxKlckWonEFBJRKaYYi/hScMdx05uul1svS1nEaqgrSTdTcupq0D28Za3vIW3vOUtla+9733vG/r32972tsuehRjFl3on+Hr/GKphONpYIYk9TpsDY9s5KdAOPpT89mTHnza+RVoxOcuwwVQoMgiX4mddgq5tYbtJRGKLEIlAxFOZ015jX5OJuufjCemMwfkyeDZHpAAFRcpB5BVkjHDBNy7tZo0zZWNc1SVMbua2g87X+QldFOEMqNJ1+/V9Regrl42oBTRrgesPISWeUPTilJVej+W1PqvtHr04QZe6VA9W+CenACGXMFm6SUorCEsapmHJkdtlYJom80jkAVAukRpbgyrzjhKHKUtp8kpY+cmqdOO2fPyiUd8Ue4mGkkNEYjPUGgH9XjyUTZr0tUgBzcD5eWBAIOfqzlB4eLaBp1yFtEQb4lQTp+5XSRtLP9XM1qubyLltDJ0oQVcQESUFC7sw6gohCWtNon5nx8fY4pmYZiCmuNRIUsWnH7qNF976wCU9j0Gi7VSfd7nwtd5xvtq7rtLPUoW8t8iWYEGWpTq5VLMkrXASJoswjqwURcEkaN8yLp4tQYKZNBabNbfbAayEpGVdpapLXAFSaDH8GU2xJ9jXZEIJkVsUBgvpWNcUzoLMl+FtFvoqkEpS+AyELfpNFHKistyH8oUlitc9KagFilro06qHzDYCmjWfeujKvBoL672EtU6XC+s91ns9ojh1AZTN5T+5QKkkCSr5M4rUQ/aecg9DJ0oQzcEmoyiPV4icGOQSJYEeqgU7LKsaPs4wLO6zGr8ERekI1knJqr6sKfYENSlpKm9sZT0UkqZUdMz4ctOJwzO010vaXGu5sNYjSoa3VUIUlcVyNAJ3izi+0Bo6Z97puh9rlrt91vsJ2lg6cYKSguYGGZHVTkQ3Hi9r6UmBnHHFFLYP5+cJay2MNSTRzjtdTzHFlYawECceH//mHTSCiOeceOxKD2kypiu1W8aD0WH+tnsjkR1ecGk2IhYX1llanhnbx+uOexhMOKhyVMA64lFpLh75XPPjidRmkk53PBNkz20Q0BsfJxuvOIfQFrXNVX8rIW1akpksvrA2841cpZjO90rsazIhhMBYkMJ9u8YaUmtJMMSZdKjmZaZsmxEDz2l2cjOzNQKTusDbSvec8xYIZC4fylbYpRB4nmAm9GnVfRqNkGY9ZKYe0gx8DLDeT7iw1uXCapd2NyZONRbtOESptn85K1G8n+Jvwy/knMJiaUcpafZe7Njm2ZYj12FBLzIDda4rHN2tvO1A6JVlICxZE8CMoNiRDIe1pa3HRFZT7AEOz9TwJ6wgNqRigYCOGQTRApipBZxYaMFCa2j7Lz9ynpVO2fxn8YSkVVHNaCPUAoUXKVa6A4PnUidCCkE9GP/F6SdZgYEKpMZydr27AzJRqrYkBI3GLB1jSJMof3mKKfYNRClY0UbyP770PJphxK2HzyIAb0SfcqWn99SQujVYBJ9uP63S27K4sE6SqjEyIVJQXYEa+ZbjBYMteylstuK+zSpF1gM9UoLWem6xU1QE9FbayRIjAWkT1DaqFVvpunrHs4O4yHog0xKhGC2De4Un/HS+V2NfkwkX4+YGaktPazo6oW8MSEHT95mrhfTilF6SuotEQmwMSIsVlvy6tjpPS2SEguKfWOPIhi8Fs3WfAzM1/NCnVgtYbNYJlKQTJTy50uXcape1bkSa6syvkYlKclJCnj3YZBZZMRzgZyquKNVExtD0PXSaNb+m1M179AOCoXMpITGZ6LEYhRhsN5SNKZIjA6JgjBlozvMsy1AWJT9OJrCa6pz2DN9+42EeObfOei8e8q/AIDPnS0liXJWxRuhxy8HxlS6AVitElIN9bSE1sEE52a3CWsuFdp/Ds3XCUl31ODVcXO8Rpxu75MoZEGthJnCZGN9TKJURVWOzz6Cq94ag2VpgdcWVrh5bwBNiQ6nXFFNcSkTXNbESrC/H7tBlIpHDWvjg/3kRP/+9/w0hLA0ZD3kkEqtIrKqUnU5x9SC2igWvw/lkFjPyXUWpRzf1sZ4tKgoJDV6n+jsVluFg37B30h3hsg8yGSYUVlp0yKbBfFkGJVMxqNJUmtvWA6ssukZBJIaPkREKm21bHp5la0brKS4r9jWZyKsSGZyRuZ9qeqkm1prQ95hpeRyebRCnmpVugpUWKeHJbp/YGAzWpetM2bwtipV3rEVlWiEpBLOhx+G5GmE9QPk+C80aIDi13ObsxTYr7T5RokuG6qyj7wh3sOX/bMArxkMk958wlNQCj17XorPgryxnmnD7ASia/BmTUYRCbjV8TlEM0g7kVxZSbfEDidB2cD3b6vFODRN7jztOHOCrj18gTp1fIScVWlo8KTmkQs5HfZSUPP3Q3NYPrAQgId5e2+lUW9IK/4O1lidXuxybbxbz4sJ6d6JpG9wcDpXCK9VXTbXh7mNzrvpaCVGcEkXphlNMFhfyMNyxZOW483FsRILLzRmneApDSooKH9vA6X92ByaXAWaXm9jCEmVL9rMs/DDynhGTCEVNJPgT63IyMVO4ZVjBrhyxo8e6hvHK2a/y56t30jMBPROgkcRa8cTKAg+tHoT5BFZ8hAFvdRs+lszLsN3MxEQIJ3lyLUyy35gtEAkrLVHJRx5eEPh9xq6RuGmJ52y1XCpDVWlYyNZZi7KS1WPfcB7tNiyZzvdK7GsyIWVhCkAKQc1T9LQLMIw2aG3wlGC22WBuxtJLUqR1DX/aSUInThDCdc22RmMz/4SUEum5QMRqp+Vu+T7H5xuomo/neRyerROllkfPrnB2uU2vH2cyIJsnIQb6vzJcBO/+nsmpBi/kT5ezEgP5hhDgKcmBmRqh75HEmlSbgriUJVRFISbpSIYoS5mERIisi3b2+bnNs53KxMeWK99YUq0JRtd6892GSIUoskZT7C2edcNBAB44vcxSu08sDDpLBYdScn294eRsE6DNhFV5QSW5lXJYvlbGufUuJ5faY8/nOLPSKQvyUFIUcrmhUwuo+x5PPzhMgDwlK3/AwsBDAL3+uPdiK1BSIISqJDcNXxLHk3P1nufhe/mHNcVTDtL57gAQClfJYw8C8l1oHnyh0VrSjoYLGAjgObVzzNYme4jO6QZn0+bYavkUlwavnvsKAH+9/gwe6x/g4QsHeWx50b3oG+yhCJsKWJ5Q2mgjjlG1ODnhvj70+gRUejMmoKz0yBEdNPhdOXbuYMXFJP0DO5vzBaGo2N16dsNqTULnWosp9hL7m0yEilB5pAkYbWn4Pt1U0000cWpY68WsdWMOzTdo1gN8X2K0xb/QJfQEjy2tc67To2sjdJKtMGXSJOGc2EhfEniKuVYNr+5jpeTIbANtLQ+fXebMxTb9KHHVmXLJUT5ApyGimPEjUqCiUtLQhZ5rqwZEQwon5ZDSdertJppGo0YQeMRJgs7YS3HovDO1zI9vi4Z7CIFSAmMk1pqSFItChlUe7LCCRGQr0XYgASve52AfN5zpT9Olxm3HF/jGuWXOrE+oXjThjvnw+TWitCIDIQUECiI9JB06ttBC27zreenwdmcxlJKi6O5ONsRm4HHrgW1kUvYAQoX4YWvs+RgIkvMT90vTFKzF96v8JVP2/JRDvkx6hVdOHnjgBH/0/7547PnfAD78zv9nYjnkw6qLwvBEOruzE1dIs3aMp9Dl83dmvsk3zr50QCTKyBLFVavv8bypXtGXWdnXWAzd93XDHUS1ZTVf3YPI2sqNswzVO2UxxA7PbX2Drep4DYjO5MEY37rCPVHFibcy/6bzvRL7mkw87cQ8USxYXeujU4MVFhFAKgwrnZjVXoxcaeP7kusPzjE7EyCF4IaDdUJPMRN6rPQaPLbS5vRSm04vRiemCPClkARKsdiqUasFRMZy3WwdbS1ff+IiZ5fbRFGKMc6DMDovCi4xcrXmmQdRZCaGy6y684ssG+EkVlJKwsDjyGwNg8ALPMK6Rz/SgzKz+biz4+dz3mZVmHLztBSuco9GuM/MjheLNRYGxD9/zf0ZxSn10AMx7IkoEwtn+diwyNwUlxDWWFZX+8zND69ubeX7UFJydKE59nxqDV5pWezRC2ucXe1mc2qSuK76bimly/wZA7O1gJsWq70dGyEIPIQQdHvj/TU2x+5mprVgKn7Hqp6b4hqCnBCk7AWh2EV2Yrc8RgpLMGLsTjdqd1zC1JB6CaAs0dP6hA+M3L+38gFJ0PXxG5FuGVRHFh4GkTrfhZUWO6HuxlayEjsiEoC/5npd9I5c/i9daFD9it+AqudG953O90rsazJx85E5QHFhtcuFtT4nV9r0hS0kHlFquNjuo40lTi1P9+ZZbDUIA0WaCg7M1Dmy2ODQbI2/FfD4+TV61skmVNbJeqEeMlML8JRiJvQRQvDAqSXOLK0TJwPN+kBqBHlE7QzIMLokJGTx6iALke8hBHlGQAqJlJJaoDjQqnNotsah2RrNRsh1B1ucsYZeN0WnuWxk5EIYXXEQhWgKqQRaM4EZjytvbcYUhBCuW7dliP4UZGREnnUNXSvXBJ51cJYnLq5XZyZwsqIjrcmdg1Jr+MbpZdqlZnbWkmUuttI5egApBAdmQo7PjBOXSw2raljVuOznneIaxhXMUHzqc8/iLz7x3Mt+3ikuL975d/+Q3/rcKzm7Pl+9wQQikUM3Df6qLEze4AiFiABh2WLriwI7JRK7RmCwwXTl5mrCviYTvTil1fAJfEU9VByZq3Ny2XXmtZkGI00tK92YVK9RCxUHW3WMdVWRhBDU/YCDc3WeHs/R6SWcTboIIZhp+Cw2QxqhT+B7HG7VwVj+9uFznF/ukKSpq/pkB9QhR162dfgnxa06FdmInHxYMXiZXMok8KSkGfocaNU40ApohgGxgPVYI5TmCw9eQFlHZpyhGkxWhsr5NUq+i8IXMWAXMst42Ky5nchIT1H6FSeNytOQgiH2QJoafF8isso45fYVuWprWi/nykFby6Pn1xDn1/jxFz996LXX3X49f/7gGZ5sb94tejuwuMaG+Ry+ab7Jo8vre3qOUQjBmDl7MygpsFKwM7cFeMpDqX1965ziasY2k2ahSKiJnc5mOK/rnNe7INZT2cfewwpMpOjfFPNrL/tA8bQQln/x0j/hNz/zKh68eHTPzynjjFBYV0kqqai0tKfwLXa2OrMs1jwqL4aNytNuAaon8Lr7u+P71Yh93fby5Pl1vnV6mYeeXOHcWof1bkS7E9OPUhcI42QHqXZdd08ttTm33GFprUc/TvGkC7TnGgE3HWhxfKHFYqvG0bk6JxaazDVC5uohzzw6z0KjxrdOLXN+pUOS6owL5AF29YwoUwpRMjaXrZt57wcpJZ6nqAU+B2dq3HxohmccnePEQpOmH6BTQUMqmp5y/o4kJY00wpQkJoWGvURsMvKSZzzKr0rpzp3Lqkp/MOiVPfyOcqTaeUykKL2XsqxJwFTkdHnRiVMevrDGwxfWeOzi+uR7noBX3nqUG+eHMwI3LbT4yRffvqsx5FK3G+fcsW+cn5mo1d4bTD743PwRfE/he3LosZXsSewf2vDYUzxFYSamcy85/tVH/x6BSWnJ/tAj2AKR+Hu/8s9J0iuxhDzFVmG1xPQ994gG35UQtniA+1V+83f8Bd927NGh/W9ZfJK3v/ijuxyEQEYCr+vuff76lbsH2pkUlB1/bGFItjlZoje9q18a7Ovltc8//CRaKMDiSYgTw2o3JorTwoWQewW0May2+3z+4XP4vqTme9xyZI4jQoKR9Hopc57HMw7PgYSu1kgluengDIdnGzx6bo2zy11XPakYgVuDHzJRZ14FUQrqRWGoHpiqybt3Z36Imq+Ya4QcaIbMBB5KyEwmJYr3ECcGKd3qb25yxuaSqIFXS5SGUx7XqIE2z05owViJ2GyIgwpPuJuYy0RQdA4XslRSQYweYCff6hST8MdfeQzfH75ktTH005TEuGzcaP+JSZBS8MIbDvLaZ17PXMPltpUQBJ7iR+65mf/6uUd2NEZPCk7MNSlNc66fcybnM2sd0lIfi7uPL3D3dQus9lO+cW64IpQQ8B1H54pxVSFJNFFFJ+3BMSZ3dFE2Aiyp2N6KrMtKTIOypzRyY0y5qhOw8p1HWX7ZURpfX+HIHzw0tIsFHvu3z3O7h5N8FxsHSol2+1X5kF5091cIgoQP3zduwAaIEq/yOnhSN1jSk2WNW8IeasivpZXaUbzjM38P1RiuttXXPkarQYO2Lb5/T2re8OxP80N3/g02W6ZX0hB4CT/7ov/Jr3zqe3Y2SAuyzJftgFAkreH52TrcpnW4Q78dsnRqbvxQ3sZvJjmg6R/fwJezwbUgUoFFgr89qZPXldVeie1gOt8rsa/JxKmLbYT0qIcKTwmiRNOP9cAUnBlDTdb3IUpTLqx3UUoghSRJNfOzIVjFExc6SGCm7rMSJVgrODrT4PBCkyQ16FQThhIVCVcBSdiBNAhybRFFRD1QL1H8rZQlcPIMSaMWsNAMma2HtGo+oZKY1KK1RWZr/UKQkQjQuhz0O5KiSmZtSqQgc18UZGY0NSjIx2MLb4fIdU6lTMqQu5tcQuV6XLgVEzGoFjXFJUOUanRFYG2sRe/A+esrSd1XNINh991CI+RHnncz//X+YULRavkIAc+59SDfeGKZi2vjMinBuOwoJwNHZ5o897o5ZrIa+zVPEXoSv+HzHdfPYZLhCRTk/SaMJU71mBZdm93MOTvRHA4QegLUeJUVYSOwO5eUTHENwRjO/vhtRMccITUND93w6DxnkcdumhkLOHRrcJ2Z0IxFJEILxA77BAR+Si2YXM64dxj+yUd+fCxL+Oq7Ps+33bizhYMCU9nHlrCe1pBJBXHb4edX8xJC0jGH45HWKj/7oo/yK5/6v4Z3yGTZacPidRnyTYyNp+LfXkcwd8cSXtPJkqRnkMpSn+1zQBkunJ4f3i87fOcGjbcQIUY6WWsrsWbn4hixwe1f9GW17mYv5up0vldiX5OJJE6RniSWkKSQpAaTlWjNG09lFV6xxr1uDXjGXVcX2oJTFzs0Ah9tjWt6FxmkFByda3Dz4VlmGgEPnG3TjjUzTZ/IpkQ9TZJkzX6yGC6Xd+QZgGG5kS0aXUkh8DwXwB1ohRycazDfquF7Hta61dZYJ1mgP3ivAgHWFESp1CCbjAfkLTfGJmjxuiWrJZ6TLVGQASHycbqj5j2yRd43A4b8FMK67ASSsR+o8nmvqavlKQIpBIvNkO+/+0Y+8vnHaGVBUN59uhYobrt+nodOr3JuZXL9+lF4UjAT+szVhm87SroeMRMbxWWTr6o3Rd63YieQNsWjO5adCFQu/RtfQdaiBjZCmp1UkJriWkMyF5AcHA4QTaAwh9Sg828VKnTfVmRFDHZIKJ5x8xP8wHd9ij/6ixcNnhTQPwDWgzMVpt0//uK300sCXvi0b+7onFNcfVDCcrS1wtue/+e857OvHkgWsglnpSMUqre9uSYMKF/jhcPZBCktyp/cFNH4uBKuI2RCWIuXWtJ4h5leIyAZz06ISI6vnGZwZXL3IDsxxRj2NZkAF1CkqUEpQamVgkO2Gp+vnBsLiTbZtSWIUs16L2Gm5iOloJtohJQcajnPxMGZkEZNUVPg+wrlK4K6B0qgEkmaWNJYo7XJMt8Dy/FQgC2cUVkJaNV9Fho15moBrZrP7Eydw/NN/MAnSg1r6z1HkuRAROU4iiiIUVlPVAT5mXnb5Nd5LreiTDDGqbwzYbsfstHXBINrctARe+CE0MZgUS6D8v9n78/jZbnO+l74u9aqoYc9n/lIOkeyLMmDZFseQLIBT9hgsA2E6Q1JGEISCMZvfCE3YUiCIRfIJ3kZzOSQN44dIBjCvRAzGxswNjE2tkBgIVseNB1J5+hMe+qpqtZw/1hV1dW7q3vvs/c+krbcP6nP7q5h1aruVVXPbz3P73mEGDf2Kv/O8NTDcrvBXKM+J6AQgmPzTVrtsCQRVbTigBtOLKCk4OzlHq044MRy2w8R/cRk2Si9bruGRbjRh2CofPjhZEjvXp9hhv1GEZ+6S7SbA44eWh1pL1lmaoaey5051np7zKY2m6l9UuBtg/oBI4Xj9OLFfFZwfBsnwTR8BIVMBU45TNN5DeaVVN7eA6o6kF3BeYIzElmdymHIWN0uCpwqLKPdH3c23sdxoMmEUoJASQSOQEocFmeGTKIoC1fE+UtBXixLoEJFIwpQOYlIHbTiiCiQtMOAUPqcTJGSnFhqYIxhPWkTNwPWugM/K29hs5sx6KdkmRnR5g3NboFSEIcBi42QQ+2YZhgSSuHrQSCIo4C5dkynb9ggyYt5FTSgdHd4cVR+drY4lMvPU/r6ElJ40jQsBpOHOFX6BZQVsb1mA6wryMB4mtlqmldXWebyb3no/hn9fQovzAxXF0pIAgna1sefPrxen7VpodUg3Cb+31d6rsdcI+TESptIBYSBZKEVee9aqhnU1H645cgczXB/H1TTvBM62cyJQe5tc6P5xZy1GDOAioDVSoFqLE09phMBVtqZd+LzHJdefx16Jd5+wytBnvO/Ltzpu1/4Po6EXWTu8ujYCF0htosSXn78Msff8AHA347TpuCH/vzlUw95z6PXcWh+gy+44bP7dhozXAEEfta+xgh2CH7t3jtqd7vjms9xavHS9LanpD1yyhMKG7qy4B0OmLeEm+P36fYNG6jGzmqP7BRCOVRoMFnNc8gKXDhkC8JsqaTt/DYiqfTViG15go18GPnMO7G/ONBkIlCKKFCE0odQDPIYwBHDQlTiuIVPWxlFAYttL3Y2QC+zNMKAUDl6A81jiS/EtbLgHxRL7RiEoBWHDGzG+fUe1jmUgE+eXePxdaCfYVLraz7ksdyBksSBYq4ZMh9HzIcBzUABXndhgMHAcGm9T5JaBomh30uxxo1kQipIQ+kpKIhBSRA8cyhCnRhusmUbyguteDvUTYzuBwVH8KlfvRDc5csr2oni3zzNbBHKJaTXhDi3vzefGcax3G7QbgRjBrXDkRjLpV59LPVnL3VQSnK4vXuDqBkFHFqoEE/hi8k5B8lg1Ng+sdAgUvtMJhAINDrtja0zWX804UBFJWGNwWiNswbB8PuxCNiGTEgcgbBjMcAAqmbZDE9PdG4/PKKD2A84Ccdb67zx5N+NrfuyGz4x8llIMPkNvSkUx5TkyFKHZ9/+yXIbbeW2ZOJYo8ctrXWuDUZDFjvBzjyMsyJee8PppUtcN786NhlnnOAvHryJv3jsmbX7dbKYV57+FDcsXdj1sZ1yuKoVKPAeCmcJOqP36saRPvIKBc/bQQiHCmytdsLqUd2DE7YkR8LgyVdOKEYb3e6g/rxtzaXrzPYDcDbe63GgycTx5TnCKKYZgLCOfmboZoZBZtB5dhspffiPFJLUaEIlabdCFloNmnGIw9d0sA7Wuinn17tlDYVn4Y1xKSWHF1ocXmjicGweSjHWYp1ldaDZ0BlGWmQokanFaod0EAe+6N1yMyJWAcpBYe8V4z1LDRcu91hTCc46sszgsCjh45x86JYbXkRUvBIUuoahhkIKgRVecO7KWQlX3WFEbFGSikJUURncMhdil9eXGHp6pPDri31VqQkBISSiCNOa1ZW5qlhoRhxfbrPYrI9l2EgnizIfXetxuB3vmkxo49B1N18BcRzgnCNN9i5WTtMeToTUPSWs1WRJD5N2a/Yc3X4YJgjGWewET45Ju6hocuiHRBOQ1T60aiLCZphhBF/xjL/l/edvoV9jzVzbWuNrr7+bb7zhr8bWrVs5Ym82xZCsH1IhR9R4e1I4/sFz7uF/3HvrxP684NgjvPbUp8eWb6rZzftq4/TiJV5y4gGuXxr3MGir+IsHbqrZy+MTF67jhqWLeyATEyxZAbrtENahenu/oQWtbLKu0uUZK9UOrGoJw5lU4WdjaxtlKqEQRoAV2Brrt27ZDDvDgf7qbjl1GKlC2qEgSTL6iaGbajpJVhalE7IQJ0t6WUogJXGkiEKFyD0bSWa41O1ycaNPt5/SCAME+L/Ch0dFoc8Y5XA0w4DMGlJjObHQ5tH1DgOtQVpkKEB7u7wRhiw0IloqxBpXhhEVReScczjjsyLp1JReBCEcUg1n/gthalFn2jpH9TbvBEOxeZGJqQZloqbiM/k1J4oZXqimgvV98YymIBCqqE0hhvUtisxUQriyz9baPMvQ04h6P8k4stAaSw17eH6y7gEglJJsSqanXqq53B0Pg5JCcOOxRW6/7vDI8nvPrZJk/i6eZpZskj5CQKMZMmeGZMYM+jjVytMJT4bDobOk/Jz0NlBRGxnECDG6rzWaNKkjEruFQw/WQEpU0PRLbMKIIEjoA16hZ4bdwfEFX3G5/HTDDZ/jo/1nsJFOT60qheNl13ym/Pym5/8J7l7LB87eQkePEvmbF8/XEondQgrHv33ph7jYb/G+B2/AOsFLr32IVjAk+c9YujylhRn2Cy86/BBha3TS55aj5zg2v1G7vcBx8+FzfPri5OJ0iQvYrEntK3AcVh3uODEauvY3F07R11Gx0VSjO5u3BPHw/p45iXBmG02Zh2oOx1e8lGCswNaFcTmwe8joVIthLLaH2XKaM5PkquBAk4nluRgRhLRDxaqUaDLmAkUQKrRzeWiTN7aVlKQmIs28kdsIQ5pRQC/VnF3tsNYdkGYGLMxHIfPNkHYrJJA+Ht0BQgqvR5A+Tj2SkhPLbRYvRGwOvGfBKgHKXyRGgBaFLHtoqhepVR2UKVULgbgAkPnyauhRTgRGPQ4epbrCDb0MLl/gIBc5DXUPdfcCX9Mud4XkLRbvpPRUQ0mRi3F9X13e73J/fIiZcw6X542auSb2D8++5hCNeJQ4JJkmM5NDyZpBQDbBOxFKwWpnQJqMrw+V4o0vup7nXrs8svydf3Efq11v6D90scv5dHI2p6bTnGqk5XhL1i8RSoibQ0JhjcUYjbMOZ4ajtN9dHWlLpx0CIZAqKgmFswZrrk6aVt27jJw74o+TbEAlXM+FAcgDfeuc4UohHM96ySb/xy/eV7l/3seP3vUa/vjRm0pCsdjocbS94e/XDmJhCKXh393x2yPNfc9t70c7xZ+fe2ZJKI7EHU7PXR3D/m2vfi/f8vtvIDWSH/6iP+Zoe1jXJXOWbC8GVlVMt1c8jQ2973zWn9KeHzWcH84OcdnM1W6vpOUNz/lrfuKDr6tdv9TsYZTksWx5bJ0SlmfHZ/nel4wWsfuZv/oyLvbnATjXW2A1meyBVZFBXjsMH+3aEIwjUrokFN7M8HZW2NAY6ycaGyujzwWlHCBHCIUrjLOrgcqYlNnocfYcWjQb77U40E/Ex1Y7zLVbpEFAd6DZTDK0NVjnkEIQKl+cLgwVcRigraHbTdHGETdCLm70Obe+yUY3QWuLcA6FIFKCRijzkAWHMd5YtraY+RfEgUBb76VoBSGRUGRYColnKCVNGSCEwOY6gtI1kIsfhlWx/egUFfZgnUPmOohiM+NcXiyuCGvyxyoL2wlGvRP5zENVgVEQj+ol7L0TlWxR+T+FliKUEj8VayEnPcV5GuuzaTknsJayaNrT6Bp5SqP4vSemVZ2CxTigfYWC6G+785by/Tv//NP80foj9f0CTpvNseWd1UuAI4gagCAZ9Ohubpb7hFPihHSySdhYRCg/s5ZlA5LB+DH2BULgBrMZ2xk8VOB46/9zz9jyH3zR+5DC8tELpzDAi08+wBtuuQuAEMt1weTx+a+e914u9ua56+JpAF55/DP805s/PHF7n1xjWnWUyXDO8V9e95u72HOGq4lQGALsiJB+p3jxqQd55pHzV7TP//eF7y3fv+Oel/OHDz5v4raNo+M6tG4SQQRR4LPNWCfRVoJyLJ7YoJ9O9pIr5dOyFpOhzmzjlZggSt8JhBOIFLYXUMywXzjQZOLspQ5xR3PNyhzzYcilrEeiDQvN3LPQjFhoxgQqIDGObpJyMfPE4eSJRTZ7PguT0d4jofBhPKHyhv9mP6MRBejUoiIIZAjKh4AY46sNzzdCjs01We0NMICzjthJ2tKTDKkUJtF5mFDhncj1CQzT2Ra2f0l6C48FfqUrq15XRNWVGPChwNqHIxlRkIxqeMbIn1FCkRulUnrXixDkRfN8x4rjG7Z6I1xOfEYJhKh5N8P+IwoCQPuibhOQmXHvUKTknn8ZJQShkFicr7lSQTDFI9VZvYwTEidqHiRT4l1Fnpa1TIcoJEJIXwm+FtsEz05BuI1QfGvI4AwHH7ahsJFEpBY1GF5PQjiWjk7O3PX9L/xjHtINLm3RQPj7pUBNMP/XkyamH6C6fqwl/YjNrMF8WJ99bV44NpjgWd6GYqRcvUKLM0Hq7nEiWAPgcb04eaOa76QRZih59ZKbTNMwdNOIzGrCGk3N5CBrj0ANizVqFMaMVpGvQjUMpq925b0Q6Tb7bNfRabvOxnstDjSZOHNpkyBIsAiWGjG9xJJZi1KWIAJpBGlXM0gTuv2M1GRYbVicbzHIDKudAclA++xJzocxCRzdgeaRi10OL2yyMt9AZ4Z2q0kjVHnYk6CbGMJAcXixyQuvP8xiI+DMxQ7rGykmtQgnUFr6vM1SDMXOpQfAzyYX2ZlGxlQeyuSzKDHUHLF1u4q5lL8pj1EsL1TcdRCF88ITkACJyy2ksqK1qDQxzDfLMAyqGj5VqDqG7c+4xJML4xz3nhufYf/C6w7RDHYfq6qN5ZpGxAuX57iYZjxY6C4cCGe40axP3nnCmHBAZt1E70TQXEJUwovCqIUQkqS7OjruKjDW1D40duPJKZBmGuccjWh/M/nM8OTBBoKLbzjFxp3HmL/rIkf+7/sBP1RXlvv8/Efumrwv9XaJRnJGz3N9UB8T/68/8A3cv3a0/Px7n3seG0mTf3fn7xKreuN/TtSP9Ei4XRPcUPiJhXQvmfeeRkbRUwmZCWorVb/qOZ/k2pXde05TG6CdrDWqhXK0TnRq9yu3qVkmhaMZZfQmeCd8wMPwYEFoEAKSJKhv8SqNqXISdq+hfTOM4ECTiVBKlFKsdRMy41hoRxxrzdGOA4yxbG4mDFIfU76RpCAdS40mqxsd1jY7PL66wUD7eO3cGYG10E8yHr20ibEWIQWNSHH76aO0Y8VCGGOMr6SNEIRSsNRucGJxjo11TddpjHV51iaLsIJGLHNPBhXhcr5NxagpDZyiL6V+odjAu+8Ke75KJCrRUsNQJ7fFsM93EFtCn7ZqH7zmobJvXsvCt+0qDVb2LVLTVrwmswvuicGkEE7rHB9+8GztPh89c4kXnVzhmsXmro75hx99gM8+ugrA4SjkcG5YW6vZvPToNv2d4JXYBYKwgZg7RL8zng3FTNGSKKVACHQ2qxUxA5z/RzfRuW0FgM0XHWbzRT7xwPHWJr/6Fe+Yuu/9usnGFaaBsa7iYavgQ4/cxPd+4Ot526t+fXynKSW1N22GEY5lNV0MPsNTD84JbM3suzaKn/3Aa2v3+YO/fT6vfs7f8cxjj+/qmD/z16/lo+du9B8qhxbK0jo2PaFFHGoCuT9aSBUYGsIxGIwTENOfPFnjAh8xsa0HYoYnDAeaTCzPt7ju+CEW2jFzUUgUSLTJ2OwnXNoccKHTZ7OfkmiDNpYwkqwPEhpK0O1qemnmsyDhjWGbh+zozHFutcfFzQEIwVwr5Ei7yWIrxOBoRiEOh9aGRDtWN1PWepp+atFmaGBb5yv0Oie2ZFlypfHuEDhnR50HjrJmQ2UBY5mWilWVZQ4YC2ApNBC4imfEEwZrCuLjSo/GkOPklKNkKlvhj2Nz4qOEwAlRVsueklhqhn3EZy9v8OmLq7XrGnsw2rf+dGLC8iqkDFg4fB0bF87s+pipcURbvBNh6/BYJqcCKohoLx4fC+fqb5yd2llfVHHSLXA2cGeAc715vvQ9/5w//eqf39X+FsEDepEbglFP3T/83X/Gxd587T5/e+FaXvk/v3dsBP7JN/z/kFPiIhKnuWTqDcE5GU10Erstf7cu3xaTZjN2g8+7y07w5w/ezG8/cPv4Knf1HPuTvmZnJN2zc7RPTvdMTIIQjlac0ktGs1aJKScjlWVuLqERjk7sPN5f2j7EaS9fUH284PaYjfdaHGgyccvpI0gVMBdJkizh8Y2EC90+a70BvYEmTX04AtLH/JvUkGqDbIYYZ/LMSH5kWMiFxX523ThDZq3PZNSH+y9scMPRORqNkCwvWGWNY3Og6acanEN4d0LZvyIQqDC0vd7A/8XlYU4Tr2ox5rYuCIAvm+VKsbRwVZeAwwnndRMMQ52kwItKyTMuWYvDjiVbEmUtCef999MurmpF4UodjHF19wxXC3/12HkeWtudCPmuxy4z0IvceGg0m0ggJc9cmuf3P/JAuezLv+B6nx0N+I0//RSPXdzdw+ZqwDqHrtGFNOeP0998fHKY3xQ4tuiNKogbbeJGfQYWcRVj02e4Onjkzc9lcEO9Yf+kQNTbGK/+je/lD/7e22gEV+5N69h0IqF459nbeMfZcSGu6SXAT1zxsWbYOf7/97ycP3vsWbva94/vfS69NOZ51z08slzgaMqUj/RvLJd9QfN+iiol/+bDX8d9qyd23+l9hhSORjh+3zx6co0Ljy2NZa/cCWzDIhNRT0aEw02YY3PB08i6f4JxoMnEerdHBjyQakziyUMn1QyMweZF65wDYauGrmOQaYJAUhS+9XSimsA1F9ngwEq0tpxd63FxY8B8u4ESEiUhdTDX9K64C6s9koK85EcrajdY6/zxCk2BLwxB4ZvY6nFw5b+5p8CR72tHwpVK30WuwUB4DYbDF9qT1iDyQi/OCoyxZSamkZmCISPwmonyeDlHqVah3PK3UEwMFRRbQ6R28EPOsCN84P5HCLbUmRjsc2rUWCmesTQ/FlP63o89VA6X1c16gWgBISQLR06xceHhsXXaWISS28Z270XTUOnI1PbtlPobwJiofLjvnno1w1MN24zFThbzJb/1Zj74NT87tq4tY0LUtocI65zFV4hpRlUABNtcVLJ8Im3tSz1t3ukwnwlSd4Z//oFvQTZHw9DsJKt2h9j6dUnhaMlkbLuP928o32/abULhnKD72B68E0ArHk03PkjDKzYFpo5mLWq1JE8EZuO9HgeaTFhrWeslmMyQpZZOokm0Tw1LHvcvA4lQAAKkD+nR1hIHQV5bYTSKp3xfCqO90dHra+5/fIMjC02EE2jn6GSWw0uSJDOkmfEF2nJPh3cEDHUFUOgRhscYNcAZHrQIu7LOZ1UQlUYqg09QVKHOw6lGlkNGJeTKWoytEpUiYldUzhXvXdlyGXvDTpb7FFtUKFr+zpMZUa28PcO+wTpXpt4tsJ1hO3B2aqjT/Rc2eOzS8KGx3Iy58QXjs7RFNi/Y2a+61a6p1sJwJgMjkNIXjhzZD6jThWfdiwStFeSW+g6TvBIFGvNHSToXcNsQh4mYDeHPezggs6PjdE7GpWn+nMjggIe15GE9OngVjmeE457Dd77unXz3+7+JB9dHi0JO8koU+Lrf+U5+5SvewVI8nrZzO1w102sW9rEjaKuQdnviWUKACx0im/zL/fW9N3LP3zyj/Lw83+EbXvXnY9vZK/31pxDXJAtIgVAZwqBel7Z170aYkeiQrTVslXBEweQJscPH17l0fgFrnkJVQmfjvRZPoV/oyrHe75Nkms4gYyNJGWTai6PzLElCetO3CGUqjHJjXJ71qSYtWWnpV8xu542W/sDw2IUOFzcGdAYZSgofTpVZwkARKjnMpFTVTRdkojzE6Oy9GzHLBaMGenVZvlwU1a7JBdVuZCvnhpWyXV5Ebut5+R0qWZ9GQpOGXhPL1pVbDUVXnuOosfk0ukqepogRKOe9BcXL7NborsABvX6Gah9BtY8MtQyu+nJYq0eKzk0iEn5Xh+6vYk22dcVUCCHJtCbT2chLGz3V++GcnQ3hGUpoK3n97/1TXv97/5QGrXyW30PhCHCcDizPCIbXT4jl+qBThpdU0Q4TfuKV/5PbjozWadluyHXSBvMiZEmOvuakr3U0CfMyZhZz+vSC6ktsX5FmQfnK9D7MDwtH42gPO6FqNeQE2yhSvTNyJATEgR7X/Iit9sQoZFFrYuTZAUg3NSRpYojTDFcNB9ozMUgyej1HP81JBMOgobICW/FXijyLkcNmlsQ4gkAhhPW12AovwZbxJ4UgDhUnFls0pOTiWh8ZBkRRyNKCJEm9R2KhFdJuBqx3BKZ6ARbHdDWC5MIbIIYhR4UTomqYV+f5xTCuabjc5V6P4j2U6c+KZa7qHiEP/3KVc3YMvz8nGX+suYnPIpe3U/bDFcefXcxXG1E+s6+nkIBeNl7hejEICcX4L7Q+yPjtex7mjbeemtjeofk2puXY6A3oVapnW+dIkqwkslSNmwlxFM5ajE2RUk4RQ+ebO4tPIjBctl24VHf9HM6aeuIwZYzOQpk+f3D0Vz+HiySrr76Gzu2HardxeDE2TB4zCsfJwLKiLNpZ1m1CMCUD00qjSxRq3Nac/lMKdf3ya36dlTgZT7JB8Qyrx96rykzGLOzjKiL3TmxFsCmR6fj3td5t8b8+dAdf/cUfmdjknTd/hp6OuffMNTx0cegZE4ElWkoAh6ipIbEVDp9xyliJFI64RvcwcirCobVCV7wMYWCIp9z2L5+f94TmSsfFVSQSs/Fej4NNJoylnxpvSJXjTYAEIXMeISktbWdd+TIOoignGIX1XcIvV1LQikJOLjRZiSOstvSd48LlHo1miAXmWjFRKAkjRTMKCAOJNqPZmZzzoudAeFH00Myveh7GR1Wh+ZCyCEEa9q3Yp9i/rDxdCYeSUqALnUTZvCsJR3FokTMTV7KAPJxJVKNpcxLCsKsjRCcPKyuDtlyx9dPoankKYqsXbCvMhBn4Uf9XZXtrudwbj7ktkGmHkhIpYLHdoN2MGKSa9U6fJPVpka8IZVV4ibUONaUCdthYQKrRdIFSCgLkxFAno7PJHoh8jIrtGMkMT2tEF70GaOW9Z1j46Hl6z1pk7RUnd9VWkN/vHjMC60IOqcnX0k/81Wu4b+3YmN0jplT+vXnpImoCQZEIQqHI9lIvYoanHmqGgrD1hqgxkssbk5MJrOsWzTgjjjW3nT7Djccf5+zqEvedP0G4kCDDKxs7Dh+q1IwypHC+GvYE9AYR2gwrYANoreglIa24PqmAzoLJJoR0OAXCzO7fTwUcaDJhHVRvq6IIbZKURrBzDlFELAhXWuXFLHygJNmWWV0BBEoyH4ccnWuyFEd5hidwwtHvZWhtME6gAkWgwnLGVEoxSg1yi7sqRSg1EjXXQBGRtXV96W0pSEjFXVF4H6pzUw7fF2eGYU/lCobewlEKxdA6ddXgK1f+qYsKq3pAhn0sKlnMLvSrDWPdiCahCjHBuO8YjVABUY2eItGGP/nMY7zqplGDKtMu1wX5z4FS/iUlxlh6g3EPCEDYWibrrdZP9wuJlD7c0HqXRpk1aiukCmuZk5ICZx397nrNXlNCmfLRK1XNbdClMx78eYbo/IDo/IDw0gBhYfVV9YTiX3/01fzoS/6UZk1WpQ0Ljxj/V6AQNmJF1l8X9146yUY6LoZ1Ag63N/lnt/3Z2LpQTTb2BIKOjfibZHFs3WtaqxP32zP2c87o8/GaEzDxxCfMsJuWn/iTNTZ4kob88cefz6tf/Dcjy9d1k4ENS/3EQrPPQrPPXGOAahg+11up74IVnuDWIJCWZpSVdSeUtJgJhELbUSIBYJ0gzQJwAlXnDdluPCg37tkDGFzFCP7ZeK/FgdZMFLarJxDC/83HqnPg7PBV7lPMhEqBsRYlRaX2gr8hB0qy0PBEYiGMkLkYumjTGEuWGrrdhM1uQpp50beQIi9INww3qsYE2mq/t56L22prbZnXHyEWorJV9d/RVsu+VA6y47FbfI+V1qteiZpu+R6MujxmuMpIjCE1BmNt7WsSUmsnZivS1vLZi6NVe7XxWqO6ARQoRSOcPC+hwma9+6QgEjmhcfiikXXejSCaQ0yJCZcCdNYfe0mpJoalCCFzgqLGXn55/bFSZ+kaXfvq7XN2rRmeeISXEpqfrSOmHr/78DPHBNkA6xYezYkE+PHcsQFrdrz41i998k4uDtoTj9EKU1516pNjrz7ZxHCmSzbib5NlHs7mx14fHSwz6W5gjCRJw9rXjuD2+fX5BLG7k7bRBCMa0EbymUdGifCmadC3Ua0Qe66RcGxx8nif1LtQGRphNlLATgmHqilo10/DyfoLJ0i1Qls59ora6WTPu8BbsMqNvWzLTI0hcmLya1s8yeP9gx/8IG94wxs4efIkQgj+1//6X1O3P3v2LN/0Td/ELbfcgpSSt7zlLWPbvOtd78rt4NHXYDA9c2MVB9ozoZ2vA+Fyb8PwB5pq8SJy74GxRciGwOQWvhKCSEmaYUA79C42mxMQKVypZ3AObKbZ7CQstELiIBxmbyInOfj6DlLmHouRwV0X2uTKVaWMotA1MPQ7bPUyjJ6mKMXZBUkqtp00bt2UT+UiN25bVT8PyZCnNPtTH3OG7ZAZg55S6Xm3cA4eX/UZYw4tNNF6/5/yooxDrBwXTygEDlnxUATRBEICOGtIBvXFuqSUWGtqh7UQEiHrCYqQAdI5Nmp2Da0gnPCdJ3YWYvL5ik3nCUUVDli3IRJYqEwj/879z2MtadW2c6S5yeuu/0Ttup61tJWq5bnrJuKhrJ6g3JPM0xCGux++Hr2FCH2se5w0G78ObHag5xo/r+EQnBksA7AS9uiaeGyyca8IpCWs8SYo4WtdVat6p1kwMbWxEM4LrWsQtjLSXjjZyp9AGFxscVYQXxBjxohpCnTz4LLWbrfL85//fL7t276Nr/3ar912+yRJOHLkCD/4gz/IT/3UT03cbmFhgfvuu29kWaOxTRrhCg40mci0RakAo00uooZyfr7wCFQjbdxwmXO+/oNTLickPnY6lD4jU2YsmTY5QRAIWeEqlfZ05mPShXNY64XWMndzyEIoXYkUmlQVeuxSKQwnV/GmDAOKwI2GU1XtLCl8THvBLsuGKCOYAF+Z25UHd8PjbWEJpZhauCFhqPSveDM2Y+YYXzbDrqHH3VdX5duVQnAojnjsYm6gO8FiO95TmypsYtLesP8jY3MUDtAWmnGzsnTyg9AYw6A/uXCfr5xty5TRw+NM//Z6hKw5MZbOcMFJdjhnO8PTFL9/5kbeePrTtPJQp46D3pQZlFUb8dFHbio/D8zkEXSivc7X3/yxieuTPN2zZPQa2s5U/OUHnssf3fs80i0Zf+R8hpi78kJ45XHd1EngK27raYu6meir4L0X0rFwdJP7e0cA6DU2WAh2PsNcB+dGJ0MDaVETCECxfmN9SJanFp4T1Ic4FW3FBp0EOC1GxoeTbmpsTTBwxKvAFk1FsuLQzfp9doIne7y/7nWv43Wve92Ot7/++ut529veBsB/+2//bXJfhOD48eNX3qEcB5pMaGtpBAIycNblhrsY0UyUKIxohxdb5Ja9sY5ACSQSlRvsmbb0MPQjQxQGlEXeKq0WSyIlCaUvCKczP43pRaQC4URZG0C4nIELr70YRWHojxr+xTtfQXvLyeSfReEGwWsUvNfFr3f4eHJNTs5z70vR8NZCfRSrc+7iClY2EuI0/AaK78Pm4mtrQbphsb4Z9heJsegtLuRJoUoFqj/51hXaOhJnUUIQ5F4AKQQrccSNC0MR32OXOigpaDfCiQQA6n1tBaLmEqmzlXoP299Fo8bC2LnsBkopssz6QpbV9qzNCzvWeycu6nEiMcMMAP/urpfTDDSHG957J1uriGhykS8H/F8f+4rRBbvEhjXESqKEHLnTzknHYZVy0US1+/3hPc8f80rM8ASijkzkCU8mQmyd3Rsud4HDRiCMQOQOUakcC4c7XPusx8tNzw0WUA1LK0gnP5etwKYKGdV7VgNpRrwHcaBrvRJVbJyfK9+rhdS3vQvDIJ5PMImCTI58F0I5nLQwgdS0HlJTM6PNMIpOp8Pp06cxxvCCF7yAf//v/z233377jvc/0GTCuIJAUOolqhPmpYeCnGzkMUoOB1bghMMIRxxIGlJiLSSZQRsf+9/LDIsRlZtATkKKCtYOokBhjWOjn9BPNAJvwFtL7lUowqL8hzAQFJfriANg5EOxgRhmWGLc6C9DmQrmUHFe2Lx/gZKk5XcybKtKIkbnaoePJ5+ZyY5s5WcYfLYqi8M4R2oNmfVenDkXMR/6L01MmX2eYb/gv+NJGYsMWy7ywjFgHF2d0QWagaIVBgRSshxH3Ly4MNbOmQubnDq6QCsORn5TYyzaGDKTe/Eq9VmGPQScJWouDffL+phs4Os5jJ0RY1mbiuUjpLf4VwhUEGJ0/eyqcw7r7Nhz3FpDplOiaHyaKnVXx+szw1Mbej7ELIRkh7Zx7wv4P//y1eXHr77547zqhntqi8k5BA+tjRenmzTA+ibk4c1DnJq/VLs+FALFuBboZDDgJY01/qB7dGyfxzcX9z3MpUSdkbyXtmaYjEoUgWlbTBvkQKK6EqUs84s9Tj337Nhujw6WuLa5RlONEopBGtJPIzY2WmSrMeGKzz5WzeoUSMtSq7+ldlYx0VI/ptJk1LQ0GxFsIRSlt8KCtWJiqJNNJSIdF29jhF/eGCdAqi+u3li6CuN9Y2NUoxjHMXG8t2iAK8GznvUs3vWud3HbbbexsbHB2972Nl72spfxN3/zN9x0003bN8ABJxOF0awCCdaWqVQLpu/AZ3KqLi9qSpSz764kAGlmyPK0rtpYBpnGOovKqz+XhrjzbQoEvUHGI49vkqba15wwufldY9wVF58QOcvIiY7NB+fIrCnFvL8ox+5QJO5DzaXImXrZtdw7ISjTwSpVGPR+Ix+y5EYP5LvlHzau4iUpH3i5sSq8l8U4R2YNfWPoak0/1WhrPbFyMB+GJdGZZW27ugiUQuMwdTH8o5a3f1sjou5rQ18bjjRjbqkhEgUePr/B6WMLNCNPKIy1XN7ssbrRLQ8jRD66qqSihjCosAkITNYbuVY8kVDMLdTn+y9PpVIjIwwj5hcOs7F+Hrv1exCCJB1MqRvhyhDHKh5LxnybMzzNYVqK9VecYPWV26SFrQmt+F+ffjEDE/LGm+5iLhqGlFgnON9d5N/92deP71R1RIvh58+sH+Pf/MVX85Nf/D853BwN37uYtbm1YQkm3FeVcLSkobfFA/HLH/7iGZl4KsLis0dsF+9S/nQ1dkXDYhuWRnvA6esfm9jEI/0lrmuu0lAZAkh1wKcePcm9Z64pt0nON32BuWOeFKvQsDI3TpCFcEiKlPSj40pnivMPj2eGMhsRLKbI0GCMxFW8BiaTNJrZWNYoZySD8y3clJSzdd6d+U8GY/3aN1yF8X7dddeNLP6hH/oh3vrWt+7TQbbHHXfcwR133FF+ftnLXsYLX/hCfvZnf5af+Zmf2VEbB5tMWEAI4lAyyBzejnDlj+3KCtD+c5kMxrsKfPYlfKYaKRyZdXlcusBZSI1loA3tsiyvK7UDPg7bV8AujmMKjwD1Y63QaUhBWcPBCZFrxyuz/1QvA1H2V8oiFGo0HCpfXZKNwiXi2xEoKTG5KKr01tReDIX3wb8rz9p5MZW23ujsZCmdNCPVFuOGNTWscfQCDVKQOcdAZ2wMJudZn+EqwoHp+8xCqhUgs/25+z30+Aanjs7TjAIurnVY7/THtilIBfjZ/0lQYQMhBDrt5uQchFTMLRyZuM8kT5dSAUtLx1hdPTdCTnTQgjSFCbn3jbXopE8Ub/VOTH4QVa+3GQ4+bCxxUnDp9afZuGN8Vn8EU2yaP/zc8+mmMd9824eIgwzrBBd7C/yrP/6myTtVb+cVPNZd5jv/9B/xrte8Y8TA+hf3fR2//Kw/4Nq4M15NGDgkMl4arvO73WM1B5qAIo3N01qwcABRGNsVb8Recaa/zIlog1hm3H3/aT57bus48fe2wTmvdzj97HMT2/KEghGhtc4U5x6snwgCMFrWJmdxTjDoRzRaoym5e+dbTEuxJDTIVOKaO098UWgenkoFss+cOcPCwnAi74n0StRBSslLXvISPvOZz+x4n4NNJpw3eedbEXrTYrT2RnSlOF3x1BcU0/V5diXhDXudWqx0RA3p9Qai8AQ4MmPpZpq2CnwbeVYmlRMJbV1uuLj8f/9kKOtIFCElwwn/XKMhsXlIkbM1wuXyHlKZHXV5+FTekMxDugriYcnrblSqUVvnMBbCQKD18OIRbniOZdgXlQPhvxukxDhLYgwbiWYzTehnPnuQLRhH3l8p/VkPtKaTZaTOh8A8ha7Xpy1cZjGDySlJ056mEe5frPQj59fYr3l7GcQEQqAHm0gVMLdwePudJkBIxfLKSc6vr44sD1pL6N4arobYbBq4bwB0R0nRte0WkwywzcRXvV9qjIdizSpnHzw89h3PZnD95EJfV4IPnXkWm2mDN7/kvVzoLvB9f/L3d93WWtLia37/u1m8YXQ8f8O9r+fXnvN7XN/YGNvnYxdO8m1/9lVXdBzbCRAW5OLWMMGd3b2fbEHqgUc+KToR45P/e8KffuI5dLo7z9IzDV6iarFOkqWKxx+aTCS2g3PQ78S4zS33VUVR5Gtsn/gyHP2YZesXtHH9ZLIQr4LUgv6R8cE2pWD9cJurMN4XFhZGyMSTDeccd999N7fddtuO9znYZEIKgkDSakR0eimJ1ViTz8qXE/2i1Bco4VO1WueJgivExVbkHoNK/LnwqWe7WqOU31flGZ0KwXFeXjvXcxfMwR9RVGztaoCsLcmNy3UN1RrTYuye4gmDK4mBX+aQeRViY72I3ObhWw6GWXKdJxgqz1A19GQUW1b9ISL3ZuT9xKGN5WK3z8YgIdV53HlJoIbnCuCsw0rI8vAwFSgcoGbZBWfYBlJFNOYOE02pVbETWGe5sL62L316pNvjmnZrLC4dIMGykWrOpePFyLJslhr28x13P3493/6737HnyWShLIvXr9Wum9T01ENOW9kJsJ3R688OZlNBM2wPIUAPFI8/vHsiAXgda2fnefImOPUAWHhQs3F9gKshaY1LhuX76u/TWmc8tOMePDnodDp89rOfLT8/8MAD3H333aysrHDq1Cm+//u/n0cffZRf+qVfKre5++67y30vXLjA3XffTRRFPOc5zwHgh3/4h7njjju46aab2NjY4Gd+5me4++67+fmf//kd9+tgk4kcG4OMOAoY9DOMtmWYU6Et8BV1BdZZjHGloT1UJjgGqSEKFYEUpLlHwzpfDTh1lpZUZWaXYlcnhkXayoCjnByIgsHkHSmP5MA560Odih5UPBgir2dRhc1PyZTVgUWuiXBDIlEUpBOVvpBrShAoKTCmLtwvzwftLNo5EmPoZpqezrAI+mmGtgaczLUnwwxQfm83JC95wbFupjkUBd5zs5cfdoYZ9glBawndX8dVispd0nB/Mpnt/u3qeAgXwFJDsdyYZcWZ4cnD37/3K3n7zX/M7XPny2W//dDN/KuPvmbiPje99ROImnoxl155jMuvGg932THGHyp7a2uGGbaixjvResxx6G8nuxIGhwSu5vYe1t/Wd44nebx//OMf55WvfGX5+Xu+53sA+JZv+Rbe9a53cfbsWR5++OGRfapZme666y5+9Vd/ldOnT/Pggw8CsLa2xj/7Z/+Mc+fOsbi4yO23384HP/hBvuALvmDH/bqieeMf//Ef5yUveQnz8/McPXqUr/7qrx4rcvGt3/qtY1X0qsIO8EU03vzmN3P48GHa7TZvfOMbeeSRR66kKx4OBklGP9UszDVoxGHuXYBA4VO+5ulftfZEwpZMoPI7Oj+jLhwEuffChyZ5D8Z6kpUExBUWO8OZf5eH/BQpWQt2UBANgciL1hWeB4Eq3Bx5c8PvK3cd5v1wZRc9cXB5PQttLJm2GEuZbwn8DypFcVQPax1hUHgnhiftnENbS19nXBwkPLLZ5eH1Do9v9tnopfTTDCl9uLnVFjee03YEArDW0kkypPAkTtbMDMywf0h7Cdlg9zninxrw5HiQapKrOLOvmovIwKfNPJcJHphCJGaYYddwsCUJ3lXBmz7zKv5k9RQA77jvdr7vL7/06h1sCoqwj/16fd7hgD8iM6Pou4CF69aZv2Y89G7foCgHyMIDlkOf2CYm6Sp9r0/2eH/FK14xnNitvN71rncBvpr1Bz7wgZF96rYviATAT/3UT/HQQw+RJAnnz5/nve99L3feeecV9euKPBN/9md/xpve9CZe8pKXoLXmB3/wB3nta1/LvffeS7s9rLz55V/+5bzzne8sP0fRaN7rt7zlLfzO7/wOv/Zrv8ahQ4f43u/9Xl7/+tdz1113odTOZ/yKcB3nHElmUEoSRgqjvVFrbfHFVXcqZvBHAxhs7o1QeTiUcV4crZ1jI8k43s6FD1s8EdW2CxGpFAIhJcIJMmsRhfBZCQSSMFAESqCNzVPI+ixLWx88Qw1Esc6LvEf0WIVg3A01FNVvRziBwRHlxMriv5fMGvpa00k1/cyn9izIStFGQUKkrNTGEFuOv6XbxvrfIjUWKXyNixn2B4cXWoRbQoHcfIu19S7rG+MZN6oYaEMjmH5tpdbxeH+6YP54Q+besfz4TNYJ+Orv/pjGmgl21egdv7iW4y0aD10WfHC7JqkC+ERP8HhPEElBPHMufN7j4X99K8nJdpmrXhgxVjF3BMW6STy0jkBUXbkF9sHQsU7wn/7zK/i5z0ou3RBibz7gVunTHEFHIXVNpfHYYuNtrEorJtZTKGCcYDObLtx9dHWJZM4Rtv30vO2FmE69GSiWMs487rMyXXNktTZ1a6oVvczbdz4SxDF/zQabj47G/zePdX0iAeHTxhq9u4mcxiVJ0BFEa27yg2eGJwVXRCb+8A//cOTzO9/5To4ePcpdd93Fl3zJl5TL4zieWElvfX2dd7zjHfzyL/8yX/qlfiblV37lV7juuut4//vfz5d92ZftvEPOp8ZcaDdoNUNCKdHG0MlMHvpD5cZeZKsYrRwNQ6+ANo4g8MaSzjNDOecYaENqDLFUFYtdjPSjaLvIlCYFvhCYENj8aaLKgnqUuoxSAD3CGYoPebanynE8aRh19xWnN9y30GEMM3Q4QAWCzsCwkaR0kozEaHSeCtfl/Sg8I94D4rUQUslKwa9KTQM3+kx0OKzwwvRupllqxriZaGLfUBcjWvxek2ArVdfcNg+j2mQAO+lThWAXQ6PkG/lfVSkM5zOA1VlYeTs5oQC8B49xwmpweTIEQWYdl1O/hY0WkGn97NhdlzpcGGQYBMb6GhytCYRiNZ38pa4PDNbBoeaMjRx0uEiNEAOn3MhnoSeMgyrhGCb7217MsIPbYePBTY6/49P+9t2E1f96Q+12c+9pwIOKvhY0Pw2HBppLz6t/pD/jP9xbG+IEsPy/LyBTy8UvP7F95+qwnx6Yp7N9uJvvqTL8RCan7i/CmloMW2BHMkSBbGXIpp/yc1qgV2M/7hYyEMPJ0scuLpVdObTUoRFlJDpgkAVjfZI5oQAwxg/4gkgARLGG2Gd+ylKFkI6wKJbXyEgutqhD45wk6HlDJ1nytljrXL0n++ILgokC7M5JhVOChQd2OdU5G++12JNmYn19HYCVldGcwh/4wAc4evQoS0tLvPzlL+dHf/RHOXrUp9y76667yLKM1772teX2J0+e5NZbb+XDH/5wLZlIkoQkGc6YlgU+nC/K1ogCWo2IqBWTphmDQUZqbPlDjZAH54aVnSsCYgDtHKGAQErSSrVcay2dNKPRVKWnwNdyEKX2QlRto8KqEuSZm/JldlinwdphmtaCJIyiYrBXNnRl/4us4cN/yzFe9LE8ZZ821+K40B/QTTIybbygujTqCi9OHsKVt5/lOg2dF6/Y1th0DoujqzWHZYNxieoM22HieJ+AhXmfeWh1veszmD1JqBKL2pU5JLJ8UNkJs0sFYa1bW/WcJc7R0ZR6JoTARj4zj0yHOfo/drHDpSQrPWwOSHODsEooNopnk3QTq6c6IBOSVAVEZuZ72w5XOp6fdFTniYL8XjqJVMB0T8YVovWpNY78+v0Emz500W3C0j9/EIC1n7++JCNzv9UgeFhB3i9hYO6MRRjNxdv9Y10aOPmBPATy+uvgngdrZ3Nlaln4y/PQ6XPx656xfyfzeYorHe8ylUDunZjGBa7Grb0alh06gkO+RorZUtfBVu6Fl9baSOkIQkMY1hvzhRdjvFRoPhkKBKFBKotzolyGguiQ95qkl4bpuhtnJUGlEJ2TkCwKnFC0zw77oJu+3/MPO9afIWoJhVOCwbJEJgFzj83u3/uFXZMJ5xzf8z3fwxd90Rdx6623lstf97rX8fVf//WcPn2aBx54gH/7b/8tr3rVq7jrrruI45hz584RRRHLy8sj7R07doxz5+pzGv/4j/84P/zDPzy2XEhfQ0E4R6eX0o4Dmo2QRhygM4PJlcFDIrFl/y3tmTLtqij9FwJvV3TTjMOtBs5SpmItDPE80ig3pkSR5KmITMrFya6c+RUF8yhqTYx0bpjdqdA+SFl851TeiNGHXs25laQJT2JU7iXR1pZEYihEp/J+2AdjHEEgyqxSQ9pSkI6tx/X7DvL0seZJNG4PKiaN90lQ0mtynkwicSUoyPGkqt07Rc7PGZXyCIqCMjaaA+Cvzj4+QiSq+6fW7184HIuvUOAfiLaGUDQaIe1WhJGCgRjNPqKfSsnLnyK40vH8lMIT/HPKgSFcHU7BCAfBI/7z4vefAcDediPqkhojOFJD+6wl7GblvmEnv7c3Y/SzThF8+gxlWsAcTmtEP2Pub1Kic0N1qrbpzjLbzGZqR3DF492CeCrU+RAgcvI8bRbQWImxIJXD+3d3eTjha2fZLWRcBn5BtOyJjfpUs7aitZOCdB6cVDQvFS5x/0cljvmHLJun5JgIW6UgM0G6IFmPR+/fJt3B+czGey12HYPy3d/93fzt3/4t7373u0eWf+M3fiNf+ZVfya233sob3vAG/uAP/oBPf/rT/N7v/d7U9uqq0Bb4/u//ftbX18vXmTP+pirz2fLNbsLl9S6b3YRGFNBuRsgizqL6w29pftSWGYqbEb5ugvRRSTgHm6kmy9eV5MAxLLYlfH+U9C+BKIXSxcvYodtQ4EryMeycGHknyPsghn/LlLNFP6h4C6pTw2L4sXCUKCnKegPVMhHF1zT+yZXicukr5pU9LDJPDUXjAiklQgmEAisc2tkrDpuZYfJ4n+EKIQIQAWupGSMSBRygnX9t3aYgFFU0cyKhlMQhsEKOvWYYxWw87w/Ce/uE9/YJzoiJnhKZQeOSo3HJEV/eclefb2JuPImr6K6c1rgsA+dQPUPzgc3h68HOjvol9vl10LGb8T57To5DRgYZGVQyTiQKOCUwDYFT4LZEnYY9x9wjFlkJ71MpqASE9fvqlhx9Nbe/f8/Gez125Zl485vfzG//9m/zwQ9+kGuvvXbqtidOnOD06dNlJb3jx4+Tpimrq6sj3onz58/z0pe+tLaNOI5rKwIqIci0QVs/y94IA1YWGsy1Yi6v9dC6TvRZDQiqzo76n9VYh1IQK4ExApzA4LMZ9TLNfByNGOJF9qiqKNRZn/Me64vMuTykQxQqaSr8RjDMICtGulIa6QiQ5KJwKJmAKDwEW0hRZU15rtpZ0swSKVkRrw63Kr6VovlqyJZ1vq6FL+iXu0SlQEgxdIEIv0wqiQolKMEgT4E7w5Vh0nif4YmHAKTw6ZObjZBWMyKY6YCuCLPx/NSBXZqD644iH70A3X5JJGbYP8zG+1MHUcfhHof+UcAJTyRmpYCuCq7oqeic47u/+7v5zd/8Tf7kT/6EG264Ydt9Ll26xJkzZzhxwou7XvSiFxGGIe973/vKbc6ePcs999wzkUxMg6+z4AiUQkpJHAa0GxFxFOSGeOGhcBPZLfiZAR8C5LeLpETlRME4v3wzyUa8EEHuhSiMc2t9WI82FpN7IqxzW8I58ljxES/FsFidKDwKFWt+mIJ2+PJrKBooP5feCud89WrtBdfnuwPObvQxxqHUMEXtCD0ueEmFADh8qFORLlcKH1IjQ0kQS8JYEUQSFXgSIUOJDLwXo28s4czwmuGAw99GHHEcEASz8TzDwYY9vIA9cQgXqv0hEm6fXzPMsI+I1x2Ni46w6/aHSMzGey2uyDPxpje9iV/91V/lPe95D/Pz86XGYXFxkWazSafT4a1vfStf+7Vfy4kTJ3jwwQf5gR/4AQ4fPszXfM3XlNt++7d/O9/7vd/LoUOHWFlZ4V/+y3/JbbfdVmZ32imcg0YY0GqEPt1qIMm0JZCCZhTSEQnllL+f0qf49Ur/RMVwFnjiYJ0jEF44rfEz80JAJ9N5UTm/txO5XiInNOURct4iKqlkq30uBNkFMfHdq0rBK96L/B9HpfK2G3oeqtsUFaytxad+zXz6180kpZdkaONYbscESiKlyNPhVg7ptrzNz9NaEIFAKgG5e1Aq74UQItepusJbQSmsHRhDGM1maGY4+PBOuKfRnX+Gz2vYo0vI85cQ3b1W8Jphhqc+GquO/orANJ7snjx9cUVk4u1vfzsAr3jFK0aWv/Od7+Rbv/VbUUrxiU98gl/6pV9ibW2NEydO8MpXvpJf//VfZ35+vtz+p37qpwiCgG/4hm+g3+/z6le/mne9611XVGMCoBGGLDRj5puhr1ZtDKubfRqBohEFyLzqM1Ax6nMiMNLS0JR3zhe280TC13XwWgiZ148AhS+yZS0Y62tFiIol7m37CjUQFYKRk4HiuIV3QBQeB5Evr3ofivdDBXZZV6KYWfJiZ5/CdqAt3TSjk2T0M402phRbDzJNFCkGokoahsco+pof0J9P/llK6b+53JvhnMMVKXgLkbjFVwaXkFrrCcgM+4JQyomenmYU0m5E9JPxAna2Mkaq7HYuCogrtSdaQTByXTRqYtQKr9pOyjxM0kBV1zsH2RQbXeZphidNoGoHXe1IzeQpJz+Mp1OB6joxQQiprUVMOQ6A3mb9DE8OnITeLcvjy5VCGOHTJk8brj7hzrYIVxOix6bUfNnmuonPdLc9hri8AcEOH90CzPGl+nXLcz5UdQKsTeHCDg7h2Dft8JOtQb6a+JJrHiZqRbXrXOB4nAZ/u35kfOWWdK7D5aPfl8kk3fVhBiRZk6jIbQYIK7GxG9MYDDcCNyGTXRVGS0wgUcHkC0MIh9kImZinFbZPZxvgbaQJt1YbQjo3bCParB9EwcCN6CfqINPtL/LZeK/HFZGJ7bKvNJtN3vve927bTqPR4Gd/9mf52Z/92Ss5/BjmG6H3GPQzn7s+LzLXCBXNRkgUKm9Ij4wPb1CN2jli5N+CagRKoQREStEKI5abETivXTB2WJG6+F5E4QGpa7vURYjyfbHeyw5c6daoEoiyz1vaLepUGOfQxpEYTS/zBKKbaFJtMNaO9A9gkBlajcALqsvYqcrhRq2q8nsy1iGDvAidcLkuJD/vXD/hH0zDThpr6etZ6rX9QjsMCMOwft1iSEMpHnp8dWxdYeBmdtSvemyuxZF2c3Tb/K8ElmqIoLMODXg9/vSHQLCNYEYITwY2ptnfFj692i0zrdUh1YbL3cGURiRKyFxzNKGdkXFf36EkzUiNnnreRs/IxFMRLpA8/i3Pql0nB2Ab+BoTk/ZXDrEDA6v1qTWO/MYDu+7nTiA/9dCOt3UCspu+sHadePY1SOOYdEnobAB/tJODsH/hGk8j42or3vYl72NhfnKY5Hsfv57v/Oua6Iy85k2RpriAHIwK8bMs4uzm4fJzuFF/LAHYIxrT2ltO41RLBNCam3zvDaQjPdPanpxMiR61LQCHTETtrdlEgqw1tOHiT9bfgxuXjScTU8aY3om9MhvvtdhTnYknG4NM0zPk2ZPACUFT+Bna+ThidaPHINEYYSvGeC6YFgIrqKTTHBrCAkkcBLSURDrBYhzRCkNC6QvbkWd9KutHVCGKvmydSPDuB1EzNSUKz0SFZHhCMQzRGsoaht4C4xzdzLDRz9gcpPSzjMyYkUxTQ8+Cb1gb70oIlPRVr7eeQ9GXyiJHXg1bSEzOQbAOcu2EUlUxdjF77et2dNIZmZjh6QGjLUr4jGUzzHDQ4QLvGRSTUp3NMMPTCDaS4Oy23okZdocDTSZwDuEcmbYIIXJxpKObZDTDgPl2zKX1nq/kXAiOGYZ8VHPKU4iqA0W7EXJsocV8HKIzh8QncvViapsbzG64YwWjh6m4J3OvBKLQhHsPSLG9kAJpCz3FkPoWqWfLU87XGwe9NOV8J6EzyHIPjPXeghFPQ14dIicr1loGmSUOJKkpKlu7kWxO5YGKInZiWEm50HkgvW7CayQczuTeCpN7fgCUZGNWtm6GGWaY4emNmX02w+cTZuN9DAeaTGTGEShBM1AI4QuldZMUt+E4NN+g1QyJowBj7HB23nnFRGmi5zFHQgiiSHF0scWplXkW4oh+P0M7O/RA5NWdy5n7ugGVOzhExZdQeBNEudPQC1KY3uU2lYbKKsAur3rtfM4pbR19a+ibjMz6cCZr8pCmikC76tIoT19AL8lYmYsIpPAFVF0e2lV4RUrvSCWnlAWjfZEZk89kFX9HiqW5vO6E9LNe/QNSSG2GGWaY4WmHK9QhzjDDgcY+VqOf4cpwoMnEQjNChd4o7meaUCmQgkYYsNhqECnBpbUe/YHPpV0mdQK8oe2zEUkpkUrSagQcWmjQikPS1NdlqBrKQ/2qJyD1QUs5fRCUVS19jLXIZ/VFSRpyfuKX58Y3hXeikGvnx7TOkVpN3xhSZ+lpjXGm9HS4vEdU9h3t05BQZMaitctF5RZTdWWMuSegIDbaGCIVINxoattiu6JqeOEFEhK0nl3dMxwcCDnTPMywO4j9jKXeB7hA0n/ji6/6cWaC1BmeChAWVu67+vfv2Xivx4EmE80woNGIAK9fiKRASWiEiiTRGClZajc4f7mLczaPPHJeLCwEQkpEISQVgm5meHS9h9GwoLxHw5bRTJXaDDlElVCIQlydk4V8ht4Vng8qIUKVStK+6WHIlNdPuJIcWHyK1U5q6JuURqQwODJr0MYihU/z6jPjVIvwjY7SET2GdfRSTTMO0EpiTaW4X0UzIYpMU/kpW4snZVAKt8nfF8/R4rtyzvolbkYmZqhHRzs29+He7xxo67YVfM8ww9XE8nvPsPJHjz7Z3XjiMROkfl6i2U5otPYhjFn4jE112aeekpiN91ocaDLRyzJWFudIjCVyjsxaJIKGCmgEisQYMusIA+WFx+Dj/FUZWOQ9A3kmIid86I7ODNrJMtkRDIXPJXPIxdGeB4x6KAQCZO6ZoJpGs0ohIBdSUPotpN8+s47UGhJjSZwlMZrE+irWOrEYa9HOYa1FSIFSAqUoiY8r9RpbtBA5aXEIBtrQbgQEUpBW88EW5ysK8uPZRSHo1nmok7XD0KiR6C2KL9XzCGdnZGK/sBRHRNEwm1Mn02T599sdpGwmKStLbYyxrG8O88c3JqQjVDUF2EIhOZrXBnGAMMk+ngEEahjLtxQIwsxxOd39HbWfai52BoAjy/U64QSBdCBtOUSNA7NNSsIZnj6QqeWGH/wID/zoHVftGJe//DrMQsSR//uBq3aMKswLb8YtzQEgH3oc+bnPQyJzgLBmehgzvOfOyZhQ+DC0X37oOfzQJ++sBgOUENmE+1TN/ctJsHmWJjNnaTy2vyZe2MqQyrdvgTQLiMI9sACZp35l+HcSqQg3HSrPbGUaoGc1I55SONBkom8Ml3oJoVI0g4BDYUAUKjJnOd8ZsNYdoDNNFCsSbbxRXAqboWLlI4RAKUkrVMRSUkyslxmKoDT6hfAXkrfZy4ClYcfEcLvRuwK5X8sLxUv/hBQoIQiUZGAdvdSwmWXe3yIEibFkpjDofWVtI3zKV2ssoZQoJdG5NqQIwqLaq5JgiJILpdYSSEmgfKG+omvVECzrhoREOIfJq1oP09u64bkV21W+1/0osDpDPdphwGNrHdb6g5Hhp5RkZbGFAzYHk8nA/RsdsjnHjXNzLAT1KWediq+IUAgB8db0tWKUUFYfge1QIAVcTK58oHQGGWv9vDDlsMdkubejSiqEMCPHVQLUFh+zw7HdY9Fk/hqrI2IzPLUhjOP6f/MRHvq/vpDRtBZT4BhJv7kdNu44imkHHP/vn9llL3cG8wXPxs01Ka4me+oY9rqjoxvtoNs29M+pvWS4mYV97A4dm/Cj976K3zv7bLQTo/UWisdqb7LmxaeKFaAcNqr/4gYn9Z4JRTSXVkyl0eNoI3EExLsgFE5RW+uijlQ0LghkpYSSGoDa+ljagT7TxhKERU4rbrQNZuO9Hgf6idiKA1ZaDa5dbHO03UQ7x2PrHR66uMFmd0AoHKH0WZjKGgiVmfdSaWD9KxCChlQEQpVi5q3346JidVEvYrwUltjyotRIjIY25QXwlEDmaVUdIKVABoLMWYzw6V8DJVhqRTQjhbHe8C+KxVnnfA5+mbeDqH1QFqLo0uh3jkFiUEIQK4nK9y84gnWjCoyqONu64ffgz6j4r9BNVJ5jMzZx1VB1BI19y0XI3RQ4YF4FLATh1hE7up2KQUAYNQnjFmHcQoUtZNBEyAAlBY0ooBEFxGEwdgnUXBEj59BUgiONK/MSbPRT1vrJhNo3/rrOjH9tJRKTsNMeWGPRqZ74muGpC6kdp37k4whtue4n/prTP/IxTv/Ix7jhBz7OM77vLlb+8FFfDCwT/nUFRALASUH31hUe+476mhb7AXPHc3HtIZEAyMV/468dIF2QbF4bjL061xycucZf+IVf4IYbbqDRaPCiF72ID33oQxO3/c3f/E1e85rXcOTIERYWFrjzzjt3VB/raiBzkoFRaLs7U8xFdiKRKJCc0CAgOZmRXOtfpml3HGIjSjFQ/Q7GSJK0fjJqYr8nEIkqbOBfjQuMEIlhI6OvnV+pM4/01cDBuVvUYK4Z0wgVvUyz0U9J8oIjDSnppb72QqpNLhbeIhKGEc+E308RC4moWmeV0CZRLhKIahsVwcFWg6kw6Ipq1SUZyScVHAKs10Y4NyqGVgIMEAcKa2GQ+UxOPivT0CNg8aFHKtc/wDDAaZI96azzhe1CXylcSoE2tpIMQYy8c4Iy9slah1KeRo0FMVXCnYQQeejWDE9VFOFs2yEIm2PXC4CQIUKoMe/DFfdBgJbjD6tPXl4ntePCitTZbYtoXnlAqiAA9LT9iu9r0iYz7vyUh+pprv2JuwnWkrGZwaU/OYvsWy69/tSu23dKYBtX8dEaqNprcbwjEG5osoXJfUnbAt0StQWK3U7t2yc5hvzXf/3Xectb3sIv/MIv8LKXvYxf/MVf5HWvex333nsvp06N/44f/OAHec1rXsOP/diPsbS0xDvf+U7e8IY38NGPfpTbb799H07iicNOIjWdgORENlb0zq9kX2xrnSiyR1tjy6UWWCFgK3G4Au6000eLE4LeEUnrwuQdZLo3r4Q/EDPNRA0ONJmQVtBLNFJAHAi0EXQGKb0kY5DqvPZCTiREJV0qDI1cJ8D5UKH5OCRWAdgiDMpvUkYriWEIEFSuwWL2tcokRN16UQqwccN0tUWVapMbVZEQSCFItfEZl5Qs2xeioDE5Iym4jPDaCS0Fzha+iXLuelTYUHonINGGKFAE0odJla1vucGIyj7WOoJAIgXDyt3V8xbDL2pGJZ4emOblqM9ptnP0reNCZmsfjIk1tffbKA5wwGBQN2W1ewgEQTD5tmityZMLzHCQEa7Wh+6pvkF19jammp/beMJ0E9tBGEfzzz89cb25/TjZDUt7O8aTHPbxkz/5k3z7t387/+Sf/BMAfvqnf5r3vve9vP3tb+fHf/zHx7b/6Z/+6ZHPP/ZjP8Z73vMefud3fufAkYmdopZI7FfbicJejnF12o5swmxVjTZkP2ADQX9lMlNprLo9k4kne7w/VXGgyYTKDevNJKPTT+klmiTzJKL0RlRjdYqZz2Jq0QnvLXCCVhTQDALUCF3IN69M3/psr66yRcXNIERFK1GQkMrFlJMG7/koqI2orkYAgZA0A8V6omkoSSNQLEQh2ujc0yJwIi8olzclJAgpCQJLlhXcoXrFVs6p8p1kxhIHilBJEl0J2qrO+grAiuHIdz5MSkjygn6VMKpyV4ezezUzZ9gtnHN0khTjHGoCETjeahAGkq7VtOXkW0Go9hYN6SjSHYyjZxyXteVK7++yDOubjsPtCClhM0nLwotTESiEmHK+YufhATN8/qH1yTUO/cEZosf722+8C2QveiauHfp48u3GobUEn3wYsd6buIlInppheRsbGyOf4zgmjuOx7dI05a677uL7vu/7Rpa/9rWv5cMf/vCOjmWtZXNzk5WVld13+CpAJNPvu0ILZCawocOFUwaD2tsNK+uHhA1da/m6gcKuRfVEYhuMW1rjaFxiZ+6Xok3rSs1FHWY5N64eDjSZ2Bwk6F5GP8tIUkOmbTlr6LYO03KyXAyDzHP3g1KS+Sgk9uWcx8L8h0LqPMTIDUOlyqxHxauYmS+CoQQgXC7odiVjKAvf4Shk4UXYhhK+EF8nFQRS0gwVzSigHYf0Mk2a+WxOw6AtDyn9uWhtRr0rI6Qi/y7yytbG+mMrIVBS4IpCdNXti++gYpRaC0GQZ8FiGO3lijCsqidkhn3DZ8+ve41Mjl6aAa40+K119DM/s1pkerLOISu/3TXtpvfERSFKCDaNNygmEYrttBfbY/JjQwO70F4DEASSOA5IxgwiwUrLx/A2Qj89QBTRSVPMNEIh8Kx8hhl2iXAtIX6ku+/tZs+/AQB7bNmHmgqQ2tbEmQ4hnEOsdfa9L2O4CmEf11133cjiH/qhH+Ktb33r2OYXL17EGMOxY8dGlh87doxz587t6JA/8RM/Qbfb5Ru+4Rt21eUrwX+47+UMzFBfcPf6idHbowORSf/Z1N93RZZP0hn/HJcuTwgziVDscfrbajnxSe60xKW7vGdO8U7Eq/6vGuQTlGKHp/FETPTMwpxqcaDJxKXNPtpKLxbODfWtv00RhlOG/YwwBS9SbUUB7TD3Sgwn3xGMl6WrirJL0bGo/BViLETIFQXeytytlKTCudHYqTwii1gpAqUwrghq8tmeQiUx1qewLY5ZGEhKCkSgSFM7SqYqug4x7Hx5HibXQPi2i7CwocNleMKiUiBvaGS6XBSOIxeGXyUf5uc5Hry0yfnuYCxpRSAFWvn8YtY5EjOqMfAV3B3XzrUQwOFmg7AySLW1bFJPKNQ+aF6c9eNRyNGrqWcdXbP7u6lSkkYem14QCoFgoRnQjkaDdONA0csEW4Om4lBxeM7H+loHZ7uDXfdnhs8TVKJHq2h9ep32Jy7v66GcEJhbrsFee3h0uQKnx++woj9APHYp3+jgWipnzpxhYWGh/Fznlahi64SHc25HkyDvfve7eetb38p73vMejh49uu32e8EvPvCFvOfSc0nt6L1JiNyLr3MSMUH0L7R/+AojRgxrYQQynUAo9iGORmQS2wmRc1kuxvZwA4Xr763CejmpWjnlaB2C7tY46+Kgo4udAt0crotGHVozPIE40GSi289QQTiM5x/9h6FWoB5C+GxKrUZArGTJ8Kso7f6REB9Kw7rM6iRAVorWFRa3c64sGOfILx4B01ITCgQKQSglg8zQU5pQKgaZwZQibt+oyrUgLmdMRXYoa4a+BVf5SzUMS/hjGesQoSAWikTbkZ55EbVvQQrKWhjVRp11PoSk8l0X3ooZ9g+PrnVQNfH82jq0NVMfHBY41mxMDHnS1rLpNCIQzFWOIff4IzpbEUrbIcUdOFg3jt5OQo+mQEpJFAVkqaEVKYSAhbj+thYHirlGRKjUyLIjC23Ak+rtyIQUXlC4vfh7hqclRP371qfXWfrAY7Q+tb4vh3Ghwl5zGCcF5sYT9dsogby4huhW9B+9AfLRC8PP2xjh0dlN9KEm2ZH2HjrLvs/ULiwsjJCJSTh8+DBKqTEvxPnz58e8FVvx67/+63z7t387v/Ebv8GXfumX7rrLO8X/ePgFyGaN8S1AWOH1BVMgtJh4ixdGIJOcUERbrJgdT+vXQPt+mSzwbeROCGHB9fdOJoCycnyQR+OFm5O/BxMzkgXKKdCtoW22HZnQTYlKHWq37vD8ODPPxDgONJkowpVKEXDVnh1zUQwXCpl7FfI0rE5SGvxV43v8yVFKn4eeiLwuw3ACNw9pyr0g1cJuo237/ruiGvZIJIinGrGSrA9S3MDR15ZekpJmxpOWfEspBdI6tB1WAQ6UxOhqBitKT8SQiAzfO0BJSawEvcyUWZ2EwBf4y9MOFpkGfTE631+JyGe+q1+2QAg3Kkif4SkPi8MwrrHYbpbPFQx7zCXnRozuqv2dWke2Twa5FNCOFEvN6ekJW2HIynyLVly/nRCw3IxZ7U+uqyGE8jOJbh9Kd8/w1MXkyLxaBBcHBGv7UA0YcFGAueYQ5jnTM0q5QMDjl5Fnp3hDjIUpmqf4wVX0UmNPZOLJFKRGUcSLXvQi3ve+9/E1X/M15fL3ve99fNVXfdXE/d797nfzj//xP+bd7343X/mVX7nb7j7lUCvpsvib5IQvVxjhw6K3ejWMQFRCmEw3HNlH7NMtUFhfNyJam24sOAGmCSaePEhME9QUuVLWFqhMopLdd34mwK7HwSYT5GFHVSJRY6CUxrQUPo5USf9eCZCCrtEkzhKKYTG2YXCRP4qoNCSEn6UXsprL31XCrKpxS0OyM+ohyD+NsIt8l3wCoJGHHW0OMqTQeTVpH2gl8RfXsHyGwzgIkESRIs1sqYuAYciSlLLUeciceDTCkMVWjJTQSbX3fuANSF8xvPgmHNaANZ4wWeErb0spcsF7fqyctYg8K9UMBwORlKyE9dWy6whFKap2PryqTGsvPJG2U6qfz0uBcbA2hVBslKJpN1UUHSpJcxsisRNIIbh+eX4qmZjh6Yv0SAO9GJEea47ek3cQtbnx0mMEGykr5yZXoXaLc+V7sdGdGIbk5prbEomdwukMoaZ7Jw46vud7vod/9I/+ES9+8Yu58847+S//5b/w8MMP853f+Z0AfP/3fz+PPvoov/RLvwR4IvHN3/zNvO1tb+OOO+4ovRrNZpPFxcUn7Tz2DAm2MeGeW0MoChIhU4lIBWbOeFsidJ5ITBGAO5XbR1P0+8KKHV07ItueSOwIApJlaF2d3AczbIMDTyaAMpyozjAXkBdrE0iVv1dFqJE3/lNjSaylrbwQ2YrRhkQ+re+1EYWYNQ8uclsy1eTkoRodXl5P1WbL91sE3+XGglAoQinJjEFbb5yFchimZK0jdRZjhgQkCCQKQX+gcXbIJGROhKSQSCUIlS80ttCMOLrQ5PBcg16q2RhkDLQpM0VZk892OEeZzjZXdjvrEEFe7K5iaBahXkIIwmDvbtAZ9o44UHv2EhWEohjvAoOsBAYW2ZKkZCqRGGuzKuDJ0cs0n7o4nHENg4DSXzhk9gRS0AoUkXMMnoCCcc1IEUqFral9AfjkBzMcKGSHYmwkWX3NNXReWNEmjN2rdw/XbuCed9NwwSc+C2megjbNENVxYwyim+DaTwAJcA7ZSwkuj2d8EtkO9UNPctjHN37jN3Lp0iV+5Ed+hLNnz3Lrrbfy+7//+5w+fRqAs2fP8vDDD5fb/+Iv/iJaa970pjfxpje9qVz+Ld/yLbzrXe/a6xlcFchM7HUIloRCFFEFPYmsEIZgLQAJeknDTkTVU34r4byOo9x0a3PVk5G+OJ18IhKLCbAKbFT/bdod1m+ZhTmN4+CTiQkEwr/xhrdUAhlIUD6UowyLgjIMo2c0CyoglAqVm0ulEDl/SSHyfYvwDU8q6saf9x9sDZOyuW5ClN4E3KhguzpOlYBmGNDPMmweSRLkxMgYmy/z/ZBlBimQSnrxtrZlZikpRO6JCGg2Qg61I04eanN8scVyMyZQgsc3+pxd77PaTzG64lkpMlzlkSxFaFbhu5HK6y4KnUZBJKJQsRDVz3TPcOVQUkwRREtETdG3AqeOz0MmyvTDJUTt24lwzqGEZlKqV2BHKVitc17sb7ymqEjz6nCkxnLP+Ysj22d6+KQJlEJKiZKSY/MtnnVkmUGmufeR8/m2ezPoQyXJzDgZigPJ869Z4fpDczV7eQySjL94/917Ov4MTywe/4fPZHDD/OQNJNs+9GVfIwf14841ItwLnz267LZnlu/F5x7BXVzzJMJY5HqP8GP3kd7xbH9RTgjL2zHqQhDz5U5rGp94jMYnHhtbrd3+1nC5mviu7/ouvuu7vqt23VaC8IEPfODqd6gOlsnZtyxTw4biC5Js0Y0Z5UJZZJ761Upf5Ha7PqgNNbmyu4XgcoCe22YyyPlJRqEFSHDVZ4/z+o2RftqR1fnCPHSpAYMjjub5fLJoj/MxTk1oQ4CTgmRZkSzXT3KadDYZtFscbDJR1GqouNJKXYDMw3OUD2dyInfxDW3k8r1w0NeGLHS0ZKEpcDivOEbmSRacK/QQDAXGriAOeTBUNepJlN1ia54pV/aj2iFRvhXO96MdBlwuiIhzuQjbZ8eR1TCnwkgUgjBUNBshmTaltiMMFK0o5MhCi1NH5jg632C+HRFKnzrTOmjFIStzMY+sSrIyJjwnVBQu0oonxnnDUSqRC1OHnqAwUJxYanHtUoMPXvEPO0Mdjiw2CcL6SzYMBXE0fTZpLTQsZ2qENFQJSpDrZ56IwLRLmWWzIJ9uSES1dfzNhQtT9gRtDNJZrl1Y5JYjywA0woAX3nAS6xx/df+jtSlgi6xr0yAE3HZsmb85d2nMfvzC649wcmm8yusMMxz+7YdZ+Mj5seUuULiXPHfqvu7Ga+EZJxGPXoAHvFEvugnxH9+NU5L0S1/gq15vhbFMCpUa2UwaRFTj5egliB16EKdBFLWT9gH71c5TEpsh6HpiGPQg3Jh+/w7XBXrFjBCKpZMbzB/xqYgHg5BzZ5exdh/u4Ns8CGQmEIVg3OYhTcW6bTwMZVi6ohR0uwB6J7191n5M1JOuStTUNAwOQasmK7AdOrf3hNl4r8fBJhNFOA34cKM8lEkqgQxzxszQq4AQaG1z+3ioXLD4dJqpMzgRoNQwKawQeH2AtaMXWJGWKf88MiQc+f7VGMWCbvhCe8M6DOM3kIJSCKAZKJQUZMZvrQsjqbiOK1wkEJIoULTjCIWiP9AI4UnCyeU21620OTzfohGFBCqvK4Eon0dxELDQionDgEGqfc2IMqJr6KWphpuUOoncfSoEhCrgxFKTl958nMw8NYsifb4iCgRywh01cZYLesDRoLEPRyoGzji2u32KHWRLuunwMs84tDS2XArBi2+8lr/87Bl/rLwZKQVHFtrEORlzbpzgF50b6C63HB7/DubiWcje0w1OsjMDY/JwRhRu44kHmeAZqLbx4FnEI+NkRBhL/Ed/RfK6F+cL8qeDgPCuTyMvd3BKgHW1Yk4bSh74919Qe8zj7/oU7b9bndqvHWEW9vGE4eRzziPj+tnzRiPj5DWXeeTMoT0fJ+jK6d6JPf5OTjGSlamEgO41jvYjWwwrAemiw27jpBMWrvlQveZt41RINr8P9/DZeK/FwSYTpTBaECgQgUCEPqQpkDKfaXUoKVhpxmhreXyzT2a8JsDlN3lPRhzaOWye6Ym83oIrJn9cSQNK4lIJdKIcYSXBcEPRaqXOQxHaNOIWgeHsP5XxVVB4Kllx8oM6nM+4lNN1mWspbO7RWJlvkKaGw3MxxxeaHF1oEYcBSikQnkBY56lM8ZgLlKQdhTTDgE0hMJW+Vfs8rFUhyr9S+lj5UCmOL7a5/fpDHF9u0+3N8vY/nRBsE+K0EzyemIkpYQMpuP3IYf7q/HTvxHb4gmf6olcf+9wjWOv4F698LkfmmuX6v370Mn/x4GgoFc4x0PtfcGyGpy4e/r7nkx1tbr/hFBz/r/fR/uRa7TqhDeLDf4N92Qt2fwAH8e9/HIDky1+EU5LHv1ChXzn0eCz96WMc+t2HR3azDTWRSMzw+YlgLRgJOdoNZCImh0mxP/qH7rX++dB+xNs3nesNthIxrQYC1Rvtg9CTicQMVx8HnEzkxCGUiNCH2bTjkOPzTY62GkRSkebx00txQD/TSARnNjo444toFWFKxkFPGxJlCGtmRodhfmI0fKkaLwW+HkURsrTleiv8EoXDotAeVOs+uJw4DIymk2n62qeCZWTyq2AUuSBW+uxS1jp6g4xWHHHD0UUON2MagSIOJFIqvD9GFD0vCXYRhi+FoBEqFlsRFzs9rBtuW3S0FFdXvhQf2iSJAjgy3+TFzzjM4nwDbS2Z3rsbfYYnDpmznMt6nJygzbCAVGrXVbEfTQzJHmtLXAlecuO1fPnNR7wAvYLbr1nh9mtWeGStx2//3SM450hmROJpCb0Q8uAPv+iqtH3tT32CxsNP3LiJ//AuHnzrizCt0fG89sqTrL3yJM3PrHPyP38SvRjx0L954RPSp1mqzKcOokhz+tRFHv3E8foN9hjmowZyatX1/Ub3Wodp2rF+m4bDNBwiE4SbApXAiQ8/MURiNt7rcaDJRNgKCeIgT18qWAxDbju5zC3HlgilotPTOGeJQ4kUsNod0Ek1Zzd7aGF91WYoK1cnxpBYS0tREVVIb4KLCkeoyhwK7wjVZcUHN9RWbF0rctM+F4kjQDtLTxvWBimbSUaqDRYIVcWoB+8lyY16R67jkL5f1ln6iSYzlsPzTSS+fZULt4uWKETZgBTSe2FwBEqx3IoJA+VTwFY7nP9beFCKIn1SSBpRwJG5Bs+7bplbrllEBZJ+alBze0/ZOcP2eM6RZW441Ob9948LKa8EIXBsP6peO7h7YzxH31wYTCycd/Uw+XjXLLX4zpfeRCfJ+K8fuWdqKw9dWOWalQVW5ma6iYOC9FiTM//n8/bcjjCOZ/yrvxxfsYcK7lcD/Wcu8rn/+IX5p+nX2ePffAuHf+v+Wq3HFWEW9rFnfPlz7+aFc4/wn973xj21kw0Czn5yfyp5y0HN+MkzQT1V4EJHuuwI+tt3av5MRvcEE8XXOz8os/FegwNNJmRRjEcIIiG5YWmOw80GzdDH/s/Fls1+ymY/Y62bstYf8MDljs8i4zxNqAqmjXMYqlKIoT+CPMip9CSIwj9QCXHKF7rSZVFkanIjoU6lcFuAFY7UWjbTjM1E09eazJq8j34jGQRe4Gwr++eddjnDqSSXQhvLINXIdpMg74qUsjT+RR6WpKQow6QKhFLSjgNCJUmrogh8gT5ZeEKkRClBHCiW2hGnj8xx8/EFjiy2CAOJkD6N5mJjZnhdbdx5+ghfcN1hpIBve8FNrCcpv/nJh8a2u9gdcNHBzc02sZws9tvO1LfGTPVOGOe4Z6Nfq3voZJpWEBDugrAEeY0U2Hll7i+7+QhxMP1ci7ox26FIJT3DAYLAawqmoaqFq4EcaK5/618j9pk4dE9EZYrKxqWAnSSCffCtL8JMm6AR+DSAsO0MspOi+jCZ4UnCP7jlL/jGm/8SJSz/4x+/jbPry/zL/+ebx7aL1x0bf3iM+VeeRy1MiCPKQ7KnwSnK9LCTYAOouyic3H7fSQg3RRlipdsOvQPToM4rMQax7Sn7zWY376uKA00mRGZABvjSEYJWECCQOATNSBFIyVo35XInRWvL2c0e62nm77fSawa8cNkbxe0woBHIEWO9MJiGNrUfuUXa2KHDYNSgL/b3m1Vz83ujJMPQSTWbiaaXZaTGYq3Lib8dCpuBuUhhLXSt2VKTIu+oc7lWosjx7+gnGcZaVKVIHRRhTT7gylqLKQrQOUdmDGlmiANFMwrpJzonMD6trAoUi+2Y44sNDs03aISKlXbEXCtgoR1xzaE55hoRF9cTkI5mGNCbFQC76lBS+JTBQKQEh5oN/uFtN6Kd49fuuR/wRMLmnrLPDrpcH7doq93N0JzXjjT1BY4WA8lSODTWU+u4r9PHTCrIVeQYnvqE8MUUx5fWv5+GcAppmmEGgOPvuI/GIz5Uae2Lj7H26mvKdWo95bqf/MTEtK87gRPQuW6cKlgFxUjeiTEEYOO914vZb8zCPvaGSGki5clBK0q5/tAF/us//M+kRvFd7/6nfpt156tUW0Hng0do33mJ4NDuKq5HayBTP4hMc9yot3u0CgUQbUzwajwNMBvv9TjQZELl+gVn8dksrKMdBsw3IqIgQBuNlJ4oePLg8tAjP+Mf5usC4WdTe5nmkhOIAFpC5RSg0DX4GXxROBnGBkEl7UDFWCp9GgKccHSNYTPJ6KQZA63RxnnDK0+76io1LITwxp82bsy4GhbeHpXDCsBYy0bfE5RWFCJxZWiJcRaroaMNTjicdUh8BevUWASOUEnmGiFrHU8KpIS5RszNx+e57fplbjg2j8hrXcShot0IiGNFGATEYYBzvjJ2b6Cfcg++g4wT7SZRNDor+ZzjizzzyMLIMimgHQU4B1/37Ov5L3fdVxIJgMw5Hk76SAFHw5jlwLcZAYd2MEVvcy8eDtYySyfXxRjn6BpNto0moq8NBENDfzPLeLSzObLNdr14aHUDB1y/sjhxm69+wSkWGgEbm/Vekt3gpS8+xUtvPz1x/WZnwA+97T37cqwZ9obBqTaP/8Obtt0u6GQEa94wW/7Ts8x//FK5ThhLsH5l9Rb00QWSF14/ssxu4x1Jn30CgMbfTQ5TPPM9z8NN8bLtBpdfcw1rX3ysdp1JBvDTs7G8X3CRxUWjFvW33PRhvvzUaHilkpZDc5s4J/ipr3sX//q/fcuIaNoOJN2/XEEEjsbNm0SnfcHBtBty8aGVbfshzNBDoPpebwBgA0e6vIPz2OKdUOl4BeuxInVbEPS8nTTNOxF0BEFPkqzYuqSXu0LQdzg5mdWY9GnCeJ4EHGwyEUq0EJBZhIDVTsLJFUOkJFEgSbWgEUrmWwHayDI9bCwVofCj01pHz3r9RDFp2haKVkWwKYqwpVJwUAltqkwpidIFUAmSEl7U2s00G/2Uns4YZBZtLdZZX2lauLJo15C953oLBwNtCAJVpswUQhAphXFmJKe0yGOwrHMMMs1AG5QSCCcIpCTVlvPdAcL5GWypJMb6943YVxFO04zECBabEecCLx45sdzkedcd5vpjLa4/Ok+7GdJPNdY6AiWYa0W0m2Ep8l6ck2hr6WeW9l4LLs1QIpKSaMtM+2IjohXWexiEgJVmTFaTSz5xPtXxuTThsk6ZUwGnw3jbG8JFDWnFLrfOlZ+Ncwxqir1thXWOx3s9BnkhOu1s+X7Y9+lPj9QY5uKAa5dbPLI6Wr1XCPjy517DStun/1iYa+CAbi/B7KB/k/D1X3YbX/KSG1hemJz9Z7taHzM8cXCRIjsyPc3xsf/xWaJzQ22P6mhU58pT0aS3nECfXPLHjUPs4pWFd9pmhGvVF/h0As5+53NIT+ZtVuet9gLp0MsRfhqhpk+DHY7lWQz5zjAULJY43OywGI9XHwcQwnH60MXaAmy26+/5g08ukDzYIjyawLUpejD9Dh6tj2ZaEpVCeiLPfrkThB1Q/aINgdzCt812MXsW5hd7yKMplx5dGlsddPHnbQTRqvR21LzF7cGcSOcVNpLIKU5Gt5PHw2y81+JAk4kwlBgHMp8pXR2kdFNDZiydQcZmP0NJQTtSJMYbGQtRgLYWrS1pTiJMbmwJIdDOoXNPghjhD8MMT1VBdqmjgHJjRx42ZC1dbeiZlH6mGaQGY42vFVGZKfZcxW3VZ+eZpiAzlijXTTjhQ1oCJXBG5Olh/T9SiFIXAQJtLVJ6kbU2vtBdK1Js9DVCSJpxwFIzYqUdIYVjo5OQSkErcvSN5sJmwvGFmGsOtzh9dJ4jixGtRogBgkCipCAOFXGkcAhSbfM6Sv7cW3FAb1Zn4qrigYubhEpycnF36S0TZ0kMhEhMKFjNJ4EWa+yISxp61tV45TykEDRVQH8Hv7nPVrY7N32BKJAcnW/SjIa3MYEXVZ+ofB9BPjHQbsX0+im6pkJ2uxnx3X/vxVOPd/MtJ6YSiRmeWgjP9Tj2S5/BtgIufN0NY+uP/M/7aX/iMjLZ+2ykXWhijk72ku0WTgnOf9Mz6d+4ULOSqYTCBU+MpTIL+9g9fu/M85gLB7z02Od2tb/pKOgoMh2gZTyVaIYbPqXqJANWGIg2IK0ZalshNahkb2w2jAzzRzaJm0Mm4qzg/D2HR1LPFiFZIRI957DR+Ak4Jeic3I5piH0ZX7PxXo8DTSYiIdEOwjyEZ6ANfZ0x0IZQSzJtGKSabppxuZfQy3xYUWI84fBbnrhMAADJKElEQVQF4EZ/TeMc2lksrkzJWjgipIDCESDclj3z5dpZBsbQTY3vj7OkTmOMxVo7DGNyUAqzi1Ctiq5ia58C5XULzgmiQA3T0+ZMwuslBEpJ4jzUqxEGWOdDpJLUE6dAKhZakvlGRLsdsdCMWG6FZJlGZ4ZQCoRzONGiGQUcmY9ZWohYajfK9p1zhKEiUpI4VISBRFtHP/VkQiJQgUAGgiSbuQ2vJi73UjYHGeySTFRhHfTJPcq57m2hQiqmEQnw24dS0N8mvHwzS0nM9I3KGi0TcPPRJZ51fJkokBwKhtNgUghuODxXu08YKFqNiP4gJasQijBSnDi9yOHj9fuVaM68bAcJQUcz/9eXsJH0ImwBF7/6+nL93D4RiezGo5hD08eONG5qqFP4yGXChy+PLXdS0Hn+FRYhEz7MZDsdhhh//M3wBONTa8d5uLOyazJRwKSKZFONaCOBEWNiGpEA76VQAwEL0wdF2AG5jRRS6unai9axHq3jXYLIML8yTK3sjOBidqS+zUQQAHqOEUIhMmhcFKQL0wd82AORzQb81cKBJhOtIIDMEUpIrcU4y8Yg5XKnj7OGjV7K2fUej2/2udQdsNZPSFKNdrZ053kPhCu1ERZfvM7gCMs8sKIkFHXD1WDRxpIYS19rulrTz4wvgicAlRe7GxFh5xAVDYYrQpWGbRdvlRCEuSEvpch1FkV2Ju9ViULJXDPi8HyLQ3MNjIHNfkYrDnASYhUQ4kOa2nGIkxKZh80o6UPCAikIJMzPBVxLm1ZDcXgxZrPvy+QZ689DCEkUKqQqaleAkhJVeEgCRz8xrG7ubfZ5hquPtlQsBUND2QLdfKzLIoTJbm93ZM5xMUlIrWExnGx497KMbBsyMW3a9aajS9xx/XFOLc9v08Y4wlDhiGCQopoBi8fnCAPJ4cMzj8PTFTK1LH3wHE6AmR+OS7FP8dH6muVtw5qEASbkOwgfuUx871mCxzeu/OCVy8SJLe+fKMzCPp5U2Jgx7cFo+noIejuYBXcgNESbkE65tQZ9kNn0ASYME63L1rEeC89YJz505QVtZSIIBGgA4VB9H2IVrT6BA3423mtxoMnEqUNzPHqph9EW7QSZsax2Bzy22mWtO+D8Zp8za10u9wY+xMh57wAyz7I0Mv7yIm7OG+rG547NL8BSRl3JAOsL3SVWk2hfXK6XeRKROZtnTZJ+mtfmlbTz4ww12kONRSG2Jic1pSA7fzpY52iECuusz0KVG+1CSZT0HoKFVsiR+SZH5lsEUjHILFJKLNCIAtpRgAoUUvkaEr2BRiBohxLpvPA6DmG+HdJu+lmOQAmW5kIubnSJI+glmiCQhIFfJ4TA5ILbQIkyZWdmLGudlM3ejExcbVweJNy/ulm7bif3qjkZsKzGjX8HbOT21nZkInWWS0nK2UEfwXAczAfDW8zAZDmlthOSGOwMzzm+wqmVKycSBaJQEbXbtI+3OXz9MlgLvRTSbcKztPXuyX2owzHDEw/h4NDvntm39jrPW8HGiuxUjFKgrtw2AiB88NLuiESBglBUyMTIhNUMT2l8bvUYf3z/c2vXuQkTKlWYGHS7fl1BILZqGmoO5MN3jBdTu3wWKau0G20CFlSSR2bs8jbYOtHdFZEoIAeCILfLgq4Xk9sQ5DZeBxt470udBmWGveNAk4mbr1nm/EbKIEsweJugP9D0Bhn9TPO5Sxs+Jaa1WOsFTU5UMyGR2/ZiOMHjHNp674RAVEItCk+GXz8wmq42dNKMvtak2pT1K/yULkPy4fLCctV4xlwUIcqbRaUadk4w3PAtqXFeVG586lspBGEsiYKAZhgw1wxZbEUsNmPiIMQ5uPZQg2YzyHmJRClFuxEyyBxCOOLAeyGMMVhniSLB8lzEkeUG7WaAFJLuQLPWS8iMpSEU1kEcSCLlBe0uf2xpbclMUePb0c8MqxsJNRk+Z9hnnFnvcv9GPZkAaIVeJzQJwQ6MYyXBTrgJV4kE+HF/IfF+cCUEKk8dsp72sLnCTUmR62vG2xNCcMux5ZEwp8+eX0dby8nFNvONyV4PB3QSzVw8+dYWtkIWrp1nrghrkhLase9MNuVJkxmfw1/usejRDAcavVsWcUJw8WtvQOeejtY5aD0+gVA4R3BuHVkZtvrYIk5J1KUOsj95wkU4R+tTa/SetTS5Q3lY04jdmU+WTTOvynpK+xRHPsPu8L8fvpm/+PSz6lc6aDah+em1ib+TvTaGleme1WwB5MUJv1OFSBSf40t+MDnlyuXNx73nAsCFDhuIekIhHM1jfWxlvPcvNnFWEC8lqMaUSRsBrcM9ehcne/oEeTaowvsiwTQAJ5B68kA0EQgjUPtQL2Y23sdxoMnEfKuBUJLE+UKkxWz9QjNC5M/7IiWm2+bXF6UlTz536lOiFtoGgw+BSq1hfZCxnqb0MoPJdRDk2aDK+hDDynfDQU9BGdzogSuzSQV5GGaL9WFMmbUEKJRSBErRjEOW2iELjYhWGBKHiiBQRIGiGQUstCJW5mLObw5oBhInFM1Qec1DqmlFkiCQYMEYTRwKDi02uOZQk8X5BplxdPuaxFgurCfMNQJasWKuGRAEohSD5xX6cHiRt9eWOzp977FZmMWZX1U4sX0ptRPzLTYGkw2WeFL8xRb0tSFWaiRLnw9tSjk3GK92DXBuMKApxo+thBchbSUUUghOrczzT7/o1pHt3/G/72UzSXnts05xcnHCNBx+7J1Z7fLs44sTt5k7MTckEgWEgLkGrHbrdxqDGDXequ3M8LTG2X/yrLFCeL3jgITWY5SpNgFwDnWpQ/ODnxrZvvuqZ2EbIc2/fIDgYmfisYR2HH/Hp7j/P90xcZtqeNPoignLaw9Us+1O960++PaK/WrngMBnU5ryRQvoH4Vjb/vkSHrYEXzxCXrPuH7bY6nM4eQWAuDy2foJbTfOC19desvPIjKQzmHD0faEcEQrCce+6OzI9mc/egKTKlZuvUS0NFlwIaTj+Ase5/733zD5RGqK5jkBpgly8pza6HFSjeyOP5dctgOPyWy81+JAk4neIEMJnzYsxRduG1hLZi3NwAuES7hK1VznZ3xEMSYqxrwUkkBKokAhpRcWG2vpW8tGmrLWTxlkBosXUlvr2yqyOJWHy9uuzg6VPogiBVvF8BC5cVJ6rPObu6Cooi0Iw4C5ZsCh+QZHFpq0I4W2AqUUS62IpXaAEl7MvdBuEIaKIzgCKUmML4T3+NqA7kDTjiSthqAVSg7NhRxdbnBosUEjChhklm6i6fc0m72MdqxohCFzzSDvnK9JgRAoKTHWkeUpNxuh8mFPzms12jMusW/IrEVs8TBY5bDbEGW7DzesxFg+s77BDfNzRJVidxeShPPJ7lzWSjiEFGT5w0FKwYmFNm9+5QvGtv32lz0HgM4gQ09L7yqg2QgIwlGXmNH+elWRQk7L1S+FV6JPOwB5qFNd0b/gQN9SZ9gDekd9Ibr5h/KwEudQaz1af/x3Y9u2/+RT4w3UwAF6ZUqezUlEorJ626tf+Bnordmf7B7SKM8wDqlH07ICyIFETNMfOAhWkz17j2QKzYuOwRIlEXb5ZOlEkrINhAbJkFAI6QgXUk688tGxbU98oScXxg1DtydB9yffQ3PzoxYOn7BATLl/exJhCB9ZpXHPeE0X7a6spswMQxzoJ9+nz1wi0zY3+L3GweTvpYAoUOXNVCJQUqAQaGfKGXVvuBfZkCTNQHGoFbPYCEm14fIgZTPN2EwNaabL0KVyPriQURRSiC3XSTmsSy+FAyHxafTzy6rGVyjKNK+SIJS0g4ibji5yZKFJGEYYAc1IsNQIWWxGtGKJwNJNDP3UHzfVhl6qfb+cpJdYLm2mtCNBIBxxqLjmUMzx5SaNOMQJSSc1XmuBn+UV4IvYNUOkgkFqQLj8OxNoY+kNfJhXkLtyAinQ1odltWeeiX3DQ6tdgnD0kl2ej2i3gqm3504y/QaZR/tNbENbx99eXMM6x2fWK1M/Uuy5mJAUjlAKjBOcXJzj/3j17VO3z0vFTAiPgjgKePkXXjO27tzDHbLUsvLMZVqHJ7jQhYClFqz2Rg9Q/WKUhPBA3zZnuIoYHAKnYPEzjuBil9b77tl+pwlwAsxCxMPf98JxYzK3qMbCm8YaGV8/MjEdOJzam6U6S5W5MzTPBKgt4Ze65XxNhim/4XX/6a+mtisyh0gMLp5Qb0jD8icdwnpCUQymbE6gmxNClXYIoXMPRQOixZQTr35k94050InizIeuG/86ZD6UDZOJlfAaj7CzZRxV3jfuOUvzvgu77yOz8T4JB/qpeN/ZVebaLR+H7XycU6IN5zf6CBo0giKu39ekOLHQJHSCB9Y2cTav0CBEPskoaQSKY+0m18y3MMbyudVNNnsp2ngNhbV2qLOQFXujjG0SiDz+3A2v2fzCEHkWJOGJxEixO0rtRpHiVUpJoCSNKGShGXGo2SKMGsgw5rqjczRjyVzkCIR/mqTakGQWk9eWyHRGahy9JKOfwWIzwBjDclNyZDFkoRWwOB+w2IqQSqEdOOOF44H0omopJY1QIqSv52G0BWuJ4qD0RCgpaMWKKBAk2qeHVcITtxuOLXivzQxXDaubKdY5FvbgAupgsMDhCbeDuy5crr+B29xS2QdCcfrQPP/8S6YTCYC5RkQ/9eR1K+JI8Yo7xokEwPFTeVjT3Pa5yFluw+VK6MlCsyK6noUxzTAdyRJsHO1y7bt3TyQATDvkoX/zovqVxfOjKKY6BWNi2epM9Ez+86TCx/47zB6SyS185Byyr7nw9+urvR/6RP0zOOz4mdCsvbd7mjDQbCUcffW4R2IrAmmxzqe43wqdKc782an6He0O77wCsnlBtDE857BH6a1QUzQVM+wNB5pMnN8YIIJwKDYTPm6/009pR14sLKUgVgE3HVnkFbcc5cGzmzyy2aWIFqmKT1tRyNH5FkcX23T6CY1A0VeCxFQrZOeSYwdVBcTIQK8s9OFL/oYvbC6yLrM3lZ8QEoTwmZkaoWK+GbPUjJhvNWi3mqzMNVmZb3ByJWYuEkSBQ0qLRJFmlsxYglwUDYLDiw0sjjOXIOxrFhoK6SytKGC+HdKIFO1mSBwFBEFOGHKypJTEWEOaaqxzXv9hHak2RIFE5GQhzSxSQBhI4iig5bxnaLOvaTcD4ihkfbM+ln6G/cdewvUPion8rFsOs7Q4paqx3Sc39fKVVTCeYYanMiaGsuyHbVWZONuXtma4cuwonq0GT/D3fW1zjVZQr99LBiEPcXpfjhNt1p/YvpzubLzX4kCTidTYYT2HXAfhrGWzn6KtJRWWxWbMzUcX+eJnHmehGfDXn7uMwFeRts6HcDgcC62YW44t85wTy7SjgAsbiuO9PhtJ5rO4VIUPW1h1mXVmKIpAKk9kKDIeWV8MDlkII3w1RiEkUglCpWhHIUutBitzDeZaDRZaDZYXWhxebGO0YakpODrvyUYnydDakWT+rxD+O0iNY6EVEkUBUgoW25pmKBHAcrtV1pxYbIW0mgoplCc8ORHQxiFwbPQSOj2Nc475doC1ljDwVbN7qWajn9EIvSib3PtjHQxSX4tisR3jgGY0m/q62ljvZBxvN/nC04dr17/nUw9P3X8pijgSj8dlOwcf+uzZmj0qKOJTD0q61PW+73Mr2mUDrrx+Z5jhyYYwuf5ul97BotLwXqplTxPw7qatzzcEfYGYzzCnaoTJO/hZOi8+ycYrrie+NLpcOJh7ZPoXGvYcwjrShYORdnGvGcj6L7wO1whp/N02z7UpmI33ehxoMuGMIU0NQvkgIuF8yMXAWqzRHJ5vctvJFW46tkgrCnnsco+zG3209TP5Ah8vGIcBNx1Z4sYji8w1YwSCdiNiZa4B5zeGoUk29yaMcIfhlIAowpzy+gvDlLO5dwKBEgKXe0wEEIchi82Y5XaDxXaT5fkWhxZbLLSbBErgkIBkruE41BYoARfXE6zwIUxae0WIc44ohKNLMYvtBs04YHOgmW+GJEoSKkkjUrTigChU2FyQLZVAKe/NCJFYa+mnBmt9+AkSMu1DwizQTTRRqFhq+XNV0p+PNo40swxSTbsR0moExIFkQpKfGfYRt1+3zG0nlyeuf+OzTvE7953xWceuAELAFz/zBB/63NkrunkrIbj9+Gh/PnX+vPd8bcFX3HoD/+JVt9NNNJ96fH1qu8+79Rit9m5JwBXAPY3u8DPsGbahePgHvqD8rBIwTVcba77wkfMc+Y37n8De7QBPo9nPpyPMNSnmxIRsewIefPdtnP4Hn7hiw9MJ6FwrtyUUY4d00Lwwuk82J2qH0eItaxx76TksgoGZHkJ6ffsSsdqmls9e4WDu7Oz+/WTgQJMJnNcKxEEwTMAiBSg4sdji9lOHuf7QAoGSXO4k3PfYBuc2+2WRNXKtxDMOzXPt4hw4SadvaEaKVhwy1wiJlaIjNEIJnHXeu1DVZgpPEALpjW0jqrkKiioSPg5LCFBKIJykHXvh9EKzwXy7yaHFNkeW5lhsx4Shr0wdSoF1AomhqSCUjkubKWlmiWJFM5LYQKB1niq/oViai5lvRmjryLQlChX9xLCYG2HNKMi9IxYLJNqSaV9V2wGJNvQTTZYZlPBx6GGo2Oz672VzoFnvZyy1I6JcDBvk2SGMEYSBLAlLIAWN6GDMeBxsTJ8lF8Arr6/XEgBs9hPWuvUZmXY0AW9hIQp45uGFiZvccuQon714gdQYfuj1d/Li08cATzykEMw3Qm49ucw9j61OORGxzZnuACtt75UQkLsmKysdDDKYUqOi3G7mnXhao3/jIuf/QZ77XzA286/6oiQUx9/5aVr3rflNjXtiRZVFifpcArj1AnHFPNYUCO090y7cZcdnYR9XF1Lwuf98+8TvJlwNCC/Wr9uJuDoYQJBs48HoOrKWn3w9+epHaV+Ta8ryBAASRyPIGOirn3ClmnV/xBYzcPielP7h6ffvwbOP4eKA5l/tsoDlbLzX4kCTCYfP3BQriXUGI4rfWdAIAlaaMa0oILWQaceFbp+B0YUfAQQsNCKuW5xDCclmPwMEUSBxOBpBQDNSiL4PURpKIQRKQiAVofIhRNpaXzW7EGgXG+cCOSEkgRQsNiIOzbVYbsYgBStL85w4vMBiO2Iu9EJmg8M6g5L+SlVO01CCXuYYpJooUISBJM28TqIRKqJQMNcMaDcDnBBY52jGAf3MMN8MGKSGViPAIkgzg3AQ4nmFcGCtr61REKPU+WxPRQhTM1JEgWShGZBkGmEtFoGSCplXwXb41LAOR2+QIYFef5Zq7akAOcXw3auJvtKKOb3SnhrpJAT83P/nVSy3YtpxSFhTzbARKm4/dQh1pF4TEeykAqIMwNbMfh2dh0DlA77YNhePV6u0e0a9A0Ixw9MV3dsOcemNN+K2mQi59qc+gVpLUH2D2IdCWFuhuhmnfuyvePgHXji+UtZ4RvIuuK3dloyKrmc4cJg2Fl2wD5Ma2w1fB6fe+CDBfIaMLEKO7yBxtIKUdlBfRyKQ0wdhHGe8+ivv4o9/b0LSgWp3cvsq6loW7x/e733GKj2dUAiBOyhhuQcIB/qJKfIiDsZYpBC+9oN1GOPrJKz3Uw7NNUmMY3OQsT5I8yrVLtc5COYaEXONmHYjptPXrPcy0szSimUZgnR2vY9BlF6ISCliJdAWMmPReRakorq2c/jsA64gETDfbHB8vslSKyYIApwTGGdpNyMW2xHtSBJKz0SMMWhjEUrQCBUCizaCIPAhSa1GQBx7HUMcKNpxSKuhiEKJdV4o7fvhkDgy54ikr1q91st89WslwECoIJKCVDt6qcE5h7aWQAniUDHQhkGqaagA45yvvK2kt8OkN1K1dSSZxRpHGEq0NjgJSiqSaRWFZ7gi9AZZbTaKTF9dS+Elp45w18MXx+pVHJlrsdiIiQJ/XWyHhWbMUmtyznyBJwxba0SMYLuHXhhQpqhJUr/D0XmIggkOHDHe5k4IhRKenIwdf6YROuhwocQ2t/8dVVcTdK5e2IZwEKwlXPcf/xqAR/7PF/hCoXVEYgoc5GG6U45lBWw5lUJPsZN+zlJlbg8TATVRmu4q3zK6xyXtx+3Yfc4pTzyFZVj9egpUbFCN6RsK4Xx4dF0/dEQ7SFET4rUsggu0ufHlDwLwuQ+enu5ayQnF1todwkLjkmFwaPIXK5oN5NFxjaG0CWyT3XY23utxRTEob3/723ne857HwsICCwsL3HnnnfzBH/xBud45x1vf+lZOnjxJs9nkFa94BX/3d6MFe5Ik4c1vfjOHDx+m3W7zxje+kUce2V1uYmcdWlsGiSGQQ4PGOV+tt5Po0qi+tJmwkWQ+brzQPAhYaEa0GyHNOERKxSC1XO6kPL6WsNbVRCpAIQmEoBUFtGOf07+X6jxFpfdI2DL8yWslpJDEYcDhuSbXH1rkxiOLnFiaIwojUu37eHihybHlNs1QorAYY8i0RjpLO4D5SNAOIcrDiCIlfCG4RkgQSJqNgFYjIAwl5N4BbXwBOa1tqemQwpMQ43whIufLVJdelKJqdeElD6REKUE3MVjj8u9VkKSe5EgpkMpnnhLCkzlrLYEc6nADJQlD5b0bM+wLnHW1r+2qaA6yvd2xmhVD/NqleW44tMQNh5ZYbjXyWi6SzDxBMz2TDiPwhryAshhFFEEUD5dfCRyQTnhwKumJRHGcra8ZDjSa962y8vsPPtndALyxEV0YEF0YcPLn7uGan/sEsn/lBMbB5Ke9ACeHz4OR144ad/v7erpC1L+2I4Y62ducr61EHtnAf7ahL7DohPB/n4BpZYugZyK0HR+I2koe6y+SOUnUTonaKdff+QjXv/QMKrzyCUlpHI3LpnYMx+f7NB/tIYKg9rUtZuO9FldEJq699lr+w3/4D3z84x/n4x//OK961av4qq/6qpIw/Mf/+B/5yZ/8SX7u536Oj33sYxw/fpzXvOY1bG4OC1295S1v4bd+67f4tV/7Nf78z/+cTqfD61//eoy58gFjrcNaR5IapCMv8iZAesG0VIIgkMw3A7Q1pNVjCL99KwwIVF61WTjCQBIGKp/ht6y0YlbaMaHwmokksyTakhpbZoLKm/OaCOm9CcutmGuX5zi5NM/KfAspFJ2+Ya2TeQFzO+LYcotWrJDCkRkNztAKBe3IS7e1NvQSjbWORjQUUMeRQilBHEmCQJYhLNo6Em1xlrwqtSc52jqv1ci9CkoUdSQEQR6mBcMIEE8OKCsNKynoZyav6C1y/YcgDH2VcOc8AWlGyssxcnKSGXvFot8Zrhz3ndvg3sfWxpY7HPdc2OC+yxu7a9jB+c2E85sJh+aaXLu0wFwc0QwDmmGQFymkzOT1pEHkXoKtD2Up9pZlyrrxh1GVSMzwtITqasILT73MEY2HOzQe6uw6pKp2LwHu6TQ9egAh1wLE5RqtgYPwvgaNz+0u6YRw0D5naZ+zyMxhA3BS4IR/DW+YeytcdyWoq4CdWcX5ZJ7EjhryzaU+zaU+YpfjU9Z48eNzPZqPdFCDqywE/zzEFfHRN7zhDSOff/RHf5S3v/3tfOQjH+E5z3kOP/3TP80P/uAP8vf+3t8D4L//9//OsWPH+NVf/VW+4zu+g/X1dd7xjnfwy7/8y3zpl34pAL/yK7/Cddddx/vf/36+7Mu+7Io6X0yua2sx2iIj5UOBQi+gbjcipPJVmTPjPQhFrJ1gWPPBWId1PlQqjhSBBGfx2aHimOVWg4ubCZm2WOeNdVfoIor5fwGR8l6DhVbEfCOmGcYgJElmSVPjZ5ERaONQSjLfVDSVJRCQ4Y8v8cXxtLVo57cXkSIIZF43Q+ax445AgUL6mhl+U2wexgXk4U6iJBvOUZKKQPoK1VIKnPHhS4GSZK5g8/l6AcY5AimJQlF+llIQBIrMeDqlpEApibWOUDikkmTaDsXuM1w1POv4Il9y0wlOLPrKR5tJxh995jGcg4s9H7/64LoXzF0330ZtY2Bb61jtZzigl4epNcOQdhBOtKGtg8yKPFRvl5ACubBDAV9xmDx72lUrlKGNF2wX31lOoJ5OwrkZxhE+3mPxTx9h/ZXXPtld2V9svU5qRNtX3OQs7GNPOLqyzqHrVnEtf69NByEP/s014EBd9iZa44z/m5zU24ZFCQvNSz6sKexWvtBpv7PwYU87CXea2IRwxFtjjmpwtrdQZn6KpKYRavrbZILaLaJNi27JYY3HOMA2AtQuvHsFZuO9Hrt2bhlj+I3f+A263S533nknDzzwAOfOneO1r31tuU0cx7z85S/nwx/+MN/xHd/BXXfdRZZlI9ucPHmSW2+9lQ9/+MMTyUSSJCTJUNSzsZHPtOZswllIMkszDlCBYr4ZcXK5zfGlFo04YHVzQGqNF0gDxVWlpChDpeI8+5BzjkDiU7xaASjmGhHWMWIYV4m9ABphwGIzZqEV04qj/5e9f4+WJbvrO8HPb+8dEfk4j/use29V3Sqp9CgkhGRR4iHZYAMWuIxlTBuLtZiW6dW41wBr2ZYfy7bAHjReY2P3uBsxchvGa+HR0N1YzBpaeFYbZIu2BcYgjGQKJIQRQiWpVLr1uu9zTmZGxN57/vjtiHyczPM+995zK79rRdU9mZERkZk7d/x++/f7fr8UmcNg2Rh5AoGQvCDyzCIirHYd1kZiqLVa4FRitfLqYq2VDl1BcFbo5hq4d5xpKwTWqMd87bUmHYlUtcq6+hDxEfJMFZZ8BBujmvQZwZmUWJC8NhIfApLca9AqRkQTMOsMmRO819KcswYxQqxjK2wjIlirSdig0oxrJ+LvEvOxcLzPwdc/9gDf+Uce5fWXTrWPvbg54su3p9WZXtzSv60Il1Z6OCOc6hR0neNM0eHiSo+bw5JPP3eNECO3R/ubbCPgAyyiO3zrGy+z0ndtn+tcGMH03c5ljtn2ixh37xPYqqHnDlalyJ22SU2+dl7FYomF2M94vlfgbpX0P31tYTKx/ivPHqjd6Chw6t9/mevf8iD+AK73c38qaSFqiaPBfsb7+UvXeeRVz3Pq7Lh7Y0CHZ56f/m6zq5pBRAPlhVrbktI05LuR8rzHbUHvGUECUw7Qe0FEuTiLkomVJ64T852PGaOwWeecyhdX9a4Pe7wwWGmTCWcCq/mQfrZAGhc4+6rrXP3DM9TlwVqmJbQrv9QrOXWvJLs+X71wiYNj37qdn/zkJ1lZWaEoCr7/+7+fD33oQ7z+9a/nueeeA+DChQtT+1+4cKF97rnnniPPc06fPr1wn3n40R/9UdbX19vt8uXLAFPlsrIOWKBjLRdWOrzq3CoPnlmhcJbNYU2ZWm7awNdAZgxOLDEKeebIs7QSHwJl5RnVgTqg6jPOpgRi3BstIpi0Ir/azTnd79AviqRwZHFppd6gErTWCP2O48xawcXTBZ1MGFWeqlbic4iqTiUCuTP0Cku/4+jkjsyqmpK1WtloiOR1KnmHoETcslafiLIOhBSUmVSNCIl43sjAhjhuFQvo+UM6f5Kg0kqIGe8X43R7lBFRjkXqkYoIlY8Mylp7+pdtTvvGovE+D1//2PmpRAKgm1ne8vDZufs/tzlgJc841+tyod/j4kqfR0+v8fgDZ3nN+dM8sNLn1oIScB22k/gmUTjLq8+tbdv+2Fdc4k/9kcv0+w6TCdJszezjDLKSYXpud97B7Pn30mM1qA8e/HezOUnIMVZC7kPsZzzfS4gy0V8+sa3+5vOs//svYYZ3R1zi1EevYGeJ30dQYTgw4hFvJxz7Ge/nL92YSiQAbO65+Nh8rdf8RYtUklqJdcHTdyLlOU951hO7geLm/A/R1DDfLUIRRfAF27beV95i9Ws0mfDREKJK1jfxV4jCwGds1TnXRz1uV/PV+G6Mujw/WJ3yo6iDYbPauY3rzCuvT/EmooWQR0Ieibvk077TtHRNPNbPqNcO4Ve0HO9zse9k4vHHH+epp57iYx/7GD/wAz/A937v9/LpT3+6fV5mvrixctJi7LbPe97zHm7evNluzzwzqw+srUoO4eJKl1efW+fRc2ucWukQRRhWns2ybr83Y8aO070iAzHkztLJHN3C4awhiiDGYqy2TK12c4wYNaOTZDqXTOo6uVYl+p2cInfkmSNzKgWbO+URqJSsYa2fcel0wUph6DhD8IGNUd0axTkrdAtHNyUSK92MbqFVCSPCsAqJaB0YVZ5h5dt7iA8R79VfwiT+hjHj2KzyAU9SnAIqnxyvRdu9QlAXbUSrGUDLgfA+6DbBv9DqiErpNslFiHptmVH53LBsc9o3Fo13H6a3r7h4igdWu9tev5I7/vTji30lLq70uby2Si+bnolPdzt83aMXF75uFDxhwezXzSyvOrvCWx45t21751tfRd6MpwxsrptkguQG03fYU/m4xcksIDMvUqOJcX+kjUmytJXF5ZR8AXHbMCYYLbErdp+/7z3Uqxlbj68RirhtO/O/P42p7rLWqiz4NwdpnZBDBTVN28dRbScdi8a7qae3U2c26Ha3r8jnnYrHvnqxKE2TRMx+Z3Ufbr1m8bi0o7h4Dk2Jc9WTbdv6H38RcfpCH4U6Gupo2n8PfMZGVbBZ50SEF4d9NuuCzXqs3He77PDlzXVGfnszTIi7G95NJvO+E6m7UHehXIHh6fkTsc/mZ9jVqYLhgyvUKwfnoizH+3bsu80pz3Ne/epXA/CWt7yF3/zN3+THf/zH+dt/+28DWn24dOlSu/8LL7zQVisuXrxIWZZcv359qjrxwgsv8La3vW3hOYuioCi2S0q29KGWuyA8dm6NNz5ylgfPrtIpMiUwR9goq7TYrpKnZ7oFZzpdulnGsPSEGMkzQ5EZYnQMa5+Y9sKoilxY73FtYwtiIPrxOY0IK0VGJ1cid6/QhKSuIxtbPlU6tDLRzQxnV3PO9C0+eMqBBu+ZMWTO0C8cvUL5EbZNVgy5MwxGIS2QqnRrBKoQqDx4o70jpfdKtjaSHK8d1qmKQgzaDpVlEUErMLWP6nUUNAnwUSs2hXM4KwwHNT4EIiElUjr4c2cBrY7UIVVADJionIrCGcRrBcMs9Zz3jUXjvSpVNavB17/iPJdP9+/kpc1Fk0h87aNn9vU644DCQm/OjaQZN4GULOxwoAj4uLMs66KKhzHQzSHOKbOvdhYnDE2Vcll52xWLxvO9inrFsfHEOa5+x6N3+1J2xqKxGXd4auF0nMbycro+NBaNdzsEOzFdXDx/nZXVe4DoL6ry5PcZW4colN7N4TsIzw9WAXiwF/BB+OLt09TbDFAUdbBcH3Q5Pb+goft0SBzSaVQrwvWvsJz9lKe4OX2TCLlZON6rtQIehJXPXFt80iX2hUPbE8cYGY1GvPKVr+TixYt85CMfaZ8ry5Jf/uVfbhOFJ554gizLpva5cuUKn/rUp3ZMJhYiJQcmOeNWPpI5S7fIcc5qKTAo/8FYk3r6DZfW+rzp0nkeXl/DimVUNcpMwqiO+CgUeYZ1Dmst1hkePrNCUWRtgN/AGsNKkWOwbI48wyq0rUQhjhdZc2c4f6rgkbMFqx1HWQduD2r6Hcu5tZxzawXr/YxO4bBWrzd3hk5aNS2TglTlI1sjr0F84kD4EBiWNcPSU9Wh5VREtE0rAkWmCYs1ynUgVS2sNLFYTC7aGf1eTpY7jFEpWRGjRHcPndzpNRqjrVmpSlLV6TOc+L37JFG7xPHgJz/6+/ynz724r9esF/mePCEWYV7s/PCp3r4TiT3DyN4Mt0SUKL1o2ympNUYTh7Xu9LZbGbo55H0q9fdyxdbrT/PSn7vHE4ndEJVMu23b5WXiIdtI2+ZezxWPdnuZ4A8/cZmrz67v6zUhP1zCpyvh059xsPtPJPaKL2+t89mb5xcmEg3qYLiysbpwmycn2762K1z9KoupwtTWuVYpX2IBohXqnqM8NbGtL6VhD4p9VSZ+6Id+iCeffJLLly9z+/ZtPvjBD/LRj36UD3/4w4gI7373u/mH//Af8prXvIbXvOY1/MN/+A/p9Xp8z/d8DwDr6+t83/d9H3/jb/wNzp49y5kzZ/ibf/Nv8lVf9VWtutP+oL+qmCoIIajakXVWE4OyZmtQavvTWpfnN7awzvCGB8+y4gqeuzFkc1Ry8XSPfuG4vjHkpVsjYhS6Hcdq17HazekVqmKz1ssZlhUxdQuKEVY7Ob1cORXGWIpMDekqrz96Zw0Yy+m1nFdf7LPazzS4d7blUGjiYFtCdZaZRGiNDCqVh3UiZNZR+oCg3g910CSj9mBEydlNO5W1grOWPLdKlPaRbmbJMqu+GCFqUoH2UQqaGBW59q3XdcBHMFY5E3UiXZ9aLTCZVa+NUa0KWFniTKCJjfeeqvI4uxPbdonjhAh052hmv+M1j25rb5p9XW7ttIzy5PNGnaonE5JiL87Uh8Fuw0g4gmWRA0KAciLbWSbPS9zL0FvlXKjZV+TCf9IxXNeez925K1tiEgLk2+eSwWsqwg4LIw3Px1Tzn7chEDpCnCyRTMnEHj1CEETi3MIwNFP78ZxfAtsd4RPqtZxrX3+e24+Oz+2HQ/jtY7mU+x77Siaef/553vWud3HlyhXW19d54xvfyIc//GHe/va3A/C3/tbfYjAY8IM/+INcv36dr/u6r+Pf/tt/y+rqanuMH/uxH8M5xzvf+U4GgwHf8i3fwgc+8AGsPRhTP078f1h6bg8qhonUPBpWXN8YcXtYc3G1x2fzWzyw0uPSep8vXx1hRNgaVmQWbm2OeP7agM1RTbfIkEiqLkSctcRYc77f4aUbW0SUv2DEsN4t6OQZvlaewVq/oFNY7LBmpZOzNarJbOTVD62w3s9Y7Wp1Y2BU+Wh9pUPujLYcBcgyrWp4D6M6MKp01b/X09fVPpJbw7BWd+vSR6yY5EodMQKZU8O8LHcMfaBjoQz6Omu0ioMYPCpzG9J7dc5oNSLE9n27lIyIBNZWMrLMUcXIsPTUtcrYxhipkhEfKVFxmaFf5EkOd4njQmQ+XSA3lu987Su2Pd58t4tUtvp5xh9/1cP8u89+sX2sUTHLrOFdX/NqTs+4WNfeU1aL1TgOjcyhA2zOc4K2N63tUCM/DJpzzn5cTWvVImO7JZa4ByEesNvbnSRGei9Ezn9i/8nwUirz4IgomXkWwUV4281tj/eBzZtdfL2gZagnvPC1cOFj48cahaboIjf/1ICwOv0d2y/nuN89nvkzBOHqc+ucfuA21vmpaVQX5ZVM7g9hdCGwUIWq+1LJ4FxOcLMDHspV2Li8//Mux/t87CuZ+Kmf+qkdnxcR3vve9/Le97534T6dTof3v//9vP/979/PqRcg6QmkNqfae56/scmN2wNWc8uNjRFbQ+3772c5j184zavOrDGqoZc7VnLL5sBjRbi5WXJ7WGvbUiejVziqOjAsR9zeqhiMKvpZTuYsNipns8gzVjo5nTxjs/b4oKZ3l053yQyEOvKlawPOrWWsdB1nVnPyzFL6gHMq99oQlH1IiUMwFEFZ053MUPlIbrX9qqzVwdtaQ0dgcxQg6nEyJ6mfPrbEcGMEF7W30SYPDQzYlEiMqoivVW0qzxyd3GJEKEPAmkjRz+jllpdujVjp5XQ7TtWnvHI2jBHKKjIc1cQYyY0SsjNncZlRmdilNOyxQQRevDnic1c2tj230xy1VVZ0M21Vm8SgqvnyjS06zvKnv+KV7XF+4feeBiI/8EdfRy9fNGUcUxWqkXzKHFR+uixcOG1hOuwQa/gPizAvofBhuiKxxH2ESNujepIQNSkAtDVwwfXPJhQSIyvPRM5+8oDjebd2wP0e6+UCiTw3WOPGre0LqfMSjAb99QFbtzrU1czrvCAjgy/gy398/PCD/167D278uS1iZ8EHfMTTdzMMn/78BWKEq8+tceaBW7gJVabBZsHtmz1cXrN2Zmv/F5A+ouxW4NJ/XLyY1X2pZHA2I0wIbYxOweaDB/x9L8f7XNwBE/Xjg5EJRRVRH4ebtwdcvb7JmW7Grc2SL18b8NJGST93/JGHzrFaZFzbHBEz9VDoFDZJpkIvt6ldSbg9qNgqKyofCF4lTvt5xno3Z9MPQeDcSoe1fkHXZQQPq/2cB051WO1llKOK0gceOtNlbUWz782RxxPxMWJRWVgbhI1hjTPggzCqPcYI3dwwKDV40kpFpKw9nUwfH/oAAitdhzRGeCbxR8SQZ5YY9VwmBorCahUDoQoeX3uQSJ4JzljyTKVsax8ZljUm+UsMBDqFTS7h6ordkLW9V0JG3rj8xfHvbFTWVJWhrJYrt8eFv/wnvnKbLOxBsTGqeP7WdjKgAN/+ulfy+ksrCxNDZ7XtbXSU1QmZs/KWWehkSvSZRFMlmH186rUmaSFPzN4RmOzFzfY4s1dBtyXuS6z9p5dwtyq+/P2vu9uXshhzhurqJ17iwv/6WQDq9Zwv/F++ek+HWv9s5NRnluP5TuPU175E/sAR+R2kRGIevvxN0Lm0tdBJ2j9YEotA9p97R3IpMQp/+LkL2x6/9sLa3IWfunTcfKnP+rnti2IN+s/A1poSsQHVC8gDfiVQn4EvPGB5xf+2t1hjcF4YPLCnXZfYB050MgFMOVl3nIUY2RxWXNsYcWOzVvnTOiCF0M0cg5HHJznU6xs1Raayq7cGKs+6VQZubJZEIs6ZtjUocw4Ta3JruR6FU92c06t9Lqz3GY08Prc8sNZhrWOpyorbgwofhFef79DrCtc3qlQ9iNQh0skNmbNc36x1ASmqxGy/64hErm9VSNTWksZ0rpcJL22MGNZQ5JbTfUdhHVaMJj0x0MmMksetwVghiwYjqZQYVNo1aB7CqAoUmaPILJ3C4WPEV4H1XkbtPcHDoPR0c0nCNdpGVUdJ5njJe8IHTSZQgnuMSSWqsShf4kjgjEoMNzjMuumgqulkDmcMNwYlVzcOd1Oz1nKuu8LjD69sf7KecbNb72pVoYE6Qo7/npdI7AXzEoq1bPxBNSu1VYR5VhqVLE4oJj02lq179z16/+Umr/prH5v73N1sTfjcj34NMbdaVUjXce7nP8/6f3huaq51N0te+cO/ydP/4GvmHidmkZjc6qf65w+AZdvH3hDNdP/+ITp76K0NGWwUVCOH1ALl4Uhj4WzN4Js3GG1uZ2L/1uce4U2PPYM1Okd/9gsXubkxTjz6/SGXHrwOgPeGp7+w/0jd15YbL65y6vy054b8whnwqhLTuw0IbD0SGF6YTn7rnvC577Y89rPzE4r+R38fua2LZeEbLzF44MF9X2N7TcvxPhcnOplIUyERlVftOIMPkcqr+7IPSl42RluGupmwOVCJ1Ss3hjx3fUC3yNSgLhGdfVKEWuk6+p2MzGqq0s0tG1seZw3OWi6d6nN+vU/0sNqxPHS64MKZPiu9jJuDkohwbq3AOmGrVPWlGISNsubMSkGMusrvQ6TTcZzqZ6wUGQHh5qBqydi9TqZqTSNVbLJGOLeakWWWbiEIltxa8hiovcdawTqDtQaIWGcwRhgO9TOJaEBaVprQdHJLr+MICMOUaIUAmbNsDWsymwzxQsBY1DHca5JgUh0iGpLcrMFl2iplUuJx0joFThJ+4ld+j//6617N177i/IFef21ji0EVjoQzvNZ1PHapv7hbqApwYVUH3+w+RtDBhSYER4X1/TsEz0WcMeuzqSJa30d3gvsAz3/Pqyi+tMmpX1lsgLof3Gs3+s/946+datVosSi4WZQXd8JUUHvztUIo4OxT99gbvs9x8zfPsfrGa3Qf3jrQ6+1tix86ojv89+ZrS7mVLVz7+52nH4ZS5+g4kwVtbnb4w88mfyJziAXEmdfJvz4LE7mBzNlnLzC/9VlkMHYkP/WrV7CbNVf/9CMHuswl5uNuaaAcCVplrQhZMlLzabVcUBnTRx9Y4Y2vOMPD5/rkzrJSWL50dYsr17awIjgr1F4J21UdMEbodzO63RxE2Bx5ermhsLqviPDQ6T6vvHBKXbGNVgnOrnc5vdqhyNVw7qGzHV75QA9rDNc2RmxsVbx0a6Smcj5Q+8iojqx0Mrq5BVFeRFO16BWWtZ5WC0LUCgEIZ1Y7aqLXc6z2c6w1DKvAsFIeg3MqKSuiPhKlj5R1TCvaQh2UPG2tkOdqjDeqIzc2K8rao8WdSFkHfAhp0TgyHFVEn/72gdrXxBjIrPp2ZJm2hzWcDmflUBKkS+yOELXl7CDYHI4oqxpLwB5R1LSnxPG4h0STwa4dMJGoZluoFrh+G4FZUt8Sdw1Xvu9xNt58jmvf/gjXnnz4bl/OkSIKPP1/e8v8RGIHyMjzih/5+NRjoRO2rYhHA7cfEV74mgOO56Z98Ki2lwlilAOXJ0bP9vG3ckwpmNk566DXs8NzIapapjpfz3ltlHY7KEIwXH9hjevPryEfPjOVSOzp9Znw9F+Y5pHY//wHyHA0syOsPPUS53/ugFpld3m8/8qv/ArveMc7ePDBBxERfv7nf37H/a9cucL3fM/38Pjjj2OM4d3vfvfc/X7u536O17/+9RRFwetf/3o+9KEP7eu6TnQy0QxrSVyB0oekPCQMKg3WjbV41Fl6UHlubpWabIgqNTXKNjE2nhBCVQc2tiq2hjXrXcfFtYKy8vSLjAdPr/AVD51ltdfBiHBqpWB1pWB9rYNzhtp7+oXl/FrBxqDi2Zc2GZY1o5SsbAxrXro1YlR5ermlyC3WakWl9CEF8bE1rbOiAfpq13F2vUM3V6J0kTusEbqF1WQn02pETAlDmZyx1ZlaDebK2iv/A00AVro5iGFYemLw5KlFpPKBjWGlMrNWid3WWK1elCr7GoN6XBiTkovKt07mIcTkdxGXJkh3ESJm7rYxHFFNSL86ibgdEopvfd0FHju7cm8nh8J0K9XWIbg6kzbjO8319/DH8XLCl7//dWw9vk60QsgMN77hEi9+5yvu9mUdGSTCw//D7+y7UiKA2appYtY2dp0zbqOFeNA+hXjE2xLaxXCzO3cbfGGVsOnahVSpBFPuIBfb8ww3ikMF+ncKMWhCcv31/kB5ls+F4Zm83WLwc8eU+Ig5qIDGXR7vm5ubvOlNb+Kf/tN/uqf9R6MR58+f54d/+Id505veNHefX//1X+e7v/u7ede73sVv//Zv8653vYt3vvOd/MZv/Maer+tEtzkhGswaI1QxEupAr8joFRkhaqu2+EiRWfW+Cmr61s0dvY6n9pF+J1d+QKwQo6ZuRoTCCadXMh450yX4wFYVeGC94PK5VQqX0cuFta4jGEOvY8ms4EMNUU3jbm1VjEaeIhNykzEYeurKs9rPOL3aoZ8rVyGk9xCj+jxYK4QY8D4mMrYhRFjrZan9CDXWC5FYRST94owIYiFz6kIdRasUPkYGoxonhqoO5Lmjk1lWeg5jhM2tmuADReKGVF6TgI4zST400skdMVqtRoSASZrR3ofWldI5g3NOzfKS34fIzpzYJQ6Pwln6xfY+1xAjW/U8YoC2qs1OYkYiDuXDAFgjfOOrzwEqTCCoOd2Xb25RzaymrPccD5/rHvq9YAR6BdxewN/o5+BS393kNcwbaDut+DQrQmZ2LSWqMPleIUL60Pb+miWOHPVaTnTj7zJ0LBtvOUfMDA/8f+4Pp4Tsegk7mUTMQcgNz/7lr9zz/sOzwotvgfMfX47nOwWRyLy1fpFICPO/a1MZmHwugtSCIZnaNQ9304KKaJA+2swpeiVips/na0s1PIJQMKL8hkUcHJ+u2e6+yBh2MtGrZe55xMP53zDEPboMFM/c5vyHnubF73zl3l5wj+DJJ5/kySef3PP+r3jFK/jxH/9xAP7Fv/gXc/d53/vex9vf/nbe8573APCe97yHX/7lX+Z973sf//Jf/ss9nedEJxNNJUHQVhxjhFM99X0ovcYLndzSLyyZRF7arDBGyWvdTka/cBgxPPvSgLIO5JnVVf/Msta1nFtV2cmrmzV1gNtDTwAKGzi72sOLYWtU0y8sxKDBdQiMRoFB6bEIvcJxuyyxRig6jgunuqx0M+UYGFXCQbSVqSWTp2pE46TdyR3WWOpQExGMUX5CiDXBAwFMasMyxmBFE4MAiQOhZDtrhJVORl4oj2JQajWhcNrHPiiVOyKAJGtsY1QpyntPaphMlZxATNdnjcE5i7EWZwyFM3giVVmzXL49PnzXV7+KNz58NhkGTuNAq5gSWcstb3joNCJwqjvdKlQ4o+aPt4eUPnD+XI/19UJb3ZzAaH7ysveLEGWZrybJjsmkop+rmpOIErQN+gOPccxhmMXAQ3fmzlIGWlv4MJE4GEnMuplj7BS/OQudYtqhe1uCssTdgO86Nt94hhfgvkkoLv3z/8KV73t8KnE6/UvP0v/UtW37+r7j+b/4GkYP9aceN6Uh5GFBdUIYnja88IROHn5k4f/Y/bqEIySkHs1hTgRWH79BcX54NO+5SSgE/Gq6V89MRcEbRoOcvFNhbKAeZPiRJQYhIOCOgDzXJBQwHewnEnX7b1B+xQ7T5e3HPaufsVPrO4MHItVqVNJ5U3wW7VI589uGbJq/zfBrHqPzic8jw+0ufpIX5MVpzv3O+L5VV/WuRo3343j/9V//df7aX/trU49927d9G+973/v2fIwTnUw4Z3C2WUEXurljtZcDusKeO0NuhbKucZlhY+jV3brIWOtbYoi8dHPE5rAiIjhr6OaWXqFJRQA2ysBWrXyEURUQE1nvFJzqZQwD9AtDZqGsauo6UIeIj4HcCoV1ZM4glXDuVEHPapUhIOpWbZMfhGgFIXjtrKhDUNna3GpykAJ7ZzQBadpNVKEpYpLxS4j6+w1oAuGj8jO8D1igV2hblRgYVZ7BqMKm5KSqJ1ujtCLRSM7WQW0krVGTOpOSlix9/jLhoBlFe9atCMFpkrHE0SCzKtHb4LHzq9sM5A4DQblHF1YXH7ObWR66tEK0Qq/n6DSqTA13YzKhODej7LSTU7YxUKTkpQmW+s11xHEiASmhYKyNvmhGnq0YlEnStXl4km8SgP0SGUW0VDiJ4kRPqXcUZqWHkfESZBgMYYHz+kHge47hK1Z33/GEoPf7N9XRN/19+iPPsvax51PVYhrRGbZes779IEEDobktJFH5E8Nz+mQY3iuhzv2B6KZbydypElscoXR6U1jdQZ0r1IZqI9fKR2UIfnJONlMJhYym7907zo6TLTuzScPsi5t/hzSBL7gtVGvTizuDByKjM1GrFpGpQSw1FFe3H8Of03vV3JGcOej1KK6N37M9CjWSA+DWrVtTfxdFQVEc3b19Nzz33HNcuDAt53vhwgWee27vYhYn+s7nEqeg0b/vZFZVkERS4C34oOpNpYdOx2ERgji8h61ByfXbQ1Q1ybHazeh3XGpZUlM4n6Rcc2fwIXBhLefB0106uSUXjSe2hiXDUa1OwQLOCUXmIGigfWal4NRqBxciG2WtvgxEYtTKhBUh1Mm/IRnCOastV9ZpApJZNZ2LcXwzELQdpfkMBA38q1qVomKMRNQjI6aKQlWr5GtISYaIVhFi8rOwAtaKVkDEagtYiOpLYaOqRVlDlmkFxxrle/gQk9GOqj1Zp/stF2qPDjaZAjbY+VYvZFYlg48aa2sFNp/5YkXGJnINVmYmwxCSWtNsj5WB3I2TiAb5Lolok1TsREKvJ1Zh67D4jrjTMeYlLM5CfkRqUS9TSF4gZjxeZFQSjzCZuB8RZRx89T5zY24isRukFmI2HahJEF3tPdBFxZ1/P/s91n2KWWnY3ZalVY796K/DJ1WmbagFmfTdmRkPIqrcOLd6O+94u117mxAs3nG0Pq4ClKcXtz+JX/xhlq+5SPH7V5DBuDoRV7uEC6d3ucAFOIbxfvny5amHf+RHfmRH8+fjwKyPVNMds1ec6GQiRPUykKgfROEsIQqVj/QyQ+ZSuxBKTj6zWrA18AxrJRFfvTVkWHpWupmqJHVsIjyDj5FyVNNwiEW0N/yRsz1OreTYTIgCNzdLbm6W+NqTOQ2ys0wTgcpHMudYXVVjOWKkVyhXok7KUUQofaCqQ7soZ620K/pGDEYieWaxVisKRC3r2VQhaHgTMUblWlSBEFTByVrBoLyMOkTqUlulCH5igVb7Np0htVCJThohKTg0fhIGMqcJTuYMzhkkdXxOEtgjmlgYMePV5CWOHL/1zFVO9wseXJ9uZYgRSh9xKSlsUO8iu5o7y7mVLsM60lmgVOR6Tlvg5sEa9ZBYBGO214dF9HXZMVSwLGgf4MS5dr53zUfutq+eObdMJo4YkufEEI6sOuFulKz+5otHcqx7ATf+xEWik3ZBduPNZ7G3K/IX9ukR49U3aDqZ0J7zg2Cpu38wDJ/vYTuerD/dguODcHND59HJmXbXj8ZGQnen0hPT1YJZRKDaYfUvSmo5ipMPHRvslqGaLCwGHadxnwuUkmdIUSATPJO4vkI4N6dyt5fjHcN4f+aZZ1hbW2sfv5NVCYCLFy9uq0K88MIL26oVO+FEJxN1iMSgfgZWlFvQyJ8aoa0wGGtY62VsVJ5hqc7Wm5sVz10baCKxkrHez4lRqxBAS4DOncUZoZNbHjzd4fRKgcsMIoHN0nPt9ohhWdNxhm6h5m/GGmKE3FrWV3KMg8GwpmMEYyVxOZxWNapIVfv0PiT5REhSSjKpWqDtUJVXuVbvBZcJxli8pzWiQ7QNiaiJRJ5Zitzga48gVHVMC7UhtSvpakObDQiAqj15H6mrmrKqgYBBSd5KrNYEovYx8TuUWyFoi1WMqpSVWUO2U2vLEofCf/iDKzx2bnUqmQgRqhDVIR2mP/+oVa/ZlaVu7ugXGd3cceFUn0GtFatiTtKQr2aYg7LqG07EVBTD4XgGwjT5OpLM69jetmTTTXa/N4JOtl339qDGeksshHQKpK4PXZ3Inx9QPLtJ/tyA0//+y0d0dXcG1amc4WPjoEJCpP/UVTaeOMtLf+5RbSNNuPENF+n84a39JxMyZyX3ZRTE3yvYfHaF7NRoKpnwwXBrs8O1m6lFdHKqXPQduagmhC4S+z6tlyxIKPwB5r8GkcQPm6iOC2BSxewAMCXYGSWqaj1ihoK9bWb2FW0VM/s7V/HF65goym9rrju7txaC1tbWppKJO423vvWtfOQjH5niTfzbf/tvedvb3rbnY5zoZKIZUkoelXbVPzMqZ7o1ihSZ09Yl59i4NcIIVHXgSy9tEkLk4ukOhTOEEBjVAdC2ojK1RAjQLQyXz/Xp5xbnDJHI1rDm5rBiVHlWOo7cGXqFo9vNEKMr9qtFjs0sN7YGOJNW8g3Y5AWxOfLU6TzGgDOCc+pc7Yx6NYQ0J9TJLC6mlQFrLdAkF6reE1OSoKpPSo7OM6viBx5qXxOIqiARIwadDIzoBOMZJyWl91RlAAKZhRib5EbfgyYMWhkykhSkGsfrtOqVO0O+W6vKEoeCn0iAm78HC9SFstRG5KxFEAqnY+xMv8sD62NH0xBhswyYwpAdpeugnVkOhZTIhoMF500ikc0kE2VYTCZMN79t1zHn0nZGKnUvK293HZ0v3MbdHrf79J+6yvqvv3AXr+hgqE/l3P76B7j+9rFPhtSRi1s1z/3F18x9TXmpx9ZmvS1A9Cv7DJaaYXyQmHBRm8tB8DJLajq2pp+NfRA2hwUv3VjA80nfUbTpPmsBicQiEHvT853e0neoUBwEi1qZQrqWfcJUQnZTKK5OzP0C0daYzfkHFA/5VsQOpy/G1PucwKsaMywJnZ1koxbgLo/3jY0NPvvZz7Z/P/300zz11FOcOXOGRx55hPe85z08++yz/PRP/3S7z1NPPdW+9sUXX+Spp54iz3Ne//rXA/BX/+pf5Ru/8Rv5x//4H/Md3/Ed/Kt/9a/4pV/6JX71V391z9d1opMJGHctOGvoFxnrXYcRuL6pLtIXz2SM6kC5UbI5rCmHNV98YYObmyUXTncRhM1hraZwIhijwb2u4EaMgQfP9FjpZvRzg7WR24OKslbCddEqQBmKwtHNM/LckDuLwXJrUGMQOh1HkdqHOoVjlBIJk34DmVNyrTUCRrkOkAJ2ogrWJAfrRu1JE4mQqhOBOnhi8oQwYnApwPcBhqVWGDJn8T4AERFtabImJS0e2vp3FHJniDGSOUGsI8tFkxjTtH6lfdPE1bQRNsek3WeJ48DZfoE1hs1J0rOwY2AeAnTzDiFGHlhVIYF5alARuD0KnDs9M9kex9e564S6YIfZRAL0+gqjSgbz4EjtTnPeyKLEad7DsWU7zn/NEvuHD6TVkn3hgZ89WWpNo0u9uWNq46vPceObHpx6LDrhyv/5dQuPdf3bHub62zmS4CbKy6vN6G6j2x9yafUGD/Svt49dlT5/wA6tJSHJv2ZAHiCbr8wFKaG4Q3xiibKwOuEG86shbkPIr8/cqyL0Pu8Ynp9/rPwGnPqMp3dlunoZrTA8v/fEwNweAEJ45QN7fs29go9//ON80zd9U/v3X//rfx2A7/3e7+UDH/gAV65c4Ytf/OLUa9785je3//7EJz7Bz/zMz/Doo4/y+c9/HoC3ve1tfPCDH+Tv/t2/y9/7e3+PV73qVfzsz/4sX/d1X7fn6zrRyUTDvRTRdo6IGr9VoxofoL+SkVlD8JHboxHXbo24emPAjdsjeh1Hv5NxbaOEoDKnIap8qjF6rCK3nF7tcGG9Q6dw9HLhhVtbmCCq0tQxuCrQ6zhO9XOKzGGd8jPECHWlbVhrK7mu6gclJg9LNY+zJvEZrJA7wRqbYnmVivVRg3TvI7UP1LUnxEBmLcPSU9cVdZ0ULqMmCM7qteXpOjZHgbKscCKt8pVYo4u6VoN+Zw0BLVWGqGTqxBHHJZfvELTP1llpO0WcMek70IpGJGLE0M0sWG232RwtCZXHgdVOxl94y6t57NzeS6ONk3pMM/sLt0eIwJn+IlYb9F4501e6VSqReRH21eQ7sV8IO7Q7+QUHsywO5heQIxYlEgfFPHL2EvtHCPiNDVjgjXK/oD6V8+xf+UpCsWDldcFvZiHVJyx64s5BeYtHcxFHdZx7HUWn4g1f8znOnJ9W8TES6biKYT2nshSBgRt/32WaL/Md5uNZDsReSNEN9jqvNdWJ2elbtIVp/ffNXDfrkIFfQA0Qz1y/iFO/X9F77ohiihiQ2hP3qTh5t8f7n/gTf0K7QBbgAx/4wLbHdtq/wXd913fxXd/1Xfu+ngYnOploumoAlVhN/fxlrW0TndxROFUUurpRsTGouLVVIkY4u1ogooG3S2TpmIjcYgwuc5xe7/DQ+R69wlA44fagoqoD652cXteyVQbOrjlO9bP2GA3Js/KR6CHLtHWJaBCJDCuP95HoVf41yy2Zk0TCrjVA12V/5VEYoY6R2nsyUWO7jUGNcbFVAsisQcQCMSlsWpwVbg08pa/p5YZenlFWPhnTJY7WhEN1OqUmBTEm47vIqPT4qMeNIlgb8ShXIrfJebxSA8AstTVlmVFjs3jnVkZeTigyy1/6Y6/j0gzxGkiteYE4U52IEbZGi4Ly+ZjLjejl8xOKhvswSUoeTRALZ7kSUydivmxsBNiuD74nWAt+NjA9YNS/KGGYW51YZhb7Roz4W7ePVBb2XsUX/u6biQdoHZSabQ7Vx1IkNOzLtxHQQPKo5vmXwf3COc8T3/h7rK5vbXvudHeLb3jss3zkMzPVqAhs7jNcmzfVL8pKI0gQzNC0D4ROnHp+t3PN8nCijZz6lDlQsltck23VCakPVjmLNgnBzATUZnNE9sUXKR+7uL8DLsf7XJzoZKJBjElxKEYGZY0xlpWOo8j0hyGoUo2zwulTXW5sDul2Mta6OcZq0H5to8QH9VbwARBhrZdxftXRL4QvXx/hg6fILedPdQgS6RTanmStZVR56jpiUx86egg6mUMMVFVAfEwBuzbd5Uk7P0Rarwz1iwhkVrkTVQBBJVvrqBKtVlRC1hrInFPvgRjxwSeehKOOMChHnF5x5JklevWtCCEyKCMm6fyUUUuEDWnc+6CysUElYcWISsBah7Wo3CupghEDdRCiqGyttab9/HwUau/pLViBW+IASF1l7/6WN3Kmv1jtIc4EvxGmW6Fm950DY4SH33hu/pO9HAYV1BPBX5HBmZnkpphILMIOsqyLsHA5dj8HmMBBxQCGJXTyOSRsCzL7PdxbxL57Gqn32N+4OW0guMRcbPs5HLQqsTA5XrY5HSvSeH/r2z9Jd2W0YBdJEusz2G8iAcTRgntvM5Amvmvxk4mE7mQmfEYWGR3uhJ3kWveEmbH4wH8uKa7tf8Fh86sfpv9bz2JvTwsVhNUu1StOXpvTvYoTnUw0cr9RlIBsBVa7GadXu+S5az0nMiecXcn44jXLw2f6PPeZTQ3agV7ueOnGkBgimTHUQQP+Ux3DQ2uGXALXbteEGFhfyTizmiNiiMFT5A4R00qxZs7gMtMmm9ZqyF77iDOG3EIVAkaEzDqs1SrBqPYt/1MJ0YZR3RCpLSGRrKUxrFMtXIxEQgxIqi9mztDvZhjruH5jxHrP0ek4QoiUdU0nGWw16lcYENFqjveaiHkflFRtoNfNyZzFOCF6VbDKnCHEmHwsxv4WIUYkxLSaLTgLXefYCvf/auOdwtl+nyxz/NR//Azf+9bXcGF1uwxrAIZekp+Dwu+w4vvC7RE+RB5YmwmKd7sPnOpt94XYCcbMTyh0MO79OPtBN2PqjdRee73mYafWp15vDp/CcMKnz7sOf+MGIsvka8+YjecOGPjHImyT15RaMOXBfod3u+3jpKC4GbF55D/9zJt44r/6FKvntpjtK7q22eeXP/vaqdfJ1g4LcmVa+S/2l4yb0f58RXZyTj8u9J6fPpnZv6WKHufffRrZLKeKAOHiafwBE4nleJ+PE61v2LQ/C1B7T+nVx2Gl4wg+sjWq1cHZw7AOrK8W+AAWoaw9t7dKnr+2xbCsESPkuaHXcTx8tsvjD/VZ6xpuDkqu3ByQZ4ZOrmTrbpbae2pP7UMychMC2t7kQ2zbe0LUCoBzwsawYqus20WBwcirI3ZQ9+my8nglQLTE7KoOKpaQeBVN1UMJ4mo+F1IQXyTH7MHIYwg4Q6sWFaNK0BprKDJHkTtcZhERRnVgUNaaEFkhz4Qssy2XoqrVSbsOoVW5InlXOKucC9cYqokk5amAMYbnrg/u7KB4meD//et/wNNXb0895mNKJGZg7f6qQzYzPPymBVWJnbDbxBib5tojmkCb7HveDS63bHvC2fkkayMq/1pMbA36vaPlWCwxH8vPGNCFsXkL03O19Xf6yGRmSwid7YnEEncen/jf3sC1L03z0b58c51f/ux21a7Y2+eCXIQ4PEBHwG5lqZmxdFhEB74z34jOzHnLN19dMDo1/32ZOtK7Mmq3Bv1f/B3M5gGzkCX2hftgaU1rtlUduLU54trGCMQkPwUNcI04BqOa25sjbm2U9AtLWXrKMrDWL9TNOrOc6mesdh2n+o5+xzCoajJruHiqo0G4s4gxDMqg5Oig98Daq6eCs4KPSjw2Vlf/Q1JdGlYqN5tlwo3NEaudjNp7RkNPjCEt8gq+hJgJIkYXbI2QGUMEqrJmVNVKnjaNVIMypSV9FIOy5sZGDcFTiqWwytWwKTsxAi4zra9FHQMxJDK1jQTvW7fsgLooGwGfjI5CCIhruChCjNqLaMUqadxHrFVvjypEivw+GGL3KP6///lpnvzKy7zhwdPUEcpwsJl+9WyHR157evzAgvi8RSc7eMsQMF1j34FLAVAC8/jhU47ZEzI0IrDAcE9PN0PAVvWG7ZfQJhS7fRhLHBmOy/L3HsJjf+s3ePoffM1CAnaDqYRiv+Nv3v7HOYZnWmYOfayXCX7nFx/nK/7457j42hf53NXz/PazD3OQL0pMRLLxunsMO7Q4AWZgDmxQqCec+Pcu39f110dO/xfZRsCu+1B30sKo0aSiOV62nUoydeq9tOL1ntOEYt/8n71gOd7n4mRHelEThuYedG1Dk4nVboFzFu8jm8OKQVnx/I0hz9/cwkRdOfcSWO9m9ArDSsey2tVEYq2X4SyUtcc5w2o3Y3NUJ/MvVWLylRKXIzG1JWl1YRQiozrggU5m8cEzqAPRaGuTIVLVGtiPSq/qSUF7tYxV12xiQwRPbtPWIkBVRU1GnCYaUSK+Hr/3ENSQrqyjStamKoZzhsxA9IYQ1B+jUa3KclWdwqv3hJGGD6TO1x6tuhS5I7eGka+JMVD5gESDjcoxMalElAy99auJqkgV76dfyz2GGOHffPpL3Bp53vzI+QMd4zWvPs0rH13bvjBcBsgXJAw73e8WeS/4/ZG/9Roqfc0kB9sJdFxKZhZFXPtt7t3jY0scP+7zhEICvOK9n2j/vvJ9X8Hg1XfPrOpI0PQbH9WxXi6I8Jn/8Ep+5wuXGVzQtuH9QroeKaYjdTFg+hVh8wAthAvcs0NxQM6EwI3Hx9/pyheFiKiK03EnuMd27OV4n4eTnUxIIwmrf4xS21FZB6qgztDDzZKNoefWVkkVAqe7HZyLdDPLI2c79Hs5nUxVnUZ14NagJLOGbqGu2RElo/Y7WdshYUQYVjVijDoyCq2fg5qBCdYYQgAngkerFIbpBD23hkZooFGVEtRFmsb/IWg1oPYBZyW1P0kbpDc+Di7J0QY8mTN0CpNkZQM2Ebu1MhEJqC8FNQTfVDUEHwIignUGY016LOp7jZYYI86aVo1kUoQnhEhACCFSOKH0KtO7F0myJQ4OH7Tytdun/IZL0/yKp6+WPPrYKR681F+gyBrHCUUxc1Par8HcTolEQ7ydcuoGqmo80U6+tE5kp4PwLOZxNmKE0qe2qCWWOH6Y0Xi59OIHPsOL73yMjTee2f+BFv3oFxGsl7jnELzgazNJcZuLS698aeo7vfrldSojyAIew2RCIdXMDvu8Je+YSMj8402Sryfb6jYuR/JbytnYL9aeHpHfWnIw71Wc8GRCCcB5nnGq3+HSmRVWex3qEFMAHhmWAR8iBqGbOfpdx0rXsN5x1DFydWNEP29cp4XMWYrkZl3kVonPmZAnH4uqCrjUp50KCap6hK7SZ1avKQRPjJIUl5TLYK1QhaAxUgrMJQAmtSFFqLynjpFsor87xpjcpdXt2JqA14No25I1SowWTS66hSWzMCwDVeWpk6SaMwaDYKU5FhBTo1QyxMusIc8dCFixWNHJIHjlRRgj1G36NiEMIdLwwqlDpFM4jfeqAzhMLnFkEOC153OymeD7FWdzzqw63E4tQURNJGZ3UfmxHQKWbRH7DheYSntMJA5VvXjF5jC56X5fa5vls8laeVMRaR4/4kbiJV5WsFs1Ut0hJasIZmSmgkPx0rZtBBeRKPtugZEjVIFaqknNInLxwk2smx4jZy7d5OZml1G1uPogwlySdXQRalncAjT7Jew0vQWQ2fbaHfaPdj4naC8wddxX29LoTAZ/7LV0fuOzyEDL29IpkDzDlAH7B1eIRUb1yP74gcvxPh8nOpno5BkXz65xZqVLv8jpFBm1FzaGGrBXdWBU+9Y/olPYRLDOubFRsTWsMUbl6DuFpXCWIrf0OpZObpJMK/QKl4jIOglXIWKtSVvSUopoNcGpPXTtdYYWMcREOg0xEoPyLQxKzo5ADJHQtBnFpsqhbU2gjH/lMIAQibHhQagUqzH6XIgoEVra+gYAeap6WFEZVx/VTE9iVNZuc63GaIIjkhafhSzTJKqOalZX+UiWC5XXNiYn2ubUmOyReBZZZqiriNunIcwS+0eTykIzj+s3bwReeSajmJMw5LYZJ7tg7i47LH3Oe7hRclq0/+xrnNWE4iCIUY3P3CGnNpsz5ktMcDPmvkG34N9LLHEEWLD6uy/E8f9NMjuLZl7QuCxr3GnEKNCs5EtspxuRyPlzt8jc9uzOuYCZ/f7mHnzOY/ttV6pEE5B5FZB55zjEEBLADSJ193BjcHQqIzgDKx2GT7wS8ZHiC9eUjC1Gk6BhtX1RbDn0D4wTfed77OJpTq+vkVuLIHivCkmgCYQPaq5mjOCcKjGdXck4u5pxe6ukk+m4T/E/zgq9XJWOrNXA2hpd0S+9VhJ8DNqOZECMOkpbI8QQNKBOLSfeRwhCIGBknDQYIwgod6P2+HSnaJyo88zho3IsIrRKTEYawrPONKZpNUrO1iDUPiUfAnUVUkUjEIISrTEGl1ttn/JBXWej8iUkSc7KxDGrOrZqVUaEOugxBS3JSKqEqLRs0GQrCt3cMBxpW9ZSpeXo8IaHLlDk05WeU/2Mh0/3GacRceLf0F/EewC2rm+pj8jqvOqRJGnVBWjMLPYyES8aAyLbXa9lpwOh7VAeMHGm1WmCFRfi2AOjMcur4/xrFNEWp+YaYwSTo7rJiy9jzkXP+fcSOyIeJZPx5GL9V64QCsPmG2ZandJPI07+zNLHde5Dn+fWWy9QXpiRh57Nd+d9xCmvFxHiUSyNLnvI94T4RzaI3elFktFWTmXsxHckY/lqEYp88aJKvzsiRmFYznfLjjt4U0Sr8/deVvplkUVQAPYp+iFBydYS4pQUsXjIb6eOhxrsUP/tE0l7eDbiv7DAxWdyzIhQrjvCxH0vnFL/o/jCBmwdcJFq9nzL8b4NJzqZeODUCqv9LlvDOlUZEiHaSBvkNipLxlq63ZwzK7kKvljIrGVzVGPEkGeG9X7Oai+jmzs6mcU65SzEoKRoYzSo1moA7cQtiYAcvMq4No81XFQ74WrtnPpOtO1BUZMYYSI+S6/TuEraakUzhvU59Xdo3meI2toVU/tSVavsrEm8hyjKvYgmtEZ9Iio5m4lJqlQBH7QtzKHtW8ZJK8FrjaQkS/AhEa5jIqKjSUjzGZVVIHMOv0jXf4l949zqCt1iOvC/uF6w3pucYvc+uVeDGl/u0NOQ7cCNmJ0Ed0sCZqsTOqAWv8TZaVM80P2tripRB72RCeNZbPKamnPVqnaGZ/yjkrTKZmSOXOycBGeJJY4RnWc2Of3vvkzvMzcZPdzn1ter/v1kO0jz7/M//wWkDqx84iXc9RK/nrHxxrNK4k73o8nXzV05PmJI4MhUc45FfedewYUKetNzS33T4gczfLHmC9wl0cudx1rPIqPMWO4wj5m08CTa5ia75PXiRROQZmw17U37GFuSko9ooe6CySJ2CMV1Pb+d8JQzSXRj80Gt1FQrkRuPW9zA0n/W030xDZQ5wbg/ZqPc5XifjxN918ysw3vld9Y+UlaBqo7EKImjoIFv5iydwrG2UtDNDVulVi6s0UA9RPWnWOtlrHYzuoXFOW0hgkRyjU0n0zihgIZrECeqCIz9L4xehxq56a9VFRuUQG2tJjGZU2lKn/wZlPMREx8jtLyMhjvRBOgqfBLxPlL79Jqgak6hiZdSAqBqVLpvVQfKSjklU/FXarsKIWobU0h/J2UmTdJIDuFNgq58lCaBc84k74xATOTgJe5NFOsd3GoxJ3gWlV7dLTGZvAE1mfEimJQ8GBkb1S2sZDB9TU0SMang5IEq9dbttFLkGaseRMarac2KwiyRe1+VNAGWbXxLHB6dz2+w/qvP0/svNxZ6TQCs/drzrP/q89iBZ+WT11j/1ec59dEv0/3szW2JBOyzPz2y75XmewX/7J/9M175ylfS6XR44okn+A//4T8s3PfKlSt8z/d8D48//jjGGN797nffuQs9QgwGOaNBTpz1FgrApt3dgVrGW9xFoVu8JhRSp223RGKyWBDGiUSTHzUeE9GA2wK7wI6qWouUa5FoYPNBy81XWW681jE4b+bP+ftY6Y+Fw5/u73n/JXbGiU4mAG5vVW17TRPsO6ftQnlmyTPDSs9xeiXnzErWrsBrZUEoMksnd3Rz3T9zyi3wXo3afIhtZUAXM5VT0AxZYRzEN93rTWxjpCFpjx9TxaSmItFwFDSA98mAriFDE/XYIRHKI9ruF4NyL5rj+BDawF8lWfVam6qFNdKqRVmrf+t1q0pUlRSwJpOLJrForimkJ3xQv4wQdB+THMaNKPFaGPNzQwhzPcKWuDOIEa5tzU/mirUO/Yur5GudFFRPbLlT4nWcuNts7w9a0FIxZzJv9msSikbCbOGFM13FsEav66haiJof0lxFqIgKte/lQMtkYom7j/6nb9D7/RuLE4c9/mxkj20v29Dc3I5q2yd+9md/lne/+9388A//ML/1W7/FN3zDN/Dkk0/yxS9+ce7+o9GI8+fP88M//MO86U1vOsAbvnPY3CjmPj4YZNy61WW0lRNrGW+VwMDChtMEIMh2gjRoNWImIdgxoYgTiUStJP2dhpWEJgFJSYiXIyMbb100bF1YHLq6wd4UBGKR4c+u7v8C7vJ4v1dxopMJm1b0ax+TvKolTwZ0ea5k63NrOa94oMflcx3O9k0KtIVekdHNLaf6OWdWC1Ufskq6rtJKv09BtIiu7ktqk2hk3JrWpRCCbjESYmjbjaD5wY0rCfp/af+OUZObZkwJpGA/7Z/6ils/CmmqAxOtV8a0XIyYyiOpeqmVCq/ciJTvaMJlle/RHNuH8XU3lZVmn0ZwxyZyd+P7ZY2QO1WSAtqKSWaFInMYgcKd6CF2z2NUJ67KAgy9UMy0K+UrBSsPrpH1UsuUETVuyyYSiQZTy6QTicW8/AK2JxSL9luE5vX1hFJSM3DvFGI188AOCdWy53+JexwLHa/n/KwOqrRzN/E//o//I9/3fd/HX/pLf4nXve51vO997+Py5cv8xE/8xNz9X/GKV/DjP/7j/MW/+BdZX1+/w1c7DZt5jJs/f8coXLu+wmA03cY0GmXcvNmnTI9Hbwil1W1k4fa4e13qtAXGonRzEon2nPMSirmW7IsrExLA1NJud3qKzG5Nz9925LEDjzinC2fNdVYeszmaffkSB8SJ5kz0Oxml95RVwBpDt8iwbtzXv9a1PHq+y+VzXdRWIXBjoF4KKx1HkVl8iBSZoZf+jkIiJetKjbMmtfI0hnKxDfC1LjEdO8WIJhSAMYZWenXiun1oHKlJLdomBezJZyJVJIyR6UoFkRCU5xBILVc2EbPDuAUriBCjVl/EqFldVQdGlccFsJnK4E7yLqw0vI0kN5vaxIxERNSIL8SAwWhwGiFzkhIJ5ZY0n4tzqdpSRzBHQHhaYiGub1Y4I5xZGXMpjMBqRxPBN19Wgua1jVKfzC1rj57G7tdXYbKPd7cEIab9Zgnai/ad+jtCNWuXGnb2gYiya3/x3PM2BvJzIQv+3aC56y6TiSWODmazJn9ui/Jib1+vszcrspeGVOc6u+/cIGgrrvbOo2RsS6sstOfE4ihz/XScW7duTT1cFAVFsX2VvixLPvGJT/B3/s7fmXr8W7/1W/m1X/u1I7qo40OnVxKDMJysQAjtfCYucvXaKufP3kqLi3Dt6gp1vb/5W+p0f3dxx0QANKGQJBu/4yCIc2bGqInE1Lnj4sNEC74Au8+Y3neFakXINua/EVN6mqvLr5UYH6HbI65G5PYm1B7ZGuKeeWlaGnYvSvbHMN7vB5zoZGJQ1pQVWGvo5o5uxyFGyDJhvZdxYT1jpWO4uVkyrAK3hiWrmePCmQ6CsDms6BaOfsdS5Fla3W/I20DbzpSkN6MSmZV4rL8QSSSJcUVhhifQlhg0ORkznRqysiE0ZnHJtK7yHh8CzlitjEQwaALhvRKbnRUlTzsD0eAb1jaCpEAuzx15YfE+kBvbGuz5EAk+Yqz6SriGIO6hrr1WW9AukJj4IU2VxthAR9SfIHdarSlrTZ5yp9wMa4QqRG4NaqrRMpm4U7AGCid0M8MTj0wHI22y8cjpaYO4/WKvgXtg/7PLvESifY5xgsL4fwSBWhIHceK6Gs7Foop3o+3fmfwsdksg2oMzzkLucNVkifsavT+4xYX/9Q957r99LdXpcYC5209u7eMvIcBz73r1+DV7OWGTUDQnkBRwQlL82R0Sk8z4EaA5zuXLl6ce/5Ef+RHe+973btv/pZdewnvPhQsXph6/cOECzz333JFc0x1DWwCOiJv+PF+8qi7psZadA/zdTlHL4krVBKJhrkfF1LH8nLa4fV5a3Yeth6D/zJh0vRfcfkSTqQf+U9me108oOHVeGM0vnK/3IQbk+m192agi/4Mr6RhC/eqzu577OMb7/YATnUxcvTEk4MhSq40x6otwdi3j8pmC1Y7h2saIW1slt7YqhrXnwlqHlb5hpZtjrSYLg9LjoyHPLEVmWjJxbFqaIvqfGAmk4F7UkC4ybvtpM3VR9+uY5Jm0lcljQnLCTjv7gAb+KdnwPrR8jBiTLGtTnUgVihAidQh0MkeRG4wYfBAsek3RWBr2tXEqmRtjRKwhS61OddSExyRCbBRBjGDTz08laLUdzEgijcfYxk8+BBBDrLU9q6ySMaAxSUkqqOhO8GRL0sSRw818pkYEK3BhNeMND+5jZfIg2G/b0k6YnUebY8+bXyuvbVhtx5G0vxsiUAlk498S3RSIbaZkdqr1ajIhmWjhMjtI4e4ZS4fWJQ6Hzhc3efB/+j2+9Ne+ktDXMSlpGPu+I2YBM6jbQC7khpgbQseOf5pN5e2E4plnnmFtba39e15VYhJN63CDmNqT70nMFGxFImKSqLe7A8HlxJrMQSF+QYK74NgS5rTbpdfXHbj9KKw9zTbDRONRCpsb3xZMFfX8dSQkD6WQC1e/ciyT/MBvbuh++3lTMZL//pf384olJnCik4my8uRF1rbnAKx2My6f6XKqZ7g9KCkrT+YMncxydj3n0bN9eh1L8IHNUc3tKnC+n7PSs/Q7Wavw5ENMkqfSxiE+ao3CGoMY9X6QVI1oRnpEZVdDSiSIqq4kqbaguYnur14R0hK1iUlONh1LKxZNOTNS1+oJYdDVpMYYryFcZ9bgMi1hBmLbdh4ieO8RGTdcGdFqgyRduIYbYoxpFaliQy5HPTYCIVVOIj56XFr9bVq/fIyMaq0UOWOw6L+XOBo0QkiPX+yTz5CHL53KeNX5nW+4R4JMQIwy8XdaVdnRWXsRRBOGRXK1lYfCzZdujUBl4dRMnbqfpritenw3KiwUTXVhUbvAjj1QSyxxrMhfHPLIj/4OX/iRJ6Ye/+IPfzUAD//Y75C9oFqaL/25R7j5DRe0ynA3ctmjJJKm46ytrU0lE4tw7tw5rLXbqhAvvPDCtmrFvYKOq1P3QPr7dMVmUXPr1v5a2w6ChggdXdyxQmGq8fx9VDwaCYuPFXK49WpY//3px099Wl9w87WRkAMxcv4/bXHq00O2LhW8+Ob5Y+SFr1nh4sduH09CfQzj/X7AiU4muoXDZbZVZuoVlkfOdbiwnlPWNYOyZpS06l91cZVez9B1jtujirqODKtAL7OsdDL6HUeeGUIUJHkwQLNQmqoIqGeEyq2q23Wr1JQqEU0hw6aV/jrqaLYObDBgNElwxraGej6ElChIS3gWNKExotUEbb2KGGvoFBlF7hAT8cEQa+UzlHXEGzWVE4EQBRvH3sjWCsGDiZFoDIhyN7KUQNUhaDWiIWXHcQLhkipVCJGQ2qmCaLKl5PCkTmUMmRFMkuQ1YblSe1T4qgdX6HcPkTAc9qaQT/hC2OQbcVAfkYO8rMg4sDxYz213O11iiROKL/21NxKy+LLPd/M854knnuAjH/kI3/md39k+/pGPfITv+I7vuItXth2drMLtYCJ63BA/5kpILbBLQtG+rlkobWKiRVWJXXCYpGT9M8L6790kuz3dC7Vkrd07ONHJhA8RE5WLUGSGR851uLieEaKSja1RGdTT/QJjYKXntOcQbTdyxnBurcPptQ6dIlM/iQmZV4itjH2jZiQmqgmemWxjiknelSnTOmnqEaLBdll7TUSM/gRC1BaixitCAJIZpk1GdJiYqiEWE9S9Os8t1hl88Grg67SaUJYVg1FNTMTxPHc0qUTtQ5KiFSJG4yoTCcmjw5hUKYlNyTi5coth5D3eo6bAUcnbjcRsQxr3XonXRe7InUUcrPRzhlvD2a9tibuFR8+Ng/FWRGACRsC5iecTigV3HGOAOQnFgaoSdwMNy/BET4NLLKEwSqLerdf9yHGULVUHiAz/+l//67zrXe/iLW95C29961v55//8n/PFL36R7//+7wfgPe95D88++yw//dM/3b7mqaeeAmBjY4MXX3yRp556ijzPef3rX38U7+J4sOHatZCYhW2JpFSCu2U1csnGH+Si8SC1gI3EmeLsZFViav8xreaeQO/KCDu6wUtvOXVnT3yXx/u9ihN+F1VH6dV+wUNnCs6tOG5tlbx4a8jmqMQZ9ZEoMsNqN6OTZ2yWNaPSU3ltiVrpZORJ1ck3poqkVXjU/8Gm3mqh4UoYIr7lCURonbebFqOY+BWN2VvDndAgXlo5T+OUe+GcEEOj3hRaXwdtD1djO5W/1dapKvlCqMJSbCXzfQh4n67bqc+GtYY6SYgWhQOJWn2QRCAP+u6svkHyTJWrMmsQA4MNj7MgxmhiY6WtojgnWKs8jczqZxFiJFSaIN3a2geraokD48qNirKOvO7SAs7EK8/PNurStOFhJfk4zD4P5LvcOowZCxs1iIeYaUWgu4i7cIjb2IEqGpZxwrHEEvcOQh73/XOY27feYJH8516Oe5cJqd/93d/N1atX+ft//+9z5coV3vCGN/ALv/ALPProo4Ca1M16Trz5zW9u//2JT3yCn/mZn+HRRx/l85///KGu/6Dod0dYE7l+Y4GJ2sZ0qCZVajF2EVMKdmv8xQqaWMDuX2Hb9nRUJhCweLo8xPR9+pPXsXv0j2gvI1XPjzr5udvj/V7FiU4mPIIYy6nVDhdOFWyWnmFVk1k4t1pMeCEIeeYSAwI6haMbDadXCla6uRKHvQbB4x+CciFMIkQ35bSG1NUINvnUOz5uRUq/mUhrdKfcB1U6yjNDVet5Irqinxmr/ITYuE1ru5S1SjJt2qeKwmLVWlsfk+R+XQuRgBBaLwxJbtXOGmIIRGPwPlBWXuVikzJVJoJYSWpxulotgJlwAC8yQ5ZWocvkv+ESAdaHsbHdqE6St1WgIpIb4eZmeUfGwssdF88WPPZgj9a8ZJiSOAFecW7xRO7MfA7CfnBAesT+cUjm4NyXRqBm+1TYJDSTn03Do7hX1uaWWGIGogHm7Gp0Q9aeUt9RIcAT6S0xix/8wR/kB3/wB+c+94EPfGDbY/EeC+I2BwW3bvXGflOT38nG4jDNbpqFlYS9QH0l9vdZNIunC59cgB2T2b2cdA6KaxXnf+M6L37d6anHL3x8MxWdzfilPmBeuonc3jrgRSyxE050MuGshvgXVixWArfLikFZ46xQ5BkrHV1ttc7go3IkNkdeA/Pc0k1GdbrCTyLW0Ab6LaIG58aMCdAxmcRVXluFDMkoTrQyQVQ5V1VnUgnXDD1OzHQ1OAJ1kGTGaxCJ1F6IHmJa+Y9IK1xjrcU2hOqk7iQYXVVoCOOJpEtSg/I+4IwhiLpd+xBxyfy3TilIEx4pQTtxP2KSns2Uf2FxBDzloBqrZ6UZpQ4wqkKqwBi2hjXdrgWRHQ3Vljg6NJWi9Ad0Mv3/A6s7zPywa2BcRSVd7+tizOGqEztiIqGIcdop+8iUwxZNi8tEYomTh4Wu1hO+kIdCc+88CtxbMf6dwwynt00qtg4Xou3k8bDwUkyc75p9BJhKKOL02JQDqshPHSPC+d/aatuQJoeT2MT5O+xYXY73uTjR9K1ex3JmxXFxPSOzqm6UO0uvUB+GxiU6BBiWHivCKKk7dQtHlpnWXFfHxvTM2jQ4GNMo6YwlY40ZG9aJAWOl5UO4xik68Sk0KHcY27RESUvkzqyec9KhuqmgNPJ2zlqcNer7ECNl5RmVPpnfaTOGoXHDHm8hxFSJkLZKIyIqQQvJE4K2KgJK+G7eh7UGYwyjWh3BxRjWV3LyZFTXOINbK3QyQy+3rZu2M1o+zbMTPcROBB463+GRB2bam5oE4trm4Q6+22S36J4jx/i9h6BqUiG0yX/qr4PrExydRv5qtyQjMpGUOJYJwxL3AuxmxeV/8tvt3yGL7bYT8hcGPPT+3wUORpRd4s5iY6PD7Y3u3Odi5/gETHaqSkSzYOCEw8+O4tM2k+RGC7dfMf7blrHdNh5bw/fmJ1bBwfCBiITI2d/ZQuoF70nPfsirX2IRTnRlInfC5XMdhlXN5rDGGG3JKTI1U4tRuQiSyMxl5Sl94Exe0M0dIgYfmkxiPMhiyi4a8zdB249c+rcPIQXgelz1mZC0uq/BSwCtMARNCIL2MCGptFDWoQ3idVW5aayCyVpn06qUWYMPgbKqGZUBLxEbBeNsCvohRE/d+luY5Mat5+hkjko8QVJ7VYgtiVpSpSPZR7SfQZ0kYMvKY5yBIFQhMCg9vcKmKo1WMASDs9oulqXrrXygk+3TaXmJfeHyhS4XzxTJiXwO7mZl6DgqFM3vdd79IqL6zZPJw073jijTy3YhHGF1Y4klDgcJ4K6NiE3H3ezQnOn66336Bmd/4UtIGchfGPLQP/s0X/7+O0AoXkplHhi3N7psbeaERZWARUH9HcCxVCh2eDtRIGRgqxT2T1ZqMsPmIyv0vrSJ29AW3s2Hc66+uUt0QshheC5iR3fg81qO97k40cnEA6sZp3uO24MSI8Kpfq6BdKoiaHKh5m6bQ8+NzZLMWfLcavAlKbJOyUMY/xNI83RqMRK0fckKGEwrYKOKRhNzeipuSFI+IkIdItQeG7UlSluf9ABaOQlgtaKh6k96NGPUpyFL7OqyqqkqT4iihnMSEwm8qWSMW5RIC7I+QFV7XOZScqKtYT5EotfsQdrX6fvR42i1pKq0PUqSKmcdlNwdQpxY+FUH1TolSSGZZTgrrC0k0y6xXzz+YI+13nQFor/iKI67+lPHaYWmKUWoXTCvxeowE2hThdjxnLsdYzKJmNk5ViA7EcAn95+9EMcJn1KXuAexIzk2wvp/fIH+p67jbpQUz477wTufu8XFf/H7PPffPj7/pWnamJX+bLDnMLJplzoK3MddsYWtcTNCF7cD+HDM8/dhqGZ3IdZd1JYXCsvgwR6jU5HRKah7htGZ8Xzru/D8Wwsu/Ppo/nF9IPa7KjE+KJHbE1X7CHEwJMY9cDyX430uTvSd7+xqzqjWasN6N8MZoU6BsTXCSsfR6zhGtefaZslKN2O9k1NkbmymJkDU4F4N2hJbP2USje9DjEIIgRAkyajqY1ZU+ahh5UdI0rIpoDd67Jicq+sQyDLbNDKlQFz9K0TGMrONRKsYwTlDWQbqWmuMeWaxmSHEoHK0Qc/fJARiVPYWaczrlE9hRNQ1QpqEJpllpwqGvgFp478QI8PSq89ESl5MUnuyZpIgrspSdQjtZ5/lFglQ5cvKxFHhTC9jrT8T6O5FhvXmANZTGX3WRHAvLrFOFqz2y8ESA5nzutj+J/Gc512XcDR3tx0axeOiOv681yhHaE/HXWKJY0L+3ID+797Y9rgE6P2X6/NfNEn/mVw8m8D9s2Z6b8CaiJ2pNOxptigCjHSekVq2fTFRDtDOFvcxm86Zqhde9w4HFa/PH4bw77uO4QOw9cD2g0QRti7OT8zEB8RHyCwxsyqBHgJcvZFeHIm+JsalL9ZBcaKTiV7HUPlIkRk6uWuTvIYTUeQq+bpZKum6UzhWuioFq2Zxun/DfWiCcaAlMjcr73VMxGtSspASCm1NitMHkobQrJwCsRGJhiqEpPiUyLKx4WQoxyGmxEAvIHE0UMWnsvKECFlmMdZinV6/QW8aIRGySf4Z6lgd2xit9srEsIn4LUnS00Qh+NgmTWMZW217InE+SNcRSe1RVgnYMWo7VJnaaYpMW5yss8TKT/FjlzgGePROslN7zlYJp/sp9p032U7M/rPxMdDqDs9iJhjZ8bjbXisT7UpxZveYEoo512okkZmOMdSJSd1ptty4DfM+rCWWuIcQ4cwvPsO1Jy+PH1uk4HTAFeylVObB0e+NqGrLYLS4gh9dwGzqopx4tgf3ye6nrTDNTkmLqrkRNFiZ/5nv1OK0l4Ri1o1dvGjb1nEqiAlcf33G6U+PJenbRGLyQ8gsscig2r90/XK8z8e+7oQ/8RM/wRvf+MbW6v6tb30rv/iLv9g+/9/8N/9NGyw329d//ddPHWM0GvGX//Jf5ty5c/T7ff7sn/2zfOlLXzrQxWdOpVb7hf4QGyO6IrN0cjVv2Rp5oocz/Q4r3YxuJ2sVlprYP4Q44eugXIlGQUkXbjVBsIlkPV6QHScSDfFYvSQaYrL6Q2SZw2Ua4GeJvGxTAjFW4WkqCzElFNImE2XtW9K0afZP78EamYr1bKpkuESe1kRFk4nah+SToS1Vuo+0r8kzi3OmvS6B9lghXZc6fY8/Nx/0uDH5UnRyS6/jiCESfFwu1B43QlRl052cqFc7WpFYKAEr47jYME1c3o1D0GohHxRx+82uKZktOp9pf5gzz3E0hnkxLaFNbUsscfIgEU7/H8+mPzj0yvASR4t+d8SptS26xeKg1gwNUqNqR/OmRYmtxG/7/4ltIZoEZNFOu1js7BgGiyYPk5seU6YSn/0ddHdEhOtfkWG2RpjN0fxEYoljwb6SiYcffph/9I/+ER//+Mf5+Mc/zjd/8zfzHd/xHfzu7/5uu8+f+lN/iitXrrTbL/zCL0wd493vfjcf+tCH+OAHP8iv/uqvsrGxwZ/5M38G7/dfXrIpIHZWidTOaTCbO83iyzpQh0gnt6z1c7pFRuYsdWxW8huCskbIunCblJZSwuBTotEE8Y1p3VQsM3E8YwWbZFPHx5LERxhrHpuksNQ8F5LVtqSkguQtodcR25aphrDdxFptVQX9IUlKFppjO2O05QmtLNSJ7xCbMmccV1CsNThnKTJL7kz7+TYysKZJrFBJ3LpxDI+QWaGTq+oUoHwMGFdtljg+hAjGQq/YvvULrUrsBhGtQMxLHnb9Cg8RnRxkeEyWDa0Zb8aAs1AeshwmFtVIa3TSllji7kBCZOWpawd+fRTYeNOZqWDzyNGsLh3V9jJDvztipTsCL9s2qQXZ3EOr8ERCMf/5BY+HxFGYzUCOMeOUyYRidhMYrR/m6JHVPxxgb25hb21hNkdHP6aW430u9tXm9I53vGPq73/wD/4BP/ETP8HHPvYxvvIrvxKAoii4ePHi3NffvHmTn/qpn+J//p//Z/7kn/yTAPwv/8v/wuXLl/mlX/olvu3bvm1fF+8Der8HurlrA9/MqZLQsIo4a+l1M4oso8gdDZ0hME4UYlJzagJwQdvpQgzJ38Gk36J+8WZC9jKiyk1NAO9SMBZSW5SPgUigriLiPZ5InqUEIrV4hJCWAKK0/hFNQhFCJPjQJirt6lJMdZGQXK8TL6KZNfRv0YqIoI7ZdaSufStj2zh2S0qG6qiJV9Y4gvtAJkEldOvxe4yMORZG1BQQzDjZCZGmQjocLnsQ7wg6OZxfnf/cYRWVfNx9xX/epHicK6CSEonZ5CcCWzWYTJ/f9zUYkEmS+669XEsscWyQOnLx//UHPPuXX8fgVWv7Gs/RwOBVazz3va+deJCj/10u1W0ODy/I6Hj4hdGw2GsE5rYkHTckaFfHNgVxgY3Lgqkj2T5VzSVGus+WPPjhcfJtNocEEWLujm7cL8f7XBx4ncJ7zwc/+EE2Nzd561vf2j7+0Y9+lAceeIDXvva1/Hf/3X/HCy+80D73iU98gqqq+NZv/db2sQcffJA3vOEN/Nqv/dq+ryGESK9w5JkdS2OmDghjhG7hOLVS0OvkdFKy0azwA+OWohSYpzX1lFyktf6kCiUmmcX5FOxPtDgZQ2oLkjbQDjFSpfakukr/T6v1IUSq1LbUjqVIInjHNm4JITIqa/WKEEFEXalbrrQPVLWnqjWZAFrydnMNzYMhqFs2pEVd01Qx9F3XYey6rWRxbfXKXHLnTi1VRWbpFNpGlheOLDdtNaKq0/X4QFkHhpVfVibuBKxRJ+u7hgXf8XF+9bu1YG1UjKsLs1vzWc22Mhkw8/Tel30hS9w9SISH/x+/t3AF2a9mlBe727bRwyt8+QfmSMMup+R7Cr42+HqH+fs+LI7GxJ2YC4Fbj6U5d071wlTghnF6G0SKFyou/6uXth3ObAwQvyRvHjf2TcD+5Cc/yVvf+laGwyErKyt86EMf4vWv1wnrySef5C/8hb/Ao48+ytNPP83f+3t/j2/+5m/mE5/4BEVR8Nxzz5HnOadPn5465oULF3juuecWnnM0GjEajeW+bt26BcCwDvQirBUZt4cViDAKniJAt+PoZRlFri07zlptGY+ROmqP/3QYIePEIRGQJarLdmYNUQyh8ZdIs3FEMDKRfKRl+xCiOj8HwUeQTEPq2kcKZ3U3HzFOiEYgyITUrF6QTX1WIcSW02CTopImFhFP0w6V3K9JiZKM1anKylMJ+DqSOdH348atVw3ROrOGbkeTshAFSRdUh6iVh/TbNgZcZsGoCtVw4KkrVcCJYVyZMQLOWVY6S2nY/WLReF+I0z04u0Mr025+D4fp5hmX2O4t7JRoiIDMk3HdKWlIWfqe91+iwb7H8xLbUK9nC4fb9bc/xPU/+dD24XmnfpbLldop7He837je58bVBVVlIBQRM1jw5c+blu4DmB140b0r0H1+umXPlIH1396hHTAk6+2ZQrPMSPXKXtScluN9LvYdQjz++OM89dRTfOxjH+MHfuAH+N7v/V4+/elPA/Dd3/3dfPu3fztveMMbeMc73sEv/uIv8pnPfIZ//a//9Y7HbJyeF+FHf/RHWV9fb7fLl1WZopNZQoRh7THWUOSO06tdzp/qcXatx9pKTpFbbPKUaEnEqY1oslOicYh2iS9BUi3KM6tmKnHs5yBpRNpW+aipTEAdApUPydhOg29fB7z3bYt3c47QVBAg7asJg4jgQ6BKng2aiATK2lPWSnhuBqGf4C0Yo27ZWqmxOKtJSu21fWm9n9PJlJhe+cio1nOI6Pt01rSKUqGRYYqRsk4qV0Zw3QysMBp5BhsVVRmS4Z26ceeJaI5oArQ0Ads/Fo33uRirBOwfDsgTV+K4vqbd5srZ4sDkdhisdnc4xiI/iJ0udvaiDJqFHfWF33/Y13heYhuiwNN//wniot95s2o7i52G4rz9I9r/O7ktsW/sZ7zHIMS98BPm7BJN2mwTWB9TYLrT/DyP97BoPO4VEU7/Xlx4jOZ9TyLkhhtf/cDCQ5rbA6Ss22uTssYEkAcvTG8XFx9jiZ2x72Qiz3Ne/epX85a3vIUf/dEf5U1vehM//uM/PnffS5cu8eijj/IHf/AHAFy8eJGyLLl+/frUfi+88AIXLlxYeM73vOc93Lx5s92eeeYZQCsDGjw7nDN0Oxlr/YKVfkGR21RpkLGEaeJIqACNjNt9zFj5SNuU9HlNFpKZm0hLGAoT2aRP3gqQ2oqikpaL3GlFI/EiSJUPH/SvhjTenMslZSqtGtAmPCapNjWk69p7RmVNXQc1sEumdZlT8rQkXkOeuCPOigr0GDWciwjGpMdFKy8imqwMSnW3bpKTloAe9P3lVsDDYMszGNZkVugXmrxYI+ROEyFt4UqVl3tx1foex6LxPndGv7AGZ3q7H3SyOTUTTSKmEr0DJCWyx+DZmfmb3WW75yBoEpLRkrWW2BWLx/PLD9HI/O1u5KBHFfzNJiCH3U44FsYrcfv24vPr3Ly2susxQye2U220ujEzfcdjmpLapGVmA+ViLNruBhYm3Gi7k72xibm1hQz3YE63CMvxPheH9pmIMU6V9CZx9epVnnnmGS5dugTAE088QZZlfOQjH+Gd73wnAFeuXOFTn/oU//1//98vPEdRFBRFMfe5TmYZ1ZEizyiKDJdZIkpklqRl7ycI1g2poHGoFmgt6xvysxWwTmgcpsdqSIFAxPiIyTRB8T4SQwqexSCm8arQQDrGiHMWaw2h1hX/UQUdO+ZtGKP+D1aMnqOpoqWkxTmDNRZPAC/UdWQUPT4EREzbWlXX+trgUEUrEQpnCAYCQl15OkbPE6MK34Qagg8YK0gMVF5bs6IkxacULza+HCYEMgvRCcYZPWcIZFYTFB8iToSsUKKJuSeDwnsbC8f75Qd0xX0WNeD2EA3ke1kB098M7W8loZn0Zj0njGiiciw9qXGH9zXpunWUCOzYzLvEvrHT/P1yw9P/6Gu1tXUGZ//1Fzn177989CfcqQ1mpuXjwKeIS939SSwa71984Sym15l+UEAKT9wD+XpXJS6BaGMrwzqPVL1oBlv4qR9iyosu0n+GuTKwo1NQrR382HPPZ4Vrb73E2V+b/zsKvQ4SAtSHY5svx/t87CuZ+KEf+iGefPJJLl++zO3bt/ngBz/IRz/6UT784Q+zsbHBe9/7Xv78n//zXLp0ic9//vP80A/9EOfOneM7v/M7AVhfX+f7vu/7+Bt/429w9uxZzpw5w9/8m3+Tr/qqr2rVnfaDfjejjtAtHGfWuhSFMvYjtG7SMbUJ2eQmLRMr5U2w3Mi4CpKqDrq1HhJRZaOMki4w0lQc0nEzq4NCCxMai0RBDFhjMS5ijSUzkRiFURWovSYJEsbmd0S9hsYQTutxtlWTangdZahJvnlJlckgRlSIJsWCMV2Gs4Y6kAjaqcoQGrK5umi75DURUlISiek4cULWP5EirEn+Evp8kVuK3DYfJC6QHJMZX8QSdx8Z7LnBdr+taU2/4LyEIjuuAdCc604MsMnPI855bIklDoer3/4I9VrOuX/1+eM/2S6+lUvcg4gQszjXAXsWB6kKzL0zyB4SmAOiuKHJTnn6eI4/ibDaa+9pEe1YoaqP/8QvM+wrmXj++ed517vexZUrV1hfX+eNb3wjH/7wh3n729/OYDDgk5/8JD/90z/NjRs3uHTpEt/0Td/Ez/7sz7K6OiYX/diP/RjOOd75zncyGAz4lm/5Fj7wgQ9g7f5rdIMysLKScXa9S7dw1IlQbFMa0LhJN5KmTYDckonToqpJATxETOJAhKCvMyJUla7c55lQeY8zhijaomQzIfiA9xFjtV0piqi0bIgt8bX2gX7m8AGsRLJMXaJtumYlTIdxG5Y1mtEb9XvwISU66fK1E0T5Cc5oe9N4pSmtTKQ3LVbIjfZmWpf0+KMyNZwRTNQ40KcqiREhTChZFZkhBCHLHRjB+0i3sLjcUteRUAVVgPIRMUK/n4ExRCtUw+WP9thRA8j8Vfxt/Pc9JhT7xbyE4rCJxG7VFmchPw6Cf1OdWCYMSxwNIvD0P/66uVWJY0fzkz+uvHtJSD0UpOPBROJgTjg283FEt4eE4oAf4dSd4QgSiUVVickTzj3HYYaAwLW3PciZX/syYa1/PFP4crzPxb6SiZ/6qZ9a+Fy32+Xf/Jt/s+sxOp0O73//+3n/+9+/n1PPRb9XcGq1Q5ZZNVCLYEyqJ6SKhGGcSLSSqzG2j2ulQfBeFYlMY6QgY56DNdJKw2r3UVJwSqZwddQygTTPkVqmAoDyMMo6YKLyDBoX7JC8IGKMxBDbzpLG6I449sOo6lorLKjzdyBijJK2I5q8IFETpKQyZa1pyd6DoWelcESjbUzq0q0JU1mpe7dN7VYmVVZAKy+kOBEDVB6TuBzUEbyW/JTfAZlT343R7RJnhLK+j5oC71UUBvJJpYqoKy93WkhLjVaUnHO3UXnI7MzNxLG3JMGxt7v1MtlYYo8QbcM40EsjPPa3f5Onf/QtU8nIg//P/0Lnc7e5+o5HuPW2xZzD0AmY0Q6R4RG1Oy1xMMShJQ5mFlObyv4dxlEuNe2YSOxyEVe/Sjj7qTh1MbcfFeoedF6E4sbig7tB3DGRiLnThdZyB8moJfaNQ3Mm7iZOrXTodTNNHGITzGuyICQpephQipL2v81DgkltPRpExwl/hhAbw7iIawjcIVCJNkEh0npaSCJbx9QqpclBWw7BClSVJ7MOY83Y46JJYExzXcm/IkZ8DJS1SrfG2Ji8JFM9JheaUmIiEYyQJcUoSUlQVWq1wwetxBSZUR0aGyEI1gdClKQGpb1SRiImmpa366xQlT4lF6LxovfEKGMpXLR1qx55Yoi4TO6nxPvexhQZTyBzpJLFgp0XfDGHjo9FKwZ3PTKJKaHoTLynyagppr8n3/DkDf2YKjhLLHEA2KHnFf/X35oakW6jQurI2f/9i5z5yLNsvPEML33nK/RJgVCEqX/vmFAcBiEeInKcc6yXG+a95cDiYLjhRcy8TiJIdfgFDgHCXW5PjhauvU4QP/4YgtM1zsF5GJ4V8g3oPq8fgkT1nmiw+egK/Wc2F6/8H+ZjWo73uTjRyUSWaQBvJsoOEWhi+HH1IY0daRjF6e+oRGPSK2OUVH3QZCSkaoH6PTSqTeCrQE0gy1yqXGig3iQRUbRtylpDboRaUhtQctQWI+Cb1iZajkJTRahTcB5SkA+aZDTXoFURDYa0IqBVCsSoUI5tSjG6NUlWHQN9l2uLVYyIhejVLNhZVRSxyehCUstXIJI5gwRDDB4vmmx5H8msJHO+ME4mrFY4OoUGlMWx9cwvAYyrErOQ7TebmR1od5iNqQ87v7WuitxlzkyTMOz2fJNE7OcO0yQks1WYZVvfEscDd2O+Ao0deBh4Vn/zRcQHnv8/vUKfmFpg2OXgzX1ygpu65977ZdvHgREHdk/k6ynITELRhANR24YO5WadpjSTvvtwF22iQg4yZzpt1KzKNSAKq18M4+m42WcXE9doLRSC+JkPS/bwXSzH+1yc6GQihHGFASaIxyJMUgja5yIYtCXJkIzdoma7WtnQnSQlFClcT/GQtIF+09LjUtm69sm/IkTEGKxL7UXR4IHMCMEnYoIw5UZdJyWo5lghqtysKjWhXJIY8R5iUGWqmIK0EAKCVg+MEZwTcqckbiVmS6rKCLUPFI1ZHWirE9pCJYguJieJWZxpsg9AietlFZJCFu3/JX0+zf+bxMUZYViqr4a/f34r9x46RnkJB11lmU0iJh9f9L3ttmA/OznuJI50GDin25Fg0Qe405udl0g0jy+xxP6w9rEXWPuPi41b9wI78GRXhwt/bzEPSLnoyRSETmrU3hW92pcP4pYlluZgU0aamtqEr+28jEQrCxMKqRNPYRFXIYwXWkHN444joahWdTsMgtVrW5T0Di526Tw/mBLdadEoMs1KyR7Us2mJk51MIE2rUJJpbZSRhNZEjhhToAvNL6ThI7RjaaJNajJ8iDESEi9CrDpg07RQWUOr/hTHrUpBIHitQhiEOkRcLhSZS21SmhA05nnQdkK1vA2AzFlNCqyl9oG6VilYRBOOJikg/T+i/AflY5jULqXmd6AGdb2cpNBk2hkjQpKmNZpk5VZ7zWMgxgAh4utIWelxmgVvZ8ceHm1LmRGy3FJVgTqqXOwytjpGzGbM22CBHZapdnrtbBw92e+9qIqxaJWlmewnk5fGqfHAfbV7MES0xyVHuiiRWGKJgyG7OiR/aXis54imud/NPjEnkdjfkY9whfXlc8OIXjRgWLgDuy8Uzfu45iQUJq3wazUjgtfV/TapaCoc2w/VvjZMRIum1sTkoN0+we2epByqwgL4rpv/+YWITBj/7h/L8T4PJzqZCFEViJo2HqCVep3sjp4sBbYy+qlUYYxpjdVaOVnGx7KipOTGDEUVkvSAIUasGN2P5BERQlqNVzaG1yif3FqcM5TeE1OVw6dKhrZYqRO2EVECtmkqDCapS3lVmLKpMiFjt+wpiPpIBGKrZhWBsgrUPmjikNStoqhrtRXB2BTpNWULPRhl5QlRpWyt0dnN2qb6k1zF40RCEqGsPDYzSY52iSND4aCYmIHNLp+vGO1jm/vcHs7XBB6zBknz9tnL5DqZ04c9ZBJewM7sY136ke+h3GFmCdhHgWUiscT+IRHO/v++wNV3PDo1Jtd+/XmyF4d0nr51R65jW799YzC2rEIcO0IQndMaHOIzF79LG5pEXQDyKfCfOK+EiegocTNiE9bMO1Q6j6khupRE1JPHmY9yPZLfYmqar1Y1kfCdhS8b4wjCh/J0QX59hDQxzaETiSUW4UQnExr8N79J5S44K615blNJoFnAlZZBoK7WRn9BjQzqOC7XwNpIxFk1Xmt8TtpUI+j5XfKAiF7dqENo2qZim1hYDz4lBTGCGE0mQpR2pUgrBg2/QY8jJsnURr3uJgkwRhWdiszgg84ENq1ShxDBJF5DukaiGtrFGJPcrZ7TN5wQ0jUQCVXEJA+J4CObw1qN+IJBLElBStrPovLKlzACSMT7QOUj2NAec4kjQuYSsTpBAsSww/LQDnebvS4pqYLBXq9wb4h7SCRALz+fmaKsbUqPO6/cGcvR9FjNLuUux/MSB8OpX7mCX3FTv6e133iB7JgrEpOILqYV37Q4Fjl8IrHsId8TohetRiSoAAq7VyfmYQ4Be9tLJWK9TCUSk2iTAYnT2hMLIAHwe0skAKp+E9xMPLYyUZHYaf4+ovWaai0nu1m2yYSEIxiry/E+Fyc+mWhW5o2QSM9p1T2MR6NJ1YooIBLbwN1abUOC8ZiWxLdo5lgNnMfnaL57l85l0oOVV48IY9OKfYjEIASJ1D4gEloNfmMkyavOdokol6LWTAJrUjdIjDinnhLee6w1FLnFOYFaEudhXO3wiagd0nXG9L5yZ9o4rPJBncGj+l7oYrF+NlmTDNUwGGkts5/nam5nlaPRmuOF2H6+IXlNVLUHI+TOttWRJY4B0bRVsu1oZv5DnmMvuvhCCkj2WJ3Yz5BYxItoJ2GZX6mwbuKzmfceZnu1liuzSxw/zv7CM8dy3PJil9FDfcoHu0gtxAUeLVKl1prJKuFhsZcq476O9fJAzALi7bEWOqXe47y2xylQ/P5am0an9nDeeedprmfB824A2VbEDtjx2rOXNpDN4bjbYi/tsbthOd7n4kQnE61oTATjkkeCCCKxjTFgmowdEz/CpcCaFNTrQmdMLVKTo1hVlJqaBiRuQDYmM9d1IIRk+Oa0tcL7FDeFSB08UntMCCn+G/tcNP4SMaqxXQgRn5oXoxNVgCLSzSwSLcMQMNZgjGnbqaxRFScYJxNqyKcVi7pOlYykrxwiVD6OqyJoJSQ0nwWA0c9R94vkzpDlSi5vZhPvI1lukwFHZFRHRpWnqgJZZlMb1DEOgCUWILIjV2Kv2E9FYo+5xL5gd6kqNBOAtTuQsWcN6Cb/P9kwPPnc1Elm/j6ON7rEEgfD6MEefjVj401nuf21DwBgSggStSc+oQkqzVCQiUrEsrvpZGJqDWnBd7ioIrENUZAwPV6OBHvNOuIOu85Mt9mWksKL64HuS+MnIjL1ObjrWwB0PvvStO9Rt4BOsfu9ZYl944QnE+OVfmcNRowmEhOQ1NIkMm5viqQWp4ZxFJvkNrVNpeXTiCYfzfM+eU4Yk7gK0iQnsa1gNNKvJpUAQu0p64CHlpvRLkVMTAYxhKTwJMnNWtpWI4gEazX0SQpNeqjmqpvDNaRurZjkqZoxCBUr3QxJZnhlPW7/MqKtlRF9D5lTsjlWMN6TWUOWqcSryQ2SOW2tCYlvYdUBu6o8VR3YGtbJnVs/y720ti9xCEzGxA32unAyuzi/7bj7qDYkz5Q9nXOv8Xh3DzIixuxB1SkwJn4sMq2bvTPvdHdbJhRL3F2UF7pEZ7j67Y8weO369JMBzNAQOmnxKoDdmj8RSzyChCKmdsujwFEd535HnGxTgjjDn5Mg2OEBF4N2etk+pr2wh+hyYWF9aidwW7rvypcC+a3tL5AY24TCbozofvq5+ccdjHSRrLcX0sYCLMf7XJzoZII4ETQbGZOtm6C6bW1LrtSJrN20QgUfiVE9IEidEgLtKr3YxgBPUuUggmiA7pzBp0DeGKH2WhEgSKoIGHLjUhtUahuKGso0Sk6GRMBOpG+b+BlRlE+hErFx/BqCEp+NafkTIXEpjNH3F1PLU79wdDuWkdd0Y7WX4RpehddEIEzcSdokyggxqTn5OrDSdaz2rCpAeYgmQB00XvWRmBIs7yPD0jMsa071skT01jarJU4AZm8gbRa4S3CtfXjTuyy6GbWlPZl+3R3BTizyBrvU1lssk4kl7i6e+97XUj3QXbxDTAlFN2A399IQP2c8H5Ux1xLHi7i9CrG/RCJOVQfiLustmqAeRRa6d6z/YZgypZsHSV0nvaeevUNXtcQkTnQy0SQSuU2+CMQUIMf0w9DB13RrNCpOpuEMVJ46JNO3phKQji2iq+uaAERAEwhjDYXTyoTExrTNU/ugCauolKoRg8m1mmBScgExuWzrjzGi3hTWQO4s1lqMEaoQqarQtkBJSo5UElZbtPJMCaYhCFkK/NRgTugXGf1+RhSh2ijpFJZubug4w6jyRKK2QxFbrwlEcIVVjwkf8KOKECIrHYs4odzyZE7LoaXXJMcZ0SQuaIvWqPQ4A3lm9HvJLHW9TCbuOERAMgjVUR6UbQH0ooRgtod13j3nriQUe8EO1rMthMWMxaPuFVhiiQMigllQkZiCRA0gZ1++16l7SUg9GA76Vo/qI5L5B5PAdMvTvCn+LiQUe8Ge8t9G1WYe9tKXvRzvc3Gik4kic8kzQvv/Q2w4CJpYiIy5NurvoKvt0QhE5UIYY9qAv069/86YJAdLkpOVlFxYokSctcprICa+BNpiZbU6UAclZA9ilYjTmhLkmZKX6zogqV3JWNu2ZqlhnSYNTXUjxICzVq8nSGpVMm0VxlqjiYgBHw3GQLfIiAhV6ZO0bUok6sBW5bGG5NSNlgURstyQ5ZZYKuehDoHhKJAFgRJu3vZcPJ0xKgMYEFEVqxCVYO5D8rkoLJ3M0O049auojjKgXWIKdjd9wAWQPbYkbX9h+n+ajHeaB5uEYqfzNAoEcyfwe+smtcQSSyzAkpB6IMjQTkvF7hFmJDurKe25xXXxjtL4UOxwrGjQ2GsPyk73FZbjfS5OdDIxLD19H1RhKKoZXNMwbmhkT2PLa5CG+xD0eWdNMl5TAo8kQzfnDGKEEAORpvd/LB3ro7Y0lYkwba16OxDBxIiktqf2dVG5CBYhBE+RWUKlAV0dIt5ramIMiS/RJL8akeVOV/pTnYXMaQUjxkjmDHmuf7u0x8iDhEBdh/baRnXg9lYNBmLU9+oywYmQ5w5jDNXQU9ZeFZm8p64jZZ3anyJc3yjJnME4wdlAxBB8+jwNrHQdRWbpdy30HNFY4kv3z4/lRCEyXvWYIlI3qyqyOF7fjeiyV273bIViHpLZ43hSlTFXwsdps7wlllgCWHYg3feIY9J8zMZfdkugX9RpGcGOdpkzd0kk2t38HqpTia8xmVA0/I02IbnTWHah3hWc6B4U6wzOmLHSVxxzJdq/g26kwN4YwUBrDBfRSkDjPu1c4iIE5QU4qxwEIZI7NZ6TCHXtCV5J02XpKSuPCHQLR6dwGDGtVKpzFjGGrWHFqPTKMYiN8pEmEiLStkNJ0l7NnKUoHJEkZWtUxckYFSPIM0Mn017wSR8WJ2CjKjD1CkuMkVtb2rZkRcicsNKxrKxkdFdzjBF8HZJbti4YdzPL6V7OetcxqgIbQ8/GsG4N6jJrcUarLkVm6XccK92MXj+HTqaz0JZf/qiPC7ZeXJWIEUI5/bcKmjNufN2lsnAnIQLOQjffTrr2Cy7SOeh0IMvY/Y0EYMjOGowRqNJW7rDfEkvcfVz+v/82nc/d3nGfaHQLC2RiAaKd3+K0LzRtH0e1vQwgWztUJSYSCQCpBDsw2IGZUuK6Z4q30oyjuJ0IvmDhyZZCtiG4Tdk1+SluCBsPWerOzvtFI0Qr3P6jjy3+bPpd6B6CfA3L8b4AJ7oysb7aodE3FbTNZixCo6ZtIZGrtW0pKsE4OT8D2u4Ux54MoFUFaV6TSNsqxaoJhw/qJq2GbcmbIZnX1WFcIcmcUQ5FMoFzRqhDoA6xTR6MaIJgncFZS4xQeq9BujWJJ2H0WDTHSX4aJi3eGshsowIVU/uIStTWdeD6RoUVrbQUztHtZ4gz4CAOlFBt0MwyCnQKbasqR5FrtypiUHL1ei+jkysXwhpBbOp790pSNy5dQwCC1wO6e2XGuw+QCxTN55lBqNmmBhHj3rkSu1UoDosQ9uhUnZKJRZisUOT5+JhT1z2vDDKbPIyAnGleQwTqOSct075LLHFv4sGf+F2e/69fw+abzo4flPlt7MFFzF49B5Y4HpRWZaxJt+d53TIzicSuOMZV+N3anKZ3XvxUW+EQJYYbP72/eH3cd6YPUlyb/hw2HrL0n/Nkm9P7xTm+Ebff9kpWf/3z91Ub0b2OE51M1JWn09UV8hB8UjuNExWKsUGdoD4U3tdJuckQQiCkX2OjjtS0RNFyMEjHTy7SQKhqRmVNSMpKIbUkDUvtYTdOMIhyCeoIDjq5tjrhQyJRWxwGjAbmIZGxQ0pEjKhKk0UToqrWVqLG+NfHiEPIk7KU/pyCJruV8kYqrzyREAJGDKsdS6+wacIK4CMxrfxWtZrudQoHzjAc1ty4XdJxwmCkXhe9jiPPrCZdSRWqab/3MVJXILUnT4kKxlAOj8DvYAnFLAfBuOmEIgb9ez9oyGhTKyQe8gWyrKNqPEFbu7gNqTGNVDLN/q5pHnxUjfBGcm0u4sz/56EEMjTT3W1sVmnfJZa49yARLvzLz/LSZs2tP3phVy5scBGzB+fkfWOypfIojnW/YiZ5UDdyGa95hO2qTHuBqZVHMXWqBWszbqspaAu+AyGb/4G3rz+iZEWCtl8tkoKVAG4gqU1r8XG2Llg6LwWKW2FuEjE+oLDxdY/S//gXkeqI5VeX430uTnQyUWS6Ym9CSgkkpthIgyO1ekjJghV89ISoakg+hBTvJOnVGGlcfGNU92olcCunoqyDJiwkaVVnKDKHiNHkIwTKSgNydbEGgyEoSxlfe1yqnIQQqWIiYafRFFLbSYwxqStFvDRBPiCR3AnOaRIkwWAzja2C12qHD+pqHUM6rmgLV1M1GVYB4wLdbByQ1T4wGKitZbdwQGQ0rLi9VSVideTWVknXZfQ6DpdbEG2LUtfrQF37lKxpnFlWHgmwNSzZHCxbRo4NQkooKvDV0ZZMy1TdaJKKYfp78hzeA2acLETYVg2I7JxQ7FaVmMWRLK5W0NbidsJ9NNMvcV9C6sjZf/0F7KDi2tsf3v0Fc1bCD/2bWqrbHBjRKt9A6kMkeXEOh8Y3x9f/u83tVAk7RDsz8vGDc2Vhd0oo9nvNO+2/h7WgKDA8a4gOihs7nzxak3T+JxaNjmJ8Lcf7XJzoZMIQUkATknSqpr36W9DVfhHt8fc+MCk64BN/IAJ1HVO1IlUErLSE6+Ajw8rjo0AMan9laJMWZ4XMCKNRaNulJERiIkllRrBZUnSq/dj4TkCi4IzFh+RGTdS2rBiJopWNKihRPLN6Xc3vWosckTIG6rpp52rI5voe1Yci4n2grCO9zFDkFozBVzWjyjMY1MSAEryTMlNZBbwP5E6ovFZk1tczlY4FVcSKygdR/4vkw1FpZaSbW24Pa+oqkC3bnI4XMvl/2f/ktNvEWNVzKhcTCBF1yTL6/3m7tQnFbGll+5/3FhZVJXTOmY+letkSdxZmFJDR7quvZk7AKiHNGXPy6iXJ+w7igJ+1KcGU2yfR9rvzutK/6Lu0pcYhvjNWd5yLe4jU3HCBdkP/E3OqElsDGJXq7zUHEpaLnwfFiU4mfFWDs21LUxNPQbrVp6CdNIcqD8Jod4YxbULgUwVDkJaYDdoiVHlP8JEQBRFVagq1ejQEH/GhphJ9TDOJuO03Z5IjtCcmFSZtYYopmdHKRnPpKZkI4FEZ2m7hiAEq75O3g/4QYohUqFFeonuo1wWCkUgVkkxtiGwOK9Y6HQSoSk9deQalp/IRkzpdfAQT9Br7HQdBCKOK1Z6Sq/EQCK2E7fiNKh8DIHOGzaH6d6yv5Dw/3KFmucTh4evxyotAGxVMcimaSlQ1QcDeK5o2qB2fB6If6zDP3Q8dYM5s3y/GGcWpewU7XdOi4O3+cTRd4mWA5sY4b7Fgr1NFaMQdjgDh5fX7kVp25UiYKgUw8+LfeVWJyePHxTodzetNpTGD7+3yhcuCID4uJlrfTZhBybZBHHbxEdrL+FuO97k42cmE90k+dRyLNHOjSf9GwCCqkGSVaNw8Vqcv0lrT7qtciajtO95T1yqT5IMmGMZEVVRoKhchUoWgFAFRIzpEiciTP/LaB2Jy7JbkbYFIWtXXHa2I8pnReEurJKrW1JjNWSNjM71kGGdE2mvWyoRgRdSYLqlZ1bUmCVUdqFFTvKpWPgVIEtRRTwrjI6MqJFK60CscIkJZh5azEYJWcSSZ/VnR6sSo1Jazla6j8qoCtcRxYmZia+dJowlFNhG8u4k7gaoTHF3Zdy8lBmfnJxxH0Wpx5DjRU+MSS0xBjoMrscThscv6jqnHccSU1obRJOBISPW7JRzNboa5vJx7buoGur97ZUm+vsM40XfMGDQYbrgN+qAO+KblKMX2WAFjTRu4R1IwTqrgyZjPEGOkrj2197oCHyJ10NV+YxNXIlUWRpXHh6Au2Ym4LelYyr2IbRuSjRrD5flEY2JUroMRMNZhULla0/ArErG7qr16RqREgqgu3jEYJKYWq9gEh4YgetyIJjLWaALlk/N2aMne2uJUFBbjDFUdqSutPlgjdHJHiOqnEbzyPLSxKVVDkKRYpYTvEFSSdlQFbm1WbA33SQheYu+Yp+bUQNB+vMngfSqQN00Z685hp+rDbtUJZ4+werFTPR+SesARnWuJJY4XG3/kDJtfdWbh83JAb8s9Y9lDfiBIvbP5nKll6nub3DMGkB3UwY8DCwn+qWKx07XMa7E7KPJbgeJGSD4W26vcnc++iLu6cTQnm4fleJ+Lk51MJJ5EE4BHJlfoNQCW1ErUBPkhqtKRMQZJMrCItkPpa2kVnXwiIDc/AmMkuVGb5AIt1N5gSEkHIMa0FQub6NU+mds1mUvtI24illM+h5DZVB1o9f3USdv7kLwxtLJR+YhN1yvpWkPryhgRAogmHSLaDtUvHEVmMJklGjBElcgFOnmGdZayDpQjVcWyVnBGQIROdKmTRisQWpUxGL0I6kCSyQ1k1uBDZHNUU1WeXr4Myo4NwS9OJpBpBdRZtNbwMcXWCyoGsLgNIp2GvcjLuh1UmNrKxpyEoqmmNESluNO5Jhl8OzX/zmMZTmI5Zpc4Gdh40xlu/IkHGT66sv3Jhjt33A7Fy+DqQJAdqFfCzsF5S5FLLRjzWp1kD+t4wSVFp1R1WNQytZNSWATEpv/PXLNJ6lQy2V204Bwm0c0kLOZE5LcC3WsBO4jbKIIh8TOzKzcXX+xRYDne5+LEJxM6MFW1KIr28qvhnH5JhkaRSdtwZhkNMVUGJJGI04NMHDp5QqhZHAJl7TV+SvwKZ00iewvGGsSQAnX1pmiqIHYm6ApxXB0YE8g1yYmivI5BFZCoXIROblsZ2sa7QlB+RZNMiMTUPqVtSCEpWa33MvLCIUmxSXzAx0BhLcZqJWFUemJy9JbUwoREMmupo1YinDOIJRnrpSabEFtDPNDPJ8ZIkRlyOdFD7N6C90lwIOEwE5H384nVk/2Ccd7jEw82SUh7k9ihurCbPOxsQtHsbycyoqa/tD3v7N1p3t1XZv69WyJxNyxbl1hi/9j8ytNc/5aHGF3uL9znTq5cL7ELZufUw6BRAzeaACTtmTYZEK+SsTsewoHvREJjpxPbNcxtM+RuhOcIYNPrJiRuZxOadmG3+SPS+k6YCe5z29o1cSH57UD3asAOY3swqccfqIkR++LORo5LHB/ug0gvtourISbn6jYB0CSicb72KeCHJCGbOAV1rSv5TZgRYxOoN+RpA2K0+hHVCE7TlUDmLNaYcTu6qJkcCPhxjOSspWMtQfQB5TSoQ7Q1yrFoFKSMgKQkxUggd4Z+J8M5wyA5basClGY8TTWlmamEiDUGn95jJ7d0ckNMwVcMkarW2ShEGA1rRkn1oLkGmekEsdYoX8RI20bWfF4iaBUD2lYnZ4UQIuWyb/HoELwSrieRxvO+4AOU9binNNK26KWDLj5kU6WYTSQaTEqJNVjkRTGL5sdizWK52CahMDLhOTEvYpp9A40U7G7Xci92AC+xxDS2XrvG1T9zmfJib/FO2r97/BcTxveeoznWfYqZjynKwaZvQkoU0nfbqjDF8XNmF1G5bYkEjKc+GRe89zuEotWWpoWJzMRalYTE+5h3rc35U1zltgLdFwN2tPjDMlUke2lz7xd7UCzH+1yc7Hp+E/PElCS07T4aoDtrUtu4Bj2m3ZqEojG1a4Lnqa7E1qfCpBX5InNYa1KQry1TDTFaUuWjqTY0bVJG0nVYVYMCDfAFjbGU+GzIM0fmbEokmuDdUOSO9X7OSjdvk4PKJ2J1c770b6RZ1NVrHlUBa4VuYVXitfTEkScmg7oIDEvP1qBKXhFJshZJn5HgA1SJRzKqlbg9HNQMBzXeR8SAc4Kz6f0H9bWwoi1kMd4/P5Z7D+kuIvO2OC7Hzn4HZTV/EoukasVup23OscM+k+fdi4+EpOTACGR72D/EPapqNBP/XhIJmO+GvcQS9xZe+q9euXMikRDdcv69VxGdLspI3L616tNzprjJRGIK6XawWyIBcxKJWUzY8OxFhhXSdYe9nR/GycSOSO+//9zOiQRANEL5mguEfmdvF7DEkeJEVyZEW/2Uw0BqYZLU7+9M29pEIhwbh/7YjFBXiRORAn5jTBtETQbATeuSBvuCjxFjhbKuoQqMak8I40RBEu+CKFhjsc5g80hdRTarCmMNIaTfqhEyY8gykyomKWOXcUXl1EpONzPUHoal8hIiBknBe0ytJU07lzVC7oxK3obAmdUetwcVG4MaZy0u0yRpc1gzrDxWJJlVSxvPNVzXqtJWqCiRYRVwNlJWgTqoy3XecwRjqLxWNkJUI8FOZrg9qljpOLbCUs3pWGFkgWTgDLm6uffc6baH3ZLJJikRgexemI6aJb5FicdR9iosscQxY9eFgSM4RVSO4lHgqI5zUiAepJr+EoTplh+AsMjy5pixl0SiKQ5rNULGU+gdhgCIMHrdg3Q+9cyYM1TWE/ehXRbB9oDleJ+Pe+HufWA0TT36X/2/BsXSjpdmXHuvsqoECDFQe91C8qKIqX2i6f/XlX5pY4cqSbtGiWRiKTKLMVqdaJSSSApSgiYzmbGIESpfq6xqlFTp0EDfJg8JgDr1r4sARhMYZw2IsDEK1HXiNMSgvAWYeo/WCJkT8sxgxLA5qlnrZVhr2BrWDEc1spoTiWwNPbe2KjXps4YoqXIRAyvOtDKwIUjicgS8h0jTQqbGdM4IW1sV5bDGGaFrjTp0o59dkVmq0ckuft03aCoRowVVieNCU+2bJXE3j89raQpxZ8+KY0UzJc7LxEArFztVL+6fm8MSJxwxeRQsgjQtMoecD3bzotnvsZbYhnYF/yja1ppD7LRmstfD+MR5aBEJ2XwjveNEe7Y0DodvuNw+V/zes8ioRryaqy4yrNszluN9Lk58pDcmV8f2b5uc6hKfuW1VClHVmarap5ac0LYjlZVnOKqp63HAbJIiUlUHRiPP1rBic1CxMSjZGtVYa+gV2p4E6jYNTceGDu9hmQJ5IxS5JXdWHa2dbsaYVtGpcce2xrTvqayDOlWP6pTQpFYmq3GYoApQndzS6zi6hU3tXYaVbkZZB24P6raDZFgGyjrgvTpYK/E8tr8Nn1qoWm5u+gyMJFM/a5IfhUAdsDHSzQ3dXJOIa5sVz18ftp+ftUtC6z2FIts5UJeJbad92EM7FAK9fCxRO9mG5axey15aoO4YFi3/NdWIkmUb1BL3AqTaxSNmt0SCI0okljgwDvTR7/aiPRyz7tK2V+2KqO1I21Sa6uS+fQcaD/bM21gQ4I9e9xDDP/Io4czq4ROJewC/8iu/wjve8Q4efPBBRISf//mf3/U1v/zLv8wTTzxBp9Phscce4yd/8iennv/ABz7Qiu5MbsPhcM/XdaI/WVEtoza4aZSVjEkcCaN8hIbk5JMBnTFjvoIQ2yqFoC1TGvDbtiXKmMR5gJRceLaGJYPSt8kAjH+cMUaGo5qtQUkIkSwz5JmlU2TkWTKGE6EOka2Rx3uN3BseQ0zytj7EVlbW+0hmtfWplxnWuo6VjtW2otzS71i6HfWKQKCTW612oNWWXuEIUahrVYeq60BmhZWO4/RKztmVnNWuwxlpORNGaDkopMFlpPlMhVGpM4m1lsrDrUHNrY2K4GOqqky3jC1xxHARzD4/30G5eFWlyVIbctHcfWB8x9oloejPNOUagdxpErGbutORQtAkYFk1WOL+wOX/4ZN0//D23jhOx41JbtZRbC8TmIHZ1uK0GxqVpLnHqyHbSK1TC4L8ug/RpkXPHfYDto2rhuNgy+3JxXHCDiKD8xZf3K1q9Qzu8njf3NzkTW96E//0n/7TPe3/9NNP86f/9J/mG77hG/it3/otfuiHfoi/8lf+Cj/3cz83td/a2hpXrlyZ2jqdvfNPTnSbkw+aCASvq/k2ybKKaOuRNcpPqCr9xYgRYgyqdORTT3mUtIKur3emcXUGiyYRubWIsdTeY0MgVpEywKjyLRlbjBDE4IO2JIUAuc3IMofJoqo5ZY4oQa8xeEZ1xBNaaVdrTOuL4YMmOiGQjPkiVgwi6uVgUkDfATrGkhWWmAmx8m0SYVB1pSK3SGoEy5zgENZ6jlOrjm7uCEGJ1k7GMZ5BKMMEQb2RvhWhk5vWPTtGKCt1zK7rQJEpZ4MYKevIqF5yJu4ZDEoWtu806kiTsAK+SSYXTXqRKe8HSdWIw2KvrU67luonn/Rps0yvowgnfCpc4mWIh/6nTwPw4nc+ys1vvDR+Yg9ViSXuEeyDXyCTng0wVnFCg3y3Nbs/xFT4rVaYO4e3x5osEB9BPhfyeCStTm4Q28senNeLLG4Eso1xNqOcjZdPEvrkk0/y5JNP7nn/n/zJn+SRRx7hfe97HwCve93r+PjHP84/+Sf/hD//5/98u5+IcPHixQNf14m+g4qM1YzU6UQ5ETYZudQ+4EMyd0NJyoiklf6AT681TQUiPd80NTQVBOe0z84IFMYSXaQIltKHxMVQ8nddeaoQEGsoCkcnyzDOEEWrC6OyxjrIncXgEBvwQSiruiWON1WVtpMktRoVzmJMZFRpOORSe5IRgzjlVvhS27FC0DiwDpHSR3r///bOLkauq8r3/7X3Pqequ203gUhuGyWRLxMpA7IgCQQnESRoBnOj4Yn7AFyNhDQSKI8hvIB4sBH3IeKBCBMjJGTJ5AV4YUZCQoK8EBgRJL6MrICQUcI4g9JjbGz6qz7O3nvdh7X36ap2fblddru61y/qtPtUnVP7VK1zav/3+iot5psWzYZFAMEz4679JRoNg3Y3wntAOlaIaCicwXxDkrXBUgbXwsBYoFHI+9fqhNRxmxBjlOZ/kP4XnSqiaFgAebsyHbJlJjyunxcP4zohkY5n7OhJey7rOvJmnQSFJWBujJDwYXrdrPOYhpaeHbY9iwoDuQXO9G1Q2ePc/e//hbv/47+w9vDduPR//+GGV7tvmjggDma77KKE1K1Q7O94HZsM07k+AXvgvgM8EsSAbV+frN2/3yTjgtzCJ4g4ZQsgTCk6juU4w0KY3AYPvIN33mLQeYuB22DMXcn1928jM2bvr7zyCo4fP9637SMf+QjOnDmDqqpQFBLeu7a2hvvuuw8hBLznPe/Bl7/8ZTz44IMTv87Mf4tyuhAIPf0R0qRWQoZy1SSLSAEcUkM3a0CR6+dzjAjJI2GMPMd7yYKQCXFEiBGFM1goHRwZUBXQ7nrpcxElRKlwFq6QLtkEhvcBFXvxMBgD8kBZiBcgsPwQCGVBaBYOzkmjuxhZSsGydLmWWD9J3OY0iWp1IxzJBdetIjzHlEhuULHkPpSOMFdIRaicb+EMwRuDtXZEtxtRGMmD8BzRqSS8qigIBhLWtNAsYG0h1mIIvlOBOxJ6xQBiCtNiAK1uQMMRqlQlK97uC32vkb8sRgmKgUJi2oz4Vtgu7Z66gQ3XL0B6kwh7GhfB0ZYnjCIiS/PxeGy6QdSmlTuHvPC079eXYVc9lv/tH8fuw5b7r6GboafH0U2zx74vYiOVYx+xij8qtGla5HK0kwiKiY/Z21+157iu1V8StleY5K8Q1xosJHrx84QNYzF/aXweW+MvKzCRpGJgdZN5b7fA3ldWVvo2NxoNNBqNqbzE8vIyDh482Lft4MGD8N7j8uXLOHToEB544AGcPXsWR48excrKCr72ta/h8ccfx+9+9zvcf//9E73OTIuJHI+fRUTuFSfhQrnBb/ZcAIYMAkluRE6QFq8FgCwsDINzEjKk3Kn3DCYDjhFdn55rCGVpUbKF9wExRmk+Z41Ui+pE2LTqS5YkRwNpKhIZVRI8gQkNR5gvLQonjeZCRN1ML0izbYQQpGkcJFyr66P0hrAWFTOYIyJiSqxiMBiNgjDXcLi2VgGIIoAsoV0FRB+x2q5gQJifF89FpxKvw8KcRWOuADoRBAu72ABQgCgC6xVWN0K6HqkWNsaQiAowmEmSyUGa33c7yIsbvfkTudvPRhu3ZfJrDdCcYv3CvnJ+ADrpC6B0o5vgZWGRL7ipUGHzPZzWDExRpgsxQBN4gvuEBKD6eIeJBcMGwK31rAhtvd3cYpgwcT+JSbCt/oFnYWE7oztz1x28p2iPzf/+Oyh9f3BZShn+7oTNMG4T99xzT9/fJ06cwMmTJ6d2fNoSCbA5d5btx44dw7Fjx+rHH3/8cTz00EP4+te/jlOnTk30GjMtJuqGckS1eKC8eEioJ7pSSpVgHcAeaFceBCMhTobqfYyRSlDSW0JCQGJkcJr0R5JJfqcKqQKSdHo2hDpUJIQgVZdAaBY29XZIvbhIPAAgSYAOMaYmdxKSFH2EjwyfvA91iVqkXJ0QQSQlYDcqcclUVZQocCvnEBkwqeGeMwbrnYCuD5gvHaoUllUFqcLkI6NhCc5aGGNAJCFOzTkHalpwkNeM617eIxPx16ttVCHKeYNAVprUAYT1tpceF3EzfIw16fXWYzA8EXuuAbSGVGSoO0hPiUlCl5iBqmfJyqak780nAN0Bruv677FJEjeIeB2Hu3Z6hURGBYVyZ8LEYMcgP/gauU5IZG5CUHCM4CmFfeymuvuTYlsEt0GD3/8RtzuKsuIf3egJ+sRMcFs1HkBPqJbMtfpdC7Yz4iWmfMukwHCtAD832KUiQqLn+4YALgo51W0Kilth72+88QYOHDhQb5+WVwIAlpaWsLy83Lft0qVLcM7hbW9728B9jDF43/vehwsXLkz8OjMtJpyVzst1s7m6E3V/d2gHgjUS45M9Et7LhMU5C8Qo0wkjfRIohecwIF4FZ0BkEaOXsKTI2OhUWGtV2D9fApxKu0YGg9LrSNlXqY4kSdZkOfW1MCishB35TgAzoVNJy0tONdtyd265l6Sk8AiUjmDJIHKFkMrYFgYwTBK0EVka4TmSRnc+whgkTwYDRrqCh0qS10trwSz/BqQKlDEGccNjbc1jZb2Dtx4oMFeKZ6bd9XAGaDgnDe9SlatWN8h7Q4QqBDSimarLVNkmwyb4xmw+luPfhuF7bpxb59y50yFBRMIk3at7hYLE8uX4OznGbQ91yIIik08yhzYNQgWFcgeSVpi52LTLnIw9VEj07KvmfPuhiP4J+qT7cPq4Ctl9WDdpdpJbARBCE30zejY36JFg6jMhifjZ9ALbDm67DZGPcOvZpQH4eZnWNno8Ev07AFw4WZXvjEg4uY0cOHCgT0xMk0cffRQ/+MEP+rb9+Mc/xnvf+946X2IrzIxz587h6NGjE7/OTIuJHM4EyCSW0kQ5J2bnXhLdKInDJlVNkopJuUqRJB4bkpKyzCm8iDn1jTAyeS6teAUswbL0j+j6IFWhYu4RARhn4AoDay0azsI5C89S6QhRxIS1BoW1sMkTYkguyhAZlMrWMnOdgM0QD0hM+RztKqDTlTCn0hKMJTAkEZrSeYGBTggAizeiwyJobMqZWO1KcrrL71eU0KjIhLX1ClUVwV5K1JallQkjMwprsK9p0Gy6Olej1QnoVAGGpHlejBKO5Yz00lB2mEYD6PQsF/UKicwwQRG21LPPX3rSqRGb1QLSc4HhgoL5+i+anNhEDFQ8vaocMU7geckJ2Hkg9c5bfg9DBYVy57Bx/wFc+Zd75Y8eu2c3uX2yAbiU50+c76Y5E7eWLd6JLCQ2F1EB2ORf3SIo2Ka5frqV2TakWEuTEVM0Q786GD4MM2Btpb4D5qiQKX18oUGwndEHc+sR8/8jYoB6vjdcSzwRpjsi+5wI7CwQLPhv1+rNkScQFzts72tra/jTn/5U//3666/j3LlzeOtb34p7770XX/jCF/CXv/wFL774IgDg6aefxgsvvIBnn30Wn/70p/HKK6/gzJkz+M53vlMf40tf+hKOHTuG+++/HysrKzh16hTOnTuH06dPTzyumRYTMU+AUt4Dpf8xpyTl9EHlsBufJvNS7pRSaI/sk/tIVKmhmxSGkhXLGBlkLKrKw1jCvJN+DLkPQwxJdhjpJ+FK6UJtjUz0HafQnyCv72NEDEjdqpOYQE6kyyIihziJ8LHSBQ4hMtZaHq2uhzNczws51Sw2lHMy5FyYgHY3oFlIedjCSEJ55SOahcFC08KQHBeQClhVqlBVFgbWFnCFlUVaAhaaDnNzFrYw6HYC2pVUbCoLaZTX7gQ4Y9AsLPbPORhMUE5CmYytN/5Jsaa/7OswLwTzZq5FZuvkPt/86gtuC1lQbK0QlY18GFlUTIuxhzKQUliD3gud0Cizxfo/vgVX//kwOvfuu+6xvPI8LjIjezRyH4L8eyx1fPEU2MViggINDj+boHBFncycvUdbb8sEuaVtXSPacjunQQ7YvifIsbd+nBQARBr69TPt1I5x3pJiLWDurx6udb1RU/akjzOlyoNX1sA9CdnME8xXdtjef/WrX+FDH/pQ/fezzz4LAPjUpz6Fs2fP4s0338TFixfrx48cOYIf/vCH+OxnP4vTp0/j8OHDOHXqVF9Z2GvXruEzn/kMlpeXsbi4iAcffBA//elP8cgjj0w8rtkWE6mDda86zk3W8kckIUKyWh8D14/nVXRjjfSfIOn+nD0Xxsh+kmQsk/UQGVWMaBib+llQ3VyOILkZWZSEEEExAoZgHKFwDpGDCJ0gXbiRPCPAZv4H5/9imseliztmzwVthhTNl1bCvLBpkwx5HqceHAEiEDiNzRCw3glwljDXNGgUsqRh0vnkClDWEmIgGGPR6ng0TU9yOAOtDY9W2yOk5nfNwsIYgg+MuYbFvnmHcqFEZw/GwN5+xtyQvO+524+Lc5jGcHjwov40ysHeEKO++iatqTuKKa5QKco2WX/XXbj25CG0/9f2wyS2CgnlFhAx+L445i2vO1Cn+cAo7THtgnq9x73dd+9BnhAAcBsBjasebuMmFio7XRESw/IJ72CefPLJkc2Az549e922J554Ar/5zW+G7vP888/j+eefv6lxzbSYyE3rHFG9osrJBcU9DddM6t4csdloDZBGc9YagKOs4gMwdQdtAnESE+AUkrQpODiizs8AADJUhxdJcjXAFECWEIlBMHDWwFdyNwkpmTq/Vg53yqIhJ2bLxSQlYX1gOEfwMaIsJC9C8js2rznxUMiYQwS6MXX2NoQi54sERqOwKHP/DAPYFO5ljeRB+CiejQjAtyOa+wjrG17CmTrA1bUuODLmSwllspZgjcFcCTScQXN/Q8p5tu6MmMRdDac4uUF3+xDkZ/PJGJ7RN6XxDBINkUdXYZqUOixqzLFGPj6pi2dUELkKCeXOQOLex9sz04gFVXMTQoLFgz8VdrFnYhhsMTRpniL6e0Wk2/xW0UA83vM02WCG2IiBfMQ3+fHkRnvjFvZtm2GqwU8yFWAmqFoW50uYjSFl0asKvNEaP+BBqL0PZKYD2rkvZInq2P+Yej4AMuF31uT1//TZSW6CSd6AXFWJCHBWwnWy50J+cjiSiIcqSCUma3K0R+ovzdhM3IaYsDSrC+h0vdST7jlOCAEhiscDtClOfIjiVUivw2kClcWKTNqtvEaqKtV3veTXMRI6XhYW8w0nXghIh+qFpkVR1CcgIibIa+TGcxIHyXBGHv/7WjflSQRstCuUljDfcChsqpZlCM2Gxf59JbhwCJ6x0dIwp1sOc66DvGV7FK/E9Ttcv4mGTLC3dsW+GcbdOGO8PqyqHgehTi4adK699CaFD34hTPZlMNO3R2WPsO/8VSy8enX8E4dFN95oEq4yVdjwwPf/OiFR7zBgMs6DnzvV6knE47XEsHWq5F1hA8CM9qDYLqPYGP5KfsGgmh9f6CPuawweT7cCd+6s0rC7gZn2TAAiCEQAyIq9iAuGSc0nDIlHQWKP8j6mFiCcJtE54KienEPyHQgEciQ5CxBxUPlYr/RHZhiWcqzGyliQjktspJSs9yAQGmnV3xBJrmlkGItN7wJLIzj5iWmeb0BOunCbKB6HspBEcEmWkNdijgBJDoVJ3hhrLDwDBxYc9i0UYM8IVcT+eYc5Jwm0lZfzqUUQkSSfM8OlfI65hsXGRhedbsB8aeCjCIz98w7GEDpeSsWSSe+XAcJGhY21Clcvb+yEWewh0gp5noT3fimFWOcUDd5vgtV5mxTpNBjmncjiIIX+oUi3pZQnVI+j9/nA5rlu9ULYSWZG2bMwiYdi2PunKHcG7moH5XIL3aW50U8c4GxjyzeUpL0Vjgye0qx1VPjGboQCYNsEm5rW9SZLGz9i0t3joRjplYiQiM4pwHZEknX+GuotU8v951I/Na3z5AjoPtNhoFgbbwPsCLE0MN3x301bTTNutMBr62P3G/raau8DmWkxEXu8EpxCj/KHwwTpgwAghzXkmr6Un58m7zH/m4DsvSAiWIhXojQS+kSQSToDaBRGKihJMddULt9KGVlDYCYgSidoawneA61OgCuoriDlLKFwBkyS14AoIiLGWF+wnK5SayRokZkkbTRVr5KCTclDY9L7YSn1fjC4qzRY3FcA1iBUAYWVsKQQA7qVdMB2yauQS8vmsTmIODKWcG2tA2sg4w0Rd+0rARBWWh4hROxrOrCTpHHf9miHiL+ttBGmNRFVhtCzSh+BuiV8RlxvGP4NQMO9EtthXPhRb4iSJDn1l55lSMM6AGiWw4VBTAIqeyxuOB8jv+aoWyADAwsI3O7oYUUZzf7fXgEM4X/+9R9GPi9F+E4XntTTN+mx9gYUAdeiunRv3tY78SYeLyiGejBuBSRNaeshDRAXMd1SbXd4/4vsoag9Kjc4p672iUKauzQ8jJp8GOztvtkJvNr7QGZaTGThYIx0XM7igmizupNEt0kYkLEm5V3msrESUhRjREwZRnkhVxKrU/nZAnCOUFgLZ6XEqnMWoFw5U7wIIUZEv5l3UVgLsgSKDpUB2IdUdlZCjeaaDhEGHe/FO5LClQhZ8MTa7rtefJvOknhCjHgpcoRT6nCRPDU2eRgAZ6108K6kfGuOfVpZq0BWenAUTpYKKp+FhJEUlCjCqtMR4XHXPof50sBFQhUYKy2PTjegWZg6PCrGiI12QCTJQyFtgT09Ytz0EpCRu/Akb68k+wx4YAIhMdGNlzZ/jYrdpp7jSZv30YedpKxwTixq9NbLnlLwMNQVruwiRl3KkzrplG1TJ1IDgAHcRr+QGLrfGEHBBMABNGjifiPrRIPCp7Y+JXsnJsifGNb3og8SYWF6NAEb6iv1uh0oRLjLa4O/v3L4xrTKkCsAZlxMxBBBhqRaUZQkZcmdkJ4IPgRJKrYEwKQKTKjDeWKMKb9CvBvGSG5FjJx6aaUKTj7Cc8B8YVHEgKojd4RWx6NbhdSvApLXYAxsYUVIOIJP/SrKwkn4T4ywZDCXEqDX2kG6WIcoi6y5AzdJorTkgEgOR1E4RI7gGLHR8bJoy4RUNArOGjhna+9JzvsAIGIq/e3TOe0vLSxJsnVu8Eep10a3YiCS9KEwUvp1caGEcVIS9upqB93Kw2XRBClBW/mIqgqIJO9dt6sX7C3hhlc0BsQ3jBUSGN4llFPsYL4x9z02LO8hiYPKT+9GPvAUcrbgzTDqmzCPXWdfyowwKsXIE4iBWG7vmtSwj20whWTmXpgATusp9SSeAL8w5Pm9oU+0+ZtHhUzVO+OWRnl29xPKFb6pfA93aWXoY2bfApgI8erft3VstffBzLSYAOXFTvlAbM49iLFOfpb8BwOi5IGoIkwKB/IRgKEUxiTVlphZGrZRrIOkfIwInmHJYq7hwEFERKdTwQdxJdje/IyevIvCEtppxWC+UaBVeQTIyn6MAd1KfpgjyloISLM4hozPGELhLIwltNss+4YIZwEfUjhSaVJpWulxYdI8zxVGwqYgJV05Sp+LxTkHGGCtLaVqDclitwXBp9wMB4v5hsV612O+4cBEWG15bHQ81lsVAMbcnINNvSu6PqLdDSAAVWrkt97W1d07Arsl3IkGFCXfSndEJS5rh3sOevM0BoYpDRA228VYoBzUxXMSQTEsjElRZgsmWdG9qctKvRN3LCO9E1uIBQACYjnuoIO3sZlAUEwJCoM9GN0DBuVKHC8obnu5cWUYMykmsnhot9potUtYBjpeuqpxihMi5noSTUaWLwMHlGQBE2EgjeRgpNeCMYQY0kUrucx1lScfGJ0qYmOdUZYGiJLk3e4GERNglCkJ3Pi8Uktouy6cM2j7CsYYxKZ4J3yQROgqyDG6lXgZYgqdiiwXkUy5CIYLgCMiGOstL/lUFlgPESEQmtYA0YCjQwwW1hhwZHRTV2sgwrCBDwE+5YM0DPC3jS5iECGUO2ebpCqsBQpj0WoRLq+2sVCWWFmX3I52FfDXa204AmxsgqNL3oyI9VZAYQmtELC6XmF1pdX3mSk3Tn7vVla3lLIbdKcd1YbU90yczQRiojNCTPg4OtF5XKnKHM86iknybewwMVEfZMj2cec/qcjoP8aK2vtY8nvjUWke+5S49sEl/O1/vx1o30TdfMN93omYjjXOlj13phb77XdhaGF+/+KWzya0CRy2enUBHpJn0DvpjsUYcUGjb58cuN87sWUMY8WEp7HPMZ0xx0CK1B1yvq0mhgqKYsWjuOoxZFdQHPPicxZM+xCvXO3b7Fne5FE2r/Y+mJkUE6urqwCAf/o//7bDI1EmZXV1FYuLizs9jJkk2/s9Dz67wyNRJkXtfThXrlwBAPwnfrjDI9lFvJx+bgHDbLksSywtLeE/l6f7OS4tLaEsxy2rzw75/v3Gl//fDo9EmZRBNq/2PhriGVxCizHij3/8I975znfijTfewIED2+/8eSexsrKCe+65Z1edEzNjdXUVhw8fhplmz4I9hNr77KD2Pp5r167hrrvuwsWLF3eV4Npt9jyJLbfbbXRHhUNug7Is0Ww2p3rMnUTv37PDOJtXex/OTHomjDF4+9vfDgA4cODArjHkzG47p900YdgJ1N5nC7X30eQv6cXFxV31uWd2kz2Ps+Vms7krJkK3Er1/zxajbF7tfTi6dKYoiqIoiqIoyrZQMaEoiqIoiqIoyraYWTHRaDRw4sQJNBqNnR7K1NiN56RMh91oG7vxnJTx7NbPfbeel3Lz7Ebb2I3npGyfmUzAVhRFURRFURRl55lZz4SiKIqiKIqiKDuLiglFURRFURRFUbaFiglFURRFURRFUbaFiglFURRFURRFUbbFTIqJb3zjGzhy5AiazSYefvhh/OxnP9vpIU3MyZMnQUR9P0tLS/XjzIyTJ0/i8OHDmJubw5NPPolXX311B0es7DRq78puQu1Z2UuovSt7gZkTE9/73vfwzDPP4Itf/CJ++9vf4gMf+ACeeuopXLx4caeHNjHvete78Oabb9Y/58+frx/7yle+gq9+9at44YUX8Mtf/hJLS0v48Ic/jNXV1R0csbJTqL0ruwm1Z2Uvofau7Bl4xnjkkUf46aef7tv2wAMP8Oc///kdGtGNceLECX73u9898LEYIy8tLfFzzz1Xb2u327y4uMjf/OY3b9MIlTsJtXdlN6H2rOwl1N6VvcJMeSa63S5+/etf4/jx433bjx8/jp///Oc7NKob58KFCzh8+DCOHDmCT3ziE3jttdcAAK+//jqWl5f7zq/RaOCJJ56YqfNTpoPau7KbUHtW9hJq78peYqbExOXLlxFCwMGDB/u2Hzx4EMvLyzs0qhvj/e9/P1588UX86Ec/wre+9S0sLy/jsccew5UrV+pzmOXzU6aH2ruym1B7VvYSau/KXsLt9AC2AxH1/c3M1227U3nqqafqfx89ehSPPvoo3vGOd+Db3/42jh07BmC2z0+ZPrNsD2rvylZm+fNWe1ZulFm2B7V3ZVJmyjNx9913w1p7neq9dOnSdep4VlhYWMDRo0dx4cKFukrCbjo/ZfuovSu7CbVnZS+h9q7sJWZKTJRliYcffhgvvfRS3/aXXnoJjz322A6N6ubodDr4wx/+gEOHDuHIkSNYWlrqO79ut4uXX355Zs9P2T5q78puQu1Z2UuovSt7ip3L/d4e3/3ud7koCj5z5gz//ve/52eeeYYXFhb4z3/+804PbSI+97nP8U9+8hN+7bXX+Be/+AV/9KMf5f3799fjf+6553hxcZG///3v8/nz5/mTn/wkHzp0iFdWVnZ45MpOoPau7CbUnpW9hNq7sleYOTHBzHz69Gm+7777uCxLfuihh/jll1/e6SFNzMc//nE+dOgQF0XBhw8f5o997GP86quv1o/HGPnEiRO8tLTEjUaDP/jBD/L58+d3cMTKTqP2ruwm1J6VvYTau7IXIGbmnfaOKIqiKIqiKIoye8xUzoSiKIqiKIqiKHcOKiYURVEURVEURdkWKiYURVEURVEURdkWKiYURVEURVEURdkWKiYURVEURVEURdkWKiYURVEURVEURdkWKiYURVEURVEURdkWKiYURVEURVEURdkWKiYURVEURVEURdkWKiYURVEURVEURdkWKiYURVEURVEURdkWKiYURVEURVEURdkW/x8l+rCWDzzK2gAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "wl = np.array(rdn.metadata['wavelength']).astype(float)\n", + "\n", + "state_path = Path('~/.isofit/imagecube/medium/output/ang20170323t202244_recon_subs_state')\n", + "state = envi.open(envi_header(str(state_path.expanduser())))\n", + "state_im = state.open_memmap(interleave='bip')\n", + "\n", + "fig, axs = plt.subplots(1, 4, sharex=True, sharey=True, figsize=(8, 5), tight_layout=True)\n", + "axs[0].imshow(normalize(rdn_im[0:400, :, bands], 0, 15))\n", + "axs[1].imshow(normalize(state_im[0:400, :, bands], 0, 0.25))\n", + "aod = axs[2].imshow(state_im[0:400, :, -2])\n", + "h2o = axs[3].imshow(state_im[0:400, :, -1])\n", + "\n", + "plt.colorbar(aod)\n", + "plt.colorbar(h2o)\n", + "\n", + "axs[0].set_title('Radiance')\n", + "axs[1].set_title('Reflectance')\n", + "axs[2].set_title('AOD')\n", + "axs[3].set_title('H2O')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "af4360b8", + "metadata": {}, + "source": [ + "Finally, we can examine the final results at the end of the anlaytical line algorithm:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50c92071", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.1097916..1.0983623].\n", + "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.11736042..1.7135264].\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "rfl_path = Path('~/.isofit/imagecube/medium/output/ang20170323t202244_rfl')\n", + "atm_path = Path('~/.isofit/imagecube/medium/output/ang20170323t202244_atm_interp')\n", + "\n", + "rfl = envi.open(envi_header(str(rfl_path.expanduser())))\n", + "atm = envi.open(envi_header(str(atm_path.expanduser())))\n", + "\n", + "rfl_im = rfl.open_memmap(interleave='bip')\n", + "atm_im = atm.open_memmap(interleave='bip')\n", + "\n", + "\n", + "fig, axs = plt.subplots(1, 4, sharex=True, sharey=True, figsize=(8, 5), tight_layout=True)\n", + "axs[0].imshow(normalize(rdn_im[0:400, :, bands], 0, 15))\n", + "axs[1].imshow(normalize(rfl_im[0:400, :, bands], 0, 0.25))\n", + "aod = axs[2].imshow(atm_im[0:400, :, -2])\n", + "h2o = axs[3].imshow(atm_im[0:400, :, -1])\n", + "\n", + "plt.colorbar(aod)\n", + "plt.colorbar(h2o)\n", + "\n", + "axs[0].set_title('Radiance')\n", + "axs[1].set_title('Reflectance')\n", + "axs[2].set_title('AOD')\n", + "axs[3].set_title('H2O')\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/isofit-tutorials/build/doctrees/nbsphinx/how_to_run/functions.ipynb b/isofit-tutorials/build/doctrees/nbsphinx/how_to_run/functions.ipynb new file mode 100644 index 0000000..dafa18b --- /dev/null +++ b/isofit-tutorials/build/doctrees/nbsphinx/how_to_run/functions.ipynb @@ -0,0 +1,168 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "fe75c48b", + "metadata": {}, + "source": [ + "# Internal Functions" + ] + }, + { + "cell_type": "markdown", + "id": "f0f4eaf6", + "metadata": {}, + "source": [ + "When debugging issues or testing configurations, it may be advantagous to run Isofit in a more controlled manner than the end-to-end Apply OE pipeline. This notebook gives a quick introduction to the structure of Isofit and how it can be used more like a Python package.\n", + "\n", + "NOTE: Isofit is actively developed, so while we make sure that Apply OE is stable from a CLI standpoint, individual functions are subject to change." + ] + }, + { + "cell_type": "markdown", + "id": "eee6abd3", + "metadata": {}, + "source": [ + "We'll start with the medium example found at `~/.isofit/imagecube/medium`. First, run Apply OE on this example, or for more adept users, run Apply OE with the `--config_only` flag. The objective here, is to generate an Isofit config file at `~/.isofit/imagecube/small/config/ang20170323t202244_isofit.json`. This saves us the trouble of building the configuration file manually. We can edit the Apply OE generated configuration as needed." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "75064908", + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "from pathlib import Path\n", + "\n", + "from matplotlib import pyplot as plt\n", + "import numpy as np\n", + "from spectral import envi\n", + "\n", + "from isofit.core.common import envi_header\n", + "from isofit.core.isofit import Isofit\n", + "from isofit.configs import configs\n", + "from isofit.core.forward import ForwardModel\n", + "from isofit.inversion.inverse import Inversion\n", + "from isofit.core.geometry import Geometry\n", + "from isofit.core.fileio import IO\n", + "from isofit.inversion.inverse_simple import (\n", + " invert_algebraic,\n", + " invert_analytical,\n", + " invert_simple,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "04d04288", + "metadata": {}, + "outputs": [], + "source": [ + "# Load the input data\n", + "rdn_path = Path('~/.isofit/imagecube/medium/ang20170323t202244_rdn_7k-8k')\n", + "loc_path = Path('~/.isofit/imagecube/medium/ang20170323t202244_loc_7k-8k')\n", + "obs_path = Path('~/.isofit/imagecube/medium/ang20170323t202244_obs_7k-8k')\n", + "\n", + "rdn = envi.open(envi_header(str(rdn_path.expanduser())))\n", + "loc = envi.open(envi_header(str(loc_path.expanduser())))\n", + "obs = envi.open(envi_header(str(obs_path.expanduser())))\n", + "\n", + "rdn_im = rdn.open_memmap(interleave='bip')\n", + "loc_im = loc.open_memmap(interleave='bip')\n", + "obs_im = obs.open_memmap(interleave='bip')" + ] + }, + { + "cell_type": "markdown", + "id": "fe59a430", + "metadata": {}, + "source": [ + "Much of the internal Isofit structure is object-based.\n", + "\n", + "The `config` object contains the full Isofit config. This is constructed directly from the config `.json` file:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "2ac3ee92", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The config object:\n", + "\n", + "\n", + "Config attributes:\n", + "_input_type\n", + "input\n", + "_output_type\n", + "output\n", + "_forward_model_type\n", + "forward_model\n", + "_implementation_type\n", + "implementation\n", + "\n", + "Example:\n", + "Forward model type: \n", + "Forward model: \n" + ] + } + ], + "source": [ + "# Initialize the config object\n", + "config_file = Path('~/.isofit/imagecube/small/config/ang20170323t202244_isofit.json')\n", + "config = configs.create_new_config(str(config_file.expanduser()))\n", + "\n", + "print('The config object:')\n", + "print(config)\n", + "print()\n", + "\n", + "print('Config attributes:')\n", + "[print(key) for key in vars(config).keys()]\n", + "print()\n", + "\n", + "print('Example:')\n", + "print(f'Forward model type: {config._forward_model_type}')\n", + "print(f'Forward model: {config.forward_model}')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "daf7e8d6", + "metadata": {}, + "outputs": [], + "source": [ + "multi_fm = ForwardModel(config)\n", + "multi_iv = Inversion(config, multi_fm)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/isofit-tutorials/build/doctrees/nbsphinx/how_to_run_apply_oe_12_0.png b/isofit-tutorials/build/doctrees/nbsphinx/how_to_run_apply_oe_12_0.png new file mode 100644 index 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", 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", 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", 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", 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from spectral.io import envi\n", + "import matplotlib.pyplot as plt\n", + "for _key, key in enumerate(report.keys()):\n", + " if _key < 1:\n", + "\n", + " rfl_ds = envi.open(os.path.join(output, f'NIS01_20210403_{key}','output',f'NIS01_20210403_{key}_rfl.hdr'))\n", + " rfl_rgb = rfl_ds.open_memmap(interleave='bip')[:,:,np.array([60,40,30])].copy()\n", + " wl = np.array([float(x) for x in rfl_ds.metadata['wavelength']])\n", + "\n", + " miny = np.min([np.min([i[0],i[1]]) for k,i in report[key].items()])-5\n", + " maxy = np.max([np.max([i[0],i[1]]) for k,i in report[key].items()])+5\n", + " minx = np.min([np.min([i[2],i[3]]) for k,i in report[key].items()])-5\n", + " maxx = np.max([np.max([i[2],i[3]]) for k,i in report[key].items()])+5\n", + "\n", + " plt.figure()\n", + " plt.imshow(rfl_rgb / np.max(rfl_rgb,axis=(0,1)))\n", + " plt.title(f'NIS01_20210403_{key}')\n", + " for k,i in report[key].items():\n", + " plt.plot([i[2]-minx,i[3]-minx,i[3]-minx,i[2]-minx,i[2]-minx],[i[0]-miny,i[0]-miny,i[1]-miny,i[1]-miny,i[0]-miny],label=k)\n", + "\n", + " for k,i in report[key].items():\n", + " plt.figure()\n", + " in_situ_path = str(Path(f'~/.isofit/neon_subset/FieldSpectrometer/{k}01/Data/{k}01_Refl.dat').expanduser())\n", + " in_situ = np.genfromtxt(in_situ_path, skip_header=3)\n", + " plt.plot(in_situ[:,0], in_situ[:,1], label=f'In Situ {k}',c='red',ls='-')\n", + " mean_rfl = np.mean(rfl_ds.open_memmap(interleave='bip')[i[0]-miny:i[1]-miny,i[2]-minx:i[3]-minx,:],axis=(0,1))\n", + " plt.plot(wl, mean_rfl, label=f'Ret. {k}', c='black')\n", + " plt.legend()\n" + ] + }, + { + "cell_type": "markdown", + "id": "85419744-2391-48f0-b6c2-239390d4b994", + "metadata": {}, + "source": [ + "## Per-Pixel Retrievals\n", + "\n", + "This next section is an excercise in running ISOFIT in pixel mode (dynamically from python).\n", + "\n", + "To get started with executing ISOFIT for iterable improvements, ISOFIT is comprised of three primary pieces:\n", + "\n", + "1. The `ForwardModel` object\n", + "2. The `IO` object\n", + "2. The `Inverse` object\n", + "\n", + "There is also an `Isofit` object that holds each of the other three, and is commonly used for more generic runs (it is what is called by apply_oe)." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "f60f1ae9-754b-4c25-bc51-70b792debed7", + "metadata": {}, + "outputs": [], + "source": [ + "from isofit.core.isofit import Isofit\n", + "from isofit.core.fileio import IO\n", + "from isofit.core.forward import ForwardModel\n", + "from isofit.inversion.inverse import Inversion\n", + "from isofit.inversion.inverse_simple import invert_algebraic\n", + "from isofit.configs import configs\n", + "from isofit.core.geometry import Geometry\n", + "\n", + "import os\n", + "import logging\n", + "import numpy as np\n", + "from spectral.io import envi\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "\n", + "# Enable the ISOFIT logger\n", + "logging.getLogger().setLevel(logging.INFO)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "5efac6d4-c9f5-4292-a8e1-739939056ac1", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:2025-07-08,15:50:17 || configs.py:create_new_config() | Loading config file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/config/NIS01_20210403_173647_isofit.json\n", + "INFO:2025-07-08,15:50:17 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/data/wavelengths.txt\n", + "INFO:2025-07-08,15:50:17 || radiative_transfer_engine.py:__init__() | Prebuilt LUT provided\n", + "INFO:2025-07-08,15:50:17 || luts.py:load() | Loading LUT into memory\n", + "WARNING:2025-07-08,15:50:17 || luts.py:load() | thermal_upwelling is fully NaN, leaving as-is\n", + "WARNING:2025-07-08,15:50:17 || luts.py:load() | thermal_downwelling is fully NaN, leaving as-is\n", + "INFO:2025-07-08,15:50:17 || radiative_transfer_engine.py:__init__() | LUT grid loaded from file\n" + ] + } + ], + "source": [ + "# Now run actual retrievals\n", + "config = configs.create_new_config(os.path.join(output, f'NIS01_20210403_{neon_id}','config',f'NIS01_20210403_{neon_id}_isofit.json')) \n", + "config.forward_model.surface.surface_file = str(Path('~/.isofit/examples/20171108_Pasadena/configs/surface.mat').expanduser())\n", + "\n", + "#model = Isofit(os.path.join(output,f'NIS01_20210403_{neon_id}','config',f'NIS01_20210403_{neon_id}_isofit.json'))\n", + "config.input.measured_radiance_file = os.path.join(subset_dir, f'NIS01_20210403_{neon_id}_rdn_ort')\n", + "config.input.obs_file = os.path.join(subset_dir, f'NIS01_20210403_{neon_id}_obs_ort')\n", + "config.input.loc_file = os.path.join(subset_dir, f'NIS01_20210403_{neon_id}_loc_ort')\n", + "\n", + "fm = ForwardModel(config)\n", + "io = IO(config, fm)\n", + "inv = Inversion(config, fm)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "467786f7-35a6-4472-92c5-1fa753da9e3d", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:2025-07-08,15:50:30 || geometry.py:__init__() | Earth sun distance not provided. Proceeding without might cause some inaccuracies down the line\n" + ] + } + ], + "source": [ + "region = 'Veg'\n", + "offsets = {}\n", + "miny = np.min([np.min([i[0],i[1]]) for k,i in report[neon_id].items()])-5\n", + "maxy = np.max([np.max([i[0],i[1]]) for k,i in report[neon_id].items()])+5\n", + "minx = np.min([np.min([i[2],i[3]]) for k,i in report[neon_id].items()])-5\n", + "maxx = np.max([np.max([i[2],i[3]]) for k,i in report[neon_id].items()])+5\n", + "offsets[neon_id] = [minx,miny]\n", + "adj_roi = [roi[region][0] - offsets[neon_id][1], roi[region][1] - offsets[neon_id][1], roi[region][2] - offsets[neon_id][0], roi[region][3] - offsets[neon_id][0]]\n", + "\n", + "rdn = np.mean(envi.open(config.input.measured_radiance_file + '.hdr').open_memmap(interleave='bip')[adj_roi[0]:adj_roi[1],adj_roi[2]:adj_roi[3],:].copy(),axis=(0,1))\n", + "obs = np.mean(envi.open(config.input.obs_file + '.hdr').open_memmap(interleave='bip')[adj_roi[0]:adj_roi[1],adj_roi[2]:adj_roi[3],:].copy(),axis=(0,1))\n", + "loc = np.mean(envi.open(config.input.loc_file + '.hdr').open_memmap(interleave='bip')[adj_roi[0]:adj_roi[1],adj_roi[2]:adj_roi[3],:].copy(),axis=(0,1))\n", + "\n", + "geom = Geometry(obs=obs,loc=loc)\n", + "states = inv.invert(rdn, geom)\n", + "\n", + "x_surface, x_RT, x_instrument = fm.unpack(states[-1,:])\n", + "\n", + "x_alg, coeffs = invert_algebraic(fm.surface, fm.RT, fm.instrument, \n", + " x_surface, x_RT, x_instrument,\n", + " rdn, geom,\n", + " )\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "fdbd8001-530b-497f-a2c8-fdda0a2206d2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(13, 428)\n", + "[0.10742364 0.60519719]\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def closest_wl(mv):\n", + " return np.argmin(np.abs(io.meas_wl-mv))\n", + "\n", + "wl_nan = io.meas_wl.copy()\n", + "wl_nan[closest_wl(1360):closest_wl(1410)] = np.nan\n", + "wl_nan[closest_wl(1800):closest_wl(1970)] = np.nan\n", + "\n", + "fig = plt.figure(figsize=(14,5))\n", + "print(states.shape)\n", + "offset = 0\n", + "for n in range(0,states.shape[0],4):\n", + " lab = f'Step {n}'\n", + " if n == 0:\n", + " lab = 'Algebraic inversion at initial guess'\n", + " \n", + " plt.plot(wl_nan, states[n,:-2] + offset, label=lab)\n", + " offset += 0.04\n", + "plt.plot(wl_nan, states[-1,:-2] + offset, label=f'Step {states.shape[0]}')\n", + "plt.legend()\n", + "\n", + "print(states[-1,-2:])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0e8fcb0f-cd8e-47b9-9146-2e1335afcfd2", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/isofit-tutorials/build/doctrees/nbsphinx/sensor_examples/neon/neon.ipynb b/isofit-tutorials/build/doctrees/nbsphinx/sensor_examples/neon/neon.ipynb new file mode 100644 index 0000000..339460d --- /dev/null +++ b/isofit-tutorials/build/doctrees/nbsphinx/sensor_examples/neon/neon.ipynb @@ -0,0 +1,1608 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "35412b86-171d-473c-8575-470b8fbed89d", + "metadata": {}, + "source": [ + "# NEON\n", + "\n", + "Here, we show how one would apply ISOFIT to data collected by the NEON imaging spectrometer.\n" + ] + }, + { + "cell_type": "markdown", + "id": "f81e3c4a-0bef-4cbe-a494-75c8e0d908ca", + "metadata": {}, + "source": [ + "## Setup\n", + "\n", + "This is an excercise in executing ISOFIT on entire images collected on two dates from the NEON dataset.\n", + "\n", + "Prerequisites:\n", + "- Download sample data from https://avng.jpl.nasa.gov/pub/PBrodrick/isofit/tutorials/subset_data.zip. This dataset was prepped already from the data_prep notebook. Place the dataset into the NEON folder in this repo and unzip it, which will create the 'data' folder which includes the 'subsets' directory.\n", + "- Have a working installation of ISOFIT, with sRTMnet installed and configured (see environment variable specification on the next line)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ed8d9de0-a74a-4e6c-83b2-54f7bc32f593", + "metadata": {}, + "outputs": [], + "source": [ + "import logging\n", + "import os\n", + "from pathlib import Path\n", + "from types import SimpleNamespace\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import scipy\n", + "from spectral.io import envi\n", + "\n", + "import isofit\n", + "from isofit.utils.apply_oe import apply_oe \n", + "from isofit.utils.surface_model import surface_model\n", + "from isofit import ray\n", + "ray.shutdown()\n" + ] + }, + { + "cell_type": "markdown", + "id": "164060bf-3cad-4d58-811f-838158d7d967", + "metadata": {}, + "source": [ + "ISOFIT needs at minimum three pieces as input:\n", + "\n", + " 1. Radiance measurements (rdn)\n", + " 2. Observation values (obs)\n", + " 3. Location information (loc)\n", + "\n", + "This sample dataset from NEON has radiance and observation data, but no location values (more recent NEON datasets include the location file). However, we can 'fake' the location file with sufficient accuracy for ISOFIT to run successfully. Note that there are data available for two dates:\n", + "\n", + "```\n", + "Radiance\n", + "├── 173647\n", + "│ ├── NIS01_20210403_173647_obs_ort\n", + "│ ├── NIS01_20210403_173647_obs_ort.hdr\n", + "│ ├── NIS01_20210403_173647_rdn_ort\n", + "│ └── NIS01_20210403_173647_rdn_ort.hdr\n", + "└── 174150\n", + " ├── NIS01_20210403_174150_obs_ort\n", + " ├── NIS01_20210403_174150_obs_ort.hdr\n", + " ├── NIS01_20210403_174150_rdn_ort\n", + " └── NIS01_20210403_174150_rdn_ort.hdr\n", + "```\n", + "\n", + "These files have corresponding in situ data as well, and below we've encoded the locations of each, which we can use to help subset data files.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "7b88339c-ac36-4aab-98b7-2a1dd07ab8a5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data subset directory at: /Users/bgreenbe/.isofit/neon_subset\n", + "Surface model at: /Users/bgreenbe/.isofit/examples/20171108_Pasadena/configs/ang20171108t184227_surface.json\n", + "sRTMnet emulator path (required): /Users/bgreenbe/.isofit/srtmnet/sRTMnet_v120.h5\n", + "6s path (required): /Users/bgreenbe/Github/6sMultiComponentFN/Sixs\n" + ] + } + ], + "source": [ + "# Enable the ISOFIT logger\n", + "logging.getLogger().setLevel(logging.INFO)\n", + "\n", + "# Find where we're running the tutorial from\n", + "home = os.path.abspath(os.getcwd())\n", + "\n", + "# Path to the input NEON data\n", + "subset_dir = str(Path('~/.isofit/neon_subset').expanduser())\n", + "print(f'Data subset directory at: {subset_dir}')\n", + "\n", + "# Path to write isofit output\n", + "output = str(Path('~/.isofit/neon_subset/output').expanduser())\n", + "if os.path.isdir(output) is False:\n", + " os.mkdir(output)\n", + "\n", + "if os.path.isdir(subset_dir) is False:\n", + " os.mkdir(subset_dir)\n", + "\n", + "surface_model_path = str(Path('~/.isofit/examples/20171108_Pasadena/configs/ang20171108t184227_surface.json').expanduser())\n", + "print(f'Surface model at: {surface_model_path}')\n", + "neon_id = '173647'\n", + "\n", + "\n", + "# Optionally set some environment variables as needed\n", + "#os.environ['EMULATOR_PATH'] = '/Users/brodrick/isofit_support/sRTMnet_v120.h5'\n", + "#os.environ['SIXS_DIR'] = '/Users/brodrick/6s/'\n", + "\n", + "print(f'sRTMnet emulator path (required): {os.environ[\"EMULATOR_PATH\"]}')\n", + "print(f'6s path (required): {os.environ[\"SIXS_DIR\"]}')\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "727dcd06-2a38-4020-8a15-b6707b8ed453", + "metadata": {}, + "outputs": [], + "source": [ + "# Extract the image locations of each point of interest (POI)\n", + "# These are defined in the NEON report as pixel locations, so we round here to convert to indices\n", + "report = {}\n", + "report['173647'] = { # Upp L Y | Low R Y | Upp L X | Low R X\n", + " 'WhiteTarp': np.round([2224.9626, 2230.9771, 316.0078, 324.9385,]).astype(int),\n", + " 'BlackTarp': np.round([2224.9626, 2231.0032, 328.0086, 333.9731,]).astype(int),\n", + " 'Veg' : np.round([2245.0381, 2258.8103, 343.9006, 346.9423,]).astype(int),\n", + " 'RoadEW' : np.round([2214.9905, 2216.9978, 348.9902, 373.0080,]).astype(int),\n", + " 'RoadNS' : np.round([2205.9580, 2225.9612, 357.9536, 359.9608,]).astype(int)\n", + "}\n", + "report['174150'] = { # Upp L Y | Low R Y | Upp L X | Low R X\n", + " 'WhiteTarp': np.round([653.9626, 659.9771, 3143.0078, 3151.9385]).astype(int),\n", + " 'BlackTarp': np.round([653.9626, 660.0032, 3155.0086, 3160.9731]).astype(int),\n", + " 'Veg' : np.round([674.0381, 687.8103, 3170.9006, 3173.9423]).astype(int),\n", + " 'RoadEW' : np.round([643.9905, 645.9978, 3175.9902, 3200.0080]).astype(int),\n", + " 'RoadNS' : np.round([634.9580, 654.9612, 3184.9536, 3186.9608]).astype(int)\n", + "}\n", + "# Converts numpy array to comma-separated string for ISOFIT\n", + "toString = lambda array: ', '.join(str(v) for v in array)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a5656147-509e-41f4-9cac-c9b81117c5b2", + "metadata": {}, + "outputs": [], + "source": [ + "# Which NEON date to process - change this to process a different date\n", + "neon_id = list(report.keys())[0]\n", + "\n", + "# Select the locations from the neon id -- roi == Regions of Interest\n", + "roi = report[neon_id]" + ] + }, + { + "cell_type": "markdown", + "id": "e9ec9046-3c9d-47bf-914c-68e67424065f", + "metadata": {}, + "source": [ + "#### Loc file generation\n", + "\n", + "NEON doesn't distribute (?) a loc file, so let's fake one for now. We'll do this for the full file and for the subset." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f5b51ea6-f2ba-4348-9ec9-4a3eadd6c1c0", + "metadata": {}, + "outputs": [], + "source": [ + "def getMetadata(file, remove=['fwhm', 'band names', 'wavelength', 'wavelength units']):\n", + " \"\"\"\n", + " Retrieves the metadata from an envi header\n", + "\n", + " Parameters\n", + " ----------\n", + " rdn: str\n", + " Path to the RDN header file containing metadata\n", + " remove: list, default=['fwhm', 'band names', 'wavelength', 'wavelength units']\n", + " Removes keys from the metadata dictionary\n", + " \"\"\"\n", + " rdn_ds = envi.open(file)\n", + " metadata = rdn_ds.metadata.copy()\n", + " for key in remove:\n", + " if key in metadata:\n", + " del metadata[key]\n", + " else:\n", + " print(f'Key {key!r} not found in the metadata, skipping')\n", + "\n", + " return metadata\n", + "\n", + "def fakeLOC(rdn, lon, lat, elv, output=None, **kwargs):\n", + " \"\"\"\n", + " Creates a fake LOC file\n", + "\n", + " Parameters\n", + " ----------\n", + " rdn: str\n", + " Path to the RDN header file containing metadata\n", + " lon: float\n", + " Longitude value for location\n", + " lat: float\n", + " Latitude value for location\n", + " elv: float\n", + " Elevation in kilometers\n", + " output: str, default=None\n", + " Path to write the LOC file to. If None, will attempt to replace the\n", + " substring 'rdn' in the `rdn` path with `loc`\n", + " **kwargs\n", + " Additional arguments passed to getMetadata()\n", + " \"\"\"\n", + " if not output:\n", + " if 'rdn' in rdn:\n", + " output = rdn.replace('rdn', 'loc')\n", + " else:\n", + " Logger.error('No ouput file specified and cannot generate a unique name')\n", + " return False\n", + "\n", + " metadata = getMetadata(rdn, **kwargs)\n", + " metadata['bands'] = 3\n", + "\n", + " ds = envi.create_image(output, metadata, ext='', force=True)\n", + " loc = ds.open_memmap(interleave='bip', writable=True)\n", + "\n", + " loc[..., 0] = lon\n", + " loc[..., 1] = lat\n", + " loc[..., 2] = elv\n", + "\n", + " del ds, loc\n", + "\n", + "def fakeOBS(rdn, param0=0, sea=0, sez=0, soa=0, soz=0, phase=0, slope=0, aspect=0, cosi=0, param9=0, param10=0, output=None, **kwargs):\n", + " \"\"\"\n", + " Creates a fake OBS file\n", + "\n", + " Parameters\n", + " ----------\n", + " rdn: str\n", + " Path to the RDN file containing metadata\n", + " param0: int, float, default=0\n", + " Parameter 0\n", + " sea: int, float, default=0\n", + " Solar Azimuth\n", + " sez: int, float, default=0\n", + " Sensor Zenith\n", + " soa: int, float, default=0\n", + " Solar Azimuth\n", + " soz: int, float, default=0\n", + " Solar Zenith\n", + " phase: int, float, default=0\n", + " Phase\n", + " slope: int, float, default=0\n", + " Slope\n", + " aspect: int, float, default=0\n", + " Aspect\n", + " cosi: int, float, default=0\n", + " COS(i)\n", + " param9: int, float, default=0\n", + " Parameter 9\n", + " param10: int, float, default=0\n", + " Parameter 10\n", + " output: str, default=None\n", + " Path to write the OBS file to. If None, will attempt to replace the\n", + " substring 'rdn' in the `rdn` path with `obs`\n", + " **kwargs\n", + " Additional arguments passed to getMetadata()\n", + " \"\"\"\n", + " if not output:\n", + " if 'rdn' in rdn:\n", + " output = rdn.replace('rdn', 'loc')\n", + " else:\n", + " print('No ouput file specified and cannot generate a unique name')\n", + " return False\n", + "\n", + " rdn_ds = envi.open(rdn)\n", + " metadata = getMetadata(rdn, **kwargs)\n", + " metadata['bands'] = 11\n", + "\n", + " ds = envi.create_image(output, metadata, ext='', force=True)\n", + " obs = ds.open_memmap(interleave='bip', writable=True)\n", + "\n", + " obs[..., 0] = param0\n", + " obs[..., 1] = sea\n", + " obs[..., 2] = sez\n", + " obs[..., 3] = soa\n", + " obs[..., 4] = soz\n", + " obs[..., 5] = phase\n", + " obs[..., 6] = slope\n", + " obs[..., 7] = aspect\n", + " obs[..., 8] = cosi\n", + " obs[..., 9] = param9\n", + " obs[..., 10] = param10\n", + "\n", + " del ds, obs\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bac7ba6b-1c0e-41b7-97e0-d9e137a9e217", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Key 'band names' not found in the metadata, skipping\n" + ] + } + ], + "source": [ + "fakeLOC(\n", + " rdn = os.path.join(subset_dir, f'NIS01_20210403_{neon_id}_rdn_ort.hdr'),\n", + " lon = -105.237000,\n", + " lat = 40.125000,\n", + " elv = 1689.0\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "83bf8ace-3e19-4674-86df-d2f46e220a32", + "metadata": {}, + "source": [ + "## Apply OE\n", + "\n", + "The next part walks through running the ISOFIT utility script `isofit/utils/apply_oe.py`. This is the first step of executing ISOFIT and will generate a default configuration." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "d0ec94f8-b1e7-4e4d-9b8f-450134ca5a83", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "1 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "2 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "3 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "4 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "5 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "6 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "7 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n" + ] + } + ], + "source": [ + "output_surface_file = str(Path('~/.isofit/examples/20171108_Pasadena/configs/surface.mat').expanduser())\n", + "surface_model(**{\n", + " 'config_path': surface_model_path,\n", + " 'output_path': output_surface_file,\n", + " 'wavelength_path': os.path.join(subset_dir,f'NIS01_20210403_{neon_id}_rdn_ort.hdr')\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "3cbe6f39-6d6f-4182-abfb-30e95ce49ede", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Checking input data files...\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | ...Data file checks complete\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Setting up files and directories....\n", + "INFO:2025-07-08,15:20:08 || template_construction.py:__init__() | Flightline ID: NIS01_20210403_173647\n", + "INFO:2025-07-08,15:20:08 || template_construction.py:__init__() | no noise path found, proceeding without\n", + "INFO:2025-07-08,15:20:08 || template_construction.py:stage_files() | Staging /Users/bgreenbe/.isofit/examples/20171108_Pasadena/configs/surface.mat to /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/data/surface.mat\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | ...file/directory setup complete\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Using inversion windows: [[350.0, 1360.0], [1410, 1800.0], [1970.0, 2500.0]]\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | No wavelength file provided. Obtaining wavelength grid from ENVI header of radiance cube.\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Wavelength units of nm inferred...converting to microns\n", + "WARNING:2025-07-08,15:20:08 || template_construction.py:check_surface_model() | Center wavelengths provided in surface model file do not match wavelengths in radiance cube. Please consider rebuilding your surface model for optimal performance.\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Observation means:\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Path (km): 1.0036078691482544\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | To-sensor azimuth (deg): 153.4481201171875\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | To-sensor zenith (deg): 1.619314193725586\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | To-sun azimuth (deg): 145.23248291015625\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | To-sun zenith (deg): 39.8218994140625\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Relative to-sun azimuth (deg): 31.813383102416992\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Altitude (km): 2.692207098007202\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Segmenting...\n", + "2025-07-08 15:20:10,698\tINFO worker.py:1917 -- Started a local Ray instance.\n", + "\u001b[36m(segment_chunk pid=17119)\u001b[0m INFO:2025-07-08,15:20:11 ||| 0: starting\n", + "INFO:2025-07-08,15:20:11 || apply_oe.py:apply_oe() | Extracting /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/input/NIS01_20210403_173647_subs_rdn\n", + "2025-07-08 15:20:11,728\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "INFO:2025-07-08,15:20:11 || apply_oe.py:apply_oe() | Extracting /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/input/NIS01_20210403_173647_subs_obs\n", + "\u001b[36m(segment_chunk pid=17119)\u001b[0m INFO:2025-07-08,15:20:11 ||| 0: completing\n", + "2025-07-08 15:20:11,781\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "\u001b[36m(extract_chunk pid=17119)\u001b[0m INFO:2025-07-08,15:20:11 ||| 0: starting\n", + "INFO:2025-07-08,15:20:11 || apply_oe.py:apply_oe() | Extracting /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/input/NIS01_20210403_173647_subs_loc\n", + "2025-07-08 15:20:11,825\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "INFO:2025-07-08,15:20:11 || apply_oe.py:apply_oe() | Pre-solve H2O grid: [0.2 0.84 1.49 2.13 2.77 3.42 4.06 4.7 5.35 5.99]\n", + "INFO:2025-07-08,15:20:11 || apply_oe.py:apply_oe() | Writing H2O pre-solve configuration file.\n", + "INFO:2025-07-08,15:20:11 || ini.py:toTemplate() | Saved converted json to: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/config/NIS01_20210403_173647_h2o.json.tmpl\n", + "INFO:2025-07-08,15:20:11 || apply_oe.py:apply_oe() | Run ISOFIT initial guess\n", + "INFO:2025-07-08,15:20:11 || configs.py:create_new_config() | Loading config file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/config/NIS01_20210403_173647_h2o.json\n", + "INFO:2025-07-08,15:20:11 || configs.py:get_config_errors() | Checking config sections for configuration issues\n", + "INFO:2025-07-08,15:20:11 || configs.py:get_config_errors() | Configuration file checks complete, no errors found.\n", + "\u001b[36m(extract_chunk pid=17119)\u001b[0m INFO:2025-07-08,15:20:11 ||| 0: starting\n", + "2025-07-08 15:20:11,882\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "INFO:2025-07-08,15:20:11 || isofit.py:run() | Building first forward model, will generate any necessary LUTs\n", + "\u001b[36m(extract_chunk pid=17119)\u001b[0m INFO:2025-07-08,15:20:11 ||| 0: starting\n", + "INFO:2025-07-08,15:20:11 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/data/wavelengths.txt\n", + "INFO:2025-07-08,15:20:11 || radiative_transfer_engine.py:__init__() | No LUT store found, beginning initialization and simulations\n", + "INFO:2025-07-08,15:20:11 || radiative_transfer_engine.py:__init__() | Initializing LUT file\n", + "INFO:2025-07-08,15:20:11 || radiative_transfer_engine.py:runSimulations() | Running any pre-sim functions\n", + "INFO:2025-07-08,15:20:11 || sRTMnet.py:preSim() | Creating a simulator configuration\n", + "INFO:2025-07-08,15:20:11 || sRTMnet.py:preSim() | Building simulator and executing (6S)\n", + "INFO:2025-07-08,15:20:11 || radiative_transfer_engine.py:__init__() | No LUT store found, beginning initialization and simulations\n", + "INFO:2025-07-08,15:20:11 || radiative_transfer_engine.py:__init__() | Initializing LUT file\n", + "INFO:2025-07-08,15:20:12 || radiative_transfer_engine.py:runSimulations() | Running any pre-sim functions\n", + "INFO:2025-07-08,15:20:12 || radiative_transfer_engine.py:runSimulations() | Executing parallel simulations\n", + "\u001b[36m(streamSimulation pid=17119)\u001b[0m INFO:2025-07-08,15:20:12 ||| Loaded ini from: /Users/bgreenbe/.isofit/isofit.ini\n", + "INFO:2025-07-08,15:20:14 || common.py:__call__() | 20.00% simulations complete (elapsed: 0:00:02.100901, rate: 0:00:00.210090, eta: 0:00:18.908109)\n", + "INFO:2025-07-08,15:20:14 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:14 || common.py:__call__() | 30.00% simulations complete (elapsed: 0:00:02.151416, rate: 0:00:00.215142, eta: 0:00:08.605664)\n", + "INFO:2025-07-08,15:20:14 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:14 || common.py:__call__() | 40.00% simulations complete (elapsed: 0:00:02.198190, rate: 0:00:00.219819, eta: 0:00:05.129110)\n", + "INFO:2025-07-08,15:20:14 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:14 || common.py:__call__() | 50.00% simulations complete (elapsed: 0:00:02.768149, rate: 0:00:00.276815, eta: 0:00:04.152223)\n", + "INFO:2025-07-08,15:20:14 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:15 || common.py:__call__() | 60.00% simulations complete (elapsed: 0:00:03.296599, rate: 0:00:00.329660, eta: 0:00:03.296599)\n", + "INFO:2025-07-08,15:20:15 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:15 || common.py:__call__() | 70.00% simulations complete (elapsed: 0:00:03.347710, rate: 0:00:00.334771, eta: 0:00:02.231807)\n", + "INFO:2025-07-08,15:20:15 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:15 || common.py:__call__() | 80.00% simulations complete (elapsed: 0:00:03.396394, rate: 0:00:00.339639, eta: 0:00:01.455597)\n", + "INFO:2025-07-08,15:20:15 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:15 || common.py:__call__() | 90.00% simulations complete (elapsed: 0:00:03.946926, rate: 0:00:00.394693, eta: 0:00:00.986732)\n", + "INFO:2025-07-08,15:20:15 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:16 || common.py:__call__() | 100.00% simulations complete (elapsed: 0:00:04.459773, rate: 0:00:00.445977, eta: 0:00:00.495530)\n", + "INFO:2025-07-08,15:20:16 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:16 || radiative_transfer_engine.py:runSimulations() | Running any post-sim functions\n", + "INFO:2025-07-08,15:20:16 || radiative_transfer_engine.py:runSimulations() | Saving post-sim data to index zero of all dimensions except wl\n", + "INFO:2025-07-08,15:20:16 || luts.py:load() | Loading LUT into memory\n", + "WARNING:2025-07-08,15:20:16 || luts.py:load() | thermal_upwelling is fully NaN, leaving as-is\n", + "WARNING:2025-07-08,15:20:16 || luts.py:load() | thermal_downwelling is fully NaN, leaving as-is\n", + "INFO:2025-07-08,15:20:16 || sRTMnet.py:preSim() | Interpolating simulator quantities to emulator size\n", + "INFO:2025-07-08,15:20:16 || sRTMnet.py:preSim() | Loading and predicting with emulator\n", + "INFO:2025-07-08,15:20:17 || sRTMnet.py:preSim() | Saving intermediary prediction results to: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/lut_h2o/sRTMnet.predicts.nc\n", + "INFO:2025-07-08,15:20:17 || radiative_transfer_engine.py:runSimulations() | Saving pre-sim data to index zero of all dimensions except wl\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Executing parallel simulations\n", + "\u001b[36m(streamSimulation pid=17119)\u001b[0m INFO:2025-07-08,15:20:18 ||| Loading LUT into memory\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 20.00% simulations complete (elapsed: 0:00:00.133107, rate: 0:00:00.013311, eta: 0:00:01.197963)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 30.00% simulations complete (elapsed: 0:00:00.190843, rate: 0:00:00.019084, eta: 0:00:00.763372)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "\u001b[36m(streamSimulation pid=17119)\u001b[0m INFO:2025-07-08,15:20:18 ||| Loading LUT into memory\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 40.00% simulations complete (elapsed: 0:00:00.242991, rate: 0:00:00.024299, eta: 0:00:00.566979)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 50.00% simulations complete (elapsed: 0:00:00.291772, rate: 0:00:00.029177, eta: 0:00:00.437658)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 60.00% simulations complete (elapsed: 0:00:00.343262, rate: 0:00:00.034326, eta: 0:00:00.343262)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 70.00% simulations complete (elapsed: 0:00:00.392020, rate: 0:00:00.039202, eta: 0:00:00.261347)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 80.00% simulations complete (elapsed: 0:00:00.437945, rate: 0:00:00.043794, eta: 0:00:00.187691)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 90.00% simulations complete (elapsed: 0:00:00.481330, rate: 0:00:00.048133, eta: 0:00:00.120332)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 100.00% simulations complete (elapsed: 0:00:00.522997, rate: 0:00:00.052300, eta: 0:00:00.058111)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Running any post-sim functions\n", + "INFO:2025-07-08,15:20:18 || luts.py:load() | Loading LUT into memory\n", + "WARNING:2025-07-08,15:20:18 || luts.py:load() | thermal_upwelling is fully NaN, leaving as-is\n", + "WARNING:2025-07-08,15:20:18 || luts.py:load() | thermal_downwelling is fully NaN, leaving as-is\n", + "INFO:2025-07-08,15:20:18 || isofit.py:run() | Beginning 420 inversions in 40 chunks using 4 cores\n", + "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", + "I0000 00:00:1752013219.280426 2663633 chttp2_transport.cc:1182] ipv4:127.0.0.1:64327: Got goaway [2] err=UNAVAILABLE:GOAWAY received; Error code: 2; Debug Text: Cancelling all calls {grpc_status:14, http2_error:2, created_time:\"2025-07-08T15:20:19.280425-07:00\", file_line:1171, file:\"external/com_github_grpc_grpc/src/core/ext/transport/chttp2/transport/chttp2_transport.cc\"}\n", + "\u001b[36m(Worker pid=17157)\u001b[0m INFO:2025-07-08,15:20:20 ||| Worker 0 completed 1/~105.0:: 0.95% complete\n", + "\u001b[36m(Worker pid=17157)\u001b[0m INFO:2025-07-08,15:20:23 ||| Worker at start location (42,0) completed 10/11\n", + "\u001b[36m(Worker pid=17158)\u001b[0m INFO:2025-07-08,15:20:24 ||| Worker 3 completed 11/~105.0:: 10.48% complete\u001b[32m [repeated 7x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)\u001b[0m\n", + "\u001b[36m(Worker pid=17159)\u001b[0m INFO:2025-07-08,15:20:29 ||| Worker at start location (95,0) completed 9/10\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17158)\u001b[0m INFO:2025-07-08,15:20:31 ||| Worker 3 completed 33/~105.0:: 31.43% complete\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17157)\u001b[0m INFO:2025-07-08,15:20:36 ||| Worker at start location (192,0) completed 9/10\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17158)\u001b[0m INFO:2025-07-08,15:20:37 ||| Worker 3 completed 55/~105.0:: 52.38% complete\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17159)\u001b[0m INFO:2025-07-08,15:20:43 ||| Worker at start location (268,0) completed 10/11\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17158)\u001b[0m INFO:2025-07-08,15:20:44 ||| Worker 3 completed 77/~105.0:: 73.33% complete\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17158)\u001b[0m INFO:2025-07-08,15:20:47 ||| Worker at start location (343,0) completed 10/11\u001b[32m [repeated 7x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17158)\u001b[0m INFO:2025-07-08,15:20:48 ||| Worker 3 completed 88/~105.0:: 83.81% complete\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17160)\u001b[0m INFO:2025-07-08,15:20:53 ||| Worker at start location (397,0) completed 10/11\u001b[32m [repeated 5x across cluster]\u001b[0m\n", + "INFO:2025-07-08,15:20:53 || isofit.py:run() | Inversions complete. 34.78s total, 12.0769 spectra/s, 3.0192 spectra/s/core\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | Full (non-aerosol) LUTs:\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | Elevation: None\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | To-sensor zenith: [0.9608 2.9675]\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | To-sun zenith: None\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | Relative to-sun azimuth: [3.80000e-03 4.12002e+01 8.23965e+01]\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | H2O Vapor: [0.6025 0.6627]\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/output/NIS01_20210403_173647_subs_state\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | Writing main configuration file.\n", + "INFO:2025-07-08,15:20:53 || template_construction.py:load_climatology() | Loading Climatology\n", + "INFO:2025-07-08,15:20:53 || template_construction.py:load_climatology() | Climatology Loaded. Aerosol State Vector:\n", + "{'AOT550': {'bounds': [0.001, 1.0], 'scale': 1, 'init': 0.1009, 'prior_sigma': 10.0, 'prior_mean': 0.1009}}\n", + "Aerosol LUT Grid:\n", + "{'AOT550': [0.001, 0.1009, 0.2008, 0.3007, 0.4006, 0.5005, 0.6004, 0.7003, 0.8002, 0.9001, 1.0]}\n", + "Aerosol model path:/Users/bgreenbe/.isofit/data/aerosol_model.txt\n", + "INFO:2025-07-08,15:20:53 || ini.py:toTemplate() | Saved converted json to: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/config/NIS01_20210403_173647_isofit.json.tmpl\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | Running ISOFIT with full LUT\n", + "INFO:2025-07-08,15:20:53 || configs.py:create_new_config() | Loading config file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/config/NIS01_20210403_173647_isofit.json\n", + "INFO:2025-07-08,15:20:53 || configs.py:get_config_errors() | Checking config sections for configuration issues\n", + "INFO:2025-07-08,15:20:53 || configs.py:get_config_errors() | Configuration file checks complete, no errors found.\n", + "2025-07-08 15:20:53,541\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "INFO:2025-07-08,15:20:53 || isofit.py:run() | Building first forward model, will generate any necessary LUTs\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/data/wavelengths.txt\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:__init__() | No LUT store found, beginning initialization and simulations\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:__init__() | Initializing LUT file\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:runSimulations() | Running any pre-sim functions\n", + "INFO:2025-07-08,15:20:53 || sRTMnet.py:preSim() | Creating a simulator configuration\n", + "INFO:2025-07-08,15:20:53 || sRTMnet.py:preSim() | Building simulator and executing (6S)\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:__init__() | No LUT store found, beginning initialization and simulations\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:__init__() | Initializing LUT file\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:runSimulations() | Running any pre-sim functions\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:runSimulations() | Executing parallel simulations\n", + "INFO:2025-07-08,15:20:59 || common.py:__call__() | 10.61% simulations complete (elapsed: 0:00:06.067500, rate: 0:00:00.045966, eta: 0:00:54.607500)\n", + "INFO:2025-07-08,15:20:59 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:03 || common.py:__call__() | 20.45% simulations complete (elapsed: 0:00:10.271446, rate: 0:00:00.077814, eta: 0:00:41.085784)\n", + "INFO:2025-07-08,15:21:03 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:08 || common.py:__call__() | 30.30% simulations complete (elapsed: 0:00:14.459419, rate: 0:00:00.109541, eta: 0:00:33.738644)\n", + "INFO:2025-07-08,15:21:08 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:13 || common.py:__call__() | 40.15% simulations complete (elapsed: 0:00:19.976911, rate: 0:00:00.151340, eta: 0:00:29.965367)\n", + "INFO:2025-07-08,15:21:13 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:17 || common.py:__call__() | 50.00% simulations complete (elapsed: 0:00:24.268372, rate: 0:00:00.183851, eta: 0:00:24.268372)\n", + "INFO:2025-07-08,15:21:17 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:21 || common.py:__call__() | 60.61% simulations complete (elapsed: 0:00:28.106960, rate: 0:00:00.212932, eta: 0:00:18.737973)\n", + "INFO:2025-07-08,15:21:21 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:27 || common.py:__call__() | 70.45% simulations complete (elapsed: 0:00:33.346920, rate: 0:00:00.252628, eta: 0:00:14.291537)\n", + "INFO:2025-07-08,15:21:27 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:31 || common.py:__call__() | 80.30% simulations complete (elapsed: 0:00:37.560121, rate: 0:00:00.284546, eta: 0:00:09.390030)\n", + "INFO:2025-07-08,15:21:31 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:35 || common.py:__call__() | 90.15% simulations complete (elapsed: 0:00:42.008716, rate: 0:00:00.318248, eta: 0:00:04.667635)\n", + "INFO:2025-07-08,15:21:35 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:40 || common.py:__call__() | 100.00% simulations complete (elapsed: 0:00:46.415069, rate: 0:00:00.351629, eta: 0:00:00)\n", + "INFO:2025-07-08,15:21:40 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:40 || radiative_transfer_engine.py:runSimulations() | Running any post-sim functions\n", + "INFO:2025-07-08,15:21:40 || radiative_transfer_engine.py:runSimulations() | Saving post-sim data to index zero of all dimensions except wl\n", + "INFO:2025-07-08,15:21:40 || luts.py:load() | Loading LUT into memory\n", + "WARNING:2025-07-08,15:21:40 || luts.py:load() | thermal_upwelling is fully NaN, leaving as-is\n", + "WARNING:2025-07-08,15:21:40 || luts.py:load() | thermal_downwelling is fully NaN, leaving as-is\n", + "INFO:2025-07-08,15:21:40 || sRTMnet.py:preSim() | Interpolating simulator quantities to emulator size\n", + "INFO:2025-07-08,15:21:40 || sRTMnet.py:preSim() | Loading and predicting with emulator\n", + "INFO:2025-07-08,15:21:43 || sRTMnet.py:preSim() | Saving intermediary prediction results to: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/lut_full/sRTMnet.predicts.nc\n", + "INFO:2025-07-08,15:21:43 || radiative_transfer_engine.py:runSimulations() | Saving pre-sim data to index zero of all dimensions except wl\n", + "INFO:2025-07-08,15:21:43 || radiative_transfer_engine.py:runSimulations() | Executing parallel simulations\n", + "INFO:2025-07-08,15:21:43 || common.py:__call__() | 10.61% simulations complete (elapsed: 0:00:00.286329, rate: 0:00:00.002169, eta: 0:00:02.576961)\n", + "INFO:2025-07-08,15:21:43 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:44 || common.py:__call__() | 20.45% simulations complete (elapsed: 0:00:00.443106, rate: 0:00:00.003357, eta: 0:00:01.772424)\n", + "INFO:2025-07-08,15:21:44 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:44 || common.py:__call__() | 30.30% simulations complete (elapsed: 0:00:00.603308, rate: 0:00:00.004571, eta: 0:00:01.407719)\n", + "INFO:2025-07-08,15:21:44 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:44 || common.py:__call__() | 40.15% simulations complete (elapsed: 0:00:00.810682, rate: 0:00:00.006142, eta: 0:00:01.216023)\n", + "INFO:2025-07-08,15:21:44 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:44 || common.py:__call__() | 50.00% simulations complete (elapsed: 0:00:00.967955, rate: 0:00:00.007333, eta: 0:00:00.967955)\n", + "INFO:2025-07-08,15:21:44 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:44 || common.py:__call__() | 60.61% simulations complete (elapsed: 0:00:01.137875, rate: 0:00:00.008620, eta: 0:00:00.758583)\n", + "INFO:2025-07-08,15:21:44 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:45 || common.py:__call__() | 70.45% simulations complete (elapsed: 0:00:01.338172, rate: 0:00:00.010138, eta: 0:00:00.573502)\n", + "INFO:2025-07-08,15:21:45 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:45 || common.py:__call__() | 80.30% simulations complete (elapsed: 0:00:01.500123, rate: 0:00:00.011365, eta: 0:00:00.375031)\n", + "INFO:2025-07-08,15:21:45 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:45 || common.py:__call__() | 90.15% simulations complete (elapsed: 0:00:01.657305, rate: 0:00:00.012555, eta: 0:00:00.184145)\n", + "INFO:2025-07-08,15:21:45 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:45 || common.py:__call__() | 100.00% simulations complete (elapsed: 0:00:01.823216, rate: 0:00:00.013812, eta: 0:00:00)\n", + "INFO:2025-07-08,15:21:45 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:45 || radiative_transfer_engine.py:runSimulations() | Running any post-sim functions\n", + "INFO:2025-07-08,15:21:45 || luts.py:load() | Loading LUT into memory\n", + "WARNING:2025-07-08,15:21:45 || luts.py:load() | thermal_upwelling is fully NaN, leaving as-is\n", + "WARNING:2025-07-08,15:21:45 || luts.py:load() | thermal_downwelling is fully NaN, leaving as-is\n", + "INFO:2025-07-08,15:21:45 || isofit.py:run() | Beginning 420 inversions in 40 chunks using 4 cores\n", + "I0000 00:00:1752013306.660474 2663633 chttp2_transport.cc:1182] ipv4:127.0.0.1:64423: Got goaway [2] err=UNAVAILABLE:GOAWAY received; Error code: 2; Debug Text: Cancelling all calls {file:\"external/com_github_grpc_grpc/src/core/ext/transport/chttp2/transport/chttp2_transport.cc\", file_line:1171, created_time:\"2025-07-08T15:21:46.660474-07:00\", http2_error:2, grpc_status:14}\n", + "I0000 00:00:1752013306.660734 2663633 chttp2_transport.cc:1182] ipv4:127.0.0.1:64428: Got goaway [2] err=UNAVAILABLE:GOAWAY received; Error code: 2; Debug Text: Cancelling all calls {grpc_status:14, http2_error:2, created_time:\"2025-07-08T15:21:46.660733-07:00\", file_line:1171, file:\"external/com_github_grpc_grpc/src/core/ext/transport/chttp2/transport/chttp2_transport.cc\"}\n", + "\u001b[36m(Worker pid=17536)\u001b[0m ERROR:2025-07-08,15:21:47 ||| \n", + "\u001b[36m(Worker pid=17536)\u001b[0m Encountered the following ValueError in (row,col) (32,0).\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Results for this pixel will be all zeros.\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m Traceback (most recent call last):\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\n", + "\u001b[36m(Worker pid=17536)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\n", + "\u001b[36m(Worker pid=17536)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\n", + "\u001b[36m(Worker pid=17536)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\n", + "\u001b[36m(Worker pid=17536)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:21:47 ||| Worker 0 completed 1/~105.0:: 0.95% complete\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17159)\u001b[0m INFO:2025-07-08,15:20:53 ||| Worker at start location (408,0) completed 10/11\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m ERROR:2025-07-08,15:21:52 ||| \u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Encountered the following ValueError in (row,col) (27,0).\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:21:47 ||| Worker 1 completed 1/~105.0:: 0.95% complete\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:21:55 ||| Worker at start location (9,0) completed 9/10\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:21:58 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (55,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:21:57 ||| Worker 1 completed 12/~105.0:: 11.43% complete\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:21:56 ||| Worker at start location (31,0) completed 10/11\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:22:03 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (61,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:03 ||| Worker 3 completed 21/~105.0:: 20.0% complete\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:22:05 ||| Worker at start location (85,0) completed 10/11\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:22:08 ||| \u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (99,0).\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:22:06 ||| Worker 0 completed 23/~105.0:: 21.9% complete\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:11 ||| Worker at start location (95,0) completed 9/10\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:22:13 ||| \u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (105,0).\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:12 ||| Worker 3 completed 31/~105.0:: 29.52% complete\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:15 ||| Worker 2 completed 34/~105.0:: 32.38% complete\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:22:14 ||| Worker at start location (117,0) completed 10/11\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m ERROR:2025-07-08,15:22:18 ||| \u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Encountered the following ValueError in (row,col) (166,0).\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:22:15 ||| Worker 0 completed 34/~105.0:: 32.38% complete\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:20 ||| Worker at start location (139,0) completed 10/11\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:22:22 ||| Worker at start location (149,0) completed 9/10\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m ERROR:2025-07-08,15:22:23 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Encountered the following ValueError in (row,col) (193,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:24 ||| Worker 2 completed 45/~105.0:: 42.86% complete\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:23 ||| Worker at start location (160,0) completed 10/11\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:22:28 ||| \u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (210,0).\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:30 ||| Worker 3 completed 53/~105.0:: 50.48% complete\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:22:30 ||| Worker 1 completed 54/~105.0:: 51.43% complete\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:32 ||| Worker at start location (214,0) completed 10/11\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m ERROR:2025-07-08,15:22:33 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Encountered the following ValueError in (row,col) (230,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:32 ||| Worker 2 completed 56/~105.0:: 53.33% complete\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:22:37 ||| Worker at start location (235,0) completed 9/10\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:38 ||| Worker at start location (225,0) completed 10/11\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m ERROR:2025-07-08,15:22:39 ||| \u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Encountered the following ValueError in (row,col) (269,0).\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:39 ||| Worker 3 completed 64/~105.0:: 60.95% complete\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:41 ||| Worker at start location (257,0) completed 10/11\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m ERROR:2025-07-08,15:22:44 ||| \u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Encountered the following ValueError in (row,col) (275,0).\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:41 ||| Worker 2 completed 67/~105.0:: 63.81% complete\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:47 ||| Worker at start location (279,0) completed 10/11\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m ERROR:2025-07-08,15:22:49 ||| \u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Encountered the following ValueError in (row,col) (303,0).\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:22:49 ||| Worker 0 completed 77/~105.0:: 73.33% complete\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:50 ||| Worker at start location (300,0) completed 10/11\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m ERROR:2025-07-08,15:22:55 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Encountered the following ValueError in (row,col) (320,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:50 ||| Worker 2 completed 78/~105.0:: 74.29% complete\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:22:57 ||| Worker 1 completed 86/~105.0:: 81.9% complete\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:22:58 ||| Worker at start location (332,0) completed 9/10\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:23:00 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (376,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:23:00 ||| Worker 2 completed 89/~105.0:: 84.76% complete\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:59 ||| Worker at start location (343,0) completed 10/11\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:23:05 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (383,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:23:05 ||| Worker at start location (354,0) completed 10/11\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:23:06 ||| Worker 3 completed 97/~105.0:: 92.38% complete\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m ERROR:2025-07-08,15:23:10 ||| \u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Encountered the following ValueError in (row,col) (412,0).\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:23:08 ||| Worker at start location (386,0) completed 10/11\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:23:07 ||| Worker 0 completed 97/~105.0:: 92.38% complete\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "INFO:2025-07-08,15:23:16 || isofit.py:run() | Inversions complete. 91.06s total, 4.6123 spectra/s, 1.1531 spectra/s/core\n", + "INFO:2025-07-08,15:23:16 || apply_oe.py:apply_oe() | Analytical line inference\n", + "INFO:2025-07-08,15:23:16 || configs.py:create_new_config() | Loading config file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/config/NIS01_20210403_173647_isofit.json\n", + "INFO:2025-07-08,15:23:16 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/data/wavelengths.txt\n", + "INFO:2025-07-08,15:23:16 || radiative_transfer_engine.py:__init__() | Prebuilt LUT provided\n", + "INFO:2025-07-08,15:23:16 || luts.py:load() | Loading LUT into memory\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m ERROR:2025-07-08,15:23:16 ||| \u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Encountered the following ValueError in (row,col) (419,0).\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:23:16 ||| Worker at start location (419,0) completed 10/11\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "WARNING:2025-07-08,15:23:16 || luts.py:load() | thermal_upwelling is fully NaN, leaving as-is\n", + "WARNING:2025-07-08,15:23:16 || luts.py:load() | thermal_downwelling is fully NaN, leaving as-is\n", + "INFO:2025-07-08,15:23:16 || radiative_transfer_engine.py:__init__() | LUT grid loaded from file\n", + "2025-07-08 15:23:17,031\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "INFO:2025-07-08,15:23:17 || atm_interpolation.py:atm_interpolation() | Beginning atmospheric interpolation 4 cores\n", + "INFO:2025-07-08,15:23:18 || atm_interpolation.py:atm_interpolation() | Parallel atmospheric interpolations complete. 1.3430540561676025 s total, 3142.8370143526467 spectra/s, 785.7092535881617 spectra/s/core\n", + "2025-07-08 15:23:18,445\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:22 ||| Analytical line writing line 4\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:28 ||| Analytical line writing line 9\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:34 ||| Analytical line writing line 17\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:40 ||| Analytical line writing line 25\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:46 ||| Analytical line writing line 33\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:52 ||| Analytical line writing line 42\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:58 ||| Analytical line writing line 50\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:24:04 ||| Analytical line writing line 58\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "INFO:2025-07-08,15:24:10 || analytical_line.py:analytical_line() | Analytical line inversions complete. 51.63s total, 81.7487 spectra/s, 20.4372 spectra/s/core\n", + "INFO:2025-07-08,15:24:10 || apply_oe.py:apply_oe() | Done.\n", + "\u001b[36m(Worker pid=17657)\u001b[0m INFO:2025-07-08,15:24:07 ||| Analytical line writing line 60\u001b[32m [repeated 5x across cluster]\u001b[0m\n", + "I0000 00:00:1752013450.613965 2663318 chttp2_transport.cc:1182] ipv4:127.0.0.1:65123: Got goaway [2] err=UNAVAILABLE:GOAWAY received; Error code: 2; Debug Text: Cancelling all calls {grpc_status:14, http2_error:2, created_time:\"2025-07-08T15:24:10.613957-07:00\", file_line:1171, file:\"external/com_github_grpc_grpc/src/core/ext/transport/chttp2/transport/chttp2_transport.cc\"}\n" + ] + } + ], + "source": [ + "kwargs = {\n", + " 'input_radiance': os.path.join(subset_dir,f'NIS01_20210403_{neon_id}_rdn_ort'), # Radiance\n", + " 'input_loc': os.path.join(subset_dir,f'NIS01_20210403_{neon_id}_loc_ort'), # Location\n", + " 'input_obs': os.path.join(subset_dir,f'NIS01_20210403_{neon_id}_obs_ort'), # Observations\n", + " 'working_directory': os.path.join(output, f'NIS01_20210403_{neon_id}'), # Output directory\n", + " 'sensor': 'neon', \n", + " \"surface_path\": output_surface_file, # Surface priors - often changes\n", + " 'emulator_base': os.environ['EMULATOR_PATH'],\n", + " 'n_cores': 4,\n", + " \"wavelength_path\": None,\n", + " \"surface_category\": \"multicomponent_surface\",\n", + " \"rdn_factors_path\": None, # RCC update used 'on the fly'\n", + " \"channelized_uncertainty_path\": None, # Channelized uncertainty - if you have an instrument model\n", + " \"model_discrepancy_path\": None, # Model discrepancy term - handle things like unknown radiative transfer model effects\n", + " \"lut_config_file\": None,\n", + " \"logging_level\": \"INFO\",\n", + " \"log_file\": None,\n", + " \"presolve\": True, # Attempts to solve for the right wv range\n", + " \"analytical_line\": True, # mathematical representation of OE given that the atmsophere is known\n", + " \"ray_temp_dir\": \"/tmp/ray\",\n", + " \"segmentation_size\": 10,\n", + " \"num_neighbors\": [5],\n", + " \"atm_sigma\": [0.5],\n", + " \"pressure_elevation\": False,\n", + "}\n", + "\n", + "apply_oe(**kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "9d31291a-c036-4288-9114-cd772dda6748", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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VdRYVGVYt/+JkAHDgwAEL1oTI+rEFRwHFzH6liik1NdXgcm3Pi5OTE6pUqVL5BhlT8b7//ns0atQIgHSCQyIqHXZREZmXthsKAO7cuQMAWLBgAVq0aAEAqOHmBrRuDc3ZswAYcCjfM888g59//hkACp2pmYhKZijg3Lhxw5JVIqpQbuuMu9LO+n3ttdfkZTVyc4Fjx6Bt21PTGBwGHAtr1KgRatSogczMTPzzzz+Wrg6RVWELDpF5GQo4umrkn2NOr/OSLTgESOfvaNmyJYAHl54nIuMw4BCZl24XlTbg6F7c2tZGP0awi4r0aM8Sef78eQvXhMi6MOAQmVdJLTjn8+/X66JiwCGtBg0aAHhw6XkiMo7utagMBZz79+/j+PHjha5ZRWXEWVSVTsGAk5eXh+vXr8vLtNeI5BgcMkjbgsOAQ1Q2ui04d+7cQVZWFoQQ6N69O1q0aIHffvvNwjUksk66XVQZGRm4desWcnNzAQDe3t74um9fAGzBoSIw4BCVjW4XlZubm/zf5OHDh9GvXz/s2LEDALB7925LVZHIqhVswdG23lSvXh1Xr17Fk/kXtlVjwFHkTMZUPG0XVUpKCm7fvo3q1atbtkJEVkI34NjY2KBGjRq4efMmevbsqddVlZGRYakqElk13YCTmZmJq1evAgBq164tLcy/CLYaAw5bcFTAxcUFHh4eADjQmKg0dAMOAPj4+AB4MA7H29sbgHTNOzIBjsGpdHS7qAAgPj4eAORjFvIv36C3Z3AMDul6+OGHAQBn888GSUQlKxhwnnzySfm+evXqYf78+QAg/9dJRKVzu8AFVrX/hMstOAWwBYcKCQgIAMBz4RCVRsGA8/TTT8v3dezYUW7RYcAhKpuCnx1twJFbcLSfwfz7GXCokKZNmwIATp48aeGaEFmPgtO/O3XqJP/erFkzOeAkJiZyqnhZ8X2rtLKysuSA4+zsDAC4cOECAJ0WHAYcKgkDDlHZaVtwHBwc8OmnnyIkJASvvvqqfMbV+/fv8xpVZaWS8RSkPO0Vw52dneHn5wcAOHHiBIAH49u0eB4cKpI24MTFxfGim0RGKthFBQBvvvkm/vjjD9SsWRMODg5wd3cHwIHGZaZ7sOIg40rj4sWL+OGHHwAA9evXh4uLCwBpJhUgtZACYAsOlaxOnTqoVq0acnJyeD4cIiMZCjgFaf/T5DicMso/qRtVbDdv3sRnn32G77//HgDQtm1bTJ48GYAUcAoOKpYDTj4GHCqSRqORW3EOHTpk4doQWQdjAg4HGpcTA06Fd+/ePTRv3hxvvfUWBgwYgKtXryI5OVm+v379+ujYsaP8tyeA2n/+Kf1RoAVHd5mlMeCoSLdu3QAACxcutHBNiKyDMQFHewqGXbt2KVKnCicn58HvNjxkVETHjx+Xu3CFEPjll1/07q9fvz46d+4s/90EACZNMrgujsEhg0aMGAFHR0ccPHgQMTExlq4OkUXs3r0bjRo1KvQla4gxAWfQoEEAgB9++AEpKSmmqWRlkp394HdbW8vVg8zmn3/+0ft748aNen/XqFEDrVq1kv/OBh6EXY7BIWN4enqiX79+AIClS5dauDZEyrt//z4ef/xxxMXF4aOPPjLJOoOCgtCmTRtkZWXhu+++w40bNzBu3DicOXPGJOuv8LKyHvyukgMXmZY24Gingu/cuVPv/tDQUNja2iI0NBQA8CpQqDWPAYdKNHToUADAunXrcOfOHQvXhkhZ3377rfx7vXr1SixvTAuORqNB//79AQBbt27FoEGD8Pnnn6N3797lq2xloduCo3DXQ2pqqnxxRzIfbcAZPnw4AMgzedu2bYt///1XviD0Tz/9hK0ABgFswaHS69ChAxo0aICMjAwsWbLE0tUhUtSxY8fk36tVq1ZieWMCDgB06dIFALBnzx5ER0cDAE6fPs2T/xlDtwVHwQHHubm5CA4ORqNGjfQunEqmtW/fPuzevRsA8OKLL6Jq1aryfS1bttSbLVW9enV0RX6YSU+XgoyhgMMxOGSIRqNBVFQUAODtt9/Gv//+a+EaESlH90BmTPgwNuA0b94cXl5e8jk8tOLi4spQy4ohISEBX3zxBS5fvozZs2cXHSIs1ILz22+/4dSpU7h9+zaOHDmi2PNWJkeOHEFISAgAwNbWFo888ggCAwPl+wuezE/PhQtA/rEKYAsOGSkyMhLdunVDVlYW3n77bUtXh8ishBDIyZ+pY66Ao9Fo9C7EqTVw4ED5bK2VzRNPPIExY8bA19cXr7/+etHfNRZqwdEdh8iLEJvH7Nmz5d8//fRTODk5oW3btvIyn/wzgRdp7lz5V04TJ6PY2Njg888/h62tLbZs2YK//vrL0lUiMptZs2bBwcEB+/fvN1vAAYDJkycjIiICL7/8Mvr27QsA+OuvvxAWFlZhZlfl5uaiZ8+eGDZsWIllC55QdP/+/YYLWqAFJz09HZs3b5b/5oBw07t8+TLWrVsHADh8+LDcc6AbcLyPHy95RQU+p2zBoRI9/PDD8sDIr776ysK1ITKfN998E0IIjBo1Su96UaYOOE2aNMGaNWuwbNkyzJgxA8HBwQCA+Ph4BAYG4rfffivjK1CPkydPYvPmzVi2bFmxrR6GuqN0uyb0WCDg7Nq1S27VA6TxUmQa//33H55//nn4+voiJycHYWFhetu+Xbt28u8+f/wBrFmjvw8UxDE4VBYDBgwAAERHRyNPJTsMkSll6XR/5OXllboFp6z8/Pywf/9+nDhxAnXr1kVCQgL69Olj9V0hV65ckX//6aefiiz3999/F1pWt25dw4Ut0EWlDZvac6+wBad8cnJysH79eqxbtw5PPfUU1q9fL9/30bvvAlOnAgcPAjk5qHP7NtoAqAmg0b//Av366XVFFYVjcKhUOnXqhGrVqiExMRGxsbGWrg6RyR3XaQJPS0vDrVu35L9N3YJjSNOmTXHmzBmEhYXhzp07GDFihFGPU8sFcXNzc7F48WJ5mq/ueCJtwMnNzUVugWCiO1tNq8j32wItONqAM3bsWADS67p792651imEwJo1a7Bjx45y18/avPnmm3j++ecREREhXw0ckE5L0uHgQWDKFKBdO8DeHnjkEcQAiAfgoi24ZUvRK8//zMoBx8YG0DkpoCUx4KiYo6MjwsPDAcCos7oSqd3hw4excuVKueXm8OHD8n0XL17UO8gqEXAAoEqVKli+fDkA4Pfff8f58+fRv39/tGrVCq1bt8Zzzz2HP/74A5988glee+01hIeHw8fHB9u2bcOf2uvxGOHatWsmP7fVzJkzMWLECDz99NMApHEVWjExMTh37hxCQ0Ph6+uLEydOyOP5DJ0pvchWYt0WHAUCTlZWFi5cuAAAeOaZZ+Dh4QFAupRNwZBz9OhR9OnTB6dOncK5c+eKbel+++230a9fPzz99NNISEhARkYGZs6ciVdffVWvJdFUfvjhBwwePBgfffQRsovr4jE1IZCzezdOxsZCCIF9+/Zhbn4LTPXq1fHyyy/L79WSJUuAAmcxBgAHAK66C7QX2jT0mcw/T5EccDQawNfXVK+mfEQllJqaKgCI1NRUS1elRMuXLxcARFBQkKWrQlRuTZo0EQBEzZo1xd9//y2eeuopAalVu9CtX79+Ja5v69atAoBo1apVuevWqlUrAUDUrl27yDoZui1durTEdZ85c0ZUqVJFhIWFlbueWrm5uaJatWpyPe7cuSMGDx6sVzcPD49C9X399dfl37/++mv59wkTJhh+om+/1Z7tRIioKJPVvyh3796V65SWliZ+/PFH4eTkJACI3bt365UNDw/Xe20BAQFi4sSJ4uzZsyIvL08sX75c/Pvvv+LMmTPFbsNPPvlEb71btmwRgwYNEqdPn9ZbfubMGZGRkWGwzq+++qrw9/cXLVu2FGFhYXrr79u3r8jJyTH9m2VA8qJFokP+84aGhoq+ffsKAGLAgAGGH/DSSw+2b1G3oUOlsllZhe8bMEAIQFzNf04bGxuzvr7SHL8ZcFQuKSlJ/pBcvXrV0tUhKhdDBxeNRiPs7e0LLX/hhRdKXN+vv/4qAIjWrVuXu26TJk2Sn7tatWpi5syZYvXq1aJnz57C1dVVPsgWvPn7+4tvv/1WNGnSROzbt8/guqOiouTyJ06cEEIIcf36dZGamiquXLkizpw5U+r6/vDDD3r12Ldvn+jcubMAUGxw1N4iIyP16vbWW28ZfqKlSx8czMaNK3U9SysjI0OuozZMtG3bVgAQP/30k17Z4OBgg6+tW7duYuPGjfLfK1euLPa9qFatmrh27ZrIysoSS5cuFRqNRg67r732mvjyyy/F7NmzBQDh5OQkWrRoIRo2bCiefvppMWXKFNGmTRuD63300UeFra2tACCGDx9e7pBz/vx5ER8fX2j53bt3xV9//SXi4+PFgFq1DNZl3bp1hlf66qslBxwPDyG+/FKItLTC9/XqJQQgEhlw1MGaAo4QQjz22GMCgFiyZImlq0JUZnl5ecLOzk4AEJ6engKAqFWrlvj555/FiBEjCn0hR0RElLjO6OhoAUC0adOm3PU7ePCgACAcHR0LtRRoZWRkiIsXL4rjx4+LqVOnCgcHB706P//88+LkyZNi2LBhIjo6Wn7dDz/8sFzmrbfeEs8884wAIKpXry6qVq0qbG1t5QNQdna2uHXrlvj111/FM888I8aMGSPGjx+vF4JOnDghHnroIb3nHjBggHBxcREAxK+//ip8fX2FRqMRISEhhd7bTp06yeFB26Lz5ptvGn5jFi58cDAbM6bc73NJ0tPT5XreuXNHCPGgpWblypV6ZZ944gm5bPv27YW/v78AIKpWraoXKiMjI4W2JUW7DwIQPj4+onnz5iWGQWNuzs7OYsWKFWLVqlXigw8+EBs3bhR5eXli3bp1wsbGRgAQjRo1EpGRkSIpKanU70tKSopwcXERTk5OYvPmzWLevHkicvhwET1qlKjj41OoPmMK/J2QkGB4xWFhJQec4m6dO+sFHI1GU+rXVhqqCzgLFiwQ9evXF46OjqJNmzbijz/+KLb87t27RZs2bYSjo6Pw8/MTixYtKrLs6tWrBQDRq1cvo+tjbQHno48+EgBEgwYNRFpamqWrQ1Qm9+7dk79sr127Ji5cuCD/R7tq1apCX9B9+/YtcZ1btmwRAERgYKBJ6rhu3Tpx6NAho8uvWLFC74CpbQ3Q/j516lTx7rvvGnWA1Gg0IigoSNSoUcPg/VWqVBF9+vQRPXv2lJc1aNBAr+VJezt//ry4ffu2uHbtmhBCiPHjx4uOHTuKXbt2idmzZ8vBQQgh3njjDQFAvPHGG4Zf5Ny5Dw5mo0aV6/01Rlpamvw67t69K4QQcjfLvHnz9MpqW04+/vhjkZubK3Jzc4W7u7sAoNe6o90m3333ndi9e7fYs2ePuH//vsjOzja474WHh4v09HSxcvly8eaTT4rqVaoIAKJ58+bip59+Eo8++qgY8L//iQkTJohXXnlFfPDBB+LUqVNFvqY1a9aI6tWr6223jRs3itzcXKPfl7lz5xodtjwAkV5gWV6B90720EPlCzghIUIAIknnucxJVQFnzZo1wt7eXixZskScPHlSjB07Vjg7O4tLly4ZLH/hwgVRtWpVMXbsWHHy5EmxZMkSYW9vL3788cdCZS9evCgeeughERISUqEDzq1bt4Svr68AIKIU6AMnMoeUlBT5C/D+/ft69126dKnQl/T//ve/Etdp6oBTFgkJCWLRokUlHnTGjRsnGjduLP/drVs3g6Go4O2VV14RTZs2LbS8R48e4tSpU2Lbtm2F7rt3757R9X/zzTcFII3NMeiTTx4czEaMMNG7VjTt9zMAkZmZKYQQYvjw4XJg1OXn5ycAiP3798vL/ve//xX5Xp49e7bQ82VlZQmv/LFKPlWriv85Ooor774rRF6eEJ9/LgQg4gDxeuvWUivahQtC9OkjvR8zZxr9uq5fvy6WP/+88NWpT+fOnQt3Od29K8TNm0IsWiREfkDNy8sTzZo1K/J1dQXEKZ2/u+dvL9v8lqMa2u335Zf6z5WbK0StWuULOO3bCwGIa5Ux4Dz22GNyX69WkyZNxNtvv22w/FtvvSWaNGmit+zVV18V7dq101uWk5MjOnToIJYuXSoGDx5coQOOEEL89NNPAoB46KGHRF5enqWrQ1Rq8fHxApDGMBhS8Ev7+eefL3Gdv/zyiwDUMQi/atWqct1PnTolhg4dKr/eVatWCSGk9+Dhhx8W4eHhIicnR4wePVoMGTJE3L9/X/zxxx/i888/F9u3bxetW7cWAMT3338vhBDi/v37Yvv27WLEiBGiatWq4p133pG/B3Jzc8WMGTPEe++9J2xsbETLli1LVe8JEyYU/8/Txx8/OJi9+mqZ3x9j3b59u1BQ07YyFQxh2taukydPysuKCpvVq1cXuadOCbFtmzSWJDVViO++E+Ltt8UhQHwJiBzdA/cHHwjh5GSwO0a+ubgIoQ2T69dLY1X69BFi0iTpOQrKDwIT3Nzk/aWas7PYtWuXdP+JE+JulSpiJiBiAXEPEHm1a4tt+WOrqmg04gud1+QPiEGAuJVfnxGA0ABiT/7fewHR2M1N7NSt86BBQmiHO+QHuHLd2rYVAhDJOvUy5zFKNQEnKytL2Nraig0bNugtHzNmjOjUqZPBx4SEhIgxBfp5N2zYIOzs7ER2dra87L333hO9e/cWQogSA869e/dEamqqfLt8+bLVBZzMzEzh7OwsAIgjR45YujpEpXLy5El5RmDt2rUNlqlZs6beAalPnz4lrnfz5s0CkAZzWpp2Fpb2P9jMzEwxf/588ffff5d6Xenp6eLgwYMG7yvu4BEfHy9SUlJK9Vxvv/220LYwGTR16oOD2bBhpVp3Wdy6dUt+H7OysoQQQnz44YcCgBimff7cXJH77bfyYODEv/4S4t9/hRBCnDl50mDAeaNVq/IfzIu6nT8vhLu7/rKWLaXlWrm5evfH7dolz3byc3YWmX/+Ke6OHSt669TZFRDNAOGU//dYQGQCwjf/vsQC9cgBxHVj6mtrK0RMjGlee2CgEPnPq613abreSqs0Aces58FJSUlBbm4uPD099ZZ7enoiKSnJ4GOSkpIMls/JyZGvF/Pnn39i2bJl0hx+I0yfPh1ubm7yrcgzdqqYk5MTunTpAgDYtGmThWtDZLyMjAw0bdoUL7/8MgCgWrVqBsvFxMRgxIgR8kUfhRAlrltbpjznwTGVJUuWoF27dvK5cZycnDBq1Ci0aNGi1OuqVq0aHnvsMYP3Ffda69evj1q1apXqubTrK/L91j1JoALnwdE9l422btWrVwcA3L59W7rjyy+RNnCgXOfqjz0GNG8O9OmDh7/4Ag8ZWO+7Bk5uWIinJ3DlCqC7zR5/HNC5KCX69QOeegrIP9M8AKBBA6Dg9cz+/lta3q4d8PnnQHy83t0NO3fGVgAPAYi/cwctQkPhu2ABftIpkwbgBIB7ABwBvAXACcDh/OUFL4VpC8AdAGxsgPz3TNap04Pfc3OB/EuVyAydnM+Yiz3nX1JDd6805rOrBEVO9FfwAymEKPZDaqi8dnl6ejoGDBiAJUuWwN3d3ajnnzhxIlJTU+Wb7smwrEmPHj0AANu2bbNwTYiM98MPP+j97eLiYrBco0aNsHDhQtSvXx9AMSee06GmgBMUFISYmBi0b9/e0lUpFbUFHN162NhIhyg3NzcAQGpqqnTHjh24nV/GKf8GANiwAZpFi9A5/08PAFsAxEHnxHW619z67jvpMgRnzgB//gkcOQL4+ACxscC9e9LyX34Bxo8Hzp8Hbt8Gvv8e+PVX4NtvAWOuE3jwIDBuHNCwYaG7qgFYkP97XE4OUnJy4Augo06ZpwD8D8BWAD75y2oDqOPjA3zxBfDee4Wf095e/3UCwDPPFF/Pn38uvKxAY4NB+fuH5T+BhZk14Li7u8PW1rZQa01ycnKhVhotLy8vg+Xt7OxQq1YtnD9/HhcvXsQzzzwDOzs72NnZ4ZtvvsGmTZtgZ2eH8+fPF1qno6MjXF1d9W7WKCwsDIB09tfMzEzLVobICLm5uYVaWotqwdEq8YCrQ00Bx1qV+H7rXPRSiWtR6dZDM24ckJMDt/x/6lIvX5ZaIjZswK38MjUMrOOJ/ONLIwDdAcjRIiAA+OMPYN06Kay8+CIwdizQqBHQvj3wUH7bj40N4OgoLa9aVVrm7w/kBy3Z8OHApk1Sa0mzZsBvvwEfflj8C3zqKelx+XoB+ByAPYBBAOJ8fLDjzBlMDgjANgC/AljXqxfCNBrAz0+6dMbx48CBA8BrrwHvvy8FsvzLWgAA7t8HWrZ88Pfjj0vP6+BguE5dukhnH9YGSACoUkX/LNZF0d0/8qmlBcfOnCt3cHBAYGAgtm/fjmeffVZevn37dvTq1cvgY4KDg7F582a9Zdu2bUNQUBDs7e3RpEkTvevXAMA777yD9PR0fP7551bZ/WQsf39/eHt7IzExEX/99RdCQ0MtXSWiImVmZuK5554rdFmAolpwtMoScKjsVNeCo3NZA838+cD8+aie//ft06eB/CuL385fVqNKFal14qOPgMWLgV9+Qf8vv8TVmBjpUjfu7lKomTkTmDdPCiz/+5/pKvzMM/L1mAAA4eFSOPrqKykwPP44kJQk1QEAhgyRQtrWrcDly0C1ahgzaxaG16iBKgsWAFFRQKNG+Cg2FkhIAB5+WHrcv/8CXl5S60zz5g+eT6ORupdmzZJaiw4cAObPB2roRL+VK4G6dYG4OODll4GdOx/c5+cn1QUAXF2B9euBUaOA1asBYy4touIuKrMGHACIiorCwIEDERQUhODgYHz11VdISEhAZGQkAKn76MqVK/jmm28AAJGRkZg/fz6ioqIwfPhwxMTEYNmyZVi9ejUAqV+7ue7GxYP+2YLLKxqNRoOQkBCsW7cOy5cvR6dOnfifK6lSbm4uXnjhBWzduhVVq1bVu4aQKVtwCj6GSk81AUcI4OpVCJ2uEu1W1bab6LQvyC041Vu3Btaulf6YNQuYNQt2ACbmt3gDAAYOlG5KefNN6abrv/+kgBEWJoWSkycBW1uppQRAFUA/eDk6Pgg3gH6oMcTWFoiJkbaRjQ2QliaFl0aNpHADSK00rVrpBxwfH6m81nPPAc8+K9XRmM+gigOO2cfgREREYO7cuZg6dSpatWqFP/74A9HR0ahXrx4AIDExUe8KuH5+foiOjsbu3bvRqlUrfPjhh5g3bx769Olj7qpahZCQEADAN998gw4dOljteCKqmPLy8jB//nwEBARg06ZNcHJyQnR0NIYMGSKXYReViQkhtRTk5kq3e/dK9XDtOBejAo45u6imTwfq1IEYNerBsjZtAI0Gbu+/D8BwwKmh21KhZnXqSK052n21WjU53JiUNqy4ugIXLjxondEq2E1laMKPto7GfK5UHHDM3oIDACNHjsTIkSMN3rdixYpCy0JDQ3H06FGj129oHRXVCy+8gJ9//hm7d+9GTEwMevXqhSNHjlTuL3iymBs3biAlJQX+/v6wt7fHu+++i2nTpsn3L1iwAKGhoXoz/8zRRVVh9v9796QuCCGk8Q9XrwLXrgHnzkkDXmvUkGb5xMdL3Qf37kn36449tLGR/ts/flz6j93JSXpstWpARgbQq5fU3XH+PGBvD03+bK0iB3Ur1YLzyScApHnGQP423bcPuHULblWqAO+/j3sAsiDNKLqdX85qAo5a9OkjhUkt3dlVZVHZAw6Zjru7O7Zv344LFy6gRYsWiI2NxR9//MHxOGQWx44dw8aNG/HYY4+ha9eu+Pzzz7FgwQI8++yzuHPnDpYsWYK8vDx4eHigd+/e+Cp/VknNmjXxyiuv4KWXXgIAvanLRrfgZGYCERHSVNXWrQ2WVX3AyckB7t4FEhOBmzel/6ivXpW6KtLSpNBx7Zp0X0oKcPZs+Z8zLw/45x/p90uXHizPyJB+6s6WuX8fmvxp7eKff6RgpQ1Phw4Be/cCuv9Amjrg3L4ttTT884/0fgDQPoONjY3UwlGlClx1Qlbqs8/CY+NG3HJzA1JT5SEKZKTAQCn85uQAGzYU7kor6P33pVtR7t8HwIBDJuTv74+BAwdi8eLFCAsLw4wZMzBhwgRLV4vMZPfu3bhz5w6efvppk60zLS0No0ePRrVq1TB37lzY29vL9yUmJmLz5s146623HkzN1TFb57wgtra2SE5OlsPN8OHD5d+1atasKf9udAvOyZNS8/m6dUWOBbBIwMnLk1o1rlwBNm+WxlZcuiQ1/WdmSmHm0iWpBebuXeMGapYkIECaxSMEUKsWcOMG0LixNI3XxQVo21bqprp+XZrR888/wMWL0sGnaVMgPV1qtbl/Xwo6CQlSqw4eHJjE/v36YzEMMWUX1e7d0oDcgQOB5cvlxXotOPlsbW3h4uKC9PR0pI4aBQ9PT9y6fh1Yv54tOGWhHc9j6Nw3BU2ZIs0wCw83fH/+oHA1/ovBgGPFRo8ejaVLlyInJwdvv/02evTogWbNmlm6WmRiV65cQXh4OO7fvw9PT0906tQJkyZNQqv8L6eUlBTs27cPvXr1MvpAv337drz++uvyjMSEhAS0b98eN2/exKlTp7B161bk6hzMqlevjtu3b8PV1RWd8pu07969i1dffRXPPvssXnjhBWzYsAFVq1bFRx99VOj5StOCI48Jyf+PvjhmCThZWVL3zdmz0i0uTpolExcnBZe7d+X/Wkuldm0pbFSvLgWVJk2kgaS1akljHdzdpcGgjo6AnZ3UotGypdTFVNqxGl27llwmOxu4cQOasDDg7FkY9T93WVtwhJDeN2dn6e/MTGk8CqAXbgBA5Ae4gtvUzc0N6enpuO3qCixahNv9+wMAW3CUoPPPTyE6s9602IJD5da0aVP8+++/6NmzJ86ePYvJkydj9erVqGKOgWtkMkII7NixA3v37sXgwYMBAO+//z6eeeYZ9O3bF4B07qfTp0/j4sWLWLBgAe7nH1CvXbuGH374AT/88AP8/f3h7u6OxMREXL58GQsXLsSIESP0nis+Ph716tWDjY0Nrl+/jgEDBiAmJgbp6el65X755Rf88ssvestat26NRx99FNOmTYOtrS2OHz+ONm3awFl7kNKxcuVK1K9fH507d4aHh0eh+8vSgqN3KE1JkQJAASb5Is3LA/bvB7ZtA3bskKbaGnMgt7WVTt7WqpUURGxtpTDi4SFNRc7Lkw7o7dtLgcXRsfx1NSUHB8DbG5pBg4B33jFvwBk5UprCfeKEFPJef91wuc2bIVq2BHx9CwWc6tWr47///pNbFG/lT81mC44Cigs4+efKYRcVmVzjxo2xevVqBAYG4ueff0abNm2wb9++Up+uncxv7dq1WL58OQ4fPoybN28CAD788EM4OTnh3r17WLVqFSIiIuDh4YHr168X+pJ4+umn8fDDD+Ps2bP49ddfceHCBVy4cEG+f8qUKXj11VflFpDZs2fj9ddfR5cuXbB582ZMmzZN7yzYgwcPxowZM3DhwgXMmjULaWlpaNKkCapXr47+/fujSZMmes+vncFnSLVq1TBr1qwi7y/TGBzdVpJz5wwGnIKPKVZurtR99NBDUovJvn3SmWw3bZLGxehydZWm1zZqJJWvVUtqeQkOlgb6OjlJP+2s/ytUfr8jIqRztSQmFl3YUBeV9jIEc+YUPetm8WLp50cfSSenW7RI//7HHgO2bAHc3SHyZ9UW3Kba/eZOfpcfA46CSuq6BAMOmUmbNm2wdu1ajB07FqdPn4a7uztCQ0OxYcMGvf+ck5OTcfDgQXTt2hUORZ3RkkwqLy8P//33H+bOnYs5c+YYLHOvwLTe5ORkAECDBg3g6+uL06dPw9/fHz/99BPs8g+o//33H3799Ve88sor8uOuX7+OHTt2IDw8HMePH8cbb7wBQOqO8vDwQJpOl8/o0aMxd+5c2NjYwMvLy3SXF9CGkvv3pYGMO3YAjzyCmjpn3q62YYN0vo7sbOk8He7uUndMq1ZA+/YPDri6Z0jV1j0vT7rlvw8ldlFlZ0tjUWbMAKKjpQG9DRtKXSa6M49cXYEePaTrBvXuLU3pVevAZROT329nZynohYUBe/YYLmyoBWfcOOln//7Ao48W/2Q3bgAdOjz4OzpaOrHcG2/IAbaobVo1/4zC2nMqaa9LxS4qBei2+CYkSJ+fkBDp93wMOGQ2ffv2RdOmTREcHIyMjAzs2bMHPXv2xPfffw9fX1/s2rUL/fr1Q3JyMh5++GH8+uuvaNCggaWrXeENHDgQ33//vfy3k5MT6tSpg2nTpiE8PBzLly9HnTp10KNHD1y7dg2ZmZm4du0afH194e/vX+R669Spg+HDh+Phhx/Gzz//jJSUFKxatQobN25EeHg4vv76awgh4OTkBI1GI4ebxx9/HDt37izfmJUrV6RTw584IX3xXbokhYGLF6WZNwbOw6LbnqhZs6bodfv6QpN/ElC9L8mrV6Uzq371lfS8e/cCjRvrHwzj4qSBq8ePS/U5cUK6vlDB+pw79+D3Dh2kM8sOHKi+LiSFFDoPzk8/SdvS0My14rqojBgzhYLX0evWTbrpPUWeXr20CgYctuAoSPfyRtqTBnbrBnz5pbyYAYfMqnnz5jhx4gR+/fVXvPHGG/jzzz/RvHlzREREYPny5fIXR1xcHEaMGIH169djy5Yt6NGjh9z8e/36ddSoUQO5ubl45513EBQUhIiICEu+LIvJyMjAypUrce7cOQwbNqzUA7j/+usvOdy4uLhg8eLFePHFF/XKjB8/Xv5de5HJgIAAo58jLCwMYWFh2LJlC1atWoWtW7dCCIH9+/cDkK5w3bhxY0RFRaFt27Z49913jQs32oG2R49K/6UdOybNaDpxQprSbAw3N2m8xX//SQen/Fk72Z06AfXrS4Hi5k1pdk9GhtS6kpAAzZQpAKA/JiR/urnsxx+ByZMfBJz0dGkcTFHXaPPyki5M2K6dNN7GwUGagdSuXaVpqSmKPOZJG16qV5da0zZskM5qq8uUs6gKXs06X0ktOImJidi3b5/czcuAo4C2bYGPP5YGxmsV6J5VY8CBqIRSU1MFAJGammrpqpjN8ePHRVBQkIB0nBAAxEsvvSSOHz8uHBwc9JZHRkaK9PR08dprrwmNRiO8vb2Fu7u7fP/06dPF66+/LrZs2SIuXLggDh8+LHJzcy39Ek3uxo0b4tdffxVZWVkiOTlZtGnTRn4PmjdvLnJycoxeV15enujcubMAIAb37Svy1q0TomVLIYKChIiNNXndMzIy5O36999/C3t7ewFAnDt3zvADcnKEWL9eiPnzhRgyRIjOnYXo3l2IRo2E8PYWwsFBCKkhuvDNxkaI5s2FeOYZIQYPFmLaNCGmTxdi+XIhTp8WIi5OiJSUQk/ZuXNnUbt2bZGenm64TqdOCeHgIFbnv+ePF/X82tuYMeK7/P30iYL3+fgI8fbbQmzaJMSFC0Lcu2e6N7uC+fTTTwUAMWjQoMJ3FnxfQ0P178/Le3Df9u3Ssh07hPjxx+LXAwhx7ZrB+pw7d04AENWqVdNb/tJLL+l9b2lvFfl7XNWmTdPbnlk62+T27dtme9rSHL8ZcCqwa9euCW9vbwFATJkyRV4+depUvS8IjUYj6tevb/DLo6ibl5eXGD9+vLh7967YuXOnePfdd826U5vb1q1bRc2aNQUAERAQIIKDgwUAYWtrK7/m119/XXz//ffi0qVLBteRm5srZs+eLUJCQuTHODk6igs2Nvpf7M2ameU1PPHEEwKAiIiIEABE7dq1RV5enhC5uUIcOSLE3btC/PyzEH37CuHqWnx40N78/ITo3VuIzz4TYsUKIQ4dEuLGjTLVLzc3V2RmZhZf6PhxsSb/vQszon6r8ss+CUih7KefhMjIKFP9KqvPPvtMABADBw4sfGfB9zwkRP/++/cf3LdtmxScteH4wIGi1/PJJ0XWJy4uTgAQLi4uestHjRpV6HvI1tZW2sdJed9+W2TAuXXrltmetjTHb3ZRVWAeHh6IjY3FuXPn9AaRvvPOO+jQoQO2bt2Kr7/+GikpKbh48SLq1auHhQsXIi4uDm+//TZycnKQkz/QMyAgAKdOnQIA2NvbIykpCXPmzMGyZcvk8R2bNm3C5s2bcfToUfTo0QO2trbKv2gj3Lp1CydOnMDGjRuxfft2VK9eHXv37pXv175OANi3bx/27duHN998U54l1LFjR+zduxc3b96Ek5MTqlatCiEEXhowAN/kXxRWa2JWFvwKVsDYLh5d9+5JAz8PHJDOp3LzpjQDKD1dOtHbnTvoevcudkKarQUAwY0bQ/PMM9LsFEMcHIAGDaRupF69pAG5NWtKM4bc3aXmaCNmTxjLxsYGTk5OxRdq3hyanj2BTZsgHB2BadOKnlIMPOjG8vSUrjLNAaelVqqLm2q7qO7dk2aS6XZZ/fyzdEJC7XlR4uOlrg1D69UOTDZAW4+iuqh0Va9eXb1nsa7oCpwugl1UKlFZWnCM8fvvv4u6deuK1157Ta/r4N69eyI3N1csXrxY/PrrryIvL0+sWLFCLFu2TGRmZooNGzaIGjVqFNnCM3/+fAu+qsKys7PFwoULRb9+/YSzs7PBOvv7+4uEhAS5eycsLEwIIbU8fPLJJ3IXkI2NjTh8+LBwdXUVjz76qMjLyxPfrVolAAg7QHw4frz4EBBvAeKeoZaH7t0fVCwvT4izZ4XIypL+/vtvqatn2DAhvLyEqF5diDp1hNBoSmzN+KfgNjBUztlZiKgoIfbvFyItzQJbomQ//PCDACA6deokvT9vvFHka/62SxcBQHTp0sXS1bZas2bNEgBE//79C99Z8D1v107q+tO20GRk6N8/ceKD31eulNaRna1fpmvXYutz5swZAUC4ubnpLZ8yZUqhz2yDBg1M9C5QqW3dqrdd7+tslxtlbOU1BruoSsCAYxpXr14VK1euFJs3bxbr169X5Itn//79IiIiQpw9e7bQfcnJyXIXyJUrV8TZs2dFbm6umD9/vvDz89Orn7Ozs2jevLmYM2eOaNKkidBoNOLH/HEDR48eFS+88II4ffp0oecouB4A4udJk0St/FD0oRHdKqJXL6k5f9y4B8tcXITw8Cj+cba2QoSHS11GvXsL8cEHQhw8KMRXXwnRpYvI0+lOAyBu6z7200+lsTFWsM//+OOPAoDo2LGjtOD+fSG+/FKI2rWFqFVLCoRCCHH3rvjmm28EABEeHm65Clu52bNnCwDixRdfLHynv7/+PvjYY/rjcVJT9e9v0+bB74sXSwF16VL9MiNGFFufU6dOCQCiRo0aesu1Y4V0b0FBQSZ8J6hU9u7V2645OtslxcAYPFNhFxUpwtvbG4MGDQIgzcDw8fHB1fwTpl24cAHJyckGz2pbVqmpqejduzeSk5OxY8cO9OnTB5s3b8Zzzz0HJycnzJkzBzY2NvD398dZAxctrF27Nl555RW0bdsWPXr0kJu2R44cicuXL8vT5lu3bo3VBbqatEJDQxEfH6+3rFf+1bPbAHirqMr37CmdI+Tdd6WmfN0LHgJSV5PuuSacnYGOHaVrxgQHA0FB0pWhDTXHP/YYMHw4NACe69MHGzZswFOPPAK3LVus8nwuhbpM7OyAV14Bhg/XFpB+VqlSZHcGGa/QNHFd0dH6M2cKXllc91xFgHTxTK3MTGla+LBh+mUCA4utT1Hb1FAXFWdQWVCB7aHGLioGHDIJGxsbbNmyBWvXrsX69esRFxeHxYsX47333jPq8YcOHcKWLVvw77//wsvLC3PmzNG7+CMAfPTRR/JJ8G7cuCFf0HHBggVymby8PIPhZuzYsfj4448NXmbAwcHB6HMChYaEYEX+1ZUbeXvjbP5ZX30AbAKgd/pEf3/p+jsLFwLPPisdLAry8QFGjJDOLeHuLp05t0ED6SBehoP2okWLEBQUJF2ywUrHoxQ5JsTA+8GAU36FponratxY/2/dMtqLjurSObM2MjOBv/4qvM4SQklpAk5Jl/0gM2LAocqkVatWaNWqFRo0aIDhw4djypQpCA4ORpcuXYp93IYNG/C///1P7wv23r17+PLLL/UGKm/YsAEAMH36dJw5cwYpKSnw9fXF2bNncejQIURGRmLkyJH4999/0aRJE2RmZqJHjx6oX78+Pv3007KfvTktTToHTNeu6HXxItoCCAHwdmIiHgZQBcAuAA/pPubbb4EBA/TX07279B9tRgbw9NPSIF8T8/DwwMSJE02+XiWVZtArA075lWqQsW7AEaJwC46uu3cNX8OomEtu6NbDmICTbeBCj6SQYgKOWjDgkMkNHToUO3fuxJo1axAdHV1swImLi8OLL76IvLw8hIeHo02bNvjkk0+wbNkybNmyBY0bN8Zzzz2H7t2748KFC7Czs8OoUaOK/c/N19dX/v18/un4C54VtUhCSF/i165Jf0+aBKxcKd9dA8ABneLnILXayFdXCgiQvsCff97w+ksIe8SAo7QyzaICDLfg6MrMLHytrshI6RT/xShqmxpqfdVel4oswEDg1GILDlVYGo0GrVu3xpo1axAXF4cpU6Zg8ODB8Pf3x6VLl9CtWzfk5OSgU6dO2L59O7KysvDEE09gy5YtsLOzQ4sWLfDqq68iKSkJSUlJ2LNnD/78808AQHBwcKmapYsNNkIAa9dK42IeflhqTr9xo1SvtaaTk3Sm3y++AP77Tzp1eXFX3qUSlSXgUNmV+H5//jkwdar02ShNC05mJqB7YdVmzQpfZNOA0rTgMOBYEAMOVVbai3xu2bIFW7ZswaJFi5CcnIzJkyfL55mJi4sDIJ1XZ+HChfKFJPv164cnnngCR48eRUREBNLS0rBu3ToAKLG7y6CbN6XQcemSdA2jkSOl7iHd5m3d6xMV58svgYgIaUDw119LA4Fr15YOAGQSpWpRKPAYKr0S3+8xY6RLN4SG6gec3NziW3AWLnwwMByQLqVhhJKuRaWrT58+Rq2TzKBKlUKLNMifRsWAQxVZrVq19P6+fv06YmNj5Wszffzxx4iPj8e9e/cwZMgQNGrUSK+8h4cHnnrqKQwdOlTvKtxt27Yt/onv3JE+eKdPA4cPS+MARowoXK5g333VqlJ3lL+/9CU+Y4b02I8/lq6ZpA0yWm5uUssPmRy7qJRl1PutDRtFzaJycwNSUws/bsmSB78bOejdmC4qd3d3LFiwAL179zZqnWQGBj5zDDhUKWhbcHS1bdsWQghERERg0qRJRq2n4BW19S5EmZkptc4sXw6cOiWdOfXAAZSoRg3gzTel6a/t2kljZuzs9D+w/fsbVT8yPe1/7gZn9RTAgFN+xU4T19IO9i/YRaUNPLa20sD5os6aDUghyAjGdFE1aNAAffv2NWp9ZEYvvyx9/+bTbjEGHKrQCrbgAMD9+/dRvXp1vRaZkvj5PbjQgbO9Pep8/TVw+TJw8qQUZko6CNraAi+8IJ0yftAg6fwyBQc+kqqwBUdZxU4T19K24OiW+fdf4P596Xd7e6Bfv+IDjpFj54wJONV0x/aQ5QwYwIBDlY+hFhwA+Oabb+Dt7V30A3NypK6lf/4BjhyB/6+/ync1vn8fmilTCj+maVOgRQsgLEzq5791SwoyISFWd5I7YsBRWpm7qO7f1w84jo7FP5GBMRuGGBNwynzKBzKtAtcbVNunkAGHzKJgwBk0aBDefvtt/S4mALh6Fbh4UTrXzNmzwKxZ0qykfPV1itYGpBDTooXUtdSmDeDnZ5bzyZDlcBaVsox6vw11UQH6AaekC6kaeaoGYwKOWi/kW+kU0Rquls8lAw6ZhZOTE5ycnHDv3j0AwIwZM+Dt5SUN/t2zB9i+HTh4UJpaXZCjo9T60qIFqjRvLvXzAnDs2bPwJQ6owmELjrJK1YJTXMApqQXHiDFVuvUouE11z2xu9HmtyLyKaMFhwKGKKy9POmW7TnO2e5cu0iDgu3cNP6ZOHemyBf36Aa++qtecXeP113Hr1i307NnT3DUnFeA0cWWVuYsKeDCLys4OMDDuTudJgJdeMqo+RU0T168OA44qFGjBYcChiiU9Hfj+e6mLKSUF2LkTOHYMyM2F7leh/YkT0i+2tkDr1kCvXlIrTWCgdAKxoi4kCek6Vfv27cPAgQPN/nLI8tiCo6xSd1HZ2DxojdGebsHeXvpcDxsmHfQOHJC+B7SOHCn3LCr96rCLShXYgkMVRmqqdLbfuDipq2n/fiA2tsimZ71znP76K1CvHlC/fuHBhiXMiGjQoIHRF8Mk68eAo6xSd1HpBpzMTOmnvb30D4r2vDd370oD/bVKEUiM2aZswVEJtuCQVcrJkWYyHT4snf133z5pMHBxOnaUpg0GBQHNmkHoBpmnnjJrdaniMOq8LPkYcMrPqPMO6XZR6b7X2i7ngpcnqVJFKqfdhqU4NQMDjhVhCw5ZhdRUaRbTtm3AL79ILTNZWYXLeXlJF5Rs3lzqXgoJkc7+S2QiRp2XJR8DTvmVqYtKq6iAo9FILTgZGdLfJg44Pj4+Rq+PzEg7yDyf2j6FDDiVVV4e8PffwG+/AVu3Sq00BQ8oVatKJ8jr2FEKNUFBQMOGRp9bpl27djhw4IDe1b2JSsJp4soqdReV7udft4uqoKpVHwQcE3VRrV27Ft9++y3ee+89o9dHZlTEpBG1fC4ZcCqT69el1pktW6RAk5ysf7+zsxRonn1WCjXNmpXrythr167Fp59+irFjx5az4lSZcAyOsko9i0q3nPYAZ6iFRncMTilacIqbRdW3b19eokFNmjbV+5NdVKSc27el1pldu4Djx4FDh/SneTo7A48/DnTtCnTvbvKuJl9fX8yfP9+k66SKj9PElVXqLqocnekDJbXgaJm4i4pUwtVV+sc5/0LEDDhkHkIAJ05IM5t275bOQ3PwYOFyTZoAnTsDffoAHTqUfHIuIoWxBUdZpW7B0f0nqagxOIBZZ1GRiri7y7+qLeAoMhR94cKF8PPzg5OTEwIDA7F3795iy+/ZsweBgYFwcnKCv78/Fi9erHf/hg0bEBQUhOrVq8PZ2RmtWrXCt99+a86XoC5CSJc42LoVeOst6eR4rVoBjzwinSRv9eoH4cbDA+jdG/j6a+DcOemq2wsWSCGH4YZUiAFHWaUKODk5+suLCzi6l25gC06loLaAY/YWnLVr12LcuHFYuHAhOnTogC+//BLdunXDyZMnDQ4+jY+PR/fu3TF8+HCsWrUKf/75J0aOHInatWujT58+AKTrHE2ePBlNmjSBg4MDfvnlF7z00kvw8PBA165dzf2SlJOeLs1mSk2Vupe0V9GOi5MuKFmQvT0QHCx9sQQHA4MHS9dqIrIiDDjKMmpaflEtMMUFHN1/oBhwKoVKF3Bmz56NoUOHYtiwYQCAuXPn4rfffsOiRYswffr0QuUXL14MX19fzJ07FwAQEBCAw4cPY+bMmXLACQsL03vM2LFjsXLlSuzbt896A87Nm9L1mVavli42efKkdJbQonYUW1vg4YeBxo2lwcD16klnB/b0VLbeRCbGgKMso6blF3XeGQYc0qG2LWbWgJOdnY0jR47g7bff1lseHh6O/fv3G3xMTEwMwsPD9ZZ17doVy5Ytw/379/UuuAZIH4Zdu3bhzJkz+OSTTwyuMysrC1k653RJS0sry8sxrXPngKNHpRPpnTghdSnduFG4XJ06QM2aUkvMI49IoaZlSynYlHT1XiIrVJYT/VHZlaqLqqDiZlHpztIsxRgcY65FReqmls+lWQNOSkoKcnNz4VmgVcHT0xNJSUkGH5OUlGSwfE5ODlJSUuDt7Q0ASE1NxUMPPYSsrCzY2tpi4cKF6NKli8F1Tp8+HR988IEJXpER5swBli4F1q+XBtnVrSst/+cf4LvvpPuBQidI0tO/PzBuHPDQQ0D+6yWqLHiiP2WVahZVQcXNovrrrwe/swWnUqh0XVRA4R1VCFHszmuofMHlLi4uOHbsGDIyMrBz505ERUXB39+/UPcVAEycOBFRUVHy32lpaairDR6mdOYMoH2egADjH/foo8B77wFPPik16/KDTZUYp4krq1wtOP/8I/00FHDs7PSvNm4kBhzrVakCjru7O2xtbQu11iQnJxdqpdHy8vIyWN7Ozg61atWSl9nY2KBhw4YAgFatWuHUqVOYPn26wYDj6OgIRyVmDGmvrFsSV1fghx+kFp4OHcxbJyIrwzE4yipXwLl+XfppKOC0bi1NjpCexOj6cJtar0oVcBwcHBAYGIjt27fj2WeflZdv374dvXr1MviY4OBgbN68WW/Ztm3bEBQUVGj8jS4hhN44G4t45BHpHBEHDkhdVH/9BaSlAQ0aSGNoXnxROplejRqWrSeRijHgKKtcXVRahr6bv/8emDQJmDChVPXhNrVelSrgAEBUVBQGDhyIoKAgBAcH46uvvkJCQgIiIyMBSN1HV65cwTfffAMAiIyMxPz58xEVFYXhw4cjJiYGy5Ytw+rVq+V1Tp8+HUFBQWjQoAGys7MRHR2Nb775BosWLTL3yymZjQ3Qvr10I6JSY8BRllGDuksa8Gso4DRsCKxbV+r6cJtar0oXcCIiInDjxg1MnToViYmJaN68OaKjo1GvXj0AQGJiIhISEuTyfn5+iI6Oxvjx47FgwQL4+Phg3rx58hRxALhz5w5GjhyJ//77D1WqVEGTJk2watUqREREmPvlEJGZMeAoq1zTxLVKMcamJJxFZb3U9ilUZJDxyJEjMXLkSIP3rVixotCy0NBQHD16tMj1ffTRR/joo49MVT0iUhFeTVxZZuuiKiOGVuunls8lIzIRqQpnUSnLqPdboyl+7CADDkF9XVQMOESkKtquCZ4HRxlGB8pJk4q+T/cCnOXEbWq9GHCIiIrBMTjKMvr9Lm6cTXq6yerDbWq9GHCIiIrBgKMso9/v4rqh2IJTueVvKwYcIqJiMOAoq0wBp0oV/fu0Zyw2AW5TK5Q/CJ0Bh4ioGJxFpSyjxzzpdlE5Oz+40Kb0YJPVh9PErVD+tlJbJOUeRESqwhYcZZVpDI4Q+q047KKq3AqEUbX848GAQ0SqwmniyjL6/XZ3f/B7wbIMOJUbu6iIiErGFhxlGf1+P/XUg98LltUNP+XEbWqFCnRRMeAQERlg1LWR8vFgWH5GBxzdbgjtmJs1a4DnngNef91k9eE2tUIqDTiKXKqBiMhYRl0bKR8PhuVXli5BuUsqIkK6mRC3qRViFxURUcnYRaWsMgWcrCwz1YazqKySSltwuAcRkapwmriyStMlKLt/30y1YWi1SgVacNSCAYeIVIUtOMoqTZegErhNrRCniRMRlYzTxJVVpi4qM2LAsULsoiIiKhlbcJRVqoDz6afSz1mzzFYfblMrpNJBxpxFRUSqwoCjrFIFnDffBAYOBLy8zFYfblMrxBYcIqKSMeAoq9RdVGYMNwBnUVklBhwiopIZffFHMOCYAsfgULmptIuKAYeIVIXTxJVVpmniZsSAY4V4NXEiopKxi0pZnCZO5ZbfgqOllrDMgENEqsJp4spiFxWVG8fgEBGVrDQHNh4My48Bh8pNu83kP9WxLzHgEJGq6B7YSvqi5MGw/NQWcDiLygrlbzMGHCKiYjDgKEttAYfb1Aox4BARlYwBR1kMOFRuDDhERCUrS8ChsmPAoXIrEHDUggGHiFRFd+xFSVOXeTAsv9KcWFEJ3KZWqMC+o5awzIBDRKpSmhYcQ4+h0mELDpUbu6iIiErGMTjKUlvA0bYkcZtaEQYcIqKSMeAoS20BR1sPThO3Igw4REQlY8BRlloDDrepFeGJ/oiISsZZVMpiwKFy69ULAKBxdASgnn1JkYCzcOFC+Pn5wcnJCYGBgdi7d2+x5ffs2YPAwEA4OTnB398fixcv1rt/yZIlCAkJQY0aNVCjRg08+eST+Ouvv8z5EohIIWzBURYDDpXbzJnAkiXQBARYuiZ6zB5w1q5di3HjxmHy5MmIjY1FSEgIunXrhoSEBIPl4+Pj0b17d4SEhCA2NhaTJk3CmDFjsH79ernM7t270a9fP/z++++IiYmBr68vwsPDceXKFXO/HCIyMwYcZXGaOJVb1arAsGGAvT0A9YRlswec2bNnY+jQoRg2bBgCAgIwd+5c1K1bF4sWLTJYfvHixfD19cXcuXMREBCAYcOG4eWXX8bMmTPlMt999x1GjhyJVq1aoUmTJliyZAny8vKwc+dOc78cIjIz3cGlnCZufmzBIVNR275k1oCTnZ2NI0eOIDw8XG95eHg49u/fb/AxMTExhcp37doVhw8fxv379w0+5u7du7h//z5q1qxp8P6srCykpaXp3YhInXQPbDzRn/mp7aDEi21aL7XtS2bdg1JSUpCbmwtPT0+95Z6enkhKSjL4mKSkJIPlc3JykJKSYvAxb7/9Nh566CE8+eSTBu+fPn063Nzc5FvdunXL8GqISAnsolKW2g5K3KbWS237kiIRueCOKoQoduc1VN7QcgD49NNPsXr1amzYsAFOTk4G1zdx4kSkpqbKt8uXL5f2JRCRQhhwlKW2gxK3qfVS275kZ86Vu7u7w9bWtlBrTXJycqFWGi0vLy+D5e3s7FCrVi295TNnzsS0adOwY8cOtGjRosh6ODo6wjF/+hoRqRuniStLbQclBhzrpbZ9yawtOA4ODggMDMT27dv1lm/fvh3t27c3+Jjg4OBC5bdt24agoCDY54/QBoDPPvsMH374IbZu3YqgoCDTV56ILIItOMpS20GJ29R6qW2bmb2LKioqCkuXLsXy5ctx6tQpjB8/HgkJCYiMjAQgdR8NGjRILh8ZGYlLly4hKioKp06dwvLly7Fs2TK88cYbcplPP/0U77zzDpYvX4769esjKSkJSUlJyMjIMPfLISIzY8BRlnYwLwMOmYpa9iWzdlEBQEREBG7cuIGpU6ciMTERzZs3R3R0NOrVqwcASExM1Dsnjp+fH6KjozF+/HgsWLAAPj4+mDdvHvr06SOXWbhwIbKzs/H888/rPdeUKVPw/vvvm/slEZEZ8WriytK+d2o5Dw5nUVkvtbUGmj3gAMDIkSMxcuRIg/etWLGi0LLQ0FAcPXq0yPVdvHjRRDUjIjVjC475qe2gxG1qvdS2LzEiE5HqGHt2XR4My09tByVuU+ultn2JAYeIVMfYL0oeDMtPbQclblPrpbZ9iQGHiFSntAGHyk5tByUGHOultn2JAYeIVIctOMpR23vHbWq91LbNGHCISHUYcJRTlllr5sRZVNZPDfsRwIBDRCpU2qZuBpyy0w0SapgqztBqvdhFRURUArbgKEdtLTjcptaLAYeIqAQMOMphwCFTYcAhIioBA45yGHDIVBhwiIhKUNoT/VHZMeCQqTDgEBGVgC04ylFbwNGGWm5T66O2bcaAQ0Sqw4CjHLUFHG0dOE3ceqlhPwIYcIhIhThNXDmcJk6mwi4qIqISsAVHOWptweE2tT4MOEREJWDAUQ4DDpkKAw4RUQkYcJTDgEOmwoBDRFQCXk1cOQw4ZCoMOEREJdAOfGULjvmpLeDwYpvWS22fQ+5BRKQ62i9KY2f1qO2L1ZqoLeAwtFo/NexHAAMOEakQx+AoR7elRA0HJm5T68UuKiKiEjDgKEf3veN5cKg8GHCIiErAgKMcdlGRqTDgEBGVgLOolMOAQ6bCgENEVAK24FiGGg5MnEVlvRhwiIhKwICjLDUdmLhNrZfathkDDhGpDi+2qSwGHDIlNexHAAMOEamQtnuipFk9PBiaBgMOmYKa9iOAAYeIVIhdVMoyNlAqgdvUejHgEBGVgAFHWWo6MHGbWi817UcAAw4RqRCniStLTQcmzqKyXmrajwAGHCJSIbbgKEtNByZuU+ulpv0IYMAhIhViwFGWmg5M3KbWS23bjAGHiFSH08SVxYBDpqSG/QhQKOAsXLgQfn5+cHJyQmBgIPbu3Vts+T179iAwMBBOTk7w9/fH4sWL9e4/ceIE+vTpg/r160Oj0WDu3LlmrD0RKY0tOMpiwCFTUNN+BCgQcNauXYtx48Zh8uTJiI2NRUhICLp164aEhASD5ePj49G9e3eEhIQgNjYWkyZNwpgxY7B+/Xq5zN27d+Hv748ZM2bAy8vL3C+BiBTGgKMsThMnU6h0AWf27NkYOnQohg0bhoCAAMydOxd169bFokWLDJZfvHgxfH19MXfuXAQEBGDYsGF4+eWXMXPmTLnMo48+is8++wwvvPACHB0dzf0SiEhhPNGfstR0YOIsKuulpv0IMHPAyc7OxpEjRxAeHq63PDw8HPv37zf4mJiYmELlu3btisOHD+P+/ftmqysRqQeniStLTQcmhlbrpab9CADszLnylJQU5ObmwtPTU2+5p6cnkpKSDD4mKSnJYPmcnBykpKTA29u71PXIyspCVlaW/HdaWlqp10FEymEXlbLUdGDiNrVeatqPAIUGGRfcUYUQxe68hsobWm6s6dOnw83NTb7VrVu3TOshImUw4ChLTQcmblPrpbZtZtaA4+7uDltb20KtNcnJyYVaabS8vLwMlrezs0OtWrXKVI+JEyciNTVVvl2+fLlM6yEiZXCauLIYcMiU1LAfAWYOOA4ODggMDMT27dv1lm/fvh3t27c3+Jjg4OBC5bdt24agoCDY29uXqR6Ojo5wdXXVuxGRerEFR1kMOGQKatqPAAW6qKKiorB06VIsX74cp06dwvjx45GQkIDIyEgAUuvKoEGD5PKRkZG4dOkSoqKicOrUKSxfvhzLli3DG2+8IZfJzs7GsWPHcOzYMWRnZ+PKlSs4duwYzp07Z+6XQ0QKYMBRlnbGkhoOTNpZVNym1kdtAcesg4wBICIiAjdu3MDUqVORmJiI5s2bIzo6GvXq1QMAJCYm6p0Tx8/PD9HR0Rg/fjwWLFgAHx8fzJs3D3369JHLXL16Fa1bt5b/njlzJmbOnInQ0FDs3r3b3C+JiMyMAUdZ2vdPTefB4TRx61PpAg4AjBw5EiNHjjR434oVKwotCw0NxdGjR4tcX/369VXzBhKR6ZX2PDhUPmo6MDG0Wi817UcAr0VFRCrEFhxlqenAxG1qvdS0HwEMOESkQgw4ylLTgYnb1HqpbZsx4BCR6nCauLIYcMiU1LAfAQw4RKRCbMFRFgMOmYKa9iOAAYeIVIgBR1lqOjDxYpvWS037EcCAQ0QqxIttKsvYWWtKYGi1Xgw4REQlYAuOstR0YOI2tV5q2o8ABhwiUiEGHGWp6cDEbWq91LQfAQw4RKRCpT3RHw+G5aOmAxO3qfVS2zZjwCEi1eE0cWUx4JApqWE/AhhwiEiF2EWlLDUFHM6isl5q2o8ABhwiUiEGHGWp6cDEbWq91LQfAQw4RKRCnCauLE4TJ1NgwCEiKgFbcJSlpgMTt6n1UtN+BDDgEJEKMeAoS00HJm5T66Wm/QhgwCEiFWLAUZaaDkzcptZLbduMAYeIVIfTxJWlpoDDWVTWTw37EcCAQ0QqxBP9KUtNAYfb1HqpaT8CGHCISIXYRaUsNR2YuE2tl5r2I4ABh4hUiNPElcVp4mQKDDhERCVgC46y1HRg4ja1XmrajwAGHCJSIQYcZanpwMRtar3UtB8BDDhEpEIMOMpS04FJ203GbWp91LbNGHCISHU4TVxZago42jpwmrj1UsN+BDDgEJEKsQVHWWoMONym1kdN+xHAgENEKsTz4ChLTQcmblPrpab9CGDAISIV4jRxZanpwMSAY73UtB8BDDhEpELsolIWz4NDpsCAQ0RUAgYcZanpwMRtar3UtB8BDDhEpEIMOMpS04GJF9u0Xmr7HHIPIiLV4TRxZakp4DC0Wj817EcAAw4RqRBbcJTFgEOmoKb9CGDAISIV4iwqZanpwMSAY73UtB8BDDhEpEJswVGWmg5M3KbWS037EaBQwFm4cCH8/Pzg5OSEwMBA7N27t9jye/bsQWBgIJycnODv74/FixcXKrN+/Xo0bdoUjo6OaNq0KTZu3Giu6hORwniiP2VxmjiZQqULOGvXrsW4ceMwefJkxMbGIiQkBN26dUNCQoLB8vHx8ejevTtCQkIQGxuLSZMmYcyYMVi/fr1cJiYmBhERERg4cCD+/vtvDBw4EH379sXBgwfN/XKISAFswVGWmg5MnEVlvdS0HwEKBJzZs2dj6NChGDZsGAICAjB37lzUrVsXixYtMlh+8eLF8PX1xdy5cxEQEIBhw4bh5ZdfxsyZM+Uyc+fORZcuXTBx4kQ0adIEEydOxBNPPIG5c+ea++UQkQIYcJSlpgMTt6n1Uts2M2vAyc7OxpEjRxAeHq63PDw8HPv37zf4mJiYmELlu3btisOHD+P+/fvFlilqnVlZWUhLS9O7EZF6cZq4shhwyJTUsB8BZg44KSkpyM3Nhaenp95yT09PJCUlGXxMUlKSwfI5OTlISUkptkxR65w+fTrc3NzkW926dcv6kohIAWzBURYDDpmCmvYjQKFBxgV3VCFEsTuvofIFl5dmnRMnTkRqaqp8u3z5cqnqT0TK4jRxZanpwMSAY73UtB8BgJ05V+7u7g5bW9tCLSvJycmFWmC0vLy8DJa3s7NDrVq1ii1T1DodHR3h6OhY1pdBRApjC46y1HRg4ja1XmrajwAzt+A4ODggMDAQ27dv11u+fft2tG/f3uBjgoODC5Xftm0bgoKCYG9vX2yZotZJRNaFAUdZapomzllU1kttAcesLTgAEBUVhYEDByIoKAjBwcH46quvkJCQgMjISABS99GVK1fwzTffAAAiIyMxf/58REVFYfjw4YiJicGyZcuwevVqeZ1jx45Fp06d8Mknn6BXr174+eefsWPHDuzbt8/cL4eIFMCAoyw1HZi4Ta2XmvYjQIGAExERgRs3bmDq1KlITExE8+bNER0djXr16gEAEhMT9c6J4+fnh+joaIwfPx4LFiyAj48P5s2bhz59+shl2rdvjzVr1uCdd97Bu+++iwYNGmDt2rVo27atuV8OESmgtC0KPBiWj5oOTAw41ktt28zsAQcARo4ciZEjRxq8b8WKFYWWhYaG4ujRo8Wu8/nnn8fzzz9viuoRkcqwBUdZDDhkSmrYjwCFAo61ys3Nlc+9Q2Qp9vb2sLW1tXQ1FMWAoywGHDIFNe1HAAOOQUIIJCUl4fbt25auChEAoHr16vDy8qo0X/qcJq4sNR2YGHCsl5r2I4ABxyBtuPHw8EDVqlX5QSOLEULg7t27SE5OBgB4e3tbuEbKYAuOstR0YNKOu+I2tT5q2o8ABpxCcnNz5XCjPe8OkSVVqVIFgHSuJw8Pj0rRXcWAoyw1HZi0deA0ceujpv0IUOhMxtZEO+amatWqFq4J0QPa/bGyjAljwFGWms6Dw21qvRhwrAQ/XKQmlW1/5MU2laWmAxMDjvVS2zZjwCEi1TG2RYEHQ9NgwCFTUNN+BDDgUBnUr18fc+fOtdjzh4WFYdy4cSZb35AhQ9C7d2+TrY/Kj11UylLTgYnb1PqpYT8CGHAqFFMcqO/cuYMJEybA398fTk5OqF27NsLCwvDLL7/IZQ4dOoRXXnlF/luj0eCnn34q1/MCwO7du6HRaORblSpV0KxZM3z11VflXndZhYWF6dWp4K1+/foWq1tFxmniymLAIVNQ034EcBYVFRAZGYm//voL8+fPR9OmTXHjxg3s378fN27ckMvUrl3brHU4c+YMXF1dkZmZic2bN2PEiBFo0KABnnjiCbM+ryEbNmxAdnY2AODy5ct47LHHsGPHDjRr1gwASj2j6f79+/JFY6lobMFRlpoOTLzYpvVS034EsAWnQgsLC8OYMWPw1ltvoWbNmvDy8sL7779f7GM2b96MSZMmoXv37qhfvz4CAwMxevRoDB48WC6j20WlbcF49tln9Vo0DLUmjRs3DmFhYSXW28PDA15eXvDz88OYMWNQv379Yi/dsWrVKgQFBcHFxQVeXl548cUX5fPGaJ04cQJPP/00XF1d4eLigpCQEJw/f97g+o4cOQIPDw98/PHH8vvm5eUlB7tatWrJy2bOnIlGjRqhatWq8Pf3x7vvvqs30+n9999Hq1atsHz5cvj7+8PR0RFCCISFheG1117Da6+9hurVq6NWrVp45513VPPFYGkMOMpS04GJ29R6qWk/AtiCYxwhgLt3LfPcVasC5figr1y5ElFRUTh48CBiYmIwZMgQdOjQAV26dDFY3svLC9HR0Xjuuefg4uJS4voPHToEDw8PfP3113jqqadMeo4WIQR+++03XL58udgLqWZnZ+PDDz9E48aNkZycjPHjx2PIkCGIjo4GAFy5cgWdOnVCWFgYdu3aBVdXV/z555/IyckptK7du3ejd+/emD59OkaMGFFiHV1cXLBixQr4+Pjg+PHjGD58OFxcXPDWW2/JZc6dO4d169Zh/fr1eu/PypUrMXToUBw8eBCHDx/GK6+8gnr16mH48OGleZsqJAYcZXGaOJkCA441unsXqFbNMs+dkQE4O5f54S1atMCUKVMAAA8//DDmz5+PnTt3FhlwvvrqK/Tv3x+1atVCy5Yt0bFjRzz//PPo0KGDwfLaVg3tpQRMoU6dOgCArKws5OXlYerUqejUqVOR5V9++WX5d39/f8ybNw+PPfYYMjIyUK1aNSxYsABubm5Ys2aN3D3UqFGjQuv5+eefMXDgQHz55Zfo16+fUXV955135N/r16+P119/HWvXrtULONnZ2fj2228Lde3VrVsXc+bMgUajQePGjXH8+HHMmTOHAQecJq40NR2YGHCsl9q2GbuoKrgWLVro/e3t7V2o+0ZXp06dcOHCBezcuRN9+vTBiRMnEBISgg8//NDcVZXt3bsXx44dw7Fjx7B06VJMmzYNixYtKrJ8bGwsevXqhXr16sHFxUXuBktISAAAHDt2DCEhIcWOfTl48CD69OmDlStXGh1uAODHH39Ex44d4eXlhWrVquHdd9+Vn1erXr16BscttWvXTu8LITg4GHFxccjNzTX6+SsqtuAoiwGHTEFN+xHAgGOcqlWllhRL3Mp5RuWCB3WNRlNiM7S9vT1CQkLw9ttvY9u2bZg6dSo+/PBDebCtMWxsbArt5MaehdfPzw8NGzZEs2bN8NJLL2HgwIH4+OOPDZa9c+cOwsPDUa1aNaxatQqHDh3Cxo0bAUCur/ZSB8Vp0KABmjRpguXLlxv9Og8cOIAXXngB3bp1wy+//ILY2FhMnjy50OOdy9ECV1lxFpWy1HRgYsCxfmrYjwB2URlHoylXN5G1a9q0KXJycnDv3j04ODgUut/e3r5Qq0Pt2rXx77//6i07duxYmWYQ2draIjMz0+B9p0+fRkpKCmbMmIG6desCAA4fPqxXpkWLFli5cmWxM5jc3d2xYcMGhIWFISIiAuvWrSuxrn/++Sfq1auHyZMny8suXbpk9Os6cOBAob8ffvjhSnGtqZLwRH/KUlPA4Swq66Wm/QhgCw4VEBYWhi+//BJHjhzBxYsXER0djUmTJuHxxx+Hq6urwcfUr18fO3fuRFJSEm7dugUA6Ny5Mw4fPoxvvvkGcXFxmDJlSqHAU5Tk5GQkJSXh0qVL+OGHH/Dtt9+iV69eBsv6+vrCwcEBX3zxBS5cuIBNmzYV6k577bXXkJaWhhdeeAGHDx9GXFwcvv32W5w5c0avnIeHB3bt2oXTp0+jX79+Bgch62rYsCESEhKwZs0anD9/HvPmzZNbj4xx+fJlREVF4cyZM1i9ejW++OILjB071ujHV2TsolKWmg5M3KbWS037EcCAQwV07doVK1euRHh4OAICAjB69Gh07doV69atK/Ixs2bNwvbt21G3bl20bt1aXs+7776Lt956C48++ijS09MxaNAgo+rQuHFjeHt7o2HDhpgwYQJeffVVfPHFFwbL1q5dGytWrMAPP/yApk2bYsaMGZg5c6ZemVq1amHXrl3IyMhAaGgoAgMDsWTJEoMtNF5eXti1axeOHz+O/v37FzseplevXhg/fjxee+01tGrVCvv378e7775r1GsEgEGDBiEzMxOPPfYYRo0ahdGjR+udQLEyY8BRlpoOTNym1ktN+xEAQFRCqampAoBITU0tdF9mZqY4efKkyMzMtEDNqLIIDQ0VY8eONbp8ZdsvJ06cKACU+B7Z2dkJAOLy5cvKVKyCGjJkiAAgZsyYYemqCBsbGwFAXL161dJVoVL66quvBADRs2dPsz1HccfvgtiCQ0Sqw2niylLTf96CLThWS23bjAGHiFSHXVTKYsAhU1DTfgRwFhWRRezevdvSVVA1ThNXlloOTLrPz1lU1svS+5EW9yAiUh224ChLjQGH29T6qGU/0mLAISLV0X5R8jw4ylDLgYkBx7qpZT/SYsAhItXRdk9wkLEy1HJgYsCxbmrZj7QYcIhIdYz5ouTB0HTUcmDiNrVuatmPtBhwiEh1OE1cWcZeGsPcGHCsm9q2GQMOEakOW3CUpZb/vHUDFrep9VHLfqTFgEOK2r17NzQaDW7fvm2S9V28eBEajQbHjh0zyfpIHUobcKh81HJg4jTxisHS+5EW96AKZMiQIdBoNNBoNLCzs4Ovry9GjBghXwDTGOUJDGFhYfLz29jYwNPTE//73/9KdYVtU9KGqeJuK1assEjdqHhswVGWGgMOt6n1Uct+pMWAU8E89dRTSExMxMWLF7F06VJs3rwZI0eOVOz5hw8fjsTERFy5cgU///wzLl++jAEDBij2/Lrat2+PxMRE+da3b1/5/dHeIiIiSrXO+/fvm6m2pIsBR1lqOTBxm1o3texHWgw4FYyjoyO8vLxQp04dhIeHIyIiAtu2bdMr8/XXXyMgIABOTk5o0qQJFi5cKN/n5+cHAGjdujU0Gg3CwsJK9fxVq1aFl5cXvL290a5dO4waNQpHjx4tsvyNGzfQr18/1KlTB1WrVsUjjzyC1atX65XJy8vDJ598goYNG8LR0RG+vr74+OOPDa4vLy8Pw4cPR6NGjZCYmAgvLy/5VqVKFfn98fLywuXLl9GzZ0+4u7vDzc0NoaGhheqq0WiwePFi9OrVC87Ozvjoo4/klqEtW7agZcuWcHJyQtu2bXH8+PFSvVdUNAYcZanlwMRtat3Ush9p8VINRhBC4O7duxZ57qpVq5b5g37hwgVs3boV9vb28rIlS5ZgypQpmD9/Plq3bo3Y2FgMHz4czs7OGDx4MP766y889thj2LFjB5o1awYHB4cy1/3mzZv44Ycf0LZt2yLL3Lt3D4GBgZgwYQJcXV2xZcsWDBw4EP7+/vLjJk6ciCVLlmDOnDno2LEjEhMTcfr06ULrys7Oxosvvojz589j37598PDwKLZ+6enpGDx4MObNmwcAmDVrFrp37464uDi4uLjI5aZMmYLp06djzpw5sLW1RXx8PADgzTffxOeffw4vLy9MmjQJPXv2xNmzZ/XebyobY2b18GBoOmo5MHGbWje17Ecyo65PXkY3b94UAwYMEK6ursLV1VUMGDBA3Lp1q9jH5OXliSlTpghvb2/h5OQkQkNDxb///qtX5ssvvxShoaHCxcVFAChxnQUVd7n1zMxMcfLkSZGZmSkvy8jIEAAscsvIyDD6dQ0ePFjY2toKZ2dn4eTkJK9j9uzZcpm6deuK77//Xu9xH374oQgODhZCCBEfHy8AiNjY2FK9p0IIERoaKuzt7YWzs7OoWrWqACAaNWok4uPj5TK///57iduse/fu4vXXXxdCCJGWliYcHR3FkiVLDJbV1nfv3r3iySefFB06dBC3b982WHbw4MGiV69eRT5vTk6OcHFxEZs3b5aXARDjxo3TK6d9DWvWrJGX3bhxQ1SpUkWsXbu2yPWXh6H9siL79NNPBQAxaNCgIsvcu3dP3seL2uZknPHjxwsAYsKECRatx+3bt+VtWln29Ypk9erVAoDo3Lmz2Z6juON3QWbtonrxxRdx7NgxbN26FVu3bsWxY8cwcODAYh/z6aefYvbs2Zg/fz4OHToELy8vdOnSBenp6XKZu3fv4qmnnsKkSZPMWX2r9Pjjj+PYsWM4ePAgRo8eja5du2L06NEAgOvXr+Py5csYOnQoqlWrJt8++ugjnD9/3iTP379/fxw7dgx///039u3bh4YNGyI8PFxv++nKzc3Fxx9/jBYtWqBWrVqoVq0atm3bhoSEBADAqVOnkJWVhSeeeKLY5+3Xrx8yMjKwbds2uLm5GVXX5ORkREZGolGjRnBzc4ObmxsyMjLk59YKCgoy+Pjg4GD595o1a6Jx48Y4deqUUc9NxWMXlbLU8p+34Cwqq6aW/UjLbF1Up06dwtatW3HgwAG5q2HJkiUIDg7GmTNn0Lhx40KPEUJg7ty5mDx5Mp577jkAwMqVK+Hp6Ynvv/8er776KgBg3LhxAJS7InPVqlWRkZGhyHMZeu7ScHZ2RsOGDQEA8+bNw+OPP44PPvgAH374odzcv2TJkkLdRra2tiapr5ubm/z8DRs2xLJly+Dt7Y21a9di2LBhhcrPmjULc+bMwdy5c/HII4/A2dkZ48aNQ3Z2NgCgSpUqRj1v9+7dsWrVKhw4cACdO3c26jFDhgzB9evXMXfuXNSrVw+Ojo4IDg6Wn1vL2dnZqPUBPNCaCqeJK0stByaG1orB0vuRltkCTkxMDNzc3PQOpO3atYObmxv2799vMODEx8cjKSkJ4eHh8jJHR0eEhoZi//79csApraysLGRlZcl/p6WllerxGo2mVAc5NZkyZQq6deuGESNGwMfHBw899BAuXLiA/v37GyyvHXOTm5trkufXBqfMzEyD9+/duxe9evWSZ1rl5eUhLi4OAQEBAICHH34YVapUwc6dOw0GJK0RI0agefPm6NmzJ7Zs2YLQ0NAS67Z3714sXLgQ3bt3BwBcvnwZKSkpRr+2AwcOwNfXFwBw69YtnD17Fk2aNDH68VQ07cHt0KFD8j80BeXk5BQqT2Wjff927txZ5PuthHv37sm/c5taH+02i4uLw7hx4+Dh4WHRnhazBZykpCSDgzw9PDyQlJRU5GMAwNPTU2+5p6dnuc6lMn36dHzwwQdlfrw1CwsLQ7NmzTBt2jTMnz8f77//PsaMGQNXV1d069YNWVlZOHz4MG7duoWoqCh4eHigSpUq2Lp1K+rUqQMnJye4ublh48aNmDhxosHBvbru3r0rb8dr167ho48+gpOTk15o1dWwYUOsX78e+/fvR40aNTB79mwkJSXJAcfJyQkTJkzAW2+9BQcHB3To0AHXr1/HiRMnMHToUL11jR49Grm5uejRowd+/fVXdOzYsdi6NmzYEN9++y2CgoKQlpaGN9980+gWIwCYOnUqatWqBU9PT0yePBnu7u7o3bu30Y+nolWvXh0AcObMGZw5c6bYsk5OTuUaDE8P3u+jR48WO+tRKc7OzuyiskLa/ejKlSv4/PPP0bhxY+sKOO+//36JYeHQoUMADCdwIUSJybzg/cY8pjgTJ05EVFSU/HdaWhrq1q1b5vVZm6ioKLz00kuYMGEChg0bhqpVq+Kzzz7DW2+9BWdnZzzyyCPyf212dnaYN28epk6divfeew8hISHYvXs3UlNTSzzQAFL315IlSwAANWrUQIsWLRAdHW2wxQ4A3n33XcTHx6Nr166oWrUqXnnlFfTu3Rupqal6Zezs7PDee+/h6tWr8Pb2RmRkpMH1jRs3Dnl5eejevTu2bt2K9u3bF1nX5cuX45VXXkHr1q3h6+uLadOm4Y033ijxNWrNmDEDY8eORVxcHFq2bIlNmzbxQGsiERERuH37Nm7cuFFi2Y4dO8LR0VGBWlVcI0aMgK2tbZFj5ZT2+OOPM+BYoc6dO2PBggW4cuUKAMDd3d2i9dGIUnaWpaSklNiMX79+fXz//feIiooqdEr+6tWrY86cOXjppZcKPe7ChQto0KABjh49itatW8vLe/XqherVq2PlypV65Xfv3o3HH38ct27dkpOjMdLS0uDm5obU1FS4urrq3Xfv3j3Ex8fDz88PTk5ORq+TKo+y7nflwf2SiKj443dBpW7BcXd3NyqVBQcHIzU1VT6vCgAcPHgQqampRf5X7efnBy8vL2zfvl0OONnZ2dizZw8++eST0laViIiIKimztQEGBATgqaeewvDhw3HgwAEcOHAAw4cPR48ePfS6K5o0aYKNGzcCkLqmxo0bh2nTpmHjxo34999/MWTIEFStWhUvvvii/JikpCQcO3YM586dAwAcP34cx44dw82bN831coiIiMiKmPVMxt999x3GjBkjDzDt2bMn5s+fr1fmzJkzeuMt3nrrLWRmZmLkyJG4desW2rZti23btumdWXbx4sV644A6deoEQLoEwZAhQ8z4ioikgdtqmQZJRESGlXoMTkXAMThkbbhfEhGVbgwOh6kTERFRhcOAU4TiLvJHpDTuj0REpcOriRfg4OAAGxsbXL16FbVr14aDgwPPqEkWI4RAdnY2rl+/DhsbG55nh4jISAw4BdjY2MDPzw+JiYm4evWqpatDBEC6Jpmvry9PfkZEZCQGHAMcHBzg6+uLnJwck12TiaisbG1tYWdnx5ZEIqJSYMApgkajgb29Pezt7S1dFSIiIioltncTERFRhcOAQ0RERBUOAw4RERFVOJVyDI725M1paWkWrgkREREZS3vcNuYiDJUy4KSnpwMA6tata+GaEBERUWmlp6fDzc2t2DKV8lpUeXl5uHr1KlxcXCrU1Nu0tDTUrVsXly9fLvEaHaQ8bh/14zZSN24fdVNi+wghkJ6eDh8fnxLPC1YpW3BsbGxQp04dS1fDbFxdXfnhVzFuH/XjNlI3bh91M/f2KanlRouDjImIiKjCYcAhIiKiCocBpwJxdHTElClT4OjoaOmqkAHcPurHbaRu3D7qprbtUykHGRMREVHFxhYcIiIiqnAYcIiIiKjCYcAhIiKiCocBh4iIiCocBhyVe//996HRaPRuXl5e8v1CCLz//vvw8fFBlSpVEBYWhhMnTuitIysrC6NHj4a7uzucnZ3Rs2dP/Pfff0q/lArhjz/+wDPPPAMfHx9oNBr89NNPevebanvcunULAwcOhJubG9zc3DBw4EDcvn3bzK+uYihpGw0ZMqTQZ6pdu3Z6ZbiNzGP69Ol49NFH4eLiAg8PD/Tu3RtnzpzRK8PPkGUZs42s5TPEgGMFmjVrhsTERPl2/Phx+b5PP/0Us2fPxvz583Ho0CF4eXmhS5cu8vW2AGDcuHHYuHEj1qxZg3379iEjIwM9evRAbm6uJV6OVbtz5w5atmyJ+fPnG7zfVNvjxRdfxLFjx7B161Zs3boVx44dw8CBA83++iqCkrYRADz11FN6n6no6Gi9+7mNzGPPnj0YNWoUDhw4gO3btyMnJwfh4eG4c+eOXIafIcsyZhsBVvIZEqRqU6ZMES1btjR4X15envDy8hIzZsyQl927d0+4ubmJxYsXCyGEuH37trC3txdr1qyRy1y5ckXY2NiIrVu3mrXuFR0AsXHjRvlvU22PkydPCgDiwIEDcpmYmBgBQJw+fdrMr6piKbiNhBBi8ODBolevXkU+httIOcnJyQKA2LNnjxCCnyE1KriNhLCezxBbcKxAXFwcfHx84OfnhxdeeAEXLlwAAMTHxyMpKQnh4eFyWUdHR4SGhmL//v0AgCNHjuD+/ft6ZXx8fNC8eXO5DJmGqbZHTEwM3Nzc0LZtW7lMu3bt4Obmxm1mIrt374aHhwcaNWqE4cOHIzk5Wb6P20g5qampAICaNWsC4GdIjQpuIy1r+Awx4Khc27Zt8c033+C3337DkiVLkJSUhPbt2+PGjRtISkoCAHh6euo9xtPTU74vKSkJDg4OqFGjRpFlyDRMtT2SkpLg4eFRaP0eHh7cZibQrVs3fPfdd9i1axdmzZqFQ4cOoXPnzsjKygLAbaQUIQSioqLQsWNHNG/eHAA/Q2pjaBsB1vMZqpRXE7cm3bp1k39/5JFHEBwcjAYNGmDlypXyoC6NRqP3GCFEoWUFGVOGysYU28NQeW4z04iIiJB/b968OYKCglCvXj1s2bIFzz33XJGP4zYyrddeew3//PMP9u3bV+g+fobUoahtZC2fIbbgWBlnZ2c88sgjiIuLk2dTFUy7ycnJ8n9AXl5eyM7Oxq1bt4osQ6Zhqu3h5eWFa9euFVr/9evXuc3MwNvbG/Xq1UNcXBwAbiMljB49Gps2bcLvv/+OOnXqyMv5GVKPoraRIWr9DDHgWJmsrCycOnUK3t7e8PPzg5eXF7Zv3y7fn52djT179qB9+/YAgMDAQNjb2+uVSUxMxL///iuXIdMw1fYIDg5Gamoq/vrrL7nMwYMHkZqaym1mBjdu3MDly5fh7e0NgNvInIQQeO2117Bhwwbs2rULfn5+evfzM2R5JW0jQ1T7GTLJUGUym9dff13s3r1bXLhwQRw4cED06NFDuLi4iIsXLwohhJgxY4Zwc3MTGzZsEMePHxf9+vUT3t7eIi0tTV5HZGSkqFOnjtixY4c4evSo6Ny5s2jZsqXIycmx1MuyWunp6SI2NlbExsYKAGL27NkiNjZWXLp0SQhhuu3x1FNPiRYtWoiYmBgRExMjHnnkEdGjRw/FX681Km4bpaeni9dff13s379fxMfHi99//10EBweLhx56iNtIASNGjBBubm5i9+7dIjExUb7dvXtXLsPPkGWVtI2s6TPEgKNyERERwtvbW9jb2wsfHx/x3HPPiRMnTsj35+XliSlTpggvLy/h6OgoOnXqJI4fP663jszMTPHaa6+JmjVriipVqogePXqIhIQEpV9KhfD7778LAIVugwcPFkKYbnvcuHFD9O/fX7i4uAgXFxfRv39/cevWLYVepXUrbhvdvXtXhIeHi9q1awt7e3vh6+srBg8eXOj95zYyD0PbBYD4+uuv5TL8DFlWSdvImj5DmvwXRERERFRhcAwOERERVTgMOERERFThMOAQERFRhcOAQ0RERBUOAw4RERFVOAw4REREVOEw4BAREVGFw4BDREREFQ4DDhEREVU4DDhERERU4TDgEBERUYXDgENEREQVzv8B9J2NxhaoXB0AAAAASUVORK5CYII=", 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", 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", 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from spectral.io import envi\n", + "import matplotlib.pyplot as plt\n", + "for _key, key in enumerate(report.keys()):\n", + " if _key < 1:\n", + "\n", + " rfl_ds = envi.open(os.path.join(output, f'NIS01_20210403_{key}','output',f'NIS01_20210403_{key}_rfl.hdr'))\n", + " rfl_rgb = rfl_ds.open_memmap(interleave='bip')[:,:,np.array([60,40,30])].copy()\n", + " wl = np.array([float(x) for x in rfl_ds.metadata['wavelength']])\n", + "\n", + " miny = np.min([np.min([i[0],i[1]]) for k,i in report[key].items()])-5\n", + " maxy = np.max([np.max([i[0],i[1]]) for k,i in report[key].items()])+5\n", + " minx = np.min([np.min([i[2],i[3]]) for k,i in report[key].items()])-5\n", + " maxx = np.max([np.max([i[2],i[3]]) for k,i in report[key].items()])+5\n", + "\n", + " plt.figure()\n", + " plt.imshow(rfl_rgb / np.max(rfl_rgb,axis=(0,1)))\n", + " plt.title(f'NIS01_20210403_{key}')\n", + " for k,i in report[key].items():\n", + " plt.plot([i[2]-minx,i[3]-minx,i[3]-minx,i[2]-minx,i[2]-minx],[i[0]-miny,i[0]-miny,i[1]-miny,i[1]-miny,i[0]-miny],label=k)\n", + "\n", + " for k,i in report[key].items():\n", + " plt.figure()\n", + " in_situ_path = str(Path(f'~/.isofit/neon_subset/FieldSpectrometer/{k}01/Data/{k}01_Refl.dat').expanduser())\n", + " in_situ = np.genfromtxt(in_situ_path, skip_header=3)\n", + " plt.plot(in_situ[:,0], in_situ[:,1], label=f'In Situ {k}',c='red',ls='-')\n", + " mean_rfl = np.mean(rfl_ds.open_memmap(interleave='bip')[i[0]-miny:i[1]-miny,i[2]-minx:i[3]-minx,:],axis=(0,1))\n", + " plt.plot(wl, mean_rfl, label=f'Ret. {k}', c='black')\n", + " plt.legend()\n" + ] + }, + { + "cell_type": "markdown", + "id": "85419744-2391-48f0-b6c2-239390d4b994", + "metadata": {}, + "source": [ + "## Per-Pixel Retrievals\n", + "\n", + "This next section is an excercise in running ISOFIT in pixel mode (dynamically from python).\n", + "\n", + "To get started with executing ISOFIT for iterable improvements, ISOFIT is comprised of three primary pieces:\n", + "\n", + "1. The `ForwardModel` object\n", + "2. The `IO` object\n", + "2. The `Inverse` object\n", + "\n", + "There is also an `Isofit` object that holds each of the other three, and is commonly used for more generic runs (it is what is called by apply_oe)." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "f60f1ae9-754b-4c25-bc51-70b792debed7", + "metadata": {}, + "outputs": [], + "source": [ + "from isofit.core.isofit import Isofit\n", + "from isofit.core.fileio import IO\n", + "from isofit.core.forward import ForwardModel\n", + "from isofit.inversion.inverse import Inversion\n", + "from isofit.inversion.inverse_simple import invert_algebraic\n", + "from isofit.configs import configs\n", + "from isofit.core.geometry import Geometry\n", + "\n", + "import os\n", + "import logging\n", + "import numpy as np\n", + "from spectral.io import envi\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "\n", + "# Enable the ISOFIT logger\n", + "logging.getLogger().setLevel(logging.INFO)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "5efac6d4-c9f5-4292-a8e1-739939056ac1", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:2025-07-08,15:50:17 || configs.py:create_new_config() | Loading config file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/config/NIS01_20210403_173647_isofit.json\n", + "INFO:2025-07-08,15:50:17 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/data/wavelengths.txt\n", + "INFO:2025-07-08,15:50:17 || radiative_transfer_engine.py:__init__() | Prebuilt LUT provided\n", + "INFO:2025-07-08,15:50:17 || luts.py:load() | Loading LUT into memory\n", + "WARNING:2025-07-08,15:50:17 || luts.py:load() | thermal_upwelling is fully NaN, leaving as-is\n", + "WARNING:2025-07-08,15:50:17 || luts.py:load() | thermal_downwelling is fully NaN, leaving as-is\n", + "INFO:2025-07-08,15:50:17 || radiative_transfer_engine.py:__init__() | LUT grid loaded from file\n" + ] + } + ], + "source": [ + "# Now run actual retrievals\n", + "config = configs.create_new_config(os.path.join(output, f'NIS01_20210403_{neon_id}','config',f'NIS01_20210403_{neon_id}_isofit.json')) \n", + "config.forward_model.surface.surface_file = str(Path('~/.isofit/examples/20171108_Pasadena/configs/surface.mat').expanduser())\n", + "\n", + "#model = Isofit(os.path.join(output,f'NIS01_20210403_{neon_id}','config',f'NIS01_20210403_{neon_id}_isofit.json'))\n", + "config.input.measured_radiance_file = os.path.join(subset_dir, f'NIS01_20210403_{neon_id}_rdn_ort')\n", + "config.input.obs_file = os.path.join(subset_dir, f'NIS01_20210403_{neon_id}_obs_ort')\n", + "config.input.loc_file = os.path.join(subset_dir, f'NIS01_20210403_{neon_id}_loc_ort')\n", + "\n", + "fm = ForwardModel(config)\n", + "io = IO(config, fm)\n", + "inv = Inversion(config, fm)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "467786f7-35a6-4472-92c5-1fa753da9e3d", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:2025-07-08,15:50:30 || geometry.py:__init__() | Earth sun distance not provided. Proceeding without might cause some inaccuracies down the line\n" + ] + } + ], + "source": [ + "region = 'Veg'\n", + "offsets = {}\n", + "miny = np.min([np.min([i[0],i[1]]) for k,i in report[neon_id].items()])-5\n", + "maxy = np.max([np.max([i[0],i[1]]) for k,i in report[neon_id].items()])+5\n", + "minx = np.min([np.min([i[2],i[3]]) for k,i in report[neon_id].items()])-5\n", + "maxx = np.max([np.max([i[2],i[3]]) for k,i in report[neon_id].items()])+5\n", + "offsets[neon_id] = [minx,miny]\n", + "adj_roi = [roi[region][0] - offsets[neon_id][1], roi[region][1] - offsets[neon_id][1], roi[region][2] - offsets[neon_id][0], roi[region][3] - offsets[neon_id][0]]\n", + "\n", + "rdn = np.mean(envi.open(config.input.measured_radiance_file + '.hdr').open_memmap(interleave='bip')[adj_roi[0]:adj_roi[1],adj_roi[2]:adj_roi[3],:].copy(),axis=(0,1))\n", + "obs = np.mean(envi.open(config.input.obs_file + '.hdr').open_memmap(interleave='bip')[adj_roi[0]:adj_roi[1],adj_roi[2]:adj_roi[3],:].copy(),axis=(0,1))\n", + "loc = np.mean(envi.open(config.input.loc_file + '.hdr').open_memmap(interleave='bip')[adj_roi[0]:adj_roi[1],adj_roi[2]:adj_roi[3],:].copy(),axis=(0,1))\n", + "\n", + "geom = Geometry(obs=obs,loc=loc)\n", + "states = inv.invert(rdn, geom)\n", + "\n", + "x_surface, x_RT, x_instrument = fm.unpack(states[-1,:])\n", + "\n", + "x_alg, coeffs = invert_algebraic(fm.surface, fm.RT, fm.instrument, \n", + " x_surface, x_RT, x_instrument,\n", + " rdn, geom,\n", + " )\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "fdbd8001-530b-497f-a2c8-fdda0a2206d2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(13, 428)\n", + "[0.10742364 0.60519719]\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def closest_wl(mv):\n", + " return np.argmin(np.abs(io.meas_wl-mv))\n", + "\n", + "wl_nan = io.meas_wl.copy()\n", + "wl_nan[closest_wl(1360):closest_wl(1410)] = np.nan\n", + "wl_nan[closest_wl(1800):closest_wl(1970)] = np.nan\n", + "\n", + "fig = plt.figure(figsize=(14,5))\n", + "print(states.shape)\n", + "offset = 0\n", + "for n in range(0,states.shape[0],4):\n", + " lab = f'Step {n}'\n", + " if n == 0:\n", + " lab = 'Algebraic inversion at initial guess'\n", + " \n", + " plt.plot(wl_nan, states[n,:-2] + offset, label=lab)\n", + " offset += 0.04\n", + "plt.plot(wl_nan, states[-1,:-2] + offset, label=f'Step {states.shape[0]}')\n", + "plt.legend()\n", + "\n", + "print(states[-1,-2:])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0e8fcb0f-cd8e-47b9-9146-2e1335afcfd2", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/isotuts/NEON/neon_single_pixel.ipynb b/isofit-tutorials/build/doctrees/nbsphinx/sensor_examples/neon/neon_single_pixel.ipynb similarity index 99% rename from isotuts/NEON/neon_single_pixel.ipynb rename to isofit-tutorials/build/doctrees/nbsphinx/sensor_examples/neon/neon_single_pixel.ipynb index 9e11b7a..069c37b 100644 --- a/isotuts/NEON/neon_single_pixel.ipynb +++ b/isofit-tutorials/build/doctrees/nbsphinx/sensor_examples/neon/neon_single_pixel.ipynb @@ -185,33 +185,13 @@ } ], "source": [ - "def closest_wl(mv):\n", - " return np.argmin(np.abs(io.meas_wl-mv))\n", - "\n", - "wl_nan = io.meas_wl.copy()\n", - "wl_nan[closest_wl(1360):closest_wl(1410)] = np.nan\n", - "wl_nan[closest_wl(1800):closest_wl(1970)] = np.nan\n", - "\n", - "fig = plt.figure(figsize=(14,5))\n", - "print(states.shape)\n", - "offset = 0\n", - "for n in range(0,states.shape[0],4):\n", - " lab = f'Step {n}'\n", - " if n == 0:\n", - " lab = 'Algebraic inversion at initial guess'\n", - " \n", - " plt.plot(wl_nan, states[n,:-2] + offset, label=lab)\n", - " offset += 0.04\n", - "plt.plot(wl_nan, states[-1,:-2] + offset, label=f'Step {states.shape[0]}')\n", - "plt.legend()\n", - "\n", - "print(states[-1,-2:])" + "m" ] } ], "metadata": { "kernelspec": { - "display_name": "isofit_env", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -225,9 +205,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.10.14" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git 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ISOFIT to data collected by the NEON imaging spectrometer.\n" + ] + }, + { + "cell_type": "markdown", + "id": "f81e3c4a-0bef-4cbe-a494-75c8e0d908ca", + "metadata": {}, + "source": [ + "## Full image example\n", + "\n", + "This is an excercise in executing ISOFIT on entire images collected on two dates from the NEON dataset.\n", + "\n", + "Prerequisites:\n", + "- Download sample data from https://avng.jpl.nasa.gov/pub/PBrodrick/isofit/tutorials/subset_data.zip. This dataset was prepped already from the data_prep notebook. Place the dataset into the NEON folder in this repo and unzip it, which will create the 'data' folder which includes the 'subsets' directory.\n", + "- Have a working installation of ISOFIT, with sRTMnet installed and configured (see environment variable specification on the next line)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ed8d9de0-a74a-4e6c-83b2-54f7bc32f593", + "metadata": {}, + "outputs": [], + "source": [ + "import logging\n", + "import os\n", + "from pathlib import Path\n", + "from types import SimpleNamespace\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import scipy\n", + "from spectral.io import envi\n", + "\n", + "import isofit\n", + "from isofit.utils.apply_oe import apply_oe \n", + "from isofit.utils.surface_model import surface_model\n", + "from isofit import ray\n", + "ray.shutdown()\n" + ] + }, + { + "cell_type": "markdown", + "id": "164060bf-3cad-4d58-811f-838158d7d967", + "metadata": {}, + "source": [ + "### Setup\n", + "\n", + "ISOFIT needs at minimum three pieces as input:\n", + "\n", + " 1. Radiance measurements (rdn)\n", + " 2. Observation values (obs)\n", + " 3. Location information (loc)\n", + "\n", + "This sample dataset from NEON has radiance and observation data, but no location values (more recent NEON datasets include the location file). However, we can 'fake' the location file with sufficient accuracy for ISOFIT to run successfully. Note that there are data available for two dates:\n", + "\n", + "```\n", + "Radiance\n", + "├── 173647\n", + "│ ├── NIS01_20210403_173647_obs_ort\n", + "│ ├── NIS01_20210403_173647_obs_ort.hdr\n", + "│ ├── NIS01_20210403_173647_rdn_ort\n", + "│ └── NIS01_20210403_173647_rdn_ort.hdr\n", + "└── 174150\n", + " ├── NIS01_20210403_174150_obs_ort\n", + " ├── NIS01_20210403_174150_obs_ort.hdr\n", + " ├── NIS01_20210403_174150_rdn_ort\n", + " └── NIS01_20210403_174150_rdn_ort.hdr\n", + "```\n", + "\n", + "These files have corresponding in situ data as well, and below we've encoded the locations of each, which we can use to help subset data files.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "7b88339c-ac36-4aab-98b7-2a1dd07ab8a5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data subset directory at: /Users/bgreenbe/.isofit/neon_subset\n", + "Surface model at: /Users/bgreenbe/.isofit/examples/20171108_Pasadena/configs/ang20171108t184227_surface.json\n", + "sRTMnet emulator path (required): /Users/bgreenbe/.isofit/srtmnet/sRTMnet_v120.h5\n", + "6s path (required): /Users/bgreenbe/Github/6sMultiComponentFN/Sixs\n" + ] + } + ], + "source": [ + "# Enable the ISOFIT logger\n", + "logging.getLogger().setLevel(logging.INFO)\n", + "\n", + "# Find where we're running the tutorial from\n", + "home = os.path.abspath(os.getcwd())\n", + "\n", + "# Path to the input NEON data\n", + "subset_dir = str(Path('~/.isofit/neon_subset').expanduser())\n", + "print(f'Data subset directory at: {subset_dir}')\n", + "\n", + "# Path to write isofit output\n", + "output = str(Path('~/.isofit/neon_subset/output').expanduser())\n", + "if os.path.isdir(output) is False:\n", + " os.mkdir(output)\n", + "\n", + "if os.path.isdir(subset_dir) is False:\n", + " os.mkdir(subset_dir)\n", + "\n", + "surface_model_path = str(Path('~/.isofit/examples/20171108_Pasadena/configs/ang20171108t184227_surface.json').expanduser())\n", + "print(f'Surface model at: {surface_model_path}')\n", + "neon_id = '173647'\n", + "\n", + "\n", + "# Optionally set some environment variables as needed\n", + "#os.environ['EMULATOR_PATH'] = '/Users/brodrick/isofit_support/sRTMnet_v120.h5'\n", + "#os.environ['SIXS_DIR'] = '/Users/brodrick/6s/'\n", + "\n", + "print(f'sRTMnet emulator path (required): {os.environ[\"EMULATOR_PATH\"]}')\n", + "print(f'6s path (required): {os.environ[\"SIXS_DIR\"]}')\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "727dcd06-2a38-4020-8a15-b6707b8ed453", + "metadata": {}, + "outputs": [], + "source": [ + "# Extract the image locations of each point of interest (POI)\n", + "# These are defined in the NEON report as pixel locations, so we round here to convert to indices\n", + "report = {}\n", + "report['173647'] = { # Upp L Y | Low R Y | Upp L X | Low R X\n", + " 'WhiteTarp': np.round([2224.9626, 2230.9771, 316.0078, 324.9385,]).astype(int),\n", + " 'BlackTarp': np.round([2224.9626, 2231.0032, 328.0086, 333.9731,]).astype(int),\n", + " 'Veg' : np.round([2245.0381, 2258.8103, 343.9006, 346.9423,]).astype(int),\n", + " 'RoadEW' : np.round([2214.9905, 2216.9978, 348.9902, 373.0080,]).astype(int),\n", + " 'RoadNS' : np.round([2205.9580, 2225.9612, 357.9536, 359.9608,]).astype(int)\n", + "}\n", + "report['174150'] = { # Upp L Y | Low R Y | Upp L X | Low R X\n", + " 'WhiteTarp': np.round([653.9626, 659.9771, 3143.0078, 3151.9385]).astype(int),\n", + " 'BlackTarp': np.round([653.9626, 660.0032, 3155.0086, 3160.9731]).astype(int),\n", + " 'Veg' : np.round([674.0381, 687.8103, 3170.9006, 3173.9423]).astype(int),\n", + " 'RoadEW' : np.round([643.9905, 645.9978, 3175.9902, 3200.0080]).astype(int),\n", + " 'RoadNS' : np.round([634.9580, 654.9612, 3184.9536, 3186.9608]).astype(int)\n", + "}\n", + "# Converts numpy array to comma-separated string for ISOFIT\n", + "toString = lambda array: ', '.join(str(v) for v in array)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a5656147-509e-41f4-9cac-c9b81117c5b2", + "metadata": {}, + "outputs": [], + "source": [ + "# Which NEON date to process - change this to process a different date\n", + "neon_id = list(report.keys())[0]\n", + "\n", + "# Select the locations from the neon id -- roi == Regions of Interest\n", + "roi = report[neon_id]" + ] + }, + { + "cell_type": "markdown", + "id": "e9ec9046-3c9d-47bf-914c-68e67424065f", + "metadata": {}, + "source": [ + "#### Loc file generation\n", + "\n", + "NEON doesn't distribute (?) a loc file, so let's fake one for now. We'll do this for the full file and for the subset." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f5b51ea6-f2ba-4348-9ec9-4a3eadd6c1c0", + "metadata": {}, + "outputs": [], + "source": [ + "def getMetadata(file, remove=['fwhm', 'band names', 'wavelength', 'wavelength units']):\n", + " \"\"\"\n", + " Retrieves the metadata from an envi header\n", + "\n", + " Parameters\n", + " ----------\n", + " rdn: str\n", + " Path to the RDN header file containing metadata\n", + " remove: list, default=['fwhm', 'band names', 'wavelength', 'wavelength units']\n", + " Removes keys from the metadata dictionary\n", + " \"\"\"\n", + " rdn_ds = envi.open(file)\n", + " metadata = rdn_ds.metadata.copy()\n", + " for key in remove:\n", + " if key in metadata:\n", + " del metadata[key]\n", + " else:\n", + " print(f'Key {key!r} not found in the metadata, skipping')\n", + "\n", + " return metadata\n", + "\n", + "def fakeLOC(rdn, lon, lat, elv, output=None, **kwargs):\n", + " \"\"\"\n", + " Creates a fake LOC file\n", + "\n", + " Parameters\n", + " ----------\n", + " rdn: str\n", + " Path to the RDN header file containing metadata\n", + " lon: float\n", + " Longitude value for location\n", + " lat: float\n", + " Latitude value for location\n", + " elv: float\n", + " Elevation in kilometers\n", + " output: str, default=None\n", + " Path to write the LOC file to. If None, will attempt to replace the\n", + " substring 'rdn' in the `rdn` path with `loc`\n", + " **kwargs\n", + " Additional arguments passed to getMetadata()\n", + " \"\"\"\n", + " if not output:\n", + " if 'rdn' in rdn:\n", + " output = rdn.replace('rdn', 'loc')\n", + " else:\n", + " Logger.error('No ouput file specified and cannot generate a unique name')\n", + " return False\n", + "\n", + " metadata = getMetadata(rdn, **kwargs)\n", + " metadata['bands'] = 3\n", + "\n", + " ds = envi.create_image(output, metadata, ext='', force=True)\n", + " loc = ds.open_memmap(interleave='bip', writable=True)\n", + "\n", + " loc[..., 0] = lon\n", + " loc[..., 1] = lat\n", + " loc[..., 2] = elv\n", + "\n", + " del ds, loc\n", + "\n", + "def fakeOBS(rdn, param0=0, sea=0, sez=0, soa=0, soz=0, phase=0, slope=0, aspect=0, cosi=0, param9=0, param10=0, output=None, **kwargs):\n", + " \"\"\"\n", + " Creates a fake OBS file\n", + "\n", + " Parameters\n", + " ----------\n", + " rdn: str\n", + " Path to the RDN file containing metadata\n", + " param0: int, float, default=0\n", + " Parameter 0\n", + " sea: int, float, default=0\n", + " Solar Azimuth\n", + " sez: int, float, default=0\n", + " Sensor Zenith\n", + " soa: int, float, default=0\n", + " Solar Azimuth\n", + " soz: int, float, default=0\n", + " Solar Zenith\n", + " phase: int, float, default=0\n", + " Phase\n", + " slope: int, float, default=0\n", + " Slope\n", + " aspect: int, float, default=0\n", + " Aspect\n", + " cosi: int, float, default=0\n", + " COS(i)\n", + " param9: int, float, default=0\n", + " Parameter 9\n", + " param10: int, float, default=0\n", + " Parameter 10\n", + " output: str, default=None\n", + " Path to write the OBS file to. If None, will attempt to replace the\n", + " substring 'rdn' in the `rdn` path with `obs`\n", + " **kwargs\n", + " Additional arguments passed to getMetadata()\n", + " \"\"\"\n", + " if not output:\n", + " if 'rdn' in rdn:\n", + " output = rdn.replace('rdn', 'loc')\n", + " else:\n", + " print('No ouput file specified and cannot generate a unique name')\n", + " return False\n", + "\n", + " rdn_ds = envi.open(rdn)\n", + " metadata = getMetadata(rdn, **kwargs)\n", + " metadata['bands'] = 11\n", + "\n", + " ds = envi.create_image(output, metadata, ext='', force=True)\n", + " obs = ds.open_memmap(interleave='bip', writable=True)\n", + "\n", + " obs[..., 0] = param0\n", + " obs[..., 1] = sea\n", + " obs[..., 2] = sez\n", + " obs[..., 3] = soa\n", + " obs[..., 4] = soz\n", + " obs[..., 5] = phase\n", + " obs[..., 6] = slope\n", + " obs[..., 7] = aspect\n", + " obs[..., 8] = cosi\n", + " obs[..., 9] = param9\n", + " obs[..., 10] = param10\n", + "\n", + " del ds, obs\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bac7ba6b-1c0e-41b7-97e0-d9e137a9e217", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Key 'band names' not found in the metadata, skipping\n" + ] + } + ], + "source": [ + "fakeLOC(\n", + " rdn = os.path.join(subset_dir, f'NIS01_20210403_{neon_id}_rdn_ort.hdr'),\n", + " lon = -105.237000,\n", + " lat = 40.125000,\n", + " elv = 1689.0\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "83bf8ace-3e19-4674-86df-d2f46e220a32", + "metadata": {}, + "source": [ + "#### Apply OE\n", + "\n", + "The next part walks through running the ISOFIT utility script `isofit/utils/apply_oe.py`. This is the first step of executing ISOFIT and will generate a default configuration." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "d0ec94f8-b1e7-4e4d-9b8f-450134ca5a83", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "1 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "2 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "3 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "4 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "5 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "6 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n", + "7 ['/Users/bgreenbe/.isofit/data/reflectance/surface_model_ucsb']\n" + ] + } + ], + "source": [ + "output_surface_file = str(Path('~/.isofit/examples/20171108_Pasadena/configs/surface.mat').expanduser())\n", + "surface_model(**{\n", + " 'config_path': surface_model_path,\n", + " 'output_path': output_surface_file,\n", + " 'wavelength_path': os.path.join(subset_dir,f'NIS01_20210403_{neon_id}_rdn_ort.hdr')\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "3cbe6f39-6d6f-4182-abfb-30e95ce49ede", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Checking input data files...\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | ...Data file checks complete\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Setting up files and directories....\n", + "INFO:2025-07-08,15:20:08 || template_construction.py:__init__() | Flightline ID: NIS01_20210403_173647\n", + "INFO:2025-07-08,15:20:08 || template_construction.py:__init__() | no noise path found, proceeding without\n", + "INFO:2025-07-08,15:20:08 || template_construction.py:stage_files() | Staging /Users/bgreenbe/.isofit/examples/20171108_Pasadena/configs/surface.mat to /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/data/surface.mat\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | ...file/directory setup complete\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Using inversion windows: [[350.0, 1360.0], [1410, 1800.0], [1970.0, 2500.0]]\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | No wavelength file provided. Obtaining wavelength grid from ENVI header of radiance cube.\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Wavelength units of nm inferred...converting to microns\n", + "WARNING:2025-07-08,15:20:08 || template_construction.py:check_surface_model() | Center wavelengths provided in surface model file do not match wavelengths in radiance cube. Please consider rebuilding your surface model for optimal performance.\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Observation means:\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Path (km): 1.0036078691482544\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | To-sensor azimuth (deg): 153.4481201171875\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | To-sensor zenith (deg): 1.619314193725586\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | To-sun azimuth (deg): 145.23248291015625\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | To-sun zenith (deg): 39.8218994140625\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Relative to-sun azimuth (deg): 31.813383102416992\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Altitude (km): 2.692207098007202\n", + "INFO:2025-07-08,15:20:08 || apply_oe.py:apply_oe() | Segmenting...\n", + "2025-07-08 15:20:10,698\tINFO worker.py:1917 -- Started a local Ray instance.\n", + "\u001b[36m(segment_chunk pid=17119)\u001b[0m INFO:2025-07-08,15:20:11 ||| 0: starting\n", + "INFO:2025-07-08,15:20:11 || apply_oe.py:apply_oe() | Extracting /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/input/NIS01_20210403_173647_subs_rdn\n", + "2025-07-08 15:20:11,728\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "INFO:2025-07-08,15:20:11 || apply_oe.py:apply_oe() | Extracting /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/input/NIS01_20210403_173647_subs_obs\n", + "\u001b[36m(segment_chunk pid=17119)\u001b[0m INFO:2025-07-08,15:20:11 ||| 0: completing\n", + "2025-07-08 15:20:11,781\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "\u001b[36m(extract_chunk pid=17119)\u001b[0m INFO:2025-07-08,15:20:11 ||| 0: starting\n", + "INFO:2025-07-08,15:20:11 || apply_oe.py:apply_oe() | Extracting /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/input/NIS01_20210403_173647_subs_loc\n", + "2025-07-08 15:20:11,825\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "INFO:2025-07-08,15:20:11 || apply_oe.py:apply_oe() | Pre-solve H2O grid: [0.2 0.84 1.49 2.13 2.77 3.42 4.06 4.7 5.35 5.99]\n", + "INFO:2025-07-08,15:20:11 || apply_oe.py:apply_oe() | Writing H2O pre-solve configuration file.\n", + "INFO:2025-07-08,15:20:11 || ini.py:toTemplate() | Saved converted json to: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/config/NIS01_20210403_173647_h2o.json.tmpl\n", + "INFO:2025-07-08,15:20:11 || apply_oe.py:apply_oe() | Run ISOFIT initial guess\n", + "INFO:2025-07-08,15:20:11 || configs.py:create_new_config() | Loading config file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/config/NIS01_20210403_173647_h2o.json\n", + "INFO:2025-07-08,15:20:11 || configs.py:get_config_errors() | Checking config sections for configuration issues\n", + "INFO:2025-07-08,15:20:11 || configs.py:get_config_errors() | Configuration file checks complete, no errors found.\n", + "\u001b[36m(extract_chunk pid=17119)\u001b[0m INFO:2025-07-08,15:20:11 ||| 0: starting\n", + "2025-07-08 15:20:11,882\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "INFO:2025-07-08,15:20:11 || isofit.py:run() | Building first forward model, will generate any necessary LUTs\n", + "\u001b[36m(extract_chunk pid=17119)\u001b[0m INFO:2025-07-08,15:20:11 ||| 0: starting\n", + "INFO:2025-07-08,15:20:11 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/data/wavelengths.txt\n", + "INFO:2025-07-08,15:20:11 || radiative_transfer_engine.py:__init__() | No LUT store found, beginning initialization and simulations\n", + "INFO:2025-07-08,15:20:11 || radiative_transfer_engine.py:__init__() | Initializing LUT file\n", + "INFO:2025-07-08,15:20:11 || radiative_transfer_engine.py:runSimulations() | Running any pre-sim functions\n", + "INFO:2025-07-08,15:20:11 || sRTMnet.py:preSim() | Creating a simulator configuration\n", + "INFO:2025-07-08,15:20:11 || sRTMnet.py:preSim() | Building simulator and executing (6S)\n", + "INFO:2025-07-08,15:20:11 || radiative_transfer_engine.py:__init__() | No LUT store found, beginning initialization and simulations\n", + "INFO:2025-07-08,15:20:11 || radiative_transfer_engine.py:__init__() | Initializing LUT file\n", + "INFO:2025-07-08,15:20:12 || radiative_transfer_engine.py:runSimulations() | Running any pre-sim functions\n", + "INFO:2025-07-08,15:20:12 || radiative_transfer_engine.py:runSimulations() | Executing parallel simulations\n", + "\u001b[36m(streamSimulation pid=17119)\u001b[0m INFO:2025-07-08,15:20:12 ||| Loaded ini from: /Users/bgreenbe/.isofit/isofit.ini\n", + "INFO:2025-07-08,15:20:14 || common.py:__call__() | 20.00% simulations complete (elapsed: 0:00:02.100901, rate: 0:00:00.210090, eta: 0:00:18.908109)\n", + "INFO:2025-07-08,15:20:14 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:14 || common.py:__call__() | 30.00% simulations complete (elapsed: 0:00:02.151416, rate: 0:00:00.215142, eta: 0:00:08.605664)\n", + "INFO:2025-07-08,15:20:14 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:14 || common.py:__call__() | 40.00% simulations complete (elapsed: 0:00:02.198190, rate: 0:00:00.219819, eta: 0:00:05.129110)\n", + "INFO:2025-07-08,15:20:14 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:14 || common.py:__call__() | 50.00% simulations complete (elapsed: 0:00:02.768149, rate: 0:00:00.276815, eta: 0:00:04.152223)\n", + "INFO:2025-07-08,15:20:14 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:15 || common.py:__call__() | 60.00% simulations complete (elapsed: 0:00:03.296599, rate: 0:00:00.329660, eta: 0:00:03.296599)\n", + "INFO:2025-07-08,15:20:15 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:15 || common.py:__call__() | 70.00% simulations complete (elapsed: 0:00:03.347710, rate: 0:00:00.334771, eta: 0:00:02.231807)\n", + "INFO:2025-07-08,15:20:15 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:15 || common.py:__call__() | 80.00% simulations complete (elapsed: 0:00:03.396394, rate: 0:00:00.339639, eta: 0:00:01.455597)\n", + "INFO:2025-07-08,15:20:15 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:15 || common.py:__call__() | 90.00% simulations complete (elapsed: 0:00:03.946926, rate: 0:00:00.394693, eta: 0:00:00.986732)\n", + "INFO:2025-07-08,15:20:15 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:16 || common.py:__call__() | 100.00% simulations complete (elapsed: 0:00:04.459773, rate: 0:00:00.445977, eta: 0:00:00.495530)\n", + "INFO:2025-07-08,15:20:16 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:16 || radiative_transfer_engine.py:runSimulations() | Running any post-sim functions\n", + "INFO:2025-07-08,15:20:16 || radiative_transfer_engine.py:runSimulations() | Saving post-sim data to index zero of all dimensions except wl\n", + "INFO:2025-07-08,15:20:16 || luts.py:load() | Loading LUT into memory\n", + "WARNING:2025-07-08,15:20:16 || luts.py:load() | thermal_upwelling is fully NaN, leaving as-is\n", + "WARNING:2025-07-08,15:20:16 || luts.py:load() | thermal_downwelling is fully NaN, leaving as-is\n", + "INFO:2025-07-08,15:20:16 || sRTMnet.py:preSim() | Interpolating simulator quantities to emulator size\n", + "INFO:2025-07-08,15:20:16 || sRTMnet.py:preSim() | Loading and predicting with emulator\n", + "INFO:2025-07-08,15:20:17 || sRTMnet.py:preSim() | Saving intermediary prediction results to: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/lut_h2o/sRTMnet.predicts.nc\n", + "INFO:2025-07-08,15:20:17 || radiative_transfer_engine.py:runSimulations() | Saving pre-sim data to index zero of all dimensions except wl\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Executing parallel simulations\n", + "\u001b[36m(streamSimulation pid=17119)\u001b[0m INFO:2025-07-08,15:20:18 ||| Loading LUT into memory\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 20.00% simulations complete (elapsed: 0:00:00.133107, rate: 0:00:00.013311, eta: 0:00:01.197963)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 30.00% simulations complete (elapsed: 0:00:00.190843, rate: 0:00:00.019084, eta: 0:00:00.763372)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "\u001b[36m(streamSimulation pid=17119)\u001b[0m INFO:2025-07-08,15:20:18 ||| Loading LUT into memory\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 40.00% simulations complete (elapsed: 0:00:00.242991, rate: 0:00:00.024299, eta: 0:00:00.566979)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 50.00% simulations complete (elapsed: 0:00:00.291772, rate: 0:00:00.029177, eta: 0:00:00.437658)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 60.00% simulations complete (elapsed: 0:00:00.343262, rate: 0:00:00.034326, eta: 0:00:00.343262)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 70.00% simulations complete (elapsed: 0:00:00.392020, rate: 0:00:00.039202, eta: 0:00:00.261347)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 80.00% simulations complete (elapsed: 0:00:00.437945, rate: 0:00:00.043794, eta: 0:00:00.187691)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 90.00% simulations complete (elapsed: 0:00:00.481330, rate: 0:00:00.048133, eta: 0:00:00.120332)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || common.py:__call__() | 100.00% simulations complete (elapsed: 0:00:00.522997, rate: 0:00:00.052300, eta: 0:00:00.058111)\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:20:18 || radiative_transfer_engine.py:runSimulations() | Running any post-sim functions\n", + "INFO:2025-07-08,15:20:18 || luts.py:load() | Loading LUT into memory\n", + "WARNING:2025-07-08,15:20:18 || luts.py:load() | thermal_upwelling is fully NaN, leaving as-is\n", + "WARNING:2025-07-08,15:20:18 || luts.py:load() | thermal_downwelling is fully NaN, leaving as-is\n", + "INFO:2025-07-08,15:20:18 || isofit.py:run() | Beginning 420 inversions in 40 chunks using 4 cores\n", + "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", + "I0000 00:00:1752013219.280426 2663633 chttp2_transport.cc:1182] ipv4:127.0.0.1:64327: Got goaway [2] err=UNAVAILABLE:GOAWAY received; Error code: 2; Debug Text: Cancelling all calls {grpc_status:14, http2_error:2, created_time:\"2025-07-08T15:20:19.280425-07:00\", file_line:1171, file:\"external/com_github_grpc_grpc/src/core/ext/transport/chttp2/transport/chttp2_transport.cc\"}\n", + "\u001b[36m(Worker pid=17157)\u001b[0m INFO:2025-07-08,15:20:20 ||| Worker 0 completed 1/~105.0:: 0.95% complete\n", + "\u001b[36m(Worker pid=17157)\u001b[0m INFO:2025-07-08,15:20:23 ||| Worker at start location (42,0) completed 10/11\n", + "\u001b[36m(Worker pid=17158)\u001b[0m INFO:2025-07-08,15:20:24 ||| Worker 3 completed 11/~105.0:: 10.48% complete\u001b[32m [repeated 7x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)\u001b[0m\n", + "\u001b[36m(Worker pid=17159)\u001b[0m INFO:2025-07-08,15:20:29 ||| Worker at start location (95,0) completed 9/10\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17158)\u001b[0m INFO:2025-07-08,15:20:31 ||| Worker 3 completed 33/~105.0:: 31.43% complete\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17157)\u001b[0m INFO:2025-07-08,15:20:36 ||| Worker at start location (192,0) completed 9/10\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17158)\u001b[0m INFO:2025-07-08,15:20:37 ||| Worker 3 completed 55/~105.0:: 52.38% complete\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17159)\u001b[0m INFO:2025-07-08,15:20:43 ||| Worker at start location (268,0) completed 10/11\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17158)\u001b[0m INFO:2025-07-08,15:20:44 ||| Worker 3 completed 77/~105.0:: 73.33% complete\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17158)\u001b[0m INFO:2025-07-08,15:20:47 ||| Worker at start location (343,0) completed 10/11\u001b[32m [repeated 7x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17158)\u001b[0m INFO:2025-07-08,15:20:48 ||| Worker 3 completed 88/~105.0:: 83.81% complete\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17160)\u001b[0m INFO:2025-07-08,15:20:53 ||| Worker at start location (397,0) completed 10/11\u001b[32m [repeated 5x across cluster]\u001b[0m\n", + "INFO:2025-07-08,15:20:53 || isofit.py:run() | Inversions complete. 34.78s total, 12.0769 spectra/s, 3.0192 spectra/s/core\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | Full (non-aerosol) LUTs:\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | Elevation: None\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | To-sensor zenith: [0.9608 2.9675]\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | To-sun zenith: None\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | Relative to-sun azimuth: [3.80000e-03 4.12002e+01 8.23965e+01]\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | H2O Vapor: [0.6025 0.6627]\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/output/NIS01_20210403_173647_subs_state\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | Writing main configuration file.\n", + "INFO:2025-07-08,15:20:53 || template_construction.py:load_climatology() | Loading Climatology\n", + "INFO:2025-07-08,15:20:53 || template_construction.py:load_climatology() | Climatology Loaded. Aerosol State Vector:\n", + "{'AOT550': {'bounds': [0.001, 1.0], 'scale': 1, 'init': 0.1009, 'prior_sigma': 10.0, 'prior_mean': 0.1009}}\n", + "Aerosol LUT Grid:\n", + "{'AOT550': [0.001, 0.1009, 0.2008, 0.3007, 0.4006, 0.5005, 0.6004, 0.7003, 0.8002, 0.9001, 1.0]}\n", + "Aerosol model path:/Users/bgreenbe/.isofit/data/aerosol_model.txt\n", + "INFO:2025-07-08,15:20:53 || ini.py:toTemplate() | Saved converted json to: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/config/NIS01_20210403_173647_isofit.json.tmpl\n", + "INFO:2025-07-08,15:20:53 || apply_oe.py:apply_oe() | Running ISOFIT with full LUT\n", + "INFO:2025-07-08,15:20:53 || configs.py:create_new_config() | Loading config file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/config/NIS01_20210403_173647_isofit.json\n", + "INFO:2025-07-08,15:20:53 || configs.py:get_config_errors() | Checking config sections for configuration issues\n", + "INFO:2025-07-08,15:20:53 || configs.py:get_config_errors() | Configuration file checks complete, no errors found.\n", + "2025-07-08 15:20:53,541\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "INFO:2025-07-08,15:20:53 || isofit.py:run() | Building first forward model, will generate any necessary LUTs\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/data/wavelengths.txt\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:__init__() | No LUT store found, beginning initialization and simulations\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:__init__() | Initializing LUT file\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:runSimulations() | Running any pre-sim functions\n", + "INFO:2025-07-08,15:20:53 || sRTMnet.py:preSim() | Creating a simulator configuration\n", + "INFO:2025-07-08,15:20:53 || sRTMnet.py:preSim() | Building simulator and executing (6S)\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:__init__() | No LUT store found, beginning initialization and simulations\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:__init__() | Initializing LUT file\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:runSimulations() | Running any pre-sim functions\n", + "INFO:2025-07-08,15:20:53 || radiative_transfer_engine.py:runSimulations() | Executing parallel simulations\n", + "INFO:2025-07-08,15:20:59 || common.py:__call__() | 10.61% simulations complete (elapsed: 0:00:06.067500, rate: 0:00:00.045966, eta: 0:00:54.607500)\n", + "INFO:2025-07-08,15:20:59 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:03 || common.py:__call__() | 20.45% simulations complete (elapsed: 0:00:10.271446, rate: 0:00:00.077814, eta: 0:00:41.085784)\n", + "INFO:2025-07-08,15:21:03 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:08 || common.py:__call__() | 30.30% simulations complete (elapsed: 0:00:14.459419, rate: 0:00:00.109541, eta: 0:00:33.738644)\n", + "INFO:2025-07-08,15:21:08 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:13 || common.py:__call__() | 40.15% simulations complete (elapsed: 0:00:19.976911, rate: 0:00:00.151340, eta: 0:00:29.965367)\n", + "INFO:2025-07-08,15:21:13 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:17 || common.py:__call__() | 50.00% simulations complete (elapsed: 0:00:24.268372, rate: 0:00:00.183851, eta: 0:00:24.268372)\n", + "INFO:2025-07-08,15:21:17 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:21 || common.py:__call__() | 60.61% simulations complete (elapsed: 0:00:28.106960, rate: 0:00:00.212932, eta: 0:00:18.737973)\n", + "INFO:2025-07-08,15:21:21 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:27 || common.py:__call__() | 70.45% simulations complete (elapsed: 0:00:33.346920, rate: 0:00:00.252628, eta: 0:00:14.291537)\n", + "INFO:2025-07-08,15:21:27 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:31 || common.py:__call__() | 80.30% simulations complete (elapsed: 0:00:37.560121, rate: 0:00:00.284546, eta: 0:00:09.390030)\n", + "INFO:2025-07-08,15:21:31 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:35 || common.py:__call__() | 90.15% simulations complete (elapsed: 0:00:42.008716, rate: 0:00:00.318248, eta: 0:00:04.667635)\n", + "INFO:2025-07-08,15:21:35 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:40 || common.py:__call__() | 100.00% simulations complete (elapsed: 0:00:46.415069, rate: 0:00:00.351629, eta: 0:00:00)\n", + "INFO:2025-07-08,15:21:40 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:40 || radiative_transfer_engine.py:runSimulations() | Running any post-sim functions\n", + "INFO:2025-07-08,15:21:40 || radiative_transfer_engine.py:runSimulations() | Saving post-sim data to index zero of all dimensions except wl\n", + "INFO:2025-07-08,15:21:40 || luts.py:load() | Loading LUT into memory\n", + "WARNING:2025-07-08,15:21:40 || luts.py:load() | thermal_upwelling is fully NaN, leaving as-is\n", + "WARNING:2025-07-08,15:21:40 || luts.py:load() | thermal_downwelling is fully NaN, leaving as-is\n", + "INFO:2025-07-08,15:21:40 || sRTMnet.py:preSim() | Interpolating simulator quantities to emulator size\n", + "INFO:2025-07-08,15:21:40 || sRTMnet.py:preSim() | Loading and predicting with emulator\n", + "INFO:2025-07-08,15:21:43 || sRTMnet.py:preSim() | Saving intermediary prediction results to: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/lut_full/sRTMnet.predicts.nc\n", + "INFO:2025-07-08,15:21:43 || radiative_transfer_engine.py:runSimulations() | Saving pre-sim data to index zero of all dimensions except wl\n", + "INFO:2025-07-08,15:21:43 || radiative_transfer_engine.py:runSimulations() | Executing parallel simulations\n", + "INFO:2025-07-08,15:21:43 || common.py:__call__() | 10.61% simulations complete (elapsed: 0:00:00.286329, rate: 0:00:00.002169, eta: 0:00:02.576961)\n", + "INFO:2025-07-08,15:21:43 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:44 || common.py:__call__() | 20.45% simulations complete (elapsed: 0:00:00.443106, rate: 0:00:00.003357, eta: 0:00:01.772424)\n", + "INFO:2025-07-08,15:21:44 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:44 || common.py:__call__() | 30.30% simulations complete (elapsed: 0:00:00.603308, rate: 0:00:00.004571, eta: 0:00:01.407719)\n", + "INFO:2025-07-08,15:21:44 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:44 || common.py:__call__() | 40.15% simulations complete (elapsed: 0:00:00.810682, rate: 0:00:00.006142, eta: 0:00:01.216023)\n", + "INFO:2025-07-08,15:21:44 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:44 || common.py:__call__() | 50.00% simulations complete (elapsed: 0:00:00.967955, rate: 0:00:00.007333, eta: 0:00:00.967955)\n", + "INFO:2025-07-08,15:21:44 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:44 || common.py:__call__() | 60.61% simulations complete (elapsed: 0:00:01.137875, rate: 0:00:00.008620, eta: 0:00:00.758583)\n", + "INFO:2025-07-08,15:21:44 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:45 || common.py:__call__() | 70.45% simulations complete (elapsed: 0:00:01.338172, rate: 0:00:00.010138, eta: 0:00:00.573502)\n", + "INFO:2025-07-08,15:21:45 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:45 || common.py:__call__() | 80.30% simulations complete (elapsed: 0:00:01.500123, rate: 0:00:00.011365, eta: 0:00:00.375031)\n", + "INFO:2025-07-08,15:21:45 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:45 || common.py:__call__() | 90.15% simulations complete (elapsed: 0:00:01.657305, rate: 0:00:00.012555, eta: 0:00:00.184145)\n", + "INFO:2025-07-08,15:21:45 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:45 || common.py:__call__() | 100.00% simulations complete (elapsed: 0:00:01.823216, rate: 0:00:00.013812, eta: 0:00:00)\n", + "INFO:2025-07-08,15:21:45 || radiative_transfer_engine.py:runSimulations() | Flushing netCDF to disk\n", + "INFO:2025-07-08,15:21:45 || radiative_transfer_engine.py:runSimulations() | Running any post-sim functions\n", + "INFO:2025-07-08,15:21:45 || luts.py:load() | Loading LUT into memory\n", + "WARNING:2025-07-08,15:21:45 || luts.py:load() | thermal_upwelling is fully NaN, leaving as-is\n", + "WARNING:2025-07-08,15:21:45 || luts.py:load() | thermal_downwelling is fully NaN, leaving as-is\n", + "INFO:2025-07-08,15:21:45 || isofit.py:run() | Beginning 420 inversions in 40 chunks using 4 cores\n", + "I0000 00:00:1752013306.660474 2663633 chttp2_transport.cc:1182] ipv4:127.0.0.1:64423: Got goaway [2] err=UNAVAILABLE:GOAWAY received; Error code: 2; Debug Text: Cancelling all calls {file:\"external/com_github_grpc_grpc/src/core/ext/transport/chttp2/transport/chttp2_transport.cc\", file_line:1171, created_time:\"2025-07-08T15:21:46.660474-07:00\", http2_error:2, grpc_status:14}\n", + "I0000 00:00:1752013306.660734 2663633 chttp2_transport.cc:1182] ipv4:127.0.0.1:64428: Got goaway [2] err=UNAVAILABLE:GOAWAY received; Error code: 2; Debug Text: Cancelling all calls {grpc_status:14, http2_error:2, created_time:\"2025-07-08T15:21:46.660733-07:00\", file_line:1171, file:\"external/com_github_grpc_grpc/src/core/ext/transport/chttp2/transport/chttp2_transport.cc\"}\n", + "\u001b[36m(Worker pid=17536)\u001b[0m ERROR:2025-07-08,15:21:47 ||| \n", + "\u001b[36m(Worker pid=17536)\u001b[0m Encountered the following ValueError in (row,col) (32,0).\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Results for this pixel will be all zeros.\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m Traceback (most recent call last):\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\n", + "\u001b[36m(Worker pid=17536)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\n", + "\u001b[36m(Worker pid=17536)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\n", + "\u001b[36m(Worker pid=17536)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\n", + "\u001b[36m(Worker pid=17536)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:21:47 ||| Worker 0 completed 1/~105.0:: 0.95% complete\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17159)\u001b[0m INFO:2025-07-08,15:20:53 ||| Worker at start location (408,0) completed 10/11\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m ERROR:2025-07-08,15:21:52 ||| \u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Encountered the following ValueError in (row,col) (27,0).\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:21:47 ||| Worker 1 completed 1/~105.0:: 0.95% complete\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:21:55 ||| Worker at start location (9,0) completed 9/10\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:21:58 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (55,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:21:57 ||| Worker 1 completed 12/~105.0:: 11.43% complete\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:21:56 ||| Worker at start location (31,0) completed 10/11\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:22:03 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (61,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:03 ||| Worker 3 completed 21/~105.0:: 20.0% complete\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:22:05 ||| Worker at start location (85,0) completed 10/11\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:22:08 ||| \u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (99,0).\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:22:06 ||| Worker 0 completed 23/~105.0:: 21.9% complete\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:11 ||| Worker at start location (95,0) completed 9/10\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:22:13 ||| \u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (105,0).\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:12 ||| Worker 3 completed 31/~105.0:: 29.52% complete\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:15 ||| Worker 2 completed 34/~105.0:: 32.38% complete\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:22:14 ||| Worker at start location (117,0) completed 10/11\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m ERROR:2025-07-08,15:22:18 ||| \u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Encountered the following ValueError in (row,col) (166,0).\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 27x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:22:15 ||| Worker 0 completed 34/~105.0:: 32.38% complete\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:20 ||| Worker at start location (139,0) completed 10/11\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:22:22 ||| Worker at start location (149,0) completed 9/10\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m ERROR:2025-07-08,15:22:23 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Encountered the following ValueError in (row,col) (193,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:24 ||| Worker 2 completed 45/~105.0:: 42.86% complete\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:23 ||| Worker at start location (160,0) completed 10/11\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:22:28 ||| \u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (210,0).\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:30 ||| Worker 3 completed 53/~105.0:: 50.48% complete\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:22:30 ||| Worker 1 completed 54/~105.0:: 51.43% complete\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:32 ||| Worker at start location (214,0) completed 10/11\u001b[32m [repeated 4x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m ERROR:2025-07-08,15:22:33 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Encountered the following ValueError in (row,col) (230,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:32 ||| Worker 2 completed 56/~105.0:: 53.33% complete\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:22:37 ||| Worker at start location (235,0) completed 9/10\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:38 ||| Worker at start location (225,0) completed 10/11\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m ERROR:2025-07-08,15:22:39 ||| \u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Encountered the following ValueError in (row,col) (269,0).\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:39 ||| Worker 3 completed 64/~105.0:: 60.95% complete\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:41 ||| Worker at start location (257,0) completed 10/11\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m ERROR:2025-07-08,15:22:44 ||| \u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Encountered the following ValueError in (row,col) (275,0).\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 24x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:41 ||| Worker 2 completed 67/~105.0:: 63.81% complete\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:22:47 ||| Worker at start location (279,0) completed 10/11\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m ERROR:2025-07-08,15:22:49 ||| \u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Encountered the following ValueError in (row,col) (303,0).\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 26x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:22:49 ||| Worker 0 completed 77/~105.0:: 73.33% complete\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:50 ||| Worker at start location (300,0) completed 10/11\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m ERROR:2025-07-08,15:22:55 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Encountered the following ValueError in (row,col) (320,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:50 ||| Worker 2 completed 78/~105.0:: 74.29% complete\n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:22:57 ||| Worker 1 completed 86/~105.0:: 81.9% complete\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:22:58 ||| Worker at start location (332,0) completed 9/10\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:23:00 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (376,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:23:00 ||| Worker 2 completed 89/~105.0:: 84.76% complete\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:22:59 ||| Worker at start location (343,0) completed 10/11\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m ERROR:2025-07-08,15:23:05 ||| \u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Encountered the following ValueError in (row,col) (383,0).\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 25x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m INFO:2025-07-08,15:23:05 ||| Worker at start location (354,0) completed 10/11\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m INFO:2025-07-08,15:23:06 ||| Worker 3 completed 97/~105.0:: 92.38% complete\u001b[32m [repeated 2x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17537)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m ERROR:2025-07-08,15:23:10 ||| \u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Encountered the following ValueError in (row,col) (412,0).\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 21x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17537)\u001b[0m INFO:2025-07-08,15:23:08 ||| Worker at start location (386,0) completed 10/11\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:23:07 ||| Worker 0 completed 97/~105.0:: 92.38% complete\n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17535)\u001b[0m \n", + "\u001b[36m(Worker pid=17538)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "INFO:2025-07-08,15:23:16 || isofit.py:run() | Inversions complete. 91.06s total, 4.6123 spectra/s, 1.1531 spectra/s/core\n", + "INFO:2025-07-08,15:23:16 || apply_oe.py:apply_oe() | Analytical line inference\n", + "INFO:2025-07-08,15:23:16 || configs.py:create_new_config() | Loading config file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/config/NIS01_20210403_173647_isofit.json\n", + "INFO:2025-07-08,15:23:16 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/bgreenbe/.isofit/neon_subset/output/NIS01_20210403_173647/data/wavelengths.txt\n", + "INFO:2025-07-08,15:23:16 || radiative_transfer_engine.py:__init__() | Prebuilt LUT provided\n", + "INFO:2025-07-08,15:23:16 || luts.py:load() | Loading LUT into memory\n", + "\u001b[36m(Worker pid=17536)\u001b[0m \n", + "\u001b[36m(Worker pid=17536)\u001b[0m ERROR:2025-07-08,15:23:16 ||| \u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Encountered the following ValueError in (row,col) (419,0).\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Results for this pixel will be all zeros.\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m Traceback (most recent call last):\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/isofit.py\", line 263, in run_set_of_spectra\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m self.io.write_spectrum(row, col, states, self.fm, self.iv)\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 747, in write_spectrum\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m to_write = self.build_output(states, self.current_input_data, fm, iv)\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m File \"/Users/bgreenbe/Github/isofit/isofit/core/fileio.py\", line 684, in build_output\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m rfl_alg_opt, Ls, coeffs = invert_algebraic(\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m ValueError: not enough values to unpack (expected 3, got 2)\u001b[32m [repeated 19x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17536)\u001b[0m INFO:2025-07-08,15:23:16 ||| Worker at start location (419,0) completed 10/11\u001b[32m [repeated 3x across cluster]\u001b[0m\n", + "WARNING:2025-07-08,15:23:16 || luts.py:load() | thermal_upwelling is fully NaN, leaving as-is\n", + "WARNING:2025-07-08,15:23:16 || luts.py:load() | thermal_downwelling is fully NaN, leaving as-is\n", + "INFO:2025-07-08,15:23:16 || radiative_transfer_engine.py:__init__() | LUT grid loaded from file\n", + "2025-07-08 15:23:17,031\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "INFO:2025-07-08,15:23:17 || atm_interpolation.py:atm_interpolation() | Beginning atmospheric interpolation 4 cores\n", + "INFO:2025-07-08,15:23:18 || atm_interpolation.py:atm_interpolation() | Parallel atmospheric interpolations complete. 1.3430540561676025 s total, 3142.8370143526467 spectra/s, 785.7092535881617 spectra/s/core\n", + "2025-07-08 15:23:18,445\tINFO worker.py:1747 -- Calling ray.init() again after it has already been called.\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:22 ||| Analytical line writing line 4\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:28 ||| Analytical line writing line 9\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:34 ||| Analytical line writing line 17\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:40 ||| Analytical line writing line 25\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:46 ||| Analytical line writing line 33\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:52 ||| Analytical line writing line 42\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:23:58 ||| Analytical line writing line 50\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "\u001b[36m(Worker pid=17655)\u001b[0m INFO:2025-07-08,15:24:04 ||| Analytical line writing line 58\u001b[32m [repeated 8x across cluster]\u001b[0m\n", + "INFO:2025-07-08,15:24:10 || analytical_line.py:analytical_line() | Analytical line inversions complete. 51.63s total, 81.7487 spectra/s, 20.4372 spectra/s/core\n", + "INFO:2025-07-08,15:24:10 || apply_oe.py:apply_oe() | Done.\n", + "\u001b[36m(Worker pid=17657)\u001b[0m INFO:2025-07-08,15:24:07 ||| Analytical line writing line 60\u001b[32m [repeated 5x across cluster]\u001b[0m\n", + "I0000 00:00:1752013450.613965 2663318 chttp2_transport.cc:1182] ipv4:127.0.0.1:65123: Got goaway [2] err=UNAVAILABLE:GOAWAY received; Error code: 2; Debug Text: Cancelling all calls {grpc_status:14, http2_error:2, created_time:\"2025-07-08T15:24:10.613957-07:00\", file_line:1171, file:\"external/com_github_grpc_grpc/src/core/ext/transport/chttp2/transport/chttp2_transport.cc\"}\n" + ] + } + ], + "source": [ + "kwargs = {\n", + " 'input_radiance': os.path.join(subset_dir,f'NIS01_20210403_{neon_id}_rdn_ort'), # Radiance\n", + " 'input_loc': os.path.join(subset_dir,f'NIS01_20210403_{neon_id}_loc_ort'), # Location\n", + " 'input_obs': os.path.join(subset_dir,f'NIS01_20210403_{neon_id}_obs_ort'), # Observations\n", + " 'working_directory': os.path.join(output, f'NIS01_20210403_{neon_id}'), # Output directory\n", + " 'sensor': 'neon', \n", + " \"surface_path\": output_surface_file, # Surface priors - often changes\n", + " 'emulator_base': os.environ['EMULATOR_PATH'],\n", + " 'n_cores': 4,\n", + " \"wavelength_path\": None,\n", + " \"surface_category\": \"multicomponent_surface\",\n", + " \"rdn_factors_path\": None, # RCC update used 'on the fly'\n", + " \"channelized_uncertainty_path\": None, # Channelized uncertainty - if you have an instrument model\n", + " \"model_discrepancy_path\": None, # Model discrepancy term - handle things like unknown radiative transfer model effects\n", + " \"lut_config_file\": None,\n", + " \"logging_level\": \"INFO\",\n", + " \"log_file\": None,\n", + " \"presolve\": True, # Attempts to solve for the right wv range\n", + " \"analytical_line\": True, # mathematical representation of OE given that the atmsophere is known\n", + " \"ray_temp_dir\": \"/tmp/ray\",\n", + " \"segmentation_size\": 10,\n", + " \"num_neighbors\": [5],\n", + " \"atm_sigma\": [0.5],\n", + " \"pressure_elevation\": False,\n", + "}\n", + "\n", + "apply_oe(**kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "9d31291a-c036-4288-9114-cd772dda6748", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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yySWYOXMmotEoTj31VCxfvhyLFi3CrFmz8rcTa2pqzNtiZWVl6NOnD84444x8WTQaxbx583D++edj0qRJOOecc7B+/XpMmzYNY8eOLXg5+Zvf/CZ69eqF0047DdXV1diyZQt+/etf41e/+hW+//3v5+X4pfLYY4+hqakJjY2NAFqvPNvG/bnPfQ4VFRUF9RcvXozy8vKCF/7b87Of/Qy///3vMW7cOAwYMABNTU34/e9/j5/85CcYPXp0we3hiy66CD/72c8wZcoUbNmyBccffzyefPJJ3H777ZgyZQoGDhwIABg6dGiBWwqAvGPO0UcfXTCXbTz//PNYt24drrvuOqpeFd2EA/P6negutL3ovXr16qLvJk6c6AB0+qL3q6++6r773e+6kSNHun79+rlYLOZ69+7txowZU/ASdRuNjY3uyiuvdDU1NS6RSLiTTjrJ/fKXvyyq9/TTTzsA5mfMmDElj2/jxo20HQDuggsuKPqbH/3oR27IkCEukUi4I444ws2cOdOl0+mCOgMHDqRtDhw4sKBu2xyXsv10Ou1mzpzpjjjiCJdIJNyQIUPcj3/845LGar3o3cbSpUvdSSed5BKJhKupqXFXXnmla2xsLKjz85//3H3yk590ffv2dbFYzB1yyCF0P5baHzbuji/tv/XWWy4SibhvfOMbtL3//d//dZ///OddbW2tSyQSrqKiwp188snuhz/8oWtqaiqqv3XrVjdp0iRXXV3t4vG4GzJkiLv11lsLXry3aFsz7EXvyy67zHmeV/BiueieeM6VqAcXQgghDiL0DE4IIUQo0TM4cdCSy+U6fSHd8zw9I+lifN83RUXtCWrrJcT+Qldw4qDl6KOPRjwep5/PfOYzB7qLoeOmm27qdM7j8fhepTUSYn+gZ3DioGXt2rX5F5otKisrceyxx/4DexR+3nnnHbzzzjud1jnppJPyylkhDiQKcEIIIUKJblEKIYQIJfvtafAdd9yBW2+9Fe+++y6GDRuGBQsW4JOf/OQH/p3v+3jnnXdQWVn5DzHfFUIIcXDhnENjYyNqa2s7z7e4P16uW7ZsmYvH4+7OO+90r776qrvqqqtcjx493JtvvvmBf7tp06ZOX8zVRx999NFHHwBu06ZNncaT/fIMbtSoUTjllFPyhq8AcNxxx+FLX/oS5syZ0+nf7tixA4cccghOH34CYh0k3ux6zidDYFeA8agR8VnjZHY88qshmy12HgeAnG83FDhxtTHWDJFtsz0bJRtl85U13NT3bMEsjXTBlTdblKycpoMhO9Z3bM6CraVopPg1BDZfTF4ftdYjgGiQ9dvJdtniLosX38DxIiwlkN1yLmePic0vW6tg5WQpxYx5Z52MkDHRY5Jsk51n2EsTPmk/S+asLF68XzueA9tIk42y9ZuI2+1EPHst7Wq2xVs+6XsiVty+dWwAQIxMMJtfa79mczn875pXsX37dlRVVdl/h/1wizKdTuPFF1/EtddeW1A+btw4PPfcc0X1U6lUgRKuzbcuFo0iFisxwJGFxA7W2H4McAxvPwY4lwt2UmIn1OC3hA/mAMdzuwVpP8h7dj5tI1iAi8UCLhoWKI2TUtAAx+aFzq9P1gZZwzTAWfMeMMDRYzJogCNz43t0tZql1nmp4zkw33bAAMfaYQGOBVaf9t0IcKSNrghwbXzQOavLRSZbtmxBLpdDdXV1QXl1dXVRGhAAmDNnDqqqqvKffUkWKYQQQrSx31SUHSOrc86MttOnT8eOHTvyn02bNu2vLgkhhPgQ0eW3KPv27YtoNFp0tdbQ0FB0VQe0phZJJpNF5RGP3yroCLnDg2i09PuOjtxSobfbyGWzC3hzzSO3CPi9dGOXeeQ5CLmPwW4FsG3yx7R2Ob01wXaUQZo8y2S3hnnf7fbZrUs2Un7Lxiij80VuzbB7XOQWV9S35yBCnnmw/mSt4qy9ZtitIPbUL0fvKpH9R8bKj+Di+mx90X3tsd53DWzeo+TEVp60nomyW4hxu40y+wX7COnLzl0tZnkyYbdvZTcHYB84AW/1smeiOeM8lv0Au7g2uvwKLpFIYMSIEVixYkVB+YoVKzB69Oiu3pwQQghhsl/eg7v66qtx/vnnY+TIkTj99NOxaNEivPXWW5g8efL+2JwQQghRxH4JcF/72tewdetW3HTTTXj33Xdxwgkn4He/+10+i64QQgixv9lvTiZTpkzBlClT9lfzQgghRKfIi1IIIUQo6baZCSOeV6RgZC9sMhEafaHZUmCRl2eZujJDVH6uRHXP++0HU61ZqstohKiPuJSNdcYsJu+IgpgaUOWb9YInc1VhcsYUcwkJOFSm0E2SZJ2WkguwnWuYepW+LE5ftmVqSeY4Q7Zrltr1k8TxgincqMI24IvhOfJbO0bUlc7oT4T0na1rz7Hf98FeOGZria1t1s3mTPFaYqpFpgBNpbJ2/YCK6hxR0wYxd2DrkTnusKUUtya4RAMuXcEJIYQIJQpwQgghQokCnBBCiFCiACeEECKUKMAJIYQIJd1WRdmcySBWoiKR6WmYislSfvUos6ciQ9REloprz0bNYp8pGlkxU+JFisubU2mzbiLGUpDYfUxnWK4uliaEKNxYBhmjOy0ZW/XFvCiZJpD5+9FUJqTvKdIfvsqKCZouiPmXBvUMpZtlKW2MyWGjZCpKhkfUj0F9CGPR0tMXsVyMiQQ5zdG1QXxQyTyy/R0JOAcZYw6YEppb5GZIX4IdN0wayvaTNSamPOZ2veSYNM7B1BOzA7qCE0IIEUoU4IQQQoQSBTghhBChRAFOCCFEKOm2IpNIJIpIhyST9IEoI0DeyTR5ZpkOmAAyGszhppMEqXb76UzxQ+Q48dKKEtspBus7+xWUJoKM5rT9oNsSlLB5pMlayUNuam1G1gyrzy2m7HILZhFH1y9pnAmZmAVSJksEO2Q/JZPFyTGb7V0XRGPTWj2YpgosN3GQIz7ovo6R48YjK54JkJh1GrXZYhZhhijFIzZ8LIkrE5MwYVKECM6ixLrQz5Se6Jmdl1gfmYDFWu+lLkddwQkhhAglCnBCCCFCiQKcEEKIUKIAJ4QQIpQowAkhhAgl3VZFmYhFi1ROTFEVjRK1TgBVFVMlxWkCTJJ4kyiBmHKIKb94zkVDacXapjNmN24mFtzTkkV5WdIs90kSV2uzNGEmuibxJptfrsKiHkikuHisbBq5HZVdn1k6+QEljZWVPe12AiTnZdvMsay3BJbE1SMySg9MTVtcHiNrhh2TzMqPnU8q4/a5YHdLyixPxuNmeY6ojD0juTJXkQazPGPnQnpeIuUJsv8shTQ102KSWYLV9whJRF1UL9CWhBBCiIOEbnsFJ4QQXUki2gMAkPMzAByi5B2w9u+G+cS8WBwcKMAJIUJPItoD44bcEPjvtjW/iRfevnM/9Ej8I9AtSiGEIPQuH4iIZz9LE90fXcEJIUJP623JVpa//kPk/HQnIpMIopEEzhg0/R/VPbGf6LYBLhaNFCmuoiyxIFE90YSnhgIpSz0n7f555P69C5gskYkIue9mcTnzs2R9j5G+k2LEyfw2pW1vPjYmU9FI1FBZlvCV5WckfWRQr0Tm2cf8PiPFhxAVhhJvwghNzBvMBzWWYApQovg1+hknyj/mc5kL6KUaI/vJI5q7KLnJlDG221lC0vZLz7kMHLJAhPTFcwDeH280EoHnIiyXMZ2BGPFzTOTscksByXxNWTLRCJn3XM7efzuJopMmNiXbTRgKU6ZG5cppG0vpWWpSYd2iFEIIEUoU4IQQQoQSBTghhBChRAFOCCFEKFGAE0IIEUq6rYrSQ3H0TcaJKoe0kSHKoYyVITZgJueAyZnhBfQPDKS6pE3biqck8dRj7/s44rvJynnfizvKFFVsSNQ7j/wFy35NRGKI0izPNpYiNUvmnap6yRywjMg0A7hdGy0Zez+VGT6rVLlJ2k4Qr1bmUMmUiHEyN8xH0vKdLFVZ937bLIW9h8LZdAAcVzwT+XFzylYoVpYXZ1IHAN+li9vIBMtsz3YUGyprhqko2SSkjLFGY+Q4IIuAZiM3+pIliuSiNkuqJYQQQhxkKMAJIYQIJQpwQgghQokCnBBCiFCiACeEECKUdFsVZTqTKcoMzTIcs2y1GaK0sbIQB/ZHI6ovmkOb9p0o65jXnDHWHFG+sSGlibqUZQBniiXmT8j2UzZXXJ4gSkGmqGKek3R+WTtkzbCM00yimDWUpMyDj2kLmdIz6Ji4F6M9phhTaQZom6ntmC1mnEwvWwdpljHcs7wo7apuz/86/ts31iMAZFCojMxmc8i5HFX/sQ2z46mpxVZXHtIjWdxGk50tvIWoK+kkkGsZVj1OfDSzWXZOLZ5Ln9YNpq601Melnq11BSeEECKUKMAJIYQIJQpwQgghQokCnBBCiFCiACeEECKUdFsVZcb34fxCiU+WZJ+lwiGiQjN93Ki3JDN3YzqeYBmOmR8e9cY0qgdV27WkbXVTOmOrIrfvajbLU6Q+8+l0xhz07VVh1mUZzWmWcqJGjSftJc7Ufxnmr8n2n+WvSfZpnHipsqzVdO2xDO50HditWFNAphEx0giZXppZmglMs2R/eEQBGolYxzBTMxYeCxHPa12LpL7vXIG3qe9c634OqP5j+4kdr2lDidjvkB6B2t62q8Usbyq2udzTTOnZxQGgvMz2q7XmwCdqbSaMpdNo+b0ShWZHdAUnhBAilCjACSGECCUKcEIIIUKJApwQQohQEjjAPfvss/jCF76A2tpaeJ6Hhx9+uOB75xzq6upQW1uL8vJynHHGGVi3bl1X9VcIIYQoicAqyqamJpx88sm46KKL8JWvfKXo+3nz5mH+/Pm45557MGTIEMyaNQtjx47Fa6+9hsrKypK3U5FMFHnlMcUhU5sxX0GrvmPKNKqeM4vRQrL4UuVbQPWmb6j8qAchUb4xlR9rJ0EygLOM00F8HpMJW5XF5iVHfDHTWbb/bJIJoq60hV+UiLEQqL42oN8p3WbAzNVJot70LEkuy6BNfgqzbNZR8gcZ4v/oXLAxWWuMrV8Phf2MRiKt6sFO5jHqvT9n0WgUcD4ckf95UbuduMcUvKX7zPpkBZeRfVrbxz7Hvtmw0yxPkWzv7BhmB5SlwO5RTo5t0ghTd1u1WRsdCRzgxo8fj/Hjx5vfOeewYMECzJgxAxMmTAAALFmyBNXV1Vi6dCkmTZoUdHNCCCHEXtGlz+A2btyI+vp6jBs3Ll+WTCYxZswYPPfcc+bfpFIp7Ny5s+AjhBBC7CtdGuDq6+sBANXV1QXl1dXV+e86MmfOHFRVVeU/AwYM6MouCSGE+JCyX1SUHe+FO+fo/fHp06djx44d+c+mTZv2R5eEEEJ8yOhSq66amhoArVdy/fv3z5c3NDQUXdW1kUwmkUwWJ/oTQggh9oUuDXCDBg1CTU0NVqxYgeHDhwMA0uk0Vq5ciblz5wZq69Be5Yh3VO8Fs3nkKkKjLMoyFpNNMrPI3c32lAYUvtGxWmpPmumcNR1QzNe7V7lZTlVrRFlnqQhpZvSA89W42/bgY56IaaIWZL6Cpn8pbBUoq0umhe7rjhnt22ACNyp8o1mbi5V4zAM0S/wDiSgSPIM0m3dmvlr6TSaPTGQ0EkGkvSoyFoXn/E4XmVXfJ9WpFyzbIWRNWlmx08RzkW2TqV2re9uer2miXNxBMon7TA0eKz7vseMgQ9SobL6s80ykxJNY4AC3a9cu/OUvf8n/e+PGjVizZg0OPfRQHHHEEZg6dSpmz56NwYMHY/DgwZg9ezYqKiowceLEoJsSQggh9prAAe6FF17Apz/96fy/r776agDABRdcgHvuuQfTpk1Dc3MzpkyZgm3btmHUqFFYvnx5oHfghBBCiH0lcIA744wzOn1h1fM81NXVoa6ubl/6JYQQQuwT8qIUQggRSrptwtMePcuRiBc+wKfXjYEdkEpPlsiuVrkFVML+IqBoglnRWL0Jag3lyMPfwFZSAcdkNc+TepI2SHlZWTAlLrO78ljGT4LVDJtGOr80Ma/9MJ49vM8RUUqQHZVhSWyJHVUuoAgiyuY38Foqbp8dM57nFawzz/PgwetEJFW4PqIRD57zaHLQTjppFkeJxZ21+1hyULY2Wqg6jQmf7DmoqLCPJ7JZxCw7Pzq/djlbe9aayWRL89TTFZwQQohQogAnhBAilCjACSGECCUKcEIIIUKJApwQQohQ0m1VlBXlySIbJCZCo9ZIgZRZrDKxmyHeRUxEyTof0H3MtOqi8xJQRUm3GVANFUSlSfcRsWhiv8iycaYgtGFzFtQizEyeG1CNyhRxfL3b9VkiTbZnrX6yJLbUfo1skakr2SJjSXg78awrLurkGGuvioxEPMB1kjKTqC7Z3DCCirvNxJ4B1d05Irtka4OdO+m5g5WnjUTPARMxJ6L2/MYMOzxug9ahXkm1hBBCiIMMBTghhBChRAFOCCFEKFGAE0IIEUoU4IQQQoSSbquiTCZjSCYKu0dyJVLFD1MIWUk2g6rnykh5lqgrqV8kKWeJOm35mF2TK6FI0wzalaDtW8la7ZrUK5L52DHVXkCdKhV10gVS+mTyJcaUbHZttl9bUoaSrZP6zhkKUHuTtO9M0enFAyoOc8HUglZ5Z3ULVJSeh07NL5l3Ja3eNX6q1oHD/TKZQtG+ZinWIbbC1ZUBVZdGORsna5u5S2aai49teVEKIYT4UNNtr+CEEAcI51Cx532qjOcBXvArOHbVSDdJ3wUMcgVH2nYOkXa3f+K+67x/Hsz6/Aou4FgDfBG07aBEAlyRlVKe8RD8dth+RAFOCFFARc7Ht//0twPdjS4lF0lg5RGt//39N7Yg6qc/uP6APfU3bv7A+qKVNxIxLDqsstsEOd2iFEII0SUcmc4ivn8vOgOhKzghRAGZdr++f3Lc4chEuMCiy25REouprrtFGcdpe/5965F94TtbkAMA8LzC+oP6wXeZTm5R8qbM/gT4Yn9fCOXoLcdgIpNYzseMd7Z3Vbe6jO4b4JwrWrFMVcaWDPc5tOrz7L4WUeKFFo/aU8raCapaM9sIqLYLbpLHsosHa9/qDvO5DOrnSLMksz9gXpRBJ8c80QY7WbO9HaWGmfaNF7Ym0xlbYZpKW+Wu4LlPNgJkIx7fpwEzoFPVHmmHzZl1AqZqahTeqmreU8ba9pxDxHu//Wbfh+98RKN2H2OkPIgHKGAHD5Zxm1sxBouIPnnG55MN0J867X6gJOKx1n4HVF8zBajVTKzEyK9blEIIIUKJApwQQohQogAnhBAilCjACSGECCUKcEIIIUJJt1VRtqQyRWIbpk4LiqUECuonx5SFQbP+ss0GEUlxsVJQlWOwrOO8eZYxvLinTBnL+hKLB1OpekwpR37aBTWOyPrFSsQU8YRsTtv+ebtb7JeImWKNZt0myjeWYd30D3QOXjuFYjaTRTYSoRPMlJtsm2zRcPVq6dnnmbIw4nkFXpSxiAffeTRLeTQSQcR7372xLBGH7zrzhbS3S5XThgcoAORQfH5jxxI/FQZNVU8UjQHPh+0zbEci3p5PsOsnmr3cqssl9QV02wAnhDjwxH0HwOcBjknhWVAN8F5bZ+XW2wadvVpiWm+xV4DgF7wmEN/zmkDXBTjSR2NQQV9zoZBfboGN1wnxEgPOPxoFOCEEZepf/n6gu9Al7JVV10da//s7f22QVddBip7BCSEKyHgeNpUnDnQ3xEHIW2XxVsPlboKu4IQQhXge7juiD+Lt71910TO4A3eLstiqi91yjEZarbpO2fPvfz/6sE7rd9UtypxhV9Z1tyiD9WVvUTYBIUT3x/MKPCnZSYtZOjFxRJcFOKP9zk7W7UUTmbzIhI0pgkg7AUomEoHvIvs/wJm5jPez3V5XR7huRrcNcC3pTCfek4Vwz8XSH6xGqLlbsF8jbFGzPpYFVQUaXzDFE1VgMe9K4hPIIP649KAJpMxi88iyAZPFElRJGtgd1Gif7Ws2/kSMHIZs/bI5yJDyHMt2XgzPpG7X99m8BFDEAZ2oLgPAvCI9z0PEe195GotF4Tuf7tK2DN75f0f2/Duo5ys7nAKcaiKkctAfCsHVlV1wFUZ//NgwI+egis6Cv93rvxRCCCG6MQpwQgghQokCnBBCiFCiACeEECKUKMAJIYQIJd1WRVlfv63Ic4+KkrpAAssz5NoEzZbNVGIVPcrM8s7e0SkVLhQk0msii+SqJ6baYxmtWYeKocopMv5DqipJS8Hk6r6l1e4EqzbNFE3aoO+SBVSSpjK2B2aOqCjtxPZMRdk17zZRqT3xLaSKVLM+yX6Nwv3k2v7NLLM6qijz/7PnPRINNjfs+LBEoExZmMvZvqbprL2vs1mmPiYZ1sl2Wfv2Eiaem2T8TMlu1S9VGawrOCGEEKFEAU4IIUQoUYATQggRShTghBBChBIFOCGEEKGk26ootzelEIuWlh2bKbNYQllL0ciyIUdI1l+mMooRP7wkGcp7O5rMcq44tLwo7Zo8szbzfLP7njOyVrO+AECWKBEzhgIrRhRobPhx4tvY3GKryjyS6JEpuZiKMIgfHltLLEM3WTLcsjCg5JfVtpYwy2juO3sN0MzrUXs/sYT31FuReYxa2a+ZebLngHYJTP09CUzZPvVz2YJ14PtZ+C5Lj23mDcpg+9s3jrNMxl7Xu5rt/HS7dqdI2/Y22ZzxjAf2OrCOJ+qnS9qOxsj5x2ib9aMjuoITQggRShTghBBChBIFOCGEEKFEAU4IIUQoCSQymTNnDh588EH8+c9/Rnl5OUaPHo25c+fi2GOPzddxzuHGG2/EokWLsG3bNowaNQq33347hg0bFqhjvu/D7/iUkj0QZU9Q7eezdtJQZrFFvmAPxdkD1GbSFyYBiJKn8ZZNU448iPeJ15MjIhDfsU4GS5xq2yjZ8077SBpPpYlFUYbYUZE109EGro1E3C63BDKt5cX9YQKkoBmhgyZ6ZIIdhrWf4uRBPxd8sUSapDatHkz0Yx0HbL4i0cK0od6eD01y7MO06soRuyuizaL7gwlHdjS1FJU17rbFJOyYZ9oLardHxFbUKpCsA/PYZn0kojWPJi0urcwi0BXcypUrcfnll2PVqlVYsWIFstksxo0bh6am95WA8+bNw/z583Hbbbdh9erVqKmpwdixY9HY2BhkU0IIIcQ+EegK7vHHHy/49913343DDjsML774Ij71qU/BOYcFCxZgxowZmDBhAgBgyZIlqK6uxtKlSzFp0qSu67kQQgjRCfv0DG7Hjh0AgEMPPRQAsHHjRtTX12PcuHH5OslkEmPGjMFzzz1ntpFKpbBz586CjxBCCLGv7HWAc87h6quvxic+8QmccMIJAID6+noAQHV1dUHd6urq/HcdmTNnDqqqqvKfAQMG7G2XhBBCiDx7HeCuuOIKvPzyy/jlL39Z9F3HB47OOfrQcvr06dixY0f+s2nTpr3tkhBCCJFnr6y6vv3tb+ORRx7Bs88+i8MPPzxfXlNTA6D1Sq5///758oaGhqKrujaSySSSyWRRuedF4HWQJ/GEeEyaRWyEDAVdIlHcBwBIxO0pCqqUY0kqW1K2tY7powQgblggJZL2NtNkXpjqNBcw+SEbE7PBstphatRkIm6W8+S2zC6JqDFTdnLQdJokDWVKXbM/LKmn3USEJeok653tj0zA/Q0Y1lBZu5NlcbsNpjqliWZJbTYHbM6ihgK0MzVqe4Vl6397NLmtczm4dhvO+Tn4LkdVmlHSySxR9m7Zsdssb04VqyuZ7R1bG/GYXZ7KBDvmYxF7v7L61laZUrmcHNtMGtliKJhLNUcLdAXnnMMVV1yBBx98EE899RQGDRpU8P2gQYNQU1ODFStW5MvS6TRWrlyJ0aNHB9mUEEIIsU8EuoK7/PLLsXTpUvzmN79BZWVl/rlaVVUVysvL4Xkepk6ditmzZ2Pw4MEYPHgwZs+ejYqKCkycOHG/DEAIIYSwCBTgFi5cCAA444wzCsrvvvtuXHjhhQCAadOmobm5GVOmTMm/6L18+XJUVlZ2SYeFEEKIUggU4Ji7RHs8z0NdXR3q6ur2tk9CCCHEPiMvSiGEEKGk2yY8TWcyVKXXkSjJIOh5topn4MCjisou/dblZt0+ffqY5S1EbfdfD/2nWZ5O2Z5yHum7pRIDgIjhBVfVy779u3u3rdb67aOPmeWbt2w1y9OG3yLA+8iu9O39yfwZ7fL+fXub5RXlCbOc2Q3mIrbCjQgUESftRI0N9K4sM+syJdtO4jfI5oDkfKXzTiwUzaSRVtLNPY2bxVTNF9AXk1iSUm9XK+krT3wcKUjmG4lEABehY3Wuza0y3zIAj7fPlNNmaVt7xViKSbYe2f5g5zyW/DlO9h9TjzNlqKWGjpM2mKrXETWqud5LXF66ghNCCBFKFOCEEEKEEgU4IYQQoUQBTgghRChRgBNCCBFKuq2KskdZWZFnJPXmY5mlDd9GoDjbAQAcdfQxZt2qqkPM8h27dpnl515i57zLZmzVZTxu+7IlE7YqMGaMKUIUay//3xqz/J5fPWSWb9vVbJbniIrSsTzB9HXJEtPwAmAyqR2NTWY5y4A+4LBDzfKqygqzPKgSMWN80bDdnkemOk0StRnz/csSr0+6O8iYrFLmDZoh20yTTOcxMlaW5Zq9Yku9D432Y0SR3DomV/Bv3zm6zWgH1WU0EoHnIiDNU5Vxw3v2OWI38UHNGmNlvqNR3+5Mhmg3WUZ2tp+YgD1ZZp+XskaWcitjfGflWTJWq75XooxSV3BCCCFCiQKcEEKIUKIAJ4QQIpQowAkhhAglCnBCCCFCSbdVUSbjsaKMsCxxd5IohKJxW/FT1fuQ4jbKbP/AjOHX1xmWyhEAKkj7jIyhSgJsXzamKGJqJcuDEAimtgO4TyATODlmOBiAoAJNplBMMEkcaaeZ7A9rzpgS0SMqsTRR2LJ2mPqPZl6n7RSX84zp9jZb0vZaShJVa4ysgSD6WgBwlqqTJBd38OHaqQud81s/pO3Wb1zBv304ut53NqXM8hayZpjqO2Ec3D2S9qB2k3nPZEvf1wDPGB6LEXUlUdNaCmGW0ZspOqNEkWuta3ru6bit0qp9eHDOYdvu1oVZFo8gRuS4zcR0NEt2Uq5Ud9A9ZJipqWESHCV7O9VhsSei/AT2wTj0LW/9r+Zs6wnPY2c9GuD2ctOE1t2070FTCBFOFOA6sG13FmMXvnSgu7FfGHyIh+tOs69qP4i+5cD6S+1fpAeKVe8A4/8zCgU5IYSFnsF9iFi/3YHc2Tgo+VgtUKGfaEIIgk4PHSiLvx/zV3xrOHqWJ816u1tstwp2i5LlV2KwZ3DJZPEVWJTkUVq3bi0AIJUDrnzGfk5QKs3tujP4rhh2Zw7cLcqKOLD+shBFaiHEfkEBrgPtz83l8QjKE/YDUZezy7Pk5J6IkyfghBh5BJ402qEWULG2zux7ZGkfnHZngN1Zby9EJvvcjbaWuqohIUSI6bYBznleUYZXIuwBAmbarawszoDdlm3ad++rhHznI07SJ1dV9bL7whRuRLmYIT52ltceYAcJ5te3a49fZioHtO3qXU1NSJNs5ExtB+cKN+wc4PZCXWn9RUA7y9Zd6opqMp9SpiSlF58kODM1puUfyDOa22sgzhSd5JcC0//ROSDt5AIIjuJE+db+eGnPrhaSBZ6MlfXEytzNYMPxXIf83K71QzNxOx8Fa2zP+m8hwq8UKfci9pwlmIDXmMvgtq7BfnWy44O1w3xQrR/Z7Ic336NMBWx4dJJ115FuG+CEEGJ/EPFaDc65othH1LNN0MXBhQKcEOJDxan9v3eguyD+QUhFKYQIPb7LYGfqrcB/tzP1Fnxn39IX3R9dwQkhPhSs23JP/vYkwG9RFj6HV3A7mFGAE0J8aGgfsJjFXakCBtH96bYBznqfjKlyfGermMrLy83yvv0OK257j0os2q6paCSKLFM5Es/JZII8nCYqNOaBGWV+bUZ5qqXFrLu7ubW89eXungCA5uYWU60FcHWT8zp82fbvoAm9A2yUK606ftPaGarCY7/SSX2fePNRf0mjjCs3SbZsYk7IMlR79Pxrj5WJNKNGdu0s8ykNqM5jY82R+Y0Q6W2EvONpFTuWhpqsAY+Mia2mdJpltrfJMdNJqrItLk9n7StIpgClWbTJPFprALB9MQEgQ+bY6jt7JzhOXpmix6qhPmaK5I7oGZwQQohQogAnhBAilCjACSGECCUKcEIIIUKJApwQQohQ0m1VlD3Lk0U+kMyXLkf80dKkvPehhxaVRfb4xrUXIUUiUcTitirSEaUVU10ydRrLbptK2e7/llopR5RW77zzDgAg43sABgMA3n33XdpHpnzrkOC43b8DKutKLuS+ggymOmVWe2zNBN2w7RkazAyaKdyYKJD1MRZQvWnWJcq/DFUcknaIUpckv0aPJDkVkUlwxv5mfSfTS/cSK2eek0wtydSYEaJctJSBjmVAp5nXeZ5yiygJAUw1HKXHR3H93am0WbPM2edU1rR5jixxSesKTgghRChRgBNCCBFKFOCEEEKEEgU4IYQQoaTbikzcnv+1J8qeFrOkiM4WU/xi8c+KysqTrZZZqXZWQmtfWo1PfPJT9ibJg+JM2n4QzRKe7mphYhK7fiKeKCpLp+2HuY2Nja19cu/PW+OuXdzSiEGtugIqQYwHw0HFJCz5KmvHJ2ISJgCgOcICPNTnYh273AW0qWKwzWaZCMIYEnt2HywlK0AcuUyRFOtLazmzHyvuEbM2YzZjVI5B+sg8KpltVjxmC59YgmJrElgyXCae4ol8SxeHAFwUF8SajW2Tna7ZOrVKsxKZCCGE+DCjACeEECKUKMAJIYQIJQpwQgghQokCnBBCiFDSbVWUmWwOHRU7zD6GJfljtjLJZLKorNchhwAAWrIOwHsAgMqqQ5DJ2DZYzY12ktGelT3Nct+3+1JRYSc8jZGEqjlD3eSI4rJh8xYAQBZRoKK1bPOWrYGsm4BORJSBWulMyVUM66PneR064wGeRxM0JqjVGutjsC8sxV1QpSBLIO2TzKYRIkNjySs90p94pFjlV1ZmK/92t9hKXWafV2aofQF7/QIAyw0aYcd8UPWtAU2g7DMrO7udLFHqsvMVUyKaY6LjZCpguzabd5bAlB2rMXKcWZPDzr9svpi6NGpMjFdi1nVdwQkhhAglCnBCCCFCiQKcEEKIUKIAJ4QQIpQowAkhhAglgVSUCxcuxMKFC/HGG28AAIYNG4Yf/OAHGD9+PIBW5duNN96IRYsWYdu2bRg1ahRuv/12DBs2LHjP9qjj2sNESUy1xuRpMUPhFdmjDoq009dFYjE0N++2m6ZKKOJLF7enuqm52Sz3iM+jVbq7aZdZd+vWVhVlzntfRfnee1sCqyhpvlMCVQtaZVRxSOY34nVISushEvEQZT6ELIkiUdBFSDuMbLZYncZUjnze9299NtakpU5jqsikrUZNG+MHuIKQlbOkoQni52gvj2BJWdlCpclwWTOknK1tSxUIAM7YT1RZSOaFHZhs3j3id8p8PZka01p7HRNWt8HOkdb4OaXJaAMdzYcffjhuueUWvPDCC3jhhRfwT//0T/jiF7+IdevWAQDmzZuH+fPn47bbbsPq1atRU1ODsWPH5k1/hRBCiH8Uga7gvvCFLxT8++abb8bChQuxatUqHH/88ViwYAFmzJiBCRMmAACWLFmC6upqLF26FJMmTeq6Xv+DaMk6NJM09ewKLk6yCbBf182kPnW7t9rIkPdKvOie/+/a1x0r4gDg6K/FrrmCs9uIRNq2L4QQnbPXZ75cLodf//rXaGpqwumnn46NGzeivr4e48aNy9dJJpMYM2YMnnvuORrgUqkUUqn3U8bs3Llzb7vU5Vzwm80ANh/obuw9h399vzS7/lKWSkMIIboPgUUma9euRc+ePZFMJjF58mQ89NBDOP7441FfXw8AqK6uLqhfXV2d/85izpw5qKqqyn8GDBgQtEtdSjIKHNc3nJcIlakGRNzeBafdWWDVO13coX1k1TsedtumE0IIEfwK7thjj8WaNWuwfft2PPDAA7jggguwcuXK/PcdxQHOuU4tmqZPn46rr746/++dO3ce0CDneR7m/FNvpPbEgcOqa8x67BZlr1697PrkFuVuJjIJcIuSiUx+cGNdwb8jLlfio1l7y+MfiKKi/YrZr7coucikjdbg1gWeTUKIUBI4wCUSCRxzzDEAgJEjR2L16tX40Y9+hGuuuQYAUF9fj/79++frNzQ0FF3VtSeZTJrekPGoh3gHb70o82ekfmqlX6D+ad1as3z3tgazPBG1vfa2ltvektmc7eXnkxP0UccMNcst38mIY36Z9u1e+nyL/hB5fx5TBZsnwYlmWC+pqNMvvHaenu1FV9RXMEt8AmPBPA49qvAqbidC9qnP/P0CZK3e0xmzOMMUbnYrZtZte1VzZSFTMDuW/ZqaSDJ/TXus1g/AgKJTuq9ZO0zpycrZj1om+g4Cm3e2Zlg584XMEHUs23+9exV78I44ebBZ90/r/2aWN2zdbpb7xrrmGccL2ef34JxzSKVSGDRoEGpqarBixYr8d+l0GitXrsTo0aP3dTNCCCFEIAJdwV133XUYP348BgwYgMbGRixbtgzPPPMMHn/8cXieh6lTp2L27NkYPHgwBg8ejNmzZ6OiogITJ07cX/0XQgghTAIFuL///e84//zz8e6776KqqgonnXQSHn/8cYwdOxYAMG3aNDQ3N2PKlCn5F72XL1+OysrK/dJ5IYQQghEowC1evLjT7z3PQ11dHerq6valT0IIIcQ+Iy9KIYQQoaTbZvROZ3JFaiY/ZSsRWUZvz8hYDAD19cUvdP3HvT8363JbumCSreNPPMksZ31nG7ZUZZmMPS8DDuttlr/Tzy5n6rGIF0wlxnzsomR/WLy7ZRv5hmRpT9hL2ZH9xERYjrwnGIkEUF2ypUHmK8sUo1RKGsxzkS5h4w8y7LUN1gT5gqn2uL9msHdOrNr0hRHaNHkVhygFebZ3uzior6mljGTzyNSMqYz9YqhPlOZMOd2jzNbTsvqNTcWvO6149iWzLvfRJMpQY5tc8d2hXkm1hBBCiIMMBTghhBChRAFOCCFEKFGAE0IIEUoU4IQQQoSSbquiLEvEijLCMvFN1rcVNWmSy81U6xDvPJ94smUtIz8AGaJ+XLVqld0XgqUcAoBkvHgSSFeQJT6MlT3K7W0yHzuiBsukbQ9Mpv7r1aPYp5PtoyTJgM486CLEnzFneHcCPMNxJELUmAEyK3tRovxjvphmKZCl3odMYWsfIEzVapUnqPejTSbFfGBJtmzS951NKbOciS6ttcSyf1OY52RA300GW5O0O8acMa9IR6S3bD+xLOIxomxm7bC1FPeLy5ly02PZxck2rXMhM7vviK7ghBBChBIFOCGEEKFEAU4IIUQoUYATQggRShTghBBChJJuq6JMZXLwXaFSZtduWxHHveOYkqu4LEM83JiKiamSmKKRlTOZmGMiIUOJx3zZYkTNR6wMwWRlVEFI5qCj+rWNVLp4jtn8Up9AWm4W07lhKsp0xlaGMqxWmL8o88Vk+6OMKElTWXut5qjC1G4/YqiPWVZwn+ynHom4WZ5mvoJ2V+jcsB1r7Ve2NqhrbEBzyRhZ144orVlWbLbZpDmX7LxE2qa+puQ4IMd2KhPMf9YFUJgytTbbG3FLqVzitnQFJ4QQIpQowAkhhAglCnBCCCFCiQKcEEKIUKIAJ4QQIpR0WxWl53nFKicinUkTVRlT9liZdpnnnccyblPshqgvW0DllzUHTCXHVI5R8ruG+cyxyUnniF8m8US01H+JGMlY7NltNBOVY5Yq1sjkMD+8gPWt0hgZU4Z5URIfVOZryn6Xxm1BI+JEjWkpEXe12NnhmS8m80xl88h8TX3iJ0vVctYXbNcxT0+iROxVaXu1srlhilyevbx0n06fqiXJuY1sMUfmgPXdc3ZLKbKGrf6wQ6mcKG9Z3wPs6pLbFEIIIQ5qFOCEEEKEEgU4IYQQoUQBTgghRCjpviITFD9IjDA1ha0x4UIN44EoexAdVATCHiyzh/GsPrV7Mp7xRhNMNEKSGTLrJrsYzelgAg5mjxU3+pMiFmk5n1hmkb4zu7Y4SejIbJSYZRvb35a4hRpA0fki+5o0xMRAFUlim0VEWClDxMLWHUsInAu43pkVGLUxo3ZaZiOEAG2AnwvKk/bpcneLvVaZgIMlZo0Zcx81EhwDQJTY8GVIItREQDFQi2GrBwBx0p8WI/kxE7kx6z9yGjeTmzKLv47oCk4IIUQoUYATQggRShTghBBChBIFOCGEEKFEAU4IIUQo6bYqSj/nw/c6KGWISspKiAdwhWLOUOBQWyuiKqP2PETcw1ywmIIOTFlnlFnqq9ZtBvv9wtR2jDhRcmWZSsqYdyZ8Y0rMLJlgpv5LEP+qQOo8cOWXtV1LLQpwpSdN+komhzlA7WpOBdqulZg2lbbtqFKGSg4AomSsjpxZrGMPAGJMIc0IuP9MqP1a6ck7AaCizF5jjU32/mD7L26cJJgdHrM2o9PIVK3Meos0w86TVT2K7c3YMRPMwMy2iSt1D+kKTgghRChRgBNCCBFKFOCEEEKEEgU4IYQQoUQBTgghRCjptipKM+EpUeWwZKJMWWclXaSKQ5bsk3gZMnUPTQxJtstUflZSROaryGRJLPlhKmO3w/rO2mEqMau6x1SkZCbjJBEq82302R4hYypPJux2fLK/jUExr0jWxyhJLkl9HsmYqLKM7CeTgOvUWo8A4BH1H1PKcd/UAGpJVpVnMw5WPaCfLDsvxeP2di21IE96S1SUROXIVN8sAa2VFLq1Hbs3lurZMSV0kPUIex5ZkuCifgXakhBCCHGQoAAnhBAilCjACSGECCUKcEIIIUKJApwQQohQ0n1VlBGvyEMvHrG76xGlkc9UfobejAmwqFKQ1GcCIab5Yb8wmBejpd7MkNbTVHUaUP3IsmgjWMZwy6OS66lYpmiWvTxYZmK23RxZCUxJaqnW2Jqhik6yTcubEODeo1myA1nW9IiV0ZuMMxm3jz2momTKQjrvAX0hrV6yvlNlKOkLUxwyH02mwO5RZityM8TXs2dVT2ObtnqXHcNM7RrrIgUo9Ys0+kn9W4liNsi5Vl6UQgghPtQowAkhhAglCnBCCCFCiQKcEEKIULJPAW7OnDnwPA9Tp07NlznnUFdXh9raWpSXl+OMM87AunXr9rWfQgghRCD2WkW5evVqLFq0CCeddFJB+bx58zB//nzcc889GDJkCGbNmoWxY8fitddeQ2VlZcntp1JZ5HKFWhnmm0b98IhyyMryzNRK8Zi9zWaa/ZqplezaLJMxE4RZnn1MfcQ8Kr2APnYJkjGd+QdaiqrW8tIzqTOPyjRRBKbSZA1E7D4yORhVx5Idsr1xd1EZm8cyoqpj+4Nlbc51zHS/hyjZTz17JM3yVNpQvpF5YfPOFIQ0IztZq0yhyNSCVvsR5i1J5ov7XBKFIlsz5PyTIccB8yr1jfrUqZWqeoN56rJs8jyrub3dZsPH1mN+sqSNHNmktZ/YMdORvbqC27VrF84991zceeed6N27d77cOYcFCxZgxowZmDBhAk444QQsWbIEu3fvxtKlS/dmU0IIIcResVcB7vLLL8fZZ5+NM888s6B848aNqK+vx7hx4/JlyWQSY8aMwXPPPWe2lUqlsHPnzoKPEEIIsa8EvkW5bNky/PGPf8Tq1auLvquvrwcAVFdXF5RXV1fjzTffNNubM2cObrzxxqDdEEIIITol0BXcpk2bcNVVV+H+++9HWVkZrdfxnqlzjt7vnj59Onbs2JH/bNq0KUiXhBBCCJNAV3AvvvgiGhoaMGLEiHxZLpfDs88+i9tuuw2vvfYagNYruf79++frNDQ0FF3VtZFMJpFM2g/BhRBCiL0lUID7zGc+g7Vr1xaUXXTRRRg6dCiuueYaHHXUUaipqcGKFSswfPhwAEA6ncbKlSsxd+7cQB3LOQevo/KHqJUYzGctlU4XlVE1UUBfuo7+me+3wxSHVLdnb9eYA5ppmBljMjUYqc5UmjlHlKSkIUtdyEbvHMtSTv6CFTOFLdlPcZLRu3efPmZ5zv29qMxnikOi8is1O/H722RfkLGmmZ9j8RxkSFZ3plojFqDUe9WRscaj9qkoTpSh9loivopsPdLjgPkzsnK7HXagMYVwJmuojMn446wN0hnmR+qTNRMj22XnmogxNTHSR3b+YW1bWc25yrNDH0qqtYfKykqccMIJBWU9evRAnz598uVTp07F7NmzMXjwYAwePBizZ89GRUUFJk6cGGRTQgghxD7R5dkEpk2bhubmZkyZMgXbtm3DqFGjsHz58kDvwAkhhBD7yj4HuGeeeabg357noa6uDnV1dfvatBBCCLHXyItSCCFEKFGAE0IIEUq6bUbvRCxqKKgCZqImbVt+eMwfjqkrmTEdy4SbJX1kvoXMy88uZ955rI9kHolCkfllxmlmXrMYiXjxHNN9F1Axy+aRKhTJ3KRSKbP8b3972yy3fDqjxL+UeXRS/0CmwiP728qYDnA/TmtuqMNfgIzmQHBvySCZu1k5zSJOywMakhIScXt+U8QLls2B5cuaIZJZtq8Zlv8uALhosGOezWXckNMSF1iu9DRUpIC9r0tzotQVnBBCiJCiACeEECKUKMAJIYQIJQpwQgghQokCnBBCiFDSbVWUOd+H1yGjcbD8u7x+xPgL5rfItEqWaggA/FywXjK1IMvYa6mYmOIpRrqSI22z7NpxplBk2ZaJKtDabCJmL0GfzFcLUTmyvpSut2qFKR137mo2y/tU9SzeIkv9TIsDqmCZ7yZV6pLfscbaY2uA+Tm2GFnBW/tC0zObxXGiYqY+qyUX8vKg3qssG3mWqP+oqpUshN0txX6RbH8Qp1buFRlwTbL9x9Zq2pCJs3NklKivqb9mtnheIiTbfVG9kmoJIYQQBxkKcEIIIUKJApwQQohQogAnhBAilHRbkUnWd0VP09mD6FgAQQZgCzjYA+EIeQrLHtr6Ae2xkmRMVmLT1u0Wl1E7IyYmIQ9/mVgF5OEvS6jqMSsiw9KIjdN6sAzwB/RMrMMtz+wx9Swvs8vL7KzzliUVe4jOdlSGCFuY0IhCk/OSJKbGHLA1w/LMUlEDE7aQvrDEv0zcEojA00jOGzTxbzALQZYH1IKJnugxycRsZA6iZD+xdqgwx/giQhR6mZx9bDNxj7WWImxBdqxXUi0hhBDiIKPbXsEJIVp/Sbu2i8ps68VI0CsMP/Z+uZflV8FChA0FOCG6Ma4M2Hy+/e7f3hCv99DnvxIKcuJDgW5RCvEhIlPj4PSzVnxI0FIXojvT7nl8v/uS8LL8FiUTMsViEbgY0HBe110JCnEw0G0DnHPFip00SaIYZWpBpmg0ypiqjt3IYckMmWovTpIiOqbSZHZXRhlTH8WImo/pj5g9FkteyeaGJY+1FKk5amEWTBHICJoEM50h6s0AFkhMgUYTmJJ97edyhUritA9kPXrbhSXwzOUcXDuVYjbnw8t5pu1SJuC6ZvuaqR/ZvHMFHUv62gW3WJloOKCtFfuCzhmzpzOUwD459ow8u63bpKrIoMlzyf4IcByw8zVbAxlSP+IVl1N1ace/LamWEEIIcZChACeEECKUKMAJIYQIJQpwQgghQokCnBBCiFDSbVWUkaiHSAfPROaDRpMrsiSKZlJSouwhHodMJcaTVJI+kvYZVjtUNh6oZe4LyfzqmEo1TRJAWsIsJlhj22TzyBJDsnayRC3I1JuOzKalWvOcvc14JJivonOuYN865/YsU6KIY8krWftGGVPhMTUjgyZO9e32E0RlzNoxlaoBE5sGzpTMmqFrhjTP1rxxvmJqQTamLFMukr6wzKlULRkr/ZqInZeCKDH3FV3BCSGECCUKcEIIIUKJApwQQohQogAnhBAilCjACSGECCXdVkUZj0aKfO6yRJ0Xj5NhBMjoTb0fmUIqoNce6zvz8mOqJ0sVSLpIMw3TDOCknKpXyR+wzOvWqGIRWz2Xcba8i2XLph6H1LOOKbxYbaYuLC6n2ZBJG3EyXR4i8KPvtxWNRhBxHjIZe0zUzzEaKVD6Od8Bvq1IpRm9SXmOeVcy9SNTJZNyrpwuLusyDV7QjN4BldCOZC+3Fl/PHnYmeXbwNbVkzHI2v1Gi7PU8+zhrTqXt+lbbzJOWrCWmpLWObeahWbStkmoJIYQQBxkKcEIIIUKJApwQQohQogAnhBAilCjACSGECCXdVkXp5xx8rzSlDPNfYwo6S8XDVGIJ6r1mK37iJNVuhqgoPaI2K12HyJWF2ZydnZpn9yXKN6IqSyZshVdlRZlZvnv37uJtEulbkihjW4iCMEtUYuUJtsTtMbWkiXqTemMaLZP5YmrJLFW7Fu4Rb8//ysncsIzIad83PS3NuWeZzsm8MHVejBwHTK3MslwzxZ01x2xdM2iWduZrSsYUzTLltK1odMwf1dh/u5qZCjigZpSMlWXudkTFzLZqnYPYPLI14Dt7LbVkis9jyugthBDiQ40CnBBCiFCiACeEECKUKMAJIYQIJQpwQgghQkm3VVE658N19FsLmIGXZX+2sjkH9eDzmXKTtmMW8yzEzBPRGBNTH7G+M0oUrb7fF99WMllqSQDwDPVUgigC00QtyYZEPT3JmFjWcbaYqFLXUBGyLNRM5Rghfc92UD/6zsE57jHqk8Xk+7kCH0Xfz8HzPcRi8aK6zEczRsZEBIRU/cjUrj5RxfnOXh9W5nWa0TxgSm9Wnflusnb40Uc8Q011IcuMHsz/knfFbj8WIOs4QPw4SWZ7poBkSuUeZcVqbescbqErOCGEEKFEAU4IIUQoUYATQggRShTghBBChJJAAa6urg6e5xV8ampq8t8751BXV4fa2lqUl5fjjDPOwLp167q800IIIcQHEVhFOWzYMDz55JP5f7f3IJs3bx7mz5+Pe+65B0OGDMGsWbMwduxYvPbaa6isrAy0nUQsWuTryDLnMj81pgq0FF5MPWaptVgbQCdZlVmq6GDFpjKSqUWpQpPVZ958TKVKxmo78AGeofbMZFNm3SzLesyyiJNylkmdqbCYQpFh/ULk00sUcUy15/sF6sec78PzPeTI3Diipo14ETjPAfDz//Y8D+WGOSY7llgWcaZcZD6wbO0FnHZYiztI9u/OynNE7crWO1P/MZ9ZNlTrnML6wuaR7Q+P1Q94D496URobZscY8+ulqlZjq6Uul8C3KGOxGGpqavKffv36tW7QOSxYsAAzZszAhAkTcMIJJ2DJkiXYvXs3li5dGnQzQgghxD4ROMCtX78etbW1GDRoEL7+9a9jw4YNAICNGzeivr4e48aNy9dNJpMYM2YMnnvuOdpeKpXCzp07Cz5CCCHEvhIowI0aNQr33nsvnnjiCdx5552or6/H6NGjsXXrVtTX1wMAqqurC/6muro6/53FnDlzUFVVlf8MGDBgL4YhhBBCFBIowI0fPx5f+cpXcOKJJ+LMM8/Eo48+CgBYsmRJvk7H5wzOuU4dNaZPn44dO3bkP5s2bQrSJSGEEMJkn14T6NGjB0488USsX78+r6bseLXW0NBQdFXXnmQyiV69ehV8hBBCiH1ln7woU6kU/vSnP+GTn/wkBg0ahJqaGqxYsQLDhw8HAKTTaaxcuRJz584N3LbvgI5iMea+xpRGNKO1IcFhfoBMCZU1sswCXN1DszzHi/0AAZ711mqHXiEz30bSNld0BvO0dEwWaMhaqccjmS/miWj5XALcFzJOMrI75nEXQGFqKco6a4P5CkYjUbiIA5DN/9uLePA8pvKjctfCbuz5WHMfIbI6j2SNZ4K4bMbW0rKVFIkGzFAdAKaQZmSIAjRN1wbxZyTtsDnOmB659ibZ+YSpu6miM5hYmSq2rWOeqd4jZJ0ye810Nl1UVmpG70AB7nvf+x6+8IUv4IgjjkBDQwNmzZqFnTt34oILLoDneZg6dSpmz56NwYMHY/DgwZg9ezYqKiowceLEIJsRQggh9plAAe5vf/sbzjnnHGzZsgX9+vXDxz72MaxatQoDBw4EAEybNg3Nzc2YMmUKtm3bhlGjRmH58uWB34ETQggh9pVAAW7ZsmWdfu95Hurq6lBXV7cvfRJCCCH2GXlRCiGECCXdNuGpFym2t8pmmI2Q/UCbCRii1gNzlkSSlZMnoo4JBmJBpzpAkkZSlSUBZaIUZjPGEqpSQQJLdmnsD6ZHYdZmyWTCLI+TsaZS9tpIxG11BBP3MAsrMwEtTaQZ7Im+51wHgYTLC0SCtB+NRuCi7ay6ohF4zoNvtJRI2Os0Q+aRCYqY6IdLSQImCg5i3xTMyY4KL9iaZOcINpfM2iudLhausWOJCWcyxJqOiU9YAlN27oyTObDmJkaun5j4JE6ETJa1V6m5nHUFJ4QQIpQowAkhhAglCnBCCCFCiQKcEEKIUKIAJ4QQIpR0WxVlJuvDoTQ7FqZ8A7XwKm435tkKHo8oBbkqMlhSxBixKMqQpJaWeojaiTGrHKrMCqZkY6o9ZqkGYw48ptwkfd+1u8UsT8bt/cGSLno5e1AxouTiiTqNxJtmzU7s2mLMuim7J1FpK7lcDn7Oo/uJKRFzvuuQONXB8wFn7KkWktg0sKVTwLWXYzZYzrays9XEAS3lSDlTLgZNcpwmisbqPj3N8h07dxeVZYglIFNuUoUtKWf7idn5OZJF2poCpjxm85hlx4dxjnQl7mtdwQkhhAglCnBCCCFCiQKcEEKIUKIAJ4QQIpQowAkhhAgl3VZFmctl4XVQ7JQT/8AUS45JsjFa1ZkyjSYWJCoj5lcXIe0zv8hOtIgl1wyq+uIK0NL95zrrD/Ogs7sSzEDQJ4pZruYjaylNPBdZIkm7O3Yb1NeU1Pcie1Rrufy/4XnU75R6UUYiBQLDiOfB8zxTMVqetFWLaaLmSxn+ia2dsYtzxNe0OW2rKOMtRMUcLSsqI8uxk3SnLHknm1+7FaaQ9hyZM+LraSZupsrCYD6wzHOS+T/SJNLseDImPxGxw0tQpaflG8vObUX1SqolhBBCHGQowAkhhAglCnBCCCFCiQKcEEKIUKIAJ4QQIpR0WxVlsiyBeAe/x5bmtFmXOvMxWZXxF0GViAniRZkJqOZjIjSmXLSUiDQDMVFOsWlhqkimfuTZzplvY+nbZKqvFPFKZBmIEwlbJcaUby32EkOEaLxybPKtNshYmSAs4rkC77+I5+B5fK12po11Rr2M4f/omlNmG2yfMq9PqrAlnQ+6Jq1i7hdqt82ykfOM0+x6gPjJkvpsLn1DYcqOA+YVyfoSJZ667Hxl+fUCnew/o3mqQGdeuKR+U3PxRln/irZVUi0hhBDiIEMBTgghRChRgBNCCBFKFOCEEEKEEgU4IYQQoaTbqiiz6VyxXIworeLMc5Jl5jUkP5aiDOBKzJxv12cKLOYRx9SVRNyEBMn+bEH1fWQeWR+ZXx1TvvnM48/Mfk32UdRemo7ITj2mNosnzPJ0ym6HKbmY0tFSuzLVXoKsUzbvcIDvOQCtfY14UUQ8Dy5C/ACJz2PH1r09H+s4YBnsfVeaau2DYMcTUw3H6Hq36jO5JFEtkoOsR3nSLM/lmu3yDFMi2uW7iVTX6ib3dSXHGPmLLFkbPK05KWbHvHEeoyprskmmmDXnpUT1sq7ghBBChBIFOCGEEKFEAU4IIUQoUYATQggRShTghBBChJLuq6L0fcAvVNWUxZgq0lanEWGkqa4koj2qqsuQDMdM3ONFg6nHOstDXNyG/TslSzN32zBFJ1NRWt55nfXHqs9Gn8nYWY+ZNx+jsqI48zMAbGnZaZZHyH5ivoVWb9j42S6Nkm3mIkB7UaO3598RltWcZaUHCjJ6uz0ySmu7LJMzWxsZ4gnIvBKp7yap7xxTH1uK3GDrna097hVJ6pOGknH7pJIi545EvDibup+16zIPVKZSZUcN9VIl8872n6kEZt6g3D3YLI14xe3Q02bHeqVVE0IIIQ4uFOCEEEKEEgU4IYQQoUQBTgghRChRgBNCCBFKuq2KMhmPFPnQxViWZ+IryPwcTYEQUfww1V48Uax4AoAUkW4yX7oszRhO/DWNbjLtGMucy8bEsjMz302mKovHSd8NxR23lGMqLqa0ssvf295oljMvu1yudB9NwM5kHGeqSLIefZKl3HeuQL3pfAff53PAlJ7OaAe+rZhk65R5rLIdmCPqSqqCDZAZHbAVk1TBTNV8NtQflhwfbGrYXFINobVfyXxZxxIA+FkyVpZdnGZBJ36nZO3FLKU12abHjm2zFKZ0k+3Ton6VVEsIccBxMaCz10ecIacG9gQ4+/eYEKFGAU6Ig4TN37Bd6IUQNnoGJ0R3JgvE60t8q7UEYu+iLfuOEKFHV3BCdGM8eOj9SLykI5U98yl4fpjlz0CECBvdNsCl0j5yHTxw0iC2QCQpInsgGo8VD5taERFbHZ897yDPSJjFDRPOMAuvrCGCyBA7H3YiKyNJQJnIJJNlKQqDJZi09kec2XqRLbKTeJo8dA8qXqCJHll1Q7HErJ6YvoLVf9/SyAPaOZextcFyWhZ2ov0/DKsuchzQvJhMyETtykrpZPv2yReW2Crovg6YCJUJMjzjfAIAEXI8sUTMZtukPEa2yaaA9Z3ewqNiEiJ6MdsOJiiiNmBm26WhW5RCCCFCiQKcEEKIUKIAJ4QQIpQowAkhhAglCnBCCCFCSWAV5dtvv41rrrkGjz32GJqbmzFkyBAsXrwYI0aMANCqZLrxxhuxaNEibNu2DaNGjcLtt9+OYcOGBdqOgytSRTGFIpdH27KcTDZVVFaWtJWFRJvHbZGI7ilO1EcJkkyUWRo5z0gayjIuErVSqsV+YZgp6Kg1FJlf2o6hrGMJF9m+ZklWmQqW6eqYFVqEKRRJQ5YylKnB6Fip3RVR9rKkoR5TE9v1s4YFGxUiBrSyYwpmn6xVj/WddN5SBfLXHwIm/qWTwM4nxJ6PnCPY8WStYWpNx1SqBHu18z465j9G+kNE5XZd0ne2Tj3jmC91c4Fmadu2bfj4xz+OeDyOxx57DK+++ir+7d/+DYcccki+zrx58zB//nzcdtttWL16NWpqajB27Fg0NtqegEIIIcT+INAV3Ny5czFgwADcfffd+bIjjzwy/9/OOSxYsAAzZszAhAkTAABLlixBdXU1li5dikmTJnVNr4UQQogPINAV3COPPIKRI0fiq1/9Kg477DAMHz4cd955Z/77jRs3or6+HuPGjcuXJZNJjBkzBs8995zZZiqVws6dOws+QgghxL4SKMBt2LABCxcuxODBg/HEE09g8uTJuPLKK3HvvfcCAOrr6wEA1dXVBX9XXV2d/64jc+bMQVVVVf4zYMCAvRmHEEIIUUCgAOf7Pk455RTMnj0bw4cPx6RJk3DZZZdh4cKFBfU6Phh1ztGHpdOnT8eOHTvyn02bNgUcghBCCFFMoGdw/fv3x/HHH19Qdtxxx+GBBx4AANTU1ABovZLr379/vk5DQ0PRVV0byWQSyWSyqDwRjSHWQekWY4kkibqJKessz8WWlK0sHHLkR8zytzdvM8ubdjeb5UxtlkjYu8DyywSAiOE7mWZ+mUwIZRdTFRpT+bEfLUwRZ0H9/dgfMDUjk2ARWHXmC8lUgRlD6RjAarDTvngBFZ1sP/l0PxWXM6/BHJkXdowFktWBz1kQVWeEnB+YspnNL1t8TNnbWaJZC+bTaeY7JcdS0P3BFLxsXbMlzJS9Zv2AO5WpKy3fTbZPOxLoCu7jH/84XnvttYKy119/HQMHDgQADBo0CDU1NVixYkX++3Q6jZUrV2L06NFBNiWEEELsE4Gu4L7zne9g9OjRmD17Nv7lX/4Ff/jDH7Bo0SIsWrQIQOsvwqlTp2L27NkYPHgwBg8ejNmzZ6OiogITJ07cLwMQQgghLAIFuFNPPRUPPfQQpk+fjptuugmDBg3CggULcO655+brTJs2Dc3NzZgyZUr+Re/ly5ejsrKyyzsvhBBCMDwXOInS/mXnzp2oqqrCp08b/g99BsemoauewTEnk/JE3K5PnsGlAz2DC5avzXqeBHSW4670ZzsM2gapT11rArpVsP3Bpow9q7CcILrqGRzrCyunz1bZBox1QF1VAj7zCfhIFOVJe733rCh+Pg/Yj/io+w/ZZoTUT2cyZnljU7EDEmDnaASAVIbkryTuRdZzZPYMjj273t/P4BiBnsERYuQZXNzI95nN5vDU8y9hx44d6NWrF21TXpRCCCFCSbfN6B2JeEW/aJjHIbvyYH5t8XjxsJk66J3N79kdpGo+9iuSZMglnohMUWRd8bBr8CyZrzjZZox5FpKM3tQnz27GvJJgijJ2xcAmPkYuGXqW21cAzWly1Rswm3POyCTO1kCU3IGgSlLy690jc0CzcdtDNa9i2bxb4wT4WmJkc3ZnWPssW30iWnwMB8n+DQARphpmHpKkPhdjsvrsqskoZxffAX0u6UV8wHbYFb615tmdg2jAtq27NuxOTlG/SqolhBBCHGQowAkhhAglCnBCCCFCiQKcEEKIUNLtRCZtDxptKT+R/VORCXsgWlxOk0uSh9xU2EGSH1KrJ9I+67tVn20zSx7cs2fx9LUKZs9DklcGEZk4Mk4mdmBjcqQvbH75nJX28Lqz/kRoYtOgVmgs6SuZM3J8sLXqGV8wYRITgQR9JYLtvyxphyUTtabGkZXHxs9eo6EJTEl50LXK5swSdkTIumaCIoYf0GaMna/YWrXK2fnBBWzbmpe2uf2gt9y6XYBrS4y68oX/O8A9EUII0Z1pbGxEVVUV/b7bvejt+z7eeecdVFZWorGxEQMGDMCmTZs6fZkvDOzcuVNjDRkflnECGmsY6c7jdM6hsbERtbW19LUcoBtewUUiERx++OEA3r807dWrV7eb4P2Fxho+PizjBDTWMNJdx9nZlVsbEpkIIYQIJQpwQgghQkm3DnDJZBIzZ840E6KGDY01fHxYxglorGEkDOPsdiITIYQQoivo1ldwQgghxN6iACeEECKUKMAJIYQIJQpwQgghQokCnBBCiFDSrQPcHXfcgUGDBqGsrAwjRozA73//+wPdpX3m2WefxRe+8AXU1tbC8zw8/PDDBd8751BXV4fa2lqUl5fjjDPOwLp16w5MZ/eBOXPm4NRTT0VlZSUOO+wwfOlLX8Jrr71WUCcsY124cCFOOumkvOPD6aefjsceeyz/fVjG2ZE5c+bA8zxMnTo1XxaWsdbV1cHzvIJPTU1N/vuwjLONt99+G+eddx769OmDiooKfPSjH8WLL76Y//6gHa/rpixbtszF43F35513uldffdVdddVVrkePHu7NN9880F3bJ373u9+5GTNmuAceeMABcA899FDB97fccourrKx0DzzwgFu7dq372te+5vr37+927tx5YDq8l3z2s591d999t3vllVfcmjVr3Nlnn+2OOOIIt2vXrnydsIz1kUcecY8++qh77bXX3Guvveauu+46F4/H3SuvvOKcC8842/OHP/zBHXnkke6kk05yV111Vb48LGOdOXOmGzZsmHv33Xfzn4aGhvz3YRmnc8699957buDAge7CCy90zz//vNu4caN78skn3V/+8pd8nYN1vN02wJ122mlu8uTJBWVDhw5111577QHqUdfTMcD5vu9qamrcLbfcki9raWlxVVVV7qc//ekB6GHX0dDQ4AC4lStXOufCPVbnnOvdu7e76667QjnOxsZGN3jwYLdixQo3ZsyYfIAL01hnzpzpTj75ZPO7MI3TOeeuueYa94lPfIJ+fzCPt1veokyn03jxxRcxbty4gvJx48bhueeeO0C92v9s3LgR9fX1BeNOJpMYM2bMQT/uHTt2AAAOPfRQAOEday6Xw7Jly9DU1ITTTz89lOO8/PLLcfbZZ+PMM88sKA/bWNevX4/a2loMGjQIX//617FhwwYA4RvnI488gpEjR+KrX/0qDjvsMAwfPhx33nln/vuDebzdMsBt2bIFuVwO1dXVBeXV1dWor68/QL3a/7SNLWzjds7h6quvxic+8QmccMIJAMI31rVr16Jnz55IJpOYPHkyHnroIRx//PGhG+eyZcvwxz/+EXPmzCn6LkxjHTVqFO6991488cQTuPPOO1FfX4/Ro0dj69atoRonAGzYsAELFy7E4MGD8cQTT2Dy5Mm48sorce+99wI4uPdrt0uX056OmVydc2Z217ARtnFfccUVePnll/E///M/Rd+FZazHHnss1qxZg+3bt+OBBx7ABRdcgJUrV+a/D8M4N23ahKuuugrLly9HWVkZrReGsY4fPz7/3yeeeCJOP/10HH300ViyZAk+9rGPAQjHOIHWHJwjR47E7NmzAQDDhw/HunXrsHDhQnzjG9/I1zsYx9str+D69u2LaDRa9OugoaGh6FdEmGhTaYVp3N/+9rfxyCOP4Omnn87n+QPCN9ZEIoFjjjkGI0eOxJw5c3DyySfjRz/6UajG+eKLL6KhoQEjRoxALBZDLBbDypUr8eMf/xixWCw/njCMtSM9evTAiSeeiPXr14dqnwJA//79cfzxxxeUHXfccXjrrbcAHNzHarcMcIlEAiNGjMCKFSsKylesWIHRo0cfoF7tfwYNGoSampqCcafTaaxcufKgG7dzDldccQUefPBBPPXUUxg0aFDB92Eaq4VzDqlUKlTj/MxnPoO1a9dizZo1+c/IkSNx7rnnYs2aNTjqqKNCM9aOpFIp/OlPf0L//v1DtU8B4OMf/3jRKzyvv/46Bg4cCOAgP1YPlLrlg2h7TWDx4sXu1VdfdVOnTnU9evRwb7zxxoHu2j7R2NjoXnrpJffSSy85AG7+/PnupZdeyr/+cMstt7iqqir34IMPurVr17pzzjnnoJDjduRb3/qWq6qqcs8880yB1Hr37t35OmEZ6/Tp092zzz7rNm7c6F5++WV33XXXuUgk4pYvX+6cC884LdqrKJ0Lz1i/+93vumeeecZt2LDBrVq1yn3+8593lZWV+fNPWMbpXOsrH7FYzN18881u/fr17he/+IWrqKhw999/f77OwTrebhvgnHPu9ttvdwMHDnSJRMKdcsopeYn5wczTTz/tABR9LrjgAudcqyR35syZrqamxiWTSfepT33KrV279sB2ei+wxgjA3X333fk6YRnrxRdfnF+n/fr1c5/5zGfywc258IzTomOAC8tY297zisfjrra21k2YMMGtW7cu/31YxtnGb3/7W3fCCSe4ZDLphg4d6hYtWlTw/cE6XuWDE0IIEUq65TM4IYQQYl9RgBNCCBFKFOCEEEKEEgU4IYQQoUQBTgghRChRgBNCCBFKFOCEEEKEEgU4IYQQoUQBTgghRChRgBNCCBFKFOCEEEKEkv8PcjpMVXyhyOsAAAAASUVORK5CYII=", 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