From 269c03cc1995ade4027a7fc963f8345ae1f821b9 Mon Sep 17 00:00:00 2001 From: James Montgomery Date: Wed, 14 Jan 2026 14:34:03 -0800 Subject: [PATCH 1/2] Implemented mkdocs to autobuild docs; updated notebooks to execute on doc build --- .github/workflows/mkdocs.yml | 25 + .gitignore | 8 +- docs/index.md | 9 + .../MultisurfaceApplyOE.ipynb | 1121 ----------------- isotuts/NEON/data_prep.ipynb | 198 --- isotuts/NEON/neon.ipynb | 573 --------- isotuts/NEON/neon_single_pixel.ipynb | 233 ---- isotuts/__init__.py | 0 mkdocs.yml | 19 + notebooks/apply_oe.ipynb | 578 +++++++++ notebooks/neon.ipynb | 414 ++++++ notebooks/neon_single_pixel.ipynb | 268 ++++ isotuts/utils.py => notebooks/neon_utils.py | 4 +- pyproject.toml | 14 +- 14 files changed, 1331 insertions(+), 2133 deletions(-) create mode 100644 .github/workflows/mkdocs.yml create mode 100644 docs/index.md delete mode 100644 isotuts/Multisurface_ApplyOE/MultisurfaceApplyOE.ipynb delete mode 100644 isotuts/NEON/data_prep.ipynb delete mode 100644 isotuts/NEON/neon.ipynb delete mode 100644 isotuts/NEON/neon_single_pixel.ipynb delete mode 100644 isotuts/__init__.py create mode 100644 mkdocs.yml create mode 100644 notebooks/apply_oe.ipynb create mode 100644 notebooks/neon.ipynb create mode 100644 notebooks/neon_single_pixel.ipynb rename isotuts/utils.py => notebooks/neon_utils.py (98%) diff --git a/.github/workflows/mkdocs.yml b/.github/workflows/mkdocs.yml new file mode 100644 index 0000000..c33184d --- /dev/null +++ b/.github/workflows/mkdocs.yml @@ -0,0 +1,25 @@ +name: MkDocs + +on: + push: + branches: + - main + +permissions: + contents: write + +jobs: + deploy: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v6 + - name: "Set up Python" + uses: actions/setup-python@v6 + with: + python-version-file: "pyproject.toml" + - name: Install uv + uses: astral-sh/setup-uv@v7 + with: + version: "0.9.25" + - run: uv sync + - run: uv run mkdocs gh-deploy --force diff --git a/.gitignore b/.gitignore index 7439ee5..1b756bd 100644 --- a/.gitignore +++ b/.gitignore @@ -3,12 +3,12 @@ *.egg*/ *__pycache__/ -# ISOFIT output directories -isotuts/NEON/* -!isotuts/NEON/*.ipynb - # Jupyter server files .ipynb*/ # MAC .DS_Store + +# uv files +.python-version +uv.lock diff --git a/docs/index.md b/docs/index.md new file mode 100644 index 0000000..db3652a --- /dev/null +++ b/docs/index.md @@ -0,0 +1,9 @@ +# ISOFIT Tutorials + +Welcome to the ISOFIT tutorials repository! This repository contains a collection of Jupyter notebooks that serve as tutorials, examples, and further documentation for the ISOFIT project. These notebooks are designed to work seamlessly with the official ISOFIT Docker image, ensuring a hassle-free setup process. + +ISOFIT is a powerful tool for atmospheric correction of remote sensing data, particularly hyperspectral data. These notebooks provide step-by-step guides and demonstrations on using ISOFIT for atmospheric correction, making it easier for users to understand and utilize the capabilities of the ISOFIT software. + +## License + +The ISOFIT Tutorials project is licensed under the [Apache v2.0 License](https://opensource.org/license/apache-2-0/). diff --git a/isotuts/Multisurface_ApplyOE/MultisurfaceApplyOE.ipynb b/isotuts/Multisurface_ApplyOE/MultisurfaceApplyOE.ipynb deleted file mode 100644 index e9f207a..0000000 --- a/isotuts/Multisurface_ApplyOE/MultisurfaceApplyOE.ipynb +++ /dev/null @@ -1,1121 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 69, - "id": "751d5b73-a9bf-4e82-bd09-3f53a549a4ec", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "from time import time\n", - "\n", - "from matplotlib import pyplot as plt\n", - "import numpy as np\n", - "from spectral.io import envi\n", - "\n", - "import isofit\n", - "from isofit.utils.apply_oe import apply_oe \n", - "from isofit.core.common import envi_header\n", - "from isofit import ray\n", - "\n", - "BANDS = [43, 20, 12]" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "id": "6a9d5d22-3df2-4a0f-ac0a-7c622e714af7", - "metadata": {}, - "outputs": [], - "source": [ - "# Useful functions and constants\n", - "def normalize_im(data, vmin=0, vmax=15):\n", - " norm_data = (data - vmin) / (vmax - vmin)\n", - "\n", - " return norm_data" - ] - }, - { - "cell_type": "markdown", - "id": "dd6473de-84fb-45b5-a7b1-c1483258d7ff", - "metadata": {}, - "source": [ - "#
Simultaneous Retrievals of Surface Reflectance, Glint, and Atmospheric State with Isofit and ApplyOE
\n", - "\n", - "This is an end-to-end walkthrough to generate estimates of the surface reflectance, atmospheric state and water surface glint. The procedure presented leverages the ability of Isofit to apply different surface models to different groupings of pixels (multisurface mode). In this example, the instrument and radiative transfer portions of the forward model will remain constant across the entire image, but the _surface_ portion of the forward model will differ between water and land pixels. To accomodate this unique procedure, ApplyOE has to be configured in a specific manner with the correct input data. \n", - "\n", - "The outline for this tutorial is as follows:\n", - "1. Introducing the data cube\n", - "2. Generating and saving a simple water mask\n", - "3. Setting up the ApplyOE inputs\n", - "4. Executing ApplyOE\n", - "5. Examining the outputs" - ] - }, - { - "cell_type": "markdown", - "id": "6d7bec83-4ef7-4862-aaf6-5d205d2eb3b2", - "metadata": {}, - "source": [ - "## 1. Introducing the data cube\n", - "\n", - "We start with a 500x500 pixel data cube (emit20240822T090158) from the EMIT mission. The data was recorded on August 22nd, 2024 and is located off of the coast of Greece, centered approximately at Latitude: 37.457N, Longitude: 23.460W.\n", - "\n", - "Download tutorial data from PLACEHOLDER: https://avng.jpl.nasa.gov/pub/PBrodrick/isofit/tutorials/subset_data.zip. " - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "id": "960b6a1f-f0f1-4884-8b2a-bdebc388c817", - "metadata": {}, - "outputs": [], - "source": [ - "# Load the data\n", - "root = os.path.abspath(os.getcwd())\n", - "rdn_path = os.path.join(root, 'emit20240822T090158_rdn')\n", - "rdn = envi.open(envi_header(rdn_path))\n", - "rdn_im = rdn.load()\n", - "wl = np.array([float(i) for i in rdn.metadata['wavelength']])" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "id": "dbce8d73-0a39-434a-87aa-697f49a27cde", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:2024-12-20,11:29:16 || image.py:_normalize_image_array() | Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.07161255..1.1266423].\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(normalize_im(rdn_im[..., BANDS]))\n", - "plt.axis('off')\n", - "plt.title('Radiance RGB (Bands: 701nm, 530nm, 470nm)') \n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "9444a1d2-caa3-4d39-a3ac-d2e0726566dd", - "metadata": {}, - "source": [ - "## 2. Generating and saving a simple water mask\n", - "\n", - "Running Isofit in \"Multisurface mode\" requres an additional input, __an integer mask__, which maps groupings of pixels within the image to forward model configurations to use when inverting those groups. The advantage of using an integer mask is that it is flexible; one could represent pixel groupings of n-number of pixel groupings and construct a variety of different forward model configurations. The disadvantage of using an external integer mask is that the file has to be structured in a particular manner to run successfully.\n", - "\n", - "Here, I will 1) walk through a _very_ simple classification of the example image and then 2) show you how to construct the classification file correctly.\n" - ] - }, - { - "cell_type": "markdown", - "id": "e4c3bafb-7cc4-441f-8291-26818a0e8966", - "metadata": {}, - "source": [ - "### 2.1 Water classification\n", - "\n", - "There are a hundred methods to classify water from spectra. The goal here is not to provide the _best_ method to do so, but rather to present one extremely simple method to do so. \n", - "\n", - "We present a classification scheme based on the assumption that the curvature of radiance spectra at long wavelengths (> 1500 nm) will be significantly smaller for water pixels than the curvature in the equivalent spectral region for land pixels. \n", - "\n", - "The method:\n", - "1. Normalizes the spectra between 0 -> 1\n", - "2. Calculates the 95th percentile curvature of the radiance spectra for each pixel between 1500nm - 1800 nm\n", - "3. Uses a manually tuned threshold (1.8e-5) to separate water pixels (k <= thresh) from land pixels (k > thresh)\n", - "\n", - "The manually tuned threshold value will likely vary from scene-to-scene and the one used here does not necessarily represent the most accurate value across scenes." - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "id": "b9d1273a-c7ba-4be1-96c8-a7b0c1a40f5e", - "metadata": {}, - "outputs": [], - "source": [ - "# Water Masking functions\n", - "def normalize_spec(spec):\n", - " return (spec - spec.min()) / (spec.max() - spec.min())\n", - "\n", - "\n", - "def get_curvature(spec, wl, window=[1500, 1800]):\n", - " x = wl[(wl > window[0]) & (wl < window[1])]\n", - " y = spec[(wl > window[0]) & (wl < window[1])]\n", - "\n", - " z = np.polyfit(x, y, 2)\n", - "\n", - " dy1 = (2 * z[0] * x) + z[1]\n", - " dy2 = z[0] * 2\n", - " k = np.percentile(np.abs(dy2) / ((1 + (dy1**2))**(3/2)), 95)\n", - "\n", - " return k" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "id": "55b7a3a9-4647-48b1-af6d-0b7ad3e78ecb", - "metadata": {}, - "outputs": [], - "source": [ - "# Classify image - This will take ~15s\n", - "thresh = 1.8e-5\n", - "cim = np.zeros((rdn_im.shape[0], rdn_im.shape[1]))\n", - "kim = np.zeros((rdn_im.shape[0], rdn_im.shape[1]))\n", - "for r in range(rdn_im.shape[0]):\n", - " for c in range(rdn_im.shape[1]):\n", - " spec = np.squeeze(rdn_im[r, c, :])\n", - " k = get_curvature(spec, wl)\n", - "\n", - " kim[r, c] = k\n", - "\n", - " if k > thresh:\n", - " cim[r, c] = 1" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "id": "10ce5851-e3e5-47c4-b48b-eda96f712f76", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:2024-12-20,11:29:33 || image.py:_normalize_image_array() | Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.07161255..1.1266423].\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, axs = plt.subplots(1, 3, sharex=True, sharey=True, figsize=(12,5))\n", - "axs[0].set_title('Radiance')\n", - "axs[0].imshow(normalize_im(rdn_im[..., BANDS]))\n", - "\n", - "axs[1].set_title('Curvature between 1500 - 1800 nm')\n", - "axs[1].imshow(kim)\n", - "\n", - "axs[2].set_title('Water mask')\n", - "axs[2].imshow(cim)\n", - "\n", - "axs[0].axis('off')\n", - "axs[1].axis('off')\n", - "axs[2].axis('off')\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "a1c61b02-0eb5-4f78-9d0b-86b0736bb551", - "metadata": {}, - "source": [ - "### 2.2 Saving the classification image\n", - "\n", - "The water classification generated above has to be saved to a path because the inputs to the ApplyOE program are file paths. We will be saving the surface classfication image as a binary ENVI file (it's the only file type ApplyOE currently supports). We will also leverage the header (.hdr) file accompanying the binary file to carry the information of how the ApplyOE program should interpret and ultimately use the classification file.\n", - "\n", - "ENVI headers are sturctured as key-value pairs. To be succesfully ingested into ApplyOE, the classification image needs a specific header key which contains the pixel classification names for each integer value present in the image. Consider the header file key-values:\n", - "```python\n", - "header = {\n", - " 'lines': class_im.shape[0],\n", - " 'samples': class_im.shape[1],\n", - " 'bands': 1,\n", - " 'header offset': '0',\n", - " 'file type': 'ENVI Standard',\n", - " 'data type': '4',\n", - " 'interleave': 'bil',\n", - " 'byte order': '0',\n", - " 'band names': ['Classification'],\n", - " 'mapping': ['water', 'land']\n", - "}\n", - "```\n", - "\n", - "This is a one band image (name: Classification) with the line and sample numbers equal to the row-col dimensions. The critical entry to notice is the key \"__mapping__\". The associated value is a list of the surface classes (water and land). The order of the surface class list is important, and corresponds to the integer value in the classification image. I'll use python list indexing here... For example, 'water' is the 0th entry in the list, and corresponds to pixels within the image with values of 0. Alternatively, 'land' is the 1st entry in the list, and corresponds to pixels within the image with values of 1.\n", - "\n", - "We've built some flexibility into the key and value naming convention. \n", - "\n", - "ApplyOE will recognize the following key names:\n", - "```python\n", - "[\n", - " \"mapping\",\n", - " \"Mapping\",\n", - " \"class names\",\n", - " \"Class names\",\n", - " \"class\",\n", - " \"Class\",\n", - " \"surfaces\",\n", - " \"Surfaces\",\n", - " \"surface names\",\n", - " \"Surface names\",\n", - "]\n", - "```\n", - "\n", - "ApplyOE will recognize the following class names:\n", - "```python\n", - "[\n", - " \"water\",\n", - " \"glint\",\n", - " \"land\",\n", - " \"nonwater\",\n", - " \"cloud\",\n", - "]\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "id": "03af61d8-a2ff-4bb0-bc57-6f47b24d73cb", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['water', 'land']\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Let's save the classification image\n", - "header = {\n", - " 'lines': cim.shape[0],\n", - " 'samples': cim.shape[1],\n", - " 'bands': 1,\n", - " 'header offset': '0',\n", - " 'file type': 'ENVI Standard',\n", - " 'data type': '4',\n", - " 'interleave': 'bil',\n", - " 'byte order': '0',\n", - " 'band names': ['Classification'],\n", - " 'mapping': ['water', 'land']\n", - "}\n", - "\n", - "out_path = os.path.join(root, 'emit20240822T090158_rdn_class')\n", - "out = envi.create_image(\n", - " envi_header(out_path),\n", - " metadata=header,\n", - " ext=\"\",\n", - " force=True,\n", - ")\n", - "del out\n", - "\n", - "output = np.reshape(\n", - " cim, \n", - " (cim.shape[0], 1, cim.shape[1])\n", - ")\n", - "\n", - "out = envi.open(envi_header(out_path)).open_memmap(interleave='source', writable=True)\n", - "out[...] = output\n", - "del out\n", - "\n", - "# Check our work\n", - "cds = envi.open(envi_header(out_path))\n", - "cim = cds.load()\n", - "plot = plt.imshow(cim)\n", - "\n", - "print(cds.metadata['mapping'])" - ] - }, - { - "cell_type": "markdown", - "id": "1e555c56-3d63-440c-b325-d84b2669bad7", - "metadata": {}, - "source": [ - "## 3. Setting up the ApplyOE inputs\n", - "\n", - "Next, we have to correctly configure the ApplyOE run. We are running Isofit in multisurface mode, meaning that the forward model for land pixels will be different than the forward model for water pixels. For water pixels, we will be using a \"Glint surface model\" to represent the surface component of the forward model. The glint model allows us to retrieve the magnitude of sun glint and sky glint present in the scene. However, the glint model cannot be used for non-water pixels, which is why we must treat land and water pixels separately.\n", - "\n", - "Using the glint model also means that we cannot (as of 12/20/2024) use the SRTMnet emulator to generate the lookup table (LUT) used for optimization. We are limited to Modtran to generate compatible LUTs, which can be extremely time consuming. For this example, we will use a prebuilt LUT, which will produce results faster (for the example's sake), but at the cost of accuracy.\n", - "\n", - "There are many more parameters in the namespace than need to be explicitely passed into the apply_oe function. They are included here to give some context for the variables that could be passed through.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "id": "8f53fd53-8aab-4b4a-91f8-da8d301ab7a2", - "metadata": {}, - "outputs": [], - "source": [ - "# Logging\n", - "logging_level = 'INFO'\n", - "log_file = os.path.join(root, 'log.txt')\n", - "\n", - "# Inputs\n", - "input_radiance = os.path.join(root, 'emit20240822T090158_rdn')\n", - "input_loc = os.path.join(root, 'emit20240822T090158_loc')\n", - "input_obs = os.path.join(root, 'emit20240822T090158_obs')\n", - "surface_path = os.path.join(root, 'data','surface.mat')\n", - "surface_class = os.path.join(root, 'emit20240822T090158_rdn_class')\n", - "\n", - "# Signal that we are not running new RT models\n", - "prebuilt_lut=os.path.join(root, 'lut_full', 'lut_clean.nc')" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "id": "5303064c-1f1e-4088-bd88-e1f56ebfdceb", - "metadata": {}, - "outputs": [], - "source": [ - "# Define the namespace\n", - "class InputNamespace:\n", - " def __init__(self, **kwargs):\n", - " self.__dict__.update(kwargs)\n", - "\n", - "# Insert arguments here\n", - "args = InputNamespace(\n", - " analytical_line=False,\n", - " empirical_line=True,\n", - " n_cores=os.cpu_count() - 1,\n", - " ray_temp_dir='/tmp/ray',\n", - " sensor='emit',\n", - " num_neighbors=[50],\n", - " logging_level=logging_level,\n", - " log_file=log_file,\n", - " input_radiance=input_radiance,\n", - " input_loc=input_loc,\n", - " input_obs=input_obs,\n", - " config_file=None,\n", - " emulator_base=None,\n", - " lut_config_file=None,\n", - " aerosol_climatology_path=None,\n", - " working_directory=root,\n", - " surface_path=surface_path,\n", - " surface_class_file=surface_class,\n", - " copy_input_files=0,\n", - " channelized_uncertainty_path=None,\n", - " model_discrepancy_path=None,\n", - " modtran_path='dummy_path',\n", - " rdn_factors_path=None,\n", - " wavelength_path=None,\n", - " pressure_elevation=False,\n", - " multi_surface=True,\n", - " segmentation_size=400,\n", - " presolve=False,\n", - " atmosphere_type='ATM_MIDLAT_SUMMER',\n", - " surface_category=None,\n", - " prebuilt_lut=prebuilt_lut,\n", - " multiple_restarts=False,\n", - " atm_sigma=[2],\n", - " no_min_lut_spacing=False,\n", - " inversion_windows=False,\n", - " multipart_transmittance=True\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "d1634207-afdc-4af1-b3a0-05a5bce447df", - "metadata": {}, - "source": [ - "## 4. Executing ApplyOE\n", - "\n", - "Executing ApplyOE is a one line command when set up this way. When this is run for the first time, the full program will execute. Run times will vary deepending on whether analytical_line = True/False or empirical_line = True/False. Flagging either of these variables as true will initiate the super-pixel segmentation, which speeds up processing. \n", - "\n", - "If super-pixel segmentation is used, run times will be ~10 minutes.
\n", - "If super-pixel segmentation is not used, run times will be >20 minutes.\n", - "\n", - "Both cases will vary as a function of the `n_cores` passed into the program. More cores, less time. Fewer cores, more time.\n", - "\n", - "ApplyOE always checks for the presence of output files. At each stage, if the program finds the relevant outputs (e.g. segmentation will skip if the _subs files are present, Isofit.run will skip if the rfl_subs file is presnet). After the first run, that means that as long as the files remain in the output location, ApplyOE will not execute.\n", - "\n", - "This is advanageous because it means that the whole program does not have to execute every time. If you want to re-run just a portion of the workflow, simply remove the relevant outputs. The disadvantage is that if you change the ApplyOE parameters, and simply try to re-run, the program will not re-execute. You have to remove output files as if you want to re-run with different parameters." - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "id": "4df92e04-8935-4d8d-b1ca-f06276a4538d", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2024-12-20 11:29:36,799\tINFO worker.py:1781 -- Started a local Ray instance.\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | Checking input data files...\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | ...Data file checks complete\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | Setting up files and directories....\n", - "INFO:2024-12-20,11:29:37 || template_construction.py:__init__() | Flightline ID: emit20240822T090158\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | ...file/directory setup complete\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | Using inversion windows: [[380.0, 1325.0], [1435, 1770.0], [1965.0, 2500.0]]\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | No wavelength file provided. Obtaining wavelength grid from ENVI header of radiance cube.\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | Wavelength units of nm inferred...converting to microns\n", - "WARNING:2024-12-20,11:29:37 || 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:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | Observation means:\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | Path (km): 422.2906494140625\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | To-sensor azimuth (deg): 319.66961669921875\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | To-sensor zenith (deg): 7.952762603759766\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | To-sun azimuth (deg): 137.38079833984375\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | To-sun zenith (deg): 32.41744613647461\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | Relative to-sun azimuth (deg): 171.3607177734375\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | Altitude (km): 418.35074015808107\n", - "INFO:2024-12-20,11:29:37 || apply_oe.py:apply_oe() | Segmenting...\n", - "2024-12-20 11:29:37,525\tINFO worker.py:1614 -- Calling ray.init() again after it has already been called.\n", - "\u001b[36m(segment_chunk pid=45550)\u001b[0m INFO:2024-12-20,11:29:38 ||| 256: starting\n", - "\u001b[36m(segment_chunk pid=45550)\u001b[0m INFO:2024-12-20,11:29:38 ||| 256: completing\n", - "INFO:2024-12-20,11:29:39 || apply_oe.py:apply_oe() | Extracting /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/input/emit20240822T090158_subs_rdn\n", - "2024-12-20 11:29:39,050\tINFO worker.py:1614 -- Calling ray.init() again after it has already been called.\n", - "\u001b[36m(extract_chunk pid=45550)\u001b[0m INFO:2024-12-20,11:29:39 ||| Loaded ini from: /Users/bgreenbe/.isofit/isofit.ini\n", - "INFO:2024-12-20,11:29:39 || apply_oe.py:apply_oe() | Extracting /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/input/emit20240822T090158_subs_obs\n", - "2024-12-20 11:29:39,861\tINFO worker.py:1614 -- Calling ray.init() again after it has already been called.\n", - "INFO:2024-12-20,11:29:40 || apply_oe.py:apply_oe() | Extracting /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/input/emit20240822T090158_subs_loc\n", - "2024-12-20 11:29:40,061\tINFO worker.py:1614 -- Calling ray.init() again after it has already been called.\n", - "INFO:2024-12-20,11:29:40 || apply_oe.py:apply_oe() | Extracting /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/input/emit20240822T090158_subs_class\n", - "2024-12-20 11:29:40,257\tINFO worker.py:1614 -- Calling ray.init() again after it has already been called.\n", - "INFO:2024-12-20,11:29:40 || apply_oe.py:apply_oe() | Full (non-aerosol) LUTs:\n", - "INFO:2024-12-20,11:29:40 || apply_oe.py:apply_oe() | Elevation: [0.0351 0.2302 0.4253 0.6204 0.8155]\n", - "INFO:2024-12-20,11:29:40 || apply_oe.py:apply_oe() | To-sensor zenith: None\n", - "INFO:2024-12-20,11:29:40 || apply_oe.py:apply_oe() | To-sun zenith: None\n", - "INFO:2024-12-20,11:29:40 || apply_oe.py:apply_oe() | Relative to-sun azimuth: None\n", - "INFO:2024-12-20,11:29:40 || apply_oe.py:apply_oe() | H2O Vapor: [0.05 0.2975 0.545 0.7925 1.04 1.2875 1.535 1.7825 2.03 2.2775\n", - " 2.525 2.7725 3.02 3.2675 3.515 3.7625 4.01 4.2575 4.505 4.7525\n", - " 5. ]\n", - "INFO:2024-12-20,11:29:40 || apply_oe.py:apply_oe() | /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/output/emit20240822T090158_subs_state\n", - "INFO:2024-12-20,11:29:40 || apply_oe.py:apply_oe() | Writing main configuration file.\n", - "INFO:2024-12-20,11:29:40 || template_construction.py:load_climatology() | Loading Climatology\n", - "INFO:2024-12-20,11:29:40 || template_construction.py:load_climatology() | Climatology Loaded. Aerosol State Vector:\n", - "{'AERFRAC_2': {'bounds': [0.001, 1.0], 'scale': 1, 'init': 0.1009, 'prior_sigma': 10.0, 'prior_mean': 0.1009}}\n", - "Aerosol LUT Grid:\n", - "{'AERFRAC_2': [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", - "WARNING:2024-12-20,11:29:40 || template_construction.py:build_main_config() | Key surface_elevation_km not found in prebuilt LUT, removing it from LUT. Spacing would have been: {'gte': 0.0351, 'lte': 0.8155}\n", - "WARNING:2024-12-20,11:29:40 || template_construction.py:build_main_config() | Key observer_zenith not found in prebuilt LUT, removing it from LUT. Spacing would have been: {'interp': 7.9527626}\n", - "WARNING:2024-12-20,11:29:40 || template_construction.py:build_main_config() | Key solar_zenith not found in prebuilt LUT, removing it from LUT. Spacing would have been: {'interp': 32.417446}\n", - "WARNING:2024-12-20,11:29:40 || template_construction.py:build_main_config() | Key relative_azimuth not found in prebuilt LUT, removing it from LUT. Spacing would have been: {'interp': 171.36072}\n", - "INFO:2024-12-20,11:29:40 || apply_oe.py:apply_oe() | Running ISOFIT with full LUT\n", - "INFO:2024-12-20,11:29:40 || configs.py:create_new_config() | Loading config file: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/config/emit20240822T090158_isofit.json\n", - "INFO:2024-12-20,11:29:40 || configs.py:get_config_errors() | Checking config sections for configuration issues\n", - "INFO:2024-12-20,11:29:40 || configs.py:get_config_errors() | Configuration file checks complete, no errors found.\n", - "2024-12-20 11:29:40,530\tINFO worker.py:1614 -- Calling ray.init() again after it has already been called.\n", - "INFO:2024-12-20,11:29:40 || isofit.py:run() | Running surfaces: land\n", - "INFO:2024-12-20,11:29:40 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/data/wavelengths.txt\n", - "INFO:2024-12-20,11:29:40 || radiative_transfer_engine.py:__init__() | Prebuilt LUT provided\n", - "INFO:2024-12-20,11:29:40 || luts.py:load() | Loading LUT into memory\n", - "WARNING:2024-12-20,11:29:40 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: sphalb\n", - "WARNING:2024-12-20,11:29:40 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: transm_down_dif\n", - "WARNING:2024-12-20,11:29:40 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: transm_up_dif\n", - "WARNING:2024-12-20,11:29:40 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: thermal_upwelling\n", - "WARNING:2024-12-20,11:29:40 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: thermal_downwelling\n", - "INFO:2024-12-20,11:29:40 || radiative_transfer_engine.py:__init__() | LUT grid loaded from file: {'AERFRAC_2': array([0.001 , 0.001 , 0.001 , 0.001 , 0.001 , 0.001 , 0.001 , 0.001 ,\n", - " 0.001 , 0.1009, 0.1009, 0.1009, 0.1009, 0.1009, 0.1009, 0.1009,\n", - " 0.1009, 0.1009, 0.2008, 0.2008, 0.2008, 0.2008, 0.2008, 0.2008,\n", - " 0.2008, 0.2008, 0.2008, 0.3007, 0.3007, 0.3007, 0.3007, 0.3007,\n", - " 0.3007, 0.3007, 0.3007, 0.3007, 0.4006, 0.4006, 0.4006, 0.4006,\n", - " 0.4006, 0.4006, 0.4006, 0.4006, 0.4006, 0.5005, 0.5005, 0.5005,\n", - " 0.5005, 0.5005, 0.5005, 0.5005, 0.5005, 0.5005, 0.6004, 0.6004,\n", - " 0.6004, 0.6004, 0.6004, 0.6004, 0.6004, 0.6004, 0.6004, 0.7003,\n", - " 0.7003, 0.7003, 0.7003, 0.7003, 0.7003, 0.7003, 0.7003, 0.7003,\n", - " 0.8002, 0.8002, 0.8002, 0.8002, 0.8002, 0.8002, 0.8002, 0.8002,\n", - " 0.8002, 0.9001, 0.9001, 0.9001, 0.9001, 0.9001, 0.9001, 0.9001,\n", - " 0.9001, 0.9001, 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. ]), 'H2OSTR': array([2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326,\n", - " 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 ,\n", - " 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873,\n", - " 3.61 , 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646,\n", - " 3.3873, 3.61 , 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 ,\n", - " 3.1646, 3.3873, 3.61 , 3.8326, 4.0553, 2.274 , 2.4967, 2.7193,\n", - " 2.942 , 3.1646, 3.3873, 3.61 , 3.8326, 4.0553, 2.274 , 2.4967,\n", - " 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326, 4.0553, 2.274 ,\n", - " 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326, 4.0553,\n", - " 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326,\n", - " 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 ,\n", - " 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873,\n", - " 3.61 , 3.8326, 4.0553])}\n", - "INFO:2024-12-20,11:29:42 || isofit.py:run() | Beginning 257 inversions in 150 chunksusing 15 cores\n", - "\u001b[36m(Worker pid=45584)\u001b[0m INFO:2024-12-20,11:29:44 ||| Worker 11 completed 1/17.0 5.88 % complete\n", - "\u001b[36m(Worker pid=45584)\u001b[0m INFO:2024-12-20,11:29:44 ||| Worker at start location (12,0) completed 0/1\n", - "\u001b[36m(extract_chunk pid=45553)\u001b[0m INFO:2024-12-20,11:29:40 ||| 0: starting\u001b[32m [repeated 9x across cluster]\u001b[0m\n", - "\u001b[36m(segment_chunk pid=45553)\u001b[0m INFO:2024-12-20,11:29:38 ||| 0: completing\n", - "\u001b[36m(extract_chunk pid=45553)\u001b[0m INFO:2024-12-20,11:29:39 ||| Loaded ini from: /Users/bgreenbe/.isofit/isofit.ini\n", - "\u001b[36m(Worker pid=45584)\u001b[0m INFO:2024-12-20,11:29:49 ||| Worker 11 completed 15/17.0 88.24 % complete\u001b[32m [repeated 123x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45587)\u001b[0m INFO:2024-12-20,11:29:49 ||| Worker at start location (331,0) completed 1/2\u001b[32m [repeated 117x across cluster]\u001b[0m\n", - "INFO:2024-12-20,11:29:50 || isofit.py:run() | Pixel class: land inversions complete.\n", - "INFO:2024-12-20,11:29:50 || isofit.py:run() | 8.44s total\n", - "INFO:2024-12-20,11:29:50 || isofit.py:run() | 30.4613 spectra/s\n", - "INFO:2024-12-20,11:29:50 || isofit.py:run() | 2.0308 spectra/s/core\n", - "INFO:2024-12-20,11:29:50 || isofit.py:run() | Running surfaces: water\n", - "INFO:2024-12-20,11:29:50 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/data/wavelengths.txt\n", - "INFO:2024-12-20,11:29:50 || radiative_transfer_engine.py:__init__() | Prebuilt LUT provided\n", - "INFO:2024-12-20,11:29:50 || luts.py:load() | Loading LUT into memory\n", - "WARNING:2024-12-20,11:29:50 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: sphalb\n", - "WARNING:2024-12-20,11:29:50 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: transm_down_dif\n", - "WARNING:2024-12-20,11:29:50 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: transm_up_dif\n", - "WARNING:2024-12-20,11:29:50 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: thermal_upwelling\n", - "WARNING:2024-12-20,11:29:50 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: thermal_downwelling\n", - "INFO:2024-12-20,11:29:50 || radiative_transfer_engine.py:__init__() | LUT grid loaded from file: {'AERFRAC_2': array([0.001 , 0.001 , 0.001 , 0.001 , 0.001 , 0.001 , 0.001 , 0.001 ,\n", - " 0.001 , 0.1009, 0.1009, 0.1009, 0.1009, 0.1009, 0.1009, 0.1009,\n", - " 0.1009, 0.1009, 0.2008, 0.2008, 0.2008, 0.2008, 0.2008, 0.2008,\n", - " 0.2008, 0.2008, 0.2008, 0.3007, 0.3007, 0.3007, 0.3007, 0.3007,\n", - " 0.3007, 0.3007, 0.3007, 0.3007, 0.4006, 0.4006, 0.4006, 0.4006,\n", - " 0.4006, 0.4006, 0.4006, 0.4006, 0.4006, 0.5005, 0.5005, 0.5005,\n", - " 0.5005, 0.5005, 0.5005, 0.5005, 0.5005, 0.5005, 0.6004, 0.6004,\n", - " 0.6004, 0.6004, 0.6004, 0.6004, 0.6004, 0.6004, 0.6004, 0.7003,\n", - " 0.7003, 0.7003, 0.7003, 0.7003, 0.7003, 0.7003, 0.7003, 0.7003,\n", - " 0.8002, 0.8002, 0.8002, 0.8002, 0.8002, 0.8002, 0.8002, 0.8002,\n", - " 0.8002, 0.9001, 0.9001, 0.9001, 0.9001, 0.9001, 0.9001, 0.9001,\n", - " 0.9001, 0.9001, 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. ]), 'H2OSTR': array([2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326,\n", - " 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 ,\n", - " 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873,\n", - " 3.61 , 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646,\n", - " 3.3873, 3.61 , 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 ,\n", - " 3.1646, 3.3873, 3.61 , 3.8326, 4.0553, 2.274 , 2.4967, 2.7193,\n", - " 2.942 , 3.1646, 3.3873, 3.61 , 3.8326, 4.0553, 2.274 , 2.4967,\n", - " 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326, 4.0553, 2.274 ,\n", - " 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326, 4.0553,\n", - " 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326,\n", - " 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 ,\n", - " 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873,\n", - " 3.61 , 3.8326, 4.0553])}\n", - "INFO:2024-12-20,11:29:52 || isofit.py:run() | Beginning 369 inversions in 150 chunksusing 15 cores\n", - "\u001b[36m(Worker pid=45615)\u001b[0m INFO:2024-12-20,11:29:54 ||| Worker 12 completed 1/24.0 4.17 % complete\u001b[32m [repeated 40x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45604)\u001b[0m INFO:2024-12-20,11:29:54 ||| Worker at start location (116,0) completed 1/2\u001b[32m [repeated 32x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45611)\u001b[0m INFO:2024-12-20,11:29:59 ||| Worker 8 completed 16/24.0 66.67 % complete\u001b[32m [repeated 87x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45606)\u001b[0m INFO:2024-12-20,11:29:59 ||| Worker at start location (451,0) completed 2/3\u001b[32m [repeated 93x across cluster]\u001b[0m\n", - "INFO:2024-12-20,11:30:02 || isofit.py:run() | Pixel class: water inversions complete.\n", - "INFO:2024-12-20,11:30:02 || isofit.py:run() | 10.4s total\n", - "INFO:2024-12-20,11:30:02 || isofit.py:run() | 35.4954 spectra/s\n", - "INFO:2024-12-20,11:30:02 || isofit.py:run() | 2.3664 spectra/s/core\n", - "INFO:2024-12-20,11:30:02 || isofit.py:run() | All Inversions complete.\n", - "INFO:2024-12-20,11:30:02 || isofit.py:run() | 22.01s total\n", - "INFO:2024-12-20,11:30:02 || isofit.py:run() | 28.4378 spectra/s\n", - "INFO:2024-12-20,11:30:02 || isofit.py:run() | 1.8959 spectra/s/core\n", - "INFO:2024-12-20,11:30:02 || apply_oe.py:apply_oe() | rm /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*r_k\n", - "rm: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*r_k: INFO:2024-12-20,11:30:02 || apply_oe.py:apply_oe() | rm /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*t_k\n", - "No such file or directory\n", - "rm: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*t_k: INFO:2024-12-20,11:30:02 || apply_oe.py:apply_oe() | rm /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*tp7\n", - "No such file or directory\n", - "rm: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*tp7: INFO:2024-12-20,11:30:02 || apply_oe.py:apply_oe() | rm /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*wrn\n", - "No such file or directory\n", - "rm: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*wrn: No such file or directory\n", - "INFO:2024-12-20,11:30:02 || apply_oe.py:apply_oe() | rm /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*psc\n", - "rm: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*psc: INFO:2024-12-20,11:30:02 || apply_oe.py:apply_oe() | rm /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*plt\n", - "No such file or directory\n", - "rm: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*plt: No such file or directory\n", - "INFO:2024-12-20,11:30:02 || apply_oe.py:apply_oe() | rm /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*7sc\n", - "rm: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*7sc: No such file or directory\n", - "INFO:2024-12-20,11:30:02 || apply_oe.py:apply_oe() | rm /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*acd\n", - "rm: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/lut_full/*acd: No such file or directory\n", - "INFO:2024-12-20,11:30:02 || apply_oe.py:apply_oe() | Analytical line inference\n", - "INFO:2024-12-20,11:30:02 || configs.py:create_new_config() | Loading config file: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/config/emit20240822T090158_isofit.json\n", - "2024-12-20 11:30:03,001\tINFO worker.py:1614 -- Calling ray.init() again after it has already been called.\n", - "INFO:2024-12-20,11:30:03 || atm_interpolation.py:atm_interpolation() | Beginning atmospheric interpolation 15 cores\n", - "INFO:2024-12-20,11:30:05 || atm_interpolation.py:atm_interpolation() | Parallel atmospheric interpolations complete. 2.4437127113342285 s total, 102303.3513065879 spectra/s, 6820.2234204391925 spectra/s/core\n", - "2024-12-20 11:30:05,865\tINFO worker.py:1614 -- Calling ray.init() again after it has already been called.\n", - "INFO:2024-12-20,11:30:06 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/data/wavelengths.txt\n", - "INFO:2024-12-20,11:30:06 || radiative_transfer_engine.py:__init__() | Prebuilt LUT provided\n", - "INFO:2024-12-20,11:30:06 || luts.py:load() | Loading LUT into memory\n", - "WARNING:2024-12-20,11:30:06 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: sphalb\n", - "WARNING:2024-12-20,11:30:06 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: transm_down_dif\n", - "WARNING:2024-12-20,11:30:06 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: transm_up_dif\n", - "WARNING:2024-12-20,11:30:06 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: thermal_upwelling\n", - "WARNING:2024-12-20,11:30:06 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: thermal_downwelling\n", - "INFO:2024-12-20,11:30:06 || radiative_transfer_engine.py:__init__() | LUT grid loaded from file: {'AERFRAC_2': array([0.001 , 0.001 , 0.001 , 0.001 , 0.001 , 0.001 , 0.001 , 0.001 ,\n", - " 0.001 , 0.1009, 0.1009, 0.1009, 0.1009, 0.1009, 0.1009, 0.1009,\n", - " 0.1009, 0.1009, 0.2008, 0.2008, 0.2008, 0.2008, 0.2008, 0.2008,\n", - " 0.2008, 0.2008, 0.2008, 0.3007, 0.3007, 0.3007, 0.3007, 0.3007,\n", - " 0.3007, 0.3007, 0.3007, 0.3007, 0.4006, 0.4006, 0.4006, 0.4006,\n", - " 0.4006, 0.4006, 0.4006, 0.4006, 0.4006, 0.5005, 0.5005, 0.5005,\n", - " 0.5005, 0.5005, 0.5005, 0.5005, 0.5005, 0.5005, 0.6004, 0.6004,\n", - " 0.6004, 0.6004, 0.6004, 0.6004, 0.6004, 0.6004, 0.6004, 0.7003,\n", - " 0.7003, 0.7003, 0.7003, 0.7003, 0.7003, 0.7003, 0.7003, 0.7003,\n", - " 0.8002, 0.8002, 0.8002, 0.8002, 0.8002, 0.8002, 0.8002, 0.8002,\n", - " 0.8002, 0.9001, 0.9001, 0.9001, 0.9001, 0.9001, 0.9001, 0.9001,\n", - " 0.9001, 0.9001, 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. ]), 'H2OSTR': array([2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326,\n", - " 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 ,\n", - " 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873,\n", - " 3.61 , 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646,\n", - " 3.3873, 3.61 , 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 ,\n", - " 3.1646, 3.3873, 3.61 , 3.8326, 4.0553, 2.274 , 2.4967, 2.7193,\n", - " 2.942 , 3.1646, 3.3873, 3.61 , 3.8326, 4.0553, 2.274 , 2.4967,\n", - " 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326, 4.0553, 2.274 ,\n", - " 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326, 4.0553,\n", - " 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326,\n", - " 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 ,\n", - " 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873,\n", - " 3.61 , 3.8326, 4.0553])}\n", - "\u001b[36m(Worker pid=45667)\u001b[0m INFO:2024-12-20,11:30:33 ||| Analytical line writing lines: 0 to 3. Surface: land\n", - "\u001b[36m(Worker pid=45610)\u001b[0m INFO:2024-12-20,11:30:02 ||| Worker 7 completed 25/24.0 104.17 % complete\u001b[32m [repeated 47x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45610)\u001b[0m INFO:2024-12-20,11:30:02 ||| Worker at start location (625,0) completed 2/3\u001b[32m [repeated 55x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45662)\u001b[0m INFO:2024-12-20,11:30:41 ||| Analytical line writing lines: 16 to 20. Surface: land\u001b[32m [repeated 10x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45658)\u001b[0m INFO:2024-12-20,11:30:54 ||| Analytical line writing lines: 70 to 73. Surface: land\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45659)\u001b[0m INFO:2024-12-20,11:31:02 ||| Analytical line writing lines: 87 to 90. Surface: land\u001b[32m [repeated 7x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45666)\u001b[0m INFO:2024-12-20,11:31:08 ||| Analytical line writing lines: 53 to 57. Surface: land\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45654)\u001b[0m INFO:2024-12-20,11:31:15 ||| Analytical line writing lines: 104 to 107. Surface: land\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45653)\u001b[0m INFO:2024-12-20,11:31:20 ||| Analytical line writing lines: 134 to 137. Surface: land\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45662)\u001b[0m INFO:2024-12-20,11:31:25 ||| Analytical line writing lines: 144 to 147. Surface: land\u001b[32m [repeated 7x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45654)\u001b[0m INFO:2024-12-20,11:31:31 ||| Analytical line writing lines: 151 to 154. Surface: land\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45664)\u001b[0m INFO:2024-12-20,11:31:36 ||| Analytical line writing lines: 171 to 174. Surface: land\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45667)\u001b[0m INFO:2024-12-20,11:31:42 ||| Analytical line writing lines: 184 to 187. Surface: land\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45662)\u001b[0m INFO:2024-12-20,11:31:48 ||| Analytical line writing lines: 187 to 191. Surface: land\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45656)\u001b[0m INFO:2024-12-20,11:31:54 ||| Analytical line writing lines: 204 to 208. Surface: land\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45657)\u001b[0m INFO:2024-12-20,11:32:00 ||| Analytical line writing lines: 238 to 241. Surface: land\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45660)\u001b[0m INFO:2024-12-20,11:32:05 ||| Analytical line writing lines: 268 to 271. Surface: land\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45657)\u001b[0m INFO:2024-12-20,11:32:11 ||| Analytical line writing lines: 281 to 285. Surface: land\u001b[32m [repeated 10x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45655)\u001b[0m INFO:2024-12-20,11:32:16 ||| Analytical line writing lines: 325 to 328. Surface: land\u001b[32m [repeated 14x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45662)\u001b[0m INFO:2024-12-20,11:32:21 ||| Analytical line writing lines: 359 to 362. Surface: land\u001b[32m [repeated 9x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45656)\u001b[0m INFO:2024-12-20,11:32:27 ||| Analytical line writing lines: 399 to 402. Surface: land\u001b[32m [repeated 12x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45660)\u001b[0m INFO:2024-12-20,11:32:32 ||| Analytical line writing lines: 476 to 479. Surface: land\u001b[32m [repeated 20x across cluster]\u001b[0m\n", - "INFO:2024-12-20,11:32:33 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/bgreenbe/Github/isofit-tutorials/isotuts/Multisurface_ApplyOE/data/wavelengths.txt\n", - "INFO:2024-12-20,11:32:33 || radiative_transfer_engine.py:__init__() | Prebuilt LUT provided\n", - "INFO:2024-12-20,11:32:33 || luts.py:load() | Loading LUT into memory\n", - "WARNING:2024-12-20,11:32:33 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: sphalb\n", - "WARNING:2024-12-20,11:32:33 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: transm_down_dif\n", - "WARNING:2024-12-20,11:32:33 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: transm_up_dif\n", - "WARNING:2024-12-20,11:32:33 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: thermal_upwelling\n", - "WARNING:2024-12-20,11:32:33 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: thermal_downwelling\n", - "INFO:2024-12-20,11:32:33 || radiative_transfer_engine.py:__init__() | LUT grid loaded from file: {'AERFRAC_2': array([0.001 , 0.001 , 0.001 , 0.001 , 0.001 , 0.001 , 0.001 , 0.001 ,\n", - " 0.001 , 0.1009, 0.1009, 0.1009, 0.1009, 0.1009, 0.1009, 0.1009,\n", - " 0.1009, 0.1009, 0.2008, 0.2008, 0.2008, 0.2008, 0.2008, 0.2008,\n", - " 0.2008, 0.2008, 0.2008, 0.3007, 0.3007, 0.3007, 0.3007, 0.3007,\n", - " 0.3007, 0.3007, 0.3007, 0.3007, 0.4006, 0.4006, 0.4006, 0.4006,\n", - " 0.4006, 0.4006, 0.4006, 0.4006, 0.4006, 0.5005, 0.5005, 0.5005,\n", - " 0.5005, 0.5005, 0.5005, 0.5005, 0.5005, 0.5005, 0.6004, 0.6004,\n", - " 0.6004, 0.6004, 0.6004, 0.6004, 0.6004, 0.6004, 0.6004, 0.7003,\n", - " 0.7003, 0.7003, 0.7003, 0.7003, 0.7003, 0.7003, 0.7003, 0.7003,\n", - " 0.8002, 0.8002, 0.8002, 0.8002, 0.8002, 0.8002, 0.8002, 0.8002,\n", - " 0.8002, 0.9001, 0.9001, 0.9001, 0.9001, 0.9001, 0.9001, 0.9001,\n", - " 0.9001, 0.9001, 1. , 1. , 1. , 1. , 1. , 1. ,\n", - " 1. , 1. , 1. ]), 'H2OSTR': array([2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326,\n", - " 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 ,\n", - " 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873,\n", - " 3.61 , 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646,\n", - " 3.3873, 3.61 , 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 ,\n", - " 3.1646, 3.3873, 3.61 , 3.8326, 4.0553, 2.274 , 2.4967, 2.7193,\n", - " 2.942 , 3.1646, 3.3873, 3.61 , 3.8326, 4.0553, 2.274 , 2.4967,\n", - " 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326, 4.0553, 2.274 ,\n", - " 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326, 4.0553,\n", - " 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 , 3.8326,\n", - " 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873, 3.61 ,\n", - " 3.8326, 4.0553, 2.274 , 2.4967, 2.7193, 2.942 , 3.1646, 3.3873,\n", - " 3.61 , 3.8326, 4.0553])}\n", - "\u001b[36m(Worker pid=45825)\u001b[0m INFO:2024-12-20,11:32:45 ||| Analytical line writing lines: 40 to 43. Surface: water\n", - "\u001b[36m(Worker pid=45659)\u001b[0m INFO:2024-12-20,11:32:33 ||| Analytical line writing lines: 422 to 426. Surface: land\u001b[32m [repeated 10x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45830)\u001b[0m INFO:2024-12-20,11:32:50 ||| Analytical line writing lines: 26 to 30. Surface: water\u001b[32m [repeated 13x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45824)\u001b[0m INFO:2024-12-20,11:32:55 ||| Analytical line writing lines: 53 to 57. Surface: water\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45833)\u001b[0m INFO:2024-12-20,11:33:01 ||| Analytical line writing lines: 63 to 67. Surface: water\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45829)\u001b[0m INFO:2024-12-20,11:33:09 ||| Analytical line writing lines: 104 to 107. Surface: water\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45828)\u001b[0m INFO:2024-12-20,11:33:14 ||| Analytical line writing lines: 117 to 120. Surface: water\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45836)\u001b[0m INFO:2024-12-20,11:33:21 ||| Analytical line writing lines: 137 to 140. Surface: water\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45831)\u001b[0m INFO:2024-12-20,11:33:28 ||| Analytical line writing lines: 140 to 144. Surface: water\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45828)\u001b[0m INFO:2024-12-20,11:33:34 ||| Analytical line writing lines: 164 to 167. Surface: water\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45823)\u001b[0m INFO:2024-12-20,11:33:39 ||| Analytical line writing lines: 191 to 194. Surface: water\u001b[32m [repeated 6x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45832)\u001b[0m INFO:2024-12-20,11:33:44 ||| Analytical line writing lines: 187 to 191. Surface: water\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45828)\u001b[0m INFO:2024-12-20,11:33:50 ||| Analytical line writing lines: 211 to 214. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45827)\u001b[0m INFO:2024-12-20,11:33:56 ||| Analytical line writing lines: 214 to 218. Surface: water\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45832)\u001b[0m INFO:2024-12-20,11:34:01 ||| Analytical line writing lines: 248 to 251. Surface: water\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45834)\u001b[0m INFO:2024-12-20,11:34:06 ||| Analytical line writing lines: 255 to 258. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45837)\u001b[0m INFO:2024-12-20,11:34:13 ||| Analytical line writing lines: 265 to 268. Surface: water\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45833)\u001b[0m INFO:2024-12-20,11:34:18 ||| Analytical line writing lines: 261 to 265. Surface: water\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45830)\u001b[0m INFO:2024-12-20,11:34:24 ||| Analytical line writing lines: 285 to 288. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45826)\u001b[0m INFO:2024-12-20,11:34:31 ||| Analytical line writing lines: 295 to 298. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45828)\u001b[0m INFO:2024-12-20,11:34:36 ||| Analytical line writing lines: 305 to 308. Surface: water\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45829)\u001b[0m INFO:2024-12-20,11:34:42 ||| Analytical line writing lines: 315 to 318. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45823)\u001b[0m INFO:2024-12-20,11:34:48 ||| Analytical line writing lines: 325 to 328. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45836)\u001b[0m INFO:2024-12-20,11:34:54 ||| Analytical line writing lines: 335 to 338. Surface: water\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45830)\u001b[0m INFO:2024-12-20,11:35:00 ||| Analytical line writing lines: 328 to 332. Surface: water\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45837)\u001b[0m INFO:2024-12-20,11:35:06 ||| Analytical line writing lines: 359 to 362. Surface: water\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45835)\u001b[0m INFO:2024-12-20,11:35:12 ||| Analytical line writing lines: 348 to 352. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45836)\u001b[0m INFO:2024-12-20,11:35:20 ||| Analytical line writing lines: 379 to 382. Surface: water\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45832)\u001b[0m INFO:2024-12-20,11:35:27 ||| Analytical line writing lines: 375 to 379. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45837)\u001b[0m INFO:2024-12-20,11:35:33 ||| Analytical line writing lines: 399 to 402. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45835)\u001b[0m INFO:2024-12-20,11:35:39 ||| Analytical line writing lines: 409 to 412. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45831)\u001b[0m INFO:2024-12-20,11:35:48 ||| Analytical line writing lines: 426 to 429. Surface: water\u001b[32m [repeated 5x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45836)\u001b[0m INFO:2024-12-20,11:35:56 ||| Analytical line writing lines: 422 to 426. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45829)\u001b[0m INFO:2024-12-20,11:36:04 ||| Analytical line writing lines: 446 to 449. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45835)\u001b[0m INFO:2024-12-20,11:36:09 ||| Analytical line writing lines: 453 to 456. Surface: water\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45826)\u001b[0m INFO:2024-12-20,11:36:15 ||| Analytical line writing lines: 466 to 469. Surface: water\u001b[32m [repeated 4x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45827)\u001b[0m INFO:2024-12-20,11:36:20 ||| Analytical line writing lines: 473 to 476. Surface: water\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45825)\u001b[0m INFO:2024-12-20,11:36:25 ||| Analytical line writing lines: 483 to 486. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45832)\u001b[0m INFO:2024-12-20,11:36:32 ||| Analytical line writing lines: 493 to 496. Surface: water\u001b[32m [repeated 3x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=45829)\u001b[0m INFO:2024-12-20,11:36:40 ||| Analytical line writing lines: 489 to 493. Surface: water\u001b[32m [repeated 2x across cluster]\u001b[0m\n", - "INFO:2024-12-20,11:36:44 || analytical_line.py:analytical_line() | Analytical line inversions complete. 250.02s total, 999.9161 spectra/s, 66.6611 spectra/s/core\n", - "INFO:2024-12-20,11:36:44 || apply_oe.py:apply_oe() | Done.\n" - ] - } - ], - "source": [ - "ray.shutdown()\n", - "apply_oe(\n", - " args.input_radiance,\n", - " args.input_loc,\n", - " args.input_obs,\n", - " args.working_directory,\n", - " args.sensor,\n", - " args.surface_path,\n", - " surface_class_file=args.surface_class_file,\n", - " prebuilt_lut=args.prebuilt_lut,\n", - " segmentation_size=args.segmentation_size,\n", - " multipart_transmittance=args.multipart_transmittance,\n", - " analytical_line=True,\n", - " n_cores=args.n_cores\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "9b01dbba-54bd-476c-9eee-8ae58f646ecc", - "metadata": {}, - "source": [ - "## 5. Examining the outputs\n", - "\n", - "We can look at the outputs at both the superpixel level and full resolution of the original input image." - ] - }, - { - "cell_type": "markdown", - "id": "5985ee46-9198-41eb-90cb-d545e9a6f78a", - "metadata": {}, - "source": [ - "### 5.1 Reconstructing the superpixel results\n", - "\n", - "We can use built in utilities to examine the subs_ output files that are generated from running the SLIC segmented input files. The utility is run in the command line in the form of:\n", - "\n", - "```bash\n", - "isofit reconstruct_subs input_subs_path output_path lbl_working_path\n", - "```\n", - "\n", - "We can look at the help call associated with the utlity:\n" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "id": "fc97f457-f932-4159-8b6f-9e96758455f0", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Usage: isofit reconstruct_subs [OPTIONS] INPUT_SUBS_PATH OUTPUT_PATH\n", - " LBL_WORKING_PATH\n", - "\n", - " Helper function to take the flat array that the superpixel algorithms work\n", - " with and turn them into images at the full resolution of the input/output\n", - " file. They will have the full array-resolution, but appear as coarser pixel-\n", - " resolution images.\n", - "\n", - " args:\n", - "\n", - " input_subs_path: Input subs file path.\n", - "\n", - " output_path: Output reconstructed file path.\n", - "\n", - " lbl_working_path: File path to label file for reconstruction.\n", - "\n", - " returns: None\n", - "\n", - "Options:\n", - " --help Show this message and exit.\n" - ] - } - ], - "source": [ - "res = os.system(\"isofit reconstruct_subs --help\")" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "id": "d4b53dae-eec8-4403-8f74-2b73467033fb", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Done\n" - ] - } - ], - "source": [ - "# Now actually reconstruct the subs_ state file\n", - "output_root = os.path.join(root, 'output')\n", - "input_subs_path = os.path.join(root, 'output', 'emit20240822T090158_subs_state')\n", - "output_path = os.path.join(root, 'output', 'emit20240822T090158_subs_reconstruct_state')\n", - "lbl_working_path = os.path.join(root, 'output', 'emit20240822T090158_lbl')\n", - "\n", - "res = os.system(f\"isofit reconstruct_subs {input_subs_path} {output_path} {lbl_working_path}\")" - ] - }, - { - "cell_type": "markdown", - "id": "45e0dd01-27e3-41f8-be75-cc9da30e0831", - "metadata": {}, - "source": [ - "### 5.2 Superpixel results\n", - "\n", - "We can then show the superpixel results as images, rather than the flat files that they are processed in. The state file holds the solution for the full statevector. This includes both the surface reflectance solutions as well as any surface, atmosphere or instrument state. \n", - "\n", - "In this EMIT example the first 285 indices are surface reflectance, the next two are glint terms, and the final two are atmospheric elements." - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "id": "0117e3ce-81c5-4fa6-97e9-749303fd8986", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['SKY_GLINT', 'SUN_GLINT']\n", - "['AERFRAC_2', 'H2OSTR']\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/bgreenbe/micromamba/envs/isofit_env/lib/python3.10/site-packages/spectral/io/spyfile.py:226: NaNValueWarning: Image data contains NaN values.\n", - " warnings.warn('Image data contains NaN values.', NaNValueWarning)\n" - ] - } - ], - "source": [ - "state_ds = envi.open(envi_header(output_path))\n", - "state_im = state_ds.load()\n", - "\n", - "rfl_idx = [i for i in range(285)]\n", - "glint_idx = [285, 286]\n", - "atm_idx = [287, 288]\n", - "\n", - "# Glint bands\n", - "print([state_ds.metadata['band names'][i] for i in glint_idx])\n", - "# Atmospheric bands\n", - "print([state_ds.metadata['band names'][i] for i in atm_idx])\n", - "\n", - "rfl = state_im[..., rfl_idx]\n", - "glint = state_im[..., glint_idx]\n", - "atm = state_im[..., atm_idx]" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "id": "71759e10-3769-4890-a313-56411a3721bf", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:2024-12-20,11:36:50 || image.py:_normalize_image_array() | Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.009391958..1.8738134].\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot it\n", - "fig, axs = plt.subplots(2, 2, sharex=True, sharey=True, constrained_layout=True, figsize=(7, 7))\n", - "axs[0, 0].set_title('Reflectance')\n", - "rfl_plt = axs[0, 0].imshow(normalize_im(rfl[..., BANDS], vmin=0, vmax=0.1))\n", - "\n", - "axs[0, 1].set_title('Sun Glint')\n", - "sun_plt = axs[0, 1].imshow(glint[..., 1])\n", - "\n", - "axs[1, 0].set_title('AOD550')\n", - "aod_plt = axs[1, 0].imshow(atm[..., 0], vmin=.1, vmax=1)\n", - "\n", - "axs[1, 1].set_title('H2O')\n", - "h2o_plt = axs[1, 1].imshow(atm[..., 1], vmin=1, vmax=6)" - ] - }, - { - "cell_type": "markdown", - "id": "de53b24e-ca45-4cc0-be41-9f95721a79f6", - "metadata": {}, - "source": [ - "### 5.3 Results at full resolution\n", - "\n", - "Currently, the empirical line method that we used here only produces full resolution measurements of surface reflectance." - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "id": "8d87a96a-404c-4290-bd68-d7cca36d671a", - "metadata": {}, - "outputs": [], - "source": [ - "full_rfl_path = os.path.join(root, 'output', 'emit20240822T090158_rfl')\n", - "rfl_ds = envi.open(envi_header(full_rfl_path))\n", - "rfl_im = rfl_ds.load()\n", - "glint = rfl_im[..., 285:]" - ] - }, - { - "cell_type": "code", - "execution_count": 85, - "id": "8d39b506-245e-4abe-b574-ceeadbf3b569", - "metadata": {}, - "outputs": [], - "source": [ - "# Sample some spectra\n", - "water_point = [400, 100]\n", - "land_point = [100, 300]\n", - "\n", - "# RDN\n", - "rdn_water = np.squeeze(rdn_im[water_point[0], water_point[1], :])\n", - "rdn_land = np.squeeze(rdn_im[land_point[0], land_point[1], :])\n", - "\n", - "# RFL\n", - "rfl_water = np.copy(np.squeeze(rfl_im[water_point[0], water_point[1], :285]))\n", - "rfl_land = np.copy(np.squeeze(rfl_im[land_point[0], land_point[1], :285]))\n", - "\n", - "# Bad Bands\n", - "inversion_windows = [[380.0, 1325.0], [1435, 1770.0], [1965.0, 2500.0]]\n", - "bbl = np.ones(wl.shape)\n", - "for win in inversion_windows:\n", - " bbl[(wl >= win[0]) & (wl <= win[1])] = 0\n", - "\n", - "bbl = bbl.astype(bool)\n", - "\n", - "rfl_water[bbl] = None\n", - "rfl_land[bbl] = None" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "id": "e78a552c-8828-4661-b961-c1894a929065", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:2024-12-20,11:38:18 || image.py:_normalize_image_array() | Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.07161255..1.1266423].\n", - "WARNING:2024-12-20,11:38:18 || image.py:_normalize_image_array() | Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [-1.9540654..17.95917].\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 91, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot it\n", - "fig, axs = plt.subplots(2, 3, tight_layout=True, figsize=(10, 7))\n", - "axs = np.ravel(axs)\n", - "axs[0].set_title('Radiance')\n", - "rdn_plt = axs[0].imshow(normalize_im(rdn_im[..., BANDS]))\n", - "axs[0].scatter(water_point[1], water_point[0], facecolor='#3bdbc3', edgecolor='black', s=100)\n", - "axs[0].scatter(land_point[1], land_point[0], facecolor='#db3bab', edgecolor='black', s=100)\n", - "\n", - "axs[1].set_title('Reflectance')\n", - "rfl_plt = axs[1].imshow(normalize_im(rfl_im[..., BANDS], vmin=0, vmax=0.1))\n", - "axs[1].scatter(water_point[1], water_point[0], facecolor='#3bdbc3', edgecolor='black', s=100)\n", - "axs[1].scatter(land_point[1], land_point[0], facecolor='#db3bab', edgecolor='black', s=100)\n", - "\n", - "axs[2].set_title('Sun Glint')\n", - "sun_plt = axs[2].imshow(glint[..., 1])\n", - "plt.colorbar(sun_plt)\n", - "\n", - "axs[3].plot(wl, rdn_water, color='#3bdbc3', label='Water')\n", - "axs[3].plot(wl, rdn_land, color='#db3bab', label='Land')\n", - "axs[3].set_xlabel('Wavelength (nm)')\n", - "axs[3].set_ylabel('Radiance')\n", - "axs[3].legend()\n", - "\n", - "\n", - "axs[4].plot(wl, rfl_water, color='#3bdbc3', label='Water')\n", - "axs[4].plot(wl, rfl_land, color='#db3bab', label='Land')\n", - "axs[4].set_xlabel('Wavelength (nm)')\n", - "lbl = axs[4].set_ylabel('Reflectance')\n", - "\n", - "axs[5].set_title('Sky Glint')\n", - "sky_plt = axs[5].imshow(glint[..., 0], vmin=0, vmax=10)\n", - "plt.colorbar(sky_plt)\n" - ] - } - ], - "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/data_prep.ipynb b/isotuts/NEON/data_prep.ipynb deleted file mode 100644 index 36fae36..0000000 --- a/isotuts/NEON/data_prep.ipynb +++ /dev/null @@ -1,198 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# NEON\n", - "\n", - "This notebook shows some data prep for NEON datasets...if you want to skip this, you can just download the 'subsets' data for the main tutorial. To run this code, you'll first need to download and unpack the full dataset (https://avng.jpl.nasa.gov/pub/PBrodrick/isofit/tutorials/neon_full_data.zip)." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# Jupyter magics\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Setup logging\n", - "import logging\n", - "import os\n", - "\n", - "from types import SimpleNamespace\n", - "import numpy as np\n", - "\n", - "\n", - "# 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", - "indata = os.path.join(home, 'data') \n", - "subset_dir = os.path.join(indata, 'subsets')\n", - "\n", - "# Path to write isofit output\n", - "output = os.path.join(home,'outputs')\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", - "\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "markdown", - "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." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "\n", - "# 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": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from spectral.io import envi\n", - "%matplotlib inline\n", - "\n", - "offsets = {}\n", - "for key in report.keys():\n", - " rdn = envi.open(os.path.join(indata,f'NIS01_20210403_{key}_rdn_ort.hdr')).open_memmap(interleave='bip')[:,:,np.array([60,40,30])].copy()\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", - " offsets[key] = [minx,miny]\n", - "\n", - " plt.figure()\n", - " plt.imshow(rdn[miny:maxy,minx:maxx,:] / np.max(rdn[miny:maxy,minx:maxx,:],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", - " meta = envi.open(os.path.join(indata,f'NIS01_20210403_{key}_rdn_ort.hdr')).metadata\n", - " meta['map info'][3] = str(float(meta['map info'][3]) + minx*float(meta['map info'][1]))\n", - " meta['map info'][4] = str(float(meta['map info'][4]) - miny*float(meta['map info'][2]))\n", - " meta['lines'] = maxy-miny\n", - " meta['samples'] = maxx-minx\n", - " out_ds = envi.create_image(os.path.join(subset_dir, f'NIS01_20210403_{key}_rdn_ort.hdr'), meta, ext=\"\", force=True)\n", - " out_ds.open_memmap(writable=True)[:,:,:] = envi.open(os.path.join(indata,f'NIS01_20210403_{key}_rdn_ort.hdr')).open_memmap(interleave='bip')[miny:maxy,minx:maxx,:].copy()\n", - " del out_ds\n", - "\n", - " meta['band names'] = envi.open(os.path.join(indata,f'NIS01_20210403_{key}_rdn_obs_ort.hdr')).metadata['band names']\n", - " obs = envi.open(os.path.join(indata,f'NIS01_20210403_{key}_rdn_obs_ort.hdr')).open_memmap(interleave='bip')[miny:maxy,minx:maxx,:].copy()\n", - " meta['bands'] = obs.shape[-1]\n", - " del meta['wavelength'] \n", - " del meta['fwhm'] \n", - " out_ds = envi.create_image(os.path.join(subset_dir, f'NIS01_20210403_{key}_rdn_obs_ort.hdr'), meta, ext=\"\", force=True)\n", - " out_ds.open_memmap(writable=True)[:,:,:] = obs\n", - " del out_ds" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "isofit_env", - "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": "3.10.13" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/isotuts/NEON/neon.ipynb b/isotuts/NEON/neon.ipynb deleted file mode 100644 index f1788f9..0000000 --- a/isotuts/NEON/neon.ipynb +++ /dev/null @@ -1,573 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "e30eef79", - "metadata": {}, - "source": [ - "# NEON\n", - "\n", - "This notebook is an excercise in executing ISOFIT on two dates from the NEON dataset and interpreting the outputs of ISOFIT. \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": 43, - "id": "44e2871f", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data subset directory at: /Users/brodrick/repos/isofit-tutorials/isotuts/NEON/data/subsets\n", - "Surface model at: /Users/brodrick/repos/isofit/examples/20171108_Pasadena/configs/ang20171108t184227_surface.json\n", - "sRTMnet emulator path (required): /Users/brodrick/isofit_support/sRTMnet_v120.h5\n", - "6s path (required): /Users/brodrick/6s/\n" - ] - } - ], - "source": [ - "# Jupyter magics\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Setup logging\n", - "import logging\n", - "import os\n", - "\n", - "from types import SimpleNamespace\n", - "import scipy\n", - "\n", - "import isofit\n", - "from isofit.utils.apply_oe import apply_oe \n", - "from isofit.utils.surface_model import surface_model\n", - "\n", - "# 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", - "indata = os.path.join(home, 'data')\n", - "subset_dir = os.path.join(indata, 'subsets')\n", - "print(f'Data subset directory at: {subset_dir}')\n", - "\n", - "# Path to write isofit output\n", - "output = os.path.join(home,'outputs')\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 = os.path.join(isofit.root, 'examples/20171108_Pasadena/configs/ang20171108t184227_surface.json')\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", - "\n", - "\n", - "\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "markdown", - "id": "893fd5ac", - "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": "be6e2d53", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "# 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": "e3f01d1a", - "metadata": { - "tags": [] - }, - "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]\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "1b0faef2", - "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": "98252646", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Key 'band names' not found in the metadata, skipping\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Key 'band names' not found in the metadata, skipping\n" - ] - } - ], - "source": [ - "from isotuts.utils import fakeLOC\n", - "\n", - "fakeLOC(\n", - " rdn = os.path.join(indata,f'NIS01_20210403_{neon_id}_rdn_ort.hdr'),\n", - " lon = -105.237000,\n", - " lat = 40.125000,\n", - " elv = 1689.0\n", - ")\n", - "\n", - "\n", - "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": "8a2cde13", - "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": 25, - "id": "7357a326", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0 ['../../../data/reflectance/surface_model_ucsb']\n", - "1 ['../../../data/reflectance/surface_model_ucsb']\n", - "2 ['../../../data/reflectance/surface_model_ucsb']\n", - "3 ['../../../data/reflectance/surface_model_ucsb']\n", - "4 ['../../../data/reflectance/surface_model_ucsb']\n", - "5 ['../../../data/reflectance/surface_model_ucsb']\n", - "6 ['../../../data/reflectance/surface_model_ucsb']\n", - "7 ['../../../data/reflectance/surface_model_ucsb']\n" - ] - } - ], - "source": [ - "output_surface_file = os.path.join(output, 'surface.mat')\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", - "}\n", - "\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "id": "81330d85-2453-4065-bfa7-f6a09374709a", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2024-07-22 09:56:47,340\tINFO worker.py:1724 -- Started a local Ray instance.\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | namespace(input_radiance='/Users/brodrick/repos/isofit-tutorials/isotuts/NEON/data/subsets/NIS01_20210403_173647_rdn_ort', input_loc='/Users/brodrick/repos/isofit-tutorials/isotuts/NEON/data/subsets/NIS01_20210403_173647_loc_ort', input_obs='/Users/brodrick/repos/isofit-tutorials/isotuts/NEON/data/subsets/NIS01_20210403_173647_rdn_obs_ort', working_directory='/Users/brodrick/repos/isofit-tutorials/isotuts/NEON/outputs/NIS01_20210403_173647', sensor='neon', surface_path='/Users/brodrick/repos/isofit-tutorials/isotuts/NEON/outputs/surface.mat', emulator_base='/Users/brodrick/isofit_support/sRTMnet_v120.h5', modtran_path=None, n_cores=4, copy_input_files=False, wavelength_path=None, surface_category='multicomponent_surface', aerosol_climatology_path=None, atmosphere_type='ATM_MIDLAT_SUMMER', rdn_factors_path=None, channelized_uncertainty_path=None, model_discrepancy_path=None, lut_config_file=None, multiple_restarts=False, logging_level='INFO', log_file=None, num_cpus=1, memory_gb=-1, presolve=True, empirical_line=False, analytical_line=True, ray_temp_dir='/tmp/ray', segmentation_size=10, num_neighbors=[5], atm_sigma=[0.5, 0.5], pressure_elevation=False, prebuilt_lut=None)\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | Checking input data files...\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | ...Data file checks complete\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | Setting up files and directories....\n", - "INFO:2024-07-22,09:56:47 || template_construction.py:__init__() | Flightline ID: NIS01_20210403_173647\n", - "INFO:2024-07-22,09:56:47 || template_construction.py:__init__() | no noise path found, proceeding without\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | ...file/directory setup complete\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | No wavelength file provided. Obtaining wavelength grid from ENVI header of radiance cube.\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | Wavelength units of nm inferred...converting to microns\n", - "WARNING:2024-07-22,09:56:47 || 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:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | Observation means:\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | Path (km): 1.0036078691482544\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | To-sensor azimuth (deg): 153.4481201171875\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | To-sensor zenith (deg): 178.3806858062744\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | To-sun azimuth (deg): 39.8218994140625\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | To-sun zenith (deg): 39.8218994140625\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | Relative to-sun azimuth (deg): 31.813383102416992\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | Altitude (km): 2.692207074296544\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | Existing h2o-presolve solutions found, using those.\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | Full (non-aerosol) LUTs:\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | Elevation: None\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | To-sensor zenith: [177.0325 179.0392]\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | To-sun zenith: None\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | Relative to-sun azimuth: [3.80000e-03 4.12002e+01 8.23965e+01]\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | H2O Vapor: [0.6083 0.6485]\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | /Users/brodrick/repos/isofit-tutorials/isotuts/NEON/outputs/NIS01_20210403_173647/output/NIS01_20210403_173647_subs_state\n", - "INFO:2024-07-22,09:56:47 || apply_oe.py:apply_oe() | Analytical line inference\n", - "INFO:2024-07-22,09:56:47 || configs.py:create_new_config() | Loading config file: /Users/brodrick/repos/isofit-tutorials/isotuts/NEON/outputs/NIS01_20210403_173647/config/NIS01_20210403_173647_isofit.json\n", - "INFO:2024-07-22,09:56:47 || radiative_transfer_engine.py:__init__() | Loading from wavelength_file: /Users/brodrick/repos/isofit-tutorials/isotuts/NEON/outputs/NIS01_20210403_173647/data/wavelengths.txt\n", - "INFO:2024-07-22,09:56:47 || radiative_transfer_engine.py:__init__() | Prebuilt LUT provided\n", - "WARNING:2024-07-22,09:56:47 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: thermal_upwelling\n", - "WARNING:2024-07-22,09:56:47 || luts.py:load() | Detected NaNs in the following LUT variable and may cause issues: thermal_downwelling\n", - "INFO:2024-07-22,09:56:47 || radiative_transfer_engine.py:__init__() | Resampling LUT to instrument spectral response.\n", - "2024-07-22 09:56:52,015\tINFO worker.py:1558 -- Calling ray.init() again after it has already been called.\n", - "INFO:2024-07-22,09:56:52 || atm_interpolation.py:atm_interpolation() | Beginning atmospheric interpolation 4 cores\n", - "INFO:2024-07-22,09:56:53 || atm_interpolation.py:atm_interpolation() | Parallel atmospheric interpolations complete. 1.8515851497650146 s total, 2279.6683158404508 spectra/s, 569.9170789601127 spectra/s/core\n", - "2024-07-22 09:56:53,938\tINFO worker.py:1558 -- Calling ray.init() again after it has already been called.\n", - "\u001b[36m(Worker pid=25201)\u001b[0m INFO:2024-07-22,09:56:58 ||| Analytical line writing line 1\n", - "\u001b[36m(Worker pid=25201)\u001b[0m INFO:2024-07-22,09:57:05 ||| Analytical line writing line 9\u001b[32m [repeated 8x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=25201)\u001b[0m INFO:2024-07-22,09:57:11 ||| Analytical line writing line 17\u001b[32m [repeated 8x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=25201)\u001b[0m INFO:2024-07-22,09:57:18 ||| Analytical line writing line 27\u001b[32m [repeated 8x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=25201)\u001b[0m INFO:2024-07-22,09:57:25 ||| Analytical line writing line 33\u001b[32m [repeated 8x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=25201)\u001b[0m INFO:2024-07-22,09:57:31 ||| Analytical line writing line 43\u001b[32m [repeated 8x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=25201)\u001b[0m INFO:2024-07-22,09:57:38 ||| Analytical line writing line 50\u001b[32m [repeated 8x across cluster]\u001b[0m\n", - "\u001b[36m(Worker pid=25201)\u001b[0m INFO:2024-07-22,09:57:45 ||| Analytical line writing line 59\u001b[32m [repeated 8x across cluster]\u001b[0m\n", - "INFO:2024-07-22,09:57:51 || analytical_line.py:analytical_line() | Analytical line inversions complete. 57.43s total, 73.4973 spectra/s, 18.3743 spectra/s/core\n", - "INFO:2024-07-22,09:57:51 || apply_oe.py:apply_oe() | Done.\n", - "\u001b[36m(Worker pid=25202)\u001b[0m INFO:2024-07-22,09:57:48 ||| Analytical line writing line 61\u001b[32m [repeated 5x across cluster]\u001b[0m\n" - ] - } - ], - "source": [ - "# Add a ray shutdown, just in case this is being re-called\n", - "import ray\n", - "ray.shutdown()\n", - "\n", - "args = SimpleNamespace(**{\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}_rdn_obs_ort'), # Observations\n", - " 'working_directory': os.path.join(output, f'NIS01_20210403_{neon_id}'), # Output directory\n", - " 'sensor': 'neon', \n", - "\n", - " \"surface_path\": output_surface_file, # Surface priors - often changes\n", - "\n", - " 'emulator_base': os.environ['EMULATOR_PATH'],\n", - " \"modtran_path\": None,\n", - " 'n_cores': 4,\n", - " \"copy_input_files\": False,\n", - " \"wavelength_path\": None,\n", - " \"surface_category\": \"multicomponent_surface\",\n", - " \"aerosol_climatology_path\": None, # MODTRAN\n", - " \"atmosphere_type\": \"ATM_MIDLAT_SUMMER\", # MODTRAN\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", - "\n", - " \"lut_config_file\": None,\n", - " \"multiple_restarts\": False, # Useful if the AOD conditions are really challenging\n", - " \"logging_level\": \"INFO\",\n", - " \"log_file\": None,\n", - " \"num_cpus\": 1,\n", - " \"memory_gb\": -1,\n", - " \"presolve\": True, # Attempts to solve for the right wv range\n", - "\n", - " \"empirical_line\": False, # wavelength-specific local linear interpolation between radiance and reflectance\n", - " \"analytical_line\": True, # mathematical representation of OE given that the atmsophere is known\n", - "\n", - " \"ray_temp_dir\": \"/tmp/ray\",\n", - " \"segmentation_size\": 10,\n", - " \"num_neighbors\": [5],\n", - " \"atm_sigma\": [0.5, 0.5],\n", - " \"pressure_elevation\": False,\n", - " \"prebuilt_lut\": None\n", - " })\n", - "\n", - "apply_oe(args)" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "61cea885", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi8AAAGdCAYAAADaPpOnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAABpCklEQVR4nO3dd3yT1eLH8U9oS0sLbVmlIGVv2bsMGVfqQAVxgCCgDC8yHPhDUVSGXnEgFxfKVZZeVNwXFVFQKsimgiAgq0VWyxJaRnfP7480saGDtiRNAt/365VXkyfP8+SkT8Y355znHIsxxiAiIiLiJUq5uwAiIiIiRaHwIiIiIl5F4UVERES8isKLiIiIeBWFFxEREfEqCi8iIiLiVRReRERExKsovIiIiIhX8XV3AZwtKyuLo0ePUq5cOSwWi7uLIyIiIoVgjOHs2bNUq1aNUqUKrlu54sLL0aNHiYiIcHcxREREpBgOHTpE9erVC1znigsv5cqVA6xPPjg42M2lERERkcJISkoiIiLC/j1ekCsuvNiaioKDgxVeREREvExhunyow66IiIh4FYUXERER8SoKLyIiIuJVrrg+LyIiYj3tNCMjg8zMTHcXRcTOx8cHX1/fyx7KROFFROQKk5aWRnx8PBcuXHB3UURyCQwMpGrVqpQuXbrY+1B4ERG5gmRlZREXF4ePjw/VqlWjdOnSGrBTPIIxhrS0NE6cOEFcXBz169e/5GB0+VF4ERG5gqSlpZGVlUVERASBgYHuLo6IgzJlyuDn58eff/5JWloaAQEBxdqPOuyKiFyBivuLVsTVnPHa1KtbREREvIrCi4iIXFVq1arFrFmz3F0Mu/vuu4++ffsWuI6nldndFF5ERMQjFOZL/FLOnz/PE088QZ06dQgICKBy5cp0796db775xr7Opk2beOCBB+y3LRYLX3311WU97rlz5/Dz82Px4sUOy/v374/FYmH//v0Oy+vWrctTTz1V6P1fbpmjo6OxWCwFXhYsWFDo/bmbOuyKiMgVY9SoUWzcuJE333yTJk2acOrUKdauXcupU6fs61SuXNnpj1u2bFnatm3LypUr6d+/v335zz//TEREBCtXrqRu3boAHD58mNjYWHr06FHo/V9umTt16kR8fLz99sMPP0xSUhLz58+3LwsJCSnSPtPT0/Hz87uschWXal5ExCNFR0czd+5cdxdD3Kh79+489NBDPP7441SoUIHw8HCmTJlS4DZff/01Tz31FDfffDO1atWiTZs2jBs3jqFDh9rXydkEU6tWLQBuv/12LBaL/XZetUCPPPII3bt3z/exe/ToQXR0tP32rl27SE5OZvTo0Q7LV65ciZ+fH507d3bYfsaMGVStWpWKFSsyZswY0tPTi1Rm2/Nv06YNAQEB1KlTh6lTp5KRkUHp0qUJDw+3X8qUKYO/v7/99qFDh7jtttuoVKkSISEhdOvWjV9//dWhfBaLhXfeeYc+ffoQFBTE888/b6/R+fbbb2nRogUBAQF06NCB7du35/t/cgaFFxHxSEOHDmXEiBHExsa6uyjezxg4f77kL8ZcdtEXLlxIUFAQGzZs4OWXX2batGksX7483/XDw8NZunQpZ8+eLdT+N23aBMD8+fOJj4+33y6OHj16sHv3bnsNx8qVK+natSs9e/bMFV46dOjgcCr7ypUr2b9/PytXrmThwoUsWLAg32ac/Mr8/fffc++99/LQQw+xc+dO5syZw4IFC/jXv/51ybKfPXuWoUOHsnr1atavX0/9+vW5+eabc/0fJ0+eTJ8+fdi+fTvDhg2zL58wYQIzZsxg06ZNhIWFcdtttzmEL2dTeBERj/TXX38BcPr0aTeX5Apw4QKULVvyFyeM8Nu8eXMmT55M/fr1GTJkCG3btuXHH3/Md/3//Oc/rF27looVK9KuXTseffRR1qxZk+/6tuaY0NBQwsPDL6t5pnPnzvj5+dmDSnR0NN26daN169YkJiayd+9e+/KLm4zKly/Pm2++SaNGjbjlllvo3bt3vs8zvzL/61//YuLEiQwdOpQ6derQq1cvnnvuOebMmXPJsvfs2ZN7772Xxo0b07hxY+bMmcOFCxf4+eefHdYbOHAgw4YNo06dOtSsWdO+fPLkyfTq1YtmzZqxcOFCjh07xpdfflm4f1wxKLyIiEdKSUkBIDk52c0lEXdq3ry5w+2qVaty/PjxfNe/7rrriI2N5ccff+SOO+5gx44ddO3aleeee87VRSUwMJD27dvbw8vPP/9M9+7d8fX1pXPnzkRHR3Pw4EHi4uLo2bOnw7bXXnstPj4+9tuXep55iYmJYdq0aZQtW9Z+GTlyZKGmijh+/DijRo2iQYMGhISEEBISwrlz5zh48KDDem3bts1z+8jISPv1ChUq0LBhQ3bt2lWk8heFOuyKiMfJyMggIyMD+DvEyGUIDIRz59zzuJfp4g6hFouFrKysS27TtWtXunbtysSJE3n++eeZNm0aTzzxRKHn0ylVqhTmomavwjSD9OjRg8WLF7Njxw6Sk5Np3bo1AN26dWPlypWULl2agIAAOnbsmKvMORXmeV4sKyuLqVOn0q9fv1z3XWok2/vuu48TJ04wa9Ysatasib+/P5GRkaSlpTmsFxQUVOjyuHJaCoUXEfE4OQOLwosTWCxQhC+dK02TJk3IyMggJSUlz/Di5+eXa/btypUr8/vvvzss27p16yXPrunRowfPP/88H374IV26dLHXpnTr1o033njDHgqKOyx+QWVu3bo1u3fvpl69ekXe3+rVq5k9ezY333wzAIcOHeLkyZOF3n79+vXUqFEDsDb17tmzh0aNGhW5HIWlZiMR8TgKL1Jc3bt3Z86cOcTExHDgwAGWLl3KU089RY8ePQgODs5zm1q1avHjjz+SkJBg72PVs2dPNm/ezPvvv8/evXuZPHlyrjCTl06dOuHv788bb7xBt27d7MvbtWtHYmIin3/+eZFOkc5PXmV+9tlnef/995kyZQo7duxg165dLF68mKeffvqS+6tXrx4ffPABu3btYsOGDQwaNIgyZcoUujzTpk3jxx9/5Pfff+e+++6jUqVKlz1mT0EUXkTE4+QMLOrzIkVxww03sHDhQqKiomjcuDHjxo3jhhtu4JNPPsl3m1dffZXly5cTERFBq1at7Pt55plnePzxx2nXrh1nz55lyJAhl3x8W5PQ2bNnHU6r9vPzIzIykrNnzzolvORX5m+++Ybly5fTrl07OnbsyMyZMx061uZn3rx5nD59mlatWjF48GAeeughwsLCCl2eF198kYcffpg2bdoQHx/PkiVLCt1EVxwWc3GjnpdLSkoiJCSExMTEfFO2iHi2ffv2Ub9+fcB69sjIkSPdXCLvkZKSQlxcHLVr177spgmRS7GdOXX69GlCQ0MLtU1+r9GifH+r5kVEPI6ajUSkIAovIuJx1GwkIgXR2UYi4nFU8yLiHbp3757rlPKSoJoXEfE4OWtbFF5E5GIKLyLiESZMmMDUqVMB1byISMHUbCQibnf8+HFmzJgBwIABA9TnRUQKpJoXEXG7nEOQL1q0SDUvIlIghRcRcTvbPEZgDS/q8yIiBVF4ERG3yzlHS2xsLAcOHLDfVrORiFxM4UVE3O7iCeZ27Nhhv66aF/FkBw4cwGKxsHXr1nzXWbBgQaFHn5XCUXgREbfL2WwEOEyAp/By9bjvvvuwWCxYLBZ8fX2pUaMGDz74oH3iwcIoTJjIy8SJE2ncuLHDsl27dmGxWBg8eLDD8g8++AA/Pz/OnTtXqH3379+fPXv22G9PmTKFli1bFql83bt3t/9v8rrUqlWrSPvzdgovIuJ2F9e8xMbG2q8rvFxdbrzxRuLj4zlw4ADvvfceX3/9NaNHj3b54/bo0YM//viDhIQE+7Lo6GgiIiJYuXKlw7rR0dG0b9+esmXLFmrfZcqUKdIkh3n54osviI+PJz4+no0bNwKwYsUK+7JNmzYVaX/p6emXVR53K5HwMnv2bPsETG3atGH16tUFrr9o0SJatGhBYGAgVatW5f777+fUqVMlUVQRcYOLw0tO6vNydfH39yc8PJzq1asTFRVF//79+eGHHxzWmT9/Po0bNyYgIIBGjRoxe/Zs+321a9cGoFWrVlgsFoeZnQvSpUsX/Pz8iI6Oti+Ljo5mzJgxnD17ln379jksv3hm6NjYWHr06EFgYCAtWrRg3bp19vtyNhstWLCAqVOn8ttvv9lrTRYsWABAYmIiDzzwAGFhYQQHB9OzZ09+++03ACpUqEB4eDjh4eFUrlwZgIoVK9qXzZgxgwYNGhAYGEidOnV45plnHAKKrbZn3rx51KlTB39/f4wxdO/enbFjxzJ27FhCQ0OpWLEiTz/9tFtGzS0Kl4/zsnjxYh555BFmz55N586dmTNnDjfddBM7d+6kRo0audb/5ZdfGDJkCP/+97+59dZbOXLkCKNGjWLEiBF8+eWXri6uiLjBxc1GOanm5fIZY7hw4UKJP25gYCAWi6XY28fGxrJs2TL8/Pzsy959910mT57Mm2++SatWrdiyZQsjR44kKCiIoUOHsnHjRtq3b8+KFSu49tprKV26dKEeKygoiHbt2rFy5UoGDBgAwM8//8yECRP4+eefWblyJfXq1ePQoUP2oJLTpEmTmDFjBvXr12fSpEncc8897Nu3D19fx6/Z/v378/vvv7Ns2TJWrFgBQEhICMYYevfuTYUKFVi6dCkhISHMmTOHf/zjH+zZs4cKFSoUWP5y5cqxYMECqlWrxvbt2xk5ciTlypXj8ccft6+zb98+PvnkEz7//HN8fHzsyxcuXMjw4cPZsGEDmzdv5oEHHqBmzZqePZu7cbH27dubUaNGOSxr1KiRmThxYp7rv/LKK6ZOnToOy15//XVTvXr1Qj1eYmKiAUxiYmLxCiwiJW79+vUGyPNSo0YNdxfPqyQnJ5udO3ea5ORk+7Jz587l+/915eXcuXNFKvvQoUONj4+PCQoKMgEBAfb9zJw5075ORESE+fDDDx22e+6550xkZKQxxpi4uDgDmC1bthT5f/fUU0+ZBg0aGGOM2bFjhwkODjYZGRnmxRdfNAMHDjTGGLNw4ULj7+9vLly44PB47733nn0/O3bsMIDZtWuXMcaY+fPnm5CQEPv9kydPNi1atHB47B9//NEEBweblJQUh+V169Y1c+bMcVhWmOf48ssvmzZt2jg8pp+fnzl+/LjDet26dTONGzc2WVlZ9mVPPPGEady4cb77vlx5vUaNKdr3t0ubjdLS0oiJiSEqKspheVRUFGvXrs1zm06dOnH48GGWLl2KMYZjx47x2Wef0bt37zzXT01NJSkpyeEiIt7F1mxUvXr1XPep5uXq0qNHD7Zu3cqGDRsYN24cN9xwA+PGjQPgxIkTHDp0iOHDh1O2bFn75fnnn2f//v1Oeew9e/Zw9OhRoqOj6dKlCz4+PnTr1s3enBQdHU3Hjh0pU6aMw7bNmze3X69atSpgHTm6sGJiYjh37hwVK1Z0eG5xcXGFem6fffYZXbp0ITw8nLJly/LMM89w8OBBh3Vq1qxpb3LKqWPHjg41ZJGRkezdu7fA5lx3c2mz0cmTJ8nMzKRKlSoOy6tUqeLQKSqnTp06sWjRIvr3709KSgoZGRncdtttvPHGG3muP336dPt8KCLinWzNRkFBQYSFhTl86KvPy+ULDAws9Jkxzn7cogoKCqJevXoAvP766/To0YOpU6fy3HPPkZWVBVibjjp06OCwXc5mkOLq3LkzpUuXJjo6mpUrV9KtWzcA2rZtS2JiInv27GHlypXcd999ubbN2bRlCwK28hZGVlYWVatWdehzY3Op06zXr1/PgAEDmDp1KjfccAMhISF8/PHHvPrqqw7rBQUFFbo8nq5E5ja6uM3TGJNvO+jOnTt56KGHePbZZ7nhhhuIj49nwoQJjBo1irlz5+Za/8knn2T8+PH220lJSURERDj3CYiIS9l+4fn4+HDNNdc4hBfVvFw+i8XitV9ckydP5qabbuLBBx+kWrVqXHPNNcTGxjJo0KA817f1cSlOrUGZMmXo0KED0dHRrFq1igkTJgDg6+tLp06deP/99zlw4ECu/i5FVbp06Vzla926NQkJCfj6+hb5tOc1a9ZQs2ZNJk2aZF/2559/Fnr79evX57pdv359pwRCV3Fps1GlSpXw8fHJVcty/PjxXLUxNtOnT6dz585MmDCB5s2bc8MNNzB79mzmzZtHfHx8rvX9/f0JDg52uIiId7F9kPv6+uZqOkpPT/fo6mtxre7du3PttdfywgsvANazZqZPn85rr73Gnj172L59O/Pnz2fmzJkAhIWFUaZMGZYtW8axY8dITEwE4Msvv6RRo0aXfLwePXrw8ccfk5ycTOvWre3Lu3Xrxuuvv24POJejVq1axMXFsXXrVk6ePElqairXX389kZGR9O3bl++//54DBw6wdu1ann76aTZv3lzg/urVq8fBgwf5+OOP2b9/P6+//nqRTnA5dOgQ48ePZ/fu3Xz00Ue88cYbPPzww5f1HF3NpeGldOnStGnThuXLlzssX758OZ06dcpzmwsXLlCqlGOxbOnPePipWyJSPLZmI1vNy8VU+3J1Gz9+PO+++y6HDh1ixIgRvPfeeyxYsIBmzZrRrVs3FixYYD9F2tfXl9dff505c+ZQrVo1+vTpA1hPQ969e/clH6tHjx6cPXuWzp07O5wp1K1bN86ePUunTp3w9/e/rOdzxx13cOONN9KjRw8qV67MRx99hMViYenSpVx33XUMGzaMBg0aMGDAAA4cOJDvj32bPn368OijjzJ27FhatmzJ2rVreeaZZwpdniFDhpCcnEz79u0ZM2YM48aN44EHHris5+hyLulKnMPHH39s/Pz8zNy5c83OnTvNI488YoKCgsyBAweMMcZMnDjRDB482L7+/Pnzja+vr5k9e7bZv3+/+eWXX0zbtm1N+/btC/V4OttIxPt88803BjBt27Y1zz//fK6zVk6ePOnuInqN/M7kEMlLt27dzMMPP1yij+mMs41c3uelf//+nDp1imnTphEfH0/Tpk1ZunQpNWvWBCA+Pt6hR/R9993H2bNnefPNN3nssccIDQ2lZ8+evPTSS64uqoi4ia3mxdfXVzUvInJJJdJhd/To0fkO72wbWTCncePG2U+NE5ErX84OuzpdWkQupUTCi4hIQXJ22M2r5kWnS4u4Rl6nZnsDTcwoIiXGGMOmTZtyjTmiDrsiUhQKLyJSYhYvXkz79u257rrrHJbnbDbKOdxB+fLlAYUXEXGk8CIiJWbhwoUAbNmyxWF5zmYjgIMHD/L777/bB5xUeCk6o6ElxEM547WpPi8iUmLyG1k7Z7MRYA8tAQEBgPq8FIVtmPoLFy7kmn9HxBPYZjjPOaVCUSm8iIjb5Ww2ysn25aual8Lz8fEhNDTUPsVCYGBgvqFRpCQZY7hw4QLHjx8nNDT0sqYfUHgRkRKT35foxc1GNraaF4WXogkPDweKNquxSEkJDQ21v0aLS+FFRNzu4mYjGzUbFY/FYqFq1aqEhYWRnp7u7uKI2Pn5+TllwkeFFxEpMZeqeckvvKjmpXh8fHw8emZgkeLS2UYiUmIu1WH34mYj9XkRkbwovIhIiVHNi4g4g8KLiLjdpTrsqs+LiOSk8CIiJaaw47zYqOZFRPKi8CIibpFzlE2N8yIiRaHwIiIlJmfNS1pamv26mo1EpCgUXkSkxOQXXtRsJCJFofAiIiUmZ3hJTU21X1ezkYgUhcKLiJQYWw0LFK3ZSOFFRHJSeBGREpMzsOSsedH0ACJSFAovIlJicoaXvGpe1OdFRApD4UVESsylal40PYCIFIbCi4iUmPzCi2peRKQoFF5EpMQUt9lIfV5EJCeFFxEpMenp6fbrajYSkeJSeBGREqMOuyLiDAovIlJiLtXnRdMDiEhhKLyISInJr+blUuO8ZGRkOAxwJyJXN4UXESkxedW8fPnll8TExAD5Tw+Qc30REd9LryIi4hwX17zExMTQr18/+7KLm438/f3t11NSUggKCnJ9IUXE46nmRURKzMU1L7///rvD/RfXvPj4+ODn5weo34uI/E3hRURKhDHG4VTptLQ0srKyHNa5OLyAzjgSkdwUXkSkRGRmZmKMsd9OTU3NFV4ubjYCjfUiIrkpvIhIicjZZGS7nTPMQME1L2o2EhEbhRcRKREXh5e8al4UXkSkMBReRKRE5FXzcvHYLXk1G4WFhQFw8OBB1xVORLyKwouIlIi8al4u7seSV81LmzZtANi8ebPrCiciXkXhRURKRF41LxcuXHBYllfNS7t27QDYtGmT6wonIl5F4UVESkTO06TBWvNycXjJq+albdu2AGzZskVTBIgIoPAiIiUkr2ajizvh5hVe6tevT7ly5UhOTmbXrl0uLaOIeAeFFxEpEcVtNipVqhTNmjUDUHgREUDhRURKSF41L4VpNgKoVq0aAMeOHXNN4UTEq5RIeJk9eza1a9cmICCANm3asHr16gLXT01NZdKkSdSsWRN/f3/q1q3LvHnzSqKoIuIiedW8FKbZCKBKlSqAwouIWLl8VunFixfzyCOPMHv2bDp37sycOXO46aab2LlzJzVq1Mhzm7vvvptjx44xd+5c6tWrx/Hjx9VRT8TL5VXzYrFYHJbl1WwEEB4eDkBCQoJrCiciXsXl4WXmzJkMHz6cESNGADBr1iy+//573n77baZPn55r/WXLlvHzzz8TGxtLhQoVAKhVq5ariykiLlbcEXZBNS8i4silzUZpaWnExMQQFRXlsDwqKoq1a9fmuc2SJUto27YtL7/8Mtdccw0NGjTg//7v//IdGjw1NZWkpCSHi4h4notPlU5JSSl0s5FqXkQkJ5fWvJw8eZLMzEz7ryabKlWq5PshFBsbyy+//EJAQABffvklJ0+eZPTo0fz111959nuZPn06U6dOdUn5RcR5Lq55SU5OzhVW8ms2Us2LiORUIh12L27XNsbkWmaTlZWFxWJh0aJFtG/fnptvvpmZM2eyYMGCPGtfnnzySRITE+2XQ4cOueQ5iMjlsYWXkJAQAC5cuFDos41sNS/Hjh3DGMOuXbsYM2aM5jsSuUq5NLxUqlQJHx+fXLUsx48fz1UbY1O1alWuueYa+wccQOPGjTHGcPjw4Vzr+/v7Exwc7HAREc9jCy+292hycnKuHyT51bzYJmdMS0vjzJkzjB8/ntmzZ9OhQwd15he5Crk0vJQuXZo2bdqwfPlyh+XLly+nU6dOeW7TuXNnjh49yrlz5+zL9uzZQ6lSpahevboriysiLmQLKuXLl7ffLmzNS0BAAKGhoQAcOnSIZcuWAdY+MHPmzHFRiUXEU7m82Wj8+PG89957zJs3j127dvHoo49y8OBBRo0aBVibfYYMGWJff+DAgVSsWJH777+fnTt3smrVKiZMmMCwYcMoU6aMq4srIi6SmJgIWGtXoWjhBf7u9/L55587LF+8eLEziykiXsDl4aV///7MmjWLadOm0bJlS1atWsXSpUupWbMmAPHx8Q7t1mXLlmX58uWcOXOGtm3bMmjQIG699VZef/11VxdVRFzo4vCSkZGR6wyk/JqN4O9+L3PnzgWgW7duAKxZs4ZTp06p+UjkKlIiHXZHjx7NgQMHSE1NJSYmhuuuu85+34IFC4iOjnZYv1GjRixfvpwLFy5w6NAhXn31VdW6iHi5M2fOAH+Hl7wUVPPSsGFDAI4cOQLA/fffT4sWLcjKymLUqFEEBgbywgsvOK/AIuKxNLeRiJQIW3jJr7M+FBxebJMz2rRu3Zrbb78dgM8++4z09HQmTZqU75hQInLlUHgRkRJhCy/ly5fPtya1oGaj5s2b26/7+/vTqFEjHnvsMXsTtM2HH354+YUVEY+m8CIiJcLW5yU0NDTf8FLYmpcaNWrg5+dH2bJlWbFiBQMHDqRfv36AtZn6s88+c2LJRcTTKLyISImw1bwUN7zYTrEG8PPzs1+vV68eixYt4r///S99+vQhLS2NCRMmYIxxTsFFxOMovIhIibCFl5CQkGI1GwFcc801ANx555257itTpgwffvghgYGBHDhwgM2bN19egUXEYym8iEiJuNxmI4DVq1fzxhtv8Mwzz+R5f2BgILfccgsAn3zyyWWUVkQ8mcKLiLhcSkoKKSkpQMHhJb85z2xq167N2LFjC6yh6d+/PwDz5s3jr7/+KmaJRcSTKbyIiMvZal0sFgvlypUjMDDQfp+zx3C67bbbuPbaa/nrr7947rnnnLpvEfEMCi8i4jK//vorXbt2ZcWKFYB1UsZSpUo5BJbKlSs79TF9fX155ZVXAJg/f36uUXxFxPspvIh4mQ0bNvDkk0/y66+/ursol9SnTx9++eUX7r33XgD75Io5w0uDBg2c/rhRUVGEhYWRmJjIqlWrnL5/yS09PZ2srCx3F0OuEgovIl5kxYoVdOzYkRdffJGBAwd69OnAxhgOHz7ssCyv8NKrVy+eeeYZ5s2b57TH9vHxsXfcXbJkidP2e7FTp07x3nvvsW7dOpc9hjfYvn07ZcuWZeLEie4uilwlFF5EvIhtUkKA3bt3s2rVKuLj42nbti0jR450Y8ly27VrV65lISEhgGN4CQ0NZdq0adx///1OffzbbrsNgHfeecepwcgmNjaWevXqMXLkSG6++earunnqhRdeIC0tjVdeecWjA7VcORReRApgjCEhIYG4uDi3z1qclpbG0qVLgb+Hyp81axZ33HEHMTExvPfee2zdutWNJXT0008/5VqWV82LbZmz9e7dm759+5KWlsbo0aM5e/as0/ZtjOGhhx6yj11z5swZNm3a5LT9e5sLFy7Yr+/YscONJZGrhcKLSA7GGJ555hmef/55kpOT6dWrF1WrVqVOnTrUqFGD48ePu61s0dHRJCUlUaVKFRYuXAjAV1995dBk8dprr7mlbHv37mXx4sUYYzhy5AhvvfUWL7/8MgCdO3e2r2fr35LzbCNXhRdfX1+++OILGjZsSGpqqlObj5YsWcK3336Ln58fTZs2BaxNelOmTOHZZ5+96mofdu7cab++cuVKN5ZErhrmCpOYmGgAk5iY6O6iiBfatm2bAfK9vP/++24r24QJEwxg7r//fmOMMXfffbe9XA8//LABjJ+fn9m3b585ffp0iZUrOTnZ1KhRwwBm/vz5pkmTJvZyBQcHm7/++sscOXLELF261CQlJRljjJkyZYp9nQ0bNri0fM8++6wBzG233eaU/Z0/f97UrFnTAGbixIlm9uzZuV4n27dvd8pjeYOkpCSH5963b193F0m8VFG+vwsei1vkKvPjjz863Pb19eWHH37gm2++YebMmfzyyy8MHjzYLWVbs2YNAN26dQNg+vTprF+/nuuvv55///vfbNu2jZUrV1KvXj0AwsPD6d69Oz169ODYsWO0bNmSWrVqsX//fm699dZLjmZboMxMyMgAY3hj5kwOHjwIkKvfyoQJEyhfvjzly5enWrVq9uUl0Wxk079/f6ZNm8a3337Lli1baNWqVf4rGwPJyXDuHJw///flwgUoXRoCA/m/V17hzz//JCIigqeffpojR47k2s13331nr5G50m3bts3h9vfff8+5c+coW7asm0okVwOFF5EcbOORAPTs2ZPnn3+eyMhIzpw5w8yZM+0BoqSlpKTY5+rp0qULAHXq1OHPP/+0rzN58mSHKvuEhAQ+/vhjPv7441z76969O9WrV+fw4cMkJycz7r77GNS0KRw5AvHx1svRo9a/p09bv7xzfpmnpgLWn9pv5lHe94KCqBMWRveYGHj8cahXD+rXh06dwN8ff39/+7quDi9NmjTh7n79+OSLLxh5111sGjsWy6FDcPCg9XLihGNIyafJ5zQwDPgq+/bcEycI6t2bBoMG8c5bb7F73z7i4uL46quv+O6775gwYYJLn5en+OOPPwC48cYb2b9/P3v37mXJkiUMHDjQzSWTK5nFmCurcTYpKYmQkBASExMJDg52d3E8VkJCAps3b+bbb7/lr7/+4p577qFv377uLpZbnDp1inLlygFQsWJFzp07x5YtW2jZsqV9nWPHjhEeHg5g79Pw+OOP239dnjx5kkWLFtGhQwdatWrl8OVcaMZASgokJcHZs/a/JjCQ1777jkcnT6ZKlSrEx8fnO4z+vHnzSE9P5+6772bbtm2MGzeOAwcO0L17d2JiYjh69Gi+D98AyARuB3oCi4AoYEgBRY4F6gJ+wMvAYuAZ4Ob8NihfHgYNYkaZMkzIHkguJSWleP+vixljDSMbNsDOnbB/v/1y7Phx6gLngTVAp8Lsr0wZCAqCoCBMmTLcfegQn50/TylgqsXC0zk/Ojt0gE8/ZW9KCg0aNMDPz4+jR49SqVKly39eHu7111/n4Ycfpn///jRo0IDnnnuOnj17smLFiktO9yCSU5G+v13dhlXSvKXPS1ZWllm9erU5f/58iT/2mjVrTEBAQK52+ptvvtm88sorJjk5ucTL5C6LFi0yfn5+JioqyixYsMAAJjw83GRmZuZat2HDhg7/rxEjRpgLFy6YBQsWmNq1atmX+/j4mC5t25r6NWqY+6OiTPQzz5gT//qXMU8/bVKHDzcHevc2566/3mRERpqvatY0H1eqZLJCQ43x9TXG+hXscHkhx2Pe0bSpMSkpfxfq+HFjvvnGmMWLjfnxR2NiY43JyrLfnZmZadLS0ozJyjIZP/1kLtx7r9kSEGCeBPMymA/BPA3Gp4B+PnMfftiY6GhjNm0yZscOYw4csD7u6dNm7htvGMB07tjRmMREY44dMyYuzpjffzdm6VJj3njDmIcfNqZ3b2OqVrU/p+dz7N+8+aYxq1cbc+FC0Q7eyZPGfP65MRMnGtOrlzEVK+b5/7Ndhvr72x/z3saNzZt33mk+HD/eLHn5ZZO5ZYsx+/YZk5BgNq9aZa7/xz9McHCw6dOnj/nuu+/MrbfeagDj6+tr1q5da0xGhvV/8corxoSGWh8jLMyY6GjTunVrA5hRo0YV5yXpdV566SUDmKFDh5q9e/caPz8/A5jZs2e7u2jiZYry/a3w4ibPPPOMAcw999xTYo+ZmppqxowZY4KCguwfxH379jU33XSTw5dVq1atzC+//GLOnTtnVq1aZd5++20zevRo88cff5RYWV0hKyvLbNu2zbzwwgumYsWKply5cnl+Wb84fLgxn3xizLvvGjNjhjHPPGPM6NFmTY8e5p7wcBOe/eGc18U/n+XVwIwAE2zryAqmZo77W4AZD2YmmF5gZvj7m6fKljUPly9vX6c+mE1gTMOGxkyfbsydd+YdeEJCjOnWzRoa3nrLmCefNKZuXcd1atQw5t57jXn7bWPWrzd/xMSYF154wTz66KOmadOmpnLlyg5h7KuvvjK9evUy7dq1M+3atTPdu3c3jz76qH2dp59++tIHICPDmGXLjGnXzjyTM7zYLsHBxnTpYszQocZMm2bMhx8as2GDNaRkZhqza5cxCxYYM2qUMS1aGGOx5H7uvr7GtG5tzLBhxrzwgvU4xsQYc+aMiY6Ozve4de3a1cyYMcPMmjXLBAYG5rlOqVKlzGuvvZb7ecXFGdO8ufXxLRYTPWiQff1Dhw458yXskaZOneoQ1mbMmGEAU69ePTeXTLyNwouHhpeMjAyzfPlye3CxXVwdCrKyssz//vc/061bN/tjRkZGmnPnzhljjElPTzd33323wxdWXpeyZcuaIUOGmKeeesrs3r3b/O9//zPHjx93foEzM405e9b6K/7AAWP++MOYLVuMWbvWmBUrjPn6a/P+2LHm3fvvN+lvvWXMzJnGPP+8MU89ZdIfecRc+Oc/jRkxwpjBg425/XZjevY039evb5rmUdtkueh2BTBJBfx6t10m5timCpjJYE6CyQLzOhjf7H37WywF/k/L5xOgLr60bN7cZL77rjFVquQuT5MmxnTtakyjRsb4+eVf7rJljRk+3FrLkaN2pqDXzaDsL+JLXVasWFGkQ/zyCy/8HV5uvtmY8PCC/+f5Pa8mTazH+p13rDVDOWulcr2sMs2AAQNMt27dzDPPPGN69eplGjRokOfziYqKMqtWrTI33HCDAUzHjh0Lfp+eO2cNTNnlapl9XL/44osi/V/cauNGYxISirzZk08+aQDzyCOPGGOM2bt3r/3zQqQoivL9rT4vJSQjI4M777yT//3vf7nuu+666/jkk0+oUqXKJfdz/vx5tm7dSo0aNYiIiLAvX7t2Le+99x4jR44kMjLSYZu5c+cyYsQI++1Zs2Yxbtw4SpXKPcxPfHw8Tz/9NIsWLSI1NZVrrrmGOnXqEBcXl2uod4CgoCCioqKoXbs29wwYQNtrr4UzZyAx0XopzPVz56x9PM6e/fssj3ysARYC72bf7gT8F/gL2ARMAxKAGtn3twd+B2xjvQYAjYHBwPVATeBM9n4qlyrFfypXpl1YGISEOF4qVIAqVazXg4MhOJjV+/fz844djBg0iPCGDa19JFJSIDCQsxcuULZsWYwxnDp1itGjR1O2bFnuu+8+unTpwrfffsv58+fp27cva9asYdGiRXz44YekpaUB1nFQ+vTpg8ViYdeuXcyePZuOHTta/2/vvAObN0OtWjB0KDRr9vc/KC0N/vgDtm61XvbuhUqVoFcv6NPH2oejCJKTk+nXrx/Lli0DoGXLljRu3JjMzEzS0tIICwujcuXKTJs2Lc/XU37OnTvHXXfdxe23384DDzxgPXvpt99gzx5rP5V9+/7us2Lrp1OmDLRpAx07WvuYdOkC2f2QLsf27dv59NNPWb58Ob/99huPP/44Tz31FKVLlyYrK4s//viDBg0a4OtbiPMbPvsM7ruP+8+fZwHWTtRTpky57DK63DffwK23Wq+PGQOVK8P8+TBnDtxwQ4Gbjh8/nn//+99MnDiR6dOnc/r0aSpUqAA4sT+TXBXU58UDa16efvpp+6+63r17mw8//NDExMTYq6h9fX3NhAkTTGZmpjl27Ji5cOGCOX/+vL3/SUx2tX6VKlX+/tVevrwpXbq0adOmjbFk/8K3WCymU6dOpnPnzqZLly5m5MiRpkyZMvZtHnjgAZNV0K/urCxjzpwxZ7duNfs//dRkLVlizPvvm4xZs8z3Q4aYyR07mnr51BaUAjMBTPJFv47Pg0kvRG3GxZdNYN7z9TWT/P3NkDJlTPscfRaKeilVqpQZe9tt5vRnnxnzww/W2oft2405eNCYxESTlZFRQq+E/O3Zs8d88sknJiMjo+BjVMIyMjLMggULzMqVK91TgPPnjdm/35i0NJc/VF59nYrs66/NrOzXXd9//OPy91cSJkzI/714xx3GFNAPbtSoUQYwU6ZMMcZY/4c+Pj4GMEeOHMl3u5SUFJNQjJoeuXKp5sXDal5OnTpFzZo1OX/+PIsWLXI4hXDbtm2MHDmSjRs3Atb5WJYvX05ycjJgnQumVatWREdHO+zTYrEUaRTPFi1asHnTJnwTE/8+RfTgQfjzz7+vHzliPW00+9d/fpKAD4E2wMdAMNbajc+y728NvBoUxE++vqxIT2dTcjJBPj6816kTdzZvDqGh9hqNzSdPMnvlSv41ejR+oaG8+cUXHD51inW//srO7FMw89K3b18GDBjAgAED7Mv8/Px48cUXad++Pdu3bycoKIg///yT5s2b07lz56vizA/xDNFdutBjzRpqlStHXFKSu4uTP2Pgq6+sp7Pv23fp9Vu0gHbtrLV/2eME3X///SxYsIAXX3yRJ554AoCwsDBOnDjBtm3baJazZjBbRkYGPXv2ZP369cTExOS5jlx9ivL9rXFeSsDrr7/O+fPnadmyJffcc4/Dfc2bN2fDhg28//773H///bmGME9MTLQHlxYtWtCyZUtmzJjBhQsX2L17NyEhIezbt49q1apx3XXXEbt/P6u//ZZyp09zdv9+Vm7aRL3MTEafP49vaKh1HIvCCAqyVh1XqmQ9vTU01HopX57g0FBGhYRAaCjtsv8SEsLXGzcy/Ikn+PXkSXpc1PSTmJHBXatW8WqfPgwYMICyZcvi6+tLu+xmjHgfHw4fPszvv//usN31119PvXr1CAsLY8mSJbRu3Zr//Oc/9gHW9u/fz5EjR5g8eTIWi4XKlSsDf4+FIuIOLR57DNas4cDZsySeOkVIxYol+vjGGHbt2kXjxo0LPl357rutTV15uflmyJ5Ly+6336yX666D7MEaU1JSAMeBBytWrMiJEyc4efJknrt+9dVXWb16NWBt1p41a5a1uXjjRutjBgaSNXQo0QcO0KlTJwICAgr3xOXq4eJaoBLnac1GmZmZpnr16gYwH330UYHrfvzxx8bPz89ERESYO++80zz88MNm1qxZ5tlnnzUbN27MvcFffxmzapUxs2cb8+CD1k6b5ctfukmmShVj2re3nq0yfrwxs2YZ8+WX1g57f/5Z9FNWc9i+fbsJDw83wcHB5q677jJz5841e/fuNaNHj3ZoxrFYLPZTKnNeKlWqZB588EFz7bXXmjfeeKPY5RBxq/R0c012U+66d94pucfNyjLmgw/M5Pr1DWD6tG9v6tat+/dnz8mTxnz1lfUU89Wr8/58uPnmv/eXnGzM6NHG1KplTOfOxkREWNepXdvaqd4Y07dvXwOYOXPm2Dfr3LmzAcynn36aq4hffPGFKVWqlP09H1SqlDkXFparHK9n3z+4S5fL+kwS76GzjTwovPz4448GMCEhIYUaP+XEiRMmNTU19x0ZGcb89pv11Nd77jGmZs38w0mpUsbUq2fMbbdZx8CYN886BsjevQW2XTtLWlqaSU9Pd1iWlZVlJk2a5NBnxxZict7esWOHy8snUhIiK1UygPn8rrtK5gFTUowZNswcBhOQR78v06qVMT4++X9u/OMfxpw5U+AZW+bsWWMqVbKuP3CgMcaYG6+7zgBm4Suv2Ffr06ePAcytt95q1qxZY19+Zu9eE5L9o2Uwfw8dAJjfwBwODjavtG5t/urSxeG+XeXKGTNmjPWsQ7liKbx4UHgZMWKEAczIkSMLv1F6urUz6YIFxjz0kPUXT1BQ3h84NWpYfyk98YQxH3xgfXN7+K+UrKws88EHH5iBAweaDRs2mG+++cY0a9bM/PDDD+4umojT9GvZ0gDmzUaNXP9gR48a07GjMWBG5tNpPc72mdG4sTH16//9GVK7tnVQwcJautThM6hb9v4XgzGPPmrM/Plm2J13Ojz20qVLzU29etlvNwaT3r27mX799fZl/37hBdOpUycDmEaNGjlsfz05Ov23bm0d/PDYMdf9P8UtFF48KLy0zP4A++qrr/JfKTPTOtDVm29aRyItWzb/cTp69TJm6lTreCdnzpTY8xCRohnbv78BzFOlS1vf466yfr15JzjYtAHzSWCg8clukrn//vsdAsCsYcOszcI2WVnWGt3i6NXL/rnUIXv//8vxWTWhgIEcAfPf556z7+qJJ54wgBk7dmyu9WrXrm0/I/Pxhg0dxvuZ5+trfrjjDo//sSaFp1mlPURmZqZ90rJrr7327zuysuCTT6wd5XbuhLg46/ggOZUtC61aWce1aN3a+rdhQ3sPfxHxbFWbNoXFi4lPS7O+z10xy/T8+Zz+5z8ZlZ4OwN3ZHfJvueUW5s2bx9SpU/nss88YP348/4uL4+EaNf7e1mIp/ufJxImwfDkAtk+uMlOnwo4dsGIFlf76K8/N2gJd+/al/8SJ9mV169YFIDY2Ntf6Y8aMoVatWtx55528vHs3h/r14/E6dcj85huG/fEHfP45KceP4//jj+DnV7znIt6pBMJUifKkmhfbSJMBAQEmw/YL5+hRazPQxbUqPj7GdOpkzEsvGfPrr679pSYiLjd//nwDmBvAmP/8x7k7z8oy5vHHzQGs00mQ41KnTh2zb98++6qxsbEGrNM8nDx50nllSEw0JiPDPufXqlWrrMvPnjXv5Wj2+feYMSa6ZUuzDqz98C6yYsUKA5iGDRsaX19fh+fy/fffG2OMueuuu+zLIiIizGuzZtlv/wjGPPaY856XuI2ajTwkvPzvf/8zgGnZsqV1wZEj1vZlMKZcOWOeftqY778vsQG4RKTkLFu2zACmORhTlD5vhfHQQ2YdmIo5vujfeOMNM3fuXJOUlJRr9RYtWlg71S5c6NxyGGNq1KhhAIczIr/85BN7uX6y/UArU8b6WXeRuLg4A5jSpUubihUrOoQX2yB38fHx9qkabEHMdn2ibf85OgaLdyrK93fhx/OWItu5cycATZo0sQ5/fued1iaiunUhJgaeew6ioqBOHVV5ilxhqlWrBkA8WKdzcJavv+bb11+nJ3AKaNWqFd988w1jx45l2LBhlCtXLtcmffv2BeDbb791Xjmy2cZ5yTkWS+kc01A0B+vn21tvWT/rLhIREYGvry9paWmcOnXK4b6qVasCEB4ezrJly/jXv/4FWJvkbb4ODSUZ4LHHrDFGrgoKLy60Y8cOILu/y1tvwbp11nlxfvgB6td3c+lExJVsX7wngLRt23L3ayuGrFOneOfee+kDJAM33ngjq1atonfv3gVu165dOwD2FWYU3SLKK7w0b94cAB8fHyoePQqnTsH99+e5vY+PD7Vq1crzvosH2Bs9ejRBF83PtePMGVpYLHy6fj18+GFxn4Z4GYUXF4qLiwOgfq1a8NJL1oUvvpjnrw8RubJUrFgRv+wa1WO2iScLYgwcOlTgxKR3t27Ng0lJZAJDBg1iyZIllC1b9pJlueaaawA4cuRIoctfWHmNsFu9enV27Nhhncy1alXIozYoJ1un3ZzymjIgNDSU7777jtKlS9O5c2d++OEHqlSpwl5juBt4Y+RIyGMCWbnyKLy40PHjxwGo8uef1plxq1aF4cPdXCoRKQkWi8Ve+3IECm46Sk+Hfv3YUaMG58PC4NFH4dNPrbW1Z84AcPj55/n84EFKAa+MGcOCDz6wh6NLqV69OgDHjh2zz1zuDFlZWfb9XTyEf5MmTQgv5KzfF4eXYcOG8cUXX+S5bteuXYmLi2PZsmX06tWLPXv28MhDDwHwSHIyByIjrTNj33ILTJ4MqalFfVriDUqgD06J8qQOu6GhoQYwO++4w9qhbNw4dxdJREpQly5dDGA+AmOGDs1/xWnTzLvZHVBvy3EW4q9gDoEx4eHmk+z7W1erVuRyZGVlGf/sWdnj4uKK/Xwudv78eXvH2bPZ0wUUx4wZM+z7qVu3bpG3z8rKMte1b28AMyP7f7cEzL1gJrdpY1IKGjVYPIY67HqA9PR0zmT/Yqq8bp114S23uK9AIlLi6mf3bdsL+de8xMWx77nnGJl9cwmwtkcP7qxYkdZAJJCckMDa7P4fnW6/vcjlsFgsLmk6SsnRj+dyJk/MWfNSvnz5Im9vsVjoP3QoAPPDwnisbVv6AP8FpsbE8N4LLxS7bOKZFF5cxDabaqlSpahw9CiUKgWdOrm5VCJSkhzCy65dcO5c7pUmTuSD7EHmbDqvXMnn2WfeHAYCgVnZZ9JEFvNzxBZeDjuxT4gtvPj4+ODrW/wxT3OGlwoVKhRrH7fffjsWi4Udx48zc/Nmcp539O7bb2N0JtIVReHFRU6cOAFAxXLlrP/kJk2so+aKyFWjXr16AOz187OOrL1li+MKP/wAn3zCD9k3R40aRalS1o/latWqMWzYsFz77FTM8GLr9+KKmpecnXWLo3bt2vbrxQ0vVatWZdKkSbRv357hw4fz/vvvc3LhQvyB306cIGbTpssqo3gWTQ/gIrbOumGlS1sXtG3rxtKIiDvYal722U753bwZuna1Xj9yBAYN4jSw0WIBY3jqqad4+umniY2NpWXLlvj5+XH69GmSkpIICwujZcuW+Z5WfCmurHm5nCYjgLJly1KlShWOHTtW7PAC8Nxzz/Hcc8/lLCA3DBvGksxM1nz+OW3bt7+scornUHhxEVvNS2Xbh1bjxm4sjYi4g63m5WRaGmeAUFu/l7Q0uOsuOHmSFbVqkXXgAI0bNyYiIgL4O2gA+Z51U1SuqHlJTk4GLj+8ANSpU+eyw0suAQE0iohgyYEDxK5f77z9ituVSLPR7NmzqV27NgEBAbRp04bVq1cXars1a9bg6+tLy5YtXVtAF7CHF9tpiQ0burE0IuIOZcuWtZ8uvBfA1nQxZ471NOiQEN7PbjK5xcUd+m0j/h49etRp+7QFIWeElxYtWgAUu2YpP3VatQIgdvdup+5X3Mvl4WXx4sU88sgjTJo0iS1bttC1a1duuukmDh48WOB2iYmJDBkyhH/84x+uLqJL2MOLrYOewovIValh9nv/D4C9eyEhAaZPB+DwE0+w9OefAfLs3+JMFStWBOD06dNO2d9XX31Fnz59AOeEl+eff57Fixdz7733Xva+cqqT/R0Se+KEtd/RZTh37hzHjh1zRrHkMrk8vMycOZPhw4czYsQIGjduzKxZs4iIiODtt98ucLt//vOfDBw4kMjISFcX0SXs4SUjwzrtvEbVFbkqNWnSBIAdoaHWBYMGQXw8REQw6/hxsrKyuO6662jUqJFLyxGa/fjOCi+TJk2yX7/cDrtgDVd33303/v7+l72vnOpcfz0AsVlZmOwpW4rj3LlztGvdmmpVq/LgvfeSftEZYlKyXBpe0tLSiImJISoqymF5VFQUa9euzXe7+fPns3//fiZPnnzJx0hNTSUpKcnh4gnsHXYBqlUDW8ddEbmqXHvttQDssI1f8tNPAOwaNozX3nwTgIkTJ7q8HLbxU5wVXpo2bWq/XtiRft2hRp06lAJSgISlSwu1jTGGTz75xKGLw/+NG8cfe/eSZQzvLFrEv8eMcU2BpVBcGl5OnjxJZmYmVapUcVhepUoVEhIS8txm7969TJw4kUWLFhVq3IDp06cTEhJiv9g6vLmbveYFILujnIhcfezhJT3dWgsLUL8+z/3xBxkZGdx6663cdNNNLi+HLbwkJyeT6oQh8xvmaAr/888/L3t/ruLn50eN7Fqn2OzgeCmTJk2if//+9O3bF2MMmZmZLPjgAwD6Z68z5d13ObR1q/MLLIVSIh12L54Z1BiTaxlYpzkfOHAgU6dOpUGDBoXa95NPPkliYqL9cujQIaeU+XLZwlkVAA8JVCJS8mzh5cCRI5z/3//gscc48v77fPr55wBMmTKlRMoRHBxs/9y1jf59OWzj0YBrJnx0pjrZnYBjf/31kuvGxcUxPbtP0l9//UV8fDxH4uJIzczED/jvokV0DQoiGZg2eLDrCi0Fcml4qVSpEj4+PrlqWY4fP56rNgbg7NmzbN68mbFjx+Lr64uvry/Tpk3jt99+w9fXl5/ySM3+/v4EBwc7XDyB7TlXBYUXkatY5cqVqVy5MsYY/ggPhxkzeO/778nIyKBr1660bt26RMpRqlQpQkJCAOc0HWVdZufXklQn+0ym2JMnrePrFOCPP/5wuL135Ur2v/8+ALV8fPC9+25enDoVgPm//07sZfSjkeJzaXgpXbo0bdq0Yfny5Q7Lly9fnucokcHBwWzfvp2tW7faL6NGjaJhw4Zs3bqVDh06uLK4TnPu3DnOZZ9lpPAiIrb+IVuyR9j9PLvWZcSIESVaDmf2e8k53P6CBQsue3+uVCe7iSsWYM2aAtc9FBfncHvfSy8R+8knANStVQt8fen06KN0DwggE/hu5kznF1guyeXNRuPHj+e9995j3rx57Nq1i0cffZSDBw8yatQowNrsM2TIEGthSpWiadOmDpewsDACAgJo2rQpQUFBri6uU8THxwNQ1seHsgBVq7q1PCLiXrazJn/55Rfi4uLYvn07Pj4+Lh/b5WK2M46c0WxkCy/jxo1jaPakiJ6qTvbZnoUJLwdtE+lm27t9u32MmDq2H92lStEje9T0tRf9OJeS4fIRdvv378+pU6eYNm0a8fHxNG3alKVLl1KzZk3A+kV/qTFfvI0tvFQtVQoyMyEszM0lEhF36po9JcAvv/zCkiVL7MucOppsITiz5sXWbJRX/0VP4xBefvmlwHVtnXDDAwJISElhH39/UdqanwAiBw2CX35h3eHDkJoKTj7FWwpWIh12R48ezYEDB0hNTSUmJobrrrvOft+CBQuIjo7Od9spU6aw1ct6dNvCS7itWlXhReSqFhkZicViYf/+/bzzzjsA3HbbbSVeDlc0G3lTeDkKJG/dmvfs3tkOHjgAwD+y+yLtrVyZ2OxRknPOft3hnnuwAHHGkPDDDxfvRlxMs0q7gL2zbkaGdUHlym4sjYi4W0hIiH34e1uHUHeEF2cOVOdN4aVChQr2kzkOZGXBhg32+06+8Qb/DApi5YABcPw4h7KDTc877wRg77lz7Mmew6lOjsFGg0NCaJq9z/XZfZik5Ci8uIC92QigVCko4aphEfE8AwYMsF+vVauWw6/4kmKreXFmn5ecp0x7KovFknfT0blz3PTII/znwgXuW7yYrH79sA220b1PH8qXL09ycjKJiYmULl3aPtGmTcvs2zttE25KifH8V50XcggvFSv+PTCViFy1Hn74Yfv1fv36uaUMzqx58aY+L/B3rclesIeXH//1LzZnP4+DwME1a0jD+pwiIiK4PntqAYDu3bsTGBjosM+GzZsD8IcHD9J3pVJ4cQGH8KImIxHBOnnhli1bGDNmjMO8QCXpau3zAn/PWr0BYPVqOH+edZ995rCOrfGnapUq+Pn5OUxtk9eZYY2y+2/uPncOPGRqmquFwosL2Pq8hIM664qIXcuWLXnzzTdL/Cwjm6u12Qj+PuNrtY8PJjUVPvqI/fv2OawzN/vHZuPsUZFzhpfevXvn2mfDdu0A64zhxstOLPF23vGq8zJ//fUXAJVANS8i4jEqVaoEOGcuIm+reenQoQN+fn4cyczkAMDIkdb+L0CrVq0A2JU9J12zZs0AqFGjBv/5z3+YM2eOQ2ddm3r16lEKSAKOrVrl6qcgOSi8uIAtvJQH1byIiMfo0KEDvr6+xMbGsu+iWoei8rY+L4GBgbRp0wYA21zR+7P/3nfffQ7rNs/uywIwcuRIHnjggTz3GRAQQO3s2qw/LjH4nTiXwouTpaSkkJx9Wl0FUM2LiHiM4OBgunTpAsB33313WfvytpoXwD7G2KrwcFIA2yxH/fv3p3KOz2pbzUthNKxdG4A/fv/dWcWUQlB4cTJbR7hSQDlQeBERj3LzzTcDzgsv3tLnBXL0eylXjrgZMwAoV64cYWFhDhNkNmnSpND7bJTd5LT76FFIS3NiaT3L4cOHSUlJcXcx7LznVeclbOGlvK+v9Z+rZiMR8SC203/Xr19PVlYWw4YN46mnniryfryt2Qigc+fOWCwW9uzdy7rs5p66detisVgcTl+/+JTogtg77WZlQfYcSFeavXv3UqtWLe644w53F8XO5XMbXW3s/V1sb2jVvIiIB2ncuDE+Pj6cPn2ab775hvnz5wMwdepU/Pz8Cr0fb2w2Kl++PM2aNWPbtm3MnTsX+Hv8lxEjRpCamkqHDh2KtM9GjRsDsBvg99+hCE1O3mLVqlVkZmby66+/ursodqp5cTJbzUuF7F8lqnkREU8SEBBA/fr1Acemo2PHjhVpP97YbAR/Nx2tXbsWgPbt2wPW5zFu3Dj77cJq1KgRAAeA5C1bnFZOT7Jt2zYAjh8/TkZGBuPHj+fdd9+19+90B+961XkBe81LZqZ1gWpeRMTDNG3aFIAvv/zSvsw2PlVheWPNC8Ctt97qcPsf//jHZe2vcuXKhJYpgwH2bdp0WfvyVNu3bwesTYUxMTH8+9//ZsyYMfi4cfR4hRcns4WXCqB5jUTEI9nCS87aFtvI4IXljX1eAHr27Olw2zbGS3FZLBYa2c442rnzsvbliYwx9poXgB+yZ9Bu0qQJpUuXdlexFF6czd5hF6zzGnlZlaqIXPnyOhU4r/BijMm3acBba178/Pzs/Vpq1arllNqDJi1bArD1+HE4f/6y9+dJEhISOHXqlP32999/DziOheMO+mZ1MoeaF9W6iIgHatu2ba7QkVez0bBhwwgMDMxzQDtv7fMC8OmnnzJo0CCWLFnilP117N4dgLUAV1jtS85aF4A12YPxKbxcYRxqXrJncBUR8SQ1atSgT58+DsvyqnlZsGABAK+99lqu+7y12QggIiKC//73v0UajK4gnTt3BqyTPqZfYXMc2fq7XMw20aW7KLw4mUPNS/Y4AiIinua1116zz3UEBXfY9fXNPaqGtzYbuUKjRo0o7+9PMrA1OtrdxXEqW3i5+DR61bxcYVTzIiLeoEaNGsTGxvLJJ58ABXfYzatfiMLL30qVKkWnBg0AWBsT4+bSOJet2SgyMtK+rFq1alSpUsVdRQIUXpzO1rFJ4UVEPF25cuWIiIgACq55KSi8eGOfF1dokz3S7rZDh9xcEufJyMhgZ3YfnqjsTskAgwYNclOJ/qZXnRNlZWVxKPuFWx3UbCQiHq9q1aqAtebFFkgullezkTf3eXGFptmTPu64cAGyuw94uz179pCWlkbZsmVptWuXffnw4cPdWCorhRcnio+PJzU1FR+LhQhQzYuIeDxb9X9aWhpnzpzJcx31ebm0a7NrXnYA5gqZYXrDhg2A9dT6LidOUB8Y0q0bDRs2dG/BUHhxqtjYWABqlimDH6jmRUQ8XkBAAOWzP6ty9nvJWQtTUHhRs5FV/fr18bNYOAccXLXK3cVxisWLFwNw0403Erx3L3uAhe+8495CZdOrzgmMMaxdu5ZRo0YBUMc26qBqXkTEC+RsOrJJT0+3X1fNy6X5+fnRMPvsrR3r1rm5NJfvxIkTrFixAoABPXtaB98rVQqyJ7J0N4UXJzh27Bhdu3a1d2yqa/slovAiIl4gPDwccOy0m5KSYr+eV4dd9XnJrWndugD8fgUMVPfNN9+QmZlJ69atqW+bq69WLXDjlAA5Kbw4QXh4uMN8GXVsB1rNRiLiBfKqeckZXvJqGlLNS26Ns+dJ2nP0KOTT+dlbrF+/HoDrr78e9uyxLsw+HdwTKLw4yb333mu/Xic11XpFNS8i4gUuVfOSaftBloP6vORWr2NHAPampcHhw24uzeXZuHEjAO0bN4a9e60L69d3Y4kc6VXnJLfffrv9el3bm17hRUS8wKVqXjIyMnJto2aj3Oo3bgzAXoCL5gTyFmvWrCE0NJSt2dMctL//fnjlFeudqnm58gQHB/PNN9/w+gsvYJ9gXeFFRLzApWpe8govajbKrV69egDEA+c3b3ZvYYrp+eeeIzEx0X67es47VfNyZerduzfj7rrLeqNsWcijh76IiKcpTs2Lmo1yK1++PBUDAwHYl98ZR7t2wejR8NVXznnQjRvJ6tCBH7p35+jnnzv2tdm5k4wHHyRr6dJC7So9PZ11q1fbb/cDHKKpwssVzDbIk2pdRMRLXKrmJedp0zaqeclb/Ro1ANibV7PRL79A+/bw9ttw++2waFHxHygjA+bPJ7lbN+7cuJEbfv6Z6++8k6wnngAgff9+BrVpQ+A779Cgd2/ODBli3aYAa9asIfHCBUoD/wJe7tABrr327xVq1ix+eZ1M4cXZsidm1JlGIuItbDUvp0+ftocW9XkpnnrZsy3vi4+Ho0f/vsMYeOgh0s+dYzmwG2D4cCjORI5r1kCtWmQMG8aAlBS+zF68C1j+yiuwejWvdOrEhykppAP7gckffAAzZxa4268+/xyAAcBTH39M3Z9+gnfegfBwmDgR8jhl3l0UXpxNNS8i4mVCQ0MJCgoC4ODBgwCk2s6aRH1eiqJJ9gSG6wCio/++47vvOLplC00sFqKAtj4+/JqaCv36wblz1nVOn4YpU2DkSPjgA8cmoJMn4bXXYPhwDvfoweNHjlAXWAL4+/vTokULAP4NLL/uOqYcPw7ALdnDeLwO3PTEE5yZPj3PcmdmZvLJf/8LwJ0hIXD33RAYCF26QHw85LOduyi8OJstvKjmRUS8hMVioU72yKn79u0D1OeluG6++WYAlgMXvvvOutAYzPPP809gX/b/7VxmJn18fEg5eBCefRbOncPccAPzpk7l8ffe48KQIfDkk9bt166Fbt3gkUf4cd48WqWn8wpwEOv/f/HixXz22Wf4+vryPRAFpAMDevViyYoVPPXkk/haLCwDbnzqKdKWLHEoc1ZWFr9MnEj8mTOEAlG9e4OHh1K96pzN1mykmhcR8SK2M2X2798P6Gyj4mrevDm1wsNJBpZ/+SWkpsLPP/PDunV8A5QuXZq1a9dSvXp1Dmdm8gHAv/8NtWrxz02bGA68AjwE8NJL0Lw5dO7M/p076QdEWSycxNo5uEuXLixatIg+ffpQr149nsju7wLQu0cPFnz9NRaLhX+98AKbf/2V0NKl2QB8ZwtFwNtvv02ZMmXoPmMGAP18ffF/8cWS+WddBoUXZ1OzkYh4obrZQ9vnFV7y6rCrPi95s1gs9Ln7bgC+On8eli2Df/2LWdn3jxo1isjISMaPHw/A9JAQTgHLT53i3Rz7mQt8AbB9O2eBm4OD+RLIMoZhw4Zx5MgRVq9ezYABA+zbPP300zz00EO89NJL/G/5cvz9/e33tWjZkkEDBwLw3c6dkD2FwUcffURaWhoAwcCTa9ZARIST/yvOp/DibGo2EhEvZAsvRW02UnjJrW/2oKVfAxmDB/PHihUsw/q/euihhwAYOXIk1apVIy4xkWtKlyYqe9uHH36Yp556CoBh5cox6957+UfTpuxJSuKaa67ht99+Y+7cuZQpUybX4wYEBPDaa6/x+OOP5zkf1U133gnAd4DJPlX7tK21APiyRQvqtW/vlP+Bqym8OJuajUTECxW32Uh9XnLr0qULFUJDOQWsOXuW17OX33bbbfaQWLZsWZYvX06VKlVIza75qFOnDlOmTOGZZ56hUaNGJJ49y6P//S+bfv+d0NBQPvvsM5pnn81UHD169MDf15eDwM6VKwE4cuQIADuAnsOGFXvfJU2vOmdTs5GIeCHbl2psbCyZmZk6Vfoy+Pr6cstttwHwLrAw+3/08MMPO6zXpEkTtm7dypAhQ7jjjjtYt24doaGhBAQE8NNPPzFx4kRuuukmRo4cSUxMDB2z504qrsDAQHq2bg3AF5s2cf78eXvNS3WAvn0va/8lSUPAOpvGeRERLxQREYGvry9paWkcOXJEzUaXadCgQbz//vssAjCG5s2b071791zrhYeHs3DhwlzLq1atynQXnJ5815AhfLdxI58mJnL39u0AlAOCa9eG7AH2vIFqXpxNNS8i4oV8fX2pXt06k82hQ4cKPc6Lmo3y1qtXL9rn6D/y2muveUTQ6ztwIH7AduDH7BF+q4N15F8vUiKvutmzZ1O7dm0CAgJo06YNq3PMnXCxL774gl69elG5cmWCg4OJjIzk+++/L4liOoc67IqIl6qR/cv74MGDmh7gMlksFt555x2uueYann/++TxrXdyhfPnydKtSBYCF2Z12qwN06OC2MhWHy8PL4sWLeeSRR5g0aRJbtmyha9eu3HTTTfZRHC+2atUqevXqxdKlS4mJiaFHjx7ceuutbNmyxdVFvXzGqMOuiHit/MKL+rwUT6tWrTh8+DCTJk1yd1EcdMnu9Lvx8GFANS95mjlzJsOHD2fEiBE0btyYWbNmERERwdtvv53n+rNmzeLxxx+nXbt21K9fnxdeeIH69evz9ddfu7qoly8lBbJ7jSu8iIi3sYWXQ4cOqc/LFSwyuzOxTfWgIK+reXFph920tDRiYmKYOHGiw/KoqCjWrl1bqH1kZWVx9uxZKlSokOf9qampDm2zSUlJxS/w5frrL+tfHx8oV8595RARKQZbeHnrrbcclqvPy5Wlw733wrhx9tt1IiPB17vO33Hpq+7kyZNkZmZSJbt9zaZKlSoOU68X5NVXX+X8+fPcnT1i4cWmT59OSEiI/RLhzpEBT52y/q1QwePnhRARuVh+n5+qebmyhISGEl62LABlgbs8bNLFwiiRyHzxi9sYU6gX/EcffcSUKVNYvHgxYWFhea7z5JNPkpiYaL8cOnTIKWUuFlt4qVjRfWUQESmmGvmcKqvpAa48b82fz22tWrF96VKC2rZ1d3GKzKX1RJUqVcLHxydXLcvx48dz1cZcbPHixQwfPpxPP/2U66+/Pt/1/P39HeZvcCtbs5HCi4h4ofzCi5qNrjz97ryTftnTBXgjl77qSpcuTZs2bVi+fLnD8uXLl9OpU6d8t/voo4+47777+PDDD+ndu7cri+hcqnkRES8WHByc53I1G4mncXkPnfHjxzN48GDatm1LZGQk//nPfzh48CCjRo0CrM0+R44c4f333weswWXIkCG89tprdOzY0V5rU6ZMGUJCQlxd3MuTs8+LiIgX+v7774mNjeXBBx+0L9Op0uJpXB5e+vfvz6lTp5g2bRrx8fE0bdqUpUuXUrNmTQDi4+MdxnyZM2cOGRkZjBkzhjFjxtiXDx06lAULFri6uJdHzUYi4uWioqzzG6empjJp0iTOnz+vmhfxOCVybtTo0aMZPXp0nvddHEiio6NdXyBXUbORiFwhHn74YSIjI+nQoYP6vIjH0avOmRReROQK4ps99oemBxBPo/DiTOrzIiJXED8/P0B9XsTzKLw4k/q8iMgVxFbzoj4v4mkUXpzpxAnr30qV3FsOEREnKEx4UZ8XcQe96pwlLQ1OnrRer1bNvWUREXEC1byIp1J4cRbbKMKlS6vPi4hcEQrqsKs+L+JOCi/OcvSo9W/VqpqUUUSuCGo2Ek+lV52z2MKLmoxE5AphO9soKyvLXtNio2YjcSeFF2dReBGRK4yt5gUgMzPT4T41G4k7Kbw4S85mIxGRK0DO8FKrVi2WLl1qv62aF3EnhRdniY+3/lXNi4hcIXKGl6NHj9K7d29iYmIA9XkR99KrzlmOHLH+Vc2LiFwhcoYXm++//x5QzYu4l8KLs8TGWv/Wru3ecoiIOImPj0+uZfHZtczq8yLupPDiDBkZ8Oef1ut16ri3LCIiTmKxWHLVvhzN7t+nZiNxJ73qnOHwYWuAKV0arrnG3aUREXGai8OLreZFzUbiTgovzpCzyUi/QkTkCnLxKdIKL+IJ9E3rDLt3W//WrevecoiIONnFUwMcPXoUY4z6vIhbKbw4w/bt1r/Nmrm3HCIiLpaWlsY999zDgQMHAPV5EffQq84ZFF5E5CpQIXvS2cWLF9uXqeZF3EHh5XJlZSm8iMhVISQkJNcyhRdxB4WXy7VrFyQmQmAgNG7s7tKIiLiEr68vcXFxuZYrvIg7KLxcrlWrrH8jIyF7BlYRkStNUFAQ3bt3z7VcfV7EHfSqu1w//mj927Wre8shIuJCgYGBLFiwINdy1byIOyi8XI6UFFi2zHq9d2/3lkVExIWCgoKoWbMmEydOdFiu8CLuoPByOb77Ds6ft46q26aNu0sjIuIyQUFBQO5mIjUbiTvoVXc55s61/r33XtCvDxG5guUXXlTzIu6g8FJc+/ZZa14Ahg93b1lERFxM4UU8icJLcT39tHWMl5tvhvr13V0aERGXqps9/YnCi3gChZfi+OILWLzYOgnjc8+5uzQiIi7z1Vdf0a9fP1544QVAfV7EM/heehVxcOIEjBplvT5xIrRu7d7yiIi4UJ8+fejTp4/9tmpexBMoMhfFhQtwxx3WANOsGTz7rLtLJCJSohRexBMovBRWair06werV0NwMCxaBP7+7i6ViEiJUrOReAK96grrjz9gzRrrHEZLl2oSRhG5KqnmRTyB+rwUVosWsGIFnD0LnTu7uzQiIm7h4+PjcFvhRdxB4aUoOnRwdwlERNxKNS/iCdRsJCIihaY+L+IJ9KoTEZFCU82LeAKFFxERKTSFF/EECi8iIlJoajYST6BXnYiIFJpqXsQTKLyIiEihKbyIJyiR8DJ79mxq165NQEAAbdq0YfXq1QWu//PPP9OmTRsCAgKoU6cO77zzTkkUU0RELkHhRTyBy8PL4sWLeeSRR5g0aRJbtmyha9eu3HTTTRw8eDDP9ePi4rj55pvp2rUrW7Zs4amnnuKhhx7i888/d3VRRUTkEtTnRTyBy191M2fOZPjw4YwYMYLGjRsza9YsIiIiePvtt/Nc/5133qFGjRrMmjWLxo0bM2LECIYNG8aMGTNcXVQREbkE1byIJ3BpeElLSyMmJoaoqCiH5VFRUaxduzbPbdatW5dr/RtuuIHNmzeTnp7usrKKiMilKbyIJ3Dp9AAnT54kMzOTKlWqOCyvUqUKCQkJeW6TkJCQ5/oZGRmcPHmSqlWrOtyXmppKamqq/XZSUpKTSi8iIhdTeBFPUCKNlRe/uI0xBb7g81o/r+UA06dPJyQkxH6JiIhwQolFRCQv6vMinsClr7pKlSrh4+OTq5bl+PHjuWpXbMLDw/Nc39fXl4oVK+Za/8knnyQxMdF+OXTokPOegIiIOFDNi3gCl4aX0qVL06ZNG5YvX+6wfPny5XTq1CnPbSIjI3Ot/8MPP9C2bVv8/Pxyre/v709wcLDDRUREXEPhRTyBy+v7xo8fz3vvvce8efPYtWsXjz76KAcPHmTUqFGAteZkyJAh9vVHjRrFn3/+yfjx49m1axfz5s1j7ty5/N///Z+riyoiIpegZiPxBC7tsAvQv39/Tp06xbRp04iPj6dp06YsXbqUmjVrAhAfH+8w5kvt2rVZunQpjz76KG+99RbVqlXj9ddf54477nB1UUVE5BJU8yKewGJsvWGvEElJSYSEhJCYmKgmJBERJ1uyZAl9+vSx3z537hxBQUFuLJFcKYry/a36PhERKTTVvIgnUHgREZFC8/HxcbitPi/iDnrViYhIoanmRTyBwouIiBSawot4AoUXEREpNJ0qLZ5ArzoRESk01byIJ1B4ERGRQlN4EU+g8CIiIoWm8CKeQOFFREQKTeFFPIHCi4iIFFrO8KLgIu6i8CIiIoWm8CKeQOFFREQKTeFFPIHCi4iIFFrO8KIxXsRd9MoTEZFCU82LeAKFFxERKTSFF/EECi8iIlJoajYST6BXnoiIFJpqXsQTKLyIiEihKbyIJ1B4ERGRQlN4EU+g8CIiIoWmPi/iCfTKExGRQvPx8bFfV82LuIvCi4iIFJqajcQTKLyIiEihqdlIPIFeeSIiUmiqeRFPoPAiIiKFpvAinkDhRURECk3hRTyBwouIiBSa+ryIJ9ArT0RECk2BRTyBXoUiIlJoOcOLMcaNJZGrmcKLiIgUmsKLeAKFFxERKTQ1G4kn0KtQREQKTTUv4gkUXkREpNAUXsQTKLyIiEihqdlIPIFehSIiUmiqeRFPoPAiIiKFpvAinkDhRURECk3hRTyBwouIiBRazvmMFF7EXRReRESk0BRexBMovIiISLEovIi7KLyIiIiIV1F4ERGRYlHNi7iLS8PL6dOnGTx4MCEhIYSEhDB48GDOnDmT7/rp6ek88cQTNGvWjKCgIKpVq8aQIUM4evSoK4spIiLFoPAi7uLS8DJw4EC2bt3KsmXLWLZsGVu3bmXw4MH5rn/hwgV+/fVXnnnmGX799Ve++OIL9uzZw2233ebKYoqISDEovIi7WIyLXn27du2iSZMmrF+/ng4dOgCwfv16IiMj+eOPP2jYsGGh9rNp0ybat2/Pn3/+SY0aNS65flJSEiEhISQmJhIcHHxZz0FERHKznXEUGBjI+fPn3VwauVIU5fvbZTUv69atIyQkxB5cADp27EhISAhr164t9H4SExOxWCyEhobmeX9qaipJSUkOFxERcT3VvIi7uCy8JCQkEBYWlmt5WFgYCQkJhdpHSkoKEydOZODAgfmmsOnTp9v71ISEhBAREXFZ5RYRkcJReBF3KXJ4mTJlChaLpcDL5s2bAcfBjGyMMXkuv1h6ejoDBgwgKyuL2bNn57vek08+SWJiov1y6NChoj4lERER8SK+Rd1g7NixDBgwoMB1atWqxbZt2zh27Fiu+06cOEGVKlUK3D49PZ27776buLg4fvrppwLbvvz9/fH39y9c4UVExGlU8yLuUuTwUqlSJSpVqnTJ9SIjI0lMTGTjxo20b98egA0bNpCYmEinTp3y3c4WXPbu3cvKlSupWLFiUYsoIiIlQOFF3MVlfV4aN27MjTfeyMiRI1m/fj3r169n5MiR3HLLLQ5nGjVq1Igvv/wSgIyMDO688042b97MokWLyMzMJCEhgYSEBNLS0lxVVBERKQaFF3EXl47zsmjRIpo1a0ZUVBRRUVE0b96cDz74wGGd3bt3k5iYCMDhw4dZsmQJhw8fpmXLllStWtV+KcoZSiIiInLlctk4L+6icV5ERFzLdtKFr68v6enpbi6NXCk8YpwXERG5sl1hv33Fiyi8iIhIsSi8iLsovIiIiIhXUXgREZFiUc2LuIvCi4iIFIvCi7iLwouIiIh4FYUXERER8SoKLyIiIuJVFF5ERETEqyi8iIiIiFdReBERERGvovAiIiIiXkXhRURERLyKwouIiIh4FYUXERER8SoKLyIiIuJVFF5ERETEqyi8iIiIiFdReBERERGvovAiIiIiXkXhRURERLyKwouIiIh4FYUXERER8SoKLyIiIuJVFF5ERETEqyi8iIiIiFdReBERERGvovAiIiIiXkXhRURERLyKwouIiIh4FYUXERER8SoKLyIiIuJVFF5ERETEqyi8iIiIiFdReBERERGvovAiIiIiXkXhRURERLyKwouIiIh4FYUXERER8SoKLyIiIuJVFF5ERETEq7g0vJw+fZrBgwcTEhJCSEgIgwcP5syZM4Xe/p///CcWi4VZs2a5rIwiIiLiXVwaXgYOHMjWrVtZtmwZy5YtY+vWrQwePLhQ23711Vds2LCBatWqubKIIiIi4mVcFl527drFsmXLeO+994iMjCQyMpJ3332Xb775ht27dxe47ZEjRxg7diyLFi3Cz8/PVUUUEZFiuOGGGwDo3Lmzm0siVytfV+143bp1hISE0KFDB/uyjh07EhISwtq1a2nYsGGe22VlZTF48GAmTJjAtddee8nHSU1NJTU11X47KSnp8gsvIiL5+vDDD/noo4/o37+/u4siVymX1bwkJCQQFhaWa3lYWBgJCQn5bvfSSy/h6+vLQw89VKjHmT59ur1PTUhICBEREcUus4iIXFqFChUYM2YMlSpVcndR5CpV5PAyZcoULBZLgZfNmzcDYLFYcm1vjMlzOUBMTAyvvfYaCxYsyHediz355JMkJibaL4cOHSrqUxIREREvUuRmo7FjxzJgwIAC16lVqxbbtm3j2LFjue47ceIEVapUyXO71atXc/z4cWrUqGFflpmZyWOPPcasWbM4cOBArm38/f3x9/cv2pMQERERr1Xk8FKpUqVCVRVGRkaSmJjIxo0bad++PQAbNmwgMTGRTp065bnN4MGDuf766x2W3XDDDQwePJj777+/qEUVERGRK5DLOuw2btyYG2+8kZEjRzJnzhwAHnjgAW655RaHzrqNGjVi+vTp3H777VSsWJGKFSs67MfPz4/w8PB8O/iKiIjI1cWl47wsWrSIZs2aERUVRVRUFM2bN+eDDz5wWGf37t0kJia6shgiIiJyBbEYY4y7C+FMSUlJhISEkJiYSHBwsLuLIyIiIoVQlO9vzW0kIiIiXkXhRURERLyKwouIiIh4FYUXERER8SoKLyIiIuJVFF5ERETEqyi8iIiIiFdx2Qi77mIbtiYpKcnNJREREZHCsn1vF2b4uSsuvJw9exaAiIgIN5dEREREiurs2bOEhIQUuM4VN8JuVlYWR48epVy5clgsFncXx2mSkpKIiIjg0KFDGjnYQ+kYeTYdH8+m4+PZSuL4GGM4e/Ys1apVo1Spgnu1XHE1L6VKlaJ69eruLobLBAcH643t4XSMPJuOj2fT8fFsrj4+l6pxsVGHXREREfEqCi8iIiLiVRRevIS/vz+TJ0/G39/f3UWRfOgYeTYdH8+m4+PZPO34XHEddkVEROTKppoXERER8SoKLyIiIuJVFF5ERETEqyi8iIiIiFdReHGjKVOmYLFYHC7h4eH2+40xTJkyhWrVqlGmTBm6d+/Ojh07HPaRmprKuHHjqFSpEkFBQdx2220cPny4pJ/KFWHVqlXceuutVKtWDYvFwldffeVwv7OOx+nTpxk8eDAhISGEhIQwePBgzpw54+Jnd2W41DG67777cr2nOnbs6LCOjpFrTJ8+nXbt2lGuXDnCwsLo27cvu3fvdlhH7yH3Kswx8pb3kMKLm1177bXEx8fbL9u3b7ff9/LLLzNz5kzefPNNNm3aRHh4OL169bLP3wTwyCOP8OWXX/Lxxx/zyy+/cO7cOW655RYyMzPd8XS82vnz52nRogVvvvlmnvc763gMHDiQrVu3smzZMpYtW8bWrVsZPHiwy5/fleBSxwjgxhtvdHhPLV261OF+HSPX+PnnnxkzZgzr169n+fLlZGRkEBUVxfnz5+3r6D3kXoU5RuAl7yEjbjN58mTTokWLPO/Lysoy4eHh5sUXX7QvS0lJMSEhIeadd94xxhhz5swZ4+fnZz7++GP7OkeOHDGlSpUyy5Ytc2nZr3SA+fLLL+23nXU8du7caQCzfv16+zrr1q0zgPnjjz9c/KyuLBcfI2OMGTp0qOnTp0++2+gYlZzjx48bwPz888/GGL2HPNHFx8gY73kPqebFzfbu3Uu1atWoXbs2AwYMIDY2FoC4uDgSEhKIioqyr+vv70+3bt1Yu3YtADExMaSnpzusU61aNZo2bWpfR5zDWcdj3bp1hISE0KFDB/s6HTt2JCQkRMfMSaKjowkLC6NBgwaMHDmS48eP2+/TMSo5iYmJAFSoUAHQe8gTXXyMbLzhPaTw4kYdOnTg/fff5/vvv+fdd98lISGBTp06cerUKRISEgCoUqWKwzZVqlSx35eQkEDp0qUpX758vuuIczjreCQkJBAWFpZr/2FhYTpmTnDTTTexaNEifvrpJ1599VU2bdpEz549SU1NBXSMSooxhvHjx9OlSxeaNm0K6D3kafI6RuA976ErblZpb3LTTTfZrzdr1ozIyEjq1q3LwoUL7R2kLBaLwzbGmFzLLlaYdaR4nHE88lpfx8w5+vfvb7/etGlT2rZtS82aNfn222/p169fvtvpGDnX2LFj2bZtG7/88kuu+/Qe8gz5HSNveQ+p5sWDBAUF0axZM/bu3Ws/6+jilHr8+HH7L5fw8HDS0tI4ffp0vuuIczjreISHh3Ps2LFc+z9x4oSOmQtUrVqVmjVrsnfvXkDHqCSMGzeOJUuWsHLlSqpXr25frveQ58jvGOXFU99DCi8eJDU1lV27dlG1alVq165NeHg4y5cvt9+flpbGzz//TKdOnQBo06YNfn5+DuvEx8fz+++/29cR53DW8YiMjCQxMZGNGzfa19mwYQOJiYk6Zi5w6tQpDh06RNWqVQEdI1cyxjB27Fi++OILfvrpJ2rXru1wv95D7nepY5QXj30POaXbrxTLY489ZqKjo01sbKxZv369ueWWW0y5cuXMgQMHjDHGvPjiiyYkJMR88cUXZvv27eaee+4xVatWNUlJSfZ9jBo1ylSvXt2sWLHC/Prrr6Znz56mRYsWJiMjw11Py2udPXvWbNmyxWzZssUAZubMmWbLli3mzz//NMY473jceOONpnnz5mbdunVm3bp1plmzZuaWW24p8efrjQo6RmfPnjWPPfaYWbt2rYmLizMrV640kZGR5pprrtExKgEPPvigCQkJMdHR0SY+Pt5+uXDhgn0dvYfc61LHyJveQwovbtS/f39TtWpV4+fnZ6pVq2b69etnduzYYb8/KyvLTJ482YSHhxt/f39z3XXXme3btzvsIzk52YwdO9ZUqFDBlClTxtxyyy3m4MGDJf1UrggrV640QK7L0KFDjTHOOx6nTp0ygwYNMuXKlTPlypUzgwYNMqdPny6hZ+ndCjpGFy5cMFFRUaZy5crGz8/P1KhRwwwdOjTX/1/HyDXyOi6AmT9/vn0dvYfc61LHyJveQ5bsJyQiIiLiFdTnRURERLyKwouIiIh4FYUXERER8SoKLyIiIuJVFF5ERETEqyi8iIiIiFdReBERERGvovAiIiIiXkXhRURERLyKwouIiIh4FYUXERER8SoKLyIiIuJV/h+BJFI8qRkP0gAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiwAAAGdCAYAAAAxCSikAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAACB/UlEQVR4nO3dd3iT1RfA8W9auoGW2QFlyt6bMmTJFARRQWXLVEERZYMgoAwBAZmigvyUpQxFGZZRKHsjArKhjJZNB93t+/vjTdKki6ZNmpSez/Pk6ZvkHTdN25yee++5GkVRFIQQQgghbJidtRsghBBCCPE8ErAIIYQQwuZJwCKEEEIImycBixBCCCFsngQsQgghhLB5ErAIIYQQwuZJwCKEEEIImycBixBCCCFsXh5rN8BcEhMTuXv3Lvny5UOj0Vi7OUIIIYTIAEVRCA8Px8fHBzu7tPMoL0zAcvfuXXx9fa3dDCGEEEJkwq1btyhevHiaz78wAUu+fPkA9QXnz5/fyq0RQgghREaEhYXh6+ur/xxPywsTsOi6gfLnzy8BixBCCJHDPG84hwy6FUIIIYTNk4BFCCGEEDZPAhYhhBBC2LwXZgxLRiQkJBAXF2ftZogXmL29PXny5JGp9UIIYWa5JmCJiIjg9u3bKIpi7aaIF5yrqyve3t44OjpauylCCPHCyBUBS0JCArdv38bV1ZUiRYrIf7/CIhRFITY2lgcPHnD9+nXKlSuXbhEkIYQQGZcrApa4uDgURaFIkSK4uLhYuzniBebi4oKDgwM3b94kNjYWZ2dnazdJCCFeCLnq3z/JrIjsIFkVIYQwP/nLKoQQQgibJwGLEEIIIWyeBCyCUqVKMW/ePGs3w6xu3LiBRqPh9OnT1m6KEEIIM5CAxYb17duXLl26ZOkcz549Y/To0ZQpUwZnZ2eKFClC8+bN+fPPP/X7HDt2jEGDBunvazQaNm/enKXrAgQEBKDRaPS3QoUK0bJlSw4cOJDlc5tKF8Ckdjt8+DD//fcfGo2GI0eOGB3XoEEDnJyciIyM1D8WGxuLq6sr3333XXa/DCGEyLUkYHnBDRkyhM2bN7Nw4UL+++8/tm/fzhtvvMGjR4/0+xQpUgRXV1eLteHixYsEBwcTEBBAkSJFePXVV7l//77FrpeenTt3EhwcbHSrU6cOFStWxNvbmz179uj3jYiI4NSpUxQtWpSDBw/qHz9y5AhRUVG0aNHCGi8hR9q1axfHjx/P0L5BQUHMmjWLp0+fWrZRQogcJXcGLIoCz55Z55aFwnXNmzfno48+YtSoURQsWBAvLy8mT56c7jFbtmxh3LhxdOjQgVKlSlGnTh2GDRtGnz599PsYdgmVKlUKgNdffx2NRqO/n1q2Z/jw4TRv3vy57S5atCheXl5Uq1aNCRMmEBoaapTJ2Lt3L/Xr18fJyQlvb2/GjBlDfHy8/vnt27fTpEkTPDw8KFSoEB07duTq1atG1zh69Ci1atXC2dmZunXrcurUqVTbUqhQIby8vIxuDg4OgPr9DQgI0O8bGBhI+fLlee2114weDwgIoFixYpQrV+65r13AnTt3eOWVV6hXr16G9m/SpAmjR49m8ODBFm6ZECInyZ0BS2Qk5M1rnZtB10Jm/PTTT7i5uXHkyBFmzZrFlClT8Pf3T3N/Ly8vtm7dSnh4eIbOf+zYMQBWrFhBcHCw/r45REZGsmLFCgB9kHDnzh06dOhAvXr1OHPmDEuWLOGHH35g2rRp+uOePXvGiBEjOHbsGLt27cLOzo7XX3+dxMRE/fMdO3akQoUKnDhxgsmTJ/PZZ5+Z3L4WLVqwf/9+fbC0Z88emjdvTrNmzYwyL3v27JHsigmCgoJM2v/WrVuAGqgKIYROrigc9yKpXr06kyZNAqBcuXIsXLiQXbt20bp161T3/+677+jRoweFChWiRo0aNGnShDfffJPGjRunun+RIkUA8PDwwMvLyyxtLl68OKAGLIqiUKdOHVq1agXA4sWL8fX1ZeHChWg0GipWrMjdu3cZPXo0n3/+OXZ2drzxxhtG5/vhhx8oWrQo58+fp2rVqvzyyy8kJCTw448/4urqSpUqVbh9+zbvv/9+irY0atQoRZ2U0NBQ7O3tad68Oc+ePePYsWP4+fkREBDAyJEjefnll+nVqxeRkZHkyZOHw4cPs3DhQrN8b3IDw+UwFEXJcD2khIQESzVJCJED5c6AxdUVIiKsd+0sqF69utF9b2/vdMeDvPzyy1y7do3Dhw9z4MABdu/ezfz58/niiy+YOHFiltqSUYGBgbi5uXHq1ClGjx7NypUr9RmWCxcu4OfnZ/Qh1rhxY/3aTyVKlODq1atMnDiRw4cP8/DhQ31mJSgoiKpVq3LhwgVq1KhhNA7Hz88v1basW7eOSpUqGT1mb28PqAFg8eLFCQgIoEqVKpw6dYpmzZpRtGhRSpcuzYEDB3ByciIqKoqWLVua9Xv0IjMMWBISEsiTJ2N/diRgEUIYyp0Bi0YDbm7WbkWm6D7odTQajf4DPL1jmjZtStOmTRkzZgzTpk1jypQpjB49OsML9NnZ2aVYODKjK1+XLl0aDw8PypcvT3R0NK+//jr//vsvTk5Oqf7HrbuO7vFOnTrh6+vL8uXL8fHxITExkapVqxIbG2u0f0b4+vry0ksvpfl88+bN2bNnD9WrV6dcuXIULVoUQN8t5OTkRMmSJfVje8TzZTZgMRzHJIQQuXMMSy5XuXJl4uPjiY6OTvV5BweHFP/dFilShODgYKPHMlPjpFevXiQmJrJ48WJ9Ww4ePGj0oXbw4EHy5ctHsWLFePToERcuXGDChAm0atWKSpUq8eTJkxSv58yZM0RFRekfO3z4sMltA3Ucy8GDB/H39zcaUNysWTMCAgIICAiQ7IqJDANqU7ImkmERQhiSgOUF17x5c5YtW8aJEye4ceMGW7duZdy4cbRo0YL8+fOnekypUqXYtWsXISEh+uCgZcuWHD9+nFWrVnH58mUmTZrEv//+a3J77OzsGD58ODNmzCAyMpIPPviAW7duMWzYMP777z9+//13Jk2axIgRI7Czs6NAgQIUKlSI7777jitXrrB7925GjBhhdM53330XOzs7+vfvz/nz59m6dSuzZ89O9fqPHj0iJCTE6GYYuLVo0YJnz57x448/0qxZM/3jzZo14/jx4xw+fFgG3JrIMBg1JWtiSuZMCPHik4DlBde2bVt++ukn2rRpQ6VKlRg2bBht27Zl/fr1aR4zZ84c/P398fX1pVatWvrzTJw4kVGjRlGvXj3Cw8Pp3bt3ptr03nvvERcXx8KFCylWrBhbt27l6NGj1KhRgyFDhtC/f38mTJgAqAHO2rVrOXHiBFWrVuWTTz7h66+/Njpf3rx52bJlC+fPn6dWrVqMHz+emTNnpnrtV155BW9vb6ObYZG80qVLU7JkScLDw40ClmLFilGiRAmio6MlYDFR8i4hIYTIDI3ygvwbExYWhru7O6GhoSkyB9HR0Vy/fp3SpUvj7OxspRaK3EJ+3ozt3r1bPyvswYMHFC5cON39Dcc0vSB/noQQ6Ujv89uQZFiEEBZlmFWRgbRCiMySgEUIYVGGs8mkS0gIkVkSsAghLEoCFiGEOUjAIoSwKMNuIOkSEkJklgQsQgiLkgyLEMIcJGARQliUZFiEEOYgAYsQwqIkwyKEMAcJWIQQFiUBixDCHCRgETapb9++dOnSxdrNEGYgXUJCCHOQgMWG9e3bF41Gg0ajIU+ePJQoUYL3338/xeJ/6blx4wYajSZTCxU2b95cf31HR0fKli3L2LFjiYmJMflcWWX4vTC8tWvXDoC3336b9u3bGx2zbds2NBoNEydONHp86tSp+Pj4ZFvbczvJsAghzCFj67wLq2nXrh0rVqwgPj6e8+fP89577/H06VPWrFmTLdcfOHAgU6ZMITY2lmPHjtGvXz8Apk+fni3XN6T7XhhycnIC1EULP/vsM+Lj48mTR/2xDggIwNfXlz179hgdExAQIOsBZSMJWIQQ5iAZFhvn5OSEl5cXxYsXp02bNnTv3p2///7baJ8VK1ZQqVIlnJ2dqVixIosXL9Y/V7p0aQBq1aqFRqOhefPmJl3f1dUVLy8vSpQowRtvvEHr1q2Nrh8TE8NHH31E0aJFcXZ2pkmTJhw7dkz/fEJCAv3796d06dK4uLhQoUIF5s+fb3SNhIQERowYgYeHB4UKFWLUqFGpriGj+14Y3goUKACoAUtERATHjx/X7x8QEMCYMWM4duwYkZGRAMTGxnLo0CEJWLKRqV1C9vb2lmyOECKHypUZFkVR9B9g2c3V1dVocTdTXLt2je3bt+Pg4KB/bPny5UyaNImFCxdSq1YtTp06xcCBA3Fzc6NPnz4cPXqU+vXrs3PnTqpUqYKjo2Om237mzBkOHDhAqVKl9I+NGjWKDRs28NNPP1GyZElmzZpF27ZtuXLlCgULFiQxMZHixYuzfv16ChcuzMGDBxk0aBDe3t5069YNUFeH/vHHH/nhhx+oXLkyc+bMYdOmTbRs2TLDbStfvjw+Pj7s2bOHhg0bEh4ezsmTJ/nzzz9ZuHAhBw4coHXr1hw+fJioqCgJWLKRqRkWe3t7ycQIIVJSXhChoaEKoISGhqZ4LioqSjl//rwSFRWlKIqiREREKIBVbhERERl+TX369FHs7e0VNzc3xdnZWX+OuXPn6vfx9fVVVq9ebXTc1KlTFT8/P0VRFOX69esKoJw6dcrk72mzZs0UBwcHxc3NTXF0dFQAxc7OTvntt9/030cHBwfll19+0R8TGxur+Pj4KLNmzUrzvB988IHyxhtv6O97e3srM2bM0N+Pi4tTihcvrnTu3DnV74XhbcqUKfp93n33XaVNmzaKoijKX3/9pVSuXFlRFEUZMmSIMm7cOEVRFOWLL75QfH19Tf5emCL5z1tuN3HiRP3P7s6dO5+7v4uLi37/xMTEbGihEMKa0vv8NpQrMyw5SYsWLViyZAmRkZF8//33XLp0iWHDhgHw4MEDbt26Rf/+/Rk4cKD+mPj4eNzd3c1y/R49ejB+/HjCwsKYOXMm+fPn54033gDg6tWrxMXF0bhxY/3+Dg4O1K9fnwsXLugfW7p0Kd9//z03b94kKiqK2NhYatasCUBoaCjBwcH4+fnp98+TJw9169ZN0S2k+14YKliwoNHzw4cPJy4ujoCAAH33V7Nmzfj2228BtZvIlMyNyDpTu4R0Y5BAzcgY3hdC5F658i+Bq6srERERVru2Kdzc3HjppZcAWLBgAS1atOCLL75g6tSpJCYmAmq3UIMGDYyOM9c4AHd3d/31f/75Z6pUqcIPP/xA//799QFF8i4uRVH0j61fv55PPvmEOXPm4OfnR758+fj66685cuSIyW0x/F6kpkWLFjx79oxjx46xZ88eRo4cCagBS+/evXn8+DGHDh2iT58+Jl9bZF5muoR0YmNjJWARQgC5NGDRaDS4ublZuxmZMmnSJNq3b8/777+Pj48PxYoV49q1a/To0SPV/XVjVswxJsDBwYFx48YxduxY3nnnHV566SUcHR3Zv38/7777LqB+OB0/fpzhw4cDEBgYSKNGjfjggw/057l69ap+293dHW9vbw4fPszLL78MqP+Fnzhxgtq1a5vUvrJly+Lr68sff/zB6dOnadasGQDe3t6UKlWKOXPmEB0dLeNXspmpAYthgBIbG2tykC9ykdBQ+PZbuHgRTp+GBg3gvffUrzJ4+4Ujs4RymObNm1OlShW++uorACZPnsz06dOZP38+ly5d4uzZs6xYsYK5c+cCULRoUVxcXNi+fTv37t0jNDQUgE2bNlGxYkWTr//uu++i0WhYvHgxbm5uvP/++4wcOZLt27dz/vx5Bg4cSGRkJP379wfgpZde4vjx4+zYsYNLly4xceJEo1lEAB9//DEzZsxg06ZN/Pfff3zwwQc8ffo0xbVjYmIICQkxuj18+NBonxYtWrB48WJeeuklPD099Y/ruoXKlClDiRIlTH7dIvNM7RKys0v6sxQbG2uRNokc7upVePttKFAAJk6En3+Gf/+FH36Axo2hSRMICjI+JjYWjh4FK024EFknAUsONGLECJYvX86tW7cYMGAA33//PStXrqRatWo0a9aMlStX6qcz58mThwULFrBs2TJ8fHzo3LkzoI4duXjxosnXdnR0ZOjQocyaNYuIiAhmzJjBG2+8Qa9evahduzZXrlxhx44d+unGQ4YMoWvXrnTv3p0GDRrw6NEjo2wLwKeffkrv3r3p27evvtvo9ddfT3Ht7du34+3tbXRr0qSJ0T4tWrQgPDw8xfTtZs2aER4eLtkVKzA1w2K4jwQswkhcHEyaBBUrwrp1oCjg7Q2tW4OfH2izqhw+DBUqQMmS4OYGrq7g5KRmXsqVg4AAq74MkUmZGdG7aNEipVSpUoqTk5NSu3ZtZd++fWnuGxgYqDRq1EgpWLCg4uzsrFSoUMFolouiKMqKFStSnVFjyiwLU2YJCWFJ8vNm7L333tP/Tq9du/a5+3t4eOj3v3r1aja0UNi8+HhF+eEHRSlTRlHUMEVR2rZVlO3bFSUy0njfK1cUpV69pP1Su9nZKYp2tqOwPovNElq3bh3Dhw9n8eLFNG7cmGXLltG+fXvOnz+faqrdzc2NoUOHUr16ddzc3Ni/fz+DBw/Gzc2NQYMG6ffLnz9/iv/4nZ2dTW2eEMLGGGZYMtIlZJhhscYyEMKGhIXBmDHw66+g6/4tVAi++QZ69Ur9mLJl4eBB+OkntVsob15ITIRGjaBIERgwAA4cgP79oWFDKFYs+16PyBKTA5a5c+fSv39/BgwYAMC8efPYsWMHS5YsSbVce61atahVq5b+fqlSpdi4cSOBgYFGAYtGo8HLyyszr0EIYcOkS0hkSmIi9OgBf/6p3ndxgaFDYexYdexKevLkUQOS1AQEqGNcjhyB2bPV4EfkCCaNYYmNjeXEiRO0adPG6PE2bdpw8ODBDJ3j1KlTHDx4UD+DQyciIoKSJUtSvHhxOnbsyKlTp9I9T0xMDGFhYUY3IYTtMXXQrQQsgvh4NTj5809wdIRZs9SBtrNmPT9YeZ48eeDzz9Xtn36CqKist1dkC5MClocPH5KQkGA0+wLA09OTkJCQdI8tXrw4Tk5O1K1blw8//FCfoQGoWLEiK1eu5I8//mDNmjU4OzvTuHFjLl++nOb5pk+fjru7u/7m6+tryksRQmQTUzMsuvpCIAFLrjVmDOiKRP74I4wcqQ6uNZe2baFECXjyBDZsMN95hUVlapZQeoXC0hIYGMjx48dZunQp8+bNM1ptuGHDhvTs2ZMaNWrQtGlT1q9fT/ny5fXVSVMzduxYQkND9bdbt25l5qUIISxMuoSESfbvB21ZBhYsULuFzM3eHnTVwZctM//5hUWYNIalcOHC2Nvbp8im3L9/P0XWJTndNNtq1apx7949Jk+ezDvvvJPqvnZ2dtSrVy/dDIuTkxNOTk6mND/VFYCFMDf5OTNmSpeQoiiSYcnNzp6FN99U5/L06wfaZUgsol8/tWto/364eVOdAi1smkkZFkdHR+rUqYO/v7/R4/7+/jRq1CjD51EUJd3R/4qicPr0abzNlALUlfqWP34iO+hWAjdcVTs3MyXDYhisgPzOpisqCk6cUMdhTJsG778PffrAuHHqLJmcRlHgnXfg3j21+2fOHMter1ixpLot69db9lrCLEyeJTRixAh69epF3bp18fPz47vvviMoKIghQ4YAalfNnTt3WLVqFQCLFi2iRIkS+qqq+/fvZ/bs2foF/AC++OILGjZsSLly5QgLC2PBggWcPn2aRYsWmeM1kidPHlxdXXnw4AEODg5GlTSFMBdFUYiMjOT+/ft4eHiYbT2nnM6UgCX58zKtGfWD/MQJ+P13uHZNnd57/TpcuaI+l5rp09XsxPz58JzuepuxZw+cOwcODhAYmPXBtRnx9tvqrKG1a9VxMsKmmRywdO/enUePHjFlyhSCg4OpWrUqW7dupaQ2nRYcHEyQQUnkxMRExo4dy/Xr18mTJw9ly5ZlxowZDB48WL/P06dPGTRoECEhIbi7u1OrVi327dtH/fr1zfAS1TE33t7eXL9+nZs3b5rlnEKkxcPDQ6boGzClSyh5wJJrMizR0WpmQXe7f1/9evSoWrX13r3UjytUCKpVU2uPFC0K+fKp03V//11dY6dQIbUybE6wcKH6dcAA9fVkhzfegA8/hJMn4dIlKF8+e64rMkWjvCAd7mFhYbi7uxMaGkr+/PlT3ScxMTH3/AEUVuHg4CCZlWTq1q3LiRMnAPjqq68YO3ZsmvtGRESQL18+/f0VK1bQt29fSzcx+yQmwpkzsHOnmlG4dg1CQtRF/NLj5ASdO6vBia+v2p1RrZoapKSWQVm4MGn8x8qValeRLfv556RCcOfOQeXK2Xft9u1h+3aYMkVdl0hku4x8fkMuW63Zzs5OqucKkc0Msyq5cgzLtWtqPZHdu9UBno8epb6fgwN4eoKXl1qR1d0d6tVTq7HWqqUWTsuooUPhzh2YMUMtoJaQoK5ibIsSE9VpzKC+3uwMVgC6d1cDlnXrJGCxcbkqYBFCZD9TSvM/r0soKCiI27dvU7t2bdv+5+POHVixAlavhgsXjJ/LmxeaN4dWraBmTTVA8fQEDw/zjjf58ku4do3E9euJ798fx7p1oXp1853fXP79V/1+AWzblv3X79IFBg9WMzsXLkClStnfBpEhMvpUCGFRWRl0O2zYMH0V7cOHD1OyZEkaN25Mv379zN/QrIqPVzMpr72mFiWbOFH9ALS3VwOUGTPU2TuPH8OWLTB8uPp4xYrqAFNzD461s+O311+nSJ48NADiW7e2zaquv/+ufm3bVh1zk908PJJmCyWbAStsiwQsQgiLMqVLKLXnp0yZAsChQ4f0j/37779map0ZPHgAkydDqVLQqZMajCQmQtOm6pTjhw/V8SqjR4Ofn9r1kw0ePnxIz759eRwfz2lg9/370LNntlw7w44eVceOQNqLGWaHVq3Ur7t2Wa8N4rmkS0gIYVFZ6RICtf4TYDTD7+nTp+ZpXFYEB6uL5y1dCtraOxQqpA5wHTDA6l0LV69eNZoWvg5os3EjHDqkBk7W9vixWnclPh7q1lXHkliLLmAJCFDbk0c+Gm2RZFiEEBaVlS4hSBrHYjMBS1CQOqi1dGm1hHxkJNSpA2vWqGMx5syxerACcPfuXaP7Gx0diYOksvfW9PSpGjRdu6YOMN6xw7pBQq1aatdQWJha80bYJAlYhBAWlZkuIWdnZzZt2gTA48ePAeOAJSIiwigQyhZXriTVCFm0CGJioFEjdaDosWNqETITlwuxpDvagaydO3emUKFCPI2N5TjAxo1w44ZZrnH9+nVWrVrFsWPHMn5QQoK6PtClS2pGav16KFjQLO3JNHt7aNFC3ZZuIZslAYsQwqJM6RLSTWu2t7enSJEiADx58gTAqCAlQOjzapeYy6VL6viKChXghx/ULoOWLZOmKbdrZ1PVZBVF4fPPP2fp0qUA+Pr60rx5cwB2lyihjq/Zsyfdc9y+fZthw4Zx6dKlNPcJDQ2latWq9OnTh5YtWxKV0QG98+bB1q3g7KxmVrRtszoZx2LzJGARQlhUZrqE7O3tKaAtzf748WOePXvGo2T1S3SBjMU8fQqffQZVqqiFzRIToUMHOHBA/VBr0cKmAhUdf39/pk6dyrlz5wAoVqwYLVu2BGC3LmC8di3dc3Tr1o2FCxemu0bc0aNH9etmRUREcP369ec3LjZWHfcD8M03aleardAFLAcOqJWHhc2RgEUIYVGZKc1vb29PQW03wZMnT/Qfhh4eHvj6+gIWHMcSHw+LF0O5cup4lPh4NVA5fhz++kvtBrJhISEhRvd9fHz0AcuB+/eJArh6Nd1zHDlyBCBFkGgoeTfQtecEQQB8/71a2dfb2/YK2VWoAIULq119//xj7daIVEjAIoSwGEVRspxhURSFs2fPAlCyZEn94xYJWA4fhtq11fVlHj5UB8/+9Zd6s6VsQCoSEhJYuHAhu5J1afj4+FChQgVKlChBTHw8WyH1MSxRUWom6eFDNBnIHCUPWK4+Jwji/Hn49FN1e/Ro0M7+yopz587x5Zdfmmc8k0aT9B7LwFubJAGLEMJikgcoGQ1Y7OzscHJyws3NDYAzZ84AUKJECTw8PAAzdwk9fQoffKBmT86eVQeDLlqk/qfdoYP5rmNBq1evZtiwYaxatcro8WLFiqHRaOiunTa8FpIqyxr6/HN1rM6bb2ZoRXtdwNKwYUPgOQFLYqI6YDk6Gtq0SVrnKIuqVq3KhAkTWLx4sVnOR9266lcJWGySBCxCCItJ3gVkSpcQoM+m/PfffwB4enrqAxazZFgURZ2lUqkSLFmi3u/XD/77Tw1gclA9DsPCeoZ8fHwAePvttwH4E7h3544aRBhatkz9unfvcwOWe/fucefOHTQaDW+++SbwnC6hOXPU+i9586oDlzMQEKVFt17v+fPn9Y/purAM9wkICCAiIsK0k0uGxaZJwCKEsJjkqXpTuoQA/TgWXcBStGhRfRCT5QzL9evw6qtqwbKQEHUMw5498OOP6liGHCatbhzd6re1atWiVs2aRAM9ExJQ7t0z3tFglXE7g4JzqdGNkylatCg1atQA0smwXLuWtLjh119D8eLPeSVpe++996hYsSLh4eGsWbNG//itW7eM9hs1ahQtWrRg8uTJpl2gdm3167lzkN3T5sVzScAihLCY5BmVjK7WnDxguXjxIgBFihTJeoYlMRHmz1dn/2zbpo6lmDwZzpyxnSm2mZB82neFChWYOXOmPpDRaDT8/MsvOAM7gTO7dxufwN1dv/m8DwbdlPL8+fNTpkwZQK3Jkny1bQB++UX9njdvri4ymAUrVqzg0qVLrF27lj/++EP/+P79+xk+fDjLly9Ho9EwWzsTac6cOaZdoEQJyJ9fDVa0P3PCdkjAIoSwmOQZFlO7hAomKyhmmGHJVMASEqKOSRk+XB1k2ry5Ok5l0iSbKvpmKC4u7vkDWiHFtOLdu3czatQoo8cqV65MdVdXAG7Mm2d8AoOAxShXs39/imuFhYVpD3GnRIkSODs7ExMTk7Jui6KoAQtA375ZmgZuGOxevnxZPxBbZ/78+QwaNMjoMXd3d30XUoZoNFC1qrotM4VsjgQsQgiLyWqXkC440THMsJjcJRQQADVrqsXKnJ3VQbW7d6tdQTZs8ODBvPTSS/z9999p7qMoSooxJJ6enqnu66sNWG4dPw664nuKolag1TL6YGjaFFauNDqHYYYlT548NGjQAIB9+/YZX+zUKTVT4ewMr7+eZvt1IiMjadiwIZ/qZhMZMAxQt27diqIolC5dOtWusKFDh+rbmXya93NVr65+TRYQCeuTgEUIYTGmdgkZzhKC1DMsmeoSWrBALQx27x5Uq6bWVPngA5ss/JbcihUrAFL9ENe5d+9eikqz9gZjUgwVb9IEgOGAX+PGhLzyCgF2dow8d46n2n1SfDD8+KPRXcMMC0CzZs2AVAIWXXalUye1q+U59u7dy5EjR5g7dy737983ek63RAOgL4rXqFEjZs+ebdQ1NWPGDL799lvKlSsHwIULF557XSPVqqlfJcNicyRgEUJYTFa7hLy9vY2eL1KkiD7rkl5RMz1FgYkT4eOP1XEUffqotVaqVMnoS7AZly9fNrr/9OlTRo8ezbVr1/TdQfny5aNGjRrpDjb11QYsicDhc+fw3rWLFsBsYLl2nxRh3IkTagE9LV2GRRewvPzyy4AacOi7YBITYe1adbtHjwy9RsPVpXVrSekYBiw6fn5+jBgxgidPnnDx4kUOHz6s7warpF2A0nA2UYaYK8MSFqau6C3MRgIWIYTF6FZa1jG1S6ia7r9drcKFC1OxYkUATp48yZUrV9I+WWKiWgBu2jT1/rRpsGIFaLtEcgLD8RcxMTFG389+/foxa9Ys2rZtqx+UXKdOHU6fPs2kSZPSPKeuUnBqArVfU3wwREaCQaZCl2HRzUDy8/PD3t6e27dvE6z7kP73X7h7F9zc1PWWMsAwKPnll1+MXn9qXYCvvPKK2l47O33XlK6LqHLlykDqAUtgYGDamRfdGJZbt8DUbseICFi9Grp1U8cE+fioWbwuXdTvocgSCViEEBaTvJvC1ICluu6/XcDR0RFHR0fKly9Phw4dSExMZObMmYAaGBllcxRFnZGyZIn6gbFkCYwfnyO6gAwlryNy8uRJ/fbmzZsBuHLlCkePHgXUgOV5UgtYSmm/7gcSL182/mDQ7a+9BqTMsLi6uuq77/SZL90Ci02aZHhAs2FQEhgYyMyZM2nSpAkvv/wyDx48MNq3cuXKVEhn/FEVbRYt+eDc27dv8/LLL1O5cmUePnyY8kAPDyhWTN02ZabQ48fqGKkePeDXX42f+/13dSxQsm4uYRoJWIQQFpM8YDFltWZQx6zoGGYXxo4dC8APP/zAL7/8QtmyZalWrVrSh+UPP6jr1tjZqf/xDhmS5deSXWJjY4nWLr6X/EN606ZN7Ny5k8HJpgfv0QYHusGv6SluUAfFC5gAnAJcgSfAhWfPsDMM7LSF4fj3X/1DyTMskBS86FfR1k2bbtFCv090dDR79uxJkXnTSZ5FGTt2LAcOHCAwMDBFcbivvvoq3ddZq1YtAE6fPm003fofg7EpaZ5DO/6FZN1waVq/HkqXNl6jqXJl+O47dXaUkxOcPJlUj0ZkigQsQgiLyWqGJS1NmjRhyJAhKIpCz549uX37NhcvXuTtt98m/tgx0M4S4csvQVvhNafo0KEDJUqU4PHjxykCllmzZtG6dWu+++47o8d1hfXq16//3PMbjgt6A5gKeAANtY/tP3wYuyJF9Pskli+vbhhkG5JnWCApeAkNDVWDlT//VJ9o00a/zyeffELLli3TDBR0XUITJ06klW71ZC1dUPbKK6+wZ88eOnfunO7rrFChAi4uLkRERBh1HRpOEV+6dGnqP5OmBCxnz6pZlbAwNTtz7Jia4Tt3DgYOVLshdes7rVyp1vsRmSIBixDCYiKT9dtnJmAppkvPJzN37lyaawu9aTQaXFxc2LlzJ+Nbt1ZX3O3YEZLVIbF1N27cYNeuXTx48IDdu3frZ8rUrFmTIgZBRGo8PT0pUaLEc6+Rx2C5gcoGj+sCluPHj6Mx2CdGO/sGbVAEKWcJGW6HPnmifoAnJqpVhLWZDlADBIAvvvgi1bbpMiwFCxZMEdToxqLUrl1b/76nJ0+ePPoqvIZdaYbBS1RUFDdv3kx5sC5gSW+MFKivceBAdUBypUpqhkW3HpGhxo3V74WiqDV/RKZIwCKEsBhTu4SST2sG2LBhA56envrpvTouLi7s2LGDWbNmsWbNGlZqp97OCg3lnI8P/PRTltassQbDWiuXLl3SZ1i8vb2ZO3cuFStWZMOGDUyYMAEw/j698sorGVplGeCHTp14B+hv8Jhu9MvJkyeNzhv90kvqxvXr+lWeDeuw6OgDllOn1AJ9rq5ql4iW4QDafPnypdouXYalYMGC1K9fn02bNtGlSxejfZJPdU+PrlvIMGBJPtsqRbE7AN1rfl6GZds2OHJEXSPJ3x/Sa5tu5tYffzw/EBKpylm/zUKIHEUXsOj+qzfMsPz999/Mnj3b6IMstQxLgwYNCAkJoW/fvinO7+joyMiRI+nevTvdLl2iq/bx2bVrp//hYaN27Nih3z506BCnTp0C1OncPXv25MKFC3Tt2pUpU6Zw4sQJzp8/T7169RgyZAgLFizI8HXea9SI1YB+KGzFimhX0eHs2bNG04tjXF3Bz0+9s3Ur8JwMy6FDJAAxXboY1V4JNpjimzdv3lTbpcuw6Kaud+nShZEjRxrtY0rAohuEfPjwYf1jugyL7hqpBiyGXULpVcpdskT9Onhw0kDdtFSsqK5dpSjq0hDCZBKwCCEsRtclpPuP2jDD0rZtW0aOHMlugzVtMjqGJYW1a2HSJHQdQL/s2JGiVL2tO3DgAFu1AQHAn3/+ycKFCwHjwcegdoHVrl2bChUqcPToUZYsWWLSB7nR1O527WDnTkrWrEkBFxfi4uKMxs5ER0dD27bqHe36PellWJYfPUoJoOjmzdzQZmQAzhiM3Xjw4EGq3YO6DIthhePq1asbZY6SVz9OTwvtgN9Dhw4RFhZGfHy8/ueiQ4cOQNI6VUbKllW/hoZCWvV+nj2DnTvV7X79MtagTz5Rv/74ozqrSJhEAhYhhMXoMiy6gEX3IWWYVbl9+7Z+2+SAJTQUJkzQFyZrMGwYrVq1Ii4ujvHjx2e5/dklIiKCLl26EB0dTW3disEGnjd+xWQuLknbnp5QrBiaU6eo3ahRil1jYmKgdWv1TkAASmJiuhmWawkJ3AXCIiP1U6/BOGCJj483yrjoGI5h0cmbN6/RAFxTArMyZcrw0ksvER8fz549e7h58ybx8fE4OTnRsmVLII0Mi4tL0qrSqT0PahdQTIw6O6hy5dT3Sa5lS7WSbmQkJCuMJ55PAhYhhMXoAhZdF4AuIDGsL+JkUKMj+bTmdP3yizrW4MsvkwY/fvMNX3/9NRqNhjVr1phelt1KVq1axcOHDylTpgyBgYEpnnd0dDTvBQ0zLAZZktTqmkRHR6v1RQBiYoi+f19f8ya1gMWQYfbsxIkTRs8lH+yamJiYoktIZ4jBtHTd0gwZ1U5btG7btm0cOHAAUAsS6goQphqwAOhmR6U1jmXLFvVrp04Zr++j0UBXbcfl9u0ZO0boScAihLCYtLqEDAt2GXYNZDjD8v330LMnPHyojg349VdYtgzs7alVqxavvvoqAP/73//M9loyIzo6moULF9KiRQvWrVuX6j6KoujHn3z88ce4urqyZcsWo/L6GSkIZxIHh6Rtg+9/amNLoqOj1QBH+x6GaRdZ1Gg0uLm56fdzT6U43N69e4mPj0dRFPZrV33WvbfJA5awsDB95i15wPLaa69RoEABozWDMqpjx44ArF69mtWrVwPQpk0bymsDkqCgoNQX0kxvarOiwF9/6RpnUnto31796u8PyZauEOmTgEUIYTFpdQkZBizh4eH67dRmCaVw927SWIBPP1UXqXvzTaP/cnv16gWo5d0Ni4Zlpz179lC1alWGDRtGQEAAPXv2ZN26dQQHB/PDDz/w66+/EhERwaFDh7h48SJubm76gcUdO3Zk0qRJ3L59mz/++IOmTZuat3GG3THaTAOoFWuT0w/A9fICIFQ7BiR//vxG75O7QWE5Ly8vPDw8CAsL4+TJk1y9epWQkBAcHR15U1uIrkePHvypq9VC0vgVFxcXnJ2djdrg4ODAlStXuHDhgskZltatW1O7dm3Cw8P1g5pbt25N4cKF9eX7d+7cadRNCSRlWFLLwNy8qS6k6eCgVvI1Rd26ULiw2p2ZfLFIkS4JWIQQFpNWl9DzApZ0Myzjx6trtjRsCLNmGWcLtDp16kT+/PkJCgpiiy51n02io6P56KOPaNmyJVevXtUXaouPj+ftt9/Gx8eHAQMG0K1bN8qWLatfrK9r165Gg1hBrUHTqVMn8zfSoPosffroNw0zJoavB9AHLP7abh6jEv8JCbgvW6a/6+vrq6+Vsnv3bn12pV69evjpZhwBv/32m347tfErhgoWLIiPj8/zXlkKdnZ2+iUcAJydnfVt0HUXdevWDUdHR+rXr59UOyiVgnl6x4+rX6tXz/CyA3r29uraQqCW7BcZJgGLEMJikmdYUusS0g3ghAwELOfOqfVVQJ0amkYmxsXFhQ8//BBQy7s/r/6LOY0ZM4Zvv/0WUMdeXLx4kaioKEaNGqUPCMqWLUuJEiW4f/++flxFz549s62NVK+uVlx99MhoDEu6GRZPT+KBOdoPWcNxJYwcieEIlmLFiukHte7Zs4d92kxCkyZNeP/99/VVap89e6Y/RhewmJpByYhXXnmFbdu20aJFC6ZNm6YfN9XOYFHG+Ph4jh07xk7dzB/dit4XLqTsujl2TP2aWpG4jNBV/927N3PHZ5OoqCijfyisTQIWIYTFJB/DogtIHhlMFTUpw/LFF+r4ga5d4Tll6EeNGkXBggW5cOECLi4u1KtXz6gwmzkk72568uQJy5cvB9QxE0uWLCFfvnw4Ozszc+ZMnj59SmRkJFeuXOHy5cvMnDkTNzc3qlevrv+AzzbVq6eoVZNawGKYYTkOXH/0CA8PD/rppvLevQsLFxoFLD4+PvrXExgYqO/6ad68OY6OjvqAJTIyktDQUHr37s3GjRuBtIvKZVW7du3YvXs3n376qf6xpk2bUqRIEZycnPDSZpD0PyMlS6rjduLiUmZZdBmWzAYsui6+s2fVkv42SFEUihQpQv78+ZN+BqxMAhYhhMWYtUvon3/UwbUajRq4PIeHhwdz584F1P+ejx8/rq/9cvHixZRjFkwQHx/Pm2++SYkSJTh16hTBwcFMmTKF5s2bExkZSbVq1Xg7lTWM8uTJg4t2SrGjoyOjRo3i8ePHHDlyxKhkvrWk2yVUtCi6tYbLly+fFNxs2QJxceQ3KMHv7e1N5cqVKVq0KFFRUTx48ABnZ2eaNWsGJAVGz549Y+rUqfzvf/9jibYIm6UCltQ4Oztz/Phxzp8/r182QB+w2NmpQR2oP3s6iYmgm/FUr17mLuzlBSVKqMG3QRVeWxITE6PPgKW6fIEVWP83RAjxwspIl5BhwJLutGZdkNKtG1StmqHr9+7dm4MHD/Lbb7/RrFkzNm3axOzZs5k9ezYVK1akbt26VKpUievXr+Pi4sKZM2do27YtY8aM4cmTJ+TNmxcnJyeCgoKIj4+nTJky3Lhxg3HjxrFhwwZA/c89NDRU33Wi0WiYPHlyhsvkm33Kchak2yVUuDC6UmdG40y0Y1rcO3QAbWVed3d3NBoNb7zxhj4Q8fPz0wdrusDo2bNnRnV4IO0quJaiW3+pUKFC2Nvbc/nyZYKCgtTHq1eHAwfU7rN331UPuHJFHTDr7Jzx+iupqVcPgoLU4nMZWBspuxmWHnBIZZyYNUjAIoQwn4cP1f8Yz5yB//4jUjujxNRZQikCljt3QFeE7PPPM9wcjUbDsmXLWLJkCXZ2dmzevJk5c+Zw7Ngx/vvvP/0qx4b27dvH1KlTiY6OpmrVqpQrV45N2iJf+fLlS9Gnr1ug0M7Ojs8//5w33niDqhkMqGxNul1CqQUsiYn6gMW1bVu1Jg5JQcdXX33Fd999R0JCAl119UcwDliSzwjK7oBFx93dnfLly3PhwgUuX76cFLCAcYZFO+aI2rVTHfCdYX5+sGGD+j2bNClr57IAw4DFWjPtkpOARQiRNRcvqrMdNm+Gw4eN1l7RLX2YXpdQaoNuU0xr/vln9cOxSZNM/VerO1+XLl3o0qULoaGh7Nq1i927d7N27VoaNGjAiRMnePz4MXFxcfoP6X///Zd/DabrhoeHY2dnR8uWLRk3bhzlypWjQ4cOnD9/no0bN/KaqTU5bIzJGZa9e9Ug1c0NTYMG+mN0AZuHhwfnz5/njz/+YNCgQfrn0wtYsrNLKDlvb28uXLhASEiI+kBqAYuusF9Wp5r37g2ffZZ0zuwew/QchoF5nI3Ui5GARQhhunv3YNUqWLkSzp83fq58eahRAwoVIko7LiDfvXvA87uE0sywrF+vfu3d2yzNd3d3p2vXrnTt2lW/Xo9he27cuMHx48d57733cHZ2Zvv27dSqVYu7d+9SuHBhChcurN//1KlT3L9/Xz99OSdLdwxL8oDl9OmkD9mmTcHRkX379nHz5k3qGYztKF++PJ/pPpiTXScyMtJmMiyAfuCtftmAatXUr3fvqitQe3mZL2ApUkSdUv7TT7Bjh80FLIYZltjYWCu2JIkELEKIjNu/H+bMUQda6iqkOjiof2w7d1arfhqsWhu5ahVERpLP3x9QAxJFUUwLWO7eVbuZNBr1GhaWL18+qlWrRrVq1ShXrhxFixbVV0VNXidF19YXIViBjHcJFbC3N67wOnQooM66yUiRO8NBt7YUsOjeR32GJV8+Nfg+cwb27FHr11y5ov4sNm6c9Qu2aKEGLAcPZv1cZmYYsEiGRQiRc5w8CcOHJ/13CWrhtv794a23wGAdGUVR+Pvvv6latSpR2n75vLp+f9Qsi0kBi24F43r1INmqxZbWxNQqpjlchruE1q+HW7fU4PTgQXXGiwl0GZaoqKgUAzqt2SWky7DoAxaAVq3UgGX37qRFI6tUAXPUi9FNzd+/PykgshG2GLDItGYhRNpCQ9X/nuvVU4MVR0cYNAj+/RcOHYIBA4yCFQB/f3/atWtHrVq1iNKmkgsZ/MG7efOm0fpBGQ5YtOsDCctJN8Pi4MBj7ftS8Nw59bENG0wOVsC468mweBzYWJcQJHXV7N6tdoMBmGttpwoV1NWeddc5etQ85zUDW+wSkoBFCJG6AwfUQYeLFqkDXt9+G65eVRcZ1FUBTcV27Sq0Dx480E9rLgQU1P4nfVxbdEs3EDY2Nlb/X3yKac2KkpTVad3arC9PpJRuhgV4rJ2qXRDU9XCeU7wvLbrpzQBPnz41es4WAhajDEuTJmoX0LVr8Mcf6mMGNWeyxM4uaXyW7lq6pQGs7IXJsCxevJjSpUvj7OxMnTp1Ul0OXWf//v00btyYQoUK4eLiQsWKFfnmm29S7LdhwwYqV66Mk5MTlStX1k8jFEJks8REdZxK8+ZqnYgyZdRaEWvWQPHizz08tQJoLkAJbfbkmLas+UsvvaR/fsuWLURFRXHkyBHAYJbQlSvqLBQnJ3UaqbCo1N47wwzYY+0MsIIAHToYLThpCjs7O33QkjxgsfYsIUgWsLi7J9X90daZ4ZVXzHfRunWTSv3HxakD2W2ALc4SMjlgWbduHcOHD2f8+PGcOnWKpk2b0r59e4KCglLd383NjaFDh7Jv3z4uXLjAhAkTmDBhAt99951+n0OHDtG9e3d69erFmTNn6NWrF926ddP/8RJCZJPbt9V1Tj77DOLjoXt3NQ3eqpUJp7id4jEXZ2dKarMnR7Vpbx8fH/2aLm+99Raurq7s1tb00GdYdIMR69Y1fZE5YRbXtbV04uPjCdUGnQXBaJXnzNB1C+nWENKxhQzL48ePjTJLaFf/BqBdu3QzjJlSty7o/pHXrZVlZS9El9DcuXPp378/AwYMoFKlSsybNw9fX199NcPkatWqxTvvvEOVKlUoVaoUPXv2pG3btkZZmXnz5tG6dWvGjh1LxYoVGTt2LK1atWLevHmZfmFCCBP5+0PNmrBrF7i6ql0/a9aoMyVMkLyMd548eXCoXRvdSAddhsXToCsoOX3AovunxWCFX5G9Ll++DBhnQgqAutZOFugCFlvqEipYsKB+EPA97VR8AEaMgAUL4OuvjbtwzOmdd9QuoqNH1e4nK8vxXUKxsbGcOHGCNrqVJrXatGnDwQxOyzp16hQHDx7UrykBaoYl+Tnbtm2b4XMKIbIgMRGmTYO2bdXVe2vXVlPfgwZlKuV/48YNo/suLi5Qt64+YNEFKZ7p/H7rA5azZ9Wv5hozIEz26NEjnjx5wuPH6hyhfIADQKlSWTpvWhkWa3YJaTSa1Afe2tvDsGFq5tFS7fP0TBrgu26dZa5hghwfsDx8+JCEhAQ8PT2NHvf09DTu80tF8eLFcXJyom7dunz44YcMGDBA/1xISIjJ54yJiSEsLMzoJoQw0ePH0KkTTJyoDnAdOFAdbKutO2KqmJgY4z/0aNchqVOH5HNJPIH/AX3LlqVPnz5Gz9nb26vt0VWZzaGl7nMyJycnfHx8ADXLogss9KsIVaiQpfPrBvjaUpcQJK0tpOsKy1a6BTN//DGpzpGVvBBdQkCKRb0URXnuQl+BgYEcP36cpUuXMm/ePNasWZOlc06fPh13d3f9zdfX18RXIUQu988/6vTMrVvVhdx+/BG++07dzqRbt26hKAp2dna8/fbbODo6qoXEGjRIEbB41a9PT2DF1aus6NWLVatW6Z+zt7dX1w96+lT97zaLH47CdHFxcZQrVw4wDlgKgDrotFChLJ1fl2FJ/s+mtQOWCtqftYsXL2b/xbt1g4IF1cHm2sU1rSXHZ1gKFy6Mvb19iszH/fv3U2RIkitdujTVqlVj4MCBfPLJJ0yePFn/nJeXl8nnHDt2LKGhofrbrVu3THkpQuRu27aplTpv3FBnAR06BP36Zfm0uu6gChUqsGbNGsLDw9VVjStUoKRuXRYtz7Fj9duab7+lpMGYCHt7+6TsSoUKMuDWChITE40CFl1gkb9hQ7XScRaltgxAeo9nF11V40uXLmX/xfPlgyFD1O3Vq7P/+gZy/CwhR0dH6tSpg7+2zLaOv78/jRo1yvB5FEUxGmzn5+eX4px///13uud0cnIif/78RjchRAYsWQIdO0JEhFpZ8/hxdbCtGRzQVrStVKkSoP7N0I1H8Xz3XaMsi2fx4klByV9/4e3oqH/Ozs5OuoNsgC5guXjxov4DLG/BglnKwumkFZikWEcqm1k1YAF1Zh7A9u1gxaEOL0SX0IgRI/j+++/58ccfuXDhAp988glBQUEM0UaFY8eOpbfBAmWLFi1iy5YtXL58mcuXL7NixQpmz55Nz5499ft8/PHH/P3338ycOZP//vuPmTNnsnPnToYPH571VyiEUCUkwKefwgcfqANt+/ZV/ygWKGC2S2zR/ufdsWPHFM/ZjRjBTwsW6O/7+vqq00Pr14f4eLz37NE/FxUVJQGLDaiuzYqdPHlSH7CYa1BsakXqbIFhl5BisPJ4tqlWDcqVg5gYdZaeldhil5DJawl1796dR48eMWXKFIKDg6latSpbt27Vp3ODg4ONarIkJiYyduxYrl+/Tp48eShbtiwzZsxg8ODB+n0aNWrE2rVrmTBhAhMnTqRs2bKsW7eOBgbLlQshsuDRI3XapC6T+eWXMHZspgt/JRcUFMRrr73GmTNn0Gg0vJpaGX0HB5oPG8b28uUJCwtL6vLt1w+OHiWvQQr8/v37STOEJGCxGt2qy5cuXdJ3u5srYLF2109aypYti0ajITw8nHv37ulnDaXn5s2beHt742iQJdRRFEU/ritDNBp1VfKJE2H5cjD4rMxOthiwoLwgQkNDFUAJDQ21dlOEsC0nTypKyZKKAori6qooa9ea/RLvv/++AiiA4ufnZ9rBT54oipOTomiPB5QunTsrirOz2ubLl83eXpE2DN4HRVGUMmXKKIBSs2ZNBVA++eQTs1xn5MiRRtcyvKa1lS5dWgGUgICAdPcLDQ1VOnbsqABKrVq1lM2bNys3b97UP5+QkKA0aNBAKVeunPL06dOMNyAkRP3ZB0W5cyfp8bNnFeX99xVlxgxFCQtT7z96ZOrLyxAPDw/9ezJ58mSLXEMno5/fspaQEC+y//0PGjWCmzehbFl1cK2uj9xMYmJiWLt2LQD169c3qmKdIR4e0L690UP3bt6E6Gi1gF2ZMmZqqciIqVOnAjBt2jRAfU8BTmsX/rNkhuWzzz4zy7mzqoq2ku0///yT7n6zZ8/mzz//BNQaY126dKFBgwb61ciPHDnCkSNHuHz5MhMnTtSvrfVcnp7qgqMAf/+tfo2LU9fTWrIExoyB/PnV7qOqVeH+fdNfZDoURbHJDIsELEK8iGJj1UJXvXurH/wdOqjrlSSbqZMVN27c4NNPP2Xq1Kk8efKEYsWKcfDgQapmpgvn9dcBeFn7IdZb98e6ShW1+qfINuPHj+f69euMGzcOSApYdCwVsGzfvp2vv/7aLOfOqtradatOnjyZ5j7R0dEsXboUgA8++EA/HTskJISuXbty8eJFNm7cqN//22+/pVixYhmfLq0rIrd3r7qeVo8ekFptsuBgdaxLXBxcuqTmZbIoJiaG+Ph4/f0cO+hWCGHjbtyAZs1g4UL1/qRJ6jRUMw6uBRg6dChz587lyy+/BGDw4MGZn+HRsSPY27P12TP2r1vHIN34lmrVzNRakVEajYZSpUrp62CVSZbhstSgW8MVnK1NF7Cc0i12mIoNGzbw4MEDfH19mT9/Pg8ePOD48eM4OzsTGBhIxYoVmT17ttExT5484d13381YxqJtW/Xrr7+qWdJff1Xvf/45jB5tvO/27TBypFoCYMSIDL/OtCSvjSMZFiGE+W3erE5RPnxYXWX2999h8mSzZyn+/fdf/vrrL/39Zs2aMWbMmMyfsGBBaN4cN6BxUBB22u4HCVisr3Dhwkb3LZVhSW3AqrXU0i4Fce7cOaKjo1Pd57fffgOgb9++5MmTB2dnZ+rUqcPJkydp3ry5fj9vb2/Cw8MJCgrCw8ODkydPsnfv3uc3onlztVvo2TPQrueEg4O6ZMaXX8IffyQFMdu3w/z56va8eRAamolXnUQCFiGEZS1YAF27qn+sGjZUV1l+7TWLXOrbb78FoH379mzatIm//vpLv2hcpmm7hfj1V9i3T91u2jRr5xRZlhsDFl9fXwoVKkR8fDz/6qbXG3j27Bnbt28H4I033jB6rlKlSvz99998+eWXTJgwgUOHDpE3b158fX1pq82a6BYATZdGA3PnJt0vXBju3YNixdTqz506QZcukFpmShe8ZFJosoBHuoSEEOahKOogvI8/Vrc//FD9wM/i4nRpiY2N1f93+emnn9KlSxfzTFHt3Fn9evSoWjCrUCGzFbQTmZcbAxaNRkOdOnUAdeBsctu3byc6OpoyZcroa9UYcnBwYNy4cUydOtWogrNumniGAhZQu4Jeflnd7tEjZbdunjxqbSVQl0vQDpRm0iR13FomMyPJAxbJsAghzGPiRJg5U93+6iv49ls1dWwhO3fu5PHjx3h5eRmlvrOseHH1j6zOm2+q/0kKqypQoIBRDRFLjWHJcobOzJo0aQKo6+AlFxAQAMCrr7763HX0DNWtWxeA48ePZ+wAOzu1u+evv5KCkeSmTFHXBdu+XR3bostKbtsGu3dnuG2GpEtICGF+q1er/dkAy5aZtRhcahITE/UDCbt162b+MuqzZqnrqXh6wvjx5j23yBQ7OzsKGSx0mBsyLIC6aCdqwKIkm3mjW4JCF9RkVO3atdFoNNy6dYt79+5l7CAXFzWQT2tRSI1GHetlb69mXLZvhyJF1Of27zepfTrSJSSEMK89e9Ty+qDOEBg0yKKXUxSFyZMns2fPHlxdXRk2bJj5L1KlCgQFwdWrICuw24zcGLA0aNAABwcH7t69y/Xr1/WPR0REcObMGQCT1tAD9XtXuXJlAP0YGLNzdQVtLR39WDATSZeQEMI8FEUtCNe5s9pH/dZbMGOGRS/57NkzBg8erC8qNn/+fF566SXLXMzDA2y0bHtuZdh9k1sCFhcXF/2Yk30GH/xHjx4lMTGREiVKULx4cZPP+8477wCwZMkS8zQ0NX5+6td9+0A73swUui6hPHnU1XskYBFCmO7RI3VsR+/eEB6uFpdatcqixdX++OMPKlasyPLlywGYM2cOAwYMsNj1hO1xcnLSb5trDSBbH8MCxt1COocPHwbATxcUmGjAgAE4ODhw5MiRdOu8ZEm1akldw2+9BQZF4DJCl2HRDbiWLiEhhGlCQtQBdRs3qn3VX34JO3aAs7PFLrlkyRK6dOnC7du3KVmyJP7+/owwQ2EqkbMYBiymDDJNj61nWCApYDHMsOiWKNDNIjKVp6cnnTp1ApJWNzc7jUadbadj4gKKyQMWybAIITLu3j1o1QouXFDrMBw9CuPGqYGLBSiKwhdffMEHH3yAoigMGjSICxcu8Morr1jkesK2GQYs5uLs7GwU/NhiwNK4cWM0Gg1XrlwhODgYQD9+pUaNGpk+r64ey9+6dYIsoW5dddYgwI8/Qir1ZNKi6xKSgEUI8Xznz6szZqZPV6cqVq+uPlasmLq2iLYSp7nFxMQwf/58mjZtyuTJkwGYNGkSS5cutanS6SJ7WSJg0Wg0+iyLRqMx/4wzM/Dw8NDXWQkMDOTZs2dc1ladzUrA0rp1a0DtXko+hdisxo5NWljUhODIVruELPPvmRAicy5dUqfzpjZQrkoV2LRJXXXZjGJjY3n48CG7d+/m888/18+I0Gg0LFiwgKFDh5r1eiLn8fDwsMh5XV1diYiIwMHBwWxdTebWrFkzzpw5Q0BAACVLlkRRFIoWLYqnbr2rTChdujQvvfQSV65cYcuWLfTo0cOMLU6mYUO1JsvZsxk+RDIsQoi03b2r9jNXrqwGKxoNvPoq9OwJQ4aoKd1jx6BcOf0hx44d47fffktRI8IU27Ztw9vbm2LFitGrVy+uX7+Oj48PM2fO5MSJExKsCACmTZuGr68vX+m6GMxEl2Gxxe4gnZbaVZN3795tlu4gnV69egHw+eefExERkeXzpUm3evrKlZDBmUm2OoYF5QURGhqqAEpoaKi1myJExiUmKsrChYri4qIo6oRlRenYUVH++Sfdw27cuKG4uLgogNK7d28lPj7+uZdKSEhQNm/erPTq1UsZOHCgUrt2bQXQ38qUKaN88cUXSnh4uLlenRDpqlq1qgIoBQsWtHZT0vTkyRPFzs5OAZSWLVsqgDJ69Ogsnzc8PFzx8vJSAMXDw0Px9/c3Q2tTcft20t8WUJSwMCUsLEyZNGmS8u+//6Z6SPHixRVAmTdvngIo5cqVs0zbtDL6+S0BixDWcuuWorRunfSHxM9PUfbtS3P3O3fuKFevXlUSExOVzp07GwUb33zzTarHREZGKitXrlS6du2qVKpUyegYQHFwcFA++OADJTo62kIvUoi0NWjQQAEULy8vazclXXXr1jX6vdmXzu+pKXbv3q2UKVNGARR3d3flypUrZjlvCsOHJ/2dOXhQGTZsmP61pCZ//vwKoPz8888KoJQqVcoy7dLK6Oe3jGERwhp+/VXtAnryBJyc1MG1w4enWVb/xIkTvPzyy0RGRuofy5MnD4MHD2bRokWMGzeOatWqER8fz+7du3n06BGJiYls2rSJp0+f6o9xc3Ojd+/eODg4UK5cOd5+++0Ui9sJkV1yQpcQQJcuXfTr/zg6Oppc4TYtLVq04Pz58zRv3pzDhw+zZMkS/dIXZvXNN+osoZ074cIFDh48mOauiYmJhIeHA8ZdQnFxcVavlSMBixDZKSwMhg1Ti70B1KsHP/8M5cuneUhUVBSvv/66UbACMHv2bD766COuXLnCjh070pxyXKpUKXr37o2vry/t27enWLFiZns5QmSFrnictT8In2fEiBFMmDABgNdee82sM5qcnJz48MMPOXz4cKoLLZpNlSpqwPKc9YXCw8P14+IMZwk1bNiQoKAgNmzYwMu6FaSzmQQsQmSX/fuhVy+4cUOtTDtuHHz++XNXVj569Ci3bt2iaNGiHD9+nDVr1uDk5MRHH32ERqNhw4YNvPPOO2zZsgUvLy86deqEt7c3jx49omPHjrRu3domp4wKkVMyLC4uLpw5c4ZZs2YxZcoUs59ft4jiyZMnefbsmdmqCRvp0AHmz4eVK9HoBuKm4uHDh4AaTObVLrgYFxfHjRs3ePz4MQUKFDB/2zJIAhYhLC0uDr74Qu32SUyEUqXUrErjxhk6XFe+28/PD19fX0aNGmX0vJubG3/88QfR0dE4W7DqrRDmllMCFoDq1avz888/W+TcJUuWpHjx4ty+fZsjR47oZyaZVatWULMmnD6NxnCK8xdfQKdOULs2AHfv3gWgWLFiOGgLUxp2K5csWdL8bcsgmdYshCVdugSNGqll9BMToU8fOHMmw8EKJJUCr/WcYnESrIicJicFLJak0Wj0WZY9e/ZY5iL29qDtNjYaKTd5Mnz8sf6uLmDx0WhwrFvX6BQFChQgf/78lmlfBkjAIoSlrFihVqQ9fhwKFID169VaCCb+wusyLDVr1jR/G4WwopwyhiU7dOjQAYA1a9ZkqbZSukqXTvGQAmp3tfaa+oDl0iUcDDIroI6HsyYJWIQwt6goGDgQ3nsPIiPVVOw//6irppooJiaG8+fPAxKwiBePZFiSvP7667i5uXH16lX9itBml0qGJUa3cfs2AHfu3AHAB0geRlqzOwgkYBHCvB49Uv8ofP+9OkV56lR1DY/ixTN1unPnzhEfH0+BAgUoUaKEmRsrhHVJwJIkb968dO3aFYBvv/021X1OnTqlDyiS+/zzz2nbtm36VXPLl4cnT1AMAo8I3QKq69cDBhkWIPm7IhkWIV4Uhw+rXUAHD4KHB+zYARMmqDOCMkk3fqVmzZo2u9aKEJmVL18+wDKLK+ZEw4cPB9RuoZMnTxo9d+HCBerVq0ejRo2IiYkhISGBt956izfeeIOwsDCmTp3K33///fyBwR4eRBksZBrevLm68dlncOQId2/dAsDH2TlFhkUCFiFeBD/+CM2awa1b6no/+/eDdkXWrNCNX3negFshcqJXX32VDh06MGTIEGs3xSbUrl1bvxDi/PnzjZ7bvHkzCQkJBAUFsXLlSlauXMlvv/3Gxo0b+e677/T7BQQEPPc6ETExSdvaWitngAcNG3JXW6fFJz7e5rqEZFqzEFmhKDBnDowcqd7v2lUdWKv9zzGrDDMsQrxofHx8+Ouvv6zdDJvSu3dvfvnlF/YnK/Dm7++v3x42bBh2Bpnb6dOn67fXrVuHk5MTTZo04b333ku1BpNht1F4q1b8s3YtNQFPQPdMsfj4FBmNsmZeKd5UkmERIis++SQpWBkzRi25b6ZgJTExMcNTmoUQL4YGDRqg0Wi4du0aISEhgBpgGAYwcXFxxBhkSR4/fmx0jlWrVjFo0KA0g0HDgCWiRAm29OsHwD3gmfZx72TH1KlTh6rpFJzLDhKwCJFZN26olSMBZs+Gr77K0niV5C5fvkxERAROTk5UqFDBbOcVQtgud3d3qlWrBqBf82fDhg3ExcVRtmxZjh8/jrOzMwUKFOCLL77QH+fs7Mzq1asZNmyYfrzbiRMnUpw/ISGBqKgo/f3w8HCiPD2N9vEAXLXbnwEd2rZl165dVh9HJwGLEJkRHJxU06B8efj00zQXLsysGTNmANC4cWOpUyFELqJbXPHAgQMoisK8efMAGDhwIHXq1OHKlStcvXqVd999V39Mv379eOedd1iwYAFz5swB1FmGySVfkywiIoLQZDOLfAy2vwb+WrcOd3f3rL+wLJKARQhTbd4MPga/0nPnmv0SK1asYOXKlQB89dVXZj+/EMJ26RYX/P333+ncuTOnT5/GxcWFgQMHAmrZ/AIFClC2bFkqVapEwYIF9YszAvqum3///TfFuZNPew4PDycoKMjoMR+SiY/P4isyDxl0K4QpgoPh9deT7k+aBK++atZLbNiwgffeew+A999/nwYNGpj1/EII29a6dWs0Gg1Xr17l6tWr2NvbM2PGDAoWLGi0n0aj4ciRI8TExOhXVoakgOXy5csp1hhLHrBERERw48YNo8dSBCwJCVl+TeYgGRYhMiouDt55J+n+Tz+p63CY0aNHjxg6dCigzgRYuHChWc8vhLB9hQsXNhpov2LFCj766KNU982XL59RsALg5eVFwYIFSUxM5L///jN6LrUMy82bN40es9UMiwQsQmRETAw4OsLeveDkBIcOQe/eZr1EcHAwzZs3JyQkhAoVKvD1118bTV0UQuQeusUQAbp3727SsRqNRj9w9/PPPyc6Olr/XPKA5fbt24SGhho9Viz5CSXDIkQOoShguBLy5MnQsKFZL3H9+nWaNm3Kv//+i7e3Nxs3bpTqn0LkYhMmTOD1119ny5YtmVq6YMyYMTg5ObFlyxYWL16sfzx5wJLawFyfAQOMu74lwyJEDqEdoQ9AtWowerRZT3/u3DkaN27M1atXKVOmDPv376dy5cpmvYYQImcpUqQIGzdupGPHjpk6vl27dsyePRuAtWvX6h9PHrDoaj0Z8unfHzZuTKopJRkWIXKAzZthxAh1u3lzddVlM01fDgwMpF27dlSrVo3g4GCqVq3K/v37KVOmjFnOL4TI3d566y3s7Ow4duwYN27cIDo6OkXAkpBKMOKjmwWpWxhRMixC2LgHD5LSok2bgkFp7KzauXMn7du3Z8eOHSiKQoMGDdi7dy/e3snrSwohROZ4enrSrFkzAHr06EHevHn1WZeiRYsa7dtctwgi6qBdAHRl/SXDIoQNi48Hw5VJf/gh6b+NLHjy5An9+/endevWPHv2jJo1a7J+/Xr27NmTYsqiEEJklW7w7sGDB0lISOD8+fMAjB071mhQf9u2bQEoXrx40pgZ3d88GwlYpA6LEKmZOhV0FSF/+UVdgTmLNmzYwIcffsi9e/cAGDx4MHPmzMHNzS3L5xZCiNSktqzHiBEj+Pjjj1m+fLk+gOnSpQuFCxemnOHfOl2GxUa6hCRgESK5r7+GKVPU7YYNwaD8dWYEBQUxfPhwNm3aBEDFihX5/vvvady4cVZbKoQQ6UoesJw+fZoaNWoA6lgVXcBStmxZKlasaHywjWVYpEtICEPz58OoUeq2pyds3ZrpU0VFRdG3b19Kly7Npk2byJMnDxMmTODUqVMSrAghskXygMVwBmKVKlX026muV2ZjGZZMBSyLFy+mdOnSODs7U6dOHQIDA9Pcd+PGjbRu3ZoiRYqQP39+/Pz82LFjh9E+K1euRKPRpLgZFrsRwuIuX04KVpyc1NWYCxQw+TS3b9/m7bffplChQvz0008kJibSokULTpw4wdSpU43KZAshhCXl001N1jIMTCZPnsyrr77KqlWrUj/YxgbdmtwltG7dOoYPH87ixYtp3Lgxy5Yto3379pw/f54SJUqk2H/fvn20bt2ar776Cg8PD1asWEGnTp04cuSIUenh/Pnzc/HiRaNj5Q+7yDZ37kCnThAbq45XOXcOMrFC8u7du3nrrbd4/PgxAIUKFWL9+vW0bNnS3C0WQogs8fDw4M8//0x7Bxub1oxiovr16ytDhgwxeqxixYrKmDFjMnyOypUrK1988YX+/ooVKxR3d3dTm2IkNDRUAZTQ0NAsnUfkIlFRijJ2rKIUK6Yoaj1bRfH1VZSbNzN1uqNHjyqOjo4KoNSpU0fZu3evEhkZaeZGCyGEaV555RUFUN59913TDqxWTf27+PfflmmYVkY/v03KsMTGxnLixAnGjBlj9HibNm04ePBghs6RmJhIeHh4iimcERERlCxZkoSEBGrWrMnUqVONMjDJxcTEEBMTo78fFhZmwisRuV5CAvTpA+vXJz3m5AS7d0MqmcLn2bdvH++++y6xsbG8+uqr/Pbbb5IhFELYhF9++YW1a9fSq1cv0w7U/Q0z+Ky1JpPGsDx8+JCEhAQ8PT2NHvf09CQkJCRD55gzZw7Pnj2jW7du+scqVqzIypUr+eOPP1izZg3Ozs40btyYy5cvp3me6dOn4+7urr/5+vqa8lJEbhYXBwMGqMGKRgNvvgnvvQcHDsBLL6V6iKIo3L9/H0VRUjx38OBBWrZsyZ07d6hQoQK//PKLBCtCCJtRtGhRPvroIwqYOibPxUX9GhVl/kZlQqYG3WqSlSZXFCXFY6lZs2YNkydPZt26dUZV9ho2bEjPnj2pUaMGTZs2Zf369ZQvX55vv/02zXONHTuW0NBQ/e3WrVuZeSkitwkKgtdeg5Ur1WDll1/g11/VwnB16qTY/ccff8TV1RU3Nzc8PT0ZO3as0fPnzp2jV69eJCQk0LlzZ44cOYK7u3s2vRghhLCgnBywFC5cGHt7+xTZlPv376fIuiS3bt06+vfvz/r163nllVfSb5SdHfXq1Us3w+Lk5ET+/PmNbkKk6+JFaNQItm9XR7///DO8806qu8bHx7N+/Xo++OADoqKiiNL+ws6cORN/f38iIyP57LPPqFmzJteuXaNEiRL89NNPEqwIIV4cukxxTgxYHB0dqVOnDv7J1lTx9/enUaNGaR63Zs0a+vbty+rVq3n11Vefex1FUTh9+rSsqyLMIy4OFi9Wi8DduQMVK8LBg2kWhIuLi6NLly50796dmJgYmjRpwn///cfAgQMBtYR19erVmTNnDvHx8XTp0oXAwEAJVoQQLxZdhsVWSoyYOpp37dq1ioODg/LDDz8o58+fV4YPH664ubkpN27cUBRFUcaMGaP06tVLv//q1auVPHnyKIsWLVKCg4P1t6dPn+r3mTx5srJ9+3bl6tWryqlTp5R+/fopefLkUY4cOZLhdsksIZGqffsUpWLFpFlANWsqyv376R4yevRoBVBcXFyUzz77TP+zGhYWpnh6eiqAAije3t7Kn3/+mR2vQgghst+gQerfzY8/tuhlMvr5bXLAoiiKsmjRIqVkyZKKo6OjUrt2bWXv3r365/r06aM0a9ZMf79Zs2b6P/CGtz59+uj3GT58uFKiRAnF0dFRKVKkiNKmTRvl4MGDJrVJAhZhJDZWUUaNUhQ7O/UXrkABRfnqK0UJD0/3sOjoaKVAgQIKoKxduzbF8z/99JMCKDVr1lRCQkIs1XohhLC+339X/362bGnRy2T081ujKKlMe8iBwsLCcHd3JzQ0VMaz5HaXLqlTlg8fVu/37q2W3PfweO6h69evp3v37hQrVoybN29ir6v0aODKlSuULFky9VLWQgjxooiLg1OnoF49dZKChWT081vWEhIvjsRE+OYbqFpVDVby54eNG+GnnzIUrKxYsYLu3bsD0LNnz1SDFYCXXnpJghUhxIvPwQHq17dosGIKWa1ZvBiCgqBvX9izR73fvLkaqGSwCNx///3H4MGDAXWxsGHDhlmmnUIIITJFMiwiZ1MUNTCpVk0NVlxdYckSkyvWjho1iri4OP26WMWKFbNgo4UQQphKMiwi57p/HwYPhs2b1ft+frBqVZrVatOSkJDA7t27Afjqq6+ws5M4XgghbI38ZRY5065dalZl82a1n/Wrr2DfPpODFYDLly/z7NkzXF1dqVatmvnbKoQQIsskwyJyFkWB6dNh0iR1yfOqVeF//4OaNTN9ypMnTwJQs2bNNAfaCiGEsC4JWETOERcHH34Iy5er93v0gO+/TyofnUm6gCW91cGFEEJYlwQsImd48EANUPz9wc4O5s2DoUPNMt3uxIkTANSuXTvL5xJCCGEZErAI23f7NnToAGfPqmtbrFsHnTqZ5dSBgYHs3bsXUFcNF0IIYZtk0K2wbX/8AVWqqMGKl5daEM4MwcqyZcto2bIlbdq0QVEU+vXrR+XKlc3QYCGEEJYgGRZhuxYuhI8/VivYNmyo1lspXz7Lp924cSNDhgzR32/UqBHffPNNls8rhBDCciTDImzT1KkwbJgarAwcCIGBZglWDhw4wIABAwB47bXXOHnyJPv378fd3T3L5xZCCGE5kmERtmfuXPj8c3V72jQYN84sg2t37drFq6++SkxMDA0aNGD9+vU4OTll+bxCCCEsTzIswrZ89x18+qm6PW0ajB9vlmDl7t27dO7cmZiYGDp27MiuXbskWBFCiBxEMizCdvz6K+jGlowerWZWzGThwoU8e/aMevXq8dtvv0mwIoQQOYxkWIRtOHEC+vRRK9kOGaJWszXTkuZXrlxh6dKlAIwbN06CFSGEyIEkYBHWFxICXbpAVBS0b6/ODjJTsBIYGEidOnV48uQJlSpVopOZ6rcIIYTIXhKwCOuKi4M331SLw1WoAGvWgJnW8wkICKBdu3aEhYXRuHFj/v77b1krSAghcigZwyKsa/JkOHAA8udXi8SZaXrxrl276NSpE1FRUbRp04bNmzfj4uJilnMLIYTIfpJhEdaze7c6VgXUBQ3NUGfl8OHDNGzYkFdeeYWoqCjat2/P77//LsGKEELkcJJhEdbx4AH07KkOsh04ELp1y/Ipd+zYQZcuXYiOjgbg9ddfZ82aNTLIVgghXgCSYRHW8fHHEBwMlSurKy9nQUxMDEuXLuWNN94gOjqaDh06cP78eTZs2CDBihBCvCAkwyKy35Yt6uBajQb+9z9wdc30qe7evcvrr7/O0aNHAWjVqhWbNm3C0dHRXK0VQghhAyTDIrLXjRvQu7e6/f77ULt2pk4TExPDunXraNy4MUePHqVAgQJ88803bNmyRYIVIYR4AUmGRWQf3XiVp0/V1ZczuUJyWFgYbdq04ciRIwCUKVMGf39/ypQpY8bGCiGEsCWSYRHZZ+1a2LkTnJzg55/BxEzI2bNnGThwIGXKlOHIkSO4uLgwZMgQAgMDJVgRQogXnGRYRPZ4+hRGjFC3J0yAsmVNOvzGjRs0a9aMJ0+eAFCqVCk2bNhA7Ux2KQkhhMhZJMMisseECWoJ/goVYORIkw69fv06HTp04MmTJ1SsWJHt27dz5coVCVaEECIXkQyLsLzjx2HxYnV78WK1SyiDEhISaN++PRcvXsTHx4ft27dTsmRJCzVUCCGErZKARVhWQoK6+rKiQI8e0LKlSYf/9ddfXLx4kQIFCnD06FGKFStmoYYKIYSwZdIlJCxryRI4cUJdI2jOHJMO3bdvH4MGDQJg4MCBEqwIIUQuJhkWYTl378K4cer29Ong6ZnhQwMDA2nVqhXx8fHkz5+fDz/80EKNFEIIkRNIhkVYzpgxEB4O9euDNlOSEfv27aNLly7Ex8fTsWNHTpw4QYkSJSzYUCGEELZOMizCMo4eVcvuAyxaBPb2GTrs+PHjtG3blujoaBo2bMjatWtxc3OzYEOFEELkBJJhEeanKDB8uLrdpw/UrZuhw0JDQ+natSvR0dG0a9eO3bt3S7AihBACkIBFWMK6dXDokLqo4VdfZfiwSZMmcevWLcqWLcvatWtxcXGxYCOFEELkJBKwCPO6fz+pMNzYseDjk6HD/ve///Htt98CsHjxYtzd3S3VQiGEEDmQjGER5vXxx3D7Nrz0Enz6aYYOWb16Nb21KzgPGjSINm3aWLKFQgghciDJsAjz2bdPXeBQo1G7hTLQpXPixAn69u0LwIcffsiSJUss3EghhBA5kQQswjzi42HYMHV70CDIwDo/cXFx9O/fn7i4OLp06cKCBQuws5MfSSGEECnJp4Mwj2XL4J9/oEAB+PLLDB2ydu1azpw5Q8GCBVm2bJkEK0IIIdIknxAi6x4+hIkT1e1p06BQoQwdtli7IOKIESMoWrSopVonhBDiBSABi8i68ePhyROoUQMGD87QIf/88w+HDx8mT5489O/f38INFEIIkdNlKmBZvHgxpUuXxtnZmTp16hAYGJjmvhs3bqR169YUKVKE/Pnz4+fnx44dO1Lst2HDBipXroyTkxOVK1dm06ZNmWmayG4nT8Ly5er2t99muKLt1q1bAejQoQNeXl6Wap0QQogXhMkBy7p16xg+fDjjx4/n1KlTNG3alPbt2xMUFJTq/vv27aN169Zs3bqVEydO0KJFCzp16sSpU6f0+xw6dIju3bvTq1cvzpw5Q69evejWrRtHjhzJ/CsTlqco6jRmRYF33oGmTTN86L59+wBo2bKlpVonhBDiBaJRFEUx5YAGDRpQu3Zto+mnlSpVokuXLkyfPj1D56hSpQrdu3fn888/B6B79+6EhYWxbds2/T7t2rWjQIECrFmzJkPnDAsLw93dndDQUPLnz2/CKxKZtm4dvP22On354kXw9X3uIZGRkfz4448M084oOnnyJLVq1bJ0S4UQQtiojH5+m5RhiY2N5cSJEykKe7Vp04aDBw9m6ByJiYmEh4dTsGBB/WOHDh1Kcc62bdume86YmBjCwsKMbiIbRUQkFYYbMyZDwQrA4MGD9cEKQPXq1S3ROiGEEC8YkwKWhw8fkpCQgKenp9Hjnp6ehISEZOgcc+bM4dmzZ3Tr1k3/WEhIiMnnnD59Ou7u7vqbbwY/MIWZTJ0Kd+5AmTIwalSGDtm8eTM///yz/n7nzp2xz+CYFyGEELlbpkrzazQao/uKoqR4LDVr1qxh8uTJ/P777ymmsZp6zrFjxzJixAj9/bCwMAlassu5czB3rro9fz44Oz/3kIcPHzJYO4Po448/pm7durRo0cKSrRRCCPECMSlgKVy4MPb29ikyH/fv30+RIUlu3bp19O/fn19//ZVXXnnF6DkvLy+Tz+nk5ISTk5MpzRfmoCjwwQdqZdsuXaBjx+ceEhMTw1tvvcX9+/epXLkyM2bMwDkDQY4QQgihY1KXkKOjI3Xq1MHf39/ocX9/fxo1apTmcWvWrKFv376sXr2aV199NcXzfn5+Kc75999/p3tOYSWrVqlrBrm6qtmV57h//z7t2rUjICCAvHnzsnr1aglWhBBCmMzkLqERI0bQq1cv6tati5+fH9999x1BQUEMGTIEULtq7ty5w6pVqwA1WOnduzfz58+nYcOG+kyKi4sL7u7ugNpF8PLLLzNz5kw6d+7M77//zs6dO9m/f7+5Xqcwh8ePYeRIdXvSJChRIt3d/f396devH3fu3CFv3rxs2rSJGjVqZENDhRBCvHCUTFi0aJFSsmRJxdHRUaldu7ayd+9e/XN9+vRRmjVrpr/frFkzBUhx69Onj9E5f/31V6VChQqKg4ODUrFiRWXDhg0mtSk0NFQBlNDQ0My8JJERgwcrCihK5cqKEhub7q5jxozRv9cVKlRQzp8/n02NFEIIkZNk9PPb5DostkrqsFjYkSPg56eOYdm7F15+Oc1dAwMDeVn7/EcffcTUqVPlPRFCCJGqjH5+Z2qWkMhl4uPh/ffVYKVPn3SDlYSEBD744AMA+vfvz/wMjHMRQgghnkcWPxTPt3gxnDoFBQrArFnp7vrDDz/w77//4uHhwazn7CuEEEJklAQsIn1378KECer29OmQrH6OoS+//FI/+HrcuHFG1YyFEEKIrJAuIZG+4cMhPBzq14cBA9LcbfPmzUzQBjYDBgzg448/zqYGCiGEyA0kwyLStnUr/Por2NvDsmXq11TMnz+fN998E4BPPvmE5cuX4+jomJ0tFUII8YKTDItIXWQkfPihuj18ONSsmepuZ8+eZcSIESQmJvLuu+8yY8aMbGuiEEKI3EMCFpG6SZPgxg11FebJk1PdRVEUfbDyxhtv8Msvv2RrE4UQQuQe0iUkUjp+PGlxw8WLIW/eVHf766+/2LlzJ46OjjIjSAghhEVJwCKMxcVB//6QmAjvvJPm4oaxsbF8+umngLq0QpkyZbKzlUIIIXIZCViEsdmz4Z9/oFChdBc3nD17NpcuXaJo0aKMHz8+GxsohBAiN5IxLCLJ9eswZYq6/c03UKRIil0URWHkyJHM1XYZzZkzR7+IpRBCCGEpErAIlaLAsGEQHQ0tWkDPnqnu9r///Y85c+YAMGjQIHr06JGdrRRCCJFLSZeQUG3eDH/9BQ4O6kBbjcbo6fj4eGbMmMGwYcMAtartsmXL0CTbTwghhLAEybAIiIiAjz5St0eOhIoVjZ6+c+cOffr0YdeuXQD4+fkxcuTI7G6lEEKIXEwyLAK++AJu34ZSpSDZANqTJ09StWpVdu3ahZubGytWrGDfvn04ODhYp61CCCFyJQlYcruzZ9UBtgALF4KrKwCXL1+mU6dO1KlTh6dPn1K7dm2OHj1K3759yZNHEnNCCCGyl3zy5GaJifD++5CQAK+/Dq++CsD169dp1qwZwcHBAFStWpXdu3fLbCAhhBBWIxmW3Gz1ajhwANzc9DVXEhIS6NOnD8HBwVSsWJENGzZw7NgxCVaEEEJYlWRYcqvo6KTxKuPHg68vCQkJDB06lMDAQPLmzcu2bdsoVaqUVZsphBBCgAQsudeCBRAUBMWLw/DhxMTE0LNnT3777Tc0Gg1Lly6VYEUIIYTNkIAlN3r0CL76St2eNo2wuDhef/11du/ejYODA7/88gtvvfWWddsohBBCGJCAJTeaNg1CQ6FGDS43aECn+vW5ePEiefPmZfPmzbRq1craLRRCCCGMyKDb3Ob+fVi6FABl5kx69e3LxYsXKV68OAEBARKsCCGEsEmSYcltFi5UB9zWq8dPd+9y5MgR3NzcOHToEMWLF7d264QQQohUSYYlN4mIUAMWYGH16vR77z0ARo4cKcGKEEIImyYBS27yww/w5An3Spdm9Jo1AAwZMoRx48ZZuWFCCCFE+iRgyS0SE/XZlWklSxIZGUn9+vVZvHixrAskhBDC5knAklvs3g1XrnAtb16WHTgAwIwZM9BoNFZumBBCCPF8ErDkFtqZQeO8vIiLi6NNmza0aNHCyo0SQgghMkYCltzg7l3YvJm1wLorV7Czs2P69OnWbpUQQgiRYRKw5Abr1pGQkMBnjo4ATJgwgdq1a1u5UUIIIUTGScCSBQsWLOC9997j4MGD1m5K+n7/nQDgTmwsHh4eMitICCFEjiMBSxZs376dFStWcPHiRWs3JW0PH0JgIP/T3u3WrRtOTk5WbZIQQghhKglYssDFxQWAqKgoK7ckHX/9RWRiIhvs1Le6V69eVm6QEEIIYToJWLJAF7BER0dbuSXp2LyZ34GIxERKly5N48aNrd0iIYQQwmQSsGSBzWdYIiNhxw5+1t7t2bOn1F0RQgiRI0nAkgU2H7Ds3ElYVBR/a+/26NHDqs0RQgghMksClixwdnYGbDhg2byZXUA8UK5cOSpUqGDtFgkhhBCZIgFLFtj0GJaEBNiyhe3au+3bt7dqc4QQQoiskIAlC2y6S+jgQRIfPmSbdsxKu3btrNwgIYQQIvMkYMkCmw5Yfv+dvcAtRSFfvnw0a9bM2i0SQgghMk0Cliyw2TEsigKbN/Oj9u4777yDq6urVZskhBBCZIUELFlgsxmW8+eJvHqV37R3+/fvb9XmCCGEEFmVqYBl8eLFlC5dGmdnZ+rUqUNgYGCa+wYHB/Puu+9SoUIF7OzsGD58eIp9Vq5ciUajSXGzycGsBmx20O3mzewDogFfX1/q1atn7RYJIYQQWWJywLJu3TqGDx/O+PHjOXXqFE2bNqV9+/YEBQWlun9MTAxFihRh/Pjx1KhRI83z5s+fn+DgYKObrsvFVtlshmXzZvy1m61bt5ZicUIIIXI8kwOWuXPn0r9/fwYMGEClSpWYN28evr6+LFmyJNX9S5Uqxfz58+nduzfu7u5pnlej0eDl5WV0s3U2OYbl9m04fpyd2rutW7e2anOEEEIIczApYImNjeXEiRO0adPG6PE2bdpw8ODBLDUkIiKCkiVLUrx4cTp27MipU6eydL7sYJMZlj/+4C7wj/Zuq1atrNkaIYQQwixMClgePnxIQkICnp6eRo97enoSEhKS6UZUrFiRlStX8scff7BmzRqcnZ1p3Lgxly9fTvOYmJgYwsLCjG7ZzSbHsPz+O1u0mw0aNKBIkSJWbY4QQghhDpkadJt8TISiKFkaJ9GwYUN69uxJjRo1aNq0KevXr6d8+fJ8++23aR4zffp03N3d9TdfX99MXz+zbC7DEhoKe/bwu/bua6+9ZtXmCCGEEOZiUsBSuHBh7O3tU2RT7t+/nyLrkqVG2dlRr169dDMsY8eOJTQ0VH+7deuW2a6fUTY3hmXbNkLj4tilDR47d+5s5QYJIYQQ5mFSwOLo6EidOnXw9/c3etzf359GjRqZrVGKonD69Gm8vb3T3MfJyYn8+fMb3bKbYYZFUZRsv34KmzfzPRCrKFSpUoXKlStbu0VCCCGEWeQx9YARI0bQq1cv6tati5+fH9999x1BQUEMGTIEUDMfd+7cYdWqVfpjTp8+DagDax88eMDp06dxdHTUf6B+8cUXNGzYkHLlyhEWFsaCBQs4ffo0ixYtMsNLtBxdwALqgGQnJyfrNSYmhri//mK+9u4nn3wi05mFEEK8MEwOWLp3786jR4+YMmUKwcHBVK1ala1bt1KyZElALRSXvCZLrVq19NsnTpxg9erVlCxZkhs3bgDw9OlTBg0aREhICO7u7tSqVYt9+/ZRv379LLw0yzMMWKKioqwbsAQEEBARwS3UrrsePXpYry1CCCGEmWkUm+jLyLqwsDDc3d0JDQ3Ntu4hRVGwt7dHURTu3r2bbheWxQ0ezEfffce3qKX4v//+e+u1RQghhMigjH5+y1pCWaDRaGxjplB8PMrGjfyhvSuzg4QQQrxoJGDJIpuoxRIYyJmHD7mJOnPplVdesV5bhBBCCAuQgCWLbCLDsmEDP2s3O3TogKurq/XaIoQQQliABCxZZPVaLImJxBsELH369LFOO4QQQggLkoAli6yeYdm3j20hIdxDnR3Uvn1767RDCCGEsCAJWLLI6mNYVq9Gt052v379cHBwsE47hBBCCAuSgCWLrJphiYnhytq1bEedsTR48ODsb4MQQgiRDSRgySKrjmHZto3Z4eEoQPt27Shbtmz2t0EIIYTIBhKwZJE1MyzB33/PCu32mLFjs/36QgghRHaRgCWL3NzcAHj27Fn2XjgkhLXbthEL+NWoQdOmTbP3+kIIIUQ2koAli/LlywdAeHh49l74hx/YkpgIQPd+/bL32kIIIUQ2k4Ali6wSsCQk8HTpUgK1dzt27Jh91xZCCCGsQAKWLLJKwLJ1K9tu3yYeqFSxogy2FUII8cKTgCWLrBKwLF7MKu3mG2++mX3XFUIIIaxEApYsyvaA5do17m7fzt/au1KKXwghRG4gAUsWZXvAsmwZPwOJQJMmTXjppZey57pCCCGEFUnAkkXZGrDExKD88AMrtXcluyKEECK3kIAli7I1YPntN44/esQF1IJ1b731luWvKYQQQtgACViyKDsDFmXxYiZot7t27Yq7u7vFrymEEELYAglYsijbApZ//mH9wYP8DTg5OTF58mTLXk8IIYSwIRKwZJEuYImMjCQhIcFi1wmdOZNPtNvjxo2TwbZCCCFyFQlYskgXsABERERY5iJ37jBt7VqCgXK+vowePdoy1xFCCCFslAQsWeTk5ESePHkAy3ULhXz1FYu06wZ9s2QJTk5OFrmOEEIIYaskYMkijUZj2XEsYWHM+v57ooAG5cvToUMH819DCCGEsHESsJiBJQOW4LlzWRIbC8AX8+ah0WjMfg0hhBDC1knAYgYWC1ji4pg2Zw7RgF/ZsrRp18685xdCCCFyCAlYzMBSAcvpWbNYqh3I++WiRZJdEUIIkWtJwGIGFglYFIVxM2eSCHSrWpUWbdua79xCCCFEDiMBixlYImC58tNPbAsPRwN8tXKl2c4rhBBC5EQSsJiBrkT+48ePzXK+6Kgoxo0cCUD7kiUpW6eOWc4rhBBC5FR5rN2AF0H58uUBOH/+fJbPpSgKb7ZowV8PHwLw2axZWT6nEEIIkdNJhsUMqlWrBsDZs2ezfK6fVq7kryNHcAL+7NSJFt26ZfmcQgghRE4nAYsZ6AKW//77j1htzZTM2Lx5M4MGDQLgizx5eHXZMrO0TwghhMjpJGAxA19fX9zd3YmPj+fixYuZOsfjx4/p06cPcfHxvAl8+skn4O1t3oYKIYQQOZQELGag0WioWrUqkPluoa+//pqwsDCqA2sLFSLP+PFmbKEQQgiRs8mgWzOpWrUqBw4cyPDA25iYGMaPH09YWBheXl58/fXXAEwF7L/6CrQzj4QQQgghAYvZlC5dGoCgoKA091EUhZ9++okbN26wbds2jh49avR8d6BTkyYwYIAlmyqEEELkOBKwmImvry8At27dSnOfPXv20K9fP/19jUZDnTp14NEjaly/zgIHBzTLl4Od9NQJIYQQhiRgMZMSJUoA6WdYFi1apN+eNGkS7733HiUAtLOMmDwZKla0XCOFEEKIHEoCFjMxzLAkJiZilyxLcvPmTX7//XdAHZhbtWpVSEyEV16BsDBo2BBGjcr2dgshhBA5gfQ9mImPjw92dnbExcVx//79FM+PGjWKhIQEWrVqpZ9RxKJFsGcPuLrCqlWQR+JHIYQQIjUSsJiJg4MD3tq6KVOmTCE4OBhQB9pOnDiR9evXY2dnx9y5c9UDLl2C0aPV7a+/hnLlrNFsIYQQIkeQgMWMdONYlixZQp06dTh79iwrVqxg2rRpAHz++edUr14dFAUGDYKoKGjdGt5/35rNFkIIIWye9EGYUXR0tH47ODiYDh066Ev1T5s2jfG6YnAbNsDeveDsDMuXg0ZjjeYKIYQQOUamMiyLFy+mdOnSODs7U6dOHQIDA9PcNzg4mHfffZcKFSpgZ2fH8OHDU91vw4YNVK5cGScnJypXrsymTZsy0zSratWqFQCurq4UKVKE27dvc//+fXx9ffn000/VnaKi4LPP1O3Ro6FkSSu1VgghhMg5TA5Y1q1bx/Dhwxk/fjynTp2iadOmtG/fPs3pvDExMRQpUoTx48dTo0aNVPc5dOgQ3bt3p1evXpw5c4ZevXrRrVs3jhw5YmrzrGr06NHMmDGDmzdvsmDBAjQaDeXKlWPdunU4OzurOy1eDDdvgq+vzAoSQgghMkijKIpiygENGjSgdu3aLFmyRP9YpUqV6NKlC9OnT0/32ObNm1OzZk3mzZtn9Hj37t0JCwtj27Zt+sfatWtHgQIFWLNmTYbaFRYWhru7O6GhoeTPnz/jL8iCQkJCKFy4MHl0s3+ioqB0abh3D77/Hvr3t24DhRBCCCvL6Oe3SRmW2NhYTpw4QZs2bYweb9OmDQcPHsxcS1EzLMnP2bZt23TPGRMTQ1hYmNHN1nh5eSUFK6AGKffuqd1AvXpZr2FCCCFEDmNSwPLw4UMSEhLw9PQ0etzT05OQkJBMNyIkJMTkc06fPh13d3f9TVe4zWbFxMDMmer2mDHg6Gjd9gghhBA5SKYG3WqSzWpRFCXFY5Y+59ixYwkNDdXf0lvDxyasWAF37kCxYmCwnpAQQgghns+kac2FCxfG3t4+Rebj/v37KTIkpvDy8jL5nE5OTjg5OWX6mtkqLg5043tGj4ac0m4hhBDCRpiUYXF0dKROnTr4+/sbPe7v70+jRo0y3Qg/P78U5/z777+zdE6b8uuvEBQERYvCgAHWbo0QQgiR45hcOG7EiBH06tWLunXr4ufnx3fffUdQUBBDhgwB1K6aO3fusGrVKv0xp0+fBiAiIoIHDx5w+vRpHB0dqVy5MgAff/wxL7/8MjNnzqRz5878/vvv7Ny5k/3795vhJVqZosCcOer20KHg4mLd9gghhBA5kMkBS/fu3Xn06JF+vZyqVauydetWSmoLoAUHB6eoyVKrVi399okTJ1i9ejUlS5bkxo0bADRq1Ii1a9cyYcIEJk6cSNmyZVm3bh0NGjTIwkuzEfv2wcmTalVbKcEvhBBCZIrJdVhslS3WYQHg1Vdh61YYPBiWLrV2a4QQQgibYpE6LMJEhw6pwYq9PehK8wshhBDCZBKwWNLnn6tf+/SBcuWs2xYhhBAiB5OAxVL8/WHnTnBwgIkTrd0aIYQQIkeTgMUS4uNBtyr1++9DqVLWbI0QQgiR40nAYglLl8L581CoEEyebO3WCCGEEDmeBCzm9vBh0tiVadOgQAHrtkcIIYR4AUjAYm7jx8OTJ1C9ulS1FUIIIcxEAhZzOnAAli9Xt7/9FvKYXJdPCCGEEKmQgMVcYmLgvffUUvx9+sDLL1u7RUIIIcQLQwIWc5k/Hy5dAi8vmDfP2q0RQgghXigSsJjD3bswdaq6PXMmeHhYtTlCCCHEi0YCFnOYNg0iIqBhQ+jZ09qtEUIIIV44ErBkVVAQfP+9uj1jBtjJt1QIIYQwN/l0zaovv4S4OGjRApo1s3ZrhBBCiBeSBCxZcf06/Pijuv3FF9ZtixBCCPECk4AlK6ZOVdcNat0amja1dmuEEEKIF5YELJl1+TKsWqVuT5li3bYIIYQQLzgJWDJr4kRISIAOHdTZQUIIIYSwGAlYMuPoUVi3DjQaddCtEEIIISxKAhZThYVBr17qdq9eULOmVZsjhBBC5AYSsJhCUaB/f7UEf/HiMHu2tVskhBBC5AoSsJjiq6/gt9/AwQF+/RWKFLF2i4QQQohcQQKWjFq+HCZMULfnzpWBtkIIIUQ2koAlI9avh8GD1e1Ro+DDD63bHiGEECKXyWPtBti8LVuge3d1+623YPp0dXaQEEIIIbKNZFjSExmpDrIFdTbQ99/L4oZCCCGEFcinb3pcXWHzZnjzTThyBPLnt3aLhBBCiFxJuoSep1Ej9SaEEEIIq5EMixBCCCFsngQsQgghhLB5ErAIIYQQwuZJwCKEEEIImycBixBCCCFsngQsQgghhLB5ErAIIYQQwuZJwCKEEEIImycBixBCCCFsngQsQgghhLB5ErAIIYQQwuZJwCKEEEIImycBixBCCCFs3guzWrOiKACEhYVZuSVCCCGEyCjd57buczwtL0zAEh4eDoCvr6+VWyKEEEIIU4WHh+Pu7p7m8xrleSFNDpGYmMjdu3fJly8fGo3G2s0xm7CwMHx9fbl16xb58+e3dnNEMvL+2DZ5f2ybvD+2LzveI0VRCA8Px8fHBzu7tEeqvDAZFjs7O4oXL27tZlhM/vz55Rfahsn7Y9vk/bFt8v7YPku/R+llVnRk0K0QQgghbJ4ELEIIIYSweRKw2DgnJycmTZqEk5OTtZsiUiHvj22T98e2yftj+2zpPXphBt0KIYQQ4sUlGRYhhBBC2DwJWIQQQghh8yRgEUIIIYTNk4BFCCGEEDZPApZsNnnyZDQajdHNy8tL/7yiKEyePBkfHx9cXFxo3rw5586dMzpHTEwMw4YNo3Dhwri5ufHaa69x+/bt7H4pL4x9+/bRqVMnfHx80Gg0bN682eh5c70nT548oVevXri7u+Pu7k6vXr14+vSphV9dzve896dv374pfqcaNmxotI+8P5Yzffp06tWrR758+ShatChdunTh4sWLRvvI75D1ZOT9ySm/QxKwWEGVKlUIDg7W386ePat/btasWcydO5eFCxdy7NgxvLy8aN26tX6tJIDhw4ezadMm1q5dy/79+4mIiKBjx44kJCRY4+XkeM+ePaNGjRosXLgw1efN9Z68++67nD59mu3bt7N9+3ZOnz5Nr169LP76crrnvT8A7dq1M/qd2rp1q9Hz8v5Yzt69e/nwww85fPgw/v7+xMfH06ZNG549e6bfR36HrCcj7w/kkN8hRWSrSZMmKTVq1Ej1ucTERMXLy0uZMWOG/rHo6GjF3d1dWbp0qaIoivL06VPFwcFBWbt2rX6fO3fuKHZ2dsr27dst2vbcAFA2bdqkv2+u9+T8+fMKoBw+fFi/z6FDhxRA+e+//yz8ql4cyd8fRVGUPn36KJ07d07zGHl/stf9+/cVQNm7d6+iKPI7ZGuSvz+KknN+hyTDYgWXL1/Gx8eH0qVL8/bbb3Pt2jUArl+/TkhICG3atNHv6+TkRLNmzTh48CAAJ06cIC4uzmgfHx8fqlatqt9HmI+53pNDhw7h7u5OgwYN9Ps0bNgQd3d3ed/MICAggKJFi1K+fHkGDhzI/fv39c/J+5O9QkNDAShYsCAgv0O2Jvn7o5MTfockYMlmDRo0YNWqVezYsYPly5cTEhJCo0aNePToESEhIQB4enoaHePp6al/LiQkBEdHRwoUKJDmPsJ8zPWehISEULRo0RTnL1q0qLxvWdS+fXt++eUXdu/ezZw5czh27BgtW7YkJiYGkPcnOymKwogRI2jSpAlVq1YF5HfIlqT2/kDO+R16YVZrzinat2+v365WrRp+fn6ULVuWn376ST/ISaPRGB2jKEqKx5LLyD4i88zxnqS2v7xvWde9e3f9dtWqValbty4lS5bkr7/+omvXrmkeJ++P+Q0dOpR//vmH/fv3p3hOfoesL633J6f8DkmGxcrc3NyoVq0aly9f1s8WSh6N3r9/X//fiZeXF7GxsTx58iTNfYT5mOs98fLy4t69eynO/+DBA3nfzMzb25uSJUty+fJlQN6f7DJs2DD++OMP9uzZQ/HixfWPy++QbUjr/UmNrf4OScBiZTExMVy4cAFvb29Kly6Nl5cX/v7++udjY2PZu3cvjRo1AqBOnTo4ODgY7RMcHMy///6r30eYj7neEz8/P0JDQzl69Kh+nyNHjhAaGirvm5k9evSIW7du4e3tDcj7Y2mKojB06FA2btzI7t27KV26tNHz8jtkXc97f1Jjs79DZhm6KzLs008/VQICApRr164phw8fVjp27Kjky5dPuXHjhqIoijJjxgzF3d1d2bhxo3L27FnlnXfeUby9vZWwsDD9OYYMGaIUL15c2blzp3Ly5EmlZcuWSo0aNZT4+HhrvawcLTw8XDl16pRy6tQpBVDmzp2rnDp1Srl586aiKOZ7T9q1a6dUr15dOXTokHLo0CGlWrVqSseOHbP99eY06b0/4eHhyqeffqocPHhQuX79urJnzx7Fz89PKVasmLw/2eT9999X3N3dlYCAACU4OFh/i4yM1O8jv0PW87z3Jyf9DknAks26d++ueHt7Kw4ODoqPj4/StWtX5dy5c/rnExMTlUmTJileXl6Kk5OT8vLLLytnz541OkdUVJQydOhQpWDBgoqLi4vSsWNHJSgoKLtfygtjz549CpDi1qdPH0VRzPeePHr0SOnRo4eSL18+JV++fEqPHj2UJ0+eZNOrzLnSe38iIyOVNm3aKEWKFFEcHByUEiVKKH369EnxvZf3x3JSe28AZcWKFfp95HfIep73/uSk3yGN9gUJIYQQQtgsGcMihBBCCJsnAYsQQgghbJ4ELEIIIYSweRKwCCGEEMLmScAihBBCCJsnAYsQQgghbJ4ELEIIIYSweRKwCCGEEMLmScAihBBCCJsnAYsQQgghbJ4ELEIIIYSweRKwCCGEEMLm/R8bf4MXPbVb5AAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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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 = np.genfromtxt(f'data/FieldSpectrometer/{k}01/Data/{k}01_Refl.dat', 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": "411124d3", - "metadata": {}, - "source": [ - "We can also plot out the mapped reflectance (as above), but also the interpolated atmospheric conditions. The windows size is small enough here (and the atmospheric parameters are chosen in such a way) that the map is going to be pretty static...but we can still see it." - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "id": "7b27704a", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "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", - " plt.figure()\n", - " atm_ds = envi.open(os.path.join(output, f'NIS01_20210403_{key}','output',f'NIS01_20210403_{key}_atm_interp.hdr'))\n", - " atm = atm_ds.open_memmap(interleave='bip').copy()\n", - " plt.imshow(atm[...,0])\n", - " plt.title('AOD')\n", - " plt.colorbar()\n", - "\n", - " plt.figure()\n", - " plt.imshow(atm[...,1])\n", - " plt.title('Water Vapor')\n", - " plt.colorbar()\n", - "\n", - " plt.imshow" - ] - } - ], - "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/isotuts/NEON/neon_single_pixel.ipynb deleted file mode 100644 index 9e11b7a..0000000 --- a/isotuts/NEON/neon_single_pixel.ipynb +++ /dev/null @@ -1,233 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Setup\n", - "\n", - "This notebook is an excercise in running ISOFIT in pixel mode (dynamically from python), in order to get into some configuation details.\n", - "\n", - "Prerequisites:\n", - "- Run the neon.ipynb notebook succesfully - we'll use some of the outputs created from that intiial sample run" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Running Per-Pixel Retrievals\n", - "\n", - "That gave us a baseline run, but its not clear what might be improved. Let's load up some individual retrievals so we can understand the performance a bit better. \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": 6, - "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)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "\n", - "# 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": 9, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:root:Loading config file: /Users/brodrick/repos/isofit-tutorials/isotuts/NEON/outputs/NIS01_20210403_173647/config/NIS01_20210403_173647_isofit.json\n", - "INFO:/Users/brodrick/repos/isofit/isofit/radiative_transfer/radiative_transfer_engine.py:Loading from wavelength_file: /Users/brodrick/repos/isofit-tutorials/isotuts/NEON/outputs/NIS01_20210403_173647/data/wavelengths.txt\n", - "INFO:/Users/brodrick/repos/isofit/isofit/radiative_transfer/radiative_transfer_engine.py:Prebuilt LUT provided\n", - "WARNING:/Users/brodrick/repos/isofit/isofit/radiative_transfer/luts.py:Detected NaNs in the following LUT variable and may cause issues: thermal_upwelling\n", - "WARNING:/Users/brodrick/repos/isofit/isofit/radiative_transfer/luts.py:Detected NaNs in the following LUT variable and may cause issues: thermal_downwelling\n", - "INFO:/Users/brodrick/repos/isofit/isofit/radiative_transfer/radiative_transfer_engine.py:Resampling LUT to instrument spectral response.\n" - ] - } - ], - "source": [ - "\n", - "# Find where we're running the tutorial from\n", - "home = os.path.abspath(os.getcwd())\n", - "output = os.path.join(home,'outputs')\n", - "output_surface_file = os.path.join(output, 'surface.mat')\n", - "neon_id = '173647' #one of 173647, 174150\n", - "roi = report[neon_id]\n", - "indata = os.path.join(home, 'data') \n", - "\n", - "# 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 = output_surface_file\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(indata,f'NIS01_20210403_{neon_id}_rdn_ort')\n", - "config.input.obs_file = os.path.join(indata,f'NIS01_20210403_{neon_id}_rdn_obs_ort')\n", - "config.input.loc_file = os.path.join(indata,f'NIS01_20210403_{neon_id}_loc_ort')\n", - "\n", - "fm = ForwardModel(config)\n", - "io = IO(config, fm)\n", - "inv = Inversion(config, fm)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now that we have the basic setup, we can run some retrievals." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "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, Ls, 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": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(12, 428)\n", - "[0.11728845 0.61252989]\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:])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "isofit_env", - "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": "3.10.13" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/isotuts/__init__.py b/isotuts/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/mkdocs.yml b/mkdocs.yml new file mode 100644 index 0000000..af4c4c7 --- /dev/null +++ b/mkdocs.yml @@ -0,0 +1,19 @@ +site_name: ISOFIT Tutorials +repo_name: isofit/isofit-tutorials +repo_url: https://github.com/isofit/isofit-tutorials +docs_dir: docs/ +theme: + name: readthedocs +plugins: + - search + - nbconvert: + execute_enabled: true + max_workers: 1 + execute_options: + exit_on_error: false +nav: + - Home: index.md + - Notebooks: + - notebooks/apply_oe.md + - notebooks/neon.md + - notebooks/neon_single_pixel.md diff --git a/notebooks/apply_oe.ipynb b/notebooks/apply_oe.ipynb new file mode 100644 index 0000000..97a3d0b --- /dev/null +++ b/notebooks/apply_oe.ipynb @@ -0,0 +1,578 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a7c01409-b4ce-4ca8-bc30-cc1f32c8f131", + "metadata": {}, + "source": [ + "# Apply OE\n", + "\n", + "Apply OE is the built-in end-to-end atmospheric correction pipeline, and is the easiest way to run Isofit. Apply OE is run via a command line interface (CLI) tool accessed with a terminal call:\n", + "\n", + "```bash\n", + "isofit apply_oe --help\n", + "```\n", + "\n", + "The function docstring is printed when this command is run within a terminal window, and acts as a guide for how to run the function." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2338654c-71a4-4dec-afe4-fd637490408b", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "from isofit.utils.apply_oe import apply_oe\n", + "\n", + "print(apply_oe.__doc__)" + ] + }, + { + "cell_type": "markdown", + "id": "f8da0127-d6dd-4b93-9a64-4e504f19cb21", + "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 (except `--surface_path` which can be added at any point but still required). 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": "978d2a3b-a5c9-48eb-a738-9aa87b304a76", + "metadata": {}, + "source": [ + "## How do you run Apply OE?\n", + "\n", + "The script is run via the CLI. For example:\n", + "\n", + "> `IC=$(isofit path imagecube)` sets the environment variable `IC` to the output of the command `isofit path imagecube`. This is just used to reuse the same output for multiple arguments.\n", + "> Depending on the user's isofit installation environment, this path may vary. This command ensures the correct path is retrieved\n", + "\n", + "```bash\n", + " IC=$(isofit path imagecube)/small EX=$(isofit path examples)/image_cube/small \\\n", + " isofit apply_oe \\\n", + " $IC/ang20170323t202244_rdn_7000-7010 \\\n", + " $IC/ang20170323t202244_loc_7000-7010 \\\n", + " $IC/ang20170323t202244_obs_7000-7010 \\\n", + " $EX \\\n", + " ang \\\n", + " --surface_path $EX/configs/surface.json \\\n", + " --emulator_base $(isofit path srtmnet --key file) \\\n", + " --n_cores 10 \\\n", + " --presolve \\\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "d9e1a61d-a26d-4787-a764-e341064a6cde", + "metadata": {}, + "source": [ + "Here,\n", + "\n", + "```\n", + "$IC/ang20170323t202244_rdn_7000-7010\n", + "$IC/ang20170323t202244_loc_7000-7010\n", + "$IC/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 configuration file which will be built at runtime.\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": "code", + "execution_count": null, + "id": "ce1b3e94-fc7b-49f1-ad83-54ff9455b618", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# Alternatively, you can programatically call apply_oe. If you executed apply_oe via the command line above, do not run this\n", + "# We use the env object to retrieve the actual location of the ISOFIT extra dependencies instead of assuming where they could be\n", + "import os\n", + "import shutil\n", + "\n", + "from isofit.utils.apply_oe import apply_oe\n", + "from isofit.data import env\n", + "\n", + "output = env.path(\"examples\", \"image_cube\", \"small\")\n", + "\n", + "# Cleanup any previous runs; comment this out if you want to preserve a previous run's output\n", + "if (o := output / \"output\").exists():\n", + " shutil.rmtree(o)\n", + "\n", + "apply_oe(\n", + " input_radiance = str(env.path(\"imagecube\", \"small\", \"ang20170323t202244_rdn_7000-7010\")),\n", + " input_loc = str(env.path(\"imagecube\", \"small\", \"ang20170323t202244_loc_7000-7010\")),\n", + " input_obs = str(env.path(\"imagecube\", \"small\", \"ang20170323t202244_obs_7000-7010\")),\n", + " working_directory = str(output),\n", + " sensor = \"ang\",\n", + " surface_path = str(env.path(\"examples\", \"image_cube\", \"small\", \"configs\", \"surface.json\")),\n", + " emulator_base = str(env.path(\"srtmnet\", key=\"srtmnet.file\")),\n", + " presolve = True,\n", + " n_cores = os.cpu_count(),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "6bc40b92-fecd-4d9c-b962-8c0222dfd3a5", + "metadata": {}, + "source": [ + "We can examine both the inputs and outputs of Apply OE with this run call:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2fc5dc38-3b23-4692-880d-425e8d9d8474", + "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\n", + "from isofit.data import env" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9eab29c7-d5d5-46d7-91f3-030f21585a61", + "metadata": {}, + "outputs": [], + "source": [ + "# Load the input files\n", + "rdn_path = env.path(\"imagecube\", \"small\", \"ang20170323t202244_rdn_7000-7010\")\n", + "loc_path = env.path(\"imagecube\", \"small\", \"ang20170323t202244_loc_7000-7010\")\n", + "obs_path = env.path(\"imagecube\", \"small\", \"ang20170323t202244_obs_7000-7010\")\n", + "\n", + "rdn = envi.open(envi_header(str(rdn_path)))\n", + "loc = envi.open(envi_header(str(loc_path)))\n", + "obs = envi.open(envi_header(str(obs_path)))\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": null, + "id": "aa846108-871f-4409-b54d-4f5ab4644015", + "metadata": {}, + "outputs": [], + "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']]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "50d18818-f6c7-4ecf-aaef-d5f9d719cc74", + "metadata": {}, + "outputs": [], + "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": "576b40b6-db22-4ac6-aeae-4acfdcaf71e7", + "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": "9df3729d-c56a-4522-afac-7ef30726d4b8", + "metadata": {}, + "outputs": [], + "source": [ + "# Load the output files\n", + "rfl_path = env.path(\"examples\", \"image_cube\", \"small\", \"output\", \"ang20170323t202244_rfl\")\n", + "state_path = env.path(\"examples\", \"image_cube\", \"small\", \"output\", \"ang20170323t202244_state\")\n", + "uncert_path = env.path(\"examples\", \"image_cube\", \"small\", \"output\", \"ang20170323t202244_uncert\")\n", + "\n", + "rfl = envi.open(envi_header(str(rfl_path)))\n", + "state = envi.open(envi_header(str(state_path)))\n", + "uncert = envi.open(envi_header(str(uncert_path)))\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": "e19b86e5-89ab-4c82-812b-cde73bb48052", + "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": null, + "id": "fe85b203-fc0f-4cd0-ad00-0e9f0ac03b52", + "metadata": {}, + "outputs": [], + "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": "ae7693fd-02f5-4141-a9ec-8d96de1f7b1d", + "metadata": {}, + "source": [ + "## The Analytical Line\n", + "\n", + "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": "b42942d1-c44f-4c5f-b2d9-ba2382e967b1", + "metadata": {}, + "source": [ + "See the following CLI call to run Apply OE with the analytical line algorithm:\n", + "\n", + "```bash\n", + " IC=$(isofit path imagecube)/medium EX=$(isofit path examples)/image_cube/medium \\\n", + " isofit apply_oe \\\n", + " $IC/ang20170323t202244_rdn_7k-8k \\\n", + " $IC/ang20170323t202244_loc_7k-8k \\\n", + " $IC/ang20170323t202244_obs_7k-8k \\\n", + " $EX \\\n", + " ang \\\n", + " --surface_path $EX/configs/surface.json \\\n", + " --emulator_base $(isofit path srtmnet --key file) \\\n", + " --n_cores 10 \\\n", + " --presolve \\\n", + " --analytical_line \\\n", + " --segmentation_size 50 \\\n", + " --log_file $EX/log.txt\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." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a8592108-80b0-4828-9f32-bf0770419d59", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# Alternatively, you can programatically call apply_oe. If you executed apply_oe via the command line above, do not run this\n", + "# We use the env object to retrieve the actual location of the ISOFIT extra dependencies instead of assuming where they could be\n", + "import os\n", + "import shutil\n", + "\n", + "from isofit.utils.apply_oe import apply_oe\n", + "from isofit.data import env\n", + "\n", + "output = env.path(\"examples\", \"image_cube\", \"medium\")\n", + "\n", + "# Cleanup any previous runs; comment this out if you want to preserve a previous run's output\n", + "if (o := output / \"output\").exists():\n", + " shutil.rmtree(o)\n", + "\n", + "apply_oe(\n", + " input_radiance = str(env.path(\"imagecube\", \"medium\", \"ang20170323t202244_rdn_7k-8k\")),\n", + " input_loc = str(env.path(\"imagecube\", \"medium\", \"ang20170323t202244_loc_7k-8k\")),\n", + " input_obs = str(env.path(\"imagecube\", \"medium\", \"ang20170323t202244_obs_7k-8k\")),\n", + " working_directory = str(output),\n", + " sensor = \"ang\",\n", + " surface_path = str(env.path(\"examples\", \"image_cube\", \"medium\", \"configs\", \"surface.json\")),\n", + " emulator_base = str(env.path(\"srtmnet\", key=\"srtmnet.file\")),\n", + " presolve = True,\n", + " n_cores = os.cpu_count(),\n", + " analytical_line = True,\n", + " segmentation_size = 50,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "0ef8e2ed-f4b6-47cf-8987-cd10ef88a28f", + "metadata": {}, + "source": [ + "We can visualize what the segmentation is doing by leveraging the `isofit reconstruct_subs` CLI command:\n", + "\n", + "```bash\n", + "EX=$(isofit path examples)/image_cube/medium isofit reconstruct_subs \\\n", + " $EX/input/ang20170323t202244_subs_rdn \\\n", + " $EX/input/ang20170323t202244_subs_recon_rdn \\\n", + " $EX/output/ang20170323t202244_lbl\n", + "\n", + "EX=$(isofit path examples)/image_cube/medium isofit reconstruct_subs \\\n", + " $EX/input/ang20170323t202244_subs_loc \\\n", + " $EX/input/ang20170323t202244_subs_recon_loc \\\n", + " $EX/output/ang20170323t202244_lbl\n", + "\n", + "EX=$(isofit path examples)/image_cube/medium isofit reconstruct_subs \\\n", + " $EX/input/ang20170323t202244_subs_obs \\\n", + " $EX/input/ang20170323t202244_subs_recon_obs \\\n", + " $EX/output/ang20170323t202244_lbl\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3fcae661-e29a-4f0a-93af-7f2eb9f72864", + "metadata": {}, + "outputs": [], + "source": [ + "from isofit.utils.reconstruct import reconstruct_subs\n", + "\n", + "for product in (\"rdn\", \"loc\", \"obs\"):\n", + " reconstruct_subs(\n", + " input_subs_path = str(env.path(\"examples\", \"image_cube\", \"medium\", \"input\", f\"ang20170323t202244_subs_{product}\")),\n", + " output_path = str(env.path(\"examples\", \"image_cube\", \"medium\", \"input\", f\"ang20170323t202244_subs_recon_{product}\")),\n", + " lbl_working_path = str(env.path(\"examples\", \"image_cube\", \"medium\", \"output\", \"ang20170323t202244_lbl\")),\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "67a4d262-1d7e-4459-9020-f2ce8073706d", + "metadata": {}, + "source": [ + "Visualizing the input data:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "313c6155-0629-4f0f-be29-ebbcb7e86eb1", + "metadata": {}, + "outputs": [], + "source": [ + "# Plotting the input data\n", + "rdn_path = env.path(\"imagecube\", \"medium\", \"ang20170323t202244_rdn_7k-8k\")\n", + "loc_path = env.path(\"imagecube\", \"medium\", \"ang20170323t202244_loc_7k-8k\")\n", + "obs_path = env.path(\"imagecube\", \"medium\", \"ang20170323t202244_obs_7k-8k\")\n", + "\n", + "subs_rdn_path = env.path(\"examples\", \"image_cube\", \"medium\", \"input\", \"ang20170323t202244_subs_recon_rdn\")\n", + "subs_loc_path = env.path(\"examples\", \"image_cube\", \"medium\", \"input\", \"ang20170323t202244_subs_recon_loc\")\n", + "subs_obs_path = env.path(\"examples\", \"image_cube\", \"medium\", \"input\", \"ang20170323t202244_subs_recon_obs\")\n", + "\n", + "rdn = envi.open(envi_header(str(rdn_path)))\n", + "loc = envi.open(envi_header(str(loc_path)))\n", + "obs = envi.open(envi_header(str(obs_path)))\n", + "\n", + "subs_rdn = envi.open(envi_header(str(subs_rdn_path)))\n", + "subs_loc = envi.open(envi_header(str(subs_loc_path)))\n", + "subs_obs = envi.open(envi_header(str(subs_obs_path)))\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=(10, 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": "8cdff6b1-6c19-4808-808f-f928cdde0975", + "metadata": {}, + "source": [ + "We can examine the results from Apply OE after the OE solutions on the superpixels:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a7765211-0af3-4ac4-a45e-4a21592ed8d5", + "metadata": {}, + "outputs": [], + "source": [ + "wl = np.array(rdn.metadata['wavelength']).astype(float)\n", + "\n", + "state_path = str(env.path(\"examples\", \"image_cube\", \"medium\", \"output\", \"ang20170323t202244_recon_subs_state\"))\n", + "reconstruct_subs(\n", + " input_subs_path = str(env.path(\"examples\", \"image_cube\", \"medium\", \"output\", \"ang20170323t202244_subs_state\")),\n", + " output_path = state_path,\n", + " lbl_working_path = str(env.path(\"examples\", \"image_cube\", \"medium\", \"output\", \"ang20170323t202244_lbl\")),\n", + ")\n", + "\n", + "state = envi.open(envi_header(str(state_path)))\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()" + ] + }, + { + "cell_type": "markdown", + "id": "90de816b-9dbd-4b70-8224-f249611eb005", + "metadata": {}, + "source": [ + "Finally, we can examine the final results at the end of the anlaytical line algorithm:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e8ff6483-4b9e-4a7d-9c4d-8a237e0f4f5f", + "metadata": {}, + "outputs": [], + "source": [ + "rfl_path = env.path(\"examples\", \"image_cube\", \"medium\", \"output\", \"ang20170323t202244_rfl\")\n", + "atm_path = env.path(\"examples\", \"image_cube\", \"medium\", \"output\", \"ang20170323t202244_atm_interp\")\n", + "\n", + "rfl = envi.open(envi_header(str(rfl_path)))\n", + "atm = envi.open(envi_header(str(atm_path)))\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()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "isofit", + "language": "python", + "name": "isofit" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/neon.ipynb b/notebooks/neon.ipynb new file mode 100644 index 0000000..bf7a7b2 --- /dev/null +++ b/notebooks/neon.ipynb @@ -0,0 +1,414 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "9d4baad2-4ac0-4453-9522-9ddf5f98fce2", + "metadata": {}, + "source": [ + "# NEON\n", + "\n", + "This notebook is an excercise in executing ISOFIT on two dates from the NEON dataset and interpreting the outputs of ISOFIT.\n", + "\n", + "Prerequisites:\n", + "- Have ISOFIT installed and sRTMnet configured.\n", + "- Download the [sample data](https://avng.jpl.nasa.gov/pub/PBrodrick/isofit/tutorials/subset_data.zip) and place the unzipped `data` directory into the same directory of this notebook.\n", + "\n", + "Note: If you downloaded the [ISOFIT extra data](https://isofit.readthedocs.io/en/latest/custom/data.html) via `isofit download`, both sRTMnet and the NEON data files will be installed correctly and available with default settings for this notebook." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8700e0db-d74f-45e7-8257-d2fd95d0c8a3", + "metadata": {}, + "outputs": [], + "source": [ + "# Jupyter magics\n", + "%matplotlib inline\n", + "\n", + "# Builtin\n", + "import os\n", + "import shutil\n", + "from pathlib import Path\n", + "from types import SimpleNamespace\n", + "\n", + "# External\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches as patches\n", + "import numpy as np\n", + "from spectral.io import envi\n", + "\n", + "# Internal\n", + "import isofit\n", + "from isofit.data import env\n", + "from isofit.utils.apply_oe import apply_oe\n", + "from isofit.utils.surface_model import surface_model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eb82900c-71a0-475d-b2b1-5aa4b401bd33", + "metadata": {}, + "outputs": [], + "source": [ + "# Below are the default values for the ISOFIT environment. Change these if your environment differs\n", + "\n", + "env.load('~/.isofit/isofit.ini') # Ini file to load\n", + "env.changeSection('DEFAULT') # Section of the ini to use\n", + "# env.changeBase('~./isofit') # Base path for ISOFIT extras (data, examples, etc)\n", + "# env.changePath('srtmnet', '/path/to/sRTMnet_v120.h5') # Overwrite the path to sRTMnet - copy this line for other products such as sixs if in non-default locations\n", + "\n", + "print('Using environment paths:')\n", + "for key, path in env.items():\n", + " print(f\"- {key} = {path}\")" + ] + }, + { + "cell_type": "markdown", + "id": "4c20024f-2ab4-47d8-8ce1-5083abdbf4f4", + "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." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "28a2004d-22b5-4137-a3d1-8d3ff40f42fe", + "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", + "\n", + "# Which NEON date to process - change this to process a different date\n", + "neon_id = list(report.keys())[0]\n", + "neon_str = f\"NIS01_20210403_{neon_id}\"\n", + "\n", + "# Select the locations from the neon id -- roi == Regions of Interest\n", + "roi = report[neon_id]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "75c4c82d-ce28-43a4-9208-b7691d660deb", + "metadata": {}, + "outputs": [], + "source": [ + "# Set the paths for this tutorial\n", + "base = Path(env.path('examples', 'NEON'))\n", + "raws = base / 'data'\n", + "data = base / 'neon_subset'\n", + "\n", + "paths = SimpleNamespace(\n", + " rdn = str(data / f'{neon_str}_rdn_ort'),\n", + " loc = str(data / f'{neon_str}_loc_ort'),\n", + " obs = str(data / f'{neon_str}_obs_ort'),\n", + " insitu = raws,\n", + " output = base / 'output',\n", + " working = base / f'output/NIS01_20210403_{neon_id}',\n", + " surface = str(base / 'output/surface.mat'),\n", + " surface_config = env.path('examples', '20171108_Pasadena', 'configs', 'ang20171108t184227_surface.json')\n", + ")\n", + "\n", + "paths.output.mkdir(exist_ok=True, parents=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0045e16e-0b09-4498-a6de-3718426d10c0", + "metadata": {}, + "outputs": [], + "source": [ + "# If you are missing either an OBS file or a LOC file, use these to create faked versions based off the radiance file\n", + "# This should not be needed if using the provided data\n", + "# Using this may cause the below plots to not generate the same results\n", + "\n", + "# import neon_utils\n", + "\n", + "# paths.obs = neon_utils.fakeOBS(\n", + " # f\"{paths.rdn}.hdr\",\n", + " # sea = 153.4481201171875,\n", + " # sez = 178.3806858062744,\n", + " # soa = 39.8218994140625,\n", + " # soz = 39.8218994140625,\n", + " # slope = 31.813383102416992\n", + "# )[:-4] # Remove the .hdr extension from the return\n", + "# paths.loc = neon_utils.fakeLOC(\n", + "# rdn = f\"{paths.rdn}.hdr\",\n", + "# lon = -105.237000,\n", + "# lat = 40.125000,\n", + "# elv = 1689.0\n", + "# )[:-4]" + ] + }, + { + "cell_type": "markdown", + "id": "2c19da31-43f0-423f-b77f-b1abace44538", + "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": null, + "id": "924acbe8-9e91-4fdc-9441-35dd9dbfee7b", + "metadata": {}, + "outputs": [], + "source": [ + "# First build a surface model\n", + "surface_model(\n", + " config_path = paths.surface_config,\n", + " output_path = paths.surface,\n", + " wavelength_path = f\"{paths.rdn}.hdr\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a1c373e-ceb3-4049-9468-fbaba544bb5d", + "metadata": {}, + "outputs": [], + "source": [ + "# For reference, all of the available parameters to the apply_oe script\n", + "print(apply_oe.__doc__)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3c664447-662a-4bc6-86e7-992566300975", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# Add a ray shutdown, just in case this is being re-called\n", + "import ray\n", + "ray.shutdown()\n", + "\n", + "# Cleanup any previous runs; comment this out if you want to preserve a previous run's output\n", + "if Path(paths.working).exists():\n", + " shutil.rmtree(paths.working)\n", + "\n", + "apply_oe(\n", + " input_radiance = paths.rdn, # Radiance\n", + " input_loc = paths.loc, # Location\n", + " input_obs = paths.obs, # Observations\n", + " working_directory = str(paths.working), # Output directory\n", + " sensor = \"neon\",\n", + " surface_path = paths.surface, # Surface priors - often changes\n", + " emulator_base = f\"{env.srtmnet}/sRTMnet_v120.h5\",\n", + " surface_category = \"multicomponent_surface\",\n", + "\n", + " modtran_path = None,\n", + " atmosphere_type = \"ATM_MIDLAT_SUMMER\", # MODTRAN\n", + " aerosol_climatology_path = None, # MODTRAN\n", + "\n", + " rdn_factors_path = None, # RCC update used 'on the fly'\n", + " model_discrepancy_path = None, # Model discrepancy term - handle things like unknown radiative transfer model effects\n", + " channelized_uncertainty_path = None, # Channelized uncertainty - if you have an instrument model\n", + "\n", + " multiple_restarts = False, # Useful if the AOD conditions are really challenging\n", + "\n", + " presolve = True, # Attempts to solve for the right wv range\n", + " empirical_line = False, # wavelength-specific local linear interpolation between radiance and reflectance\n", + " analytical_line = True, # mathematical representation of OE given that the atmsophere is known\n", + "\n", + " segmentation_size = 10,\n", + " num_neighbors = [5],\n", + " atm_sigma = [0.5, 0.5],\n", + " pressure_elevation = False,\n", + "\n", + " n_cores = os.cpu_count(),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "13eba999-d0e7-49fa-a70b-dff7150b327d", + "metadata": {}, + "source": [ + "## Plotting\n", + "\n", + "Below plots the regions of interest defined by a NEON report." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "270bdef1-85fe-444c-9fbf-c3786d81cdde", + "metadata": {}, + "outputs": [], + "source": [ + "# Load in the ISOFIT reflectance output\n", + "ds = envi.open(paths.working / f\"output/{neon_str}_rfl.hdr\")\n", + "rfl = ds.open_memmap(interleave='bip')\n", + "rgb = rfl[:, :, [60, 40, 30]].copy()\n", + "wl = np.array(ds.metadata['wavelength'], dtype=float)\n", + "\n", + "# Find the bounding box for all regions of interest (RoI)\n", + "regions = report[neon_id]\n", + "bounds = np.vstack(list(regions.values()))\n", + "y = bounds[:, 0].min() - 5 # , bounds[:, 1].max() + 5\n", + "x = bounds[:, 2].min() - 5 # , bounds[:, 3].max() + 5" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ca5e8ff-d5f1-4cb8-a111-950f4a67f10a", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the RoIs\n", + "fig, ax = plt.subplots(figsize=(7, 7))\n", + "\n", + "ax.imshow(rgb / np.max(rgb, axis=(0, 1))) # Dividing brightens the image\n", + "ax.set_title(neon_str)\n", + "\n", + "for i, (roi, region) in enumerate(regions.items()):\n", + " rect = patches.Rectangle(\n", + " (region[2] - x, region[0] - y),\n", + " region[3] - region[2],\n", + " region[1] - region[0],\n", + " linewidth = 1,\n", + " edgecolor = f'C{i}',\n", + " facecolor = 'none',\n", + " label = roi\n", + " )\n", + " ax.add_patch(rect)\n", + "ax.legend(loc='lower right')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "be5246af-a8aa-45e1-aa40-944d6d1e8923", + "metadata": {}, + "outputs": [], + "source": [ + "fig, axes = plt.subplots(len(regions), sharex=True, figsize=(10, 3*len(regions)))\n", + "\n", + "for i, (roi, region) in enumerate(regions.items()):\n", + " ax = axes[i]\n", + "\n", + " in_situ = np.genfromtxt(paths.insitu / f'{roi}01/Data/{roi}01_Refl.dat', skip_header=3)\n", + " ax.plot(in_situ[:, 0], in_situ[:, 1], label='In Situ', c='red', ls='-')\n", + "\n", + " mean_rfl = np.mean(\n", + " rfl[\n", + " region[0] - y : region[1] - y,\n", + " region[2] - x : region[3] - x,\n", + " ],\n", + " axis = (0, 1)\n", + " )\n", + "\n", + " ax.plot(wl, mean_rfl, label='Isofit', c='black')\n", + "\n", + " ax.set_ylabel('Reflectance')\n", + " ax.set_title(roi)\n", + " ax.legend()\n", + "\n", + "ax.set_xlabel('Wavelength')\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "e558a01d-7c72-4f55-8c27-c339ae28bf6e", + "metadata": {}, + "source": [ + "We can plot out the mapped reflectance (as above), but also the interpolated atmospheric conditions. The windows size is small enough here (and the atmospheric parameters are chosen in such a way) that the map is going to be pretty static...but we can still see it." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef58d14c-7a7a-44ab-bc08-022b592bc507", + "metadata": {}, + "outputs": [], + "source": [ + "dat = envi.open(paths.working / f\"output/{neon_str}_atm_interp.hdr\")\n", + "atm = dat.open_memmap(interleave='bip').copy()\n", + "\n", + "plt.figure(figsize=(7, 7))\n", + "plt.title('AOD')\n", + "plt.imshow(atm[..., 0])\n", + "plt.colorbar()\n", + "\n", + "plt.figure(figsize=(7, 7))\n", + "plt.title('Water Vapor')\n", + "plt.imshow(atm[..., 1])\n", + "plt.colorbar()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "isofit", + "language": "python", + "name": "isofit" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/neon_single_pixel.ipynb b/notebooks/neon_single_pixel.ipynb new file mode 100644 index 0000000..9665446 --- /dev/null +++ b/notebooks/neon_single_pixel.ipynb @@ -0,0 +1,268 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "fec757f0-a873-4c0f-a96e-bdfbe7758bc7", + "metadata": {}, + "source": [ + "# NEON Single Pixel\n", + "\n", + "This notebook is an excercise in running ISOFIT in pixel mode (dynamically from python), in order to get into some configuation details.\n", + "\n", + "Prerequisites:\n", + "- Run the neon.ipynb notebook succesfully - we'll use some of the outputs created from that intiial sample run" + ] + }, + { + "cell_type": "markdown", + "id": "5a47fd98-5138-465b-8c33-e8218e36eebd", + "metadata": {}, + "source": [ + "## Running Per-Pixel Retrievals\n", + "\n", + "That gave us a baseline run, but its not clear what might be improved. Let's load up some individual retrievals so we can understand the performance a bit better. \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": null, + "id": "f2095c85-5c06-455b-804b-65f6e7d39e99", + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "\n", + "import os\n", + "import logging\n", + "from pathlib import Path\n", + "from types import SimpleNamespace\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from spectral.io import envi\n", + "\n", + "from isofit.core.isofit import Isofit\n", + "from isofit.core.fileio import IO\n", + "from isofit.core.forward import ForwardModel\n", + "from isofit.data import env\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", + "logging.getLogger().setLevel(logging.INFO)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e182e612-7d75-42ef-8898-3c0e6f6f5a38", + "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", + "\n", + "# Which NEON date to process - change this to process a different date\n", + "neon_id = list(report.keys())[0]\n", + "neon_str = f\"NIS01_20210403_{neon_id}\"\n", + "\n", + "# Select the locations from the neon id -- roi == Regions of Interest\n", + "roi = report[neon_id]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "70276641-1087-4de0-b5bc-7c22ee6c3111", + "metadata": {}, + "outputs": [], + "source": [ + "# Below are the default values for the ISOFIT environment. Change these if your environment differs\n", + "\n", + "env.load('~/.isofit/isofit.ini') # Ini file to load\n", + "env.changeSection('DEFAULT') # Section of the ini to use\n", + "# env.changeBase('~./isofit') # Base path for ISOFIT extras (data, examples, etc)\n", + "# env.changePath('srtmnet', '/path/to/sRTMnet_v120.h5') # Overwrite the path to sRTMnet - copy this line for other products such as sixs if in non-default locations\n", + "\n", + "print('Using environment paths:')\n", + "for key, path in env.items():\n", + " print(f\"- {key} = {path}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a346268a-34b5-472d-8db4-c8a41e903dac", + "metadata": {}, + "outputs": [], + "source": [ + "# Set the paths for this tutorial\n", + "base = Path(env.path('examples', 'NEON'))\n", + "raws = base / 'data'\n", + "data = base / 'neon_subset'\n", + "\n", + "paths = SimpleNamespace(\n", + " rdn = str(data / f'{neon_str}_rdn_ort'),\n", + " loc = str(data / f'{neon_str}_loc_ort'),\n", + " obs = str(data / f'{neon_str}_obs_ort'),\n", + " insitu = raws,\n", + " output = base / 'output',\n", + " working = base / f'output/NIS01_20210403_{neon_id}',\n", + " surface = str(base / 'output/surface.mat'),\n", + " surface_config = env.path('examples', '20171108_Pasadena', 'configs', 'ang20171108t184227_surface.json')\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1df6f0e3-51ed-41b3-b8cb-4157f1a43062", + "metadata": {}, + "outputs": [], + "source": [ + "# Now run actual retrievals\n", + "config = configs.create_new_config(paths.working / \"config\" / f\"{neon_str}_isofit.json\")\n", + "config.input.measured_radiance_file = paths.rdn\n", + "config.input.obs_file = paths.obs\n", + "config.input.loc_file = paths.loc\n", + "\n", + "fm = ForwardModel(config)\n", + "io = IO(config, fm)\n", + "inv = Inversion(config, fm)" + ] + }, + { + "cell_type": "markdown", + "id": "da02b1eb-48d8-41d5-a66b-1ba70d76a81b", + "metadata": {}, + "source": [ + "## Inversions" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "81519633-46d9-44a5-be50-2929ae6789a2", + "metadata": {}, + "outputs": [], + "source": [ + "region = \"Veg\"\n", + "\n", + "# Find the tightened bounding box of all the regions of interest\n", + "r = np.stack(list(report[neon_id].values())).T\n", + "Y = r[0].min() - 5, r[1].max() + 5\n", + "X = r[2].min() - 5, r[3].max() + 5\n", + "\n", + "area = roi[region]\n", + "bounds = slice(*area[:2] - Y[0]), slice(*area[2:] - X[0])\n", + "\n", + "read = lambda file: np.mean(envi.open(file).open_memmap(interleave=\"bip\")[bounds].copy(), axis=(0, 1))\n", + "rdn = read(f\"{config.input.measured_radiance_file}.hdr\")\n", + "obs = read(f\"{config.input.obs_file}.hdr\")\n", + "loc = read(f\"{config.input.loc_file}.hdr\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "39c1df3e-1910-4b27-a169-f6fb6461abc7", + "metadata": {}, + "outputs": [], + "source": [ + "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", + "rfl_est, coeffs = invert_algebraic(\n", + " fm.surface, \n", + " fm.RT, \n", + " fm.instrument, \n", + " x_surface, \n", + " x_RT, \n", + " x_instrument,\n", + " rdn, \n", + " geom,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "c952299e-5c23-4c22-8dbf-8490f4427972", + "metadata": {}, + "source": [ + "## Plotting" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "75ee3b3c-7ad9-4b4d-84b0-03ffcf0e95d3", + "metadata": { + "scrolled": true + }, + "outputs": [], + "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", + "\n", + "for n in range(0, states.shape[0], 3):\n", + " plt.plot(wl_nan, states[n, :-2] + 0.04*n,\n", + " label = f\"Step {n}\" if n else \"Algebraic Inversion at Initial Guess\"\n", + " )\n", + "\n", + "plt.legend()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "isofit", + "language": "python", + "name": "isofit" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/isotuts/utils.py b/notebooks/neon_utils.py similarity index 98% rename from isotuts/utils.py rename to notebooks/neon_utils.py index b81b6ae..4dc4960 100644 --- a/isotuts/utils.py +++ b/notebooks/neon_utils.py @@ -3,7 +3,7 @@ from spectral.io import envi -Logger = logging.getLogger(__file__) +Logger = logging.getLogger(__name__) def getMetadata(file, remove=['fwhm', 'band names', 'wavelength', 'wavelength units']): @@ -27,6 +27,7 @@ def getMetadata(file, remove=['fwhm', 'band names', 'wavelength', 'wavelength un return metadata + def fakeLOC(rdn, lon, lat, elv, output=None, **kwargs): """ Creates a fake LOC file @@ -66,6 +67,7 @@ def fakeLOC(rdn, lon, lat, elv, output=None, **kwargs): del ds, loc + 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): """ Creates a fake OBS file diff --git a/pyproject.toml b/pyproject.toml index fed528d..042d516 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,3 +1,11 @@ -[build-system] -requires = ["setuptools"] -build-backend = "setuptools.build_meta" +[project] +name = "tutorials-clean" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "jupyter>=1.1.1", + "mkdocs>=1.6.1", + "mkdocs-nbconvert>=0.5", +] From cf191e3ef5d8ed1fb780df882210169653bad8bf Mon Sep 17 00:00:00 2001 From: James Montgomery Date: Thu, 22 Jan 2026 11:40:07 -0800 Subject: [PATCH 2/2] Added dependencies --- pyproject.toml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index 042d516..fc5a877 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,7 +5,9 @@ description = "Add your description here" readme = "README.md" requires-python = ">=3.12" dependencies = [ + "isofit>=3.6.1", "jupyter>=1.1.1", + "matplotlib>=3.10.8", "mkdocs>=1.6.1", "mkdocs-nbconvert>=0.5", ]